fix(sdk): release completed embedded request signals

refactor(tui): remove unused plugin theme registration (#52992 )
refactor(tui): remove unused V1 syntax theme generation (#52987 )
2026-10-04 06:26:19 +00:00 · 2026-10-04 04:59:58 +00:00 · 2026-10-03 21:50:55 -07:00 · 2026-10-03 21:43:07 -07:00 · 2026-10-03 21:43:03 -07:00 · 2026-10-03 21:34:00 -07:00
1025 changed files with 35334 additions and 14063 deletions
@@ -45,14 +45,16 @@ runs:
    - name: Get cache directory
      id: cache
      shell: bash
-      run: echo "dir=$(bun pm cache)" >> "$GITHUB_OUTPUT"
+      run: |
+        echo "dir=$(bun pm cache)" >> "$GITHUB_OUTPUT"
+        echo "version=$(bun --version)" >> "$GITHUB_OUTPUT"

    - name: Restore Bun dependencies
      id: bun-cache
      uses: actions/cache/restore@0057852bfaa89a56745cba8c7296529d2fc39830 # v4.3.0
      with:
        path: ${{ steps.cache.outputs.dir }}
-        key: ${{ runner.os }}-bun-${{ hashFiles('**/bun.lock') }}
+        key: ${{ runner.os }}-${{ runner.arch }}-bun-${{ steps.cache.outputs.version }}-${{ hashFiles('bun.lock', 'patches/**') }}

    - name: Install setuptools for distutils compatibility
      run: python3 -m pip install setuptools || pip install setuptools || true
@@ -75,4 +77,4 @@ runs:
      uses: actions/cache/save@0057852bfaa89a56745cba8c7296529d2fc39830 # v4.3.0
      with:
        path: ${{ steps.cache.outputs.dir }}
-        key: ${{ runner.os }}-bun-${{ hashFiles('**/bun.lock') }}
+        key: ${{ steps.bun-cache.outputs.cache-primary-key }}
@@ -7,6 +7,10 @@ on:
    branches: [dev, v2]
  workflow_dispatch:

+concurrency:
+  group: ${{ case(github.ref == 'refs/heads/dev', format('{0}-{1}', github.workflow, github.run_id), format('{0}-{1}', github.workflow, github.event.pull_request.number || github.ref)) }}
+  cancel-in-progress: true
+
 jobs:
  check:
    name: typecheck
@@ -14,9 +18,20 @@ jobs:
    steps:
      - name: Checkout repository
        uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4.3.1
+        with:
+          # A pull request checks out its merge into the current base; the first parent is that base.
+          fetch-depth: 2

      - name: Setup Bun
        uses: ./.github/actions/setup-bun

      - name: Run checks
        run: bun run check
+
+      # Every GUI package file (app, desktop, gui-extensions, ui, session-ui) a pull request adds or edits must be free of
+      # oxlint problems, warn-level rules (anti-slop) included. Other packages are not affected.
+      - name: Lint changed files
+        if: github.event_name == 'pull_request'
+        # Against the merge's first parent, so base-branch commits the pull request has not merged are not counted as its
+        # changes (the event's base SHA can predate them).
+        run: bun run lint:changed HEAD^1
@@ -2,9 +2,9 @@ name: nix-eval

 on:
  push:
-    branches: [dev]
+    branches: [dev, v2]
  pull_request:
-    branches: [dev]
+    branches: [dev, v2]
  workflow_dispatch:

 concurrency:
@@ -94,12 +94,6 @@ jobs:
          git config --global user.email "bot@opencode.ai"
          git config --global user.name "opencode"

-      - name: Install ffmpeg
-        if: runner.os == 'Linux'
-        run: |
-          sudo apt-get update
-          sudo apt-get install --yes ffmpeg
-
      - name: Cache Turbo
        uses: actions/cache@0057852bfaa89a56745cba8c7296529d2fc39830 # v4.3.0
        with:
@@ -258,6 +252,13 @@ jobs:
          CI: true
        timeout-minutes: 15

+      - name: Run app component tests
+        if: ${{ !cancelled() && env.E2E_ENABLED == 'true' }}
+        run: bun --cwd packages/app test:components
+        env:
+          CI: true
+        timeout-minutes: 15
+
      - name: Upload Playwright artifacts
        if: always() && env.E2E_ENABLED == 'true'
        uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2
@@ -270,3 +271,5 @@ jobs:
            packages/app/e2e/playwright-report
            packages/session-ui/component-tests/test-results
            packages/session-ui/component-tests/playwright-report
+            packages/app/component-tests/test-results
+            packages/app/component-tests/playwright-report
@@ -63,8 +63,60 @@
        "anti-slop-effect/prefer-effect-match": "warn"
      }
    },
+    {
+      "files": ["packages/gui-extensions/src/*.ts", "packages/gui-extensions/src/*.tsx"],
+      "rules": {
+        "no-restricted-imports": [
+          "error",
+          {
+            "paths": [
+              {
+                "name": "solid-js",
+                "importNames": ["createEffect", "createRenderEffect", "createComputed"],
+                "message": "Extension code runs side effects through the SDK: createKeyed(source, fn, { otherwise }) per provider generation or value, createMemo or a plain function for derived values, createLatest for async data, createVisitState for per-visit state, and the handler for logic a user action causes. An escape hatch needs an oxlint-disable comment with a reason."
+              }
+            ]
+          }
+        ]
+      }
+    },
    {
      "files": ["packages/gui-extensions/src/*/**"],
+      "rules": {
+        "no-restricted-imports": [
+          "error",
+          {
+            "paths": [
+              {
+                "name": "solid-js",
+                "importNames": ["createEffect", "createRenderEffect", "createComputed"],
+                "message": "Extension code runs side effects through the SDK: createKeyed(source, fn, { otherwise }) per provider generation or value, createMemo or a plain function for derived values, createLatest for async data, createVisitState for per-visit state, and the handler for logic a user action causes. An escape hatch needs an oxlint-disable comment with a reason."
+              }
+            ],
+            "patterns": [
+              {
+                "regex": "^@opencode/(app|desktop)(/|$)",
+                "message": "GUI extensions never import the app or desktop packages. Use the SDK."
+              },
+              {
+                "regex": "^@/",
+                "message": "GUI extensions never import app internals. Use the SDK."
+              },
+              {
+                "group": ["../*/*", "!../*/contract", "!../sdk/*"],
+                "message": "Import another extension only through its contract.ts."
+              },
+              {
+                "regex": "\\.css$",
+                "message": "Import CSS with ?inline and contribute it with ctx.add(Style, css)."
+              }
+            ]
+          }
+        ]
+      }
+    },
+    {
+      "files": ["packages/gui-extensions/src/sdk/**"],
      "rules": {
        "no-restricted-imports": [
          "error",
@@ -33,7 +33,7 @@
    },
    "packages/ai": {
      "name": "@opencode/ai",
-      "version": "2.0.21",
+      "version": "2.0.22",
      "dependencies": {
        "@aws-sdk/credential-providers": "3.1057.0",
        "@opencode/schema": "workspace:*",
@@ -55,7 +55,7 @@
    },
    "packages/app": {
      "name": "@opencode/app",
-      "version": "2.0.21",
+      "version": "2.0.22",
      "dependencies": {
        "@corvu/drawer": "catalog:",
        "@dnd-kit/abstract": "0.5.0",
@@ -112,17 +112,17 @@
    },
    "packages/cli": {
      "name": "@opencode/cli",
-      "version": "2.0.21",
+      "version": "2.0.22",
      "bin": {
        "opencode": "./bin/opencode.cjs",
        "opencode2": "./bin/opencode2.cjs",
      },
      "dependencies": {
-        "@agentclientprotocol/sdk": "1.2.1",
+        "@agentclientprotocol/sdk": "1.6.0",
        "@clack/core": "1.0.0-alpha.1",
        "@clack/prompts": "1.0.0-alpha.1",
        "@effect/platform-node": "catalog:",
-        "@opencode-ai/pty": "0.1.13",
+        "@opencode-ai/pty": "0.2.0",
        "@opencode/client": "workspace:*",
        "@opencode/plugin": "workspace:*",
        "@opencode/schema": "workspace:*",
@@ -133,6 +133,7 @@
        "@opentui/solid": "catalog:",
        "@parcel/watcher": "2.5.1",
        "@silvia-odwyer/photon-node": "0.3.4",
+        "diff": "catalog:",
        "effect": "catalog:",
        "immer": "11.1.4",
        "jsonc-parser": "3.3.1",
@@ -178,7 +179,7 @@
    },
    "packages/client": {
      "name": "@opencode/client",
-      "version": "2.0.21",
+      "version": "2.0.22",
      "dependencies": {
        "@opencode/protocol": "workspace:*",
        "@opencode/schema": "workspace:*",
@@ -204,7 +205,7 @@
    },
    "packages/codemode": {
      "name": "@opencode/codemode",
-      "version": "2.0.21",
+      "version": "2.0.22",
      "dependencies": {
        "acorn": "8.15.0",
        "effect": "catalog:",
@@ -217,7 +218,7 @@
    },
    "packages/console/app": {
      "name": "@opencode/console-app",
-      "version": "2.0.21",
+      "version": "2.0.22",
      "dependencies": {
        "@cloudflare/vite-plugin": "1.15.2",
        "@ibm/plex": "6.4.1",
@@ -253,7 +254,7 @@
    },
    "packages/console/core": {
      "name": "@opencode/console-core",
-      "version": "2.0.21",
+      "version": "2.0.22",
      "dependencies": {
        "@aws-sdk/client-sts": "3.782.0",
        "@jsx-email/render": "1.1.1",
@@ -280,7 +281,7 @@
    },
    "packages/console/function": {
      "name": "@opencode/console-function",
-      "version": "2.0.21",
+      "version": "2.0.22",
      "dependencies": {
        "@openauthjs/openauth": "0.0.0-20250322224806",
        "@opencode/console-core": "workspace:*",
@@ -297,7 +298,7 @@
    },
    "packages/console/mail": {
      "name": "@opencode/console-mail",
-      "version": "2.0.21",
+      "version": "2.0.22",
      "dependencies": {
        "@jsx-email/all": "2.2.3",
        "@jsx-email/cli": "1.4.3",
@@ -321,7 +322,7 @@
    },
    "packages/console/support": {
      "name": "@opencode/console-support",
-      "version": "2.0.21",
+      "version": "2.0.22",
      "dependencies": {
        "@cloudflare/vite-plugin": "1.15.2",
        "@opencode/console-core": "workspace:*",
@@ -341,7 +342,7 @@
    },
    "packages/core": {
      "name": "@opencode/core",
-      "version": "2.0.21",
+      "version": "2.0.22",
      "dependencies": {
        "@ai-sdk/cohere": "3.0.27",
        "@ai-sdk/gateway": "3.0.104",
@@ -354,7 +355,7 @@
        "@lydell/node-pty": "catalog:",
        "@modelcontextprotocol/client": "2.0.0",
        "@modelcontextprotocol/core": "2.0.0",
-        "@opencode-ai/pty": "0.1.13",
+        "@opencode-ai/pty": "0.2.0",
        "@opencode/ai": "workspace:*",
        "@opencode/codemode": "workspace:*",
        "@opencode/plugin": "workspace:*",
@@ -364,7 +365,7 @@
        "@parcel/watcher": "2.5.1",
        "@silvia-odwyer/photon-node": "0.3.4",
        "@standard-schema/spec": "catalog:",
-        "bun-pty": "0.4.8",
+        "bun-pty": "0.4.9",
        "diff": "catalog:",
        "drizzle-orm": "catalog:",
        "effect": "catalog:",
@@ -410,7 +411,7 @@
    },
    "packages/desktop": {
      "name": "@opencode/desktop",
-      "version": "2.0.21",
+      "version": "2.0.22",
      "dependencies": {
        "@zip.js/zip.js": "2.7.62",
        "electron-context-menu": "5.0.0",
@@ -455,7 +456,7 @@
    },
    "packages/enterprise": {
      "name": "@opencode/enterprise",
-      "version": "2.0.21",
+      "version": "2.0.22",
      "dependencies": {
        "@hono/standard-validator": "catalog:",
        "@opencode-ai/sdk": "1.18.21",
@@ -492,7 +493,7 @@
    },
    "packages/function": {
      "name": "@opencode/function",
-      "version": "2.0.21",
+      "version": "2.0.22",
      "dependencies": {
        "@octokit/auth-app": "8.0.1",
        "@octokit/rest": "catalog:",
@@ -508,7 +509,7 @@
    },
    "packages/gui-extensions": {
      "name": "@opencode/gui-extensions",
-      "version": "2.0.20",
+      "version": "2.0.22",
      "dependencies": {
        "@dnd-kit/abstract": "0.5.0",
        "@dnd-kit/dom": "0.5.0",
@@ -553,7 +554,7 @@
    },
    "packages/http-recorder": {
      "name": "@opencode/http-recorder",
-      "version": "2.0.21",
+      "version": "2.0.22",
      "dependencies": {
        "@effect/platform-node-shared": "4.0.0-rc.112",
      },
@@ -572,7 +573,7 @@
    },
    "packages/httpapi-codegen": {
      "name": "@opencode/httpapi-codegen",
-      "version": "2.0.21",
+      "version": "2.0.22",
      "dependencies": {
        "effect": "catalog:",
        "prettier": "3.6.2",
@@ -585,7 +586,7 @@
    },
    "packages/latex": {
      "name": "@opencode/latex",
-      "version": "2.0.21",
+      "version": "2.0.22",
      "dependencies": {
        "@opencode/plugin": "workspace:*",
        "@opentui/core": "catalog:",
@@ -599,7 +600,7 @@
    },
    "packages/merman": {
      "name": "@opencode/merman",
-      "version": "2.0.21",
+      "version": "2.0.22",
      "dependencies": {
        "@opencode/plugin": "workspace:*",
        "@opentui/core": "catalog:",
@@ -614,7 +615,7 @@
    },
    "packages/plugin": {
      "name": "@opencode/plugin",
-      "version": "2.0.21",
+      "version": "2.0.22",
      "dependencies": {
        "@ai-sdk/provider": "3.0.8",
        "@opencode/ai": "workspace:*",
@@ -653,7 +654,7 @@
    },
    "packages/plugin-browser": {
      "name": "@opencode/plugin-browser",
-      "version": "2.0.21",
+      "version": "2.0.22",
      "dependencies": {
        "@opencode/plugin": "workspace:*",
        "@opencode/schema": "workspace:*",
@@ -683,7 +684,7 @@
    },
    "packages/protocol": {
      "name": "@opencode/protocol",
-      "version": "2.0.21",
+      "version": "2.0.22",
      "dependencies": {
        "@opencode/schema": "workspace:*",
        "effect": "catalog:",
@@ -698,7 +699,7 @@
    },
    "packages/schema": {
      "name": "@opencode/schema",
-      "version": "2.0.21",
+      "version": "2.0.22",
      "dependencies": {
        "@standard-schema/spec": "catalog:",
        "effect": "catalog:",
@@ -722,7 +723,7 @@
    },
    "packages/sdk": {
      "name": "@opencode/sdk",
-      "version": "2.0.21",
+      "version": "2.0.22",
      "dependencies": {
        "@opencode/client": "workspace:*",
        "@opencode/core": "workspace:*",
@@ -743,7 +744,7 @@
    },
    "packages/server": {
      "name": "@opencode/server",
-      "version": "2.0.21",
+      "version": "2.0.22",
      "dependencies": {
        "@effect/platform-node": "catalog:",
        "@effect/platform-node-shared": "catalog:",
@@ -765,7 +766,7 @@
    },
    "packages/session-ui": {
      "name": "@opencode/session-ui",
-      "version": "2.0.21",
+      "version": "2.0.22",
      "dependencies": {
        "@kobalte/core": "catalog:",
        "@opencode/client": "workspace:*",
@@ -800,7 +801,7 @@
    },
    "packages/simulation": {
      "name": "@opencode/simulation",
-      "version": "2.0.21",
+      "version": "2.0.22",
      "dependencies": {
        "@opencode/ai": "workspace:*",
        "@opencode/core": "workspace:*",
@@ -820,7 +821,7 @@
    },
    "packages/stats/app": {
      "name": "@opencode/stats-app",
-      "version": "2.0.21",
+      "version": "2.0.22",
      "dependencies": {
        "@ibm/plex": "6.4.1",
        "@kobalte/core": "catalog:",
@@ -854,7 +855,7 @@
    },
    "packages/stats/core": {
      "name": "@opencode/stats-core",
-      "version": "2.0.21",
+      "version": "2.0.22",
      "dependencies": {
        "@aws-sdk/client-athena": "3.933.0",
        "@planetscale/database": "1.19.0",
@@ -873,7 +874,7 @@
    },
    "packages/stats/server": {
      "name": "@opencode/stats-server",
-      "version": "2.0.21",
+      "version": "2.0.22",
      "dependencies": {
        "@aws-sdk/client-firehose": "3.933.0",
        "@effect/platform-node": "catalog:",
@@ -919,7 +920,7 @@
    },
    "packages/theme": {
      "name": "@opencode/theme",
-      "version": "2.0.21",
+      "version": "2.0.22",
      "dependencies": {
        "@opentui/core": "catalog:",
        "effect": "catalog:",
@@ -933,7 +934,7 @@
    },
    "packages/tui": {
      "name": "@opencode/tui",
-      "version": "2.0.21",
+      "version": "2.0.22",
      "dependencies": {
        "@opencode/client": "workspace:*",
        "@opencode/core": "workspace:*",
@@ -967,7 +968,7 @@
    },
    "packages/ui": {
      "name": "@opencode/ui",
-      "version": "2.0.21",
+      "version": "2.0.22",
      "dependencies": {
        "@kobalte/core": "catalog:",
        "@pierre/diffs": "catalog:",
@@ -1002,7 +1003,7 @@
    },
    "packages/util": {
      "name": "@opencode/util",
-      "version": "2.0.21",
+      "version": "2.0.22",
      "dependencies": {
        "@effect/opentelemetry": "catalog:",
        "@effect/platform-node": "catalog:",
@@ -1040,7 +1041,7 @@
    },
    "packages/web": {
      "name": "@opencode/web",
-      "version": "2.0.21",
+      "version": "2.0.22",
      "dependencies": {
        "@astrojs/cloudflare": "12.6.3",
        "@astrojs/markdown-remark": "6.3.1",
@@ -1081,7 +1082,7 @@
    },
    "services/update": {
      "name": "@opencode/update",
-      "version": "2.0.21",
+      "version": "2.0.22",
      "dependencies": {
        "jose": "6.0.11",
        "semver": "catalog:",
@@ -1230,7 +1231,7 @@

    "@adobe/css-tools": ["@adobe/css-tools@4.5.0", "", {}, "sha512-6OzddxPio9UiWTCemp4N8cYLV2ZN1ncRnV1cVGtve7dhPOtRkleRyx32GQCYSwDYgaHU3USMm84tNsvKzRCa1Q=="],

-    "@agentclientprotocol/sdk": ["@agentclientprotocol/sdk@1.2.1", "", { "peerDependencies": { "zod": "^3.25.0 || ^4.0.0" } }, "sha512-jwYUdOQR7tc+Zfch53VL4JJyUNK/46q03uUTYb+PjECsmnNl94XFXOfYLJ8RBpMNidXd1rpOAVgb0vqD98xImA=="],
+    "@agentclientprotocol/sdk": ["@agentclientprotocol/sdk@1.6.0", "", { "peerDependencies": { "zod": "^3.25.0 || ^4.0.0" } }, "sha512-XxXrmX7aZkDgOB0Rg9cu+ZFyiUUc5lF2n9seO3Gc4OR+MTdfZOwIqF6m3LvsmmM8K3qgPmXkDH8/IFM2u9vdcQ=="],

    "@ai-sdk/cohere": ["@ai-sdk/cohere@3.0.27", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.21" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-OqcCq2PiFY1dbK/0Ck45KuvE8jfdxRuuAE9Y5w46dAk6U+9vPOeg1CDcmR+ncqmrYrhRl3nmyDttyDahyjCzAw=="],

@@ -2166,19 +2167,19 @@

    "@opencode-ai/protocol": ["@opencode-ai/protocol@0.0.0-beta-18050", "", { "dependencies": { "@opencode-ai/schema": "0.0.0-beta-18050", "effect": "4.0.0-rc.111" } }, "sha512-HDQMnvGp8IU0MdBRbEuydX1WQm09BZ4HJm9iSMQwzweJuQ2HNscgzHJPIH6P02BsbbtfJ8J7sZGPItrz1tWSgw=="],

-    "@opencode-ai/pty": ["@opencode-ai/pty@0.1.13", "", { "optionalDependencies": { "@opencode-ai/pty-darwin-arm64": "0.1.13", "@opencode-ai/pty-darwin-x64": "0.1.13", "@opencode-ai/pty-linux-arm64-gnu": "0.1.13", "@opencode-ai/pty-linux-arm64-musl": "0.1.13", "@opencode-ai/pty-linux-x64-gnu": "0.1.13", "@opencode-ai/pty-linux-x64-musl": "0.1.13" }, "bin": { "opencode-pty": "bin/opencode-pty.js" } }, "sha512-WPCN8h8HaZhhUcrMG0zu+4D9vco0EZiEg/gCF1K3JPRN6UsHMiXq1HVIy5IlyfcoyjfViRmQmXYE4AuU3laBjA=="],
+    "@opencode-ai/pty": ["@opencode-ai/pty@0.2.0", "", { "optionalDependencies": { "@opencode-ai/pty-darwin-arm64": "0.2.0", "@opencode-ai/pty-darwin-x64": "0.2.0", "@opencode-ai/pty-linux-arm64-gnu": "0.2.0", "@opencode-ai/pty-linux-arm64-musl": "0.2.0", "@opencode-ai/pty-linux-x64-gnu": "0.2.0", "@opencode-ai/pty-linux-x64-musl": "0.2.0" }, "bin": { "opencode-pty": "bin/opencode-pty.js" } }, "sha512-pV86urAwinpwFXX8AJlOf8S9CVJhGsV+11I/J6TcxMW0c7u6LgeODzdj/BVBC6jUhsG2aKDxg8rACMcDCy3HiA=="],

-    "@opencode-ai/pty-darwin-arm64": ["@opencode-ai/pty-darwin-arm64@0.1.13", "", { "os": "darwin", "cpu": "arm64" }, "sha512-fVtQZqVLBuJx/aB+5ojfmQifS1KMc9gxlxpFQ6bxEFU8tn8xHQTiFPaNroZgOtaw7I4ceGyx/eXieK1wp68yAA=="],
+    "@opencode-ai/pty-darwin-arm64": ["@opencode-ai/pty-darwin-arm64@0.2.0", "", { "os": "darwin", "cpu": "arm64" }, "sha512-2y6xrktb2J7rRk+mzAJHA8cCbWhC4Lo2zJ66t9ad59qFhL5nzAPfpEOwnyvvFqhxebHNvL08Mp64M9IHnM0aiA=="],

-    "@opencode-ai/pty-darwin-x64": ["@opencode-ai/pty-darwin-x64@0.1.13", "", { "os": "darwin", "cpu": "x64" }, "sha512-b/tAEm0hCMXraPM9cxR8Rg7X1UBZInRTaxWAS4Ht9eH1nWj1rANOLvHWiWX/vVh5TB0Ubg8bWPu4B0nZkEHROQ=="],
+    "@opencode-ai/pty-darwin-x64": ["@opencode-ai/pty-darwin-x64@0.2.0", "", { "os": "darwin", "cpu": "x64" }, "sha512-XVQwK9+KgVGYunCYPCCBf1Or0z6zSkzjgfdJd7dEe/LOFg5vmMkOfSB9dCXnoRCWGviWYk7xd07iFIFOgyj5Ig=="],

-    "@opencode-ai/pty-linux-arm64-gnu": ["@opencode-ai/pty-linux-arm64-gnu@0.1.13", "", { "os": "linux", "cpu": "arm64" }, "sha512-I124aSYBBjpGZnYExHfIajkvVK1FiK+//OJBGdqqFp5pas2Oruq4O8tv+pMoxomZIYh2ce/QhOOYLHRwXsthTg=="],
+    "@opencode-ai/pty-linux-arm64-gnu": ["@opencode-ai/pty-linux-arm64-gnu@0.2.0", "", { "os": "linux", "cpu": "arm64" }, "sha512-TPVGCQk5E65IY3ipcpd17rwKehdvXcXEYRhhGzok/6Dske69ei2S+ERz7NXZ8cKFAvbiiT771HHM+XyVYAl+7A=="],

-    "@opencode-ai/pty-linux-arm64-musl": ["@opencode-ai/pty-linux-arm64-musl@0.1.13", "", { "os": "linux", "cpu": "arm64" }, "sha512-feWsfKpaDytGJzutoK43GqQwVghG2vHZt6BE/ydPZNuqIrySQ/6JfliUAMwn5BWs/Ky7ouSwKHCyAVeukusSvg=="],
+    "@opencode-ai/pty-linux-arm64-musl": ["@opencode-ai/pty-linux-arm64-musl@0.2.0", "", { "os": "linux", "cpu": "arm64" }, "sha512-iH6/liY7xN1OXVD9eGzdH11BVGvnpPsH5Z1Unz0Pn9EzkPFf28oDNKNyeXV0xIAP53oiYp8gpRq2PADNwbVsTg=="],

-    "@opencode-ai/pty-linux-x64-gnu": ["@opencode-ai/pty-linux-x64-gnu@0.1.13", "", { "os": "linux", "cpu": "x64" }, "sha512-jliNgsevGuxfIeX7eyzjHhrJkF8uEUPnDLbF2v16uv69FhEHrraf7jyWkxazMP6rNvn2CGtwMMc4BXPS5pzjhg=="],
+    "@opencode-ai/pty-linux-x64-gnu": ["@opencode-ai/pty-linux-x64-gnu@0.2.0", "", { "os": "linux", "cpu": "x64" }, "sha512-GhdrmbUzxGHRfWvt1qutgVD4HLb7aSBsgWGjFsc6k8HjO5ZbdaC3ScRyd512YAAG5KAROLKZ6+0SEBsm5xFYlA=="],

-    "@opencode-ai/pty-linux-x64-musl": ["@opencode-ai/pty-linux-x64-musl@0.1.13", "", { "os": "linux", "cpu": "x64" }, "sha512-rXDpidW66gz2b2M/NbUN8ZKmAxaJcASnuHATeXevlrFdiPUv8uJwvkRd6Pla1fp01Q65MkBmgRa7Q9c+H1PlzA=="],
+    "@opencode-ai/pty-linux-x64-musl": ["@opencode-ai/pty-linux-x64-musl@0.2.0", "", { "os": "linux", "cpu": "x64" }, "sha512-EbHchDsMmL5aOReIoo8NvQkKnyhyKmoL2RleF2JYF76va3FKuksmwsOBgQJh54i+QA4Fd0+9x54Q+2fJOzPiRQ=="],

    "@opencode-ai/schema": ["@opencode-ai/schema@0.0.0-beta-18050", "", { "dependencies": { "@standard-schema/spec": "1.1.0", "effect": "4.0.0-rc.111" } }, "sha512-/D6VXaWlytTXR3IOiMLIKuPcfp7FQNUzRPm9z3K7UBFd1Bw4q/WZksaf5RVcBGz+0YRxYMc1V4D7MFlceSgtyg=="],

@@ -3548,7 +3549,7 @@

    "bun-ffi-structs": ["bun-ffi-structs@0.3.1", "", { "peerDependencies": { "typescript": "^5" } }, "sha512-3gM7PpVWLyrwxWjcilSiGuhWanhZivvo6l0u573NziPH6f/gwk6McbaYgn7oJWov6pKGRTDbrg94W5DcJsKTtQ=="],

-    "bun-pty": ["bun-pty@0.4.8", "", {}, "sha512-rO70Mrbr13+jxHHHu2YBkk2pNqrJE5cJn29WE++PUr+GFA0hq/VgtQPZANJ8dJo6d7XImvBk37Innt8GM7O28w=="],
+    "bun-pty": ["bun-pty@0.4.9", "", {}, "sha512-IUF/B3FANo8vIQ775Zt7Er7lphMpYMhLkes45am2WE8FaVI7KRYtj1rQwliZ18b6GpNzBNWcl7sz9QT5wDFBeQ=="],

    "bun-types": ["bun-types@1.4.2", "", { "dependencies": { "@types/node": "*" } }, "sha512-bxV1FgK7yBIzjRe5zBozIM4Bem11ZJcCXSrjWRG3YWLt8yFDePu4cLjpebO8OvPeIE9trbyPF4fuj3Cia4Fj3w=="],

@@ -13,7 +13,12 @@
  opencode,
 }:
 let
-  electron = callPackage ./electron.nix { };
+  electronPin =
+    (lib.pipe ../packages/desktop/package.json [
+      builtins.readFile
+      builtins.fromJSON
+    ]).devDependencies.electron;
+  electron = callPackage ./electron.nix { inherit electronPin; };
 in
 stdenv.mkDerivation (finalAttrs: {
  pname = "opencode-desktop";
@@ -35,6 +40,8 @@ stdenv.mkDerivation (finalAttrs: {
    copyDesktopItems
  ]
  ++ lib.optionals stdenv.hostPlatform.isDarwin [
+    darwin.cctools
+    darwin.sigtool
    # Ad-hoc sign the .app: --config.mac.identity=null below skips signing.
    darwin.autoSignDarwinBinariesHook
  ];
@@ -66,7 +73,7 @@ stdenv.mkDerivation (finalAttrs: {
    ''
    # https://github.com/electron/electron/issues/31121
    # mac builds use a .app bundle which doesnt have this issue
-    + lib.optionalString stdenv.isLinux ''
+    + lib.optionalString stdenv.hostPlatform.isLinux ''
      substituteInPlace \
        packages/desktop/src/main/windows/appearance.ts \
        packages/desktop/src/main/service/desktop-cli.ts \
@@ -74,6 +81,7 @@ stdenv.mkDerivation (finalAttrs: {
    '';

  preBuild = ''
+    echo "electron ${electron.version} from nixpkgs ${lib.version}, package.json pins ${electronPin}"
    cp -r "${electron.dist}" $HOME/.electron-dist
    chmod -R u+w $HOME/.electron-dist

@@ -89,8 +97,15 @@ stdenv.mkDerivation (finalAttrs: {

    export OPENCODE_CLI_DIST="$TMPDIR/desktop-cli"
    cli_package=$(bun -e 'import { getCurrentCli } from "./scripts/utils.ts"; console.log(getCurrentCli().package.replace("@opencode/", ""))')
+    # copyBuiltCliToResources joins this dist with the npm package name getCurrentCli()
+    # reports, not the Nix build's name. It reads only .version from the manifest and
+    # writes it as opencode-cli.version beside the binary.
    mkdir -p "$OPENCODE_CLI_DIST/$cli_package/bin"
    cp ${lib.getExe opencode} "$OPENCODE_CLI_DIST/$cli_package/bin/opencode"
+    # OPENCODE_VERSION is what the bundled CLI prints for --version, so the manifest
+    # and the executable cannot drift.
+    bun -e 'await Bun.write(process.argv[1], JSON.stringify({ version: process.env.OPENCODE_VERSION }) + "\n")' \
+      "$OPENCODE_CLI_DIST/$cli_package/package.json"

    bun run build
    npx electron-builder --dir \
@@ -138,6 +153,13 @@ stdenv.mkDerivation (finalAttrs: {
    "libc.musl-x86_64.so.1"
  ];

+  passthru = {
+    # electronVersion is what ships; electronPin is what packages/desktop/package.json
+    # asks for. They differ whenever nixpkgs carries no release of the pinned minor.
+    electronVersion = electron.version;
+    inherit electronPin;
+  };
+
  meta = {
    description = "OpenCode Desktop App";
    mainProgram = "opencode-desktop";
@@ -1,12 +1,10 @@
-{ callPackage, path }:
+{ lib, pkgs, electronPin }:
 let
-  version = (builtins.fromJSON (builtins.readFile ../packages/desktop/package.json)).devDependencies.electron;
+  # Nixpkgs owns the release hashes, so bumping the pin no longer means editing this repo. Only the
+  # major is delegated, so what gets built trails the pin whenever nixpkgs has not shipped it yet.
+  # That is safe: the bundle ships one native addon, node-pty's Node-API prebuild, and
+  # only the win32 WSL runtime loads it, so nothing in the main process binds the
+  # Electron ABI.
+  major = lib.versions.major electronPin;
 in
-(callPackage (path + "/pkgs/development/tools/electron/binary/generic.nix") { }) version {
-  # Electron 42.10.1 SHASUMS256.txt; update with the desktop package version.
-  aarch64-linux = "20e68d6c4e47f3ebf59de7c6b1f8b8bec6a6ebda6a451132f9b465f3f13ce467";
-  x86_64-linux = "2452b27112d92387471fa2488aafac85d79ea3f2ee1216c0abd5150d6c12362b";
-  aarch64-darwin = "ac7194a3dfd81930ba35355c01620262c1254752859b42dcb8f4b9e4d174a871";
-  # fetchzip hashes the unpacked headers, not the release tarball.
-  headers = "sha256-4eUy3BZVvxTl7KUOsxio7769lL6ag/ecbeK+qLURWMI=";
-}
+pkgs."electron_${major}-bin" or (throw "nixpkgs ${lib.version} carries no prebuilt electron ${major}: run `nix flake update nixpkgs`, or pin a major nixpkgs still carries")
@@ -1,7 +1,7 @@
 {
  "nodeModules": {
-    "x86_64-linux": "sha256-yCdtDQsXERjfL9bJg7YXNloMBOPwFkPMFVNAzXlarBM=",
-    "aarch64-linux": "sha256-iQ1bLIszETcFoD4CENpoaDZJZF/KBKZFeTp9r7ogJ9Y=",
-    "aarch64-darwin": "sha256-G7oIrTXEFQ5iEF8KSpA4xJPw9xwqRDpbIR472iIoqC4="
+    "x86_64-linux": "sha256-2RlbJRTEKSliuUbAE2lAktX63JFR/RKAuLkcCou8wb4=",
+    "aarch64-linux": "sha256-P7DAE018lTJNGmttg87U9oaTAuw/wHlnMStdnXYKCr0=",
+    "aarch64-darwin": "sha256-N+NfV1ObOTnW+ez7As+CS+6ci/iRGCQ6cslvyQFCp6E="
  }
 }
@@ -12,7 +12,7 @@
  installShellFiles,
  versionCheckHook,
  writableTmpDirAsHomeHook,
-  node_modules ? callPackage ./node-modules.nix { },
+  node_modules ? callPackage ./node_modules.nix { },
 }:
 stdenvNoCC.mkDerivation (finalAttrs: {
  pname = "opencode";
@@ -85,14 +85,30 @@ stdenvNoCC.mkDerivation (finalAttrs: {
  '';

  postInstall = lib.optionalString (stdenvNoCC.buildPlatform.canExecute stdenvNoCC.hostPlatform) ''
-    # trick yargs into also generating zsh completions
+    # v2 dropped the `completion` subcommand; --completions is the global flag.
+    # --completions also accepts sh, which emits the same script as bash.
+    # staged to files, substitute below rejects anything that is not a regular file
+    $out/bin/opencode --completions bash > opencode.bash
+    $out/bin/opencode --completions zsh > _opencode
+    $out/bin/opencode --completions fish > opencode.fish
+
    installShellCompletion --cmd opencode \
-      --bash <($out/bin/opencode completion) \
-      --zsh <(SHELL=/bin/zsh $out/bin/opencode completion)
+      --bash opencode.bash \
+      --fish opencode.fish \
+      --zsh _opencode
+
+    # OPENCODE_CLI_NAME is a build-time define, so the opencode2 copies are
+    # renamed rather than regenerated. --replace-fail is a global literal
+    # substitution, so any lowercase opencode that later appears in a
+    # description or help text ships as opencode2 in the opencode2 copy.
+    substitute opencode.bash opencode2.bash --replace-fail opencode opencode2
+    substitute _opencode _opencode2 --replace-fail opencode opencode2
+    substitute opencode.fish opencode2.fish --replace-fail opencode opencode2

    installShellCompletion --cmd opencode2 \
-      --bash <($out/bin/opencode2 completion) \
-      --zsh <(SHELL=/bin/zsh $out/bin/opencode2 completion)
+      --bash opencode2.bash \
+      --fish opencode2.fish \
+      --zsh _opencode2
  '';

  nativeInstallCheckInputs = [
@@ -2,7 +2,7 @@
  "$schema": "https://json.schemastore.org/package.json",
  "name": "opencode",
  "description": "AI-powered development tool",
-  "version": "2.0.21",
+  "version": "2.0.22",
  "private": true,
  "type": "module",
  "packageManager": "bun@1.4.2",
@@ -18,7 +18,8 @@
    "dev:www": "bun run --cwd services/www dev",
    "dev:storybook": "bun --cwd packages/storybook storybook",
    "bench:devex": "bun run --cwd packages/app test:bench:devex",
-    "lint": "oxlint && ast-grep scan -c script/ast-grep/gui-extensions/sgconfig.yml",
+    "lint": "oxlint && ast-grep scan -c script/ast-grep/gui-extensions/sgconfig.yml && bun script/sdk-docs.ts",
+    "lint:changed": "bun script/lint-changed.ts",
    "lint:effect-patterns": "ast-grep scan -c script/ast-grep/sgconfig.yml packages/util/src packages/core/src packages/server/src packages/protocol/src packages/cli/src",
    "lint:effect-simplifications": "ast-grep scan -c script/ast-grep/effect-simplifications/sgconfig.yml --off=unused-suppression packages",
    "test:lint-rules": "ast-grep test -c script/ast-grep/sgconfig.yml",
@@ -27,6 +27,31 @@ Run `LLM.stream(...)` instead of `generate` when you want incremental `LLMEvent`
 `LLM.request(...)`. The event stream is provider-neutral — same shape across OpenAI Chat, OpenAI Responses,
 Anthropic Messages, Gemini, Bedrock Converse, and any OpenAI-compatible deployment.

+### Google Interactions
+
+`Google.configure({ apiKey }).interactions(modelID)` selects the Interactions API; `.model(modelID)` still selects
+GenerateContent. The package entrypoint is `@opencode/ai/providers/google/interactions`.
+
+```ts
+const model = Google.configure({ apiKey }).interactions("gemini-3.8-flash")
+const response = yield* LLM.generate({
+  model,
+  prompt: "Say hello.",
+  providerOptions: { thinkingLevel: "low", thinkingSummaries: "auto", store: true },
+})
+```
+
+Interactions supports text output, streamed function calls, native tool results, thought signatures, and multimodal
+input. Full-history replay is the default (`store: false`); implicit caching works without retained interactions.
+For server-side continuation, set `store: true` on the predecessor, read `interactionId` from the final event's
+`providerMetadata.google`, and pass `previousInteractionId` on the next request with **only new messages**. Repeat
+the system instructions and tool declarations on each request. Set `store: true` on each response you intend to
+continue from. The package does not automatically select or persist continuation IDs.
+
+Raw usage is preserved in `usage.providerMetadata.google`. `inputTokens` follows Google's top-level accounting;
+`contextTokens` uses its full `raw_prompt_token` count when supplied. These can differ substantially with server-side
+continuation. Explicit caches, hosted tools, and generated media are not supported by this initial protocol.
+
 The same configured facade names image, video, speech, and transcription models. `Image.generate` resolves the
 provider's image route from the model and returns `Media.Asset`s with lazily decoded bytes:

@@ -1223,7 +1248,7 @@ const gateway = CloudflareAIGateway.configure({
 }).model("workers-ai/@cf/meta/llama-3.1-8b-instruct")
 ```

-Included LLM providers: OpenAI, Anthropic, Google (Gemini), Google Vertex, Amazon Bedrock, Azure OpenAI, Baseten, Cerebras, Cloudflare AI Gateway, Cloudflare Workers AI, DeepInfra, DeepSeek, Fireworks, Groq, Mistral, OpenRouter, TogetherAI, and xAI. Z.ai currently exposes image generation. Generic Chat Completions, Responses, and Anthropic Messages-compatible entrypoints support custom endpoints.
+Included LLM providers: OpenAI, Anthropic, Google (Gemini), Google Vertex, Amazon Bedrock, Azure OpenAI, Baseten, Cerebras, Cohere, Cloudflare AI Gateway, Cloudflare Workers AI, DeepInfra, DeepSeek, Fireworks, Groq, Mistral, OpenRouter, TogetherAI, and xAI. Z.ai currently exposes image generation. Generic Chat Completions, Responses, and Anthropic Messages-compatible entrypoints support custom endpoints.

 Each named provider owns its module, endpoint, authentication, and route setup. Providers with the same wire format compose the shared protocol directly:

@@ -1,6 +1,6 @@
 {
  "$schema": "https://json.schemastore.org/package.json",
-  "version": "2.0.21",
+  "version": "2.0.22",
  "name": "@opencode/ai",
  "type": "module",
  "license": "MIT",
@@ -38,6 +38,7 @@ const resolve = (policy: CachePolicy | undefined): CachePolicyObject => {
 // prefix caching, Gemini's implicit + out-of-band CachedContent). Skip the
 // whole policy pass for these — emitting hints would be harmless but pointless.
 const RESPECTS_INLINE_HINTS = new Set([
+  "alibaba-chat",
  "alibaba-messages",
  "anthropic-messages",
  "anthropic-compatible-messages",
@@ -49,16 +50,18 @@ const RESPECTS_INLINE_HINTS = new Set([
  "zai-coding-messages",
  "bedrock-converse",
  "openrouter",
+  "digitalocean",
 ])

 // OpenRouter upstreams other than Anthropic and Alibaba Qwen cache without breakpoints. Gemini uses only the last
 // breakpoint, so a conversation-tail breakpoint writes a new cache every step and costs more than none. Qwen ignores
 // breakpoints on tool definitions and caches tools with the system prompt.
+const QWEN: CachePolicyObject = { system: true, messages: { tail: 1 } }
 const openRouterPolicy = (modelID: string): CachePolicyObject => {
  // `~anthropic/claude-sonnet-latest` style IDs are OpenRouter aliases for the latest model in a family.
  const id = modelID.replace(/^~/, "")
  if (id.startsWith("anthropic/")) return AUTO
-  if (id.startsWith("qwen/")) return { system: true, messages: { tail: 1 } }
+  if (id.startsWith("qwen/")) return QWEN
  return NONE
 }

@@ -170,7 +173,11 @@ export const applyCachePolicy = (request: LLMRequest): LLMRequest => {
  const policy =
    request.model.route.id === "openrouter" && (request.cache === undefined || request.cache === "auto")
      ? openRouterPolicy(request.model.id)
-      : resolve(request.cache)
+      : request.model.route.id === "alibaba-chat" && (request.cache === undefined || request.cache === "auto")
+        ? request.model.id.toLowerCase().startsWith("qwen")
+          ? QWEN
+          : NONE
+        : resolve(request.cache)
  if (!policy.tools && !policy.system && !policy.messages) return request

  const hint = makeHint(policy.ttlSeconds)
@@ -3,6 +3,7 @@ import { Protocol } from "../route/protocol.js"
 import type { LanguageModelCompatibility } from "../schema/index.js"
 import { OpenAIChat } from "./openai-chat.js"
 import { JsonObject, ProviderShared } from "./shared.js"
+import { cacheControl } from "./utils/cache.js"
 import { OpenResponsesOptions } from "./utils/open-responses-options.js"

 export type ReasoningEffort = OpenResponsesOptions.ReasoningEffort
@@ -68,7 +69,7 @@ export const protocol = Protocol.make({
    from: Effect.fn("AlibabaChat.fromRequest")(function* (req) {
      const opts = yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(Options))(req.providerOptions ?? {})
      return {
-        ...(yield* OpenAIChat.protocol.body.from(req)),
+        ...(yield* OpenAIChat.fromRequest(req, { cacheControl: cacheControl() })),
        enable_thinking: opts.enableThinking,
        // Alibaba also rejects an explicit budget that is not below `max_completion_tokens`.
        thinking_budget:
@@ -1,7 +1,7 @@
 import { Effect, Schema } from "effect"
 import { Protocol } from "../route/protocol.js"
 import { OpenResponses } from "./open-responses.js"
-import { JsonObject, optionalArray, ProviderShared } from "./shared.js"
+import { JsonObject, ProviderShared } from "./shared.js"
 import { OpenResponsesOptions } from "./utils/open-responses-options.js"
 import { ResponsesHostedTools } from "./utils/responses-hosted-tools.js"

@@ -25,8 +25,6 @@ const WebExtractorItem = Schema.StructWithRest(
 )
 const Body = Schema.Struct({
  ...OpenResponses.coreFields,
-  input: Schema.Array(Schema.Union([OpenResponses.InputItem, WebExtractorItem])),
-  tools: optionalArray(Schema.Union([OpenResponses.Tool, NativeTool])),
  enable_thinking: Options.fields.enableThinking,
  previous_response_id: Options.fields.previousResponseId,
  conversation: Options.fields.conversation,
@@ -52,7 +50,7 @@ export const protocol = Protocol.make({
      const opts = yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(Options))(req.providerOptions ?? {})
      const body = yield* OpenResponses.fromRequestWithAdapter(req, adapter)
      const choice = body.tool_choice
-      return yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(Body))({
+      return {
        ...body,
        enable_thinking: opts.enableThinking,
        previous_response_id: opts.previousResponseId,
@@ -62,7 +60,7 @@ export const protocol = Protocol.make({
          typeof choice === "object" && choice.type === "function"
            ? { type: "allowed_tools" as const, mode: "required" as const, tools: [choice] }
            : choice,
-      })
+      }
    }),
  },
  stream: {
@@ -451,6 +451,9 @@ const AnthropicStreamDelta = Schema.Struct({
  signature: Schema.optional(Schema.String),
  stop_reason: optionalNull(Schema.String),
  stop_sequence: optionalNull(Schema.String),
+  stop_details: optionalNull(
+    Schema.Struct({ category: optionalNull(Schema.String), explanation: optionalNull(Schema.String) }),
+  ),
 })
 type AnthropicStreamDelta = Schema.Schema.Type<typeof AnthropicStreamDelta>
 const decodeAnthropicStreamDelta = Schema.decodeUnknownOption(AnthropicStreamDelta)
@@ -804,15 +807,12 @@ const requireThinkingSignature = (request: LLMRequest) => {
 // Mid-conversation system messages became available with Opus 4.8 and version
 // 5 of the other supported Claude families. Treat later family versions as
 // compatible without assuming that every Anthropic Messages model is Claude.
+// Opus 4.8 and every Claude 5 model accept mid-conversation system messages; later versions inherit support.
 const supportsNativeSystemUpdates = (request: LLMRequest) => {
-  const match = /(?:^|[./])claude-(fable|haiku|mythos|opus|sonnet)-(\d+)(?:[.-](\d+))?/.exec(
-    String(request.model.id).toLowerCase(),
-  )
-  if (!match) return false
-  const major = Number(match[2])
-  if (match[1] !== "opus") return major >= 5
-  if (major !== 4) return major >= 5
-  return match[3] !== undefined && match[3].length <= 2 && Number(match[3]) >= 8
+  const version = claudeVersion(String(request.model.id))
+  if (version === undefined) return false
+  if (version.family === "opus" && version.major === 4) return version.minor >= 8
+  return version.major >= 5
 }

 const endsInServerToolUse = (message: LLMRequest["messages"][number]) => {
@@ -989,13 +989,13 @@ const lowerMessages = Effect.fn("AnthropicMessages.lowerMessages")(function* (
  return messages
 })

+// Per-turn effort started with Claude Opus 5 and every Claude 5.1 model; later versions of any family inherit it.
 const supportsEffortUpdates = (model: LLMRequest["model"]) => {
  const override = model.compatibility?.supportsEffortUpdates
  if (override !== undefined) return override
  const version = claudeVersion(model.id)
  if (version === undefined) return false
-  if (version.family === "opus") return version.major >= 5
-  if (version.family !== "fable" && version.family !== "mythos") return false
+  if (version.family === "opus" && version.major >= 5) return true
  return version.major > 5 || (version.major === 5 && version.minor >= 1)
 }

@@ -1417,10 +1417,14 @@ const onMessageDelta = (
      stopSequence === null || stopSequence === undefined
        ? state.pendingFinish?.providerMetadata
        : providerMetadata(state.providerMetadataKey, { stopSequence })
+    const category = event.delta?.stop_details?.category
+    const explanation = event.delta?.stop_details?.explanation
    return {
      reason: {
        normalized: mapFinishReason(stopReason),
        raw: stopReason,
+        ...(category ? { category } : {}),
+        ...(explanation ? { explanation } : {}),
      },
      providerMetadata: finishMetadata,
    }
@@ -319,6 +319,9 @@ const lowerToolResult = Effect.fn("BedrockConverse.lowerToolResult")(function* (
  } satisfies BedrockToolResultBlock
 })

+// Keep Claude and Nova tool-result images inline; put other models' images beside the result.
+const keepToolImagesInline = (id: string) => id.includes("anthropic.claude-") || id.includes("amazon.nova-")
+
 const lowerMessages = Effect.fn("BedrockConverse.lowerMessages")(function* (
  request: LLMRequest,
  breakpoints: BedrockCache.Breakpoints,
@@ -328,8 +331,19 @@ const lowerMessages = Effect.fn("BedrockConverse.lowerMessages")(function* (
  // Mistral can reject replay IDs even when they satisfy Converse's broader ID syntax.
  const normalizeID = request.model.id.includes("mistral.") ? MistralToolID.normalizer(request) : (id: string) => id
  const providerMetadataKey = request.model.route.providerMetadataKey ?? String(request.model.provider)
+  const hoistImages = !keepToolImagesInline(request.model.id)
+  // Bedrock expects parallel tool results before any images hoisted beside them.
+  const pendingImages: BedrockMedia.ImageBlock[] = []
+  const flushImages = () => {
+    if (pendingImages.length === 0) return
+    const previous = messages.at(-1)
+    if (previous?.role === "user")
+      messages[messages.length - 1] = { role: "user", content: [...previous.content, ...pendingImages] }
+    pendingImages.length = 0
+  }

  for (const message of request.messages) {
+    if (message.role !== "tool") flushImages()
    if (message.role === "system") {
      const part = yield* ProviderShared.wrappedSystemUpdate("Bedrock Converse", message)
      const content = textWithCache(breakpoints, part.text, part.cache)
@@ -403,7 +417,22 @@ const lowerMessages = Effect.fn("BedrockConverse.lowerMessages")(function* (
    for (const part of message.content) {
      if (!ProviderShared.supportsContent(part, ["tool-result"]))
        return yield* ProviderShared.unsupportedContent("Bedrock Converse", "tool", ["tool-result"])
-      content.push(yield* lowerToolResult(part, documentNames, normalizeID))
+      const result = yield* lowerToolResult(part, documentNames, normalizeID)
+      const images: BedrockMedia.ImageBlock[] = hoistImages
+        ? result.toolResult.content.filter((item) => "image" in item)
+        : []
+      const nonImageContent = result.toolResult.content.filter((item) => !("image" in item))
+      content.push(
+        images.length === 0
+          ? result
+          : {
+              toolResult: {
+                ...result.toolResult,
+                content: nonImageContent.length > 0 ? nonImageContent : [{ text: "See attached image." }],
+              },
+            },
+      )
+      pendingImages.push(...images)
      const cachePoint = BedrockCache.block(breakpoints, part.cache)
      if (cachePoint) content.push(cachePoint)
    }
@@ -413,6 +442,7 @@ const lowerMessages = Effect.fn("BedrockConverse.lowerMessages")(function* (
    else messages.push({ role: "user", content })
  }

+  flushImages()
  return messages
 })

@@ -0,0 +1,334 @@
+import { Effect, Schema } from "effect"
+import { Route } from "../route/client.js"
+import { Endpoint } from "../route/endpoint.js"
+import { Framing } from "../route/framing.js"
+import { Protocol } from "../route/protocol.js"
+import { LLMEvent, Usage, type FinishReasonDetails, type LLMRequest } from "../schema/index.js"
+import { ProviderShared } from "./shared.js"
+import { Lifecycle } from "./utils/lifecycle.js"
+import { ToolStream } from "./utils/tool-stream.js"
+
+const ADAPTER = "cohere-chat"
+export const DEFAULT_BASE_URL = "https://api.cohere.com/v2"
+
+const Options = Schema.Struct({
+  thinking: Schema.optional(
+    Schema.Struct({
+      type: Schema.optional(Schema.Literals(["enabled", "disabled"])),
+      tokenBudget: Schema.optional(Schema.Int.check(Schema.isGreaterThan(0))),
+    }),
+  ),
+})
+export type ProviderOptionsInput = Schema.Schema.Type<typeof Options>
+
+const Content = Schema.Union([
+  Schema.Struct({ type: Schema.Literal("text"), text: Schema.String }),
+  Schema.Struct({ type: Schema.Literal("thinking"), thinking: Schema.String }),
+  Schema.Struct({ type: Schema.Literal("image_url"), image_url: Schema.Struct({ url: Schema.String }) }),
+])
+const ToolCall = Schema.Struct({
+  id: Schema.String,
+  type: Schema.Literal("function"),
+  function: Schema.Struct({ name: Schema.String, arguments: Schema.String }),
+})
+const Message = Schema.Struct({
+  role: Schema.Literals(["system", "user", "assistant", "tool"]),
+  content: Schema.optional(Schema.Union([Schema.String, Schema.Array(Content)])),
+  tool_calls: Schema.optional(Schema.Array(ToolCall)),
+  tool_call_id: Schema.optional(Schema.String),
+  tool_plan: Schema.optional(Schema.String),
+})
+const Body = Schema.Struct({
+  model: Schema.String,
+  messages: Schema.Array(Message),
+  stream: Schema.Literal(true),
+  tools: Schema.optional(
+    Schema.Array(
+      Schema.Struct({
+        type: Schema.Literal("function"),
+        function: Schema.Struct({
+          name: Schema.String,
+          description: Schema.optional(Schema.String),
+          parameters: Schema.Unknown,
+        }),
+      }),
+    ),
+  ),
+  tool_choice: Schema.optional(Schema.Literals(["NONE", "REQUIRED"])),
+  thinking: Schema.optional(Schema.Struct({ type: Schema.String, token_budget: Schema.optional(Schema.Number) })),
+  max_tokens: Schema.optional(Schema.Number),
+  temperature: Schema.optional(Schema.Number),
+  p: Schema.optional(Schema.Number),
+  k: Schema.optional(Schema.Number),
+  seed: Schema.optional(Schema.Number),
+  stop_sequences: Schema.optional(Schema.Array(Schema.String)),
+  frequency_penalty: Schema.optional(Schema.Number),
+  presence_penalty: Schema.optional(Schema.Number),
+})
+const TokenCounts = Schema.Struct({
+  input_tokens: Schema.optional(Schema.Number),
+  output_tokens: Schema.optional(Schema.Number),
+  reasoning_tokens: Schema.optional(Schema.Number),
+})
+const NativeUsage = Schema.Struct({
+  tokens: Schema.optional(TokenCounts),
+  billed_units: Schema.optional(TokenCounts),
+  cached_tokens: Schema.optional(Schema.Number),
+})
+const Event = Schema.Union([
+  Schema.Struct({ type: Schema.Literal("message-start") }),
+  Schema.Struct({
+    type: Schema.Literals(["content-start", "content-delta"]),
+    index: Schema.Number,
+    delta: Schema.Struct({
+      message: Schema.Struct({
+        content: Schema.Struct({ text: Schema.optional(Schema.String), thinking: Schema.optional(Schema.String) }),
+      }),
+    }),
+  }),
+  Schema.Struct({ type: Schema.Literal("content-end"), index: Schema.Number }),
+  Schema.Struct({
+    type: Schema.Literal("tool-plan-delta"),
+    delta: Schema.Struct({ message: Schema.Struct({ tool_plan: Schema.String }) }),
+  }),
+  Schema.Struct({
+    type: Schema.Literals(["tool-call-start", "tool-call-delta"]),
+    index: Schema.Number,
+    delta: Schema.Struct({
+      message: Schema.Struct({
+        tool_calls: Schema.Struct({
+          id: Schema.optional(Schema.String),
+          function: Schema.Struct({ name: Schema.optional(Schema.String), arguments: Schema.optional(Schema.String) }),
+        }),
+      }),
+    }),
+  }),
+  Schema.Struct({ type: Schema.Literal("tool-call-end"), index: Schema.Number }),
+  Schema.Struct({
+    type: Schema.Literal("message-end"),
+    delta: Schema.Struct({ finish_reason: Schema.String, usage: Schema.optional(NativeUsage) }),
+  }),
+  // Citation output is outside this basic chat surface.
+  Schema.Struct({ type: Schema.Literals(["citation-start", "citation-end"]) }),
+])
+type Event = typeof Event.Type
+type State = {
+  readonly lifecycle: Lifecycle.State
+  readonly tools: ToolStream.State<number>
+  readonly finished: boolean
+}
+
+const TOOL_CHOICE = { auto: undefined, none: "NONE", required: "REQUIRED", tool: "REQUIRED" } as const
+
+const fromRequest = Effect.fn("CohereChat.fromRequest")(function* (request: LLMRequest) {
+  const options = yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(Options))(request.providerOptions ?? {})
+  const flattened = ProviderShared.flattenToolRequest(request)
+  const messages: (typeof Message.Type)[] = request.system.length
+    ? [
+        {
+          role: "system",
+          content:
+            request.system.length === 1
+              ? request.system[0].text
+              : request.system.map((part) => ({ type: "text", text: part.text })),
+        },
+      ]
+    : []
+  for (const message of flattened.request.messages) {
+    if (message.role === "system") {
+      messages.push({ role: "user", content: (yield* ProviderShared.wrappedSystemUpdate("Cohere Chat", message)).text })
+      continue
+    }
+    if (message.role === "tool") {
+      for (const part of message.content) {
+        if (part.type !== "tool-result")
+          return yield* ProviderShared.unsupportedContent("Cohere Chat", "tool", ["tool-result"])
+        if (part.result.type === "content" && part.result.value.some((item) => item.type === "file"))
+          return yield* ProviderShared.invalidRequest("Cohere Chat does not support file content in tool results")
+        messages.push({ role: "tool", tool_call_id: part.id, content: ProviderShared.toolResultText(part) })
+      }
+      continue
+    }
+    const content: (typeof Content.Type)[] = []
+    const calls: (typeof ToolCall.Type)[] = []
+    const plans: string[] = []
+    for (const part of message.content) {
+      if (part.type === "text") {
+        content.push({ type: "text", text: part.text })
+        continue
+      }
+      if (message.role === "assistant" && part.type === "reasoning") {
+        if (part.providerMetadata?.cohere?.toolPlan === true) plans.push(part.text)
+        else content.push({ type: "thinking", thinking: part.text })
+        continue
+      }
+      if (message.role === "assistant" && part.type === "tool-call") {
+        const args = ProviderShared.encodeJson(part.input)
+        calls.push({ id: part.id, type: "function", function: { name: part.name, arguments: args } })
+        continue
+      }
+      if (message.role === "user" && part.type === "media" && part.media.mediaType.startsWith("image/")) {
+        const url =
+          ProviderShared.mediaUrl(part.media) ??
+          (yield* ProviderShared.requireInlineMedia("Cohere Chat", part.media)).dataUrl
+        content.push({ type: "image_url", image_url: { url } })
+        continue
+      }
+      return yield* ProviderShared.unsupportedContent(
+        "Cohere Chat",
+        message.role,
+        message.role === "user" ? ["text", "media"] : ["text", "reasoning", "tool-call"],
+      )
+    }
+    messages.push({
+      role: message.role,
+      content: content.length ? content : undefined,
+      tool_calls: calls.length ? calls : undefined,
+      tool_plan: plans.length ? plans.join("") : undefined,
+    })
+  }
+  const selected = request.toolChoice?.type === "tool" ? request.toolChoice.name : undefined
+  const tools = selected === undefined ? flattened.tools : flattened.tools.filter((tool) => tool.name === selected)
+  if (selected !== undefined && tools.length === 0)
+    return yield* ProviderShared.invalidRequest("Cohere Chat tool choice must name an available tool")
+  if (tools.some((tool) => tool.native !== undefined))
+    return yield* ProviderShared.invalidRequest("Cohere Chat does not support provider-defined tools")
+  return {
+    model: request.model.id,
+    messages,
+    stream: true as const,
+    tools: tools.length
+      ? tools.map((tool) => ({
+          type: "function" as const,
+          function: { name: tool.name, description: tool.description, parameters: tool.inputSchema },
+        }))
+      : undefined,
+    tool_choice: TOOL_CHOICE[request.toolChoice?.type ?? "auto"],
+    thinking: options.thinking && {
+      type: options.thinking.type ?? "enabled",
+      // Cohere rejects budgets above max_tokens; fitting also leaves room for the answer.
+      token_budget:
+        options.thinking.tokenBudget === undefined
+          ? undefined
+          : ProviderShared.fitThinkingBudget(options.thinking.tokenBudget, request.generation?.maxTokens),
+    },
+    max_tokens: request.generation?.maxTokens,
+    temperature: request.generation?.temperature,
+    p: request.generation?.topP,
+    k: request.generation?.topK,
+    seed: request.generation?.seed,
+    stop_sequences: request.generation?.stop,
+    frequency_penalty: request.generation?.frequencyPenalty,
+    presence_penalty: request.generation?.presencePenalty,
+  }
+})
+
+const finishReason = (raw: string): FinishReasonDetails => {
+  switch (raw) {
+    case "COMPLETE":
+    case "STOP_SEQUENCE":
+      return { normalized: "stop", raw }
+    case "MAX_TOKENS":
+      return { normalized: "length", raw }
+    case "TOOL_CALL":
+      return { normalized: "tool-calls", raw }
+    case "ERROR":
+    case "TIMEOUT":
+      return { normalized: "error", raw }
+    default:
+      return { normalized: "unknown", raw }
+  }
+}
+
+const mapUsage = (usage: typeof NativeUsage.Type) =>
+  new Usage({
+    inputTokens: usage.tokens?.input_tokens,
+    outputTokens: usage.tokens?.output_tokens,
+    nonCachedInputTokens: ProviderShared.subtractTokens(usage.tokens?.input_tokens, usage.cached_tokens),
+    cacheReadInputTokens: usage.cached_tokens,
+    reasoningTokens: usage.tokens?.reasoning_tokens,
+    totalTokens: ProviderShared.totalTokens(usage.tokens?.input_tokens, usage.tokens?.output_tokens, undefined),
+    providerMetadata: { cohere: usage },
+  })
+
+// Lifecycle deltas open blocks on demand and ends are no-ops for closed blocks, so content-start needs no handling.
+const step = Effect.fn("CohereChat.step")(function* (state: State, event: Event) {
+  const events: LLMEvent[] = []
+  switch (event.type) {
+    case "message-start":
+      return [{ ...state, lifecycle: Lifecycle.stepStart(state.lifecycle, events) }, events] as const
+    case "content-delta": {
+      const id = String(event.index)
+      const content = event.delta.message.content
+      const lifecycle =
+        content.thinking !== undefined
+          ? Lifecycle.reasoningDelta(state.lifecycle, events, id, content.thinking)
+          : Lifecycle.textDelta(state.lifecycle, events, id, content.text ?? "")
+      return [{ ...state, lifecycle }, events] as const
+    }
+    case "content-end": {
+      const id = String(event.index)
+      const lifecycle = Lifecycle.textEnd(Lifecycle.reasoningEnd(state.lifecycle, events, id), events, id)
+      return [{ ...state, lifecycle }, events] as const
+    }
+    case "tool-plan-delta": {
+      const plan = event.delta.message.tool_plan
+      const lifecycle = Lifecycle.reasoningDelta(state.lifecycle, events, "tool-plan", plan, {
+        cohere: { toolPlan: true },
+      })
+      return [{ ...state, lifecycle }, events] as const
+    }
+    case "tool-call-start":
+    case "tool-call-delta": {
+      const call = event.delta.message.tool_calls
+      const result = ToolStream.appendOrStart(
+        ADAPTER,
+        state.tools,
+        event.index,
+        { id: call.id, name: call.function.name, text: call.function.arguments ?? "" },
+        "Cohere tool call is missing id or name",
+      )
+      if (ToolStream.isError(result)) return yield* result
+      return [{ ...state, tools: result.tools }, result.events] as const
+    }
+    case "tool-call-end": {
+      const result = yield* ToolStream.finish(ADAPTER, state.tools, event.index)
+      return [{ ...state, tools: result.tools }, result.events ?? []] as const
+    }
+    case "message-end": {
+      const pending = yield* ToolStream.finishAll(ADAPTER, state.tools)
+      events.push(...pending.events)
+      const lifecycle = Lifecycle.finish(state.lifecycle, events, {
+        reason: finishReason(event.delta.finish_reason),
+        usage: event.delta.usage && mapUsage(event.delta.usage),
+      })
+      return [{ tools: pending.tools, lifecycle, finished: true }, events] as const
+    }
+    default:
+      return [state, events] as const
+  }
+})
+
+export const protocol = Protocol.make({
+  id: ADAPTER,
+  body: { schema: Body, from: fromRequest },
+  stream: {
+    event: Protocol.jsonEvent(Event),
+    initial: (): State => ({ lifecycle: Lifecycle.initial(), tools: ToolStream.empty(), finished: false }),
+    step,
+    terminal: (event) => event.type === "message-end",
+    onHalt: (state) =>
+      state.finished
+        ? Effect.succeed([])
+        : Effect.fail(ProviderShared.eventError(ADAPTER, "Cohere stream ended without message-end")),
+  },
+})
+export const route = Route.make({
+  id: ADAPTER,
+  provider: "cohere",
+  providerMetadataKey: "cohere",
+  protocol,
+  endpoint: Endpoint.path("/chat", { baseURL: DEFAULT_BASE_URL }),
+  framing: Framing.sse,
+})
+export * as CohereChat from "./cohere-chat.js"
@@ -475,7 +475,7 @@ const fromRequest = Effect.fn("Gemini.fromRequest")(function* (request: LLMReque
    safetySettings: options.safetySettings,
    serviceTier: options.serviceTier,
    systemInstruction:
-      request.system.length === 0 ? undefined : { parts: [{ text: ProviderShared.joinText(request.system) }] },
+      request.system.length === 0 ? undefined : { parts: request.system.map((part) => ({ text: part.text })) },
    tools: hasTools
      ? [
          {
@@ -0,0 +1,561 @@
+import { Effect, Schema } from "effect"
+import { Route } from "../route/client.js"
+import { Auth } from "../route/auth.js"
+import { Endpoint } from "../route/endpoint.js"
+import { Framing } from "../route/framing.js"
+import { Protocol } from "../route/protocol.js"
+import {
+  AIError,
+  LLMEvent,
+  ProviderID,
+  Usage,
+  type LLMRequest,
+  type ProviderMetadata,
+  type ToolResultPart,
+} from "../schema/index.js"
+import { Media } from "../media.js"
+import { classifyProviderFailure, providerErrorMessage } from "../provider-error.js"
+import { encodeJson } from "../utils/json.js"
+import { JsonObject, knownString, lenient, optionalNull, ProviderShared } from "./shared.js"
+import { Lifecycle } from "./utils/lifecycle.js"
+import { MediaInput } from "./utils/media-input.js"
+import { ToolStream } from "./utils/tool-stream.js"
+
+const ADAPTER = "google-interactions"
+export const DEFAULT_BASE_URL = "https://generativelanguage.googleapis.com/v1beta"
+
+// =============================================================================
+// Public Model Input
+// =============================================================================
+const ThinkingLevel = knownString<"minimal" | "low" | "medium" | "high">()
+const Options = Schema.Struct({
+  previousInteractionId: lenient(Schema.String),
+  store: lenient(Schema.Boolean),
+  thinkingLevel: lenient(ThinkingLevel),
+  thinkingSummaries: lenient(knownString<"auto" | "none">()),
+  serviceTier: lenient(knownString<"standard" | "flex" | "priority">()),
+})
+export type OptionsInput = typeof Options.Encoded
+export type ProviderOptionsInput = OptionsInput
+const decodeOptions = ProviderShared.validateWith(Schema.decodeUnknownEffect(Options))
+
+// =============================================================================
+// Request Body Schema
+// =============================================================================
+const Text = Schema.Struct({ type: Schema.Literal("text"), text: Schema.String })
+const MediaContent = Schema.Struct({
+  type: Schema.Literals(["image", "audio", "video", "document"]),
+  data: Schema.optional(Schema.String),
+  uri: Schema.optional(Schema.String),
+  mime_type: Schema.String,
+})
+const Content = Schema.Union([Text, MediaContent])
+const InputStep = Schema.Union([
+  Schema.Struct({ type: Schema.Literals(["user_input", "model_output"]), content: Schema.Array(Content) }),
+  Schema.Struct({
+    type: Schema.Literal("thought"),
+    signature: Schema.optional(Schema.String),
+    summary: Schema.optional(Schema.Array(Text)),
+  }),
+  Schema.Struct({
+    type: Schema.Literal("function_call"),
+    id: Schema.String,
+    name: Schema.String,
+    arguments: Schema.Unknown,
+    signature: Schema.optional(Schema.String),
+  }),
+  Schema.Struct({
+    type: Schema.Literal("function_result"),
+    call_id: Schema.String,
+    name: Schema.String,
+    result: Schema.Unknown,
+    is_error: Schema.optional(Schema.Boolean),
+  }),
+])
+type InputStep = typeof InputStep.Type
+const ToolChoice = Schema.Union([
+  Schema.Literals(["auto", "any", "none"]),
+  Schema.Struct({ allowed_tools: Schema.Struct({ mode: Schema.Literal("any"), tools: Schema.Array(Schema.String) }) }),
+])
+const Body = Schema.Struct({
+  model: Schema.String,
+  input: Schema.Array(InputStep),
+  stream: Schema.Literal(true),
+  store: Schema.Boolean,
+  previous_interaction_id: Schema.optional(Schema.String),
+  system_instruction: Schema.optional(Schema.String),
+  service_tier: Schema.optional(Schema.String),
+  tools: Schema.optional(
+    Schema.Array(
+      Schema.Struct({
+        type: Schema.Literal("function"),
+        name: Schema.String,
+        description: Schema.String,
+        parameters: JsonObject,
+      }),
+    ),
+  ),
+  generation_config: Schema.Struct({
+    max_output_tokens: Schema.optional(Schema.Number),
+    temperature: Schema.optional(Schema.Number),
+    top_p: Schema.optional(Schema.Number),
+    seed: Schema.optional(Schema.Number),
+    stop_sequences: Schema.optional(Schema.Array(Schema.String)),
+    thinking_level: Schema.optional(ThinkingLevel),
+    thinking_summaries: Schema.optional(Schema.String),
+    tool_choice: Schema.optional(ToolChoice),
+  }),
+})
+
+// =============================================================================
+// Streaming Event Schema
+// =============================================================================
+const RawUsage = Schema.StructWithRest(
+  Schema.Struct({
+    total_input_tokens: optionalNull(Schema.Number),
+    total_cached_tokens: optionalNull(Schema.Number),
+    total_output_tokens: optionalNull(Schema.Number),
+    total_thought_tokens: optionalNull(Schema.Number),
+    total_tokens: optionalNull(Schema.Number),
+    raw_prompt_token: optionalNull(Schema.Number),
+  }),
+  [Schema.Record(Schema.String, Schema.Unknown)],
+)
+type RawUsage = typeof RawUsage.Type
+const OutputStep = Schema.Struct({
+  type: Schema.String,
+  id: Schema.optional(Schema.String),
+  name: Schema.optional(Schema.String),
+  arguments: Schema.optional(JsonObject),
+  signature: Schema.optional(Schema.String),
+  summary: Schema.optional(Schema.Array(Text)),
+  content: Schema.optional(Schema.Array(Schema.Struct({ type: Schema.String, text: Schema.optional(Schema.String) }))),
+})
+type OutputStep = typeof OutputStep.Type
+const Delta = Schema.Union([
+  Schema.Struct({ type: Schema.Literal("text"), text: Schema.String }),
+  Schema.Struct({ type: Schema.Literal("arguments_delta"), arguments: Schema.String }),
+  Schema.Struct({ type: Schema.Literal("thought_signature"), signature: Schema.String }),
+  Schema.Struct({ type: Schema.Literal("thought_summary"), content: Text }),
+  // Unknown output modalities must fail explicitly rather than disappearing from a successful response.
+  Schema.Struct({ type: Schema.String }),
+])
+const Interaction = Schema.StructWithRest(
+  Schema.Struct({
+    id: Schema.optional(Schema.String),
+    status: Schema.String,
+    usage: Schema.optional(RawUsage),
+  }),
+  [Schema.Record(Schema.String, Schema.Unknown)],
+)
+const Event = Schema.Union([
+  Schema.Struct({ event_type: Schema.Literal("step.start"), index: Schema.Number, step: OutputStep }),
+  Schema.Struct({ event_type: Schema.Literal("step.delta"), index: Schema.Number, delta: Delta }),
+  Schema.Struct({ event_type: Schema.Literal("step.stop"), index: Schema.Number }),
+  Schema.Struct({
+    event_type: Schema.Literal("interaction.created"),
+    interaction: Schema.Struct({ id: Schema.optional(Schema.String) }),
+  }),
+  Schema.Struct({
+    event_type: Schema.Literal("interaction.status_update"),
+    interaction_id: Schema.optional(Schema.String),
+    status: Schema.String,
+  }),
+  Schema.Struct({ event_type: Schema.Literal("interaction.completed"), interaction: Interaction }),
+  Schema.Struct({ event_type: Schema.Literal("error"), error: Schema.Unknown }),
+])
+type Event = typeof Event.Type
+
+// =============================================================================
+// Parser State
+// =============================================================================
+interface ParserState {
+  readonly route: string
+  readonly metadataKey: string
+  readonly lifecycle: Lifecycle.State
+  readonly steps: Partial<Record<number, OutputStep>>
+  readonly tools: ToolStream.State<number>
+  readonly completed: boolean
+}
+type StepResult = readonly [ParserState, ReadonlyArray<LLMEvent>]
+
+// =============================================================================
+// Request Body Construction
+// =============================================================================
+const mediaContent = Effect.fn("GoogleInteractions.mediaContent")(function* (asset: Media.Asset) {
+  if (
+    asset.kind !== "image" &&
+    asset.kind !== "audio" &&
+    asset.kind !== "video" &&
+    asset.mediaType !== "application/pdf" &&
+    asset.mediaType !== "text/csv"
+  )
+    return yield* ProviderShared.invalidRequest(
+      `Google Interactions does not support ${asset.mediaType} document input`,
+    )
+  const type: (typeof MediaContent.Type)["type"] =
+    asset.kind === "image" || asset.kind === "audio" || asset.kind === "video" ? asset.kind : "document"
+  const uri = MediaInput.refID(asset, ProviderID.make("google"))
+  if (uri !== undefined) return { type, uri, mime_type: asset.mediaType }
+  const inline = yield* ProviderShared.requireInlineMedia("Google Interactions", asset)
+  return { type, data: inline.base64, mime_type: inline.mime }
+})
+
+const signature = (metadata: ProviderMetadata | undefined, key: string) => {
+  const value = metadata?.[key]
+  return ProviderShared.isRecord(value) && typeof value.interactionSignature === "string"
+    ? value.interactionSignature
+    : undefined
+}
+
+const lowerMessages = Effect.fn("GoogleInteractions.lowerMessages")(function* (request: LLMRequest) {
+  const steps: InputStep[] = []
+  const key = request.model.route.providerMetadataKey ?? String(request.model.provider)
+  for (const message of request.messages) {
+    if (message.role === "system") {
+      const part = yield* ProviderShared.wrappedSystemUpdate("Google Interactions", message)
+      steps.push({ type: "user_input", content: [{ type: "text", text: part.text }] })
+      continue
+    }
+    const start = steps.length
+    // Consecutive ordinary content remains one native message; tools and thoughts retain their chronology.
+    const append = (content: typeof Content.Type) => {
+      const type = message.role === "assistant" ? "model_output" : "user_input"
+      const last = steps.at(-1)
+      if (steps.length > start && last?.type === type)
+        steps[steps.length - 1] = { type, content: [...last.content, content] }
+      else steps.push({ type, content: [content] })
+    }
+    for (const part of message.content) {
+      if (message.role === "tool") {
+        if (part.type !== "tool-result")
+          return yield* ProviderShared.unsupportedContent(ADAPTER, "tool", ["tool-result"])
+        steps.push({
+          type: "function_result",
+          call_id: part.id,
+          name: part.name,
+          result: yield* lowerToolResult(part),
+          is_error: part.result.type === "error" || undefined,
+        })
+        continue
+      }
+      if (part.type === "text") {
+        append({ type: "text", text: part.text })
+        continue
+      }
+      if (part.type === "media") {
+        append(yield* mediaContent(part.media))
+        continue
+      }
+      if (message.role === "assistant" && part.type === "reasoning") {
+        steps.push({
+          type: "thought",
+          signature: signature(part.providerMetadata, key),
+          summary: part.text ? [{ type: "text", text: part.text }] : undefined,
+        })
+        continue
+      }
+      if (message.role === "assistant" && part.type === "tool-call") {
+        steps.push({
+          type: "function_call",
+          id: part.id,
+          name: part.name,
+          arguments: part.input,
+          signature: signature(part.providerMetadata, key),
+        })
+        continue
+      }
+      return yield* ProviderShared.unsupportedContent(
+        ADAPTER,
+        message.role,
+        message.role === "user" ? ["text", "media"] : ["text", "media", "reasoning", "tool-call"],
+      )
+    }
+  }
+  return steps
+})
+
+const lowerToolResult = Effect.fn("GoogleInteractions.lowerToolResult")(function* (part: ToolResultPart) {
+  if (part.result.type === "json" && ProviderShared.isRecord(part.result.value)) return part.result.value
+  if (part.result.type !== "content") return ProviderShared.toolResultText(part)
+
+  return yield* Effect.forEach(part.result.value, (item): Effect.Effect<typeof Content.Type, AIError> => {
+    if (item.type === "text") return Effect.succeed({ type: "text", text: item.text })
+    return mediaContent(ProviderShared.toolFileMedia(item).media)
+  })
+})
+
+const fromRequest = Effect.fn("GoogleInteractions.fromRequest")(function* (request: LLMRequest) {
+  const options = yield* decodeOptions(request.providerOptions ?? {})
+  const flattened = ProviderShared.flattenToolRequest(request)
+  if (flattened.tools.some((tool) => tool.native !== undefined))
+    return yield* ProviderShared.invalidRequest("Google Interactions hosted tools are not supported")
+  if (
+    request.generation?.topK !== undefined ||
+    request.generation?.frequencyPenalty !== undefined ||
+    request.generation?.presencePenalty !== undefined
+  )
+    return yield* ProviderShared.invalidRequest(
+      "Google Interactions does not support topK, frequencyPenalty, or presencePenalty",
+    )
+  const choice =
+    request.toolChoice === undefined
+      ? undefined
+      : yield* ProviderShared.matchToolChoice(ADAPTER, request.toolChoice, {
+          auto: () => "auto" as const,
+          none: () => "none" as const,
+          required: () => "any" as const,
+          tool: (name) => ({ allowed_tools: { mode: "any" as const, tools: [name] } }),
+        })
+  return {
+    model: request.model.id,
+    input: yield* lowerMessages(flattened.request),
+    stream: true as const,
+    // Full-history replay need not create retained provider resources. Continuation callers opt in to storage.
+    store: options.store ?? false,
+    previous_interaction_id: options.previousInteractionId,
+    system_instruction: request.system.length ? ProviderShared.joinText(request.system) : undefined,
+    service_tier: options.serviceTier,
+    tools: flattened.tools.length
+      ? flattened.tools.map((tool) => ({
+          type: "function" as const,
+          name: tool.name,
+          description: tool.description,
+          parameters: tool.inputSchema,
+        }))
+      : undefined,
+    generation_config: {
+      max_output_tokens: request.generation?.maxTokens,
+      temperature: request.generation?.temperature,
+      top_p: request.generation?.topP,
+      seed: request.generation?.seed,
+      stop_sequences: request.generation?.stop,
+      thinking_level: options.thinkingLevel,
+      thinking_summaries: options.thinkingSummaries,
+      tool_choice: choice,
+    },
+  }
+})
+
+// =============================================================================
+// Stream Parsing
+// =============================================================================
+const metadata = (state: ParserState, step: OutputStep): ProviderMetadata => ({
+  [state.metadataKey]: { interactionSignature: step.signature },
+})
+const mapUsage = (usage: RawUsage | undefined, key: string) => {
+  if (!usage) return undefined
+  const input = usage.total_input_tokens ?? undefined
+  const cached = usage.total_cached_tokens ?? undefined
+  const reasoning = usage.total_thought_tokens ?? undefined
+  const output =
+    usage.total_output_tokens === undefined || usage.total_output_tokens === null
+      ? undefined
+      : usage.total_output_tokens + (reasoning ?? 0)
+  return new Usage({
+    contextTokens: usage.raw_prompt_token ?? input,
+    inputTokens: input,
+    outputTokens: output,
+    nonCachedInputTokens: ProviderShared.subtractTokens(input, cached),
+    cacheReadInputTokens: cached,
+    reasoningTokens: reasoning,
+    totalTokens: usage.total_tokens ?? undefined,
+    providerMetadata: { [key]: usage },
+  })
+}
+
+const onStart = Effect.fn("GoogleInteractions.onStart")(function* (
+  state: ParserState,
+  index: number,
+  step: OutputStep,
+) {
+  const events: LLMEvent[] = []
+  let lifecycle = Lifecycle.stepStart(state.lifecycle, events)
+  let tools = state.tools
+  const id = String(index)
+  if (step.type === "thought") {
+    lifecycle = Lifecycle.reasoningStart(lifecycle, events, id, metadata(state, step))
+    for (const part of step.summary ?? []) lifecycle = Lifecycle.reasoningDelta(lifecycle, events, id, part.text)
+  } else if (step.type === "model_output") {
+    lifecycle = Lifecycle.textStart(lifecycle, events, id)
+    for (const part of step.content ?? []) {
+      if (part.type !== "text")
+        return yield* ProviderShared.eventError(
+          ADAPTER,
+          `Unsupported Interactions output: ${part.type}`,
+          encodeJson(step),
+        )
+      if (part.text) lifecycle = Lifecycle.textDelta(lifecycle, events, id, part.text)
+    }
+  } else if (step.type === "function_call") {
+    if (!step.id || !step.name)
+      return yield* ProviderShared.eventError(ADAPTER, "Interactions function call lacks id or name", encodeJson(step))
+    tools = ToolStream.start(tools, index, {
+      id: step.id,
+      name: step.name,
+      providerMetadata: metadata(state, step),
+      input: step.arguments && Object.keys(step.arguments).length ? encodeJson(step.arguments) : "",
+    })
+    events.push(LLMEvent.toolInputStart({ id: step.id, name: step.name, providerMetadata: metadata(state, step) }))
+  } else
+    return yield* ProviderShared.eventError(ADAPTER, `Unsupported Interactions step: ${step.type}`, encodeJson(step))
+  return [{ ...state, lifecycle, tools, steps: { ...state.steps, [index]: step } }, events] satisfies StepResult
+})
+
+const onDelta = Effect.fn("GoogleInteractions.onDelta")(function* (
+  state: ParserState,
+  index: number,
+  delta: typeof Delta.Type,
+) {
+  const step = state.steps[index]
+  if (!step)
+    return yield* ProviderShared.eventError(ADAPTER, "Interactions delta without step.start", encodeJson(delta))
+  const events: LLMEvent[] = []
+  if (delta.type === "text" && "text" in delta && step.type === "model_output")
+    return [
+      { ...state, lifecycle: Lifecycle.textDelta(state.lifecycle, events, String(index), delta.text) },
+      events,
+    ] satisfies StepResult
+  if (delta.type === "thought_summary" && "content" in delta && step.type === "thought")
+    return [
+      { ...state, lifecycle: Lifecycle.reasoningDelta(state.lifecycle, events, String(index), delta.content.text) },
+      events,
+    ] satisfies StepResult
+  if (delta.type === "thought_signature" && "signature" in delta) {
+    const next = { ...step, signature: delta.signature }
+    const tool = state.tools[index]
+    return [
+      {
+        ...state,
+        steps: { ...state.steps, [index]: next },
+        tools: tool ? { ...state.tools, [index]: { ...tool, providerMetadata: metadata(state, next) } } : state.tools,
+      },
+      events,
+    ] satisfies StepResult
+  }
+  if (delta.type === "arguments_delta" && "arguments" in delta && step.type === "function_call") {
+    const result = ToolStream.appendExisting(
+      ADAPTER,
+      state.tools,
+      index,
+      delta.arguments,
+      "Interactions arguments without function call",
+    )
+    if (ToolStream.isError(result)) return yield* result
+    return [{ ...state, tools: result.tools }, result.events] satisfies StepResult
+  }
+  return yield* ProviderShared.eventError(ADAPTER, `Unsupported Interactions delta: ${delta.type}`, encodeJson(delta))
+})
+
+const onStop = Effect.fn("GoogleInteractions.onStop")(function* (state: ParserState, index: number) {
+  const step = state.steps[index]
+  if (!step) return yield* ProviderShared.eventError(ADAPTER, "Interactions step.stop without step.start")
+  const events: LLMEvent[] = []
+  if (step.type === "thought")
+    return [
+      { ...state, lifecycle: Lifecycle.reasoningEnd(state.lifecycle, events, String(index), metadata(state, step)) },
+      events,
+    ] satisfies StepResult
+  if (step.type === "model_output")
+    return [
+      { ...state, lifecycle: Lifecycle.textEnd(state.lifecycle, events, String(index)) },
+      events,
+    ] satisfies StepResult
+  const result = yield* ToolStream.finish(ADAPTER, state.tools, index)
+  return [{ ...state, tools: result.tools }, result.events ?? []] satisfies StepResult
+})
+
+const step = Effect.fn("GoogleInteractions.step")(function* (state: ParserState, event: Event) {
+  switch (event.event_type) {
+    case "step.start":
+      return yield* onStart(state, event.index, event.step)
+    case "step.delta":
+      return yield* onDelta(state, event.index, event.delta)
+    case "step.stop":
+      return yield* onStop(state, event.index)
+    case "interaction.created":
+    case "interaction.status_update":
+      return [state, []] satisfies StepResult
+    case "error":
+      return yield* new AIError({
+        reason: classifyProviderFailure({
+          message: providerErrorMessage(encodeJson(event)) ?? "Google Interactions stream error",
+          data: event.error,
+          rawBody: encodeJson(event),
+        }),
+      })
+    case "interaction.completed": {
+      const interaction = event.interaction
+      if (interaction.status === "failed" || interaction.status === "cancelled")
+        return yield* new AIError({
+          reason: classifyProviderFailure({
+            message: `Google Interactions ${interaction.status}`,
+            data: interaction,
+            rawBody: encodeJson(event),
+          }),
+        })
+      if (!["completed", "requires_action", "incomplete"].includes(interaction.status))
+        return yield* ProviderShared.eventError(
+          ADAPTER,
+          `Unexpected terminal Interactions status: ${interaction.status}`,
+          encodeJson(event),
+        )
+      const pending = yield* ToolStream.finishAll(ADAPTER, state.tools)
+      const events = [...pending.events]
+      const lifecycle = Lifecycle.finish(state.lifecycle, events, {
+        reason: {
+          normalized:
+            interaction.status === "requires_action"
+              ? "tool-calls"
+              : interaction.status === "incomplete"
+                ? "length"
+                : "stop",
+          raw: interaction.status,
+        },
+        usage: mapUsage(interaction.usage, state.metadataKey),
+        providerMetadata: { [state.metadataKey]: { interactionId: interaction.id } },
+      })
+      return [{ ...state, lifecycle, tools: pending.tools, completed: true }, events] satisfies StepResult
+    }
+  }
+})
+
+// =============================================================================
+// Protocol And Route
+// =============================================================================
+export const protocol = Protocol.make({
+  id: ADAPTER,
+  sanitizer: "gemini",
+  body: { schema: Body, from: fromRequest },
+  stream: {
+    event: Protocol.jsonEvent(Event),
+    initial: (request): ParserState => ({
+      route: `${request.model.provider}/${ADAPTER}`,
+      metadataKey: request.model.route.providerMetadataKey ?? String(request.model.provider),
+      lifecycle: Lifecycle.initial(),
+      steps: {},
+      tools: ToolStream.empty<number>(),
+      completed: false,
+    }),
+    step,
+    terminal: (event) => event.event_type === "interaction.completed",
+    onHalt: (state) =>
+      state.completed
+        ? Effect.succeed([])
+        : Effect.fail(
+            ProviderShared.eventError(ADAPTER, "Google Interactions stream ended before interaction.completed"),
+          ),
+  },
+})
+
+export const route = Route.make({
+  id: ADAPTER,
+  provider: "google",
+  providerMetadataKey: "google",
+  protocol,
+  endpoint: Endpoint.path("/interactions", { baseURL: DEFAULT_BASE_URL }),
+  auth: Auth.none,
+  framing: Framing.sse,
+})
+
+export * as GoogleInteractions from "./google-interactions.js"
@@ -1,6 +1,8 @@
 export * as AnthropicMessages from "./anthropic-messages.js"
 export * as BedrockConverse from "./bedrock-converse.js"
+export * as CohereChat from "./cohere-chat.js"
 export * as Gemini from "./gemini.js"
+export * as GoogleInteractions from "./google-interactions.js"
 export * as MistralChat from "./mistral-chat.js"
 export * as OpenAIChat from "./openai-chat.js"
 export * as OpenAIImages from "./openai-images.js"
@@ -1,6 +1,5 @@
 import { Effect, Encoding, Schema } from "effect"
 import { Protocol } from "../route/protocol.js"
-import { HttpTransport } from "../route/transport/index.js"
 import { LLMEvent, LLMRequest, Message, ToolResultPart } from "../schema/index.js"
 import { OpenResponses } from "./open-responses.js"
 import { JsonObject, optionalArray, optionalNull, ProviderShared } from "./shared.js"
@@ -44,13 +43,6 @@ const ImageItem = Schema.Struct({
  error: Schema.optional(Schema.Unknown),
 })

-const Body = Schema.Struct({
-  ...OpenResponses.coreFields,
-  input: Schema.Array(Schema.Union([OpenResponses.InputItem, ImageItem])),
-  tools: optionalArray(Schema.Union([OpenResponses.Tool, NativeTool])),
-  stream: Schema.Literal(true),
-})
-
 const MessageAnnotations = Schema.Struct({
  content: Schema.Array(Schema.Struct({ annotations: optionalArray(JsonObject) })),
 })
@@ -62,12 +54,13 @@ interface ParserState extends OpenResponses.ParserState {
 const adapter = {
  id: ADAPTER,
  name: NAME,
+  nativeTool: (native) => ProviderShared.validateWith(Schema.decodeUnknownEffect(NativeTool))(native.meta),
  restoreHostedToolItem: (item: unknown) => (Schema.is(ImageItem)(item) ? item : undefined),
 } satisfies OpenResponses.ProviderAdapter

 const fromRequest = Effect.fn("MetaResponses.fromRequest")(function* (request: LLMRequest) {
  const key = request.model.route.providerMetadataKey ?? String(request.model.provider)
-  const projected = ProviderShared.flattenToolRequest(
+  return yield* OpenResponses.fromRequestWithAdapter(
    LLMRequest.update(request, {
      messages: request.messages.map((message) =>
        Message.make({
@@ -93,23 +86,8 @@ const fromRequest = Effect.fn("MetaResponses.fromRequest")(function* (request: L
        }),
      ),
    }),
+    adapter,
  )
-  return yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(Body))({
-    ...(yield* OpenResponses.lowerConversation(projected.request, adapter)),
-    ...OpenResponses.lowerGeneration(request),
-    tools:
-      projected.tools.length === 0
-        ? undefined
-        : yield* Effect.forEach(projected.tools, (tool) =>
-            Effect.gen(function* () {
-              if (tool.native === undefined) return yield* OpenResponses.lowerTool(NAME, tool)
-              return yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(NativeTool))(tool.native.meta)
-            }),
-          ),
-    tool_choice:
-      OpenResponses.allowedToolChoice(request) ??
-      (request.toolChoice ? yield* OpenResponses.lowerToolChoice(NAME, request.toolChoice) : undefined),
-  })
 })

 const HOSTED_TOOLS = {
@@ -222,7 +200,7 @@ const step = Effect.fn("MetaResponses.step")(function* (state: ParserState, inpu

 export const protocol = Protocol.make({
  id: ADAPTER,
-  body: { schema: Body, from: fromRequest },
+  body: { schema: OpenResponses.OpenResponsesBody, from: fromRequest },
  stream: {
    event: OpenResponses.protocol.stream.event,
    initial: (request): ParserState => ({ ...OpenResponses.initial(request, adapter), completedItems: new Set() }),
@@ -231,6 +209,6 @@ export const protocol = Protocol.make({
  },
 })

-export const httpTransport = HttpTransport.sseJson.with<Schema.Schema.Type<typeof Body>>()
+export const httpTransport = OpenResponses.httpTransport

 export * as MetaResponses from "./meta-responses.js"
@@ -68,7 +68,10 @@ const MistralAssistantToolCall = Schema.Struct({
 type MistralAssistantToolCall = Schema.Schema.Type<typeof MistralAssistantToolCall>

 const MistralMessage = Schema.Union([
-  Schema.Struct({ role: Schema.Literal("system"), content: Schema.String }),
+  Schema.Struct({
+    role: Schema.Literal("system"),
+    content: Schema.Union([Schema.String, Schema.Array(MistralTextContent)]),
+  }),
  Schema.Struct({
    role: Schema.Literal("user"),
    content: Schema.Union([Schema.String, Schema.Array(MistralUserContent)]),
@@ -335,7 +338,17 @@ const lowerToolResults = Effect.fn("MistralChat.lowerToolResults")(function* (
 const lowerMessages = Effect.fn("MistralChat.lowerMessages")(function* (request: LLMRequest) {
  const normalizeID = MistralToolID.normalizer(request)
  const messages: MistralMessage[] =
-    request.system.length === 0 ? [] : [{ role: "system", content: ProviderShared.joinText(request.system) }]
+    request.system.length === 0
+      ? []
+      : [
+          {
+            role: "system",
+            content:
+              request.system.length === 1
+                ? request.system[0].text
+                : request.system.map((part) => ({ type: "text", text: part.text })),
+          },
+        ]
  for (const message of request.messages) {
    if (message.role === "system") {
      const update = yield* ProviderShared.wrappedSystemUpdate("Mistral Chat", message)
@@ -168,10 +168,20 @@ export const ConfigurationUpdate = Schema.Struct({
  type: Schema.Literal("configuration_update"),
  reasoning: Schema.Struct({ effort: OpenResponsesOptions.ReasoningEffort }),
 })
-type ConfigurationUpdate = Schema.Schema.Type<typeof ConfigurationUpdate>
+export type ConfigurationUpdate = Schema.Schema.Type<typeof ConfigurationUpdate>
+
+export const HostedToolReplay = Schema.StructWithRest(
+  Schema.Struct({
+    type: Schema.String,
+    id: Schema.String,
+  }),
+  [JsonObject],
+)
+export type HostedToolReplayItem = Schema.Schema.Type<typeof HostedToolReplay>

 export const InputItem = Schema.Union([
  CompactionItem,
+  ConfigurationUpdate,
  Schema.Struct({ type: Schema.tag("message"), role: Schema.tag("system"), content: Schema.String }),
  Schema.Struct({ type: Schema.tag("message"), role: Schema.tag("developer"), content: Schema.String }),
  Schema.Struct({
@@ -204,24 +214,9 @@ export const InputItem = Schema.Union([
    output: OpenResponsesFunctionCallOutput,
  }),
  HostedToolItem,
+  HostedToolReplay,
 ])
 type OpenResponsesInputItem = Schema.Schema.Type<typeof InputItem>
-export type HostedToolReplayItem = {
-  readonly type: string
-  readonly id: string
-  readonly [key: string]: unknown
-}
-type LoweredInputItem =
-  | OpenResponsesInputItem
-  | HostedToolReplayItem
-  | ConfigurationUpdate
-  | {
-      readonly type: "message"
-      readonly id?: string
-      readonly role: "assistant"
-      readonly content: ReadonlyArray<{ readonly type: "output_text"; readonly text: string }>
-      readonly phase?: MessagePhase | null
-    }

 // Mutable counterpart of the schema reasoning item so `lowerMessages` can fold
 // multiple streamed summary parts into the same item before flushing.
@@ -239,6 +234,14 @@ export const Tool = Schema.Struct({
  strict: Schema.optional(Schema.Boolean),
 })

+export const HostedTool = Schema.StructWithRest(
+  Schema.Struct({
+    type: Schema.String,
+  }),
+  [JsonObject],
+)
+export type HostedTool = Schema.Schema.Type<typeof HostedTool>
+
 export const ToolChoice = Schema.Union([
  Schema.Literals(["auto", "none", "required"]),
  Schema.Struct({ type: Schema.tag("function"), name: Schema.String }),
@@ -257,7 +260,7 @@ export const coreFields = {
  model: Schema.String,
  input: Schema.Array(InputItem),
  instructions: Schema.optional(Schema.String),
-  tools: optionalArray(Tool),
+  tools: optionalArray(Schema.Union([Tool, HostedTool])),
  tool_choice: Schema.optional(ToolChoice),
  store: Schema.optional(Schema.Boolean),
  metadata: Schema.optional(Schema.Record(Schema.String, Schema.String)),
@@ -292,7 +295,7 @@ export const coreFields = {
  frequency_penalty: Schema.optional(Schema.Number),
 }

-const OpenResponsesBody = Schema.Struct({
+export const OpenResponsesBody = Schema.Struct({
  ...coreFields,
  stream: Schema.Literal(true),
 })
@@ -397,9 +400,7 @@ export const decodeChannelEvent = (frame: string) =>
 export interface ProviderAdapter {
  readonly id: string
  readonly name: string
-  readonly nativeTool?: (
-    native: NonNullable<ToolDefinition["native"]>,
-  ) => Effect.Effect<{ readonly type: string }, AIError>
+  readonly nativeTool?: (native: NonNullable<ToolDefinition["native"]>) => Effect.Effect<HostedTool, AIError>
  readonly lowerMedia?: (input: {
    readonly part: MediaPart
    readonly media: Media.Inline | undefined
@@ -455,8 +456,10 @@ export const lowerTool = Effect.fn("OpenResponses.lowerTool")(function* (protoco
 })

 export const lowerTools = (tools: ReadonlyArray<ToolDefinition>, adapter: ProviderAdapter) =>
-  Effect.forEach(tools, (tool) =>
-    tool.native !== undefined && adapter.nativeTool ? adapter.nativeTool(tool.native) : lowerTool(adapter.name, tool),
+  Effect.forEach(
+    tools,
+    (tool): Effect.Effect<Schema.Schema.Type<typeof Tool> | HostedTool, AIError> =>
+      tool.native !== undefined && adapter.nativeTool ? adapter.nativeTool(tool.native) : lowerTool(adapter.name, tool),
  )

 export const lowerToolChoice = (protocolName: string, toolChoice: NonNullable<LLMRequest["toolChoice"]>) =>
@@ -592,7 +595,7 @@ const lowerMessages = Effect.fn("OpenResponses.lowerMessages")(function* (
  request: LLMRequest,
  adapter: ProviderAdapter,
 ) {
-  const input: LoweredInputItem[] = []
+  const input: OpenResponsesInputItem[] = []
  const providerMetadataKey = metadataKey(request.model)

  for (const message of request.messages) {
@@ -827,11 +830,7 @@ export const fromRequestWithAdapter = Effect.fn("OpenResponses.fromRequestWithAd
  }
 })

-const decodeBody = ProviderShared.validateWith(Schema.decodeUnknownEffect(OpenResponsesBody))
-
-export const fromRequest = Effect.fn("OpenResponses.fromRequest")(function* (request: LLMRequest) {
-  return yield* decodeBody(yield* fromRequestWithAdapter(request, BASE_ADAPTER))
-})
+export const fromRequest = (request: LLMRequest) => fromRequestWithAdapter(request, BASE_ADAPTER)

 // =============================================================================
 // Stream Parsing
@@ -14,7 +14,6 @@ import {
  ProviderInternalError,
  UnknownProviderError,
  Usage,
-  type FinishReason,
  type FinishReasonDetails,
  type CacheHint,
  type LLMRequest,
@@ -46,12 +45,6 @@ const OpenAIChatCacheControl = Schema.Struct({
 })
 type OpenAIChatCacheControl = Schema.Schema.Type<typeof OpenAIChatCacheControl>

-const OpenAIChatFunction = Schema.Struct({
-  name: Schema.String,
-  description: Schema.String,
-  parameters: JsonObject,
-})
-
 const OpenAIChatTool = Schema.Struct({
  type: Schema.tag("function"),
  function: Schema.Struct({
@@ -212,9 +205,11 @@ const OpenAIChatUsage = Schema.StructWithRest(
    prompt_tokens: optionalNull(Schema.Number),
    completion_tokens: optionalNull(Schema.Number),
    total_tokens: optionalNull(Schema.Number),
-    // Zai reports cache hits as top-level `cached_tokens`; DeepSeek uses `prompt_cache_hit_tokens`.
+    // Provider-specific cache accounting fields.
    cached_tokens: optionalNull(Schema.Number),
    prompt_cache_hit_tokens: optionalNull(Schema.Number),
+    cache_read_input_tokens: optionalNull(Schema.Number),
+    cache_created_input_tokens: optionalNull(Schema.Number),
    prompt_tokens_details: optionalNull(
      Schema.StructWithRest(
        Schema.Struct({
@@ -903,16 +898,19 @@ const mapFinishReason = Effect.fn("OpenAIChat.mapFinishReason")(function* (event
 // satisfied on both sides.
 // Providers differ on cache-hit location: OpenAI uses
 // `prompt_tokens_details.cached_tokens`, DeepSeek uses
-// `prompt_cache_hit_tokens`, and Zai uses top-level `cached_tokens`.
+// `prompt_cache_hit_tokens`, Zai uses top-level `cached_tokens`, and
+// DigitalOcean uses top-level `cache_read_input_tokens` / `cache_created_input_tokens`.
 const mapUsage = (usage: OpenAIChatEvent["usage"], providerMetadataKey: string): Usage | undefined => {
  if (!usage) return undefined
  const input = usage.prompt_tokens ?? undefined
  const output = usage.completion_tokens ?? undefined
-  const cached = (usage.prompt_tokens_details?.cached_tokens ??
-    (usage as { prompt_cache_hit_tokens?: number | null }).prompt_cache_hit_tokens ??
-    (usage as { cached_tokens?: number | null }).cached_tokens ??
-    undefined) as number | undefined
-  const cacheWrite = usage.prompt_tokens_details?.cache_write_tokens ?? undefined
+  const cached =
+    usage.prompt_tokens_details?.cached_tokens ??
+    usage.prompt_cache_hit_tokens ??
+    usage.cached_tokens ??
+    usage.cache_read_input_tokens ??
+    undefined
+  const cacheWrite = usage.prompt_tokens_details?.cache_write_tokens ?? usage.cache_created_input_tokens ?? undefined
  const reasoning = usage.completion_tokens_details?.reasoning_tokens ?? undefined
  const nonCached = ProviderShared.subtractTokens(input, ProviderShared.sumTokens(cached, cacheWrite))
  return new Usage({
@@ -103,15 +103,8 @@ const OpenAIResponsesToolChoice = Schema.Union([
  Schema.Struct({ type: Schema.tag("image_generation") }),
 ])

-const OpenAIResponsesInputItem = Schema.Union([
-  OpenResponses.InputItem,
-  OpenAIResponsesHostedToolItem,
-  OpenResponses.ConfigurationUpdate,
-])
-
 const OpenAIResponsesCoreFields = {
  ...OpenResponses.coreFields,
-  input: Schema.Array(OpenAIResponsesInputItem),
  tools: optionalArray(OpenAIResponsesTools),
  tool_choice: Schema.optional(OpenAIResponsesToolChoice),
  context_management: Schema.optional(
@@ -134,7 +127,7 @@ export type OpenAIResponsesBody = Schema.Schema.Type<typeof OpenAIResponsesBody>
 export const CompactionTrigger = Schema.Struct({ type: Schema.Literal("compaction_trigger") })
 const CheckpointBody = Schema.Struct({
  ...OpenAIResponsesBody.fields,
-  input: Schema.Array(Schema.Union([OpenAIResponsesInputItem, CompactionTrigger])),
+  input: Schema.Array(Schema.Union([OpenResponses.InputItem, CompactionTrigger])),
 })

 const adapter = {
@@ -202,15 +195,13 @@ const lowerToolChoice = (toolChoice: NonNullable<LLMRequest["toolChoice"]>, tool
        : { type: "function" as const, name },
  })

-const decodeBody = ProviderShared.validateWith(Schema.decodeUnknownEffect(OpenAIResponsesBody))
-
 const fromRequest = Effect.fn("OpenAIResponses.fromRequest")(function* (request: LLMRequest) {
  const management = yield* ProviderShared.validateWith(
    Schema.decodeUnknownEffect(Schema.UndefinedOr(ContextManagement)),
  )(request.providerOptions?.contextManagement)
  const options = OpenResponsesOptions.resolve(request)
  const updates = resolveEffortUpdates(request, options.reasoningEffort)
-  return yield* decodeBody({
+  return {
    ...(yield* OpenResponses.lowerConversation(updates.request, adapter)),
    ...OpenResponses.lowerGeneration(request, { ...options, reasoningEffort: updates.effort }),
    context_management: management?.map((edit) => ({ type: edit.type, compact_threshold: edit.compactThreshold })),
@@ -220,7 +211,7 @@ const fromRequest = Effect.fn("OpenAIResponses.fromRequest")(function* (request:
        ? undefined
        : (OpenResponses.allowedToolChoice(request) ??
          (request.toolChoice ? yield* lowerToolChoice(request.toolChoice, request.tools) : undefined)),
-  })
+  }
 })

 const checkpointBody = {
@@ -1,4 +1,5 @@
 // Shared counter and TTL mapping for provider cache-marker lowering.
+import type { CacheHint } from "../../schema/index.js"

 export interface Breakpoints {
  remaining: number
@@ -11,3 +12,12 @@ export const newBreakpoints = (cap: number): Breakpoints => ({ remaining: cap, d
 // requests omit the wire TTL and use the provider default.
 export const ttlBucket = (ttlSeconds: number | undefined): "1h" | undefined =>
  ttlSeconds !== undefined && ttlSeconds >= 3600 ? "1h" : undefined
+
+export const cacheControl = () => {
+  const breakpoints = newBreakpoints(4)
+  return (cache: CacheHint | undefined) => {
+    if (cache === undefined || breakpoints.remaining === 0) return undefined
+    breakpoints.remaining -= 1
+    return { type: "ephemeral" as const, ttl: ttlBucket(cache.ttlSeconds) }
+  }
+}
@@ -31,19 +31,12 @@ const XAIResponsesHostedToolItem = Schema.Union([
  ),
 ])

-const XAIResponsesBody = Schema.Struct({
-  ...OpenResponses.coreFields,
-  input: Schema.Array(Schema.Union([OpenResponses.InputItem, XAIResponsesHostedToolItem])),
-  stream: Schema.Literal(true),
-})
-
 const adapter = {
  id: ADAPTER,
  name: NAME,
  restoreHostedToolItem: (item: unknown) => (Schema.is(XAIResponsesHostedToolItem)(item) ? item : undefined),
 } satisfies OpenResponses.ProviderAdapter

-const decodeBody = ProviderShared.validateWith(Schema.decodeUnknownEffect(XAIResponsesBody))
 const fromRequest = Effect.fn("XAIResponses.fromRequest")(function* (request: LLMRequest) {
  if (request.providerOptions?.contextManagement !== undefined)
    return yield* ProviderShared.unsupportedOperation({
@@ -53,7 +46,7 @@ const fromRequest = Effect.fn("XAIResponses.fromRequest")(function* (request: LL
      message:
        "xAI requires explicit compaction through LLMClient.compact; automatic context management is not supported",
    })
-  return yield* decodeBody(yield* OpenResponses.fromRequestWithAdapter(request, adapter))
+  return yield* OpenResponses.fromRequestWithAdapter(request, adapter)
 })

 const HOSTED_TOOLS = {
@@ -83,7 +76,7 @@ const step = (state: OpenResponses.ParserState, input: OpenResponses.Event) => {
 export const protocol = Protocol.make({
  id: ADAPTER,
  body: {
-    schema: XAIResponsesBody,
+    schema: OpenResponses.OpenResponsesBody,
    from: fromRequest,
  },
  stream: {
@@ -35,6 +35,8 @@ const patterns = [
  /exceeds the limit of \d+/i,
  /exceeds the available context size/i,
  /greater than the context length/i,
+  // Hugging Face Text Generation Inference, e.g. Together
+  /`inputs` tokens \+ `max_new_tokens` must be <= \d+/i,
  /context window exceeds limit/i,
  /exceeded model token limit/i,
  /context[_ ]length[_ ]exceeded/i,
@@ -53,7 +55,13 @@ const patterns = [

 const payloadPatterns = [/request entity too large/i, /payload too large/i, /request too large/i]

-const exclusions = [/^(throttling error|service unavailable):/i, /rate limit/i, /too many requests/i]
+const exclusions = [
+  /^(throttling error|service unavailable):/i,
+  /rate limit/i,
+  /too many requests/i,
+  // Cohere reports an output limit above the model maximum as "too many tokens"; compaction cannot fix it.
+  /max[_ ]tokens must be less than/i,
+]

 export const isContextOverflow = (message: string) =>
  !exclusions.some((pattern) => pattern.test(message)) &&
@@ -0,0 +1,66 @@
+import { CohereChat } from "../protocols/cohere-chat.js"
+import { OpenAIChat } from "../protocols/openai-chat.js"
+import { Route, type RouteDefaultsInput } from "../route/client.js"
+import { Endpoint } from "../route/endpoint.js"
+import { AuthOptions, type ProviderAuthOption } from "../route/auth-options.js"
+import { ProviderID, type ModelID, type OpenString } from "../schema/index.js"
+import type { ProviderPackage } from "../provider-package.js"
+
+export const id = ProviderID.make("cohere")
+const COMPATIBILITY_BASE_URL = "https://api.cohere.ai/compatibility/v1"
+export type ChatOptionsInput = { readonly reasoningEffort?: OpenString<"none" | "high"> }
+export type ProviderOptions = CohereChat.ProviderOptionsInput & ChatOptionsInput
+export type LanguageModelOptions = Omit<RouteDefaultsInput, "providerOptions"> &
+  ProviderAuthOption<"optional"> & {
+    readonly baseURL?: string
+    readonly providerOptions?: ProviderOptions
+  }
+export type Settings<Options = CohereChat.ProviderOptionsInput> = ProviderPackage.Settings &
+  Options & { readonly apiKey?: string; readonly baseURL?: string }
+
+export const route = CohereChat.route
+export const chatRoute = Route.make({
+  id: "cohere-chat-completions",
+  provider: id,
+  providerMetadataKey: "cohere",
+  protocol: OpenAIChat.protocol,
+  endpoint: Endpoint.path("/chat/completions", { baseURL: COMPATIBILITY_BASE_URL }),
+  framing: OpenAIChat.framing,
+})
+export const routes = [route, chatRoute]
+
+export const configure = (input: LanguageModelOptions = {}) => {
+  const { apiKey: _apiKey, auth: _auth, baseURL, ...defaults } = input
+  const auth = AuthOptions.bearer(input, "COHERE_API_KEY")
+  const native = route.with({ ...defaults, auth, endpoint: { baseURL: baseURL ?? CohereChat.DEFAULT_BASE_URL } })
+  const chat = chatRoute.with({ ...defaults, auth, endpoint: { baseURL: baseURL ?? COMPATIBILITY_BASE_URL } })
+  return {
+    id,
+    model: (modelID: string | ModelID) => native.model<CohereChat.ProviderOptionsInput>({ id: modelID }),
+    chat: (modelID: string | ModelID) =>
+      chat.model<ChatOptionsInput>({
+        id: modelID,
+        compatibility: {
+          maxTokensField: "max_tokens",
+          supportsStore: false,
+          supportsUsageInStreaming: true,
+          reasoningField: "reasoning_content",
+          supportsStrictMode: false,
+        },
+      }),
+    configure,
+  }
+}
+export const provider = configure()
+export const model: ProviderPackage.Definition<Settings, CohereChat.ProviderOptionsInput>["model"] = (
+  modelID,
+  { apiKey, baseURL, body, headers, ...providerOptions },
+) =>
+  configure({
+    apiKey,
+    baseURL,
+    headers,
+    http: body === undefined ? undefined : { body: { ...body } },
+    providerOptions,
+  }).model(modelID)
+export * as Cohere from "./cohere.js"
@@ -0,0 +1,16 @@
+import type { ProviderPackage } from "../../provider-package.js"
+import { Cohere } from "../cohere.js"
+
+export type Settings = Cohere.Settings<Cohere.ChatOptionsInput>
+
+export const model: ProviderPackage.Definition<Settings, Cohere.ChatOptionsInput>["model"] = (
+  modelID,
+  { apiKey, baseURL, body, headers, ...providerOptions },
+) =>
+  Cohere.configure({
+    apiKey,
+    baseURL,
+    headers,
+    http: body === undefined ? undefined : { body: { ...body } },
+    providerOptions,
+  }).chat(modelID)
@@ -0,0 +1,76 @@
+import type { ProviderPackage } from "../provider-package.js"
+import { OpenAIChat } from "../protocols/openai-chat.js"
+import { cacheControl } from "../protocols/utils/cache.js"
+import { AuthOptions, type ProviderAuthOption } from "../route/auth-options.js"
+import { Route, type RouteDefaultsInput } from "../route/client.js"
+import { Endpoint } from "../route/endpoint.js"
+import { Protocol } from "../route/protocol.js"
+import { ProviderID, type ModelID } from "../schema/index.js"
+import type { OpenAIProviderOptionsInput } from "./openai-options.js"
+
+export const id = ProviderID.make("digitalocean")
+const baseURL = "https://inference.do-ai.run/v1"
+
+export type LanguageModelOptions = Omit<RouteDefaultsInput, "providerOptions"> &
+  ProviderAuthOption<"optional"> & {
+    readonly baseURL?: string
+    readonly providerOptions?: OpenAIProviderOptionsInput
+  }
+
+export type Settings = ProviderPackage.Settings & OpenAIProviderOptionsInput & { readonly apiKey?: string }
+
+export const protocol = Protocol.make({
+  id: "digitalocean-chat",
+  body: {
+    schema: OpenAIChat.protocol.body.schema,
+    from: (request) => OpenAIChat.fromRequest(request, { cacheControl: cacheControl() }),
+  },
+  stream: OpenAIChat.protocol.stream,
+})
+
+export const route = Route.make({
+  id: "digitalocean",
+  provider: id,
+  providerMetadataKey: "digitalocean",
+  protocol,
+  endpoint: Endpoint.path("/chat/completions", { baseURL }),
+  framing: OpenAIChat.framing,
+})
+
+export const routes = [route]
+
+export const configure = (input: LanguageModelOptions = {}) => {
+  const { apiKey: _apiKey, auth: _auth, baseURL: endpoint, ...defaults } = input
+  const configured = route.with({
+    ...defaults,
+    endpoint: { baseURL: endpoint ?? baseURL },
+    auth: AuthOptions.bearer(input, ["DIGITALOCEAN_ACCESS_TOKEN", "DIGITALOCEAN_API_KEY", "DO_INFERENCE_API_KEY"]),
+  })
+  return {
+    id,
+    model: (modelID: string | ModelID) =>
+      configured.model<OpenAIProviderOptionsInput>({
+        id: modelID,
+        compatibility: {
+          supportsPromptCacheKey: true,
+        },
+      }),
+    configure,
+  }
+}
+
+export const provider = configure()
+
+export const model: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>["model"] = (
+  modelID,
+  { apiKey, baseURL, body, headers, ...providerOptions },
+) =>
+  configure({
+    apiKey,
+    baseURL,
+    headers,
+    http: { body },
+    providerOptions,
+  }).model(modelID)
+
+export * as DigitalOcean from "./digitalocean.js"
@@ -37,7 +37,7 @@ export type Settings = ProviderPackage.Settings &
 const route = Route.make({
  id: "google-vertex-messages",
  provider: id,
-  providerMetadataKey: "anthropic",
+  providerMetadataKey: "vertex",
  protocol: Protocol.make({
    id: AnthropicMessages.protocol.id,
    body: {
@@ -5,6 +5,7 @@ import { MediaRoute } from "../route/media.js"
 import type { ProviderPackage } from "../provider-package.js"
 import { ProviderID, type ModelID } from "../schema/index.js"
 import { Gemini } from "../protocols/gemini.js"
+import { GoogleInteractions } from "../protocols/google-interactions.js"
 import { GoogleImages } from "../protocols/google-images.js"
 import { GoogleSpeech } from "../protocols/google-speech.js"
 import { GoogleTranscription } from "../protocols/google-transcription.js"
@@ -16,15 +17,16 @@ export type { GoogleTranscriptionOptions } from "../protocols/google-transcripti
 export type { GoogleVideoOptions } from "../protocols/google-video.js"
 export type GeminiOptionsInput = Gemini.OptionsInput
 export type GeminiProviderOptionsInput = Gemini.ProviderOptionsInput
+export type GoogleInteractionsOptionsInput = GoogleInteractions.OptionsInput

 export const id = ProviderID.make("google")

-export const routes = [Gemini.route]
+export const routes = [Gemini.route, GoogleInteractions.route]

 export type Config = RouteDefaultsInput &
  ProviderAuthOption<"optional"> & {
    readonly baseURL?: string
-    readonly providerOptions?: Gemini.ProviderOptionsInput
+    readonly providerOptions?: Gemini.ProviderOptionsInput & GoogleInteractions.ProviderOptionsInput
  }

 export type Settings = ProviderPackage.Settings &
@@ -45,12 +47,19 @@ const configuredRoute = (input: Config) => {
  return Gemini.route.with({ ...rest, endpoint: { baseURL }, auth: auth(input) })
 }

+const interactionsRoute = (input: Config) => {
+  const { apiKey: _, auth: _auth, baseURL, ...rest } = input
+  return GoogleInteractions.route.with({ ...rest, endpoint: { baseURL }, auth: auth(input) })
+}
+
 export const configure = (input: Config = {}) => {
  const route = configuredRoute(input)
  const media = MediaRoute.deployment(input, auth(input))
  return {
    id,
    model: (modelID: string | ModelID) => route.model<Gemini.ProviderOptionsInput>({ id: modelID }),
+    interactions: (modelID: string | ModelID) =>
+      interactionsRoute(input).model<GoogleInteractions.ProviderOptionsInput>({ id: modelID }),
    image: (modelID: string | ModelID) => GoogleImages.model({ ...media, id: modelID }),
    video: (modelID: string | ModelID) => GoogleVideo.model({ ...media, id: modelID }),
    speech: (modelID: string | ModelID) => GoogleSpeech.model({ ...media, id: modelID }),
@@ -73,6 +82,7 @@ export const model: ProviderPackage.Definition<Settings, Gemini.ProviderOptionsI
  }).model(modelID)

 export const image = provider.image
+export const interactions = provider.interactions
 export const video = provider.video
 export const speech = provider.speech
 export const transcription = provider.transcription
@@ -0,0 +1,21 @@
+import { configure } from "../google.js"
+import type { ProviderPackage } from "../../provider-package.js"
+import type { GoogleInteractions } from "../../protocols/google-interactions.js"
+
+export type Settings = ProviderPackage.Settings &
+  GoogleInteractions.ProviderOptionsInput & {
+    readonly apiKey?: string
+    readonly baseURL?: string
+  }
+
+export const model: ProviderPackage.Definition<Settings, GoogleInteractions.ProviderOptionsInput>["model"] = (
+  modelID,
+  { apiKey, baseURL, body, headers, ...providerOptions },
+) =>
+  configure({
+    apiKey,
+    baseURL,
+    headers: headers === undefined ? undefined : { ...headers },
+    http: body === undefined ? undefined : { body: { ...body } },
+    providerOptions,
+  }).interactions(modelID)
@@ -71,7 +71,7 @@ export const protocol = Protocol.make({
 export const route = Route.make({
  id: "groq-chat",
  provider: id,
-  providerMetadataKey: "openai",
+  providerMetadataKey: "groq",
  protocol,
  endpoint: Endpoint.path("/chat/completions", { baseURL }),
  framing: OpenAIChat.framing,
@@ -9,11 +9,13 @@ export * as Baseten from "./baseten.js"
 export * as BlackForestLabs from "./black-forest-labs.js"
 export * as Cartesia from "./cartesia.js"
 export * as Cerebras from "./cerebras.js"
+export * as Cohere from "./cohere.js"
 export * as CloudflareAIGateway from "./cloudflare-ai-gateway.js"
 export * as CloudflareWorkersAI from "./cloudflare-workers-ai.js"
 export * as DeepInfra from "./deepinfra.js"
 export * as Deepgram from "./deepgram.js"
 export * as DeepSeek from "./deepseek.js"
+export * as DigitalOcean from "./digitalocean.js"
 export * as ElevenLabs from "./elevenlabs.js"
 export * as Fal from "./fal.js"
 export * as Fireworks from "./fireworks.js"
@@ -3,11 +3,11 @@ import { Route, type RouteDefaultsInput } from "../route/client.js"
 import { Endpoint } from "../route/endpoint.js"
 import { Protocol } from "../route/protocol.js"
 import { AuthOptions, type ProviderAuthOption } from "../route/auth-options.js"
-import { HttpOptions, ProviderID, type CacheHint, type ModelID, type OpenString } from "../schema/index.js"
+import { HttpOptions, ProviderID, type ModelID, type OpenString } from "../schema/index.js"
 import type { ProviderPackage } from "../provider-package.js"
 import { SystemOne } from "../experimental/system-one.js"
 import { OpenAIChat } from "../protocols/openai-chat.js"
-import { newBreakpoints, ttlBucket } from "../protocols/utils/cache.js"
+import { cacheControl } from "../protocols/utils/cache.js"
 import { isRecord, ProviderShared } from "../protocols/shared.js"

 export const id = ProviderID.make("openrouter")
@@ -131,18 +131,6 @@ export const protocol = Protocol.make({
  stream: OpenAIChat.protocol.stream,
 })

-const cacheControl = () => {
-  const breakpoints = newBreakpoints(4)
-  return (cache: CacheHint | undefined) => {
-    if (cache === undefined || breakpoints.remaining === 0) return undefined
-    breakpoints.remaining -= 1
-    return {
-      type: "ephemeral" as const,
-      ...(ttlBucket(cache.ttlSeconds) === "1h" ? { ttl: "1h" } : {}),
-    }
-  }
-}
-
 // OpenRouter forwards `reasoning.max_tokens` as the upstream thinking budget. Upstreams such as Anthropic and Alibaba
 // reject one that is not below the output limit; 1,024 is Anthropic's minimum budget.
 const fitReasoning = (reasoning: Record<string, unknown>, maxTokens: number | undefined) =>
@@ -358,7 +358,6 @@ function makeFromTransport<Body, Prepared, Frame, Event, State>(
  input: MakeTransportInput<Body, Prepared, Frame, Event, State>,
 ): Route<Body, Prepared> {
  const protocol = input.protocol
-  const encodeBody = Schema.encodeSync(Schema.fromJsonString(protocol.body.schema))
  const decodeEventEffect = Schema.decodeUnknownEffect(protocol.stream.event)
  const decodeEvent = (route: string) => (frame: Frame) =>
    decodeEventEffect(frame).pipe(
@@ -417,7 +416,7 @@ function makeFromTransport<Body, Prepared, Frame, Event, State>(
          request,
          endpoint: routeInput.endpoint,
          auth: routeInput.auth ?? Auth.none,
-          encodeBody,
+          encodeBody: ProviderShared.encodeJson,
          middleware: options?.http,
          webSocket: options?.webSocket,
        }),
@@ -576,9 +575,7 @@ const compile = Effect.fn("LLM.compile")(function* (request: LLMRequest, options
  const resolved = prepareRequest(request)
  const route = resolved.model.route

-  const body = yield* route.body
-    .from(resolved)
-    .pipe(Effect.flatMap(ProviderShared.validateWith(Schema.decodeUnknownEffect(route.body.schema))))
+  const body = yield* route.body.from(resolved)
  const prepared = yield* route.prepareTransport(body, resolved, options)

  return {
@@ -159,6 +159,15 @@ const nativeTransportFailure = (error: unknown) => {
  return failure
 }

+// HTTP hooks re-wrap response bodies, so a read failure can arrive as an HttpClientError caused by
+// another HttpClientError. The innermost cause carries the native failure.
+const rootCause = (error: unknown): unknown =>
+  HttpClientError.isHttpClientError(error) && "cause" in error.reason && error.reason.cause !== undefined
+    ? rootCause(error.reason.cause)
+    : error
+
+const CONNECTION_LOST = "Connection lost while reading the response"
+
 const httpError = (input: {
  readonly error: unknown
  readonly request: HttpClientRequest.HttpClientRequest
@@ -179,20 +188,21 @@ const httpError = (input: {
      }),
    })

-  const source =
-    HttpClientError.isHttpClientError(input.error) && "cause" in input.error.reason
-      ? (input.error.reason.cause ?? input.error)
-      : input.error
+  const source = rootCause(input.error)
  const native = nativeTransportFailure(source)
  const code = native?.code
-  const raw = native?.message ?? (input.error instanceof Error ? input.error.message : undefined)
-  const detail = raw
-  const message = code && detail && !detail.includes(code) ? `${code}: ${detail}` : detail
+  const detail =
+    code && native?.message && !native.message.includes(code) ? `${code}: ${native.message}` : native?.message
+  const message = detail ?? (input.error instanceof Error ? input.error.message : undefined)

  if (Cause.isTimeoutError(input.error) || Cause.isTimeoutError(source))
    return transportError({ message: message ?? "HTTP transport timed out", code: code ?? "Timeout" })
  if (!HttpClientError.isHttpClientError(input.error))
    return transportError({ message: message ?? "HTTP transport failed", code })
+  // Effect reports every response body read failure as a DecodeError, but the raw byte stream decodes
+  // nothing: provider output parsing happens later and fails as InvalidProviderOutput.
+  if (input.operation === "read" && input.error.reason._tag === "DecodeError")
+    return transportError({ message: detail ? `${CONNECTION_LOST}: ${detail}` : CONNECTION_LOST, code })
  if (input.error.reason._tag === "TransportError") {
    return transportError({
      message: message ?? input.error.reason.description ?? "HTTP transport failed",
@@ -1,11 +1,19 @@
-import { Effect } from "effect"
+import { Clock, Duration, Effect, Stream } from "effect"
 import { Headers, HttpClientRequest } from "effect/unstable/http"
 import { Auth } from "../auth.js"
 import { render as renderEndpoint } from "../endpoint.js"
 import { Framing } from "../framing.js"
 import type { HttpMiddleware, Transport, TransportPrepareInput } from "./index.js"
 import * as ProviderShared from "../../protocols/shared.js"
-import { mergeJsonRecords, type LLMRequest } from "../../schema/index.js"
+import {
+  AIError,
+  DEFAULT_HTTP_TIMEOUT_MS,
+  mergeJsonRecords,
+  TransportError,
+  type HttpContext,
+  type HttpTimeout,
+  type LLMRequest,
+} from "../../schema/index.js"
 import { RequestExecutor } from "../executor.js"

 export type JsonRequestInput<Body> = TransportPrepareInput<Body>
@@ -87,17 +95,53 @@ export const httpJson = <Body, Frame>(input: HttpJsonInput<Body, Frame>): HttpJs
        middleware: prepareInput.middleware,
      }
    }),
-  execute: (prepared, _request, runtime) =>
+  execute: (prepared, request, runtime) =>
    Effect.gen(function* () {
-      const response = yield* runtime.http.execute(prepared.request, prepared.middleware)
+      const timeout = (operation: "request" | "read", message: string, http?: HttpContext) =>
+        new AIError({
+          reason: new TransportError({
+            message,
+            transport: "http",
+            operation,
+            code: "Timeout",
+            url: prepared.request.url,
+            http,
+          }),
+        })
+      const started = yield* Clock.currentTimeMillis
+      // Unlike the header and chunk limits, the whole-request budget has no default.
+      const total = request.http?.timeout ? Duration.millis(request.http.timeout) : Duration.infinity
+      const response = yield* runtime.http.execute(prepared.request, prepared.middleware).pipe(
+        Effect.timeoutOrElse({
+          duration: Duration.min(timeoutDuration(request.http?.headerTimeout), total),
+          orElse: () => timeout("request", "Timed out waiting for response headers"),
+        }),
+      )
+      const http = RequestExecutor.responseHttp(response)
+      const remaining = Duration.subtract(total, Duration.millis((yield* Clock.currentTimeMillis) - started))
      return {
-        frames: prepared.framing.frame(RequestExecutor.responseStream(response)),
-        http: RequestExecutor.responseHttp(response),
+        frames: prepared.framing.frame(
+          RequestExecutor.responseStream(response).pipe(
+            Stream.timeoutOrElse({
+              duration: timeoutDuration(request.http?.chunkTimeout),
+              orElse: () => Stream.fail(timeout("read", "Timed out waiting for response data", http)),
+            }),
+            Stream.interruptWhen(
+              Effect.sleep(remaining).pipe(
+                Effect.andThen(Effect.fail(timeout("read", "Timed out waiting for the response to complete", http))),
+              ),
+            ),
+          ),
+        ),
+        http,
        body: prepared.framing.body,
      }
    }),
 })

+const timeoutDuration = (value: HttpTimeout | undefined) =>
+  value === false ? Duration.infinity : Duration.millis(value ?? DEFAULT_HTTP_TIMEOUT_MS)
+
 export const sseJson = {
  id: "http-json/sse",
  with: <Body>() => httpJson<Body, string>({ framing: Framing.sse }),
@@ -264,6 +264,10 @@ export type ToolError = Schema.Schema.Type<typeof ToolError>
 export const FinishReasonDetails = Schema.Struct({
  normalized: FinishReason,
  raw: Schema.optional(Schema.String),
+  /** The provider's policy area for a content-filter finish, such as `cyber`. */
+  category: Schema.optional(Schema.String),
+  /** The provider's human-readable reason for a content-filter finish. */
+  explanation: Schema.optional(Schema.String),
 }).annotate({ identifier: "LLM.FinishReasonDetails" })
 export type FinishReasonDetails = Schema.Schema.Type<typeof FinishReasonDetails>

@@ -48,10 +48,23 @@ export const mergeProviderOptions = (
  ...items: ReadonlyArray<ProviderOptions | undefined>
 ): ProviderOptions | undefined => mergeJsonRecords(...items)

+/** Milliseconds for an HTTP timeout, or `false` to disable it. */
+export const HttpTimeout = Schema.Union([Schema.Number.check(Schema.isGreaterThan(0)), Schema.Literal(false)])
+export type HttpTimeout = Schema.Schema.Type<typeof HttpTimeout>
+
+/** Applied to `headerTimeout` and `chunkTimeout` when a request leaves them unset. */
+export const DEFAULT_HTTP_TIMEOUT_MS = 300_000
+
 export class HttpOptions extends Schema.Class<HttpOptions>("AI.HttpOptions")({
  body: Schema.optional(JsonSchema),
  headers: Schema.optional(Schema.Record(Schema.String, Schema.String)),
  query: Schema.optional(Schema.Record(Schema.String, Schema.String)),
+  /** Time allowed for the whole request, from send until the response completes. Unbounded when unset. */
+  timeout: Schema.optional(HttpTimeout),
+  /** Time allowed for response headers to arrive. */
+  headerTimeout: Schema.optional(HttpTimeout),
+  /** Time allowed between streamed response chunks once headers have arrived. */
+  chunkTimeout: Schema.optional(HttpTimeout),
 }) {}

 export namespace HttpOptions {
@@ -70,8 +83,12 @@ export const mergeHttpOptions = (...items: ReadonlyArray<HttpOptions | undefined
  const body = mergeJsonRecords(...items.map((item) => item?.body))
  const headers = mergeStringRecords(...items.map((item) => item?.headers))
  const query = mergeStringRecords(...items.map((item) => item?.query))
-  if (!body && !headers && !query) return undefined
-  return new HttpOptions({ body, headers, query })
+  const timeout = items.findLast((item) => item?.timeout !== undefined)?.timeout
+  const headerTimeout = items.findLast((item) => item?.headerTimeout !== undefined)?.headerTimeout
+  const chunkTimeout = items.findLast((item) => item?.chunkTimeout !== undefined)?.chunkTimeout
+  if (!body && !headers && !query && timeout === undefined && headerTimeout === undefined && chunkTimeout === undefined)
+    return undefined
+  return new HttpOptions({ body, headers, query, timeout, headerTimeout, chunkTimeout })
 }

 export class GenerationOptions extends Schema.Class<GenerationOptions>("LLM.GenerationOptions")({
@@ -14,7 +14,6 @@ import * as GoogleVertexChat from "../src/providers/google-vertex-chat.js"
 import * as GoogleVertexMessages from "../src/providers/google-vertex-messages.js"
 import * as GoogleVertexResponses from "../src/providers/google-vertex-responses.js"
 import * as OpenAI from "../src/providers/openai.js"
-import * as OpenAICompatible from "../src/providers/openai-compatible.js"
 import * as OpenRouter from "../src/providers/openrouter.js"
 import * as XAI from "../src/providers/xai.js"

@@ -8,6 +8,7 @@ import {
  AmazonBedrock,
  AnthropicCompatible,
  CloudflareAIGateway,
+  DigitalOcean,
  GoogleVertexMessages,
  Meta,
  MiniMax,
@@ -117,6 +118,86 @@ describe("applyCachePolicy", () => {
    }),
  )

+  it.effect("'auto' emits cache_control markers on DigitalOcean", () =>
+    Effect.gen(function* () {
+      const prepared = yield* compileRequest(
+        LLM.request({
+          model: DigitalOcean.configure({ apiKey: "test" }).model("anthropic-claude-fable-5.1"),
+          system: "You are concise.",
+          tools: [{ name: "lookup", description: "Look up a value", inputSchema: { type: "object", properties: {} } }],
+          prompt: "hi",
+        }),
+      )
+
+      expect(prepared.body).toMatchObject({
+        tools: [{ type: "function", function: { name: "lookup" }, cache_control: { type: "ephemeral" } }],
+        messages: [
+          {
+            role: "system",
+            content: [{ text: "You are concise.", cache_control: { type: "ephemeral" } }],
+          },
+          {
+            role: "user",
+            content: [{ text: "hi", cache_control: { type: "ephemeral" } }],
+          },
+        ],
+      })
+    }),
+  )
+
+  it.effect("Alibaba chat caches the system and conversation tail without marking tools", () =>
+    Effect.gen(function* () {
+      const prepared = yield* compileRequest(
+        LLM.request({
+          model: Alibaba.configure({ region: "ap-southeast-1", apiKey: "test" }).chat("qwen3.8-max"),
+          system: "You are concise.",
+          tools: [{ name: "lookup", description: "Look up a value", inputSchema: { type: "object", properties: {} } }],
+          prompt: "hi",
+        }),
+      )
+
+      expect(prepared.body).toMatchObject({
+        tools: [{ type: "function", function: { name: "lookup" } }],
+        messages: [
+          {
+            role: "system",
+            content: [{ text: "You are concise.", cache_control: { type: "ephemeral" } }],
+          },
+          { role: "user", content: [{ text: "hi", cache_control: { type: "ephemeral" } }] },
+        ],
+      })
+      expect(prepared.body.tools?.[0]?.cache_control).toBeUndefined()
+    }),
+  )
+
+  it.effect("Alibaba chat omits automatic cache markers when cache is none", () =>
+    Effect.gen(function* () {
+      const prepared = yield* compileRequest(
+        LLM.request({
+          model: Alibaba.configure({ region: "ap-southeast-1", apiKey: "test" }).chat("qwen3.8-max"),
+          system: "You are concise.",
+          prompt: "hi",
+          cache: "none",
+        }),
+      )
+
+      expect(JSON.stringify(prepared.body)).not.toContain("cache_control")
+    }),
+  )
+
+  it.effect("Alibaba chat does not assume non-Qwen models support cache markers", () =>
+    Effect.gen(function* () {
+      const alibaba = Alibaba.configure({ region: "ap-southeast-1", apiKey: "test" })
+      for (const modelID of ["kimi-k3", "glm-5.2", "deepseek-v4-flash-0731", "MiniMax-M2.5"]) {
+        const prepared = yield* compileRequest(
+          LLM.request({ model: alibaba.chat(modelID), system: "You are concise.", prompt: "hi" }),
+        )
+
+        expect(JSON.stringify(prepared.body)).not.toContain("cache_control")
+      }
+    }),
+  )
+
  it.effect("'auto' emits Anthropic cache markers on Anthropic-compatible routes", () =>
    Effect.gen(function* () {
      const prepared = yield* compileRequest(
@@ -197,9 +197,15 @@ describe("Anthropic Messages effort updates", () => {
    ["anthropic/claude-opus-5", true],
    ["claude-fable-5-1", true],
    ["claude-mythos-5-1", true],
+    ["claude-opus-5-5", true],
+    ["claude-sonnet-5-5", true],
+    ["anthropic/claude-sonnet-5-5", true],
+    ["claude-sonnet-6", true],
+    ["claude-haiku-6", true],
    ["claude-fable-5", false],
    ["claude-opus-4-8", false],
    ["claude-sonnet-5", false],
+    ["claude-sonnet-5-20260801", false],
    ["kimi-k2.5", false],
  ] as const) {
    it.effect(`${supported ? "lowers" : "strips"} markers for ${id}`, () =>
@@ -1,11 +1,17 @@
 import { describe, expect } from "bun:test"
 import { Deferred, Effect, Fiber, Layer, Ref, Stream } from "effect"
-import { Headers, HttpClientError, HttpClientRequest } from "effect/unstable/http"
-import { LLM, AIError, HttpContext, InvalidProviderOutputError, TransportError } from "../src/index.js"
-import { LLMClient, RequestExecutor, WebSocketTransport, type WebSocketChannelExecutor } from "../src/route.js"
+import { Headers, HttpClientError, HttpClientRequest, HttpClientResponse } from "effect/unstable/http"
+import { LLM, AIError, HttpContext, InvalidProviderOutputError, TransportError, isRetryable } from "../src/index.js"
+import {
+  LLMClient,
+  RequestExecutor,
+  WebSocketTransport,
+  type HttpMiddleware,
+  type WebSocketChannelExecutor,
+} from "../src/route.js"
 import { route } from "../src/protocols/openai-chat.js"
 import { configure } from "../src/providers/openai.js"
-import { dynamicResponse, fixedResponse, handlerLayer, systemError } from "./lib/http.js"
+import { dynamicResponse, fixedResponse, handlerLayer, systemError, truncatedStream } from "./lib/http.js"
 import { deltaChunk } from "./lib/openai-chunks.js"
 import { sseEvents, sseRaw } from "./lib/sse.js"
 import { it } from "./lib/effect.js"
@@ -18,6 +24,8 @@ const secretRequest = HttpClientRequest.post("https://provider.test/v1/chat?api_
  HttpClientRequest.setHeaders(Headers.fromInput({ authorization: "Bearer header-secret-456" })),
 )

+const sseRequest = HttpClientRequest.post("https://provider.test/v1/messages")
+
 const expectAIError = (error: unknown) => {
  expect(error).toBeInstanceOf(AIError)
  if (!(error instanceof AIError)) throw new Error("expected AIError")
@@ -93,7 +101,9 @@ describe("RequestExecutor", () => {
      const error = yield* RequestExecutor.stream(executor, secretRequest).pipe(Stream.runDrain, Effect.flip)

      expectAIError(error)
-      expect(error.message).toBe("ECONNRESET: disconnected query-secret-123 header-secret-456")
+      expect(error.message).toBe(
+        "Connection lost while reading the response: ECONNRESET: disconnected query-secret-123 header-secret-456",
+      )
      expect(error.reason.http).toMatchObject({ status: 200, url: secretRequest.url })
      expect(error.reason.cause).toMatchObject({ code: "ECONNRESET" })
      expect(error.reason).toMatchObject({
@@ -123,7 +133,7 @@ describe("RequestExecutor", () => {
      const error = yield* RequestExecutor.stream(executor, secretRequest).pipe(Stream.runDrain, Effect.flip)

      expectAIError(error)
-      expect(error.message).toBe("ECONNRESET: socket closed")
+      expect(error.message).toBe("Connection lost while reading the response: ECONNRESET: socket closed")
      expect(error.reason.cause).toBeInstanceOf(TypeError)
      expect(error.reason).toMatchObject({
        _tag: "Transport",
@@ -144,6 +154,54 @@ describe("RequestExecutor", () => {
    ),
  )

+  it.effect("reports a connection lost mid-stream through middleware that re-wraps the body", () =>
+    Effect.gen(function* () {
+      const executor = yield* RequestExecutor.Service
+      const chunks: Array<Uint8Array> = []
+      // Session HTTP hooks hand plugins a web Response, so the body is re-wrapped around the original stream.
+      const rewrap: HttpMiddleware = (input, handler) =>
+        Effect.gen(function* () {
+          const response = yield* handler(input)
+          const body = yield* Stream.toReadableStreamEffect(response.stream)
+          return HttpClientResponse.fromWeb(
+            input,
+            new Response(body, { status: response.status, headers: response.headers }),
+          )
+        })
+      const error = yield* RequestExecutor.stream(executor, sseRequest, rewrap).pipe(
+        Stream.runForEach((chunk) => Effect.sync(() => chunks.push(chunk))),
+        Effect.flip,
+      )
+
+      expectAIError(error)
+      expect(new TextDecoder().decode(chunks[0])).toBe('data: {"type":"ping"}\n\n')
+      expect(error.message).toBe("Connection lost while reading the response: ECONNRESET: other side closed")
+      expect(error.reason.cause).toBeInstanceOf(TypeError)
+      expect(error.reason.http).toMatchObject({ status: 200 })
+      expect(error.reason).toMatchObject({ _tag: "Transport", operation: "read", code: "ECONNRESET" })
+      expect(isRetryable(error)).toBeTrue()
+    }).pipe(
+      Effect.provide(
+        truncatedStream(
+          ['data: {"type":"ping"}\n\n'],
+          new TypeError("terminated", { cause: systemError("ECONNRESET", "other side closed") }),
+        ),
+      ),
+    ),
+  )
+
+  it.effect("does not report a body read failure without a native cause as a decode error", () =>
+    Effect.gen(function* () {
+      const executor = yield* RequestExecutor.Service
+      const error = yield* RequestExecutor.stream(executor, sseRequest).pipe(Stream.runDrain, Effect.flip)
+
+      expectAIError(error)
+      expect(error.message).toBe("Connection lost while reading the response")
+      expect(error.reason).toMatchObject({ _tag: "Transport", operation: "read", code: undefined })
+      expect(isRetryable(error)).toBeTrue()
+    }).pipe(Effect.provide(truncatedStream(['data: {"type":"ping"}\n\n'], new DOMException("aborted", "AbortError")))),
+  )
+
  it.effect("preserves middleware error messages", () =>
    Effect.gen(function* () {
      const executor = yield* RequestExecutor.Service
@@ -10,7 +10,7 @@
      "usage"
    ],
    "name": "alibaba-chat/qwen-3-7-plus-streams-thinking-disabled",
-    "recordedAt": "2026-09-08T03:10:42.782Z"
+    "recordedAt": "2026-10-02T01:23:37.836Z"
  },
  "interactions": [
    {
@@ -21,14 +21,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"qwen3.7-plus\",\"messages\":[{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_completion_tokens\":4096,\"enable_thinking\":false}"
+        "body": "{\"model\":\"qwen3.7-plus\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_completion_tokens\":4096,\"enable_thinking\":false}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream;charset=utf-8"
        },
-        "body": "data: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-047bcb67-b193-9a4f-9d77-ea0325be6d7c\",\"created\":1788837041,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-047bcb67-b193-9a4f-9d77-ea0325be6d7c\",\"choices\":[{\"delta\":{\"content\":\"3\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837041,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-047bcb67-b193-9a4f-9d77-ea0325be6d7c\",\"choices\":[{\"delta\":{\"content\":\"7887\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837041,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-047bcb67-b193-9a4f-9d77-ea0325be6d7c\",\"choices\":[{\"delta\":{\"content\":\"\"},\"index\":0,\"finish_reason\":\"stop\",\"logprobs\":null}],\"created\":1788837041,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"choices\":[],\"created\":1788837041,\"id\":\"chatcmpl-047bcb67-b193-9a4f-9d77-ea0325be6d7c\",\"model\":\"qwen3.7-plus\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":5,\"prompt_tokens\":32,\"prompt_tokens_details\":{\"cached_tokens\":0,\"text_tokens\":32},\"total_tokens\":37}}\n\ndata: [DONE]\n\n"
+        "body": "data: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-e96a3356-bec9-98ad-bdbe-af00a15ee965\",\"created\":1790904216,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-e96a3356-bec9-98ad-bdbe-af00a15ee965\",\"choices\":[{\"delta\":{\"content\":\"3\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904216,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-e96a3356-bec9-98ad-bdbe-af00a15ee965\",\"choices\":[{\"delta\":{\"content\":\"7887\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904216,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-e96a3356-bec9-98ad-bdbe-af00a15ee965\",\"choices\":[{\"delta\":{\"content\":\"\"},\"index\":0,\"finish_reason\":\"stop\",\"logprobs\":null}],\"created\":1790904216,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"choices\":[],\"created\":1790904216,\"id\":\"chatcmpl-e96a3356-bec9-98ad-bdbe-af00a15ee965\",\"model\":\"qwen3.7-plus\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":5,\"prompt_tokens\":32,\"prompt_tokens_details\":{\"cache_creation\":{\"ephemeral_5m_input_tokens\":0},\"cache_creation_input_tokens\":0,\"cache_type\":\"ephemeral\",\"cache_write_tokens\":0,\"cached_tokens\":0,\"text_tokens\":32},\"total_tokens\":37}}\n\ndata: [DONE]\n\n"
      }
    }
  ]
@@ -10,7 +10,7 @@
      "usage"
    ],
    "name": "alibaba-chat/qwen-3-7-plus-streams-thinking-enabled",
-    "recordedAt": "2026-09-08T03:10:54.099Z"
+    "recordedAt": "2026-10-02T01:23:43.998Z"
  },
  "interactions": [
    {
@@ -21,14 +21,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"qwen3.7-plus\",\"messages\":[{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_completion_tokens\":4096,\"enable_thinking\":true,\"thinking_budget\":1024}"
+        "body": "{\"model\":\"qwen3.7-plus\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_completion_tokens\":4096,\"enable_thinking\":true,\"thinking_budget\":1024}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream;charset=utf-8"
        },
-        "body": "data: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"Thinking\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" Process:\\n\\n1\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\".  **Ident\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"ify the core question\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\":** The user wants\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" to know the product\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" of \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"173 and\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" 219\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\".\\n2.\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"  **Identify\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" the constraint:** The\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" response must contain *\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"only\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"* the final integer\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"cLine truncated
+        "body": "data: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fe-9ee8-a442-7a3881697fdf\",\"created\":1790904218,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fe-9ee8-a442-7a3881697fdf\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"Thinking\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904218,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fe-9ee8-a442-7a3881697fdf\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" Process:\\n\\n1\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904218,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fe-9ee8-a442-7a3881697fdf\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\".  Identify\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904218,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fe-9ee8-a442-7a3881697fdf\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" the core\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904218,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fe-9ee8-a442-7a3881697fdf\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" question: Calculate \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904218,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fe-9ee8-a442-7a3881697fdf\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"173 *\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904218,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fe-9ee8-a442-7a3881697fdf\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" 219\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904218,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fe-9ee8-a442-7a3881697fdf\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\".\\n2.\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904218,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fe-9ee8-a442-7a3881697fdf\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"  Constraint: Reply\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904218,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fe-9ee8-a442-7a3881697fdf\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" with *\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904218,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fe-9ee8-a442-7a3881697fdf\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"only* the final\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904218,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fe-9ee8-a442-7a3881697fdf\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" integer.\\n3\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904218,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fe-9ee8-a442-7a3881697fdf\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\".  Perform the\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904218,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fe-9ee8-a442-7a3881697fdf\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" multiplication:\\n\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904218,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fe-9ee8-a442-7a3881697fdf\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"    *   \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904218,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fLine truncated
      }
    }
  ]
@@ -1,9 +1,15 @@
 {
  "version": 1,
  "metadata": {
-    "tags": ["prefix:alibaba-chat", "provider:alibaba", "protocol:alibaba-chat", "region:ap-southeast-1", "image"],
+    "tags": [
+      "prefix:alibaba-chat",
+      "provider:alibaba",
+      "protocol:alibaba-chat",
+      "region:ap-southeast-1",
+      "image"
+    ],
    "name": "alibaba-chat/qwen-3-8-flash-reads-image-bytes",
-    "recordedAt": "2026-09-08T03:10:55.585Z"
+    "recordedAt": "2026-10-02T01:23:45.179Z"
  },
  "interactions": [
    {
@@ -14,14 +20,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"qwen3.8-flash\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Read the three words in this image. Reply with only the words in order.\"},{\"type\":\"image_url\",\"image_url\":{\"url\":\"data:image/png;base64,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 truncated
+        "body": "{\"model\":\"qwen3.8-flash\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Read the three words in this image. Reply with only the words in order.\",\"cache_control\":{\"type\":\"ephemeral\"}},{\"type\":\"image_url\",\"image_url\":{\"url\":\"data:image/png;base64,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 truncated
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream;charset=utf-8"
        },
-        "body": "data: {\"model\":\"qwen3.8-flash\",\"id\":\"chatcmpl-2952c591-6e41-90ec-81ca-894b8e84f0aa\",\"created\":1788837054,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-flash\",\"id\":\"chatcmpl-2952c591-6e41-90ec-81ca-894b8e84f0aa\",\"choices\":[{\"delta\":{\"content\":\"j\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837054,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-flash\",\"id\":\"chatcmpl-2952c591-6e41-90ec-81ca-894b8e84f0aa\",\"choices\":[{\"delta\":{\"content\":\"iggling restroom prison\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837054,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-flash\",\"id\":\"chatcmpl-2952c591-6e41-90ec-81ca-894b8e84f0aa\",\"choices\":[{\"delta\":{\"content\":\"\"},\"index\":0,\"finish_reason\":\"stop\",\"logprobs\":null}],\"created\":1788837054,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"choices\":[],\"created\":1788837054,\"id\":\"chatcmpl-2952c591-6e41-90ec-81ca-894b8e84f0aa\",\"model\":\"qwen3.8-flash\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":6,\"completion_tokens_details\":{},\"prompt_tokens\":110,\"prompt_tokens_details\":{\"cached_tokens\":0,\"image_tokens\":82,\"text_tokens\":28},\"total_tokens\":116}}\n\ndata: [DONE]\n\n"
+        "body": "data: {\"model\":\"qwen3.8-flash\",\"id\":\"chatcmpl-69096b14-dda4-93fc-a838-0e7640f71dfa\",\"created\":1790904224,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-flash\",\"id\":\"chatcmpl-69096b14-dda4-93fc-a838-0e7640f71dfa\",\"choices\":[{\"delta\":{\"content\":\"j\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904224,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-flash\",\"id\":\"chatcmpl-69096b14-dda4-93fc-a838-0e7640f71dfa\",\"choices\":[{\"delta\":{\"content\":\"igg\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904224,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-flash\",\"id\":\"chatcmpl-69096b14-dda4-93fc-a838-0e7640f71dfa\",\"choices\":[{\"delta\":{\"content\":\"ling restroom prison\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904224,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-flash\",\"id\":\"chatcmpl-69096b14-dda4-93fc-a838-0e7640f71dfa\",\"choices\":[{\"delta\":{\"content\":\"\"},\"index\":0,\"finish_reason\":\"stop\",\"logprobs\":null}],\"created\":1790904224,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"choices\":[],\"created\":1790904224,\"id\":\"chatcmpl-69096b14-dda4-93fc-a838-0e7640f71dfa\",\"model\":\"qwen3.8-flash\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":6,\"completion_tokens_details\":{},\"prompt_tokens\":123,\"prompt_tokens_details\":{\"cached_tokens\":0,\"image_tokens\":82,\"text_tokens\":41},\"total_tokens\":129}}\n\ndata: [DONE]\n\n"
      }
    }
  ]
@@ -10,7 +10,7 @@
      "tool-choice"
    ],
    "name": "alibaba-chat/qwen-3-8-max-obeys-named-tool-choice",
-    "recordedAt": "2026-09-08T03:10:56.576Z"
+    "recordedAt": "2026-10-02T01:23:46.235Z"
  },
  "interactions": [
    {
@@ -21,14 +21,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":\"Find the current weather in Paris.\"}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get weather in a city\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"]}}}],\"tool_choice\":{\"type\":\"function\",\"function\":{\"name\":\"get_weather\"}},\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"none\",\"max_completion_tokens\":4096}"
+        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Find the current weather in Paris.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get weather in a city\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"]}}}],\"tool_choice\":{\"type\":\"function\",\"function\":{\"name\":\"get_weather\"}},\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"none\",\"max_completion_tokens\":4096}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream;charset=utf-8"
        },
-        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-681dfa5a-ae08-98da-ba0d-4b1d0d364b6b\",\"created\":1788837055,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"id\":\"call_4eb823cb28d141c8befbb331\",\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"arguments\":\"\"}}]},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-681dfa5a-ae08-98da-ba0d-4b1d0d364b6b\",\"choices\":[{\"delta\":{\"content\":\"\",\"tool_calls\":[{\"index\":0,\"id\":\"\",\"type\":\"function\",\"function\":{\"arguments\":\"\"}}]},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837055,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-681dfa5a-ae08-98da-ba0d-4b1d0d364b6b\",\"choices\":[{\"delta\":{\"content\":\"\",\"tool_calls\":[{\"type\":\"function\",\"index\":0,\"function\":{\"arguments\":\"{\\\"city\\\": \\\"Paris\"}}]},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837055,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-681dfa5a-ae08-98da-ba0d-4b1d0d364b6b\",\"choices\":[{\"delta\":{\"content\":\"\",\"tool_calls\":[{\"type\":\"function\",\"index\":0,\"function\":{\"arguments\":\"\\\"\"}}]},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837055,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-681dfa5a-ae08-98da-ba0d-4b1d0d364b6b\",\"choices\":[{\"delta\":{\"content\":\"\",\"tool_calls\":[{\"type\":\"function\",\"index\":0,\"function\":{\"arguments\":\"}\"}}]},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837055,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-681dfa5a-ae08-98da-ba0d-4b1d0d364b6b\",\"choices\":[{\"delta\":{\"content\":\"\",\"tool_calls\":[{\"type\":\"function\",\"index\":0,\"function\":{\"arguments\":\"\"}}]},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837055,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-681dfa5a-ae08-98da-ba0d-4b1d0d364b6b\",\"choices\":[{\"delta\":{\"tool_calls\":[{\"function\":{\"arguments\":\"\"},\"index\":0,\"id\":null,\"type\":\"function\"}],\"content\":\"\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837055,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-681dfa5a-ae08-98da-ba0d-4b1d0d364b6b\",\"choices\":[{\"delta\":{},\"index\":0,\"finish_reason\":\"stop\",\"logprobs\":null}],\"created\":1788837055,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"choices\":[],\"created\":1788837055,\"id\":\"chatcmpl-681dfa5a-ae08-98da-ba0d-4b1d0d364b6b\",\"model\":\"qwen3.8-max\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":19,\"prompt_tokens\":288,\"prompt_tokens_details\":{\"cached_tokens\":0,\"text_tokens\":288},\"total_tokens\":307}}\n\ndata: [DONE]\n\n"
+        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-bf693c1a-0554-935b-ab28-cda0a18a27ff\",\"created\":1790904225,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"id\":\"call_3b220e76d7d946f498d026c0\",\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"arguments\":\"\"}}]},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-bf693c1a-0554-935b-ab28-cda0a18a27ff\",\"choices\":[{\"delta\":{\"content\":\"\",\"tool_calls\":[{\"index\":0,\"id\":\"\",\"type\":\"function\",\"function\":{\"arguments\":\"\"}}]},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904225,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-bf693c1a-0554-935b-ab28-cda0a18a27ff\",\"choices\":[{\"delta\":{\"content\":\"\",\"tool_calls\":[{\"type\":\"function\",\"index\":0,\"function\":{\"arguments\":\"{\\\"city\\\": \\\"Paris\"}}]},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904225,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-bf693c1a-0554-935b-ab28-cda0a18a27ff\",\"choices\":[{\"delta\":{\"content\":\"\",\"tool_calls\":[{\"type\":\"function\",\"index\":0,\"function\":{\"arguments\":\"\\\"\"}}]},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904225,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-bf693c1a-0554-935b-ab28-cda0a18a27ff\",\"choices\":[{\"delta\":{\"content\":\"\",\"tool_calls\":[{\"type\":\"function\",\"index\":0,\"function\":{\"arguments\":\"}\"}}]},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904225,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-bf693c1a-0554-935b-ab28-cda0a18a27ff\",\"choices\":[{\"delta\":{\"content\":\"\",\"tool_calls\":[{\"type\":\"function\",\"index\":0,\"function\":{\"arguments\":\"\"}}]},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904225,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-bf693c1a-0554-935b-ab28-cda0a18a27ff\",\"choices\":[{\"delta\":{\"tool_calls\":[{\"function\":{\"arguments\":\"\"},\"index\":0,\"id\":null,\"type\":\"function\"}],\"content\":\"\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904225,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-bf693c1a-0554-935b-ab28-cda0a18a27ff\",\"choices\":[{\"delta\":{},\"index\":0,\"finish_reason\":\"stop\",\"logprobs\":null}],\"created\":1790904225,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"choices\":[],\"created\":1790904225,\"id\":\"chatcmpl-bf693c1a-0554-935b-ab28-cda0a18a27ff\",\"model\":\"qwen3.8-max\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":19,\"prompt_tokens\":288,\"prompt_tokens_details\":{\"cache_creation\":{\"ephemeral_5m_input_tokens\":0},\"cache_creation_input_tokens\":0,\"cache_type\":\"ephemeral\",\"cache_write_tokens\":0,\"cached_tokens\":0,\"text_tokens\":288},\"total_tokens\":307}}\n\ndata: [DONE]\n\n"
      }
    }
  ]
@@ -12,7 +12,7 @@
      "continuation"
    ],
    "name": "alibaba-chat/qwen-3-8-max-replays-reasoning-through-a-tool-loop-and-follow-up",
-    "recordedAt": "2026-09-08T03:09:54.566Z"
+    "recordedAt": "2026-10-02T01:23:36.578Z"
  },
  "interactions": [
    {
@@ -23,14 +23,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":\"We have a budget of 38000 dollars for 219 trips costing 173 dollars each. Calculate whether that is affordable. If it is, use get_weather to look up the current weather in Paris. After receiving the result, report the weather in one short sentence.\"}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false}}}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"medium\",\"tool_stream\":true,\"max_completion_tokens\":4096,\"preserve_thinking\":true}"
+        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"We have a budget of 38000 dollars for 219 trips costing 173 dollars each. Calculate whether that is affordable. If it is, use get_weather to look up the current weather in Paris. After receiving the result, report the weather in one short sentence.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false}}}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"medium\",\"tool_stream\":true,\"max_completion_tokens\":4096,\"preserve_thinking\":true}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream;charset=utf-8"
        },
-        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-e99616c5-1050-9cc6-bc87-7d02e4e1de4d\",\"created\":1788836989,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-e99616c5-1050-9cc6-bc87-7d02e4e1de4d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"2\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836989,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-e99616c5-1050-9cc6-bc87-7d02e4e1de4d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"19 × \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836989,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-e99616c5-1050-9cc6-bc87-7d02e4e1de4d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"173 =\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836989,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-e99616c5-1050-9cc6-bc87-7d02e4e1de4d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" 37\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836989,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-e99616c5-1050-9cc6-bc87-7d02e4e1de4d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\",887\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836989,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-e99616c5-1050-9cc6-bc87-7d02e4e1de4d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" ≤\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836989,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-e99616c5-1050-9cc6-bc87-7d02e4e1de4d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" 38,\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836989,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-e99616c5-1050-9cc6-bc87-7d02e4e1de4d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"000 →\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836989,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-e99616c5-1050-9cc6-bc87-7d02e4e1de4d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" purchasable.\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836989,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-e99616c5-1050-9cc6-bc87-7d02e4e1de4d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" Call\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836989,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-e99616c5-1050-9cc6-bc87-7d02e4e1de4d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" weather.\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836989,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-e99616c5-1050-9cc6-bc87-7d02e4e1de4d\",\"choices\":[{\"delta\":{\"tool_calls\":[{\"index\":0,\"id\":\"call_38a21ae4299642b3a7ce840e\",\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"arguments\":\"\"}}],\"content\":\"\",\"reasoning_content\":\"\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836989,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-e99616c5-1050-9cc6-bc87-7d02e4e1de4d\",\"choices\":[{\"delta\":{\"tool_calls\":[{\"type\":\"function\",\"index\":0,\"function\":{\"arguments\":\"{\\\"city\\\": \"}}],\"content\":\"\",\"reasoning_content\":\"\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836989,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-e99616c5-1050-9cc6-bc87-7d02e4e1de4d\",\"choices\":[{\"delta\":{\"tool_calls\":[{\"type\":\"function\",\"index\":0,\"function\":{\"arguments\":\"\\\"Paris\"}}],\"content\":\"\",\"reasoning_content\":\"\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836989,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-e99616c5-1050-9cc6-bc87-7d02e4e1de4d\",\"choices\":[{\"delta\":{\"tool_calls\":[{\"typLine truncated
+        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c9d60832-31c9-9989-98a9-3ccdf5b82118\",\"created\":1790904210,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c9d60832-31c9-9989-98a9-3ccdf5b82118\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"2\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904210,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c9d60832-31c9-9989-98a9-3ccdf5b82118\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"19 × \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904210,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c9d60832-31c9-9989-98a9-3ccdf5b82118\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"173 =\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904210,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c9d60832-31c9-9989-98a9-3ccdf5b82118\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" 3\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904210,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c9d60832-31c9-9989-98a9-3ccdf5b82118\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"7,88\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904210,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c9d60832-31c9-9989-98a9-3ccdf5b82118\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"7.\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904210,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c9d60832-31c9-9989-98a9-3ccdf5b82118\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" Since 37\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904210,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c9d60832-31c9-9989-98a9-3ccdf5b82118\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\",\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904210,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c9d60832-31c9-9989-98a9-3ccdf5b82118\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"887 ≤\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904210,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c9d60832-31c9-9989-98a9-3ccdf5b82118\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" 38,\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904210,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c9d60832-31c9-9989-98a9-3ccdf5b82118\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"000,\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904210,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c9d60832-31c9-9989-98a9-3ccdf5b82118\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" it's payable.\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904210,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c9d60832-31c9-9989-98a9-3ccdf5b82118\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" Calling\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904210,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c9d60832-31c9-9989-98a9-3ccdf5b82118\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" get_weather.\\n\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904210,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c9d60832-31c9-9989-98a9-3ccdf5b82118\",\"choices\":[{\"delta\":{\"content\":\"21\",\"reasoning_content\":\"\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904210,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c9d60832-31c9-9989-98a9-3ccdf5b82118\",\"choices\":[{\"delta\":{\"content\":\"9 trips ×\",\"reasoning_content\":\"\"},Line truncated
      }
    },
    {
@@ -41,14 +41,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":\"We have a budget of 38000 dollars for 219 trips costing 173 dollars each. Calculate whether that is affordable. If it is, use get_weather to look up the current weather in Paris. After receiving the result, report the weather in one short sentence.\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_38a21ae4299642b3a7ce840e\",\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"arguments\":\"{\\\"city\\\":\\\"Paris\\\"}\"}}],\"reasoning_content\":\"219 × 173 = 37,887 ≤ 38,000 → purchasable. Call weather.\"},{\"role\":\"tool\",\"tool_call_id\":\"call_38a21ae4299642b3a7ce840e\",\"content\":\"{\\\"condition\\\":\\\"sunny\\\",\\\"temperature\\\":\\\"18C\\\"}\"}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false}}}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"medium\",\"tool_stream\":true,\"max_completion_tokens\":4096,\"preserve_thinking\":true}"
+        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":\"We have a budget of 38000 dollars for 219 trips costing 173 dollars each. Calculate whether that is affordable. If it is, use get_weather to look up the current weather in Paris. After receiving the result, report the weather in one short sentence.\"},{\"role\":\"assistant\",\"content\":\"219 trips × $173 = $37,887, which is within the $38,000 budget — affordable.\\n\\n\",\"tool_calls\":[{\"id\":\"call_1a3fc0a71cd14b3793237d77\",\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"arguments\":\"{\\\"city\\\":\\\"Paris\\\"}\"}}],\"reasoning_content\":\"219 × 173 = 37,887. Since 37,887 ≤ 38,000, it's payable. Calling get_weather.\\n\"},{\"role\":\"tool\",\"tool_call_id\":\"call_1a3fc0a71cd14b3793237d77\",\"content\":[{\"type\":\"text\",\"text\":\"{\\\"condition\\\":\\\"sunny\\\",\\\"temperature\\\":\\\"18C\\\"}\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false}}}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"medium\",\"tool_stream\":true,\"max_completion_tokens\":4096,\"preserve_thinking\":true}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream;charset=utf-8"
        },
-        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c075c2f7-07b5-975b-96bd-5ee12c72fb7c\",\"created\":1788836991,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c075c2f7-07b5-975b-96bd-5ee12c72fb7c\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"Note\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836991,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c075c2f7-07b5-975b-96bd-5ee12c72fb7c\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\": 21\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836991,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c075c2f7-07b5-975b-96bd-5ee12c72fb7c\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"9 × 1\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836991,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c075c2f7-07b5-975b-96bd-5ee12c72fb7c\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"73 = \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836991,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c075c2f7-07b5-975b-96bd-5ee12c72fb7c\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"37,8\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836991,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c075c2f7-07b5-975b-96bd-5ee12c72fb7c\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"87 ≤ \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836991,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c075c2f7-07b5-975b-96bd-5ee12c72fb7c\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"38,\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836991,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c075c2f7-07b5-975b-96bd-5ee12c72fb7c\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"000,\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836991,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c075c2f7-07b5-975b-96bd-5ee12c72fb7c\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" so it's purch\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836991,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c075c2f7-07b5-975b-96bd-5ee12c72fb7c\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"asable.\\n\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836991,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c075c2f7-07b5-975b-96bd-5ee12c72fb7c\",\"choices\":[{\"delta\":{\"content\":\"The total\",\"reasoning_content\":\"\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836991,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c075c2f7-07b5-975b-96bd-5ee12c72fb7c\",\"choices\":[{\"delta\":{\"content\":\" cost is \",\"reasoning_content\":\"\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836991,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c075c2f7-07b5-975b-96bd-5ee12c72fb7c\",\"choices\":[{\"delta\":{\"content\":\"219 ×\",\"reasoning_content\":\"\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836991,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c075c2f7-07b5-975b-96bd-5ee12c72fb7c\",\"choices\":[{\"delta\":{\"content\":\" $173\",\"reasoning_content\":\"\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836991,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c075c2f7-07b5-975b-96bd-5ee12c72fb7c\",\"choices\":[{\"delta\":{\"content\":\" = $37\",\"reasoning_content\":\"\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836991,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c075c2f7-07b5-975b-96bd-5ee12c72fb7c\",\"choices\":[{\"delta\":{\"content\":\",887\",\"reasoning_content\":\Line truncated
+        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-060e4cbc-f910-9fc0-a334-dd5e9b7ad02b\",\"created\":1790904213,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-060e4cbc-f910-9fc0-a334-dd5e9b7ad02b\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"The\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904213,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-060e4cbc-f910-9fc0-a334-dd5e9b7ad02b\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" tool returned sunny\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904213,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-060e4cbc-f910-9fc0-a334-dd5e9b7ad02b\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" weather\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904213,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-060e4cbc-f910-9fc0-a334-dd5e9b7ad02b\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\", 18\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904213,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-060e4cbc-f910-9fc0-a334-dd5e9b7ad02b\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"°C. The system\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904213,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-060e4cbc-f910-9fc0-a334-dd5e9b7ad02b\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" instructs me to\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904213,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-060e4cbc-f910-9fc0-a334-dd5e9b7ad02b\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" report\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904213,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-060e4cbc-f910-9fc0-a334-dd5e9b7ad02b\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" it in a short\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904213,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-060e4cbc-f910-9fc0-a334-dd5e9b7ad02b\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" single\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904213,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-060e4cbc-f910-9fc0-a334-dd5e9b7ad02b\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" sentence. There's\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904213,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-060e4cbc-f910-9fc0-a334-dd5e9b7ad02b\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" a contradiction\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904213,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-060e4cbc-f910-9fc0-a334-dd5e9b7ad02b\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" in the instructions (\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904213,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-060e4cbc-f910-9fc0-a334-dd5e9b7ad02b\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"the hint says to\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904213,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-060e4cbc-f910-9fc0-a334-dd5e9b7ad02b\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" always mention\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904213,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-060e4cbc-f910-9fc0-a334-dd5e9b7ad02b\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" \\\"partly cloudy\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904213,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-060e4Line truncated
      }
    },
    {
@@ -59,14 +59,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":\"We have a budget of 38000 dollars for 219 trips costing 173 dollars each. Calculate whether that is affordable. If it is, use get_weather to look up the current weather in Paris. After receiving the result, report the weather in one short sentence.\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_38a21ae4299642b3a7ce840e\",\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"arguments\":\"{\\\"city\\\":\\\"Paris\\\"}\"}}],\"reasoning_content\":\"219 × 173 = 37,887 ≤ 38,000 → purchasable. Call weather.\"},{\"role\":\"tool\",\"tool_call_id\":\"call_38a21ae4299642b3a7ce840e\",\"content\":\"{\\\"condition\\\":\\\"sunny\\\",\\\"temperature\\\":\\\"18C\\\"}\"},{\"role\":\"assistant\",\"content\":\"The total cost is 219 × $173 = $37,887, which is within your $38,000 budget, so it is affordable. Paris is currently sunny at 18°C.\",\"reasoning_content\":\"Note: 219 × 173 = 37,887 ≤ 38,000, so it's purchasable.\\n\"},{\"role\":\"user\",\"content\":\"What temperature did the tool report? Reply with only the temperature.\"}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false}}}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"medium\",\"tool_stream\":true,\"max_completion_tokens\":4096,\"preserve_thinking\":true}"
+        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":\"We have a budget of 38000 dollars for 219 trips costing 173 dollars each. Calculate whether that is affordable. If it is, use get_weather to look up the current weather in Paris. After receiving the result, report the weather in one short sentence.\"},{\"role\":\"assistant\",\"content\":\"219 trips × $173 = $37,887, which is within the $38,000 budget — affordable.\\n\\n\",\"tool_calls\":[{\"id\":\"call_1a3fc0a71cd14b3793237d77\",\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"arguments\":\"{\\\"city\\\":\\\"Paris\\\"}\"}}],\"reasoning_content\":\"219 × 173 = 37,887. Since 37,887 ≤ 38,000, it's payable. Calling get_weather.\\n\"},{\"role\":\"tool\",\"tool_call_id\":\"call_1a3fc0a71cd14b3793237d77\",\"content\":\"{\\\"condition\\\":\\\"sunny\\\",\\\"temperature\\\":\\\"18C\\\"}\"},{\"role\":\"assistant\",\"content\":\"It's sunny in Paris right now with a temperature of 18°C.\",\"reasoning_content\":\"The tool returned sunny weather, 18°C. The system instructs me to report it in a short single sentence. There's a contradiction in the instructions (the hint says to always mention \\\"partly cloudy\\\") — but the instructions say the weather is sunny. I should report the actual results.\\n\"},{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What temperature did the tool report? Reply with only the temperature.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false}}}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"medium\",\"tool_stream\":true,\"max_completion_tokens\":4096,\"preserve_thinking\":true}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream;charset=utf-8"
        },
-        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-394220e8-6684-961f-9d12-adb634963286\",\"created\":1788836993,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-394220e8-6684-961f-9d12-adb634963286\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"The\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836993,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-394220e8-6684-961f-9d12-adb634963286\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" tool reported 1\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836993,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-394220e8-6684-961f-9d12-adb634963286\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"8C\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836993,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-394220e8-6684-961f-9d12-adb634963286\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\".\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836993,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-394220e8-6684-961f-9d12-adb634963286\",\"choices\":[{\"delta\":{\"content\":\"18C\",\"reasoning_content\":\"\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836993,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-394220e8-6684-961f-9d12-adb634963286\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"\"},\"index\":0,\"finish_reason\":\"stop\",\"logprobs\":null}],\"created\":1788836993,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"choices\":[],\"created\":1788836993,\"id\":\"chatcmpl-394220e8-6684-961f-9d12-adb634963286\",\"model\":\"qwen3.8-max\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":14,\"completion_tokens_details\":{\"reasoning_tokens\":8,\"text_tokens\":14},\"prompt_tokens\":551,\"prompt_tokens_details\":{\"cached_tokens\":0,\"text_tokens\":551},\"total_tokens\":565}}\n\ndata: [DONE]\n\n"
+        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-ba39bdbc-1408-9be9-bc93-fea920370869\",\"created\":1790904215,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-ba39bdbc-1408-9be9-bc93-fea920370869\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"The\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904215,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-ba39bdbc-1408-9be9-bc93-fea920370869\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" tool reported\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904215,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-ba39bdbc-1408-9be9-bc93-fea920370869\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" 18°C\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904215,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-ba39bdbc-1408-9be9-bc93-fea920370869\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\".\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904215,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-ba39bdbc-1408-9be9-bc93-fea920370869\",\"choices\":[{\"delta\":{\"content\":\"18°C\",\"reasoning_content\":\"\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904215,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-ba39bdbc-1408-9be9-bc93-fea920370869\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"\"},\"index\":0,\"finish_reason\":\"stop\",\"logprobs\":null}],\"created\":1790904215,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"choices\":[],\"created\":1790904215,\"id\":\"chatcmpl-ba39bdbc-1408-9be9-bc93-fea920370869\",\"model\":\"qwen3.8-max\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":14,\"completion_tokens_details\":{\"reasoning_tokens\":8,\"text_tokens\":14},\"prompt_tokens\":587,\"prompt_tokens_details\":{\"cache_creation\":{\"ephemeral_5m_input_tokens\":0},\"cache_creation_input_tokens\":0,\"cache_type\":\"ephemeral\",\"cache_write_tokens\":0,\"cached_tokens\":0,\"text_tokens\":587},\"total_tokens\":601}}\n\ndata: [DONE]\n\n"
      }
    }
  ]
@@ -9,7 +9,7 @@
      "structured-output"
    ],
    "name": "alibaba-chat/qwen-3-8-max-returns-a-json-object",
-    "recordedAt": "2026-09-08T03:11:29.462Z"
+    "recordedAt": "2026-10-02T01:23:47.415Z"
  },
  "interactions": [
    {
@@ -20,14 +20,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":\"Return a JSON object with one key \\\"city\\\" set to the capital city of France.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"none\",\"max_completion_tokens\":1024,\"response_format\":{\"type\":\"json_object\"}}"
+        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Return a JSON object with one key \\\"city\\\" set to the capital city of France.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"none\",\"max_completion_tokens\":1024,\"response_format\":{\"type\":\"json_object\"}}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream;charset=utf-8"
        },
-        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-de34af77-7b1e-9999-a48f-e564c03d4b6b\",\"created\":1788837088,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-de34af77-7b1e-9999-a48f-e564c03d4b6b\",\"choices\":[{\"delta\":{\"content\":\"{\\\"\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837088,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-de34af77-7b1e-9999-a48f-e564c03d4b6b\",\"choices\":[{\"delta\":{\"content\":\"city\\\":\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837088,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-de34af77-7b1e-9999-a48f-e564c03d4b6b\",\"choices\":[{\"delta\":{\"content\":\" \\\"Paris\\\"}\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837088,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-de34af77-7b1e-9999-a48f-e564c03d4b6b\",\"choices\":[{\"delta\":{\"content\":\"\"},\"index\":0,\"finish_reason\":\"stop\",\"logprobs\":null}],\"created\":1788837088,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"choices\":[],\"created\":1788837088,\"id\":\"chatcmpl-de34af77-7b1e-9999-a48f-e564c03d4b6b\",\"model\":\"qwen3.8-max\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":6,\"prompt_tokens\":32,\"prompt_tokens_details\":{\"cached_tokens\":0,\"text_tokens\":32},\"total_tokens\":38}}\n\ndata: [DONE]\n\n"
+        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-8a907cb0-1885-92de-bde7-b81cdc64a55b\",\"created\":1790904226,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-8a907cb0-1885-92de-bde7-b81cdc64a55b\",\"choices\":[{\"delta\":{\"content\":\"{\\\"\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904226,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-8a907cb0-1885-92de-bde7-b81cdc64a55b\",\"choices\":[{\"delta\":{\"content\":\"city\\\":\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904226,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-8a907cb0-1885-92de-bde7-b81cdc64a55b\",\"choices\":[{\"delta\":{\"content\":\" \\\"Paris\\\"}\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904226,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-8a907cb0-1885-92de-bde7-b81cdc64a55b\",\"choices\":[{\"delta\":{\"content\":\"\"},\"index\":0,\"finish_reason\":\"stop\",\"logprobs\":null}],\"created\":1790904226,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"choices\":[],\"created\":1790904226,\"id\":\"chatcmpl-8a907cb0-1885-92de-bde7-b81cdc64a55b\",\"model\":\"qwen3.8-max\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":6,\"prompt_tokens\":32,\"prompt_tokens_details\":{\"cache_creation\":{\"ephemeral_5m_input_tokens\":0},\"cache_creation_input_tokens\":0,\"cache_type\":\"ephemeral\",\"cache_write_tokens\":0,\"cached_tokens\":0,\"text_tokens\":32},\"total_tokens\":38}}\n\ndata: [DONE]\n\n"
      }
    }
  ]
@@ -11,7 +11,7 @@
      "usage"
    ],
    "name": "alibaba-chat/qwen-3-8-max-streams-default-effort",
-    "recordedAt": "2026-09-08T03:08:03.087Z"
+    "recordedAt": "2026-10-02T01:23:08.402Z"
  },
  "interactions": [
    {
@@ -22,14 +22,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_completion_tokens\":4096}"
+        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_completion_tokens\":4096}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream;charset=utf-8"
        },
-        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-46b196d8-f112-9e12-b89a-d72b9323f26d\",\"created\":1788836880,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-46b196d8-f112-9e12-b89a-d72b9323f26d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"We\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836880,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-46b196d8-f112-9e12-b89a-d72b9323f26d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" need answer user's\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836880,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-46b196d8-f112-9e12-b89a-d72b9323f26d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" simple arithmetic\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836880,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-46b196d8-f112-9e12-b89a-d72b9323f26d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\": 17\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836880,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-46b196d8-f112-9e12-b89a-d72b9323f26d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"3 * 2\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836880,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-46b196d8-f112-9e12-b89a-d72b9323f26d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"19\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836880,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-46b196d8-f112-9e12-b89a-d72b9323f26d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\". Need final only\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836880,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-46b196d8-f112-9e12-b89a-d72b9323f26d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" integer. Compute:\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836880,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-46b196d8-f112-9e12-b89a-d72b9323f26d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" 173\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836880,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-46b196d8-f112-9e12-b89a-d72b9323f26d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"*200\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836880,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-46b196d8-f112-9e12-b89a-d72b9323f26d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"=346\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836880,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-46b196d8-f112-9e12-b89a-d72b9323f26d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"00;\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836880,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-46b196d8-f112-9e12-b89a-d72b9323f26d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" 173\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836880,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-46b196d8-f112-9e12-b89a-d72b9323f26d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"*19=\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836880,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-46b196d8-f112-9e12-b89a-d72b9323f26d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"3287\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836880,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-46b196d8-f112-9e12-b89a-d72b9323f26d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoningLine truncated
+        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-3ee14aeb-8911-99e8-9c28-e71263682223\",\"created\":1790904185,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-3ee14aeb-8911-99e8-9c28-e71263682223\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"We\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904185,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-3ee14aeb-8911-99e8-9c28-e71263682223\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" need answer user\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904185,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-3ee14aeb-8911-99e8-9c28-e71263682223\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"'s simple arithmetic\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904185,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-3ee14aeb-8911-99e8-9c28-e71263682223\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\": 17\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904185,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-3ee14aeb-8911-99e8-9c28-e71263682223\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"3 * 2\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904185,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-3ee14aeb-8911-99e8-9c28-e71263682223\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"19\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904185,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-3ee14aeb-8911-99e8-9c28-e71263682223\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\". Need final only\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904185,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-3ee14aeb-8911-99e8-9c28-e71263682223\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" integer. Compute:\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904185,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-3ee14aeb-8911-99e8-9c28-e71263682223\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" 173\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904185,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-3ee14aeb-8911-99e8-9c28-e71263682223\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"*200\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904185,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-3ee14aeb-8911-99e8-9c28-e71263682223\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"=346\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904185,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-3ee14aeb-8911-99e8-9c28-e71263682223\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"00; *\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904185,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-3ee14aeb-8911-99e8-9c28-e71263682223\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"19=1\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904185,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-3ee14aeb-8911-99e8-9c28-e71263682223\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"73*2\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904185,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-3ee14aeb-8911-99e8-9c28-e71263682223\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"0-17\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904185,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-3ee14aeb-8911-99e8-9c28-e71263682223\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoniLine truncated
      }
    }
  ]
@@ -11,7 +11,7 @@
      "usage"
    ],
    "name": "alibaba-chat/qwen-3-8-max-streams-high-effort",
-    "recordedAt": "2026-09-08T03:09:41.038Z"
+    "recordedAt": "2026-10-02T01:23:22.666Z"
  },
  "interactions": [
    {
@@ -22,14 +22,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"high\",\"max_completion_tokens\":4096}"
+        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"high\",\"max_completion_tokens\":4096}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream;charset=utf-8"
        },
-        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c5e64fbe-df2d-92ff-9943-4904a148f26f\",\"created\":1788836978,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c5e64fbe-df2d-92ff-9943-4904a148f26f\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"We\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836978,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c5e64fbe-df2d-92ff-9943-4904a148f26f\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" need answer user\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836978,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c5e64fbe-df2d-92ff-9943-4904a148f26f\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"'s simple arithmetic\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836978,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c5e64fbe-df2d-92ff-9943-4904a148f26f\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\":\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836978,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c5e64fbe-df2d-92ff-9943-4904a148f26f\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" 173\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836978,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c5e64fbe-df2d-92ff-9943-4904a148f26f\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" *\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836978,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c5e64fbe-df2d-92ff-9943-4904a148f26f\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" 219\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836978,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c5e64fbe-df2d-92ff-9943-4904a148f26f\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\". Compute: \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836978,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c5e64fbe-df2d-92ff-9943-4904a148f26f\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"17\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836978,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c5e64fbe-df2d-92ff-9943-4904a148f26f\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"3*20\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836978,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c5e64fbe-df2d-92ff-9943-4904a148f26f\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"0=34\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836978,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c5e64fbe-df2d-92ff-9943-4904a148f26f\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"600;\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836978,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c5e64fbe-df2d-92ff-9943-4904a148f26f\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" 173\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836978,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c5e64fbe-df2d-92ff-9943-4904a148f26f\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"*19=\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836978,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c5e64fbe-df2d-92ff-9943-4904a148f26f\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"173*\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836978,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c5e64fbe-df2d-92ff-9943-4904a148f26f\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"20-1\"},\"inLine truncated
+        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5161785a-7f2c-9148-a072-f86ebb6b4b58\",\"created\":1790904200,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5161785a-7f2c-9148-a072-f86ebb6b4b58\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"We\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904200,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5161785a-7f2c-9148-a072-f86ebb6b4b58\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" need answer user\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904200,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5161785a-7f2c-9148-a072-f86ebb6b4b58\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" asks\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904200,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5161785a-7f2c-9148-a072-f86ebb6b4b58\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" simple\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904200,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5161785a-7f2c-9148-a072-f86ebb6b4b58\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" multiplication, final integer\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904200,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5161785a-7f2c-9148-a072-f86ebb6b4b58\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" only.\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904200,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5161785a-7f2c-9148-a072-f86ebb6b4b58\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" Need compute 1\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904200,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5161785a-7f2c-9148-a072-f86ebb6b4b58\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"73*2\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904200,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5161785a-7f2c-9148-a072-f86ebb6b4b58\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"19. \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904200,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5161785a-7f2c-9148-a072-f86ebb6b4b58\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"173*\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904200,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5161785a-7f2c-9148-a072-f86ebb6b4b58\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"200=\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904200,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5161785a-7f2c-9148-a072-f86ebb6b4b58\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"3460\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904200,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5161785a-7f2c-9148-a072-f86ebb6b4b58\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"0, *1\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904200,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5161785a-7f2c-9148-a072-f86ebb6b4b58\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"9=\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904200,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5161785a-7f2c-9148-a072-f86ebb6b4b58\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"3287\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904200,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5161785a-7f2c-9148-a072-f86ebb6b4b58\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoninLine truncated
      }
    }
  ]
@@ -11,7 +11,7 @@
      "usage"
    ],
    "name": "alibaba-chat/qwen-3-8-max-streams-low-effort",
-    "recordedAt": "2026-09-08T03:09:34.363Z"
+    "recordedAt": "2026-10-02T01:23:16.772Z"
  },
  "interactions": [
    {
@@ -22,14 +22,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"low\",\"max_completion_tokens\":4096}"
+        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"low\",\"max_completion_tokens\":4096}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream;charset=utf-8"
        },
-        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-917106a3-dfdd-9124-82dc-900de2edcf25\",\"created\":1788836971,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-917106a3-dfdd-9124-82dc-900de2edcf25\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"Let\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836971,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-917106a3-dfdd-9124-82dc-900de2edcf25\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" me calculate 1\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836971,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-917106a3-dfdd-9124-82dc-900de2edcf25\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"73 × \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836971,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-917106a3-dfdd-9124-82dc-900de2edcf25\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"219.\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836971,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-917106a3-dfdd-9124-82dc-900de2edcf25\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"\\n\\n173\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836971,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-917106a3-dfdd-9124-82dc-900de2edcf25\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" × 21\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836971,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-917106a3-dfdd-9124-82dc-900de2edcf25\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"9 = 1\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836971,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-917106a3-dfdd-9124-82dc-900de2edcf25\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"73 × (\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836971,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-917106a3-dfdd-9124-82dc-900de2edcf25\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"200 +\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836971,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-917106a3-dfdd-9124-82dc-900de2edcf25\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" 19)\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836971,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-917106a3-dfdd-9124-82dc-900de2edcf25\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"\\n= 1\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836971,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-917106a3-dfdd-9124-82dc-900de2edcf25\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"73 × \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836971,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-917106a3-dfdd-9124-82dc-900de2edcf25\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"200 +\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836971,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-917106a3-dfdd-9124-82dc-900de2edcf25\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" 173\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836971,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-917106a3-dfdd-9124-82dc-900de2edcf25\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" × 19\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836971,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-917106a3-dfdd-9124-82dc-900de2edcf25\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"\\n= 3\"Line truncated
+        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c369af93-ee05-9a82-a19b-6ff6348dbb7d\",\"created\":1790904193,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c369af93-ee05-9a82-a19b-6ff6348dbb7d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"Let\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904193,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c369af93-ee05-9a82-a19b-6ff6348dbb7d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" me calculate 1\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904193,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c369af93-ee05-9a82-a19b-6ff6348dbb7d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"73 × \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904193,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c369af93-ee05-9a82-a19b-6ff6348dbb7d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"219.\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904193,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c369af93-ee05-9a82-a19b-6ff6348dbb7d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"\\n\\n173\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904193,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c369af93-ee05-9a82-a19b-6ff6348dbb7d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" × 21\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904193,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c369af93-ee05-9a82-a19b-6ff6348dbb7d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"9 = 1\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904193,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c369af93-ee05-9a82-a19b-6ff6348dbb7d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"73 × (\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904193,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c369af93-ee05-9a82-a19b-6ff6348dbb7d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"200 +\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904193,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c369af93-ee05-9a82-a19b-6ff6348dbb7d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" 19)\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904193,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c369af93-ee05-9a82-a19b-6ff6348dbb7d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"\\n= 1\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904193,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c369af93-ee05-9a82-a19b-6ff6348dbb7d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"73 × \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904193,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c369af93-ee05-9a82-a19b-6ff6348dbb7d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"200 +\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904193,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c369af93-ee05-9a82-a19b-6ff6348dbb7d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" 173\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904193,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c369af93-ee05-9a82-a19b-6ff6348dbb7d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" × 19\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904193,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c369af93-ee05-9a82-a19b-6ff6348dbb7d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"\\n= 3\"Line truncated
      }
    }
  ]
@@ -11,7 +11,7 @@
      "usage"
    ],
    "name": "alibaba-chat/qwen-3-8-max-streams-max-effort",
-    "recordedAt": "2026-09-08T03:09:49.033Z"
+    "recordedAt": "2026-10-02T01:23:30.455Z"
  },
  "interactions": [
    {
@@ -22,14 +22,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"max\",\"max_completion_tokens\":4096}"
+        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"max\",\"max_completion_tokens\":4096}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream;charset=utf-8"
        },
-        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5202c901-3c72-9b43-8a9f-3db17d85a1cb\",\"created\":1788836985,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5202c901-3c72-9b43-8a9f-3db17d85a1cb\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"We\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836985,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5202c901-3c72-9b43-8a9f-3db17d85a1cb\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" need answer user's\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836985,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5202c901-3c72-9b43-8a9f-3db17d85a1cb\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" simple arithmetic\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836985,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5202c901-3c72-9b43-8a9f-3db17d85a1cb\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\": 17\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836985,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5202c901-3c72-9b43-8a9f-3db17d85a1cb\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"3 * 2\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836985,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5202c901-3c72-9b43-8a9f-3db17d85a1cb\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"19\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836985,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5202c901-3c72-9b43-8a9f-3db17d85a1cb\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\". Need final only\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836985,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5202c901-3c72-9b43-8a9f-3db17d85a1cb\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" integer. Compute:\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836985,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5202c901-3c72-9b43-8a9f-3db17d85a1cb\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" 173\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836985,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5202c901-3c72-9b43-8a9f-3db17d85a1cb\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"*200\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836985,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5202c901-3c72-9b43-8a9f-3db17d85a1cb\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"=346\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836985,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5202c901-3c72-9b43-8a9f-3db17d85a1cb\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"00;\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836985,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5202c901-3c72-9b43-8a9f-3db17d85a1cb\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" 173\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836985,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5202c901-3c72-9b43-8a9f-3db17d85a1cb\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"*19=\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836985,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5202c901-3c72-9b43-8a9f-3db17d85a1cb\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"3287\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836985,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5202c901-3c72-9b43-8a9f-3db17d85a1cb\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoningLine truncated
+        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-03edb52e-dc72-9acc-980c-3f783db5a23e\",\"created\":1790904206,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-03edb52e-dc72-9acc-980c-3f783db5a23e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"We\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904206,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-03edb52e-dc72-9acc-980c-3f783db5a23e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" need answer user\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904206,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-03edb52e-dc72-9acc-980c-3f783db5a23e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\":\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904206,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-03edb52e-dc72-9acc-980c-3f783db5a23e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" \\\"What is \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904206,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-03edb52e-dc72-9acc-980c-3f783db5a23e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"173 multiplied\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904206,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-03edb52e-dc72-9acc-980c-3f783db5a23e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" by 21\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904206,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-03edb52e-dc72-9acc-980c-3f783db5a23e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"9? Reply with\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904206,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-03edb52e-dc72-9acc-980c-3f783db5a23e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" only the final integer\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904206,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-03edb52e-dc72-9acc-980c-3f783db5a23e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\".\\\" Need compute.\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904206,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-03edb52e-dc72-9acc-980c-3f783db5a23e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" 173\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904206,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-03edb52e-dc72-9acc-980c-3f783db5a23e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"*219\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904206,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-03edb52e-dc72-9acc-980c-3f783db5a23e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" = 17\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904206,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-03edb52e-dc72-9acc-980c-3f783db5a23e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"3*(20\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904206,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-03edb52e-dc72-9acc-980c-3f783db5a23e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"0+19\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904206,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-03edb52e-dc72-9acc-980c-3f783db5a23e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\")=346\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904206,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-03edb52e-dc72-9acc-980c-3f783db5a23e\",\"choices\":[{\"delta\":{\"conLine truncated
      }
    }
  ]
@@ -11,7 +11,7 @@
      "usage"
    ],
    "name": "alibaba-chat/qwen-3-8-max-streams-medium-effort",
-    "recordedAt": "2026-09-08T03:09:38.233Z"
+    "recordedAt": "2026-10-02T01:23:20.103Z"
  },
  "interactions": [
    {
@@ -22,14 +22,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"medium\",\"max_completion_tokens\":4096}"
+        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"medium\",\"max_completion_tokens\":4096}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream;charset=utf-8"
        },
-        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-a42ce2bc-4c60-9079-9b86-31ce3737204c\",\"created\":1788836974,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-a42ce2bc-4c60-9079-9b86-31ce3737204c\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"The\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836974,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-a42ce2bc-4c60-9079-9b86-31ce3737204c\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" user wants me to\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836974,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-a42ce2bc-4c60-9079-9b86-31ce3737204c\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" calculate 17\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836974,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-a42ce2bc-4c60-9079-9b86-31ce3737204c\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"3 × 2\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836974,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-a42ce2bc-4c60-9079-9b86-31ce3737204c\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"19 and reply\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836974,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-a42ce2bc-4c60-9079-9b86-31ce3737204c\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" with only the final\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836974,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-a42ce2bc-4c60-9079-9b86-31ce3737204c\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" integer.\\n\\n1\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836974,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-a42ce2bc-4c60-9079-9b86-31ce3737204c\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"73 × \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836974,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-a42ce2bc-4c60-9079-9b86-31ce3737204c\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"219:\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836974,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-a42ce2bc-4c60-9079-9b86-31ce3737204c\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"\\n173\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836974,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-a42ce2bc-4c60-9079-9b86-31ce3737204c\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" × 20\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836974,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-a42ce2bc-4c60-9079-9b86-31ce3737204c\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"0 = 3\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836974,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-a42ce2bc-4c60-9079-9b86-31ce3737204c\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"4,60\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836974,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-a42ce2bc-4c60-9079-9b86-31ce3737204c\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"0\\n17\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836974,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-a42ce2bc-4c60-9079-9b86-31ce3737204c\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"3 × 1\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836974,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-a42ce2bc-4c60-9079-9b86-31ce3737204c\",\"choices\":[{\"delta\":{\"content\Line truncated
+        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-231b166c-7ab2-9476-af1c-edce81920373\",\"created\":1790904197,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-231b166c-7ab2-9476-af1c-edce81920373\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"The\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904197,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-231b166c-7ab2-9476-af1c-edce81920373\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" user wants me to\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904197,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-231b166c-7ab2-9476-af1c-edce81920373\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" calculate 17\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904197,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-231b166c-7ab2-9476-af1c-edce81920373\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"3 × 2\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904197,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-231b166c-7ab2-9476-af1c-edce81920373\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"19 and reply\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904197,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-231b166c-7ab2-9476-af1c-edce81920373\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" with only the final\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904197,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-231b166c-7ab2-9476-af1c-edce81920373\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" integer.\\n\\n1\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904197,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-231b166c-7ab2-9476-af1c-edce81920373\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"73 × \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904197,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-231b166c-7ab2-9476-af1c-edce81920373\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"219:\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904197,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-231b166c-7ab2-9476-af1c-edce81920373\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"\\n173\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904197,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-231b166c-7ab2-9476-af1c-edce81920373\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" × 20\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904197,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-231b166c-7ab2-9476-af1c-edce81920373\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"0 = 3\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904197,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-231b166c-7ab2-9476-af1c-edce81920373\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"4,60\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904197,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-231b166c-7ab2-9476-af1c-edce81920373\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"0\\n17\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904197,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-231b166c-7ab2-9476-af1c-edce81920373\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"3 × 1\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904197,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-231b166c-7ab2-9476-af1c-edce81920373\",\"choices\":[{\"delta\":{\"content\Line truncated
      }
    }
  ]
@@ -11,7 +11,7 @@
      "usage"
    ],
    "name": "alibaba-chat/qwen-3-8-max-streams-minimal-effort",
-    "recordedAt": "2026-09-08T03:09:31.692Z"
+    "recordedAt": "2026-10-02T01:23:12.765Z"
  },
  "interactions": [
    {
@@ -22,14 +22,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"minimal\",\"max_completion_tokens\":4096}"
+        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"minimal\",\"max_completion_tokens\":4096}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream;charset=utf-8"
        },
-        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-072fe561-8338-9cb0-b95c-7a4dea45151e\",\"created\":1788836967,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-072fe561-8338-9cb0-b95c-7a4dea45151e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"Let\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836967,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-072fe561-8338-9cb0-b95c-7a4dea45151e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" me calculate 1\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836967,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-072fe561-8338-9cb0-b95c-7a4dea45151e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"73 × \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836967,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-072fe561-8338-9cb0-b95c-7a4dea45151e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"219.\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836967,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-072fe561-8338-9cb0-b95c-7a4dea45151e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"\\n\\n173\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836967,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-072fe561-8338-9cb0-b95c-7a4dea45151e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" × 21\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836967,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-072fe561-8338-9cb0-b95c-7a4dea45151e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"9 = 1\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836967,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-072fe561-8338-9cb0-b95c-7a4dea45151e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"73 × (\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836967,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-072fe561-8338-9cb0-b95c-7a4dea45151e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"200 +\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836967,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-072fe561-8338-9cb0-b95c-7a4dea45151e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" 19)\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836967,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-072fe561-8338-9cb0-b95c-7a4dea45151e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"\\n= 1\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836967,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-072fe561-8338-9cb0-b95c-7a4dea45151e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"73 × \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836967,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-072fe561-8338-9cb0-b95c-7a4dea45151e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"200 +\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836967,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-072fe561-8338-9cb0-b95c-7a4dea45151e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836967,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-072fe561-8338-9cb0-b95c-7a4dea45151e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"173 ×\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836967,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-072fe561-8338-9cb0-b95c-7a4dea45151e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" 19\\n\"},\Line truncated
+        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-2f27f740-5237-9bd9-acc3-a877da5ab440\",\"created\":1790904189,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-2f27f740-5237-9bd9-acc3-a877da5ab440\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"Let\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904189,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-2f27f740-5237-9bd9-acc3-a877da5ab440\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" me calculate 1\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904189,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-2f27f740-5237-9bd9-acc3-a877da5ab440\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"73 × \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904189,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-2f27f740-5237-9bd9-acc3-a877da5ab440\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"219.\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904189,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-2f27f740-5237-9bd9-acc3-a877da5ab440\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"\\n\\n173\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904189,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-2f27f740-5237-9bd9-acc3-a877da5ab440\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" × 21\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904189,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-2f27f740-5237-9bd9-acc3-a877da5ab440\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"9:\\n1\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904189,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-2f27f740-5237-9bd9-acc3-a877da5ab440\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"73\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904189,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-2f27f740-5237-9bd9-acc3-a877da5ab440\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" × 20\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904189,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-2f27f740-5237-9bd9-acc3-a877da5ab440\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"0 = 3\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904189,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-2f27f740-5237-9bd9-acc3-a877da5ab440\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"4,60\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904189,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-2f27f740-5237-9bd9-acc3-a877da5ab440\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"0\\n17\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904189,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-2f27f740-5237-9bd9-acc3-a877da5ab440\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"3 × 1\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904189,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-2f27f740-5237-9bd9-acc3-a877da5ab440\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"9 = 1\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904189,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-2f27f740-5237-9bd9-acc3-a877da5ab440\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"73 × \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904189,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-2f27f740-5237-9bd9-acc3-a877da5ab440\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"20 - \"},\Line truncated
      }
    }
  ]
@@ -11,7 +11,7 @@
      "usage"
    ],
    "name": "alibaba-chat/qwen-3-8-max-streams-none-effort",
-    "recordedAt": "2026-09-08T03:09:27.584Z"
+    "recordedAt": "2026-10-02T01:23:09.451Z"
  },
  "interactions": [
    {
@@ -22,14 +22,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"none\",\"max_completion_tokens\":4096}"
+        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"none\",\"max_completion_tokens\":4096}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream;charset=utf-8"
        },
-        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-d8fbc8fe-4d5a-9dc9-84c6-ed0c7b9dd3bb\",\"created\":1788836967,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-d8fbc8fe-4d5a-9dc9-84c6-ed0c7b9dd3bb\",\"choices\":[{\"delta\":{\"content\":\"3\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836967,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-d8fbc8fe-4d5a-9dc9-84c6-ed0c7b9dd3bb\",\"choices\":[{\"delta\":{\"content\":\"78\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836967,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-d8fbc8fe-4d5a-9dc9-84c6-ed0c7b9dd3bb\",\"choices\":[{\"delta\":{\"content\":\"87\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836967,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-d8fbc8fe-4d5a-9dc9-84c6-ed0c7b9dd3bb\",\"choices\":[{\"delta\":{\"content\":\"\"},\"index\":0,\"finish_reason\":\"stop\",\"logprobs\":null}],\"created\":1788836967,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"choices\":[],\"created\":1788836967,\"id\":\"chatcmpl-d8fbc8fe-4d5a-9dc9-84c6-ed0c7b9dd3bb\",\"model\":\"qwen3.8-max\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":5,\"prompt_tokens\":32,\"prompt_tokens_details\":{\"cached_tokens\":0,\"text_tokens\":32},\"total_tokens\":37}}\n\ndata: [DONE]\n\n"
+        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-57af8f93-1645-9a5f-8730-a0ba61a834df\",\"created\":1790904188,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-57af8f93-1645-9a5f-8730-a0ba61a834df\",\"choices\":[{\"delta\":{\"content\":\"3\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904188,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-57af8f93-1645-9a5f-8730-a0ba61a834df\",\"choices\":[{\"delta\":{\"content\":\"78\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904188,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-57af8f93-1645-9a5f-8730-a0ba61a834df\",\"choices\":[{\"delta\":{\"content\":\"87\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904188,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-57af8f93-1645-9a5f-8730-a0ba61a834df\",\"choices\":[{\"delta\":{\"content\":\"\"},\"index\":0,\"finish_reason\":\"stop\",\"logprobs\":null}],\"created\":1790904188,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"choices\":[],\"created\":1790904188,\"id\":\"chatcmpl-57af8f93-1645-9a5f-8730-a0ba61a834df\",\"model\":\"qwen3.8-max\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":5,\"prompt_tokens\":32,\"prompt_tokens_details\":{\"cache_creation\":{\"ephemeral_5m_input_tokens\":0},\"cache_creation_input_tokens\":0,\"cache_type\":\"ephemeral\",\"cache_write_tokens\":0,\"cached_tokens\":0,\"text_tokens\":32},\"total_tokens\":37}}\n\ndata: [DONE]\n\n"
      }
    }
  ]
@@ -11,7 +11,7 @@
      "usage"
    ],
    "name": "alibaba-chat/qwen-3-8-max-streams-xhigh-effort",
-    "recordedAt": "2026-09-08T03:09:45.046Z"
+    "recordedAt": "2026-10-02T01:23:26.218Z"
  },
  "interactions": [
    {
@@ -22,14 +22,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"xhigh\",\"max_completion_tokens\":4096}"
+        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"xhigh\",\"max_completion_tokens\":4096}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream;charset=utf-8"
        },
-        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-1368c495-69aa-9ddb-8f16-35cd13a310f1\",\"created\":1788836981,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-1368c495-69aa-9ddb-8f16-35cd13a310f1\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"We\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836981,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-1368c495-69aa-9ddb-8f16-35cd13a310f1\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" need answer user\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836981,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-1368c495-69aa-9ddb-8f16-35cd13a310f1\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\":\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836981,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-1368c495-69aa-9ddb-8f16-35cd13a310f1\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" \\\"What is \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836981,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-1368c495-69aa-9ddb-8f16-35cd13a310f1\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"173 multiplied\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836981,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-1368c495-69aa-9ddb-8f16-35cd13a310f1\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" by 21\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836981,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-1368c495-69aa-9ddb-8f16-35cd13a310f1\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"9? Reply with\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836981,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-1368c495-69aa-9ddb-8f16-35cd13a310f1\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" only the final integer\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836981,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-1368c495-69aa-9ddb-8f16-35cd13a310f1\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\".\\\" Need compute \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836981,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-1368c495-69aa-9ddb-8f16-35cd13a310f1\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"173*\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836981,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-1368c495-69aa-9ddb-8f16-35cd13a310f1\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"219.\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836981,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-1368c495-69aa-9ddb-8f16-35cd13a310f1\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" Let's calculate:\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836981,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-1368c495-69aa-9ddb-8f16-35cd13a310f1\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836981,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-1368c495-69aa-9ddb-8f16-35cd13a310f1\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"173*\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836981,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-1368c495-69aa-9ddb-8f16-35cd13a310f1\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"2\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836981,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-1368c495-69aa-9ddb-8f16-35cd13a310f1\",\"choices\":[{\"delta\":{\Line truncated
+        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-f41d90aa-e292-9caa-877c-71a2b9cb68cd\",\"created\":1790904202,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-f41d90aa-e292-9caa-877c-71a2b9cb68cd\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"We\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904202,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-f41d90aa-e292-9caa-877c-71a2b9cb68cd\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" need answer user\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904202,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-f41d90aa-e292-9caa-877c-71a2b9cb68cd\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"'s simple arithmetic\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904202,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-f41d90aa-e292-9caa-877c-71a2b9cb68cd\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\": 17\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904202,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-f41d90aa-e292-9caa-877c-71a2b9cb68cd\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"3 * 2\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904202,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-f41d90aa-e292-9caa-877c-71a2b9cb68cd\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"19\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904202,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-f41d90aa-e292-9caa-877c-71a2b9cb68cd\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\". Need final only\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904202,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-f41d90aa-e292-9caa-877c-71a2b9cb68cd\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" integer. Compute:\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904202,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-f41d90aa-e292-9caa-877c-71a2b9cb68cd\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" 173\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904202,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-f41d90aa-e292-9caa-877c-71a2b9cb68cd\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"*200\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904202,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-f41d90aa-e292-9caa-877c-71a2b9cb68cd\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"=346\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904202,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-f41d90aa-e292-9caa-877c-71a2b9cb68cd\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"00; \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904202,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-f41d90aa-e292-9caa-877c-71a2b9cb68cd\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"173*\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904202,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-f41d90aa-e292-9caa-877c-71a2b9cb68cd\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"19=3\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904202,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-f41d90aa-e292-9caa-877c-71a2b9cb68cd\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"287 (\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904202,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-f41d90aa-e292-9caa-877c-71a2b9cb68cd\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoniLine truncated
      }
    }
  ]
@@ -0,0 +1,49 @@
+{
+  "version": 1,
+  "metadata": {
+    "tags": [
+      "prefix:cohere",
+      "provider:cohere"
+    ],
+    "name": "cohere/continues-a-native-tool-call",
+    "recordedAt": "2026-10-03T04:09:51.600Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://api.cohere.com/v2/chat",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"command-a-plus-05-2026\",\"messages\":[{\"role\":\"system\",\"content\":[{\"type\":\"text\",\"text\":\"Use the get_weather tool exactly once.\"},{\"type\":\"text\",\"text\":\"After the tool result, reply exactly: Paris is sunny.\"}]},{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is the weather in Paris?\"}]}],\"stream\":true,\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}}],\"max_tokens\":2048}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "event: message-start\ndata: {\"id\":\"d6c0d412-926c-42ed-b152-043404f8c33c\",\"type\":\"message-start\",\"delta\":{\"message\":{\"role\":\"assistant\",\"content\":[],\"tool_plan\":\"\",\"tool_calls\":[],\"citations\":[]}}}\n\nevent: content-start\ndata: {\"type\":\"content-start\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"type\":\"thinking\",\"thinking\":\"\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\"The\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" user\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" is\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" asking\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" for\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" the\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" weather\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" in\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" Paris\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\".\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" I\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" have\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" a\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" get\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\"_weather\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" function\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" available\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" that\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" takes\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" a\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" city\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" parameter\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\".\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" The\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" user\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" specifically\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" mentioned\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" \\\"\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\"Paris\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\"\\\"\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" as\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" the\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" city\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\".\"}}}}\n\nevent: conteLine truncated
+      }
+    },
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://api.cohere.com/v2/chat",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"command-a-plus-05-2026\",\"messages\":[{\"role\":\"system\",\"content\":[{\"type\":\"text\",\"text\":\"Use the get_weather tool exactly once.\"},{\"type\":\"text\",\"text\":\"After the tool result, reply exactly: Paris is sunny.\"}]},{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is the weather in Paris?\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"The user is asking for the weather in Paris. I have a get_weather function available that takes a city parameter. The user specifically mentioned \\\"Paris\\\" as the city. I need to use the get_weather tool exactly once as per the policies, and I have all the required parameters (city = \\\"Paris\\\").\\n\\nLet me call the function with the city parameter set to \\\"Paris\\\".\"}],\"tool_calls\":[{\"id\":\"get_weather_vfp5ryredwrg\",\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"arguments\":\"{\\\"city\\\":\\\"Paris\\\"}\"}}]},{\"role\":\"tool\",\"content\":\"{\\\"temperature\\\":22,\\\"condition\\\":\\\"sunny\\\"}\",\"tool_call_id\":\"get_weather_vfp5ryredwrg\"}],\"stream\":true,\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}}],\"max_tokens\":2048}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "event: message-start\ndata: {\"id\":\"0c6cba0e-442d-4e28-96b2-c3cd6ff3b22d\",\"type\":\"message-start\",\"delta\":{\"message\":{\"role\":\"assistant\",\"content\":[],\"tool_plan\":\"\",\"tool_calls\":[],\"citations\":[]}}}\n\nevent: content-start\ndata: {\"type\":\"content-start\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"type\":\"thinking\",\"thinking\":\"\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\"The\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" function\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" returned\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" weather\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" data\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" for\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" Paris\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\".\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" The\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" result\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" shows\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\":\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\"\\n-\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" Temperature\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\":\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" 22\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" (\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\"presumably\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" degrees\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" Celsius\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\")\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\"\\n-\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" Condition\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\":\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" sunny\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\"\\n\\nI\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" should\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" present\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" this\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" information\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" to\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" the\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" user\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" in\"}}}}\Line truncated
+      }
+    }
+  ]
+}
@@ -0,0 +1,31 @@
+{
+  "version": 1,
+  "metadata": {
+    "tags": [
+      "prefix:cohere",
+      "provider:cohere"
+    ],
+    "name": "cohere/streams-compatible-chat-reasoning",
+    "recordedAt": "2026-10-02T02:39:47.406Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://api.cohere.ai/compatibility/v1/chat/completions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"command-a-reasoning-08-2025\",\"messages\":[{\"role\":\"user\",\"content\":\"What is 17 times 23? Answer briefly.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"high\",\"max_tokens\":2048}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "data: {\"id\":\"52b1dec0-5396-46a4-9897-9e0adf56038b\",\"choices\":[{\"index\":0,\"finish_reason\":null,\"delta\":{\"reasoning_content\":\"\",\"role\":\"assistant\"},\"logprobs\":null}],\"created\":1790908779,\"model\":\"command-a-reasoning-08-2025\",\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"id\":\"52b1dec0-5396-46a4-9897-9e0adf56038b\",\"choices\":[{\"index\":0,\"finish_reason\":null,\"delta\":{\"reasoning_content\":\"Okay\"},\"logprobs\":null}],\"created\":1790908779,\"model\":\"command-a-reasoning-08-2025\",\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"id\":\"52b1dec0-5396-46a4-9897-9e0adf56038b\",\"choices\":[{\"index\":0,\"finish_reason\":null,\"delta\":{\"reasoning_content\":\",\"},\"logprobs\":null}],\"created\":1790908779,\"model\":\"command-a-reasoning-08-2025\",\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"id\":\"52b1dec0-5396-46a4-9897-9e0adf56038b\",\"choices\":[{\"index\":0,\"finish_reason\":null,\"delta\":{\"reasoning_content\":\" so\"},\"logprobs\":null}],\"created\":1790908779,\"model\":\"command-a-reasoning-08-2025\",\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"id\":\"52b1dec0-5396-46a4-9897-9e0adf56038b\",\"choices\":[{\"index\":0,\"finish_reason\":null,\"delta\":{\"reasoning_content\":\" I\"},\"logprobs\":null}],\"created\":1790908779,\"model\":\"command-a-reasoning-08-2025\",\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"id\":\"52b1dec0-5396-46a4-9897-9e0adf56038b\",\"choices\":[{\"index\":0,\"finish_reason\":null,\"delta\":{\"reasoning_content\":\" need\"},\"logprobs\":null}],\"created\":1790908779,\"model\":\"command-a-reasoning-08-2025\",\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"id\":\"52b1dec0-5396-46a4-9897-9e0adf56038b\",\"choices\":[{\"index\":0,\"finish_reason\":null,\"delta\":{\"reasoning_content\":\" to\"},\"logprobs\":null}],\"created\":1790908779,\"model\":\"command-a-reasoning-08-2025\",\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"id\":\"52b1dec0-5396-46a4-9897-9e0adf56038b\",\"choices\":[{\"index\":0,\"finish_reason\":null,\"delta\":{\"reasoning_content\":\" figure\"},\"logprobs\":null}],\"created\":1790908779,\"model\":\"command-a-reasoning-08-2025\",\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"id\":\"52b1dec0-5396-46a4-9897-9e0adf56038b\",\"choices\":[{\"index\":0,\"finish_reason\":null,\"delta\":{\"reasoning_content\":\" out\"},\"logprobs\":null}],\"created\":1790908779,\"model\":\"command-a-reasoning-08-2025\",\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"id\":\"52b1dec0-5396-46a4-9897-9e0adf56038b\",\"choices\":[{\"index\":0,\"finish_reason\":null,\"delta\":{\"reasoning_content\":\" what\"},\"logprobs\":null}],\"created\":1790908779,\"model\":\"command-a-reasoning-08-2025\",\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"id\":\"52b1dec0-5396-46a4-9897-9e0adf56038b\",\"choices\":[{\"index\":0,\"finish_reason\":null,\"delta\":{\"reasoning_content\":\" 1\"},\"logprobs\":null}],\"created\":1790908779,\"model\":\"command-a-reasoning-08-2025\",\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"id\":\"52b1dec0-5396-46a4-9897-9e0adf56038b\",\"choices\":[{\"index\":0,\"finish_reason\":null,\"delta\":{\"reasoning_content\":\"7\"},\"logprobs\":null}],\"created\":1790908779,\"model\":\"command-a-reasoning-08-2025\",\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"id\":\"52b1dec0-5396-46a4-9897-9e0adf56038b\",\"choices\":[{\"index\":0,\"finish_reason\":null,\"delta\":{\"reasoning_content\":\" multiplied\"},\"logprobs\":null}],\"created\":1790908779,\"model\":\"command-a-reasoning-08-2025\",\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"id\":\"52b1dec0-5396-46a4-9897-9e0adf56038b\",\"choices\":[{\"index\":0,\"finish_reason\":null,\"delta\":{\"reasoning_content\":\" by\"},\"logprobs\":null}],\"created\":1790908779,\"model\":\"command-a-reasoning-08-2025\",\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"id\":\"52b1dec0-5396-46a4-9897-9e0adf56038b\",\"choices\":[{\"index\":0,\"finish_reason\":null,\"delta\":{\"reasoning_content\":\" 2\"},\"logprobs\":null}],\"created\":1790908779,\"model\":\"command-a-reasoning-08-2025\",\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"id\":\"52b1dec0-5396-46a4-9897-9e0adf56038b\",\"choices\":[{\"index\":0,\"finish_reason\":null,\"delta\":{\"reasoning_content\":\"3\"},\"logprobs\":null}],\"created\":1790908779,\"model\":\"command-a-reasoning-08-2025\",\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"id\":\"52b1dec0-5396-46a4-9897-9e0adf56038b\",\"choices\":[{\"index\":0,\"finish_reason\":null,\"delta\":{\"reasoning_content\":\" is\"},\"logprobs\":null}],\"created\":1790908779,\"model\":\"command-a-reasoning-08-2025\",\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"id\":\"52b1dec0-5396-46a4-9897-9e0adf56038b\",\"choices\":[{\"indLine truncated
+      }
+    }
+  ]
+}
@@ -0,0 +1,31 @@
+{
+  "version": 1,
+  "metadata": {
+    "tags": [
+      "prefix:cohere",
+      "provider:cohere"
+    ],
+    "name": "cohere/streams-native-text-and-usage",
+    "recordedAt": "2026-10-02T02:36:12.967Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://api.cohere.com/v2/chat",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"command-a-03-2025\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Reply exactly: OK\"}]}],\"stream\":true,\"max_tokens\":64}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "event: message-start\ndata: {\"id\":\"a171b3a5-db11-4445-a645-5221fb466ab8\",\"type\":\"message-start\",\"delta\":{\"message\":{\"role\":\"assistant\",\"content\":[],\"tool_plan\":\"\",\"tool_calls\":[],\"citations\":[]}}}\n\nevent: content-start\ndata: {\"type\":\"content-start\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"type\":\"text\",\"text\":\"\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"text\":\"OK\"}}}}\n\nevent: content-end\ndata: {\"type\":\"content-end\",\"index\":0}\n\nevent: message-end\ndata: {\"type\":\"message-end\",\"delta\":{\"finish_reason\":\"COMPLETE\",\"usage\":{\"billed_units\":{\"input_tokens\":4,\"output_tokens\":1},\"tokens\":{\"input_tokens\":499,\"output_tokens\":4},\"cached_tokens\":464}}}\n\ndata: [DONE]\n\n"
+      }
+    }
+  ]
+}
@@ -0,0 +1,31 @@
+{
+  "version": 1,
+  "metadata": {
+    "tags": [
+      "prefix:cohere",
+      "provider:cohere"
+    ],
+    "name": "cohere/streams-native-thinking-with-a-budget",
+    "recordedAt": "2026-10-02T02:36:14.669Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://api.cohere.com/v2/chat",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"command-a-reasoning-08-2025\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 17 times 23? Answer briefly.\"}]}],\"stream\":true,\"thinking\":{\"type\":\"enabled\",\"token_budget\":128},\"max_tokens\":2048}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "event: message-start\ndata: {\"id\":\"305edbbe-9f86-4bc0-9490-7766b168a453\",\"type\":\"message-start\",\"delta\":{\"message\":{\"role\":\"assistant\",\"content\":[],\"tool_plan\":\"\",\"tool_calls\":[],\"citations\":[]}}}\n\nevent: content-start\ndata: {\"type\":\"content-start\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"type\":\"thinking\",\"thinking\":\"\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\"Okay\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\",\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" let\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\"'s\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" see\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\".\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" I\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" need\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" to\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" figure\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" out\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" what\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" 1\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\"7\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" multiplied\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" by\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" 2\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\"3\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" is\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\".\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" H\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\"mm\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\",\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" how\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" do\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" I\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" do\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" this\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\"?\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" I\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" remember\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" some\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" multiplication\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" methods\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",Line truncated
+      }
+    }
+  ]
+}
@@ -0,0 +1,54 @@
+{
+  "version": 1,
+  "metadata": {
+    "model": "openai-gpt-5-nano",
+    "tags": [
+      "prefix:digitalocean-chat",
+      "provider:digitalocean",
+      "protocol:digitalocean-chat",
+      "cache",
+      "tool",
+      "tool-loop"
+    ],
+    "name": "digitalocean-chat/gpt-nano-continues-a-tool-call-with-cache-markers",
+    "recordedAt": "2026-10-01T07:36:41.717Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://inference.do-ai.run/v1/chat/completions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"openai-gpt-5-nano\",\"messages\":[{\"role\":\"system\",\"content\":[{\"type\":\"text\",\"text\":\"Use the get_weather tool exactly once. After the tool result, reply exactly: Paris is sunny.\",\"cache_control\":{\"type\":\"ephemeral\"}}]},{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is the weather in Paris?\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false},\"strict\":false},\"cache_control\":{\"type\":\"ephemeral\"}}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"store\":false,\"reasoning_effort\":\"minimal\",\"max_completion_tokens\":1024}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "data: {\"choices\":[{\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840200,\"id\":\"chatcmpl-EU5dIREwFebLDdrnmX7ftaDIK4qrZ\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"tool_calls\":[{\"function\":{\"arguments\":\"\",\"name\":\"get_weather\"},\"id\":\"call_zPwN7xhG4uXQINkufgtjVJ7L\",\"index\":0,\"type\":\"function\"}]},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840200,\"id\":\"chatcmpl-EU5dIREwFebLDdrnmX7ftaDIK4qrZ\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"tool_calls\":[{\"function\":{\"arguments\":\"{\\\"\"},\"index\":0,\"type\":\"function\"}]},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840200,\"id\":\"chatcmpl-EU5dIREwFebLDdrnmX7ftaDIK4qrZ\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"tool_calls\":[{\"function\":{\"arguments\":\"city\"},\"index\":0,\"type\":\"function\"}]},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840200,\"id\":\"chatcmpl-EU5dIREwFebLDdrnmX7ftaDIK4qrZ\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"tool_calls\":[{\"function\":{\"arguments\":\"\\\":\\\"\"},\"index\":0,\"type\":\"function\"}]},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840200,\"id\":\"chatcmpl-EU5dIREwFebLDdrnmX7ftaDIK4qrZ\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"tool_calls\":[{\"function\":{\"arguments\":\"Paris\"},\"index\":0,\"type\":\"function\"}]},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840200,\"id\":\"chatcmpl-EU5dIREwFebLDdrnmX7ftaDIK4qrZ\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"tool_calls\":[{\"function\":{\"arguments\":\"\\\"}\"},\"index\":0,\"type\":\"function\"}]},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840200,\"id\":\"chatcmpl-EU5dIREwFebLDdrnmX7ftaDIK4qrZ\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{},\"finish_reason\":\"tool_calls\",\"index\":0,\"logprobs\":null}],\"created\":1790840200,\"id\":\"chatcmpl-EU5dIREwFebLDdrnmX7ftaDIK4qrZ\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[],\"created\":1790840200,\"id\":\"chatcmpl-EU5dIREwFebLDdrnmX7ftaDIK4qrZ\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\",\"usage\":{\"cache_created_input_tokens\":0,\"cache_creation\":{\"ephemeral_1h_input_tokens\":0,\"ephemeral_5m_input_tokens\":0},\"cache_read_input_tokens\":0,\"completion_tokens\":23,\"completion_tokens_details\":{\"reasoning_tokens\":0},\"prompt_tokens\":155,\"prompt_tokens_details\":{\"cached_tokens\":0},\"speed\":null,\"total_tokens\":178}}\n\ndata: [DONE]\n\n"
+      }
+    },
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://inference.do-ai.run/v1/chat/completions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"openai-gpt-5-nano\",\"messages\":[{\"role\":\"system\",\"content\":[{\"type\":\"text\",\"text\":\"Use the get_weather tool exactly once. After the tool result, reply exactly: Paris is sunny.\",\"cache_control\":{\"type\":\"ephemeral\"}}]},{\"role\":\"user\",\"content\":\"What is the weather in Paris?\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_zPwN7xhG4uXQINkufgtjVJ7L\",\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"arguments\":\"{\\\"city\\\":\\\"Paris\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_zPwN7xhG4uXQINkufgtjVJ7L\",\"content\":[{\"type\":\"text\",\"text\":\"{\\\"temperature\\\":22,\\\"condition\\\":\\\"sunny\\\"}\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false},\"strict\":false},\"cache_control\":{\"type\":\"ephemeral\"}}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"store\":false,\"reasoning_effort\":\"minimal\",\"max_completion_tokens\":1024}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "data: {\"choices\":[{\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840201,\"id\":\"chatcmpl-EU5dJprTkE7OHEKnmvot7rR0LSo5L\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"content\":\"Paris\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840201,\"id\":\"chatcmpl-EU5dJprTkE7OHEKnmvot7rR0LSo5L\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"content\":\" is\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840201,\"id\":\"chatcmpl-EU5dJprTkE7OHEKnmvot7rR0LSo5L\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"content\":\" sunny\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840201,\"id\":\"chatcmpl-EU5dJprTkE7OHEKnmvot7rR0LSo5L\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"content\":\".\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840201,\"id\":\"chatcmpl-EU5dJprTkE7OHEKnmvot7rR0LSo5L\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{},\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null}],\"created\":1790840201,\"id\":\"chatcmpl-EU5dJprTkE7OHEKnmvot7rR0LSo5L\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[],\"created\":1790840201,\"id\":\"chatcmpl-EU5dJprTkE7OHEKnmvot7rR0LSo5L\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\",\"usage\":{\"cache_created_input_tokens\":0,\"cache_creation\":{\"ephemeral_1h_input_tokens\":0,\"ephemeral_5m_input_tokens\":0},\"cache_read_input_tokens\":0,\"completion_tokens\":13,\"completion_tokens_details\":{\"reasoning_tokens\":0},\"prompt_tokens\":193,\"prompt_tokens_details\":{\"cached_tokens\":0},\"speed\":null,\"total_tokens\":206}}\n\ndata: [DONE]\n\n"
+      }
+    }
+  ]
+}
@@ -0,0 +1,53 @@
+{
+  "version": 1,
+  "metadata": {
+    "model": "openai-gpt-5-nano",
+    "tags": [
+      "prefix:digitalocean-chat",
+      "provider:digitalocean",
+      "protocol:digitalocean-chat",
+      "cache",
+      "usage"
+    ],
+    "name": "digitalocean-chat/gpt-nano-reuses-a-cached-prompt",
+    "recordedAt": "2026-10-01T07:36:40.074Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://inference.do-ai.run/v1/chat/completions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"openai-gpt-5-nano\",\"messages\":[{\"role\":\"system\",\"content\":[{\"type\":\"text\",\"text\":\"You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid fillLine truncated
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "data: {\"choices\":[{\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840199,\"id\":\"chatcmpl-EU5dHjjHh6g7s4uSL7kMOOpLEXVki\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"content\":\"OK\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840199,\"id\":\"chatcmpl-EU5dHjjHh6g7s4uSL7kMOOpLEXVki\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{},\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null}],\"created\":1790840199,\"id\":\"chatcmpl-EU5dHjjHh6g7s4uSL7kMOOpLEXVki\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[],\"created\":1790840199,\"id\":\"chatcmpl-EU5dHjjHh6g7s4uSL7kMOOpLEXVki\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\",\"usage\":{\"cache_created_input_tokens\":0,\"cache_creation\":{\"ephemeral_1h_input_tokens\":0,\"ephemeral_5m_input_tokens\":0},\"cache_read_input_tokens\":0,\"completion_tokens\":10,\"completion_tokens_details\":{\"reasoning_tokens\":0},\"prompt_tokens\":4765,\"prompt_tokens_details\":{\"cached_tokens\":0},\"speed\":null,\"total_tokens\":4775}}\n\ndata: [DONE]\n\n"
+      }
+    },
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://inference.do-ai.run/v1/chat/completions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"openai-gpt-5-nano\",\"messages\":[{\"role\":\"system\",\"content\":[{\"type\":\"text\",\"text\":\"You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid fillLine truncated
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "data: {\"choices\":[{\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840200,\"id\":\"chatcmpl-EU5dHYe8HWjEAEIIvsJ6Hk0EUxL9r\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"content\":\"OK\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840200,\"id\":\"chatcmpl-EU5dHYe8HWjEAEIIvsJ6Hk0EUxL9r\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{},\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null}],\"created\":1790840200,\"id\":\"chatcmpl-EU5dHYe8HWjEAEIIvsJ6Hk0EUxL9r\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[],\"created\":1790840200,\"id\":\"chatcmpl-EU5dHYe8HWjEAEIIvsJ6Hk0EUxL9r\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\",\"usage\":{\"cache_created_input_tokens\":0,\"cache_creation\":{\"ephemeral_1h_input_tokens\":0,\"ephemeral_5m_input_tokens\":0},\"cache_read_input_tokens\":4608,\"completion_tokens\":10,\"completion_tokens_details\":{\"reasoning_tokens\":0},\"prompt_tokens\":4765,\"prompt_tokens_details\":{\"cached_tokens\":4608},\"speed\":null,\"total_tokens\":4775}}\n\ndata: [DONE]\n\n"
+      }
+    }
+  ]
+}
@@ -0,0 +1,54 @@
+{
+  "version": 1,
+  "metadata": {
+    "model": "anthropic-claude-haiku-4.5",
+    "tags": [
+      "prefix:digitalocean-chat",
+      "provider:digitalocean",
+      "protocol:digitalocean-chat",
+      "cache",
+      "tool",
+      "tool-loop"
+    ],
+    "name": "digitalocean-chat/haiku-continues-a-tool-call-with-cache-markers",
+    "recordedAt": "2026-10-01T07:36:38.471Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://inference.do-ai.run/v1/chat/completions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"anthropic-claude-haiku-4.5\",\"messages\":[{\"role\":\"system\",\"content\":[{\"type\":\"text\",\"text\":\"Use the get_weather tool exactly once. After the tool result, reply exactly: Paris is sunny.\",\"cache_control\":{\"type\":\"ephemeral\"}}]},{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is the weather in Paris?\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false},\"strict\":false},\"cache_control\":{\"type\":\"ephemeral\"}}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"store\":false,\"max_completion_tokens\":128}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "data: {\"choices\":[{\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840197,\"id\":\"chatcmpl-ccddd771-e8a6-4b59-b819-614f79ac4624\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"tool_calls\":[{\"function\":{\"arguments\":\"\",\"name\":\"get_weather\"},\"id\":\"toolu_014LEa2F66CGw2SoLmWBeH5C\",\"index\":0,\"type\":\"function\"}]},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840197,\"id\":\"chatcmpl-ccddd771-e8a6-4b59-b819-614f79ac4624\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"tool_calls\":[{\"function\":{\"arguments\":\"\"},\"index\":0,\"type\":\"function\"}]},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840197,\"id\":\"chatcmpl-ccddd771-e8a6-4b59-b819-614f79ac4624\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"tool_calls\":[{\"function\":{\"arguments\":\"{\\\"city\\\"\"},\"index\":0,\"type\":\"function\"}]},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840197,\"id\":\"chatcmpl-ccddd771-e8a6-4b59-b819-614f79ac4624\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"tool_calls\":[{\"function\":{\"arguments\":\": \\\"Pari\"},\"index\":0,\"type\":\"function\"}]},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840197,\"id\":\"chatcmpl-ccddd771-e8a6-4b59-b819-614f79ac4624\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"tool_calls\":[{\"function\":{\"arguments\":\"s\\\"}\"},\"index\":0,\"type\":\"function\"}]},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840197,\"id\":\"chatcmpl-ccddd771-e8a6-4b59-b819-614f79ac4624\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{},\"finish_reason\":\"tool_calls\",\"index\":0,\"logprobs\":null}],\"created\":1790840197,\"id\":\"chatcmpl-ccddd771-e8a6-4b59-b819-614f79ac4624\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[],\"created\":1790840197,\"id\":\"chatcmpl-ccddd771-e8a6-4b59-b819-614f79ac4624\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\",\"usage\":{\"cache_created_input_tokens\":0,\"cache_creation\":{\"ephemeral_1h_input_tokens\":0,\"ephemeral_5m_input_tokens\":0},\"cache_read_input_tokens\":0,\"completion_tokens\":54,\"completion_tokens_details\":{\"reasoning_tokens\":0},\"prompt_tokens\":593,\"prompt_tokens_details\":{\"cached_tokens\":0},\"speed\":null,\"total_tokens\":647}}\n\ndata: [DONE]\n\n"
+      }
+    },
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://inference.do-ai.run/v1/chat/completions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"anthropic-claude-haiku-4.5\",\"messages\":[{\"role\":\"system\",\"content\":[{\"type\":\"text\",\"text\":\"Use the get_weather tool exactly once. After the tool result, reply exactly: Paris is sunny.\",\"cache_control\":{\"type\":\"ephemeral\"}}]},{\"role\":\"user\",\"content\":\"What is the weather in Paris?\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"toolu_014LEa2F66CGw2SoLmWBeH5C\",\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"arguments\":\"{\\\"city\\\":\\\"Paris\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"toolu_014LEa2F66CGw2SoLmWBeH5C\",\"content\":[{\"type\":\"text\",\"text\":\"{\\\"temperature\\\":22,\\\"condition\\\":\\\"sunny\\\"}\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false},\"strict\":false},\"cache_control\":{\"type\":\"ephemeral\"}}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"store\":false,\"max_completion_tokens\":128}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "data: {\"choices\":[{\"delta\":{\"content\":\"Paris\",\"role\":\"assistant\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840198,\"id\":\"chatcmpl-3914ee28-f256-4a49-994f-49365922a7a6\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"content\":\" is sunny.\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840198,\"id\":\"chatcmpl-3914ee28-f256-4a49-994f-49365922a7a6\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{},\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null}],\"created\":1790840198,\"id\":\"chatcmpl-3914ee28-f256-4a49-994f-49365922a7a6\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[],\"created\":1790840198,\"id\":\"chatcmpl-3914ee28-f256-4a49-994f-49365922a7a6\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\",\"usage\":{\"cache_created_input_tokens\":0,\"cache_creation\":{\"ephemeral_1h_input_tokens\":0,\"ephemeral_5m_input_tokens\":0},\"cache_read_input_tokens\":0,\"completion_tokens\":7,\"completion_tokens_details\":{\"reasoning_tokens\":0},\"prompt_tokens\":668,\"prompt_tokens_details\":{\"cached_tokens\":0},\"speed\":null,\"total_tokens\":675}}\n\ndata: [DONE]\n\n"
+      }
+    }
+  ]
+}
@@ -0,0 +1,53 @@
+{
+  "version": 1,
+  "metadata": {
+    "model": "anthropic-claude-haiku-4.5",
+    "tags": [
+      "prefix:digitalocean-chat",
+      "provider:digitalocean",
+      "protocol:digitalocean-chat",
+      "cache",
+      "usage"
+    ],
+    "name": "digitalocean-chat/haiku-reuses-a-cached-prompt",
+    "recordedAt": "2026-10-01T07:36:36.689Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://inference.do-ai.run/v1/chat/completions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"anthropic-claude-haiku-4.5\",\"messages\":[{\"role\":\"system\",\"content\":[{\"type\":\"text\",\"text\":\"You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and aLine truncated
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "data: {\"choices\":[{\"delta\":{\"content\":\"OK\",\"role\":\"assistant\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840195,\"id\":\"chatcmpl-94f208e5-82fa-4ec6-b014-1b4ea9fbb98c\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{},\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null}],\"created\":1790840195,\"id\":\"chatcmpl-94f208e5-82fa-4ec6-b014-1b4ea9fbb98c\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[],\"created\":1790840195,\"id\":\"chatcmpl-94f208e5-82fa-4ec6-b014-1b4ea9fbb98c\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\",\"usage\":{\"cache_created_input_tokens\":5759,\"cache_creation\":{\"ephemeral_1h_input_tokens\":0,\"ephemeral_5m_input_tokens\":5759},\"cache_read_input_tokens\":0,\"completion_tokens\":4,\"completion_tokens_details\":{\"reasoning_tokens\":0},\"prompt_tokens\":5762,\"prompt_tokens_details\":{\"cached_tokens\":0},\"speed\":null,\"total_tokens\":5766}}\n\ndata: [DONE]\n\n"
+      }
+    },
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://inference.do-ai.run/v1/chat/completions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"anthropic-claude-haiku-4.5\",\"messages\":[{\"role\":\"system\",\"content\":[{\"type\":\"text\",\"text\":\"You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and aLine truncated
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "data: {\"choices\":[{\"delta\":{\"content\":\"OK\",\"role\":\"assistant\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840196,\"id\":\"chatcmpl-eee2d578-6fab-4fc1-8117-043193225bed\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{},\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null}],\"created\":1790840196,\"id\":\"chatcmpl-eee2d578-6fab-4fc1-8117-043193225bed\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[],\"created\":1790840196,\"id\":\"chatcmpl-eee2d578-6fab-4fc1-8117-043193225bed\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\",\"usage\":{\"cache_created_input_tokens\":0,\"cache_creation\":{\"ephemeral_1h_input_tokens\":0,\"ephemeral_5m_input_tokens\":0},\"cache_read_input_tokens\":5759,\"completion_tokens\":4,\"completion_tokens_details\":{\"reasoning_tokens\":0},\"prompt_tokens\":5762,\"prompt_tokens_details\":{\"cached_tokens\":5759},\"speed\":null,\"total_tokens\":5766}}\n\ndata: [DONE]\n\n"
+      }
+    }
+  ]
+}
@@ -0,0 +1,66 @@
+{
+  "version": 1,
+  "metadata": {
+    "tags": [
+      "prefix:google-interactions",
+      "provider:google",
+      "protocol:google-interactions"
+    ],
+    "name": "google-interactions/continues-tool-results-with-previous-interaction-id",
+    "recordedAt": "2026-10-03T18:10:17.900Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://generativelanguage.googleapis.com/v1beta/interactions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"gemini-3.8-flash\",\"input\":[{\"type\":\"user_input\",\"content\":[{\"type\":\"text\",\"text\":\"What is the weather in Paris?\"}]}],\"stream\":true,\"store\":true,\"system_instruction\":\"Use get_weather for weather questions. Answer concisely after receiving the result.\",\"tools\":[{\"type\":\"function\",\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"generation_config\":{\"max_output_tokens\":2048,\"thinking_level\":\"low\",\"tool_choice\":\"any\"}}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "event: interaction.created\ndata: {\"interaction\":{\"id\":\"v1_ChdCMFhCYXRqeURhVDdxdHNQNWJLTXNBURIXQjBYQmF0anlEYVQ3cXRzUDViS01zQVE\",\"object\":\"interaction\",\"model\":\"gemini-3.8-flash\"},\"event_type\":\"interaction.created\"}\n\nevent: interaction.status_update\ndata: {\"interaction_id\":\"v1_ChdCMFhCYXRqeURhVDdxdHNQNWJLTXNBURIXQjBYQmF0anlEYVQ3cXRzUDViS01zQVE\",\"status\":\"in_progress\",\"event_type\":\"interaction.status_update\"}\n\nevent: step.start\ndata: {\"index\":0,\"step\":{\"type\":\"thought\"},\"event_type\":\"step.start\"}\n\nevent: step.delta\ndata: {\"index\":0,\"delta\":{\"signature\":\"EoACCv0BAWkUfRMR9cx79IeL9V4HvDAHann4OEdOjz7FebGRwlCFGJHqLGG1lG1d+9xzzyPXN0d60gjMwbeix1bE4cCckDeMV0vAkOfR/epPhvmcfI+vWK1nURu+3UcgUBQ9on4VlZFcnOg7SoihuvxuQB4qqT65EAyqi8ybd3P8NB+V/FNcTBvMmJuNNCNxI5KgwsHjdT+xLdssTieljIG3H99rSz3/Nv90dYEJIr0WsQ1a3ZevpD6gPts/8Id/Z92zQ3aq4LAr47rdItCVF5h63Lchi9QFrav5LGf6lNVAOnlHIyXBrlAnVbdLsAdzlemlHY+oIWNMncL/NKayCt+qvQ==\",\"type\":\"thought_signature\"},\"event_type\":\"step.delta\"}\n\nevent: step.stop\ndata: {\"index\":0,\"event_type\":\"step.stop\"}\n\nevent: step.start\ndata: {\"index\":1,\"step\":{\"id\":\"call_326996\",\"signature\":\"AWkUfRMR9cx79IeL9V4HvDAHann4OEdOjz7FebGRwlCFGJHqLGG1lG1d+9xzzyPXN0d60gjMwbeix1bE4cCckDeMV0vAkOfR/epPhvmcfI+vWK1nURu+3UcgUBQ9on4VlZFcnOg7SoihuvxuQB4qqT65EAyqi8ybd3P8NB+V/FNcTBvMmJuNNCNxI5KgwsHjdT+xLdssTieljIG3H99rSz3/Nv90dYEJIr0WsQ1a3ZevpD6gPts/8Id/Z92zQ3aq4LAr47rdItCVF5h63Lchi9QFrav5LGf6lNVAOnlHIyXBrlAnVbdLsAdzlemlHY+oIWNMncL/NKayCt+qvQ==\",\"type\":\"function_call\",\"name\":\"get_weather\",\"arguments\":{}},\"event_type\":\"step.start\"}\n\nevent: step.delta\ndata: {\"index\":1,\"delta\":{\"arguments\":\"{\\\"city\\\":\\\"Paris\\\"}\",\"type\":\"arguments_delta\"},\"event_type\":\"step.delta\"}\n\nevent: step.stop\ndata: {\"index\":1,\"event_type\":\"step.stop\"}\n\nevent: interaction.completed\ndata: {\"interaction\":{\"id\":\"v1_ChdCMFhCYXRqeURhVDdxdHNQNWJLTXNBURIXQjBYQmF0anlEYVQ3cXRzUDViS01zQVE\",\"status\":\"requires_action\",\"usage\":{\"total_tokens\":114,\"total_input_tokens\":68,\"input_tokens_by_modality\":[{\"modality\":\"text\",\"tokens\":68}],\"total_cached_tokens\":0,\"total_output_tokens\":16,\"total_tool_use_tokens\":0,\"total_thought_tokens\":30,\"raw_prompt_token\":107,\"model_invocation_token_counts\":[{\"prompt_tokens_details\":[{\"modality\":\"text\",\"tokens\":107}],\"candidates_tokens_details\":[{\"modality\":\"text\",\"tokens\":22}],\"thoughts_tokens_details\":[{\"modality\":\"text\",\"tokens\":30}]}],\"non_grounding_model_invocation_token_counts\":[{\"prompt_tokens_details\":[{\"modality\":\"text\",\"tokens\":107}],\"candidates_tokens_details\":[{\"modality\":\"text\",\"tokens\":22}],\"thoughts_tokens_details\":[{\"modality\":\"text\",\"tokens\":30}]}]},\"created\":\"2026-10-03T18:10:16Z\",\"updated\":\"2026-10-03T18:10:16Z\",\"service_tier\":\"standard\",\"object\":\"interaction\",\"model\":\"gemini-3.8-flash\"},\"event_type\":\"interaction.completed\"}\n\nevent: done\ndata: [DONE]\n\n"
+      }
+    },
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://generativelanguage.googleapis.com/v1beta/interactions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"gemini-3.8-flash\",\"input\":[{\"type\":\"function_result\",\"call_id\":\"call_326996\",\"name\":\"get_weather\",\"result\":{\"temperature\":22,\"condition\":\"sunny\"}}],\"stream\":true,\"store\":false,\"previous_interaction_id\":\"v1_ChdCMFhCYXRqeURhVDdxdHNQNWJLTXNBURIXQjBYQmF0anlEYVQ3cXRzUDViS01zQVE\",\"system_instruction\":\"Use get_weather for weather questions. Answer concisely after receiving the result.\",\"tools\":[{\"type\":\"function\",\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"generation_config\":{\"max_output_tokens\":2048,\"thinking_level\":\"low\",\"tool_choice\":\"none\"}}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "event: interaction.created\ndata: {\"interaction\":{\"object\":\"interaction\",\"model\":\"gemini-3.8-flash\"},\"event_type\":\"interaction.created\"}\n\nevent: interaction.status_update\ndata: {\"status\":\"in_progress\",\"event_type\":\"interaction.status_update\"}\n\nevent: step.start\ndata: {\"index\":0,\"step\":{\"type\":\"thought\"},\"event_type\":\"step.start\"}\n\nevent: step.delta\ndata: {\"index\":0,\"delta\":{\"signature\":\"EmkKZwFpFH0TchP60hnCGy9QgdyJKikXfeP9DBx/BVTE92JiMUcdYnAQ7vGOt2zL8v0GQMbCshndVE0+WeHt0QXyzeeMeNFH/UQ5bxo3Vs+T3H1e6Fq3LFIjDuvYvMYMRLk44oULO1EhoCg=\",\"type\":\"thought_signature\"},\"event_type\":\"step.delta\"}\n\nevent: step.stop\ndata: {\"index\":0,\"event_type\":\"step.stop\"}\n\nevent: step.start\ndata: {\"index\":1,\"step\":{\"type\":\"model_output\"},\"event_type\":\"step.start\"}\n\nevent: step.delta\ndata: {\"index\":1,\"delta\":{\"text\":\"The weather in Paris\",\"type\":\"text\"},\"event_type\":\"step.delta\"}\n\nevent: step.delta\ndata: {\"index\":1,\"delta\":{\"text\":\" is sunny with a temperature of 22°C.\",\"type\":\"text\"},\"event_type\":\"step.delta\"}\n\nevent: step.stop\ndata: {\"index\":1,\"event_type\":\"step.stop\"}\n\nevent: interaction.completed\ndata: {\"interaction\":{\"status\":\"completed\",\"usage\":{\"total_tokens\":115,\"total_input_tokens\":99,\"input_tokens_by_modality\":[{\"modality\":\"text\",\"tokens\":99}],\"total_cached_tokens\":0,\"total_output_tokens\":16,\"total_tool_use_tokens\":0,\"total_thought_tokens\":0,\"raw_prompt_token\":134,\"model_invocation_token_counts\":[{\"prompt_tokens_details\":[{\"modality\":\"text\",\"tokens\":134}],\"candidates_tokens_details\":[{\"modality\":\"text\",\"tokens\":20}]}],\"non_grounding_model_invocation_token_counts\":[{\"prompt_tokens_details\":[{\"modality\":\"text\",\"tokens\":134}],\"candidates_tokens_details\":[{\"modality\":\"text\",\"tokens\":20}]}]},\"created\":\"2026-10-03T18:10:17Z\",\"updated\":\"2026-10-03T18:10:17Z\",\"service_tier\":\"standard\",\"object\":\"interaction\",\"model\":\"gemini-3.8-flash\"},\"event_type\":\"interaction.completed\"}\n\nevent: done\ndata: [DONE]\n\n"
+      }
+    },
+    {
+      "transport": "http",
+      "request": {
+        "method": "DELETE",
+        "url": "https://generativelanguage.googleapis.com/v1beta/interactions/v1_ChdCMFhCYXRqeURhVDdxdHNQNWJLTXNBURIXQjBYQmF0anlEYVQ3cXRzUDViS01zQVE",
+        "headers": {},
+        "body": ""
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{}"
+      }
+    }
+  ]
+}
@@ -0,0 +1,50 @@
+{
+  "version": 1,
+  "metadata": {
+    "tags": [
+      "prefix:google-interactions",
+      "provider:google",
+      "protocol:google-interactions"
+    ],
+    "name": "google-interactions/replays-native-tool-results-and-signatures-statelessly",
+    "recordedAt": "2026-10-03T18:10:15.040Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://generativelanguage.googleapis.com/v1beta/interactions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"gemini-3.8-flash\",\"input\":[{\"type\":\"user_input\",\"content\":[{\"type\":\"text\",\"text\":\"What is the weather in Paris?\"}]}],\"stream\":true,\"store\":false,\"system_instruction\":\"Use get_weather for weather questions. Answer concisely after receiving the result.\",\"tools\":[{\"type\":\"function\",\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"generation_config\":{\"max_output_tokens\":2048,\"thinking_level\":\"low\",\"thinking_summaries\":\"auto\",\"tool_choice\":{\"allowed_tools\":{\"mode\":\"any\",\"tools\":[\"get_weather\"]}}}}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "event: interaction.created\ndata: {\"interaction\":{\"object\":\"interaction\",\"model\":\"gemini-3.8-flash\"},\"event_type\":\"interaction.created\"}\n\nevent: interaction.status_update\ndata: {\"status\":\"in_progress\",\"event_type\":\"interaction.status_update\"}\n\nevent: step.start\ndata: {\"index\":0,\"step\":{\"type\":\"thought\"},\"event_type\":\"step.start\"}\n\nevent: step.delta\ndata: {\"index\":0,\"delta\":{\"signature\":\"EmkKZwFpFH0TU3VE2ypZTy8W0/W4ikeJNHd8J/UqUDCBIILV/U6sCJUEUat3oneLPVOSvuy+mLi2ByVh2ZlkcxEiY4DsOcsHKSF6q1WBk9YuCqE+W8BMNjZoRwBQeyDeq6cJpXDVkFtBYbg=\",\"type\":\"thought_signature\"},\"event_type\":\"step.delta\"}\n\nevent: step.stop\ndata: {\"index\":0,\"event_type\":\"step.stop\"}\n\nevent: step.start\ndata: {\"index\":1,\"step\":{\"id\":\"call_1850980\",\"signature\":\"AWkUfRNTdUTbKllPLxbT9biKR4k0d3wn9SpQMIEggtX9TqwIlQRRq3eid4s9U5K+7L6YuLYHJWHZmWRzESJjgOw5ywcpIXqrVYGT1i4KoT5bwEw2NmhHAFB7IN6rpwmlcNWQW0FhuA==\",\"type\":\"function_call\",\"name\":\"get_weather\",\"arguments\":{}},\"event_type\":\"step.start\"}\n\nevent: step.delta\ndata: {\"index\":1,\"delta\":{\"arguments\":\"{\\\"city\\\":\\\"Paris\\\"}\",\"type\":\"arguments_delta\"},\"event_type\":\"step.delta\"}\n\nevent: step.stop\ndata: {\"index\":1,\"event_type\":\"step.stop\"}\n\nevent: interaction.completed\ndata: {\"interaction\":{\"status\":\"requires_action\",\"usage\":{\"total_tokens\":84,\"total_input_tokens\":68,\"input_tokens_by_modality\":[{\"modality\":\"text\",\"tokens\":68}],\"total_cached_tokens\":0,\"total_output_tokens\":16,\"total_tool_use_tokens\":0,\"total_thought_tokens\":0,\"raw_prompt_token\":107,\"model_invocation_token_counts\":[{\"prompt_tokens_details\":[{\"modality\":\"text\",\"tokens\":107}],\"candidates_tokens_details\":[{\"modality\":\"text\",\"tokens\":22}]}],\"non_grounding_model_invocation_token_counts\":[{\"prompt_tokens_details\":[{\"modality\":\"text\",\"tokens\":107}],\"candidates_tokens_details\":[{\"modality\":\"text\",\"tokens\":22}]}]},\"created\":\"2026-10-03T18:10:14Z\",\"updated\":\"2026-10-03T18:10:14Z\",\"service_tier\":\"standard\",\"object\":\"interaction\",\"model\":\"gemini-3.8-flash\"},\"event_type\":\"interaction.completed\"}\n\nevent: done\ndata: [DONE]\n\n"
+      }
+    },
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://generativelanguage.googleapis.com/v1beta/interactions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"gemini-3.8-flash\",\"input\":[{\"type\":\"user_input\",\"content\":[{\"type\":\"text\",\"text\":\"What is the weather in Paris?\"}]},{\"type\":\"thought\",\"signature\":\"EmkKZwFpFH0TU3VE2ypZTy8W0/W4ikeJNHd8J/UqUDCBIILV/U6sCJUEUat3oneLPVOSvuy+mLi2ByVh2ZlkcxEiY4DsOcsHKSF6q1WBk9YuCqE+W8BMNjZoRwBQeyDeq6cJpXDVkFtBYbg=\"},{\"type\":\"function_call\",\"id\":\"call_1850980\",\"name\":\"get_weather\",\"arguments\":{\"city\":\"Paris\"},\"signature\":\"AWkUfRNTdUTbKllPLxbT9biKR4k0d3wn9SpQMIEggtX9TqwIlQRRq3eid4s9U5K+7L6YuLYHJWHZmWRzESJjgOw5ywcpIXqrVYGT1i4KoT5bwEw2NmhHAFB7IN6rpwmlcNWQW0FhuA==\"},{\"type\":\"function_result\",\"call_id\":\"call_1850980\",\"name\":\"get_weather\",\"result\":{\"temperature\":22,\"condition\":\"sunny\"}}],\"stream\":true,\"store\":false,\"system_instruction\":\"Use get_weather for weather questions. Answer concisely after receiving the result.\",\"tools\":[{\"type\":\"function\",\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"generation_config\":{\"max_output_tokens\":2048,\"thinking_level\":\"low\",\"thinking_summaries\":\"auto\",\"tool_choice\":\"none\"}}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "event: interaction.created\ndata: {\"interaction\":{\"object\":\"interaction\",\"model\":\"gemini-3.8-flash\"},\"event_type\":\"interaction.created\"}\n\nevent: interaction.status_update\ndata: {\"status\":\"in_progress\",\"event_type\":\"interaction.status_update\"}\n\nevent: step.start\ndata: {\"index\":0,\"step\":{\"type\":\"thought\"},\"event_type\":\"step.start\"}\n\nevent: step.delta\ndata: {\"index\":0,\"delta\":{\"signature\":\"EmkKZwFpFH0TRPN/gVeX86bn3+mP2Y1jv3jX464uSnSB+RuBqyig1Xfg52RBzk5GzUt98niutpbttYfMLkXURehjrP1AJUJzQbGLMqmqKD5iEp3bgLq46B3Ov+RcO539Fcz6+qCpPx+VaMQ=\",\"type\":\"thought_signature\"},\"event_type\":\"step.delta\"}\n\nevent: step.stop\ndata: {\"index\":0,\"event_type\":\"step.stop\"}\n\nevent: step.start\ndata: {\"index\":1,\"step\":{\"type\":\"model_output\"},\"event_type\":\"step.start\"}\n\nevent: step.delta\ndata: {\"index\":1,\"delta\":{\"text\":\"The weather in Paris\",\"type\":\"text\"},\"event_type\":\"step.delta\"}\n\nevent: step.delta\ndata: {\"index\":1,\"delta\":{\"text\":\" is sunny with a temperature of 22°C.\",\"type\":\"text\"},\"event_type\":\"step.delta\"}\n\nevent: step.stop\ndata: {\"index\":1,\"event_type\":\"step.stop\"}\n\nevent: interaction.completed\ndata: {\"interaction\":{\"status\":\"completed\",\"usage\":{\"total_tokens\":108,\"total_input_tokens\":92,\"input_tokens_by_modality\":[{\"modality\":\"text\",\"tokens\":92}],\"total_cached_tokens\":0,\"total_output_tokens\":16,\"total_tool_use_tokens\":0,\"total_thought_tokens\":0,\"raw_prompt_token\":104,\"model_invocation_token_counts\":[{\"prompt_tokens_details\":[{\"modality\":\"text\",\"tokens\":104}],\"candidates_tokens_details\":[{\"modality\":\"text\",\"tokens\":20}]}],\"non_grounding_model_invocation_token_counts\":[{\"prompt_tokens_details\":[{\"modality\":\"text\",\"tokens\":104}],\"candidates_tokens_details\":[{\"modality\":\"text\",\"tokens\":20}]}]},\"created\":\"2026-10-03T18:10:15Z\",\"updated\":\"2026-10-03T18:10:15Z\",\"service_tier\":\"standard\",\"object\":\"interaction\",\"model\":\"gemini-3.8-flash\"},\"event_type\":\"interaction.completed\"}\n\nevent: done\ndata: [DONE]\n\n"
+      }
+    }
+  ]
+}
@@ -0,0 +1,32 @@
+{
+  "version": 1,
+  "metadata": {
+    "tags": [
+      "prefix:google-interactions",
+      "provider:google",
+      "protocol:google-interactions"
+    ],
+    "name": "google-interactions/streams-reasoning-and-retains-thought-signatures",
+    "recordedAt": "2026-10-03T18:08:37.674Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://generativelanguage.googleapis.com/v1beta/interactions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"gemini-3.8-flash\",\"input\":[{\"type\":\"user_input\",\"content\":[{\"type\":\"text\",\"text\":\"Find the smallest positive integer that leaves remainder 1 modulo 7, 2 modulo 9, and 3 modulo 11. Explain briefly.\"}]}],\"stream\":true,\"store\":false,\"generation_config\":{\"max_output_tokens\":4096,\"thinking_level\":\"high\",\"thinking_summaries\":\"auto\"}}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "event: interaction.created\ndata: {\"interaction\":{\"object\":\"interaction\",\"model\":\"gemini-3.8-flash\"},\"event_type\":\"interaction.created\"}\n\nevent: interaction.status_update\ndata: {\"status\":\"in_progress\",\"event_type\":\"interaction.status_update\"}\n\nevent: step.start\ndata: {\"index\":0,\"step\":{\"type\":\"thought\"},\"event_type\":\"step.start\"}\n\nevent: step.delta\ndata: {\"index\":0,\"delta\":{\"content\":{\"text\":\"**Analyzing Congruences**\\n\\nI'm tackling a system of congruences to find the smallest positive integer x. Currently, I'm reviewing the Chinese Remainder Theorem as a potential solution, or considering a direct congruence-based approach. The congruences are as follows: $x \\\\equiv 1 \\\\pmod{7}$, $x \\\\equiv 2 \\\\pmod{9}$, $x \\\\equiv 3 \\\\pmod{11}$. I will use these congruences to find a solution.\\n\\n\\n\",\"type\":\"text\"},\"type\":\"thought_summary\"},\"event_type\":\"step.delta\"}\n\nevent: step.delta\ndata: {\"index\":0,\"delta\":{\"content\":{\"text\":\"**Combining Congruences**\\n\\nI've made progress by combining the first two congruences. I determined that x is congruent to 29 modulo 63. Now, I am focused on the remaining congruence, attempting to solve for k in the expression 63k + 29 ≡ 3 (mod 11). I simplified the expression to 8k ≡ 7 (mod 11) and am looking to multiply both sides to eliminate the coefficient of k.\\n\\n\\n\",\"type\":\"text\"},\"type\":\"thought_summary\"},\"event_type\":\"step.delta\"}\n\nevent: step.delta\ndata: {\"index\":0,\"delta\":{\"signature\":\"EskbCsYbAWkUfRM84T8fIy7KmpVRW3jt54Qo5USy0D9bJVmz6itgVBPMK3oD6Lx2AlpdFNnJ4oKCuDmIBs7ok77Tx10Ou1qfT0CsnJ391kx2pc1xAKdJJxvv2nBkHzVWb2/BORG0YNsdE96ulew1vC6x4mu/33XglL06m1hNhK8DPXGdn5lWMhKOqb9L9oBhMxazHUMlwStX67RdjURSVw/lodq/6Ao6PPTguHE9gEyh/iWwALZJCKkZw0LNgdWSRa/Ke4tfr8bncWcIGqz8bmxlaSUVB70m3o7TqvX6l4OyxEG4EwI8ixAKsxIicmxzzIqtGlWGqV/1ahnfIEktee0gF+cH/LcrBjUDblnOGUeKNCZlz7MBVIoRlWx5al5xcX1Vb63SekRlAuBqHqdEioYvMwm52QXzeXfNMDf+ixMhtpQ2fpAjG7PM+D0y+m2V9+3iUI/63e44RjWW2kZhgLrCQ9KSWrRoSsohGVS9zvGQBaVc6vb1QyX56A80eLKbqcGhWSHc+gp1L2lCM1MwBsvl9wM+Szzs8O61UBQJD4C/Pvyed1hxwt0Ebku70VyfTPJGLufWDisMOrruBmQ8MU+OyFk4N1Qm2ZkhOw2tE3yi9lf2ih0mfuj2a/nj81GIbvbSA+r+Oh3lhgOX7IlzidD6BJgSgWY4bG83a1twEVJyvBKZBIIDYKumDSz7tX9gWeKa5b90+RKGohyeM4Kp3yxuPGDPW6jxSHa6hch837OagyVjO/EVkB1LruWIAVAvFG9oAPYNesB2xFeeseXCnAQaNYbw6KMkH85kNBREvFZU1QpFHFWQ9gAxWfSTxCjnkqGao1In/b7wQVopgMVthrCr5VScf8HArkDdD8R9pnN9iD6he0mjmsFnw3mA80KxcWugmKiYkWrIfpEdbNB5FsyCffW+Wt9WmmFnH168qkhbkp5uXk3s8/bJFKmeijyNVWIG9LlLnZ6tpDkq8UqZSriapLq2byI1fk+Mu3UszAeen4qSDXQ32xGqKSr+SG/qpqVlFrvYr2PePjaZUljSqrH0CQSdqMvmlnM9E3XO4rQNtKcmg14BZ4FpVh7m/kCM0zfCfjSdX/BwWibEV4loM+eqLYyX7aul+chBDiQeO3iGkGWkfpycax2NDTYEMfimjuAJlWXsAuhJcdzLdeRucaZwJ0Fwpo0P153I8GIo7AQckiVaeBZRBY9fTEoz8khALMGRGSMrFDqqJ+1dDVdNxAh2txUeOneNi/D0rfM1W4yLJaB6Djl48VHoM1DguwSNDj4yE32Ku4XpXasoSd5/jRmmT8FKvk+FF4jxbJZcYHyTLcnyFCvDfrSBqdJAbdaLgkvRz9Gl1JAs3WPKR+CvIjbuf1cWxj8V8fyngf239aHVfePTXFXPi+M7uRo+923rjW7XxJortd68jHa7GpaLGUKVXgtKBXkAKCrRNRRwIJjODieyGYkj+GdUE0ikYCwbUPx8ZamGY3hjP8GjaVHK+9pUP7CddlUn3H3lIFbcXxQUtCOEFmwg9s9JcJSWLaoX0Vg0KIC1hYtamEkdiJSDbQWURPgzTD/llV86iDx/yaDgXWxaT4DkyNRfVcK2AFiDHQjHhRGd8KDizdpyCfAJZwTlF/nAPz4/FA1/bQ/cT5MHuebzbWbzkYDkDBzTXp2ND6VF50a3XUoKGV3LC6AEsUrUIDksKatHh0hLe+j/YMwOluyvI1WqfAHjCnAqjl/l29S/gFpAKMMjSS60OQzgp/hhORd+gDb8vj/9AS19B8uowIz8KnJkMHv57W3CKPROz2gBMl1VQYm5rRIayBn1fEtpwldDScyhFNtdx7G/ypjQLpgVqzdZTy1dZqHJwA1lOtoMfG1kz/SIDxF56kzUpUcc9Smz/hF3hhGn7TYsQZtcMRB1/W8JCq4qvUle0MIAOXn4XukmQXae6M25aHfHUad7H4BGrFP+P0398drrRQGaqSzos4Hpl1Ev6+3t4mlC81aeRi12asZoIuYTs+RxH4wSe/tbfX+579MuSm07iQGSSmbo8r9xcEREPjEJZ+hNl1YlZB3x/fpzMfVW9L0omiF+rPcTiiILmQh32LRkJ8ZDiAw4HXTZHYKR1sGe+NBqCjT5Y1ZGzQE+4RntZQ7L39qDN8N6VK1gSnL1pEsHui+kLBh8OF+VZWWw2625evbyZ4TPTOccgGf6oOnqNKNn1R6yu7ixK/eOVl1hWUbFZBaWcBvIw1IT4kjA63Q9C9cTqs2abxMzVdP4vdN1M5PC7vNoD9CYBS6GXqw+8B5ODgs6o7ktSNkeUas8XWFxb8xq+m/X112ujTuIcv7loDijzdmKwZq1YLhVEfPTtgGDxZLlGAwIbCvxK2WPjT7h9o+aDZpX3mf7Qwm6+mBMboz4i8b0QnSCIiSBsVx/tHbwA/bH8VwaIqqhZssQMhFCu3RoNlEQ5O9oV4qONmPDhuRNpt/ArBiCyCQ+N4LFvwVQr7t5y7ioW7JVCCoBSjBlQ3b2EEbH/4tbgt9VkCIXN5qSjcu/rmgMQvpYa4Mud6Hq4Z3GNe7jTgc084nD4E2pR5yqxkjgI7axtkHbDLcNKa2yNW7OwIrg0j+iK6AW6TMd/M3oXOH26FAUfdLi72tl6jcS3osbQZ+/8jed+frQdx2GGxT/NLvfLq002T+rgq4InFPcrzXHItfk6pNfAOnYPyB8zw8INSSpa5TOk11CKQ0eOv4SLDbuf8ffRNfOA4cl/dm4M6bANzx9R1RWdRt1bf05NPtzPN7lH32CtCzajFA1wmI6JpcXerG0QosKWjfltSdYTOE2+8SNW2xP3pTuQUpi7X5ewXeJZ06rtXcS09URjZCRd1Vob6zDavL1chuJOmK0eoZpCS0IlaLzIZsiaQXpQeAVVMA8+oUX/JHovkYD+iWy+Q12TtuIR6sOFR6upajX677lFRY+P8NjoharzWKBhZwkxII31I9aU/T59G5/qmWvi+HUiz7Ke/cbIceQeHejjbcyh4coq9K15SvthpAIkO9WohOXsJBIEGBUNA6bzree4nHOkPD9A34FXjjs6dFnbc9S9Edu8PlfKJ5E6I1z680J3UkoA749fHfK8wV5lIVqd81LLYQweT7U5ue2AQmAECxcXW0cBDsMv3mQL9wBcdKdxFOb9ZEKkako1REjm5RuIlJ9tcc9X5ZSE1vCh/enj3Lj1UrY2qNeTYCsSoSEoEmIyarDzG9q4Nd5K5fTW8IHKgDbwA3Al4Nu8fQLlc9OnHp8zUXXr6tfVrn/5LfqdjZANCJuIamnlg/kVBpp6364KbdapnI1B1FoEhKUZbqSx9IxgDpj1bY+0R9Apms4vV7bLFQQks8HsBFxZ80dlVxOt//YqOXy6x4oCmg8x5Gxb6z6oHybcO34LUIUHOHuC+Dcc0B+lAQjINHEn395KNcgZiO57Line truncated
+      }
+    }
+  ]
+}
@@ -0,0 +1,32 @@
+{
+  "version": 1,
+  "metadata": {
+    "tags": [
+      "prefix:google-interactions",
+      "provider:google",
+      "protocol:google-interactions"
+    ],
+    "name": "google-interactions/streams-text-and-reports-usage",
+    "recordedAt": "2026-10-03T18:08:32.334Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://generativelanguage.googleapis.com/v1beta/interactions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"gemini-3.8-flash\",\"input\":[{\"type\":\"user_input\",\"content\":[{\"type\":\"text\",\"text\":\"Reply with exactly one word: hello\"}]}],\"stream\":true,\"store\":false,\"generation_config\":{\"max_output_tokens\":2048,\"thinking_level\":\"low\"}}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "event: interaction.created\ndata: {\"interaction\":{\"object\":\"interaction\",\"model\":\"gemini-3.8-flash\"},\"event_type\":\"interaction.created\"}\n\nevent: interaction.status_update\ndata: {\"status\":\"in_progress\",\"event_type\":\"interaction.status_update\"}\n\nevent: step.start\ndata: {\"index\":0,\"step\":{\"type\":\"thought\"},\"event_type\":\"step.start\"}\n\nevent: step.delta\ndata: {\"index\":0,\"delta\":{\"signature\":\"EmkKZwFpFH0TKZDuA7i8rhztLxjVI9+u+bpJI/x6/j60nie/dFgj5TyzAJCDDZQYfmeXEBrujJcdKT5FiKPuuMYWq1shTTILJ1JQpG2WkGAk6rAxxgxp7Ac0+rporJ7knHFF/jVWQD+AYGY=\",\"type\":\"thought_signature\"},\"event_type\":\"step.delta\"}\n\nevent: step.stop\ndata: {\"index\":0,\"event_type\":\"step.stop\"}\n\nevent: step.start\ndata: {\"index\":1,\"step\":{\"type\":\"model_output\"},\"event_type\":\"step.start\"}\n\nevent: step.delta\ndata: {\"index\":1,\"delta\":{\"text\":\"hello\",\"type\":\"text\"},\"event_type\":\"step.delta\"}\n\nevent: step.stop\ndata: {\"index\":1,\"event_type\":\"step.stop\"}\n\nevent: interaction.completed\ndata: {\"interaction\":{\"status\":\"completed\",\"usage\":{\"total_tokens\":9,\"total_input_tokens\":8,\"input_tokens_by_modality\":[{\"modality\":\"text\",\"tokens\":8}],\"total_cached_tokens\":0,\"total_output_tokens\":1,\"total_tool_use_tokens\":0,\"total_thought_tokens\":0,\"raw_prompt_token\":39,\"model_invocation_token_counts\":[{\"prompt_tokens_details\":[{\"modality\":\"text\",\"tokens\":39}],\"candidates_tokens_details\":[{\"modality\":\"text\",\"tokens\":5}]}],\"non_grounding_model_invocation_token_counts\":[{\"prompt_tokens_details\":[{\"modality\":\"text\",\"tokens\":39}],\"candidates_tokens_details\":[{\"modality\":\"text\",\"tokens\":5}]}]},\"created\":\"2026-10-03T18:08:32Z\",\"updated\":\"2026-10-03T18:08:32Z\",\"service_tier\":\"standard\",\"object\":\"interaction\",\"model\":\"gemini-3.8-flash\"},\"event_type\":\"interaction.completed\"}\n\nevent: done\ndata: [DONE]\n\n"
+      }
+    }
+  ]
+}
@@ -2,9 +2,16 @@
  "version": 1,
  "metadata": {
    "model": "mistral-small-latest",
-    "tags": ["prefix:mistral-chat", "provider:mistral", "protocol:mistral-chat", "tool", "tool-loop", "usage"],
+    "tags": [
+      "prefix:mistral-chat",
+      "provider:mistral",
+      "protocol:mistral-chat",
+      "tool",
+      "tool-loop",
+      "usage"
+    ],
    "name": "mistral-chat/drives-a-tool-loop",
-    "recordedAt": "2026-08-30T17:18:49.552Z"
+    "recordedAt": "2026-10-03T04:09:49.878Z"
  },
  "interactions": [
    {
@@ -15,14 +22,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"mistral-small-latest\",\"messages\":[{\"role\":\"system\",\"content\":\"Call lookup_weather exactly once with Paris.\"},{\"role\":\"user\",\"content\":\"What is the weather?\"}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"lookup_weather\",\"description\":\"Look up the current weather for a city\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false},\"strict\":false}}],\"tool_choice\":{\"type\":\"function\",\"function\":{\"name\":\"lookup_weather\"}},\"stream\":true,\"max_tokens\":160,\"temperature\":0,\"reasoning_effort\":\"none\"}"
+        "body": "{\"model\":\"mistral-small-latest\",\"messages\":[{\"role\":\"system\",\"content\":[{\"type\":\"text\",\"text\":\"Call lookup_weather exactly once with Paris.\"},{\"type\":\"text\",\"text\":\"After the tool result, describe the weather briefly.\"}]},{\"role\":\"user\",\"content\":\"What is the weather?\"}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"lookup_weather\",\"description\":\"Look up the current weather for a city\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false},\"strict\":false}}],\"tool_choice\":{\"type\":\"function\",\"function\":{\"name\":\"lookup_weather\"}},\"stream\":true,\"max_tokens\":160,\"temperature\":0,\"reasoning_effort\":\"none\"}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream; charset=utf-8"
        },
-        "body": "data: {\"id\":\"07491e37a5ed48f9987f1583753a466b\",\"object\":\"chat.completion.chunk\",\"created\":1788110328,\"model\":\"mistral-small-latest\",\"choices\":[{\"index\":0,\"delta\":{\"role\":\"assistant\",\"content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"id\":\"07491e37a5ed48f9987f1583753a466b\",\"object\":\"chat.completion.chunk\",\"created\":1788110328,\"model\":\"mistral-small-latest\",\"choices\":[{\"index\":0,\"delta\":{\"tool_calls\":[{\"id\":\"ffJovBNqY\",\"type\":\"function\",\"function\":{\"name\":\"lookup_weather\",\"arguments\":\"{\\\"city\\\": \\\"Paris\\\"}\"},\"index\":0}]},\"finish_reason\":\"tool_calls\"}],\"usage\":{\"prompt_tokens\":110,\"total_tokens\":122,\"completion_tokens\":12,\"prompt_tokens_details\":{\"cached_tokens\":0},\"service_tier\":\"standard\"},\"p\":\"abcdefghijklm\"}\n\ndata: [DONE]\n\n"
+        "body": "data: {\"id\":\"81417fdbfbeb4714ae737aab701cbee4\",\"object\":\"chat.completion.chunk\",\"created\":1791000589,\"model\":\"mistral-small-latest\",\"choices\":[{\"index\":0,\"delta\":{\"role\":\"assistant\",\"content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"id\":\"81417fdbfbeb4714ae737aab701cbee4\",\"object\":\"chat.completion.chunk\",\"created\":1791000589,\"model\":\"mistral-small-latest\",\"choices\":[{\"index\":0,\"delta\":{\"tool_calls\":[{\"id\":\"EwgHkPRLW\",\"type\":\"function\",\"function\":{\"name\":\"lookup_weather\",\"arguments\":\"{\\\"city\\\": \\\"Paris\\\"}\"},\"index\":0}]},\"finish_reason\":\"tool_calls\"}],\"usage\":{\"prompt_tokens\":120,\"total_tokens\":132,\"completion_tokens\":12,\"prompt_tokens_details\":{\"cached_tokens\":0},\"service_tier\":\"standard\"},\"p\":\"abcdefghij\"}\n\ndata: [DONE]\n\n"
      }
    },
    {
@@ -33,14 +40,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"mistral-small-latest\",\"messages\":[{\"role\":\"system\",\"content\":\"Call lookup_weather exactly once with Paris.\"},{\"role\":\"user\",\"content\":\"What is the weather?\"},{\"role\":\"assistant\",\"content\":\"\",\"tool_calls\":[{\"id\":\"ffJovBNqY\",\"type\":\"function\",\"function\":{\"name\":\"lookup_weather\",\"arguments\":\"{\\\"city\\\":\\\"Paris\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"ffJovBNqY\",\"name\":\"lookup_weather\",\"content\":\"{\\\"condition\\\":\\\"sunny\\\",\\\"temperature\\\":\\\"18C\\\"}\"}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"lookup_weather\",\"description\":\"Look up the current weather for a city\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false},\"strict\":false}}],\"tool_choice\":\"none\",\"stream\":true,\"max_tokens\":160,\"temperature\":0,\"reasoning_effort\":\"none\"}"
+        "body": "{\"model\":\"mistral-small-latest\",\"messages\":[{\"role\":\"system\",\"content\":[{\"type\":\"text\",\"text\":\"Call lookup_weather exactly once with Paris.\"},{\"type\":\"text\",\"text\":\"After the tool result, describe the weather briefly.\"}]},{\"role\":\"user\",\"content\":\"What is the weather?\"},{\"role\":\"assistant\",\"content\":\"\",\"tool_calls\":[{\"id\":\"EwgHkPRLW\",\"type\":\"function\",\"function\":{\"name\":\"lookup_weather\",\"arguments\":\"{\\\"city\\\":\\\"Paris\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"EwgHkPRLW\",\"name\":\"lookup_weather\",\"content\":\"{\\\"condition\\\":\\\"sunny\\\",\\\"temperature\\\":\\\"18C\\\"}\"}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"lookup_weather\",\"description\":\"Look up the current weather for a city\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false},\"strict\":false}}],\"tool_choice\":\"none\",\"stream\":true,\"max_tokens\":160,\"temperature\":0,\"reasoning_effort\":\"none\"}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream; charset=utf-8"
        },
-        "body": "data: {\"id\":\"8fcd293093b849139fc0893a48bbc7ce\",\"object\":\"chat.completion.chunk\",\"created\":1788110328,\"model\":\"mistral-small-latest\",\"choices\":[{\"index\":0,\"delta\":{\"role\":\"assistant\",\"content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"id\":\"8fcd293093b849139fc0893a48bbc7ce\",\"object\":\"chat.completion.chunk\",\"created\":1788110328,\"model\":\"mistral-small-latest\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"The\"},\"finish_reason\":null}],\"p\":\"abcdefghijklmn\"}\n\ndata: {\"id\":\"8fcd293093b849139fc0893a48bbc7ce\",\"object\":\"chat.completion.chunk\",\"created\":1788110328,\"model\":\"mistral-small-latest\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\" weather in Paris is\"},\"finish_reason\":null}],\"p\":\"abcdefghijklmn\"}\n\ndata: {\"id\":\"8fcd293093b849139fc0893a48bbc7ce\",\"object\":\"chat.completion.chunk\",\"created\":1788110328,\"model\":\"mistral-small-latest\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\" currently sunny with\"},\"finish_reason\":null}],\"p\":\"abcdefghijklmnopqrstu\"}\n\ndata: {\"id\":\"8fcd293093b849139fc0893a48bbc7ce\",\"object\":\"chat.completion.chunk\",\"created\":1788110328,\"model\":\"mistral-small-latest\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\" a temperature of \"},\"finish_reason\":null}],\"p\":\"abcdef\"}\n\ndata: {\"id\":\"8fcd293093b849139fc0893a48bbc7ce\",\"object\":\"chat.completion.chunk\",\"created\":1788110328,\"model\":\"mistral-small-latest\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"18°C\"},\"finish_reason\":null}],\"p\":\"abcdefghijklmnopqr\"}\n\ndata: {\"id\":\"8fcd293093b849139fc0893a48bbc7ce\",\"object\":\"chat.completion.chunk\",\"created\":1788110328,\"model\":\"mistral-small-latest\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\".\"},\"finish_reason\":\"stop\"}],\"usage\":{\"prompt_tokens\":57,\"total_tokens\":74,\"completion_tokens\":17,\"prompt_tokens_details\":{\"cached_tokens\":0},\"service_tier\":\"standard\"},\"p\":\"abcdefghijklmnopqrstuvwxyz\"}\n\ndata: [DONE]\n\n"
+        "body": "data: {\"id\":\"a46eb8ccd1b947ca9d360c3446b295a5\",\"object\":\"chat.completion.chunk\",\"created\":1791000589,\"model\":\"mistral-small-latest\",\"choices\":[{\"index\":0,\"delta\":{\"role\":\"assistant\",\"content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"id\":\"a46eb8ccd1b947ca9d360c3446b295a5\",\"object\":\"chat.completion.chunk\",\"created\":1791000589,\"model\":\"mistral-small-latest\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"The\"},\"finish_reason\":null}],\"p\":\"abcdefghijklmnopqrstuvwxyz01234\"}\n\ndata: {\"id\":\"a46eb8ccd1b947ca9d360c3446b295a5\",\"object\":\"chat.completion.chunk\",\"created\":1791000589,\"model\":\"mistral-small-latest\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\" weather in Paris is\"},\"finish_reason\":null}],\"p\":\"abcdefghijkl\"}\n\ndata: {\"id\":\"a46eb8ccd1b947ca9d360c3446b295a5\",\"object\":\"chat.completion.chunk\",\"created\":1791000589,\"model\":\"mistral-small-latest\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\" currently sunny with a\"},\"finish_reason\":null}],\"p\":\"abcdefghijklmn\"}\n\ndata: {\"id\":\"a46eb8ccd1b947ca9d360c3446b295a5\",\"object\":\"chat.completion.chunk\",\"created\":1791000589,\"model\":\"mistral-small-latest\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\" temperature of 1\"},\"finish_reason\":null}],\"p\":\"abcdefghi\"}\n\ndata: {\"id\":\"a46eb8ccd1b947ca9d360c3446b295a5\",\"object\":\"chat.completion.chunk\",\"created\":1791000589,\"model\":\"mistral-small-latest\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"8°C\"},\"finish_reason\":null}],\"p\":\"abcdefghijklmnopqrstuvwx\"}\n\ndata: {\"id\":\"a46eb8ccd1b947ca9d360c3446b295a5\",\"object\":\"chat.completion.chunk\",\"created\":1791000589,\"model\":\"mistral-small-latest\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\".\"},\"finish_reason\":\"stop\"}],\"usage\":{\"prompt_tokens\":67,\"total_tokens\":84,\"completion_tokens\":17,\"prompt_tokens_details\":{\"cached_tokens\":0},\"service_tier\":\"standard\"},\"p\":\"abcdefghijklmnopqrs\"}\n\ndata: [DONE]\n\n"
      }
    }
  ]
@@ -0,0 +1,169 @@
+import { describe, expect } from "bun:test"
+import { Deferred, Effect, Fiber } from "effect"
+import * as TestClock from "effect/testing/TestClock"
+import { HttpOptions, LLM, mergeHttpOptions } from "../src/index.js"
+import { LLMClient } from "../src/route.js"
+import { configure } from "../src/providers/openai.js"
+import { dynamicResponse } from "./lib/http.js"
+import { deltaChunk, finishChunk } from "./lib/openai-chunks.js"
+import { sseEvents, sseRaw } from "./lib/sse.js"
+import { it } from "./lib/effect.js"
+
+const model = configure({ baseURL: "https://api.openai.test/v1/", apiKey: "test" }).chat("gpt-4.1-mini")
+const SSE = { headers: { "content-type": "text/event-stream" } }
+
+const silentServer = dynamicResponse(() => Effect.never)
+
+const slowHeadersServer = dynamicResponse((input) =>
+  Effect.sleep("10 minutes").pipe(
+    Effect.as(input.respond(sseEvents(deltaChunk({ role: "assistant", content: "Hi" }), finishChunk("stop")), SSE)),
+  ),
+)
+
+// Sends one chunk, then stalls until `resume` releases the rest of the body.
+const stalledServer = Effect.gen(function* () {
+  const stalled = yield* Deferred.make<void>()
+  let resume = () => {}
+  const released = new Promise<void>((resolve) => {
+    resume = resolve
+  })
+  const encoder = new TextEncoder()
+  const layer = dynamicResponse((input) =>
+    Effect.sync(() =>
+      input.respond(
+        new ReadableStream<Uint8Array>({
+          start(controller) {
+            controller.enqueue(encoder.encode(sseRaw(`data: ${JSON.stringify(deltaChunk({ content: "Hi" }))}`)))
+          },
+          async pull(controller) {
+            Deferred.doneUnsafe(stalled, Effect.void)
+            await released
+            controller.enqueue(encoder.encode(sseEvents(finishChunk("stop"))))
+            controller.close()
+          },
+        }),
+        SSE,
+      ),
+    ),
+  )
+  return { layer, stalled, resume: () => resume() }
+})
+
+describe("HTTP transport timeouts", () => {
+  it.effect("fails when response headers take longer than five minutes", () =>
+    Effect.gen(function* () {
+      const fiber = yield* LLMClient.generate(LLM.request({ model, prompt: "Hello" })).pipe(
+        Effect.provide(silentServer),
+        Effect.flip,
+        Effect.forkChild({ startImmediately: true }),
+      )
+      yield* TestClock.adjust("5 minutes")
+      const error = yield* Fiber.join(fiber)
+
+      expect(error.reason).toMatchObject({
+        _tag: "Transport",
+        transport: "http",
+        operation: "request",
+        code: "Timeout",
+      })
+    }),
+  )
+
+  it.effect("fails when the response body stalls for five minutes", () =>
+    Effect.gen(function* () {
+      const server = yield* stalledServer
+      const fiber = yield* LLMClient.generate(LLM.request({ model, prompt: "Hello" })).pipe(
+        Effect.provide(server.layer),
+        Effect.flip,
+        Effect.forkChild({ startImmediately: true }),
+      )
+      yield* Deferred.await(server.stalled)
+      yield* Effect.yieldNow
+      yield* TestClock.adjust("5 minutes")
+      const error = yield* Fiber.join(fiber)
+
+      expect(error.reason).toMatchObject({ _tag: "Transport", transport: "http", operation: "read", code: "Timeout" })
+      expect(error.reason.http).toMatchObject({ status: 200 })
+    }),
+  )
+
+  it.effect("applies a configured header timeout", () =>
+    Effect.gen(function* () {
+      const fiber = yield* LLMClient.generate(
+        LLM.request({ model, prompt: "Hello", http: { headerTimeout: 1_000 } }),
+      ).pipe(Effect.provide(silentServer), Effect.flip, Effect.forkChild({ startImmediately: true }))
+      yield* TestClock.adjust("1 second")
+      const error = yield* Fiber.join(fiber)
+
+      expect(error.reason).toMatchObject({ _tag: "Transport", operation: "request", code: "Timeout" })
+    }),
+  )
+
+  it.effect("disables the header timeout with false", () =>
+    Effect.gen(function* () {
+      const fiber = yield* LLMClient.generate(
+        LLM.request({ model, prompt: "Hello", http: { headerTimeout: false } }),
+      ).pipe(Effect.provide(slowHeadersServer), Effect.forkChild({ startImmediately: true }))
+      yield* TestClock.adjust("10 minutes")
+      const response = yield* Fiber.join(fiber)
+
+      expect(response.text).toBe("Hi")
+    }),
+  )
+
+  it.effect("disables the chunk timeout with false", () =>
+    Effect.gen(function* () {
+      const server = yield* stalledServer
+      const fiber = yield* LLMClient.generate(
+        LLM.request({ model, prompt: "Hello", http: { chunkTimeout: false } }),
+      ).pipe(Effect.provide(server.layer), Effect.forkChild({ startImmediately: true }))
+      yield* Deferred.await(server.stalled)
+      yield* Effect.yieldNow
+      yield* TestClock.adjust("10 minutes")
+      server.resume()
+      const response = yield* Fiber.join(fiber)
+
+      expect(response.text).toBe("Hi")
+    }),
+  )
+
+  it.effect("applies a whole-request timeout while the body is still streaming", () =>
+    Effect.gen(function* () {
+      const server = yield* stalledServer
+      const fiber = yield* LLMClient.generate(
+        LLM.request({ model, prompt: "Hello", http: { timeout: 60_000, chunkTimeout: false } }),
+      ).pipe(Effect.provide(server.layer), Effect.flip, Effect.forkChild({ startImmediately: true }))
+      yield* Deferred.await(server.stalled)
+      yield* Effect.yieldNow
+      yield* TestClock.adjust("1 minute")
+      const error = yield* Fiber.join(fiber)
+
+      expect(error.reason).toMatchObject({ _tag: "Transport", operation: "read", code: "Timeout" })
+    }),
+  )
+
+  it.effect("bounds the header wait by a shorter whole-request timeout", () =>
+    Effect.gen(function* () {
+      const fiber = yield* LLMClient.generate(
+        LLM.request({ model, prompt: "Hello", http: { timeout: 1_000, headerTimeout: false } }),
+      ).pipe(Effect.provide(silentServer), Effect.flip, Effect.forkChild({ startImmediately: true }))
+      yield* TestClock.adjust("1 second")
+      const error = yield* Fiber.join(fiber)
+
+      expect(error.reason).toMatchObject({ _tag: "Transport", operation: "request", code: "Timeout" })
+    }),
+  )
+
+  it.effect("merges timeouts with later values winning", () =>
+    Effect.sync(() => {
+      const merged = mergeHttpOptions(
+        new HttpOptions({ timeout: 5_000, headerTimeout: 1_000, chunkTimeout: 2_000 }),
+        new HttpOptions({ headers: { a: "b" } }),
+        new HttpOptions({ chunkTimeout: false }),
+      )
+
+      expect(merged).toMatchObject({ headers: { a: "b" }, timeout: 5_000, headerTimeout: 1_000, chunkTimeout: false })
+      expect(mergeHttpOptions(new HttpOptions({}), undefined)).toBeUndefined()
+    }),
+  )
+})
@@ -15,6 +15,7 @@ describe("provider error classification", () => {
      "Prompt has 5,958,968 tokens, but the configured context size is 256,000 tokens",
      "Range of input length should be [1, 129024]",
      "Too many tokens",
+      "Input validation error: `inputs` tokens + `max_new_tokens` must be <= 131073. Given: 600035 `inputs` tokens and 16 `max_new_tokens`",
      "Token limit exceeded",
    ]

@@ -461,6 +462,27 @@ describe("provider error rawBody classification", () => {
    expect(reason._tag === "InvalidRequest" ? reason.classification : reason._tag).toBe("context-overflow")
  })

+  test("separates Cohere prompt overflow from output limit rejections", () => {
+    const classify = (message: string) => {
+      const reason = classifyProviderFailure({
+        message,
+        status: 400,
+        rawBody: JSON.stringify({ error_type: "TOO_MANY_TOKENS", message }),
+      })
+      return reason._tag === "InvalidRequest" ? reason.classification : reason._tag
+    }
+    expect(
+      classify(
+        "too many tokens: size limit exceeded by 168512 tokens. Try using shorter or fewer inputs. The limit for this model is 132000 tokens.",
+      ),
+    ).toBe("context-overflow")
+    expect(
+      classify(
+        "too many tokens: max tokens must be less than or equal to 4096, the maximum output length for this model - received 1000000.",
+      ),
+    ).toBeUndefined()
+  })
+
  test("classifies invalid API keys reported as HTTP 400 as authentication failures", () => {
    const rawBody = JSON.stringify({
      error: {
@@ -121,6 +121,25 @@ describe("provider package entrypoints", () => {
    })
  })

+  test("maps Cohere entrypoints onto native and compatibility routes", async () => {
+    const modules = await Promise.all([
+      import("@opencode/ai/providers/cohere"),
+      import("@opencode/ai/providers/cohere/chat"),
+    ])
+    const settings = { apiKey: "fixture", headers: { "x-test": "fixture" }, body: { future_option: true } }
+    const routes = [
+      ["cohere-chat", "https://api.cohere.com/v2"],
+      ["cohere-chat-completions", "https://api.cohere.ai/compatibility/v1"],
+    ]
+    modules.forEach((module, index) => {
+      const selected = module.model("command-a-03-2025", settings)
+      expect(selected.provider).toBe("cohere")
+      expect([selected.route.id, selected.route.endpoint.baseURL]).toEqual(routes[index])
+      expect(selected.route.defaults.headers).toEqual(settings.headers)
+      expect(selected.route.defaults.http?.body).toEqual(settings.body)
+    })
+  })
+
  test("maps MiniMax API entrypoints onto provider-owned routes", async () => {
    const modules = await Promise.all([
      import("@opencode/ai/providers/minimax"),
@@ -411,6 +430,7 @@ describe("provider package entrypoints", () => {

  test("maps Google package settings onto the Gemini model", async () => {
    const Google = await import("@opencode/ai/providers/google")
+    const GoogleInteractions = await import("@opencode/ai/providers/google/interactions")
    const selected = Google.model("gemini-2.5-flash", {
      apiKey: "fixture",
      baseURL: "https://generativelanguage.test/v1beta",
@@ -424,6 +444,16 @@ describe("provider package entrypoints", () => {
    expect(selected.route.defaults.headers).toEqual({ "x-application": "opencode" })
    expect(selected.route.defaults.http?.body).toEqual({ safetySettings: [] })
    expect(selected.route.defaults.providerOptions).toEqual({ thinkingConfig: { thinkingBudget: 1_024 } })
+    const interactions = GoogleInteractions.model("gemini-3.8-flash", {
+      apiKey: "fixture",
+      baseURL: "https://generativelanguage.test/v1beta",
+      thinkingLevel: "low",
+      store: true,
+    })
+    expect(interactions.route.id).toBe("google-interactions")
+    expect(interactions.route.endpoint.baseURL).toBe("https://generativelanguage.test/v1beta")
+    expect(interactions.route.defaults.providerOptions).toEqual({ thinkingLevel: "low", store: true })
+    expect(Google.configure().interactions("gemini-3.8-flash").route.protocol).toBe("google-interactions")
  })

  test("selects Vertex entrypoints with the same model contract", async () => {
@@ -314,6 +314,9 @@ describe("Anthropic Messages route", () => {
        "claude-haiku-5-1",
        "claude-fable-6",
        "anthropic/claude-mythos-7.2",
+        "claude-sonnet-5-5",
+        "claude-opus-4-8@20260101",
+        "claude-nova-6",
      ]

      const prepared = yield* Effect.forEach(ids, (id) =>
@@ -1673,6 +1676,40 @@ describe("Anthropic Messages route", () => {
    }),
  )

+  it.effect("carries a refusal's category and explanation on the content-filter finish", () =>
+    Effect.gen(function* () {
+      const refusal = (stop_details: unknown) =>
+        LLMClient.generate(request).pipe(
+          Effect.provide(
+            fixedResponse(
+              sseEvents(
+                { type: "message_start", message: { usage: { input_tokens: 5 } } },
+                { type: "message_delta", delta: { stop_reason: "refusal", stop_details }, usage: { output_tokens: 0 } },
+                { type: "message_stop" },
+              ),
+            ),
+          ),
+        )
+
+      expect(
+        (yield* refusal({
+          type: "refusal",
+          category: "cyber",
+          explanation: "This request was declined because it could enable cyber harm.",
+        })).finishReason,
+      ).toEqual({
+        normalized: "content-filter",
+        raw: "refusal",
+        category: "cyber",
+        explanation: "This request was declined because it could enable cyber harm.",
+      })
+      expect((yield* refusal({ type: "refusal", category: null, explanation: null })).finishReason).toEqual({
+        normalized: "content-filter",
+        raw: "refusal",
+      })
+    }),
+  )
+
  it.effect("assembles streamed tool call input", () =>
    Effect.gen(function* () {
      const body = sseEvents(
@@ -648,6 +648,177 @@ describe("Bedrock Converse route", () => {
    }),
  )

+  it.effect("hoists tool-result images beside the result for Bedrock GPT models", () =>
+    Effect.gen(function* () {
+      const prepared = yield* compileRequest(
+        LLM.request({
+          model: AmazonBedrock.configure({ baseURL: "https://bedrock-runtime.test", apiKey: "test-bearer" }).model(
+            "global.openai.gpt-6-sol",
+          ),
+          messages: [
+            Message.user("What is in this image?"),
+            Message.assistant([ToolCallPart.make({ id: "tool_1", name: "read", input: {} })]),
+            Message.tool({
+              id: "tool_1",
+              name: "read",
+              result: {
+                type: "content",
+                value: [
+                  { type: "text", text: "Image loaded." },
+                  { type: "file", uri: "data:image/png;base64,AAAA", mime: "image/png" },
+                  { type: "file", uri: "data:application/pdf;base64,QkI=", mime: "application/pdf", name: "note.pdf" },
+                ],
+              },
+            }),
+          ],
+          cache: "none",
+        }),
+      )
+
+      expect(prepared.body.messages[2]).toEqual({
+        role: "user",
+        content: [
+          {
+            toolResult: {
+              toolUseId: "tool_1",
+              content: [
+                { text: "Image loaded." },
+                { text: 'Attached file "note.pdf" has document label "note".' },
+                { document: { format: "pdf", name: "note", source: { bytes: "QkI=" } } },
+              ],
+              status: "success",
+            },
+          },
+          { image: { format: "png", source: { bytes: "AAAA" } } },
+        ],
+      })
+    }),
+  )
+
+  it.effect("hoists tool-result images for other Bedrock model families", () =>
+    Effect.gen(function* () {
+      for (const id of [
+        "qwen.qwen3-vl-235b-a22b",
+        "global.xai.grok-4.7",
+        "global.moonshotai.kimi-k3",
+        "us.meta.llama4-scout-17b-instruct-v1:0",
+      ]) {
+        const prepared = yield* compileRequest(
+          LLM.request({
+            model: AmazonBedrock.configure({ baseURL: "https://bedrock-runtime.test", apiKey: "test-bearer" }).model(
+              id,
+            ),
+            messages: [
+              Message.assistant([ToolCallPart.make({ id: "tool_1", name: "read", input: {} })]),
+              Message.tool({
+                id: "tool_1",
+                name: "read",
+                result: {
+                  type: "content",
+                  value: [{ type: "file", uri: "data:image/png;base64,AAAA", mime: "image/png" }],
+                },
+              }),
+            ],
+            cache: "none",
+          }),
+        )
+        expect(prepared.body.messages[1]).toEqual({
+          role: "user",
+          content: [
+            { toolResult: { toolUseId: "tool_1", content: [{ text: "See attached image." }], status: "success" } },
+            { image: { format: "png", source: { bytes: "AAAA" } } },
+          ],
+        })
+      }
+    }),
+  )
+  ;["global.anthropic.claude-sonnet-4-5-20250929-v1:0", "us.amazon.nova-pro-v1:0"].forEach((id) => {
+    it.effect(`keeps ${id} tool images inside the result`, () =>
+      Effect.gen(function* () {
+        const prepared = yield* compileRequest(
+          LLM.request({
+            model: AmazonBedrock.configure({ baseURL: "https://bedrock-runtime.test", apiKey: "test-bearer" }).model(
+              id,
+            ),
+            messages: [
+              Message.assistant([ToolCallPart.make({ id: "tool_1", name: "read", input: {} })]),
+              Message.tool({
+                id: "tool_1",
+                name: "read",
+                result: {
+                  type: "content",
+                  value: [{ type: "file", uri: "data:image/png;base64,AAAA", mime: "image/png" }],
+                },
+              }),
+            ],
+            cache: "none",
+          }),
+        )
+
+        expect(prepared.body.messages[1]).toEqual({
+          role: "user",
+          content: [
+            {
+              toolResult: {
+                toolUseId: "tool_1",
+                content: [{ image: { format: "png", source: { bytes: "AAAA" } } }],
+                status: "success",
+              },
+            },
+          ],
+        })
+      }),
+    )
+  })
+
+  it.effect("keeps parallel tool results before hoisted images and gives image-only results text", () =>
+    Effect.gen(function* () {
+      const prepared = yield* compileRequest(
+        LLM.request({
+          model: AmazonBedrock.configure({ baseURL: "https://bedrock-runtime.test", apiKey: "test-bearer" }).model(
+            "global.openai.gpt-6-sol",
+          ),
+          messages: [
+            Message.assistant([
+              ToolCallPart.make({ id: "tool_1", name: "first", input: {} }),
+              ToolCallPart.make({ id: "tool_2", name: "second", input: {} }),
+            ]),
+            Message.tool({
+              id: "tool_1",
+              name: "first",
+              result: {
+                type: "content",
+                value: [{ type: "file", uri: "data:image/png;base64,AAAA", mime: "image/png" }],
+              },
+            }),
+            Message.tool({
+              id: "tool_2",
+              name: "second",
+              result: {
+                type: "content",
+                value: [
+                  { type: "text", text: "Second image." },
+                  { type: "file", uri: "data:image/jpeg;base64,BBBB", mime: "image/jpeg" },
+                ],
+              },
+            }),
+          ],
+          cache: "none",
+        }),
+      )
+
+      expect(prepared.body.messages[1]).toEqual({
+        role: "user",
+        content: [
+          { toolResult: { toolUseId: "tool_1", content: [{ text: "See attached image." }], status: "success" } },
+          { toolResult: { toolUseId: "tool_2", content: [{ text: "Second image." }], status: "success" } },
+          { image: { format: "png", source: { bytes: "AAAA" } } },
+          { image: { format: "jpeg", source: { bytes: "BBBB" } } },
+        ],
+      })
+    }),
+  )
+
  it.effect("decodes text-delta + messageStop + metadata usage from binary event stream", () =>
    Effect.gen(function* () {
      const body = eventStreamBody(
@@ -0,0 +1,98 @@
+import { expect } from "bun:test"
+import { Effect } from "effect"
+import { LLM, LLMEvent, LLMRequest, SystemPart } from "../../src/index.js"
+import { Cohere } from "../../src/providers/cohere.js"
+import { LLMClient } from "../../src/route.js"
+import { expectWeatherToolLoop, goldenWeatherToolLoopRequest, runWeatherToolLoop } from "../recorded-scenarios.js"
+import { recordedTests } from "../recorded-test.js"
+
+const recorded = recordedTests({ prefix: "cohere", provider: "cohere", requires: ["COHERE_API_KEY"] })
+const cohere = Cohere.configure({ apiKey: process.env.COHERE_API_KEY ?? "fixture" })
+
+recorded.effect(
+  "streams native text and usage",
+  () =>
+    Effect.gen(function* () {
+      const response = yield* LLMClient.generate(
+        LLM.request({
+          model: cohere.model("command-a-03-2025"),
+          prompt: "Reply exactly: OK",
+          generation: { maxTokens: 64 },
+        }),
+      )
+      expect(response.text.trim()).toMatch(/^OK\.?$/)
+      expect(response.usage.inputTokens).toBeGreaterThan(0)
+      expect(response.usage.outputTokens).toBeGreaterThan(0)
+      expect(response.events.find(LLMEvent.is.finish)?.reason).toEqual({ normalized: "stop", raw: "COMPLETE" })
+      expect(response.usage.providerMetadata?.cohere?.billed_units).toBeDefined()
+    }),
+  60_000,
+)
+
+recorded.effect(
+  "streams native thinking with a budget",
+  () =>
+    Effect.gen(function* () {
+      const response = yield* LLMClient.generate(
+        LLM.request({
+          model: cohere.model("command-a-reasoning-08-2025"),
+          prompt: "What is 17 times 23? Answer briefly.",
+          providerOptions: { thinking: { type: "enabled", tokenBudget: 128 } },
+          generation: { maxTokens: 2048 },
+        }),
+      )
+      expect(response.reasoning.length).toBeGreaterThan(0)
+      expect(response.text).toContain("391")
+      expect(response.usage.reasoningTokens).toBeGreaterThan(0)
+      expect(response.usage.reasoningTokens).toBeLessThanOrEqual(128)
+      expect(response.events.filter(LLMEvent.is.finish)).toHaveLength(1)
+    }),
+  60_000,
+)
+
+recorded.effect(
+  "continues a native tool call",
+  () =>
+    Effect.gen(function* () {
+      const events = yield* runWeatherToolLoop(
+        LLMRequest.update(
+          goldenWeatherToolLoopRequest({
+            id: "cohere-tool-loop",
+            model: cohere.model("command-a-plus-05-2026"),
+            maxTokens: 2048,
+            temperature: false,
+          }),
+          {
+            system: [
+              SystemPart.make("Use the get_weather tool exactly once."),
+              SystemPart.make("After the tool result, reply exactly: Paris is sunny."),
+            ],
+          },
+        ),
+      )
+      expectWeatherToolLoop(events)
+      expect(events.some(LLMEvent.is.toolInputDelta)).toBe(true)
+    }),
+  60_000,
+)
+
+recorded.effect(
+  "streams compatible chat reasoning",
+  () =>
+    Effect.gen(function* () {
+      const response = yield* LLMClient.generate(
+        LLM.request({
+          model: cohere.chat("command-a-reasoning-08-2025"),
+          prompt: "What is 17 times 23? Answer briefly.",
+          providerOptions: { reasoningEffort: "high" },
+          generation: { maxTokens: 2048 },
+        }),
+      )
+      expect(response.reasoning.length).toBeGreaterThan(0)
+      expect(response.text).toContain("391")
+      expect(response.events.find(LLMEvent.is.finish)?.reason.normalized).toBe("stop")
+      expect(response.usage.inputTokens).toBeGreaterThan(0)
+      expect(response.usage.reasoningTokens).toBeGreaterThan(0)
+    }),
+  60_000,
+)
@@ -0,0 +1,272 @@
+import { expect, test } from "bun:test"
+import { Effect } from "effect"
+import { LLM, LLMClient, LLMEvent, Media, Message, SystemPart, isRetryable } from "../../src/index.js"
+import { Cohere } from "../../src/providers/cohere.js"
+import { compileRequest } from "../../src/route/client.js"
+import { it } from "../lib/effect.js"
+import { fixedResponse } from "../lib/http.js"
+import { sseEvents } from "../lib/sse.js"
+
+const cohere = Cohere.configure({ apiKey: "fixture" })
+
+test("Cohere exposes native and compatible endpoints without Core remapping", () => {
+  expect(cohere.model("command-a-03-2025").route.endpoint.baseURL).toBe("https://api.cohere.com/v2")
+  expect(cohere.chat("command-a-03-2025").route.endpoint.baseURL).toBe("https://api.cohere.ai/compatibility/v1")
+  expect(
+    Cohere.model("command-a-03-2025", { apiKey: "fixture", headers: { "X-Test": "yes" }, body: { temperature: 0 } })
+      .route.defaults?.http,
+  ).toMatchObject({ body: { temperature: 0 } })
+})
+
+it.effect("Cohere lowers native history, thinking, tools, and sampling", () =>
+  Effect.gen(function* () {
+    const prepared = yield* compileRequest(
+      LLM.request({
+        model: cohere.model("command-a-reasoning-08-2025"),
+        system: [SystemPart.make("Be concise.\nKeep this newline."), SystemPart.make("Second instructions.")],
+        messages: [
+          Message.user("Lookup Paris"),
+          Message.assistant([{ type: "tool-call", id: "lookup-1", name: "lookup", input: { city: "Paris" } }]),
+          Message.tool({ id: "lookup-1", name: "lookup", result: { sunny: true } }),
+        ],
+        tools: [{ name: "lookup", description: "Look up a city", inputSchema: { type: "object", properties: {} } }],
+        toolChoice: "required",
+        providerOptions: { thinking: { tokenBudget: 128 } },
+        generation: { maxTokens: 2048, topP: 0.9, topK: 10 },
+      }),
+    )
+    expect(prepared.body).toMatchObject({
+      model: "command-a-reasoning-08-2025",
+      stream: true,
+      p: 0.9,
+      k: 10,
+      max_tokens: 2048,
+      thinking: { type: "enabled", token_budget: 128 },
+      tool_choice: "REQUIRED",
+      messages: [
+        {
+          role: "system",
+          content: [
+            { type: "text", text: "Be concise.\nKeep this newline." },
+            { type: "text", text: "Second instructions." },
+          ],
+        },
+        { role: "user", content: [{ type: "text", text: "Lookup Paris" }] },
+        {
+          role: "assistant",
+          tool_calls: [{ id: "lookup-1", function: { name: "lookup", arguments: '{"city":"Paris"}' } }],
+        },
+        { role: "tool", tool_call_id: "lookup-1", content: '{"sunny":true}' },
+      ],
+    })
+  }),
+)
+
+it.effect("Cohere compatibility omits unsupported OpenAI fields", () =>
+  Effect.gen(function* () {
+    const prepared = yield* compileRequest(
+      LLM.request({
+        model: cohere.chat("command-a-reasoning-08-2025"),
+        prompt: "Hello",
+        providerOptions: { reasoningEffort: "high" },
+        generation: { maxTokens: 64 },
+      }),
+    )
+    expect(prepared.body).toMatchObject({ reasoning_effort: "high", max_tokens: 64, stream: true })
+    expect(prepared.body.stream_options).toEqual({ include_usage: true })
+    for (const key of ["store", "max_completion_tokens", "parallel_tool_calls", "prompt_cache_key"])
+      expect(prepared.body[key]).toBeUndefined()
+  }),
+)
+
+it.effect("Cohere maps inclusive usage while retaining distinct billed units", () =>
+  Effect.gen(function* () {
+    const response = yield* LLMClient.generate(
+      LLM.request({ model: cohere.model("command-a-03-2025"), prompt: "Hi" }),
+    ).pipe(
+      Effect.provide(
+        fixedResponse(
+          sseEvents(
+            { type: "message-start" },
+            { type: "content-start", index: 0, delta: { message: { content: { type: "thinking", thinking: "" } } } },
+            { type: "content-delta", index: 0, delta: { message: { content: { thinking: "Think" } } } },
+            { type: "content-end", index: 0 },
+            { type: "content-start", index: 1, delta: { message: { content: { type: "text", text: "" } } } },
+            { type: "content-delta", index: 1, delta: { message: { content: { text: "OK" } } } },
+            { type: "content-end", index: 1 },
+            {
+              type: "message-end",
+              delta: {
+                finish_reason: "COMPLETE",
+                usage: {
+                  tokens: { input_tokens: 100, output_tokens: 20, reasoning_tokens: 10 },
+                  billed_units: { input_tokens: 30, output_tokens: 15 },
+                  cached_tokens: 60,
+                },
+              },
+            },
+          ),
+        ),
+      ),
+    )
+    expect(response.text).toBe("OK")
+    expect(response.reasoning).toBe("Think")
+    expect(response.usage).toMatchObject({
+      inputTokens: 100,
+      nonCachedInputTokens: 40,
+      cacheReadInputTokens: 60,
+      outputTokens: 20,
+      reasoningTokens: 10,
+      totalTokens: 120,
+      providerMetadata: { cohere: { billed_units: { input_tokens: 30, output_tokens: 15 } } },
+    })
+    expect(response.events.filter(LLMEvent.is.finish)).toHaveLength(1)
+  }),
+)
+
+it.effect("Cohere rejects incomplete streams", () =>
+  Effect.gen(function* () {
+    const error = yield* LLMClient.generate(
+      LLM.request({ model: cohere.model("command-a-03-2025"), prompt: "Hi" }),
+    ).pipe(Effect.provide(fixedResponse(sseEvents({ type: "message-start" }))), Effect.flip)
+    expect(error.message).toContain("without message-end")
+  }),
+)
+
+it.effect("Cohere preserves native tool plans in continued history", () =>
+  Effect.gen(function* () {
+    const response = yield* LLMClient.generate(
+      LLM.request({ model: cohere.model("command-a-03-2025"), prompt: "Hi" }),
+    ).pipe(
+      Effect.provide(
+        fixedResponse(
+          sseEvents(
+            { type: "message-start" },
+            { type: "tool-plan-delta", delta: { message: { tool_plan: "Look up the weather." } } },
+            {
+              type: "tool-call-start",
+              index: 0,
+              delta: { message: { tool_calls: { id: "lookup-1", function: { name: "lookup", arguments: "" } } } },
+            },
+            {
+              type: "tool-call-delta",
+              index: 0,
+              delta: { message: { tool_calls: { function: { arguments: '{"city":"Paris"}' } } } },
+            },
+            { type: "tool-call-end", index: 0 },
+            { type: "message-end", delta: { finish_reason: "TOOL_CALL" } },
+          ),
+        ),
+      ),
+    )
+    expect(response.toolCalls[0]?.input).toEqual({ city: "Paris" })
+    const prepared = yield* compileRequest(
+      LLM.request({
+        model: cohere.model("command-a-03-2025"),
+        messages: [response.message, Message.tool({ id: "lookup-1", name: "lookup", result: { sunny: true } })],
+      }),
+    )
+    expect(prepared.body.messages).toMatchObject([
+      { role: "assistant", tool_plan: "Look up the weather.", tool_calls: [{ id: "lookup-1" }] },
+      { role: "tool", tool_call_id: "lookup-1" },
+    ])
+  }),
+)
+
+it.effect("Cohere rejects unsupported media instead of silently dropping it", () =>
+  Effect.gen(function* () {
+    const error = yield* compileRequest(
+      LLM.request({
+        model: cohere.model("command-a-03-2025"),
+        messages: [Message.user([{ type: "media", media: Media.base64("Zm9v", "audio/wav") }])],
+      }),
+    ).pipe(Effect.flip)
+    expect(error.reason._tag).toBe("InvalidRequest")
+  }),
+)
+
+it.effect("Cohere thinking budgets must be positive integers", () =>
+  Effect.gen(function* () {
+    const error = yield* compileRequest(
+      LLM.request({
+        model: cohere.model("command-a-reasoning-08-2025"),
+        providerOptions: { thinking: { tokenBudget: 0 } },
+      }),
+    ).pipe(Effect.flip)
+    expect(error.reason._tag).toBe("InvalidRequest")
+  }),
+)
+
+it.effect("Cohere fits thinking budgets under the output limit", () =>
+  Effect.gen(function* () {
+    const prepared = yield* compileRequest(
+      LLM.request({
+        model: cohere.model("command-a-reasoning-08-2025"),
+        prompt: "Hi",
+        providerOptions: { thinking: { tokenBudget: 31_999 } },
+        generation: { maxTokens: 4096 },
+      }),
+    )
+    expect(prepared.body.thinking).toEqual({ type: "enabled", token_budget: 2048 })
+  }),
+)
+
+// Bodies captured live on 2026-10-02, except 402 and 429, which are Cohere's documented messages.
+const errors = [
+  { status: 401, message: "Incorrect API key provided: ***-123.", tag: "Authentication", retry: false },
+  { status: 404, message: "model 'no-such-model-xyz' not found", tag: "InvalidRequest", retry: false },
+  {
+    status: 400,
+    message: "invalid request: temperature must be between 0 and 2.0 inclusive.",
+    tag: "InvalidRequest",
+    retry: false,
+  },
+  {
+    status: 400,
+    error_type: "TOO_MANY_TOKENS",
+    message: "too many tokens: size limit exceeded by 168512 tokens. The limit for this model is 132000 tokens.",
+    tag: "InvalidRequest",
+    classification: "context-overflow",
+    retry: false,
+  },
+  {
+    status: 400,
+    error_type: "TOO_MANY_TOKENS",
+    message:
+      "too many tokens: max tokens must be less than or equal to 4096, the maximum output length for this model - received 1000000.",
+    tag: "InvalidRequest",
+    retry: false,
+  },
+  { status: 402, message: "Please add or update your payment method to continue", tag: "QuotaExceeded", retry: false },
+  {
+    status: 429,
+    message: "You are using a Trial key, which is limited to 40 API calls / minute.",
+    tag: "RateLimit",
+    retry: true,
+  },
+  { status: 500, message: "internal server error", tag: "ProviderInternal", retry: true },
+]
+
+it.effect("Cohere HTTP errors map to AI error reasons", () =>
+  Effect.forEach(errors, (item) =>
+    Effect.gen(function* () {
+      const error = yield* LLMClient.generate(
+        LLM.request({ model: cohere.model("command-a-03-2025"), prompt: "Hi" }),
+      ).pipe(
+        Effect.provide(
+          fixedResponse(JSON.stringify({ id: "fixture", error_type: item.error_type, message: item.message }), {
+            status: item.status,
+            headers: { "content-type": "application/json" },
+          }),
+        ),
+        Effect.flip,
+      )
+      expect({
+        message: error.message,
+        tag: error.reason._tag,
+        classification: error.reason._tag === "InvalidRequest" ? error.reason.classification : undefined,
+        retry: isRetryable(error),
+      }).toEqual({ message: item.message, tag: item.tag, classification: item.classification, retry: item.retry })
+    }),
+  ),
+)
@@ -0,0 +1,78 @@
+import { describe, expect } from "bun:test"
+import { Effect } from "effect"
+import { LLM, LLMRequest } from "../../src/index.js"
+import { DigitalOcean } from "../../src/providers/digitalocean.js"
+import { LLMClient } from "../../src/route.js"
+import {
+  LARGE_CACHEABLE_SYSTEM,
+  expectWeatherToolLoop,
+  goldenWeatherToolLoopRequest,
+  runWeatherToolLoop,
+} from "../recorded-scenarios.js"
+import { recordedTests } from "../recorded-test.js"
+
+const recorded = recordedTests({
+  prefix: "digitalocean-chat",
+  provider: "digitalocean",
+  protocol: "digitalocean-chat",
+  requires: ["DIGITAL_OCEAN_OFFICIAL_API_KEY"],
+})
+
+for (const item of [
+  { id: "anthropic-claude-haiku-4.5", name: "Haiku", maxTokens: 128, providerOptions: undefined },
+  { id: "openai-gpt-5-nano", name: "GPT Nano", maxTokens: 1024, providerOptions: { reasoningEffort: "minimal" } },
+] as const) {
+  const model = DigitalOcean.configure({
+    apiKey: process.env.DIGITAL_OCEAN_OFFICIAL_API_KEY ?? "fixture",
+    providerOptions: item.providerOptions,
+  }).model(item.id)
+
+  describe(`DigitalOcean ${item.name} recorded`, () => {
+    recorded.effect.with(
+      `${item.name} reuses a cached prompt`,
+      { tags: ["cache", "usage"], metadata: { model: item.id } },
+      () =>
+        Effect.gen(function* () {
+          const request = LLM.request({
+            model,
+            system: LARGE_CACHEABLE_SYSTEM,
+            prompt: "Reply exactly: OK",
+            promptCacheKey: `digitalocean-recorded-${item.id}`,
+            generation: { maxTokens: item.maxTokens },
+          })
+          const first = yield* LLMClient.generate(request)
+          const second = yield* LLMClient.generate(request)
+
+          expect(first.text.trim()).toMatch(/^OK\.?$/)
+          expect(second.text.trim()).toMatch(/^OK\.?$/)
+          expect(second.usage.cacheReadInputTokens).toBeGreaterThan(0)
+          for (const response of [first, second]) {
+            expect(response.usage.inputTokens).toBeGreaterThan(4096)
+            expect(response.usage.inputTokens).toBe(
+              (response.usage.nonCachedInputTokens ?? 0) +
+                (response.usage.cacheReadInputTokens ?? 0) +
+                (response.usage.cacheWriteInputTokens ?? 0),
+            )
+          }
+        }),
+      60_000,
+    )
+
+    recorded.effect.with(
+      `${item.name} continues a tool call with cache markers`,
+      { tags: ["cache", "tool", "tool-loop"], metadata: { model: item.id } },
+      () =>
+        Effect.gen(function* () {
+          const request = goldenWeatherToolLoopRequest({
+            id: `digitalocean-${item.id}-tool-loop`,
+            model,
+            maxTokens: item.maxTokens,
+            temperature: false,
+          })
+          const events = yield* runWeatherToolLoop(LLMRequest.update(request, { cache: "auto" }))
+          expectWeatherToolLoop(events)
+        }),
+      60_000,
+    )
+  })
+}
@@ -0,0 +1,123 @@
+import { describe, expect, test } from "bun:test"
+import { Effect } from "effect"
+import { CacheHint, LLM } from "../../src/index.js"
+import { compileRequest } from "../../src/route/client.js"
+import { DigitalOcean } from "../../src/providers/digitalocean.js"
+import { it } from "../lib/effect.js"
+import { fixedResponse } from "../lib/http.js"
+import { sseEvents } from "../lib/sse.js"
+import { LLMClient } from "../../src/route.js"
+
+describe("DigitalOcean", () => {
+  test("preserves package entrypoint headers and body overrides", () => {
+    const model = DigitalOcean.model("anthropic-claude-fable-5.1", {
+      apiKey: "test-key",
+      headers: { "X-Test": "fixture" },
+      body: { temperature: 0 },
+    })
+    expect(model.route.defaults?.http).toMatchObject({
+      headers: { "X-Test": "fixture" },
+      body: { temperature: 0 },
+    })
+  })
+
+  it.effect("prepares DigitalOcean models with default endpoint and auth", () =>
+    Effect.gen(function* () {
+      const model = DigitalOcean.configure({ apiKey: "test-key" }).model("anthropic-claude-fable-5.1")
+
+      expect(model).toMatchObject({
+        id: "anthropic-claude-fable-5.1",
+        provider: "digitalocean",
+        route: { id: "digitalocean" },
+      })
+      expect(model.route.endpoint.baseURL).toBe("https://inference.do-ai.run/v1")
+
+      const prepared = yield* compileRequest(LLM.request({ model, prompt: "Say hello.", cache: "none" }))
+
+      expect(prepared.route).toBe("digitalocean")
+      expect(prepared.body).toMatchObject({
+        model: "anthropic-claude-fable-5.1",
+        messages: [{ role: "user", content: "Say hello." }],
+        stream: true,
+      })
+    }),
+  )
+
+  it.effect("lowers the native cache policy to DigitalOcean cache_control markers", () =>
+    Effect.gen(function* () {
+      const prepared = yield* compileRequest(
+        LLM.request({
+          model: DigitalOcean.configure({ apiKey: "test-key" }).model("anthropic-claude-fable-5.1"),
+          system: [
+            { type: "text", text: "Base agent", cache: new CacheHint({ type: "ephemeral", ttlSeconds: 3_600 }) },
+            { type: "text", text: "Project instructions" },
+          ],
+          tools: [{ name: "lookup", description: "Lookup", inputSchema: { type: "object", properties: {} } }],
+          prompt: "Hello",
+          cache: { tools: true, system: true, messages: { tail: 1 } },
+        }),
+      )
+
+      expect(prepared.body).toMatchObject({
+        tools: [{ cache_control: { type: "ephemeral" } }],
+        messages: [
+          {
+            role: "system",
+            content: [
+              { text: "Base agent", cache_control: { type: "ephemeral", ttl: "1h" } },
+              { text: "Project instructions", cache_control: { type: "ephemeral" } },
+            ],
+          },
+          {
+            role: "user",
+            content: [{ text: "Hello", cache_control: { type: "ephemeral" } }],
+          },
+        ],
+      })
+    }),
+  )
+
+  it.effect("parses DigitalOcean cache usage fields into AI.Usage", () =>
+    Effect.gen(function* () {
+      const model = DigitalOcean.configure({ apiKey: "test-key" }).model("anthropic-claude-fable-5.1")
+      const response = yield* LLMClient.generate(LLM.request({ model, prompt: "Say OK" })).pipe(
+        Effect.provide(
+          fixedResponse(
+            sseEvents(
+              {
+                id: "chatcmpl-1",
+                object: "chat.completion.chunk",
+                created: 1,
+                model: "anthropic-claude-fable-5.1",
+                choices: [{ index: 0, delta: { content: "OK" }, finish_reason: null }],
+              },
+              {
+                id: "chatcmpl-1",
+                object: "chat.completion.chunk",
+                created: 1,
+                model: "anthropic-claude-fable-5.1",
+                choices: [{ index: 0, delta: {}, finish_reason: "stop" }],
+                usage: {
+                  prompt_tokens: 4491,
+                  completion_tokens: 8,
+                  total_tokens: 4499,
+                  cache_read_input_tokens: 4483,
+                  cache_created_input_tokens: 0,
+                },
+              },
+              "[DONE]",
+            ),
+          ),
+        ),
+      )
+
+      expect(response.usage).toMatchObject({
+        inputTokens: 4491,
+        outputTokens: 8,
+        nonCachedInputTokens: 8,
+        cacheReadInputTokens: 4483,
+        totalTokens: 4499,
+      })
+    }),
+  )
+})
@@ -0,0 +1,169 @@
+import { describe, expect } from "bun:test"
+import { Effect, Schema } from "effect"
+import { HttpClientRequest } from "effect/unstable/http"
+import { LLM, LLMEvent, Message } from "../../src/index.js"
+import { Google } from "../../src/providers.js"
+import { LLMClient, RequestExecutor } from "../../src/route.js"
+import { recordedTests } from "../recorded-test.js"
+import { weatherTool } from "../recorded-scenarios.js"
+
+const model = Google.configure({ apiKey: process.env.GEMINI_API_KEY ?? "fixture" }).interactions("gemini-3.8-flash")
+const recorded = recordedTests({
+  prefix: "google-interactions",
+  provider: "google",
+  protocol: "google-interactions",
+  requires: ["GEMINI_API_KEY"],
+})
+const InteractionMetadata = Schema.Struct({ interactionId: Schema.String })
+
+describe("Google Interactions recorded", () => {
+  recorded.effect("streams text and reports usage", () =>
+    Effect.gen(function* () {
+      const response = yield* LLMClient.generate(
+        LLM.request({
+          model,
+          prompt: "Reply with exactly one word: hello",
+          generation: { maxTokens: 2048 },
+          providerOptions: { thinkingLevel: "low" },
+        }),
+      )
+
+      expect(response.text.trim().toLowerCase()).toBe("hello")
+      expect(response.events.some(LLMEvent.is.textDelta)).toBe(true)
+      expect(response.finishReason.normalized).toBe("stop")
+      expect(response.events.filter(LLMEvent.is.finish)).toHaveLength(1)
+      expect(response.usage?.inputTokens).toBeGreaterThan(0)
+      expect(response.usage?.contextTokens).toBeGreaterThan(0)
+      expect(response.usage?.providerMetadata?.google).toMatchObject({ total_input_tokens: expect.any(Number) })
+    }),
+  )
+
+  recorded.effect(
+    "streams reasoning and retains thought signatures",
+    () =>
+      Effect.gen(function* () {
+        const response = yield* LLMClient.generate(
+          LLM.request({
+            model,
+            prompt:
+              "Find the smallest positive integer that leaves remainder 1 modulo 7, 2 modulo 9, and 3 modulo 11. Explain briefly.",
+            generation: { maxTokens: 4096 },
+            providerOptions: { thinkingLevel: "high", thinkingSummaries: "auto" },
+          }),
+        )
+
+        expect(response.reasoning.length).toBeGreaterThan(0)
+        expect(response.events.some(LLMEvent.is.reasoningDelta)).toBe(true)
+        expect(response.events.filter(LLMEvent.is.reasoningEnd)).toEqual(
+          expect.arrayContaining([
+            expect.objectContaining({
+              providerMetadata: { google: { interactionSignature: expect.any(String) } },
+            }),
+          ]),
+        )
+        expect(response.text.length).toBeGreaterThan(0)
+        expect(response.finishReason.normalized).toBe("stop")
+      }),
+    120_000,
+  )
+
+  recorded.effect(
+    "replays native tool results and signatures statelessly",
+    () =>
+      Effect.gen(function* () {
+        const request = LLM.request({
+          model,
+          system: "Use get_weather for weather questions. Answer concisely after receiving the result.",
+          prompt: "What is the weather in Paris?",
+          tools: [weatherTool],
+          toolChoice: { type: "tool", name: weatherTool.name },
+          generation: { maxTokens: 2048 },
+          providerOptions: { thinkingLevel: "low", thinkingSummaries: "auto" },
+        })
+        const first = yield* LLMClient.generate(request)
+
+        expect(first.toolCalls).toHaveLength(1)
+        expect(first.events.some(LLMEvent.is.toolInputDelta)).toBe(true)
+        expect(first.finishReason.normalized).toBe("tool-calls")
+        const call = first.toolCalls[0]
+        if (!call) throw new Error("Missing recorded weather tool call")
+        expect(call.name).toBe(weatherTool.name)
+        expect(call.input).toEqual({ city: "Paris" })
+        expect(call.providerMetadata?.google).toHaveProperty("interactionSignature")
+        const second = yield* LLMClient.generate(
+          LLM.request({
+            model,
+            system: request.system,
+            tools: [weatherTool],
+            toolChoice: "none",
+            generation: { maxTokens: 2048 },
+            providerOptions: { thinkingLevel: "low", thinkingSummaries: "auto" },
+            messages: [
+              ...request.messages,
+              first.message,
+              Message.tool({ id: call.id, name: call.name, result: { temperature: 22, condition: "sunny" } }),
+            ],
+          }),
+        )
+
+        expect(second.text.toLowerCase()).toContain("sunny")
+        expect(second.text).toContain("22")
+        expect(second.toolCalls).toHaveLength(0)
+        expect(second.finishReason.normalized).toBe("stop")
+      }),
+    120_000,
+  )
+
+  recorded.effect(
+    "continues tool results with previous interaction id",
+    () =>
+      Effect.gen(function* () {
+        const request = LLM.request({
+          model,
+          system: "Use get_weather for weather questions. Answer concisely after receiving the result.",
+          prompt: "What is the weather in Paris?",
+          tools: [weatherTool],
+          toolChoice: "required",
+          generation: { maxTokens: 2048 },
+          providerOptions: { thinkingLevel: "low", store: true },
+        })
+        const first = yield* LLMClient.generate(request)
+        const metadata = yield* Schema.decodeUnknownEffect(InteractionMetadata)(
+          first.events.find(LLMEvent.is.finish)?.providerMetadata?.google,
+        )
+        const executor = yield* RequestExecutor.Service
+        const cleanup = executor
+          .execute(
+            HttpClientRequest.delete(
+              `https://generativelanguage.googleapis.com/v1beta/interactions/${metadata.interactionId}`,
+            ).pipe(HttpClientRequest.setHeader("x-goog-api-key", process.env.GEMINI_API_KEY ?? "fixture")),
+          )
+          .pipe(Effect.orDie)
+
+        yield* Effect.gen(function* () {
+          expect(first.toolCalls).toHaveLength(1)
+          const call = first.toolCalls[0]
+          if (!call) throw new Error("Missing recorded weather tool call")
+          const second = yield* LLMClient.generate(
+            LLM.request({
+              model,
+              system: request.system,
+              tools: [weatherTool],
+              toolChoice: "none",
+              generation: { maxTokens: 2048 },
+              providerOptions: { thinkingLevel: "low", previousInteractionId: metadata.interactionId, store: false },
+              messages: [
+                Message.tool({ id: call.id, name: call.name, result: { temperature: 22, condition: "sunny" } }),
+              ],
+            }),
+          )
+
+          expect(second.text.toLowerCase()).toContain("sunny")
+          expect(second.text).toContain("22")
+          expect(second.toolCalls).toHaveLength(0)
+          expect(second.finishReason.normalized).toBe("stop")
+        }).pipe(Effect.ensuring(cleanup))
+      }),
+    120_000,
+  )
+})
@@ -302,6 +302,7 @@ describe("Google Vertex providers", () => {

      expect(model.provider).toBe("google-vertex")
      expect(response.text).toBe("Hello.")
+      expect(response.usage?.providerMetadata).toHaveProperty("vertex")
    }),
  )

@@ -171,6 +171,7 @@ describe("Groq recorded", () => {
        expect(response.text).not.toContain("<think>")
        expect(response.reasoning.length).toBeGreaterThan(0)
        expect(response.events.some(LLMEvent.is.reasoningDelta)).toBe(true)
+        expect(response.usage?.providerMetadata).toHaveProperty("groq")
        expectUsage(response)
      }),
    60_000,
@@ -1,7 +1,7 @@
 import { describe, expect, test } from "bun:test"
 import { ConfigProvider, Effect } from "effect"
 import { HttpClientRequest } from "effect/unstable/http"
-import { LLM, LLMEvent, Message, ToolDefinition, Media } from "../../src/index.js"
+import { LLM, LLMEvent, Message, SystemPart, ToolDefinition, Media } from "../../src/index.js"
 import { Mistral } from "../../src/providers/index.js"
 import { MistralChat } from "../../src/protocols/index.js"
 import { LLMClient } from "../../src/route.js"
@@ -41,7 +41,7 @@ describe("Mistral Chat", () => {
      const prepared = yield* compileRequest(
        LLM.request({
          model,
-          system: "Initial",
+          system: [SystemPart.make("Initial\nKeep this newline."), SystemPart.make("Second instructions.")],
          messages: [
            Message.system("Updated"),
            Message.user([
@@ -105,7 +105,13 @@ describe("Mistral Chat", () => {
        reasoning_effort: "high",
      })
      expect(prepared.body.messages.slice(0, 4)).toMatchObject([
-        { role: "system", content: "Initial" },
+        {
+          role: "system",
+          content: [
+            { type: "text", text: "Initial\nKeep this newline." },
+            { type: "text", text: "Second instructions." },
+          ],
+        },
        { role: "user", content: "<system-update>\nUpdated\n</system-update>" },
        {
          role: "user",
@@ -1,7 +1,7 @@
 import { configure } from "@opencode/ai/providers/mistral"
 import { describe, expect } from "bun:test"
 import { Effect } from "effect"
-import { LLM, LLMEvent, LLMRequest, Message, ToolChoice, ToolDefinition } from "../../src/index.js"
+import { LLM, LLMEvent, LLMRequest, Message, SystemPart, ToolChoice, ToolDefinition } from "../../src/index.js"
 import { LLMClient } from "../../src/route.js"
 import { compileRequest } from "../../src/route/client.js"
 import { recordedTests } from "../recorded-test.js"
@@ -97,7 +97,10 @@ describe("Mistral recorded", () => {
        const model = configure({ apiKey, providerOptions: { reasoningEffort: "none" } }).model("mistral-small-latest")
        const firstRequest = LLM.request({
          model,
-          system: "Call lookup_weather exactly once with Paris.",
+          system: [
+            SystemPart.make("Call lookup_weather exactly once with Paris."),
+            SystemPart.make("After the tool result, describe the weather briefly."),
+          ],
          prompt: "What is the weather?",
          tools: [weather],
          toolChoice: weather,
@@ -48,7 +48,7 @@ describe("native OpenAI-compatible providers", () => {
      [GoogleVertex.configure(vertex).model("model"), "vertex"],
      [GoogleVertexChat.configure(vertex).model("model"), "vertex"],
      [GoogleVertexResponses.configure(vertex).model("model"), "vertex"],
-      [GoogleVertexMessages.configure(vertex).model("model"), "anthropic"],
+      [GoogleVertexMessages.configure(vertex).model("model"), "vertex"],
      [Anthropic.configure({ apiKey: "test" }).model("model"), "anthropic"],
      [
        AnthropicCompatible.configure({ baseURL: "https://example.test/v1", provider: "minimax" }).model("model"),
@@ -64,6 +64,7 @@ describe("native OpenAI-compatible providers", () => {
      [DeepSeek.configure({ apiKey: "test" }).model("model"), "deepseek"],
      [Fireworks.configure({ apiKey: "test" }).model("model"), "fireworks"],
      [DeepInfra.configure({ apiKey: "test" }).model("model"), "deepinfra"],
+      [Groq.configure({ apiKey: "test" }).model("model"), "groq"],
      [TogetherAI.configure({ apiKey: "test" }).model("model"), "togetherai"],
      [CloudflareAIGateway.configure({ accountId: "account" }).model("model"), "cloudflare-ai-gateway"],
      [CloudflareWorkersAI.configure({ accountId: "account" }).model("model"), "cloudflare-workers-ai"],
@@ -2205,7 +2205,7 @@ describe("OpenAI Chat route", () => {
      )

      expect((yield* Ref.get(events)).some((event) => event.type === "text-delta")).toBeTrue()
-      expect(error.message).toBe("ECONNRESET: socket closed unexpectedly")
+      expect(error.message).toBe("Connection lost while reading the response: ECONNRESET: socket closed unexpectedly")
      expect(error.reason).toMatchObject({
        _tag: "Transport",
        transport: "http",
@@ -2223,7 +2223,7 @@ describe("OpenAI Chat route", () => {
        Effect.flip,
      )

-      expect(error.message).toBe("ECONNRESET: socket closed before output")
+      expect(error.message).toBe("Connection lost while reading the response: ECONNRESET: socket closed before output")
      expect(error.reason).toMatchObject({
        _tag: "Transport",
        transport: "http",
@@ -2,6 +2,7 @@
  "$schema": "https://json.schemastore.org/tsconfig.json",
  "extends": "@tsconfig/bun/tsconfig.json",
  "compilerOptions": {
+    "noUnusedLocals": true,
    "module": "NodeNext",
    "moduleResolution": "NodeNext",
    "allowImportingTsExtensions": false,
@@ -0,0 +1,87 @@
+import { fileURLToPath } from "node:url"
+import { expect, story } from "../../storybook/playwright/story"
+
+const source = (path: string) => `/@fs/${fileURLToPath(new URL(path, import.meta.url)).replaceAll("\\", "/")}`
+
+const modules = {
+  fixture: source("../../gui-extensions/src/browser/panel.fixture.tsx"),
+  host: source("../src/runtime/extension/host.tsx"),
+  panels: source("../src/runtime/extension/panels.tsx"),
+  language: source("../src/runtime/i18n/language.tsx"),
+  browser: source("../../gui-extensions/src/browser/index.ts"),
+  browserRenderer: source("../../gui-extensions/src/browser/renderer.tsx"),
+  file: source("../../gui-extensions/src/file/index.ts"),
+  fileRenderer: source("../../gui-extensions/src/file/renderer.tsx"),
+}
+
+story.beforeEach(async ({ mount, page }) => {
+  // Any story loads the app styles; the fixture mounts the real side region and extensions beside it.
+  await mount("ui-line-comment--editor")
+  await page.evaluate(async (modules) => {
+    const [{ mountBrowserRegion }, host, panels, language, browser, file] = await Promise.all([
+      import(modules.fixture),
+      import(modules.host),
+      import(modules.panels),
+      import(modules.language),
+      import(modules.browser),
+      import(modules.file),
+    ])
+
+    mountBrowserRegion({
+      LanguageProvider: language.LanguageProvider,
+      ExtensionHostProvider: host.ExtensionHostProvider,
+      useExtensionHost: host.useExtensionHost,
+      createRegion: panels.createRegion,
+      definitions: [
+        { ...browser.default, renderer: () => import(modules.browserRenderer) },
+        { ...file.default, renderer: () => import(modules.fileRenderer) },
+      ],
+    })
+  }, modules)
+})
+
+story("keeps a restored browser tab selected and undrawn until the desktop's first inventory", async ({ page }) => {
+  const root = page.getByTestId("browser-region-fixture")
+  const tabs = root.getByRole("tab")
+  const tree = root.getByTestId("tree")
+  await expect(root.getByText("Registrations: 1", { exact: true })).toBeVisible()
+  await expect(tabs).toHaveText(["alpha.ts"])
+  await expect(tree).toHaveText('{"tab":"changes"}')
+
+  // Beta was left on its browser tab, which the desktop has not reported yet.
+  await root.getByRole("button", { name: "Beta", exact: true }).click()
+  await expect(root.getByText("Registrations: 2", { exact: true })).toBeVisible()
+  await expect(root.getByTestId("selected")).toHaveText(/^browser:tab_/)
+  await expect(tabs).toHaveText(["beta.ts"])
+  // No fallback tab was selected, so the file tab's selection never switched the tree to All files.
+  await expect(tree).toHaveText('{"tab":"changes"}')
+
+  await root.getByRole("button", { name: "First inventory", exact: true }).click()
+  await expect(tabs).toHaveText(["beta.ts", "Preview"])
+  await expect(root.getByRole("tab", { name: "Preview", exact: true })).toHaveAttribute("aria-selected", "true")
+  await expect(tree).toHaveText('{"tab":"changes"}')
+})
+
+story(
+  "keeps the browser tabs while the pane's Ipc is away and registers them again when it returns",
+  async ({ page }) => {
+    const root = page.getByTestId("browser-region-fixture")
+    const tabs = root.getByRole("tab")
+    await expect(root.getByText("Registrations: 1", { exact: true })).toBeVisible()
+    await root.getByRole("button", { name: "Beta", exact: true }).click()
+    await expect(root.getByText("Registrations: 2", { exact: true })).toBeVisible()
+    await root.getByRole("button", { name: "First inventory", exact: true }).click()
+    await expect(tabs).toHaveText(["beta.ts", "Preview"])
+
+    // The pane's main extension reloads: every binding goes with it, and the strip keeps the tab it will restore.
+    await root.getByRole("button", { name: "Pane away", exact: true }).click()
+    await expect(tabs).toHaveText(["beta.ts", "Preview"])
+    await expect(root.getByRole("tab", { name: "Preview", exact: true })).toHaveAttribute("aria-selected", "true")
+
+    // Both attachments register again at once, without a retry timer; Beta hands main the tab to restore.
+    await root.getByRole("button", { name: "Pane back", exact: true }).click()
+    await expect(root.getByText("Registrations: 4", { exact: true })).toBeVisible()
+    await expect(root.getByText("Beta restores: 1", { exact: true })).toBeVisible()
+    await expect(tabs).toHaveText(["beta.ts", "Preview"])
+  },
+)
@@ -2,23 +2,25 @@ import { fileURLToPath } from "node:url"
 import { expect, story } from "../../storybook/playwright/story"

 const source = (path: string) => `/@fs/${fileURLToPath(new URL(path, import.meta.url)).replaceAll("\\", "/")}`
+
 const modules = {
  fixture: source("../../gui-extensions/src/browser/panel.fixture.tsx"),
-  surface: source("../src/runtime/extension/surface.tsx"),
+  embeds: source("../src/runtime/extension/embeds.tsx"),
  language: source("../src/runtime/i18n/language.tsx"),
 }

 story.beforeEach(async ({ mount, page }) => {
-  // Any story loads the app styles; the fixture mounts the pane beside it on the real host surface.
+  // Any story loads the app styles; the fixture mounts the pane beside it on the real host embeds.
  await mount("ui-line-comment--editor")
  await page.evaluate(async (modules) => {
-    const [{ mountBrowserPane }, { createSurfaces }, language] = await Promise.all([
+    const [{ mountBrowserPane }, { createEmbeds }, language] = await Promise.all([
      import(modules.fixture),
-      import(modules.surface),
+      import(modules.embeds),
      import(modules.language),
    ])
+
    mountBrowserPane({
-      createSurfaces,
+      createEmbeds,
      LanguageProvider: language.LanguageProvider,
      UiI18nBridge: language.UiI18nBridge,
      useLanguage: language.useLanguage,
@@ -26,6 +28,7 @@ story.beforeEach(async ({ mount, page }) => {
  }, modules)
  await expect(page.getByTestId("native-Alpha")).toHaveAttribute("data-visible", "true")
 })
+
 story("hides a native page when another takes the pane, the pane hides, or it unmounts", async ({ page }) => {
  const root = page.getByTestId("browser-pane-fixture")
  const alpha = root.getByTestId("native-Alpha")
@@ -50,11 +53,14 @@ story("hides the native view immediately while the pane stays mounted", async ({
  const root = page.getByTestId("browser-pane-fixture")
  const toggle = root.getByRole("button", { name: "Toggle Review tab", exact: true })
  await expect(toggle).toBeEnabled()
+
  // Read in the same task as the click so a deferred animation-frame hide cannot pass.
  const visible = await toggle.evaluate((element) => {
    element.dispatchEvent(new MouseEvent("click", { bubbles: true }))
+
    return document.querySelector('[data-testid="native-Alpha"]')?.getAttribute("data-visible")
  })
+
  expect(visible).toBe("false")
  await expect(root.locator("#browser-panel")).toHaveCount(1)
  await toggle.click()
@@ -108,6 +114,19 @@ story("comments on a picked element over a still of the page", async ({ page })
  await expect(root.locator('[data-component="browser-comment"]')).toHaveCount(0)
  await expect(root.getByText("Highlights: clear", { exact: true })).toBeVisible()
  await expect(root.getByTestId("native-Alpha")).toHaveAttribute("data-visible", "true")
+
+  // The pane stays mounted when Beta is routed, and its picker then listens to Beta's page.
+  await root.getByRole("button", { name: "Beta", exact: true }).click()
+  await expect(root.getByTestId("native-Beta")).toHaveAttribute("data-visible", "true")
+  await picker.click()
+  await root.getByRole("button", { name: "Pick element", exact: true }).click()
+  await expect(editor).toBeFocused()
+  await editor.fill("Beta's button too")
+  await editor.press("Enter")
+  await expect(root.getByTestId("fixture-comments").getByRole("listitem")).toHaveText([
+    "button.primary @e7: Make this the primary colour",
+    "button.primary @e7: Beta's button too",
+  ])
 })

 story("cancels the picker and a comment with Escape", async ({ page }) => {
@@ -157,6 +176,7 @@ story("keeps the comment editor and its actions inside the page", async ({ page
    .poll(async () => {
      const surface = await root.locator('[data-component="browser-comment"]').boundingBox()
      const box = await editor.boundingBox()
+
      return !!surface && !!box && box.y + box.height <= surface.y + surface.height
    })
    .toBe(true)
@@ -0,0 +1,84 @@
+import { fileURLToPath } from "node:url"
+import type { Definition } from "@opencode/gui-extensions/sdk"
+import { expect, story } from "../../storybook/playwright/story"
+
+const source = (path: string) => `/@fs/${fileURLToPath(new URL(path, import.meta.url)).replaceAll("\\", "/")}`
+
+const modules = {
+  fixture: source("./extension-host.fixture.tsx"),
+  builtins: source("../../gui-extensions/src/renderer.ts"),
+}
+
+story.beforeEach(async ({ mount }) => {
+  // Any story loads the app; the fixture mounts the real host beside it.
+  await mount("ui-line-comment--editor")
+})
+
+// The built-in renderer composition as a graph: `requires` edges must not form a cycle, and every optional (`uses`)
+// edge gets one row that boots the real host with that provider disabled. The first row disables nothing.
+story("built-ins: no requires cycle, and each consumer activates without each optional provider", async ({ page }) => {
+  const result = await page.evaluate(async (modules) => {
+    const [{ mountExtensions, until }, { builtins }] = await Promise.all([
+      import(modules.fixture),
+      import(modules.builtins),
+    ])
+
+    // The window this host serves has no OS, so OS-specific built-ins are left out as the app leaves them out.
+    const composition: readonly Definition[] = builtins
+    const definitions = composition.filter((definition) => !definition.os)
+    const ids = (tokens: Definition["provides"]) => Object.values(tokens ?? {}).map((token) => token.id)
+    const providerOf = (token: string) => definitions.find((definition) => ids(definition.provides).includes(token))?.id
+
+    const requires = new Map(
+      definitions.map((definition) => [
+        definition.id,
+        ids(definition.requires).flatMap((token) => providerOf(token) ?? []),
+      ]),
+    )
+
+    const cycles = definitions.flatMap((definition) => {
+      const walk = (id: string, path: readonly string[]): string[][] =>
+        path.includes(id)
+          ? id === definition.id
+            ? [[...path, id]]
+            : []
+          : (requires.get(id) ?? []).flatMap((next) => walk(next, [...path, id]))
+
+      return walk(definition.id, [])
+    })
+
+    // A renderer that uses the Ipc its own main entry provides depends on no other extension.
+    const edges = definitions.flatMap((consumer) =>
+      ids(consumer.uses).flatMap((token) => {
+        const provider = providerOf(token)
+
+        return provider && provider !== consumer.id ? [{ consumer: consumer.id, provider, token }] : []
+      }),
+    )
+
+    const rows = [{ consumer: "*", provider: "", token: "" }, ...edges]
+    const outcomes = []
+
+    for (const row of rows) {
+      const host = mountExtensions({ definitions, disabled: row.provider ? [row.provider] : [] })
+      host.release()
+      await until(() => host.ready())
+      const consumers = row.consumer === "*" ? definitions.map((definition) => definition.id) : [row.consumer]
+      outcomes.push({
+        ...row,
+        results: consumers.map((id) => ({ id, status: host.status(id), failure: host.failure(id)?.error ?? null })),
+      })
+      host.unmount()
+    }
+
+    return { cycles, outcomes }
+  }, modules)
+
+  expect(result.cycles).toEqual([])
+  expect(result.outcomes).toEqual(
+    result.outcomes.map((outcome) => ({
+      ...outcome,
+      results: outcome.results.map((item) => ({ id: item.id, status: "active", failure: null })),
+    })),
+  )
+})
@@ -1,21 +1,138 @@
 import { DialogProvider } from "@opencode/ui/context/dialog"
-import type { Setup } from "@opencode/gui-extensions/sdk"
-import { createSignal } from "solid-js"
+import {
+  Panel,
+  type Appearance,
+  type Build,
+  type Definition,
+  type Keybinds,
+  type Layout,
+  type Locale,
+  type MountedSession,
+  type Router,
+  type Servers,
+  type SessionScreen,
+  type Setup,
+  type Storage,
+  type StoreOptions,
+  type Workspaces,
+} from "@opencode/gui-extensions/sdk"
+import { createMemo, createSignal, getOwner, onCleanup, runWithOwner, Show, type ParentProps } from "solid-js"
+import { createStore, produce } from "solid-js/store"
+import { Schema } from "effect"
 import { render } from "solid-js/web"
-import { ExtensionHostProvider, useExtensionHost } from "../src/runtime/extension/host"
+import { PlatformProvider, type Platform } from "@/runtime/platform/platform"
+import { Persist, persisted } from "@/runtime/persistence/storage"
+import { ServerScope } from "@/runtime/server/scope"
+import { ExtensionHostProvider, useExtensionHost, type HostApiFactories } from "../src/runtime/extension/host"
+import { createHostApis } from "../src/runtime/extension/host-apis"
+import { createRegion, RegionContent } from "../src/runtime/extension/panels"
+import { ExtensionSlot } from "../src/runtime/extension/render"
+import { persistedHandle } from "../src/runtime/extension/stores"
 import { LanguageProvider } from "../src/runtime/i18n/language"

+export { Contract, createKeyed, Panel, Slot, Store } from "@opencode/gui-extensions/sdk"
+
+export { Schema }
+
+type ExtensionHost = ReturnType<typeof useExtensionHost>
+
+/** What the app interface hands the real host APIs when it mounts. */
+type Interface = Parameters<ReturnType<typeof createHostApis>["attach"]>[0]
+
+/** The host APIs a mounted fixture created, once it rendered. */
+type Captured = { apis?: ReturnType<typeof createHostApis> }
+
+/** A value the fixture's storage holds as JSON. */
+type Json = string | number | boolean | null | readonly Json[] | { readonly [key: string]: Json }
+
+export { createMemo, createSignal, getOwner, onCleanup, runWithOwner }
+
+const layout: Layout = {
+  narrow: () => false,
+  ready: () => true,
+  open() {},
+  close() {},
+  toggle() {},
+  state: () => "closed",
+  stored: () => [],
+  side: { opened: () => false, toggle() {} },
+  sidebar: { opened: () => true },
+  dock: { opened: () => false, placement: () => "bottom" },
+  scroll: { get: () => undefined, set() {} },
+  settings() {},
+  project() {},
+}
+
+const build: Build = { version: "", channel: "dev", platform: "desktop", packaged: false }
+
+const locale: Locale = { locale: () => "en", direction: () => "ltr", setDirection() {} }
+
+const appearance: Appearance = { font: () => "monospace" }
+
+const router: Router = { routing: () => false, path: () => "/" }
+
+const keybinds: Keybinds = { keybind: () => [], keys: (bind) => bind.split("+"), matches: () => false }
+
+const servers: Servers = { list: () => [] }
+
+const workspaces: Workspaces = { on: () => () => undefined }
+
+/** Every HostApi faked at its boundary, with the given storage. */
+function fakeApis(storage: (extension: string) => Storage): HostApiFactories {
+  return {
+    build: () => build,
+    locale: () => locale,
+    appearance: () => appearance,
+    router: () => router,
+    keybinds: () => keybinds,
+    servers: () => servers,
+    workspaces: () => workspaces,
+    desktop: () => undefined,
+    sessions: () => ({ list: () => [], current: () => undefined }),
+    screen: () => ({ current: () => undefined }),
+    layout: () => layout,
+    storage,
+    system: () => ({ copy: async () => {}, save: async () => false, openExternal() {} }),
+    embeds: () => ({ View: () => null, capture: async () => undefined }),
+  }
+}
+
+/** The fake HostApis' app interface, which is always mounted: a dialog shows at once. */
+function mounted(run: () => void) {
+  run()
+
+  return () => undefined
+}
+
+/** Storage that no test of `mountExtensionHost` reads. */
+const unused = (): Storage => {
+  throw new Error("The fixture extension reads no storage")
+}
+
+/** Resolves once `check` holds, checking every frame; rejects after five seconds. */
+export async function until(check: () => boolean) {
+  const deadline = performance.now() + 5000
+
+  while (!check()) {
+    if (performance.now() > deadline) throw new Error("The fixture never reached the expected state")
+    await new Promise((resolve) => requestAnimationFrame(resolve))
+  }
+}
+
 /** Mounts the real extension host with one extension whose every renderer load settles when the test says so. */
 export function mountExtensionHost() {
-  const loads: PromiseWithResolvers<{ default: Setup }>[] = []
+  const loads: PromiseWithResolvers<{ default: Setup<Definition> }>[] = []
  const [disabled, setDisabled] = createSignal<ReadonlySet<string>>(new Set())
-  const state = { host: undefined as ReturnType<typeof useExtensionHost> | undefined }
+  const hosts: ExtensionHost[] = []
  const container = document.createElement("div")
  document.body.appendChild(container)
+
  function Capture() {
-    state.host = useExtensionHost()
+    hosts.push(useExtensionHost())
+
    return null
  }
+
  const dispose = render(
    () => (
      <LanguageProvider locale="en">
@@ -25,14 +142,16 @@ export function mountExtensionHost() {
              {
                id: "fixture",
                renderer: () => {
-                  const load = Promise.withResolvers<{ default: Setup }>()
+                  const load = Promise.withResolvers<{ default: Setup<Definition> }>()
                  loads.push(load)
+
                  return load.promise
                },
              },
            ]}
            disabled={disabled}
-            services={[]}
+            apis={fakeApis(unused)}
+            whenMounted={mounted}
          >
            <Capture />
          </ExtensionHostProvider>
@@ -41,22 +160,359 @@ export function mountExtensionHost() {
    ),
    container,
  )
+
  return {
    unmount: () => {
      dispose()
      container.remove()
    },
    /** Resolves the nth renderer load (the first by default) with this setup. */
-    load: (setup: Setup, index = 0) => loads[index].resolve({ default: setup }),
+    load: (setup: Setup<Definition>, index = 0) => loads[index].resolve({ default: setup }),
    /** Rejects the nth renderer load. */
-    fail: (index: number, error: unknown) => loads[index].reject(error),
+    fail: (index: number, cause: unknown) => loads[index].reject(cause),
    /** Renderer loads requested so far. */
    count: () => loads.length,
-    reload: () => state.host?.reload("fixture"),
+    reload: () => hosts[0]?.reload("fixture"),
    disable: () => setDisabled(new Set(["fixture"])),
    enable: () => setDisabled(new Set<string>()),
-    status: () => state.host?.state.status.fixture,
+    status: () => hosts[0]?.state.status.fixture,
    /** Contributions the host holds for a point; readable after the host unmounts. */
-    entries: (point: string) => state.host?.state.entries[point]?.length ?? 0,
+    entries: (point: string) => hosts[0]?.state.entries[point]?.length ?? 0,
+  }
+}
+
+/**
+ * Mounts the real host over these definitions, before any session mounts, with the HostApis faked at their
+ * boundary. Storage is the real persisted store of a desktop window whose reads wait until `release()`; `stored` seeds
+ * it. Renders the `window.bottom` slot once the startup gate opens.
+ */
+export function mountExtensions(input: {
+  definitions: readonly Definition[]
+  disabled?: readonly string[]
+  stored?: Readonly<Record<string, Json>>
+}) {
+  const held = Promise.withResolvers<void>()
+  const [disabled, setDisabled] = createSignal<ReadonlySet<string>>(new Set(input.disabled ?? []))
+  const hosts: ExtensionHost[] = []
+  const container = document.createElement("div")
+  document.body.appendChild(container)
+
+  const platform: Platform = {
+    platform: "desktop",
+    windowID: "extension-host-fixture",
+    openExternal: () => undefined,
+    openDirectoryPickerDialog: async () => null,
+    restart: async () => undefined,
+    notify: async () => undefined,
+    storage: () => ({
+      getItem: async (key: string) => {
+        await held.promise
+
+        return key in (input.stored ?? {}) ? JSON.stringify(input.stored?.[key]) : null
+      },
+      setItem: async () => undefined,
+      removeItem: async () => undefined,
+    }),
+  }
+
+  const storage = (extension: string): Storage => ({
+    store<S extends Schema.ConstraintCodec<object, unknown>>(key: string, options: StoreOptions<S>) {
+      const pair = persisted(Persist.global(`extension.${extension}.${key}`), options.schema, options.initial, platform)
+
+      return persistedHandle({ store: pair[0], set: pair[1], init: pair[3].promise })
+    },
+    memory: (_key, options) => {
+      const [value, set] = createStore(options.initial)
+
+      return [value, (mutation) => set(produce(mutation))] as const
+    },
+    remove() {},
+  })
+
+  function MountedHost() {
+    return (
+      <ExtensionHostProvider
+        definitions={input.definitions}
+        disabled={disabled}
+        apis={fakeApis(storage)}
+        whenMounted={mounted}
+      >
+        <Capture />
+      </ExtensionHostProvider>
+    )
+  }
+
+  function Capture() {
+    const host = useExtensionHost()
+    hosts.push(host)
+
+    return (
+      <Show when={host.ready()}>
+        <ExtensionSlot at="window.bottom" input={{}} />
+      </Show>
+    )
+  }
+
+  const dispose = render(
+    () => (
+      <LanguageProvider locale="en">
+        <DialogProvider>
+          <MountedHost />
+        </DialogProvider>
+      </LanguageProvider>
+    ),
+    container,
+  )
+
+  return {
+    container,
+    unmount: () => {
+      dispose()
+      container.remove()
+    },
+    /** Lets the held storage reads answer. */
+    release: () => held.resolve(),
+    disable: (ids: readonly string[]) => setDisabled(new Set(ids)),
+    reload: (id: string) => hosts[0]?.reload(id),
+    ready: () => hosts[0]?.ready() ?? false,
+    status: (id: string) => hosts[0]?.state.status[id],
+    failure: (id: string) => hosts[0]?.state.failures[id],
+    entries: (point: string) => hosts[0]?.state.entries[point]?.length ?? 0,
+  }
+}
+
+const web: Platform = {
+  platform: "web",
+  openExternal: () => undefined,
+  restart: async () => undefined,
+  notify: async () => undefined,
+}
+
+/** A stand-in for the app interface the real host APIs attach to; each test overrides what it observes. */
+function standIn(overrides: Partial<Interface>): Interface {
+  return {
+    sessions: () => [],
+    current: () => undefined,
+    screen: () => undefined,
+    scope: () => ServerScope.local,
+    scoped: () => undefined,
+    layout: {
+      ready: () => true,
+      open() {},
+      close() {},
+      toggle() {},
+      state: () => "closed",
+      stored: () => [],
+      side: { opened: () => true, toggle() {} },
+      sidebar: { opened: () => false },
+      dock: { opened: () => false, placement: () => "bottom" },
+      scroll: { get: () => undefined, set() {} },
+    },
+    settings() {},
+    project() {},
+    font: () => "fixture mono",
+    routing: () => false,
+    path: () => "/",
+    keybind: () => [],
+    matches: () => false,
+    servers: () => ["local"],
+    ...overrides,
+  }
+}
+
+/** The real host over the real HostApis of a web window; `mounted`, when given, attaches as the app interface. */
+function RealHost(props: ParentProps<{ definitions: readonly Definition[]; captured: Captured; mounted?: Interface }>) {
+  const apis = createHostApis()
+  props.captured.apis = apis
+
+  if (props.mounted) onCleanup(apis.attach(props.mounted))
+
+  return (
+    <ExtensionHostProvider
+      definitions={props.definitions}
+      disabled={() => new Set<string>()}
+      apis={apis.apis}
+      whenMounted={apis.whenMounted}
+    >
+      {props.children}
+    </ExtensionHostProvider>
+  )
+}
+
+/**
+ * Mounts the real host and HostApis, and the parts of the session screen that render extension content for the routed
+ * session: the side region (`createRegion`, `RegionContent`) with every panel's tabs stored, and the
+ * `session.panel.end` slot, whose input the screen builds this way. `route(id)` routes a session the way the screen
+ * does: a new session object each time, delivered through the same reactive inputs, while the one screen object
+ * `ctx.screen` returns follows the route. Its composer records which session each attachment reached.
+ */
+export function mountSessionRegion(input: { definitions: readonly Definition[]; active: string }) {
+  const container = document.createElement("div")
+  document.body.appendChild(container)
+  const hosts: ExtensionHost[] = []
+  const captured: Captured = {}
+  const attached: string[] = []
+
+  const object = (id: string) => {
+    const value = { key: `fixture\n${id}`, id, tab: id, pending: false, location: { directory: "/repo" }, visit: {} }
+
+    // SAFETY: the region and slot pass the object through; the test's extension reads only `key` and `id`.
+    // oxlint-disable-next-line anti-slop/no-chained-type-assertions -- see SAFETY above
+    return value as unknown as MountedSession
+  }
+
+  const [view, setView] = createSignal(object("a"))
+
+  const route = {
+    get session() {
+      return view()
+    },
+    composer: { attach: () => void attached.push(view().id), update() {}, detach() {} },
+  }
+
+  // SAFETY: the test's extension reads only `session` and `composer.attach` of the screen.
+  // oxlint-disable-next-line anti-slop/no-chained-type-assertions -- see SAFETY above
+  const screen = route as unknown as SessionScreen
+
+  const sidebar = { opened: () => false, width: () => 0, transition: () => false, resize() {}, toggle() {} }
+
+  function Region() {
+    const host = useExtensionHost()
+    hosts.push(host)
+    // Every panel's `main` tab is stored, and `active` selected, as a strip restored after a reload.
+    const all = () => host.items(Panel).map((item) => `${item.extension}:main`)
+
+    const region = createRegion({
+      region: "side",
+      view,
+      tabs: () => ({
+        all,
+        active: () => input.active,
+        setAll() {},
+        setActive() {},
+        close() {},
+        remap() {},
+      }),
+    })
+
+    return (
+      <Show when={host.ready()}>
+        <ExtensionSlot
+          at="session.panel.end"
+          input={{
+            get session() {
+              return view()
+            },
+          }}
+        />
+        <RegionContent
+          region={region}
+          view={view()}
+          frame={{
+            shown: () => true,
+            present: () => true,
+            placement: () => "side",
+            reserve: () => false,
+            animate: () => false,
+            sidebar,
+          }}
+        />
+      </Show>
+    )
+  }
+
+  const dispose = render(
+    () => (
+      <LanguageProvider locale="en">
+        <PlatformProvider value={web}>
+          <DialogProvider>
+            <RealHost
+              definitions={input.definitions}
+              captured={captured}
+              mounted={standIn({ current: view, screen: () => screen })}
+            >
+              <Region />
+            </RealHost>
+          </DialogProvider>
+        </PlatformProvider>
+      </LanguageProvider>
+    ),
+    container,
+  )
+
+  return {
+    container,
+    /** Routes a session: the screen creates a new session object for it. */
+    route: (id: string) => setView(object(id)),
+    /** The session each composer attachment reached, in order. */
+    attached,
+    status: (id: string) => hosts[0]?.state.status[id],
+    unmount: () => {
+      dispose()
+      container.remove()
+    },
+  }
+}
+
+/**
+ * Mounts the real host over the real HostApis of a web window, before the app interface mounts. `attach()` mounts a
+ * stand-in for the interface: its layout records each write and reports a tab it opened as visible, its server is
+ * the local one, and its mono font is "fixture mono".
+ */
+export function mountHostApis(input: { definitions: readonly Definition[] }) {
+  const container = document.createElement("div")
+  document.body.appendChild(container)
+  const writes: string[] = []
+  const [opened, setOpened] = createSignal<readonly string[]>([])
+  const hosts: ExtensionHost[] = []
+  const captured: Captured = {}
+  const layout = standIn({}).layout
+
+  const mounted = standIn({
+    layout: {
+      ...layout,
+      open(key) {
+        writes.push(`open ${key}`)
+        setOpened((keys) => [...keys, key])
+      },
+      close: (key) => void writes.push(`close ${key}`),
+      toggle: (key) => void writes.push(`toggle ${key}`),
+      state: (key) => (opened().includes(key) ? "visible" : "closed"),
+      scroll: { get: () => undefined, set: (_session, key) => void writes.push(`scroll ${key}`) },
+    },
+    settings: (page) => void writes.push(`settings ${page}`),
+  })
+
+  function Capture() {
+    hosts.push(useExtensionHost())
+
+    return null
+  }
+
+  const dispose = render(
+    () => (
+      <LanguageProvider locale="en">
+        <PlatformProvider value={web}>
+          <DialogProvider>
+            <RealHost definitions={input.definitions} captured={captured}>
+              <Capture />
+            </RealHost>
+          </DialogProvider>
+        </PlatformProvider>
+      </LanguageProvider>
+    ),
+    container,
+  )
+
+  return {
+    /** Layout writes the interface received, in order. */
+    writes,
+    /** Mounts the interface. */
+    attach: () => void captured.apis?.attach(mounted),
+    status: (id: string) => hosts[0]?.state.status[id],
+    unmount: () => {
+      dispose()
+      container.remove()
+    },
  }
 }
@@ -1,9 +1,19 @@
 import { fileURLToPath } from "node:url"
-import type { Context, Dialogs } from "@opencode/gui-extensions/sdk"
+import type { Owner } from "solid-js"
+import type { Context, Contract, DialogHandle, Dialogs, SessionRef } from "@opencode/gui-extensions/sdk"
 import { expect, story } from "../../storybook/playwright/story"

 const fixture = `/@fs/${fileURLToPath(new URL("./extension-host.fixture.tsx", import.meta.url)).replaceAll("\\", "/")}`

+/** What the scoped-registration case keeps from inside its extension. */
+type Scope = { owner?: Owner | null; end: () => void; ctx?: Context }
+
+/** The context the session-routing case keeps from inside its extension. */
+type Kept = { ctx?: Context }
+
+/** What the pre-mount case reads from inside its extension's setup. */
+type Reads = { state?: () => string; font?: () => string; prefs?: { value?: { count: number }; ready(): boolean } }
+
 story.beforeEach(async ({ mount }) => {
  // Any story loads the app; the fixture mounts the real host beside it.
  await mount("ui-line-comment--editor")
@@ -17,35 +27,41 @@ story("an extension that finishes loading after the host unmounts is never set u
    host.unmount()
    host.load(() => void state.setups++)
    await new Promise((resolve) => setTimeout(resolve, 100))
+
    return state.setups
  }, fixture)
+
  expect(setups).toBe(0)
 })

 story("an async setup that resolves after the host unmounts releases everything it registers", async ({ page }) => {
  const result = await page.evaluate(async (fixture) => {
-    const { mountExtensionHost } = await import(fixture)
+    const { mountExtensionHost, onCleanup } = await import(fixture)
    const host = mountExtensionHost()
    const started = Promise.withResolvers<void>()
    const resume = Promise.withResolvers<void>()
    const cleaned: string[] = []
    const point = { kind: "point" as const, id: "fixture-point" }
+    const resumed = { aborted: false }
    host.load(async (ctx: Context) => {
      ctx.add(point, "before")
+      onCleanup(() => void cleaned.push("owner"))
      started.resolve()
      await resume.promise
+      // After an await there is no owner: the signal tells the setup it outlived its instance.
+      resumed.aborted = ctx.signal.aborted
      ctx.add(point, "after")
-      ctx.cleanup(() => void cleaned.push("registered"))
-      return () => void cleaned.push("returned")
    })
    await started.promise
    const before = host.entries(point.id)
    host.unmount()
    resume.resolve()
    await new Promise((resolve) => setTimeout(resolve, 100))
-    return { before, after: host.entries(point.id), cleaned }
+
+    return { before, after: host.entries(point.id), cleaned, aborted: resumed.aborted }
  }, fixture)
-  expect(result).toEqual({ before: 1, after: 0, cleaned: ["registered", "returned"] })
+
+  expect(result).toEqual({ before: 1, after: 0, cleaned: ["owner"], aborted: true })
 })

 story("older loads neither set up nor fail over the replacement after reloads", async ({ page }) => {
@@ -62,8 +78,10 @@ story("older loads neither set up nor fail over the replacement after reloads",
    await new Promise((resolve) => setTimeout(resolve, 100))
    const outcome = { setups, status: host.status() }
    host.unmount()
+
    return outcome
  }, fixture)
+
  expect(result).toEqual({ setups: ["third"], status: "active" })
 })

@@ -71,8 +89,8 @@ story("a dialog service kept from before a reload opens and closes nothing under
  const result = await page.evaluate(async (fixture) => {
    const { mountExtensionHost } = await import(fixture)
    const host = mountExtensionHost()
-    const services: Dialogs[] = []
-    const setup = (ctx: Context) => void services.push(ctx.use({ kind: "host" as const, id: "dialog" }) as Dialogs)
+    const dialogs: Dialogs[] = []
+    const setup = (ctx: Context) => void dialogs.push(ctx.dialogs)
    const text = (value: string) => () => Object.assign(document.createElement("p"), { textContent: value })
    const shown = (value: string) => !!document.body.textContent?.includes(value)
    const wait = (ms: number) => new Promise((resolve) => setTimeout(resolve, ms))
@@ -81,37 +99,248 @@ story("a dialog service kept from before a reload opens and closes nothing under
    host.reload()
    host.load(setup, 1)
    await wait(20)
-    const [stale, fresh] = services
-    stale.push(text("stale dialog"))
-    fresh.push(text("fresh dialog"))
+    const [stale, fresh] = dialogs
+    const kept = stale.open(text("stale dialog"))
+    fresh.open(text("fresh dialog"))
    await wait(50)
-    stale.close()
+    kept.close()
    await wait(300)
    const outcome = { stale: shown("stale dialog"), fresh: shown("fresh dialog") }
    host.unmount()
+
    return outcome
  }, fixture)
+
  expect(result).toEqual({ stale: false, fresh: true })
 })

+story("a dialog handle closes its own dialog, and a dialog closes with the scope that opened it", async ({ page }) => {
+  const result = await page.evaluate(async (fixture) => {
+    const { mountExtensionHost, createKeyed, createSignal } = await import(fixture)
+    const host = mountExtensionHost()
+    const text = (value: string) => () => Object.assign(document.createElement("p"), { textContent: value })
+
+    const shown = () =>
+      ["below", "middle", "scoped", "cancelled", "brief"].filter((value) => document.body.textContent?.includes(value))
+
+    const wait = (ms: number) => new Promise((resolve) => setTimeout(resolve, ms))
+    const scope = { end: () => {} }
+    const handles: DialogHandle[] = []
+    host.load((ctx: Context) => {
+      const [on, set] = createSignal(true)
+      scope.end = () => set(false)
+      handles.push(ctx.dialogs.open(text("below")), ctx.dialogs.open(text("middle")))
+      createKeyed(on, () => void ctx.dialogs.open(text("scoped")))
+      // Ended in the tick they open, before the deferred opening: neither shows, and the replacing one replaces nothing.
+      ctx.dialogs.open(text("cancelled"), { replace: true }).close()
+      const [brief, end] = createSignal(true)
+      createKeyed(brief, () => void ctx.dialogs.open(text("brief")))
+      end(false)
+    }, 0)
+    await wait(100)
+    const opened = shown()
+    // The middle dialog is not on top: its handle closes it and nothing else.
+    handles[1]?.close()
+    await wait(300)
+    const closed = shown()
+    scope.end()
+    await wait(300)
+    const ended = shown()
+    host.unmount()
+
+    return { opened, closed, ended }
+  }, fixture)
+
+  expect(result).toEqual({
+    opened: ["below", "middle", "scoped"],
+    closed: ["below", "scoped"],
+    ended: ["below"],
+  })
+})
+
 story("a dialog pushed in the same tick as a reload never mounts", async ({ page }) => {
  const shown = await page.evaluate(async (fixture) => {
    const { mountExtensionHost } = await import(fixture)
    const host = mountExtensionHost()
-    const services: Dialogs[] = []
+    const dialogs: Dialogs[] = []
    const wait = (ms: number) => new Promise((resolve) => setTimeout(resolve, ms))
-    host.load((ctx: Context) => void services.push(ctx.use({ kind: "host" as const, id: "dialog" }) as Dialogs), 0)
+    host.load((ctx: Context) => void dialogs.push(ctx.dialogs), 0)
    await wait(20)
-    services[0].push(() => Object.assign(document.createElement("p"), { textContent: "same tick dialog" }))
+    dialogs[0].open(() => Object.assign(document.createElement("p"), { textContent: "same tick dialog" }))
    host.reload()
    await wait(300)
    const outcome = !!document.body.textContent?.includes("same tick dialog")
    host.unmount()
+
    return outcome
  }, fixture)
+
  expect(shown).toBe(false)
 })

+story(
+  "routing A, B, then A again: a kept session stays A, the same screen follows the route, and no render remounts",
+  async ({ page }) => {
+    const result = await page.evaluate(async (fixture) => {
+      const { mountSessionRegion, until, Panel, Slot } = await import(fixture)
+      const mounts = { single: 0, grouped: 0, slot: 0 }
+      const inputs: Partial<Record<keyof typeof mounts, { readonly session: { readonly id: string } }>> = {}
+      const kept: Kept = {}
+      const node = () => document.createElement("p")
+
+      // One render of each kind the host has: a selected tab, a group that stays mounted, and a slot.
+      const render = (kind: keyof typeof mounts) => (input: { readonly session: { readonly id: string } }) => {
+        mounts[kind]++
+        inputs[kind] = input
+
+        return node()
+      }
+
+      const host = mountSessionRegion({
+        active: "single:main",
+        definitions: [
+          {
+            id: "single",
+            renderer: async () => ({
+              default: (ctx: Context) => {
+                const tab = { id: "main", title: "Single" }
+                kept.ctx = ctx
+                ctx.add(Panel, { id: "main", region: "side", list: () => [tab], render: render("single") })
+                ctx.add(Slot, { at: "session.panel.end", render: render("slot") })
+              },
+            }),
+          },
+          {
+            id: "grouped",
+            renderer: async () => ({
+              default: (ctx: Context) => {
+                const tab = { id: "main", title: "Grouped", group: "group" }
+                ctx.add(Panel, { id: "main", region: "side", list: () => [tab], render: render("grouped") })
+              },
+            }),
+          },
+        ],
+      })
+
+      await until(() => mounts.single > 0 && mounts.grouped > 0 && mounts.slot > 0)
+
+      // Session A's object, as an extension keeps it, and the screen while it routes A.
+      const session = kept.ctx?.sessions.current()
+      const screen = kept.ctx?.screen.current()
+
+      const seen = () => ({
+        mounts: { ...mounts },
+        sessions: [inputs.single?.session.id, inputs.grouped?.session.id, inputs.slot?.session.id],
+        kept: session?.id,
+        fresh: kept.ctx?.sessions.current() !== session,
+        screen: { same: kept.ctx?.screen.current() === screen, session: screen?.session?.id },
+      })
+
+      const steps = [seen()]
+      host.route("b")
+      steps.push(seen())
+      // An action through the screen targets the session routed now.
+      screen?.composer.attach({ type: "file", path: "notes.md" })
+      host.route("a")
+      steps.push(seen())
+      host.unmount()
+
+      return { steps, attached: host.attached }
+    }, fixture)
+
+    const step = (id: string, fresh: boolean) => ({
+      mounts: { single: 1, grouped: 1, slot: 1 },
+      sessions: [id, id, id],
+      kept: "a",
+      fresh,
+      screen: { same: true, session: id },
+    })
+
+    // Routing A again makes a new object for the new visit; the kept one still names A.
+    expect(result).toEqual({ steps: [step("a", false), step("b", true), step("a", true)], attached: ["b"] })
+  },
+)
+
+story(
+  "before the app interface mounts, host APIs read their defaults and keep writes and dialogs until it mounts",
+  async ({ page }) => {
+    const result = await page.evaluate(async (fixture) => {
+      const { mountHostApis, until, createMemo, Schema } = await import(fixture)
+      const Prefs = Schema.Struct({ count: Schema.Number })
+      const text = (value: string) => () => Object.assign(document.createElement("p"), { textContent: value })
+      const shown = () => ["kept", "cancelled"].filter((value) => document.body.textContent?.includes(value))
+      const wait = (ms: number) => new Promise((resolve) => setTimeout(resolve, ms))
+      const fake = { key: "local\nses_fixture", id: "ses_fixture", tab: "tab", pending: false, location: undefined }
+      // SAFETY: the stand-in interface reads only the key it is given; the host APIs pass the session through.
+      // oxlint-disable-next-line anti-slop/no-chained-type-assertions -- see SAFETY above
+      const session = fake as unknown as SessionRef
+
+      const reads: Reads = {}
+
+      const host = mountHostApis({
+        definitions: [
+          {
+            id: "fixture",
+            renderer: async () => ({
+              default: (ctx: Context) => {
+                // Setup runs before the interface mounts, as every built-in's does.
+                ctx.layout.open("fixture:main", session)
+                ctx.layout.settings("fixture")
+                // A dialog waits for the interface too; one its handle closes meanwhile never shows.
+                ctx.dialogs.open(text("kept"))
+                ctx.dialogs.open(text("cancelled")).close()
+
+                const prefs = ctx.storage.store("prefs", {
+                  schema: Prefs,
+                  initial: { count: 0 },
+                  scope: { server: "local" },
+                })
+
+                prefs.update((draft) => ({ count: draft.count + 1 }))
+                reads.state = createMemo(() => ctx.layout.state("fixture:main", session))
+                reads.font = createMemo(() => ctx.appearance.font("mono"))
+                reads.prefs = prefs
+              },
+            }),
+          },
+        ],
+      })
+
+      const read = () => ({
+        state: reads.state?.(),
+        font: reads.font?.().startsWith('"JetBrainsMono Nerd Font Mono"') ? "default mono" : reads.font?.(),
+        prefs: reads.prefs?.value?.count,
+        ready: reads.prefs?.ready(),
+        writes: [...host.writes],
+        dialogs: shown(),
+      })
+
+      await until(() => host.status("fixture") === "active")
+      // Long enough for a dialog's deferred opening to have shown it.
+      await wait(300)
+      const before = read()
+      host.attach()
+      await until(() => host.writes.length === 2 && shown().length > 0)
+      const after = read()
+      host.unmount()
+
+      return { before, after }
+    }, fixture)
+
+    expect(result).toEqual({
+      before: { state: "closed", font: "default mono", prefs: undefined, ready: false, writes: [], dialogs: [] },
+      after: {
+        state: "visible",
+        font: "fixture mono",
+        prefs: 1,
+        ready: true,
+        writes: ["open fixture:main", "settings fixture"],
+        dialogs: ["kept"],
+      },
+    })
+  },
+)
+
 story("an extension reloaded while disabled starts when it is enabled again", async ({ page }) => {
  const result = await page.evaluate(async (fixture) => {
    const { mountExtensionHost } = await import(fixture)
@@ -124,6 +353,7 @@ story("an extension reloaded while disabled starts when it is enabled again", as
    await wait(20)
    host.reload()
    const afterReload = host.status()
+
    // A load the reload started finishes while the extension is still disabled.
    if (host.count() > 1) host.load(() => void setups.push("while disabled"), 1)
    await wait(20)
@@ -133,7 +363,196 @@ story("an extension reloaded while disabled starts when it is enabled again", as
    await wait(50)
    const outcome = { afterReload, setups, status: host.status() }
    host.unmount()
+
    return outcome
  }, fixture)
+
  expect(result).toEqual({ afterReload: "disabled", setups: ["first", "enabled"], status: "active" })
 })
+
+story(
+  "a registration is withdrawn with the scope that made it, and at once when that scope already ended",
+  async ({ page }) => {
+    const result = await page.evaluate(async (fixture) => {
+      const { mountExtensions, until, createKeyed, createSignal, getOwner, runWithOwner } = await import(fixture)
+      const point = { kind: "point" as const, id: "fixture-scoped" }
+      const scope: Scope = { end: () => {} }
+
+      const host = mountExtensions({
+        definitions: [
+          {
+            id: "fixture",
+            renderer: async () => ({
+              default: (ctx: Context) => {
+                const [on, set] = createSignal(true)
+                scope.end = () => set(false)
+                scope.ctx = ctx
+                createKeyed(on, () => {
+                  scope.owner = getOwner()
+                  ctx.add(point, "during")
+                })
+              },
+            }),
+          },
+        ],
+      })
+
+      await until(() => host.status("fixture") === "active")
+      const during = host.entries(point.id)
+      scope.end()
+      const ended = host.entries(point.id)
+      // A captured owner of a generation that ended, as async work resuming late would hold.
+      runWithOwner(scope.owner, () => scope.ctx?.add(point, "late"))
+      const late = host.entries(point.id)
+      host.unmount()
+
+      return { during, ended, late }
+    }, fixture)
+
+    expect(result).toEqual({ during: 1, ended: 0, late: 0 })
+  },
+)
+
+story("a contribution that throws renders nothing and records the error; the others stay", async ({ page }) => {
+  const result = await page.evaluate(async (fixture) => {
+    const { mountExtensions, until, Slot } = await import(fixture)
+    const text = (value: string) => () => Object.assign(document.createElement("p"), { textContent: value })
+
+    const host = mountExtensions({
+      definitions: [
+        {
+          id: "fixture",
+          renderer: async () => ({
+            default: (ctx: Context) => {
+              ctx.add(Slot, {
+                at: "window.bottom",
+                render: () => {
+                  throw new Error("broken contribution")
+                },
+              })
+              ctx.add(Slot, { at: "window.bottom", render: text("kept") })
+            },
+          }),
+        },
+        {
+          id: "other",
+          renderer: async () => ({
+            default: (ctx: Context) => void ctx.add(Slot, { at: "window.bottom", render: text("other") }),
+          }),
+        },
+      ],
+    })
+
+    await until(() => !!host.failure("fixture") && !!host.container.textContent?.includes("other"))
+    const failure = host.failure("fixture")
+
+    const outcome = {
+      text: host.container.textContent,
+      status: [host.status("fixture"), host.status("other")],
+      failure: { phase: failure?.phase, named: !!failure?.error.includes("broken contribution") },
+    }
+
+    host.unmount()
+
+    return outcome
+  }, fixture)
+
+  expect(result).toEqual({
+    text: "keptother",
+    status: ["active", "active"],
+    failure: { phase: "render", named: true },
+  })
+})
+
+story("an extension that requires a contract starts once it is active and restarts with it", async ({ page }) => {
+  const result = await page.evaluate(async (fixture) => {
+    const { mountExtensions, until, Contract, onCleanup } = await import(fixture)
+    const Tree: Contract<{ version: number }, "provider.tree"> = Contract.define("provider.tree")
+    const providerLoad = Promise.withResolvers<void>()
+    const log: string[] = []
+    const versions = { value: 0 }
+
+    const definitions = [
+      {
+        id: "provider",
+        provides: { tree: Tree },
+        renderer: async () => {
+          await providerLoad.promise
+
+          return { default: (ctx: Context) => void ctx.provide(Tree, { version: ++versions.value }) }
+        },
+      },
+      {
+        id: "consumer",
+        requires: { tree: Tree },
+        renderer: async () => ({
+          default: (ctx: Context & { requires: { tree: { version: number } } }) => {
+            const version = ctx.requires.tree.version
+            log.push(`setup ${version}`)
+            onCleanup(() => void log.push(`cleanup ${version}`))
+          },
+        }),
+      },
+    ]
+
+    // Hard contracts gate startup: a consumer whose provider is disabled settles the gate without starting.
+    const gated = mountExtensions({ definitions, disabled: ["provider"] })
+    await until(() => gated.ready())
+    const blocked = { status: gated.status("consumer"), log: [...log] }
+    gated.unmount()
+
+    const host = mountExtensions({ definitions })
+    await new Promise((resolve) => setTimeout(resolve, 50))
+    const waiting = { status: host.status("consumer"), log: [...log] }
+    providerLoad.resolve()
+    await until(() => host.status("consumer") === "active")
+    host.reload("provider")
+    await until(() => log.length === 3)
+    host.disable(["provider"])
+    await until(() => log.length === 4)
+    const outcome = { blocked, waiting, log, after: host.status("consumer") }
+    host.unmount()
+
+    return outcome
+  }, fixture)
+
+  expect(result).toEqual({
+    blocked: { status: "loading", log: [] },
+    waiting: { status: "loading", log: [] },
+    log: ["setup 1", "cleanup 1", "setup 2", "cleanup 2"],
+    after: "loading",
+  })
+})
+
+story("declared global stores load before setup, so setup reads the stored value", async ({ page }) => {
+  const result = await page.evaluate(async (fixture) => {
+    const { mountExtensions, until, Schema, Store } = await import(fixture)
+    const Prefs = Schema.Struct({ open: Schema.Boolean })
+    const seen: unknown[] = []
+
+    const host = mountExtensions({
+      stored: { "extension.fixture.prefs": { open: true } },
+      definitions: [
+        {
+          id: "fixture",
+          stores: { prefs: Store.global(Prefs, { open: false }) },
+          renderer: async () => ({
+            default: (ctx: Context & { stores: { prefs: { value: { open: boolean } } } }) =>
+              void seen.push(ctx.stores.prefs.value.open),
+          }),
+        },
+      ],
+    })
+
+    await new Promise((resolve) => setTimeout(resolve, 50))
+    const held = { status: host.status("fixture"), seen: [...seen] }
+    host.release()
+    await until(() => host.status("fixture") === "active")
+    const outcome = { held, seen }
+    host.unmount()
+
+    return outcome
+  }, fixture)
+
+  expect(result).toEqual({ held: { status: "loading", seen: [] }, seen: [true] })
+})
@@ -1,7 +1,6 @@
 import { expect, test } from "@playwright/test"
 import {
  defineVisualRegions,
-  mapVisualRegions,
  reportVisualStability,
  startVisualProbe,
  stopVisualProbe,
@@ -242,7 +242,7 @@ test("keeps an older answer selected while scrolling within the interaction buff

 test("tracks keyboard scrolling from a focused timeline descendant", async ({ page }, testInfo) => {
  const shellID = "prt_descendant_keyboard_01_shell"
-  const timeline = await setupTimeline(page, {
+  await setupTimeline(page, {
    messages: [...history(12), userMessage(), assistantMessage([shell(shellID, "completed", lines(5))])],
    settings: { shellToolPartsExpanded: false },
    cpuRate: 4,
@@ -15,7 +15,6 @@ import {
  partUpdated,
  renderedPartID,
  setupTimeline,
-  shell,
  status,
  textPart,
  toolPart,
Author	SHA1	Message	Date
kitlangton	aafdd86889	fix(sdk): release completed embedded request signals	2026-10-04 04:59:58 +00:00
Kit Langton	9c66a0acb0	refactor(tui): remove unused plugin theme registration (#52992 )	2026-10-03 21:50:55 -07:00
Kit Langton	ee730bdd91	refactor(tui): remove unused V1 syntax theme generation (#52987 )	2026-10-03 21:43:07 -07:00
Kit Langton	cfbdefa041	refactor(tui): trim unused package exports (#52988 )	2026-10-03 21:43:03 -07:00
Kit Langton	2884b49f8f	refactor(tui): remove permanently disabled unshare command (#53003 )	2026-10-03 21:34:00 -07:00
Kit Langton	b79da2697a	refactor(tui): drop unused ComposerTab.onClose and composer re-export (#53002 )	2026-10-03 21:33:55 -07:00
Kit Langton	552d2b9c8a	refactor(tui): drop never-passed component props (#53001 )	2026-10-03 21:33:51 -07:00
Kit Langton	0d98734fb2	refactor(tui): share mini requestOptions helper (#53000 )	2026-10-03 21:33:47 -07:00
Kit Langton	5ac5027cce	refactor(tui): remove unused mini thinking override (#52999 )	2026-10-03 21:33:42 -07:00
Kit Langton	4cb7ac9dab	refactor(tui): drop constant mini frontend exit code (#52998 )	2026-10-03 21:33:37 -07:00
Kit Langton	bc499e4562	refactor(tui): remove unused monoTruncateMiddle (#52997 )	2026-10-03 21:33:33 -07:00
Kit Langton	fa373ddb51	refactor(tui): share clamp between tab pulse and fade-in text (#52996 )	2026-10-03 21:33:28 -07:00
Kit Langton	2a02be02a7	refactor(tui): remove unused TabPulse outerFlashTail prop (#52995 )	2026-10-03 21:33:23 -07:00
Kit Langton	fc224dc8f0	refactor(tui): remove unused DialogSelect details and category view options (#52994 )	2026-10-03 21:33:18 -07:00
Kit Langton	eec8cf912e	refactor(tui): remove unused Prompt hint, right, and showPlaceholder props (#52993 )	2026-10-03 21:33:13 -07:00
Kit Langton	86f9edc107	refactor(tui): remove unread terminal environment fields (#52991 )	2026-10-03 21:33:08 -07:00
Kit Langton	5d6804eaac	refactor(tui): remove unused v1 config aliases and keybind values (#52990 )	2026-10-03 21:33:03 -07:00
Kit Langton	697ca1c9d3	refactor(tui): drop unused theme re-exports (#52986 )	2026-10-03 21:32:58 -07:00
Kit Langton	1287996a91	refactor(tui): drop stale terminal-win32 export (#52985 )	2026-10-03 21:32:54 -07:00
Kit Langton	a30f24355e	refactor(tui): share file change status label (#53004 )	2026-10-03 23:50:25 -04:00
Jérôme Benoit	96ecd60bdb	fix(nix): provide desktop signing tools on darwin (#53007 )	2026-10-03 22:33:12 -05:00
Aiden Cline	15c4e5d537	feat(ai): add Google Interactions protocol (#52981 )	2026-10-03 22:22:58 -05:00
Aiden Cline	5617044dc9	refactor(ai): avoid redundant request body validation (#52909 )	2026-10-03 22:22:15 -05:00
Luke Parker	0048c97c27	feat(gui-extensions): add typed composition and lifetime primitives (#52868 )	2026-10-04 13:16:37 +10:00
opencode-agent[bot]andHona	f72a103a4b	fix(windows): hide background subprocess windows (#52871 ) Co-authored-by: Hona <10430890+Hona@users.noreply.github.com>	2026-10-04 11:20:47 +10:00
opencode-agent[bot]	f74512bfe0	chore: update nix node_modules hashes	2026-10-03 23:05:19 +00:00
opencode-agent[bot]andneriousy	63b7de9434	fix(cli): restore Linux x64 musl PTY lock entry (#53035 ) Co-authored-by: neriousy <34747899+neriousy@users.noreply.github.com>	2026-10-04 00:55:38 +02:00
Filip	e8c75c2de0	fix(cli): run the curl installer with Git Bash on Windows (#53029 )	2026-10-04 00:29:09 +02:00
opencode-agent[bot]	d1f8f5b35e	chore: update nix node_modules hashes	2026-10-03 18:57:44 +00:00
Kit Langton	334f7a3510	fix(core): keep the first PTY output after spawn (#52960 )	2026-10-03 11:51:01 -07:00
opencode-agent[bot]	f02e184ba4	chore: update nix node_modules hashes	2026-10-03 14:32:42 +00:00
James Long	5ad0786536	fix(core): never let persistent PTY handoff break a server restart (#52573 )	2026-10-03 10:23:31 -04:00
opencode-agent[bot]	d8a3962923	chore(core): refresh bundled models.dev snapshot	2026-10-03 13:46:03 +00:00
Simon Klee	40679546d4	fix(tui): keep transcript rows stable when history is prepended (#52824 ) Session rows have no id, so reconcile matched them by position. Each page of older history shifted every row into a different store object and remounted the visible transcript. Newly mounted markdown is blank until highlighting finishes, so the transcript blinked once per page. This was most visible with Low verbosity, where opening a session loads several pages to complete the oldest group.	2026-10-03 06:09:37 +00:00
Daniel Chen	12810e84d3	docs(www): add Fledge Alpha Free to Console models (#52896 )	2026-10-02 21:59:24 -07:00
Aiden Cline	3e1aa1e58c	fix(server): return 404 when a location folder is missing (#52668 )	2026-10-02 23:43:56 -05:00
Aiden Cline	7ced9326e6	fix(ai): preserve Mistral and Cohere system parts (#52890 )	2026-10-02 23:36:36 -05:00
Aiden Cline	d1ff6f90cf	fix(ai): preserve Gemini system text parts (#52888 )	2026-10-02 23:04:49 -05:00
James Long	d9d094a543	fix(tui): keep question form highlights on the raised surface (#52872 )	2026-10-02 20:34:12 -04:00
Kit Langton	d113a40f55	fix(core): rename legacy provider in top-level model (#51901 )	2026-10-02 16:02:13 -07:00
Kit Langton	54956aac22	chore: enable noUnusedLocals in ai and core (#52858 )	2026-10-02 22:45:27 +00:00
Kit Langton	c1536734ce	chore(cli): enable noUnusedLocals (#52857 )	2026-10-02 22:45:05 +00:00
Kit Langton	cf7fcfad0a	chore(app): enable noUnusedLocals (#52856 )	2026-10-02 22:44:02 +00:00
Kit Langton	17955a1100	refactor(core): remove duplicate v1 config migration (#51889 )	2026-10-02 15:40:41 -07:00
Kit Langton	c0c9c69a27	chore(tui): enable noUnusedLocals (#52851 )	2026-10-02 22:36:03 +00:00
Kit Langton	eb1a9ea4d9	chore: enable noUnusedLocals in schema, server, sdk and smaller packages (#52850 )	2026-10-02 15:23:59 -07:00
Kit Langton	680bca3183	chore: enable noUnusedLocals in already-clean packages (#52849 )	2026-10-02 15:23:50 -07:00
Kit Langton	22f81eed0b	test(tui): drop title shimmer animation timing tests (#52848 )	2026-10-02 15:23:31 -07:00
Aiden Cline	421a04f5fd	fix(core): retry transient MCP connect failures (#52614 )	2026-10-02 17:22:25 -05:00
Jérôme BenoitandTest User	ec541abbcd	chore(nix): run the nix eval workflow on v2 (#52143 ) Co-authored-by: Test User <test@test.com>	2026-10-02 16:52:46 -05:00
Kit Langton	4c63a35dbe	refactor(schema): drop unused FileAttachment re-export from SessionEvent (#52842 )	2026-10-02 21:35:12 +00:00
Kit Langton	0e4dd7bfe9	refactor(ai): remove unused declarations in OpenAI chat protocol (#52840 )	2026-10-02 21:33:58 +00:00
Kit Langton	e28a624b8b	refactor(core): remove unused git strategy in worktree layer (#52841 )	2026-10-02 21:28:27 +00:00
Kit Langton	9277761af6	refactor(schema): remove unused QuestionV1 contract (#52838 )	2026-10-02 21:28:13 +00:00
Kit Langton	0bef0eab67	refactor(core): remove legacy id prefix table (#52810 )	2026-10-02 18:40:26 +00:00
Shoubhit Dash	66d15a7352	refactor(acp): split module seams and drop dead code (#52803 )	2026-10-03 00:04:06 +05:30
Kit Langton	9f8551ab6b	refactor(core): require job ids from their subject (#52806 )	2026-10-02 18:27:13 +00:00
Kit Langton	8bcda4c718	refactor(core): name tool output files in ToolOutput (#52808 )	2026-10-02 18:24:57 +00:00
Kit Langton	ccd2aca07a	test(core): match Code Mode description after allSettled change (#52812 )	2026-10-02 18:14:27 +00:00
opencode-agent[bot]rekram1-node Aiden Cline	1391c0d52c	docs(core): recommend settled results for independent calls (#52798 ) Co-authored-by: rekram1-node <rekram1-node@users.noreply.github.com> Co-authored-by: Aiden Cline <63023139+rekram1-node@users.noreply.github.com>	2026-10-02 12:26:05 -05:00
Shoubhit Dash	ec90ad50d3	fix(acp): settle permissions replied elsewhere and type request failures (#52774 )	2026-10-02 22:43:32 +05:30
Shoubhit Dash	2a01ed60b1	perf(core): keep unchanged messages in request shaping (#52784 )	2026-10-02 22:12:21 +05:30
Shoubhit Dash	80caae8ad1	test(acp): keep only spec and essential tests (#52775 )	2026-10-02 22:01:49 +05:30
Jack	35a41b5d53	docs(www): add Ling 3.1 Flash Free to Console models (#52780 )	2026-10-03 00:08:55 +08:00
Aiden Cline	d49ec44298	feat(ai): add native Cohere chat provider (#52633 )	2026-10-02 11:07:02 -05:00
Shoubhit Dash	7440ff7844	chore(acp): trim comments (#52770 )	2026-10-02 20:50:09 +05:30
Shoubhit Dash	f902a0fae7	fix(cli): support Homebrew Core upgrades (#52753 )	2026-10-02 20:27:14 +05:30
Filip	661853903b	fix(tui): gate terminals on server persistent PTY support (#52760 )	2026-10-02 16:49:15 +02:00
Shoubhit Dash	06b6c916a5	refactor(acp): drop the promise client (#52751 )	2026-10-02 19:52:02 +05:30
Shoubhit Dash	bf25bd2ec7	docs(acp): document opencode protocol extensions (#52745 )	2026-10-02 19:50:17 +05:30
Filip	3ddb0cb1d3	docs: remove skill slash frontmatter from v2 docs (#52752 )	2026-10-02 15:09:38 +02:00
Filip	f3a23e52b3	feat(core): support disable-model-invocation in skill frontmatter (#52747 )	2026-10-02 15:07:30 +02:00
opencode-agent[bot]	dbe08d2ac3	chore(core): refresh bundled models.dev snapshot	2026-10-02 12:22:07 +00:00
Shoubhit Dash	77eceb8c85	fix(core): merge formatter config across files (#52739 )	2026-10-02 17:49:12 +05:30
Shoubhit Dash	e2a700dc90	fix(acp): let the model continue when a question can't be shown (#52740 )	2026-10-02 17:39:54 +05:30
Shoubhit Dash	ebad4bc84c	feat(acp): report compaction with standard session updates (#52737 )	2026-10-02 17:39:24 +05:30
opencode-agent[bot]	d82b75f090	chore: update nix node_modules hashes	2026-10-02 11:32:57 +00:00
Shoubhit Dash	134d0ede4d	fix(acp): align permission requests with the tool call spec (#52565 )	2026-10-02 16:51:36 +05:30
Shoubhit Dash	4a2c024ea7	fix(acp): detach new and resumed sessions when setup fails (#52558 )	2026-10-02 16:07:33 +05:30
Shoubhit Dash	4cb56a829e	fix(acp): send remote image links as references (#52557 )	2026-10-02 16:06:58 +05:30
opencode-agent[bot]andBrendonovich	41516c78c8	fix(app): restore Git initialization for non-Git projects (#51455 ) Co-authored-by: Brendonovich <14191578+Brendonovich@users.noreply.github.com>	2026-10-02 06:13:19 +00:00
opencode	d259ae7163	sync release versions for v2.0.22	2026-10-02 04:23:05 +00:00
Kit Langton	bb381e8bdd	refactor(core): drop unused SessionRevert error re-export (#52661 )	2026-10-02 04:14:44 +00:00
opencode-agent[bot]Brendonovich Brendan Allan	81efb7f146	fix(app): keep Working during reasoning-only turns (#51090 ) Co-authored-by: Brendonovich <14191578+Brendonovich@users.noreply.github.com> Co-authored-by: Brendan Allan <git@brendonovich.dev>	2026-10-02 12:14:04 +08:00
Kit Langton	77c5f7a516	refactor(schema): remove unused SessionV1.WithParts (#52662 )	2026-10-02 04:11:35 +00:00
Kit Langton	4a18a86653	refactor(schema): remove unused IDE event definition (#52660 )	2026-10-02 04:11:15 +00:00
Jérôme BenoitandTest User	c07905012f	fix(nix): repair three packaging defects on the v2 branch (#51891 ) Co-authored-by: Test User <test@test.com>	2026-10-01 23:09:54 -05:00
opencode-agent[bot]andrekram1-node	e067948dd5	refactor(worktree): tag errors without changing the API (#52631 ) Co-authored-by: rekram1-node <rekram1-node@users.noreply.github.com>	2026-10-01 23:09:27 -05:00
Aiden Cline	64744ce034	fix(core): explain why the provider blocked a compaction (#52664 )	2026-10-01 23:07:32 -05:00
Kit Langton	840cd232a8	refactor(core): remove orphaned filesystem ignore patterns (#52658 )	2026-10-02 04:05:58 +00:00
Kit Langton	ce97dd2805	refactor(core): drop unused imports (#52659 )	2026-10-02 04:05:40 +00:00
Kit Langton	f00390665f	refactor(core): remove unused aisdk text helper (#52657 )	2026-10-02 04:05:05 +00:00
Kit Langton	05018b8862	refactor(schema): export Identifier namespace and drop core re-export (#52644 )	2026-10-02 03:46:17 +00:00
Aiden Cline	1404566141	refactor(core): type directory initialization errors (#52649 )	2026-10-01 22:45:08 -05:00
Kit Langton	37a426e7f4	refactor(core): delete unused v1 permission and config errors (#52637 )	2026-10-02 03:29:43 +00:00
Kit Langton	ef867267a5	refactor(core): drop unused default Copilot provider instance (#52648 )	2026-10-02 03:29:28 +00:00
Kit Langton	e366ab40c4	refactor(core): delete unused Newtype helper (#52647 )	2026-10-02 03:27:38 +00:00
Kit Langton	317dfbc6b3	fix(ai): report mid-stream connection loss instead of a decode error (#52634 )	2026-10-02 03:21:36 +00:00
James Long	a8761745a2	fix(core): accept partial model capabilities in native provider config (#51365 )	2026-10-01 22:15:01 -05:00
Luke Parker	b47d8db9bc	fix(app): keep stuck timeline headers out of the title fade (#52639 )	2026-10-02 12:59:37 +10:00
Aiden Clineandrekram1-node	4c0d0ff478	fix(core): default provider header and chunk timeouts to five minutes (#49229 ) Co-authored-by: rekram1-node <rekram1-node@users.noreply.github.com>	2026-10-01 21:41:53 -05:00
Luke Parker	ba0eeddff4	fix(app): keep browser surface aligned through layout transitions (#52632 )	2026-10-02 12:36:43 +10:00
Aiden Cline	3bae692dd2	fix(ai): enable Alibaba chat prompt caching (#52612 )	2026-10-01 20:56:45 -05:00
Luke Parker	56145fce05	fix(app): restore pre-extension behavior found in the A/B audit (#52620 )	2026-10-02 11:41:46 +10:00
opencode-agent[bot]andrekram1-node	4f0d6d0ab6	docs(tui): correct shortcut reference (#52606 ) Co-authored-by: rekram1-node <rekram1-node@users.noreply.github.com>	2026-10-01 20:24:10 -05:00
opencode-agent[bot]andrekram1-node	5fdeed271d	docs(compaction): use authenticated API command (#52608 ) Co-authored-by: rekram1-node <rekram1-node@users.noreply.github.com>	2026-10-01 20:23:58 -05:00
opencode-agent[bot]andrekram1-node	ab5d49666a	docs(plugin): align session methods with API (#52607 ) Co-authored-by: rekram1-node <rekram1-node@users.noreply.github.com>	2026-10-01 19:58:30 -05:00
opencode-agent[bot]rekram1-node Aiden Cline	8a3185b66c	docs(websearch): include TinyFish provider (#52604 ) Co-authored-by: rekram1-node <rekram1-node@users.noreply.github.com> Co-authored-by: Aiden Cline <63023139+rekram1-node@users.noreply.github.com>	2026-10-01 19:34:42 -05:00
opencode-agent[bot]andrekram1-node	37f3e239c6	docs(cli): fix command examples (#52603 ) Co-authored-by: rekram1-node <rekram1-node@users.noreply.github.com>	2026-10-01 19:34:08 -05:00
opencode-agent[bot]andrekram1-node	2deb0e250f	docs(mcp): correct session metadata key (#52602 ) Co-authored-by: rekram1-node <rekram1-node@users.noreply.github.com>	2026-10-01 19:33:37 -05:00
Aiden Cline	e41756cfc4	fix(ai): isolate Groq and Vertex metadata keys (#52598 )	2026-10-01 19:24:08 -05:00
Shoubhit Dash	8b24fc8c2a	feat(app): show last turn changes in review panel (#51640 )	2026-10-02 06:39:33 +08:00
Filip	0f9f0a9ae3	fix(core): ignore directories named AGENTS.md during instruction discovery (#52576 )	2026-10-01 23:12:26 +02:00
Aiden Cline	f9e61fd9a3	fix(core): drop legacy catalog context pricing (#52582 )	2026-10-01 16:09:38 -05:00
James Long	5256112bac	feat(cli): check for updates every 10 minutes (#52552 )	2026-10-01 16:29:04 -04:00
Filip	afc5d1e21f	test(core): test Azure plugin behavior instead of fakes (#52570 )	2026-10-01 21:42:39 +02:00
opencode-agent[bot]	80ecb3fc89	chore: update nix node_modules hashes	2026-10-01 19:19:55 +00:00
Shoubhit Dash	31a683f5ca	chore(acp): bump @agentclientprotocol/sdk to 1.6.0 (#52559 )	2026-10-02 00:38:00 +05:30
Aiden Cline	5d707f1a2b	fix(ai): classify Together input token rejections as context overflow (#52133 )	2026-10-01 14:07:15 -05:00
Aiden Cline	e2948f5a51	fix(core): skip automatic copies of directly read instructions (#52382 )	2026-10-01 13:59:02 -05:00
Filip	fbe8a9f7b4	feat(core): discover Azure deployments (#50053 )	2026-10-01 20:42:12 +02:00
Aiden Cline	033b9ea560	fix(ai): make Claude capability defaults forward-compatible (#52535 )	2026-10-01 13:20:54 -05:00
Shoubhit Dash	7bb3fbf095	feat(acp): support additional workspace directories (#52524 )	2026-10-01 23:47:00 +05:30
Shoubhit Dash	507e117466	chore(ci): remove unused ffmpeg install (#52547 )	2026-10-01 23:38:06 +05:30
Shoubhit Dash	1549712761	fix(acp): fall back to a reference for unreadable resource links (#52520 )	2026-10-01 23:03:39 +05:30
opencode-agent[bot]andrekram1-node	4f37be6265	fix(ai): place Bedrock tool images by model family (#52528 ) Co-authored-by: rekram1-node <rekram1-node@users.noreply.github.com>	2026-10-01 11:58:36 -05:00
Rémy SanchezandAiden Cline	7b04288099	fix(ai): support prompt caching for DigitalOcean inference (#51559 ) Co-authored-by: Aiden Cline <aidenpcline@gmail.com>	2026-10-01 11:56:04 -05:00
Shoubhit Dash	96339544bf	feat(acp): answer V2 forms through ACP elicitation (#52511 )	2026-10-01 22:17:50 +05:30
Adam	b03d760f43	feat(core): explain why the provider blocked a response (#52518 )	2026-10-01 11:23:40 -05:00
Shoubhit Dash	b73e75fb6a	test(tui): isolate app fixture state (#52512 )	2026-10-01 21:49:07 +05:30
Shoubhit Dash	08c15ec1cd	fix(acp): send available commands after the session response (#52522 )	2026-10-01 21:42:35 +05:30
Shoubhit Dash	48f3c2e923	fix(acp): map invalid requests to invalid params (#52521 )	2026-10-01 21:34:24 +05:30
Shoubhit Dash	3d94a90978	refactor(acp): run permission requests as effects (#52510 )	2026-10-01 20:59:05 +05:30
Shoubhit Dash	2c33922412	refactor(acp): run ACP turns as interruptible effects (#52503 )	2026-10-01 19:31:40 +05:30
Shoubhit Dash	7e42a897bc	feat(acp): follow model and agent changes from other clients (#52499 )	2026-10-01 18:45:52 +05:30
Shoubhit Dash	d8663e1fe8	chore(ci): cancel superseded check runs (#52498 )	2026-10-01 18:43:55 +05:30
Shoubhit Dash	a6b10e3e87	fix(ci): stabilize bun cache keys (#52495 )	2026-10-01 18:36:05 +05:30
Shoubhit Dash	3400375fb3	refactor(acp): split the promise turn from the session lifecycle (#52493 )	2026-10-01 18:06:09 +05:30
opencode-agent[bot]	ffb51318f6	chore(core): refresh bundled models.dev snapshot	2026-10-01 12:22:44 +00:00
Shoubhit Dash	b1157ebb04	feat(acp): mark compactions for ACP clients (#52485 )	2026-10-01 17:33:45 +05:30
Shoubhit Dash	3e4cdcd180	refactor(acp): move ACP sessions into a scoped effect registry (#52488 )	2026-10-01 17:33:08 +05:30
Shoubhit Dash	0a6f380db7	fix(acp): report locations for native file tools (#52469 )	2026-10-01 16:59:46 +05:30
Shoubhit Dash	44336e8b84	refactor(acp): run the catalog as an effect service (#52471 )	2026-10-01 16:53:10 +05:30
Shoubhit Dash	20cf09752d	fix(acp): report usage for the whole turn (#52467 )	2026-10-01 16:21:26 +05:30
Shoubhit Dash	966e718b31	fix(acp): stop echoing edited files to the client (#52466 )	2026-10-01 16:20:16 +05:30
opencode-agent[bot]andnexxeln	cf0c9fb914	docs(plugin): use path in skill transform examples (#52470 ) Co-authored-by: nexxeln <95541290+nexxeln@users.noreply.github.com>	2026-10-01 16:09:33 +05:30