refactor(ai): simplify sseFraming and untrace inner request-lowering helpers (#53072 )

fix(client): preserve service on protocol-only reconnect mismatch (#50825 )
chore(app): clear lint warnings in GUI files touched by the Effect upgrade (#53098 )
2026-10-04 22:46:17 +00:00 · 2026-10-04 16:27:06 -05:00 · 2026-10-04 13:30:43 -07:00 · 2026-10-04 12:04:16 -07:00 · 2026-10-04 13:59:27 +00:00 · 2026-10-04 17:07:07 +05:30
1114 changed files with 37979 additions and 16902 deletions
@@ -18,9 +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: {
@@ -584,7 +584,7 @@ const serverToolResultType = (name: string): AnthropicServerToolResultType | und
  return undefined
 }

-const lowerServerToolResult = Effect.fn("AnthropicMessages.lowerServerToolResult")(function* (
+const lowerServerToolResult = Effect.fnUntraced(function* (
  part: ToolResultPart,
  providerMetadataKey: string,
 ) {
@@ -657,7 +657,7 @@ const citationsFromMetadata = (metadata: MediaPart["metadata"]): AnthropicDocume

 const isHttpUrl = (value: string) => /^https?:\/\//i.test(value.trim())

-const lowerMedia = Effect.fn("AnthropicMessages.lowerMedia")(function* (
+const lowerMedia = Effect.fnUntraced(function* (
  part: MediaPart,
  breakpoints?: Cache.Breakpoints,
 ) {
@@ -807,15 +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]) => {
@@ -850,7 +847,7 @@ const splitsLocalToolResults = (messages: LLMRequest["messages"], index: number)
  return pending.size > 0
 }

-const lowerNativeSystemUpdate = Effect.fn("AnthropicMessages.lowerNativeSystemUpdate")(function* (
+const lowerNativeSystemUpdate = Effect.fnUntraced(function* (
  message: LLMRequest["messages"][number],
  breakpoints: Cache.Breakpoints,
 ) {
@@ -865,7 +862,7 @@ const lowerNativeSystemUpdate = Effect.fn("AnthropicMessages.lowerNativeSystemUp
  }
 })

-const lowerMessages = Effect.fn("AnthropicMessages.lowerMessages")(function* (
+const lowerMessages = Effect.fnUntraced(function* (
  request: LLMRequest,
  breakpoints: Cache.Breakpoints,
 ) {
@@ -992,13 +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)
 }

@@ -285,7 +285,7 @@ const lowerToolCall = (part: ToolCallPart, normalizeID: (id: string) => string):
  },
 })

-const lowerToolResultContent = Effect.fn("BedrockConverse.lowerToolResultContent")(function* (
+const lowerToolResultContent = Effect.fnUntraced(function* (
  part: ToolResultPart,
  documentNames: Set<string>,
 ) {
@@ -305,7 +305,7 @@ const lowerToolResultContent = Effect.fn("BedrockConverse.lowerToolResultContent
  return content
 })

-const lowerToolResult = Effect.fn("BedrockConverse.lowerToolResult")(function* (
+const lowerToolResult = Effect.fnUntraced(function* (
  part: ToolResultPart,
  documentNames: Set<string>,
  normalizeID: (id: string) => string,
@@ -319,7 +319,10 @@ const lowerToolResult = Effect.fn("BedrockConverse.lowerToolResult")(function* (
  } satisfies BedrockToolResultBlock
 })

-const lowerMessages = Effect.fn("BedrockConverse.lowerMessages")(function* (
+// 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.fnUntraced(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"
@@ -283,7 +283,7 @@ const lowerToolConfig = (toolChoice: NonNullable<LLMRequest["toolChoice"]>) =>
    tool: (name) => ({ functionCallingConfig: { mode: "ANY" as const, allowedFunctionNames: [name] } }),
  })

-const lowerContentPart = Effect.fn("Gemini.lowerContentPart")(function* (part: TextPart | MediaPart) {
+const lowerContentPart = Effect.fnUntraced(function* (part: TextPart | MediaPart) {
  if (part.type === "text") return { text: part.text }
  return yield* GeminiGenerateContent.mediaPart("Gemini", part.media)
 })
@@ -302,7 +302,7 @@ const lowerToolCall = (part: ToolCallPart, omitIds: boolean, metadataKey: string
  thoughtSignature: thoughtSignature(part.providerMetadata, metadataKey),
 })

-const lowerMessages = Effect.fn("Gemini.lowerMessages")(function* (request: LLMRequest) {
+const lowerMessages = Effect.fnUntraced(function* (request: LLMRequest) {
  const contents: GeminiContent[] = []
  const metadataKey = request.model.route.providerMetadataKey ?? String(request.model.provider)
  const omitCallIds = omitsFunctionCallIds(request.model.id)
@@ -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.fnUntraced(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.fnUntraced(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.fnUntraced(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)]),
@@ -223,7 +226,7 @@ const MistralEvent = Schema.StructWithRest(
 type MistralEvent = Schema.Schema.Type<typeof MistralEvent>
 const MistralStreamEvent = Schema.Union([Schema.Literal(DONE), Protocol.jsonEvent(MistralEvent)])

-const lowerMedia = Effect.fn("MistralChat.lowerMedia")(function* (part: MediaPart) {
+const lowerMedia = Effect.fnUntraced(function* (part: MediaPart) {
  const mime = part.media.mediaType.toLowerCase()
  const url =
    ProviderShared.mediaUrl(part.media) ??
@@ -233,7 +236,7 @@ const lowerMedia = Effect.fn("MistralChat.lowerMedia")(function* (part: MediaPar
  return yield* ProviderShared.invalidRequest(`Mistral Chat does not support media type ${part.media.mediaType}`)
 })

-const lowerUser = Effect.fn("MistralChat.lowerUser")(function* (message: LLMRequest["messages"][number]) {
+const lowerUser = Effect.fnUntraced(function* (message: LLMRequest["messages"][number]) {
  const content: MistralUserContent[] = []
  for (const part of message.content) {
    if (part.type === "text") {
@@ -257,7 +260,7 @@ const lowerToolCall = (part: ToolCallPart, normalizeID: (id: string) => string):
  function: { name: part.name, arguments: ProviderShared.encodeJson(part.input) },
 })

-const lowerAssistant = Effect.fn("MistralChat.lowerAssistant")(function* (
+const lowerAssistant = Effect.fnUntraced(function* (
  message: LLMRequest["messages"][number],
  normalizeID: (id: string) => string,
  prefix: boolean,
@@ -295,7 +298,7 @@ const lowerAssistant = Effect.fn("MistralChat.lowerAssistant")(function* (
  }
 })

-const lowerToolResults = Effect.fn("MistralChat.lowerToolResults")(function* (
+const lowerToolResults = Effect.fnUntraced(function* (
  message: LLMRequest["messages"][number],
  normalizeID: (id: string) => string,
 ) {
@@ -332,10 +335,20 @@ const lowerToolResults = Effect.fn("MistralChat.lowerToolResults")(function* (
  return output
 })

-const lowerMessages = Effect.fn("MistralChat.lowerMessages")(function* (request: LLMRequest) {
+const lowerMessages = Effect.fnUntraced(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
@@ -441,7 +442,7 @@ interface ReasoningStreamItem {
 // =============================================================================
 // Request Lowering
 // =============================================================================
-export const lowerTool = Effect.fn("OpenResponses.lowerTool")(function* (protocolName: string, tool: ToolDefinition) {
+export const lowerTool = Effect.fnUntraced(function* (protocolName: string, tool: ToolDefinition) {
  if (tool.native !== undefined)
    return yield* ProviderShared.invalidRequest(`${protocolName} does not support provider-native tool ${tool.name}`)
  return {
@@ -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"]>) =>
@@ -504,7 +507,10 @@ const lowerReasoning = (part: ReasoningPart, providerMetadataKey: string): OpenR
  }
 }

-const lowerMedia = Effect.fn("OpenResponses.lowerMedia")(function* (
+const decodeImageDetail = ProviderShared.validateWith(Schema.decodeUnknownEffect(OpenResponsesInputImage.fields.detail))
+const decodeMessageMetadata = ProviderShared.validateWith(Schema.decodeUnknownEffect(MessageMetadata))
+
+const lowerMedia = Effect.fnUntraced(function* (
  part: MediaPart,
  request: LLMRequest,
  adapter: ProviderAdapter,
@@ -513,9 +519,8 @@ const lowerMedia = Effect.fn("OpenResponses.lowerMedia")(function* (
  const media = part.media.inline()
  const providerMedia = adapter.lowerMedia?.({ part, media, request })
  if (providerMedia) return providerMedia
-  const detail = yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(OpenResponsesInputImage.fields.detail))(
-    part.providerMetadata?.[metadataKey(request.model)]?.detail,
-  )
+  const rawDetail = part.providerMetadata?.[metadataKey(request.model)]?.detail
+  const detail = rawDetail === undefined ? undefined : yield* decodeImageDetail(rawDetail)
  const mime = part.media.mediaType.toLowerCase()
  const url = ProviderShared.mediaUrl(part.media)
  const location = url ?? (yield* ProviderShared.requireInlineMedia(adapter.name, part.media)).dataUrl
@@ -588,17 +593,16 @@ const lowerToolResultOutput = Effect.fnUntraced(function* (

 const DEFAULT_EFFORT = "medium"

-const lowerMessages = Effect.fn("OpenResponses.lowerMessages")(function* (
+const lowerMessages = Effect.fnUntraced(function* (
  request: LLMRequest,
  adapter: ProviderAdapter,
 ) {
-  const input: LoweredInputItem[] = []
+  const input: OpenResponsesInputItem[] = []
  const providerMetadataKey = metadataKey(request.model)

  for (const message of request.messages) {
-    const metadata = yield* ProviderShared.validateWith(
-      Schema.decodeUnknownEffect(Schema.UndefinedOr(MessageMetadata)),
-    )(message.providerMetadata?.[providerMetadataKey])
+    const rawMetadata = message.providerMetadata?.[providerMetadataKey]
+    const metadata = rawMetadata === undefined ? undefined : yield* decodeMessageMetadata(rawMetadata)
    if (message.role === "system") {
      const update = effortUpdate(message)
      if (update) {
@@ -752,7 +756,7 @@ const lowerMessages = Effect.fn("OpenResponses.lowerMessages")(function* (
  return input
 })

-export const lowerConversation = Effect.fn("OpenResponses.lowerConversation")(function* (
+export const lowerConversation = Effect.fnUntraced(function* (
  request: LLMRequest,
  adapter: ProviderAdapter,
 ) {
@@ -827,11 +831,7 @@ 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({
@@ -365,7 +360,7 @@ const lowerToolCall = (
  extra_content: decodeExtraContent(part.providerMetadata?.[options.providerMetadataKey]?.extraContent),
 })

-const lowerMedia = Effect.fn("OpenAIChat.lowerMedia")(function* (part: MediaPart) {
+const lowerMedia = Effect.fnUntraced(function* (part: MediaPart) {
  // Chat Completions accepts PDFs, and no other documents, as inline `file` parts; file URLs are not supported.
  if (part.media.mediaType.toLowerCase() === "application/pdf")
    return {
@@ -411,7 +406,7 @@ const lowerReasoningDetail = (detail: ReasoningDetail) => {

 const isKimiDetail = (detail: { readonly type: string }) => detail.type === "summary" || detail.type === "encrypted"

-const lowerUserMessage = Effect.fn("OpenAIChat.lowerUserMessage")(function* (
+const lowerUserMessage = Effect.fnUntraced(function* (
  message: OpenAIChatRequestMessage,
  options: LoweringOptions,
 ) {
@@ -435,7 +430,7 @@ const lowerUserMessage = Effect.fn("OpenAIChat.lowerUserMessage")(function* (
  return { role: "user" as const, content }
 })

-const lowerAssistantMessage = Effect.fn("OpenAIChat.lowerAssistantMessage")(function* (
+const lowerAssistantMessage = Effect.fnUntraced(function* (
  message: OpenAIChatRequestMessage,
  configuredField: string | undefined,
  requireReasoning: boolean,
@@ -500,7 +495,7 @@ const lowerAssistantMessage = Effect.fn("OpenAIChat.lowerAssistantMessage")(func
  return { ...result, [field]: reasoningText }
 })

-const lowerToolMessages = Effect.fn("OpenAIChat.lowerToolMessages")(function* (
+const lowerToolMessages = Effect.fnUntraced(function* (
  message: OpenAIChatRequestMessage,
  options: LoweringOptions,
 ) {
@@ -537,7 +532,7 @@ const toolMessage = (toolCallID: string, text: string, cacheControl: OpenAIChatC
  content: cacheControl === undefined ? text : [{ type: "text" as const, text, cache_control: cacheControl }],
 })

-const lowerMessage = Effect.fn("OpenAIChat.lowerMessage")(function* (
+const lowerMessage = Effect.fnUntraced(function* (
  message: OpenAIChatRequestMessage,
  reasoningField: string | undefined,
  requireReasoning: boolean,
@@ -549,7 +544,7 @@ const lowerMessage = Effect.fn("OpenAIChat.lowerMessage")(function* (
  return (yield* lowerToolMessages(message, options)).messages
 })

-const lowerMessages = Effect.fn("OpenAIChat.lowerMessages")(function* (request: LLMRequest, options: LoweringOptions) {
+const lowerMessages = Effect.fnUntraced(function* (request: LLMRequest, options: LoweringOptions) {
  const system: OpenAIChatMessage[] =
    request.system.length === 0
      ? []
@@ -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 = {
@@ -164,7 +157,7 @@ const nativeImageTool = (tool: ToolDefinition) => {
  return Schema.is(OpenAIResponsesImageGenerationTool)(native) ? native : undefined
 }

-const lowerTool = Effect.fn("OpenAIResponses.lowerTool")(function* (tool: ToolDefinition) {
+const lowerTool = Effect.fnUntraced(function* (tool: ToolDefinition) {
  const native = nativeImageToolInput(tool)
  if (native !== undefined) {
    if (Schema.is(OpenAIResponsesImageGenerationTool)(native)) return native
@@ -175,7 +168,7 @@ const lowerTool = Effect.fn("OpenAIResponses.lowerTool")(function* (tool: ToolDe

 // Native namespaces hold only function tools, so deeper levels flatten into
 // the leaf names the same way non-native protocols flatten the whole tree.
-const lowerToolEntry = Effect.fn("OpenAIResponses.lowerToolEntry")(function* (tool: ToolEntry) {
+const lowerToolEntry = Effect.fnUntraced(function* (tool: ToolEntry) {
  if (tool.type === "tool") return yield* lowerTool(tool)
  // OpenAI requires a namespace description; fall back to a generic one so a
  // missing description never blocks the request.
@@ -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 = {
@@ -154,7 +154,7 @@ export const wrapSystemUpdate = (parts: ReadonlyArray<{ readonly text: string }>
 * raw retrieved, tool, or web content into privileged updates: keep untrusted
 * data in ordinary user/tool messages instead.
 */
-export const systemUpdateText = Effect.fn("ProviderShared.systemUpdateText")(function* (
+export const systemUpdateText = Effect.fnUntraced(function* (
  route: string,
  message: LLMRequest["messages"][number],
 ) {
@@ -167,7 +167,7 @@ export const systemUpdateText = Effect.fn("ProviderShared.systemUpdateText")(fun
 })

 /** Lower an unsupported privileged update into visible, in-order user text. */
-export const wrappedSystemUpdate = Effect.fn("ProviderShared.wrappedSystemUpdate")(function* (
+export const wrappedSystemUpdate = Effect.fnUntraced(function* (
  route: string,
  message: LLMRequest["messages"][number],
 ) {
@@ -76,7 +76,7 @@ function documentName(filename: string | undefined, names: Set<string>) {
  return name
 }

-const mediaBase64 = Effect.fn("BedrockMedia.mediaBase64")(function* (part: MediaPart) {
+const mediaBase64 = Effect.fnUntraced(function* (part: MediaPart) {
  const media = yield* ProviderShared.requireInlineMedia("Bedrock Converse", part.media)
  const bytes = yield* Effect.fromResult(Encoding.decodeBase64(media.base64)).pipe(
    Effect.mapError((cause) =>
@@ -91,7 +91,7 @@ const mediaBase64 = Effect.fn("BedrockMedia.mediaBase64")(function* (part: Media
 // document block. Image MIME types not in `IMAGE_FORMATS` (e.g. `image/svg+xml`)
 // get an image-specific error so the caller knows it's a format-support issue,
 // not a kind-detection issue.
-export const lower = Effect.fn("BedrockMedia.lower")(function* (part: MediaPart, documentNames: Set<string>) {
+export const lower = Effect.fnUntraced(function* (part: MediaPart, documentNames: Set<string>) {
  const mime = part.media.mediaType.toLowerCase()
  const imageFormat = IMAGE_FORMATS[mime as keyof typeof IMAGE_FORMATS]
  if (imageFormat) {
@@ -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",
@@ -1,5 +1,5 @@
 import { Effect, Stream } from "effect"
-import { makeParser, type Event } from "effect/unstable/encoding/Sse"
+import { makeParser } from "effect/unstable/encoding/Sse"
 import { AIError, InvalidProviderOutputError } from "../schema/index.js"

 /**
@@ -42,43 +42,39 @@ export const sseFraming = (
    Stream.decodeText(),
    Stream.mapAccumEffect(
      () => {
-        const output: Event[] = []
+        const output: string[] = []
        return {
          output,
          parser: makeParser((event) => {
-            if (event._tag === "Event") output.push(event)
+            if (
+              event._tag === "Event" &&
+              (events === undefined || events.has(event.event)) &&
+              event.data.length > 0 &&
+              // Some OpenAI-compatible proxies serialize an empty flush as a bare
+              // `data: null`, between events or after `[DONE]`. No protocol has a
+              // null event, so it carries nothing and must not abort the stream.
+              event.data !== "null" &&
+              // Vertex AI partner models (e.g. `xai/grok-4.6`) send their SSE
+              // keepalive comment as `data: : keepalive` while reasoning.
+              event.data !== ": keepalive" &&
+              (event.data !== "[DONE]" || includeDone || (events !== undefined && event.event !== "message"))
+            )
+              output.push(event.data)
          }),
        }
      },
-      (state, chunk) =>
-        Effect.gen(function* () {
-          const error = state.parser.feed(chunk)
-          if (error)
-            return yield* new AIError({
-              reason: new InvalidProviderOutputError({
-                route: "sse",
-                message: error.message,
-                body: chunk,
-                cause: error,
-              }),
-            })
-          return [state, state.output.splice(0)] as const
-        }),
+      (state, chunk) => {
+        const error = state.parser.feed(chunk)
+        if (!error) return Effect.succeed([state, state.output.splice(0)] as const)
+        const reason = new InvalidProviderOutputError({
+          route: "sse",
+          message: error.message,
+          body: chunk,
+          cause: error,
+        })
+        return Effect.fail(new AIError({ reason }))
+      },
    ),
-    Stream.filter(
-      (event) =>
-        (events === undefined || events.has(event.event)) &&
-        event.data.length > 0 &&
-        // Some OpenAI-compatible proxies serialize an empty flush as a bare
-        // `data: null`, between events or after `[DONE]`. No protocol has a
-        // null event, so it carries nothing and must not abort the stream.
-        event.data !== "null" &&
-        // Vertex AI partner models (e.g. `xai/grok-4.6`) send their SSE
-        // keepalive comment as `data: : keepalive` while reasoning.
-        event.data !== ": keepalive" &&
-        (event.data !== "[DONE]" || includeDone || (events !== undefined && event.event !== "message")),
-    ),
-    Stream.map((event) => event.data),
  )

 /** Server-Sent Events framing. Used by every JSON-streaming HTTP provider. */
@@ -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 }),
@@ -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(
@@ -1,13 +1,12 @@
 import { describe, expect, test } from "bun:test"
 import { Effect } from "effect"
-import { LLM, LLMRequest, Message, ToolCallPart } from "../src/index.js"
+import { LLM, Message, ToolCallPart } from "../src/index.js"
 import { Auth, LLMClient } from "../src/route.js"
 import { compileRequest } from "../src/route/client.js"
 import { AnthropicMessages } from "../src/protocols/anthropic-messages.js"
 import { OpenAIResponses } from "../src/protocols/openai-responses.js"
 import { Gemini } from "../src/protocols/gemini.js"
 import { GoogleVertexMessages, OpenAI } from "../src/providers.js"
-import { applyCachePolicy } from "../src/cache-policy.js"
 import { applyEffortUpdates } from "../src/effort-updates.js"
 import { it, testEffect } from "./lib/effect.js"
 import { dynamicResponse } from "./lib/http.js"
@@ -197,9 +196,15 @@ 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,iVBORw0KGgoAAAANSUhEUgAAAnYAAACKCAYAAAAnmweyAAACKWlUWHRYTUw6Y29tLmFkb2JlLnhtcAAAAAAAPD94cGFja2V0IGJlZ2luPSLvu78iIGlkPSJXNU0wTXBDZWhpSHpyZVN6TlRjemtjOWQiPz4KPHg6eG1wbWV0YSB4bWxuczp4PSJhZG9iZTpuczptZXRhLyIgeDp4bXB0az0iWE1QIENvcmUgNi4wLjAiPgogPHJkZjpSREYgeG1sbnM6cmRmPSJodHRwOi8vd3d3LnczLm9yZy8xOTk5LzAyLzIyLXJkZi1zeW50YXgtbnMjIj4KICA8cmRmOkRlc2NyaXB0aW9uIHJkZjphYm91dD0iIgogICAgeG1sbnM6ZXhpZj0iaHR0cDovL25zLmFkb2JlLmNvbS9leGlmLzEuMC8iCiAgICB4bWxuczp0aWZmPSJodHRwOi8vbnMuYWRvYmUuY29tL3RpZmYvMS4wLyIKICAgZXhpZjpQaXhlbFhEaW1lbnNpb249IjYzMCIKICAgZXhpZjpVc2VyQ29tbWVudD0iU2NyZWVuc2hvdCIKICAgZXhpZjpQaXhlbFlEaW1lbnNpb249IjEzOCIKICAgdGlmZjpZUmVzb2x1dGlvbj0iMTQ0LzEiCiAgIHRpZmY6WFJlc29sdXRpb249IjE0NC8xIgogICB0aWZmOlJlc29sdXRpb25Vbml0PSIyIi8+CiA8L3JkZjpSREY+CjwveDp4bXBtZXRhPgo8P3hwYWNrZXQgZW5kPSJyIj8+at0SpgAACrhpQ0NQSUNDIFByb2ZpbGUAAEiJlZcHUFNZF8fvey+dhJYQASmh994CSAmhBVCQDjZCEiAQQkxBwa4sruBaUBHBsqKrIgo2qg0RxbYo9r4gi4iyLhZsqHwPGMLufvN933xn5s75zXnn/u+5d959cx4AFFOuRCKC1QHIFsul0SEBjMSkZAb+JcACTUACnoDK5ckkrKioCIDahP+7fbgLoFF/y25U69+f/1fT4AtkPACgKJRT+TJeNsonAIABTyKVA4CgDEwWyCWjfB9lmhQtEOWBUU4fY8yoDi11nGljObHRbJQtASCQuVxpOgBkVzTOyOWlozrkWJQdxXyhGOUClH2zs3P4KLehbInmSFAe1Wem/kUn/W+aqUpNLjddyeN7GTNCoFAmEXHz/s/j+N+WLVJMrGGBDnKGNDQa9Xrouf2elROuZHHqjMgJFvLH8sc4QxEaN8E8GTt5gmWiGM4E87mB4Uod0YyICU4TBitzhHJO7AQLZEExEyzNiVaumyZlsyaYK52sQZEVp4xnCDhK/fyM2IQJzhXGz1DWlhUTPpnDVsalimjlXgTikIDJdYOV55At+8vehRzlXHlGbKjyHLiT9QvErElNWaKyNr4gMGgyJ06ZL5EHKNeSiKKU+QJRiDIuy41RzpWjL+fk3CjlGWZyw6ImGMQAOVAAPhCCHMAAgaiXAQkQAS7IkwsWykc3xM6R5EmF6RlyBgu9dQIGR8yzt2U4Ozq7AzB6h8dfkXf0sbsJ0a9MxlZVAeDTNDIycnIyFnYDgKMpAJDqJmOWcwBQ7wPg0imeQpo7Hhu7a1j0y6AGaEAHGAATYAnsgDNwB97AHwSBMBAJYkESmAt4IANkAylYABaDFaAQFIMNYAsoB7vAHnAAHAbHQAM4Bc6Bi+AquAHugEegC/SCV2AQfADDEAThIQpEhXQgQ8gMsoGcISbkCwVBEVA0lASlQOmQGFJAi6FVUDFUApVDu6Eq6CjUBJ2DLkOd0AOoG+qH3kJfYAQmwzRYHzaHHWAmzILD4Vh4DpwOz4fz4QJ4HVwGV8KH4Hr4HHwVvgN3wa/gIQQgKggdMULsECbCRiKRZCQNkSJLkSKkFKlEapBmpB25hXQhA8hnDA5DxTAwdhhvTCgmDsPDzMcsxazFlGMOYOoxbZhbmG7MIOY7loLVw9pgvbAcbCI2HbsAW4gtxe7D1mEvYO9ge7EfcDgcHWeB88CF4pJwmbhFuLW4HbhaXAuuE9eDG8Lj8Tp4G7wPPhLPxcvxhfht+EP4s/ib+F78J4IKwZDgTAgmJBPEhJWEUsJBwhnCTUIfYZioTjQjehEjiXxiHnE9cS+xmXid2EscJmmQLEg+pFhSJmkFqYxUQ7pAekx6p6KiYqziqTJTRaiyXKVM5YjKJZVulc9kTbI1mU2eTVaQ15H3k1vID8jvKBSKOcWfkkyRU9ZRqijnKU8pn1SpqvaqHFW+6jLVCtV61Zuqr9WIamZqLLW5avlqpWrH1a6rDagT1c3V2epc9aXqFepN6vfUhzSoGk4akRrZGms1Dmpc1nihidc01wzS5GsWaO7RPK/ZQ0WoJlQ2lUddRd1LvUDtpeFoFjQOLZNWTDtM66ANamlquWrFay3UqtA6rdVFR+jmdA5dRF9PP0a/S/8yRX8Ka4pgypopNVNuTvmoPVXbX1ugXaRdq31H+4sOQydIJ0tno06DzhNdjK617kzdBbo7dS/oDkylTfWeyptaNPXY1Id6sJ61XrTeIr09etf0hvQN9EP0Jfrb9M/rDxjQDfwNMg02G5wx6DekGvoaCg03G541fMnQYrAYIkYZo40xaKRnFGqkMNpt1GE0bGxhHGe80rjW+IkJyYRpkmay2aTVZNDU0HS66WLTatOHZkQzplmG2VazdrOP5hbmCearzRvMX1hoW3As8i2qLR5bUiz9LOdbVlretsJZMa2yrHZY3bCGrd2sM6wrrK/bwDbuNkKbHTadtlhbT1uxbaXtPTuyHcsu167artuebh9hv9K+wf61g6lDssNGh3aH745ujiLHvY6PnDSdwpxWOjU7vXW2duY5VzjfdqG4BLssc2l0eeNq4ypw3el6343qNt1ttVur2zd3D3epe417v4epR4rHdo97TBozirmWeckT6xnguczzlOdnL3cvudcxrz+97byzvA96v5hmMU0wbe+0Hh9jH67Pbp8uX4Zviu/Pvl1+Rn5cv0q/Z/4m/nz/ff59LCtWJusQ63WAY4A0oC7gI9uLvYTdEogEhgQWBXYEaQbFBZUHPQ02Dk4Prg4eDHELWRTSEooNDQ/dGHqPo8/hcao4g2EeYUvC2sLJ4THh5eHPIqwjpBHN0+HpYdM3TX88w2yGeEZDJIjkRG6KfBJlETU/6uRM3MyomRUzn0c7RS+Obo+hxsyLORjzITYgdn3sozjLOEVca7xa/Oz4qviPCYEJJQldiQ6JSxKvJukmCZMak/HJ8cn7kodmBc3aMqt3ttvswtl351jMWTjn8lzduaK5p+epzePOO56CTUlIOZjylRvJreQOpXJSt6cO8ti8rbxXfH/+Zn6/wEdQIuhL80krSXuR7pO+Kb0/wy+jNGNAyBaWC99khmbuyvyYFZm1P2tElCCqzSZkp2Q3iTXFWeK2HIOchTmdEhtJoaRrvtf8LfMHpeHSfTJINkfWKKehzdI1haXiB0V3rm9uRe6nBfELji/UWCheeC3POm9NXl9+cP4vizCLeItaFxstXrG4ewlrye6l0NLUpa3LTJYVLOtdHrL8wArSiqwVv650XFmy8v2qhFXNBfoFywt6fgj5obpQtVBaeG+19+pdP2J+FP7YscZlzbY134v4RVeKHYtLi7+u5a298pPTT2U/jaxLW9ex3n39zg24DeINdzf6bTxQolGSX9Kzafqm+s2MzUWb32+Zt+VyqWvprq2krYqtXWURZY3bTLdt2Pa1PKP8TkVARe12ve1rtn/cwd9xc6f/zppd+ruKd335Wfjz/d0hu+srzStL9+D25O55vjd+b/svzF+q9unuK973bb94f9eB6ANtVR5VVQf1Dq6vhqsV1f2HZh+6cTjwcGONXc3uWnpt8RFwRHHk5dGUo3ePhR9rPc48XnPC7MT2OmpdUT1Un1c/2JDR0NWY1NjZFNbU2uzdXHfS/uT+U0anKk5rnV5/hnSm4MzI2fyzQy2SloFz6ed6Wue1PjqfeP5228y2jgvhFy5dDL54vp3VfvaSz6VTl70uN11hXmm46n61/prbtbpf3X6t63DvqL/ucb3xhueN5s5pnWdu+t08dyvw1sXbnNtX78y403k37u79e7Pvdd3n33/xQPTgzcPch8OPlj/GPi56ov6k9Kne08rfrH6r7XLvOt0d2H3tWcyzRz28nle/y37/2lvwnPK8tM+wr+qF84tT/cH9N17Oetn7SvJqeKDwD40/tr+2fH3iT/8/rw0mDva+kb4Zebv2nc67/e9d37cORQ09/ZD9Yfhj0SedTwc+Mz+3f0n40je84Cv+a9k3q2/N38O/Px7JHhmRcKXcsVYAQQeclgbA2/0AUJIAoKI9BGnWeI89ZtD4f8EYgf/E4334mKGdSw3qRtsjdgsAR9BhvhwANX8ARlujWH8Au7gox0Q/PNa7jxoO/Yup8UK0Vjk9ta0C/7Txvv4vdf/TA6Xq3/y/AOOhDyne6KAWAAAAimVYSWZNTQAqAAAACAAEARoABQAAAAEAAAA+ARsABQAAAAEAAABGASgAAwAAAAEAAgAAh2kABAAAAAEAAABOAAAAAAAAAJAAAAABAAAAkAAAAAEAA5KGAAcAAAASAAAAeKACAAQAAAABAAACdqADAAQAAAABAAAAigAAAABBU0NJSQAAAFNjAAAAAAAAAADxh4F4AAAAHGlET1QAAAACAAAAAAAAAEUAAAAoAAAARQAAAEUAAAbT33OL9AAABp9Line 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"
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@@ -12,7 +12,7 @@
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{\"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
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@@ -20,14 +20,14 @@
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@@ -11,7 +11,7 @@
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@@ -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"
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@@ -22,14 +22,14 @@
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        "status": 200,
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      }
    }
  ]
@@ -11,7 +11,7 @@
      "usage"
    ],
    "name": "alibaba-chat/qwen-3-8-max-streams-medium-effort",
-    "recordedAt": "2026-09-08T03:09:38.233Z"
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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
      }
    }
  ]
@@ -1,29 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "name": "anthropic-messages/accepts-malformed-assistant-tool-order-with-default-patch",
-    "recordedAt": "2026-05-05T20:09:16.245Z",
-    "tags": ["prefix:anthropic-messages", "provider:anthropic", "protocol:anthropic-messages", "tool"]
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.anthropic.com/v1/messages",
-        "headers": {
-          "anthropic-version": "2023-06-01",
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"claude-haiku-4-5-20251001\",\"messages\":[{\"role\":\"assistant\",\"content\":[{\"type\":\"text\",\"text\":\"I will check the weather.\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"tool_use\",\"id\":\"call_1\",\"name\":\"get_weather\",\"input\":{\"city\":\"Paris\"}}]},{\"role\":\"user\",\"content\":[{\"type\":\"tool_result\",\"tool_use_id\":\"call_1\",\"content\":\"{\\\"temperature\\\":\\\"72F\\\"}\"}]},{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Use that result to answer briefly.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get weather\",\"input_schema\":{\"type\":\"object\",\"properties\":{}}}],\"stream\":true,\"max_tokens\":4096}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream; charset=utf-8"
-        },
-        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"model\":\"claude-haiku-4-5-20251001\",\"id\":\"msg_01SikJVFaMR1XLMtavUhvuog\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"stop_reason\":null,\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":638,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"output_tokens\":1,\"service_tier\":\"standard\",\"inference_geo\":\"not_available\"}}               }\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}          }\n\nevent: ping\ndata: {\"type\": \"ping\"}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"The\"}     }\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" weather in Paris is currently 72°F.\"}        }\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\",\"stop_sequence\":null,\"stop_details\":null},\"usage\":{\"input_tokens\":638,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"output_tokens\":14}              }\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"             }\n\n"
-      }
-    }
-  ]
-}
@@ -1,56 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "name": "anthropic-messages/claude-opus-4-7-drives-a-tool-loop",
-    "recordedAt": "2026-05-03T19:59:44.186Z",
-    "tags": [
-      "prefix:anthropic-messages",
-      "provider:anthropic",
-      "protocol:anthropic-messages",
-      "tool",
-      "tool-loop",
-      "golden",
-      "flagship"
-    ]
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.anthropic.com/v1/messages",
-        "headers": {
-          "anthropic-version": "2023-06-01",
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"claude-opus-4-7\",\"system\":[{\"type\":\"text\",\"text\":\"Use the get_weather tool, then answer in one short sentence.\"}],\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is the weather in Paris?\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"stream\":true,\"max_tokens\":80}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream; charset=utf-8"
-        },
-        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"model\":\"claude-opus-4-7\",\"id\":\"msg_01DgAEgLgB1ZhavZon4qGE1t\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"stop_reason\":null,\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":798,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"output_tokens\":0,\"service_tier\":\"standard\",\"inference_geo\":\"global\"}}    }\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"tool_use\",\"id\":\"toolu_01M8nJQQMxqpv1VaPYuJKT4j\",\"name\":\"get_weather\",\"input\":{},\"caller\":{\"type\":\"direct\"}}              }\n\nevent: ping\ndata: {\"type\": \"ping\"}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"\"} }\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"{\\\"city\\\": \"}              }\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"\\\"Pa\"}    }\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"ris\\\"}\"}  }\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0           }\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"tool_use\",\"stop_sequence\":null,\"stop_details\":null},\"usage\":{\"input_tokens\":798,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"output_tokens\":66}             }\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"            }\n\n"
-      }
-    },
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.anthropic.com/v1/messages",
-        "headers": {
-          "anthropic-version": "2023-06-01",
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"claude-opus-4-7\",\"system\":[{\"type\":\"text\",\"text\":\"Use the get_weather tool, then answer in one short sentence.\"}],\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is the weather in Paris?\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"tool_use\",\"id\":\"toolu_01M8nJQQMxqpv1VaPYuJKT4j\",\"name\":\"get_weather\",\"input\":{\"city\":\"Paris\"}}]},{\"role\":\"user\",\"content\":[{\"type\":\"tool_result\",\"tool_use_id\":\"toolu_01M8nJQQMxqpv1VaPYuJKT4j\",\"content\":\"{\\\"temperature\\\":22,\\\"condition\\\":\\\"sunny\\\"}\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"stream\":true,\"max_tokens\":80}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream; charset=utf-8"
-        },
-        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"model\":\"claude-opus-4-7\",\"id\":\"msg_011KJqj32QjkrUAiBFxhmEoG\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"stop_reason\":null,\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":895,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"output_tokens\":5,\"service_tier\":\"standard\",\"inference_geo\":\"global\"}}       }\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}            }\n\nevent: ping\ndata: {\"type\": \"ping\"}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"Paris is curr\"}   }\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"ently sunny at 22°C.\"}           }\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0        }\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\",\"stop_sequence\":null,\"stop_details\":null},\"usage\":{\"input_tokens\":895,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"output_tokens\":19}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
-      }
-    }
-  ]
-}
@@ -1,29 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "name": "anthropic-messages/rejects-malformed-assistant-tool-order-without-patch",
-    "recordedAt": "2026-05-05T20:08:42.597Z",
-    "tags": ["prefix:anthropic-messages", "provider:anthropic", "protocol:anthropic-messages", "tool", "sad-path"]
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.anthropic.com/v1/messages",
-        "headers": {
-          "anthropic-version": "2023-06-01",
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"claude-haiku-4-5-20251001\",\"messages\":[{\"role\":\"assistant\",\"content\":[{\"type\":\"tool_use\",\"id\":\"call_1\",\"name\":\"get_weather\",\"input\":{\"city\":\"Paris\"}},{\"type\":\"text\",\"text\":\"I will check the weather.\"}]},{\"role\":\"user\",\"content\":[{\"type\":\"tool_result\",\"tool_use_id\":\"call_1\",\"content\":\"{\\\"temperature\\\":\\\"72F\\\"}\"}]},{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Use that result to answer briefly.\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get weather\",\"input_schema\":{\"type\":\"object\",\"properties\":{}}}],\"stream\":true,\"max_tokens\":4096}"
-      },
-      "response": {
-        "status": 400,
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"type\":\"error\",\"error\":{\"type\":\"invalid_request_error\",\"message\":\"messages.1: `tool_use` ids were found without `tool_result` blocks immediately after: call_1. Each `tool_use` block must have a corresponding `tool_result` block in the next message.\"},\"request_id\":\"req_011Cak2XdJgnzxKCY2BC2Beh\"}"
-      }
-    }
-  ]
-}
@@ -1,29 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "name": "anthropic-messages/streams-text",
-    "recordedAt": "2026-04-28T21:18:45.535Z",
-    "tags": ["prefix:anthropic-messages", "provider:anthropic", "protocol:anthropic-messages"]
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.anthropic.com/v1/messages",
-        "headers": {
-          "anthropic-version": "2023-06-01",
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"claude-haiku-4-5-20251001\",\"system\":[{\"type\":\"text\",\"text\":\"You are concise.\"}],\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Reply with exactly: Hello!\"}]}],\"stream\":true,\"max_tokens\":20,\"temperature\":0}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream; charset=utf-8"
-        },
-        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"model\":\"claude-haiku-4-5-20251001\",\"id\":\"msg_01UodR8c3ezAK8rAfi8HAs8g\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"stop_reason\":null,\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":18,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"output_tokens\":2,\"service_tier\":\"standard\",\"inference_geo\":\"not_available\"}}          }\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}    }\n\nevent: ping\ndata: {\"type\": \"ping\"}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"Hello!\"}    }\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0   }\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\",\"stop_sequence\":null,\"stop_details\":null},\"usage\":{\"input_tokens\":18,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"output_tokens\":5}             }\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"         }\n\n"
-      }
-    }
-  ]
-}
@@ -1,29 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "name": "anthropic-messages/streams-tool-call",
-    "recordedAt": "2026-04-28T21:18:46.878Z",
-    "tags": ["prefix:anthropic-messages", "provider:anthropic", "protocol:anthropic-messages", "tool"]
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.anthropic.com/v1/messages",
-        "headers": {
-          "anthropic-version": "2023-06-01",
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"claude-haiku-4-5-20251001\",\"system\":[{\"type\":\"text\",\"text\":\"Call tools exactly as requested.\"}],\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Call get_weather with city exactly Paris.\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"tool_choice\":{\"type\":\"tool\",\"name\":\"get_weather\"},\"stream\":true,\"max_tokens\":80,\"temperature\":0}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream; charset=utf-8"
-        },
-        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"model\":\"claude-haiku-4-5-20251001\",\"id\":\"msg_01RYgU7NUPMK4B9v8S7gVpCS\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"stop_reason\":null,\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":677,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"output_tokens\":16,\"service_tier\":\"standard\",\"inference_geo\":\"not_available\"}}             }\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"tool_use\",\"id\":\"toolu_012rmAruviySvUXSjgCPWVRu\",\"name\":\"get_weather\",\"input\":{},\"caller\":{\"type\":\"direct\"}}      }\n\nevent: ping\ndata: {\"type\": \"ping\"}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"\"}             }\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"{\\\"city\\\":\"}    }\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\" \\\"Paris\\\"}\"}     }\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0     }\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"tool_use\",\"stop_sequence\":null,\"stop_details\":null},\"usage\":{\"input_tokens\":677,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"output_tokens\":33}              }\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"     }\n\n"
-      }
-    }
-  ]
-}
@@ -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",
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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. 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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. 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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\":\"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 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"
      }
    }
  ]
@@ -1,28 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "name": "openai-chat/continues-after-tool-result",
-    "recordedAt": "2026-05-06T01:33:31.878Z",
-    "tags": ["prefix:openai-chat", "provider:openai", "protocol:openai-chat", "tool"]
-  },
-  "interactions": [
-    {
-      "transport": "http",
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@@ -1,28 +0,0 @@
-{
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-{
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-          "content-type": "text/event-stream"
-        },
-        "body": ": OPENROUTER PROCESSING\n\ndata: {\"id\":\"gen-1778031306-HYzOq04JIk1hZQ4iaNjD\",\"object\":\"chat.completion.chunk\",\"created\":1778031306,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_b6580bbee1\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"id\":\"call_L7mHMq49ZSUTBHjLJfBIP2eT\",\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"arguments\":\"\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031306-HYzOq04JIk1hZQ4iaNjD\",\"object\":\"chat.completion.chunk\",\"created\":1778031306,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_b6580bbee1\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031306-HYzOq04JIk1hZQ4iaNjD\",\"object\":\"chat.completion.chunk\",\"created\":1778031306,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_b6580bbee1\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"{\\\"\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031306-HYzOq04JIk1hZQ4iaNjD\",\"object\":\"chat.completion.chunk\",\"created\":1778031306,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_b6580bbee1\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"city\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031306-HYzOq04JIk1hZQ4iaNjD\",\"object\":\"chat.completion.chunk\",\"created\":1778031306,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_b6580bbee1\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"\\\":\\\"\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031306-HYzOq04JIk1hZQ4iaNjD\",\"object\":\"chat.completion.chunk\",\"created\":1778031306,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_b6580bbee1\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"Paris\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031306-HYzOq04JIk1hZQ4iaNjD\",\"object\":\"chat.completion.chunk\",\"created\":1778031306,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_b6580bbee1\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"\\\"}\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031306-HYzOq04JIk1hZQ4iaNjD\",\"object\":\"chat.completion.chunk\",\"created\":1778031306,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_b6580bbee1\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":\"tool_calls\",\"native_finish_reason\":\"stop\"}]}\n\ndata: {\"id\":\"gen-1778031306-HYzOq04JIk1hZQ4iaNjD\",\"object\":\"chat.completion.chunk\",\"created\":1778031306,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_b6580bbee1\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":\"tool_calls\",\"native_finish_reason\":\"stop\"}],\"usage\":{\"prompt_tokens\":67,\"completion_tokens\":5,\"total_tokens\":72,\"cost\":0.00001305,\"is_byok\":false,\"prompt_tokens_details\":{\"cached_tokens\":0,\"cache_write_tokens\":0,\"audio_tokens\":0,\"video_tokens\":0},\"cost_details\":{\"upstream_inference_cost\":0.00001305,\"upstream_inference_prompt_cost\":0.00001005,\"upstream_inference_completions_cost\":0.000003},\"completion_tokens_details\":{\"reasoning_tokens\":0,\"image_tokens\":0,\"audio_tokens\":0}}}\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()
+    }),
+  )
+})
@@ -8,7 +8,6 @@ import {
  type ProviderMetadata,
  type ToolCallPart,
  ToolResultPart,
-  type ToolResultValue,
  type Usage,
 } from "../../src/schema/index.js"
 import { type Tools, toDefinitions } from "../../src/tool.js"
@@ -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",
    ]

@@ -38,9 +39,7 @@ describe("provider error classification", () => {
    ]

    expect(failures).toEqual(
-      failures.map((failure) =>
-        expect.objectContaining({ _tag: "InvalidRequest", classification: "payload-too-large" }),
-      ),
+      failures.map(() => expect.objectContaining({ _tag: "InvalidRequest", classification: "payload-too-large" })),
    )
  })

@@ -461,6 +460,27 @@ 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) =>
@@ -21,7 +21,6 @@ import {
 import { LLMClient } from "../../src/route.js"
 import { compileRequest } from "../../src/route/client.js"
 import { AmazonBedrock } from "../../src/providers.js"
-import * as BedrockConverse from "../../src/protocols/bedrock-converse.js"
 import { it } from "../lib/effect.js"
 import { withProcessEnv } from "../lib/env.js"
 import { dynamicResponse, fixedResponse } from "../lib/http.js"
@@ -648,6 +647,177 @@ 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(
Author	SHA1	Message	Date
Aiden Cline	238d4cf5ca	refactor(ai): simplify sseFraming and untrace inner request-lowering helpers (#53072 )	2026-10-04 16:27:06 -05:00
Kit Langton	3e77d5c170	fix(client): preserve service on protocol-only reconnect mismatch (#50825 )	2026-10-04 13:30:43 -07:00
Kit Langton	eaf80d99e5	chore(app): clear lint warnings in GUI files touched by the Effect upgrade (#53098 )	2026-10-04 12:04:16 -07:00
opencode-agent[bot]	0a46301e36	chore(core): refresh bundled models.dev snapshot	2026-10-04 13:59:27 +00:00
Shoubhit Dash	c789aa16d1	refactor(ai): remove unused test code (#53126 )	2026-10-04 17:07:07 +05:30
Shoubhit Dash	a515e3bf4b	refactor(ai): delete unregistered recording cassettes (#53127 )	2026-10-04 17:06:42 +05:30
Shoubhit Dash	8380c864bf	feat(plugin): add select dialog search and actions (#53009 )	2026-10-04 16:10:27 +05:30
Shoubhit Dash	247eb5cc9a	fix(tui): allow plugin keymaps during setup (#53010 )	2026-10-04 15:46:34 +05:30
Luke Parker	ecfa884ff8	feat(session-ui): show model variant in message meta (#53112 )	2026-10-04 08:21:24 +00:00
Luke Parker	0d536d2d7d	fix(gui-extensions): avoid startup round trip and keep renamed enable state (#53077 )	2026-10-04 17:40:36 +10:00
Luke Parker	715de7af15	fix(gui-extensions): fix stale details, browser cleanup, update checks and panel state (#53075 )	2026-10-04 17:21:04 +10:00
Luke Parker	077444b94b	fix(app): keep side panel tabs when a session moves (#53081 )	2026-10-04 16:59:52 +10:00
Luke Parker	5589ca43f1	refactor(gui-extensions): tighten the SDK surface (#53078 )	2026-10-04 16:59:43 +10:00
Luke Parker	453dd2ad01	fix(app): load Windows-path markdown images (#53100 )	2026-10-04 06:49:36 +00:00
Luke Parker	44579a5d98	test(app): mock session wait and parse e2e mock payloads (#53095 )	2026-10-04 16:32:34 +10:00
Luke Parker	f8cafd8362	fix(app): stop the browser address bar looking bold when selected (#53087 )	2026-10-04 16:23:08 +10:00
Kit Langton	9155b7b791	fix(app): load component-test modules at the URLs Vite imports them by (#53091 )	2026-10-04 16:06:48 +10:00
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