refactor(tui): drop constant mini frontend exit code

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.

.github/actions/setup-bun/action.yml

@@ -45,14 +45,16 @@ runs:
     - name: Get cache directory
       id: cache
       shell: bash
-      run: echo "dir=$(bun pm cache)" >> "$GITHUB_OUTPUT"
+      run: |
+        echo "dir=$(bun pm cache)" >> "$GITHUB_OUTPUT"
+        echo "version=$(bun --version)" >> "$GITHUB_OUTPUT"
 
     - name: Restore Bun dependencies
       id: bun-cache
       uses: actions/cache/restore@0057852bfaa89a56745cba8c7296529d2fc39830 # v4.3.0
       with:
         path: ${{ steps.cache.outputs.dir }}
-        key: ${{ runner.os }}-bun-${{ hashFiles('**/bun.lock') }}
+        key: ${{ runner.os }}-${{ runner.arch }}-bun-${{ steps.cache.outputs.version }}-${{ hashFiles('bun.lock', 'patches/**') }}
 
     - name: Install setuptools for distutils compatibility
       run: python3 -m pip install setuptools || pip install setuptools || true
@@ -75,4 +77,4 @@ runs:
       uses: actions/cache/save@0057852bfaa89a56745cba8c7296529d2fc39830 # v4.3.0
       with:
         path: ${{ steps.cache.outputs.dir }}
-        key: ${{ runner.os }}-bun-${{ hashFiles('**/bun.lock') }}
+        key: ${{ steps.bun-cache.outputs.cache-primary-key }}

.github/workflows/check.yml

@@ -7,6 +7,10 @@ on:
     branches: [dev, v2]
   workflow_dispatch:
 
+concurrency:
+  group: ${{ case(github.ref == 'refs/heads/dev', format('{0}-{1}', github.workflow, github.run_id), format('{0}-{1}', github.workflow, github.event.pull_request.number || github.ref)) }}
+  cancel-in-progress: true
+
 jobs:
   check:
     name: typecheck

.github/workflows/nix-eval.yml

@@ -2,9 +2,9 @@ name: nix-eval
 
 on:
   push:
-    branches: [dev]
+    branches: [dev, v2]
   pull_request:
-    branches: [dev]
+    branches: [dev, v2]
   workflow_dispatch:
 
 concurrency:

.github/workflows/test.yml

@@ -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:

bun.lock

@@ -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 +2167,17 @@
 
     "@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-musl": ["@opencode-ai/pty-linux-x64-musl@0.1.13", "", { "os": "linux", "cpu": "x64" }, "sha512-rXDpidW66gz2b2M/NbUN8ZKmAxaJcASnuHATeXevlrFdiPUv8uJwvkRd6Pla1fp01Q65MkBmgRa7Q9c+H1PlzA=="],
+    "@opencode-ai/pty-linux-x64-gnu": ["@opencode-ai/pty-linux-x64-gnu@0.2.0", "", { "os": "linux", "cpu": "x64" }, "sha512-GhdrmbUzxGHRfWvt1qutgVD4HLb7aSBsgWGjFsc6k8HjO5ZbdaC3ScRyd512YAAG5KAROLKZ6+0SEBsm5xFYlA=="],
 
     "@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 +3547,7 @@
 
     "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=="],
 

nix/desktop.nix

@@ -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";
@@ -66,7 +71,7 @@ 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 +79,7 @@ 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 +95,15 @@ 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 +151,13 @@ 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";

nix/electron.nix

@@ -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")

nix/hashes.json

@@ -1,7 +1,7 @@
 {
   "nodeModules": {
-    "x86_64-linux": "sha256-yCdtDQsXERjfL9bJg7YXNloMBOPwFkPMFVNAzXlarBM=",
-    "aarch64-linux": "sha256-iQ1bLIszETcFoD4CENpoaDZJZF/KBKZFeTp9r7ogJ9Y=",
-    "aarch64-darwin": "sha256-G7oIrTXEFQ5iEF8KSpA4xJPw9xwqRDpbIR472iIoqC4="
+    "x86_64-linux": "sha256-onbxt1PCyU4Nh14S5gIeLH20OtbQ7v2ipRq1zqZkLWs=",
+    "aarch64-linux": "sha256-P7DAE018lTJNGmttg87U9oaTAuw/wHlnMStdnXYKCr0=",
+    "aarch64-darwin": "sha256-N+NfV1ObOTnW+ez7As+CS+6ci/iRGCQ6cslvyQFCp6E="
   }
 }

nix/opencode.nix

@@ -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 = [

package.json

@@ -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",

packages/ai/README.md

@@ -1223,7 +1223,7 @@ 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:
 

packages/ai/package.json

@@ -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",

packages/ai/src/cache-policy.ts

@@ -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)

packages/ai/src/protocols/alibaba-chat.ts

@@ -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:

packages/ai/src/protocols/anthropic-messages.ts

@@ -451,6 +451,9 @@ const AnthropicStreamDelta = Schema.Struct({
   signature: Schema.optional(Schema.String),
   stop_reason: optionalNull(Schema.String),
   stop_sequence: optionalNull(Schema.String),
+  stop_details: optionalNull(
+    Schema.Struct({ category: optionalNull(Schema.String), explanation: optionalNull(Schema.String) }),
+  ),
 })
 type AnthropicStreamDelta = Schema.Schema.Type<typeof AnthropicStreamDelta>
 const decodeAnthropicStreamDelta = Schema.decodeUnknownOption(AnthropicStreamDelta)
@@ -804,15 +807,12 @@ const requireThinkingSignature = (request: LLMRequest) => {
 // Mid-conversation system messages became available with Opus 4.8 and version
 // 5 of the other supported Claude families. Treat later family versions as
 // compatible without assuming that every Anthropic Messages model is Claude.
+// Opus 4.8 and every Claude 5 model accept mid-conversation system messages; later versions inherit support.
 const supportsNativeSystemUpdates = (request: LLMRequest) => {
-  const match = /(?:^|[./])claude-(fable|haiku|mythos|opus|sonnet)-(\d+)(?:[.-](\d+))?/.exec(
-    String(request.model.id).toLowerCase(),
-  )
-  if (!match) return false
-  const major = Number(match[2])
-  if (match[1] !== "opus") return major >= 5
-  if (major !== 4) return major >= 5
-  return match[3] !== undefined && match[3].length <= 2 && Number(match[3]) >= 8
+  const version = claudeVersion(String(request.model.id))
+  if (version === undefined) return false
+  if (version.family === "opus" && version.major === 4) return version.minor >= 8
+  return version.major >= 5
 }
 
 const endsInServerToolUse = (message: LLMRequest["messages"][number]) => {
@@ -989,13 +989,13 @@ const lowerMessages = Effect.fn("AnthropicMessages.lowerMessages")(function* (
   return messages
 })
 
+// Per-turn effort started with Claude Opus 5 and every Claude 5.1 model; later versions of any family inherit it.
 const supportsEffortUpdates = (model: LLMRequest["model"]) => {
   const override = model.compatibility?.supportsEffortUpdates
   if (override !== undefined) return override
   const version = claudeVersion(model.id)
   if (version === undefined) return false
-  if (version.family === "opus") return version.major >= 5
-  if (version.family !== "fable" && version.family !== "mythos") return false
+  if (version.family === "opus" && version.major >= 5) return true
   return version.major > 5 || (version.major === 5 && version.minor >= 1)
 }
 
@@ -1417,10 +1417,14 @@ const onMessageDelta = (
       stopSequence === null || stopSequence === undefined
         ? state.pendingFinish?.providerMetadata
         : providerMetadata(state.providerMetadataKey, { stopSequence })
+    const category = event.delta?.stop_details?.category
+    const explanation = event.delta?.stop_details?.explanation
     return {
       reason: {
         normalized: mapFinishReason(stopReason),
         raw: stopReason,
+        ...(category ? { category } : {}),
+        ...(explanation ? { explanation } : {}),
       },
       providerMetadata: finishMetadata,
     }

packages/ai/src/protocols/bedrock-converse.ts

@@ -319,6 +319,9 @@ const lowerToolResult = Effect.fn("BedrockConverse.lowerToolResult")(function* (
   } satisfies BedrockToolResultBlock
 })
 
+// Keep Claude and Nova tool-result images inline; put other models' images beside the result.
+const keepToolImagesInline = (id: string) => id.includes("anthropic.claude-") || id.includes("amazon.nova-")
+
 const lowerMessages = Effect.fn("BedrockConverse.lowerMessages")(function* (
   request: LLMRequest,
   breakpoints: BedrockCache.Breakpoints,
@@ -328,8 +331,19 @@ const lowerMessages = Effect.fn("BedrockConverse.lowerMessages")(function* (
   // Mistral can reject replay IDs even when they satisfy Converse's broader ID syntax.
   const normalizeID = request.model.id.includes("mistral.") ? MistralToolID.normalizer(request) : (id: string) => id
   const providerMetadataKey = request.model.route.providerMetadataKey ?? String(request.model.provider)
+  const hoistImages = !keepToolImagesInline(request.model.id)
+  // Bedrock expects parallel tool results before any images hoisted beside them.
+  const pendingImages: BedrockMedia.ImageBlock[] = []
+  const flushImages = () => {
+    if (pendingImages.length === 0) return
+    const previous = messages.at(-1)
+    if (previous?.role === "user")
+      messages[messages.length - 1] = { role: "user", content: [...previous.content, ...pendingImages] }
+    pendingImages.length = 0
+  }
 
   for (const message of request.messages) {
+    if (message.role !== "tool") flushImages()
     if (message.role === "system") {
       const part = yield* ProviderShared.wrappedSystemUpdate("Bedrock Converse", message)
       const content = textWithCache(breakpoints, part.text, part.cache)
@@ -403,7 +417,22 @@ const lowerMessages = Effect.fn("BedrockConverse.lowerMessages")(function* (
     for (const part of message.content) {
       if (!ProviderShared.supportsContent(part, ["tool-result"]))
         return yield* ProviderShared.unsupportedContent("Bedrock Converse", "tool", ["tool-result"])
-      content.push(yield* lowerToolResult(part, documentNames, normalizeID))
+      const result = yield* lowerToolResult(part, documentNames, normalizeID)
+      const images: BedrockMedia.ImageBlock[] = hoistImages
+        ? result.toolResult.content.filter((item) => "image" in item)
+        : []
+      const nonImageContent = result.toolResult.content.filter((item) => !("image" in item))
+      content.push(
+        images.length === 0
+          ? result
+          : {
+              toolResult: {
+                ...result.toolResult,
+                content: nonImageContent.length > 0 ? nonImageContent : [{ text: "See attached image." }],
+              },
+            },
+      )
+      pendingImages.push(...images)
       const cachePoint = BedrockCache.block(breakpoints, part.cache)
       if (cachePoint) content.push(cachePoint)
     }
@@ -413,6 +442,7 @@ const lowerMessages = Effect.fn("BedrockConverse.lowerMessages")(function* (
     else messages.push({ role: "user", content })
   }
 
+  flushImages()
   return messages
 })
 

packages/ai/src/protocols/cohere-chat.ts

@@ -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"

packages/ai/src/protocols/gemini.ts

@@ -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
       ? [
           {

packages/ai/src/protocols/index.ts

@@ -1,5 +1,6 @@
 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 MistralChat from "./mistral-chat.js"
 export * as OpenAIChat from "./openai-chat.js"

packages/ai/src/protocols/mistral-chat.ts

@@ -68,7 +68,10 @@ const MistralAssistantToolCall = Schema.Struct({
 type MistralAssistantToolCall = Schema.Schema.Type<typeof MistralAssistantToolCall>
 
 const MistralMessage = Schema.Union([
-  Schema.Struct({ role: Schema.Literal("system"), content: Schema.String }),
+  Schema.Struct({
+    role: Schema.Literal("system"),
+    content: Schema.Union([Schema.String, Schema.Array(MistralTextContent)]),
+  }),
   Schema.Struct({
     role: Schema.Literal("user"),
     content: Schema.Union([Schema.String, Schema.Array(MistralUserContent)]),
@@ -335,7 +338,17 @@ const lowerToolResults = Effect.fn("MistralChat.lowerToolResults")(function* (
 const lowerMessages = Effect.fn("MistralChat.lowerMessages")(function* (request: LLMRequest) {
   const normalizeID = MistralToolID.normalizer(request)
   const messages: MistralMessage[] =
-    request.system.length === 0 ? [] : [{ role: "system", content: ProviderShared.joinText(request.system) }]
+    request.system.length === 0
+      ? []
+      : [
+          {
+            role: "system",
+            content:
+              request.system.length === 1
+                ? request.system[0].text
+                : request.system.map((part) => ({ type: "text", text: part.text })),
+          },
+        ]
   for (const message of request.messages) {
     if (message.role === "system") {
       const update = yield* ProviderShared.wrappedSystemUpdate("Mistral Chat", message)

packages/ai/src/protocols/openai-chat.ts

@@ -14,7 +14,6 @@ import {
   ProviderInternalError,
   UnknownProviderError,
   Usage,
-  type FinishReason,
   type FinishReasonDetails,
   type CacheHint,
   type LLMRequest,
@@ -46,12 +45,6 @@ const OpenAIChatCacheControl = Schema.Struct({
 })
 type OpenAIChatCacheControl = Schema.Schema.Type<typeof OpenAIChatCacheControl>
 
-const OpenAIChatFunction = Schema.Struct({
-  name: Schema.String,
-  description: Schema.String,
-  parameters: JsonObject,
-})
-
 const OpenAIChatTool = Schema.Struct({
   type: Schema.tag("function"),
   function: Schema.Struct({
@@ -212,9 +205,11 @@ const OpenAIChatUsage = Schema.StructWithRest(
     prompt_tokens: optionalNull(Schema.Number),
     completion_tokens: optionalNull(Schema.Number),
     total_tokens: optionalNull(Schema.Number),
-    // Zai reports cache hits as top-level `cached_tokens`; DeepSeek uses `prompt_cache_hit_tokens`.
+    // Provider-specific cache accounting fields.
     cached_tokens: optionalNull(Schema.Number),
     prompt_cache_hit_tokens: optionalNull(Schema.Number),
+    cache_read_input_tokens: optionalNull(Schema.Number),
+    cache_created_input_tokens: optionalNull(Schema.Number),
     prompt_tokens_details: optionalNull(
       Schema.StructWithRest(
         Schema.Struct({
@@ -903,16 +898,19 @@ const mapFinishReason = Effect.fn("OpenAIChat.mapFinishReason")(function* (event
 // satisfied on both sides.
 // Providers differ on cache-hit location: OpenAI uses
 // `prompt_tokens_details.cached_tokens`, DeepSeek uses
-// `prompt_cache_hit_tokens`, and Zai uses top-level `cached_tokens`.
+// `prompt_cache_hit_tokens`, Zai uses top-level `cached_tokens`, and
+// DigitalOcean uses top-level `cache_read_input_tokens` / `cache_created_input_tokens`.
 const mapUsage = (usage: OpenAIChatEvent["usage"], providerMetadataKey: string): Usage | undefined => {
   if (!usage) return undefined
   const input = usage.prompt_tokens ?? undefined
   const output = usage.completion_tokens ?? undefined
-  const cached = (usage.prompt_tokens_details?.cached_tokens ??
-    (usage as { prompt_cache_hit_tokens?: number | null }).prompt_cache_hit_tokens ??
-    (usage as { cached_tokens?: number | null }).cached_tokens ??
-    undefined) as number | undefined
-  const cacheWrite = usage.prompt_tokens_details?.cache_write_tokens ?? undefined
+  const cached =
+    usage.prompt_tokens_details?.cached_tokens ??
+    usage.prompt_cache_hit_tokens ??
+    usage.cached_tokens ??
+    usage.cache_read_input_tokens ??
+    undefined
+  const cacheWrite = usage.prompt_tokens_details?.cache_write_tokens ?? usage.cache_created_input_tokens ?? undefined
   const reasoning = usage.completion_tokens_details?.reasoning_tokens ?? undefined
   const nonCached = ProviderShared.subtractTokens(input, ProviderShared.sumTokens(cached, cacheWrite))
   return new Usage({

packages/ai/src/protocols/utils/cache.ts

@@ -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) }
+  }
+}

packages/ai/src/provider-error.ts

@@ -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)) &&

packages/ai/src/providers/cohere.ts

@@ -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"

packages/ai/src/providers/cohere/chat.ts

@@ -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)

packages/ai/src/providers/digitalocean.ts

@@ -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"

packages/ai/src/providers/google-vertex-messages.ts

@@ -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: {

packages/ai/src/providers/groq.ts

@@ -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,

packages/ai/src/providers/index.ts

@@ -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"

packages/ai/src/providers/openrouter.ts

@@ -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) =>

packages/ai/src/route/executor.ts

@@ -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",

packages/ai/src/route/transport/http.ts

@@ -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 }),

packages/ai/src/schema/events.ts

@@ -264,6 +264,10 @@ export type ToolError = Schema.Schema.Type<typeof ToolError>
 export const FinishReasonDetails = Schema.Struct({
   normalized: FinishReason,
   raw: Schema.optional(Schema.String),
+  /** The provider's policy area for a content-filter finish, such as `cyber`. */
+  category: Schema.optional(Schema.String),
+  /** The provider's human-readable reason for a content-filter finish. */
+  explanation: Schema.optional(Schema.String),
 }).annotate({ identifier: "LLM.FinishReasonDetails" })
 export type FinishReasonDetails = Schema.Schema.Type<typeof FinishReasonDetails>
 

packages/ai/src/schema/options.ts

@@ -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")({

packages/ai/test/auth-options.types.ts

@@ -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"
 

packages/ai/test/cache-policy.test.ts

@@ -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(

packages/ai/test/effort-updates.test.ts

@@ -197,9 +197,15 @@ describe("Anthropic Messages effort updates", () => {
     ["anthropic/claude-opus-5", true],
     ["claude-fable-5-1", true],
     ["claude-mythos-5-1", true],
+    ["claude-opus-5-5", true],
+    ["claude-sonnet-5-5", true],
+    ["anthropic/claude-sonnet-5-5", true],
+    ["claude-sonnet-6", true],
+    ["claude-haiku-6", true],
     ["claude-fable-5", false],
     ["claude-opus-4-8", false],
     ["claude-sonnet-5", false],
+    ["claude-sonnet-5-20260801", false],
     ["kimi-k2.5", false],
   ] as const) {
     it.effect(`${supported ? "lowers" : "strips"} markers for ${id}`, () =>

packages/ai/test/executor.test.ts

@@ -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

packages/ai/test/fixtures/recordings/alibaba-chat/qwen-3-7-plus-streams-thinking-disabled.json

@@ -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"
       }
     }
   ]

packages/ai/test/fixtures/recordings/alibaba-chat/qwen-3-7-plus-streams-thinking-enabled.json

@@ -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"
         },
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{\"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
       }
     }
   ]

packages/ai/test/fixtures/recordings/alibaba-chat/qwen-3-8-flash-reads-image-bytes.json

@@ -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"
         },
-        "body": "data: {\"model\":\"qwen3.8-flash\",\"id\":\"chatcmpl-2952c591-6e41-90ec-81ca-894b8e84f0aa\",\"created\":1788837054,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-flash\",\"id\":\"chatcmpl-2952c591-6e41-90ec-81ca-894b8e84f0aa\",\"choices\":[{\"delta\":{\"content\":\"j\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837054,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-flash\",\"id\":\"chatcmpl-2952c591-6e41-90ec-81ca-894b8e84f0aa\",\"choices\":[{\"delta\":{\"content\":\"iggling restroom prison\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837054,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-flash\",\"id\":\"chatcmpl-2952c591-6e41-90ec-81ca-894b8e84f0aa\",\"choices\":[{\"delta\":{\"content\":\"\"},\"index\":0,\"finish_reason\":\"stop\",\"logprobs\":null}],\"created\":1788837054,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"choices\":[],\"created\":1788837054,\"id\":\"chatcmpl-2952c591-6e41-90ec-81ca-894b8e84f0aa\",\"model\":\"qwen3.8-flash\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":6,\"completion_tokens_details\":{},\"prompt_tokens\":110,\"prompt_tokens_details\":{\"cached_tokens\":0,\"image_tokens\":82,\"text_tokens\":28},\"total_tokens\":116}}\n\ndata: [DONE]\n\n"
+        "body": "data: {\"model\":\"qwen3.8-flash\",\"id\":\"chatcmpl-69096b14-dda4-93fc-a838-0e7640f71dfa\",\"created\":1790904224,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-flash\",\"id\":\"chatcmpl-69096b14-dda4-93fc-a838-0e7640f71dfa\",\"choices\":[{\"delta\":{\"content\":\"j\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904224,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-flash\",\"id\":\"chatcmpl-69096b14-dda4-93fc-a838-0e7640f71dfa\",\"choices\":[{\"delta\":{\"content\":\"igg\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904224,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-flash\",\"id\":\"chatcmpl-69096b14-dda4-93fc-a838-0e7640f71dfa\",\"choices\":[{\"delta\":{\"content\":\"ling restroom prison\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904224,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-flash\",\"id\":\"chatcmpl-69096b14-dda4-93fc-a838-0e7640f71dfa\",\"choices\":[{\"delta\":{\"content\":\"\"},\"index\":0,\"finish_reason\":\"stop\",\"logprobs\":null}],\"created\":1790904224,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"choices\":[],\"created\":1790904224,\"id\":\"chatcmpl-69096b14-dda4-93fc-a838-0e7640f71dfa\",\"model\":\"qwen3.8-flash\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":6,\"completion_tokens_details\":{},\"prompt_tokens\":123,\"prompt_tokens_details\":{\"cached_tokens\":0,\"image_tokens\":82,\"text_tokens\":41},\"total_tokens\":129}}\n\ndata: [DONE]\n\n"
       }
     }
   ]

packages/ai/test/fixtures/recordings/alibaba-chat/qwen-3-8-max-obeys-named-tool-choice.json

@@ -10,7 +10,7 @@
       "tool-choice"
     ],
     "name": "alibaba-chat/qwen-3-8-max-obeys-named-tool-choice",
-    "recordedAt": "2026-09-08T03:10:56.576Z"
+    "recordedAt": "2026-10-02T01:23:46.235Z"
   },
   "interactions": [
     {
@@ -21,14 +21,14 @@
         "headers": {
           "content-type": "application/json"
         },
-        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":\"Find the current weather in Paris.\"}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get weather in a city\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"]}}}],\"tool_choice\":{\"type\":\"function\",\"function\":{\"name\":\"get_weather\"}},\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"none\",\"max_completion_tokens\":4096}"
+        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Find the current weather in Paris.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get weather in a city\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"]}}}],\"tool_choice\":{\"type\":\"function\",\"function\":{\"name\":\"get_weather\"}},\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"none\",\"max_completion_tokens\":4096}"
       },
       "response": {
         "status": 200,
         "headers": {
           "content-type": "text/event-stream;charset=utf-8"
         },
-        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-681dfa5a-ae08-98da-ba0d-4b1d0d364b6b\",\"created\":1788837055,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"id\":\"call_4eb823cb28d141c8befbb331\",\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"arguments\":\"\"}}]},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-681dfa5a-ae08-98da-ba0d-4b1d0d364b6b\",\"choices\":[{\"delta\":{\"content\":\"\",\"tool_calls\":[{\"index\":0,\"id\":\"\",\"type\":\"function\",\"function\":{\"arguments\":\"\"}}]},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837055,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-681dfa5a-ae08-98da-ba0d-4b1d0d364b6b\",\"choices\":[{\"delta\":{\"content\":\"\",\"tool_calls\":[{\"type\":\"function\",\"index\":0,\"function\":{\"arguments\":\"{\\\"city\\\": \\\"Paris\"}}]},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837055,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-681dfa5a-ae08-98da-ba0d-4b1d0d364b6b\",\"choices\":[{\"delta\":{\"content\":\"\",\"tool_calls\":[{\"type\":\"function\",\"index\":0,\"function\":{\"arguments\":\"\\\"\"}}]},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837055,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-681dfa5a-ae08-98da-ba0d-4b1d0d364b6b\",\"choices\":[{\"delta\":{\"content\":\"\",\"tool_calls\":[{\"type\":\"function\",\"index\":0,\"function\":{\"arguments\":\"}\"}}]},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837055,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-681dfa5a-ae08-98da-ba0d-4b1d0d364b6b\",\"choices\":[{\"delta\":{\"content\":\"\",\"tool_calls\":[{\"type\":\"function\",\"index\":0,\"function\":{\"arguments\":\"\"}}]},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837055,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-681dfa5a-ae08-98da-ba0d-4b1d0d364b6b\",\"choices\":[{\"delta\":{\"tool_calls\":[{\"function\":{\"arguments\":\"\"},\"index\":0,\"id\":null,\"type\":\"function\"}],\"content\":\"\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837055,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-681dfa5a-ae08-98da-ba0d-4b1d0d364b6b\",\"choices\":[{\"delta\":{},\"index\":0,\"finish_reason\":\"stop\",\"logprobs\":null}],\"created\":1788837055,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"choices\":[],\"created\":1788837055,\"id\":\"chatcmpl-681dfa5a-ae08-98da-ba0d-4b1d0d364b6b\",\"model\":\"qwen3.8-max\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":19,\"prompt_tokens\":288,\"prompt_tokens_details\":{\"cached_tokens\":0,\"text_tokens\":288},\"total_tokens\":307}}\n\ndata: [DONE]\n\n"
+        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-bf693c1a-0554-935b-ab28-cda0a18a27ff\",\"created\":1790904225,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"id\":\"call_3b220e76d7d946f498d026c0\",\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"arguments\":\"\"}}]},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-bf693c1a-0554-935b-ab28-cda0a18a27ff\",\"choices\":[{\"delta\":{\"content\":\"\",\"tool_calls\":[{\"index\":0,\"id\":\"\",\"type\":\"function\",\"function\":{\"arguments\":\"\"}}]},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904225,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-bf693c1a-0554-935b-ab28-cda0a18a27ff\",\"choices\":[{\"delta\":{\"content\":\"\",\"tool_calls\":[{\"type\":\"function\",\"index\":0,\"function\":{\"arguments\":\"{\\\"city\\\": \\\"Paris\"}}]},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904225,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-bf693c1a-0554-935b-ab28-cda0a18a27ff\",\"choices\":[{\"delta\":{\"content\":\"\",\"tool_calls\":[{\"type\":\"function\",\"index\":0,\"function\":{\"arguments\":\"\\\"\"}}]},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904225,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-bf693c1a-0554-935b-ab28-cda0a18a27ff\",\"choices\":[{\"delta\":{\"content\":\"\",\"tool_calls\":[{\"type\":\"function\",\"index\":0,\"function\":{\"arguments\":\"}\"}}]},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904225,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-bf693c1a-0554-935b-ab28-cda0a18a27ff\",\"choices\":[{\"delta\":{\"content\":\"\",\"tool_calls\":[{\"type\":\"function\",\"index\":0,\"function\":{\"arguments\":\"\"}}]},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904225,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-bf693c1a-0554-935b-ab28-cda0a18a27ff\",\"choices\":[{\"delta\":{\"tool_calls\":[{\"function\":{\"arguments\":\"\"},\"index\":0,\"id\":null,\"type\":\"function\"}],\"content\":\"\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904225,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-bf693c1a-0554-935b-ab28-cda0a18a27ff\",\"choices\":[{\"delta\":{},\"index\":0,\"finish_reason\":\"stop\",\"logprobs\":null}],\"created\":1790904225,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"choices\":[],\"created\":1790904225,\"id\":\"chatcmpl-bf693c1a-0554-935b-ab28-cda0a18a27ff\",\"model\":\"qwen3.8-max\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":19,\"prompt_tokens\":288,\"prompt_tokens_details\":{\"cache_creation\":{\"ephemeral_5m_input_tokens\":0},\"cache_creation_input_tokens\":0,\"cache_type\":\"ephemeral\",\"cache_write_tokens\":0,\"cached_tokens\":0,\"text_tokens\":288},\"total_tokens\":307}}\n\ndata: [DONE]\n\n"
       }
     }
   ]

packages/ai/test/fixtures/recordings/alibaba-chat/qwen-3-8-max-replays-reasoning-through-a-tool-loop-and-follow-up.json

@@ -12,7 +12,7 @@
       "continuation"
     ],
     "name": "alibaba-chat/qwen-3-8-max-replays-reasoning-through-a-tool-loop-and-follow-up",
-    "recordedAt": "2026-09-08T03:09:54.566Z"
+    "recordedAt": "2026-10-02T01:23:36.578Z"
   },
   "interactions": [
     {
@@ -23,14 +23,14 @@
         "headers": {
           "content-type": "application/json"
         },
-        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":\"We have a budget of 38000 dollars for 219 trips costing 173 dollars each. Calculate whether that is affordable. If it is, use get_weather to look up the current weather in Paris. After receiving the result, report the weather in one short sentence.\"}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false}}}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"medium\",\"tool_stream\":true,\"max_completion_tokens\":4096,\"preserve_thinking\":true}"
+        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"We have a budget of 38000 dollars for 219 trips costing 173 dollars each. Calculate whether that is affordable. If it is, use get_weather to look up the current weather in Paris. After receiving the result, report the weather in one short sentence.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false}}}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"medium\",\"tool_stream\":true,\"max_completion_tokens\":4096,\"preserve_thinking\":true}"
       },
       "response": {
         "status": 200,
         "headers": {
           "content-type": "text/event-stream;charset=utf-8"
         },
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+        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-ba39bdbc-1408-9be9-bc93-fea920370869\",\"created\":1790904215,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-ba39bdbc-1408-9be9-bc93-fea920370869\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"The\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904215,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-ba39bdbc-1408-9be9-bc93-fea920370869\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" tool reported\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904215,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-ba39bdbc-1408-9be9-bc93-fea920370869\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" 18°C\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904215,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-ba39bdbc-1408-9be9-bc93-fea920370869\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\".\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904215,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-ba39bdbc-1408-9be9-bc93-fea920370869\",\"choices\":[{\"delta\":{\"content\":\"18°C\",\"reasoning_content\":\"\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904215,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-ba39bdbc-1408-9be9-bc93-fea920370869\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"\"},\"index\":0,\"finish_reason\":\"stop\",\"logprobs\":null}],\"created\":1790904215,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"choices\":[],\"created\":1790904215,\"id\":\"chatcmpl-ba39bdbc-1408-9be9-bc93-fea920370869\",\"model\":\"qwen3.8-max\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":14,\"completion_tokens_details\":{\"reasoning_tokens\":8,\"text_tokens\":14},\"prompt_tokens\":587,\"prompt_tokens_details\":{\"cache_creation\":{\"ephemeral_5m_input_tokens\":0},\"cache_creation_input_tokens\":0,\"cache_type\":\"ephemeral\",\"cache_write_tokens\":0,\"cached_tokens\":0,\"text_tokens\":587},\"total_tokens\":601}}\n\ndata: [DONE]\n\n"
       }
     }
   ]

packages/ai/test/fixtures/recordings/alibaba-chat/qwen-3-8-max-returns-a-json-object.json

@@ -9,7 +9,7 @@
       "structured-output"
     ],
     "name": "alibaba-chat/qwen-3-8-max-returns-a-json-object",
-    "recordedAt": "2026-09-08T03:11:29.462Z"
+    "recordedAt": "2026-10-02T01:23:47.415Z"
   },
   "interactions": [
     {
@@ -20,14 +20,14 @@
         "headers": {
           "content-type": "application/json"
         },
-        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":\"Return a JSON object with one key \\\"city\\\" set to the capital city of France.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"none\",\"max_completion_tokens\":1024,\"response_format\":{\"type\":\"json_object\"}}"
+        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Return a JSON object with one key \\\"city\\\" set to the capital city of France.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"none\",\"max_completion_tokens\":1024,\"response_format\":{\"type\":\"json_object\"}}"
       },
       "response": {
         "status": 200,
         "headers": {
           "content-type": "text/event-stream;charset=utf-8"
         },
-        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-de34af77-7b1e-9999-a48f-e564c03d4b6b\",\"created\":1788837088,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-de34af77-7b1e-9999-a48f-e564c03d4b6b\",\"choices\":[{\"delta\":{\"content\":\"{\\\"\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837088,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-de34af77-7b1e-9999-a48f-e564c03d4b6b\",\"choices\":[{\"delta\":{\"content\":\"city\\\":\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837088,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-de34af77-7b1e-9999-a48f-e564c03d4b6b\",\"choices\":[{\"delta\":{\"content\":\" \\\"Paris\\\"}\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837088,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-de34af77-7b1e-9999-a48f-e564c03d4b6b\",\"choices\":[{\"delta\":{\"content\":\"\"},\"index\":0,\"finish_reason\":\"stop\",\"logprobs\":null}],\"created\":1788837088,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"choices\":[],\"created\":1788837088,\"id\":\"chatcmpl-de34af77-7b1e-9999-a48f-e564c03d4b6b\",\"model\":\"qwen3.8-max\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":6,\"prompt_tokens\":32,\"prompt_tokens_details\":{\"cached_tokens\":0,\"text_tokens\":32},\"total_tokens\":38}}\n\ndata: [DONE]\n\n"
+        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-8a907cb0-1885-92de-bde7-b81cdc64a55b\",\"created\":1790904226,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-8a907cb0-1885-92de-bde7-b81cdc64a55b\",\"choices\":[{\"delta\":{\"content\":\"{\\\"\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904226,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-8a907cb0-1885-92de-bde7-b81cdc64a55b\",\"choices\":[{\"delta\":{\"content\":\"city\\\":\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904226,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-8a907cb0-1885-92de-bde7-b81cdc64a55b\",\"choices\":[{\"delta\":{\"content\":\" \\\"Paris\\\"}\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904226,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-8a907cb0-1885-92de-bde7-b81cdc64a55b\",\"choices\":[{\"delta\":{\"content\":\"\"},\"index\":0,\"finish_reason\":\"stop\",\"logprobs\":null}],\"created\":1790904226,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"choices\":[],\"created\":1790904226,\"id\":\"chatcmpl-8a907cb0-1885-92de-bde7-b81cdc64a55b\",\"model\":\"qwen3.8-max\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":6,\"prompt_tokens\":32,\"prompt_tokens_details\":{\"cache_creation\":{\"ephemeral_5m_input_tokens\":0},\"cache_creation_input_tokens\":0,\"cache_type\":\"ephemeral\",\"cache_write_tokens\":0,\"cached_tokens\":0,\"text_tokens\":32},\"total_tokens\":38}}\n\ndata: [DONE]\n\n"
       }
     }
   ]

packages/ai/test/fixtures/recordings/alibaba-chat/qwen-3-8-max-streams-default-effort.json

@@ -11,7 +11,7 @@
       "usage"
     ],
     "name": "alibaba-chat/qwen-3-8-max-streams-default-effort",
-    "recordedAt": "2026-09-08T03:08:03.087Z"
+    "recordedAt": "2026-10-02T01:23:08.402Z"
   },
   "interactions": [
     {
@@ -22,14 +22,14 @@
         "headers": {
           "content-type": "application/json"
         },
-        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_completion_tokens\":4096}"
+        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_completion_tokens\":4096}"
       },
       "response": {
         "status": 200,
         "headers": {
           "content-type": "text/event-stream;charset=utf-8"
         },
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       }
     }
   ]

packages/ai/test/fixtures/recordings/alibaba-chat/qwen-3-8-max-streams-high-effort.json

@@ -11,7 +11,7 @@
       "usage"
     ],
     "name": "alibaba-chat/qwen-3-8-max-streams-high-effort",
-    "recordedAt": "2026-09-08T03:09:41.038Z"
+    "recordedAt": "2026-10-02T01:23:22.666Z"
   },
   "interactions": [
     {
@@ -22,14 +22,14 @@
         "headers": {
           "content-type": "application/json"
         },
-        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"high\",\"max_completion_tokens\":4096}"
+        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"high\",\"max_completion_tokens\":4096}"
       },
       "response": {
         "status": 200,
         "headers": {
           "content-type": "text/event-stream;charset=utf-8"
         },
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+        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5161785a-7f2c-9148-a072-f86ebb6b4b58\",\"created\":1790904200,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5161785a-7f2c-9148-a072-f86ebb6b4b58\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"We\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904200,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5161785a-7f2c-9148-a072-f86ebb6b4b58\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" need answer user\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904200,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: 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{\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5161785a-7f2c-9148-a072-f86ebb6b4b58\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" only.\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904200,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5161785a-7f2c-9148-a072-f86ebb6b4b58\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" Need compute 1\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904200,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5161785a-7f2c-9148-a072-f86ebb6b4b58\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"73*2\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904200,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: 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{\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5161785a-7f2c-9148-a072-f86ebb6b4b58\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"3287\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904200,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5161785a-7f2c-9148-a072-f86ebb6b4b58\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoninLine truncated
       }
     }
   ]

packages/ai/test/fixtures/recordings/alibaba-chat/qwen-3-8-max-streams-low-effort.json

@@ -11,7 +11,7 @@
       "usage"
     ],
     "name": "alibaba-chat/qwen-3-8-max-streams-low-effort",
-    "recordedAt": "2026-09-08T03:09:34.363Z"
+    "recordedAt": "2026-10-02T01:23:16.772Z"
   },
   "interactions": [
     {
@@ -22,14 +22,14 @@
         "headers": {
           "content-type": "application/json"
         },
-        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"low\",\"max_completion_tokens\":4096}"
+        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"low\",\"max_completion_tokens\":4096}"
       },
       "response": {
         "status": 200,
         "headers": {
           "content-type": "text/event-stream;charset=utf-8"
         },
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{\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-917106a3-dfdd-9124-82dc-900de2edcf25\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"73 × \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836971,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-917106a3-dfdd-9124-82dc-900de2edcf25\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"219.\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836971,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-917106a3-dfdd-9124-82dc-900de2edcf25\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"\\n\\n173\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836971,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: 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{\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-917106a3-dfdd-9124-82dc-900de2edcf25\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"200 +\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836971,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-917106a3-dfdd-9124-82dc-900de2edcf25\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" 19)\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836971,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-917106a3-dfdd-9124-82dc-900de2edcf25\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"\\n= 1\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836971,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-917106a3-dfdd-9124-82dc-900de2edcf25\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"73 × \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836971,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-917106a3-dfdd-9124-82dc-900de2edcf25\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"200 +\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836971,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-917106a3-dfdd-9124-82dc-900de2edcf25\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" 173\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836971,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-917106a3-dfdd-9124-82dc-900de2edcf25\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" × 19\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836971,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-917106a3-dfdd-9124-82dc-900de2edcf25\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"\\n= 3\"Line truncated
+        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c369af93-ee05-9a82-a19b-6ff6348dbb7d\",\"created\":1790904193,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c369af93-ee05-9a82-a19b-6ff6348dbb7d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"Let\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904193,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c369af93-ee05-9a82-a19b-6ff6348dbb7d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" me calculate 1\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904193,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c369af93-ee05-9a82-a19b-6ff6348dbb7d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"73 × \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904193,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c369af93-ee05-9a82-a19b-6ff6348dbb7d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"219.\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904193,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c369af93-ee05-9a82-a19b-6ff6348dbb7d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"\\n\\n173\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904193,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c369af93-ee05-9a82-a19b-6ff6348dbb7d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" × 21\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904193,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c369af93-ee05-9a82-a19b-6ff6348dbb7d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"9 = 1\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904193,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c369af93-ee05-9a82-a19b-6ff6348dbb7d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"73 × (\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904193,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c369af93-ee05-9a82-a19b-6ff6348dbb7d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"200 +\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904193,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c369af93-ee05-9a82-a19b-6ff6348dbb7d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" 19)\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904193,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c369af93-ee05-9a82-a19b-6ff6348dbb7d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"\\n= 1\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904193,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c369af93-ee05-9a82-a19b-6ff6348dbb7d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"73 × \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904193,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c369af93-ee05-9a82-a19b-6ff6348dbb7d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"200 +\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904193,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c369af93-ee05-9a82-a19b-6ff6348dbb7d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" 173\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904193,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c369af93-ee05-9a82-a19b-6ff6348dbb7d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" × 19\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904193,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c369af93-ee05-9a82-a19b-6ff6348dbb7d\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"\\n= 3\"Line truncated
       }
     }
   ]

packages/ai/test/fixtures/recordings/alibaba-chat/qwen-3-8-max-streams-max-effort.json

@@ -11,7 +11,7 @@
       "usage"
     ],
     "name": "alibaba-chat/qwen-3-8-max-streams-max-effort",
-    "recordedAt": "2026-09-08T03:09:49.033Z"
+    "recordedAt": "2026-10-02T01:23:30.455Z"
   },
   "interactions": [
     {
@@ -22,14 +22,14 @@
         "headers": {
           "content-type": "application/json"
         },
-        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"max\",\"max_completion_tokens\":4096}"
+        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"max\",\"max_completion_tokens\":4096}"
       },
       "response": {
         "status": 200,
         "headers": {
           "content-type": "text/event-stream;charset=utf-8"
         },
-        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5202c901-3c72-9b43-8a9f-3db17d85a1cb\",\"created\":1788836985,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5202c901-3c72-9b43-8a9f-3db17d85a1cb\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"We\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836985,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5202c901-3c72-9b43-8a9f-3db17d85a1cb\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" need answer user's\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836985,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5202c901-3c72-9b43-8a9f-3db17d85a1cb\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" simple arithmetic\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836985,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5202c901-3c72-9b43-8a9f-3db17d85a1cb\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\": 17\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836985,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5202c901-3c72-9b43-8a9f-3db17d85a1cb\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"3 * 2\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836985,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5202c901-3c72-9b43-8a9f-3db17d85a1cb\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"19\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836985,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5202c901-3c72-9b43-8a9f-3db17d85a1cb\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\". Need final only\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836985,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5202c901-3c72-9b43-8a9f-3db17d85a1cb\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" integer. Compute:\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836985,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5202c901-3c72-9b43-8a9f-3db17d85a1cb\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" 173\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836985,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5202c901-3c72-9b43-8a9f-3db17d85a1cb\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"*200\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836985,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5202c901-3c72-9b43-8a9f-3db17d85a1cb\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"=346\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836985,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5202c901-3c72-9b43-8a9f-3db17d85a1cb\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"00;\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836985,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5202c901-3c72-9b43-8a9f-3db17d85a1cb\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" 173\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836985,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5202c901-3c72-9b43-8a9f-3db17d85a1cb\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"*19=\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836985,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5202c901-3c72-9b43-8a9f-3db17d85a1cb\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"3287\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836985,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-5202c901-3c72-9b43-8a9f-3db17d85a1cb\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoningLine truncated
+        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-03edb52e-dc72-9acc-980c-3f783db5a23e\",\"created\":1790904206,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-03edb52e-dc72-9acc-980c-3f783db5a23e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"We\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904206,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-03edb52e-dc72-9acc-980c-3f783db5a23e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" need answer user\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904206,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-03edb52e-dc72-9acc-980c-3f783db5a23e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\":\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904206,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-03edb52e-dc72-9acc-980c-3f783db5a23e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" \\\"What is \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904206,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-03edb52e-dc72-9acc-980c-3f783db5a23e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"173 multiplied\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904206,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-03edb52e-dc72-9acc-980c-3f783db5a23e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" by 21\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904206,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-03edb52e-dc72-9acc-980c-3f783db5a23e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"9? Reply with\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904206,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-03edb52e-dc72-9acc-980c-3f783db5a23e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" only the final integer\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904206,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-03edb52e-dc72-9acc-980c-3f783db5a23e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\".\\\" Need compute.\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904206,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-03edb52e-dc72-9acc-980c-3f783db5a23e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" 173\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904206,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-03edb52e-dc72-9acc-980c-3f783db5a23e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"*219\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904206,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-03edb52e-dc72-9acc-980c-3f783db5a23e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" = 17\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904206,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-03edb52e-dc72-9acc-980c-3f783db5a23e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"3*(20\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904206,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-03edb52e-dc72-9acc-980c-3f783db5a23e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"0+19\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904206,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-03edb52e-dc72-9acc-980c-3f783db5a23e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\")=346\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904206,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-03edb52e-dc72-9acc-980c-3f783db5a23e\",\"choices\":[{\"delta\":{\"conLine truncated
       }
     }
   ]

packages/ai/test/fixtures/recordings/alibaba-chat/qwen-3-8-max-streams-medium-effort.json

@@ -11,7 +11,7 @@
       "usage"
     ],
     "name": "alibaba-chat/qwen-3-8-max-streams-medium-effort",
-    "recordedAt": "2026-09-08T03:09:38.233Z"
+    "recordedAt": "2026-10-02T01:23:20.103Z"
   },
   "interactions": [
     {
@@ -22,14 +22,14 @@
         "headers": {
           "content-type": "application/json"
         },
-        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"medium\",\"max_completion_tokens\":4096}"
+        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"medium\",\"max_completion_tokens\":4096}"
       },
       "response": {
         "status": 200,
         "headers": {
           "content-type": "text/event-stream;charset=utf-8"
         },
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{\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-a42ce2bc-4c60-9079-9b86-31ce3737204c\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" calculate 17\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836974,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-a42ce2bc-4c60-9079-9b86-31ce3737204c\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"3 × 2\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836974,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-a42ce2bc-4c60-9079-9b86-31ce3737204c\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"19 and reply\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836974,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: 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{\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-a42ce2bc-4c60-9079-9b86-31ce3737204c\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"219:\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836974,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-a42ce2bc-4c60-9079-9b86-31ce3737204c\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"\\n173\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836974,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-a42ce2bc-4c60-9079-9b86-31ce3737204c\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" × 20\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836974,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-a42ce2bc-4c60-9079-9b86-31ce3737204c\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"0 = 3\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836974,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-a42ce2bc-4c60-9079-9b86-31ce3737204c\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"4,60\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836974,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-a42ce2bc-4c60-9079-9b86-31ce3737204c\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"0\\n17\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836974,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-a42ce2bc-4c60-9079-9b86-31ce3737204c\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"3 × 1\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836974,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-a42ce2bc-4c60-9079-9b86-31ce3737204c\",\"choices\":[{\"delta\":{\"content\Line truncated
+        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-231b166c-7ab2-9476-af1c-edce81920373\",\"created\":1790904197,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-231b166c-7ab2-9476-af1c-edce81920373\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"The\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904197,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-231b166c-7ab2-9476-af1c-edce81920373\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" user wants me to\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904197,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: 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{\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-231b166c-7ab2-9476-af1c-edce81920373\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" with only the final\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904197,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-231b166c-7ab2-9476-af1c-edce81920373\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" integer.\\n\\n1\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904197,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-231b166c-7ab2-9476-af1c-edce81920373\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"73 × \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904197,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-231b166c-7ab2-9476-af1c-edce81920373\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"219:\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904197,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-231b166c-7ab2-9476-af1c-edce81920373\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"\\n173\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904197,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-231b166c-7ab2-9476-af1c-edce81920373\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" × 20\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904197,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-231b166c-7ab2-9476-af1c-edce81920373\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"0 = 3\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904197,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-231b166c-7ab2-9476-af1c-edce81920373\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"4,60\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904197,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-231b166c-7ab2-9476-af1c-edce81920373\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"0\\n17\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904197,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-231b166c-7ab2-9476-af1c-edce81920373\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"3 × 1\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904197,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-231b166c-7ab2-9476-af1c-edce81920373\",\"choices\":[{\"delta\":{\"content\Line truncated
       }
     }
   ]

packages/ai/test/fixtures/recordings/alibaba-chat/qwen-3-8-max-streams-minimal-effort.json

@@ -11,7 +11,7 @@
       "usage"
     ],
     "name": "alibaba-chat/qwen-3-8-max-streams-minimal-effort",
-    "recordedAt": "2026-09-08T03:09:31.692Z"
+    "recordedAt": "2026-10-02T01:23:12.765Z"
   },
   "interactions": [
     {
@@ -22,14 +22,14 @@
         "headers": {
           "content-type": "application/json"
         },
-        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"minimal\",\"max_completion_tokens\":4096}"
+        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"minimal\",\"max_completion_tokens\":4096}"
       },
       "response": {
         "status": 200,
         "headers": {
           "content-type": "text/event-stream;charset=utf-8"
         },
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\"},\Line truncated
       }
     }
   ]

packages/ai/test/fixtures/recordings/alibaba-chat/qwen-3-8-max-streams-none-effort.json

@@ -11,7 +11,7 @@
       "usage"
     ],
     "name": "alibaba-chat/qwen-3-8-max-streams-none-effort",
-    "recordedAt": "2026-09-08T03:09:27.584Z"
+    "recordedAt": "2026-10-02T01:23:09.451Z"
   },
   "interactions": [
     {
@@ -22,14 +22,14 @@
         "headers": {
           "content-type": "application/json"
         },
-        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"none\",\"max_completion_tokens\":4096}"
+        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"none\",\"max_completion_tokens\":4096}"
       },
       "response": {
         "status": 200,
         "headers": {
           "content-type": "text/event-stream;charset=utf-8"
         },
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       }
     }
   ]

packages/ai/test/fixtures/recordings/alibaba-chat/qwen-3-8-max-streams-xhigh-effort.json

@@ -11,7 +11,7 @@
       "usage"
     ],
     "name": "alibaba-chat/qwen-3-8-max-streams-xhigh-effort",
-    "recordedAt": "2026-09-08T03:09:45.046Z"
+    "recordedAt": "2026-10-02T01:23:26.218Z"
   },
   "interactions": [
     {
@@ -22,14 +22,14 @@
         "headers": {
           "content-type": "application/json"
         },
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+        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"xhigh\",\"max_completion_tokens\":4096}"
       },
       "response": {
         "status": 200,
         "headers": {
           "content-type": "text/event-stream;charset=utf-8"
         },
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packages/ai/test/fixtures/recordings/cohere/continues-a-native-tool-call.json

@@ -0,0 +1,49 @@
+{
+  "version": 1,
+  "metadata": {
+    "tags": [
+      "prefix:cohere",
+      "provider:cohere"
+    ],
+    "name": "cohere/continues-a-native-tool-call",
+    "recordedAt": "2026-10-03T04:09:51.600Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://api.cohere.com/v2/chat",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"command-a-plus-05-2026\",\"messages\":[{\"role\":\"system\",\"content\":[{\"type\":\"text\",\"text\":\"Use the get_weather tool exactly once.\"},{\"type\":\"text\",\"text\":\"After the tool result, reply exactly: Paris is sunny.\"}]},{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is the weather in Paris?\"}]}],\"stream\":true,\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}}],\"max_tokens\":2048}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
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+      }
+    },
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://api.cohere.com/v2/chat",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"command-a-plus-05-2026\",\"messages\":[{\"role\":\"system\",\"content\":[{\"type\":\"text\",\"text\":\"Use the get_weather tool exactly once.\"},{\"type\":\"text\",\"text\":\"After the tool result, reply exactly: Paris is sunny.\"}]},{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is the weather in Paris?\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"The user is asking for the weather in Paris. I have a get_weather function available that takes a city parameter. The user specifically mentioned \\\"Paris\\\" as the city. I need to use the get_weather tool exactly once as per the policies, and I have all the required parameters (city = \\\"Paris\\\").\\n\\nLet me call the function with the city parameter set to \\\"Paris\\\".\"}],\"tool_calls\":[{\"id\":\"get_weather_vfp5ryredwrg\",\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"arguments\":\"{\\\"city\\\":\\\"Paris\\\"}\"}}]},{\"role\":\"tool\",\"content\":\"{\\\"temperature\\\":22,\\\"condition\\\":\\\"sunny\\\"}\",\"tool_call_id\":\"get_weather_vfp5ryredwrg\"}],\"stream\":true,\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}}],\"max_tokens\":2048}"
+      },
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+      }
+    }
+  ]
+}

packages/ai/test/fixtures/recordings/cohere/streams-compatible-chat-reasoning.json

@@ -0,0 +1,31 @@
+{
+  "version": 1,
+  "metadata": {
+    "tags": [
+      "prefix:cohere",
+      "provider:cohere"
+    ],
+    "name": "cohere/streams-compatible-chat-reasoning",
+    "recordedAt": "2026-10-02T02:39:47.406Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://api.cohere.ai/compatibility/v1/chat/completions",
+        "headers": {
+          "content-type": "application/json"
+        },
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+      },
+      "response": {
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+      }
+    }
+  ]
+}

packages/ai/test/fixtures/recordings/cohere/streams-native-text-and-usage.json

@@ -0,0 +1,31 @@
+{
+  "version": 1,
+  "metadata": {
+    "tags": [
+      "prefix:cohere",
+      "provider:cohere"
+    ],
+    "name": "cohere/streams-native-text-and-usage",
+    "recordedAt": "2026-10-02T02:36:12.967Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://api.cohere.com/v2/chat",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"command-a-03-2025\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Reply exactly: OK\"}]}],\"stream\":true,\"max_tokens\":64}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "event: message-start\ndata: {\"id\":\"a171b3a5-db11-4445-a645-5221fb466ab8\",\"type\":\"message-start\",\"delta\":{\"message\":{\"role\":\"assistant\",\"content\":[],\"tool_plan\":\"\",\"tool_calls\":[],\"citations\":[]}}}\n\nevent: content-start\ndata: {\"type\":\"content-start\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"type\":\"text\",\"text\":\"\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"text\":\"OK\"}}}}\n\nevent: content-end\ndata: {\"type\":\"content-end\",\"index\":0}\n\nevent: message-end\ndata: {\"type\":\"message-end\",\"delta\":{\"finish_reason\":\"COMPLETE\",\"usage\":{\"billed_units\":{\"input_tokens\":4,\"output_tokens\":1},\"tokens\":{\"input_tokens\":499,\"output_tokens\":4},\"cached_tokens\":464}}}\n\ndata: [DONE]\n\n"
+      }
+    }
+  ]
+}

packages/ai/test/fixtures/recordings/cohere/streams-native-thinking-with-a-budget.json

@@ -0,0 +1,31 @@
+{
+  "version": 1,
+  "metadata": {
+    "tags": [
+      "prefix:cohere",
+      "provider:cohere"
+    ],
+    "name": "cohere/streams-native-thinking-with-a-budget",
+    "recordedAt": "2026-10-02T02:36:14.669Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://api.cohere.com/v2/chat",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"command-a-reasoning-08-2025\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 17 times 23? Answer briefly.\"}]}],\"stream\":true,\"thinking\":{\"type\":\"enabled\",\"token_budget\":128},\"max_tokens\":2048}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "event: message-start\ndata: {\"id\":\"305edbbe-9f86-4bc0-9490-7766b168a453\",\"type\":\"message-start\",\"delta\":{\"message\":{\"role\":\"assistant\",\"content\":[],\"tool_plan\":\"\",\"tool_calls\":[],\"citations\":[]}}}\n\nevent: content-start\ndata: {\"type\":\"content-start\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"type\":\"thinking\",\"thinking\":\"\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\"Okay\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\",\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" let\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\"'s\"}}}}\n\nevent: content-delta\ndata: 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+      }
+    }
+  ]
+}

packages/ai/test/fixtures/recordings/digitalocean-chat/gpt-nano-continues-a-tool-call-with-cache-markers.json

@@ -0,0 +1,54 @@
+{
+  "version": 1,
+  "metadata": {
+    "model": "openai-gpt-5-nano",
+    "tags": [
+      "prefix:digitalocean-chat",
+      "provider:digitalocean",
+      "protocol:digitalocean-chat",
+      "cache",
+      "tool",
+      "tool-loop"
+    ],
+    "name": "digitalocean-chat/gpt-nano-continues-a-tool-call-with-cache-markers",
+    "recordedAt": "2026-10-01T07:36:41.717Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://inference.do-ai.run/v1/chat/completions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"openai-gpt-5-nano\",\"messages\":[{\"role\":\"system\",\"content\":[{\"type\":\"text\",\"text\":\"Use the get_weather tool exactly once. After the tool result, reply exactly: Paris is sunny.\",\"cache_control\":{\"type\":\"ephemeral\"}}]},{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is the weather in Paris?\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false},\"strict\":false},\"cache_control\":{\"type\":\"ephemeral\"}}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"store\":false,\"reasoning_effort\":\"minimal\",\"max_completion_tokens\":1024}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "data: {\"choices\":[{\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840200,\"id\":\"chatcmpl-EU5dIREwFebLDdrnmX7ftaDIK4qrZ\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"tool_calls\":[{\"function\":{\"arguments\":\"\",\"name\":\"get_weather\"},\"id\":\"call_zPwN7xhG4uXQINkufgtjVJ7L\",\"index\":0,\"type\":\"function\"}]},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840200,\"id\":\"chatcmpl-EU5dIREwFebLDdrnmX7ftaDIK4qrZ\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"tool_calls\":[{\"function\":{\"arguments\":\"{\\\"\"},\"index\":0,\"type\":\"function\"}]},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840200,\"id\":\"chatcmpl-EU5dIREwFebLDdrnmX7ftaDIK4qrZ\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"tool_calls\":[{\"function\":{\"arguments\":\"city\"},\"index\":0,\"type\":\"function\"}]},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840200,\"id\":\"chatcmpl-EU5dIREwFebLDdrnmX7ftaDIK4qrZ\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"tool_calls\":[{\"function\":{\"arguments\":\"\\\":\\\"\"},\"index\":0,\"type\":\"function\"}]},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840200,\"id\":\"chatcmpl-EU5dIREwFebLDdrnmX7ftaDIK4qrZ\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"tool_calls\":[{\"function\":{\"arguments\":\"Paris\"},\"index\":0,\"type\":\"function\"}]},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840200,\"id\":\"chatcmpl-EU5dIREwFebLDdrnmX7ftaDIK4qrZ\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"tool_calls\":[{\"function\":{\"arguments\":\"\\\"}\"},\"index\":0,\"type\":\"function\"}]},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840200,\"id\":\"chatcmpl-EU5dIREwFebLDdrnmX7ftaDIK4qrZ\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{},\"finish_reason\":\"tool_calls\",\"index\":0,\"logprobs\":null}],\"created\":1790840200,\"id\":\"chatcmpl-EU5dIREwFebLDdrnmX7ftaDIK4qrZ\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[],\"created\":1790840200,\"id\":\"chatcmpl-EU5dIREwFebLDdrnmX7ftaDIK4qrZ\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\",\"usage\":{\"cache_created_input_tokens\":0,\"cache_creation\":{\"ephemeral_1h_input_tokens\":0,\"ephemeral_5m_input_tokens\":0},\"cache_read_input_tokens\":0,\"completion_tokens\":23,\"completion_tokens_details\":{\"reasoning_tokens\":0},\"prompt_tokens\":155,\"prompt_tokens_details\":{\"cached_tokens\":0},\"speed\":null,\"total_tokens\":178}}\n\ndata: [DONE]\n\n"
+      }
+    },
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://inference.do-ai.run/v1/chat/completions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"openai-gpt-5-nano\",\"messages\":[{\"role\":\"system\",\"content\":[{\"type\":\"text\",\"text\":\"Use the get_weather tool exactly once. After the tool result, reply exactly: Paris is sunny.\",\"cache_control\":{\"type\":\"ephemeral\"}}]},{\"role\":\"user\",\"content\":\"What is the weather in Paris?\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_zPwN7xhG4uXQINkufgtjVJ7L\",\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"arguments\":\"{\\\"city\\\":\\\"Paris\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_zPwN7xhG4uXQINkufgtjVJ7L\",\"content\":[{\"type\":\"text\",\"text\":\"{\\\"temperature\\\":22,\\\"condition\\\":\\\"sunny\\\"}\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false},\"strict\":false},\"cache_control\":{\"type\":\"ephemeral\"}}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"store\":false,\"reasoning_effort\":\"minimal\",\"max_completion_tokens\":1024}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "data: {\"choices\":[{\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840201,\"id\":\"chatcmpl-EU5dJprTkE7OHEKnmvot7rR0LSo5L\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"content\":\"Paris\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840201,\"id\":\"chatcmpl-EU5dJprTkE7OHEKnmvot7rR0LSo5L\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"content\":\" is\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840201,\"id\":\"chatcmpl-EU5dJprTkE7OHEKnmvot7rR0LSo5L\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"content\":\" sunny\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840201,\"id\":\"chatcmpl-EU5dJprTkE7OHEKnmvot7rR0LSo5L\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"content\":\".\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840201,\"id\":\"chatcmpl-EU5dJprTkE7OHEKnmvot7rR0LSo5L\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{},\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null}],\"created\":1790840201,\"id\":\"chatcmpl-EU5dJprTkE7OHEKnmvot7rR0LSo5L\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[],\"created\":1790840201,\"id\":\"chatcmpl-EU5dJprTkE7OHEKnmvot7rR0LSo5L\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\",\"usage\":{\"cache_created_input_tokens\":0,\"cache_creation\":{\"ephemeral_1h_input_tokens\":0,\"ephemeral_5m_input_tokens\":0},\"cache_read_input_tokens\":0,\"completion_tokens\":13,\"completion_tokens_details\":{\"reasoning_tokens\":0},\"prompt_tokens\":193,\"prompt_tokens_details\":{\"cached_tokens\":0},\"speed\":null,\"total_tokens\":206}}\n\ndata: [DONE]\n\n"
+      }
+    }
+  ]
+}

packages/ai/test/fixtures/recordings/digitalocean-chat/gpt-nano-reuses-a-cached-prompt.json

@@ -0,0 +1,53 @@
+{
+  "version": 1,
+  "metadata": {
+    "model": "openai-gpt-5-nano",
+    "tags": [
+      "prefix:digitalocean-chat",
+      "provider:digitalocean",
+      "protocol:digitalocean-chat",
+      "cache",
+      "usage"
+    ],
+    "name": "digitalocean-chat/gpt-nano-reuses-a-cached-prompt",
+    "recordedAt": "2026-10-01T07:36:40.074Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://inference.do-ai.run/v1/chat/completions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"openai-gpt-5-nano\",\"messages\":[{\"role\":\"system\",\"content\":[{\"type\":\"text\",\"text\":\"You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid fillLine truncated
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "data: {\"choices\":[{\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840199,\"id\":\"chatcmpl-EU5dHjjHh6g7s4uSL7kMOOpLEXVki\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"content\":\"OK\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840199,\"id\":\"chatcmpl-EU5dHjjHh6g7s4uSL7kMOOpLEXVki\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{},\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null}],\"created\":1790840199,\"id\":\"chatcmpl-EU5dHjjHh6g7s4uSL7kMOOpLEXVki\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[],\"created\":1790840199,\"id\":\"chatcmpl-EU5dHjjHh6g7s4uSL7kMOOpLEXVki\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\",\"usage\":{\"cache_created_input_tokens\":0,\"cache_creation\":{\"ephemeral_1h_input_tokens\":0,\"ephemeral_5m_input_tokens\":0},\"cache_read_input_tokens\":0,\"completion_tokens\":10,\"completion_tokens_details\":{\"reasoning_tokens\":0},\"prompt_tokens\":4765,\"prompt_tokens_details\":{\"cached_tokens\":0},\"speed\":null,\"total_tokens\":4775}}\n\ndata: [DONE]\n\n"
+      }
+    },
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://inference.do-ai.run/v1/chat/completions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"openai-gpt-5-nano\",\"messages\":[{\"role\":\"system\",\"content\":[{\"type\":\"text\",\"text\":\"You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid fillLine truncated
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "data: {\"choices\":[{\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840200,\"id\":\"chatcmpl-EU5dHYe8HWjEAEIIvsJ6Hk0EUxL9r\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"content\":\"OK\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840200,\"id\":\"chatcmpl-EU5dHYe8HWjEAEIIvsJ6Hk0EUxL9r\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{},\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null}],\"created\":1790840200,\"id\":\"chatcmpl-EU5dHYe8HWjEAEIIvsJ6Hk0EUxL9r\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[],\"created\":1790840200,\"id\":\"chatcmpl-EU5dHYe8HWjEAEIIvsJ6Hk0EUxL9r\",\"model\":\"openai-gpt-5-nano\",\"object\":\"chat.completion.chunk\",\"usage\":{\"cache_created_input_tokens\":0,\"cache_creation\":{\"ephemeral_1h_input_tokens\":0,\"ephemeral_5m_input_tokens\":0},\"cache_read_input_tokens\":4608,\"completion_tokens\":10,\"completion_tokens_details\":{\"reasoning_tokens\":0},\"prompt_tokens\":4765,\"prompt_tokens_details\":{\"cached_tokens\":4608},\"speed\":null,\"total_tokens\":4775}}\n\ndata: [DONE]\n\n"
+      }
+    }
+  ]
+}

packages/ai/test/fixtures/recordings/digitalocean-chat/haiku-continues-a-tool-call-with-cache-markers.json

@@ -0,0 +1,54 @@
+{
+  "version": 1,
+  "metadata": {
+    "model": "anthropic-claude-haiku-4.5",
+    "tags": [
+      "prefix:digitalocean-chat",
+      "provider:digitalocean",
+      "protocol:digitalocean-chat",
+      "cache",
+      "tool",
+      "tool-loop"
+    ],
+    "name": "digitalocean-chat/haiku-continues-a-tool-call-with-cache-markers",
+    "recordedAt": "2026-10-01T07:36:38.471Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://inference.do-ai.run/v1/chat/completions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"anthropic-claude-haiku-4.5\",\"messages\":[{\"role\":\"system\",\"content\":[{\"type\":\"text\",\"text\":\"Use the get_weather tool exactly once. After the tool result, reply exactly: Paris is sunny.\",\"cache_control\":{\"type\":\"ephemeral\"}}]},{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is the weather in Paris?\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false},\"strict\":false},\"cache_control\":{\"type\":\"ephemeral\"}}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"store\":false,\"max_completion_tokens\":128}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
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+      }
+    },
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://inference.do-ai.run/v1/chat/completions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"anthropic-claude-haiku-4.5\",\"messages\":[{\"role\":\"system\",\"content\":[{\"type\":\"text\",\"text\":\"Use the get_weather tool exactly once. After the tool result, reply exactly: Paris is sunny.\",\"cache_control\":{\"type\":\"ephemeral\"}}]},{\"role\":\"user\",\"content\":\"What is the weather in Paris?\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"toolu_014LEa2F66CGw2SoLmWBeH5C\",\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"arguments\":\"{\\\"city\\\":\\\"Paris\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"toolu_014LEa2F66CGw2SoLmWBeH5C\",\"content\":[{\"type\":\"text\",\"text\":\"{\\\"temperature\\\":22,\\\"condition\\\":\\\"sunny\\\"}\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false},\"strict\":false},\"cache_control\":{\"type\":\"ephemeral\"}}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"store\":false,\"max_completion_tokens\":128}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
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+      }
+    }
+  ]
+}

packages/ai/test/fixtures/recordings/digitalocean-chat/haiku-reuses-a-cached-prompt.json

@@ -0,0 +1,53 @@
+{
+  "version": 1,
+  "metadata": {
+    "model": "anthropic-claude-haiku-4.5",
+    "tags": [
+      "prefix:digitalocean-chat",
+      "provider:digitalocean",
+      "protocol:digitalocean-chat",
+      "cache",
+      "usage"
+    ],
+    "name": "digitalocean-chat/haiku-reuses-a-cached-prompt",
+    "recordedAt": "2026-10-01T07:36:36.689Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://inference.do-ai.run/v1/chat/completions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"anthropic-claude-haiku-4.5\",\"messages\":[{\"role\":\"system\",\"content\":[{\"type\":\"text\",\"text\":\"You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and aLine truncated
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "data: {\"choices\":[{\"delta\":{\"content\":\"OK\",\"role\":\"assistant\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840195,\"id\":\"chatcmpl-94f208e5-82fa-4ec6-b014-1b4ea9fbb98c\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{},\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null}],\"created\":1790840195,\"id\":\"chatcmpl-94f208e5-82fa-4ec6-b014-1b4ea9fbb98c\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[],\"created\":1790840195,\"id\":\"chatcmpl-94f208e5-82fa-4ec6-b014-1b4ea9fbb98c\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\",\"usage\":{\"cache_created_input_tokens\":5759,\"cache_creation\":{\"ephemeral_1h_input_tokens\":0,\"ephemeral_5m_input_tokens\":5759},\"cache_read_input_tokens\":0,\"completion_tokens\":4,\"completion_tokens_details\":{\"reasoning_tokens\":0},\"prompt_tokens\":5762,\"prompt_tokens_details\":{\"cached_tokens\":0},\"speed\":null,\"total_tokens\":5766}}\n\ndata: [DONE]\n\n"
+      }
+    },
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://inference.do-ai.run/v1/chat/completions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"anthropic-claude-haiku-4.5\",\"messages\":[{\"role\":\"system\",\"content\":[{\"type\":\"text\",\"text\":\"You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and aLine truncated
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "data: {\"choices\":[{\"delta\":{\"content\":\"OK\",\"role\":\"assistant\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840196,\"id\":\"chatcmpl-eee2d578-6fab-4fc1-8117-043193225bed\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{},\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null}],\"created\":1790840196,\"id\":\"chatcmpl-eee2d578-6fab-4fc1-8117-043193225bed\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[],\"created\":1790840196,\"id\":\"chatcmpl-eee2d578-6fab-4fc1-8117-043193225bed\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\",\"usage\":{\"cache_created_input_tokens\":0,\"cache_creation\":{\"ephemeral_1h_input_tokens\":0,\"ephemeral_5m_input_tokens\":0},\"cache_read_input_tokens\":5759,\"completion_tokens\":4,\"completion_tokens_details\":{\"reasoning_tokens\":0},\"prompt_tokens\":5762,\"prompt_tokens_details\":{\"cached_tokens\":5759},\"speed\":null,\"total_tokens\":5766}}\n\ndata: [DONE]\n\n"
+      }
+    }
+  ]
+}

packages/ai/test/fixtures/recordings/mistral-chat/drives-a-tool-loop.json

@@ -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"
       }
     }
   ]

packages/ai/test/http-timeout.test.ts

@@ -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()
+    }),
+  )
+})

packages/ai/test/provider-error.test.ts

@@ -15,6 +15,7 @@ describe("provider error classification", () => {
       "Prompt has 5,958,968 tokens, but the configured context size is 256,000 tokens",
       "Range of input length should be [1, 129024]",
       "Too many tokens",
+      "Input validation error: `inputs` tokens + `max_new_tokens` must be <= 131073. Given: 600035 `inputs` tokens and 16 `max_new_tokens`",
       "Token limit exceeded",
     ]
 
@@ -461,6 +462,27 @@ describe("provider error rawBody classification", () => {
     expect(reason._tag === "InvalidRequest" ? reason.classification : reason._tag).toBe("context-overflow")
   })
 
+  test("separates Cohere prompt overflow from output limit rejections", () => {
+    const classify = (message: string) => {
+      const reason = classifyProviderFailure({
+        message,
+        status: 400,
+        rawBody: JSON.stringify({ error_type: "TOO_MANY_TOKENS", message }),
+      })
+      return reason._tag === "InvalidRequest" ? reason.classification : reason._tag
+    }
+    expect(
+      classify(
+        "too many tokens: size limit exceeded by 168512 tokens. Try using shorter or fewer inputs. The limit for this model is 132000 tokens.",
+      ),
+    ).toBe("context-overflow")
+    expect(
+      classify(
+        "too many tokens: max tokens must be less than or equal to 4096, the maximum output length for this model - received 1000000.",
+      ),
+    ).toBeUndefined()
+  })
+
   test("classifies invalid API keys reported as HTTP 400 as authentication failures", () => {
     const rawBody = JSON.stringify({
       error: {

packages/ai/test/provider-package.test.ts

@@ -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"),

packages/ai/test/provider/anthropic-messages.test.ts

@@ -314,6 +314,9 @@ describe("Anthropic Messages route", () => {
         "claude-haiku-5-1",
         "claude-fable-6",
         "anthropic/claude-mythos-7.2",
+        "claude-sonnet-5-5",
+        "claude-opus-4-8@20260101",
+        "claude-nova-6",
       ]
 
       const prepared = yield* Effect.forEach(ids, (id) =>
@@ -1673,6 +1676,40 @@ describe("Anthropic Messages route", () => {
     }),
   )
 
+  it.effect("carries a refusal's category and explanation on the content-filter finish", () =>
+    Effect.gen(function* () {
+      const refusal = (stop_details: unknown) =>
+        LLMClient.generate(request).pipe(
+          Effect.provide(
+            fixedResponse(
+              sseEvents(
+                { type: "message_start", message: { usage: { input_tokens: 5 } } },
+                { type: "message_delta", delta: { stop_reason: "refusal", stop_details }, usage: { output_tokens: 0 } },
+                { type: "message_stop" },
+              ),
+            ),
+          ),
+        )
+
+      expect(
+        (yield* refusal({
+          type: "refusal",
+          category: "cyber",
+          explanation: "This request was declined because it could enable cyber harm.",
+        })).finishReason,
+      ).toEqual({
+        normalized: "content-filter",
+        raw: "refusal",
+        category: "cyber",
+        explanation: "This request was declined because it could enable cyber harm.",
+      })
+      expect((yield* refusal({ type: "refusal", category: null, explanation: null })).finishReason).toEqual({
+        normalized: "content-filter",
+        raw: "refusal",
+      })
+    }),
+  )
+
   it.effect("assembles streamed tool call input", () =>
     Effect.gen(function* () {
       const body = sseEvents(

packages/ai/test/provider/bedrock-converse.test.ts

@@ -648,6 +648,177 @@ describe("Bedrock Converse route", () => {
     }),
   )
 
+  it.effect("hoists tool-result images beside the result for Bedrock GPT models", () =>
+    Effect.gen(function* () {
+      const prepared = yield* compileRequest(
+        LLM.request({
+          model: AmazonBedrock.configure({ baseURL: "https://bedrock-runtime.test", apiKey: "test-bearer" }).model(
+            "global.openai.gpt-6-sol",
+          ),
+          messages: [
+            Message.user("What is in this image?"),
+            Message.assistant([ToolCallPart.make({ id: "tool_1", name: "read", input: {} })]),
+            Message.tool({
+              id: "tool_1",
+              name: "read",
+              result: {
+                type: "content",
+                value: [
+                  { type: "text", text: "Image loaded." },
+                  { type: "file", uri: "data:image/png;base64,AAAA", mime: "image/png" },
+                  { type: "file", uri: "data:application/pdf;base64,QkI=", mime: "application/pdf", name: "note.pdf" },
+                ],
+              },
+            }),
+          ],
+          cache: "none",
+        }),
+      )
+
+      expect(prepared.body.messages[2]).toEqual({
+        role: "user",
+        content: [
+          {
+            toolResult: {
+              toolUseId: "tool_1",
+              content: [
+                { text: "Image loaded." },
+                { text: 'Attached file "note.pdf" has document label "note".' },
+                { document: { format: "pdf", name: "note", source: { bytes: "QkI=" } } },
+              ],
+              status: "success",
+            },
+          },
+          { image: { format: "png", source: { bytes: "AAAA" } } },
+        ],
+      })
+    }),
+  )
+
+  it.effect("hoists tool-result images for other Bedrock model families", () =>
+    Effect.gen(function* () {
+      for (const id of [
+        "qwen.qwen3-vl-235b-a22b",
+        "global.xai.grok-4.7",
+        "global.moonshotai.kimi-k3",
+        "us.meta.llama4-scout-17b-instruct-v1:0",
+      ]) {
+        const prepared = yield* compileRequest(
+          LLM.request({
+            model: AmazonBedrock.configure({ baseURL: "https://bedrock-runtime.test", apiKey: "test-bearer" }).model(
+              id,
+            ),
+            messages: [
+              Message.assistant([ToolCallPart.make({ id: "tool_1", name: "read", input: {} })]),
+              Message.tool({
+                id: "tool_1",
+                name: "read",
+                result: {
+                  type: "content",
+                  value: [{ type: "file", uri: "data:image/png;base64,AAAA", mime: "image/png" }],
+                },
+              }),
+            ],
+            cache: "none",
+          }),
+        )
+        expect(prepared.body.messages[1]).toEqual({
+          role: "user",
+          content: [
+            { toolResult: { toolUseId: "tool_1", content: [{ text: "See attached image." }], status: "success" } },
+            { image: { format: "png", source: { bytes: "AAAA" } } },
+          ],
+        })
+      }
+    }),
+  )
+  ;["global.anthropic.claude-sonnet-4-5-20250929-v1:0", "us.amazon.nova-pro-v1:0"].forEach((id) => {
+    it.effect(`keeps ${id} tool images inside the result`, () =>
+      Effect.gen(function* () {
+        const prepared = yield* compileRequest(
+          LLM.request({
+            model: AmazonBedrock.configure({ baseURL: "https://bedrock-runtime.test", apiKey: "test-bearer" }).model(
+              id,
+            ),
+            messages: [
+              Message.assistant([ToolCallPart.make({ id: "tool_1", name: "read", input: {} })]),
+              Message.tool({
+                id: "tool_1",
+                name: "read",
+                result: {
+                  type: "content",
+                  value: [{ type: "file", uri: "data:image/png;base64,AAAA", mime: "image/png" }],
+                },
+              }),
+            ],
+            cache: "none",
+          }),
+        )
+
+        expect(prepared.body.messages[1]).toEqual({
+          role: "user",
+          content: [
+            {
+              toolResult: {
+                toolUseId: "tool_1",
+                content: [{ image: { format: "png", source: { bytes: "AAAA" } } }],
+                status: "success",
+              },
+            },
+          ],
+        })
+      }),
+    )
+  })
+
+  it.effect("keeps parallel tool results before hoisted images and gives image-only results text", () =>
+    Effect.gen(function* () {
+      const prepared = yield* compileRequest(
+        LLM.request({
+          model: AmazonBedrock.configure({ baseURL: "https://bedrock-runtime.test", apiKey: "test-bearer" }).model(
+            "global.openai.gpt-6-sol",
+          ),
+          messages: [
+            Message.assistant([
+              ToolCallPart.make({ id: "tool_1", name: "first", input: {} }),
+              ToolCallPart.make({ id: "tool_2", name: "second", input: {} }),
+            ]),
+            Message.tool({
+              id: "tool_1",
+              name: "first",
+              result: {
+                type: "content",
+                value: [{ type: "file", uri: "data:image/png;base64,AAAA", mime: "image/png" }],
+              },
+            }),
+            Message.tool({
+              id: "tool_2",
+              name: "second",
+              result: {
+                type: "content",
+                value: [
+                  { type: "text", text: "Second image." },
+                  { type: "file", uri: "data:image/jpeg;base64,BBBB", mime: "image/jpeg" },
+                ],
+              },
+            }),
+          ],
+          cache: "none",
+        }),
+      )
+
+      expect(prepared.body.messages[1]).toEqual({
+        role: "user",
+        content: [
+          { toolResult: { toolUseId: "tool_1", content: [{ text: "See attached image." }], status: "success" } },
+          { toolResult: { toolUseId: "tool_2", content: [{ text: "Second image." }], status: "success" } },
+          { image: { format: "png", source: { bytes: "AAAA" } } },
+          { image: { format: "jpeg", source: { bytes: "BBBB" } } },
+        ],
+      })
+    }),
+  )
+
   it.effect("decodes text-delta + messageStop + metadata usage from binary event stream", () =>
     Effect.gen(function* () {
       const body = eventStreamBody(

packages/ai/test/provider/cohere.recorded.test.ts

@@ -0,0 +1,98 @@
+import { expect } from "bun:test"
+import { Effect } from "effect"
+import { LLM, LLMEvent, LLMRequest, SystemPart } from "../../src/index.js"
+import { Cohere } from "../../src/providers/cohere.js"
+import { LLMClient } from "../../src/route.js"
+import { expectWeatherToolLoop, goldenWeatherToolLoopRequest, runWeatherToolLoop } from "../recorded-scenarios.js"
+import { recordedTests } from "../recorded-test.js"
+
+const recorded = recordedTests({ prefix: "cohere", provider: "cohere", requires: ["COHERE_API_KEY"] })
+const cohere = Cohere.configure({ apiKey: process.env.COHERE_API_KEY ?? "fixture" })
+
+recorded.effect(
+  "streams native text and usage",
+  () =>
+    Effect.gen(function* () {
+      const response = yield* LLMClient.generate(
+        LLM.request({
+          model: cohere.model("command-a-03-2025"),
+          prompt: "Reply exactly: OK",
+          generation: { maxTokens: 64 },
+        }),
+      )
+      expect(response.text.trim()).toMatch(/^OK\.?$/)
+      expect(response.usage.inputTokens).toBeGreaterThan(0)
+      expect(response.usage.outputTokens).toBeGreaterThan(0)
+      expect(response.events.find(LLMEvent.is.finish)?.reason).toEqual({ normalized: "stop", raw: "COMPLETE" })
+      expect(response.usage.providerMetadata?.cohere?.billed_units).toBeDefined()
+    }),
+  60_000,
+)
+
+recorded.effect(
+  "streams native thinking with a budget",
+  () =>
+    Effect.gen(function* () {
+      const response = yield* LLMClient.generate(
+        LLM.request({
+          model: cohere.model("command-a-reasoning-08-2025"),
+          prompt: "What is 17 times 23? Answer briefly.",
+          providerOptions: { thinking: { type: "enabled", tokenBudget: 128 } },
+          generation: { maxTokens: 2048 },
+        }),
+      )
+      expect(response.reasoning.length).toBeGreaterThan(0)
+      expect(response.text).toContain("391")
+      expect(response.usage.reasoningTokens).toBeGreaterThan(0)
+      expect(response.usage.reasoningTokens).toBeLessThanOrEqual(128)
+      expect(response.events.filter(LLMEvent.is.finish)).toHaveLength(1)
+    }),
+  60_000,
+)
+
+recorded.effect(
+  "continues a native tool call",
+  () =>
+    Effect.gen(function* () {
+      const events = yield* runWeatherToolLoop(
+        LLMRequest.update(
+          goldenWeatherToolLoopRequest({
+            id: "cohere-tool-loop",
+            model: cohere.model("command-a-plus-05-2026"),
+            maxTokens: 2048,
+            temperature: false,
+          }),
+          {
+            system: [
+              SystemPart.make("Use the get_weather tool exactly once."),
+              SystemPart.make("After the tool result, reply exactly: Paris is sunny."),
+            ],
+          },
+        ),
+      )
+      expectWeatherToolLoop(events)
+      expect(events.some(LLMEvent.is.toolInputDelta)).toBe(true)
+    }),
+  60_000,
+)
+
+recorded.effect(
+  "streams compatible chat reasoning",
+  () =>
+    Effect.gen(function* () {
+      const response = yield* LLMClient.generate(
+        LLM.request({
+          model: cohere.chat("command-a-reasoning-08-2025"),
+          prompt: "What is 17 times 23? Answer briefly.",
+          providerOptions: { reasoningEffort: "high" },
+          generation: { maxTokens: 2048 },
+        }),
+      )
+      expect(response.reasoning.length).toBeGreaterThan(0)
+      expect(response.text).toContain("391")
+      expect(response.events.find(LLMEvent.is.finish)?.reason.normalized).toBe("stop")
+      expect(response.usage.inputTokens).toBeGreaterThan(0)
+      expect(response.usage.reasoningTokens).toBeGreaterThan(0)
+    }),
+  60_000,
+)

packages/ai/test/provider/cohere.test.ts

@@ -0,0 +1,272 @@
+import { expect, test } from "bun:test"
+import { Effect } from "effect"
+import { LLM, LLMClient, LLMEvent, Media, Message, SystemPart, isRetryable } from "../../src/index.js"
+import { Cohere } from "../../src/providers/cohere.js"
+import { compileRequest } from "../../src/route/client.js"
+import { it } from "../lib/effect.js"
+import { fixedResponse } from "../lib/http.js"
+import { sseEvents } from "../lib/sse.js"
+
+const cohere = Cohere.configure({ apiKey: "fixture" })
+
+test("Cohere exposes native and compatible endpoints without Core remapping", () => {
+  expect(cohere.model("command-a-03-2025").route.endpoint.baseURL).toBe("https://api.cohere.com/v2")
+  expect(cohere.chat("command-a-03-2025").route.endpoint.baseURL).toBe("https://api.cohere.ai/compatibility/v1")
+  expect(
+    Cohere.model("command-a-03-2025", { apiKey: "fixture", headers: { "X-Test": "yes" }, body: { temperature: 0 } })
+      .route.defaults?.http,
+  ).toMatchObject({ body: { temperature: 0 } })
+})
+
+it.effect("Cohere lowers native history, thinking, tools, and sampling", () =>
+  Effect.gen(function* () {
+    const prepared = yield* compileRequest(
+      LLM.request({
+        model: cohere.model("command-a-reasoning-08-2025"),
+        system: [SystemPart.make("Be concise.\nKeep this newline."), SystemPart.make("Second instructions.")],
+        messages: [
+          Message.user("Lookup Paris"),
+          Message.assistant([{ type: "tool-call", id: "lookup-1", name: "lookup", input: { city: "Paris" } }]),
+          Message.tool({ id: "lookup-1", name: "lookup", result: { sunny: true } }),
+        ],
+        tools: [{ name: "lookup", description: "Look up a city", inputSchema: { type: "object", properties: {} } }],
+        toolChoice: "required",
+        providerOptions: { thinking: { tokenBudget: 128 } },
+        generation: { maxTokens: 2048, topP: 0.9, topK: 10 },
+      }),
+    )
+    expect(prepared.body).toMatchObject({
+      model: "command-a-reasoning-08-2025",
+      stream: true,
+      p: 0.9,
+      k: 10,
+      max_tokens: 2048,
+      thinking: { type: "enabled", token_budget: 128 },
+      tool_choice: "REQUIRED",
+      messages: [
+        {
+          role: "system",
+          content: [
+            { type: "text", text: "Be concise.\nKeep this newline." },
+            { type: "text", text: "Second instructions." },
+          ],
+        },
+        { role: "user", content: [{ type: "text", text: "Lookup Paris" }] },
+        {
+          role: "assistant",
+          tool_calls: [{ id: "lookup-1", function: { name: "lookup", arguments: '{"city":"Paris"}' } }],
+        },
+        { role: "tool", tool_call_id: "lookup-1", content: '{"sunny":true}' },
+      ],
+    })
+  }),
+)
+
+it.effect("Cohere compatibility omits unsupported OpenAI fields", () =>
+  Effect.gen(function* () {
+    const prepared = yield* compileRequest(
+      LLM.request({
+        model: cohere.chat("command-a-reasoning-08-2025"),
+        prompt: "Hello",
+        providerOptions: { reasoningEffort: "high" },
+        generation: { maxTokens: 64 },
+      }),
+    )
+    expect(prepared.body).toMatchObject({ reasoning_effort: "high", max_tokens: 64, stream: true })
+    expect(prepared.body.stream_options).toEqual({ include_usage: true })
+    for (const key of ["store", "max_completion_tokens", "parallel_tool_calls", "prompt_cache_key"])
+      expect(prepared.body[key]).toBeUndefined()
+  }),
+)
+
+it.effect("Cohere maps inclusive usage while retaining distinct billed units", () =>
+  Effect.gen(function* () {
+    const response = yield* LLMClient.generate(
+      LLM.request({ model: cohere.model("command-a-03-2025"), prompt: "Hi" }),
+    ).pipe(
+      Effect.provide(
+        fixedResponse(
+          sseEvents(
+            { type: "message-start" },
+            { type: "content-start", index: 0, delta: { message: { content: { type: "thinking", thinking: "" } } } },
+            { type: "content-delta", index: 0, delta: { message: { content: { thinking: "Think" } } } },
+            { type: "content-end", index: 0 },
+            { type: "content-start", index: 1, delta: { message: { content: { type: "text", text: "" } } } },
+            { type: "content-delta", index: 1, delta: { message: { content: { text: "OK" } } } },
+            { type: "content-end", index: 1 },
+            {
+              type: "message-end",
+              delta: {
+                finish_reason: "COMPLETE",
+                usage: {
+                  tokens: { input_tokens: 100, output_tokens: 20, reasoning_tokens: 10 },
+                  billed_units: { input_tokens: 30, output_tokens: 15 },
+                  cached_tokens: 60,
+                },
+              },
+            },
+          ),
+        ),
+      ),
+    )
+    expect(response.text).toBe("OK")
+    expect(response.reasoning).toBe("Think")
+    expect(response.usage).toMatchObject({
+      inputTokens: 100,
+      nonCachedInputTokens: 40,
+      cacheReadInputTokens: 60,
+      outputTokens: 20,
+      reasoningTokens: 10,
+      totalTokens: 120,
+      providerMetadata: { cohere: { billed_units: { input_tokens: 30, output_tokens: 15 } } },
+    })
+    expect(response.events.filter(LLMEvent.is.finish)).toHaveLength(1)
+  }),
+)
+
+it.effect("Cohere rejects incomplete streams", () =>
+  Effect.gen(function* () {
+    const error = yield* LLMClient.generate(
+      LLM.request({ model: cohere.model("command-a-03-2025"), prompt: "Hi" }),
+    ).pipe(Effect.provide(fixedResponse(sseEvents({ type: "message-start" }))), Effect.flip)
+    expect(error.message).toContain("without message-end")
+  }),
+)
+
+it.effect("Cohere preserves native tool plans in continued history", () =>
+  Effect.gen(function* () {
+    const response = yield* LLMClient.generate(
+      LLM.request({ model: cohere.model("command-a-03-2025"), prompt: "Hi" }),
+    ).pipe(
+      Effect.provide(
+        fixedResponse(
+          sseEvents(
+            { type: "message-start" },
+            { type: "tool-plan-delta", delta: { message: { tool_plan: "Look up the weather." } } },
+            {
+              type: "tool-call-start",
+              index: 0,
+              delta: { message: { tool_calls: { id: "lookup-1", function: { name: "lookup", arguments: "" } } } },
+            },
+            {
+              type: "tool-call-delta",
+              index: 0,
+              delta: { message: { tool_calls: { function: { arguments: '{"city":"Paris"}' } } } },
+            },
+            { type: "tool-call-end", index: 0 },
+            { type: "message-end", delta: { finish_reason: "TOOL_CALL" } },
+          ),
+        ),
+      ),
+    )
+    expect(response.toolCalls[0]?.input).toEqual({ city: "Paris" })
+    const prepared = yield* compileRequest(
+      LLM.request({
+        model: cohere.model("command-a-03-2025"),
+        messages: [response.message, Message.tool({ id: "lookup-1", name: "lookup", result: { sunny: true } })],
+      }),
+    )
+    expect(prepared.body.messages).toMatchObject([
+      { role: "assistant", tool_plan: "Look up the weather.", tool_calls: [{ id: "lookup-1" }] },
+      { role: "tool", tool_call_id: "lookup-1" },
+    ])
+  }),
+)
+
+it.effect("Cohere rejects unsupported media instead of silently dropping it", () =>
+  Effect.gen(function* () {
+    const error = yield* compileRequest(
+      LLM.request({
+        model: cohere.model("command-a-03-2025"),
+        messages: [Message.user([{ type: "media", media: Media.base64("Zm9v", "audio/wav") }])],
+      }),
+    ).pipe(Effect.flip)
+    expect(error.reason._tag).toBe("InvalidRequest")
+  }),
+)
+
+it.effect("Cohere thinking budgets must be positive integers", () =>
+  Effect.gen(function* () {
+    const error = yield* compileRequest(
+      LLM.request({
+        model: cohere.model("command-a-reasoning-08-2025"),
+        providerOptions: { thinking: { tokenBudget: 0 } },
+      }),
+    ).pipe(Effect.flip)
+    expect(error.reason._tag).toBe("InvalidRequest")
+  }),
+)
+
+it.effect("Cohere fits thinking budgets under the output limit", () =>
+  Effect.gen(function* () {
+    const prepared = yield* compileRequest(
+      LLM.request({
+        model: cohere.model("command-a-reasoning-08-2025"),
+        prompt: "Hi",
+        providerOptions: { thinking: { tokenBudget: 31_999 } },
+        generation: { maxTokens: 4096 },
+      }),
+    )
+    expect(prepared.body.thinking).toEqual({ type: "enabled", token_budget: 2048 })
+  }),
+)
+
+// Bodies captured live on 2026-10-02, except 402 and 429, which are Cohere's documented messages.
+const errors = [
+  { status: 401, message: "Incorrect API key provided: ***-123.", tag: "Authentication", retry: false },
+  { status: 404, message: "model 'no-such-model-xyz' not found", tag: "InvalidRequest", retry: false },
+  {
+    status: 400,
+    message: "invalid request: temperature must be between 0 and 2.0 inclusive.",
+    tag: "InvalidRequest",
+    retry: false,
+  },
+  {
+    status: 400,
+    error_type: "TOO_MANY_TOKENS",
+    message: "too many tokens: size limit exceeded by 168512 tokens. The limit for this model is 132000 tokens.",
+    tag: "InvalidRequest",
+    classification: "context-overflow",
+    retry: false,
+  },
+  {
+    status: 400,
+    error_type: "TOO_MANY_TOKENS",
+    message:
+      "too many tokens: max tokens must be less than or equal to 4096, the maximum output length for this model - received 1000000.",
+    tag: "InvalidRequest",
+    retry: false,
+  },
+  { status: 402, message: "Please add or update your payment method to continue", tag: "QuotaExceeded", retry: false },
+  {
+    status: 429,
+    message: "You are using a Trial key, which is limited to 40 API calls / minute.",
+    tag: "RateLimit",
+    retry: true,
+  },
+  { status: 500, message: "internal server error", tag: "ProviderInternal", retry: true },
+]
+
+it.effect("Cohere HTTP errors map to AI error reasons", () =>
+  Effect.forEach(errors, (item) =>
+    Effect.gen(function* () {
+      const error = yield* LLMClient.generate(
+        LLM.request({ model: cohere.model("command-a-03-2025"), prompt: "Hi" }),
+      ).pipe(
+        Effect.provide(
+          fixedResponse(JSON.stringify({ id: "fixture", error_type: item.error_type, message: item.message }), {
+            status: item.status,
+            headers: { "content-type": "application/json" },
+          }),
+        ),
+        Effect.flip,
+      )
+      expect({
+        message: error.message,
+        tag: error.reason._tag,
+        classification: error.reason._tag === "InvalidRequest" ? error.reason.classification : undefined,
+        retry: isRetryable(error),
+      }).toEqual({ message: item.message, tag: item.tag, classification: item.classification, retry: item.retry })
+    }),
+  ),
+)

packages/ai/test/provider/digitalocean.recorded.test.ts

@@ -0,0 +1,78 @@
+import { describe, expect } from "bun:test"
+import { Effect } from "effect"
+import { LLM, LLMRequest } from "../../src/index.js"
+import { DigitalOcean } from "../../src/providers/digitalocean.js"
+import { LLMClient } from "../../src/route.js"
+import {
+  LARGE_CACHEABLE_SYSTEM,
+  expectWeatherToolLoop,
+  goldenWeatherToolLoopRequest,
+  runWeatherToolLoop,
+} from "../recorded-scenarios.js"
+import { recordedTests } from "../recorded-test.js"
+
+const recorded = recordedTests({
+  prefix: "digitalocean-chat",
+  provider: "digitalocean",
+  protocol: "digitalocean-chat",
+  requires: ["DIGITAL_OCEAN_OFFICIAL_API_KEY"],
+})
+
+for (const item of [
+  { id: "anthropic-claude-haiku-4.5", name: "Haiku", maxTokens: 128, providerOptions: undefined },
+  { id: "openai-gpt-5-nano", name: "GPT Nano", maxTokens: 1024, providerOptions: { reasoningEffort: "minimal" } },
+] as const) {
+  const model = DigitalOcean.configure({
+    apiKey: process.env.DIGITAL_OCEAN_OFFICIAL_API_KEY ?? "fixture",
+    providerOptions: item.providerOptions,
+  }).model(item.id)
+
+  describe(`DigitalOcean ${item.name} recorded`, () => {
+    recorded.effect.with(
+      `${item.name} reuses a cached prompt`,
+      { tags: ["cache", "usage"], metadata: { model: item.id } },
+      () =>
+        Effect.gen(function* () {
+          const request = LLM.request({
+            model,
+            system: LARGE_CACHEABLE_SYSTEM,
+            prompt: "Reply exactly: OK",
+            promptCacheKey: `digitalocean-recorded-${item.id}`,
+            generation: { maxTokens: item.maxTokens },
+          })
+          const first = yield* LLMClient.generate(request)
+          const second = yield* LLMClient.generate(request)
+
+          expect(first.text.trim()).toMatch(/^OK\.?$/)
+          expect(second.text.trim()).toMatch(/^OK\.?$/)
+          expect(second.usage.cacheReadInputTokens).toBeGreaterThan(0)
+          for (const response of [first, second]) {
+            expect(response.usage.inputTokens).toBeGreaterThan(4096)
+            expect(response.usage.inputTokens).toBe(
+              (response.usage.nonCachedInputTokens ?? 0) +
+                (response.usage.cacheReadInputTokens ?? 0) +
+                (response.usage.cacheWriteInputTokens ?? 0),
+            )
+          }
+        }),
+      60_000,
+    )
+
+    recorded.effect.with(
+      `${item.name} continues a tool call with cache markers`,
+      { tags: ["cache", "tool", "tool-loop"], metadata: { model: item.id } },
+      () =>
+        Effect.gen(function* () {
+          const request = goldenWeatherToolLoopRequest({
+            id: `digitalocean-${item.id}-tool-loop`,
+            model,
+            maxTokens: item.maxTokens,
+            temperature: false,
+          })
+          const events = yield* runWeatherToolLoop(LLMRequest.update(request, { cache: "auto" }))
+          expectWeatherToolLoop(events)
+        }),
+      60_000,
+    )
+  })
+}

packages/ai/test/provider/digitalocean.test.ts

@@ -0,0 +1,123 @@
+import { describe, expect, test } from "bun:test"
+import { Effect } from "effect"
+import { CacheHint, LLM } from "../../src/index.js"
+import { compileRequest } from "../../src/route/client.js"
+import { DigitalOcean } from "../../src/providers/digitalocean.js"
+import { it } from "../lib/effect.js"
+import { fixedResponse } from "../lib/http.js"
+import { sseEvents } from "../lib/sse.js"
+import { LLMClient } from "../../src/route.js"
+
+describe("DigitalOcean", () => {
+  test("preserves package entrypoint headers and body overrides", () => {
+    const model = DigitalOcean.model("anthropic-claude-fable-5.1", {
+      apiKey: "test-key",
+      headers: { "X-Test": "fixture" },
+      body: { temperature: 0 },
+    })
+    expect(model.route.defaults?.http).toMatchObject({
+      headers: { "X-Test": "fixture" },
+      body: { temperature: 0 },
+    })
+  })
+
+  it.effect("prepares DigitalOcean models with default endpoint and auth", () =>
+    Effect.gen(function* () {
+      const model = DigitalOcean.configure({ apiKey: "test-key" }).model("anthropic-claude-fable-5.1")
+
+      expect(model).toMatchObject({
+        id: "anthropic-claude-fable-5.1",
+        provider: "digitalocean",
+        route: { id: "digitalocean" },
+      })
+      expect(model.route.endpoint.baseURL).toBe("https://inference.do-ai.run/v1")
+
+      const prepared = yield* compileRequest(LLM.request({ model, prompt: "Say hello.", cache: "none" }))
+
+      expect(prepared.route).toBe("digitalocean")
+      expect(prepared.body).toMatchObject({
+        model: "anthropic-claude-fable-5.1",
+        messages: [{ role: "user", content: "Say hello." }],
+        stream: true,
+      })
+    }),
+  )
+
+  it.effect("lowers the native cache policy to DigitalOcean cache_control markers", () =>
+    Effect.gen(function* () {
+      const prepared = yield* compileRequest(
+        LLM.request({
+          model: DigitalOcean.configure({ apiKey: "test-key" }).model("anthropic-claude-fable-5.1"),
+          system: [
+            { type: "text", text: "Base agent", cache: new CacheHint({ type: "ephemeral", ttlSeconds: 3_600 }) },
+            { type: "text", text: "Project instructions" },
+          ],
+          tools: [{ name: "lookup", description: "Lookup", inputSchema: { type: "object", properties: {} } }],
+          prompt: "Hello",
+          cache: { tools: true, system: true, messages: { tail: 1 } },
+        }),
+      )
+
+      expect(prepared.body).toMatchObject({
+        tools: [{ cache_control: { type: "ephemeral" } }],
+        messages: [
+          {
+            role: "system",
+            content: [
+              { text: "Base agent", cache_control: { type: "ephemeral", ttl: "1h" } },
+              { text: "Project instructions", cache_control: { type: "ephemeral" } },
+            ],
+          },
+          {
+            role: "user",
+            content: [{ text: "Hello", cache_control: { type: "ephemeral" } }],
+          },
+        ],
+      })
+    }),
+  )
+
+  it.effect("parses DigitalOcean cache usage fields into AI.Usage", () =>
+    Effect.gen(function* () {
+      const model = DigitalOcean.configure({ apiKey: "test-key" }).model("anthropic-claude-fable-5.1")
+      const response = yield* LLMClient.generate(LLM.request({ model, prompt: "Say OK" })).pipe(
+        Effect.provide(
+          fixedResponse(
+            sseEvents(
+              {
+                id: "chatcmpl-1",
+                object: "chat.completion.chunk",
+                created: 1,
+                model: "anthropic-claude-fable-5.1",
+                choices: [{ index: 0, delta: { content: "OK" }, finish_reason: null }],
+              },
+              {
+                id: "chatcmpl-1",
+                object: "chat.completion.chunk",
+                created: 1,
+                model: "anthropic-claude-fable-5.1",
+                choices: [{ index: 0, delta: {}, finish_reason: "stop" }],
+                usage: {
+                  prompt_tokens: 4491,
+                  completion_tokens: 8,
+                  total_tokens: 4499,
+                  cache_read_input_tokens: 4483,
+                  cache_created_input_tokens: 0,
+                },
+              },
+              "[DONE]",
+            ),
+          ),
+        ),
+      )
+
+      expect(response.usage).toMatchObject({
+        inputTokens: 4491,
+        outputTokens: 8,
+        nonCachedInputTokens: 8,
+        cacheReadInputTokens: 4483,
+        totalTokens: 4499,
+      })
+    }),
+  )
+})

packages/ai/test/provider/google-vertex.test.ts

@@ -302,6 +302,7 @@ describe("Google Vertex providers", () => {
 
       expect(model.provider).toBe("google-vertex")
       expect(response.text).toBe("Hello.")
+      expect(response.usage?.providerMetadata).toHaveProperty("vertex")
     }),
   )
 

packages/ai/test/provider/groq.recorded.test.ts

@@ -171,6 +171,7 @@ describe("Groq recorded", () => {
         expect(response.text).not.toContain("<think>")
         expect(response.reasoning.length).toBeGreaterThan(0)
         expect(response.events.some(LLMEvent.is.reasoningDelta)).toBe(true)
+        expect(response.usage?.providerMetadata).toHaveProperty("groq")
         expectUsage(response)
       }),
     60_000,

packages/ai/test/provider/mistral-chat.test.ts

@@ -1,7 +1,7 @@
 import { describe, expect, test } from "bun:test"
 import { ConfigProvider, Effect } from "effect"
 import { HttpClientRequest } from "effect/unstable/http"
-import { LLM, LLMEvent, Message, ToolDefinition, Media } from "../../src/index.js"
+import { LLM, LLMEvent, Message, SystemPart, ToolDefinition, Media } from "../../src/index.js"
 import { Mistral } from "../../src/providers/index.js"
 import { MistralChat } from "../../src/protocols/index.js"
 import { LLMClient } from "../../src/route.js"
@@ -41,7 +41,7 @@ describe("Mistral Chat", () => {
       const prepared = yield* compileRequest(
         LLM.request({
           model,
-          system: "Initial",
+          system: [SystemPart.make("Initial\nKeep this newline."), SystemPart.make("Second instructions.")],
           messages: [
             Message.system("Updated"),
             Message.user([
@@ -105,7 +105,13 @@ describe("Mistral Chat", () => {
         reasoning_effort: "high",
       })
       expect(prepared.body.messages.slice(0, 4)).toMatchObject([
-        { role: "system", content: "Initial" },
+        {
+          role: "system",
+          content: [
+            { type: "text", text: "Initial\nKeep this newline." },
+            { type: "text", text: "Second instructions." },
+          ],
+        },
         { role: "user", content: "<system-update>\nUpdated\n</system-update>" },
         {
           role: "user",

packages/ai/test/provider/mistral.recorded.test.ts

@@ -1,7 +1,7 @@
 import { configure } from "@opencode/ai/providers/mistral"
 import { describe, expect } from "bun:test"
 import { Effect } from "effect"
-import { LLM, LLMEvent, LLMRequest, Message, ToolChoice, ToolDefinition } from "../../src/index.js"
+import { LLM, LLMEvent, LLMRequest, Message, SystemPart, ToolChoice, ToolDefinition } from "../../src/index.js"
 import { LLMClient } from "../../src/route.js"
 import { compileRequest } from "../../src/route/client.js"
 import { recordedTests } from "../recorded-test.js"
@@ -97,7 +97,10 @@ describe("Mistral recorded", () => {
         const model = configure({ apiKey, providerOptions: { reasoningEffort: "none" } }).model("mistral-small-latest")
         const firstRequest = LLM.request({
           model,
-          system: "Call lookup_weather exactly once with Paris.",
+          system: [
+            SystemPart.make("Call lookup_weather exactly once with Paris."),
+            SystemPart.make("After the tool result, describe the weather briefly."),
+          ],
           prompt: "What is the weather?",
           tools: [weather],
           toolChoice: weather,

packages/ai/test/provider/native-providers.test.ts

@@ -48,7 +48,7 @@ describe("native OpenAI-compatible providers", () => {
       [GoogleVertex.configure(vertex).model("model"), "vertex"],
       [GoogleVertexChat.configure(vertex).model("model"), "vertex"],
       [GoogleVertexResponses.configure(vertex).model("model"), "vertex"],
-      [GoogleVertexMessages.configure(vertex).model("model"), "anthropic"],
+      [GoogleVertexMessages.configure(vertex).model("model"), "vertex"],
       [Anthropic.configure({ apiKey: "test" }).model("model"), "anthropic"],
       [
         AnthropicCompatible.configure({ baseURL: "https://example.test/v1", provider: "minimax" }).model("model"),
@@ -64,6 +64,7 @@ describe("native OpenAI-compatible providers", () => {
       [DeepSeek.configure({ apiKey: "test" }).model("model"), "deepseek"],
       [Fireworks.configure({ apiKey: "test" }).model("model"), "fireworks"],
       [DeepInfra.configure({ apiKey: "test" }).model("model"), "deepinfra"],
+      [Groq.configure({ apiKey: "test" }).model("model"), "groq"],
       [TogetherAI.configure({ apiKey: "test" }).model("model"), "togetherai"],
       [CloudflareAIGateway.configure({ accountId: "account" }).model("model"), "cloudflare-ai-gateway"],
       [CloudflareWorkersAI.configure({ accountId: "account" }).model("model"), "cloudflare-workers-ai"],

packages/ai/test/provider/openai-chat.test.ts

@@ -2205,7 +2205,7 @@ describe("OpenAI Chat route", () => {
       )
 
       expect((yield* Ref.get(events)).some((event) => event.type === "text-delta")).toBeTrue()
-      expect(error.message).toBe("ECONNRESET: socket closed unexpectedly")
+      expect(error.message).toBe("Connection lost while reading the response: ECONNRESET: socket closed unexpectedly")
       expect(error.reason).toMatchObject({
         _tag: "Transport",
         transport: "http",
@@ -2223,7 +2223,7 @@ describe("OpenAI Chat route", () => {
         Effect.flip,
       )
 
-      expect(error.message).toBe("ECONNRESET: socket closed before output")
+      expect(error.message).toBe("Connection lost while reading the response: ECONNRESET: socket closed before output")
       expect(error.reason).toMatchObject({
         _tag: "Transport",
         transport: "http",

packages/ai/tsconfig.json

@@ -2,6 +2,7 @@
   "$schema": "https://json.schemastore.org/tsconfig.json",
   "extends": "@tsconfig/bun/tsconfig.json",
   "compilerOptions": {
+    "noUnusedLocals": true,
     "module": "NodeNext",
     "moduleResolution": "NodeNext",
     "allowImportingTsExtensions": false,

packages/app/component-tests/browser-pane-restore.spec.ts

@@ -0,0 +1,61 @@
+import { fileURLToPath } from "node:url"
+import { expect, story } from "../../storybook/playwright/story"
+
+const source = (path: string) => `/@fs/${fileURLToPath(new URL(path, import.meta.url)).replaceAll("\\", "/")}`
+const modules = {
+  fixture: source("../../gui-extensions/src/browser/panel.fixture.tsx"),
+  host: source("../src/runtime/extension/host.tsx"),
+  panels: source("../src/runtime/extension/panels.tsx"),
+  language: source("../src/runtime/i18n/language.tsx"),
+  browser: source("../../gui-extensions/src/browser/index.ts"),
+  browserRenderer: source("../../gui-extensions/src/browser/renderer.tsx"),
+  file: source("../../gui-extensions/src/file/index.ts"),
+  fileRenderer: source("../../gui-extensions/src/file/renderer.tsx"),
+}
+
+story(
+  "keeps a restored browser tab selected and undrawn until the desktop's first inventory",
+  async ({ mount, page }) => {
+    // Any story loads the app styles; the fixture mounts the real side region and extensions beside it.
+    await mount("ui-line-comment--editor")
+    await page.evaluate(async (modules) => {
+      const [{ mountBrowserRegion }, host, panels, language, browser, file] = await Promise.all([
+        import(modules.fixture),
+        import(modules.host),
+        import(modules.panels),
+        import(modules.language),
+        import(modules.browser),
+        import(modules.file),
+      ])
+      mountBrowserRegion({
+        LanguageProvider: language.LanguageProvider,
+        ExtensionHostProvider: host.ExtensionHostProvider,
+        useExtensionHost: host.useExtensionHost,
+        createRegion: panels.createRegion,
+        definitions: [
+          { ...browser.default, renderer: () => import(modules.browserRenderer) },
+          { ...file.default, renderer: () => import(modules.fileRenderer) },
+        ],
+      })
+    }, modules)
+    const root = page.getByTestId("browser-region-fixture")
+    const tabs = root.getByRole("tab")
+    const tree = root.getByTestId("tree")
+    await expect(root.getByText("Registrations: 1", { exact: true })).toBeVisible()
+    await expect(tabs).toHaveText(["alpha.ts"])
+    await expect(tree).toHaveText('{"tab":"changes"}')
+
+    // Beta was left on its browser tab, which the desktop has not reported yet.
+    await root.getByRole("button", { name: "Beta", exact: true }).click()
+    await expect(root.getByText("Registrations: 2", { exact: true })).toBeVisible()
+    await expect(root.getByTestId("selected")).toHaveText(/^browser:tab_/)
+    await expect(tabs).toHaveText(["beta.ts"])
+    // No fallback tab was selected, so the file tab's selection never switched the tree to All files.
+    await expect(tree).toHaveText('{"tab":"changes"}')
+
+    await root.getByRole("button", { name: "First inventory", exact: true }).click()
+    await expect(tabs).toHaveText(["beta.ts", "Preview"])
+    await expect(root.getByRole("tab", { name: "Preview", exact: true })).toHaveAttribute("aria-selected", "true")
+    await expect(tree).toHaveText('{"tab":"changes"}')
+  },
+)

packages/app/e2e/performance/timeline-stability/lifecycle.spec.ts

@@ -1,7 +1,6 @@
 import { expect, test } from "@playwright/test"
 import {
   defineVisualRegions,
-  mapVisualRegions,
   reportVisualStability,
   startVisualProbe,
   stopVisualProbe,

packages/app/e2e/performance/timeline-stability/scroll-interaction.spec.ts

@@ -242,7 +242,7 @@ test("keeps an older answer selected while scrolling within the interaction buff
 
 test("tracks keyboard scrolling from a focused timeline descendant", async ({ page }, testInfo) => {
   const shellID = "prt_descendant_keyboard_01_shell"
-  const timeline = await setupTimeline(page, {
+  await setupTimeline(page, {
     messages: [...history(12), userMessage(), assistantMessage([shell(shellID, "completed", lines(5))])],
     settings: { shellToolPartsExpanded: false },
     cpuRate: 4,

packages/app/e2e/performance/timeline-stability/transition-matrix.spec.ts

@@ -15,7 +15,6 @@ import {
   partUpdated,
   renderedPartID,
   setupTimeline,
-  shell,
   status,
   textPart,
   toolPart,

packages/app/e2e/performance/timeline/session-timeline-profile.ts

@@ -1,4 +1,4 @@
-import type { CDPSession, Page } from "@playwright/test"
+import type { Page } from "@playwright/test"
 import path from "node:path"
 import { mkdir, writeFile } from "node:fs/promises"
 

packages/app/e2e/regression/composer.spec.ts

@@ -183,6 +183,35 @@ test("keeps a narrow session composer contained when invoking a built-in", async
   await expect(editor).toHaveText("keep me")
 })
 
+test("lists slash commands in their built-in order", async ({ page }) => {
+  const { editor } = await openSession(page, {
+    name: "ComposerSlash",
+    provider: NO_PROVIDER,
+    commands: [
+      { name: "init", description: "Create AGENTS.md" },
+      { name: "review", description: "Review changes" },
+    ],
+    // A sent message enables /undo, /compact and /fork.
+    pageMessages: () => ({ items: [{ id: "msg_slash", type: "user", text: "Hello", time: { created: T0 } }] }),
+  })
+  await editor.fill("/")
+  await expect(page.locator('[data-component="composer-suggestions"] [data-suggestion-id] bdi')).toHaveText([
+    "/init",
+    "/review",
+    "/new",
+    "/undo",
+    "/compact",
+    "/fork",
+    "/export",
+    "/open",
+    "/terminal",
+    "/mcp",
+    "/model",
+    "/connect",
+    "/btw",
+  ])
+})
+
 const followUp = "Add follow-up, / for commands, @ for context…"
 for (const row of [
   { state: "an idle", copy: "Ask anything, / for commands, @ for context…" },

packages/app/e2e/regression/mobile-extensions.spec.ts

@@ -37,6 +37,17 @@ test("mobile files browse, comment, search, and close tabs", async ({ page }) =>
   await expect.poll(() => fullWidth(comment)).toBe(true)
 
   await page.setViewportSize({ width: 390, height: 844 })
+  // Its composer chip reveals the comment without leaving the conversation.
+  const session = navigation.getByRole("tab", { name: "Session", exact: true })
+  await session.click()
+  await page
+    .locator('[data-component="composer-attachments"]')
+    .getByText("Full-width file comment", { exact: true })
+    .click()
+  await expect(session).toHaveAttribute("aria-selected", "true")
+  await expect(page.getByRole("textbox", { name: "Prompt", exact: true })).toBeVisible()
+  await navigation.getByRole("tab", { name: "Files", exact: true }).click()
+  await expect(files.getByText("contents:first.ts", { exact: true })).toBeVisible()
   const filter = files.getByRole("combobox", { name: "Filter files", exact: true })
   await expect(filter).toBeHidden()
   await files.getByRole("button", { name: "All files", exact: true }).click()

packages/app/e2e/regression/mobile-session.spec.ts

@@ -221,6 +221,54 @@ test("the summary's changes row switches the view and keeps the side tabs", asyn
 
   await page.setViewportSize({ width: 1280, height: 900 })
   await expect(readme).toHaveAttribute("aria-selected", "true")
+
+  // After a reload forgets the preview, a stored Open file tab is still the slot a narrow-screen file open replaces.
+  const launcher = panel.getByRole("tab", { name: "Open file", exact: true })
+  await panel.getByRole("button", { name: "Open file", exact: true }).click()
+  await expect(launcher).toHaveAttribute("aria-selected", "true")
+  await expect(readme).toHaveCount(0)
+  await page.reload()
+  await expect(launcher).toHaveAttribute("aria-selected", "true")
+  await page.setViewportSize({ width: 390, height: 844 })
+  await tabs.getByRole("tab", { name: "Files", exact: true }).click()
+  const files = page.locator('[data-slot="session-mobile-files"]')
+  await files.getByRole("button", { name: "README.md", exact: true }).click()
+  await expect(files.getByText("contents:README.md", { exact: true })).toBeVisible()
+  await page.setViewportSize({ width: 1280, height: 900 })
+  await expect(readme).toHaveAttribute("aria-selected", "true")
+  await expect(launcher).toHaveCount(0)
+})
+
+test("a narrow-screen palette pick keeps the view and dock, and the side region shows the file when wide", async ({
+  page,
+}) => {
+  await page.setViewportSize({ width: 390, height: 844 })
+  await mockStressTimeline(page, {
+    fileList: (path) => (path ? [] : [fileNode(fixture.directory, "README.md")]),
+    fileContent: (path) => ({ type: "text", content: `contents:${path}` }),
+    findFiles: ({ query }) => ("README.md".includes(query) ? [fileNode(fixture.directory, "README.md")] : []),
+    pty: {},
+  })
+  await openStress(page, { lastProject: { local: fixture.directory } })
+  await page.goto(sessionHref(fixture.targetID))
+
+  const tabs = page.getByRole("tablist", { name: "Session view", exact: true })
+  const terminal = page.locator("#terminal-panel")
+  await tabs.getByRole("tab", { name: "Terminal", exact: true }).click()
+  await expect(terminal.locator("textarea")).toBeEditable()
+  await page.keyboard.press("ControlOrMeta+p")
+  const dialog = page.getByRole("dialog")
+  await dialog.getByRole("textbox").fill("README")
+  await dialog.getByRole("option", { name: "/ README.md", exact: true }).click()
+  await expect(dialog).toHaveCount(0)
+  await expect(tabs.getByRole("tab", { selected: true })).toHaveText("Terminal")
+  await expect(terminal).toHaveAttribute("data-opened", "true")
+
+  await page.setViewportSize({ width: 1280, height: 900 })
+  await expect(terminal).toHaveAttribute("data-opened", "true")
+  const panel = page.locator("#review-panel")
+  await expect(panel.getByRole("tab", { name: "README.md", exact: true })).toHaveAttribute("aria-selected", "true")
+  await expect(panel.getByText("contents:README.md", { exact: true })).toBeVisible()
 })
 
 test.describe("touch", () => {

packages/app/e2e/regression/multi-server.spec.ts

@@ -90,6 +90,7 @@ test("settings opened from a remote session sweep every server and keep the remo
   await expect(page).toHaveURL("/settings")
   await expect(page.locator('[data-titlebar-tab][data-active="true"]')).toHaveCount(0)
   await expect(page.getByRole("dialog")).toHaveCount(0)
+  await expect(settings.getByRole("tab", { name: "Models", exact: true })).toHaveCount(0)
   await view.listed(REMOTE_SERVER, directoryB)
   await expect.poll(() => view.replies).toEqual([reply(sessionA.id, "permission-pending-a")])
 
@@ -112,6 +113,7 @@ test("settings opened from a remote session sweep every server and keep the remo
   await expect(page.locator('[data-titlebar-tab][data-active="true"]')).toContainText(sessionB.title)
   await page.keyboard.press("Control+]")
   await expect(page).toHaveURL("/settings")
+  await expect(settings.getByRole("tab", { name: "Preferences", exact: true })).toHaveAttribute("aria-selected", "true")
   await page.keyboard.press("Escape")
   await expectPath(page, sessionHref(sessionB.id, REMOTE_SERVER))
   await expectSessionTitle(page, sessionB.title)

packages/app/e2e/regression/patch-sticky-header.spec.ts

@@ -220,13 +220,16 @@ for (const scenario of scenarios) {
                 const top = sessionTop + (group?.getBoundingClientRect().height ?? 0)
                 const rect = element.getBoundingClientRect()
                 const trigger = element.querySelector("button")!
+                // The header stuck directly below the session title sits where the title's fade starts.
+                const hits = (target: Element, box: DOMRect) =>
+                  [box.top + 1, box.top + box.height / 2].every((y) =>
+                    target.contains(document.elementFromPoint(box.left + box.width / 2, y)),
+                  )
                 return {
                   gap: Math.abs(rect.top - top - (toolTitle?.getBoundingClientRect().height ?? 0)),
                   groupGap: group ? Math.abs(group.getBoundingClientRect().top - sessionTop) : 0,
                   titleGap: toolTitle ? Math.abs(toolTitle.getBoundingClientRect().top - top) : 0,
-                  clickable: trigger.contains(
-                    document.elementFromPoint(rect.left + rect.width / 2, rect.top + rect.height / 2),
-                  ),
+                  clickable: hits(trigger, rect) && (!group || hits(group, group.getBoundingClientRect())),
                 }
               }),
             )

packages/app/e2e/regression/review.spec.ts

@@ -1,12 +1,36 @@
 import type { OpenCodeEvent, SessionMessageInfo } from "@opencode/client/promise"
 import { expect, test, type Locator, type Page } from "@playwright/test"
 import { base64Encode } from "@opencode/util/encode"
-import { workspaceKey } from "../utils/app"
+import { SERVER, project, provider, session, workspaceKey } from "../utils/app"
+import { mockOpenCodeServer } from "../utils/mock-server"
 import { fileDiff, fileNode, openSession } from "../utils/workspace"
 import { expectSessionTitle } from "../utils/waits"
 
 test.use({ viewport: { width: 1440, height: 900 } })
 
+for (const view of ["desktop", "mobile"] as const) {
+  test(`offers Git initialization for a project without VCS (${view})`, async ({ page }) => {
+    if (view === "mobile") await page.setViewportSize({ width: 390, height: 844 })
+    const requests: { directory: string; provider?: string }[] = []
+    const workspace = await openSession(page, {
+      name: "ReviewWithoutGit",
+      project: { vcs: undefined },
+      onVcsInit: (input) => requests.push(input),
+    })
+    if (view === "desktop") await page.getByRole("button", { name: "Toggle review" }).click()
+    else await page.getByRole("tablist", { name: "Session view" }).getByRole("tab", { name: "Changes" }).click()
+
+    const panel = view === "desktop" ? page.locator("#review-panel") : page.locator('[data-component="session-review"]')
+    await expect(panel.getByText("Track, review, and undo changes in this project")).toBeVisible()
+    await expect(panel.getByRole("button", { name: "Git changes" })).toHaveCount(0)
+    const init = panel.getByRole("button", { name: "Create Git repository" })
+    await init.click()
+    await expect.poll(() => requests).toEqual([{ directory: workspace.directory, provider: "git" }])
+    await expect(panel.getByRole("button", { name: "Git changes" })).toBeVisible()
+    await expect(init).toHaveCount(0)
+  })
+}
+
 test("open file tab browses, searches, and tracks missing files", async ({ page }) => {
   const searches: { query: string; dirs?: string; limit?: number }[] = []
   const directory = "C:/OpenCode/ReviewOpenFile"
@@ -532,6 +556,29 @@ test("restores review state and the side-panel tab per session", async ({ page }
   await expect(review).toHaveAttribute("aria-selected", "true")
 })
 
+test("shows and restores last turn changes from the session diff", async ({ page }) => {
+  const sessionID = "ses_reviewturn"
+  await openSession(page, { name: "ReviewTurn", vcsDiff: [fileDiff("src/alpha.ts")] })
+  await page.route(`**/api/session/${sessionID}/diff**`, (route) =>
+    route.fulfill({
+      status: 200,
+      contentType: "application/json",
+      body: JSON.stringify({ data: [fileDiff("src/delta.ts")] }),
+    }),
+  )
+  const panel = page.locator("#review-panel")
+  await page.getByRole("button", { name: "Toggle review" }).click()
+  await page.getByRole("button", { name: "Git changes" }).click()
+  await page.getByRole("option", { name: "Last turn changes" }).click()
+  await expect(page.getByRole("button", { name: "Last turn changes" })).toBeVisible()
+  await expect(panel.locator('[data-slot="session-review-v2-file-name"]')).toHaveText("delta.ts")
+
+  await page.reload()
+  await expectSessionTitle(page, "ReviewTurn")
+  await expect(page.getByRole("button", { name: "Last turn changes" })).toBeVisible()
+  await expect(panel.locator('[data-slot="session-review-v2-file-name"]')).toHaveText("delta.ts")
+})
+
 test("keeps the review state a session stored before extensions", async ({ page }) => {
   const directory = "C:/OpenCode/ReviewLegacy"
   await openSession(page, {
@@ -580,6 +627,65 @@ test("keeps the review state a session stored before extensions", async ({ page
   await expect(trigger("gamma.ts")).toBeVisible()
 })
 
+test("desktop review waits for the session's stored mode before it loads changes", async ({ page }) => {
+  const directory = "C:/OpenCode/ReviewDesktop"
+  const id = "ses_review_desktop"
+  const title = "Desktop review"
+  await mockOpenCodeServer(page, {
+    directory,
+    project: project({ id: "proj_review_desktop", directory }),
+    provider: provider(),
+    sessions: [session({ id, directory, title })],
+    pageMessages: () => ({ items: [] }),
+    vcs: { current: "feature", default: "dev" },
+    vcsDiff: ({ mode }) => (mode === "branch" ? [fileDiff("beta.ts")] : [fileDiff("gamma.ts")]),
+  })
+  const working: string[] = []
+  page.on("request", (request) => {
+    const url = new URL(request.url())
+    if (url.pathname.endsWith("/vcs/diff") && url.searchParams.get("mode") === "working") working.push(request.url())
+  })
+  const desktop = (hold?: string) =>
+    `/e2e/utils/settings-wsl.html?${new URLSearchParams({
+      server: SERVER,
+      mode: "stopped",
+      storage: "async",
+      path: `/server/${base64Encode("sidecar")}/session/${id}`,
+      ...(hold && { hold }),
+    })}`
+  const mode = (name: string) => page.getByRole("button", { name, exact: true })
+  const file = page.locator('[data-slot="session-review-v2-file-name"]')
+  const toggle = page.getByRole("button", { name: "Toggle review", exact: true })
+
+  await page.goto(desktop())
+  await expectSessionTitle(page, title)
+  await toggle.click()
+  await mode("Git changes").click()
+  await page.getByRole("option", { name: "Branch changes" }).click()
+  await expect(file).toHaveText("beta.ts")
+  await expect
+    .poll(() =>
+      page.evaluate(() =>
+        Object.entries(localStorage).some(
+          ([key, value]) => key.includes("extension.review.session") && value.includes('"branch"'),
+        ),
+      ),
+    )
+    .toBe(true)
+
+  // The reopened window's review mounts before its session store has loaded.
+  working.length = 0
+  await page.goto(desktop("extension.review.session"))
+  await expectSessionTitle(page, title)
+  await expect(toggle).toHaveAttribute("aria-expanded", "true")
+  await expect(page.locator("#review-panel").getByText("Loading changes…", { exact: true })).toBeVisible()
+  await expect(mode("Git changes")).toHaveCount(0)
+  await page.getByRole("button", { name: "Load held storage" }).click()
+  await expect(mode("Branch changes")).toBeVisible()
+  await expect(file).toHaveText("beta.ts")
+  expect(working).toEqual([])
+})
+
 for (const direction of ["ltr", "rtl"] as const) {
   test(`review toggle stays at the header edge in ${direction}`, async ({ page }) => {
     await page.setViewportSize({ width: 1000, height: 900 })

packages/app/e2e/regression/session-summary.spec.ts

@@ -25,7 +25,7 @@ for (const custom of [false, true]) {
     await expect(tooltip.locator('[data-slot="keybind-v2-label"]')).toHaveText(
       custom ? ["F8"] : mac ? ["⇧", "⌘", "Y"] : ["Ctrl", "Shift", "Y"],
     )
-    for (const id of [fixture.targetID, fixture.sourceID]) {
+    for (const id of [fixture.sourceID, fixture.targetID, fixture.sourceID]) {
       await page.locator(`[data-titlebar-tab-link][href="${sessionHref(id)}"]`).click()
       const messages = id === fixture.sourceID ? fixture.expected.sourceMessageIDs : fixture.expected.targetMessageIDs
       await expect(

packages/app/e2e/regression/settings-wsl.spec.ts

@@ -43,6 +43,27 @@ for (const mode of ["failed", "stopped", "ready"] as const) {
   })
 }
 
+test("adding a WSL server while the WSL extension is down shows that WSL is unavailable", async ({ page }) => {
+  await mockOpenCodeServer(page, {
+    directory: "/repo",
+    project: project({ id: "proj_wsl_unavailable", directory: "/repo", name: "WSL project" }),
+    provider: NO_PROVIDER,
+    sessions: [],
+    pageMessages: () => ({ items: [] }),
+  })
+  await page.goto(`/e2e/utils/settings-wsl.html?${new URLSearchParams({ server: SERVER, mode: "ready" })}`)
+  const settings = page.getByTestId("settings-screen")
+  await expect(settings.getByRole("tab", { name: "Ubuntu", exact: true })).toHaveCount(1)
+  await page.getByRole("checkbox", { name: "WSL extension" }).uncheck()
+
+  await settings.getByRole("button", { name: "Add server", exact: true }).press("Enter")
+  await page.getByRole("menuitem", { name: "Add WSL server", exact: true }).click()
+  const dialog = page.getByRole("dialog")
+  await expect(dialog.getByRole("heading", { name: "WSL unavailable", exact: true })).toBeVisible()
+  await expect(dialog.getByText("OpenCode could not verify WSL on this machine.", { exact: true })).toBeVisible()
+  await expect(dialog.getByText("WSL is unavailable", { exact: true })).toBeVisible()
+})
+
 test("an open session's terminal follows its WSL server to the endpoint it restarts on", async ({ page }) => {
   const restarted = "http://127.0.0.1:4098"
   const directory = "/home/ubuntu/project"
@@ -131,6 +152,50 @@ test("WSL session and draft tabs outlive the extension going away until the serv
   await expect(tabs).toHaveCount(0)
 })
 
+test("an SSH host that asks for sign-in again opens the dialog once per selected tab", async ({ page }) => {
+  const directory = "/home/box/project"
+  const box = session({ id: "ses_ssh_offer", directory, title: "SSH offer session" })
+  const config = {
+    directory,
+    project: project({ id: "proj_ssh_offer", directory }),
+    provider: provider(),
+    sessions: [box],
+    pageMessages: () => ({ items: [] }),
+  }
+  await mockServers(page, { [SERVER]: { ...config, sessions: [] }, [REMOTE_SERVER]: config })
+  const path = `/server/${base64Encode("ssh:box")}/session/${box.id}`
+  await page.goto(
+    `/e2e/utils/settings-wsl.html?${new URLSearchParams({ server: SERVER, mode: "ready", ssh: REMOTE_SERVER, path })}`,
+  )
+  await expectSessionTitle(page, box.title)
+  const connects = page.getByLabel("SSH connects")
+  const signIn = page.getByRole("button", { name: "Require SSH sign-in" })
+  const authenticate = page.getByRole("button", { name: "Authenticate", exact: true })
+
+  // The first request on the tab opens sign-in by itself; the fixture's host connects without a prompt.
+  await signIn.click()
+  await expect(connects).toHaveText("1")
+  await expectSessionTitle(page, box.title)
+  // A later request on the same tab only offers the button.
+  await signIn.click()
+  await expect(authenticate).toBeVisible()
+  await expect(connects).toHaveText("1")
+  await authenticate.click()
+  await expect(connects).toHaveText("2")
+  await expectSessionTitle(page, box.title)
+
+  // Another tab selected and this one selected again is a new selection, even while the host was ready.
+  const tabs = page.locator("a[data-titlebar-tab-link]")
+  await page.getByRole("button", { name: "New session", exact: true }).click()
+  await expect(tabs).toHaveCount(2)
+  await expect(tabs.nth(1)).toHaveAttribute("href", /^\/new-session\?draftId=/)
+  await expect(page.getByRole("heading", { name: box.title })).toHaveCount(0)
+  await tabs.nth(0).click()
+  await expectSessionTitle(page, box.title)
+  await signIn.click()
+  await expect(connects).toHaveText("3")
+})
+
 test("an open session moves to the controller a new SSH sign-in creates", async ({ page }) => {
   const directory = "/home/box/project"
   const model = { id: "box-model", name: "Box Model" }

packages/app/e2e/regression/settings.spec.ts

@@ -1,7 +1,7 @@
 import { expect, test, type Page } from "@playwright/test"
 import type { ConfigEntry, OpenCodeEvent, WorktreeDirectory } from "@opencode/client/promise"
 import { NO_PROVIDER, REMOTE_SERVER, SERVER, holdRoute, project, session } from "../utils/app"
-import { mockRemoteServer, openSettings, type WorkspaceInput } from "../utils/workspace"
+import { mockRemoteServer, mockWorkspace, openSettings, type WorkspaceInput } from "../utils/workspace"
 
 const directory = "C:/Projects/settings-demo"
 const projectID = "proj_settings_demo"
@@ -65,6 +65,20 @@ test("settings has its own route and returns through app history", async ({ page
   await expect(settings).toBeHidden()
 })
 
+test("Ctrl+, opens settings as soon as the app loads", async ({ page }) => {
+  await mockWorkspace(page, {
+    name: "Settings demo",
+    directory,
+    provider: NO_PROVIDER,
+    sessions: [],
+    seed: { tabs: [] },
+  })
+  await page.goto("/")
+  await page.keyboard.press("Control+,")
+  await expect(page.getByTestId("settings-screen")).toBeVisible()
+  await expect(page).toHaveURL("/settings")
+})
+
 test("a settings page survives refresh", async ({ page }) => {
   const { settings } = await open(page)
   const appearance = settings.getByRole("tab", { name: "Appearance", exact: true })

packages/app/e2e/regression/side-panels.spec.ts

@@ -200,9 +200,11 @@ test("terminal stacks under review by default and spans the bottom when configur
   await expect
     .poll(() =>
       page.evaluate(() => {
-        const review = document.querySelector("#review-panel")!.getBoundingClientRect()
-        const terminal = document.querySelector("#terminal-panel")!.getBoundingClientRect()
-        const sidebar = document.querySelector('#review-panel [data-slot="session-review-v2-sidebar"]')!
+        const review = document.querySelector("#review-panel")?.getBoundingClientRect()
+        const terminal = document.querySelector("#terminal-panel")?.getBoundingClientRect()
+        const sidebar = document.querySelector('#review-panel [data-slot="session-review-v2-sidebar"]')
+        // The side region appears before its lazy review content after reload.
+        if (!review || !terminal || !sidebar) return false
         const gap = terminal.top - review.bottom
         return (
           terminal.left <= 9 &&

packages/app/e2e/regression/timeline-stream.spec.ts

@@ -543,6 +543,26 @@ test.describe("Working", () => {
     await expect(working).toHaveCount(0)
   })
 
+  test("keeps Working instead of Used 1 Thought while reasoning is the only activity", async ({ page }) => {
+    const timeline = await setupTimeline(page, {
+      messages: [
+        userMessage(),
+        assistantMessage([reasoningPart("prt_only_thought", "Still considering the answer.")], { completed: false }),
+      ],
+      settings: { timelineDetail: detailed },
+    })
+    const working = page.locator('[data-component="session-working"]')
+    const group = page.locator('[data-component="collapsed-tool-group"]')
+    await expect(working).toBeVisible()
+    await expect(group).toHaveCount(0)
+    await expect(page.getByRole("button", { name: "Used 1 Thought" })).toHaveCount(0)
+
+    await timeline.send(partUpdated(toolPart("prt_after_thought", "read", "running", { filePath: "package.json" })))
+    await expect(group).toBeVisible()
+    await expect(group).toHaveAttribute("data-timeline-part-ids", `${assistantID}:reasoning:0,prt_after_thought`)
+    await expect(working).toBeVisible()
+  })
+
   for (const name of ["shell", "patch", "subagent"] as const) {
     test(`hides Working during ${name} input and execution, then restores it on completion`, async ({ page }) => {
       const timeline = await setupTimeline(page, {

packages/app/e2e/utils/mock-api.ts

@@ -169,6 +169,7 @@ const Group = HttpApiGroup.make("mock")
   )
   .add(HttpApiEndpoint.get("formRequests", "/api/form", { success: Json }))
   .add(HttpApiEndpoint.get("vcs", "/api/vcs", { success: Json }))
+  .add(HttpApiEndpoint.post("vcsInit", "/api/vcs/init", { success: NoContent, error: Unsupported }))
   .add(HttpApiEndpoint.get("vcsStatus", "/api/vcs/status", { success: Json }))
   .add(HttpApiEndpoint.get("vcsBranches", "/api/vcs/branch", { success: Json }))
   .add(HttpApiEndpoint.get("vcsDiff", "/api/vcs/diff", { query: Query, success: Json }))

packages/app/e2e/utils/mock-server.ts

@@ -43,6 +43,8 @@ export interface MockServerConfig {
     cursor?: string
   }
   vcs?: { current: string; default: string }
+  // Initializes the mock project's VCS; without a handler this mutation answers 501.
+  onVcsInit?: (input: { directory: string; provider?: string }) => void
   vcsDiff?: unknown[] | ((input: { mode?: string }) => unknown[])
   // Benchmark latency only. Tests hold message pages with `beforeMessagesResponse`.
   messageDelay?: number
@@ -817,6 +819,24 @@ function mockHandlers(
             location: location(config),
             data: { branch: config.vcs ?? { current: "main", default: "main" } },
           }),
+        vcsInit: (ctx) => {
+          if (!config.onVcsInit) return unsupported("initialize VCS", "onVcsInit")
+          return Effect.sync(() => {
+            const url = new URL(ctx.request.url, "http://localhost")
+            const provider = url.searchParams.get("provider") ?? undefined
+            config.onVcsInit?.({ directory: requestDirectory(config, ctx.request), provider })
+            const project = config.project as { id: string; vcs?: string }
+            project.vcs = provider ?? "git"
+            state.emit([
+              {
+                id: "evt_vcs_initialized",
+                type: "worktree.updated",
+                created: Date.now(),
+                data: { projectID: project.id },
+              },
+            ])
+          }).pipe(Effect.andThen(noContent))
+        },
         vcsStatus: () => Effect.succeed({ location: location(config), data: [] }),
         vcsBranches: () => Effect.succeed({ location: location(config), data: ["main"] }),
         vcsDiff: (ctx) =>

packages/app/e2e/utils/settings-wsl.fixture.tsx

@@ -10,9 +10,10 @@ import { PlatformProvider, type Platform } from "../../src/runtime/platform/plat
 import { ServerConnection } from "../../src/runtime/server/registry"
 import { useExtensionServers } from "../../src/runtime/extension/servers"
 
-// `wsl` is the Ubuntu server's endpoint (default `server`); updating OpenCode restarts it on `restart` (default `wsl`).
-// `ssh` adds a saved SSH server `box`, ready on that endpoint with password `ssh-1`; each connect brings up a new
-// remote server with the next password (`ssh-2`, ...).
+// A desktop window. `wsl` is the Ubuntu server's endpoint (default `server`); updating OpenCode restarts it on `restart`
+// (default `wsl`). `ssh` adds a saved SSH server `box`, ready on that endpoint with password `ssh-1`; each connect
+// brings up a new remote server with the next password (`ssh-2`, ...). `storage=async` stores in localStorage behind
+// asynchronous reads like the desktop app's; reads of keys containing `hold` wait for "Load held storage".
 export function mount(input: {
   server: string
   mode: "failed" | "stopped" | "ready"
@@ -20,6 +21,8 @@ export function mount(input: {
   restart?: string | null
   path?: string | null
   ssh?: string | null
+  storage?: string | null
+  hold?: string | null
 }) {
   const root = document.getElementById("root")
   if (!root) throw new Error("Missing fixture root")
@@ -27,14 +30,28 @@ export function mount(input: {
   history.set({ value: input.path ?? "/settings", replace: true, scroll: false })
   const endpoint = { url: input.wsl ?? input.server }
   const ready = () => ({ kind: "ready" as const, url: endpoint.url, password: null })
+  const held = Promise.withResolvers<void>()
+  const storage = (name?: string) => {
+    const item = (key: string) => (name ? `${name}:${key}` : key)
+    return {
+      getItem: async (key: string) => {
+        if (input.hold && key.includes(input.hold)) await held.promise
+        return localStorage.getItem(item(key))
+      },
+      setItem: async (key: string, value: string) => localStorage.setItem(item(key), value),
+      removeItem: async (key: string) => localStorage.removeItem(item(key)),
+    }
+  }
   render(() => {
     const [store, setStore] = createStore<{
       calls: string[]
+      connects: number
       available: boolean
       state: WslServersState
       ssh: SshState
     }>({
       calls: [],
+      connects: 0,
       available: true,
       ssh: {
         revision: 0,
@@ -95,7 +112,6 @@ export function mount(input: {
         revision: state.revision + 1,
         servers: state.servers.map((server) => ({ ...server, ...item })),
       }))
-    const connects = { count: 1 }
     const methods: Record<string, Record<string, (input: { id?: string; name?: string }) => unknown>> = {
       wsl: {
         // Like main: stops the distro's server, updates OpenCode, then starts the server again on a new endpoint.
@@ -126,8 +142,8 @@ export function mount(input: {
       ssh: {
         // Like main: a connect opens a new tunnel to a remote server with a new password.
         start() {
-          connects.count += 1
-          setSsh({ stage: "ready", http: { url: input.ssh ?? "", password: `ssh-${connects.count}` } })
+          setStore("connects", (count) => count + 1)
+          setSsh({ stage: "ready", http: { url: input.ssh ?? "", password: `ssh-${store.connects + 1}` } })
           return store.ssh.revision
         },
       },
@@ -175,6 +191,7 @@ export function mount(input: {
       notify: async () => undefined,
       restart: unused,
       extensions: bridge,
+      ...(input.storage === "async" ? { storage } : {}),
     }
     function Interface() {
       const extensions = useExtensionServers()
@@ -221,6 +238,22 @@ export function mount(input: {
             >
               Drop SSH tunnel
             </button>
+            {/* A background reconnect that needs a password, as main reports it to every window. */}
+            <button
+              type="button"
+              onClick={() => {
+                setSsh({ stage: "authentication" })
+                publish("ssh")
+              }}
+            >
+              Require SSH sign-in
+            </button>
+            <output aria-label="SSH connects">{store.connects}</output>
+          </Show>
+          <Show when={input.hold}>
+            <button type="button" onClick={() => held.resolve()}>
+              Load held storage
+            </button>
           </Show>
           <Interface />
         </AppBaseProviders>

packages/app/e2e/utils/settings-wsl.html

@@ -15,6 +15,8 @@
         restart: query.get("restart"),
         path: query.get("path"),
         ssh: query.get("ssh"),
+        storage: query.get("storage"),
+        hold: query.get("hold"),
       })
     </script>
   </body>

packages/app/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@opencode/app",
-  "version": "2.0.21",
+  "version": "2.0.22",
   "description": "",
   "type": "module",
   "exports": {

packages/app/src/composer/editor/editor.tsx

@@ -30,14 +30,7 @@ import type { Upload } from "../attachments/uploads"
 import { CommentCard } from "@opencode/session-ui/comment-card"
 import { typeLabel } from "@opencode/session-ui/message-file"
 import { Skill } from "@opencode/schema/skill"
-import type {
-  ComposerAttachment,
-  ComposerComment,
-  ComposerOption,
-  ComposerPersistedState,
-  ComposerPrompt,
-  ComposerSuggestion,
-} from "../types"
+import type { ComposerAttachment, ComposerComment, ComposerOption, ComposerPrompt, ComposerSuggestion } from "../types"
 import type { ComposerEditorModel, ComposerSelectControl } from "./interaction"
 import { isAttachment } from "../prompt-parts"
 import "../attachments/attachments.css"

packages/app/src/composer/model.ts

@@ -448,8 +448,8 @@ function openComment(
       })
     })
   }
-  // The extension that owns the comment's origin reveals it (the review diff or a file tab).
-  links.open({ href: item.path, origin: item.commentOrigin, exact: true, session })
+  // The extension that owns the comment's origin reveals it (the review diff or a file tab), keeping the conversation.
+  links.open({ href: item.path, origin: item.commentOrigin, exact: true, background: true, session })
   if (item.commentOrigin === "review") return queueFocus()
   void Promise.resolve(files.load(item.path)).finally(() => queueFocus())
 }