release: v2.0.19

.github/workflows/publish.yml

@@ -662,7 +662,7 @@ jobs:
     needs:
       - version
       - publish
-    if: ${{ !cancelled() && github.repository == 'anomalyco/opencode' && github.ref_name == 'v2' && needs.version.outputs.release && needs.publish.result == 'success' }}
+    if: github.repository == 'anomalyco/opencode' && github.ref_name == 'v2' && needs.version.outputs.release && needs.publish.result == 'success'
     runs-on: blacksmith-4vcpu-ubuntu-2404
     steps:
       # Unlike dev, V2 publishes a tag rather than a GitHub Release event.

bun.lock

@@ -32,7 +32,7 @@
     },
     "packages/ai": {
       "name": "@opencode/ai",
-      "version": "2.0.20",
+      "version": "2.0.19",
       "dependencies": {
         "@aws-sdk/credential-providers": "3.1057.0",
         "@opencode/schema": "workspace:*",
@@ -54,7 +54,7 @@
     },
     "packages/app": {
       "name": "@opencode/app",
-      "version": "2.0.20",
+      "version": "2.0.19",
       "dependencies": {
         "@corvu/drawer": "catalog:",
         "@dnd-kit/abstract": "0.5.0",
@@ -112,7 +112,7 @@
     },
     "packages/cli": {
       "name": "@opencode/cli",
-      "version": "2.0.20",
+      "version": "2.0.19",
       "bin": {
         "opencode": "./bin/opencode.cjs",
         "opencode2": "./bin/opencode2.cjs",
@@ -178,7 +178,7 @@
     },
     "packages/client": {
       "name": "@opencode/client",
-      "version": "2.0.20",
+      "version": "2.0.19",
       "dependencies": {
         "@opencode/protocol": "workspace:*",
         "@opencode/schema": "workspace:*",
@@ -204,7 +204,7 @@
     },
     "packages/codemode": {
       "name": "@opencode/codemode",
-      "version": "2.0.20",
+      "version": "2.0.19",
       "dependencies": {
         "acorn": "8.15.0",
         "effect": "catalog:",
@@ -217,7 +217,7 @@
     },
     "packages/console/app": {
       "name": "@opencode/console-app",
-      "version": "2.0.20",
+      "version": "2.0.19",
       "dependencies": {
         "@cloudflare/vite-plugin": "1.15.2",
         "@ibm/plex": "6.4.1",
@@ -253,7 +253,7 @@
     },
     "packages/console/core": {
       "name": "@opencode/console-core",
-      "version": "2.0.20",
+      "version": "2.0.19",
       "dependencies": {
         "@aws-sdk/client-sts": "3.782.0",
         "@jsx-email/render": "1.1.1",
@@ -280,7 +280,7 @@
     },
     "packages/console/function": {
       "name": "@opencode/console-function",
-      "version": "2.0.20",
+      "version": "2.0.19",
       "dependencies": {
         "@openauthjs/openauth": "0.0.0-20250322224806",
         "@opencode/console-core": "workspace:*",
@@ -297,7 +297,7 @@
     },
     "packages/console/mail": {
       "name": "@opencode/console-mail",
-      "version": "2.0.20",
+      "version": "2.0.19",
       "dependencies": {
         "@jsx-email/all": "2.2.3",
         "@jsx-email/cli": "1.4.3",
@@ -321,7 +321,7 @@
     },
     "packages/console/support": {
       "name": "@opencode/console-support",
-      "version": "2.0.20",
+      "version": "2.0.19",
       "dependencies": {
         "@cloudflare/vite-plugin": "1.15.2",
         "@opencode/console-core": "workspace:*",
@@ -341,7 +341,7 @@
     },
     "packages/core": {
       "name": "@opencode/core",
-      "version": "2.0.20",
+      "version": "2.0.19",
       "dependencies": {
         "@ai-sdk/cohere": "3.0.27",
         "@ai-sdk/gateway": "3.0.104",
@@ -377,7 +377,6 @@
         "https-proxy-agent": "7.0.6",
         "ignore": "7.0.5",
         "immer": "11.1.4",
-        "jose": "6.0.11",
         "jsonc-parser": "3.3.1",
         "mime-types": "3.0.2",
         "tree-sitter-bash": "0.25.0",
@@ -410,7 +409,7 @@
     },
     "packages/desktop": {
       "name": "@opencode/desktop",
-      "version": "2.0.20",
+      "version": "2.0.19",
       "dependencies": {
         "@zip.js/zip.js": "2.7.62",
         "electron-context-menu": "5.0.0",
@@ -440,7 +439,7 @@
         "drizzle-kit": "catalog:",
         "drizzle-orm": "catalog:",
         "effect": "catalog:",
-        "electron": "44.4.5",
+        "electron": "44.4.3",
         "electron-builder": "26.15.7",
         "electron-vite": "6.0.0-beta.1",
         "puppeteer-core": "25.9.0",
@@ -459,7 +458,7 @@
     },
     "packages/enterprise": {
       "name": "@opencode/enterprise",
-      "version": "2.0.20",
+      "version": "2.0.19",
       "dependencies": {
         "@hono/standard-validator": "catalog:",
         "@opencode-ai/sdk": "1.18.21",
@@ -496,7 +495,7 @@
     },
     "packages/function": {
       "name": "@opencode/function",
-      "version": "2.0.20",
+      "version": "2.0.19",
       "dependencies": {
         "@octokit/auth-app": "8.0.1",
         "@octokit/rest": "catalog:",
@@ -512,7 +511,7 @@
     },
     "packages/http-recorder": {
       "name": "@opencode/http-recorder",
-      "version": "2.0.20",
+      "version": "2.0.19",
       "dependencies": {
         "@effect/platform-node-shared": "4.0.0-rc.112",
       },
@@ -531,7 +530,7 @@
     },
     "packages/httpapi-codegen": {
       "name": "@opencode/httpapi-codegen",
-      "version": "2.0.20",
+      "version": "2.0.19",
       "dependencies": {
         "effect": "catalog:",
         "prettier": "3.6.2",
@@ -544,7 +543,7 @@
     },
     "packages/latex": {
       "name": "@opencode/latex",
-      "version": "2.0.20",
+      "version": "2.0.19",
       "dependencies": {
         "@opencode/plugin": "workspace:*",
         "@opentui/core": "catalog:",
@@ -558,7 +557,7 @@
     },
     "packages/merman": {
       "name": "@opencode/merman",
-      "version": "2.0.20",
+      "version": "2.0.19",
       "dependencies": {
         "@opencode/plugin": "workspace:*",
         "@opentui/core": "catalog:",
@@ -573,7 +572,7 @@
     },
     "packages/plugin": {
       "name": "@opencode/plugin",
-      "version": "2.0.20",
+      "version": "2.0.19",
       "dependencies": {
         "@ai-sdk/provider": "3.0.8",
         "@opencode/ai": "workspace:*",
@@ -599,8 +598,8 @@
       },
       "peerDependencies": {
         "@opencode/theme": "workspace:*",
-        "@opentui/core": ">=0.5.14",
-        "@opentui/solid": ">=0.5.14",
+        "@opentui/core": ">=0.5.12",
+        "@opentui/solid": ">=0.5.12",
         "solid-js": ">=1.9.0",
       },
       "optionalPeers": [
@@ -612,7 +611,7 @@
     },
     "packages/plugin-browser": {
       "name": "@opencode/plugin-browser",
-      "version": "2.0.20",
+      "version": "2.0.19",
       "dependencies": {
         "@opencode/plugin": "workspace:*",
         "@opencode/schema": "workspace:*",
@@ -642,7 +641,7 @@
     },
     "packages/protocol": {
       "name": "@opencode/protocol",
-      "version": "2.0.20",
+      "version": "2.0.19",
       "dependencies": {
         "@opencode/schema": "workspace:*",
         "effect": "catalog:",
@@ -657,7 +656,7 @@
     },
     "packages/schema": {
       "name": "@opencode/schema",
-      "version": "2.0.20",
+      "version": "2.0.19",
       "dependencies": {
         "@standard-schema/spec": "catalog:",
         "effect": "catalog:",
@@ -681,7 +680,7 @@
     },
     "packages/sdk": {
       "name": "@opencode/sdk",
-      "version": "2.0.20",
+      "version": "2.0.19",
       "dependencies": {
         "@opencode/client": "workspace:*",
         "@opencode/core": "workspace:*",
@@ -702,7 +701,7 @@
     },
     "packages/server": {
       "name": "@opencode/server",
-      "version": "2.0.20",
+      "version": "2.0.19",
       "dependencies": {
         "@effect/platform-node": "catalog:",
         "@effect/platform-node-shared": "catalog:",
@@ -724,7 +723,7 @@
     },
     "packages/session-ui": {
       "name": "@opencode/session-ui",
-      "version": "2.0.20",
+      "version": "2.0.19",
       "dependencies": {
         "@kobalte/core": "catalog:",
         "@opencode/client": "workspace:*",
@@ -759,7 +758,7 @@
     },
     "packages/simulation": {
       "name": "@opencode/simulation",
-      "version": "2.0.20",
+      "version": "2.0.19",
       "dependencies": {
         "@opencode/ai": "workspace:*",
         "@opencode/core": "workspace:*",
@@ -779,7 +778,7 @@
     },
     "packages/stats/app": {
       "name": "@opencode/stats-app",
-      "version": "2.0.20",
+      "version": "2.0.19",
       "dependencies": {
         "@ibm/plex": "6.4.1",
         "@kobalte/core": "catalog:",
@@ -813,7 +812,7 @@
     },
     "packages/stats/core": {
       "name": "@opencode/stats-core",
-      "version": "2.0.20",
+      "version": "2.0.19",
       "dependencies": {
         "@aws-sdk/client-athena": "3.933.0",
         "@planetscale/database": "1.19.0",
@@ -832,7 +831,7 @@
     },
     "packages/stats/server": {
       "name": "@opencode/stats-server",
-      "version": "2.0.20",
+      "version": "2.0.19",
       "dependencies": {
         "@aws-sdk/client-firehose": "3.933.0",
         "@effect/platform-node": "catalog:",
@@ -878,7 +877,7 @@
     },
     "packages/theme": {
       "name": "@opencode/theme",
-      "version": "2.0.20",
+      "version": "2.0.19",
       "dependencies": {
         "@opentui/core": "catalog:",
         "effect": "catalog:",
@@ -892,7 +891,7 @@
     },
     "packages/tui": {
       "name": "@opencode/tui",
-      "version": "2.0.20",
+      "version": "2.0.19",
       "dependencies": {
         "@opencode/client": "workspace:*",
         "@opencode/core": "workspace:*",
@@ -926,7 +925,7 @@
     },
     "packages/ui": {
       "name": "@opencode/ui",
-      "version": "2.0.20",
+      "version": "2.0.19",
       "dependencies": {
         "@kobalte/core": "catalog:",
         "@pierre/diffs": "catalog:",
@@ -961,7 +960,7 @@
     },
     "packages/util": {
       "name": "@opencode/util",
-      "version": "2.0.20",
+      "version": "2.0.19",
       "dependencies": {
         "@effect/opentelemetry": "catalog:",
         "@effect/platform-node": "catalog:",
@@ -999,7 +998,7 @@
     },
     "packages/web": {
       "name": "@opencode/web",
-      "version": "2.0.20",
+      "version": "2.0.19",
       "dependencies": {
         "@astrojs/cloudflare": "12.6.3",
         "@astrojs/markdown-remark": "6.3.1",
@@ -1040,7 +1039,7 @@
     },
     "services/update": {
       "name": "@opencode/update",
-      "version": "2.0.20",
+      "version": "2.0.19",
       "dependencies": {
         "jose": "6.0.11",
         "semver": "catalog:",
@@ -1117,10 +1116,10 @@
     "@npmcli/arborist": "9.4.0",
     "@octokit/rest": "22.0.0",
     "@openauthjs/openauth": "0.0.0-20250322224806",
-    "@opentui/core": "0.5.14",
-    "@opentui/keymap": "0.5.14",
-    "@opentui/solid": "0.5.14",
-    "@pierre/diffs": "1.5.1",
+    "@opentui/core": "0.5.12",
+    "@opentui/keymap": "0.5.12",
+    "@opentui/solid": "0.5.12",
+    "@pierre/diffs": "1.2.10",
     "@playwright/test": "1.59.1",
     "@sentry/solid": "10.71.0",
     "@sentry/vite-plugin": "5.4.0",
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+    "@opentui/solid": ["@opentui/solid@0.5.12", "", { "dependencies": { "@babel/core": "7.28.0", "@babel/preset-typescript": "7.27.1", "@opentui/core": "0.5.12", "babel-plugin-module-resolver": "5.0.2", "babel-preset-solid": "1.9.12", "entities": "7.0.1", "s-js": "^0.4.9" }, "peerDependencies": { "solid-js": "1.9.12" } }, "sha512-hAiVlVMtT7AkHGblKwcW1YAuXtxkSy1XSf/RRc4j3IlG3mTNX0bhJdnGOo3Xw14EqeZMp41Mcp5WzHAzMm/DzA=="],
 
     "@oslojs/asn1": ["@oslojs/asn1@1.0.0", "", { "dependencies": { "@oslojs/binary": "1.0.0" } }, "sha512-zw/wn0sj0j0QKbIXfIlnEcTviaCzYOY3V5rAyjR6YtOByFtJiT574+8p9Wlach0lZH9fddD4yb9laEAIl4vXQA=="],
 
@@ -2531,11 +2530,11 @@
 
     "@peculiar/webcrypto": ["@peculiar/webcrypto@1.7.1", "", { "dependencies": { "@peculiar/asn1-schema": "^2.7.0", "@peculiar/json-schema": "^1.1.12", "@peculiar/utils": "^2.0.2", "tslib": "^2.8.1", "webcrypto-core": "^1.9.2" } }, "sha512-ODOov0sGMJMf3jPonOkgGqPknTsu+DdQ7kD++gz8aI+aFMOMHFbWAA2taqXXVTdP+OTOQR/znGvSpmkeI0WTYQ=="],
 
-    "@pierre/diffs": ["@pierre/diffs@1.5.1", "", { "dependencies": { "@pierre/theme": "2.0.0", "@pierre/theming": "1.0.1", "@shikijs/transformers": "^3.0.0 || ^4.0.0", "diff": "9.0.0", "hast-util-to-html": "9.0.5", "lru_map": "0.4.1", "shiki": "^3.0.0 || ^4.0.0" }, "peerDependencies": { "react": "^18.3.1 || ^19.0.0", "react-dom": "^18.3.1 || ^19.0.0" }, "optionalPeers": ["react", "react-dom"] }, "sha512-+EXNfz4ZXI6FHr7P6ToWEORwyYiPVfAmzhA70xF+0y/oNvj7gbNTLJJ6jNzkBjuMbRlu564TAmgYZLc5OyHURA=="],
+    "@pierre/diffs": ["@pierre/diffs@1.2.10", "", { "dependencies": { "@pierre/theme": "1.0.3", "@pierre/theming": "0.0.1", "@shikijs/transformers": "^3.0.0 || ^4.0.0", "diff": "8.0.3", "hast-util-to-html": "9.0.5", "lru_map": "0.4.1", "shiki": "^3.0.0 || ^4.0.0" }, "peerDependencies": { "react": "^18.3.1 || ^19.0.0", "react-dom": "^18.3.1 || ^19.0.0" } }, "sha512-rPeAmDWarxFVTQpaf4y6wTxjZxU44xKJKoJti2zU21P06DVd9nRHZX+xSIObLB307Qjpaesyb1x/j0z94t7vLw=="],
 
-    "@pierre/theme": ["@pierre/theme@2.0.0", "", {}, "sha512-yNDd9GYLQl1mEUJR8AneJ5e4ohLIHQd/wZLWr4fagt78vS2RwwZNW530vVgHqXFAyFVcFlRmGUD5ramXH46OXw=="],
+    "@pierre/theme": ["@pierre/theme@1.0.3", "", {}, "sha512-sWHv11TMoqKxKDgTIk5VbhQjdPhs8DCcBxbjh3mRlS3YOM/OcrWoGX6MM8eBGn9cUu3M46Py0JnxsG2nJaFTuA=="],
 
-    "@pierre/theming": ["@pierre/theming@1.0.1", "", { "peerDependencies": { "@pierre/theme": "^1.1.0 || ^2.0.0", "@shikijs/themes": "^3.0.0 || ^4.0.0", "react": "^18.3.1 || ^19.0.0", "react-dom": "^18.3.1 || ^19.0.0", "shiki": "^3.0.0 || ^4.0.0" }, "optionalPeers": ["@pierre/theme", "@shikijs/themes", "react", "react-dom", "shiki"] }, "sha512-WCI5Qd7iprDpISL9fBYOLe8RV53+b7mFNA3bPzl60/2CKCSrsKN8zEcep6Y3BAzvARlmca50zGjDodqPGiTUKA=="],
+    "@pierre/theming": ["@pierre/theming@0.0.1", "", { "peerDependencies": { "@pierre/theme": "^1.0.0", "@shikijs/themes": "^3.0.0 || ^4.0.0", "react": "^18.3.1 || ^19.0.0", "react-dom": "^18.3.1 || ^19.0.0", "shiki": "^3.0.0 || ^4.0.0" }, "optionalPeers": ["@pierre/theme", "@shikijs/themes", "react", "react-dom", "shiki"] }, "sha512-1thlEtJbqdyLzc1ZS2KQa1q7FzDGHT4dTEdKHoyQjOMeWWOmbVG5/ndEfOKfAb5Fzkz8cNJrOjFLiZoDH/A03A=="],
 
     "@pierre/trees": ["@pierre/trees@1.0.0-beta.4", "", { "dependencies": { "preact": "11.0.0-beta.0", "preact-render-to-string": "6.6.5" }, "peerDependencies": { "react": "^18.3.1 || ^19.0.0", "react-dom": "^18.3.1 || ^19.0.0" } }, "sha512-OfT1yk9ne8Te5+GB5zUY8yqE6B8BqjBHQJleH4lu8ltwNpoocZl4vXt1AzlEExpxI/pp+AFX5QG+lR3JjtTEag=="],
 
@@ -3871,7 +3870,7 @@
 
     "ejs": ["ejs@3.1.10", "", { "dependencies": { "jake": "^10.8.5" }, "bin": { "ejs": "bin/cli.js" } }, "sha512-UeJmFfOrAQS8OJWPZ4qtgHyWExa088/MtK5UEyoJGFH67cDEXkZSviOiKRCZ4Xij0zxI3JECgYs3oKx+AizQBA=="],
 
-    "electron": ["electron@44.4.5", "", { "dependencies": { "@electron-internal/extract-zip": "^1.0.1", "@electron/get": "^5.0.0", "@types/node": "^24.9.0" }, "bin": { "electron": "cli.js", "install-electron": "install.js" } }, "sha512-SjgoaeYsSWZfJzubgQU7juvuXMTvn6/e1gAHdGFA/yuMbpF+I+skYqIJ6DdXBXHeWbkbpNpmwZCTpiivtlWZSw=="],
+    "electron": ["electron@44.4.3", "", { "dependencies": { "@electron-internal/extract-zip": "^1.0.1", "@electron/get": "^5.0.0", "@types/node": "^24.9.0" }, "bin": { "electron": "cli.js", "install-electron": "install.js" } }, "sha512-LTpSFTB40qVCXIX5xMo+cgHI/Jjkbjw7VpB26PccEbroqOn72LBukeaDwPVo1fBYzSzs0c9iPuAucFCO7Tw81Q=="],
 
     "electron-builder": ["electron-builder@26.15.7", "", { "dependencies": { "app-builder-lib": "26.15.7", "builder-util": "26.15.3", "builder-util-runtime": "9.7.0", "chalk": "^4.1.2", "ci-info": "^4.2.0", "dmg-builder": "26.15.7", "fs-extra": "^10.1.0", "lazy-val": "^1.0.5", "simple-update-notifier": "2.0.0", "yargs": "^17.6.2" }, "bin": { "electron-builder": "./cli.js", "install-app-deps": "./install-app-deps.js" } }, "sha512-DBpaNzxsPs1BvEblzFoNriSbzsBqDCy/gseIngeEhYzQG1IxfB7Hvc2tBBVmpWE2BTQGP9J1RrAvDT+Vc/uAxg=="],
 
@@ -6259,7 +6258,11 @@
 
     "@parcel/watcher/detect-libc": ["detect-libc@1.0.3", "", { "bin": { "detect-libc": "./bin/detect-libc.js" } }, "sha512-pGjwhsmsp4kL2RTz08wcOlGN83otlqHeD/Z5T8GXZB+/YcpQ/dgo+lbU8ZsGxV0HIvqqxo9l7mqYwyYMD9bKDg=="],
 
-    "@pierre/diffs/diff": ["diff@9.0.0", "", {}, "sha512-svtcdpS8CgJyqAjEQIXdb3OjhFVVYjzGAPO8WGCmRbrml64SPw/jJD4GoE98aR7r25A0XcgrK3F02yw9R/vhQw=="],
+    "@pierre/diffs/diff": ["diff@8.0.3", "", {}, "sha512-qejHi7bcSD4hQAZE0tNAawRK1ZtafHDmMTMkrrIGgSLl7hTnQHmKCeB45xAcbfTqK2zowkM3j3bHt/4b/ARbYQ=="],
+
+    "@pierre/diffs/react": ["react@19.2.8", "", {}, "sha512-PWaYA1L/q9u2u7xYQi+Y3L3Yfnie7XyLeaJICV1MGD6LprsBxcAqGjYyr0eY3p+QdsA+x/Irkt4Qif8D63+Sbw=="],
+
+    "@pierre/diffs/react-dom": ["react-dom@19.2.8", "", { "dependencies": { "scheduler": "^0.27.0" }, "peerDependencies": { "react": "^19.2.8" } }, "sha512-rVprimfGBG3DR+Tq0IQG2DT5PxKth1WIGDmj5yPmlzr4YBe7uyE+Du4oVqTDXZSHGGGXRtTJEGSSePyQCMBglQ=="],
 
     "@pierre/trees/react": ["react@19.2.8", "", {}, "sha512-PWaYA1L/q9u2u7xYQi+Y3L3Yfnie7XyLeaJICV1MGD6LprsBxcAqGjYyr0eY3p+QdsA+x/Irkt4Qif8D63+Sbw=="],
 
@@ -7157,6 +7160,8 @@
 
     "@oxc-resolver/binding-wasm32-wasi/@emnapi/core/@emnapi/wasi-threads": ["@emnapi/wasi-threads@1.2.2", "", { "dependencies": { "tslib": "^2.4.0" } }, "sha512-c95qOXkHdydNKhscBTebqEC1CVAZpyqOfVfBzQ1qgzyl3gfeldUjIggDbIZgDKsHLgnsM+igH7TJ/eAasaVuMA=="],
 
+    "@pierre/diffs/react-dom/scheduler": ["scheduler@0.27.0", "", {}, "sha512-eNv+WrVbKu1f3vbYJT/xtiF5syA5HPIMtf9IgY/nKg0sWqzAUEvqY/xm7OcZc/qafLx/iO9FgOmeSAp4v5ti/Q=="],
+
     "@pierre/trees/react-dom/scheduler": ["scheduler@0.27.0", "", {}, "sha512-eNv+WrVbKu1f3vbYJT/xtiF5syA5HPIMtf9IgY/nKg0sWqzAUEvqY/xm7OcZc/qafLx/iO9FgOmeSAp4v5ti/Q=="],
 
     "@puppeteer/browsers/yargs/cliui": ["cliui@9.0.1", "", { "dependencies": { "string-width": "^7.2.0", "strip-ansi": "^7.1.0", "wrap-ansi": "^9.0.0" } }, "sha512-k7ndgKhwoQveBL+/1tqGJYNz097I7WOvwbmmU2AR5+magtbjPWQTS1C5vzGkBC8Ym8UWRzfKUzUUqFLypY4Q+w=="],

package.json

@@ -2,7 +2,7 @@
   "$schema": "https://json.schemastore.org/package.json",
   "name": "opencode",
   "description": "AI-powered development tool",
-  "version": "2.0.20",
+  "version": "2.0.19",
   "private": true,
   "type": "module",
   "packageManager": "bun@1.4.2",
@@ -52,9 +52,9 @@
       "@octokit/rest": "22.0.0",
       "@hono/standard-validator": "0.2.0",
       "@hono/zod-validator": "0.4.2",
-      "@opentui/core": "0.5.14",
-      "@opentui/keymap": "0.5.14",
-      "@opentui/solid": "0.5.14",
+      "@opentui/core": "0.5.12",
+      "@opentui/keymap": "0.5.12",
+      "@opentui/solid": "0.5.12",
       "@tanstack/solid-virtual": "3.13.37",
       "@shikijs/stream": "4.4.3",
       "@standard-schema/spec": "1.1.0",
@@ -68,7 +68,7 @@
       "@tsconfig/bun": "1.0.9",
       "@cloudflare/workers-types": "4.20251008.0",
       "@openauthjs/openauth": "0.0.0-20250322224806",
-      "@pierre/diffs": "1.5.1",
+      "@pierre/diffs": "1.2.10",
       "opentui-spinner": "0.0.7",
       "@solid-primitives/event-listener": "2.4.6",
       "@solid-primitives/media": "2.3.6",

packages/ai/README.md

@@ -1203,22 +1203,12 @@ LLM.request({
 | ----------------------- | ------------------------------------------------------------------------- |
 | Anthropic Messages      | emits up to 4 `cache_control` markers (4-breakpoint cap enforced)         |
 | Bedrock Converse        | emits up to 4 `cachePoint` blocks (4-breakpoint cap enforced)             |
-| OpenRouter              | Anthropic/Qwen emit explicit markers; other families use upstream caching |
+| OpenRouter              | emits up to 4 `cache_control` markers                                     |
 | OpenAI Chat / Responses | no-op (implicit caching above 1024 tokens)                                |
 | Gemini                  | no-op (implicit caching on 2.5+; explicit `CachedContent` is out-of-band) |
 
 Normalized cache usage is read back into `response.usage.cacheReadInputTokens` and `cacheWriteInputTokens` across every provider.
 
-OpenRouter selects its wire API by model family: `openai/*`, `x-ai/*`, and `meta/*` use Responses; `anthropic/*` uses
-Anthropic Messages; other families use Chat Completions. All three Responses families share the existing OpenAI-shaped
-Responses implementation, including namespace tools and hosted-tool events; there are no per-vendor OpenRouter
-protocols. Leading-`~` model aliases follow the same routing. Explicit `openrouter.chat(id)`, `.responses(id)`, and
-`.messages(id)` selectors are available for API-specific integrations.
-Qwen retains Chat's explicit system/conversation cache markers, while Claude uses native Messages cache blocks.
-OpenRouter Responses is stateless (`store: false`); every request includes full history, not `previous_response_id`.
-Meta currently accepts only automatic tool selection on both its Chat and Responses upstreams; forced/disabled tool
-choices can be rejected by the provider.
-
 ## Providers
 
 Provider facades configure endpoint/auth/deployment details first, then expose model selectors that take only a model or deployment id. The selected model carries the executable route value used at runtime.

packages/ai/package.json

@@ -1,6 +1,6 @@
 {
   "$schema": "https://json.schemastore.org/package.json",
-  "version": "2.0.20",
+  "version": "2.0.19",
   "name": "@opencode/ai",
   "type": "module",
   "license": "MIT",

packages/ai/src/cache-policy.ts

@@ -38,31 +38,13 @@ 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-messages",
   "anthropic-messages",
   "anthropic-compatible-messages",
-  "cloudflare-ai-gateway-messages",
   "google-vertex-messages",
-  "meta-messages",
-  "minimax-messages",
-  "moonshot-messages",
-  "zai-coding-messages",
   "bedrock-converse",
   "openrouter",
-  "openrouter-messages",
 ])
 
-// 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 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 } }
-  return NONE
-}
-
 const makeHint = (ttlSeconds: number | undefined): CacheHint =>
   ttlSeconds !== undefined ? new CacheHint({ type: "ephemeral", ttlSeconds }) : new CacheHint({ type: "ephemeral" })
 
@@ -168,11 +150,9 @@ const countHints = (request: LLMRequest) =>
 
 export const applyCachePolicy = (request: LLMRequest): LLMRequest => {
   if (!RESPECTS_INLINE_HINTS.has(request.model.route.id)) return request
-  const policy =
-    (request.model.route.id === "openrouter" || request.model.route.id === "openrouter-messages") &&
-    (request.cache === undefined || request.cache === "auto")
-      ? openRouterPolicy(request.model.id)
-      : resolve(request.cache)
+  if (request.model.route.id === "openrouter" && (request.cache === undefined || request.cache === "auto"))
+    return request
+  const policy = resolve(request.cache)
   if (!policy.tools && !policy.system && !policy.messages) return request
 
   const hint = makeHint(policy.ttlSeconds)

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

@@ -29,7 +29,6 @@ import { JsonObject, knownString, optionalArray, optionalNull, ProviderShared }
 import { classifyProviderFailure } from "../provider-error.js"
 import { effortUpdate, resolveEffortUpdates } from "../effort-updates.js"
 import * as Cache from "./utils/cache.js"
-import { claudeVersion, supportsThinkingBlockBinding, THINKING_BINDING_BETA } from "./utils/claude-model.js"
 import { Lifecycle } from "./utils/lifecycle.js"
 import { ToolStream } from "./utils/tool-stream.js"
 
@@ -989,6 +988,22 @@ const lowerMessages = Effect.fn("AnthropicMessages.lowerMessages")(function* (
   return messages
 })
 
+// Accept gateway namespaces and Vertex suffixes without treating a snapshot date as a minor version.
+const claudeVersion = (id: string) => {
+  const match = /(?:^|[./])claude-(?<family>[a-z]+)-(?<major>\d+)(?:[.-](?<minor>\d{1,2}))?(?:$|[-:@])/.exec(
+    id.toLowerCase(),
+  )?.groups
+  if (!match) return undefined
+  return { family: match.family, major: Number(match.major), minor: Number(match.minor ?? 0) }
+}
+
+const supportsThinkingBlockBinding = (model: LLMRequest["model"]) => {
+  const override = model.compatibility?.supportsThinkingBlockBinding
+  if (override !== undefined) return override
+  const version = claudeVersion(model.id)
+  return version !== undefined && (version.major > 5 || (version.major === 5 && version.minor >= 1))
+}
+
 const supportsEffortUpdates = (model: LLMRequest["model"]) => {
   const override = model.compatibility?.supportsEffortUpdates
   if (override !== undefined) return override
@@ -1637,7 +1652,8 @@ function requiredBetaHeaders(body: Pick<AnthropicMessagesBody, "messages" | "con
     betas.push("mid-conversation-output-config-2026-07-01")
 
   const thinking = body.thinking
-  if (thinking && thinking.type !== "disabled" && thinking.block_binding) betas.push(THINKING_BINDING_BETA)
+  if (thinking && thinking.type !== "disabled" && thinking.block_binding)
+    betas.push("thinking-binding-controls-2026-08-01")
   return betas
 }
 

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

@@ -23,7 +23,6 @@ import { JsonObject, optionalArray, ProviderShared } from "./shared.js"
 import { BedrockAuth } from "./utils/bedrock-auth.js"
 import { BedrockCache } from "./utils/bedrock-cache.js"
 import { BedrockMedia } from "./utils/bedrock-media.js"
-import { supportsThinkingBlockBinding, THINKING_BINDING_BETA } from "./utils/claude-model.js"
 import { Lifecycle } from "./utils/lifecycle.js"
 import { MistralToolID } from "./utils/mistral-tool-id.js"
 import { ToolStream } from "./utils/tool-stream.js"
@@ -444,23 +443,6 @@ const decodeOptions = ProviderShared.validateWith(Schema.decodeUnknownEffect(Opt
 // Claude on Bedrock requires the thinking budget below `maxTokens`, with a minimum of 1,024.
 const MIN_THINKING_BUDGET = 1_024
 
-const isThinkingDisabled = Schema.is(
-  Schema.Struct({
-    additionalModelRequestFields: Schema.Struct({ thinking: Schema.Struct({ type: Schema.Literal("disabled") }) }),
-  }),
-)
-
-// Claude 5.1+ binds each thinking signature to the prefix above it. Ask Bedrock to drop the affected blocks instead of
-// failing when that prefix changes. `http.body` overlays this field by field, so callers can still override it.
-const applyThinkingBindingDefault = (request: LLMRequest, thinking: Readonly<Record<string, unknown>> | undefined) => {
-  if (isThinkingDisabled(request.http?.body)) return thinking
-  if (!supportsThinkingBlockBinding(request.model)) return thinking
-  return {
-    ...(thinking ?? { type: "adaptive" as const }),
-    block_binding: { prefix_mismatch_behavior: "drop_block" },
-  }
-}
-
 const fromRequest = Effect.fn("BedrockConverse.fromRequest")(function* (request: LLMRequest) {
   const toolChoice = request.toolChoice ? yield* lowerToolChoice(request.toolChoice) : undefined
   const flattened = ProviderShared.flattenToolRequest(request)
@@ -468,8 +450,7 @@ const fromRequest = Effect.fn("BedrockConverse.fromRequest")(function* (request:
   const options = yield* decodeOptions(request.providerOptions ?? {})
   const maxTokens =
     isNova2(request.model) && isHighReasoningEffort(request.http?.body) ? undefined : generation?.maxTokens
-  const thinking = applyThinkingBindingDefault(
-    request,
+  const thinking =
     options.thinking === undefined
       ? undefined
       : {
@@ -479,8 +460,7 @@ const fromRequest = Effect.fn("BedrockConverse.fromRequest")(function* (request:
             maxTokens,
             MIN_THINKING_BUDGET,
           ),
-        },
-  )
+        }
   // Bedrock-Claude shares Anthropic's 4-breakpoint cap. Spend the budget in
   // tools → system → messages order to favour the highest-impact prefixes.
   const breakpoints = BedrockCache.breakpoints(request.model.id)
@@ -529,8 +509,6 @@ const fromRequest = Effect.fn("BedrockConverse.fromRequest")(function* (request:
         : {
             ...(generation?.topK === undefined ? {} : { top_k: generation.topK }),
             ...(thinking === undefined ? {} : { thinking }),
-            // Converse takes Anthropic betas in the body, and Bedrock rejects `block_binding` without this one.
-            ...(thinking?.block_binding === undefined ? {} : { anthropic_beta: [THINKING_BINDING_BETA] }),
           },
   }
 })
@@ -577,7 +555,7 @@ interface ParserState {
   readonly hasToolCalls: boolean
   readonly lifecycle: Lifecycle.State
   readonly reasoningSignatures: Readonly<Record<number, string>>
-  readonly reasoningRedactedContent: Readonly<Record<number, Uint8Array[]>>
+  readonly reasoningRedactedContent: Readonly<Record<number, ReadonlyArray<Uint8Array>>>
 }
 
 const encodeRedactedContent = (chunks: ReadonlyArray<Uint8Array>) => Encoding.encodeBase64(concatBytes(chunks))
@@ -627,9 +605,10 @@ const step = (state: ParserState, event: BedrockEvent) =>
       const index = event.contentBlockDelta.contentBlockIndex
       const reasoning = event.contentBlockDelta.delta.reasoningContent
       const events: LLMEvent[] = []
-      const redactedChunk = yield* (() => {
+      const redactedChunks = yield* (() => {
         if (reasoning.redactedContent === undefined) return Effect.succeed(undefined)
         return Effect.fromResult(Encoding.decodeBase64(reasoning.redactedContent)).pipe(
+          Effect.map((chunk) => [...(state.reasoningRedactedContent[index] ?? []), chunk]),
           Effect.mapError((cause) =>
             ProviderShared.eventError(
               ADAPTER,
@@ -640,21 +619,17 @@ const step = (state: ParserState, event: BedrockEvent) =>
           ),
         )
       })()
-      const redactedChunks = state.reasoningRedactedContent[index] ?? []
-      if (redactedChunk !== undefined) redactedChunks.push(redactedChunk)
+      const redactedData = redactedChunks === undefined ? reasoning.data : encodeRedactedContent(redactedChunks)
       const metadata = (() => {
         if (reasoning.signature) return providerMetadata(state.providerMetadataKey, { signature: reasoning.signature })
-        if (redactedChunk === undefined && reasoning.data !== undefined)
-          return providerMetadata(state.providerMetadataKey, { redactedData: reasoning.data })
+        if (redactedData !== undefined) return providerMetadata(state.providerMetadataKey, { redactedData })
       })()
       const lifecycle = (() => {
-        if (reasoning.text !== undefined || metadata !== undefined)
-          return Lifecycle.reasoningDelta(state.lifecycle, events, `reasoning-${index}`, reasoning.text ?? "", metadata)
-        if (redactedChunk !== undefined) return Lifecycle.reasoningStart(state.lifecycle, events, `reasoning-${index}`)
-        return state.lifecycle
+        if (reasoning.text === undefined && metadata === undefined) return state.lifecycle
+        return Lifecycle.reasoningDelta(state.lifecycle, events, `reasoning-${index}`, reasoning.text ?? "", metadata)
       })()
       const reasoningRedactedContent = (() => {
-        if (redactedChunk !== undefined) return { ...state.reasoningRedactedContent, [index]: redactedChunks }
+        if (redactedChunks !== undefined) return { ...state.reasoningRedactedContent, [index]: redactedChunks }
         if (reasoning.data === undefined) return state.reasoningRedactedContent
         return Object.fromEntries(
           Object.entries(state.reasoningRedactedContent).filter(([key]) => key !== String(index)),
@@ -790,19 +765,7 @@ const onHalt = (state: ParserState): ReadonlyArray<LLMEvent> => {
     return state.finishReason.normalized
   })()
   const events: LLMEvent[] = []
-  const lifecycle = Object.entries(state.reasoningRedactedContent).reduce((current, [index, chunks]) => {
-    const signature = state.reasoningSignatures[Number(index)]
-    return Lifecycle.reasoningEnd(
-      current,
-      events,
-      `reasoning-${index}`,
-      providerMetadata(
-        state.providerMetadataKey,
-        signature ? { signature } : { redactedData: encodeRedactedContent(chunks) },
-      ),
-    )
-  }, state.lifecycle)
-  Lifecycle.finish(lifecycle, events, {
+  Lifecycle.finish(state.lifecycle, events, {
     reason: {
       ...state.finishReason,
       normalized,

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

@@ -10,19 +10,14 @@ const WebSearch = Schema.Struct({
   name: Schema.Literal("web_search"),
   user_location: MetaResponses.WebSearch.fields.user_location,
 })
-const MetaCacheControl = Schema.Struct({
-  type: Schema.tag("ephemeral"),
-  ttl: Schema.optional(Schema.Literals(["5m", "1h"])),
-})
-const FunctionTool = Schema.Struct({
-  name: Schema.String,
-  description: Schema.String,
-  input_schema: JsonObject,
-  cache_control: Schema.optional(MetaCacheControl),
-})
 const Body = Schema.Struct({
   ...AnthropicMessages.AnthropicMessagesBody.fields,
-  tools: optionalArray(Schema.Union([FunctionTool, WebSearch])),
+  tools: optionalArray(
+    Schema.Union([
+      Schema.Struct({ name: Schema.String, description: Schema.String, input_schema: JsonObject }),
+      WebSearch,
+    ]),
+  ),
 })
 
 const fromRequest = Effect.fn("MetaMessages.fromRequest")(function* (request: LLMRequest) {

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

@@ -426,7 +426,6 @@ interface ActiveContent {
   readonly type: "text" | "reasoning"
   readonly id: string
   readonly thinking?: MistralThinkingContent
-  readonly thinkingUnits?: MistralThinkingUnit[]
 }
 
 export interface ParserState {
@@ -503,8 +502,8 @@ const closeActive = (state: ParserState, events: LLMEvent[]) => {
           state.lifecycle,
           events,
           state.active.id,
-          thinkingMetadata({ ...state.active.thinking, type: "thinking", thinking: state.active.thinkingUnits ?? [] }),
-          thinkingText(state.active.thinkingUnits ?? []),
+          thinkingMetadata(state.active.thinking ?? { type: "thinking", thinking: [] }),
+          thinkingText(state.active.thinking?.thinking ?? []),
         )
   return { ...state, lifecycle, active: undefined }
 }
@@ -525,23 +524,20 @@ const appendThinking = (state: ParserState, events: LLMEvent[], part: MistralOut
   const current = state.active?.type === "reasoning" ? state : closeActive(state, events)
   const units = thinkingUnits(part.thinking)
   const active = current.active ?? { type: "reasoning" as const, id: `reasoning-${current.nextContent}` }
-  // Keep native units out of streamed events until the block is complete.
-  const accumulated = active.thinkingUnits ?? []
-  accumulated.push(...units)
   const thinking = {
     ...active.thinking,
     ...part,
     type: "thinking" as const,
-    thinking: [],
+    thinking: [...(active.thinking?.thinking ?? []), ...units],
   }
   const text = thinkingText(units)
   return {
     ...current,
     lifecycle:
       text.length > 0
-        ? Lifecycle.reasoningDelta(current.lifecycle, events, active.id, text)
-        : Lifecycle.reasoningStart(current.lifecycle, events, active.id),
-    active: { ...active, thinking, thinkingUnits: accumulated },
+        ? Lifecycle.reasoningDelta(current.lifecycle, events, active.id, text, thinkingMetadata(thinking))
+        : Lifecycle.reasoningStart(current.lifecycle, events, active.id, thinkingMetadata(thinking)),
+    active: { ...active, thinking },
     nextContent: current.active ? current.nextContent : current.nextContent + 1,
   }
 }

packages/ai/src/protocols/open-responses.ts

@@ -163,7 +163,7 @@ export const CompactionItem = Schema.Struct({
   encrypted_content: Schema.String,
 })
 
-// Kept out of the baseline `InputItem` union; extensions such as OpenAI and OpenRouter opt in.
+// Kept out of the baseline `InputItem` union: only the OpenAI extension accepts it.
 export const ConfigurationUpdate = Schema.Struct({
   type: Schema.Literal("configuration_update"),
   reasoning: Schema.Struct({ effort: OpenResponsesOptions.ReasoningEffort }),
@@ -298,22 +298,18 @@ const OpenResponsesBody = Schema.Struct({
 })
 export type OpenResponsesBody = Schema.Schema.Type<typeof OpenResponsesBody>
 
-// Retain gateway billing extensions in provider metadata without changing normalized token accounting.
-export const OpenResponsesUsage = Schema.StructWithRest(
-  Schema.Struct({
-    input_tokens: Schema.optional(Schema.Number),
-    input_tokens_details: optionalNull(
-      Schema.Struct({
-        cached_tokens: Schema.optional(Schema.Number),
-        cache_write_tokens: Schema.optional(Schema.Number),
-      }),
-    ),
-    output_tokens: Schema.optional(Schema.Number),
-    output_tokens_details: optionalNull(Schema.Struct({ reasoning_tokens: Schema.optional(Schema.Number) })),
-    total_tokens: Schema.optional(Schema.Number),
-  }),
-  [Schema.Record(Schema.String, Schema.Unknown)],
-)
+export const OpenResponsesUsage = Schema.Struct({
+  input_tokens: Schema.optional(Schema.Number),
+  input_tokens_details: optionalNull(
+    Schema.Struct({
+      cached_tokens: Schema.optional(Schema.Number),
+      cache_write_tokens: Schema.optional(Schema.Number),
+    }),
+  ),
+  output_tokens: Schema.optional(Schema.Number),
+  output_tokens_details: optionalNull(Schema.Struct({ reasoning_tokens: Schema.optional(Schema.Number) })),
+  total_tokens: Schema.optional(Schema.Number),
+})
 type OpenResponsesUsage = Schema.Schema.Type<typeof OpenResponsesUsage>
 
 // The spec requires `id` on every output item, but some gateways drop it from

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

@@ -20,6 +20,7 @@ import {
   type LLMRequest,
   type MediaPart,
   type ReasoningPart,
+  type TextPart,
   type ToolCallPart,
   type ToolDefinition,
 } from "../schema/index.js"
@@ -44,7 +45,6 @@ const OpenAIChatCacheControl = Schema.Struct({
   type: Schema.Literal("ephemeral"),
   ttl: Schema.optional(Schema.String),
 })
-type OpenAIChatCacheControl = Schema.Schema.Type<typeof OpenAIChatCacheControl>
 
 const OpenAIChatFunction = Schema.Struct({
   name: Schema.String,
@@ -121,15 +121,12 @@ const decodeReasoningDetail = Schema.decodeUnknownOption(ReasoningDetail)
 const knownReasoningDetails = (details: ReadonlyArray<unknown>) =>
   details.flatMap((detail) => Option.toArray(decodeReasoningDetail(detail)))
 
-const OpenAIChatTextContent = Schema.Struct({
-  type: Schema.Literal("text"),
-  text: Schema.String,
-  cache_control: Schema.optional(OpenAIChatCacheControl),
-})
-type OpenAIChatTextContent = Schema.Schema.Type<typeof OpenAIChatTextContent>
-
 const OpenAIChatUserContent = Schema.Union([
-  OpenAIChatTextContent,
+  Schema.Struct({
+    type: Schema.Literal("text"),
+    text: Schema.String,
+    cache_control: Schema.optional(OpenAIChatCacheControl),
+  }),
   Schema.Struct({
     type: Schema.Literal("image_url"),
     image_url: Schema.Struct({ url: Schema.String }),
@@ -139,7 +136,6 @@ const OpenAIChatUserContent = Schema.Union([
     file: Schema.Struct({ filename: Schema.String, file_data: Schema.String }),
   }),
 ])
-type OpenAIChatUserContent = Schema.Schema.Type<typeof OpenAIChatUserContent>
 
 const OpenAIChatMessage = Schema.Union([
   Schema.Struct({
@@ -153,19 +149,21 @@ const OpenAIChatMessage = Schema.Union([
   Schema.StructWithRest(
     Schema.Struct({
       role: Schema.Literal("assistant"),
-      content: Schema.NullOr(Schema.Union([Schema.String, Schema.Array(OpenAIChatTextContent)])),
+      content: Schema.NullOr(Schema.String),
       tool_calls: optionalArray(OpenAIChatAssistantToolCall),
       reasoning_content: Schema.optional(Schema.String),
       reasoning: Schema.optional(Schema.String),
       reasoning_text: Schema.optional(Schema.String),
       reasoning_details: Schema.optional(Schema.Unknown),
+      cache_control: Schema.optional(OpenAIChatCacheControl),
     }),
     [Schema.Record(Schema.String, Schema.Unknown)],
   ),
   Schema.Struct({
     role: Schema.Literal("tool"),
     tool_call_id: Schema.String,
-    content: Schema.Union([Schema.String, Schema.Array(OpenAIChatTextContent)]),
+    content: Schema.String,
+    cache_control: Schema.optional(OpenAIChatCacheControl),
   }),
 ]).pipe(Schema.toTaggedUnion("role"))
 type OpenAIChatMessage = Schema.Schema.Type<typeof OpenAIChatMessage>
@@ -329,7 +327,9 @@ export interface ParserState {
 // OpenAI Chat wire format. Keep provider quirks here instead of leaking native
 // fields into `LLMRequest`.
 interface LoweringOptions {
-  readonly cacheControl?: (cache: CacheHint | undefined) => OpenAIChatCacheControl | undefined
+  readonly cacheControl?: (
+    cache: CacheHint | undefined,
+  ) => Schema.Schema.Type<typeof OpenAIChatCacheControl> | undefined
   readonly toolCallID?: (id: string) => string
 }
 
@@ -415,7 +415,7 @@ const lowerUserMessage = Effect.fn("OpenAIChat.lowerUserMessage")(function* (
   message: OpenAIChatRequestMessage,
   options: LoweringOptions,
 ) {
-  const content: OpenAIChatUserContent[] = []
+  const content: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []
   for (const part of message.content) {
     if (part.type === "text") {
       content.push({ type: "text", text: part.text, cache_control: options.cacheControl?.(part.cache) })
@@ -441,14 +441,14 @@ const lowerAssistantMessage = Effect.fn("OpenAIChat.lowerAssistantMessage")(func
   requireReasoning: boolean,
   options: LoweringOptions & { readonly providerMetadataKey: string },
 ) {
-  const content: OpenAIChatTextContent[] = []
+  const content: TextPart[] = []
   const reasoning: ReasoningPart[] = []
   const toolCalls: OpenAIChatAssistantToolCall[] = []
   for (const part of message.content) {
     if (!ProviderShared.supportsContent(part, ["text", "reasoning", "tool-call"]))
       return yield* ProviderShared.unsupportedContent("OpenAI Chat", "assistant", ["text", "reasoning", "tool-call"])
     if (part.type === "text") {
-      content.push({ type: "text", text: part.text, cache_control: options.cacheControl?.(part.cache) })
+      content.push(part)
       continue
     }
     if (part.type === "reasoning") {
@@ -486,15 +486,14 @@ const lowerAssistantMessage = Effect.fn("OpenAIChat.lowerAssistantMessage")(func
     if (reasoning.length === 0) return nativeReasoning ?? (requireReasoning ? "" : undefined)
     return text
   })()
+  const cached = message.content.findLast((part) => "cache" in part && part.cache !== undefined)
+  const cacheControl = options.cacheControl?.(cached && "cache" in cached ? cached.cache : undefined)
   const result = {
     role: "assistant" as const,
-    content: (() => {
-      if (content.some((part) => part.cache_control !== undefined)) return content
-      if (content.length === 0 && toolCalls.length > 0) return null
-      return content.map((part) => part.text).join("")
-    })(),
+    content: content.length > 0 ? content.map((part) => part.text).join("") : toolCalls.length > 0 ? null : "",
     ...(toolCalls.length > 0 ? { tool_calls: toolCalls } : {}),
     ...(details !== undefined ? { reasoning_details: details } : {}),
+    ...(cacheControl !== undefined ? { cache_control: cacheControl } : {}),
   }
   if (field === undefined || reasoningText === undefined) return result
   return { ...result, [field]: reasoningText }
@@ -505,38 +504,33 @@ const lowerToolMessages = Effect.fn("OpenAIChat.lowerToolMessages")(function* (
   options: LoweringOptions,
 ) {
   const messages: OpenAIChatMessage[] = []
-  const attachments: OpenAIChatUserContent[] = []
+  const attachments: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []
   for (const part of message.content) {
     if (!ProviderShared.supportsContent(part, ["tool-result"]))
       return yield* ProviderShared.unsupportedContent("OpenAI Chat", "tool", ["tool-result"])
     if (part.result.type !== "content") {
-      messages.push(
-        toolMessage(
-          options.toolCallID?.(part.id) ?? part.id,
-          ProviderShared.toolResultText(part),
-          options.cacheControl?.(part.cache),
-        ),
-      )
+      messages.push({
+        role: "tool",
+        tool_call_id: options.toolCallID?.(part.id) ?? part.id,
+        content: ProviderShared.toolResultText(part),
+        cache_control: options.cacheControl?.(part.cache),
+      })
       continue
     }
     const content: ReadonlyArray<Tool.Content> = part.result.value
     const text = content.filter((item) => item.type === "text").map((item) => item.text)
-    messages.push(
-      toolMessage(options.toolCallID?.(part.id) ?? part.id, text.join("\n"), options.cacheControl?.(part.cache)),
-    )
+    messages.push({
+      role: "tool",
+      tool_call_id: options.toolCallID?.(part.id) ?? part.id,
+      content: text.join("\n"),
+      cache_control: options.cacheControl?.(part.cache),
+    })
     const files = content.filter((item) => item.type === "file")
     attachments.push(...(yield* Effect.forEach(files, (item) => lowerMedia(ProviderShared.toolFileMedia(item)))))
   }
   return { messages, attachments }
 })
 
-// Chat cache breakpoints belong on text content parts, not on the message itself.
-const toolMessage = (toolCallID: string, text: string, cacheControl: OpenAIChatCacheControl | undefined) => ({
-  role: "tool" as const,
-  tool_call_id: toolCallID,
-  content: cacheControl === undefined ? text : [{ type: "text" as const, text, cache_control: cacheControl }],
-})
-
 const lowerMessage = Effect.fn("OpenAIChat.lowerMessage")(function* (
   message: OpenAIChatRequestMessage,
   reasoningField: string | undefined,
@@ -595,7 +589,7 @@ const lowerMessages = Effect.fn("OpenAIChat.lowerMessages")(function* (request:
     if (requireAssistantAfterTool && messages.at(-1)?.role === "tool")
       messages.push({ role: "assistant", content: "Done." })
   }
-  const pendingAttachments: OpenAIChatUserContent[] = []
+  const pendingAttachments: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []
   const flushAttachments = () => {
     if (pendingAttachments.length === 0) return
     bridgeTools()
@@ -605,25 +599,24 @@ const lowerMessages = Effect.fn("OpenAIChat.lowerMessages")(function* (request:
     if (message.role === "user") bridgeTools()
     if (message.role === "system") {
       const part = yield* ProviderShared.wrappedSystemUpdate("OpenAI Chat", message)
-      const cacheControl = options.cacheControl?.(part.cache)
       if (pendingAttachments.length > 0) {
         messages.push({
           role: "user",
           content: [
             ...pendingAttachments.splice(0),
-            { type: "text", text: part.text, cache_control: cacheControl },
+            { type: "text", text: part.text, cache_control: options.cacheControl?.(part.cache) },
           ],
         })
         continue
       }
       const previous = messages.at(-1)
       if (previous?.role === "user" && typeof previous.content === "string")
-        messages[messages.length - 1] = cacheControl
+        messages[messages.length - 1] = options.cacheControl?.(part.cache)
           ? {
               role: "user",
               content: [
                 { type: "text", text: previous.content },
-                { type: "text", text: part.text, cache_control: cacheControl },
+                { type: "text", text: part.text, cache_control: options.cacheControl(part.cache) },
               ],
             }
           : { role: "user", content: `${previous.content}\n${part.text}` }
@@ -632,15 +625,15 @@ const lowerMessages = Effect.fn("OpenAIChat.lowerMessages")(function* (request:
           role: "user",
           content: [
             ...previous.content,
-            { type: "text", text: part.text, cache_control: cacheControl },
+            { type: "text", text: part.text, cache_control: options.cacheControl?.(part.cache) },
           ],
         }
       else
         messages.push(
-          cacheControl
+          options.cacheControl?.(part.cache)
             ? {
                 role: "user",
-                content: [{ type: "text", text: part.text, cache_control: cacheControl }],
+                content: [{ type: "text", text: part.text, cache_control: options.cacheControl(part.cache) }],
               }
             : { role: "user", content: part.text },
         )

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

@@ -124,7 +124,7 @@ const OpenAIResponsesCoreFields = {
   ),
 }
 
-export const OpenAIResponsesBody = Schema.Struct({
+const OpenAIResponsesBody = Schema.Struct({
   ...OpenAIResponsesCoreFields,
   stream: Schema.Literal(true),
 })

packages/ai/src/protocols/utils/claude-model.ts

@@ -1,19 +0,0 @@
-import type { LLMRequest } from "../../schema/index.js"
-
-export const THINKING_BINDING_BETA = "thinking-binding-controls-2026-08-01"
-
-// Accept gateway namespaces and Vertex suffixes without treating a snapshot date as a minor version.
-export const claudeVersion = (id: string) => {
-  const match = /(?:^|[./])claude-(?<family>[a-z]+)-(?<major>\d+)(?:[.-](?<minor>\d{1,2}))?(?:$|[-:@])/.exec(
-    id.toLowerCase(),
-  )?.groups
-  if (!match) return undefined
-  return { family: match.family, major: Number(match.major), minor: Number(match.minor ?? 0) }
-}
-
-export const supportsThinkingBlockBinding = (model: LLMRequest["model"]) => {
-  const override = model.compatibility?.supportsThinkingBlockBinding
-  if (override !== undefined) return override
-  const version = claudeVersion(model.id)
-  return version !== undefined && (version.major > 5 || (version.major === 5 && version.minor >= 1))
-}

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

@@ -1,179 +0,0 @@
-export * as OpenRouterWire from "./openrouter.js"
-
-import { Option, Schema } from "effect"
-import { LLMRequest, Message, type ContentPart, type ReasoningPart } from "../../schema/index.js"
-import type { OpenAIResponses } from "../openai-responses.js"
-import { isRecord, ProviderShared } from "../shared.js"
-
-const ReplayDetail = Schema.Struct({
-  type: Schema.String,
-  text: Schema.optional(Schema.String),
-  signature: Schema.optional(Schema.NullOr(Schema.String)),
-  data: Schema.optional(Schema.String),
-  encrypted: Schema.optional(Schema.String),
-})
-const decodeReplayDetail = Schema.decodeUnknownOption(ReplayDetail)
-
-// OpenRouter's generic Responses API supports chronological effort updates only on eligible models.
-export function supportsEffortUpdates(request: LLMRequest) {
-  if (request.providerOptions?.contextManagement !== undefined) return false
-  if (request.providerOptions?.truncation === "auto" || request.http?.body?.truncation === "auto") return false
-  if (Schema.is(Schema.Struct({ mode: Schema.Literal("pro") }))(request.providerOptions?.reasoning)) return false
-  if (Schema.is(Schema.Struct({ mode: Schema.Literal("pro") }))(request.http?.body?.reasoning)) return false
-  return (
-    request.model.compatibility?.supportsEffortUpdates ??
-    /^~?openai\/(?:gpt-6-(?:astra|sol|luna)|gpt-6\.1-sol)$/i.test(request.model.id)
-  )
-}
-
-export function nativeRequest(request: LLMRequest, format: "responses" | "messages") {
-  const options = request.providerOptions ?? {}
-  const reasoning = isRecord(options.reasoning)
-    ? fitReasoning(options.reasoning, request.generation?.maxTokens)
-    : undefined
-  const disabled = reasoning?.enabled === false || reasoning?.effort === "none"
-  return LLMRequest.update(request, {
-    providerOptions:
-      format === "responses"
-        ? {
-            ...options,
-            reasoningEffort:
-              options.reasoningEffort ?? (typeof reasoning?.effort === "string" ? reasoning.effort : undefined),
-          }
-        : {
-            ...options,
-            effort:
-              options.effort ?? (typeof reasoning?.effort === "string" && !disabled ? reasoning.effort : undefined),
-            thinking:
-              options.thinking ??
-              (() => {
-                if (disabled) return { type: "disabled" }
-                if (typeof reasoning?.max_tokens === "number")
-                  return { type: "enabled", budget_tokens: reasoning.max_tokens }
-                if (reasoning?.enabled === true || typeof reasoning?.effort === "string")
-                  return { type: "adaptive", ...(reasoning.exclude === true ? { display: "omitted" } : {}) }
-              })(),
-          },
-    messages: request.messages.map((message) => {
-      if (
-        !message.content.some(
-          (part) => part.type === "reasoning" && part.providerMetadata?.openrouter?.reasoningDetails !== undefined,
-        )
-      )
-        return message
-      return Message.make({
-        ...message,
-        // Chat stores signatures in reasoning_details; native APIs require individual signed blocks/items.
-        content: message.content.flatMap<ContentPart>((part) => {
-          if (part.type !== "reasoning") return [part]
-          const details = part.providerMetadata?.openrouter?.reasoningDetails
-          if (!Array.isArray(details)) return [part]
-          const replay = details.flatMap((detail) => Option.toArray(decodeReplayDetail(detail)))
-          if (format === "responses") {
-            const encrypted = replay.find(
-              (detail) => detail.type === "reasoning.encrypted" || detail.type === "encrypted",
-            )
-            return [
-              {
-                ...part,
-                providerMetadata: {
-                  ...part.providerMetadata,
-                  openrouter: {
-                    ...part.providerMetadata?.openrouter,
-                    reasoningEncryptedContent:
-                      part.providerMetadata?.openrouter?.reasoningEncryptedContent ??
-                      encrypted?.data ??
-                      encrypted?.encrypted,
-                  },
-                },
-              },
-            ]
-          }
-          const blocks = replay.flatMap<ReasoningPart>((detail) => {
-            const metadata = (() => {
-              if (detail.type === "reasoning.text" && detail.signature) return { signature: detail.signature }
-              if (detail.type === "reasoning.encrypted" && detail.data) return { redactedData: detail.data }
-            })()
-            if (!metadata) return []
-            return [
-              {
-                ...part,
-                text: metadata.signature ? (detail.text ?? part.text) : "",
-                providerMetadata: {
-                  ...part.providerMetadata,
-                  openrouter: { ...part.providerMetadata?.openrouter, ...metadata },
-                },
-              },
-            ]
-          })
-          return blocks.length > 0 ? blocks : [part]
-        }),
-      })
-    }),
-  })
-}
-
-export function responsesOptions(request: LLMRequest, body: OpenAIResponses.OpenAIResponsesBody) {
-  const { usage: _, ...options } = bodyOptions(request.providerOptions, request.generation?.maxTokens)
-  return {
-    ...options,
-    ...body,
-    store: false as const,
-    // Native lowering may freeze effort at the history baseline; keep it instead of the current effort.
-    ...(options.reasoning || body.reasoning
-      ? {
-          reasoning: {
-            ...options.reasoning,
-            ...body.reasoning,
-            effort: body.reasoning?.effort,
-            summary:
-              body.reasoning?.summary ??
-              (typeof options.reasoning?.summary === "string" ? options.reasoning.summary : undefined),
-          },
-        }
-      : {}),
-    ...(options.text || body.text ? { text: { ...options.text, ...body.text } } : {}),
-  }
-}
-
-export const bodyOptions = (input: unknown, maxTokens: number | undefined) => {
-  const openrouter = isRecord(input) ? input : {}
-  const {
-    usage,
-    models,
-    provider,
-    plugins,
-    web_search_options,
-    debug,
-    user,
-    reasoning,
-    text,
-    promptCacheKey,
-    ...options
-  } = openrouter
-  return {
-    ...options,
-    ...(usage === undefined || usage === true
-      ? { usage: { include: true } }
-      : usage === false
-        ? { usage: { include: false } }
-        : isRecord(usage)
-          ? { usage }
-          : {}),
-    ...(Array.isArray(models) ? { models } : {}),
-    ...(isRecord(provider) ? { provider } : {}),
-    ...(Array.isArray(plugins) ? { plugins } : {}),
-    ...(isRecord(web_search_options) ? { web_search_options } : {}),
-    ...(isRecord(debug) ? { debug } : {}),
-    ...(typeof user === "string" ? { user } : {}),
-    ...(isRecord(reasoning) ? { reasoning: fitReasoning(reasoning, maxTokens) } : {}),
-    ...(isRecord(text) ? { text } : {}),
-  }
-}
-
-// Anthropic and Alibaba require the thinking budget to remain below the output limit.
-function fitReasoning(reasoning: Record<string, unknown>, maxTokens: number | undefined) {
-  return typeof reasoning.max_tokens === "number"
-    ? { ...reasoning, max_tokens: ProviderShared.fitThinkingBudget(reasoning.max_tokens, maxTokens, 1_024) }
-    : reasoning
-}

packages/ai/src/provider-error.ts

@@ -1,4 +1,4 @@
-import { Option, Schema, SchemaGetter } from "effect"
+import { Option, Schema } from "effect"
 import {
   AuthenticationError,
   ContentPolicyError,
@@ -16,13 +16,9 @@ import {
 const patterns = [
   /prompt is too long/i,
   /input is too long for requested model/i,
-  // Cloudflare Workers AI reports this as HTTP 413.
-  /exceeded this model context window limit/i,
   /exceeds the context window/i,
   /exceeds (?:the )?(?:model'?s )?maximum context length(?: of [\d,]+ tokens?|\s*\([\d,]+\))/i,
   /input token count.*exceeds the maximum/i,
-  // Amazon Nova on Bedrock reports this as a mid-stream validationException.
-  /number of input tokens exceeds maximum length/i,
   /tokens in request more than max tokens allowed/i,
   /maximum prompt length is \d+/i,
   /reduce the length of the messages/i,
@@ -159,41 +155,6 @@ const CONTENT_POLICY_TEXT =
 const SERVER_ERROR_TEXT =
   /\b(?:try again|(?:please |you can )?retry (?:the |this |your )?request|try (?:the |this |your )?request again|(?:currently |temporarily )?at capacity|overloaded|temporarily unavailable|service[-_\s]?unavailable|(?:server|internal)[-_\s]?error|server (?:is )?busy|provider returned (?:an )?error|resource[-_\s]?exhausted|upstream (?:connect|connection|request)|request buffer limit while retrying upstream)\b/i
 
-const Message = Schema.String.check(Schema.isPattern(/\S/))
-
-const messageAt = <Fields extends Schema.Struct.Fields>(
-  fields: Fields,
-  message: (body: Schema.Struct<Fields>["Type"]) => string,
-) =>
-  Schema.Struct(fields).pipe(
-    Schema.decodeTo(Schema.String, {
-      decode: SchemaGetter.transform(message),
-      encode: SchemaGetter.forbidden(() => "Provider error messages are decode-only"),
-    }),
-  )
-
-// Common error body layouts that carry a human-readable message, in priority order.
-// Provider-specific layouts belong in their protocol.
-const decodeMessage = Schema.decodeUnknownOption(
-  Schema.fromJsonString(
-    Schema.Union([
-      messageAt({ error: Schema.Struct({ message: Message }) }, (body) => body.error.message),
-      messageAt({ error: Message }, (body) => body.error),
-      messageAt({ message: Message }, (body) => body.message),
-      // AWS services
-      messageAt({ Message: Message }, (body) => body.Message),
-      // RFC 9457 problem details
-      messageAt({ detail: Message }, (body) => body.detail),
-      messageAt(
-        { errors: Schema.NonEmptyArray(Schema.Struct({ message: Message })) },
-        (body) => body.errors[0].message,
-      ),
-    ]),
-  ),
-)
-
-export const providerErrorMessage = (body: string) => Option.getOrUndefined(decodeMessage(body))
-
 export interface ProviderFailure {
   readonly message: string
   readonly status?: number | undefined

packages/ai/src/providers/openrouter.ts

@@ -7,12 +7,8 @@ import { HttpOptions, ProviderID, type CacheHint, type ModelID, type OpenString
 import type { ProviderPackage } from "../provider-package.js"
 import { SystemOne } from "../experimental/system-one.js"
 import { OpenAIChat } from "../protocols/openai-chat.js"
-import { OpenAIResponses } from "../protocols/openai-responses.js"
-import { AnthropicMessages } from "../protocols/anthropic-messages.js"
-import { Framing } from "../route/framing.js"
-import { JsonObject } from "../protocols/shared.js"
 import { newBreakpoints, ttlBucket } from "../protocols/utils/cache.js"
-import { OpenRouterWire } from "../protocols/utils/openrouter.js"
+import { isRecord, ProviderShared } from "../protocols/shared.js"
 
 export const id = ProviderID.make("openrouter")
 const baseURL = "https://openrouter.ai/api/v1"
@@ -58,7 +54,6 @@ export interface OpenRouterOptions {
   readonly plugins?: ReadonlyArray<OpenRouterPlugin>
   readonly provider?: OpenRouterProviderRouting
   readonly reasoning?: Readonly<{
-    [key: string]: unknown
     enabled?: boolean
     exclude?: boolean
     effort?: OpenString<"none" | "minimal" | "low" | "medium" | "high" | "xhigh" | "max">
@@ -100,18 +95,6 @@ const OpenRouterBody = Schema.StructWithRest(Schema.Struct(OpenAIChat.bodyFields
 ])
 export type OpenRouterBody = Schema.Schema.Type<typeof OpenRouterBody>
 
-const OpenRouterResponsesBody = Schema.StructWithRest(
-  Schema.Struct({
-    ...OpenAIResponses.OpenAIResponsesBody.fields,
-    store: Schema.Literal(false),
-    reasoning: Schema.optional(JsonObject),
-    text: Schema.optional(JsonObject),
-  }),
-  [JsonObject],
-)
-const OpenRouterMessagesBody = Schema.StructWithRest(AnthropicMessages.AnthropicMessagesBody, [JsonObject])
-type OpenRouterMessagesBody = Schema.Schema.Type<typeof OpenRouterMessagesBody>
-
 export const protocol = Protocol.make({
   id: "openrouter-chat",
   body: {
@@ -140,7 +123,7 @@ export const protocol = Protocol.make({
           return {
             ...body,
             messages,
-            ...OpenRouterWire.bodyOptions(request.providerOptions, request.generation?.maxTokens),
+            ...bodyOptions(request.providerOptions, request.generation?.maxTokens),
           } as OpenRouterBody
         }),
       ),
@@ -148,37 +131,6 @@ export const protocol = Protocol.make({
   stream: OpenAIChat.protocol.stream,
 })
 
-const responsesProtocol = Protocol.make({
-  ...OpenAIResponses.protocol,
-  id: "openrouter-responses",
-  supportsEffortUpdates: OpenRouterWire.supportsEffortUpdates,
-  body: {
-    schema: OpenRouterResponsesBody,
-    from: (request) =>
-      OpenAIResponses.protocol.body
-        .from(OpenRouterWire.nativeRequest(request, "responses"))
-        .pipe(Effect.map((body) => OpenRouterWire.responsesOptions(request, body))),
-  },
-})
-const messagesProtocol = Protocol.make({
-  ...AnthropicMessages.protocol,
-  id: "openrouter-messages",
-  body: {
-    schema: OpenRouterMessagesBody,
-    from: (request) =>
-      AnthropicMessages.protocol.body.from(OpenRouterWire.nativeRequest(request, "messages")).pipe(
-        Effect.map((body) => {
-          const {
-            reasoning: _,
-            usage: _usage,
-            ...options
-          } = OpenRouterWire.bodyOptions(request.providerOptions, body.max_tokens)
-          return { ...options, ...body }
-        }),
-      ),
-  },
-})
-
 const cacheControl = () => {
   const breakpoints = newBreakpoints(4)
   return (cache: CacheHint | undefined) => {
@@ -191,6 +143,36 @@ const cacheControl = () => {
   }
 }
 
+// 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) =>
+  typeof reasoning.max_tokens === "number"
+    ? { ...reasoning, max_tokens: ProviderShared.fitThinkingBudget(reasoning.max_tokens, maxTokens, 1_024) }
+    : reasoning
+
+const bodyOptions = (input: unknown, maxTokens: number | undefined) => {
+  const openrouter = isRecord(input) ? input : {}
+  const { usage, models, provider, plugins, web_search_options, debug, user, reasoning, promptCacheKey, ...options } =
+    openrouter
+  return {
+    ...options,
+    ...(usage === undefined || usage === true
+      ? { usage: { include: true } }
+      : usage === false
+        ? { usage: { include: false } }
+        : isRecord(usage)
+          ? { usage }
+          : {}),
+    ...(Array.isArray(models) ? { models } : {}),
+    ...(isRecord(provider) ? { provider } : {}),
+    ...(Array.isArray(plugins) ? { plugins } : {}),
+    ...(isRecord(web_search_options) ? { web_search_options } : {}),
+    ...(isRecord(debug) ? { debug } : {}),
+    ...(typeof user === "string" ? { user } : {}),
+    ...(isRecord(reasoning) ? { reasoning: fitReasoning(reasoning, maxTokens) } : {}),
+  }
+}
+
 export const route = Route.make({
   id: ADAPTER,
   provider: id,
@@ -200,45 +182,19 @@ export const route = Route.make({
   framing: OpenAIChat.framing,
 })
 
-const responsesRoute = Route.make({
-  id: "openrouter-responses",
-  provider: id,
-  providerMetadataKey: "openrouter",
-  protocol: responsesProtocol,
-  endpoint: Endpoint.path("/responses", { baseURL }),
-  framing: Framing.sse,
-  defaults: { providerOptions: { store: false, include: ["reasoning.encrypted_content"] } },
-})
-const messagesRoute = Route.make({
-  id: "openrouter-messages",
-  provider: id,
-  providerMetadataKey: "openrouter",
-  protocol: messagesProtocol,
-  endpoint: Endpoint.path("/messages", { baseURL }),
-  transport: AnthropicMessages.transport<OpenRouterMessagesBody>(),
-})
+export const routes = [route]
 
-export const routes = [route, responsesRoute, messagesRoute]
-
-const routeOptions = (input: LanguageModelOptions) => {
+const configuredRoute = (input: LanguageModelOptions) => {
   const { apiKey: _, auth: _auth, baseURL: endpoint, ...rest } = input
-  return {
+  return route.with({
     ...rest,
     endpoint: { baseURL: endpoint ?? baseURL },
     auth: AuthOptions.bearer(input, "OPENROUTER_API_KEY"),
-  }
+  })
 }
 
 export const configure = (input: LanguageModelOptions = {}) => {
-  const options = routeOptions(input)
-  const chatRoute = route.with(options)
-  const openResponses = responsesRoute.with(options)
-  const anthropicMessages = messagesRoute.with(options)
-  const chat = (modelID: string | ModelID) =>
-    chatRoute.model<OpenRouterProviderOptionsInput>({ id: modelID, compatibility: { supportsPromptCacheKey: true } })
-  const responses = (modelID: string | ModelID) => openResponses.model<OpenRouterProviderOptionsInput>({ id: modelID })
-  const messages = (modelID: string | ModelID) =>
-    anthropicMessages.model<OpenRouterProviderOptionsInput>({ id: modelID })
+  const route = configuredRoute(input)
   const evaluation = (modelID: string | ModelID) =>
     SystemOne.model<OpenRouterEvaluationOptions>({
       id: modelID,
@@ -251,24 +207,14 @@ export const configure = (input: LanguageModelOptions = {}) => {
     })
   return {
     id,
-    model: (modelID: string | ModelID) => {
-      const model = String(modelID).replace(/^~/, "")
-      if (model.startsWith("anthropic/")) return messages(modelID)
-      if (["openai/", "x-ai/", "meta/"].some((prefix) => model.startsWith(prefix))) return responses(modelID)
-      return chat(modelID)
-    },
-    chat,
-    responses,
-    messages,
+    model: (modelID: string | ModelID) =>
+      route.model<OpenRouterProviderOptionsInput>({ id: modelID, compatibility: { supportsPromptCacheKey: true } }),
     experimental: { evaluation },
     configure,
   }
 }
 
 export const provider = configure()
-export const chat = provider.chat
-export const responses = provider.responses
-export const messages = provider.messages
 export const experimental = provider.experimental
 export const model: ProviderPackage.Definition<Settings, OpenRouterProviderOptionsInput>["model"] = (
   modelID,
@@ -281,5 +227,3 @@ export const model: ProviderPackage.Definition<Settings, OpenRouterProviderOptio
     http: body === undefined ? undefined : { body: { ...body } },
     providerOptions,
   }).model(modelID)
-
-export * as OpenRouter from "./openrouter.js"

packages/ai/src/route/executor.ts

@@ -8,7 +8,7 @@ import {
   HttpClientResponse,
 } from "effect/unstable/http"
 import { HttpContext, HttpRateLimitDetails, AIError, TransportError } from "../schema/index.js"
-import { classifyProviderFailure, providerErrorMessage } from "../provider-error.js"
+import { classifyProviderFailure } from "../provider-error.js"
 import { Service, type HttpMiddleware, type Interface } from "./executor-service.js"
 
 export { Service } from "./executor-service.js"
@@ -84,17 +84,21 @@ export const responseHttp = (response: HttpClientResponse.HttpClientResponse) =>
     headers: headerDetails(response.headers),
   })
 
-const MAX_BODY_CHARS = 2000
+const decodeProviderBody = Schema.decodeUnknownOption(
+  Schema.fromJsonString(
+    Schema.Struct({
+      message: Schema.optionalKey(Schema.String),
+      error: Schema.optionalKey(Schema.Struct({ message: Schema.optionalKey(Schema.String) })),
+    }),
+  ),
+)
 
-// Without a recognized message, show the raw body so the provider's explanation is never dropped.
 const providerMessage = (status: number, body: string | void) => {
-  const fallback = `Provider request failed with HTTP ${status}`
-  const text = body?.trim() ?? ""
-  const message = providerErrorMessage(text)
-  if (message) return message
-  // Gateway and proxy HTML error pages are markup, not an explanation.
-  if (!text || /^<(?:!doctype|html)/i.test(text)) return fallback
-  return `${fallback}: ${text.length > MAX_BODY_CHARS ? `${text.slice(0, MAX_BODY_CHARS)}…` : text}`
+  const decoded = body === undefined ? undefined : Option.getOrUndefined(decodeProviderBody(body))
+  return (
+    [decoded?.error?.message, decoded?.message].find((message) => message?.trim()) ??
+    `Provider request failed with HTTP ${status}`
+  )
 }
 
 const statusError = (response: HttpClientResponse.HttpClientResponse) =>

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

@@ -3,17 +3,7 @@ import { Effect } from "effect"
 import { CacheHint, LLM, Message } from "../src/index.js"
 import { Auth } from "../src/route.js"
 import { compileRequest } from "../src/route/client.js"
-import {
-  Alibaba,
-  AmazonBedrock,
-  AnthropicCompatible,
-  CloudflareAIGateway,
-  GoogleVertexMessages,
-  Meta,
-  MiniMax,
-  Moonshot,
-  ZAICodingPlan,
-} from "../src/providers.js"
+import { AmazonBedrock, AnthropicCompatible, GoogleVertexMessages } from "../src/providers.js"
 import * as AnthropicMessages from "../src/protocols/anthropic-messages.js"
 import * as Gemini from "../src/protocols/gemini.js"
 import * as OpenAIChat from "../src/protocols/openai-chat.js"
@@ -137,34 +127,6 @@ describe("applyCachePolicy", () => {
     }),
   )
 
-  const messagesModels = [
-    ["alibaba-messages", Alibaba.configure({ region: "ap-southeast-1", apiKey: "test" }).messages("qwen3.8-max")],
-    [
-      "cloudflare-ai-gateway-messages",
-      CloudflareAIGateway.configure({ accountId: "test", gatewayId: "test", apiKey: "test" }).model(
-        "anthropic/claude-sonnet-4-6",
-      ),
-    ],
-    ["meta-messages", Meta.configure({ apiKey: "test" }).messages("muse-spark-1.3")],
-    ["minimax-messages", MiniMax.configure({ apiKey: "test" }).model("MiniMax-M3")],
-    ["moonshot-messages", Moonshot.configure({ apiKey: "test" }).messages("kimi-k3")],
-    ["zai-coding-messages", ZAICodingPlan.configure({ apiKey: "test" }).messages("glm-5.3")],
-  ] as const
-
-  messagesModels.forEach(([route, model]) =>
-    it.effect(`'auto' emits cache markers on ${route}`, () =>
-      Effect.gen(function* () {
-        const prepared = yield* compileRequest(LLM.request({ model, system: "Sys", prompt: "hi" }))
-
-        expect(prepared.route).toBe(route)
-        expect(prepared.body).toMatchObject({
-          system: [{ type: "text", text: "Sys", cache_control: { type: "ephemeral" } }],
-          messages: [{ role: "user", content: [{ type: "text", text: "hi", cache_control: { type: "ephemeral" } }] }],
-        })
-      }),
-    ),
-  )
-
   it.effect("'auto' is a no-op on OpenAI (implicit caching protocol)", () =>
     Effect.gen(function* () {
       const prepared = yield* compileRequest(

packages/ai/test/executor.test.ts

@@ -273,56 +273,10 @@ describe("RequestExecutor", () => {
       expectAIError(error)
       expect(error.reason).toMatchObject({ _tag: "InvalidRequest" })
       expect("classification" in error.reason ? error.reason.classification : undefined).toBeUndefined()
-      expect(error.message).toBe("Provider request failed with HTTP 400: invalid parameter")
+      expect(error.message).toBe("Provider request failed with HTTP 400")
     }).pipe(Effect.provide(fixedResponse("invalid parameter", { status: 400 }))),
   )
 
-  it.effect("shows unrecognized provider error bodies", () =>
-    Effect.gen(function* () {
-      const executor = yield* RequestExecutor.Service
-      const error = yield* executor.execute(request).pipe(Effect.flip)
-
-      expect(error.message).toBe(
-        'Provider request failed with HTTP 422: {"object":"error","message":{"detail":[{"msg":"Input should be less than or equal to 1.5"}]}}',
-      )
-    }).pipe(
-      Effect.provide(
-        fixedResponse('{"object":"error","message":{"detail":[{"msg":"Input should be less than or equal to 1.5"}]}}', {
-          status: 422,
-        }),
-      ),
-    ),
-  )
-
-  it.effect("shows messages from common provider error layouts", () =>
-    Effect.gen(function* () {
-      const executor = yield* RequestExecutor.Service
-      const error = yield* executor.execute(request).pipe(Effect.flip)
-
-      expect(error.message).toBe("Invalid API Key")
-    }).pipe(Effect.provide(fixedResponse('{"detail":"Invalid API Key"}', { status: 401 }))),
-  )
-
-  it.effect("truncates long unrecognized provider error bodies", () =>
-    Effect.gen(function* () {
-      const executor = yield* RequestExecutor.Service
-      const error = yield* executor.execute(request).pipe(Effect.flip)
-
-      expect(error.message).toBe(`Provider request failed with HTTP 400: ${"x".repeat(2000)}…`)
-      expect(error.reason.body).toHaveLength(5000)
-    }).pipe(Effect.provide(fixedResponse("x".repeat(5000), { status: 400 }))),
-  )
-
-  it.effect("does not show HTML error pages", () =>
-    Effect.gen(function* () {
-      const executor = yield* RequestExecutor.Service
-      const error = yield* executor.execute(request).pipe(Effect.flip)
-
-      expect(error.message).toBe("Provider request failed with HTTP 502")
-      expect(error.reason.body).toContain("Bad Gateway")
-    }).pipe(Effect.provide(fixedResponse("<!DOCTYPE html><html><body>Bad Gateway</body></html>", { status: 502 }))),
-  )
-
   it.effect("preserves structured provider messages from large error bodies", () =>
     Effect.gen(function* () {
       const executor = yield* RequestExecutor.Service
@@ -345,7 +299,7 @@ describe("RequestExecutor", () => {
     ),
   )
 
-  it.effect("shows the body when structured provider messages are empty", () =>
+  it.effect("falls back when structured provider messages are empty", () =>
     Effect.gen(function* () {
       const executor = yield* RequestExecutor.Service
       const error = yield* executor.execute(request).pipe(Effect.flip)
@@ -354,7 +308,7 @@ describe("RequestExecutor", () => {
       expect(error.reason).toMatchObject({
         _tag: "InvalidRequest",
       })
-      expect(error.message).toBe('Provider request failed with HTTP 400: {"error":{"message":"  "}}')
+      expect(error.message).toBe("Provider request failed with HTTP 400")
     }).pipe(Effect.provide(fixedResponse('{"error":{"message":"  "}}', { status: 400 }))),
   )
 

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

@@ -10,7 +10,7 @@
       "usage"
     ],
     "name": "alibaba-messages/qwen-3-7-plus-streams-thinking-disabled",
-    "recordedAt": "2026-09-29T05:26:24.450Z"
+    "recordedAt": "2026-09-08T03:10:57.819Z"
   },
   "interactions": [
     {
@@ -21,14 +21,14 @@
         "headers": {
           "content-type": "application/json"
         },
-        "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,\"max_tokens\":4096,\"thinking\":{\"type\":\"disabled\"}}"
+        "body": "{\"model\":\"qwen3.7-plus\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}]}],\"stream\":true,\"max_tokens\":4096,\"thinking\":{\"type\":\"disabled\"}}"
       },
       "response": {
         "status": 200,
         "headers": {
           "content-type": "text/event-stream"
         },
-        "body": "event:ping\ndata:{\"type\":\"ping\"}\n\nevent:message_start\ndata:{\"message\":{\"model\":\"qwen3.7-plus\",\"id\":\"msg_39067759-5f01-9b3a-b2c1-09111797f7b5\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"usage\":{\"input_tokens\":20,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent:content_block_start\ndata:{\"type\":\"content_block_start\",\"content_block\":{\"type\":\"text\",\"text\":\"\"},\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"3\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"788\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"7\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_stop\ndata:{\"type\":\"content_block_stop\",\"index\":0}\n\nevent:message_delta\ndata:{\"delta\":{\"stop_reason\":\"end_turn\"},\"type\":\"message_delta\",\"usage\":{\"cache_creation\":{\"ephemeral_5m_input_tokens\":0},\"output_tokens\":5,\"cache_creation_input_tokens\":0,\"input_tokens\":32,\"cache_read_input_tokens\":0,\"prompt_tokens_details\":{\"cached_tokens\":0}}}\n\nevent:message_stop\ndata:{\"type\":\"message_stop\"}\n\n"
+        "body": "event:ping\ndata:{\"type\":\"ping\"}\n\nevent:message_start\ndata:{\"message\":{\"model\":\"qwen3.7-plus\",\"id\":\"msg_c4d58b4f-a61d-9d0c-a9e4-cb45d34b1120\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"usage\":{\"input_tokens\":20,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent:content_block_start\ndata:{\"type\":\"content_block_start\",\"content_block\":{\"type\":\"text\",\"text\":\"\"},\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"3\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"7887\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_stop\ndata:{\"type\":\"content_block_stop\",\"index\":0}\n\nevent:message_delta\ndata:{\"delta\":{\"stop_reason\":\"end_turn\"},\"type\":\"message_delta\",\"usage\":{\"output_tokens\":5,\"cache_creation_input_tokens\":0,\"input_tokens\":32,\"cache_read_input_tokens\":0,\"prompt_tokens_details\":{\"cached_tokens\":0}}}\n\nevent:message_stop\ndata:{\"type\":\"message_stop\"}\n\n"
       }
     }
   ]

packages/ai/test/fixtures/recordings/alibaba-messages/qwen-3-8-max-follows-a-json-schema.json

@@ -9,7 +9,7 @@
       "structured-output"
     ],
     "name": "alibaba-messages/qwen-3-8-max-follows-a-json-schema",
-    "recordedAt": "2026-09-29T05:26:41.466Z"
+    "recordedAt": "2026-09-08T03:11:30.530Z"
   },
   "interactions": [
     {
@@ -20,14 +20,14 @@
         "headers": {
           "content-type": "application/json"
         },
-        "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,\"max_tokens\":1024,\"thinking\":{\"type\":\"disabled\"},\"output_config\":{\"format\":{\"type\":\"json_schema\",\"schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}}}"
+        "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.\"}]}],\"stream\":true,\"max_tokens\":1024,\"thinking\":{\"type\":\"disabled\"},\"output_config\":{\"format\":{\"type\":\"json_schema\",\"schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}}}"
       },
       "response": {
         "status": 200,
         "headers": {
           "content-type": "text/event-stream"
         },
-        "body": "event:ping\ndata:{\"type\":\"ping\"}\n\nevent:message_start\ndata:{\"message\":{\"model\":\"qwen3.8-max\",\"id\":\"msg_61ee9b9d-a224-9b69-98f7-9f9ea3937b41\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"usage\":{\"input_tokens\":18,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent:content_block_start\ndata:{\"type\":\"content_block_start\",\"content_block\":{\"type\":\"text\",\"text\":\"\"},\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"{\\\"\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"city\\\":\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\" \\\"Paris\\\"}\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_stop\ndata:{\"type\":\"content_block_stop\",\"index\":0}\n\nevent:message_delta\ndata:{\"delta\":{\"stop_reason\":\"end_turn\"},\"type\":\"message_delta\",\"usage\":{\"cache_creation\":{\"ephemeral_5m_input_tokens\":0},\"output_tokens\":6,\"cache_creation_input_tokens\":0,\"input_tokens\":32,\"cache_read_input_tokens\":0,\"prompt_tokens_details\":{\"cached_tokens\":0}}}\n\nevent:message_stop\ndata:{\"type\":\"message_stop\"}\n\n"
+        "body": "event:ping\ndata:{\"type\":\"ping\"}\n\nevent:message_start\ndata:{\"message\":{\"model\":\"qwen3.8-max\",\"id\":\"msg_16e067c1-984b-94d3-9abb-11792d794271\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"usage\":{\"input_tokens\":18,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent:content_block_start\ndata:{\"type\":\"content_block_start\",\"content_block\":{\"type\":\"text\",\"text\":\"\"},\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"{\\\"\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"city\\\":\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\" \\\"Paris\\\"}\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_stop\ndata:{\"type\":\"content_block_stop\",\"index\":0}\n\nevent:message_delta\ndata:{\"delta\":{\"stop_reason\":\"end_turn\"},\"type\":\"message_delta\",\"usage\":{\"output_tokens\":6,\"cache_creation_input_tokens\":0,\"input_tokens\":32,\"cache_read_input_tokens\":0,\"prompt_tokens_details\":{\"cached_tokens\":0}}}\n\nevent:message_stop\ndata:{\"type\":\"message_stop\"}\n\n"
       }
     }
   ]

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

@@ -10,7 +10,7 @@
       "tool-choice"
     ],
     "name": "alibaba-messages/qwen-3-8-max-obeys-named-tool-choice",
-    "recordedAt": "2026-09-29T05:26:40.212Z"
+    "recordedAt": "2026-09-08T03:11:06.590Z"
   },
   "interactions": [
     {
@@ -21,14 +21,14 @@
         "headers": {
           "content-type": "application/json"
         },
-        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Find the current weather in Paris.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"]},\"cache_control\":{\"type\":\"ephemeral\"}}],\"tool_choice\":{\"type\":\"tool\",\"name\":\"get_weather\"},\"stream\":true,\"max_tokens\":4096,\"thinking\":{\"type\":\"disabled\"}}"
+        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Find the current weather in Paris.\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"]}}],\"tool_choice\":{\"type\":\"tool\",\"name\":\"get_weather\"},\"stream\":true,\"max_tokens\":4096,\"thinking\":{\"type\":\"disabled\"}}"
       },
       "response": {
         "status": 200,
         "headers": {
           "content-type": "text/event-stream"
         },
-        "body": "event:ping\ndata:{\"type\":\"ping\"}\n\nevent:message_start\ndata:{\"message\":{\"model\":\"qwen3.8-max\",\"id\":\"msg_dab3e1c5-e75e-978d-902e-1b0a82918cff\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"usage\":{\"input_tokens\":45,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent:content_block_start\ndata:{\"type\":\"content_block_start\",\"content_block\":{\"name\":\"get_weather\",\"input\":{},\"id\":\"toolu_9a1c3c06a04744cc97df33a2\",\"type\":\"tool_use\"},\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"partial_json\":\"\",\"type\":\"input_json_delta\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"partial_json\":\"{\\\"city\\\": \\\"Paris\",\"type\":\"input_json_delta\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"partial_json\":\"\\\"\",\"type\":\"input_json_delta\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"partial_json\":\"}\",\"type\":\"input_json_delta\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_stop\ndata:{\"type\":\"content_block_stop\",\"index\":0}\n\nevent:message_delta\ndata:{\"delta\":{\"stop_reason\":\"end_turn\"},\"type\":\"message_delta\",\"usage\":{\"cache_creation\":{\"ephemeral_5m_input_tokens\":0},\"output_tokens\":19,\"cache_creation_input_tokens\":0,\"input_tokens\":288,\"cache_read_input_tokens\":0,\"prompt_tokens_details\":{\"cached_tokens\":0}}}\n\nevent:message_stop\ndata:{\"type\":\"message_stop\"}\n\n"
+        "body": "event:ping\ndata:{\"type\":\"ping\"}\n\nevent:message_start\ndata:{\"message\":{\"model\":\"qwen3.8-max\",\"id\":\"msg_0e8f1abf-f2bc-9a86-a6a7-14804ac17eac\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"usage\":{\"input_tokens\":45,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent:content_block_start\ndata:{\"type\":\"content_block_start\",\"content_block\":{\"name\":\"get_weather\",\"input\":{},\"id\":\"toolu_cf9cab33261f4709ae096d8a\",\"type\":\"tool_use\"},\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"partial_json\":\"\",\"type\":\"input_json_delta\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"partial_json\":\"{\\\"city\\\": \\\"Paris\",\"type\":\"input_json_delta\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"partial_json\":\"\\\"\",\"type\":\"input_json_delta\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"partial_json\":\"}\",\"type\":\"input_json_delta\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_stop\ndata:{\"type\":\"content_block_stop\",\"index\":0}\n\nevent:message_delta\ndata:{\"delta\":{\"stop_reason\":\"end_turn\"},\"type\":\"message_delta\",\"usage\":{\"output_tokens\":19,\"cache_creation_input_tokens\":0,\"input_tokens\":288,\"cache_read_input_tokens\":0,\"prompt_tokens_details\":{\"cached_tokens\":0}}}\n\nevent:message_stop\ndata:{\"type\":\"message_stop\"}\n\n"
       }
     }
   ]

packages/ai/test/fixtures/recordings/bedrock-converse-thinking-binding/accepts-the-default-binding-with-no-thinking-configured.json

@@ -1,34 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "tags": [
-      "prefix:bedrock-converse-thinking-binding",
-      "provider:amazon-bedrock",
-      "protocol:bedrock-converse",
-      "reasoning"
-    ],
-    "name": "bedrock-converse-thinking-binding/accepts-the-default-binding-with-no-thinking-configured",
-    "recordedAt": "2026-09-28T23:09:14.527Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://bedrock-runtime.us-east-1.amazonaws.com/model/global.anthropic.claude-opus-5-5/converse-stream",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"modelId\":\"global.anthropic.claude-opus-5-5\",\"messages\":[{\"role\":\"user\",\"content\":[{\"text\":\"Say hello.\"}]}],\"system\":[{\"text\":\"Reply with the single word 'Hello'.\"}],\"inferenceConfig\":{\"maxTokens\":1024},\"additionalModelRequestFields\":{\"thinking\":{\"type\":\"adaptive\",\"block_binding\":{\"prefix_mismatch_behavior\":\"drop_block\"}},\"anthropic_beta\":[\"thinking-binding-controls-2026-08-01\"]}}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "application/vnd.amazon.eventstream"
-        },
-        "body": "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",
-        "bodyEncoding": "base64"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/meta-messages/replays-encrypted-thinking-through-a-tool-loop.json

@@ -2,16 +2,9 @@
   "version": 1,
   "metadata": {
     "model": "muse-spark-1.3",
-    "tags": [
-      "prefix:meta-messages",
-      "provider:meta",
-      "protocol:meta-messages",
-      "tool",
-      "tool-loop",
-      "reasoning"
-    ],
+    "tags": ["prefix:meta-messages", "provider:meta", "protocol:meta-messages", "tool", "tool-loop", "reasoning"],
     "name": "meta-messages/replays-encrypted-thinking-through-a-tool-loop",
-    "recordedAt": "2026-09-29T05:29:52.700Z"
+    "recordedAt": "2026-09-07T17:27:03.540Z"
   },
   "interactions": [
     {
@@ -22,14 +15,14 @@
         "headers": {
           "content-type": "application/json"
         },
-        "body": "{\"model\":\"muse-spark-1.3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Look up the current weather in Paris using lookup_weather. After receiving the result, report Paris's weather in one short sentence.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"name\":\"lookup_weather\",\"description\":\"Look up current weather\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false},\"cache_control\":{\"type\":\"ephemeral\"}}],\"tool_choice\":{\"type\":\"auto\"},\"stream\":true,\"max_tokens\":1024,\"thinking\":{\"type\":\"adaptive\",\"display\":\"omitted\"},\"output_config\":{\"effort\":\"low\"}}"
+        "body": "{\"model\":\"muse-spark-1.3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Look up the current weather in Paris using lookup_weather. After receiving the result, report Paris's weather in one short sentence.\"}]}],\"tools\":[{\"name\":\"lookup_weather\",\"description\":\"Look up current weather\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"tool_choice\":{\"type\":\"auto\"},\"stream\":true,\"max_tokens\":1024,\"thinking\":{\"type\":\"adaptive\",\"display\":\"omitted\"},\"output_config\":{\"effort\":\"low\"}}"
       },
       "response": {
         "status": 200,
         "headers": {
           "content-type": "text/event-stream"
         },
-        "body": "event: message_start\ndata: {\"message\":{\"content\":[],\"id\":\"msg_6abb4ccec3772e65cd44417d\",\"model\":\"muse-spark-1.3\",\"role\":\"assistant\",\"stop_reason\":null,\"stop_sequence\":null,\"type\":\"message\",\"usage\":{\"input_tokens\":0,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"data\":\"Q-PaDgFT_IXY3RXUUduHqe1_WSgTF5_gMh29lCBV6vhfXW34eU6nJO7gUfRPczMK4nZfQhrqQewRujwjtNKR69DHHqTP35Q0jDnuZ4GZX9qBZT1OH9JhcMl1FxvccpatEcuH2Nju9Rf12KFHAOm9eKK6wFiaZgEHcT1wPbRYVZVZ8VxLeKk-ED3wkmWFhUFJRLSgJguWBMvEMbtIUlAKsJ6qkUxClfQKMm3eft1yf9ajseT32eloGzBE48IhyXu6tpeUDs9UatFgZOHKtHmvtKsPqRw-ddbimLnMtdkexwa8xR7EVTVuwBezunqhssfYAdR4c4t6VDpACh2UL3LcVUF9b0reiwpUfdpYrwjpB3bTCWyzGjwvIwGeuoR6VrWHz5nqVbt3bBprJXqJ4IRLKAXFFlMhClkz0MFNPBufcXSdh9i9NjbNp5c8lXCSkhMfhYX9B9KbQKl3DxUCjEY_VZk0nQJwt9zQVwTzWPzl9fTkBWrdebpXCg-z4lPmU5GLyGY3MlF24eDoSfJfqibF1HHqztluSHi4XEulrwMh4dpZmLhlLxlFxwnC8LjY_Rg8uOyzeoCzsMj-R9WrZ6n9jLZrxJPVo17nFjsuSwt6zMRS9Cna6adGFso0jIKF4BNTcZXlVt0b_TWA9AY4xpGSaAQXKYRBdAZNzTK5hj-bvyfWVTBepTBKm7pAtJW2e05mVBFDqRwEr3kcKkMTRMEj8vztSX4sNjV7Sw6bDbPjb_uFeoaNkq1ua9N7ZkKsyLn80ysWQ6IL-B_AVM1toAI0bVVYQmHbRSz1MgybcT5vjK2TWfCgxBuqw1ARU3oEM1iWTvpuHkFDNGeZnT4IWc_z_vLtQVnqSlqXPtnAmJ0WJgvQGSBhojSa9QMxRz_l4LZHmXUtfdMdUHTbrZwbfoL6eIyZf43ah-sXILJWTX9wXuYqnaclwvuO3EFiDUioSIBxWvAj2HNe5HpzayuvJqneRAukiVynt9SOo79VcBKAFsHW_KhUz58KjndfvOFP7byXv_W6Xa00ve_3GEaCANjFIl7ratBEuFYtpbVTT7TGIyGmuPQTVnGe7CAcFiAvGSwoaMwqvdGheKxeR7_cZvSYREeUnL5mXev8-MKY6_AtddOanQhf9pshxAXrIUtVFqin5MGhL2j787niURU9-o_VhLgzaIqfjbfMKkzdZ3-ESyDloOeD3CwoAsD_AVIrQZQHYbpYzFYasH0VrItar07ItxWZt_sCehTOi7Jtk5G8e7fd1HtCWmrp2iArioSIp8aLOphI9lazM7taIpfF_y0EMt3x5ENSvhtEmSk4kCJQnNyRv21uHT4uD0XjdQJbHeoRhzHDxoLHUOqAX9fGBzMFO8ZsWJxl8ebiCJeJ9Jzzr9bXeUKH5cP2VymoXPs3AWBrTpw1WfADM5sjHDJLzw\",\"type\":\"redacted_thinking\"},\"index\":0,\"type\":\"content_block_start\"}\n\nevent: content_block_stop\ndata: {\"index\":0,\"type\":\"content_block_stop\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"text\":\"\",\"type\":\"text\"},\"index\":1,\"type\":\"content_block_start\"}\n\nevent: content_block_delta\ndata: {\"delta\":{\"text\":\"I'll look up the current weather in Paris.\",\"type\":\"text_delta\"},\"index\":1,\"type\":\"content_block_delta\"}\n\nevent: content_block_stop\ndata: {\"index\":1,\"type\":\"content_block_stop\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"id\":\"call_01a0eba40810714cbd0a8a84496badc7\",\"input\":{},\"name\":\"lookup_weather\",\"type\":\"tool_use\"},\"index\":2,\"type\":\"content_block_start\"}\n\nevent: content_block_delta\ndata: {\"delta\":{\"partial_json\":\"{\\\"city\\\":\\\"Paris\\\"}\",\"type\":\"input_json_delta\"},\"index\":2,\"type\":\"content_block_delta\"}\n\nevent: content_block_stop\ndata: {\"index\":2,\"type\":\"content_block_stop\"}\n\nevent: message_delta\ndata: {\"delta\":{\"stop_reason\":\"tool_use\",\"stop_sequence\":null},\"type\":\"message_delta\",\"usage\":{\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"input_tokens\":564,\"output_tokens\":97,\"output_tokens_details\":{\"thinking_tokens\":29}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
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@@ -40,14 +33,14 @@
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         },
-        "body": "event: message_start\ndata: {\"message\":{\"content\":[],\"id\":\"msg_6abb4cd0b3f15768e1ae4287\",\"model\":\"muse-spark-1.3\",\"role\":\"assistant\",\"stop_reason\":null,\"stop_sequence\":null,\"type\":\"message\",\"usage\":{\"input_tokens\":0,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"data\":\"Q-PaDgF70ZwJMdvZQh6urOFUjgHa2IrdJbBv8RFXDpivwOudmj9QoCi81uRWeArjn_7V2nNk6i6jlHMjN7ACeZUE-faBnl4bTI10Fs0w0SSgcdkMaume2hpXBrZB85wlEttQviz-Pc5EHhAzU5QFIrK83CQkhJENqcfY3NJW1-55JFqlXmWSFV0GtNp3clG7V0LR1Zaq54hqIUY5iwf1pB8VIXLxPca3LwXMGbQPgjOgj_WNKHEBGl6mIafeca1OlGuDrJPN9tWBhlfxJCkcRU0zl14NA8chEyr96N40KrPewjVAlWO3jSejy9V7PnglilNewhUXOEQ75w2tYiZDajBfz6iG_n27zD3uvgD3QQthdyeUhJqlBaX81zMIe39Ctfo-cX-62cKwE3_EHy_7SxkwY5Olbf_bwL4GGzR39MObZoyv8-ZU1kwwVuSLXuDFvIx6iaAMZ50U4xXYbOphAaw2rylql0_kiPlFS9V3Fr_Jvx4vplj-8xh9JI7Uu9t9O7ltECpN9Qfu32fqxzWy9-ZVIh15gzhyegNeICBOcz6b9s3CIFHnzRcU69Ru9-lbydKv7scII_2xxLd-wlHQDCXHXyTeTeZjbTRiul0u5J2m8gGefF-j0lVChJOh8F4vBltzYTFTiQoSP8KtL61VJOt6dLsxOQA0Rq4PR5Lcs2fAfJbKb7jYB23bmXvQQ1d76keuvq_yoSIhrSyxLvXRCxouoWttkI8QC0u7O5pZUIPVfiYMI-j3bbc63BFOu4wAGbckm8Txo-gAY8UYAAwMBX17SD5EcTR82njKmd1R0Y8XOJLiwZRlN0ou-syq8xhahVgd0VcyB1HKr1f9mbhJdqFkKGpWh9-SR6jT6fKCCFxeMA3caczpG5wP_q5SGgyUiK0GWYpHabjSeJWac-04TDOfqL4QwLEKuL4PjlINe9OZY1n1lPJa2_MS9YGt6qlgLe3uZSEBwHk-ul5_yRetU8bd7lYcwDtUHT6puEkdjqeYwYQ8XWkUjoYwvSIMB_2v_owa5p9gPzf5Fr_zWqG7pizrStNNHq1MjXQX8Pl4Z6e2LZ2NjItfjR1GKdErNEJWXyh0oHCQKD1fIOXl64lpQorAHUcKV2HZm_SkwV7kxvzAfhdeT9Fe3AXZmtPBS1m0ZMMYNMYsNKb813JnWu8LvNg_zgXLBWsiB-hl4kCk1NKVAsCoA0i8JUFnGGm_uQp6t06a5NQYEXvi5A0akZTacle4UTBflNdsIVR6tSaO_m49nnr-XYSIh3tEzfjOsXpFz5L_A9SBDdPSGpcMJrs00nl1wDpF78OKC8NhwkIx8ydwF5A-ecXf91SbgqzVgv2T-wzuziA1wjJbPsGzTxP_wULUc2P5-ftFAMpsiRHB_-7hq6ZGo3HwNWjK2DTTN_89u7RCjuErEVPXUv-2fQ\",\"type\":\"redacted_thinking\"},\"index\":0,\"type\":\"content_block_start\"}\n\nevent: content_block_stop\ndata: {\"index\":0,\"type\":\"content_block_stop\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"text\":\"\",\"type\":\"text\"},\"index\":1,\"type\":\"content_block_start\"}\n\nevent: content_block_delta\ndata: {\"delta\":{\"text\":\"It's sunny in Paris right now.\",\"type\":\"text_delta\"},\"index\":1,\"type\":\"content_block_delta\"}\n\nevent: content_block_stop\ndata: {\"index\":1,\"type\":\"content_block_stop\"}\n\nevent: message_delta\ndata: {\"delta\":{\"stop_reason\":\"end_turn\",\"stop_sequence\":null},\"type\":\"message_delta\",\"usage\":{\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"input_tokens\":152,\"output_tokens\":55,\"output_tokens_details\":{\"thinking_tokens\":38}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
+        "body": "event: message_start\ndata: {\"message\":{\"content\":[],\"id\":\"msg_6a9ef3e77f6ef36fdd8f4925\",\"model\":\"muse-spark-1.3\",\"role\":\"assistant\",\"stop_reason\":null,\"stop_sequence\":null,\"type\":\"message\",\"usage\":{\"input_tokens\":0,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"data\":\"Q-PaDgH-GUZkiqnb_seFaP70it_GxAEIUjt2BLllpyzfckiBOUVwr72xGQsSnj0y9aOhoaQ24A_HB0MHh4XWyYziVdRgq6lDPLHkJlmMzbusZxUZUx7D7B8kD8HrBbiTeIFbFlHaM9MiZW_PpYY9fpkdc7aeuX0mORdK8XTT3JPjvW1HPp4Qqp_iEOl9G2iM2Y6xno8SqeTcbc4EQs1LePaKrq86dBPmXBjkgQbYfvIw57o0SBEyelcudtnzJnaluOyOQdV2Ytk_r_xrYSCoBwgbf2KBCOFjdeQyruuwVZZ32JJdVOpWLw8eopUwAo2xYOZP0g8S8hTmOFvDKuzXipm1OoAXwD8Swm6ED3IIo0hHA5xSfMygDCee47nd-EpShNPamkCKodfX1QvePEJsIQK2iTgkh8IGUeEEne5dxgLuXvEAbeqGDvEy6T7IoSgZnc-KPtH6SoWM_kgc_eF_oN73Nxg2prMyCqTUNg5Qs2WLPjA9wSLmmnCoiDr1bYNIuQyn6adgv0-nZZXETJoRAHJBj65Asa8kbLyCYesb192178xCj2aBSdwyj-jc0i328sa9STS7mUSI7KvOt0Yi3kllLs1aSnHW-ogsUJUM7tTf83VO9fRRU_aW4H6qr4OAr8jbBKSD3bxE0AekDd24ZS-8YIjiP1tMOAPZ2JGQrNqbxnaeqhCZzD2nl-E8TMXaAJIk4L3oZtV80xJiUW7mLEf_jQBPAWhph4ujbkDaufGvNrl4FXyBJ-XpKMIA5z0jAYU2b3ul5-Qn5Km7Oc8fPu1M_0XGAOKG-pF9ppr4y-an4B4mKDYoAiSHp3cjv-fW57D87wBfQPaJRjOzWhzqENO-5MlB0CEsnDtrLveE2ui8wSECszParUNk5SEaeSYvrXLY0QkaE7CTK9ljwTKjJM34r1a8o16KFxGuzMrloNlxIYIaO_suM9CDuf8wNwe8KkAV2Kt28g9LwkL5b3mtI7ZSjTdHYOOhFFMzs-sjXboQoGAJGOhMnCQNc3E5-goSzvOzEIXehSTs8Mzyq8d3C2k5F9PSgdO6ZouHVURDgbEXTqWqoqjQ8huk5AbrUX16QwhJambd6P-3i--Idz9CbIVuWIqiMm80TvYlMttobYxTyFDIJrKJTrVA0PkAOFvOMfYt27d7z2ZMrTf6Vtm_DNniuhVbvVU3ZcWbb4LO-XkwH3bfHB-sckpwURP34KzOMvogaqWaMAZlabdd-lQKCc7tMhmo9BrYwHHvLxAELD2qQnyym43Yo1iJNAyrqoUAFk6K029fDon7h9ybmKZdBxRtS3arUesY_91Xep0tA0Y1UYUKo8zKjK3Op_DbVyC5OoR8rxpumKiqk2PtG7RPf-WjEXGkleGqZtxix7ILSkQXxW6McY1r_6LAh2Nv0nUzqS019tTb7mx2OLyt2g\",\"type\":\"redacted_thinking\"},\"index\":0,\"type\":\"content_block_start\"}\n\nevent: content_block_stop\ndata: {\"index\":0,\"type\":\"content_block_stop\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"text\":\"\",\"type\":\"text\"},\"index\":1,\"type\":\"content_block_start\"}\n\nevent: content_block_delta\ndata: {\"delta\":{\"text\":\"It's sunny in Paris.\",\"type\":\"text_delta\"},\"index\":1,\"type\":\"content_block_delta\"}\n\nevent: content_block_stop\ndata: {\"index\":1,\"type\":\"content_block_stop\"}\n\nevent: message_delta\ndata: {\"delta\":{\"stop_reason\":\"end_turn\",\"stop_sequence\":null},\"type\":\"message_delta\",\"usage\":{\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"input_tokens\":210,\"output_tokens\":50,\"output_tokens_details\":{\"thinking_tokens\":35}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
       }
     }
   ]

packages/ai/test/fixtures/recordings/meta-messages/streams-text-with-adaptive-thinking.json

@@ -2,16 +2,9 @@
   "version": 1,
   "metadata": {
     "model": "muse-spark-1.3",
-    "tags": [
-      "prefix:meta-messages",
-      "provider:meta",
-      "protocol:meta-messages",
-      "text",
-      "reasoning",
-      "adaptive"
-    ],
+    "tags": ["prefix:meta-messages", "provider:meta", "protocol:meta-messages", "text", "reasoning", "adaptive"],
     "name": "meta-messages/streams-text-with-adaptive-thinking",
-    "recordedAt": "2026-09-29T05:29:46.263Z"
+    "recordedAt": "2026-09-07T17:26:18.565Z"
   },
   "interactions": [
     {
@@ -22,14 +15,14 @@
         "headers": {
           "content-type": "application/json"
         },
-        "body": "{\"model\":\"muse-spark-1.3\",\"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,\"max_tokens\":2048,\"thinking\":{\"type\":\"adaptive\",\"display\":\"omitted\"},\"output_config\":{\"effort\":\"low\"}}"
+        "body": "{\"model\":\"muse-spark-1.3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}]}],\"stream\":true,\"max_tokens\":2048,\"thinking\":{\"type\":\"adaptive\",\"display\":\"omitted\"},\"output_config\":{\"effort\":\"low\"}}"
       },
       "response": {
         "status": 200,
         "headers": {
           "content-type": "text/event-stream"
         },
-        "body": "event: message_start\ndata: {\"message\":{\"content\":[],\"id\":\"msg_6abb4cc8199fc8fa6763470e\",\"model\":\"muse-spark-1.3\",\"role\":\"assistant\",\"stop_reason\":null,\"stop_sequence\":null,\"type\":\"message\",\"usage\":{\"input_tokens\":0,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"data\":\"Q-PaDgEdq_xGJ7Hl5i3AUq-IGolHfh7VsPu8914OD3BSVMiPCf1QVZ4O553OKpiejFGIkjBEfR2gGxcXlTsKuK78wfAiGAft2yQIHPeCJt4Csoxc3UUX405gUHqO9M06WeU118pTrlITW4g4dElALKmE2zi_pkQzEvU07jPqsF4n-3-9FkEnJ3D5Ag0UsU4LI1Mn5-EwPyPkitspoB-ytXsugMGQTMMfInzNq0OKDDMAO88aRQv24EslYBviairfM5c-k6dqOdGfsg_SntRiZJVNoo1yowGhQuiMKXreeQiQj_hrSVEXo8PVybmaCXtfW0I_2rI7JKR1uO-fxUHZckcCvLKMS3Wa2cwPUM9MPAnq05l3lbD1LpqZ_UPlf534p8_0BmF4hVGI2pamDWkL--7UaWrGFYtwBc3r9GVW0aIZC1ArnGjXsInKCnJuJ-elKu8H0Wp8-lxrsEfqtmxCamrsil8jOkIMezwSMUGtawhcOSdOnyQRje2b3OXiRx7Y-XZjrBlErbS13tdMJhXGlVqp9tazXlKdIt9CpMfMxjYW-Z5VkrJNymsBcjW1r2x5DC2VzGcqcha91rBkskrhKGWix95cdaEqUkP66DW9jThk4RS__E_oyt8DMTpvCxoZ5pe_mLkuS-ZpYKFeZbRegegIQErP_yuhvPWCwTYZymW4uUTVEmxdJ1otAST4ICF4ChsbHLLzJc4XHO7TA5GcwEc69m-poLTFrJvuYRErYhHHONOGWZGoyaPXApsmytUW6-lH2OiVpViVrLg_qvDw1NwyTgguQfP1d6JJYTmnjgN-Pa9170lqGzMI1fVjsC9zY5e6qe6NiyOwpxbFoV-jfdzyfeKX5LMVacpj2xV6dk6dYW7zcIZ3rJJvCpnwJROCjKbSRa4RvBFWNW2xjiWi1tYltzsz1YR1RHZJEN8szlfJjdMrfJdR5GbOiiDMcwGgGNOF5kbQqLgkggzR-B4lUNGLvSyBjAd_AdLpab0r9j1XdKBPWLFiXfAtX8lPSfeCSV41LFxKopB-MIVOpgtrwW6dsEayU7_w4Tc1nBTtYOGf2cGUV2XYzEpt5vxzCDC-og8WZ2lr3hOczp543-_I8n2ZOQEEk1k3suykPiQen_wgcpRccm18Aqsjy2t3uitZ-p1p4g0s6tG6Y_DCS4ku713v9Uw2ezHosl4Qk5JVk-KNvi9ZCYb9Jmc7PqHubP6Ua_UTyIeTiBB60zK5EgatIglUv3_NudfsplEH8YJkMvoAPJk-HW7c2WwzoymfA4TFoCg8vt3YHGAtuiyqF17-S3sfhl9J6oX-7FFpGn6bRqgwguC6sHUQw3bqWtyG4LjUy3_qzWfCI5zSm1hxjd6YRaxkdlv37Ol3Ua-65b3gRmQoUlA7omPbHuC8r2TNnG_ltsp9EMJlz7HN-Gyggw\",\"type\":\"redacted_thinking\"},\"index\":0,\"type\":\"content_block_start\"}\n\nevent: content_block_stop\ndata: {\"index\":0,\"type\":\"content_block_stop\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"text\":\"\",\"type\":\"text\"},\"index\":1,\"type\":\"content_block_start\"}\n\nevent: content_block_delta\ndata: {\"delta\":{\"text\":\"37887\",\"type\":\"text_delta\"},\"index\":1,\"type\":\"content_block_delta\"}\n\nevent: content_block_stop\ndata: {\"index\":1,\"type\":\"content_block_stop\"}\n\nevent: message_delta\ndata: {\"delta\":{\"stop_reason\":\"end_turn\",\"stop_sequence\":null},\"type\":\"message_delta\",\"usage\":{\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"input_tokens\":23,\"output_tokens\":161,\"output_tokens_details\":{\"thinking_tokens\":149}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
+        "body": "event: message_start\ndata: {\"message\":{\"content\":[],\"id\":\"msg_6a9ef3b8e46a777cfdc94a93\",\"model\":\"muse-spark-1.3\",\"role\":\"assistant\",\"stop_reason\":null,\"stop_sequence\":null,\"type\":\"message\",\"usage\":{\"input_tokens\":0,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"data\":\"Q-PaDgFtwwNGqSqKxPk9Zj-j9xogYigpDsDHrLKPV-DxmXcbhtXDPrGPuj5qB4l1FslhuEQFCA8zIRyNGaCmzM0JG4GOZe3LpFYM2iegBbi24l4V7souryAwUs_7PrInxObuguMwh2S66ML6PwlfVRVTAwPsgDSCl6Y9tkoDHr2KBRY2fzJhmjkotuFRK2LYvNp9pKi89JxnoIKK8B_UJc_B2r4vU_Txq9_rWTmo2eXFoGOSMZNaHpVrvACRQKC1jc6-8Pj5JkJN11_Cs2fHqlaCwOoPDVJxHXUXP1AMHU1mG0jR4qf9wUaz8kMmyCBBijlfQJ4G7nsQs7LJO9gS2ropmynDoO5IEIAFf7ekxLw54Fx3JigC0_qz4Jx4a04Ey8JBzWRlZNdqggpq2_I_VoT3S0zhCYDp8ZAJQs2JqvvF-ZmLcMPH1PmpkgRySqXl5TDxERIpdL3aOUzTl-PTHVMIGEcSAz84fFwU4p1kS5llGEGC6jHlClscEEto1Y-qthL6BoeDALzk7GHEMVQD0bfC4E5yGCh0_xlWqsG3XPj0wpYKBc0hfh7vjO1NpzPxCtaDjnRwR6TzSo6x_HrEL3VELArHhpYAXl30fNO-EepduZ3Hd_kWqWj_GhdIM4dRh2zoytbhIesVD7OvBqU47urKFnpXw4kswJ-NoVVNk00ysMMHwobT9BdJL9UCoXlNzyErPe8LkA9f0VrKkuLCg5FDr_DCEYXHXr7fdRmC3JTKuzvxffvPYppUt3hs5gbdXWgT2iZzunt4bSfFne7BPkj9OGREyfLcukvGAh_oqPLXuu0lert9wbTAqRUTyM5Y1nSjw3h2B3jv91mH78mGvhy8LeVNLkrSMxEa4GtrrUvlzkPnZayc_LE2Sr7JnQjhwylVNWvkcIAjstOZShjPKe4pUJwj-cUXmXZB7Zwr-Q9WLtprFgQoBvadd5DHD4aynsYEabKZVcOqhV8l2zyaUCGobUzdPqBC5kk5-VPmNTqm6Qs91mb1y_5ydmHjTWmSW6qtN_op-Xfwqr_hllvOjhnAvvDJWUOKH-YIgZw_k_db2mzW1hO093jSDMYv6wpiy_5XWMNJBjcH8hvR_pFjXIqScUnKPranEZvCyGfHR-UBNJ89s_JEE49chcIt8LiukBeXQ_TOe29kzWnT1tYtfGQXP8FY2Wukw5yhvP3coGp1-LPZRuw3BLP2tWmiijmyj5lMikp8MIeqOztN8zgsArZ9jq21EtDSNfpO_0C4GEOtCZQYvZHRpDeY966XDnN7Blenn_8FZ95M-M-1My8hsmF__JrnY4ZFZr2274f_FbyJaSqGj6H-YRuzawO2TVLWHxAr6v2LCiB_QX01PwUI1yaJmP0mI-Qz5zXgSHzfVzhF7l1zEnM8qIYcSXzD1Gp3rjpn2sq-rR-JLqeHq080Hl0X9c8lzozw3qCpvcTfA-4ZTdXU9ax3nt7emcPVFo9N_JBjYashC7KvjkIWjMhQoTbIRlO18gjEa-Dvtsmo4_xE1ApYRoylbhxg3_fQJjKLfCBv32V6BM8qWKINL7d1nYP7PtAKnglCdnT_dK0_pCK6ejGfmdWZgVj0DhVZUCXf2kN530Y0hoCb1jBgwJ16a5gUqJMtnWScarIGSVrsYMA_uEt7DwQzGYAGESVIgi8JVATkxoq4EbyOLCHX7MIKmAPGV2WWTjWAWLnE2ITjlXtBkUAwjq2v957BMgIqxSNxEjG75Gd0i1XjZAujCSCXMrywZ72-VdQy4cD6kzH9mv04fZ7_dqn9eKPHBY7_T7V6myRDj_ImkffXcygmd7F-_-kHMExI6ABas1WtfDjkYgbRM0jMtIHYL-W9xT8vCSLSdvHcb5Y8XSXT5GTwI7eIlBHnCvFrgunbCo9bJJlT2Gc1RcgeZ4rg3yu1MNF4Mfk6DBwDhduGh5l7nypL00B0HokLfF4H7N1oSKL9jdVE3oMyJuA9NV1SJiyqcneSVHBzqjFZ5sszFXPlBKEz31izxFToAF4tDYMR507zYLcxyLA4AmHlkmn0qeozPb5qk-qZB6yLywtewv8O1KqxieAEJnEmyiqGnoKBdkjpeYmplErSxJyzoRX4fXb9mOdb-izJgvqSQ5uLm0_EXf3OklpMoAJ2CPJ6cxpg_5bhiwbgEtafCuDyXVL9Zzi872yUb_Z-ATlqU1M2Ai67f1piHIUDzMn4kulXQhPMb_R4eznMbX_aRigQh92-t1USoFtX2vmyCUQageFcrHHK524gPQ7rkOfDvZ8GHPXi3YZFnzGkSKjQD0jumFtzDiRqYkkMECep0zgY8MjuWLMjlMuigpkzSm8GPZ2aFeIMxJCYR8iMf7fH9NyHAJnicx4wdW_UqqgY5jfVtDvPSL0SRScyyK0jNdmofDHjWp4Tehih5OOw81E3BYLCiIv2p2zTMRSTZxFyG3HI91tIEaJu_RnIMFxzCilaP1LcbMrjyFzBtLJiXXJ--eFYyIMYKgfbWIOTsjLLJGC8NS2wuzaXB-C6GLsuSEHci5a8f5KGqaXK99LvHtY4k36WhEoVUjQEGY7HNJrtdjBUlqDgnT9iO06gGd2QCGvlP4us-Z3q2Bcyhf0LzOgn_Bpjc6YBk4TNF1AMxG15qmhnsrWcGElkpk3Vh9npC8--vkvhh7pOPfTZlNjQQh900OemY9gwxHyCBbt1096g4qkYOntGJmw-wVjyWxOt9K9CaM9WxY3wFyOmwqiFL1PK4CMeKMZk54iZ1ZiyXDOvsO7qUa9XQGDy3W8ic6R3DUzdkxEEBFYHAjDy3qE\",\"type\":\"redacted_thinking\"},\"index\":0,\"type\":\"content_block_start\"}\n\nevent: content_block_stop\ndata: {\"index\":0,\"type\":\"content_block_stop\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"text\":\"\",\"type\":\"text\"},\"index\":1,\"type\":\"content_block_start\"}\n\nevent: content_block_delta\ndata: {\"delta\":{\"text\":\"37887\",\"type\":\"text_delta\"},\"index\":1,\"type\":\"content_block_delta\"}\n\nevent: content_block_stop\ndata: {\"index\":1,\"type\":\"content_block_stop\"}\n\nevent: message_delta\ndata: {\"delta\":{\"stop_reason\":\"end_turn\",\"stop_sequence\":null},\"type\":\"message_delta\",\"usage\":{\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"input_tokens\":23,\"output_tokens\":266,\"output_tokens_details\":{\"thinking_tokens\":254}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
       }
     }
   ]

packages/ai/test/fixtures/recordings/meta-messages/streams-text-with-enabled-thinking.json

@@ -2,16 +2,9 @@
   "version": 1,
   "metadata": {
     "model": "muse-spark-1.3",
-    "tags": [
-      "prefix:meta-messages",
-      "provider:meta",
-      "protocol:meta-messages",
-      "text",
-      "reasoning",
-      "enabled"
-    ],
+    "tags": ["prefix:meta-messages", "provider:meta", "protocol:meta-messages", "text", "reasoning", "enabled"],
     "name": "meta-messages/streams-text-with-enabled-thinking",
-    "recordedAt": "2026-09-29T05:29:50.023Z"
+    "recordedAt": "2026-09-07T17:26:20.464Z"
   },
   "interactions": [
     {
@@ -22,14 +15,14 @@
         "headers": {
           "content-type": "application/json"
         },
-        "body": "{\"model\":\"muse-spark-1.3\",\"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,\"max_tokens\":2048,\"thinking\":{\"type\":\"enabled\",\"budget_tokens\":1024,\"display\":\"omitted\"},\"output_config\":{\"effort\":\"low\"}}"
+        "body": "{\"model\":\"muse-spark-1.3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}]}],\"stream\":true,\"max_tokens\":2048,\"thinking\":{\"type\":\"enabled\",\"budget_tokens\":1024,\"display\":\"omitted\"},\"output_config\":{\"effort\":\"low\"}}"
       },
       "response": {
         "status": 200,
         "headers": {
           "content-type": "text/event-stream"
         },
-        "body": "event: message_start\ndata: {\"message\":{\"content\":[],\"id\":\"msg_6abb4ccc0beea22bb95a41de\",\"model\":\"muse-spark-1.3\",\"role\":\"assistant\",\"stop_reason\":null,\"stop_sequence\":null,\"type\":\"message\",\"usage\":{\"input_tokens\":0,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"data\":\"Q-PaDgGoJiKtl-javJ6dY04Ws79OK_mVBNQgu19iuCSru9wUy0jS0-87v1Lr1jC3I6cI8gnBvTl3HcRgR8MqmTOddFg5f_QSqhUweOVsCzaNL18Bjkye_cK3jGmlc9IsGLJ8dGFvFMPwflkMcofmwZ1P0EsMivXgwsDsWuiHP3PAP6_DfKgpVnNoz1oxNXgoVMTaNylNHtKHXpeC4_doHgWONMjhca771bIh_x0sRT-mQlONkr6HHgzzpCftEGOgnELEC7DlmJ46CDe_VSuaiUk8VLeNV4xyNm4XBHoyFuEn2N4tmG6mxo3cQlN2er8lY39XmY5gqy4ZIJddoY4sVFxBfL-axfDDv89hAhTYgXxH4dj4MyAj5TPWdyVZwunw2dRwf9JobQW-HCGcPxW6rqE7znOAegWSLD-mKRGZXNp7-kTY5Wicv9toV-VsBIFc1YpHFRpw36pxZftd2JnbW38dNYH0fO_QYnCknHxE9RA68uFpu_JvvpHOO0sFAuqwOCMynQyqFZRY9vVJBMYnuB_RIY_WCEuZwt7hV9es1aPk2QJyAWFh-LnNDzp9ktLaNwnnJxRpEK1r0PMbUsIQJMuxcNH7lCstE2dGBf02O4lH4HlZSHNsLcZuUjb01HCISf7cQXzIjG6rO_47m52h6bMpYZITElM66XVlKRE5V3wF_7sQ2BaT4g8GLxxTkgh-C0x8ISPVaU773cDvJSuOI-5FlUbviG9oQG_0PxU5ulQDCMSEM4wZENu6ZRlngTloFSxHJfeQvShiy9pC9kv-DuOT1stUT4HqpV0bV7WGrJjlX9l17JbMgjMBwzhNWTJwGiuw2Ya2cCveYgSzxMZtcI_YH9mv0n53c2h7_1Lq2-kVDx_R5UngrMLu9YxjIwIgK_UtbtnTXJ-q5X4DexgovoBPjzc2GOQeK0DoOnfOczVLMALAkQMnyxCQ65ZuawVuJFmIKY9ooznuqWjl5mLxVCn5Fyhk2uTKjFlbW1JO-RdvNF9CMRD2y2bY2Igy4w9Gh1R_xAhM7rwF0dt_p2g8CUjqsEyIn9bSGuRuzXfkxNz7KYfyCD2rkZc1gw8oU7jiLEpNl5gCkcj7bNql7lcDYgJtGSDRwZlIzZcb7MaxFHyFw7dXGtrOIvLL5eF8TOidjaRaY27xkCCBkQXWeIiX0qV5AuojjrpRAJsVVvdT5s2dHd1IYHU0nnsePU1Dd7gyB59upU9W1AaFrXjx0pn4MsNuYDcyLyzihq1lCeK23OSoXkwH9UI-zaLkV6MGUf_K0jMJPr6FrMgYF1x_SpXYOKSXPHhY5UE3pGLIL5_vFCRkAkMcvpw-H3tyljgnCZwt3g-Yuy4Uj05MS3PseQxuUor-0trgRBaBW4AdB925t2D41RJ4xp3HnEpjEkNFJ8Hsqbs3QxyVoTAvElXOrQ\",\"type\":\"redacted_thinking\"},\"index\":0,\"type\":\"content_block_start\"}\n\nevent: content_block_stop\ndata: {\"index\":0,\"type\":\"content_block_stop\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"text\":\"\",\"type\":\"text\"},\"index\":1,\"type\":\"content_block_start\"}\n\nevent: content_block_delta\ndata: {\"delta\":{\"text\":\"37887\",\"type\":\"text_delta\"},\"index\":1,\"type\":\"content_block_delta\"}\n\nevent: content_block_stop\ndata: {\"index\":1,\"type\":\"content_block_stop\"}\n\nevent: message_delta\ndata: {\"delta\":{\"stop_reason\":\"end_turn\",\"stop_sequence\":null},\"type\":\"message_delta\",\"usage\":{\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"input_tokens\":23,\"output_tokens\":198,\"output_tokens_details\":{\"thinking_tokens\":186}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
+        "body": "event: message_start\ndata: {\"message\":{\"content\":[],\"id\":\"msg_6a9ef3bbb7e691b3ea26427b\",\"model\":\"muse-spark-1.3\",\"role\":\"assistant\",\"stop_reason\":null,\"stop_sequence\":null,\"type\":\"message\",\"usage\":{\"input_tokens\":0,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"data\":\"Q-PaDgEpowvGua1C8z2RSICyyeSLruZ1JBUhrhLhgqf_XauiaESRHyHgIPVF0Cfxp7eLB_ESNObq7vJNDLdffE-RaN5nEauXhRxH6fJErC-4H_KELZFGF-qNnGu2DWl-gEojkwwkq1HtTtT3rOEk5isGjdribnDvR7a1zkpG3I0BxE_UyseISDSbkev5tyV7DkiH4xyv2ZmwuO3HHGgmAztEek9vm0ZTElZ8PIPvHG6P38aYGTGKrTjyOhmN3LBa_NFvtQQkUMKRB3n7L_N5KB1NbYkPzLEJ6L5dL9DJZBSsZms0O62QZ2zs2oWZ-ekQWL4oIuiRozWVpmwzjtkJl9WXtyvdL-4MACucXMSN9V7hWzC50g-DgdeFPSslsA9gy619wTNPPIxPymGWeD9LYKR3iwTRLNYzuycHakNqikhiwz9MweMod5GLTdbtypZJcV7ourz58jmK4YKsqleVPVvXM6bIoNuT2yGj23-tAYxQszGXQMHxSTnaLAHl6sUdiwTqX4wbFYfX-ogkIZsrca9mv5E2gkH1wJl19GPCxFaSDCHxh3QAW0RIExKUJly9Ydpoegmojfo0F4Hjt13zDm03fLEQ0eY8GjxIIHDt_zVRQGTW8d4tgZpTt4K9H1TTefG34EerN7jl7L-WNUe_gKorN4aSYBS6S6ma4Vb91NlUQ4cEGBKVQvumYe16p9Xj6Te-tCuiBmTOCq6iDsTH-eMlip_Bc18MD2BCGr2NdF4PB2vqHGSPIvSHDRXBjoPNtm18opAsUnOBu7-tysb8-EKFd5z7JbWgegQWNs11FdX0uFtC-U9ROwbHLJ3IHk4m2UHc2USwi7v4Xe6FtnkJ0VCZTajFUTXW33lwO3UsHuqEbxVnU_Rzuj6Ryjb08bpXpJBjIEGf2wBS3_I78cuXKOChHu-evtnjezc77joRUP8_I8pWsQbQ6bHABD95p8q6ZdQpDr9XQALbVg3ZvD5_QgF59rIxkW9a2L78oQpu0O3UT7-jxNFe38-OXuEr3VTv7RzISu1zjvBZD0k9-2q-T9BAJmsK6oPajJQWKwHBYF3w6vbsQ8tRDdh2uerhlAIWU0YL92gPCmT3mR6HxSGjAx08t-gib_YrzvWn0oTfLNk_BNfAMpG7Mj2GYNbyTkd_tjNZ2fOwVKbygsoFIUEvh2B-xyHOYuhXfxzI8-Gt55FMGDLLKcHfgmOZAUz1xVkIdm6bcuRFuQppgTzYIr66GN6tsr9KxTN2GZ2NHCwexe0hSAGfKVyLr8QBxTDRlzubBqe-osgQJrJtS7uM1MuWK_8grkZrNsn6g3ami0JboEmM_Ct3gVhkXo6lhCCcjn1gnGX-HOLczT3Xty1wYkeayUpi9x326nrSmypxzbzCRS3bOaPvSoBCszri0uTfUnVQK5kTVuRD30fGxauPhA\",\"type\":\"redacted_thinking\"},\"index\":0,\"type\":\"content_block_start\"}\n\nevent: content_block_stop\ndata: {\"index\":0,\"type\":\"content_block_stop\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"text\":\"\",\"type\":\"text\"},\"index\":1,\"type\":\"content_block_start\"}\n\nevent: content_block_delta\ndata: {\"delta\":{\"text\":\"37887\",\"type\":\"text_delta\"},\"index\":1,\"type\":\"content_block_delta\"}\n\nevent: content_block_stop\ndata: {\"index\":1,\"type\":\"content_block_stop\"}\n\nevent: message_delta\ndata: {\"delta\":{\"stop_reason\":\"end_turn\",\"stop_sequence\":null},\"type\":\"message_delta\",\"usage\":{\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"input_tokens\":23,\"output_tokens\":143,\"output_tokens_details\":{\"thinking_tokens\":131}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
       }
     }
   ]

packages/ai/test/fixtures/recordings/minimax-messages/m2-7-streams-default-thinking.json

@@ -11,7 +11,7 @@
       "reasoning"
     ],
     "name": "minimax-messages/m2-7-streams-default-thinking",
-    "recordedAt": "2026-09-29T05:27:50.902Z"
+    "recordedAt": "2026-09-07T16:53:20.721Z"
   },
   "interactions": [
     {
@@ -22,14 +22,14 @@
         "headers": {
           "content-type": "application/json"
         },
-        "body": "{\"model\":\"MiniMax-M2.7\",\"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,\"max_tokens\":1536}"
+        "body": "{\"model\":\"MiniMax-M2.7\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}]}],\"stream\":true,\"max_tokens\":1536}"
       },
       "response": {
         "status": 200,
         "headers": {
           "content-type": "text/event-stream; charset=utf-8"
         },
-        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"419c5ecf093decc95250bc4cc3afce52\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M2.7\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":0,\"output_tokens\":0,\"cache_creation_input_tokens\":21,\"cache_read_input_tokens\":36}}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"thinking\",\"thinking\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"The user\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" asks: \\\"What is 173 multiplied by 219? Reply with only the final integer.\\\"\\n\\nWe need to calculate 173 * 219 = ?\\n\\nLet's compute.\\n\\n173 *\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" 219:\\n\\nOption 1: compute 173 * 200 = 34,600 (actually 173*200 = 34,600\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"? Wait 173 * 200 = 34,600? Let's check: 173 * 2 = 346, then times 100 = 34,600. Yes\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\".)\\n\\n173 * 19 = 173 * 20 - 173 = 3,460 - 173 = 3\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\",287.\\n\\nAdd them: 34,600 + 3,287 = 37,887.\\n\\nThus product is 37,887.\\n\\nAlternatively, compute \"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"219 * 173: 219*100 = 21,900; 219*70 = 15,330; 219*3 = 657\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"; sum = 21,900 + 15,330 = 37,230; +657 = 37,887. Same.\\n\\nThus answer: 378\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"87.\\n\\nThe user wants only the final integer. So reply \\\"37887\\\". No other text.\\n\\nThus final answer: 37887.\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"signature_delta\",\"signature\":\"48b0f683a3fb6cfc2e060ff709c12a905c76d2e5bdddc709fb5b1cfc5aa600f7\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":1,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"text_delta\",\"text\":\"37887\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":1}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"},\"usage\":{\"input_tokens\":0,\"output_tokens\":259,\"cache_creation_input_tokens\":21,\"cache_read_input_tokens\":36,\"output_tokens_details\":{\"thinking_tokens\":256}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
+        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"bd0c49bb4f5e6f26b77bab9b5a917484\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M2.7\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":57,\"output_tokens\":0}}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"thinking\",\"thinking\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"The user\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" asks: \\\"What is 173 multiplied by 219? Reply with only the final integer.\\\" So we compute 173 * 219. Compute:\\n\\n173 * 219 = \"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"173 * (200 + 19) = 173*200 + 173*19 = 34600 + (173*19). 173*19 = 173*20\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" - 173 = 3460 - 173 = 3287. So total = 34600 + 3287 = 37887.\\n\\nAlternatively compute directly: 219 * \"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"173 = 219 * 173 = (219 * 100) + (219 * 70) + (219 * 3) = 21900 + 15330 + 657\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" = 37887.\\n\\nThus answer is 37887. We must reply with only the final integer: \\\"37887\\\". No extra text.\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"signature_delta\",\"signature\":\"1625da2f905565076ee90b9c2919db39b1719731c0820eca2f2a1c9c28324e87\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":1,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"text_delta\",\"text\":\"37887\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":1}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"},\"usage\":{\"input_tokens\":57,\"output_tokens\":187,\"output_tokens_details\":{\"thinking_tokens\":184}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
       }
     }
   ]

packages/ai/test/fixtures/recordings/minimax-messages/m3-continues-a-tool-loop-with-adaptive-thinking.json

@@ -13,7 +13,7 @@
       "usage"
     ],
     "name": "minimax-messages/m3-continues-a-tool-loop-with-adaptive-thinking",
-    "recordedAt": "2026-09-29T05:27:53.421Z"
+    "recordedAt": "2026-09-07T16:53:25.185Z"
   },
   "interactions": [
     {
@@ -24,14 +24,14 @@
         "headers": {
           "content-type": "application/json"
         },
-        "body": "{\"model\":\"MiniMax-M3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Look up the current weather in Paris using get_weather before answering. After receiving the result, report the weather in one short sentence.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false},\"cache_control\":{\"type\":\"ephemeral\"}}],\"tool_choice\":{\"type\":\"auto\"},\"stream\":true,\"max_tokens\":1536,\"thinking\":{\"type\":\"adaptive\"}}"
+        "body": "{\"model\":\"MiniMax-M3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Look up the current weather in Paris using get_weather before answering. After receiving the result, report the weather in one short sentence.\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"tool_choice\":{\"type\":\"auto\"},\"stream\":true,\"max_tokens\":1536,\"thinking\":{\"type\":\"adaptive\"}}"
       },
       "response": {
         "status": 200,
         "headers": {
           "content-type": "text/event-stream; charset=utf-8"
         },
-        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"6e8c4645c02dd05c2f08c22e5eba9a89\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":0,\"output_tokens\":0,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"thinking\",\"thinking\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"The user wants me\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" to look up the\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" current weather in Paris\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" using the get_\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"weather tool, then\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" report the weather in\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" one short sentence after\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" receiving the result.\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" Let\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" me call the tool\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\".\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"signature_delta\",\"signature\":\"61f13458806572210eb8e1809b12f191297eea1a7f0104aa12f86595ef5eb1dc\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":1,\"content_block\":{\"type\":\"tool_use\",\"id\":\"call_01a0eba239b7718ba67e5aa3\",\"name\":\"get_weather\",\"input\":{}}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"{\\\"city\\\":\\\"Paris\\\"}\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":1}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"tool_use\"},\"usage\":{\"input_tokens\":239,\"output_tokens\":68,\"cache_read_input_tokens\":203,\"service_tier\":\"standard\",\"output_tokens_details\":{\"thinking_tokens\":38}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
+        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"6a532037868639a6189e7c0b9e1c9aa2\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":0,\"output_tokens\":0,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"thinking\",\"thinking\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"The user wants me\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" to look up the\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" current weather in Paris\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" using the get_\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"weather tool, then\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" report it\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" in one short sentence\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\". Let\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" me call the tool\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\".\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"signature_delta\",\"signature\":\"f05cb5f4873950f23d194289c41d79b96ebd37c9411a45b306ed44f135a910d4\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":1,\"content_block\":{\"type\":\"tool_use\",\"id\":\"call_01a07cc9f2d47d83a6424ff3\",\"name\":\"get_weather\",\"input\":{}}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"{\\\"city\\\":\\\"Paris\\\"}\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":1}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"tool_use\"},\"usage\":{\"input_tokens\":239,\"output_tokens\":63,\"cache_read_input_tokens\":203,\"service_tier\":\"standard\",\"output_tokens_details\":{\"thinking_tokens\":33}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
       }
     },
     {
@@ -42,14 +42,14 @@
         "headers": {
           "content-type": "application/json"
         },
-        "body": "{\"model\":\"MiniMax-M3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Look up the current weather in Paris using get_weather before answering. After receiving the result, report the weather in one short sentence.\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"The user wants me to look up the current weather in Paris using the get_weather tool, then report the weather in one short sentence after receiving the result. Let me call the tool.\",\"signature\":\"61f13458806572210eb8e1809b12f191297eea1a7f0104aa12f86595ef5eb1dc\"},{\"type\":\"tool_use\",\"id\":\"call_01a0eba239b7718ba67e5aa3\",\"name\":\"get_weather\",\"input\":{\"city\":\"Paris\"}}]},{\"role\":\"user\",\"content\":[{\"type\":\"tool_result\",\"tool_use_id\":\"call_01a0eba239b7718ba67e5aa3\",\"content\":\"{\\\"condition\\\":\\\"sunny\\\",\\\"temperature\\\":\\\"18C\\\"}\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false},\"cache_control\":{\"type\":\"ephemeral\"}}],\"tool_choice\":{\"type\":\"none\"},\"stream\":true,\"max_tokens\":1536,\"thinking\":{\"type\":\"adaptive\"}}"
+        "body": "{\"model\":\"MiniMax-M3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Look up the current weather in Paris using get_weather before answering. After receiving the result, report the weather in one short sentence.\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"The user wants me to look up the current weather in Paris using the get_weather tool, then report it in one short sentence. Let me call the tool.\",\"signature\":\"f05cb5f4873950f23d194289c41d79b96ebd37c9411a45b306ed44f135a910d4\"},{\"type\":\"tool_use\",\"id\":\"call_01a07cc9f2d47d83a6424ff3\",\"name\":\"get_weather\",\"input\":{\"city\":\"Paris\"}}]},{\"role\":\"user\",\"content\":[{\"type\":\"tool_result\",\"tool_use_id\":\"call_01a07cc9f2d47d83a6424ff3\",\"content\":\"{\\\"condition\\\":\\\"sunny\\\",\\\"temperature\\\":\\\"18C\\\"}\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"tool_choice\":{\"type\":\"none\"},\"stream\":true,\"max_tokens\":1536,\"thinking\":{\"type\":\"adaptive\"}}"
       },
       "response": {
         "status": 200,
         "headers": {
           "content-type": "text/event-stream; charset=utf-8"
         },
-        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"0f6a842fc54eecab0d6df9ffebd8dd3b\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":0,\"output_tokens\":0,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"thinking\",\"thinking\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"The weather\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" in Paris is sunny\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" with a\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" temperature of 18\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"°C. I'll\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" report this in one\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"short sentence.\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"signature_delta\",\"signature\":\"fefe2c0e5f3f0a0edc24b21d37c8b7fb12ed0755bd1898f71acc2325f1b35958\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":1,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"text_delta\",\"text\":\"It's\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"text_delta\",\"text\":\" currently\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"text_delta\",\"text\":\" sunny in\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"text_delta\",\"text\":\" Paris with a temperature\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"text_delta\",\"text\":\" of 18°C\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"text_delta\",\"text\":\".\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":1}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"},\"usage\":{\"input_tokens\":169,\"output_tokens\":38,\"cache_read_input_tokens\":128,\"service_tier\":\"standard\",\"output_tokens_details\":{\"thinking_tokens\":22}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
+        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"e9e7ea89f63eca1cd17a037aef28eed1\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":0,\"output_tokens\":0,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"The weather\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" in Paris is sunny\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" with\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" a\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" temperature of 18\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"°C.\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"},\"usage\":{\"input_tokens\":164,\"output_tokens\":16,\"cache_read_input_tokens\":128,\"service_tier\":\"standard\"}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
       }
     }
   ]

packages/ai/test/fixtures/recordings/minimax-messages/m3-generates-a-named-tool-call-with-default-thinking-off.json

@@ -11,7 +11,7 @@
       "usage"
     ],
     "name": "minimax-messages/m3-generates-a-named-tool-call-with-default-thinking-off",
-    "recordedAt": "2026-09-29T05:27:51.660Z"
+    "recordedAt": "2026-09-07T16:53:24.366Z"
   },
   "interactions": [
     {
@@ -22,14 +22,14 @@
         "headers": {
           "content-type": "application/json"
         },
-        "body": "{\"model\":\"MiniMax-M3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Use get_weather to look up the current weather in Paris.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false},\"cache_control\":{\"type\":\"ephemeral\"}}],\"tool_choice\":{\"type\":\"tool\",\"name\":\"get_weather\"},\"stream\":true,\"max_tokens\":512}"
+        "body": "{\"model\":\"MiniMax-M3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Use get_weather to look up the current weather in Paris.\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"tool_choice\":{\"type\":\"tool\",\"name\":\"get_weather\"},\"stream\":true,\"max_tokens\":512}"
       },
       "response": {
         "status": 200,
         "headers": {
           "content-type": "text/event-stream; charset=utf-8"
         },
-        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"5f4a7ce22c5a82497fedc65028aa4825\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":0,\"output_tokens\":0,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"I'll\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" look\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" up the current weather\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" in Paris for you\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\".\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":1,\"content_block\":{\"type\":\"tool_use\",\"id\":\"call_01a0eba235fb7281a0f2ea2c\",\"name\":\"get_weather\",\"input\":{}}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"{\\\"city\\\":\\\"Paris\\\"}\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":1}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"tool_use\"},\"usage\":{\"input_tokens\":287,\"output_tokens\":39,\"cache_read_input_tokens\":128,\"service_tier\":\"standard\"}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
+        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"a60a8adb2eff7545f809b9df2689f1b8\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":0,\"output_tokens\":0,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"I'll\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" look\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" up the current weather\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" in Paris for you\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\".\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":1,\"content_block\":{\"type\":\"tool_use\",\"id\":\"call_b0246853f3c4432ea455cc99\",\"name\":\"get_weather\",\"input\":{}}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"{\\\"city\\\":\\\"Paris\\\"}\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":1}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"tool_use\"},\"usage\":{\"input_tokens\":401,\"output_tokens\":39,\"service_tier\":\"standard\"}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
       }
     }
   ]

packages/ai/test/fixtures/recordings/minimax-messages/m3-streams-text-with-thinking-disabled.json

@@ -11,7 +11,7 @@
       "thinking-off"
     ],
     "name": "minimax-messages/m3-streams-text-with-thinking-disabled",
-    "recordedAt": "2026-09-29T05:27:36.888Z"
+    "recordedAt": "2026-09-07T16:53:16.028Z"
   },
   "interactions": [
     {
@@ -22,14 +22,14 @@
         "headers": {
           "content-type": "application/json"
         },
-        "body": "{\"model\":\"MiniMax-M3\",\"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,\"max_tokens\":1536,\"thinking\":{\"type\":\"disabled\"}}"
+        "body": "{\"model\":\"MiniMax-M3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}]}],\"stream\":true,\"max_tokens\":1536,\"thinking\":{\"type\":\"disabled\"}}"
       },
       "response": {
         "status": 200,
         "headers": {
           "content-type": "text/event-stream; charset=utf-8"
         },
-        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"444066751666f2071c999bfd0b4c16b0\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":0,\"output_tokens\":0,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"378\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"87\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"},\"usage\":{\"input_tokens\":179,\"output_tokens\":3,\"service_tier\":\"standard\"}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
+        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"01664c047875a0f573c966467c8cccc1\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":0,\"output_tokens\":0,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"378\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"87\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"},\"usage\":{\"input_tokens\":51,\"output_tokens\":3,\"cache_read_input_tokens\":128,\"service_tier\":\"standard\"}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
       }
     }
   ]

packages/ai/test/fixtures/recordings/moonshot-messages/k3-respects-tool-choice-required.json

@@ -2,16 +2,9 @@
   "version": 1,
   "metadata": {
     "model": "kimi-k3",
-    "tags": [
-      "prefix:moonshot-messages",
-      "provider:moonshot",
-      "protocol:messages",
-      "tool",
-      "tool-choice",
-      "usage"
-    ],
+    "tags": ["prefix:moonshot-messages", "provider:moonshot", "protocol:messages", "tool", "tool-choice", "usage"],
     "name": "moonshot-messages/k3-respects-tool-choice-required",
-    "recordedAt": "2026-09-29T05:28:21.798Z"
+    "recordedAt": "2026-09-07T20:37:07.770Z"
   },
   "interactions": [
     {
@@ -22,14 +15,14 @@
         "headers": {
           "content-type": "application/json"
         },
-        "body": "{\"model\":\"kimi-k3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Use get_weather to look up the current weather in Paris.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false},\"cache_control\":{\"type\":\"ephemeral\"}}],\"tool_choice\":{\"type\":\"any\"},\"stream\":true,\"max_tokens\":4096,\"output_config\":{\"effort\":\"low\"}}"
+        "body": "{\"model\":\"kimi-k3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Use get_weather to look up the current weather in Paris.\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"tool_choice\":{\"type\":\"any\"},\"stream\":true,\"max_tokens\":4096,\"output_config\":{\"effort\":\"low\"}}"
       },
       "response": {
         "status": 200,
         "headers": {
           "content-type": "text/event-stream"
         },
-        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"chatcmpl-c877bb3f-cb6b-9d0f-b91e-37849d7bff39\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"kimi-k3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":223,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"output_tokens\":0,\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"service_tier\":\"standard\",\"inference_geo\":\"not_available\",\"prompt_tokens\":223,\"cached_tokens\":0}}}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"thinking\",\"thinking\":\"\",\"signature\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"The\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" user explicitly\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" asks to use\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" get_weather for\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" Paris. Need call\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" the\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" tool. Do\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" that.\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":1,\"content_block\":{\"type\":\"tool_use\",\"id\":\"get_weather_0_7e180ea4\",\"name\":\"get_weather\",\"input\":{}}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"{\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"\\\"city\\\":\\\"Paris\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"\\\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"}\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":1}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"tool_use\",\"stop_sequence\":null},\"usage\":{\"input_tokens\":223,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"output_tokens\":73,\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"output_tokens_details\":{\"thinking_tokens\":20},\"prompt_tokens\":223,\"completion_tokens\":73,\"total_tokens\":296,\"cached_tokens\":0}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
+        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"chatcmpl-2f2e02780e8a031b1b1307171\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"kimi-k3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":223,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"output_tokens\":0,\"service_tier\":\"standard\",\"inference_geo\":\"not_available\",\"prompt_tokens\":223,\"cached_tokens\":0}}}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"thinking\",\"thinking\":\"\",\"signature\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"Need\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" use\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" get\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"_we\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"ather\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" for\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" Paris\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\".\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" Call\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" function\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\".\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" Then\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" final\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" summarize\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" result\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\".\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" Use\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" tool\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\".\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":1,\"content_block\":{\"type\":\"tool_use\",\"id\":\"get_weather_0\",\"name\":\"get_weather\",\"input\":{}}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"{\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"\\\"city\\\": \\\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"Paris\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"\\\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"}\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":1}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"tool_use\",\"stop_sequence\":null},\"usage\":{\"input_tokens\":0,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":223,\"output_tokens\":69,\"output_tokens_details\":{\"thinking_tokens\":19},\"prompt_tokens\":223,\"completion_tokens\":69,\"total_tokens\":292,\"cached_tokens\":223}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
       }
     }
   ]

packages/ai/test/fixtures/recordings/openai-compatible-chat/openrouter-claude-opus-4-7-drives-a-tool-loop.json

@@ -0,0 +1,54 @@
+{
+  "version": 1,
+  "metadata": {
+    "name": "openai-compatible-chat/openrouter-claude-opus-4-7-drives-a-tool-loop",
+    "recordedAt": "2026-05-06T01:35:14.282Z",
+    "tags": [
+      "prefix:openai-compatible-chat",
+      "protocol:openai-compatible-chat",
+      "provider:openrouter",
+      "tool",
+      "tool-loop",
+      "golden",
+      "flagship"
+    ]
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://openrouter.ai/api/v1/chat/completions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"anthropic/claude-opus-4.7\",\"messages\":[{\"role\":\"system\",\"content\":\"Use the get_weather tool exactly once, then answer in one short sentence.\"},{\"role\":\"user\",\"content\":\"What is the weather in Paris?\"}],\"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}}}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_tokens\":80,\"temperature\":0}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": ": OPENROUTER PROCESSING\n\n: OPENROUTER PROCESSING\n\n: OPENROUTER PROCESSING\n\ndata: {\"id\":\"gen-1778031311-S3NlfYGRwAnOoPoNrThK\",\"object\":\"chat.completion.chunk\",\"created\":1778031311,\"model\":\"anthropic/claude-4.7-opus-20260416\",\"provider\":\"Amazon Bedrock\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"id\":\"toolu_bdrk_01AVRkzbigpMbNJ3zjnuQ6ZE\",\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"arguments\":\"\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031311-S3NlfYGRwAnOoPoNrThK\",\"object\":\"chat.completion.chunk\",\"created\":1778031311,\"model\":\"anthropic/claude-4.7-opus-20260416\",\"provider\":\"Amazon Bedrock\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031311-S3NlfYGRwAnOoPoNrThK\",\"object\":\"chat.completion.chunk\",\"created\":1778031311,\"model\":\"anthropic/claude-4.7-opus-20260416\",\"provider\":\"Amazon Bedrock\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031311-S3NlfYGRwAnOoPoNrThK\",\"object\":\"chat.completion.chunk\",\"created\":1778031311,\"model\":\"anthropic/claude-4.7-opus-20260416\",\"provider\":\"Amazon Bedrock\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"{\\\"city\\\": \\\"P\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031311-S3NlfYGRwAnOoPoNrThK\",\"object\":\"chat.completion.chunk\",\"created\":1778031311,\"model\":\"anthropic/claude-4.7-opus-20260416\",\"provider\":\"Amazon Bedrock\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"ari\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031311-S3NlfYGRwAnOoPoNrThK\",\"object\":\"chat.completion.chunk\",\"created\":1778031311,\"model\":\"anthropic/claude-4.7-opus-20260416\",\"provider\":\"Amazon Bedrock\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"s\\\"}\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031311-S3NlfYGRwAnOoPoNrThK\",\"object\":\"chat.completion.chunk\",\"created\":1778031311,\"model\":\"anthropic/claude-4.7-opus-20260416\",\"provider\":\"Amazon Bedrock\",\"service_tier\":\"standard\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":\"tool_calls\",\"native_finish_reason\":\"tool_use\"}]}\n\ndata: {\"id\":\"gen-1778031311-S3NlfYGRwAnOoPoNrThK\",\"object\":\"chat.completion.chunk\",\"created\":1778031311,\"model\":\"anthropic/claude-4.7-opus-20260416\",\"provider\":\"Amazon Bedrock\",\"service_tier\":\"standard\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":\"tool_calls\",\"native_finish_reason\":\"tool_use\"}],\"usage\":{\"prompt_tokens\":802,\"completion_tokens\":66,\"total_tokens\":868,\"cost\":0.00566,\"is_byok\":false,\"prompt_tokens_details\":{\"cached_tokens\":0,\"cache_write_tokens\":0,\"audio_tokens\":0,\"video_tokens\":0},\"cost_details\":{\"upstream_inference_cost\":0.00566,\"upstream_inference_prompt_cost\":0.00401,\"upstream_inference_completions_cost\":0.00165},\"completion_tokens_details\":{\"reasoning_tokens\":0,\"image_tokens\":0,\"audio_tokens\":0}}}\n\ndata: [DONE]\n\n"
+      }
+    },
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://openrouter.ai/api/v1/chat/completions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"anthropic/claude-opus-4.7\",\"messages\":[{\"role\":\"system\",\"content\":\"Use the get_weather tool exactly once, then answer in one short sentence.\"},{\"role\":\"user\",\"content\":\"What is the weather in Paris?\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"toolu_bdrk_01AVRkzbigpMbNJ3zjnuQ6ZE\",\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"arguments\":\"{\\\"city\\\":\\\"Paris\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"toolu_bdrk_01AVRkzbigpMbNJ3zjnuQ6ZE\",\"content\":\"{\\\"temperature\\\":22,\\\"condition\\\":\\\"sunny\\\"}\"}],\"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}}}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_tokens\":80,\"temperature\":0}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": ": OPENROUTER PROCESSING\n\ndata: {\"id\":\"gen-1778031313-XM4XZGmFyt6jg3GZ772w\",\"object\":\"chat.completion.chunk\",\"created\":1778031313,\"model\":\"anthropic/claude-4.7-opus-20260416\",\"provider\":\"Amazon Bedrock\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"It\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031313-XM4XZGmFyt6jg3GZ772w\",\"object\":\"chat.completion.chunk\",\"created\":1778031313,\"model\":\"anthropic/claude-4.7-opus-20260416\",\"provider\":\"Amazon Bedrock\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"'s sunny and\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031313-XM4XZGmFyt6jg3GZ772w\",\"object\":\"chat.completion.chunk\",\"created\":1778031313,\"model\":\"anthropic/claude-4.7-opus-20260416\",\"provider\":\"Amazon Bedrock\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\" 22°C in\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031313-XM4XZGmFyt6jg3GZ772w\",\"object\":\"chat.completion.chunk\",\"created\":1778031313,\"model\":\"anthropic/claude-4.7-opus-20260416\",\"provider\":\"Amazon Bedrock\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\" Paris.\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031313-XM4XZGmFyt6jg3GZ772w\",\"object\":\"chat.completion.chunk\",\"created\":1778031313,\"model\":\"anthropic/claude-4.7-opus-20260416\",\"provider\":\"Amazon Bedrock\",\"service_tier\":\"standard\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":\"stop\",\"native_finish_reason\":\"end_turn\"}]}\n\ndata: {\"id\":\"gen-1778031313-XM4XZGmFyt6jg3GZ772w\",\"object\":\"chat.completion.chunk\",\"created\":1778031313,\"model\":\"anthropic/claude-4.7-opus-20260416\",\"provider\":\"Amazon Bedrock\",\"service_tier\":\"standard\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":\"stop\",\"native_finish_reason\":\"end_turn\"}],\"usage\":{\"prompt_tokens\":899,\"completion_tokens\":19,\"total_tokens\":918,\"cost\":0.00497,\"is_byok\":false,\"prompt_tokens_details\":{\"cached_tokens\":0,\"cache_write_tokens\":0,\"audio_tokens\":0,\"video_tokens\":0},\"cost_details\":{\"upstream_inference_cost\":0.00497,\"upstream_inference_prompt_cost\":0.004495,\"upstream_inference_completions_cost\":0.000475},\"completion_tokens_details\":{\"reasoning_tokens\":0,\"image_tokens\":0,\"audio_tokens\":0}}}\n\ndata: [DONE]\n\n"
+      }
+    }
+  ]
+}

packages/ai/test/fixtures/recordings/openai-compatible-chat/openrouter-gpt-5-5-drives-a-tool-loop.json

@@ -0,0 +1,54 @@
+{
+  "version": 1,
+  "metadata": {
+    "name": "openai-compatible-chat/openrouter-gpt-5-5-drives-a-tool-loop",
+    "recordedAt": "2026-05-06T01:35:11.662Z",
+    "tags": [
+      "prefix:openai-compatible-chat",
+      "protocol:openai-compatible-chat",
+      "provider:openrouter",
+      "tool",
+      "tool-loop",
+      "golden",
+      "flagship"
+    ]
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://openrouter.ai/api/v1/chat/completions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"openai/gpt-5.5\",\"messages\":[{\"role\":\"system\",\"content\":\"Use the get_weather tool exactly once, then answer in one short sentence.\"},{\"role\":\"user\",\"content\":\"What is the weather in Paris?\"}],\"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}}}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_tokens\":80,\"temperature\":0}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": ": OPENROUTER PROCESSING\n\n: OPENROUTER PROCESSING\n\ndata: {\"id\":\"gen-1778031308-dVa9axcHcOlG9GcilZkz\",\"object\":\"chat.completion.chunk\",\"created\":1778031308,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"id\":\"call_4A7V7UN36HXCUUn8qAOQaKGw\",\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"arguments\":\"\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031308-dVa9axcHcOlG9GcilZkz\",\"object\":\"chat.completion.chunk\",\"created\":1778031308,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031308-dVa9axcHcOlG9GcilZkz\",\"object\":\"chat.completion.chunk\",\"created\":1778031308,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"{\\\"\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031308-dVa9axcHcOlG9GcilZkz\",\"object\":\"chat.completion.chunk\",\"created\":1778031308,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"city\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031308-dVa9axcHcOlG9GcilZkz\",\"object\":\"chat.completion.chunk\",\"created\":1778031308,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"\\\":\\\"\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031308-dVa9axcHcOlG9GcilZkz\",\"object\":\"chat.completion.chunk\",\"created\":1778031308,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"Paris\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031308-dVa9axcHcOlG9GcilZkz\",\"object\":\"chat.completion.chunk\",\"created\":1778031308,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"\\\"}\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031308-dVa9axcHcOlG9GcilZkz\",\"object\":\"chat.completion.chunk\",\"created\":1778031308,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"service_tier\":\"default\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":\"tool_calls\",\"native_finish_reason\":\"completed\"}]}\n\ndata: {\"id\":\"gen-1778031308-dVa9axcHcOlG9GcilZkz\",\"object\":\"chat.completion.chunk\",\"created\":1778031308,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"service_tier\":\"default\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":\"tool_calls\",\"native_finish_reason\":\"completed\"}],\"usage\":{\"prompt_tokens\":69,\"completion_tokens\":18,\"total_tokens\":87,\"cost\":0.000885,\"is_byok\":false,\"prompt_tokens_details\":{\"cached_tokens\":0,\"cache_write_tokens\":0,\"audio_tokens\":0,\"video_tokens\":0},\"cost_details\":{\"upstream_inference_cost\":0.000885,\"upstream_inference_prompt_cost\":0.000345,\"upstream_inference_completions_cost\":0.00054},\"completion_tokens_details\":{\"reasoning_tokens\":0,\"image_tokens\":0,\"audio_tokens\":0}}}\n\ndata: [DONE]\n\n"
+      }
+    },
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://openrouter.ai/api/v1/chat/completions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"openai/gpt-5.5\",\"messages\":[{\"role\":\"system\",\"content\":\"Use the get_weather tool exactly once, then answer in one short sentence.\"},{\"role\":\"user\",\"content\":\"What is the weather in Paris?\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_4A7V7UN36HXCUUn8qAOQaKGw\",\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"arguments\":\"{\\\"city\\\":\\\"Paris\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_4A7V7UN36HXCUUn8qAOQaKGw\",\"content\":\"{\\\"temperature\\\":22,\\\"condition\\\":\\\"sunny\\\"}\"}],\"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}}}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_tokens\":80,\"temperature\":0}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": ": OPENROUTER PROCESSING\n\n: OPENROUTER PROCESSING\n\ndata: {\"id\":\"gen-1778031310-JUYfFzDbun699uUYoA4N\",\"object\":\"chat.completion.chunk\",\"created\":1778031310,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"Paris\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031310-JUYfFzDbun699uUYoA4N\",\"object\":\"chat.completion.chunk\",\"created\":1778031310,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\" is\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031310-JUYfFzDbun699uUYoA4N\",\"object\":\"chat.completion.chunk\",\"created\":1778031310,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\" sunny\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031310-JUYfFzDbun699uUYoA4N\",\"object\":\"chat.completion.chunk\",\"created\":1778031310,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\" and\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031310-JUYfFzDbun699uUYoA4N\",\"object\":\"chat.completion.chunk\",\"created\":1778031310,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\" \",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031310-JUYfFzDbun699uUYoA4N\",\"object\":\"chat.completion.chunk\",\"created\":1778031310,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"22\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031310-JUYfFzDbun699uUYoA4N\",\"object\":\"chat.completion.chunk\",\"created\":1778031310,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"°C\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031310-JUYfFzDbun699uUYoA4N\",\"object\":\"chat.completion.chunk\",\"created\":1778031310,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\".\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031310-JUYfFzDbun699uUYoA4N\",\"object\":\"chat.completion.chunk\",\"created\":1778031310,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"service_tier\":\"default\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":\"stop\",\"native_finish_reason\":\"completed\"}]}\n\ndata: {\"id\":\"gen-1778031310-JUYfFzDbun699uUYoA4N\",\"object\":\"chat.completion.chunk\",\"created\":1778031310,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"service_tier\":\"default\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":\"stop\",\"native_finish_reason\":\"completed\"}],\"usage\":{\"prompt_tokens\":108,\"completion_tokens\":12,\"total_tokens\":120,\"cost\":0.0009,\"is_byok\":false,\"prompt_tokens_details\":{\"cached_tokens\":0,\"cache_write_tokens\":0,\"audio_tokens\":0,\"video_tokens\":0},\"cost_details\":{\"upstream_inference_cost\":0.0009,\"upstream_inference_prompt_cost\":0.00054,\"upstream_inference_completions_cost\":0.00036},\"completion_tokens_details\":{\"reasoning_tokens\":0,\"image_tokens\":0,\"audio_tokens\":0}}}\n\ndata: [DONE]\n\n"
+      }
+    }
+  ]
+}

packages/ai/test/fixtures/recordings/openai-compatible-chat/openrouter-streams-text.json

@@ -0,0 +1,28 @@
+{
+  "version": 1,
+  "metadata": {
+    "name": "openai-compatible-chat/openrouter-streams-text",
+    "recordedAt": "2026-05-06T01:35:06.767Z",
+    "tags": ["prefix:openai-compatible-chat", "protocol:openai-compatible-chat", "provider:openrouter"]
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://openrouter.ai/api/v1/chat/completions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"openai/gpt-4o-mini\",\"messages\":[{\"role\":\"system\",\"content\":\"You are concise.\"},{\"role\":\"user\",\"content\":\"Reply with exactly: Hello!\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_tokens\":20,\"temperature\":0}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": ": OPENROUTER PROCESSING\n\ndata: {\"id\":\"gen-1778031306-UD7bR0I1JNCsPvVzlXat\",\"object\":\"chat.completion.chunk\",\"created\":1778031306,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"Azure\",\"system_fingerprint\":\"fp_eb37e061ec\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"Hello\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031306-UD7bR0I1JNCsPvVzlXat\",\"object\":\"chat.completion.chunk\",\"created\":1778031306,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"Azure\",\"system_fingerprint\":\"fp_eb37e061ec\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"!\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031306-UD7bR0I1JNCsPvVzlXat\",\"object\":\"chat.completion.chunk\",\"created\":1778031306,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"Azure\",\"system_fingerprint\":\"fp_eb37e061ec\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":\"stop\",\"native_finish_reason\":\"stop\"}]}\n\ndata: {\"id\":\"gen-1778031306-UD7bR0I1JNCsPvVzlXat\",\"object\":\"chat.completion.chunk\",\"created\":1778031306,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"Azure\",\"system_fingerprint\":\"fp_eb37e061ec\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":\"stop\",\"native_finish_reason\":\"stop\"}],\"usage\":{\"prompt_tokens\":21,\"completion_tokens\":3,\"total_tokens\":24,\"cost\":0.00000495,\"is_byok\":false,\"prompt_tokens_details\":{\"cached_tokens\":0,\"cache_write_tokens\":0,\"audio_tokens\":0,\"video_tokens\":0},\"cost_details\":{\"upstream_inference_cost\":0.00000495,\"upstream_inference_prompt_cost\":0.00000315,\"upstream_inference_completions_cost\":0.0000018},\"completion_tokens_details\":{\"reasoning_tokens\":0,\"image_tokens\":0,\"audio_tokens\":0}}}\n\ndata: [DONE]\n\n"
+      }
+    }
+  ]
+}

packages/ai/test/fixtures/recordings/openai-compatible-chat/openrouter-streams-tool-call.json

@@ -0,0 +1,28 @@
+{
+  "version": 1,
+  "metadata": {
+    "name": "openai-compatible-chat/openrouter-streams-tool-call",
+    "recordedAt": "2026-05-06T01:35:07.466Z",
+    "tags": ["prefix:openai-compatible-chat", "protocol:openai-compatible-chat", "provider:openrouter", "tool"]
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://openrouter.ai/api/v1/chat/completions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"openai/gpt-4o-mini\",\"messages\":[{\"role\":\"system\",\"content\":\"Call tools exactly as requested.\"},{\"role\":\"user\",\"content\":\"Call get_weather with city exactly Paris.\"}],\"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}}}],\"tool_choice\":{\"type\":\"function\",\"function\":{\"name\":\"get_weather\"}},\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_tokens\":80,\"temperature\":0}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": ": OPENROUTER PROCESSING\n\ndata: {\"id\":\"gen-1778031306-HYzOq04JIk1hZQ4iaNjD\",\"object\":\"chat.completion.chunk\",\"created\":1778031306,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_b6580bbee1\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"id\":\"call_L7mHMq49ZSUTBHjLJfBIP2eT\",\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"arguments\":\"\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031306-HYzOq04JIk1hZQ4iaNjD\",\"object\":\"chat.completion.chunk\",\"created\":1778031306,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_b6580bbee1\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031306-HYzOq04JIk1hZQ4iaNjD\",\"object\":\"chat.completion.chunk\",\"created\":1778031306,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_b6580bbee1\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"{\\\"\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031306-HYzOq04JIk1hZQ4iaNjD\",\"object\":\"chat.completion.chunk\",\"created\":1778031306,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_b6580bbee1\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"city\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031306-HYzOq04JIk1hZQ4iaNjD\",\"object\":\"chat.completion.chunk\",\"created\":1778031306,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_b6580bbee1\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"\\\":\\\"\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031306-HYzOq04JIk1hZQ4iaNjD\",\"object\":\"chat.completion.chunk\",\"created\":1778031306,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_b6580bbee1\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"Paris\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031306-HYzOq04JIk1hZQ4iaNjD\",\"object\":\"chat.completion.chunk\",\"created\":1778031306,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_b6580bbee1\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"\\\"}\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031306-HYzOq04JIk1hZQ4iaNjD\",\"object\":\"chat.completion.chunk\",\"created\":1778031306,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_b6580bbee1\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":\"tool_calls\",\"native_finish_reason\":\"stop\"}]}\n\ndata: {\"id\":\"gen-1778031306-HYzOq04JIk1hZQ4iaNjD\",\"object\":\"chat.completion.chunk\",\"created\":1778031306,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_b6580bbee1\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":\"tool_calls\",\"native_finish_reason\":\"stop\"}],\"usage\":{\"prompt_tokens\":67,\"completion_tokens\":5,\"total_tokens\":72,\"cost\":0.00001305,\"is_byok\":false,\"prompt_tokens_details\":{\"cached_tokens\":0,\"cache_write_tokens\":0,\"audio_tokens\":0,\"video_tokens\":0},\"cost_details\":{\"upstream_inference_cost\":0.00001305,\"upstream_inference_prompt_cost\":0.00001005,\"upstream_inference_completions_cost\":0.000003},\"completion_tokens_details\":{\"reasoning_tokens\":0,\"image_tokens\":0,\"audio_tokens\":0}}}\n\ndata: [DONE]\n\n"
+      }
+    }
+  ]
+}

packages/ai/test/fixtures/recordings/openrouter-messages/openrouter-claude-opus-4-7-tool-loop.json

@@ -1,57 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "provider": "openrouter",
-    "route": "openrouter-messages",
-    "transport": "http",
-    "model": "anthropic/claude-opus-4.7",
-    "tags": [
-      "prefix:openrouter-messages",
-      "provider:openrouter",
-      "flagship",
-      "tool",
-      "tool-loop",
-      "golden"
-    ],
-    "name": "openrouter-messages/openrouter-claude-opus-4-7-tool-loop",
-    "recordedAt": "2026-09-30T03:26:16.603Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://openrouter.ai/api/v1/messages",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"anthropic/claude-opus-4.7\",\"system\":[{\"type\":\"text\",\"text\":\"Use the get_weather tool exactly once. After the tool result, reply exactly: Paris is sunny.\"}],\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is the weather in Paris?\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"stream\":true,\"max_tokens\":80,\"temperature\":0}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
-        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"gen-1790738774-LwBI9xYpi0PJ3zyXvhBe\",\"type\":\"message\",\"role\":\"assistant\",\"container\":null,\"content\":[],\"model\":\"anthropic/claude-opus-4.7\",\"stop_reason\":null,\"stop_details\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":812,\"output_tokens\":1,\"output_tokens_details\":null,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"inference_geo\":\"global\",\"server_tool_use\":null,\"service_tier\":\"standard\",\"speed\":\"standard\"},\"provider\":\"Claude Platform on AWS\"}}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"tool_use\",\"id\":\"toolu_01SvA3dpQ3bwgAKjQB1d9rL5\",\"caller\":{\"type\":\"direct\"},\"name\":\"get_weather\",\"input\":{}}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"{\\\"city\\\": \\\"Paris\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"\\\"}\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"container\":null,\"stop_details\":null,\"stop_reason\":\"tool_use\",\"stop_sequence\":null},\"usage\":{\"input_tokens\":812,\"output_tokens\":66,\"output_tokens_details\":{\"thinking_tokens\":0},\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"server_tool_use\":null,\"service_tier\":\"standard\",\"speed\":\"standard\",\"cost\":0.00571,\"is_byok\":false,\"cost_details\":{\"upstream_inference_cost\":0.00571,\"upstream_inference_prompt_cost\":0.00406,\"upstream_inference_completions_cost\":0.00165}},\"context_management\":null}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\nevent: data\ndata: [DONE]\n\n"
-      }
-    },
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://openrouter.ai/api/v1/messages",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"anthropic/claude-opus-4.7\",\"system\":[{\"type\":\"text\",\"text\":\"Use the get_weather tool exactly once. After the tool result, reply exactly: Paris is sunny.\"}],\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is the weather in Paris?\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"tool_use\",\"id\":\"toolu_01SvA3dpQ3bwgAKjQB1d9rL5\",\"name\":\"get_weather\",\"input\":{\"city\":\"Paris\"}}]},{\"role\":\"user\",\"content\":[{\"type\":\"tool_result\",\"tool_use_id\":\"toolu_01SvA3dpQ3bwgAKjQB1d9rL5\",\"content\":\"{\\\"temperature\\\":22,\\\"condition\\\":\\\"sunny\\\"}\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"stream\":true,\"max_tokens\":80,\"temperature\":0}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
-        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"gen-1790738775-mOcJ0PIOdQqPcuWboQoJ\",\"type\":\"message\",\"role\":\"assistant\",\"container\":null,\"content\":[],\"model\":\"anthropic/claude-opus-4.7\",\"stop_reason\":null,\"stop_details\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":909,\"output_tokens\":9,\"output_tokens_details\":null,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"inference_geo\":\"global\",\"server_tool_use\":null,\"service_tier\":\"standard\",\"speed\":\"standard\"},\"provider\":\"Claude Platform on AWS\"}}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\",\"citations\":[]}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"Paris is sunny.\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"container\":null,\"stop_details\":null,\"stop_reason\":\"end_turn\",\"stop_sequence\":null},\"usage\":{\"input_tokens\":909,\"output_tokens\":12,\"output_tokens_details\":{\"thinking_tokens\":0},\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"server_tool_use\":null,\"service_tier\":\"standard\",\"speed\":\"standard\",\"cost\":0.004845,\"is_byok\":false,\"cost_details\":{\"upstream_inference_cost\":0.004845,\"upstream_inference_prompt_cost\":0.004545,\"upstream_inference_completions_cost\":0.0003}},\"context_management\":null}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\nevent: data\ndata: [DONE]\n\n"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/openrouter-reasoning.json

@@ -2,14 +2,9 @@
   "version": 1,
   "metadata": {
     "model": "anthropic/claude-sonnet-4.6",
-    "tags": [
-      "prefix:openai-compatible-chat",
-      "provider:openrouter",
-      "protocol:openai-chat",
-      "reasoning"
-    ],
+    "tags": ["prefix:openai-compatible-chat", "provider:openrouter", "protocol:openai-chat", "reasoning"],
     "name": "openrouter-reasoning",
-    "recordedAt": "2026-09-30T03:26:02.917Z"
+    "recordedAt": "2026-07-18T11:28:39.267Z"
   },
   "interactions": [
     {
@@ -20,14 +15,14 @@
         "headers": {
           "content-type": "application/json"
         },
-        "body": "{\"model\":\"anthropic/claude-sonnet-4.6\",\"messages\":[{\"role\":\"system\",\"content\":[{\"type\":\"text\",\"text\":\"Think through the arithmetic, then reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]},{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219?\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"store\":false,\"max_completion_tokens\":1536,\"temperature\":0,\"usage\":{\"include\":true},\"reasoning\":{\"max_tokens\":1024}}"
+        "body": "{\"model\":\"anthropic/claude-sonnet-4.6\",\"messages\":[{\"role\":\"system\",\"content\":\"Think through the arithmetic, then reply with only the final integer.\"},{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219?\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"temperature\":0,\"reasoning\":{\"max_tokens\":1024},\"max_completion_tokens\":1536,\"store\":false,\"usage\":{\"include\":true}}"
       },
       "response": {
         "status": 200,
         "headers": {
           "content-type": "text/event-stream"
         },
-        "body": "data: {\"id\":\"gen-1790738761-YbCA1TN8srf01M309CrM\",\"object\":\"chat.completion.chunk\",\"created\":1790738761,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Claude Platform on AWS\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":\"173\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"173\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1790738761-YbCA1TN8srf01M309CrM\",\"object\":\"chat.completion.chunk\",\"created\":1790738761,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Claude Platform on AWS\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":\" × 219\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\" × 219\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\n: OPENROUTER PROCESSING\n\ndata: {\"id\":\"gen-1790738761-YbCA1TN8srf01M309CrM\",\"object\":\"chat.completion.chunk\",\"created\":1790738761,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Claude Platform on AWS\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":\"\\n\\n173 × 200 = 34,600\\n173 × 19 = 173 × 20 - 173 = 3,460 - 173 = 3,287\\n\\n34,600 + 3,287 = 37,887\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"\\n\\n173 × 200 = 34,600\\n173 × 19 = 173 × 20 - 173 = 3,460 - 173 = 3,287\\n\\n34,600 + 3,287 = 37,887\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1790738761-YbCA1TN8srf01M309CrM\",\"object\":\"chat.completion.chunk\",\"created\":1790738761,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Claude Platform on AWS\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"signature\":\"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.eyJlbmRwb2ludF9zbHVnIjoiYW50aHJvcGljL2NsYXVkZS00LjYtc29ubmV0LTIwMjYwMjE3fGNsYXVkZS1vbi1hd3MifQ\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1790738761-YbCA1TN8srf01M309CrM\",\"object\":\"chat.completion.chunk\",\"created\":1790738761,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Claude Platform on AWS\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"37887\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1790738761-YbCA1TN8srf01M309CrM\",\"object\":\"chat.completion.chunk\",\"created\":1790738761,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Claude Platform on AWS\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":null},\"finish_reason\":\"stop\",\"native_finish_reason\":\"end_turn\"}]}\n\ndata: {\"id\":\"gen-1790738761-YbCA1TN8srf01M309CrM\",\"object\":\"chat.completion.chunk\",\"created\":1790738761,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Claude Platform on AWS\",\"service_tier\":\"default\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":\"stop\",\"native_finish_reason\":\"end_turn\"}],\"usage\":{\"prompt_tokens\":61,\"completion_tokens\":80,\"total_tokens\":141,\"cost\":0.001383,\"is_byok\":false,\"prompt_tokens_details\":{\"cached_tokens\":0,\"cache_write_tokens\":0,\"audio_tokens\":0,\"video_tokens\":0},\"cost_details\":{\"upstream_inference_cost\":0.001383,\"upstream_inference_prompt_cost\":0.000183,\"upstream_inference_completions_cost\":0.0012},\"completion_tokens_details\":{\"reasoning_tokens\":73,\"image_tokens\":0,\"audio_tokens\":0}}}\n\ndata: [DONE]\n\n"
+        "body": ": OPENROUTER PROCESSING\n\n: OPENROUTER PROCESSING\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":\"173\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"173\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\n: OPENROUTER PROCESSING\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":\" × 219\\n\\n173 × 200 = 34,600\\n173 × 19 = 173 × 20 - 173 = 3,460 - 173 = 3,287\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\" × 219\\n\\n173 × 200 = 34,600\\n173 × 19 = 173 × 20 - 173 = 3,460 - 173 = 3,287\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":\"\\n\\n34,600 + 3,287 = 37,887\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"\\n\\n34,600 + 3,287 = 37,887\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"signature\":\"EtgCCosBCA8YAipA0W4viH3kgBs43Cl5ewwVBPXTQElvzfbA2TLF4iSbKy9ZZDCSDjjAlF3Bs4ELEnP3vrrTuTioC6OB380lXQdyIDIRY2xhdWRlLXNvbm5ldC00LTY4AEIIdGhpbmtpbmdaJDRjMGYwNDZmLTI1ZmQtNDVmYi1iZmIzLWEwOGE4ZTI0OWNhNxIMMiUlJC3x/5p5PuTwGgwlc8eipZyoM94BHwMiMO45uQx/ymeOjbugi7RDVPZ4jZXSIiEbVi2CD7zPjAK5fFQoVGP1HD55v9CER823JCp6Dg5Xb7Lrk6NUd1XN2KTKrttK7mATE+IBrDTFmor/1cNeg+9gjIbxM/jn/6L5HPmh3/esEVu24Q0IGLZVoE7cTgGgxsrceKMD71Jp2XQgIWD8ltsPfWw3gSc4p+z18UuPN6LuR0mHHENTnClHrAPnOrxbDIl4ZwZgMX8YAQ==\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"37887\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":null},\"finish_reason\":\"stop\",\"native_finish_reason\":\"end_turn\"}]}\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"service_tier\":\"default\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":\"stop\",\"native_finish_reason\":\"end_turn\"}],\"usage\":{\"prompt_tokens\":61,\"completion_tokens\":80,\"total_tokens\":141,\"cost\":0.001383,\"is_byok\":false,\"prompt_tokens_details\":{\"cached_tokens\":0,\"cache_write_tokens\":0,\"audio_tokens\":0,\"video_tokens\":0},\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"cost_details\":{\"upstream_inference_cost\":0.001383,\"upstream_inference_prompt_cost\":0.000183,\"upstream_inference_completions_cost\":0.0012},\"completion_tokens_details\":{\"reasoning_tokens\":29,\"image_tokens\":0,\"audio_tokens\":0}}}\n\ndata: [DONE]\n\n"
       }
     }
   ]

packages/ai/test/fixtures/recordings/openrouter-responses/openrouter-gpt-4o-mini-text.json

@@ -1,37 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "provider": "openrouter",
-    "route": "openrouter-responses",
-    "transport": "http",
-    "model": "openai/gpt-4o-mini",
-    "tags": [
-      "prefix:openrouter-responses",
-      "provider:openrouter",
-      "text",
-      "golden"
-    ],
-    "name": "openrouter-responses/openrouter-gpt-4o-mini-text",
-    "recordedAt": "2026-09-30T16:23:26.190Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://openrouter.ai/api/v1/responses",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"openai/gpt-4o-mini\",\"input\":[{\"type\":\"message\",\"role\":\"user\",\"content\":[{\"type\":\"input_text\",\"text\":\"Reply exactly with: Hello!\"}]}],\"instructions\":\"You are concise.\",\"store\":false,\"include\":[\"reasoning.encrypted_content\"],\"max_output_tokens\":40,\"temperature\":0,\"stream\":true}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
-        "body": "data: {\"type\":\"response.created\",\"response\":{\"id\":\"gen-1790785405-TibUw8IxcUdeh1aIMexG\",\"object\":\"response\",\"created_at\":1790785405,\"model\":\"openai/gpt-4o-mini\",\"status\":\"in_progress\",\"completed_at\":null,\"output\":[],\"error\":null,\"incomplete_details\":null,\"tools\":[],\"tool_choice\":\"auto\",\"parallel_tool_calls\":true,\"max_output_tokens\":40,\"temperature\":0,\"top_p\":1,\"presence_penalty\":0,\"frequency_penalty\":0,\"top_logprobs\":0,\"max_tool_calls\":null,\"metadata\":{},\"background\":false,\"previous_response_id\":null,\"service_tier\":\"auto\",\"truncation\":\"disabled\",\"store\":false,\"instructions\":\"You are concise.\",\"text\":{\"format\":{\"type\":\"text\"}},\"reasoning\":null,\"safety_identifier\":null,\"prompt_cache_key\":null,\"prompt_cache_options\":null,\"usage\":null},\"sequence_number\":0}\n\ndata: {\"type\":\"response.in_progress\",\"response\":{\"id\":\"gen-1790785405-TibUw8IxcUdeh1aIMexG\",\"object\":\"response\",\"created_at\":1790785405,\"model\":\"openai/gpt-4o-mini\",\"status\":\"in_progress\",\"completed_at\":null,\"output\":[],\"error\":null,\"incomplete_details\":null,\"tools\":[],\"tool_choice\":\"auto\",\"parallel_tool_calls\":true,\"max_output_tokens\":40,\"temperature\":0,\"top_p\":1,\"presence_penalty\":0,\"frequency_penalty\":0,\"top_logprobs\":0,\"max_tool_calls\":null,\"metadata\":{},\"background\":false,\"previous_response_id\":null,\"service_tier\":\"auto\",\"truncation\":\"disabled\",\"store\":false,\"instructions\":\"You are concise.\",\"text\":{\"format\":{\"type\":\"text\"}},\"reasoning\":null,\"safety_identifier\":null,\"prompt_cache_key\":null,\"prompt_cache_options\":null,\"usage\":null},\"sequence_number\":1}\n\ndata: {\"type\":\"response.output_item.added\",\"output_index\":0,\"item\":{\"id\":\"msg_tmp_2aq1aouoqhw\",\"type\":\"message\",\"status\":\"in_progress\",\"role\":\"assistant\",\"content\":[]},\"sequence_number\":2}\n\ndata: {\"type\":\"response.content_part.added\",\"output_index\":0,\"item_id\":\"msg_tmp_2aq1aouoqhw\",\"content_index\":0,\"part\":{\"type\":\"output_text\",\"text\":\"\",\"annotations\":[],\"logprobs\":[]},\"sequence_number\":3}\n\ndata: {\"type\":\"response.output_text.delta\",\"output_index\":0,\"item_id\":\"msg_tmp_2aq1aouoqhw\",\"content_index\":0,\"delta\":\"Hello\",\"logprobs\":[],\"sequence_number\":4}\n\ndata: {\"type\":\"response.output_text.delta\",\"output_index\":0,\"item_id\":\"msg_tmp_2aq1aouoqhw\",\"content_index\":0,\"delta\":\"!\",\"logprobs\":[],\"sequence_number\":5}\n\ndata: {\"type\":\"response.output_text.done\",\"output_index\":0,\"item_id\":\"msg_tmp_2aq1aouoqhw\",\"content_index\":0,\"text\":\"Hello!\",\"logprobs\":[],\"sequence_number\":6}\n\ndata: {\"type\":\"response.content_part.done\",\"output_index\":0,\"item_id\":\"msg_tmp_2aq1aouoqhw\",\"content_index\":0,\"part\":{\"type\":\"output_text\",\"text\":\"Hello!\",\"annotations\":[],\"logprobs\":[]},\"sequence_number\":7}\n\ndata: {\"type\":\"response.output_item.done\",\"output_index\":0,\"item\":{\"id\":\"msg_tmp_2aq1aouoqhw\",\"type\":\"message\",\"status\":\"completed\",\"role\":\"assistant\",\"content\":[{\"type\":\"output_text\",\"text\":\"Hello!\",\"annotations\":[],\"logprobs\":[]}]},\"sequence_number\":8}\n\ndata: {\"type\":\"response.completed\",\"response\":{\"id\":\"gen-1790785405-TibUw8IxcUdeh1aIMexG\",\"object\":\"response\",\"created_at\":1790785405,\"model\":\"openai/gpt-4o-mini\",\"status\":\"completed\",\"completed_at\":1790785406,\"output\":[{\"id\":\"msg_tmp_2aq1aouoqhw\",\"type\":\"message\",\"role\":\"assistant\",\"status\":\"completed\",\"content\":[{\"type\":\"output_text\",\"text\":\"Hello!\",\"annotations\":[],\"logprobs\":[]}]}],\"error\":null,\"incomplete_details\":null,\"tools\":[],\"tool_choice\":\"auto\",\"parallel_tool_calls\":true,\"max_output_tokens\":40,\"temperature\":0,\"top_p\":1,\"presence_penalty\":0,\"frequency_penalty\":0,\"top_logprobs\":0,\"max_tool_calls\":null,\"metadata\":{},\"background\":false,\"previous_response_id\":null,\"service_tier\":\"default\",\"truncation\":\"disabled\",\"store\":false,\"instructions\":\"You are concise.\",\"text\":{\"format\":{\"type\":\"text\"}},\"reasoning\":null,\"safety_identifier\":null,\"prompt_cache_key\":null,\"prompt_cache_options\":null,\"usage\":{\"input_tokens\":21,\"input_tokens_details\":{\"cached_tokens\":0},\"output_tokens\":2,\"output_tokens_details\":{\"reasoning_tokens\":0},\"total_tokens\":23,\"cost\":0.00000435,\"is_byok\":false,\"cost_details\":{\"upstream_inference_cost\":0.00000435,\"upstream_inference_input_cost\":0.00000315,\"upstream_inference_output_cost\":0.0000012}}},\"sequence_number\":9}\n\ndata: [DONE]\n\n"
-      }
-    }
-  ]
-}

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

@@ -1,6 +1,6 @@
 import { describe, expect, test } from "bun:test"
 import { isContextOverflow } from "../src/index.js"
-import { classifyProviderFailure, providerErrorMessage } from "../src/provider-error.js"
+import { classifyProviderFailure } from "../src/provider-error.js"
 
 describe("provider error classification", () => {
   test("classifies provider token limit messages as context overflow", () => {
@@ -355,34 +355,6 @@ describe("provider error rawBody classification", () => {
     }
   })
 
-  test("classifies Workers AI context window rejections as context overflow despite HTTP 413", () => {
-    const message =
-      "AiError: Ai: The estimated number of input and maximum output tokens (900047) exceeded this model context window limit (32000). (17851589-f2e6-405d-b67c-5550e52ee1c1)"
-    const reason = classifyProviderFailure({
-      message,
-      status: 413,
-      rawBody: JSON.stringify({ errors: [{ message, code: 5021 }], success: false, result: {}, messages: [] }),
-    })
-    expect(reason._tag === "InvalidRequest" ? reason.classification : reason._tag).toBe("context-overflow")
-  })
-
-  test("classifies Amazon Nova input token rejections as context overflow", () => {
-    const message =
-      "The model returned the following errors: Input Tokens Exceeded: Number of input tokens exceeds maximum length. Please update the input to try again."
-    const reason = classifyProviderFailure({
-      message,
-      rawBody: JSON.stringify({
-        headers: {
-          ":exception-type": { type: "string", value: "validationException" },
-          ":content-type": { type: "string", value: "application/json" },
-          ":message-type": { type: "string", value: "exception" },
-        },
-        body: JSON.stringify({ message }),
-      }),
-    })
-    expect(reason._tag === "InvalidRequest" ? reason.classification : reason._tag).toBe("context-overflow")
-  })
-
   test("classifies Google invalid API keys as authentication failures", () => {
     const rawBody = JSON.stringify({
       error: {
@@ -424,42 +396,3 @@ describe("provider error rawBody classification", () => {
     ).toBe("QuotaExceeded")
   })
 })
-
-describe("provider error messages", () => {
-  test("reads messages from common error body layouts", () => {
-    expect(
-      [
-        '{"error":{"message":"Invalid API Key","type":"invalid_request_error"}}',
-        '{"code":"invalid-argument","error":"Incorrect API key provided."}',
-        '{"message":"1 validation error detected"}',
-        '{"Message":"Invalid API Key format: Must start with pre-defined prefix"}',
-        '{"type":"about:blank","title":"Gone","status":410,"detail":"The model has reached its end of life"}',
-        '{"result":null,"success":false,"errors":[{"code":10000,"message":"Authentication error"}]}',
-      ].map(providerErrorMessage),
-    ).toEqual([
-      "Invalid API Key",
-      "Incorrect API key provided.",
-      "1 validation error detected",
-      "Invalid API Key format: Must start with pre-defined prefix",
-      "The model has reached its end of life",
-      "Authentication error",
-    ])
-  })
-
-  test("prefers the nested error message over a top-level message", () => {
-    expect(providerErrorMessage('{"message":"Bad Request","error":{"message":"model not found"}}')).toBe(
-      "model not found",
-    )
-  })
-
-  test("ignores blank, non-string, and non-JSON messages", () => {
-    expect(
-      [
-        '{"error":{"message":"  "}}',
-        '{"message":{"detail":[{"msg":"too high"}]}}',
-        '{"errors":[]}',
-        "invalid parameter",
-      ].map(providerErrorMessage),
-    ).toEqual([undefined, undefined, undefined, undefined])
-  })
-})

packages/ai/test/provider/bedrock-converse-thinking-binding.recorded.test.ts

@@ -1,103 +0,0 @@
-import { describe, expect } from "bun:test"
-import { Effect } from "effect"
-import { LLM, LLMRequest, Message } from "../../src/index.js"
-import { LLMClient } from "../../src/route.js"
-import { AmazonBedrock } from "../../src/providers.js"
-import { recordedTests } from "../recorded-test.js"
-
-const RECORDING_REGION = process.env.BEDROCK_RECORDING_REGION ?? "us-east-1"
-
-// Claude Opus 5.5 enforces the conversation-prefix check on Bedrock, so a changed system prompt is a real
-// mismatch. Override with BEDROCK_BINDING_MODEL_ID for another model that enforces it.
-const modelID = process.env.BEDROCK_BINDING_MODEL_ID ?? "global.anthropic.claude-opus-5-5"
-
-// Mirrors the "high" variant, so the recording covers the real overlay and default merge.
-const model = (blockBinding?: { readonly prefix_mismatch_behavior: string }) =>
-  AmazonBedrock.model(modelID, {
-    apiKey: process.env.AWS_BEARER_TOKEN_BEDROCK ?? "fixture",
-    region: RECORDING_REGION,
-    body: {
-      additionalModelRequestFields: {
-        thinking: { type: "adaptive", display: "summarized", ...(blockBinding ? { block_binding: blockBinding } : {}) },
-        output_config: { effort: "high" },
-      },
-    },
-  })
-
-const question = "How many positive integers below 5000 have exactly 12 positive divisors? Reply with the number only."
-
-const first = LLM.request({
-  id: "recorded_bedrock_thinking_binding_first",
-  model: model(),
-  system: "You are a concise assistant.",
-  prompt: question,
-  cache: "none",
-  generation: { maxTokens: 12_000 },
-})
-
-const recorded = recordedTests({
-  prefix: "bedrock-converse-thinking-binding",
-  provider: "amazon-bedrock",
-  protocol: "bedrock-converse",
-  requires: ["AWS_BEARER_TOKEN_BEDROCK"],
-})
-
-describe("Bedrock Converse thinking binding recorded", () => {
-  recorded.effect.with("accepts the default binding with no thinking configured", { tags: ["reasoning"] }, () =>
-    Effect.gen(function* () {
-      const response = yield* LLMClient.generate(
-        LLM.request({
-          id: "recorded_bedrock_thinking_binding_default",
-          model: AmazonBedrock.model(modelID, {
-            apiKey: process.env.AWS_BEARER_TOKEN_BEDROCK ?? "fixture",
-            region: RECORDING_REGION,
-          }),
-          system: "Reply with the single word 'Hello'.",
-          prompt: "Say hello.",
-          cache: "none",
-          generation: { maxTokens: 1_024 },
-        }),
-      )
-
-      expect(response.finishReason?.normalized).toBe("stop")
-      expect(response.text).toMatch(/hello/i)
-    }),
-  )
-
-  recorded.effect.with(
-    "keeps a session working after the system prompt changes",
-    { tags: ["reasoning"] },
-    () =>
-      Effect.gen(function* () {
-        const turn = yield* LLMClient.generate(first)
-        // The signed thinking block is what Bedrock binds to the first system prompt.
-        expect(turn.message.content.some((part) => part.type === "reasoning")).toBe(true)
-
-        // Replay the assistant turn under a different system prompt, as a prompt rebuild or compaction would.
-        const next = LLMRequest.update(first, {
-          id: "recorded_bedrock_thinking_binding_next",
-          system: [{ type: "text", text: "You are a concise assistant. Today is Monday." }],
-          messages: [
-            ...first.messages,
-            Message.assistant(turn.message.content),
-            Message.user("Now double it. Reply with the number only."),
-          ],
-        })
-
-        const bound = yield* LLMClient.generate(next)
-        expect(bound.finishReason?.normalized).toBe("stop")
-        expect(bound.text).toMatch(/\d/)
-
-        // The same replay is rejected when the caller asks for the default `error` behavior, proving the check is
-        // enforced and that the default `drop_block` is what let the request above through.
-        const rejected = yield* LLMClient.generate(
-          LLMRequest.update(next, {
-            id: "recorded_bedrock_thinking_binding_error",
-            model: model({ prefix_mismatch_behavior: "error" }),
-          }),
-        ).pipe(Effect.flip)
-        expect(rejected.message).toContain("bound to a different conversation")
-      }),
-    60_000,
-  )
-})

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

@@ -1,100 +0,0 @@
-import { describe, expect } from "bun:test"
-import { Effect } from "effect"
-import { GenerationOptions, LanguageModel, LLM } from "../../src/index.js"
-import { compileRequest } from "../../src/route/client.js"
-import { AmazonBedrock } from "../../src/providers.js"
-import { it } from "../lib/effect.js"
-
-const binding = { prefix_mismatch_behavior: "drop_block" }
-const beta = ["thinking-binding-controls-2026-08-01"]
-
-const bedrock = (id: string, settings: Parameters<typeof AmazonBedrock.model>[1] = {}) =>
-  AmazonBedrock.model(id, { baseURL: "https://bedrock-runtime.test", apiKey: "test-bearer", ...settings })
-
-const fields = (model: LanguageModel, generation?: GenerationOptions) =>
-  compileRequest(
-    LLM.request({ id: "req_1", model, system: "You are concise.", prompt: "Say hello.", cache: "none", generation }),
-  ).pipe(Effect.map((prepared) => prepared.body.additionalModelRequestFields))
-
-describe("Bedrock Converse thinking block binding", () => {
-  for (const id of [
-    "global.anthropic.claude-fable-5-1",
-    "us.anthropic.claude-fable-5-1-v1:0",
-    "anthropic.claude-fable-5.1",
-    "anthropic.claude-mythos-5-1",
-    "us.anthropic.claude-opus-5-5",
-    "global.anthropic.claude-sonnet-5-5",
-    "anthropic.claude-opus-6",
-  ]) {
-    it.effect(`defaults adaptive thinking to drop_block with the beta for ${id}`, () =>
-      Effect.gen(function* () {
-        expect(yield* fields(bedrock(id))).toEqual({
-          thinking: { type: "adaptive", block_binding: binding },
-          anthropic_beta: beta,
-        })
-      }),
-    )
-  }
-
-  for (const id of [
-    "global.anthropic.claude-opus-5",
-    "us.anthropic.claude-sonnet-5",
-    "global.anthropic.claude-fable-5",
-    "anthropic.claude-fable-5-v1:0",
-    "global.anthropic.claude-opus-4-8",
-    "us.anthropic.claude-opus-4-5-20251101-v1:0",
-    "us.anthropic.claude-haiku-4-5-20251001-v1:0",
-    "anthropic.claude-3-5-sonnet-20241022-v2:0",
-    "us.amazon.nova-2-lite-v1:0",
-  ]) {
-    it.effect(`leaves ${id} untouched`, () =>
-      Effect.gen(function* () {
-        expect(yield* fields(bedrock(id))).toBeUndefined()
-      }),
-    )
-  }
-
-  it.effect("binds a manual thinking budget and keeps top_k", () =>
-    Effect.gen(function* () {
-      expect(
-        yield* fields(
-          bedrock("global.anthropic.claude-fable-5-1", { thinking: { type: "enabled", budgetTokens: 4_000 } }),
-          GenerationOptions.make({ maxTokens: 64_000, topK: 40 }),
-        ),
-      ).toEqual({
-        top_k: 40,
-        thinking: { type: "enabled", budget_tokens: 4_000, block_binding: binding },
-        anthropic_beta: beta,
-      })
-    }),
-  )
-
-  it.effect("does not bind disabled thinking", () =>
-    Effect.gen(function* () {
-      expect(
-        yield* fields(
-          bedrock("global.anthropic.claude-fable-5-1", {
-            body: { additionalModelRequestFields: { thinking: { type: "disabled" } } },
-          }),
-        ),
-      ).toBeUndefined()
-    }),
-  )
-
-  it.effect("honors the compatibility override in both directions", () =>
-    Effect.gen(function* () {
-      const arn = "arn:aws:bedrock:us-east-1:123456789012:application-inference-profile/abc123"
-      expect(yield* fields(bedrock(arn))).toBeUndefined()
-      expect(
-        yield* fields(LanguageModel.update(bedrock(arn), { compatibility: { supportsThinkingBlockBinding: true } })),
-      ).toEqual({ thinking: { type: "adaptive", block_binding: binding }, anthropic_beta: beta })
-      expect(
-        yield* fields(
-          LanguageModel.update(bedrock("global.anthropic.claude-fable-5-1"), {
-            compatibility: { supportsThinkingBlockBinding: false },
-          }),
-        ),
-      ).toBeUndefined()
-    }),
-  )
-})

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

@@ -1301,11 +1301,11 @@ describe("Bedrock Converse route", () => {
           ),
         ),
       )
-      expect(response.events.filter((event) => event.type === "reasoning-delta")).toEqual([])
-      expect(response.events.find((event) => event.type === "reasoning-start")).toEqual({
-        type: "reasoning-start",
+      expect(response.events.filter((event) => event.type === "reasoning-delta" && event.text === "").at(-1)).toEqual({
+        type: "reasoning-delta",
         id: "reasoning-0",
-        providerMetadata: undefined,
+        text: "",
+        providerMetadata: { bedrock: { redactedData } },
       })
       expect(response.events.find((event) => event.type === "reasoning-end")).toEqual({
         type: "reasoning-end",
@@ -1383,13 +1383,6 @@ describe("Bedrock Converse route", () => {
         ),
       )
 
-      expect(response.events.filter((event) => event.type === "reasoning-delta")).toEqual([])
-      expect(response.events.find((event) => event.type === "reasoning-end")).toEqual({
-        type: "reasoning-end",
-        id: "reasoning-0",
-        providerMetadata: { bedrock: { redactedData: "AQID" } },
-        text: undefined,
-      })
       expect(response.message.content).toEqual([
         { type: "reasoning", text: "", providerMetadata: { bedrock: { redactedData: "AQID" } } },
       ])

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

@@ -242,14 +242,14 @@ describeRecordedGoldenScenarios([
   },
   {
     name: "OpenRouter gpt-4o-mini",
-    prefix: "openrouter-responses",
+    prefix: "openai-compatible-chat",
     model: openrouter,
     requires: ["OPENROUTER_API_KEY"],
     scenarios: ["text", "tool-call", "tool-loop"],
   },
   {
     name: "OpenRouter gpt-5.5",
-    prefix: "openrouter-responses",
+    prefix: "openai-compatible-chat",
     model: openrouterGpt55,
     requires: ["OPENROUTER_API_KEY"],
     tags: ["flagship"],
@@ -257,20 +257,10 @@ describeRecordedGoldenScenarios([
   },
   {
     name: "OpenRouter Claude Opus 4.7",
-    prefix: "openrouter-messages",
+    prefix: "openai-compatible-chat",
     model: openrouterOpus,
     requires: ["OPENROUTER_API_KEY"],
     tags: ["flagship"],
     scenarios: ["tool-loop"],
   },
-  {
-    name: "OpenRouter Grok 4.3",
-    prefix: "openrouter-responses",
-    model: OpenRouter.configure({
-      apiKey: process.env.OPENROUTER_API_KEY ?? "fixture",
-      providerOptions: { reasoning: { effort: "none" } },
-    }).model("x-ai/grok-4.3"),
-    requires: ["OPENROUTER_API_KEY"],
-    scenarios: ["tool-loop"],
-  },
 ])

packages/ai/test/provider/meta-capabilities.test.ts

@@ -33,12 +33,7 @@ it.effect("Meta selects Messages and lowers native search alongside ordinary fun
       output_config: { effort: "low" },
       tools: [
         { type: "web_search", name: "web_search", user_location: { type: "approximate", country: "US" } },
-        {
-          name: "lookup",
-          description: "Lookup",
-          input_schema: { type: "object" },
-          cache_control: { type: "ephemeral" },
-        },
+        { name: "lookup", description: "Lookup", input_schema: { type: "object" } },
       ],
     })
     const entrypoint = yield* Effect.promise(() => import("@opencode/ai/providers/meta/messages"))

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

@@ -303,8 +303,7 @@ describe("Mistral Chat", () => {
           fixedResponse(
             sseEvents(
               chunk({ content: [{ type: "thinking", thinking: [], marker: "empty" }] }),
-              chunk({ content: [{ type: "thinking", thinking: [{ type: "text", text: "Con" }] }] }),
-              chunk({ content: [{ type: "thinking", thinking: [{ type: "text", text: "sider" }], closed: true }] }),
+              chunk({ content: [{ type: "thinking", thinking: [{ type: "text", text: "Consider" }] }] }),
               chunk({ content: [{ type: "text", text: "Answer" }] }),
               chunk({}, "stop"),
             ),
@@ -314,11 +313,6 @@ describe("Mistral Chat", () => {
 
       expect(response.reasoning).toBe("Consider")
       expect(response.text).toBe("Answer")
-      expect(response.events.find(LLMEvent.is.reasoningStart)?.providerMetadata).toBeUndefined()
-      expect(response.events.filter(LLMEvent.is.reasoningDelta).map((event) => [event.text, event.providerMetadata])).toEqual([
-        ["Con", undefined],
-        ["sider", undefined],
-      ])
       expect(response.message.content).toEqual([
         {
           type: "reasoning",
@@ -327,12 +321,8 @@ describe("Mistral Chat", () => {
             mistral: {
               thinking: {
                 type: "thinking",
-                thinking: [
-                  { type: "text", text: "Con" },
-                  { type: "text", text: "sider" },
-                ],
+                thinking: [{ type: "text", text: "Consider" }],
                 marker: "empty",
-                closed: true,
               },
             },
           },
@@ -347,12 +337,8 @@ describe("Mistral Chat", () => {
           content: [
             {
               type: "thinking",
-              thinking: [
-                { type: "text", text: "Con" },
-                { type: "text", text: "sider" },
-              ],
+              thinking: [{ type: "text", text: "Consider" }],
               marker: "empty",
-              closed: true,
             },
             { type: "text", text: "Answer" },
           ],
@@ -371,8 +357,6 @@ describe("Mistral Chat", () => {
           ),
         ),
       )
-      expect(response.events.find(LLMEvent.is.reasoningStart)?.providerMetadata).toBeUndefined()
-      expect(response.events.filter(LLMEvent.is.reasoningDelta)).toEqual([])
       expect(response.message.content).toEqual([
         {
           type: "reasoning",

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

@@ -16,7 +16,7 @@ const cases = [
       OpenRouter.configure({
         apiKey: process.env.OPENROUTER_API_KEY ?? "fixture",
         providerOptions: { reasoning: { max_tokens: 1024 } },
-      }).chat("anthropic/claude-sonnet-4.6"),
+      }).model("anthropic/claude-sonnet-4.6"),
       { compatibility: { reasoningField: "reasoning" } },
     ),
     requires: ["OPENROUTER_API_KEY"],
@@ -89,14 +89,7 @@ for (const item of cases) {
 
           const replay = yield* compileRequest(LLM.request({ model: item.model, messages: [response.message] }))
           expect(replay.body.messages).toMatchObject([
-            {
-              role: "assistant",
-              content:
-                item.model.route.id === "openrouter"
-                  ? [{ type: "text", text: response.text, cache_control: { type: "ephemeral" } }]
-                  : response.text,
-              reasoning: response.reasoning,
-            },
+            { role: "assistant", content: response.text, reasoning: response.reasoning },
           ])
           const replayDetails =
             replay.body.messages[0]?.role === "assistant" ? replay.body.messages[0].reasoning_details : undefined

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

@@ -4996,42 +4996,6 @@ describe("OpenAI Responses route", () => {
     }),
   )
 
-  it.effect("retains the token-sharing HTTP 429 body for retry hooks", () =>
-    Effect.gen(function* () {
-      const body = JSON.stringify({ error: { code: "subscription_sharing_usage_limit_exceeded", message: "Rate limit exceeded" } })
-      const error = yield* LLMClient.generate(request).pipe(
-        Effect.provide(
-          fixedResponse(body, { status: 429, headers: { "content-type": "application/json" } }),
-        ),
-        Effect.flip,
-      )
-
-      expect(error).toMatchObject({ reason: { _tag: "RateLimit", http: { status: 429 }, body } })
-    }),
-  )
-
-  it.effect("retains the token-sharing response.failed event for retry hooks", () =>
-    Effect.gen(function* () {
-      const error = yield* LLMClient.generate(request).pipe(
-        Effect.provide(
-          fixedResponse(
-            sseEvents({
-              type: "response.failed",
-              response: {
-                id: "resp_usage_limit",
-                error: { code: "subscription_sharing_usage_limit_exceeded", message: "Rate limit exceeded" },
-              },
-            }),
-          ),
-        ),
-        Effect.flip,
-      )
-
-      expect(error).toMatchObject({ reason: { _tag: "RateLimit" } })
-      expect(error.reason.body).toContain("subscription_sharing_usage_limit_exceeded")
-    }),
-  )
-
   it.effect("surfaces response.failed code when no nested message is present", () =>
     Effect.gen(function* () {
       const error = yield* LLMClient.generate(request).pipe(

packages/ai/test/provider/openrouter-native.recorded.test.ts

@@ -1,83 +0,0 @@
-import { expect } from "bun:test"
-import { Effect } from "effect"
-import { LLM, LLMRequest, Message } from "../../src/index.js"
-import { OpenRouter } from "../../src/providers/openrouter.js"
-import { LLMClient } from "../../src/route.js"
-import { recordedTests } from "../recorded-test.js"
-
-const recorded = recordedTests({
-  prefix: "openrouter-responses",
-  provider: "openrouter",
-  protocol: "openrouter-responses",
-  requires: ["OPENROUTER_API_KEY"],
-})
-
-recorded.effect.with(
-  "continues Meta reasoning through a namespaced tool loop",
-  { cassette: "openrouter-responses/openrouter-muse-spark-1-3-tool-loop", tags: ["reasoning", "tool-loop"] },
-  () =>
-    Effect.gen(function* () {
-      const tool = {
-        name: "lookup",
-        description: "Look up a reference value",
-        inputSchema: {
-          type: "object",
-          properties: { query: { type: "string" } },
-          required: ["query"],
-        },
-      }
-      const request = LLM.request({
-        model: OpenRouter.configure({
-          apiKey: process.env.OPENROUTER_API_KEY ?? "fixture",
-          providerOptions: { reasoning: { effort: "minimal" } },
-        }).model("meta/muse-spark-1.3"),
-        prompt: "Call only crm.lookup once with query ping. Do not call inventory.lookup. Wait for the result.",
-        tools: ["crm", "inventory"].map((name) => ({ type: "namespace", name, tools: [tool] })),
-        generation: { maxTokens: 1536 },
-      })
-      const first = yield* LLMClient.generate(request)
-      expect(first.toolCalls).toMatchObject([{ name: "lookup", namespace: "crm", input: { query: "ping" } }])
-      const call = first.toolCalls[0]
-      if (!call) throw new Error("Expected a namespaced tool call")
-      const second = yield* LLMClient.generate(
-        LLMRequest.update(request, {
-          messages: [
-            ...request.messages,
-            first.message,
-            Message.tool({ id: call.id, name: call.name, namespace: call.namespace, result: "pong" }),
-            Message.user("Do not call tools again. Reply exactly pong."),
-          ],
-        }),
-      )
-
-      expect(second.toolCalls).toHaveLength(0)
-      expect(second.text.trim()).toBe("pong")
-    }),
-  60_000,
-)
-
-recorded.effect(
-  "preserves native hosted-search events",
-  () =>
-    Effect.gen(function* () {
-      const response = yield* LLMClient.generate(
-        LLM.request({
-          model: OpenRouter.configure({
-            apiKey: process.env.OPENROUTER_API_KEY ?? "fixture",
-            providerOptions: { reasoning: { effort: "low" } },
-          }).model("x-ai/grok-4.3"),
-          prompt:
-            "Use web search once to find the official OpenRouter Responses API documentation. Reply with its URL.",
-          generation: { maxTokens: 1536 },
-          http: { body: { tools: [{ type: "web_search_preview", engine: "native", max_uses: 1 }], max_tool_calls: 1 } },
-        }),
-      )
-
-      expect(response.toolCalls).toContainEqual(expect.objectContaining({ name: "web_search", providerExecuted: true }))
-      expect(response.message.content).toContainEqual(
-        expect.objectContaining({ type: "tool-result", name: "web_search", providerExecuted: true }),
-      )
-      expect(response.text.trim().length).toBeGreaterThan(0)
-    }),
-  60_000,
-)

packages/ai/test/provider/openrouter.test.ts

@@ -3,261 +3,31 @@ import { Effect } from "effect"
 import { CacheHint, LLM, Message } from "../../src/index.js"
 import { LLMClient } from "../../src/route.js"
 import { compileRequest } from "../../src/route/client.js"
-import { OpenRouter } from "../../src/providers/openrouter.js"
+import * as OpenRouter from "../../src/providers/openrouter.js"
 import { it } from "../lib/effect.js"
 import { fixedResponse } from "../lib/http.js"
 import { sseEvents } from "../lib/sse.js"
 
 describe("OpenRouter", () => {
-  it.effect("routes OpenAI, xAI, and Meta models through the same namespace-aware Responses protocol", () =>
-    Effect.forEach(["openai/gpt-4o-mini", "x-ai/grok-4.3", "meta/muse-spark-1.3", "~x-ai/grok-latest"], (id) =>
-      Effect.gen(function* () {
-        const model = OpenRouter.configure({
-          apiKey: "test-key",
-          providerOptions: {
-            reasoning: { effort: "low", exclude: true, summary: "detailed" },
-            text: { verbosity: "low", format: { type: "json_schema", name: "result", schema: { type: "object" } } },
-            provider: { allow_fallbacks: false },
-          },
-        }).model(id)
-        const prepared = yield* compileRequest(
-          LLM.request({
-            model,
-            prompt: "Say hello.",
-            tools: [
-              {
-                type: "namespace",
-                name: "crm",
-                tools: [
-                  {
-                    type: "namespace",
-                    name: "contacts",
-                    tools: [
-                      {
-                        name: "lookup",
-                        description: "Look up a contact",
-                        inputSchema: { type: "object", properties: {} },
-                      },
-                    ],
-                  },
-                ],
-              },
-            ],
-          }),
-        )
-
-        expect(model.route.endpoint.baseURL).toBe("https://openrouter.ai/api/v1")
-        expect(prepared.route).toBe("openrouter-responses")
-        expect(model.route.protocol).toBe(OpenRouter.responses("openai/gpt-4o-mini").route.protocol)
-        expect(prepared.body).toMatchObject({
-          model: id,
-          input: [{ role: "user", content: [{ type: "input_text", text: "Say hello." }] }],
-          stream: true,
-          store: false,
-          include: ["reasoning.encrypted_content"],
-          reasoning: { effort: "low", exclude: true, summary: "detailed" },
-          text: { verbosity: "low", format: { type: "json_schema", name: "result", schema: { type: "object" } } },
-          tools: [{ type: "namespace", name: "crm", tools: [{ type: "function", name: "contacts_lookup" }] }],
-          provider: { allow_fallbacks: false },
-        })
-      }),
-    ),
-  )
-
-  it.effect("exposes exactly three API routes and leaves other families on Chat", () =>
+  it.effect("prepares OpenRouter models through the OpenAI-compatible Chat route", () =>
     Effect.gen(function* () {
-      expect(OpenRouter.routes.map((route) => route.endpoint.path)).toEqual([
-        "/chat/completions",
-        "/responses",
-        "/messages",
-      ])
-      const openrouter = OpenRouter.configure({ apiKey: "test-key" })
-      const chat = openrouter.model("meta-llama/llama-3.3-70b-instruct")
-      expect(chat.route.id).toBe("openrouter")
-      expect(openrouter.model("qwen/qwen3-coder-plus").route.protocol).toBe(chat.route.protocol)
-      expect(openrouter.messages("anthropic/claude-sonnet-4.6").route.id).toBe("openrouter-messages")
-    }),
-  )
+      const model = OpenRouter.configure({ apiKey: "test-key" }).model("openai/gpt-4o-mini")
 
-  it.effect("places default cache breakpoints on tools, system boundaries, and the conversation tail", () =>
-    Effect.gen(function* () {
-      const prepared = yield* compileRequest(
-        LLM.request({
-          model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
-          system: [
-            { type: "text", text: "Base agent" },
-            { type: "text", text: "Model details" },
-            { type: "text", text: "Project instructions" },
-          ],
-          tools: [
-            { name: "read", description: "Read", inputSchema: { type: "object", properties: {} } },
-            { name: "lookup", description: "Lookup", inputSchema: { type: "object", properties: {} } },
-          ],
-          prompt: "Hello",
-        }),
-      )
-
-      expect(prepared.body.tools?.map((tool) => tool.cache_control)).toEqual([undefined, { type: "ephemeral" }])
-      expect(prepared.route).toBe("openrouter-messages")
-      expect(prepared.body.system).toMatchObject([
-        { text: "Base agent", cache_control: { type: "ephemeral" } },
-        { text: "Model details" },
-        { text: "Project instructions", cache_control: { type: "ephemeral" } },
-      ])
-      expect(prepared.body.messages).toMatchObject([
-        { role: "user", content: [{ text: "Hello", cache_control: { type: "ephemeral" } }] },
-      ])
-      expect(prepared.body.system).not.toContainEqual(
-        expect.objectContaining({ text: "Model details", cache_control: expect.anything() }),
-      )
-    }),
-  )
-
-  it.effect("preserves gateway routing and lowers native effort updates without changing the baseline", () =>
-    Effect.gen(function* () {
-      const openrouter = OpenRouter.configure({
-        apiKey: "test-key",
-        providerOptions: { provider: { allow_fallbacks: false }, reasoning: { effort: "low", summary: "detailed" } },
+      expect(model).toMatchObject({
+        id: "openai/gpt-4o-mini",
+        provider: "openrouter",
+        route: { id: "openrouter" },
       })
-      const messages = [Message.effort({ previous: "high", effort: "low" }), Message.user("Hello")]
-      const response = yield* compileRequest(LLM.request({ model: openrouter.model("openai/gpt-6.1-sol"), messages }))
-      const message = yield* compileRequest(
-        LLM.request({ model: openrouter.model("anthropic/claude-fable-5.1"), messages }),
-      )
+      expect(model.route.endpoint.baseURL).toBe("https://openrouter.ai/api/v1")
 
-      expect(response.body).toMatchObject({
-        provider: { allow_fallbacks: false },
-        reasoning: { effort: "high", summary: "detailed" },
-        input: [{ type: "configuration_update", reasoning: { effort: "low" } }, { role: "user" }],
-      })
-      expect(message.body).toMatchObject({
-        provider: { allow_fallbacks: false },
-        output_config: { effort: "high" },
-        thinking: { type: "adaptive", block_binding: { prefix_mismatch_behavior: "drop_block" } },
-        messages: [{ role: "system", content: [], output_config: { effort: "low" } }, { role: "user" }],
-      })
-    }),
-  )
+      const prepared = yield* compileRequest(LLM.request({ model, prompt: "Say hello." }))
 
-  it.effect("replays saved Chat reasoning details through the native APIs", () =>
-    Effect.gen(function* () {
-      const openrouter = OpenRouter.configure({ apiKey: "test-key" })
-      const message = yield* compileRequest(
-        LLM.request({
-          model: openrouter.model("anthropic/claude-sonnet-4.6"),
-          messages: [
-            Message.assistant({
-              type: "reasoning",
-              text: "AB",
-              providerMetadata: {
-                openrouter: {
-                  reasoningDetails: [
-                    { type: "reasoning.text", text: "A", signature: "first" },
-                    { type: "reasoning.text", text: "B", signature: "second" },
-                  ],
-                },
-              },
-            }),
-          ],
-        }),
-      )
-      const response = yield* compileRequest(
-        LLM.request({
-          model: openrouter.model("meta/muse-spark-1.3"),
-          messages: [
-            Message.assistant({
-              type: "reasoning",
-              text: "Summary",
-              providerMetadata: { openrouter: { reasoningDetails: [{ type: "reasoning.encrypted", data: "opaque" }] } },
-            }),
-          ],
-        }),
-      )
-
-      expect(message.body.messages[0]?.content).toMatchObject([
-        { type: "thinking", thinking: "A", signature: "first" },
-        { type: "thinking", thinking: "B", signature: "second" },
-      ])
-      expect(response.body.input[0]).toMatchObject({ type: "reasoning", encrypted_content: "opaque" })
-    }),
-  )
-
-  it.effect("places default cache breakpoints on OpenRouter latest-model aliases", () =>
-    Effect.gen(function* () {
-      const prepared = yield* compileRequest(
-        LLM.request({
-          model: OpenRouter.configure({ apiKey: "test-key" }).model("~anthropic/claude-sonnet-latest"),
-          system: "Base agent",
-          tools: [{ name: "lookup", description: "Lookup", inputSchema: { type: "object", properties: {} } }],
-          prompt: "Hello",
-        }),
-      )
-
-      expect(prepared.body.tools?.[0]?.cache_control).toEqual({ type: "ephemeral" })
-      expect(prepared.body.system).toMatchObject([{ text: "Base agent", cache_control: { type: "ephemeral" } }])
-      expect(prepared.body.messages).toMatchObject([
-        { role: "user", content: [{ text: "Hello", cache_control: { type: "ephemeral" } }] },
-      ])
-    }),
-  )
-
-  it.effect("skips the tool breakpoint for Qwen, which caches tools with the system prompt", () =>
-    Effect.gen(function* () {
-      const prepared = yield* compileRequest(
-        LLM.request({
-          model: OpenRouter.configure({ apiKey: "test-key" }).model("qwen/qwen3-coder-plus"),
-          system: "Base agent",
-          tools: [{ name: "lookup", description: "Lookup", inputSchema: { type: "object", properties: {} } }],
-          prompt: "Hello",
-        }),
-      )
-
-      expect(prepared.body.tools?.[0]?.cache_control).toBeUndefined()
-      expect(prepared.body.messages).toMatchObject([
-        { role: "system", content: [{ text: "Base agent", cache_control: { type: "ephemeral" } }] },
-        { role: "user", content: [{ text: "Hello", cache_control: { type: "ephemeral" } }] },
-      ])
-    }),
-  )
-
-  it.effect("places the default Qwen conversation-tail breakpoint inside tool-result text", () =>
-    Effect.gen(function* () {
-      const prepared = yield* compileRequest(
-        LLM.request({
-          model: OpenRouter.configure({ apiKey: "test-key" }).model("qwen/qwen3-coder-plus"),
-          messages: [
-            Message.user("Call the tool"),
-            Message.assistant([{ type: "tool-call", id: "call_1", name: "lookup", input: {} }]),
-            Message.tool({ id: "call_1", name: "lookup", result: "Done" }),
-          ],
-        }),
-      )
-
-      expect(prepared.body.messages.at(-1)).toMatchObject({
-        role: "tool",
-        tool_call_id: "call_1",
-        content: [{ type: "text", text: '"Done"', cache_control: { type: "ephemeral" } }],
-      })
-    }),
-  )
-
-  it.effect("sends no default breakpoints to upstreams that cache without them", () =>
-    Effect.gen(function* () {
-      const openrouter = OpenRouter.configure({ apiKey: "test-key" })
-      const bodies = yield* Effect.forEach(["google/gemini-2.5-flash", "openai/gpt-5-mini"], (id) =>
-        compileRequest(
-          LLM.request({
-            model: openrouter.model(id),
-            system: "Base agent",
-            tools: [{ name: "lookup", description: "Lookup", inputSchema: { type: "object", properties: {} } }],
-            prompt: "Hello",
-          }),
-        ).pipe(Effect.map((prepared) => prepared.body)),
-      )
-
-      bodies.forEach((body) => {
-        expect(body.tools?.[0]?.cache_control).toBeUndefined()
-        expect(JSON.stringify(body)).not.toContain("cache_control")
+      expect(prepared.route).toBe("openrouter")
+      expect(prepared.body).toMatchObject({
+        model: "openai/gpt-4o-mini",
+        messages: [{ role: "user", content: "Say hello." }],
+        stream: true,
+        usage: { include: true },
       })
     }),
   )
@@ -279,11 +49,14 @@ describe("OpenRouter", () => {
 
       expect(prepared.body).toMatchObject({
         tools: [{ cache_control: { type: "ephemeral" } }],
-        system: [
-          { text: "Base agent", cache_control: { type: "ephemeral", ttl: "1h" } },
-          { text: "Project instructions", 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" } }],
@@ -297,12 +70,10 @@ describe("OpenRouter", () => {
     Effect.gen(function* () {
       const prepared = yield* compileRequest(
         LLM.request({
-          model: OpenRouter.configure({ apiKey: "test-key" }).chat("anthropic/claude-sonnet-4.6"),
+          model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
           cache: "none",
           messages: [
             Message.user("Call the tool"),
-            Message.assistant("Unmarked reply"),
-            Message.user("Call again"),
             Message.assistant([
               { type: "text", text: "Calling", cache: new CacheHint({ type: "ephemeral" }) },
               { type: "tool-call", id: "call_1", name: "lookup", input: {} },
@@ -319,17 +90,8 @@ describe("OpenRouter", () => {
 
       expect(prepared.body.messages).toMatchObject([
         { role: "user", content: "Call the tool" },
-        { role: "assistant", content: "Unmarked reply" },
-        { role: "user", content: "Call again" },
-        {
-          role: "assistant",
-          content: [{ type: "text", text: "Calling", cache_control: { type: "ephemeral" } }],
-          tool_calls: [{ id: "call_1", type: "function", function: { name: "lookup", arguments: "{}" } }],
-        },
-        {
-          role: "tool",
-          content: [{ type: "text", text: '"Done"', cache_control: { type: "ephemeral", ttl: "1h" } }],
-        },
+        { role: "assistant", content: "Calling", cache_control: { type: "ephemeral" } },
+        { role: "tool", content: '"Done"', cache_control: { type: "ephemeral", ttl: "1h" } },
       ])
     }),
   )
@@ -346,15 +108,21 @@ describe("OpenRouter", () => {
         }),
       )
 
-      expect(prepared.body.system?.filter((part) => part.cache_control !== undefined)).toHaveLength(4)
+      const system = prepared.body.messages[0]
+      expect(system?.role).toBe("system")
+      expect(
+        system && Array.isArray(system.content)
+          ? system.content.filter((part) => "cache_control" in part && part.cache_control !== undefined)
+          : [],
+      ).toHaveLength(4)
     }),
   )
 
-  it.effect("does not emit text cache markers on reasoning-only assistant messages", () =>
+  it.effect("preserves cache policy hints on reasoning-only assistant messages", () =>
     Effect.gen(function* () {
       const prepared = yield* compileRequest(
         LLM.request({
-          model: OpenRouter.configure({ apiKey: "test-key" }).chat("anthropic/claude-sonnet-4.6"),
+          model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
           cache: { messages: "latest-assistant" },
           messages: [Message.user("Think"), Message.assistant([{ type: "reasoning", text: "Reasoning" }])],
         }),
@@ -362,38 +130,8 @@ describe("OpenRouter", () => {
 
       expect(prepared.body.messages).toMatchObject([
         { role: "user", content: "Think" },
-        { role: "assistant", content: "" },
+        { role: "assistant", cache_control: { type: "ephemeral" } },
       ])
-      expect(prepared.body.messages[1]).not.toHaveProperty("cache_control")
-    }),
-  )
-
-  it.effect("counts wrapped system-update markers once so all four default breakpoints survive", () =>
-    Effect.gen(function* () {
-      const prepared = yield* compileRequest(
-        LLM.request({
-          model: OpenRouter.configure({ apiKey: "test-key" }).chat("anthropic/claude-sonnet-4.6"),
-          system: [
-            { type: "text", text: "Base agent" },
-            { type: "text", text: "Project instructions" },
-          ],
-          tools: [{ name: "lookup", description: "Lookup", inputSchema: { type: "object", properties: {} } }],
-          messages: [Message.user("Start"), Message.system("Updated instructions")],
-        }),
-      )
-
-      expect(prepared.body.tools?.[0]?.cache_control).toEqual({ type: "ephemeral" })
-      expect(prepared.body.messages.at(-1)).toMatchObject({
-        role: "user",
-        content: [
-          { type: "text", text: "Start" },
-          {
-            type: "text",
-            text: "<system-update>\nUpdated instructions\n</system-update>",
-            cache_control: { type: "ephemeral" },
-          },
-        ],
-      })
     }),
   )
 
@@ -404,7 +142,7 @@ describe("OpenRouter", () => {
           model: OpenRouter.configure({
             apiKey: "test-key",
             providerOptions: { usage: false },
-          }).chat("openai/gpt-4o-mini"),
+          }).model("openai/gpt-4o-mini"),
           cache: "none",
           prompt: "Hello",
         }),
@@ -452,7 +190,7 @@ describe("OpenRouter", () => {
               user: "user_123",
               future_option: { enabled: true },
             },
-          }).chat("anthropic/claude-3.7-sonnet:thinking"),
+          }).model("anthropic/claude-3.7-sonnet:thinking"),
           prompt: "Think briefly.",
           promptCacheKey: "session_123",
         }),
@@ -527,7 +265,7 @@ describe("OpenRouter", () => {
 
   it.effect("preserves the upstream provider finish reason", () =>
     Effect.gen(function* () {
-      const model = OpenRouter.configure({ apiKey: "test-key" }).chat("anthropic/claude-sonnet-4.6")
+      const model = OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6")
       const response = yield* LLMClient.generate(LLM.request({ model, prompt: "Say hello." })).pipe(
         Effect.provide(
           fixedResponse(
@@ -544,7 +282,7 @@ describe("OpenRouter", () => {
 
   it.effect("fails on a mid-stream provider error", () =>
     Effect.gen(function* () {
-      const model = OpenRouter.configure({ apiKey: "test-key" }).chat("openai/gpt-4o-mini")
+      const model = OpenRouter.configure({ apiKey: "test-key" }).model("openai/gpt-4o-mini")
       const error = yield* LLMClient.generate(LLM.request({ model, prompt: "Say hello." })).pipe(
         Effect.provide(
           fixedResponse(
@@ -571,7 +309,7 @@ describe("OpenRouter", () => {
       ]
       const prepared = yield* compileRequest(
         LLM.request({
-          model: OpenRouter.configure({ apiKey: "test-key" }).chat("anthropic/claude-sonnet-4.6"),
+          model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
           cache: "none",
           messages: [
             Message.assistant([
@@ -606,7 +344,7 @@ describe("OpenRouter", () => {
       ]
       const prepared = yield* compileRequest(
         LLM.request({
-          model: OpenRouter.configure({ apiKey: "test-key" }).chat("anthropic/claude-sonnet-4.6"),
+          model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
           cache: "none",
           messages: [
             Message.assistant({
@@ -647,7 +385,7 @@ describe("OpenRouter", () => {
       ]
       const prepared = yield* compileRequest(
         LLM.request({
-          model: OpenRouter.configure({ apiKey: "test-key" }).chat("anthropic/claude-sonnet-4.6"),
+          model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
           cache: "none",
           messages: [
             Message.assistant({
@@ -676,7 +414,7 @@ describe("OpenRouter", () => {
     Effect.gen(function* () {
       const prepared = yield* compileRequest(
         LLM.request({
-          model: OpenRouter.configure({ apiKey: "test-key" }).chat("anthropic/claude-sonnet-4.6"),
+          model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
           cache: "none",
           messages: [Message.assistant({ type: "reasoning", text: "Thinking" })],
         }),

packages/app/component-tests/browser-pane.fixture.tsx

@@ -4,9 +4,9 @@ import { For, Show } from "solid-js"
 import { createStore } from "solid-js/store"
 import { Portal, render } from "solid-js/web"
 import { LanguageProvider, UiI18nBridge } from "../src/runtime/i18n/language"
-import type { BrowserPaneEvent, BrowserPaneLayout, BrowserPaneRegistration } from "../src/runtime/platform/browser-pane"
+import type { BrowserPaneLayout, BrowserPaneRegistration } from "../src/runtime/platform/browser-pane"
 import type { createSessionBrowser } from "../src/session/browser/model"
-import { SessionBrowserPane, type SessionBrowserComment } from "../src/session/browser/pane"
+import { SessionBrowserPane } from "../src/session/browser/pane"
 
 export function mountBrowserPane() {
   const host = document.createElement("main")
@@ -30,15 +30,9 @@ export function mountBrowserPane() {
       covered: false,
       captures: 0,
       holdCapture: false,
-      picker: {} as Record<string, boolean | undefined>,
-      highlights: [] as string[],
-      comments: [] as SessionBrowserComment[],
     })
     // Each capture waits until the fixture releases it, so a spec can observe the pending state.
     const held: (() => void)[] = []
-    const inspectors = new Set<(event: Extract<BrowserPaneEvent, { type: "inspect" }>) => void>()
-    const emitInspect = (event: Extract<BrowserPaneEvent, { type: "inspect" }>) =>
-      inspectors.forEach((listener) => listener(event))
     const tabs = ["Alpha", "Beta"].map((name) => ({
       id: Browser.TabID.make(`tab_${name === "Alpha" ? "11111111" : "22222222"}-1111-1111-1111-111111111111`),
       title: name,
@@ -66,12 +60,6 @@ export function mountBrowserPane() {
             }
             return canvas.convertToBlob()
           },
-          // The desktop confirms each picker change, as the page does once inspect mode is armed.
-          inspect: (tabID, enabled) => {
-            setStore("picker", tab.title, enabled)
-            emitInspect({ type: "inspect", tabID, active: enabled })
-          },
-          highlight: (_tabID, ref) => setStore("highlights", (items) => [...items, ref ?? "clear"]),
           close: () => undefined,
         },
       ]),
@@ -109,26 +97,7 @@ export function mountBrowserPane() {
         }
         if (command.type === "stop") setStore("loading", false)
       },
-      onInspect: (listener) => {
-        inspectors.add(listener)
-        return () => inspectors.delete(listener)
-      },
-      reveal: () => undefined,
     }
-    const pick = () =>
-      emitInspect({
-        type: "inspect",
-        tabID: browser.active().id,
-        active: false,
-        element: {
-          ref: Browser.Ref.make("e7"),
-          selector: "main > button.primary",
-          label: "button.primary",
-          role: "button",
-          name: "Save changes",
-          rect: { x: 48, y: 40, width: 160, height: 36 },
-        },
-      })
     return (
       <>
         <h1 style={{ "font-size": "24px", "margin-bottom": "16px" }}>Browser pane lifecycle</h1>
@@ -168,30 +137,13 @@ export function mountBrowserPane() {
           <button onClick={() => setStore("holdCapture", true)}>Hold capture</button>
           <button onClick={() => held.splice(0).forEach((resolve) => resolve())}>Release capture</button>
           <button onClick={() => setStore("covered", (covered) => !covered)}>Toggle popover</button>
-          <button onClick={pick}>Pick element</button>
         </nav>
         <p>Captures: {store.captures}</p>
-        <p>Picker: {store.picker[store.session] ? "on" : "off"}</p>
-        <p>Highlights: {store.highlights.join(",")}</p>
         <div style={{ position: "relative", width: "640px", height: "360px", border: "1px solid #555" }}>
           <Show when={store.mounted}>
-            <SessionBrowserPane
-              browser={browser}
-              visible={store.visible}
-              onComment={(comment) => setStore("comments", (items) => [...items, comment])}
-            />
+            <SessionBrowserPane browser={browser} visible={store.visible} />
           </Show>
         </div>
-        <ul data-testid="fixture-comments">
-          <For each={store.comments}>
-            {(comment) => (
-              <li>
-                {comment.element.label} {comment.element.ref ? `@${comment.element.ref}` : "(no ref)"}:{" "}
-                {comment.comment}
-              </li>
-            )}
-          </For>
-        </ul>
         <Show when={store.covered}>
           {/* Floating content portals into <body> like a menu or hover card over the page. */}
           <Portal mount={document.body}>

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

@@ -79,81 +79,6 @@ story("keeps a still of the page under floating content that covers it", async (
   await expect(root.getByText("Captures: 1", { exact: true })).toBeVisible()
 })
 
-story("comments on a picked element over a still of the page", async ({ page }, testInfo) => {
-  const root = page.getByTestId("browser-pane-fixture")
-  const picker = root.getByRole("button", { name: "Select an element to comment on", exact: true })
-  await picker.click()
-  await expect(picker).toHaveAttribute("aria-pressed", "true")
-  await expect(root.getByText("Picker: on", { exact: true })).toBeVisible()
-
-  await root.getByRole("button", { name: "Pick element", exact: true }).click()
-  await expect(picker).toHaveAttribute("aria-pressed", "false")
-  const editor = root.locator('[data-slot="browser-comment-editor"] textarea')
-  await expect(editor).toBeFocused()
-  await expect(root.locator('[data-slot="browser-comment-editor"]')).toContainText("button.primary")
-  // The native page hides behind its still so the editor can float over it.
-  await expect(root.getByTestId("native-Alpha")).toHaveAttribute("data-visible", "false")
-  await expect(root.locator("#browser-panel img")).toBeVisible()
-  await page.screenshot({ path: testInfo.outputPath("comment.png") })
-
-  await editor.fill("Make this the primary colour")
-  await editor.press("Enter")
-  await expect(root.getByTestId("fixture-comments")).toHaveText("button.primary @e7: Make this the primary colour")
-  await expect(root.locator('[data-component="browser-comment"]')).toHaveCount(0)
-  await expect(root.getByText("Highlights: clear", { exact: true })).toBeVisible()
-  await expect(root.getByTestId("native-Alpha")).toHaveAttribute("data-visible", "true")
-})
-
-story("cancels the picker and a comment with Escape", async ({ page }) => {
-  const root = page.getByTestId("browser-pane-fixture")
-  const picker = root.getByRole("button", { name: "Select an element to comment on", exact: true })
-  await picker.click()
-  await expect(picker).toHaveAttribute("aria-pressed", "true")
-  await page.keyboard.press("Escape")
-  await expect(picker).toHaveAttribute("aria-pressed", "false")
-  await expect(root.getByText("Picker: off", { exact: true })).toBeVisible()
-
-  await picker.click()
-  await root.getByRole("button", { name: "Pick element", exact: true }).click()
-  const editor = root.locator('[data-slot="browser-comment-editor"] textarea')
-  await expect(editor).toBeFocused()
-  await editor.press("Escape")
-  await expect(root.locator('[data-component="browser-comment"]')).toHaveCount(0)
-  await expect(root.getByTestId("fixture-comments")).toHaveText("")
-  await expect(root.getByTestId("native-Alpha")).toHaveAttribute("data-visible", "true")
-})
-
-story("keeps a comment draft but drops its ref when the page navigates", async ({ page }) => {
-  const root = page.getByTestId("browser-pane-fixture")
-  await root.getByRole("button", { name: "Select an element to comment on", exact: true }).click()
-  await root.getByRole("button", { name: "Pick element", exact: true }).click()
-  const editor = root.locator('[data-slot="browser-comment-editor"] textarea')
-  await editor.fill("Still misaligned after the reload")
-  await root.getByRole("button", { name: "Load current page", exact: true }).click()
-  await expect(editor).toHaveValue("Still misaligned after the reload")
-  await editor.press("Enter")
-  await expect(root.getByTestId("fixture-comments")).toHaveText(
-    "button.primary (no ref): Still misaligned after the reload",
-  )
-})
-
-story("keeps the comment editor and its actions inside the page", async ({ page }) => {
-  const root = page.getByTestId("browser-pane-fixture")
-  await root.getByRole("button", { name: "Select an element to comment on", exact: true }).click()
-  await root.getByRole("button", { name: "Pick element", exact: true }).click()
-  const editor = root.locator('[data-slot="browser-comment-editor"]')
-  // As if the user dragged the textarea's resize handle far past the page.
-  await editor.locator("textarea").evaluate((element) => {
-    element.style.height = "900px"
-  })
-  const surface = await root.locator('[data-component="browser-comment"]').boundingBox()
-  const box = await editor.boundingBox()
-  expect(surface && box && box.y + box.height <= surface.y + surface.height).toBe(true)
-  const submit = editor.getByRole("button", { name: "Comment", exact: true })
-  await submit.scrollIntoViewIfNeeded()
-  await expect(submit).toBeInViewport()
-})
-
 story("shows the empty state over a blank native page and restores navigation", async ({ page }) => {
   const root = page.getByTestId("browser-pane-fixture")
   await root.getByRole("button", { name: "Blank page", exact: true }).click()

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

@@ -186,17 +186,11 @@ for (const scenario of scenarios) {
                 const toolTitle = element
                   .closest('[data-component="edit-tool"]')
                   ?.querySelector('[data-slot="collapsible-trigger"][data-locked]')
-                // Grouped file headers stack below the stuck Used header.
-                const group = element
-                  .closest('[data-component="collapsed-tool-group"]')
-                  ?.querySelector(':scope > [data-component="collapsible"] > [data-slot="collapsible-trigger"]')
-                const sessionTop = viewport.getBoundingClientRect().top + (title?.getBoundingClientRect().height ?? 0)
-                const top = sessionTop + (group?.getBoundingClientRect().height ?? 0)
+                const top = viewport.getBoundingClientRect().top + (title?.getBoundingClientRect().height ?? 0)
                 const rect = element.getBoundingClientRect()
                 const trigger = element.querySelector("button")!
                 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),
@@ -204,7 +198,7 @@ for (const scenario of scenarios) {
                 }
               }),
             )
-            .toEqual({ gap: 0, groupGap: 0, titleGap: 0, clickable: true })
+            .toEqual({ gap: 0, titleGap: 0, clickable: true })
           await page.screenshot({ path: info.outputPath(`${file}.png`) })
         }
 

packages/app/e2e/regression/session-id-links.spec.ts

@@ -1,43 +0,0 @@
-import { expect, test } from "@playwright/test"
-import { base64Encode } from "@opencode/util/encode"
-import {
-  assistantMessage,
-  session,
-  setupTimeline,
-  textPart,
-  userMessage,
-} from "../performance/timeline-stability/fixture"
-
-const target = "ses_0123456789abcdefghijklmnop"
-const missing = "ses_abcdefghijklmnopqrstuvwxyz"
-const server = `http://${process.env.PLAYWRIGHT_SERVER_HOST ?? "127.0.0.1"}:${process.env.PLAYWRIGHT_SERVER_PORT ?? "4096"}`
-
-test("opens a verified session from agent prose or inline code with the keyboard", async ({ page }) => {
-  await setupTimeline(page, {
-    sessions: [session(), session({ id: target, title: "Linked session" })],
-    messages: [
-      userMessage(),
-      assistantMessage([textPart("prt_session_links", `Visit ${target} or \`${target}\` to see the result.`)]),
-    ],
-  })
-  const markdown = page.locator('[data-component="markdown"]').filter({ hasText: `Visit ${target}` })
-  await expect(markdown).toHaveAttribute("data-markdown-ready", "")
-  await expect(markdown.getByRole("button", { name: target })).toHaveCount(2)
-  await markdown
-    .getByRole("button", { name: target })
-    .filter({ has: page.locator("code") })
-    .press("Enter")
-  await expect(page).toHaveURL(`/server/${base64Encode(server)}/session/${target}`)
-  await expect(page.locator(`[data-titlebar-tab-link][href$="/session/${target}"]`)).toContainText("Linked session")
-})
-
-test("does not navigate to an ID that is absent from the current server", async ({ page }) => {
-  await setupTimeline(page, {
-    messages: [userMessage(), assistantMessage([textPart("prt_session_missing", `See ${missing}.`)])],
-  })
-  const markdown = page.locator('[data-component="markdown"]').filter({ hasText: `See ${missing}.` })
-  await expect(markdown).toHaveAttribute("data-markdown-ready", "")
-  await markdown.getByRole("button", { name: missing }).click()
-  await expect(page.getByText("This session cannot be found")).toBeVisible()
-  await expect(page).toHaveURL(/\/session\/ses_timeline_stability$/)
-})

packages/app/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@opencode/app",
-  "version": "2.0.20",
+  "version": "2.0.19",
   "description": "",
   "type": "module",
   "exports": {

packages/app/src/composer/adapter.ts

@@ -30,10 +30,6 @@ export type ComposerControls = {
       opened: () => boolean
       open: () => void
     }
-    /** Present in sessions with a desktop browser pane. */
-    browser?: {
-      reveal: (tabID: string, ref?: string) => void
-    }
   }
 }
 

packages/app/src/composer/comment-note.test.ts

@@ -1,41 +0,0 @@
-import { describe, expect, test } from "bun:test"
-import { commentContextItem, formatBrowserCommentNote, readPromptPresentation } from "./comment-note"
-
-const browser = {
-  type: "browser" as const,
-  tabID: "tab_00000000-0000-4000-8000-000000000000",
-  url: "http://localhost:5173/",
-  element: { ref: "e42", selector: "#save", label: "button#save" },
-  comment: "Rename this",
-}
-
-describe("browser element comments", () => {
-  test("read from message metadata beside file comments and skip malformed entries", () => {
-    const value = readPromptPresentation({
-      displayText: "hi",
-      comments: [browser, { ...browser, element: { label: "button" } }, { path: "src/app.ts", comment: "Keep" }],
-    })
-    expect(value?.comments).toEqual([browser, { path: "src/app.ts", comment: "Keep" }])
-  })
-
-  test("explain a selector that crosses into a shadow root", () => {
-    expect(
-      formatBrowserCommentNote({ ...browser, element: { ...browser.element, selector: "#card >>> div > button" } }),
-    ).toContain('selector "#card >>> div > button" (">>>" enters a shadow root)')
-    expect(formatBrowserCommentNote(browser)).not.toContain("shadow root")
-  })
-
-  test("leave out a selector that was too long to keep", () => {
-    expect(formatBrowserCommentNote({ ...browser, element: { ...browser.element, selector: "" } })).toBe(
-      'The user made the following comment regarding the "button#save" element in browser tab tab_00000000-0000-4000-8000-000000000000 at http://localhost:5173/ (browser ref @e42, usable as ref in any browser tool including browser.evaluate until the page navigates): Rename this',
-    )
-  })
-
-  test("return to the composer without their element ref", () => {
-    expect(commentContextItem(browser)).toEqual({
-      ...browser,
-      element: { selector: "#save", label: "button#save" },
-      commentID: expect.any(String),
-    })
-  })
-})

packages/app/src/composer/comment-note.ts

@@ -1,18 +1,12 @@
-import { Option, Schema } from "effect"
 import type { FileSelection } from "@/workspaces/files/model"
-import { BrowserComment, durableBrowserElement, type ContextItem } from "./schema"
 
-export type PromptFileComment = {
-  type?: "file"
+export type PromptComment = {
   path: string
   selection?: FileSelection
   comment: string
   preview?: string
   origin?: "review" | "file"
 }
-export type PromptComment = PromptFileComment | BrowserComment
-
-const decodeBrowserComment = Schema.decodeUnknownOption(BrowserComment)
 
 /** An attachment the model receives as a path on the server rather than inline bytes. */
 export type PromptAttachmentReference = {
@@ -36,7 +30,7 @@ function selection(selection: unknown) {
   } satisfies FileSelection
 }
 
-export function createCommentMetadata(input: PromptFileComment) {
+export function createCommentMetadata(input: PromptComment) {
   return {
     opencodeComment: {
       path: input.path,
@@ -84,7 +78,6 @@ export function readPromptPresentation(value: unknown) {
     }),
     comments: comments.flatMap((item): PromptComment[] => {
       if (!item || typeof item !== "object") return []
-      if ((item as { type?: unknown }).type === "browser") return Option.toArray(decodeBrowserComment(item))
       const path = (item as { path?: unknown }).path
       const comment = (item as { comment?: unknown }).comment
       if (typeof path !== "string" || typeof comment !== "string") return []
@@ -107,39 +100,6 @@ export function formatAttachmentReference(input: PromptAttachmentReference) {
   return `Attached file: \`${input.path}\``
 }
 
-export function formatBrowserCommentNote(input: BrowserComment) {
-  const element = input.element
-  // Page-provided strings are quoted so they read as data, not as part of the user's request.
-  const details = [
-    element.role ? `role ${element.role}` : undefined,
-    element.name ? `accessible name ${JSON.stringify(element.name)}` : undefined,
-    element.text && element.text !== element.name ? `text ${JSON.stringify(element.text.slice(0, 80))}` : undefined,
-    // A selector too long to keep is empty rather than cut into invalid syntax.
-    element.selector
-      ? `selector ${JSON.stringify(element.selector)}${element.selector.includes(" >>> ") ? ' (">>>" enters a shadow root)' : ""}`
-      : undefined,
-    element.ref
-      ? `browser ref @${element.ref}, usable as ref in any browser tool including browser.evaluate until the page navigates`
-      : undefined,
-  ].filter((detail) => detail !== undefined)
-  return `The user made the following comment regarding the ${JSON.stringify(element.label)} element in browser tab ${input.tabID} at ${input.url}${details.length ? ` (${details.join("; ")})` : ""}: ${input.comment}`
-}
-
-/** Restores a sent comment to the composer, for example after a revert or fork. */
-export function commentContextItem(comment: PromptComment): ContextItem {
-  // The message may predate the desktop process, so its element ref can no longer be trusted.
-  if (comment.type === "browser")
-    return { ...comment, element: durableBrowserElement(comment.element), commentID: crypto.randomUUID() }
-  return {
-    type: "file",
-    path: comment.path,
-    selection: comment.selection,
-    comment: comment.comment,
-    preview: comment.preview,
-    commentOrigin: comment.origin,
-  }
-}
-
 export function formatCommentNote(input: { path: string; selection?: FileSelection; comment: string }) {
   const start = input.selection ? Math.min(input.selection.startLine, input.selection.endLine) : undefined
   const end = input.selection ? Math.max(input.selection.startLine, input.selection.endLine) : undefined

packages/app/src/composer/composer.stories.tsx

@@ -279,39 +279,6 @@ export const MixedAttachments = {
   ),
 }
 
-export const BrowserElementComment = {
-  render: () => (
-    <ComposerStory
-      prompt={text("Tidy up the settings page")}
-      comments={[
-        {
-          type: "browser",
-          key: "browser:tab_story:c=save",
-          tabID: "tab_00000000-0000-4000-8000-000000000000",
-          url: "http://localhost:5173/settings",
-          title: "Settings",
-          element: {
-            ref: "e42",
-            selector: "#settings > form > button.btn.primary",
-            label: "button.btn.primary",
-            role: "button",
-            name: "Save changes",
-          },
-          comment: "Match the secondary button height",
-          commentID: "save",
-        },
-        {
-          type: "file",
-          key: "comment:src/app.tsx",
-          path: "src/app.tsx",
-          selection: { startLine: 12, startChar: 0, endLine: 14, endChar: 0 },
-          comment: "Keep the normal flow flat",
-        },
-      ]}
-    />
-  ),
-}
-
 export const ModelAndVariant = { render: () => <ComposerStory prompt={text("Compare both variants")} /> }
 
 export const SlashSuggestions = { render: () => <ComposerStory suggestions="command" /> }

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

@@ -533,11 +533,8 @@ export function ComposerAttachments(props: {
                 >
                   <CommentCard
                     comment={comment.comment ?? ""}
-                    target={
-                      comment.type === "browser"
-                        ? { type: "browser", element: comment.element.label }
-                        : { type: "file", path: comment.path, selection: comment.selection }
-                    }
+                    path={comment.path}
+                    selection={comment.selection}
                     active={comment.key === props.activeCommentID}
                     onClick={() => props.onCommentClick?.(comment)}
                   />

packages/app/src/composer/model.ts

@@ -98,7 +98,7 @@ export function createComposerModel(adapter: ComposerAdapter, options?: { queue?
     const byID = new Map(comments.all().map((item) => [`${item.file}\n${item.id}`, item] as const))
     return prompt.context.items().flatMap((item) => {
       const comment = item.comment?.trim()
-      if (!comment || item.type !== "file") return []
+      if (!comment) return []
       const selection = item.commentID ? byID.get(`${item.path}\n${item.commentID}`)?.selection : undefined
       const nextSelection =
         selection ??
@@ -129,11 +129,9 @@ export function createComposerModel(adapter: ComposerAdapter, options?: { queue?
         time: item.time,
       })),
     )
-    // History records file comments only; browser comments stay with the draft while it is browsed.
-    prompt.context.replaceComments([
-      ...prompt.context.items().filter((item) => item.type === "browser"),
-      ...items.map((item) => ({
-        type: "file" as const,
+    prompt.context.replaceComments(
+      items.map((item) => ({
+        type: "file",
         path: item.path,
         selection: selectionFromLines(item.selection),
         comment: item.comment,
@@ -141,7 +139,7 @@ export function createComposerModel(adapter: ComposerAdapter, options?: { queue?
         commentOrigin: item.origin,
         preview: item.preview,
       })),
-    ])
+    )
   }
 
   const referenceDescription = (reference: ReferenceInfo) =>
@@ -300,7 +298,7 @@ export function createComposerModel(adapter: ComposerAdapter, options?: { queue?
         mention: { type: "file", path, content: `@${path}`, start: 0, end: 0 },
       })),
     onContextRemove(item) {
-      if (item.type === "file" && item.commentID) comments.remove(item.path, item.commentID)
+      if (item?.commentID) comments.remove(item.path, item.commentID)
     },
     openAttachment: (attachment) => {
       if (attachment.type !== "image") return
@@ -310,10 +308,6 @@ export function createComposerModel(adapter: ComposerAdapter, options?: { queue?
     },
     openContext(key) {
       const item = controller.contextItem(key)
-      if (item?.type === "browser") {
-        adapter.controls().session.browser?.reveal(item.tabID, item.element.ref)
-        return
-      }
       if (item) openComment(item, adapter.controls(), layout, files, comments)
     },
     onEditor(element) {

packages/app/src/composer/persistence.tsx

@@ -28,7 +28,6 @@ export {
 } from "./state"
 export type {
   AgentPart,
-  BrowserContextItem,
   ContentPart,
   ContextItem,
   FileAttachmentPart,
@@ -161,7 +160,7 @@ export const { use: useComposerState, provider: ComposerPersistenceProvider } =
         removeComment: (path: string, commentID: string) => session().context.removeComment(path, commentID),
         updateComment: (path: string, commentID: string, next: Partial<FileContextItem> & { comment?: string }) =>
           session().context.updateComment(path, commentID, next),
-        replaceComments: (items: ContextItem[]) => session().context.replaceComments(items),
+        replaceComments: (items: FileContextItem[]) => session().context.replaceComments(items),
       },
       set: (prompt: Prompt, cursorPosition?: number, scope?: PromptScope) => pick(scope).set(prompt, cursorPosition),
       reset: (scope?: PromptScope) => pick(scope).reset(),

packages/app/src/composer/request.test.ts

@@ -144,57 +144,6 @@ describe("buildPromptRequest", () => {
     expect(result.files.some((file) => file.uri === "file:///repo/src/shared.ts")).toBe(true)
   })
 
-  test("sends a browser element comment as a note the browser tools can act on", () => {
-    const result = buildPromptRequest({
-      prompt: [{ type: "text", content: "tidy up", start: 0, end: 7 }],
-      context: [
-        {
-          key: "browser:tab:c=1",
-          type: "browser",
-          tabID: "tab_00000000-0000-4000-8000-000000000000",
-          url: "http://localhost:5173/settings",
-          title: "Settings",
-          element: {
-            ref: "e42",
-            selector: "#settings > button.primary",
-            label: "button.primary",
-            role: "button",
-            name: "Save",
-            text: "Save",
-          },
-          comment: "Match @src/button.css",
-          commentID: "1",
-        },
-      ],
-      images: [],
-      text: "tidy up",
-      sessionDirectory: "/repo",
-    })
-
-    expect(result.text).toBe(
-      'tidy up\nThe user made the following comment regarding the "button.primary" element in browser tab tab_00000000-0000-4000-8000-000000000000 at http://localhost:5173/settings (role button; accessible name "Save"; selector "#settings > button.primary"; browser ref @e42, usable as ref in any browser tool including browser.evaluate until the page navigates): Match @src/button.css',
-    )
-    expect(result.comments).toEqual([
-      {
-        type: "browser",
-        tabID: "tab_00000000-0000-4000-8000-000000000000",
-        url: "http://localhost:5173/settings",
-        title: "Settings",
-        element: {
-          ref: "e42",
-          selector: "#settings > button.primary",
-          label: "button.primary",
-          role: "button",
-          name: "Save",
-          text: "Save",
-        },
-        comment: "Match @src/button.css",
-      },
-    ])
-    // A browser comment has no file of its own; only files it mentions are attached.
-    expect(result.files).toEqual([{ uri: "file:///repo/src/button.css", mime: "text/plain", name: "button.css" }])
-  })
-
   test("handles Windows paths correctly (simulated on macOS)", () => {
     const prompt: Prompt = [{ type: "file", path: "src\\foo.ts", content: "@src\\foo.ts", start: 0, end: 11 }]
 

packages/app/src/composer/request.ts

@@ -1,18 +1,9 @@
 import { getFilename } from "@opencode/util/path"
 import type { FileSelection } from "@/workspaces/files/model"
 import { encodeFilePath } from "@/workspaces/files/path"
-import type {
-  AgentPart,
-  ContextItem,
-  FileAttachmentPart,
-  ImageAttachmentPart,
-  PathAttachmentPart,
-  Prompt,
-  SkillPart,
-} from "@/composer/state"
+import type { AgentPart, FileAttachmentPart, ImageAttachmentPart, PathAttachmentPart, Prompt, SkillPart } from "@/composer/state"
 import {
   formatAttachmentReference,
-  formatBrowserCommentNote,
   formatCommentNote,
   type PromptAttachmentReference,
   type PromptComment,
@@ -29,9 +20,20 @@ type PromptRequest = {
   attachments: PromptAttachmentReference[]
 }
 
+type ContextFile = {
+  key: string
+  type: "file"
+  path: string
+  selection?: FileSelection
+  comment?: string
+  commentID?: string
+  commentOrigin?: "review" | "file"
+  preview?: string
+}
+
 type BuildPromptRequestInput = {
   prompt: Prompt
-  context: (ContextItem & { key: string })[]
+  context: ContextFile[]
   images: (Omit<ImageAttachmentPart, "blob"> & { dataUrl: string })[]
   text: string
   sessionDirectory: string
@@ -85,27 +87,7 @@ export function buildPromptRequest(input: BuildPromptRequestInput): PromptReques
 
   const used = new Set(files.map((file) => file.uri))
   const comments: PromptComment[] = []
-  const mentioned = (comment: string) =>
-    parseCommentMentions(comment).flatMap((path) => {
-      const uri = `file://${encodeFilePath(absolute(input.sessionDirectory, path))}`
-      if (used.has(uri)) return []
-      used.add(uri)
-      return [{ uri, mime: "text/plain", name: getFilename(path) }]
-    })
   const context = input.context.flatMap((item) => {
-    if (item.type === "browser") {
-      const comment = item.comment.trim()
-      if (!comment) return []
-      comments.push({
-        type: "browser",
-        tabID: item.tabID,
-        url: item.url,
-        ...(item.title ? { title: item.title } : {}),
-        element: { ...item.element },
-        comment,
-      })
-      return mentioned(comment)
-    }
     const path = absolute(input.sessionDirectory, item.path)
     const uri = `file://${encodeFilePath(path)}${fileQuery(item.selection)}`
     const comment = item.comment?.trim()
@@ -122,7 +104,13 @@ export function buildPromptRequest(input: BuildPromptRequestInput): PromptReques
       preview: item.preview,
       origin: item.commentOrigin,
     })
-    return [file, ...mentioned(comment)]
+    const mentions = parseCommentMentions(comment).flatMap((path) => {
+      const uri = `file://${encodeFilePath(absolute(input.sessionDirectory, path))}`
+      if (used.has(uri)) return []
+      used.add(uri)
+      return [{ uri, mime: "text/plain", name: getFilename(path) }]
+    })
+    return [file, ...mentions]
   })
 
   const inline = input.images.map((attachment) => ({
@@ -139,9 +127,7 @@ export function buildPromptRequest(input: BuildPromptRequestInput): PromptReques
     text: [
       ...(input.text.trim() ? [input.text] : []),
       ...attachments.map(formatAttachmentReference),
-      ...comments.map((comment) =>
-        comment.type === "browser" ? formatBrowserCommentNote(comment) : formatCommentNote(comment),
-      ),
+      ...comments.map(formatCommentNote),
     ].join("\n"),
     displayText: input.text,
     files: [...files, ...context, ...inline],

packages/app/src/composer/schema.test.ts

@@ -53,28 +53,6 @@ describe("composer persistence schemas", () => {
     expect(decode({}).prompt).toEqual(DEFAULT_PROMPT)
   })
 
-  test("restores browser element comments without the process-bound element ref", () => {
-    const decode = Schema.decodeUnknownSync(
-      Persistence.withInitial(ComposerStore, { prompt: DEFAULT_PROMPT, context: { items: [] } }),
-    )
-    const browser = {
-      type: "browser" as const,
-      tabID: "tab_00000000-0000-4000-8000-000000000000",
-      url: "http://localhost:5173/",
-      element: { ref: "e42", selector: "#save", label: "button#save", role: 42 },
-      comment: "Rename this",
-      commentID: "note",
-    }
-    const value = decode({ context: { items: [browser, { ...browser, url: null }] } })
-    expect(value.context.items).toEqual([
-      {
-        ...browser,
-        element: { selector: "#save", label: "button#save" },
-        key: "browser:tab_00000000-0000-4000-8000-000000000000:c=note",
-      },
-    ])
-  })
-
   test("drops invalid parts without losing valid mentions or optional field recovery", () => {
     const value = Schema.decodeUnknownSync(
       Persistence.withInitial(ComposerStore, { prompt: DEFAULT_PROMPT, context: { items: [] } }),

packages/app/src/composer/schema.ts

@@ -134,49 +134,9 @@ export const FileContextItem = Persistence.struct({
   preview: Persistence.optional(Schema.String),
 })
 export type FileContextItem = typeof FileContextItem.Type
-
-/** An element the user picked in a desktop browser tab. The ref is valid until the page navigates. */
-export const BrowserElement = Persistence.struct({
-  ref: Persistence.optional(Schema.String),
-  selector: Schema.String,
-  label: Schema.String,
-  role: Persistence.optional(Schema.String),
-  name: Persistence.optional(Schema.String),
-  text: Persistence.optional(Schema.String),
-})
-export type BrowserElement = typeof BrowserElement.Type
-
-/**
- * A ref names an element only inside the desktop process that picked it; a later process can hand
- * the same ref to another element. Anything that may outlive the pick keeps the description only.
- */
-export function durableBrowserElement(element: BrowserElement): BrowserElement {
-  return {
-    selector: element.selector,
-    label: element.label,
-    ...(element.role ? { role: element.role } : {}),
-    ...(element.name ? { name: element.name } : {}),
-    ...(element.text ? { text: element.text } : {}),
-  }
-}
-
-const BrowserCommentFields = {
-  type: Schema.Literal("browser"),
-  tabID: Schema.String,
-  url: Schema.String,
-  title: Persistence.optional(Schema.String),
-  element: BrowserElement,
-  comment: Schema.String,
-}
-/** A comment on a browser element as sent in message metadata. */
-export const BrowserComment = Persistence.struct(BrowserCommentFields)
-export type BrowserComment = typeof BrowserComment.Type
-export const BrowserContextItem = Persistence.struct({ ...BrowserCommentFields, commentID: Schema.String })
-export type BrowserContextItem = typeof BrowserContextItem.Type
-export type ContextItem = FileContextItem | BrowserContextItem
+export type ContextItem = FileContextItem
 
 export function contextItemKey(item: ContextItem) {
-  if (item.type === "browser") return `browser:${item.tabID}:c=${item.commentID}`
   const key = `${item.type}:${item.path}:${item.selection?.startLine}:${item.selection?.endLine}`
   if (item.commentID) return `${key}:c=${item.commentID}`
   const comment = item.comment?.trim()
@@ -185,27 +145,12 @@ export function contextItemKey(item: ContextItem) {
   return `${key}:c=${digest.slice(0, 8)}`
 }
 
-const FileContextEntry = Schema.Struct({ ...FileContextItem.fields, key: Persistence.optional(Schema.String) }).pipe(
+const ContextEntry = Schema.Struct({ ...FileContextItem.fields, key: Persistence.optional(Schema.String) }).pipe(
   Schema.decodeTo(Persistence.struct({ ...FileContextItem.fields, key: Schema.String }).pipe(Schema.toType), {
     decode: SchemaGetter.transform((item) => ({ ...item, key: contextItemKey(item) })),
     encode: SchemaGetter.transform((item) => item),
   }),
 )
-const BrowserContextEntry = Schema.Struct({
-  ...BrowserContextItem.fields,
-  key: Persistence.optional(Schema.String),
-}).pipe(
-  Schema.decodeTo(Persistence.struct({ ...BrowserContextItem.fields, key: Schema.String }).pipe(Schema.toType), {
-    // A stored draft can outlive the desktop process that picked the element.
-    decode: SchemaGetter.transform((item) => ({
-      ...item,
-      element: durableBrowserElement(item.element),
-      key: contextItemKey(item),
-    })),
-    encode: SchemaGetter.transform((item) => item),
-  }),
-)
-const ContextEntry = Schema.Union([FileContextEntry, BrowserContextEntry])
 
 export const DEFAULT_PROMPT: Prompt = [{ type: "text", content: "", start: 0, end: 0 }]
 

packages/app/src/composer/selection.ts

@@ -12,11 +12,7 @@ import { cycleModelVariant, getConfiguredAgentVariant, resolveModelVariant } fro
 import { useComposerState } from "./persistence"
 import { useConfiguredModel } from "@/providers/models/configured"
 
-export function createComposerControls(input: {
-  sessionKey: Accessor<string>
-  model?: ModelSelection
-  browser?: ComposerControls["session"]["browser"]
-}) {
+export function createComposerControls(input: { sessionKey: Accessor<string>; model?: ModelSelection }) {
   const layout = useLayout()
   const local = useLocal()
   const sdk = useWorkspaceLocation()
@@ -44,7 +40,6 @@ export function createComposerControls(input: {
       session: {
         tabs: layout.tabs(input.sessionKey),
         reviewPanel: view.reviewPanel,
-        browser: input.browser,
       },
     }
   })

packages/app/src/composer/state.ts

@@ -17,9 +17,6 @@ import {
 export { DEFAULT_PROMPT } from "./schema"
 export type {
   AgentPart,
-  BrowserComment,
-  BrowserContextItem,
-  BrowserElement,
   ComposerStore,
   ContentPart,
   ContextItem,
@@ -41,7 +38,7 @@ type InitialPrompt = {
 }
 
 export function isCommentItem(item: ContextItem | (ContextItem & { key: string })) {
-  return !!item.comment?.trim()
+  return item.type === "file" && !!item.comment?.trim()
 }
 
 function createComposerActions(setStore: SetStoreFunction<ComposerStore>) {
@@ -140,7 +137,7 @@ function createComposerStateValue(store: ComposerStore, setStore: SetStoreFuncti
         )
         clearRetry()
       },
-      replaceComments(items: ContextItem[]) {
+      replaceComments(items: FileContextItem[]) {
         setStore("context", "items", (current) => [
           ...current.filter((item) => !isCommentItem(item)),
           ...items.map((item) => ({ ...item, key: contextItemKey(item) })),

packages/app/src/composer/submit.ts

@@ -1,7 +1,6 @@
 import { SessionMessage } from "@opencode/schema/session-message"
 import type { SessionMessageUser } from "@opencode/client/promise"
 import type { Accessor } from "solid-js"
-import type { PromptComment } from "./comment-note"
 import type { PromptHistoryComment } from "./history/entry"
 import type { ImageAttachmentPart, Prompt } from "./state"
 import { clonePrompt, promptLength } from "./prompt-parts"
@@ -74,13 +73,10 @@ export function createComposerSubmit(input: ComposerSubmitInput) {
     const submission = createComposerSubmission({
       target: input.adapter.state,
       prompt,
-      context: input.adapter.state.context
-        .items()
-        .map((item) =>
-          item.type === "browser"
-            ? { ...item, element: { ...item.element } }
-            : { ...item, selection: item.selection ? { ...item.selection } : undefined },
-        ),
+      context: input.adapter.state.context.items().map((item) => ({
+        ...item,
+        selection: item.selection ? { ...item.selection } : undefined,
+      })),
     })
     const read = readSubmission(input, submission.prompt, submission.context, text, options?.alternate ?? false)
     if (!read) {
@@ -199,30 +195,19 @@ function handoffMessage(value: ComposerSubmission): SessionMessageUser {
       attachments: value.prompt.flatMap((part) =>
         part.type === "path" ? [{ name: part.filename, mime: part.mime, path: part.path }] : [],
       ),
-      comments: value.context.flatMap((item): PromptComment[] => {
-        const comment = item.comment?.trim()
-        if (!comment) return []
-        if (item.type === "browser")
-          return [
-            {
-              type: "browser",
-              tabID: item.tabID,
-              url: item.url,
-              ...(item.title ? { title: item.title } : {}),
-              element: { ...item.element },
-              comment,
-            },
-          ]
-        return [
-          {
-            path: item.path,
-            comment,
-            ...(item.selection ? { selection: { ...item.selection } } : {}),
-            ...(item.preview !== undefined ? { preview: item.preview } : {}),
-            ...(item.commentOrigin ? { origin: item.commentOrigin } : {}),
-          },
-        ]
-      }),
+      comments: value.context.flatMap((item) =>
+        item.comment?.trim()
+          ? [
+              {
+                path: item.path,
+                comment: item.comment.trim(),
+                ...(item.selection ? { selection: { ...item.selection } } : {}),
+                ...(item.preview !== undefined ? { preview: item.preview } : {}),
+                ...(item.commentOrigin ? { origin: item.commentOrigin } : {}),
+              },
+            ]
+          : [],
+      ),
       agent: value.selection.agent,
       model: {
         ...value.selection.model,
@@ -302,27 +287,15 @@ function restoreSubmission(
   restored.target.context.replaceComments(
     restored.context
       .filter((item) => !!item.comment?.trim())
-      .map((item) =>
-        item.type === "browser"
-          ? {
-              type: "browser",
-              tabID: item.tabID,
-              url: item.url,
-              title: item.title,
-              element: item.element,
-              comment: item.comment,
-              commentID: item.commentID,
-            }
-          : {
-              type: "file",
-              path: item.path,
-              selection: item.selection,
-              comment: item.comment,
-              commentID: item.commentID,
-              commentOrigin: item.commentOrigin,
-              preview: item.preview,
-            },
-      ),
+      .map((item) => ({
+        type: "file",
+        path: item.path,
+        selection: item.selection,
+        comment: item.comment,
+        commentID: item.commentID,
+        commentOrigin: item.commentOrigin,
+        preview: item.preview,
+      })),
   )
   // A recovered follow-up changes the payload, so it must use a new admission ID.
   if (value.mode === "normal" && restored.prompt === submission.prompt) {

packages/app/src/desktop.ts

@@ -5,7 +5,6 @@ export { loadLocaleDict, normalizeLocale, type Locale, useLanguage } from "./run
 export { type FatalRendererErrorLog, type Platform, PlatformProvider } from "./runtime/platform/platform"
 export type {
   BrowserPaneCommand,
-  BrowserPaneElement,
   BrowserPaneEndpoint,
   BrowserPaneEvent,
   BrowserPaneLayout,

packages/app/src/index.css

@@ -445,42 +445,6 @@
     }
   }
 
-  @keyframes browser-comment-enter {
-    from {
-      opacity: 0;
-    }
-  }
-
-  @keyframes browser-comment-editor-enter {
-    from {
-      opacity: 0;
-      transform: translateY(4px) scale(0.98);
-    }
-  }
-
-  [data-component="browser-comment"] {
-    animation: browser-comment-enter 160ms cubic-bezier(0.215, 0.61, 0.355, 1);
-  }
-
-  /* Dim the frozen page around the picked element, whose DevTools highlight stays in the still. */
-  [data-component="browser-comment"] [data-slot="browser-comment-spotlight"] {
-    box-shadow:
-      0 0 0 1px var(--v2-border-border-focus),
-      0 0 0 100vmax color-mix(in srgb, var(--v2-overlay-simple-overlay-scrim) 50%, transparent);
-  }
-
-  [data-component="browser-comment"] [data-slot="browser-comment-editor"] {
-    animation: browser-comment-editor-enter 200ms cubic-bezier(0.215, 0.61, 0.355, 1);
-    transform-origin: top left;
-  }
-
-  @media (prefers-reduced-motion: reduce) {
-    [data-component="browser-comment"],
-    [data-component="browser-comment"] [data-slot="browser-comment-editor"] {
-      animation: none;
-    }
-  }
-
   [data-slot="home-projects-scroll"] {
     timeline-scope: --home-projects-scroll;
   }

packages/app/src/new-session/project/controller.ts

@@ -62,7 +62,6 @@ export function createComposerProjectControls(props: { draftId: string; worktree
   return createMemo<PromptProjectControls>(() => ({
     available: projects(),
     directory: location().directory,
-    projectID: location().current?.project.id,
     server: servers.list.length > 1 ? ServerConnection.key(projectServer()) : undefined,
     select: selectProject,
     add: addProject,