refactor(ai): simplify OpenRouter native adapters

refactor(ai): reuse shared OpenRouter Responses implementation
refactor(ai): share OpenRouter Responses protocol
2026-10-01 13:07:45 +00:00 · 2026-09-30 17:04:09 -05:00 · 2026-09-30 17:04:09 -05:00 · 2026-09-30 17:04:09 -05:00 · 2026-09-30 17:04:09 -05:00 · 2026-09-30 15:14:20 -05:00
360 changed files with 12362 additions and 4743 deletions
@@ -662,7 +662,7 @@ jobs:
    needs:
      - version
      - publish
-    if: github.repository == 'anomalyco/opencode' && github.ref_name == 'v2' && needs.version.outputs.release && needs.publish.result == 'success'
+    if: ${{ !cancelled() && 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.
@@ -32,7 +32,7 @@
    },
    "packages/ai": {
      "name": "@opencode/ai",
-      "version": "2.0.18",
+      "version": "2.0.20",
      "dependencies": {
        "@aws-sdk/credential-providers": "3.1057.0",
        "@opencode/schema": "workspace:*",
@@ -54,7 +54,7 @@
    },
    "packages/app": {
      "name": "@opencode/app",
-      "version": "2.0.18",
+      "version": "2.0.20",
      "dependencies": {
        "@corvu/drawer": "catalog:",
        "@dnd-kit/abstract": "0.5.0",
@@ -112,7 +112,7 @@
    },
    "packages/cli": {
      "name": "@opencode/cli",
-      "version": "2.0.18",
+      "version": "2.0.20",
      "bin": {
        "opencode": "./bin/opencode.cjs",
        "opencode2": "./bin/opencode2.cjs",
@@ -178,7 +178,7 @@
    },
    "packages/client": {
      "name": "@opencode/client",
-      "version": "2.0.18",
+      "version": "2.0.20",
      "dependencies": {
        "@opencode/protocol": "workspace:*",
        "@opencode/schema": "workspace:*",
@@ -204,7 +204,7 @@
    },
    "packages/codemode": {
      "name": "@opencode/codemode",
-      "version": "2.0.18",
+      "version": "2.0.20",
      "dependencies": {
        "acorn": "8.15.0",
        "effect": "catalog:",
@@ -217,7 +217,7 @@
    },
    "packages/console/app": {
      "name": "@opencode/console-app",
-      "version": "2.0.18",
+      "version": "2.0.20",
      "dependencies": {
        "@cloudflare/vite-plugin": "1.15.2",
        "@ibm/plex": "6.4.1",
@@ -253,7 +253,7 @@
    },
    "packages/console/core": {
      "name": "@opencode/console-core",
-      "version": "2.0.18",
+      "version": "2.0.20",
      "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": "2.0.18",
+      "version": "2.0.20",
      "dependencies": {
        "@openauthjs/openauth": "0.0.0-20250322224806",
        "@opencode/console-core": "workspace:*",
@@ -297,7 +297,7 @@
    },
    "packages/console/mail": {
      "name": "@opencode/console-mail",
-      "version": "2.0.18",
+      "version": "2.0.20",
      "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": "2.0.18",
+      "version": "2.0.20",
      "dependencies": {
        "@cloudflare/vite-plugin": "1.15.2",
        "@opencode/console-core": "workspace:*",
@@ -341,7 +341,7 @@
    },
    "packages/core": {
      "name": "@opencode/core",
-      "version": "2.0.18",
+      "version": "2.0.20",
      "dependencies": {
        "@ai-sdk/cohere": "3.0.27",
        "@ai-sdk/gateway": "3.0.104",
@@ -377,6 +377,7 @@
        "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",
@@ -409,7 +410,7 @@
    },
    "packages/desktop": {
      "name": "@opencode/desktop",
-      "version": "2.0.18",
+      "version": "2.0.20",
      "dependencies": {
        "@zip.js/zip.js": "2.7.62",
        "electron-context-menu": "5.0.0",
@@ -439,7 +440,7 @@
        "drizzle-kit": "catalog:",
        "drizzle-orm": "catalog:",
        "effect": "catalog:",
-        "electron": "44.4.3",
+        "electron": "44.4.5",
        "electron-builder": "26.15.7",
        "electron-vite": "6.0.0-beta.1",
        "puppeteer-core": "25.9.0",
@@ -458,7 +459,7 @@
    },
    "packages/enterprise": {
      "name": "@opencode/enterprise",
-      "version": "2.0.18",
+      "version": "2.0.20",
      "dependencies": {
        "@hono/standard-validator": "catalog:",
        "@opencode-ai/sdk": "1.18.21",
@@ -495,7 +496,7 @@
    },
    "packages/function": {
      "name": "@opencode/function",
-      "version": "2.0.18",
+      "version": "2.0.20",
      "dependencies": {
        "@octokit/auth-app": "8.0.1",
        "@octokit/rest": "catalog:",
@@ -511,7 +512,7 @@
    },
    "packages/http-recorder": {
      "name": "@opencode/http-recorder",
-      "version": "2.0.18",
+      "version": "2.0.20",
      "dependencies": {
        "@effect/platform-node-shared": "4.0.0-rc.112",
      },
@@ -530,7 +531,7 @@
    },
    "packages/httpapi-codegen": {
      "name": "@opencode/httpapi-codegen",
-      "version": "2.0.18",
+      "version": "2.0.20",
      "dependencies": {
        "effect": "catalog:",
        "prettier": "3.6.2",
@@ -543,7 +544,7 @@
    },
    "packages/latex": {
      "name": "@opencode/latex",
-      "version": "2.0.18",
+      "version": "2.0.20",
      "dependencies": {
        "@opencode/plugin": "workspace:*",
        "@opentui/core": "catalog:",
@@ -557,7 +558,7 @@
    },
    "packages/merman": {
      "name": "@opencode/merman",
-      "version": "2.0.18",
+      "version": "2.0.20",
      "dependencies": {
        "@opencode/plugin": "workspace:*",
        "@opentui/core": "catalog:",
@@ -572,7 +573,7 @@
    },
    "packages/plugin": {
      "name": "@opencode/plugin",
-      "version": "2.0.18",
+      "version": "2.0.20",
      "dependencies": {
        "@ai-sdk/provider": "3.0.8",
        "@opencode/ai": "workspace:*",
@@ -598,8 +599,8 @@
      },
      "peerDependencies": {
        "@opencode/theme": "workspace:*",
-        "@opentui/core": ">=0.5.12",
-        "@opentui/solid": ">=0.5.12",
+        "@opentui/core": ">=0.5.14",
+        "@opentui/solid": ">=0.5.14",
        "solid-js": ">=1.9.0",
      },
      "optionalPeers": [
@@ -611,7 +612,7 @@
    },
    "packages/plugin-browser": {
      "name": "@opencode/plugin-browser",
-      "version": "2.0.18",
+      "version": "2.0.20",
      "dependencies": {
        "@opencode/plugin": "workspace:*",
        "@opencode/schema": "workspace:*",
@@ -641,7 +642,7 @@
    },
    "packages/protocol": {
      "name": "@opencode/protocol",
-      "version": "2.0.18",
+      "version": "2.0.20",
      "dependencies": {
        "@opencode/schema": "workspace:*",
        "effect": "catalog:",
@@ -656,7 +657,7 @@
    },
    "packages/schema": {
      "name": "@opencode/schema",
-      "version": "2.0.18",
+      "version": "2.0.20",
      "dependencies": {
        "@standard-schema/spec": "catalog:",
        "effect": "catalog:",
@@ -680,7 +681,7 @@
    },
    "packages/sdk": {
      "name": "@opencode/sdk",
-      "version": "2.0.18",
+      "version": "2.0.20",
      "dependencies": {
        "@opencode/client": "workspace:*",
        "@opencode/core": "workspace:*",
@@ -701,7 +702,7 @@
    },
    "packages/server": {
      "name": "@opencode/server",
-      "version": "2.0.18",
+      "version": "2.0.20",
      "dependencies": {
        "@effect/platform-node": "catalog:",
        "@effect/platform-node-shared": "catalog:",
@@ -723,7 +724,7 @@
    },
    "packages/session-ui": {
      "name": "@opencode/session-ui",
-      "version": "2.0.18",
+      "version": "2.0.20",
      "dependencies": {
        "@kobalte/core": "catalog:",
        "@opencode/client": "workspace:*",
@@ -758,7 +759,7 @@
    },
    "packages/simulation": {
      "name": "@opencode/simulation",
-      "version": "2.0.18",
+      "version": "2.0.20",
      "dependencies": {
        "@opencode/ai": "workspace:*",
        "@opencode/core": "workspace:*",
@@ -778,7 +779,7 @@
    },
    "packages/stats/app": {
      "name": "@opencode/stats-app",
-      "version": "2.0.18",
+      "version": "2.0.20",
      "dependencies": {
        "@ibm/plex": "6.4.1",
        "@kobalte/core": "catalog:",
@@ -812,7 +813,7 @@
    },
    "packages/stats/core": {
      "name": "@opencode/stats-core",
-      "version": "2.0.18",
+      "version": "2.0.20",
      "dependencies": {
        "@aws-sdk/client-athena": "3.933.0",
        "@planetscale/database": "1.19.0",
@@ -831,7 +832,7 @@
    },
    "packages/stats/server": {
      "name": "@opencode/stats-server",
-      "version": "2.0.18",
+      "version": "2.0.20",
      "dependencies": {
        "@aws-sdk/client-firehose": "3.933.0",
        "@effect/platform-node": "catalog:",
@@ -877,7 +878,7 @@
    },
    "packages/theme": {
      "name": "@opencode/theme",
-      "version": "2.0.18",
+      "version": "2.0.20",
      "dependencies": {
        "@opentui/core": "catalog:",
        "effect": "catalog:",
@@ -891,7 +892,7 @@
    },
    "packages/tui": {
      "name": "@opencode/tui",
-      "version": "2.0.18",
+      "version": "2.0.20",
      "dependencies": {
        "@opencode/client": "workspace:*",
        "@opencode/core": "workspace:*",
@@ -925,7 +926,7 @@
    },
    "packages/ui": {
      "name": "@opencode/ui",
-      "version": "2.0.18",
+      "version": "2.0.20",
      "dependencies": {
        "@kobalte/core": "catalog:",
        "@pierre/diffs": "catalog:",
@@ -960,7 +961,7 @@
    },
    "packages/util": {
      "name": "@opencode/util",
-      "version": "2.0.18",
+      "version": "2.0.20",
      "dependencies": {
        "@effect/opentelemetry": "catalog:",
        "@effect/platform-node": "catalog:",
@@ -998,7 +999,7 @@
    },
    "packages/web": {
      "name": "@opencode/web",
-      "version": "2.0.18",
+      "version": "2.0.20",
      "dependencies": {
        "@astrojs/cloudflare": "12.6.3",
        "@astrojs/markdown-remark": "6.3.1",
@@ -1039,7 +1040,7 @@
    },
    "services/update": {
      "name": "@opencode/update",
-      "version": "2.0.18",
+      "version": "2.0.20",
      "dependencies": {
        "jose": "6.0.11",
        "semver": "catalog:",
@@ -1116,10 +1117,10 @@
    "@npmcli/arborist": "9.4.0",
    "@octokit/rest": "22.0.0",
    "@openauthjs/openauth": "0.0.0-20250322224806",
-    "@opentui/core": "0.5.12",
-    "@opentui/keymap": "0.5.12",
-    "@opentui/solid": "0.5.12",
-    "@pierre/diffs": "1.2.10",
+    "@opentui/core": "0.5.14",
+    "@opentui/keymap": "0.5.14",
+    "@opentui/solid": "0.5.14",
+    "@pierre/diffs": "1.5.1",
    "@playwright/test": "1.59.1",
    "@sentry/solid": "10.71.0",
    "@sentry/vite-plugin": "5.4.0",
@@ -2254,27 +2255,27 @@

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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=="],
+    "@opentui/solid": ["@opentui/solid@0.5.14", "", { "dependencies": { "@babel/core": "7.28.0", "@babel/preset-typescript": "7.27.1", "@opentui/core": "0.5.14", "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-bBRl34mZ0wFGhjHX6y1VNiZmJ3DSm2DVPm0PNSVDpvq9qxRHuywEPTCn/Lgte0C9450tgf11cDqcE3pR9cZwVA=="],

    "@oslojs/asn1": ["@oslojs/asn1@1.0.0", "", { "dependencies": { "@oslojs/binary": "1.0.0" } }, "sha512-zw/wn0sj0j0QKbIXfIlnEcTviaCzYOY3V5rAyjR6YtOByFtJiT574+8p9Wlach0lZH9fddD4yb9laEAIl4vXQA=="],

@@ -2530,11 +2531,11 @@

    "@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@1.2.10", "", { "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/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/theme": ["@pierre/theme@1.0.3", "", {}, "sha512-sWHv11TMoqKxKDgTIk5VbhQjdPhs8DCcBxbjh3mRlS3YOM/OcrWoGX6MM8eBGn9cUu3M46Py0JnxsG2nJaFTuA=="],
+    "@pierre/theme": ["@pierre/theme@2.0.0", "", {}, "sha512-yNDd9GYLQl1mEUJR8AneJ5e4ohLIHQd/wZLWr4fagt78vS2RwwZNW530vVgHqXFAyFVcFlRmGUD5ramXH46OXw=="],

-    "@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/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/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=="],

@@ -3870,7 +3871,7 @@

    "ejs": ["ejs@3.1.10", "", { "dependencies": { "jake": "^10.8.5" }, "bin": { "ejs": "bin/cli.js" } }, "sha512-UeJmFfOrAQS8OJWPZ4qtgHyWExa088/MtK5UEyoJGFH67cDEXkZSviOiKRCZ4Xij0zxI3JECgYs3oKx+AizQBA=="],

-    "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": ["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-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=="],

@@ -6258,11 +6259,7 @@

    "@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@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/diffs/diff": ["diff@9.0.0", "", {}, "sha512-svtcdpS8CgJyqAjEQIXdb3OjhFVVYjzGAPO8WGCmRbrml64SPw/jJD4GoE98aR7r25A0XcgrK3F02yw9R/vhQw=="],

    "@pierre/trees/react": ["react@19.2.8", "", {}, "sha512-PWaYA1L/q9u2u7xYQi+Y3L3Yfnie7XyLeaJICV1MGD6LprsBxcAqGjYyr0eY3p+QdsA+x/Irkt4Qif8D63+Sbw=="],

@@ -7160,8 +7157,6 @@

    "@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=="],
@@ -2,7 +2,7 @@
  "$schema": "https://json.schemastore.org/package.json",
  "name": "opencode",
  "description": "AI-powered development tool",
-  "version": "2.0.18",
+  "version": "2.0.20",
  "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": "0.5.12",
-      "@opentui/keymap": "0.5.12",
-      "@opentui/solid": "0.5.12",
+      "@opentui/core": "0.5.14",
+      "@opentui/keymap": "0.5.14",
+      "@opentui/solid": "0.5.14",
      "@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": "1.2.10",
+      "@pierre/diffs": "1.5.1",
      "opentui-spinner": "0.0.7",
      "@solid-primitives/event-listener": "2.4.6",
      "@solid-primitives/media": "2.3.6",
@@ -1203,12 +1203,22 @@ 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              | emits up to 4 `cache_control` markers                                     |
+| OpenRouter              | Anthropic/Qwen emit explicit markers; other families use upstream caching |
 | 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.
@@ -1,6 +1,6 @@
 {
  "$schema": "https://json.schemastore.org/package.json",
-  "version": "2.0.18",
+  "version": "2.0.20",
  "name": "@opencode/ai",
  "type": "module",
  "license": "MIT",
@@ -38,12 +38,31 @@ 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" })

@@ -149,9 +168,11 @@ const countHints = (request: LLMRequest) =>

 export const applyCachePolicy = (request: LLMRequest): LLMRequest => {
  if (!RESPECTS_INLINE_HINTS.has(request.model.route.id)) return request
-  if (request.model.route.id === "openrouter" && (request.cache === undefined || request.cache === "auto"))
-    return request
-  const policy = resolve(request.cache)
+  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 (!policy.tools && !policy.system && !policy.messages) return request

  const hint = makeHint(policy.ttlSeconds)
@@ -29,6 +29,7 @@ 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"

@@ -988,22 +989,6 @@ 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
@@ -1652,8 +1637,7 @@ 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-controls-2026-08-01")
+  if (thinking && thinking.type !== "disabled" && thinking.block_binding) betas.push(THINKING_BINDING_BETA)
  return betas
 }

@@ -23,6 +23,7 @@ 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"
@@ -443,6 +444,23 @@ 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)
@@ -450,7 +468,8 @@ 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 =
+  const thinking = applyThinkingBindingDefault(
+    request,
    options.thinking === undefined
      ? undefined
      : {
@@ -460,7 +479,8 @@ 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)
@@ -509,6 +529,8 @@ 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] }),
          },
  }
 })
@@ -555,7 +577,7 @@ interface ParserState {
  readonly hasToolCalls: boolean
  readonly lifecycle: Lifecycle.State
  readonly reasoningSignatures: Readonly<Record<number, string>>
-  readonly reasoningRedactedContent: Readonly<Record<number, ReadonlyArray<Uint8Array>>>
+  readonly reasoningRedactedContent: Readonly<Record<number, Uint8Array[]>>
 }

 const encodeRedactedContent = (chunks: ReadonlyArray<Uint8Array>) => Encoding.encodeBase64(concatBytes(chunks))
@@ -605,10 +627,9 @@ const step = (state: ParserState, event: BedrockEvent) =>
      const index = event.contentBlockDelta.contentBlockIndex
      const reasoning = event.contentBlockDelta.delta.reasoningContent
      const events: LLMEvent[] = []
-      const redactedChunks = yield* (() => {
+      const redactedChunk = 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,
@@ -619,17 +640,21 @@ const step = (state: ParserState, event: BedrockEvent) =>
          ),
        )
      })()
-      const redactedData = redactedChunks === undefined ? reasoning.data : encodeRedactedContent(redactedChunks)
+      const redactedChunks = state.reasoningRedactedContent[index] ?? []
+      if (redactedChunk !== undefined) redactedChunks.push(redactedChunk)
      const metadata = (() => {
        if (reasoning.signature) return providerMetadata(state.providerMetadataKey, { signature: reasoning.signature })
-        if (redactedData !== undefined) return providerMetadata(state.providerMetadataKey, { redactedData })
+        if (redactedChunk === undefined && reasoning.data !== undefined)
+          return providerMetadata(state.providerMetadataKey, { redactedData: reasoning.data })
      })()
      const lifecycle = (() => {
-        if (reasoning.text === undefined && metadata === undefined) return state.lifecycle
-        return Lifecycle.reasoningDelta(state.lifecycle, events, `reasoning-${index}`, reasoning.text ?? "", metadata)
+        if (reasoning.text !== undefined || metadata !== undefined)
+          return Lifecycle.reasoningDelta(state.lifecycle, events, `reasoning-${index}`, reasoning.text ?? "", metadata)
+        if (redactedChunk !== undefined) return Lifecycle.reasoningStart(state.lifecycle, events, `reasoning-${index}`)
+        return state.lifecycle
      })()
      const reasoningRedactedContent = (() => {
-        if (redactedChunks !== undefined) return { ...state.reasoningRedactedContent, [index]: redactedChunks }
+        if (redactedChunk !== undefined) return { ...state.reasoningRedactedContent, [index]: redactedChunks }
        if (reasoning.data === undefined) return state.reasoningRedactedContent
        return Object.fromEntries(
          Object.entries(state.reasoningRedactedContent).filter(([key]) => key !== String(index)),
@@ -765,7 +790,19 @@ const onHalt = (state: ParserState): ReadonlyArray<LLMEvent> => {
    return state.finishReason.normalized
  })()
  const events: LLMEvent[] = []
-  Lifecycle.finish(state.lifecycle, events, {
+  const lifecycle = Object.entries(state.reasoningRedactedContent).reduce((current, [index, chunks]) => {
+    const signature = state.reasoningSignatures[Number(index)]
+    return Lifecycle.reasoningEnd(
+      current,
+      events,
+      `reasoning-${index}`,
+      providerMetadata(
+        state.providerMetadataKey,
+        signature ? { signature } : { redactedData: encodeRedactedContent(chunks) },
+      ),
+    )
+  }, state.lifecycle)
+  Lifecycle.finish(lifecycle, events, {
    reason: {
      ...state.finishReason,
      normalized,
@@ -10,14 +10,19 @@ 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([
-      Schema.Struct({ name: Schema.String, description: Schema.String, input_schema: JsonObject }),
-      WebSearch,
-    ]),
-  ),
+  tools: optionalArray(Schema.Union([FunctionTool, WebSearch])),
 })

 const fromRequest = Effect.fn("MetaMessages.fromRequest")(function* (request: LLMRequest) {
@@ -426,6 +426,7 @@ interface ActiveContent {
  readonly type: "text" | "reasoning"
  readonly id: string
  readonly thinking?: MistralThinkingContent
+  readonly thinkingUnits?: MistralThinkingUnit[]
 }

 export interface ParserState {
@@ -502,8 +503,8 @@ const closeActive = (state: ParserState, events: LLMEvent[]) => {
          state.lifecycle,
          events,
          state.active.id,
-          thinkingMetadata(state.active.thinking ?? { type: "thinking", thinking: [] }),
-          thinkingText(state.active.thinking?.thinking ?? []),
+          thinkingMetadata({ ...state.active.thinking, type: "thinking", thinking: state.active.thinkingUnits ?? [] }),
+          thinkingText(state.active.thinkingUnits ?? []),
        )
  return { ...state, lifecycle, active: undefined }
 }
@@ -524,20 +525,23 @@ 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: [...(active.thinking?.thinking ?? []), ...units],
+    thinking: [],
  }
  const text = thinkingText(units)
  return {
    ...current,
    lifecycle:
      text.length > 0
-        ? Lifecycle.reasoningDelta(current.lifecycle, events, active.id, text, thinkingMetadata(thinking))
-        : Lifecycle.reasoningStart(current.lifecycle, events, active.id, thinkingMetadata(thinking)),
-    active: { ...active, thinking },
+        ? Lifecycle.reasoningDelta(current.lifecycle, events, active.id, text)
+        : Lifecycle.reasoningStart(current.lifecycle, events, active.id),
+    active: { ...active, thinking, thinkingUnits: accumulated },
    nextContent: current.active ? current.nextContent : current.nextContent + 1,
  }
 }
@@ -163,7 +163,7 @@ export const CompactionItem = Schema.Struct({
  encrypted_content: Schema.String,
 })

-// Kept out of the baseline `InputItem` union: only the OpenAI extension accepts it.
+// Kept out of the baseline `InputItem` union; extensions such as OpenAI and OpenRouter opt in.
 export const ConfigurationUpdate = Schema.Struct({
  type: Schema.Literal("configuration_update"),
  reasoning: Schema.Struct({ effort: OpenResponsesOptions.ReasoningEffort }),
@@ -298,18 +298,22 @@ const OpenResponsesBody = Schema.Struct({
 })
 export type OpenResponsesBody = Schema.Schema.Type<typeof OpenResponsesBody>

-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),
-})
+// 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)],
+)
 type OpenResponsesUsage = Schema.Schema.Type<typeof OpenResponsesUsage>

 // The spec requires `id` on every output item, but some gateways drop it from
@@ -20,7 +20,6 @@ import {
  type LLMRequest,
  type MediaPart,
  type ReasoningPart,
-  type TextPart,
  type ToolCallPart,
  type ToolDefinition,
 } from "../schema/index.js"
@@ -45,6 +44,7 @@ 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,
@@ -121,12 +121,15 @@ 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([
-  Schema.Struct({
-    type: Schema.Literal("text"),
-    text: Schema.String,
-    cache_control: Schema.optional(OpenAIChatCacheControl),
-  }),
+  OpenAIChatTextContent,
  Schema.Struct({
    type: Schema.Literal("image_url"),
    image_url: Schema.Struct({ url: Schema.String }),
@@ -136,6 +139,7 @@ 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({
@@ -149,21 +153,19 @@ const OpenAIChatMessage = Schema.Union([
  Schema.StructWithRest(
    Schema.Struct({
      role: Schema.Literal("assistant"),
-      content: Schema.NullOr(Schema.String),
+      content: Schema.NullOr(Schema.Union([Schema.String, Schema.Array(OpenAIChatTextContent)])),
      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.String,
-    cache_control: Schema.optional(OpenAIChatCacheControl),
+    content: Schema.Union([Schema.String, Schema.Array(OpenAIChatTextContent)]),
  }),
 ]).pipe(Schema.toTaggedUnion("role"))
 type OpenAIChatMessage = Schema.Schema.Type<typeof OpenAIChatMessage>
@@ -327,9 +329,7 @@ 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,
-  ) => Schema.Schema.Type<typeof OpenAIChatCacheControl> | undefined
+  readonly cacheControl?: (cache: CacheHint | undefined) => OpenAIChatCacheControl | undefined
  readonly toolCallID?: (id: string) => string
 }

@@ -415,7 +415,7 @@ const lowerUserMessage = Effect.fn("OpenAIChat.lowerUserMessage")(function* (
  message: OpenAIChatRequestMessage,
  options: LoweringOptions,
 ) {
-  const content: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []
+  const content: 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: TextPart[] = []
+  const content: OpenAIChatTextContent[] = []
  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(part)
+      content.push({ type: "text", text: part.text, cache_control: options.cacheControl?.(part.cache) })
      continue
    }
    if (part.type === "reasoning") {
@@ -486,14 +486,15 @@ 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: content.length > 0 ? content.map((part) => part.text).join("") : toolCalls.length > 0 ? null : "",
+    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("")
+    })(),
    ...(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 }
@@ -504,33 +505,38 @@ const lowerToolMessages = Effect.fn("OpenAIChat.lowerToolMessages")(function* (
  options: LoweringOptions,
 ) {
  const messages: OpenAIChatMessage[] = []
-  const attachments: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []
+  const attachments: 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({
-        role: "tool",
-        tool_call_id: options.toolCallID?.(part.id) ?? part.id,
-        content: ProviderShared.toolResultText(part),
-        cache_control: options.cacheControl?.(part.cache),
-      })
+      messages.push(
+        toolMessage(
+          options.toolCallID?.(part.id) ?? part.id,
+          ProviderShared.toolResultText(part),
+          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({
-      role: "tool",
-      tool_call_id: options.toolCallID?.(part.id) ?? part.id,
-      content: text.join("\n"),
-      cache_control: options.cacheControl?.(part.cache),
-    })
+    messages.push(
+      toolMessage(options.toolCallID?.(part.id) ?? part.id, text.join("\n"), 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,
@@ -589,7 +595,7 @@ const lowerMessages = Effect.fn("OpenAIChat.lowerMessages")(function* (request:
    if (requireAssistantAfterTool && messages.at(-1)?.role === "tool")
      messages.push({ role: "assistant", content: "Done." })
  }
-  const pendingAttachments: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []
+  const pendingAttachments: OpenAIChatUserContent[] = []
  const flushAttachments = () => {
    if (pendingAttachments.length === 0) return
    bridgeTools()
@@ -599,24 +605,25 @@ 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: options.cacheControl?.(part.cache) },
+            { type: "text", text: part.text, cache_control: cacheControl },
          ],
        })
        continue
      }
      const previous = messages.at(-1)
      if (previous?.role === "user" && typeof previous.content === "string")
-        messages[messages.length - 1] = options.cacheControl?.(part.cache)
+        messages[messages.length - 1] = cacheControl
          ? {
              role: "user",
              content: [
                { type: "text", text: previous.content },
-                { type: "text", text: part.text, cache_control: options.cacheControl(part.cache) },
+                { type: "text", text: part.text, cache_control: cacheControl },
              ],
            }
          : { role: "user", content: `${previous.content}\n${part.text}` }
@@ -625,15 +632,15 @@ const lowerMessages = Effect.fn("OpenAIChat.lowerMessages")(function* (request:
          role: "user",
          content: [
            ...previous.content,
-            { type: "text", text: part.text, cache_control: options.cacheControl?.(part.cache) },
+            { type: "text", text: part.text, cache_control: cacheControl },
          ],
        }
      else
        messages.push(
-          options.cacheControl?.(part.cache)
+          cacheControl
            ? {
                role: "user",
-                content: [{ type: "text", text: part.text, cache_control: options.cacheControl(part.cache) }],
+                content: [{ type: "text", text: part.text, cache_control: cacheControl }],
              }
            : { role: "user", content: part.text },
        )
@@ -124,7 +124,7 @@ const OpenAIResponsesCoreFields = {
  ),
 }

-const OpenAIResponsesBody = Schema.Struct({
+export const OpenAIResponsesBody = Schema.Struct({
  ...OpenAIResponsesCoreFields,
  stream: Schema.Literal(true),
 })
@@ -143,14 +143,19 @@ const adapter = {
  restoreHostedToolItem: (item: unknown) => (Schema.is(OpenAIResponsesHostedToolItem)(item) ? item : undefined),
 } satisfies OpenResponses.ProviderAdapter

-// GPT-6 Astra, Sol, and Luna accept `configuration_update` only in standard mode (not `reasoning.mode: "pro"` or
-// `-pro` slugs), and never alongside automatic `context_management` compaction.
+// GPT-6 Astra, Sol, Luna, and GPT-6.1 Sol accept `configuration_update` only in standard mode
+// (not `reasoning.mode: "pro"` or `-pro` slugs), and never alongside automatic `context_management` compaction.
 const supportsEffortUpdates = (request: LLMRequest) => {
  if (request.providerOptions?.contextManagement !== undefined) return false
-  if (Schema.is(Schema.Struct({ mode: Schema.Literal("pro") }))(request.http?.body?.reasoning)) return false
+  if (
+    [request.providerOptions?.reasoning, request.http?.body?.reasoning].some(
+      Schema.is(Schema.Struct({ mode: Schema.Literal("pro") })),
+    )
+  )
+    return false
  const override = request.model.compatibility?.supportsEffortUpdates
  if (override !== undefined) return override
-  return /(?:^|\/)gpt-6-(?:astra|sol|luna)$/i.test(request.model.id)
+  return /(?:^|\/)(?:gpt-6-(?:astra|sol|luna)|gpt-6\.1-sol)$/i.test(request.model.id)
 }

 const nativeImageToolInput = (tool: ToolDefinition) => {
@@ -0,0 +1,19 @@
+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))
+}
@@ -0,0 +1,153 @@
+export * as OpenRouterWire from "./openrouter.js"
+
+import { Effect, Option, Schema } from "effect"
+import { LLMRequest, Message, type ContentPart, type ReasoningPart } from "../../schema/index.js"
+import { OpenAIResponses } from "../openai-responses.js"
+import { AnthropicMessages } from "../anthropic-messages.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)
+
+export const responses = Effect.fn("OpenRouter.responses")(function* (request: LLMRequest) {
+  const { usage: _, ...options } = bodyOptions(request.providerOptions, request.generation?.maxTokens)
+  const body = yield* OpenAIResponses.protocol.body.from(
+    LLMRequest.update(request, {
+      providerOptions: {
+        ...request.providerOptions,
+        reasoningEffort: request.providerOptions?.reasoningEffort ?? options.reasoning?.effort,
+      },
+      messages: replayMessages(request, "responses"),
+    }),
+  )
+  return {
+    ...options,
+    ...body,
+    store: false as const,
+    // The shared lowerer owns the chronological effort baseline, including the model default.
+    ...(options.reasoning || body.reasoning
+      ? {
+          reasoning: {
+            ...options.reasoning,
+            ...body.reasoning,
+            effort: body.reasoning?.effort,
+            summary: body.reasoning?.summary ?? options.reasoning?.summary,
+          },
+        }
+      : {}),
+    ...(options.text || body.text ? { text: { ...options.text, ...body.text } } : {}),
+  }
+})
+
+export const messages = Effect.fn("OpenRouter.messages")(function* (request: LLMRequest) {
+  const { reasoning, usage: _, ...options } = bodyOptions(request.providerOptions, request.generation?.maxTokens)
+  const disabled = reasoning?.enabled === false || reasoning?.effort === "none"
+  const body = yield* AnthropicMessages.protocol.body.from(
+    LLMRequest.update(request, {
+      providerOptions: {
+        ...request.providerOptions,
+        effort:
+          request.providerOptions?.effort ??
+          (!disabled && typeof reasoning?.effort === "string" ? reasoning.effort : undefined),
+        thinking:
+          request.providerOptions?.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: replayMessages(request, "messages"),
+    }),
+  )
+  return { ...options, ...body }
+})
+
+function replayMessages(request: LLMRequest, format: "responses" | "messages") {
+  return request.messages.map((message) =>
+    message.role !== "assistant"
+      ? message
+      : Message.make({
+          ...message,
+          content: message.content.flatMap<ContentPart>((part) =>
+            part.type === "reasoning" ? replayReasoning(part, format) : [part],
+          ),
+        }),
+  )
+}
+
+// Existing Chat histories store signatures in reasoning_details, not native block/item metadata.
+function replayReasoning(part: ReasoningPart, format: "responses" | "messages"): ReasoningPart[] {
+  const metadata = part.providerMetadata?.openrouter
+  if (!Array.isArray(metadata?.reasoningDetails)) return [part]
+  const details = metadata.reasoningDetails.flatMap((detail) => Option.toArray(decodeReplayDetail(detail)))
+  const withMetadata = (extra: Record<string, unknown>, text = part.text): ReasoningPart => ({
+    ...part,
+    text,
+    providerMetadata: { ...part.providerMetadata, openrouter: { ...metadata, ...extra } },
+  })
+  if (format === "responses") {
+    const encrypted = details.find((detail) => detail.type === "reasoning.encrypted" || detail.type === "encrypted")
+    return [
+      withMetadata({
+        reasoningEncryptedContent: metadata.reasoningEncryptedContent ?? encrypted?.data ?? encrypted?.encrypted,
+      }),
+    ]
+  }
+  const blocks = details.flatMap<ReasoningPart>((detail) => {
+    if (detail.type === "reasoning.text" && detail.signature)
+      return [withMetadata({ signature: detail.signature }, detail.text ?? part.text)]
+    if (detail.type === "reasoning.encrypted" && detail.data) return [withMetadata({ redactedData: detail.data }, "")]
+    return []
+  })
+  return blocks.length ? blocks : [part]
+}
+
+export const bodyOptions = (input: LLMRequest["providerOptions"], maxTokens: number | undefined) => {
+  const {
+    usage,
+    models,
+    provider,
+    plugins,
+    web_search_options,
+    debug,
+    user,
+    reasoning,
+    text,
+    promptCacheKey,
+    ...options
+  } = input ?? {}
+  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
+}
@@ -1,4 +1,4 @@
-import { Option, Schema } from "effect"
+import { Option, Schema, SchemaGetter } from "effect"
 import {
  AuthenticationError,
  ContentPolicyError,
@@ -16,9 +16,13 @@ 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,
@@ -109,7 +113,8 @@ const QUOTA_CODES = new Set([
  "freeusagelimiterror",
  "creditlimitexceeded",
 ])
-const AUTH_CODES = new Set(["authentication_error", "permission_error"])
+// Google reports an invalid API key as HTTP 400 INVALID_ARGUMENT with this `details[].reason`.
+const AUTH_CODES = new Set(["authentication_error", "permission_error", "api_key_invalid"])
 const SERVER_CODES = new Set([
  "api_error",
  "internal_error",
@@ -154,6 +159,41 @@ 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
@@ -259,6 +299,10 @@ function providerCodes(value: unknown) {
    error?.type,
    error?.status,
    error?.error_type,
+    // Google `google.rpc.ErrorInfo` details carry the specific reason.
+    ...(Array.isArray(error?.details)
+      ? error.details.map((detail) => (isRecord(detail) ? detail.reason : undefined))
+      : []),
    inner?.code,
    metadata?.error_type,
    responseError?.code,
@@ -28,7 +28,8 @@ export type Settings = ProviderPackage.Settings &
    readonly provider?: string
  }

-export const routes = [AnthropicMessages.route]
+const compatibleRoute = AnthropicMessages.route.with({ id: "anthropic-compatible-messages", provider: id })
+export const routes = [compatibleRoute]

 const auth = (input: ProviderAuthOption<"optional">) => {
  if ("auth" in input && input.auth) return input.auth
@@ -43,7 +44,7 @@ export const configure = (input: Config) => {
      message: "Anthropic-compatible providers require a baseURL",
    })
  const { provider: _, baseURL, apiKey: _apiKey, auth: _auth, ...rest } = input
-  const route = AnthropicMessages.route.with({
+  const route = (provider === "anthropic" ? AnthropicMessages.route : compatibleRoute).with({
    ...rest,
    provider,
    endpoint: { baseURL },
@@ -42,14 +42,24 @@ export type Settings = ProviderPackage.Settings &

 export const baseURL = (input: GatewayURL) => {
  if (input.baseURL) return input.baseURL
-  if (!input.accountId)
-    throw new ProviderConfigurationError({
-      provider: id,
-      message: "CloudflareAIGateway.configure requires accountId unless baseURL is supplied",
-    })
-  return `https://api.cloudflare.com/client/v4/accounts/${encodeURIComponent(input.accountId)}/ai/v1`
+  return `https://api.cloudflare.com/client/v4/accounts/${encodeURIComponent(requireAccountId(input))}/ai/v1`
 }

+// Cloudflare's REST API rejects parts of the Anthropic Messages and OpenAI Responses request shapes, such as
+// system prompt blocks and `minimal` reasoning effort, so these models use the provider-native gateway endpoints.
+const passthroughURL = (input: GatewayURL & GatewayOptions, provider: "anthropic/v1" | "openai") =>
+  `https://gateway.ai.cloudflare.com/v1/${encodeURIComponent(requireAccountId(input))}/${encodeURIComponent(gatewayId(input))}/${provider}`
+
+const requireAccountId = (input: GatewayURL) => {
+  if (input.accountId) return input.accountId
+  throw new ProviderConfigurationError({
+    provider: id,
+    message: "CloudflareAIGateway.configure requires accountId unless baseURL is supplied",
+  })
+}
+
+const gatewayId = (input: GatewayOptions) => input.gatewayId?.trim() || "default"
+
 export const responsesRoute = OpenAIResponses.route.with({
  id: "cloudflare-ai-gateway-responses",
  provider: id,
@@ -70,16 +80,12 @@ export const route = OpenAIChat.route.with({

 export const routes = [responsesRoute, messagesRoute, route]

-const auth = (input: LanguageModelOptions) => {
-  if ("auth" in input && input.auth) return input.auth
-  return Auth.optional(input.gatewayApiKey ?? ("apiKey" in input ? input.apiKey : undefined), "apiKey")
+const credential = (input: LanguageModelOptions) =>
+  Auth.optional(input.gatewayApiKey ?? ("apiKey" in input ? input.apiKey : undefined), "apiKey")
    .orElse(Auth.config(authEnvVars[0]))
    .orElse(Auth.config(authEnvVars[1]))
-    .bearer()
-}

 const headers = (input: LanguageModelOptions) => ({
-  ...(input.gatewayId === undefined ? {} : { "cf-aig-gateway-id": input.gatewayId.trim() || "default" }),
  ...(input.metadata === undefined
    ? {}
    : { "cf-aig-metadata": Schema.encodeSync(Schema.fromJsonString(Schema.Unknown))(input.metadata) }),
@@ -90,31 +96,42 @@ const headers = (input: LanguageModelOptions) => ({
  ...input.headers,
 })

-const modelID = (input: string | ModelID) => {
-  const value = String(input)
-  if (value.startsWith("workers-ai/")) return value.slice("workers-ai/".length)
-  if (value.startsWith("anthropic/")) return `anthropic/${value.slice("anthropic/".length).replaceAll(".", "-")}`
-  return value
-}
-
 export const configure = (input: LanguageModelOptions) => {
-  const defaults = {
+  const custom = "auth" in input && input.auth ? input.auth : undefined
+  const rest = {
    endpoint: { baseURL: baseURL(input) },
-    auth: auth(input),
-    headers: headers(input),
+    auth: custom ?? credential(input).bearer(),
+    headers: { "cf-aig-gateway-id": gatewayId(input), ...headers(input) },
    http: input.http,
    providerOptions: input.providerOptions,
  }
-  const responses = responsesRoute.with(defaults)
-  const messages = messagesRoute.with(defaults)
-  const chat = route.with(defaults)
+  // A custom baseURL stands in for the REST API, so every model keeps using it with gateway model IDs.
+  const native = input.baseURL === undefined
+  const passthrough = (provider: "anthropic/v1" | "openai") =>
+    native
+      ? {
+          ...rest,
+          endpoint: { baseURL: passthroughURL(input, provider) },
+          auth: custom ?? Auth.bearerHeader("cf-aig-authorization", credential(input)),
+          headers: headers(input),
+        }
+      : rest
+  const responses = responsesRoute.with(passthrough("openai"))
+  const messages = messagesRoute.with(passthrough("anthropic/v1"))
+  const chat = route.with(rest)
  return {
    id,
    model: (input: string | ModelID) => {
-      const wire = modelID(input)
-      if (String(input).startsWith("openai/")) return responses.model<OpenAIProviderOptionsInput>({ id: wire })
-      if (String(input).startsWith("anthropic/")) return messages.model<OpenAIProviderOptionsInput>({ id: wire })
-      return chat.model<OpenAIProviderOptionsInput>({ id: wire })
+      const value = String(input)
+      if (value.startsWith("openai/"))
+        return responses.model<OpenAIProviderOptionsInput>({ id: native ? value.slice("openai/".length) : value })
+      if (value.startsWith("anthropic/"))
+        return messages.model<OpenAIProviderOptionsInput>({
+          id: native ? value.slice("anthropic/".length).replaceAll(".", "-") : value,
+        })
+      if (value.startsWith("workers-ai/"))
+        return chat.model<OpenAIProviderOptionsInput>({ id: value.slice("workers-ai/".length) })
+      return chat.model<OpenAIProviderOptionsInput>({ id: value })
    },
    configure,
  }
@@ -7,8 +7,12 @@ 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 { isRecord, ProviderShared } from "../protocols/shared.js"
+import { OpenRouterWire } from "../protocols/utils/openrouter.js"

 export const id = ProviderID.make("openrouter")
 const baseURL = "https://openrouter.ai/api/v1"
@@ -54,6 +58,7 @@ 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">
@@ -95,6 +100,18 @@ 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: {
@@ -123,7 +140,7 @@ export const protocol = Protocol.make({
          return {
            ...body,
            messages,
-            ...bodyOptions(request.providerOptions, request.generation?.maxTokens),
+            ...OpenRouterWire.bodyOptions(request.providerOptions, request.generation?.maxTokens),
          } as OpenRouterBody
        }),
      ),
@@ -131,6 +148,28 @@ export const protocol = Protocol.make({
  stream: OpenAIChat.protocol.stream,
 })

+const responsesProtocol = Protocol.make({
+  ...OpenAIResponses.protocol,
+  id: "openrouter-responses",
+  // The gateway additionally rejects chronological effort updates with automatic truncation.
+  supportsEffortUpdates: (request) =>
+    request.providerOptions?.truncation !== "auto" &&
+    request.http?.body?.truncation !== "auto" &&
+    (OpenAIResponses.protocol.supportsEffortUpdates?.(request) ?? false),
+  body: {
+    schema: OpenRouterResponsesBody,
+    from: OpenRouterWire.responses,
+  },
+})
+const messagesProtocol = Protocol.make({
+  ...AnthropicMessages.protocol,
+  id: "openrouter-messages",
+  body: {
+    schema: OpenRouterMessagesBody,
+    from: OpenRouterWire.messages,
+  },
+})
+
 const cacheControl = () => {
  const breakpoints = newBreakpoints(4)
  return (cache: CacheHint | undefined) => {
@@ -143,36 +182,6 @@ 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,
@@ -182,19 +191,45 @@ export const route = Route.make({
  framing: OpenAIChat.framing,
 })

-export const routes = [route]
+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>(),
+})

-const configuredRoute = (input: LanguageModelOptions) => {
+export const routes = [route, responsesRoute, messagesRoute]
+
+const routeOptions = (input: LanguageModelOptions) => {
  const { apiKey: _, auth: _auth, baseURL: endpoint, ...rest } = input
-  return route.with({
+  return {
    ...rest,
    endpoint: { baseURL: endpoint ?? baseURL },
    auth: AuthOptions.bearer(input, "OPENROUTER_API_KEY"),
-  })
+  }
 }

 export const configure = (input: LanguageModelOptions = {}) => {
-  const route = configuredRoute(input)
+  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 evaluation = (modelID: string | ModelID) =>
    SystemOne.model<OpenRouterEvaluationOptions>({
      id: modelID,
@@ -207,14 +242,24 @@ export const configure = (input: LanguageModelOptions = {}) => {
    })
  return {
    id,
-    model: (modelID: string | ModelID) =>
-      route.model<OpenRouterProviderOptionsInput>({ id: modelID, compatibility: { supportsPromptCacheKey: true } }),
+    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,
    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,
@@ -227,3 +272,5 @@ export const model: ProviderPackage.Definition<Settings, OpenRouterProviderOptio
    http: body === undefined ? undefined : { body: { ...body } },
    providerOptions,
  }).model(modelID)
+
+export * as OpenRouter from "./openrouter.js"
@@ -35,13 +35,13 @@ const RESPONSES_WEBSOCKET_ROTATE_AFTER_MS = 24 * 60 * 1000

 const responsesRoute = Route.make({
  compact: { endpoint: XAIResponses.compact },
-  id: "openai-responses",
+  id: "xai-responses",
  provider: id,
  providerMetadataKey: "xai",
  protocol: XAIResponses.protocol,
  endpoint: Endpoint.path("/responses", { baseURL }),
  transport: OpenResponsesChannel.transport({
-    id: "openai-responses",
+    id: "xai-responses",
    name: "xAI Responses",
    rotateAfterMs: RESPONSES_WEBSOCKET_ROTATE_AFTER_MS,
    // xAI continues a chain only from stored responses: with `store: false` (the route default) `previous_response_id`
@@ -53,7 +53,7 @@ const responsesRoute = Route.make({
 })

 const chatRoute = Route.make({
-  id: "openai-compatible-chat",
+  id: "xai-chat",
  provider: id,
  providerMetadataKey: "xai",
  protocol: OpenAIChat.protocol,
@@ -8,7 +8,7 @@ import {
  HttpClientResponse,
 } from "effect/unstable/http"
 import { HttpContext, HttpRateLimitDetails, AIError, TransportError } from "../schema/index.js"
-import { classifyProviderFailure } from "../provider-error.js"
+import { classifyProviderFailure, providerErrorMessage } from "../provider-error.js"
 import { Service, type HttpMiddleware, type Interface } from "./executor-service.js"

 export { Service } from "./executor-service.js"
@@ -84,21 +84,17 @@ export const responseHttp = (response: HttpClientResponse.HttpClientResponse) =>
    headers: headerDetails(response.headers),
  })

-const decodeProviderBody = Schema.decodeUnknownOption(
-  Schema.fromJsonString(
-    Schema.Struct({
-      message: Schema.optionalKey(Schema.String),
-      error: Schema.optionalKey(Schema.Struct({ message: Schema.optionalKey(Schema.String) })),
-    }),
-  ),
-)
+const MAX_BODY_CHARS = 2000

+// Without a recognized message, show the raw body so the provider's explanation is never dropped.
 const providerMessage = (status: number, body: string | void) => {
-  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 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 statusError = (response: HttpClientResponse.HttpClientResponse) =>
@@ -3,7 +3,17 @@ 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 { AmazonBedrock, GoogleVertexMessages } from "../src/providers.js"
+import {
+  Alibaba,
+  AmazonBedrock,
+  AnthropicCompatible,
+  CloudflareAIGateway,
+  GoogleVertexMessages,
+  Meta,
+  MiniMax,
+  Moonshot,
+  ZAICodingPlan,
+} 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"
@@ -107,6 +117,54 @@ describe("applyCachePolicy", () => {
    }),
  )

+  it.effect("'auto' emits Anthropic cache markers on Anthropic-compatible routes", () =>
+    Effect.gen(function* () {
+      const prepared = yield* compileRequest(
+        LLM.request({
+          model: AnthropicCompatible.configure({ apiKey: "test", baseURL: "https://messages.example.test/v1" }).model(
+            "compatible",
+          ),
+          system: "You are concise.",
+          prompt: "hi",
+        }),
+      )
+
+      expect(prepared.route).toBe("anthropic-compatible-messages")
+      expect(prepared.body).toMatchObject({
+        system: [{ type: "text", text: "You are concise.", cache_control: { type: "ephemeral" } }],
+        messages: [{ role: "user", content: [{ type: "text", text: "hi", cache_control: { type: "ephemeral" } }] }],
+      })
+    }),
+  )
+
+  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(
@@ -375,6 +375,8 @@ describe("OpenAI Responses effort updates", () => {
    ["openai/gpt-6-sol", true],
    ["gpt-6-luna", true],
    ["openai/gpt-6-luna", true],
+    ["gpt-6.1-sol", true],
+    ["~openai/gpt-6.1-sol", true],
    ["gpt-6-astra-2026-09-01", false],
    ["gpt-6-sol-pro", false],
    ["gpt-6-luna-pro", false],
@@ -273,10 +273,56 @@ 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")
+      expect(error.message).toBe("Provider request failed with HTTP 400: invalid parameter")
    }).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
@@ -299,7 +345,7 @@ describe("RequestExecutor", () => {
    ),
  )

-  it.effect("falls back when structured provider messages are empty", () =>
+  it.effect("shows the body when structured provider messages are empty", () =>
    Effect.gen(function* () {
      const executor = yield* RequestExecutor.Service
      const error = yield* executor.execute(request).pipe(Effect.flip)
@@ -308,7 +354,7 @@ describe("RequestExecutor", () => {
      expect(error.reason).toMatchObject({
        _tag: "InvalidRequest",
      })
-      expect(error.message).toBe("Provider request failed with HTTP 400")
+      expect(error.message).toBe('Provider request failed with HTTP 400: {"error":{"message":"  "}}')
    }).pipe(Effect.provide(fixedResponse('{"error":{"message":"  "}}', { status: 400 }))),
  )

@@ -154,8 +154,8 @@ describe("public exports", () => {
    expect(XAI.model).toBeFunction()
    expect(XAI.provider.responses).toBe(XAI.responses)
    expect(XAI.provider.chat).toBe(XAI.chat)
-    expect(XAI.configure({ apiKey: "fixture" }).responses("grok-4.3").route.id).toBe("openai-responses")
-    expect(XAI.configure({ apiKey: "fixture" }).chat("grok-4.3").route.id).toBe("openai-compatible-chat")
+    expect(XAI.configure({ apiKey: "fixture" }).responses("grok-4.3").route.id).toBe("xai-responses")
+    expect(XAI.configure({ apiKey: "fixture" }).chat("grok-4.3").route.id).toBe("xai-chat")
    expect(OpenAI.configure({ apiKey: "fixture" }).image("gpt-image-2").route.id).toBe("openai-images")
    expect(OpenAI.provider.image).toBe(OpenAI.image)
    expect(Google.configure({ apiKey: "fixture" }).image("imagen-4.0-generate-001").route.id).toBe("google-images")
@@ -10,7 +10,7 @@
      "usage"
    ],
    "name": "alibaba-messages/qwen-3-7-plus-streams-thinking-disabled",
-    "recordedAt": "2026-09-08T03:10:57.819Z"
+    "recordedAt": "2026-09-29T05:26:24.450Z"
  },
  "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.\"}]}],\"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.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"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_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"
+        "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"
      }
    }
  ]
@@ -10,7 +10,7 @@
      "usage"
    ],
    "name": "alibaba-messages/qwen-3-7-plus-streams-thinking-enabled",
-    "recordedAt": "2026-09-08T03:11:03.999Z"
+    "recordedAt": "2026-09-29T05:26:35.745Z"
  },
  "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.\"}]}],\"stream\":true,\"max_tokens\":4096,\"thinking\":{\"type\":\"enabled\",\"budget_tokens\":1024}}"
+        "body": "{\"model\":\"qwen3.7-plus\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"max_tokens\":4096,\"thinking\":{\"type\":\"enabled\",\"budget_tokens\":1024}}"
      },
      "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_9243d346-7958-94f1-b81a-72a33c12b5e2\",\"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\":\"thinking\",\"signature\":\"\",\"thinking\":\"\"},\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"Thinking\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" Process:\\n\\n1\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\".  Identify\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" the core request\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\": Calculate 1\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"73 *\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" 219\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" and return *only\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"* the final\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" integer.\\n2\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\".  Perform the\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" multiplication:\\n\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"    *   \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"173 *\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" 219\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"\\n    *  \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" 173\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" * 20\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"0 = 3\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"4600\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"\\n   \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" *   1\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"73 * \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"10 = \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"1730\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"\\n    *  \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" 173\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" * 9 =\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" 155\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"7\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thLine truncated
+        "body": "event:ping\ndata:{\"type\":\"ping\"}\n\nevent:message_start\ndata:{\"message\":{\"model\":\"qwen3.7-plus\",\"id\":\"msg_1d2b3b1a-cb68-970b-89cc-5bc4074b845a\",\"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\":\"thinking\",\"signature\":\"\",\"thinking\":\"\"},\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"Thinking\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" Process:\\n\\n1\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\".  **Ident\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"ify the core question\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\":** The user wants\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" to know the product\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" of \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"173 and\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" 219\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\".\\n2.\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"  **Identify\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" the constraint:** Reply\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" with *only*\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" the final\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" integer.\\n3\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\".  **Perform\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" the calculation:**\\n\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"    *   \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"173 *\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" 219\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"\\n    *  \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" 173\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" * 20\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"0 = 3\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"4600\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"\\n   \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" *   1\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"73 * \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"10 = \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"1730\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndaLine truncated
      }
    }
  ]
@@ -9,7 +9,7 @@
      "image"
    ],
    "name": "alibaba-messages/qwen-3-8-flash-reads-image-bytes",
-    "recordedAt": "2026-09-08T03:11:05.331Z"
+    "recordedAt": "2026-09-29T05:26:39.160Z"
  },
  "interactions": [
    {
@@ -20,14 +20,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"qwen3.8-flash\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Read the three words in this image. Reply with only the words in order.\"},{\"type\":\"image\",\"source\":{\"type\":\"base64\",\"media_type\":\"image/png\",\"data\":\"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 truncated
+        "body": "{\"model\":\"qwen3.8-flash\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Read the three words in this image. Reply with only the words in order.\",\"cache_control\":{\"type\":\"ephemeral\"}},{\"type\":\"image\",\"source\":{\"type\":\"base64\",\"media_type\":\"image/png\",\"data\":\"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 truncated
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream"
        },
-        "body": "event:ping\ndata:{\"type\":\"ping\"}\n\nevent:message_start\ndata:{\"message\":{\"model\":\"qwen3.8-flash\",\"id\":\"msg_84fa8c1d-57b1-9645-be64-fa27c790cdff\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"usage\":{\"input_tokens\":16,\"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\":\"j\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"iggling restroom prison\"},\"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\":110,\"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-flash\",\"id\":\"msg_64a9e119-56aa-9556-b522-a030e231d980\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"usage\":{\"input_tokens\":16,\"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\":\"j\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"iggling restroom prison\"},\"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\":110,\"cache_read_input_tokens\":0,\"prompt_tokens_details\":{\"cached_tokens\":0}}}\n\nevent:message_stop\ndata:{\"type\":\"message_stop\"}\n\n"
      }
    }
  ]
@@ -9,7 +9,7 @@
      "structured-output"
    ],
    "name": "alibaba-messages/qwen-3-8-max-follows-a-json-schema",
-    "recordedAt": "2026-09-08T03:11:30.530Z"
+    "recordedAt": "2026-09-29T05:26:41.466Z"
  },
  "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.\"}]}],\"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}}}}"
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@@ -12,7 +12,7 @@
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Paris is currently\"},\"type\":\"content_block_delta\",\"index\":1}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\" sunny at\"},\"type\":\"content_block_delta\",\"index\":1}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\" 18°C\"},\"type\":\"content_block_delta\",\"index\":1}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\".\"},\"type\":\"content_block_delta\",\"index\":1}\n\nevent:content_block_stop\ndata:{\"type\":\"content_block_stop\",\"index\":1}\n\nevent:message_delta\ndata:{\"delta\":{\"stop_reason\":\"end_turn\"},\"Line truncated
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@@ -59,14 +59,14 @@
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+        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"We have a budget of 38000 dollars for 219 trips costing 173 dollars each. Calculate whether that is affordable. If it is, use get_weather to look up the current weather in Paris. After receiving the result, report the weather in one short sentence.\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"219 × 173 = 37887. ≤ 38000, affordable. Then call get_weather Paris.\",\"signature\":\"\"},{\"type\":\"tool_use\",\"id\":\"toolu_4b23422a5a214d5897e91ff2\",\"name\":\"get_weather\",\"input\":{\"city\":\"Paris\"}}]},{\"role\":\"user\",\"content\":[{\"type\":\"tool_result\",\"tool_use_id\":\"toolu_4b23422a5a214d5897e91ff2\",\"content\":\"{\\\"condition\\\":\\\"sunny\\\",\\\"temperature\\\":\\\"18C\\\"}\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"Calculation: 219 × 173 = 37,887 dollars ≤ 38,000 dollars, so it's purchasable.\\n\",\"signature\":\"\"},{\"type\":\"text\",\"text\":\"Yes, it's affordable: 219 trips × $173 = $37,887, which is within the $38,000 budget (leaving $113 to spare). Paris is currently sunny at 18°C.\"}]},{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What temperature did the tool report? Reply with only the temperature.\",\"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\"}}],\"stream\":true,\"max_tokens\":4096,\"output_config\":{\"effort\":\"medium\"}}"
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@@ -11,7 +11,7 @@
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-    "recordedAt": "2026-09-08T03:08:06.284Z"
+    "recordedAt": "2026-09-29T05:26:45.747Z"
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@@ -22,14 +22,14 @@
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+        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"max_tokens\":4096}"
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@@ -0,0 +1,34 @@
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+        "body": "{\"modelId\":\"global.anthropic.claude-opus-5-5\",\"messages\":[{\"role\":\"user\",\"content\":[{\"text\":\"How many positive integers below 5000 have exactly 12 positive divisors? Reply with the number only.\"}]},{\"role\":\"assistant\",\"content\":[{\"reasoningContent\":{\"reasoningText\":{\"text\":\"I need numbers under 5000 with exactly 12 divisors, based on the factorization patterns 12=12, 6·2, 4·3, 3·2·2, giving forms p^11, p^5·q, p^3·q^2, and p^2·q·r. Checking p^11, only 2^11=2048 works since 3^11 is too large, giving one solution; now I'm working through the p^5·q case starting with p=2.\\n\\nFor p^5·q, p=2 gives 35 valid q values, p=3 gives 7, p=5 gives none, totaling 42.\\n\\nFor p^3·q^2, checking each base p=2,3,5,7,11 against the bound, I get 8+5+2+2+0=17 solutions total.\\n\\nNow I'm setting up the p^2·q·r case where p, q, r are distinct primes with q<r, working through the bound qr<1250 for p=2, then qr≤555 for p=3 excluding 3, and starting the p=5 case.\\n\\nContinuing with q=11: r<113.5, giving π(113)=30, minus 5 primes ≤11 leaves 25. Then q=13: r<96.08...\\n\\nq=13: r≤96, π(96)=24, exclude 6 → 18. q=17: r≤73, π=21, exclude 7 → 14. q=19: r≤65, π=18, exclude 8 → 10. q=23: r≤54, π=16, exclude 9 → 7. q=29: r≤43, π=14, exclude 10 → 4. q=31: r≤40, π=12, exclude 11 → 1. q=37: none left since r must exceed 37. Running total after adding these: 78+50+36+25+18+14+10+7+4+1 = 221, matching my tally so far.\\n\\nNow moving to p=3, requiring q<r, both distinct from 3, with qr≤555. I work through q=2 giving 57 valid r, q=5 giving 26, q=7 giving 18, q=11 giving 10, q=13 giving 7, q=17 giving 4, q=19 giving 2, and I'm now checking q=23 where r≤24 limits things further.\\n\\nContinuing q=3 gives 8, q=5 gives 4, q=11 none, so p=7 sums to 25.\\n\\nFor p=11: q=2 gives 6, q=3 gives 3, q=5 gives 1.\\n\\nMoving to p=13: q=2 gives 4, q=3 gives 2, q=5 gives none, totaling 6. Then p=17 sums to 4, p=19 gives 2, p=23 gives 1, so the p²qr total is 460.\\n\\nAdding everything up: 1+42+17+460 = 520. Let me double-check the p=2, q=3 case where 12r<5000 means r<416.67.\\n\\n\",\"signature\":\"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 truncated
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truncated
+        "bodyEncoding": "base64"
+      }
+    },
+    {
+      "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\":\"How many positive integers below 5000 have exactly 12 positive divisors? Reply with the number only.\"}]},{\"role\":\"assistant\",\"content\":[{\"reasoningContent\":{\"reasoningText\":{\"text\":\"I need numbers under 5000 with exactly 12 divisors, based on the factorization patterns 12=12, 6·2, 4·3, 3·2·2, giving forms p^11, p^5·q, p^3·q^2, and p^2·q·r. Checking p^11, only 2^11=2048 works since 3^11 is too large, giving one solution; now I'm working through the p^5·q case starting with p=2.\\n\\nFor p^5·q, p=2 gives 35 valid q values, p=3 gives 7, p=5 gives none, totaling 42.\\n\\nFor p^3·q^2, checking each base p=2,3,5,7,11 against the bound, I get 8+5+2+2+0=17 solutions total.\\n\\nNow I'm setting up the p^2·q·r case where p, q, r are distinct primes with q<r, working through the bound qr<1250 for p=2, then qr≤555 for p=3 excluding 3, and starting the p=5 case.\\n\\nContinuing with q=11: r<113.5, giving π(113)=30, minus 5 primes ≤11 leaves 25. Then q=13: r<96.08...\\n\\nq=13: r≤96, π(96)=24, exclude 6 → 18. q=17: r≤73, π=21, exclude 7 → 14. q=19: r≤65, π=18, exclude 8 → 10. q=23: r≤54, π=16, exclude 9 → 7. q=29: r≤43, π=14, exclude 10 → 4. q=31: r≤40, π=12, exclude 11 → 1. q=37: none left since r must exceed 37. Running total after adding these: 78+50+36+25+18+14+10+7+4+1 = 221, matching my tally so far.\\n\\nNow moving to p=3, requiring q<r, both distinct from 3, with qr≤555. I work through q=2 giving 57 valid r, q=5 giving 26, q=7 giving 18, q=11 giving 10, q=13 giving 7, q=17 giving 4, q=19 giving 2, and I'm now checking q=23 where r≤24 limits things further.\\n\\nContinuing q=3 gives 8, q=5 gives 4, q=11 none, so p=7 sums to 25.\\n\\nFor p=11: q=2 gives 6, q=3 gives 3, q=5 gives 1.\\n\\nMoving to p=13: q=2 gives 4, q=3 gives 2, q=5 gives none, totaling 6. Then p=17 sums to 4, p=19 gives 2, p=23 gives 1, so the p²qr total is 460.\\n\\nAdding everything up: 1+42+17+460 = 520. Let me double-check the p=2, q=3 case where 12r<5000 means r<416.67.\\n\\n\",\"signature\":\"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 truncated
+      },
+      "response": {
+        "status": 400,
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"message\":\"The model returned the following errors: messages.1.content.0: Invalid `signature` in `thinking` block. The block is bound to a different conversation. Remove the block, or set `thinking.block_binding.prefix_mismatch_behavior` to \\\"drop_block\\\". The `system` prompt differs from the one this block was created with.\"}"
+      }
+    }
+  ]
+}
@@ -0,0 +1,38 @@
+{
+  "version": 1,
+  "metadata": {
+    "provider": "cloudflare-ai-gateway",
+    "route": "cloudflare-ai-gateway-messages",
+    "transport": "http",
+    "model": "claude-haiku-4-5",
+    "tags": [
+      "prefix:cloudflare-ai-gateway",
+      "provider:cloudflare-ai-gateway",
+      "text",
+      "golden"
+    ],
+    "name": "cloudflare-ai-gateway/cloudflare-ai-gateway-claude-haiku-4-5-text",
+    "recordedAt": "2026-09-30T04:35:43.657Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://gateway.ai.cloudflare.com/v1/{account}/{gateway}/anthropic/v1/messages",
+        "headers": {
+          "anthropic-version": "2023-06-01",
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"claude-haiku-4-5\",\"system\":[{\"type\":\"text\",\"text\":\"You are concise.\"}],\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Reply exactly with: Hello!\"}]}],\"stream\":true,\"max_tokens\":40,\"temperature\":0}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream; charset=utf-8"
+        },
+        "body": "event: message_start\ndata: {\"p\": \"6247a7b95b5e3f\", \"type\":\"message_start\",\"message\":{\"model\":\"claude-haiku-4-5-20251001\",\"id\":\"msg_011CfZ16hXSVRfaXBDtUBKis\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"container\":null,\"stop_reason\":null,\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":18,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"output_tokens\":2,\"service_tier\":\"standard\",\"inference_geo\":\"not_available\"},\"diagnostics\":null}}\n\nevent: content_block_start\ndata: {\"p\": \"f9b\", \"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}             }\n\nevent: ping\ndata: {\"p\": \"cc76aa8\", \"type\": \"ping\"}\n\nevent: content_block_delta\ndata: {\"p\": \"94f\", \"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"Hello!\"}              }\n\nevent: content_block_stop\ndata: {\"p\": \"1a9d8\", \"type\":\"content_block_stop\",\"index\":0 }\n\nevent: message_delta\ndata: {\"p\": \"0cb3c23\", \"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\",\"stop_sequence\":null,\"stop_details\":null,\"container\":null},\"usage\":{\"input_tokens\":18,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"output_tokens\":5}              }\n\nevent: message_stop\ndata: {\"p\": \"6ef9de29973ed\", \"type\":\"message_stop\"              }\n\n"
+      }
+    }
+  ]
+}
@@ -0,0 +1,58 @@
+{
+  "version": 1,
+  "metadata": {
+    "provider": "cloudflare-ai-gateway",
+    "route": "cloudflare-ai-gateway-messages",
+    "transport": "http",
+    "model": "claude-haiku-4-5",
+    "tags": [
+      "prefix:cloudflare-ai-gateway",
+      "provider:cloudflare-ai-gateway",
+      "tool",
+      "tool-loop",
+      "golden"
+    ],
+    "name": "cloudflare-ai-gateway/cloudflare-ai-gateway-claude-haiku-4-5-tool-loop",
+    "recordedAt": "2026-09-30T04:35:45.222Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://gateway.ai.cloudflare.com/v1/{account}/{gateway}/anthropic/v1/messages",
+        "headers": {
+          "anthropic-version": "2023-06-01",
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+}
@@ -2,9 +2,16 @@
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  "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": "2026-09-07T17:27:03.540Z"
+    "recordedAt": "2026-09-29T05:29:52.700Z"
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  "interactions": [
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    {
@@ -33,14 +40,14 @@
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  ]
@@ -2,9 +2,16 @@
  "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": "2026-09-07T17:26:18.565Z"
+    "recordedAt": "2026-09-29T05:29:46.263Z"
  },
  "interactions": [
    {
@@ -15,14 +22,14 @@
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        },
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      "response": {
        "status": 200,
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      }
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  ]
@@ -2,9 +2,16 @@
  "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": "2026-09-07T17:26:20.464Z"
+    "recordedAt": "2026-09-29T05:29:50.023Z"
  },
  "interactions": [
    {
@@ -15,14 +22,14 @@
        "headers": {
          "content-type": "application/json"
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-        "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\"}}"
+        "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\"}}"
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      "response": {
        "status": 200,
        "headers": {
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      }
    }
  ]
@@ -13,7 +13,7 @@
      "protocol:meta-messages"
    ],
    "name": "meta-search/searches-and-replays-grounded-messages",
-    "recordedAt": "2026-09-07T17:28:39.420Z"
+    "recordedAt": "2026-09-29T05:30:15.048Z"
  },
  "interactions": [
    {
@@ -24,14 +24,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"muse-spark-1.3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Use web search to find NASA's page identifying the first person to walk on the Moon. Answer in one sentence with a source citation.\"}]}],\"tools\":[{\"type\":\"web_search\",\"name\":\"web_search\"}],\"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\":\"Use web search to find NASA's page identifying the first person to walk on the Moon. Answer in one sentence with a source citation.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"type\":\"web_search\",\"name\":\"web_search\"}],\"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_6a9ef43bffb1896e384c4085\",\"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: 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content_block_stop\ndata: {\"index\":0,\"type\":\"content_block_stop\"}\n\nevent: content_block_start\ndata: 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content_block_stop\ndata: {\"index\":1,\"type\":\"content_block_stop\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"data\":\"Q-PaDgFzx0-Bogj1HzgwX5_kdYvDTFmq7pc9M6ztA4pN_xK1Jn8WEedInIZ4Y6_QSsd1nuPNGyfKKFPXxvXsIOTOAeijM0gk0455z2D6SjZXRWng7ls-q1rj5k8Q7iUnNPm2iDWDO8DLYOu3TJ5Tiz2xk9DGkQDxMwsdxU8LRJEqLxh1BAT6yK8qGomXsoLXmgoKbg2uxbaHRmiv37xmv7E0uT6hpO_zzbEorqTF7wa4KdZpDf_CPe8eKRuuzNO5mf5GwZDezr0xedhSuNdZDG3SCb-tlQXjn4yxFRQkYb3rPuJp9tSzbmLJz4XO2RPBOSF4Su9SMADYvkamk9vFqqEOmMp3VM4pWOUhqg2yWYv9p4NaKo0l-JyLmQyr-U9nXPZ2KpEoV_43BI7jf2OnCWwgdNSMFdM94qcb0sxzZaL4AmLZOA-EwxqOmGe1K9FO_BdOLKNxHe32HrTKDSdS4CjAuij7Z0XouKiJCeCtiik88ToJmJtsKNjkpnon2SMZR26KIYB74mFAl1DEAyWJ4S9yxii7pfdClg1MYMPTVgr6eEyhFpwOXjFQl8ViXLEQjy2cuGh7uloVR32kX8Mxfd3WZJpSPOtfkFcpP056NOh_luSNByMvLSqOTrtFWwDdXnXrqES8l9jEbnXBkaucOqspy278KL40qF6pxKLY-qnM8dPyvO2y0Axbl7QElTnq-OwpUOqkBu6RDrVZfYqCA3cR672ek5Rp8RUyoC6E4BuahKmrXqqUgLPk7Si1kxzuvPAk6sY1O8MgesAcLeDWUeTQgkwtrdWJOW7bLTTkBgWnQnmIqbDO8uoZqPtjjBZNMZ174IlsKCJnFAboL4WKUzH45lowp2SvFaTqQm1E2N9fgTRm26tmP383t45Q9F5h6995NuFZifq8YdCHuegn3vnnkEPhRHFjV1BGOQeyh31NOlnW6oXJAs9k0iIgc24y_3Zn4zN9vGtZulrvMbLpsfq7exsxrV8uoUcAxUsDtg8iVOD6IkNnFzohD8Jbwq_5tujQ9XybI6jn4pt_SONKl3kp6rdiLBLVJ8pC5NaNnTt1EEV0NqnxHr7TXHpe0VOyjaebFPgEPwi-E69mfsRbWQdzwLnWqFr2nvTmVTV4ueu8smeqbR5QfaB_rsWHuMNfZGP8DFXc28h7Zqr3jl2UBAJBiUI961w_ua2ZwL-APq6Nk6b_54id3rkOnj2Mk5C_Y8LOAKwYinXJV509JJXw4B5f8ULLRGU_1XdW7MNjnfCEfEaAfGD2a74EcaiXsbPaT3DZGMTfbzOsU-062n2ZxYn8HMLine 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    {
@@ -42,14 +42,14 @@
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          "content-type": "application/json"
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Answer in one sentence with a source citation.\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"redacted_thinking\",\"data\":\"Q-PaDgE16f1EbUmKktry7QQzbLOYpmhm_UBcIZqXZQ6t36BkGWdLa1PY2w6M3nrYKtd1OpqOXIyf2wrz_nrIo0Mhjw-JE8CwkopRZTsbO3PsfBAkLOvqEf9FuWny3rnegyeZkKExEdH6y9iL2otEa3GD71C-QeD7wZjOWTc0AVMrg_fBOHk3tPPuBKsek0pO5RpxyQW7sRy2xJ1hTLymcQjVQ9YgbFf0ss_1G7yuB7Mjf9aS_wmk4sWdT-nnajR7WvlYAA3zjKK1GqT4qZzMxr9We3j2qOOk_afRm_D80NR7AkaqEv7G3WiIyAKDCKjXzwq9wBbF7ihC9d_V5q89dvclru5OBW3ujTLqejZKK80xJKXexHkTfA2MHpuPQvxVXQpwTg3c4w-qvMbEH7DqK3IO7Gz4LUTyjARWHQ7ZuQZgte4LiJVCK1Mi7tI-JS0ZFlPpK-TUNXpgi30JMV3U4ps9J1CHE2avQV_Wc6kFIAC6H_nemP6oiAxTd2suM7lRC_StFpSn1gh-ntIPR_sCyMXO1u1Ed4SiB_HjgWSgPWlZngWyqhoqkULqhKRTzdjTqz87QvsMpesR0lYKcz8lqoaVgcoUj4mSJwfL0t92h7VMezcOY5m85jsT1Zxyng3Dxja0x5ZjZz0Jih6Hbkg-qRPdIy346xrpLQVsc4Uh44fHo9S1fjw0ELzFov8mrLujz0FdFngC0SKPDw4nsqNVsKO-DJMBegrwBVKjkC5HfVIH7MYCmmL7mYF0QDB-Bplt389f6sm3o9y2ymzq0_jYwLmzYCtCBmNrVD-3fJgDbqsE06KwjNNUWvEEl5OwLq-OpPucQTPOr_qFv70dehU-hG797aylzpHN010GdKdhhnKSmFNQKmC8ahOk4B58pGt3A1xjc5eeyLvpYG3KA8gizuoPGT9s8IMROdTHpUmbcGJykS8AwX-ijf03A9ZriX3UH_C8-7LoJf3PVKDk56YMMVLM0C1GCpIlaUQwAXFzZmWa3Ei5k5AZ4zFBltLlmKY3yjvJLFYHcKXPoebk0H76ZuEzAKb32lqdGku7jGjQsv6EK9C5FN5O4d6MLtFH1DZtw68EZpKL4NMSWs-oOIbSLCe6CofEeJ8FVZmC0yiklvmPKGP2tGUTAp9VZKXsvTuqBZ3Zd6p3gM9wMWFKoM0oskGYdlouZECqkfqaNbzdCtjCgdJc3yBPhjENtOZFyJXPgyn122GYhVy_QM29ng4cm-mwka-VZn3179MDVGwiaX5YOMETN-gNXJaV4HJCBq25j5n0SRVyeqisP_95__LF0aFFaKi1d0s0ZXxbOUrCVyNBgcOHDRJ_qm1NcrlSLZY8OUUcwyG66KN9n8xCEPr_hzbnhalTHjti8Amgj-E6cbXsa2xLY1fnZ-BnWfWOnUQSimo9Z4sg8INrkdvBlw\"},{\"type\":\"redacted_thinking\",\"data\":\"Q-PaDgEKWNiIoMOZ9HdHCt3fH_fkfqg9xSPRQbRJ_yKBVnWOi5zW9knpr1OLW8NfYLSHuYRyVqkS-FWA79LxksEemeyf120eTVR-79-osIJzSjiLdgGvgYQ3llipSCCtvrWGOA-UqW2fvE8mT98UGPKCkoI0OF9XGXdwnswgO4mVjxmgFY69xH--yHLaKMwc01dk09yKgOrBFWYBaw3IDYZvzGN8DaFJLyjqtmU6eCFmZV0I2SYC80rGOUudpsh-fAyJAFU6C_Y7MMRmqMgdN0fstGWEuYCWKuaFdL_1QUEZIow-JfFUcTiIYWRAXyVOP4qygmbzJtwRXdKjSQ9qR2-7zHEUqVPBUSemBD7FMmMrs5e_kOFOVcsbIodM2-rRsr1lO33G7NXIj6gCmgDUy7Fq9iI1TgGnRUmcwmiavnpzN2TCFBUV1x-Menn_0yneT0XQ2kVDuMAT22cZwQ8cQV1ZFLwJ8RT7LjVyQJct9CjPhtuxz9zGnWWSIWznKURUIiNH63oXjJbUXgdyN9ubuN0DBDOtLxQlKE7mQPh431TzKUHT73qES0b0EvRMLqMcQcdKwTC0tepa9pRwsr9JWvms5Vy88LnYqEO74Q2W4UuJs0L5Tb_Ha7yYX8ykX9LrlETSE9FSge5ZvPotfrNr733BgX8d9Gx8iljZqkqOQ5BfFoFe_yWo2gVKviHz1PCHaZC7-ov5rcIlXeW2L5_oD5-og4hle6eXJi-qll7c86SIgTu8i8UJN1z4JiZpZXEKYtHGkLTPxSfZ709i8rqVzN_Xsx7rUz39quzvQOV-bCnpk6YRLHvaARhHDPDmlrwZTne8www9alNbyw7ricrtgEtJVNEU2Wpf68QJkSJ5nQ6bH2-tOFgp8eoK2BBkhnfjzqlXXTxFvid72OjD3PyGc1ZrK-bc-c9kP6Xe40-ZFLmMkqKSqSepF962zqIR_P8AyZDQiaMt9hRPtziXj8pM8R395H51VD3v5tMYrY-5xImLGzxEdUHIT6fbDvQ7Xbsr8c6vR7l1tV4SEKmdvJpmHUA7nRRIjpdc5Ow5kRJHkpUjTBYuLHFRwkfC_TEJCWnlOY1Z0yGwH78JYzJiulcuTySGqTFBfDV2dQGx1sxOqyn1C0_sgW0XvOET5Hx9_ZZosHr0m5ZkrHaei7uav8lohYwpdL8UKHrD466qRaa-KjamzP1P8VDvDbEguhLoKSCdYz0mtYz30gsePFsZHOnUBWKZA95kg3-mtAhqoXfueHmey3ODYsgF7QQogoRugk7GgTP0pfjj9SyGja6fvgDIRmUR3LaI2m5VjCuz8n6vWlozm2ZC4n1TDDlWryMxZk8xJ3jydDITCJfZluSeO1tLhnBdLurUN6-KtVsCoRTV-3Dt8xsxBAbPDic3P-82ici1d9DHcdSyyJ2e3KxnFA\"},{\"type\":\"redacted_thinking\",\"data\":\"Q-PaDgFzx0-Bogj1HzgwX5_kdYvDTFmq7pc9M6ztA4pN_xK1Jn8WEedInIZ4Y6_QSsd1nuPNGyfKKFPXxvXsIOTOAeijM0gk0455z2D6SjZXRWng7ls-q1rj5k8Q7iUnNPm2iDWDO8DLYOu3TJ5Tiz2xk9DGkQDxMwsdxU8LRJEqLxh1BAT6yK8qGomXsoLXmgoKbg2uxbaHRmiv37xmv7E0uT6hpO_zzbEorqTF7wa4KdZpDf_CPe8eKRuuzNO5mf5GwZDezr0xedhSuNdZDG3SCb-tlQXjn4yxFRQkYb3rPuJp9tSzbmLJz4XO2RPBOSF4Su9SMADYvkamk9vFqqEOmMp3VM4pWOUhqg2yWYv9p4NaKo0l-JyLmQyr-U9nXPZ2KpEoV_43BI7jf2OnCWwgdNSMFdM94qcb0sxzZaL4AmLZOA-EwxqOmGe1K9FO_BdOLKNxHe32HrTKDSdS4CjAuij7Z0XouKiJCeCtiik88ToJmJtsKNjkpnon2SMZR26KIYB74mFAl1DEAyWJ4S9yxii7pfdClg1MYMPTVgr6eEyhFpwOXjFQl8ViXLEQjy2cuGh7uloVR32kX8Mxfd3WZJpSPOtfkFcpP056NOh_luSNByMvLSqOTrtFWwDdXnXrqES8l9jEbnXBkaucOqspy278KL40qF6pxKLY-qnM8dPyvO2y0Axbl7QElTnq-OwpUOqkBu6RDrVZfYqCA3cR672ek5Rp8RUyoC6E4BuahKmrXqqUgLPk7Si1kxzuvPAk6sY1O8MgesAcLeDWUeTQgkwtrdWJOW7bLTTkBgWnQnmIqbDO8uoZqPtjjBZNMZ174IlsKCJnFAboL4WKUzH45lowp2SvFaTqQm1E2N9fgTRm26tmP383t45Q9F5h6995NuFZifq8YdCHuegn3vnnkEPhRHFjV1BGOQeyh31NOlnW6oXJAs9k0iIgc24y_3Zn4zN9vGtZulrvMbLpsfq7exsxrV8uoUcAxUsDtg8iVOD6IkNnFzohD8Jbwq_5tujQ9XybI6jn4pt_SONKl3kp6rdiLBLVJ8pC5NaNnTt1EEV0NqnxHr7TXHpe0VOyjaebFPgEPwi-E69mfsRbWQdzwLnWqFr2nvTmVTV4ueu8smeqbR5QfaB_rsWHuMNfZGP8DFXc28h7Zqr3jl2UBAJBiUI961w_ua2ZwL-APq6Nk6b_54id3rkOnj2Mk5C_Y8LOAKwYinXJV509JJXw4B5f8ULLRGU_1XdW7MNjnfCEfEaAfGD2a74EcaiXsbPaT3DZGMTfbzOsU-062n2ZxYn8HM3J6d5xTohf8wc5FuRfH0vaUakBthl0gLdyVpSQ5g3AS98yKJf1NO0BzE6LkMq3ubVQIC5tjkPLGvsE-M0HUIr17IMRSk7UCuTJWDyWWxYH_1J8eHUeufcBxA\"},{\"type\":\"text\",\"text\":\"I'll search NASA's site for the first Moonwalker.\"},{\"type\":\"server_tool_use\",\"id\":\"ws_call_01a07cea0e0871229519aee3634b1945\",\"name\":\"web_search\",\"input\":{\"queries\":[\"NASA first person to walk on the Moon\"],\"query\":\"NASA first persLine truncated
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Answer in one sentence with a source citation.\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"redacted_thinking\",\"data\":\"Q-PaDgFsSqf9GrZAXUpEUYeURSueQaiHVQAY0gJ6PLCCWKfWdCt8lS0vHvLMIDQIIOFLRfyrrd-hWkf-Z6Lpfjh4DwZxMFnE6tVBRgaIN3mN6isPYNz4PfB74ViK2Jy0mbjADX2qgRaFSd-KNafybYD9u1RXsCWnaVIqvr-c-WZCerIQnj_KOPS2Ey3Ka-YAviSAzIS3S_AiHmmk2FYg2c841iSsph2cwvWg5tjnzloDlt2vArDgRaviwvWSSPj6pMJFehe_ifhIAUPchOgH5cJDelmN-64XHxXc9NwormfdGLelnwD9de150Wylc9pMl8QPG1xrGwkWQQobci8Zup4NS3akQppggnyDD-vePoBz8uZQ8cqkNKBrTJe2jjKlF3AbGNvqC3QIiFpct67JzScMUUGsz4NwlA1oiNw_CA27PeZvrZUYViWeQ_keBoIPC6YPkOCPtl9Jpcc8bqiEKK7sQFs40jhHr42ieTxAf6PlZrz_AxHCXb0DEQpxZhuyGiL2JIqCT-q8SHPwGRDEUxA-QNd9k3fgaje-5fgioaN8BSGCahEhhhZHZOu7YeW0quYxQEl_yJCt91lclbjiy4rq5I_Auw8Bp9ZkkDqCbgSnRjYUswBoBC4QIRxGW4OIoCEpr-bBgteC34wptX71EsHdtbm8JCXcAOMg8-RJR1uIWgR-0m39L93osPcFCA68R0w713SSBTfTfQJliRkogdAlqAH7sl1dnwdc5N4jIvGduuAFzb7K-_1zephWmzwMFV45DnRhejGmg_VJZSjsVcG1hMD6siMMfZ60GTt4V9J-9f2UfHn1ivT37gsq221hsvx7BaFEfXngYKSLGfWv1l0h00A3DIXnbk0UyIWSJ2pvow0iGLEkMWca-s6tU4LexiC0AYHKAUfgLpOCxkkWdiozmusEG138k2uSBZIwiedPyB8hR_kM-i7EMBuU26xn6y5UktV1fM4bfFNAENVkgZDZEGKPeLOh044Uzc9dp_6fKKFoGQZHT7qo9IOaxGacMysJD8EvZVnncfxH5MFY_jSWu4wzku7oig3Ma6-xpLmZX97sjTawYbBQWKe-XqP2B83Q5VAe0kNvqMTj_VRpa6w4ffR9fLxvKFbt4ssSyz-6N4zl99V5i7kDCrmUDquox7r8RsoHAteHkd5GVz6T7-Pp_Wsd7kVqGGV9HKe_37d79it5Q7ffpBFpWduCHQaKrPXrxho-sQWdkBysyu0nzt6sMi3ihWHSGVXZuMfIfRKiLwjQNRprgXrOHZQuXvllZo7azACCUx-b9_iOJ4yM7ieketh6dEkb6c6EjXob7XzHfziFRhXkxx1KUW-92gfl0qGHTeyTAYQDc2I4yJTyUPg6No14xPX6ePH9Hx-QN4Wmz_49-yxse90xtH5scXoz06Mrlt4t8_GUyZ0nUA\"},{\"type\":\"redacted_thinking\",\"data\":\"Q-PaDgHj2EjSstxEVIN9xK7aOR_bq9Uc_8GruuifC2HDo-8r9UhfWCjuBoatFjxh9TQdlRo_CmvFMgqLIAovFVm-szITwIbwpU5ZpcxKpMSDrh1orwPucE6A9a-vNApvv6z6zyuXtNiDtQ-LX-OFkx1V4PcZt61yCY8OXeP42LV2qxj8JOuH4V4pTGYDPZ8Ah2eKh9qqFabppHLNeozqQA8ym7hAYR_oWaixInhyuAqAlQhI1E0UoMk7CFkBCk_yB3BNCuwqC6LJNF4Br7idE_theUroJrHw9OsUw9pPDykOjvLLC5txrhWmTWqumXLLWwwEtgeI5l8Xw4aPrXzVj6OzLF1uzZB6DPiMp6haDNNos5JIgDP1Vc2dtfopbmDubPoHOHjYT2cz5S_EyftIUndGuJ7Z96fEORg9EqaW1ij25npn_oywpDpGpERdUOrMS5ym55bK27WbRlWEJZdWLR3O8CPd_Hspny7kCaToh4TkCZe-GTvlENHOZM1gebXhEAj53BhJ8rodECHDzctU7cJjR34fGyGI8IXqMup4uokO8rqwJcxZeVL0iuyAjekNEYwz6D2P-dhuWxZ7yv7JgyphvJJrXHw9CnFUcvDMWPgpqF1Gjl8kd_PQs4bK6z4Hf4l_eRmdD0lmqbzk0Xjl1080eAnK2SIRbpBZx39N7xS3O3kXtTm9OnaUX9CF3Ok9qfu7F_Biq6FPPHfBP8mgIk2tlBJaB8oEAgociTmMUlDpUNym5S7JQ1Gu19YwU6laGjzSlrjOQ15QpqdIUj3QqH64tfKyTLD1vvAXCJXZAfOpaaOBpini5FyTj6l1IlpQs8oLn9VD-eX6hVmqkh12gchkt-boRaj5VKXuYSxBrr1AEwTkG014SJJPjOMA7gKb2l276EYE1AiP0mvKKfDnyyc5gDQp6FvJ04tgWd1TlPpj3aUZIRMURre8pEkgljqSxxtTeEGQl82lmnov6UcF4yF8Z34iGLPBN9h6Mt3jyIJUeavykcBZSfzgg7g29DZXI2zIQgz4XxNMUoeSs1p5AK7922SbMtq-fWTUG-8ZoF19f_yF9PY0b2Zj6rikMV13cmXE3CfK0Jpencz3Ag0Xs-VuZnEJBcOjcMJx0udEUoHQJZsJhSHJTTdQYzMxT62Em978kikmSJ7oog3HFcyOG6XBzRq_I_9TEo3fbEfVBl1GLP0k8a4P0FZEdfCDNpXKre-iIcHpKVdRz1krfYD8MTWsA9kNT-kmGRu8AxckA3TJaX7IDZRq7C6NEsYXILPsFjvPaOLDvg3Rw1brdUk1oyzZ_5sbzSXmqijCSUH5nFLUbw2odztBHh6jK2IOfmkbEb6JYX9kcuAJ2ULNgkZx7tmVecHmq7RaP6315rr9zuiEaG4buQCPyHHIMBE6SVcPjw8ACq0-GzYcqlaP41k2txuFSxc9f3OUloZiNJSXX3eRZX97XtxU3pfxa9Mx4V9tvAY2wCwQt1-QDzD2x3JJWe0YnkacMpqdt0JdZe6y0o38LkkfhWlrLiJMJBfg_Pk6fTDPDQXEkNyMv2fmuQ8p3o15GJsPTSAs16VIoe1J7PBVb3ITMavid10J0S1j1PEEBNClE89TYaAIPS6x4q5R5-CokaFGkWowRS5hdPN6jkFZoY7ShkF4CsKAQwqVijdRWY-QYB-dncmh8Xi4P2pTXqTktaiXJX31tTnYkZG1RHu4k3Zz_ioPHHqRJ7ofebz7L5N7IE7oyFsROey7qlHNviRfw9UkEuJiNz17EzcK2hx36Il3f63U8ao4Js-Nk8vWmbyNlPxtQDlv4wtWxtaPVrw3IW_38ssClimCe3T1KUKyD_OV3xnW6th335IyLTYVW1KwepSwNjHAMkizDWQ1_psicxFlr83knjbqKU_Vwar70M91C3yADcJpbyvzoOs95eb5hSDKWEdZCDNCIEupm1Uv1u1g9hj0Oum41iTvh9waA_esuaLHMPQLDJJdip8JlzZ1Ls8J3_eqGd0yF34WbASZiAQb7UFdeOWZRoA4XoPwAsbEq0hRykpn0-I_w3RmDnX3zcs1fEsDW9eVwO9GYqowHrmbkp3AEJeWOYK8AVoCO9YR4Rb3XzOq2EY4ZVx3pQ7fec_Ugi8ZBlS2UTSHv70kMnu7KYVn9-a5MDumD49iqnUDupinPcLf_w2cboifKHeSoZwHliv4kQY9IQ3M-C5QMSQNevUMfOKkyJCZ0YoqwXBAPATpb_pZytrT-ivZ_dPvUUVfQc4SJySPy9fN_rT1zLHKvRfWbWH9yF1r95XzKGNx8OyJjaCG1Pg_Jz3e4qvD4d2up-GiLxGWxS77rKh7Mc6SirEsk7TcV095c9N2arx-d3GMQLgPb_LsSoq6Zh_rmFl23Kr0pBVQvV1_c1uwgMQoRYrNMf2q1EN_P0I4IP2Z2dfDkyl0lG4dQ444FYHESHDUpLoXRPFmdJmuP9VBZzV3NZEqIetf6GNmCTpjqhHPQxPBZt5vt4QNd1796hQmPjoR7v6BM_jSJJecY40qpySVDzTWE4x4TWX5-m87dA9yVNu0CBWQt3lA2DvrdCA3WNNjyK3Xtr51sGvtIqwZ8Iktav0fqVsqbEilFh4znWOy9ufw8dT78Yt1UwzSShCjcNDyuJfdcAEEdhCrcO_BvxGQweiNCtqEF9ibkwMul9ARzH_32lL9NBvgQUIxOKx41-vtY-NHKIIDx3ONfriqi_4utUT5UO8Gpcg48nDQHHjNSGk0YVGNZBDNhc6KxtDCwjULroghGCX7uqHVuNlS5nJn8wrBwXbPtOY\"},{\"type\":\"redacted_thinking\",\"data\":\"Q-PaDgHHNNGgCzIoq11oDSaur1459yeQbpRFl7xPXRTmf-QZ1uj6P7AtIXIKCAVI96ikCg-8W_VYIO3ZRdShlaUon18QuYBYd_4E_xS5oBFBmf4OvurFxsgKYj0D8J2k_KN_qMHajwJTfXDA6Y-B7iDwQLcGgw2C-iAIrsgkic2lbqywURfqcEr1v-qkylefsGgsPyxb7KpCoWs9eJnIN9PKu6Flgpx6AQRJijgkyaHkUWndpJnJshTtpB7soobx4r5Fmr1ueqZCkp8J2sft32Q5-5-MaiBrLvIM4zHHtoSdprxE1OL00PluIXbs2uTc2UYLfsqI4NTCrj8Oo6Pss7B0_DE7Line truncated
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      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream"
        },
-        "body": "event: message_start\ndata: {\"message\":{\"content\":[],\"id\":\"msg_6a9ef4443a4089ff668249e1\",\"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-PaDgHpLDsjmGmLhgr8geOncAfmXnTQs2U8VT5HiLDyH1dEEiLsn2XEByFp1W4rwaZzhv2MsF-Cb0Mk6CENK_VlCgDTXFa32MuIpXD4ewV5X5WmF0KabeFObi8S5OR7nUbYDFy5hPIWb-zpLmnN-8Xwj2r6ohFdTc3nn2fLzahaTTL6ktHiKVB3KTfzQPnKue6ZXMqjbIWYYOvGg6i71wCEDsSm_1TCuZgtcptiAjiuvQrIU1dHd77SV4H2mewXC7FMNwNXEDLomzoEpE2wI7aAg5tY6TpQPgt3IPpGek3OWk83O1HMJ9v5aHhAv8Ccc8FglvLLpNuY9E2p3LvwYrUvFwUNo3EhU24PLFnHZOiKO6fii0mPw1SRjxpsP2uSmM4BTGied-IqAERuPCMAfhj7eAcJ_91Q0V-SsFBoHQkAg3r9jpbCM7DBkSL7xdU9MHzFrcM-iYYFBZwDilS2wzU-8kDtXIgU3eralAyBkLnkIx4hhE6WBfFWwM2w5714yKLhgOdJqv3GPoWEc8aUQG_32tglcah_LErY5RNpoiSZI9dcpRErIVnt0Nx_e6aE0ZR1xSFCUoFBnnTee0ZDr4ssUXsmE6CzdvKLUIvToIWjnibY8Ps5roTsPKaJgpUFIbBsvznHa6YEU8XwSxkaFPJ7CEPXkaY10MYXinUCaFdEvvpd0psNUhMAQD6RgCELLaSa113lrwT3_jTen-0f9Dfrr7x90DS_MdYBIk-Dr_l4_ZQzuvNryEjBE2SWnepUUQgDvWZfIjvpO9vTJ-piL7t7oE17fqaCKA3fKmUDcc1ZE2AcTYIKQ5nmXftKQ-41oCHUhgiJ-mX_KLkmNiz63hOtIFEKuZB9R3dPmsseHItH501_NlMEGXnBHzNL31sk0lggm7lYhlqKtxUvW0rhWQjqeuVBkvyWWQzlD6NmuVa91whRNHqYrPGIvkwFAouGRG9jomYoVSf2uRgh2yzU8JDcVDpYOK9WEGMulRPpQhu2tyPej6nGzQYC4Ybl-cfSpmqerAN7ChrShph5nfP7b2uC3SuFiwkBIhOAUZepV4yvyEpBePckccQMqo_2X4LOtpxER-cCm40TqunMiDXGZtEiC7TXYmrXKeOjjn7HVftRQMlobi8-ntwR6gTIkGIbGhcAXthU7r5BvpMjte4YcrUIvlOuEJiUVtdSMhpOEnUM5x-bO_TN7d03sQ5_Kv9uIziN0HcB7A1ER_vd5-ZryiirVBlS5CXHQfNw19zXragYE4Z47hjyXYW5aPJx9dZP0vB9iOWksIU9C9hm-Q5MLvIG5QV30XyDkcGUHZ6_UcnVXWxe92fYfMpjzPnH72lTZXDy8gvEQVRPPTBWWOg6_DZVjqApXEU6JpJUfyMKaab0asmyEfFpsgNPF2dcDv9HHx4ynWp0ryuCIwVXhaDbWYzviUgQ2yboVbWYaLkr_32uJaSSC5fAo5bivIqCdhM6TyPN5OBNgEReO2u81OHPia3qj2zHrgdrfpk34ayS2BpvPeU4TzY5BO_hoAba4Jccm7CIEYdocUPgqzqHHwn2j3_VeifwJaTuIGfiRlGRLVoXB27Q4qeYiFk2BcgmO98LlgtFu3WmFjIfqu3bx2SnI_5tnk4oylhfO2toXFJOfp5OCyNhWOaPqhgPjxHG5nW9L1qE_2x4EwHfz9W99JOxLX1TRPoxBsr76wkRN_TABGqb0D8AxTdmdA6nwg9d5u9vBzJcPQPlFeec-2mvt_19iNa74giL6csYqbGhlIjbYMiq71jqsbPBDp49n3dXx6t1mA0nMRxHk-0Ol30vDneQq0rdtWYYPWmLRLSgyC2P0OgCStOw2HxKs7HZYKTmmt45G5VNWBM9odmDC5UgYLCBmzEOUg2OvQzqZvnNQpRzQL3d9VGWS2fZkC7D-XkmtDzHg3Ur-6u3h3iHEqjV9Um3W_y9v21gn7gWlTowbNO5w3jzYcsoP3uLMO34EH_ckkr3ctaTwhAsv8Xzy1KEnOo4Mf26ueNLp_UkRKgIYcs5815rvZv8FZRNK_5vK7lpvOo8Eszj76b4hI761mj2Pwe6o8rYLobg8SkOHOtvrcY4gO_tMAj9MfM2E0UOHwRNfRORfuoYgp91EPe1B6VLpr1GREn5b20YvtvZXsgzPuRVy5H7gjZFGlAbCRFkPOmYtuJQEOWfmYD41QbeCfQUmbjDJkJ6OBSgmHpeD-QRsqY6WpgSZgPE2RdmdEZWEeWrP4fOXNRe5k9fI9IVu1SIjiMeqT0aoU8NqY3y74K2PZfm35W0KMGN9CKOxlGcok7sLpaARUfOnEq0N7dXDXBJtQFEBfoH6OU2LtXcxD03l6T_hkS_okCYJ_RrvNpw7gOMwszEDcPlJoXUx5LGiNyofsSb-fRUmfGbk35qtpUe_TgOpNtyG8pnnPGIOh7OOsetmahRP6jLV67gXIS1xTuorue-LjZRZqq-7af69WqxJokgnKqBv-6R0mFOjOAYgZbTM-Zw7vizGAYeZajDwLvmDdL4-WT6mr7ekr1Bi5womx___SIGJeIUZCkS6JyuK4XKouydadWRRp4nfG8VC2BmJkX0y7y_R9yHAcIKdVEN3f5ct6j1GxJu6C0KKxItTv4CF7VxOjhbiTtsT4SzB1REfo1AVKlViCnTWAGyCtbbpNpMGkKqVP9jlY9_jYUvc4SZnNmL3KYbYws3dzyksHonT0OoP4a-o1_wVpDgnDkmQfY6r5mA72pPH-Qj6TsagZtrcpQvtUv00FbMDX8-ktr0Fss5VftktYaFbm76Qmg_udgzCHR14qhXpsi2xTbbYB8pJgF2yQ6ch7QF5f45t2Ku8w-mGW8KJL40I2jr9jVrY8a2B8wI4W8z_sWRZjkhqm4eYabbshLVMDQ9jvwvXJXgBIIxrXiAlpR7xJS4PPfv-LYc0DI5EMeIe8rnpkKFbp8B2e8rP07nHvGR4YTW-9lf_o46Dp6FhDUskhn3qtO_v5qlF-nWkI38vnXAYSRkwwmH6h7tEv3y6ffX4QRpjUMyxx7yFDvs4Fhv7R_owzlhJs4Sr2OaHfdZRJwndXmw1TzfidfdZphJLVfMff0FH-QGOtDJb2366JhLzbRU3GGkbBJdNzR4p-NpyrBcy6Pll2mmcYYcUAlY6LLAvsaeCUFGZsT8hagbyK90ofTrBu5WF6srl1vlXKno19dwXtseloaVbDlNxcD797fC4P-hh13FyBxkz7qSE-OuLDeWSdB3GJxYuB4vKMLa4Nd7RfjwEBg-5FaxnNYR07yH6b6mB4adA0qZjIFqsuZVmz2An9-B-PrISdhL4lYijqMih5T8qYpVLXttpaLENSHk1TjDhpON5Cv2yzpI9hs_9XGWtmg7e32z4QUBlduMeIM1PQrvjQWbYjEa8gKtEXDZ5RTZtH5gYgwsw3oq_mwQm70zJ8O2GWhvnPun23sR6jY-bG3DNnhvGr35ribZ81nfHV01ci_agvfBVHn9xa5pyDsJs9ml2LuoGwX3Hhmn04GeBK6At9XxlUAiFXvltuzHJr9M71WxeLNZAemzi7zYUYLNfkhPTBo9oi6LLbL8J9j-GEm6XCSohcIXxuQqZHtB_VFnpRnfAUHRxcCCxE9JyMLXHUIFoVNA-QemITVF5r79PN3aNu6FcPxv6WZpGz1atBpIx9PNZZBaxP_w6cU8Yg4sYOfVDDiXukqNCyIJnQupPhO2jMePsQ4Z-p6Do1kwED3X2QoffKyZPI3iAPJS6DzmGSQPil6_YwzCu-LvfE-3_zo_LKGzjz4ZJ1f3rtVcMFKmij4E8l9tHdOTdrYEt29J6ufKO0Snm_mItvwPg59h1GDEKxqlgBLGuC63lYJdrP9AuWR6sHTyVLM5ObT5Ydas8ACq8inrDSnjA3q9gdOEZAMcRhFw7pucYUy3KwDdL7mury4ovd4tZQe9wbM3R1U4iWJR-W1e325d7eM-96b5hCDUq669ZfgNcF05HLkxb4sXKuGBseBcl1cMBeqHULOVCmdGEwHJzstyG3zyEZcONL-DPrnOD5itoDdGoYBYr1ZnNfJzpBBygaMCNZi7pOQvgOwlm337iZrtAbpO1BJlVKj3dSdGtw0J6W7yUamttZI4wCCZrdlTYHSxc5hH9loU-4UzqC2hqtNa3V32AtQmGrh5nGydCnPE9jhq5Gx5E8iE9blLjJPR3nK_nmImaby_C82y3VR9q09AiXb1yFaGG-lMjNuhaYQah-jivMqp4j0mH7NLILbusbLn5vV1_0hur4SaX6I3ZOugc3mTtXGhEph6QIREc3t90IyQKMgaaxalBnL2D0jXzzc-25ul_sz3SzUTLHV_jWtoq5PJzMSk-VYmz2aGHbsTcl7PZxSZkLHrH0owiVAQlFVMKzqfm0RBTiwbrrMP2BKqSBoQQmbhwLDvo43VoXt_TS5Ti8SP2yDqAnB1m_p3XgxvGneXNz5clzjA3JpdNzY-d-CqFXAQEeiPs3sPf01ebVVpQU147jzvcflnSclEqYG3mmeWqtUCWhcw8vVJ-jS2hQuhN1AYjXi8BSN437xSeuhnjxq-Ft3fHC9hyP9-ShaR9_47h016UwfU-YGX2YaOiGsmEJacgDrQEewRYrbtOoLshH81IgdTLine truncated
+        "body": "event: message_start\ndata: {\"message\":{\"content\":[],\"id\":\"msg_6abb4ce4f5c9272847184f0d\",\"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-PaDgHUAaunYGNiSK64X75fSujrLwaLnI5wNulXg9owQUjVWamiUaex1bQEYX8WTtBd4dUIrRAdjSwnYFOhw3tQ65Udxvc1aUtgtSFgxOJqAgIBC4c5MApCZZnxffh6NTZM9wvkKdmSFF67CCfZTrRYzJ3CYnYmAT_LknJnQUksT_Y7Ai68l3nGzX7Prn-EUYNo4vvOVi2MgHgG_sNgnpsSjxIZhuL257Yb2TNb1XqPhAPXLARFG7vEHIQRCfVY4mwA7uztEZOZN33M9m1VQYgBN30M-XFug35suytlY6GkqZ2PK5zwSL4e8pRXqT1p4n2KPQNcwFG2c6tg2mwY4O-tb3JqalLb8R8Hz4fdpe7kXgCSw8EF3BhCQ8BLvejehaRF7UDuP33Ey0CcMOYCV3fcNj-NoVL3ecB48VuirrL1kH1Ggtul0GGYs-ER1dwi3OouWFPmsXVc2BocQ4NHClchX4AC_Tl71EcikSmml5iVEo6bbMgEzeIXLhmfbu57YJnurTfHXZLeBdIT-F_a1KKGdy8TAUwEVO8FLhF0w3WR4-hCFnXubkmbRQb-f_B5fEBP45PUP1tDuB2PqnuO0D4chZObLFirs2wnfLVHPz2C3DQ_Jx339tbjDYpayKz5AxiQk8_9c9i72BdfsQ__af9FsbrWG47NHKBiEHOmnLbMO-65G8NwXWIUjGVTeYxxayQG-q4uAhCB4xVerBO_xKgGTmxGIAsy5ukHjsSAzOX9_nvCz3sAh5U2u0x3kTd3OzTbnO4mit9qeQ_2-wfFO3k4jKOiFpE9iZSZG5SmrUptxMJPN0tQPF_6Nsu2XByxn4yi44rjC0P5C2TnQJF-b2KqesTT2pmu3S8HM2n4uSdsGSVqtWlzjS5vGkfhy0rGexamOtOQJELdkJdSano_fhVjxSeUIJkv4wiHj5Yg0G88AQmRObVa-Jd-ztENQ5psfiQrkt2aY26w2FOQ6spSRNZ3k5Gj0MN4ZEn77L4mqGcVLJxAsa93jxdxA8F5rJ5k5XqLrBn4f44KexSomW0jPcadNkqNCddnNAkOB7eQFP97ABVPGSY4sbUK3XH_H1ZYS67ymuBhQejgDbvMhT4SI5REgxIaTK_Wp3AUQP6HYNcADCiuYXeN64uxRsUeYM3T0cnV0KRbmqYlt9BSU4h_33X_rX2OfCPT7ytp__4sgsOvjG7xmgFmg5rYkV6k0AhHRxzPrLRrLuRXK6LXmFAcvtrejVccwJNKksEQtOepPc9F2clugTvmzhuQeL_OVdjW9Kqcz1o-sj_ToT0TikWIfqPuS0elB_rjRD68JkiTUpYI9d2kkPNDTwls2hdUbRH6S1YP3vDFR0URKKvIK3i00G06CsBicDmuKY7OvFXlpSIWEEVa8e4FP_kFcXuBLBxvCt4C_lrcjKscknNitUxZoE6DpUnD9S3hEBLUqbqRcGjopWccIMYaw2pySmdVycQpgDl2vMpEi5kpYA2PpZMiU9JLpkDAI98TczoaFNmVfBZob7fp0djS-xNwUO61ZHaZBJ_5gvVYKNOmSHCoSE5gP30lx92SiDHRn7RpS0KBBRye6vEIKKZfhJWTl6TSBfgpL0hUZOfu7xoTivt4eeoK6HkOBskln5485XZfT7G5Z52sKifoB9OquhVlFc2GsdNHjB_z7D70N_itdBQP4ozAxRIusJBFVsA7xh7exC4pACEKtbUvsK1nspBQNmXsym2z73nRdOpY_aKhDyRIQ3x4-9UTeQbdIXKhkfeBePQqjPvBImOLha0Fw14WElvWe5NRkRW2qVttXwUO2Pd2zxLGnjRXudN49CLP4DjHtZ50QSkD8zHYRLWk9fb1HzZzo50PzWL606zASezeJkbmeI-8QOmZMT1mGgFu4T-J8Jol-cAatFsi0aMO0-eU1foCzSJrtvfXyTdF3qPNmIKz5uRIKGIK9VHOEH6MViALonEmoSuIxoRwYZBkp9vld5EFxUCSiaLRM-dMnwtboIxbiWehbJXuVG_wRSdpn5ZcBanDGIn6QKaa8B1jqFNdU9jSFBzNLnNlPfVknjaVXH3JTm-RGBP_Y7ACdD8IkEvKI4vbc-rPCmNDbDtZ5_My0oJ_VQeSgOJMubQkzFLskk82CYnAi_9KcPJvPM4L3tLL4OcYOFC1M3Ml22Enle0komWlDHjjkPyy1Ujk3nhzdTlN7VUJOa-yOki6WcUoiOtRHcB9DiYR6cw22x6wpniDlsRqnXCFweWZJd4hnkLzX--oW8Efi91chiLuXFFdEOGe6hD4vMKO3dR3Iv5XgqFf61pROFp2UNS11o0f2F8u4uE9bme7Em7ZFGZyLcmvAj-8_Ql_fag0g44EZCMMrE5JQtkgNvXG7zqCV6Nr6eQnFM1IkXmsCsueW4Xrj9eD6Sih27RtqJRgJZzFWi1PR8tdFsvaC1PDAaS5kVOgzwVMx46-hF2OsIn--jjQ4TWsgwJPX_ippQwxchFn1jxZkUlaPTKXfkqBV1fiF-HRWxSeOsaEVf6y3WWWw5WBnENRa4Th4rlZCaEZfUYo-kcdyabJWt_ZpKjQqvP8jTpg2f5Ca3p1sMgEjNKM-zO-_x-CGsklaU5tUoit3quvz_71jPNEUmMAoLnklSfqBJ4HIqxUF7ftsL1DbO-wf4P_S1iv-PTy25O7GI2HYvIc7H8Rl19VIJQpcP4uJ0cJrj04_2SrKYjsY18Rf1euPJlgd441qPIi1JeTg2whSE7mGDyGDNWDlWRojKUfYjPzTMQt3HJ0yJtU4uLdX7G6V4GAGTiYA2Hgwm4\",\"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\":\"Armstrong\",\"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\":612,\"output_tokens\":188,\"output_tokens_details\":{\"thinking_tokens\":176}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
      }
    }
  ]
@@ -11,7 +11,7 @@
      "reasoning"
    ],
    "name": "minimax-messages/m2-7-streams-default-thinking",
-    "recordedAt": "2026-09-07T16:53:20.721Z"
+    "recordedAt": "2026-09-29T05:27:50.902Z"
  },
  "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.\"}]}],\"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.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"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\":\"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"
+        "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"
      }
    }
  ]
@@ -13,7 +13,7 @@
      "usage"
    ],
    "name": "minimax-messages/m3-continues-a-tool-loop-with-adaptive-thinking",
-    "recordedAt": "2026-09-07T16:53:25.185Z"
+    "recordedAt": "2026-09-29T05:27:53.421Z"
  },
  "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.\"}]}],\"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\"}}"
+        "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\"}}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream; charset=utf-8"
        },
-        "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"
+        "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"
      }
    },
    {
@@ -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 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\"}}"
+        "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\"}}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream; charset=utf-8"
        },
-        "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"
+        "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"
      }
    }
  ]
@@ -11,7 +11,7 @@
      "usage"
    ],
    "name": "minimax-messages/m3-generates-a-named-tool-call-with-default-thinking-off",
-    "recordedAt": "2026-09-07T16:53:24.366Z"
+    "recordedAt": "2026-09-29T05:27:51.660Z"
  },
  "interactions": [
    {
@@ -22,14 +22,14 @@
        "headers": {
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@@ -11,7 +11,7 @@
      "reasoning"
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    "name": "minimax-messages/m3-streams-adaptive-thinking",
-    "recordedAt": "2026-09-07T16:53:16.470Z"
+    "recordedAt": "2026-09-29T05:27:40.509Z"
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@@ -22,14 +22,14 @@
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@@ -11,7 +11,7 @@
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    ],
    "name": "minimax-messages/m3-streams-text-with-thinking-disabled",
-    "recordedAt": "2026-09-07T16:53:16.028Z"
+    "recordedAt": "2026-09-29T05:27:36.888Z"
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@@ -22,14 +22,14 @@
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@@ -2,9 +2,16 @@
  "version": 1,
  "metadata": {
    "model": "kimi-k3",
-    "tags": ["prefix:moonshot-messages", "provider:moonshot", "protocol:messages", "image", "reasoning", "usage"],
+    "tags": [
+      "prefix:moonshot-messages",
+      "provider:moonshot",
+      "protocol:messages",
+      "image",
+      "reasoning",
+      "usage"
+    ],
    "name": "moonshot-messages/k3-reads-image-bytes",
-    "recordedAt": "2026-09-07T20:38:03.858Z"
+    "recordedAt": "2026-09-29T05:28:42.807Z"
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@@ -15,14 +22,14 @@
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      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream"
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@@ -2,9 +2,15 @@
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@@ -15,14 +21,14 @@
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@@ -2,9 +2,16 @@
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@@ -15,14 +22,14 @@
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@@ -2,9 +2,16 @@
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-    "recordedAt": "2026-09-07T20:34:46.192Z"
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@@ -15,14 +22,14 @@
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@@ -2,9 +2,16 @@
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@@ -13,7 +13,7 @@
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-    "recordedAt": "2026-09-07T20:35:38.390Z"
+    "recordedAt": "2026-09-29T05:28:18.839Z"
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-        "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"
-      }
-    }
-  ]
-}
@@ -1,28 +0,0 @@
-{
-  "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"
-      }
-    }
-  ]
-}
@@ -1,28 +0,0 @@
-{
-  "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"
-      }
-    }
-  ]
-}
@@ -0,0 +1,57 @@
+{
+  "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"
+      }
+    }
+  ]
+}
@@ -12,7 +12,7 @@
      "tool-loop"
    ],
    "name": "openrouter-reasoning-tool-loop",
-    "recordedAt": "2026-07-18T18:02:15.859Z"
+    "recordedAt": "2026-09-30T03:26:06.234Z"
  },
  "interactions": [
    {
@@ -23,14 +23,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"anthropic/claude-sonnet-4.6\",\"messages\":[{\"role\":\"system\",\"content\":\"Use the get_weather tool exactly once. After the tool result, reply exactly: Paris is sunny.\"},{\"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},\"strict\":false}}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning\":{\"max_tokens\":1024},\"max_completion_tokens\":1536,\"store\":false,\"usage\":{\"include\":true}}"
+        "body": "{\"model\":\"anthropic/claude-sonnet-4.6\",\"messages\":[{\"role\":\"system\",\"content\":\"Use the get_weather tool exactly once. After the tool result, reply exactly: Paris is sunny.\"},{\"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},\"strict\":false}}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"store\":false,\"max_completion_tokens\":1536,\"usage\":{\"include\":true},\"reasoning\":{\"max_tokens\":1024}}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream"
        },
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@@ -2,9 +2,14 @@
  "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": "2026-07-18T11:28:39.267Z"
+    "recordedAt": "2026-09-30T03:26:02.917Z"
  },
  "interactions": [
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{\"type\":\"response.reasoning_summary_part.done\",\"output_index\":0,\"item_id\":\"rs_7bc4fd07-6624-997e-b8de-0b3aaa3e5931\",\"summary_index\":0,\"part\":{\"type\":\"summary_text\",\"text\":\"I will search for the official OpenRouter Responses API documentation.\"},\"sequence_number\":6}\n\ndata: {\"type\":\"response.output_item.done\",\"output_index\":0,\"item\":{\"id\":\"rs_7bc4fd07-6624-997e-b8de-0b3aaa3e5931\",\"type\":\"reasoning\",\"status\":\"completed\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"I will search for the official OpenRouter Responses API documentation.\"}],\"encrypted_content\":\"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.eyJlbmRwb2ludF9zbHVnIjoieC1haS9ncm9rLTQuMy0yMDI2MDQzMHx4YWkifQ\",\"format\":\"xai-responses-v1\"},\"sequence_number\":9}\n\ndata: {\"type\":\"response.output_item.added\",\"output_index\":1,\"item\":{\"id\":\"ws_7bc4fd07-6624-997e-b8de-0b3aaa3e5931_call-7cfcb560-a663-4788-a631-7274e773df1d-0\",\"type\":\"web_search_call\",\"status\":\"in_progress\",\"action\":{\"type\":\"search\",\"query\":\"\"}},\"sequence_number\":7}\n\ndata: {\"type\":\"response.web_search_call.in_progress\",\"output_index\":1,\"item_id\":\"ws_7bc4fd07-6624-997e-b8de-0b3aaa3e5931_call-7cfcb560-a663-4788-a631-7274e773df1d-0\",\"sequence_number\":8}\n\ndata: {\"type\":\"response.web_search_call.searching\",\"output_index\":1,\"item_id\":\"ws_7bc4fd07-6624-997e-b8de-0b3aaa3e5931_call-7cfcb560-a663-4788-a631-7274e773df1d-0\",\"sequence_number\":10}\n\ndata: {\"type\":\"response.web_search_call.completed\",\"output_index\":1,\"item_id\":\"ws_7bc4fd07-6624-997e-b8de-0b3aaa3e5931_call-7cfcb560-a663Line truncated
+      }
+    }
+  ]
+}
@@ -1,6 +1,6 @@
 import { describe, expect, test } from "bun:test"
 import { isContextOverflow } from "../src/index.js"
-import { classifyProviderFailure } from "../src/provider-error.js"
+import { classifyProviderFailure, providerErrorMessage } from "../src/provider-error.js"

 describe("provider error classification", () => {
  test("classifies provider token limit messages as context overflow", () => {
@@ -355,6 +355,60 @@ 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: {
+        code: 400,
+        message: "API key not valid. Please pass a valid API key.",
+        status: "INVALID_ARGUMENT",
+        details: [
+          {
+            "@type": "type.googleapis.com/google.rpc.ErrorInfo",
+            reason: "API_KEY_INVALID",
+            domain: "googleapis.com",
+          },
+          {
+            "@type": "type.googleapis.com/google.rpc.LocalizedMessage",
+            locale: "en-US",
+            message: "API key not valid. Please pass a valid API key.",
+          },
+        ],
+      },
+    })
+    expect(
+      classifyProviderFailure({ message: "API key not valid. Please pass a valid API key.", status: 400, rawBody })
+        ._tag,
+    ).toBe("Authentication")
+  })
+
  test("classifies overflow signals buried in the raw payload when the summary is vague", () => {
    const reason = classifyProviderFailure({
      message: "Request failed",
@@ -370,3 +424,42 @@ 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])
+  })
+})
@@ -214,7 +214,7 @@ describe("provider package entrypoints", () => {
      })
      expect(selected.provider).toBe(provider.id)
      expect(selected.route.endpoint.baseURL).toBe(provider.baseURL({ accountId: "account" }))
-      expect(selected.route.defaults.headers).toEqual({ "x-application": "opencode" })
+      expect(selected.route.defaults.headers).toMatchObject({ "x-application": "opencode" })
      expect(selected.route.defaults.http?.body).toEqual({ custom: true })
      expect(selected.route.defaults.providerOptions).toEqual({ reasoningEffort: "high" })
    }
@@ -300,7 +300,9 @@ describe("provider package entrypoints", () => {
    })

    expect(String(selected.provider)).toBe("example")
-    expect(selected.route.id).toBe("anthropic-messages")
+    expect(selected.route.id).toBe("anthropic-compatible-messages")
+    expect(selected.route.protocol).toBe("anthropic-messages")
+    expect(selected.route.providerMetadataKey).toBe("example")
    expect(selected.route.endpoint).toMatchObject({
      baseURL: "https://messages.example.test/v1",
    })
@@ -319,6 +321,7 @@ describe("provider package entrypoints", () => {
      thinking: { type: "adaptive" },
    })

+    expect(selected.route.id).toBe("anthropic-messages")
    expect(selected.route.defaults.providerOptions).toEqual({ thinking: { type: "adaptive" } })
  })

@@ -0,0 +1,103 @@
+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,
+  )
+})
@@ -0,0 +1,100 @@
+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()
+    }),
+  )
+})
@@ -1301,11 +1301,11 @@ describe("Bedrock Converse route", () => {
          ),
        ),
      )
-      expect(response.events.filter((event) => event.type === "reasoning-delta" && event.text === "").at(-1)).toEqual({
-        type: "reasoning-delta",
+      expect(response.events.filter((event) => event.type === "reasoning-delta")).toEqual([])
+      expect(response.events.find((event) => event.type === "reasoning-start")).toEqual({
+        type: "reasoning-start",
        id: "reasoning-0",
-        text: "",
-        providerMetadata: { bedrock: { redactedData } },
+        providerMetadata: undefined,
      })
      expect(response.events.find((event) => event.type === "reasoning-end")).toEqual({
        type: "reasoning-end",
@@ -1383,6 +1383,13 @@ 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" } } },
      ])
@@ -39,9 +39,16 @@ describe("Cloudflare", () => {
      )

      expect(responses.route).toBe("cloudflare-ai-gateway-responses")
-      expect(responses.body).toMatchObject({ model: "openai/gpt-5.4", stream: true })
+      expect(responses.model.route.endpoint.baseURL).toBe(
+        "https://gateway.ai.cloudflare.com/v1/test-account/test-gateway/openai",
+      )
+      expect(responses.body).toMatchObject({ model: "gpt-5.4", stream: true })
      expect(messages.route).toBe("cloudflare-ai-gateway-messages")
-      expect(messages.body).toMatchObject({ model: "anthropic/claude-haiku-4-5" })
+      expect(messages.model.route.endpoint.baseURL).toBe(
+        "https://gateway.ai.cloudflare.com/v1/test-account/test-gateway/anthropic/v1",
+      )
+      expect(messages.body).toMatchObject({ model: "claude-haiku-4-5" })
+      expect(chat.model.route.endpoint.baseURL).toBe("https://api.cloudflare.com/client/v4/accounts/test-account/ai/v1")
      expect(chat.route).toBe("cloudflare-ai-gateway-chat")
      expect(chat.body).toMatchObject({ model: "xai/grok-4.6", stream: true })
      expect(workers.route).toBe("cloudflare-ai-gateway-chat")
@@ -100,6 +107,54 @@ describe("Cloudflare", () => {
    }),
  )

+  it.effect("posts Claude and OpenAI models to the provider-native gateway endpoints", () =>
+    Effect.gen(function* () {
+      const gateway = CloudflareAIGateway.configure({ accountId: "test-account", apiKey: "test-token", cacheTtl: 300 })
+      const requests: Array<Request> = []
+      const capture = dynamicResponse((input) =>
+        Effect.gen(function* () {
+          requests.push(yield* HttpClientRequest.toWeb(input.request).pipe(Effect.orDie))
+          return input.respond("", { status: 500 })
+        }),
+      )
+      yield* LLM.generate(LLM.request({ model: gateway.model("anthropic/claude-sonnet-4.6"), prompt: "Hi" })).pipe(
+        Effect.provide(capture),
+        Effect.ignore,
+      )
+      yield* LLM.generate(LLM.request({ model: gateway.model("openai/gpt-5-nano"), prompt: "Hi" })).pipe(
+        Effect.provide(capture),
+        Effect.ignore,
+      )
+
+      expect(requests.map((request) => request.url)).toEqual([
+        "https://gateway.ai.cloudflare.com/v1/test-account/default/anthropic/v1/messages",
+        "https://gateway.ai.cloudflare.com/v1/test-account/default/openai/responses",
+      ])
+      requests.forEach((request) => {
+        expect(request.headers.get("cf-aig-authorization")).toBe("Bearer test-token")
+        expect(request.headers.get("authorization")).toBeNull()
+        expect(request.headers.get("x-api-key")).toBeNull()
+        expect(request.headers.get("cf-aig-gateway-id")).toBeNull()
+        expect(request.headers.get("cf-aig-cache-ttl")).toBe("300")
+      })
+    }),
+  )
+
+  it.effect("sends the default gateway ID to the REST API", () =>
+    Effect.gen(function* () {
+      const prepared = yield* compileRequest(
+        LLM.request({
+          model: CloudflareAIGateway.configure({ accountId: "test-account", apiKey: "test-token" }).model(
+            "workers-ai/@cf/meta/llama-3.3-70b-instruct",
+          ),
+          prompt: "Say hello.",
+        }),
+      )
+
+      expect(prepared.model.route.defaults.headers).toMatchObject({ "cf-aig-gateway-id": "default" })
+    }),
+  )
+
  it.effect("preserves reasoning details for AI Gateway continuation", () =>
    Effect.gen(function* () {
      const model = CloudflareAIGateway.configure({
@@ -160,12 +215,13 @@ describe("Cloudflare", () => {
          model: CloudflareAIGateway.configure({
            baseURL: "https://gateway.proxy.test/v1",
            apiKey: "test-token",
-          }).model("xai/grok-4.6"),
+          }).model("anthropic/claude-sonnet-4.6"),
          prompt: "Say hello.",
        }),
      )

      expect(prepared.model.route.endpoint.baseURL).toBe("https://gateway.proxy.test/v1")
+      expect(prepared.body).toMatchObject({ model: "anthropic/claude-sonnet-4.6" })
    }),
  )

@@ -49,6 +49,8 @@ const cloudflareWorkers = CloudflareWorkersAI.configure({
 })
 const cloudflareAIGatewayWorkers = cloudflareAIGateway.model("workers-ai/@cf/meta/llama-3.1-8b-instruct")
 const cloudflareAIGatewayWorkersTools = cloudflareAIGateway.model("workers-ai/@cf/openai/gpt-oss-20b")
+const cloudflareAIGatewayClaude = cloudflareAIGateway.model("anthropic/claude-haiku-4.5")
+const cloudflareAIGatewayOpenAI = cloudflareAIGateway.model("openai/gpt-5-nano")
 const cloudflareWorkersAI = cloudflareWorkers.model("@cf/meta/llama-3.1-8b-instruct")
 const cloudflareWorkersAITools = cloudflareWorkers.model("@cf/openai/gpt-oss-20b")
 const deepseek = DeepSeek.configure({ apiKey: process.env.DEEPSEEK_API_KEY ?? "fixture" }).model("deepseek-chat")
@@ -76,7 +78,7 @@ const openrouterOpus = OpenRouter.configure({
 const redactCloudflareURL = (url: string) =>
  url
    .replace(/\/client\/v4\/accounts\/[^/]+\/ai\/v1\//, "/client/v4/accounts/{account}/ai/v1/")
-    .replace(/\/v1\/[^/]+\/[^/]+\/compat\//, "/v1/{account}/{gateway}/compat/")
+    .replace(/\/v1\/[^/]+\/[^/]+\/(anthropic|openai)\//, "/v1/{account}/{gateway}/$1/")

 const cloudflareOptions = {
  redact: { url: redactCloudflareURL },
@@ -177,6 +179,25 @@ describeRecordedGoldenScenarios([
    options: cloudflareOptions,
    scenarios: [{ id: "tool-call", maxTokens: 120 }],
  },
+  {
+    name: "Cloudflare AI Gateway Claude Haiku 4.5",
+    prefix: "cloudflare-ai-gateway",
+    model: cloudflareAIGatewayClaude,
+    requires: ["CLOUDFLARE_ACCOUNT_ID", "CLOUDFLARE_API_TOKEN"],
+    options: { redact: { url: redactCloudflareURL, allowRequestHeaders: ["anthropic-version"] } },
+    scenarios: ["text", "tool-loop"],
+  },
+  {
+    name: "Cloudflare AI Gateway OpenAI GPT-5 Nano",
+    prefix: "cloudflare-ai-gateway",
+    model: cloudflareAIGatewayOpenAI,
+    requires: ["CLOUDFLARE_ACCOUNT_ID", "CLOUDFLARE_API_TOKEN"],
+    options: cloudflareOptions,
+    scenarios: [
+      { id: "text", temperature: false, maxTokens: 2000 },
+      { id: "tool-loop", temperature: false, maxTokens: 2000, timeout: 30_000 },
+    ],
+  },
  {
    name: "Cloudflare Workers AI Llama 3.1 8B",
    prefix: "cloudflare-workers-ai",
@@ -242,14 +263,14 @@ describeRecordedGoldenScenarios([
  },
  {
    name: "OpenRouter gpt-4o-mini",
-    prefix: "openai-compatible-chat",
+    prefix: "openrouter-responses",
    model: openrouter,
    requires: ["OPENROUTER_API_KEY"],
    scenarios: ["text", "tool-call", "tool-loop"],
  },
  {
    name: "OpenRouter gpt-5.5",
-    prefix: "openai-compatible-chat",
+    prefix: "openrouter-responses",
    model: openrouterGpt55,
    requires: ["OPENROUTER_API_KEY"],
    tags: ["flagship"],
@@ -257,10 +278,20 @@ describeRecordedGoldenScenarios([
  },
  {
    name: "OpenRouter Claude Opus 4.7",
-    prefix: "openai-compatible-chat",
+    prefix: "openrouter-messages",
    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"],
+  },
 ])
@@ -33,7 +33,12 @@ 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" } },
+        {
+          name: "lookup",
+          description: "Lookup",
+          input_schema: { type: "object" },
+          cache_control: { type: "ephemeral" },
+        },
      ],
    })
    const entrypoint = yield* Effect.promise(() => import("@opencode/ai/providers/meta/messages"))
@@ -303,7 +303,8 @@ describe("Mistral Chat", () => {
          fixedResponse(
            sseEvents(
              chunk({ content: [{ type: "thinking", thinking: [], marker: "empty" }] }),
-              chunk({ content: [{ type: "thinking", thinking: [{ type: "text", text: "Consider" }] }] }),
+              chunk({ content: [{ type: "thinking", thinking: [{ type: "text", text: "Con" }] }] }),
+              chunk({ content: [{ type: "thinking", thinking: [{ type: "text", text: "sider" }], closed: true }] }),
              chunk({ content: [{ type: "text", text: "Answer" }] }),
              chunk({}, "stop"),
            ),
@@ -313,6 +314,11 @@ 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",
@@ -321,8 +327,12 @@ describe("Mistral Chat", () => {
            mistral: {
              thinking: {
                type: "thinking",
-                thinking: [{ type: "text", text: "Consider" }],
+                thinking: [
+                  { type: "text", text: "Con" },
+                  { type: "text", text: "sider" },
+                ],
                marker: "empty",
+                closed: true,
              },
            },
          },
@@ -337,8 +347,12 @@ describe("Mistral Chat", () => {
          content: [
            {
              type: "thinking",
-              thinking: [{ type: "text", text: "Consider" }],
+              thinking: [
+                { type: "text", text: "Con" },
+                { type: "text", text: "sider" },
+              ],
              marker: "empty",
+              closed: true,
            },
            { type: "text", text: "Answer" },
          ],
@@ -357,6 +371,8 @@ 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",
@@ -16,7 +16,7 @@ const cases = [
      OpenRouter.configure({
        apiKey: process.env.OPENROUTER_API_KEY ?? "fixture",
        providerOptions: { reasoning: { max_tokens: 1024 } },
-      }).model("anthropic/claude-sonnet-4.6"),
+      }).chat("anthropic/claude-sonnet-4.6"),
      { compatibility: { reasoningField: "reasoning" } },
    ),
    requires: ["OPENROUTER_API_KEY"],
@@ -89,7 +89,14 @@ 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: response.text, reasoning: response.reasoning },
+            {
+              role: "assistant",
+              content:
+                item.model.route.id === "openrouter"
+                  ? [{ type: "text", text: response.text, cache_control: { type: "ephemeral" } }]
+                  : response.text,
+              reasoning: response.reasoning,
+            },
          ])
          const replayDetails =
            replay.body.messages[0]?.role === "assistant" ? replay.body.messages[0].reasoning_details : undefined
@@ -4996,6 +4996,42 @@ 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(
@@ -0,0 +1,83 @@
+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,
+)
@@ -3,31 +3,319 @@ 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 * as OpenRouter from "../../src/providers/openrouter.js"
+import { 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("prepares OpenRouter models through the OpenAI-compatible Chat route", () =>
+  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", () =>
    Effect.gen(function* () {
-      const model = OpenRouter.configure({ apiKey: "test-key" }).model("openai/gpt-4o-mini")
+      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")
+    }),
+  )

-      expect(model).toMatchObject({
-        id: "openai/gpt-4o-mini",
-        provider: "openrouter",
-        route: { id: "openrouter" },
+  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.route.endpoint.baseURL).toBe("https://openrouter.ai/api/v1")
+      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 }),
+      )

-      const prepared = yield* compileRequest(LLM.request({ model, prompt: "Say hello." }))
+      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" }],
+      })
+    }),
+  )

-      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 },
+  it.effect("inherits OpenAI effort support and applies the gateway's truncation restriction", () =>
+    Effect.forEach(
+      [
+        { id: "~openai/gpt-6.1-sol", supported: true },
+        { id: "x-ai/grok-4.3", supported: false },
+        { id: "meta/muse-spark-1.3", supported: false },
+        { id: "openai/gpt-6-luna", supported: false, providerOptions: { reasoning: { mode: "pro" } } },
+        { id: "openai/gpt-6-luna", supported: false, http: { body: { reasoning: { mode: "pro" } } } },
+        { id: "openai/gpt-6-luna", supported: false, providerOptions: { contextManagement: [{ type: "compaction" }] } },
+        { id: "openai/gpt-6-luna", supported: false, providerOptions: { truncation: "auto" } },
+        { id: "openai/gpt-6-luna", supported: false, http: { body: { truncation: "auto" } } },
+      ],
+      (input) =>
+        Effect.gen(function* () {
+          const prepared = yield* compileRequest(
+            LLM.request({
+              model: OpenRouter.configure({
+                apiKey: "test-key",
+                providerOptions: { reasoning: { effort: "low" } },
+              }).responses(input.id),
+              messages: [
+                Message.user("Before"),
+                Message.effort({ previous: "high", effort: "low" }),
+                Message.user("After"),
+              ],
+              providerOptions: input.providerOptions,
+              http: input.http,
+            }),
+          )
+
+          expect(
+            prepared.body.input.filter((item) => "type" in item && item.type === "configuration_update"),
+          ).toHaveLength(input.supported ? 1 : 0)
+          expect(prepared.body.reasoning?.effort).toBe(input.supported ? "high" : "low")
+        }),
+    ),
+  )
+
+  it.effect("does not restore the current effort over a model-default history baseline", () =>
+    Effect.gen(function* () {
+      const prepared = yield* compileRequest(
+        LLM.request({
+          model: OpenRouter.configure({
+            apiKey: "test-key",
+            providerOptions: { reasoning: { effort: "low", exclude: true } },
+          }).responses("openai/gpt-6-luna"),
+          messages: [Message.user("Before"), Message.effort({ effort: "low" }), Message.user("After")],
+        }),
+      )
+
+      expect(prepared.body.reasoning?.effort).toBeUndefined()
+      expect(prepared.body.reasoning?.exclude).toBe(true)
+      expect(prepared.body.input).toContainEqual({ type: "configuration_update", reasoning: { effort: "low" } })
+    }),
+  )
+
+  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" },
+                    { type: "reasoning.encrypted", data: "redacted" },
+                  ],
+                },
+              },
+            }),
+          ],
+        }),
+      )
+      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" },
+        { type: "redacted_thinking", data: "redacted" },
+      ])
+      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")
      })
    }),
  )
@@ -49,14 +337,11 @@ 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" } }],
@@ -70,10 +355,12 @@ describe("OpenRouter", () => {
    Effect.gen(function* () {
      const prepared = yield* compileRequest(
        LLM.request({
-          model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
+          model: OpenRouter.configure({ apiKey: "test-key" }).chat("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: {} },
@@ -90,8 +377,17 @@ describe("OpenRouter", () => {

      expect(prepared.body.messages).toMatchObject([
        { role: "user", content: "Call the tool" },
-        { role: "assistant", content: "Calling", cache_control: { type: "ephemeral" } },
-        { role: "tool", content: '"Done"', cache_control: { type: "ephemeral", ttl: "1h" } },
+        { 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" } }],
+        },
      ])
    }),
  )
@@ -108,21 +404,15 @@ describe("OpenRouter", () => {
        }),
      )

-      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)
+      expect(prepared.body.system?.filter((part) => part.cache_control !== undefined)).toHaveLength(4)
    }),
  )

-  it.effect("preserves cache policy hints on reasoning-only assistant messages", () =>
+  it.effect("does not emit text cache markers on reasoning-only assistant messages", () =>
    Effect.gen(function* () {
      const prepared = yield* compileRequest(
        LLM.request({
-          model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
+          model: OpenRouter.configure({ apiKey: "test-key" }).chat("anthropic/claude-sonnet-4.6"),
          cache: { messages: "latest-assistant" },
          messages: [Message.user("Think"), Message.assistant([{ type: "reasoning", text: "Reasoning" }])],
        }),
@@ -130,8 +420,38 @@ describe("OpenRouter", () => {

      expect(prepared.body.messages).toMatchObject([
        { role: "user", content: "Think" },
-        { role: "assistant", cache_control: { type: "ephemeral" } },
+        { role: "assistant", content: "" },
      ])
+      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" },
+          },
+        ],
+      })
    }),
  )

@@ -142,7 +462,7 @@ describe("OpenRouter", () => {
          model: OpenRouter.configure({
            apiKey: "test-key",
            providerOptions: { usage: false },
-          }).model("openai/gpt-4o-mini"),
+          }).chat("openai/gpt-4o-mini"),
          cache: "none",
          prompt: "Hello",
        }),
@@ -190,7 +510,7 @@ describe("OpenRouter", () => {
              user: "user_123",
              future_option: { enabled: true },
            },
-          }).model("anthropic/claude-3.7-sonnet:thinking"),
+          }).chat("anthropic/claude-3.7-sonnet:thinking"),
          prompt: "Think briefly.",
          promptCacheKey: "session_123",
        }),
@@ -265,7 +585,7 @@ describe("OpenRouter", () => {

  it.effect("preserves the upstream provider finish reason", () =>
    Effect.gen(function* () {
-      const model = OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6")
+      const model = OpenRouter.configure({ apiKey: "test-key" }).chat("anthropic/claude-sonnet-4.6")
      const response = yield* LLMClient.generate(LLM.request({ model, prompt: "Say hello." })).pipe(
        Effect.provide(
          fixedResponse(
@@ -282,7 +602,7 @@ describe("OpenRouter", () => {

  it.effect("fails on a mid-stream provider error", () =>
    Effect.gen(function* () {
-      const model = OpenRouter.configure({ apiKey: "test-key" }).model("openai/gpt-4o-mini")
+      const model = OpenRouter.configure({ apiKey: "test-key" }).chat("openai/gpt-4o-mini")
      const error = yield* LLMClient.generate(LLM.request({ model, prompt: "Say hello." })).pipe(
        Effect.provide(
          fixedResponse(
@@ -309,7 +629,7 @@ describe("OpenRouter", () => {
      ]
      const prepared = yield* compileRequest(
        LLM.request({
-          model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
+          model: OpenRouter.configure({ apiKey: "test-key" }).chat("anthropic/claude-sonnet-4.6"),
          cache: "none",
          messages: [
            Message.assistant([
@@ -344,7 +664,7 @@ describe("OpenRouter", () => {
      ]
      const prepared = yield* compileRequest(
        LLM.request({
-          model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
+          model: OpenRouter.configure({ apiKey: "test-key" }).chat("anthropic/claude-sonnet-4.6"),
          cache: "none",
          messages: [
            Message.assistant({
@@ -385,7 +705,7 @@ describe("OpenRouter", () => {
      ]
      const prepared = yield* compileRequest(
        LLM.request({
-          model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
+          model: OpenRouter.configure({ apiKey: "test-key" }).chat("anthropic/claude-sonnet-4.6"),
          cache: "none",
          messages: [
            Message.assistant({
@@ -414,7 +734,7 @@ describe("OpenRouter", () => {
    Effect.gen(function* () {
      const prepared = yield* compileRequest(
        LLM.request({
-          model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
+          model: OpenRouter.configure({ apiKey: "test-key" }).chat("anthropic/claude-sonnet-4.6"),
          cache: "none",
          messages: [Message.assistant({ type: "reasoning", text: "Thinking" })],
        }),
@@ -56,7 +56,9 @@ describe("xAI Responses route", () => {
      expect(XAIResponses.protocol.body).not.toBe(OpenAIResponses.protocol.body)

      const prepared = yield* compileRequest(LLM.request({ model, prompt: "Hello" }))
+      expect(prepared.route).toBe("xai-responses")
      expect(prepared.protocol).toBe("xai-responses")
+      expect(prepared.model.route.providerMetadataKey).toBe("xai")
      expect(prepared.body.store).toBe(false)
      expect(prepared.body.include).toEqual(["reasoning.encrypted_content"])
    }),
@@ -298,3 +300,14 @@ describe("xAI Responses route", () => {
    }),
  )
 })
+
+it.effect("names the xAI Chat route separately from its OpenAI Chat protocol", () =>
+  Effect.gen(function* () {
+    const prepared = yield* compileRequest(
+      LLM.request({ model: XAI.configure({ apiKey: "test" }).chat("grok-4.6"), prompt: "Hello" }),
+    )
+    expect(prepared.route).toBe("xai-chat")
+    expect(prepared.protocol).toBe("openai-chat")
+    expect(prepared.model.route.providerMetadataKey).toBe("xai")
+  }),
+)
@@ -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 { BrowserPaneLayout, BrowserPaneRegistration } from "../src/runtime/platform/browser-pane"
+import type { BrowserPaneEvent, BrowserPaneLayout, BrowserPaneRegistration } from "../src/runtime/platform/browser-pane"
 import type { createSessionBrowser } from "../src/session/browser/model"
-import { SessionBrowserPane } from "../src/session/browser/pane"
+import { SessionBrowserPane, type SessionBrowserComment } from "../src/session/browser/pane"

 export function mountBrowserPane() {
  const host = document.createElement("main")
@@ -30,9 +30,15 @@ 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,
@@ -60,6 +66,12 @@ 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,
        },
      ]),
@@ -97,7 +109,26 @@ 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>
@@ -137,13 +168,30 @@ 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} />
+            <SessionBrowserPane
+              browser={browser}
+              visible={store.visible}
+              onComment={(comment) => setStore("comments", (items) => [...items, comment])}
+            />
          </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}>
@@ -79,6 +79,81 @@ 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()
@@ -186,11 +186,17 @@ for (const scenario of scenarios) {
                const toolTitle = element
                  .closest('[data-component="edit-tool"]')
                  ?.querySelector('[data-slot="collapsible-trigger"][data-locked]')
-                const top = viewport.getBoundingClientRect().top + (title?.getBoundingClientRect().height ?? 0)
+                // 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 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),
@@ -198,7 +204,7 @@ for (const scenario of scenarios) {
                }
              }),
            )
-            .toEqual({ gap: 0, titleGap: 0, clickable: true })
+            .toEqual({ gap: 0, groupGap: 0, titleGap: 0, clickable: true })
          await page.screenshot({ path: info.outputPath(`${file}.png`) })
        }

@@ -0,0 +1,43 @@
+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 ${missing}.` })
+  await expect(markdown).toHaveAttribute("data-markdown-ready", "")
+  await markdown.getByRole("button", { name: missing }).click()
+  await expect(page.getByText("This session cannot be found")).toBeVisible()
+  await expect(page).toHaveURL(/\/session\/ses_timeline_stability$/)
+})
@@ -1,6 +1,6 @@
 {
  "name": "@opencode/app",
-  "version": "2.0.18",
+  "version": "2.0.20",
  "description": "",
  "type": "module",
  "exports": {
@@ -30,6 +30,10 @@ export type ComposerControls = {
      opened: () => boolean
      open: () => void
    }
+    /** Present in sessions with a desktop browser pane. */
+    browser?: {
+      reveal: (tabID: string, ref?: string) => void
+    }
  }
 }

@@ -0,0 +1,41 @@
+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),
+    })
+  })
+})
@@ -1,12 +1,18 @@
+import { Option, Schema } from "effect"
 import type { FileSelection } from "@/workspaces/files/model"
+import { BrowserComment, durableBrowserElement, type ContextItem } from "./schema"

-export type PromptComment = {
+export type PromptFileComment = {
+  type?: "file"
  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 = {
@@ -30,7 +36,7 @@ function selection(selection: unknown) {
  } satisfies FileSelection
 }

-export function createCommentMetadata(input: PromptComment) {
+export function createCommentMetadata(input: PromptFileComment) {
  return {
    opencodeComment: {
      path: input.path,
@@ -78,6 +84,7 @@ 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 []
@@ -100,6 +107,39 @@ 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
@@ -279,6 +279,39 @@ 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" /> }
@@ -533,8 +533,11 @@ export function ComposerAttachments(props: {
                >
                  <CommentCard
                    comment={comment.comment ?? ""}
-                    path={comment.path}
-                    selection={comment.selection}
+                    target={
+                      comment.type === "browser"
+                        ? { type: "browser", element: comment.element.label }
+                        : { type: "file", path: comment.path, selection: comment.selection }
+                    }
                    active={comment.key === props.activeCommentID}
                    onClick={() => props.onCommentClick?.(comment)}
                  />
Author	SHA1	Message	Date
Aiden Cline	31387e1c7a	refactor(ai): simplify OpenRouter native adapters	2026-09-30 17:04:09 -05:00
Aiden Cline	dda31fb95c	refactor(ai): reuse shared OpenRouter Responses implementation	2026-09-30 17:04:09 -05:00
Aiden Cline	65d92ba909	refactor(ai): share OpenRouter Responses protocol	2026-09-30 17:04:09 -05:00
Aiden Cline	d851666401	feat(ai): route OpenRouter models through native APIs	2026-09-30 17:04:09 -05:00
Aiden Cline	f46fa72a92	fix(core): add namespaced session identity headers (#52368 )	2026-09-30 15:14:20 -05:00
Aiden Cline	14636b9900	fix(core): avoid reinjecting ancestor instructions (#52364 )	2026-09-30 15:01:58 -05:00
Aiden Cline	b020f1018b	fix(ai): route Cloudflare AI Gateway Claude and OpenAI through native passthroughs (#52222 )	2026-09-30 14:01:56 -05:00
Shoubhit Dash	7878744505	test(acp): drive ACP tests through the wire protocol (#52307 )	2026-09-30 22:09:51 +05:30
Aiden Cline	599bdc982e	fix(ai): classify Amazon Nova input token rejections as context overflow (#52131 )	2026-09-30 11:13:34 -05:00
James Long	82bb5ff88a	fix(browser): hide browser tools unless a desktop is attached (#52309 )	2026-09-30 11:42:23 -04:00
Simon Klee	0159356be6	tui: upgrade OpenTUI to 0.5.14 (#52316 )	2026-09-30 15:16:51 +00:00
OpeOginni	9388b94a97	fix(tui): tighten expanded instruction group spacing (#52311 )	2026-09-30 15:08:01 +00:00
James Long	02c3891d9b	feat(core): let form cancellation carry a message (#52137 )	2026-09-30 09:20:26 -04:00
Shoubhit Dash	1844c11104	fix(acp): follow server defaults and refresh the session catalog (#52286 )	2026-09-30 18:36:56 +05:30
opencode-agent[bot]	c0285b457a	chore(core): refresh bundled models.dev snapshot	2026-09-30 12:25:26 +00:00
opencode-agent[bot]andBrendonovich	ffa4c4c730	feat(app): open referenced session IDs from markdown (#52231 ) Co-authored-by: Brendonovich <14191578+Brendonovich@users.noreply.github.com>	2026-09-30 15:39:30 +08:00
Luke Parker	01efd22b2a	feat(desktop): comment on page elements from the in-app browser (#52217 )	2026-09-30 16:52:42 +10:00
opencode-agent[bot]andBrendonovich	dd68d6eb79	fix(app): select new-session project by resolved ID (#52230 ) Co-authored-by: Brendonovich <14191578+Brendonovich@users.noreply.github.com>	2026-09-30 14:34:05 +08:00
Simon Klee	1243d09dbc	tui: update OpenTUI to 0.5.13 (#52233 )	2026-09-30 06:13:28 +00:00
Aiden Cline	a80a00011d	fix(ai): classify Workers AI context window rejections as context overflow (#52128 )	2026-09-29 23:49:03 -05:00
opencode-agent[bot]andBrendonovich	bf97a0443f	fix(app): alert only for open session tabs (#52204 ) Co-authored-by: Brendonovich <14191578+Brendonovich@users.noreply.github.com>	2026-09-30 03:55:01 +00:00
Luke Parker	67b14e9191	feat(session-ui): keep open Used group header sticky (#52210 )	2026-09-30 13:46:40 +10:00
Luke Parker	1b02abcfab	feat(session-ui): group adjacent reads into one row (#52207 )	2026-09-30 12:54:40 +10:00
Aiden Cline	74dbc509d7	fix(ai): place prompt cache breakpoints on OpenRouter Anthropic and Qwen requests (#52110 )	2026-09-29 18:07:49 -05:00
Aiden Cline	760f87fab1	fix(core): pass through Copilot Responses settings (#52182 )	2026-09-29 17:52:53 -05:00
opencode-agent[bot]andrekram1-node	df51166711	fix(ci): run V2 Discord notification after skipped build jobs (#52012 ) Co-authored-by: rekram1-node <rekram1-node@users.noreply.github.com>	2026-09-29 16:22:16 -05:00
opencode	8d8a7bc844	sync release versions for v2.0.20	2026-09-29 21:08:02 +00:00
opencode-agent[bot]	a2fc1968be	fix(stats): match document background to page theme (#52169 )	2026-09-29 15:59:22 -05:00
Aiden Cline	c2a39ac592	fix(core): stop promising a ChatGPT usage reset (#52168 )	2026-09-29 15:50:09 -05:00
Aiden Cline	4deda18037	fix(app): align ChatGPT usage copy and links (#52163 )	2026-09-29 15:18:45 -05:00
Aiden Cline	0f83038253	fix(core): align ChatGPT token sharing with updated partner guide (#52162 )	2026-09-29 15:11:58 -05:00
Dax	4c33a253aa	feat(cli): add auth export and auth import commands (#52139 )	2026-09-29 16:09:01 -04:00
opencode-agent[bot]rekram1-node jlongster	135995d4fc	test: stabilize V2 CI test suites (#52159 ) Co-authored-by: rekram1-node <rekram1-node@users.noreply.github.com> Co-authored-by: jlongster <17031+jlongster@users.noreply.github.com>	2026-09-29 14:54:11 -05:00
Aiden Cline	4d9090790b	feat(core): add separate ChatGPT token-sharing OAuth method (#52147 )	2026-09-29 14:48:51 -05:00
Aiden Cline	621a5b0706	feat(app): show ChatGPT token-sharing guidance (#52160 )	2026-09-29 14:45:59 -05:00
Aiden Cline	16ef62c851	feat(app): show ChatGPT usage limit dialog (#52153 )	2026-09-29 14:38:48 -05:00
Aiden Cline	b694d2bf26	fix(core): explain ChatGPT token-sharing errors (#52158 )	2026-09-29 14:25:01 -05:00
Aiden Cline	89d37a0f6d	fix(core): restrict database files to their owner (#52150 )	2026-09-29 14:18:40 -05:00
James Long	bc5ff1cfd9	fix(cli): answer subagent asks in run and keep parallel rejections continuing (#52146 )	2026-09-29 15:03:06 -04:00
Aiden Cline	c14a1f5acf	feat(core): preserve provider response body in session errors (#52136 )	2026-09-29 13:32:09 -05:00
Frank	7db941a892	docs(console): add GPT 6.1 Sol to model list	2026-09-29 14:28:47 -04:00
James Long	83fafda63a	feat(cli): continue run after rejecting a permission ask (#51968 )	2026-09-29 14:26:20 -04:00
opencode-agent[bot]andjlongster	a565ea8c74	feat(cli): allow disabling the background service (#52107 ) Co-authored-by: jlongster <17031+jlongster@users.noreply.github.com>	2026-09-29 13:32:38 -04:00
Aiden Cline	3126808e0e	fix(ai): defer Mistral thinking metadata until block end (#52008 )	2026-09-29 11:38:06 -05:00
opencode-agent[bot]andthdxr	948047a8ca	fix(tui): use disclosure icon for low activity errors (#52097 ) Co-authored-by: thdxr <826656+thdxr@users.noreply.github.com>	2026-09-29 11:10:32 -04:00
opencode-agent[bot]	0f931d3939	chore(core): refresh bundled models.dev snapshot	2026-09-29 12:22:53 +00:00
Kit Langton	7ef4a1a56e	feat(tui): show recently closed tabs in new session menu	2026-09-29 03:35:31 -07:00
Victor Navarro	b29dab3231	fix(core): drop SSO link from Console sign-in error (#52062 )	2026-09-29 12:04:27 +02:00
Victor Navarro	d76f968c60	feat(core): tell users how to sign back in to OpenCode Console (#51847 )	2026-09-29 10:58:45 +02:00
opencode-agent[bot]andrekram1-node	b30c4d00d1	fix(ai): enable explicit caching on more message protocol routes (#51981 ) Co-authored-by: rekram1-node <rekram1-node@users.noreply.github.com>	2026-09-29 00:50:08 -05:00
Aiden Cline	6712cc4c2c	fix(core): turn off Workers AI thinking through the chat template (#52017 )	2026-09-29 00:45:17 -05:00
Aiden Cline	2aaa265cdc	fix(ai): read provider error messages from common body layouts (#52014 )	2026-09-29 00:19:20 -05:00
Luke Parker	ff72659a47	fix(desktop): give isolated dev service a fixed port (#52013 )	2026-09-29 15:09:50 +10:00
Aiden Cline	14af33d53d	fix(ai): show provider error bodies when no message is recognized (#51978 )	2026-09-29 00:06:52 -05:00
Luke Parker	a604b7f773	fix(ui): calm diff word highlights with @pierre/diffs 1.5.1 (#51236 )	2026-09-29 14:58:24 +10:00
Luke Parker	41d4a9c45c	fix(session-ui): render moved notice as a timeline divider (#52009 )	2026-09-29 14:58:13 +10:00
Luke Parker	293d60a89f	chore(desktop): bump electron to 44.4.5 (#52005 )	2026-09-29 14:50:04 +10:00
Aiden Cline	34a8938dc7	fix(ai): bind Bedrock Claude thinking blocks by default (#51959 )	2026-09-28 23:38:20 -05:00
Aiden Cline	36ef6cc216	fix(ai): finalize Bedrock redacted reasoning at block end (#51999 )	2026-09-28 23:37:51 -05:00
opencode	f02c30eb55	sync release versions for v2.0.19	2026-09-29 04:31:02 +00:00
Aiden Cline	ca084b2430	fix(ai): give provider routes distinct IDs (#51976 )	2026-09-28 19:55:06 -05:00
Aiden Cline	3740ec311b	feat(core): align shell tool environment with agent conventions (#51975 )	2026-09-28 19:53:53 -05:00
opencode-agent[bot]andrekram1-node	35bd8ac442	test(core): update xAI variant expectations for Responses (#51977 ) Co-authored-by: rekram1-node <rekram1-node@users.noreply.github.com>	2026-09-28 19:48:35 -05:00
Aiden Cline	1fc05ca590	fix(core): share affinity in provider session headers (#51931 )	2026-09-28 19:30:24 -05:00
Aiden Cline	bda798b167	fix(core): drop session ID and order instructions for prompt-cache reuse (#51960 )	2026-09-28 19:29:28 -05:00
Aiden Cline	3babae35c0	fix(core): fall back to Cloudflare environment IDs when not configured (#51963 )	2026-09-28 19:28:03 -05:00
Aiden Cline	3ab5c1433c	fix(core): request xAI reasoning summaries on Responses variants (#51964 )	2026-09-28 19:11:48 -05:00
Aiden Cline	49437a25b1	fix(ai): classify invalid Google API keys as authentication errors (#51950 )	2026-09-28 18:49:29 -05:00
Aiden Cline	49403a554f	feat(core): cap requested output tokens at 256k (#51962 )	2026-09-28 18:49:05 -05:00
opencode-agent[bot]andrekram1-node	87d6f93409	test(cli): isolate run exit codes between tests (#51955 ) Co-authored-by: rekram1-node <rekram1-node@users.noreply.github.com>	2026-09-28 19:16:01 -04:00
Frank	97d4eaa2ba	zen: jev privacy policy	2026-09-28 19:01:46 -04:00