refactor(core): share session message row codec

2026-10-25 01:51:43 +08:00 · 2026-09-27 19:10:32 -03:00
270 changed files with 1036 additions and 6339 deletions
@@ -24,10 +24,6 @@ on:
        description: "Override version (optional)"
        required: false
        type: string
-      release_notes:
-        description: "Reviewed V2 release notes for the Discord announcement (optional)"
-        required: false
-        type: string

 concurrency: ${{ github.workflow }}-${{ github.ref }}-${{ (github.ref_name == 'v2' && (inputs.version || inputs.bump) && 'release') || inputs.version || inputs.bump }}

@@ -657,19 +653,3 @@ jobs:
          OPENCODE_DESKTOP_DIST: /tmp/desktop
          CLOUDFLARE_ACCOUNT_ID: 15d29c8639fd3733b1b5486a2acfd968
          CLOUDFLARE_API_TOKEN: ${{ secrets.CLOUDFLARE_API_TOKEN }}
-
-  notify-discord-v2:
-    needs:
-      - version
-      - publish
-    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.
-      - name: Announce V2 release in Discord
-        uses: SethCohen/github-releases-to-discord@24d166886aee4646d448c8a389ff9e1ebcab3682 # v1.20.0
-        with:
-          webhook_url: ${{ secrets.DISCORD_WEBHOOK }}
-          release_name: OpenCode V2 ${{ needs.version.outputs.tag }}
-          release_body: ${{ inputs.release_notes }}
-          release_html_url: https://github.com/${{ github.repository }}/tree/${{ needs.version.outputs.tag }}
@@ -32,7 +32,7 @@
    },
    "packages/ai": {
      "name": "@opencode/ai",
-      "version": "2.0.20",
+      "version": "2.0.18",
      "dependencies": {
        "@aws-sdk/credential-providers": "3.1057.0",
        "@opencode/schema": "workspace:*",
@@ -54,7 +54,7 @@
    },
    "packages/app": {
      "name": "@opencode/app",
-      "version": "2.0.20",
+      "version": "2.0.18",
      "dependencies": {
        "@corvu/drawer": "catalog:",
        "@dnd-kit/abstract": "0.5.0",
@@ -112,7 +112,7 @@
    },
    "packages/cli": {
      "name": "@opencode/cli",
-      "version": "2.0.20",
+      "version": "2.0.18",
      "bin": {
        "opencode": "./bin/opencode.cjs",
        "opencode2": "./bin/opencode2.cjs",
@@ -178,7 +178,7 @@
    },
    "packages/client": {
      "name": "@opencode/client",
-      "version": "2.0.20",
+      "version": "2.0.18",
      "dependencies": {
        "@opencode/protocol": "workspace:*",
        "@opencode/schema": "workspace:*",
@@ -204,7 +204,7 @@
    },
    "packages/codemode": {
      "name": "@opencode/codemode",
-      "version": "2.0.20",
+      "version": "2.0.18",
      "dependencies": {
        "acorn": "8.15.0",
        "effect": "catalog:",
@@ -217,7 +217,7 @@
    },
    "packages/console/app": {
      "name": "@opencode/console-app",
-      "version": "2.0.20",
+      "version": "2.0.18",
      "dependencies": {
        "@cloudflare/vite-plugin": "1.15.2",
        "@ibm/plex": "6.4.1",
@@ -253,7 +253,7 @@
    },
    "packages/console/core": {
      "name": "@opencode/console-core",
-      "version": "2.0.20",
+      "version": "2.0.18",
      "dependencies": {
        "@aws-sdk/client-sts": "3.782.0",
        "@jsx-email/render": "1.1.1",
@@ -280,7 +280,7 @@
    },
    "packages/console/function": {
      "name": "@opencode/console-function",
-      "version": "2.0.20",
+      "version": "2.0.18",
      "dependencies": {
        "@openauthjs/openauth": "0.0.0-20250322224806",
        "@opencode/console-core": "workspace:*",
@@ -297,7 +297,7 @@
    },
    "packages/console/mail": {
      "name": "@opencode/console-mail",
-      "version": "2.0.20",
+      "version": "2.0.18",
      "dependencies": {
        "@jsx-email/all": "2.2.3",
        "@jsx-email/cli": "1.4.3",
@@ -321,7 +321,7 @@
    },
    "packages/console/support": {
      "name": "@opencode/console-support",
-      "version": "2.0.20",
+      "version": "2.0.18",
      "dependencies": {
        "@cloudflare/vite-plugin": "1.15.2",
        "@opencode/console-core": "workspace:*",
@@ -341,7 +341,7 @@
    },
    "packages/core": {
      "name": "@opencode/core",
-      "version": "2.0.20",
+      "version": "2.0.18",
      "dependencies": {
        "@ai-sdk/cohere": "3.0.27",
        "@ai-sdk/gateway": "3.0.104",
@@ -377,7 +377,6 @@
        "https-proxy-agent": "7.0.6",
        "ignore": "7.0.5",
        "immer": "11.1.4",
-        "jose": "6.0.11",
        "jsonc-parser": "3.3.1",
        "mime-types": "3.0.2",
        "tree-sitter-bash": "0.25.0",
@@ -410,7 +409,7 @@
    },
    "packages/desktop": {
      "name": "@opencode/desktop",
-      "version": "2.0.20",
+      "version": "2.0.18",
      "dependencies": {
        "@zip.js/zip.js": "2.7.62",
        "electron-context-menu": "5.0.0",
@@ -440,7 +439,7 @@
        "drizzle-kit": "catalog:",
        "drizzle-orm": "catalog:",
        "effect": "catalog:",
-        "electron": "44.4.5",
+        "electron": "44.4.3",
        "electron-builder": "26.15.7",
        "electron-vite": "6.0.0-beta.1",
        "puppeteer-core": "25.9.0",
@@ -459,7 +458,7 @@
    },
    "packages/enterprise": {
      "name": "@opencode/enterprise",
-      "version": "2.0.20",
+      "version": "2.0.18",
      "dependencies": {
        "@hono/standard-validator": "catalog:",
        "@opencode-ai/sdk": "1.18.21",
@@ -496,7 +495,7 @@
    },
    "packages/function": {
      "name": "@opencode/function",
-      "version": "2.0.20",
+      "version": "2.0.18",
      "dependencies": {
        "@octokit/auth-app": "8.0.1",
        "@octokit/rest": "catalog:",
@@ -512,7 +511,7 @@
    },
    "packages/http-recorder": {
      "name": "@opencode/http-recorder",
-      "version": "2.0.20",
+      "version": "2.0.18",
      "dependencies": {
        "@effect/platform-node-shared": "4.0.0-rc.112",
      },
@@ -531,7 +530,7 @@
    },
    "packages/httpapi-codegen": {
      "name": "@opencode/httpapi-codegen",
-      "version": "2.0.20",
+      "version": "2.0.18",
      "dependencies": {
        "effect": "catalog:",
        "prettier": "3.6.2",
@@ -544,7 +543,7 @@
    },
    "packages/latex": {
      "name": "@opencode/latex",
-      "version": "2.0.20",
+      "version": "2.0.18",
      "dependencies": {
        "@opencode/plugin": "workspace:*",
        "@opentui/core": "catalog:",
@@ -558,7 +557,7 @@
    },
    "packages/merman": {
      "name": "@opencode/merman",
-      "version": "2.0.20",
+      "version": "2.0.18",
      "dependencies": {
        "@opencode/plugin": "workspace:*",
        "@opentui/core": "catalog:",
@@ -573,7 +572,7 @@
    },
    "packages/plugin": {
      "name": "@opencode/plugin",
-      "version": "2.0.20",
+      "version": "2.0.18",
      "dependencies": {
        "@ai-sdk/provider": "3.0.8",
        "@opencode/ai": "workspace:*",
@@ -612,7 +611,7 @@
    },
    "packages/plugin-browser": {
      "name": "@opencode/plugin-browser",
-      "version": "2.0.20",
+      "version": "2.0.18",
      "dependencies": {
        "@opencode/plugin": "workspace:*",
        "@opencode/schema": "workspace:*",
@@ -642,7 +641,7 @@
    },
    "packages/protocol": {
      "name": "@opencode/protocol",
-      "version": "2.0.20",
+      "version": "2.0.18",
      "dependencies": {
        "@opencode/schema": "workspace:*",
        "effect": "catalog:",
@@ -657,7 +656,7 @@
    },
    "packages/schema": {
      "name": "@opencode/schema",
-      "version": "2.0.20",
+      "version": "2.0.18",
      "dependencies": {
        "@standard-schema/spec": "catalog:",
        "effect": "catalog:",
@@ -681,7 +680,7 @@
    },
    "packages/sdk": {
      "name": "@opencode/sdk",
-      "version": "2.0.20",
+      "version": "2.0.18",
      "dependencies": {
        "@opencode/client": "workspace:*",
        "@opencode/core": "workspace:*",
@@ -702,7 +701,7 @@
    },
    "packages/server": {
      "name": "@opencode/server",
-      "version": "2.0.20",
+      "version": "2.0.18",
      "dependencies": {
        "@effect/platform-node": "catalog:",
        "@effect/platform-node-shared": "catalog:",
@@ -724,7 +723,7 @@
    },
    "packages/session-ui": {
      "name": "@opencode/session-ui",
-      "version": "2.0.20",
+      "version": "2.0.18",
      "dependencies": {
        "@kobalte/core": "catalog:",
        "@opencode/client": "workspace:*",
@@ -759,7 +758,7 @@
    },
    "packages/simulation": {
      "name": "@opencode/simulation",
-      "version": "2.0.20",
+      "version": "2.0.18",
      "dependencies": {
        "@opencode/ai": "workspace:*",
        "@opencode/core": "workspace:*",
@@ -779,7 +778,7 @@
    },
    "packages/stats/app": {
      "name": "@opencode/stats-app",
-      "version": "2.0.20",
+      "version": "2.0.18",
      "dependencies": {
        "@ibm/plex": "6.4.1",
        "@kobalte/core": "catalog:",
@@ -813,7 +812,7 @@
    },
    "packages/stats/core": {
      "name": "@opencode/stats-core",
-      "version": "2.0.20",
+      "version": "2.0.18",
      "dependencies": {
        "@aws-sdk/client-athena": "3.933.0",
        "@planetscale/database": "1.19.0",
@@ -832,7 +831,7 @@
    },
    "packages/stats/server": {
      "name": "@opencode/stats-server",
-      "version": "2.0.20",
+      "version": "2.0.18",
      "dependencies": {
        "@aws-sdk/client-firehose": "3.933.0",
        "@effect/platform-node": "catalog:",
@@ -878,7 +877,7 @@
    },
    "packages/theme": {
      "name": "@opencode/theme",
-      "version": "2.0.20",
+      "version": "2.0.18",
      "dependencies": {
        "@opentui/core": "catalog:",
        "effect": "catalog:",
@@ -892,7 +891,7 @@
    },
    "packages/tui": {
      "name": "@opencode/tui",
-      "version": "2.0.20",
+      "version": "2.0.18",
      "dependencies": {
        "@opencode/client": "workspace:*",
        "@opencode/core": "workspace:*",
@@ -926,7 +925,7 @@
    },
    "packages/ui": {
      "name": "@opencode/ui",
-      "version": "2.0.20",
+      "version": "2.0.18",
      "dependencies": {
        "@kobalte/core": "catalog:",
        "@pierre/diffs": "catalog:",
@@ -961,7 +960,7 @@
    },
    "packages/util": {
      "name": "@opencode/util",
-      "version": "2.0.20",
+      "version": "2.0.18",
      "dependencies": {
        "@effect/opentelemetry": "catalog:",
        "@effect/platform-node": "catalog:",
@@ -999,7 +998,7 @@
    },
    "packages/web": {
      "name": "@opencode/web",
-      "version": "2.0.20",
+      "version": "2.0.18",
      "dependencies": {
        "@astrojs/cloudflare": "12.6.3",
        "@astrojs/markdown-remark": "6.3.1",
@@ -1040,7 +1039,7 @@
    },
    "services/update": {
      "name": "@opencode/update",
-      "version": "2.0.20",
+      "version": "2.0.18",
      "dependencies": {
        "jose": "6.0.11",
        "semver": "catalog:",
@@ -1120,7 +1119,7 @@
    "@opentui/core": "0.5.12",
    "@opentui/keymap": "0.5.12",
    "@opentui/solid": "0.5.12",
-    "@pierre/diffs": "1.5.1",
+    "@pierre/diffs": "1.2.10",
    "@playwright/test": "1.59.1",
    "@sentry/solid": "10.71.0",
    "@sentry/vite-plugin": "5.4.0",
@@ -2531,11 +2530,11 @@

    "@peculiar/webcrypto": ["@peculiar/webcrypto@1.7.1", "", { "dependencies": { "@peculiar/asn1-schema": "^2.7.0", "@peculiar/json-schema": "^1.1.12", "@peculiar/utils": "^2.0.2", "tslib": "^2.8.1", "webcrypto-core": "^1.9.2" } }, "sha512-ODOov0sGMJMf3jPonOkgGqPknTsu+DdQ7kD++gz8aI+aFMOMHFbWAA2taqXXVTdP+OTOQR/znGvSpmkeI0WTYQ=="],

-    "@pierre/diffs": ["@pierre/diffs@1.5.1", "", { "dependencies": { "@pierre/theme": "2.0.0", "@pierre/theming": "1.0.1", "@shikijs/transformers": "^3.0.0 || ^4.0.0", "diff": "9.0.0", "hast-util-to-html": "9.0.5", "lru_map": "0.4.1", "shiki": "^3.0.0 || ^4.0.0" }, "peerDependencies": { "react": "^18.3.1 || ^19.0.0", "react-dom": "^18.3.1 || ^19.0.0" }, "optionalPeers": ["react", "react-dom"] }, "sha512-+EXNfz4ZXI6FHr7P6ToWEORwyYiPVfAmzhA70xF+0y/oNvj7gbNTLJJ6jNzkBjuMbRlu564TAmgYZLc5OyHURA=="],
+    "@pierre/diffs": ["@pierre/diffs@1.2.10", "", { "dependencies": { "@pierre/theme": "1.0.3", "@pierre/theming": "0.0.1", "@shikijs/transformers": "^3.0.0 || ^4.0.0", "diff": "8.0.3", "hast-util-to-html": "9.0.5", "lru_map": "0.4.1", "shiki": "^3.0.0 || ^4.0.0" }, "peerDependencies": { "react": "^18.3.1 || ^19.0.0", "react-dom": "^18.3.1 || ^19.0.0" } }, "sha512-rPeAmDWarxFVTQpaf4y6wTxjZxU44xKJKoJti2zU21P06DVd9nRHZX+xSIObLB307Qjpaesyb1x/j0z94t7vLw=="],

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

-    "@pierre/theming": ["@pierre/theming@1.0.1", "", { "peerDependencies": { "@pierre/theme": "^1.1.0 || ^2.0.0", "@shikijs/themes": "^3.0.0 || ^4.0.0", "react": "^18.3.1 || ^19.0.0", "react-dom": "^18.3.1 || ^19.0.0", "shiki": "^3.0.0 || ^4.0.0" }, "optionalPeers": ["@pierre/theme", "@shikijs/themes", "react", "react-dom", "shiki"] }, "sha512-WCI5Qd7iprDpISL9fBYOLe8RV53+b7mFNA3bPzl60/2CKCSrsKN8zEcep6Y3BAzvARlmca50zGjDodqPGiTUKA=="],
+    "@pierre/theming": ["@pierre/theming@0.0.1", "", { "peerDependencies": { "@pierre/theme": "^1.0.0", "@shikijs/themes": "^3.0.0 || ^4.0.0", "react": "^18.3.1 || ^19.0.0", "react-dom": "^18.3.1 || ^19.0.0", "shiki": "^3.0.0 || ^4.0.0" }, "optionalPeers": ["@pierre/theme", "@shikijs/themes", "react", "react-dom", "shiki"] }, "sha512-1thlEtJbqdyLzc1ZS2KQa1q7FzDGHT4dTEdKHoyQjOMeWWOmbVG5/ndEfOKfAb5Fzkz8cNJrOjFLiZoDH/A03A=="],

    "@pierre/trees": ["@pierre/trees@1.0.0-beta.4", "", { "dependencies": { "preact": "11.0.0-beta.0", "preact-render-to-string": "6.6.5" }, "peerDependencies": { "react": "^18.3.1 || ^19.0.0", "react-dom": "^18.3.1 || ^19.0.0" } }, "sha512-OfT1yk9ne8Te5+GB5zUY8yqE6B8BqjBHQJleH4lu8ltwNpoocZl4vXt1AzlEExpxI/pp+AFX5QG+lR3JjtTEag=="],

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

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

-    "electron": ["electron@44.4.5", "", { "dependencies": { "@electron-internal/extract-zip": "^1.0.1", "@electron/get": "^5.0.0", "@types/node": "^24.9.0" }, "bin": { "electron": "cli.js", "install-electron": "install.js" } }, "sha512-SjgoaeYsSWZfJzubgQU7juvuXMTvn6/e1gAHdGFA/yuMbpF+I+skYqIJ6DdXBXHeWbkbpNpmwZCTpiivtlWZSw=="],
+    "electron": ["electron@44.4.3", "", { "dependencies": { "@electron-internal/extract-zip": "^1.0.1", "@electron/get": "^5.0.0", "@types/node": "^24.9.0" }, "bin": { "electron": "cli.js", "install-electron": "install.js" } }, "sha512-LTpSFTB40qVCXIX5xMo+cgHI/Jjkbjw7VpB26PccEbroqOn72LBukeaDwPVo1fBYzSzs0c9iPuAucFCO7Tw81Q=="],

    "electron-builder": ["electron-builder@26.15.7", "", { "dependencies": { "app-builder-lib": "26.15.7", "builder-util": "26.15.3", "builder-util-runtime": "9.7.0", "chalk": "^4.1.2", "ci-info": "^4.2.0", "dmg-builder": "26.15.7", "fs-extra": "^10.1.0", "lazy-val": "^1.0.5", "simple-update-notifier": "2.0.0", "yargs": "^17.6.2" }, "bin": { "electron-builder": "./cli.js", "install-app-deps": "./install-app-deps.js" } }, "sha512-DBpaNzxsPs1BvEblzFoNriSbzsBqDCy/gseIngeEhYzQG1IxfB7Hvc2tBBVmpWE2BTQGP9J1RrAvDT+Vc/uAxg=="],

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

    "@parcel/watcher/detect-libc": ["detect-libc@1.0.3", "", { "bin": { "detect-libc": "./bin/detect-libc.js" } }, "sha512-pGjwhsmsp4kL2RTz08wcOlGN83otlqHeD/Z5T8GXZB+/YcpQ/dgo+lbU8ZsGxV0HIvqqxo9l7mqYwyYMD9bKDg=="],

-    "@pierre/diffs/diff": ["diff@9.0.0", "", {}, "sha512-svtcdpS8CgJyqAjEQIXdb3OjhFVVYjzGAPO8WGCmRbrml64SPw/jJD4GoE98aR7r25A0XcgrK3F02yw9R/vhQw=="],
+    "@pierre/diffs/diff": ["diff@8.0.3", "", {}, "sha512-qejHi7bcSD4hQAZE0tNAawRK1ZtafHDmMTMkrrIGgSLl7hTnQHmKCeB45xAcbfTqK2zowkM3j3bHt/4b/ARbYQ=="],
+
+    "@pierre/diffs/react": ["react@19.2.8", "", {}, "sha512-PWaYA1L/q9u2u7xYQi+Y3L3Yfnie7XyLeaJICV1MGD6LprsBxcAqGjYyr0eY3p+QdsA+x/Irkt4Qif8D63+Sbw=="],
+
+    "@pierre/diffs/react-dom": ["react-dom@19.2.8", "", { "dependencies": { "scheduler": "^0.27.0" }, "peerDependencies": { "react": "^19.2.8" } }, "sha512-rVprimfGBG3DR+Tq0IQG2DT5PxKth1WIGDmj5yPmlzr4YBe7uyE+Du4oVqTDXZSHGGGXRtTJEGSSePyQCMBglQ=="],

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

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

    "@oxc-resolver/binding-wasm32-wasi/@emnapi/core/@emnapi/wasi-threads": ["@emnapi/wasi-threads@1.2.2", "", { "dependencies": { "tslib": "^2.4.0" } }, "sha512-c95qOXkHdydNKhscBTebqEC1CVAZpyqOfVfBzQ1qgzyl3gfeldUjIggDbIZgDKsHLgnsM+igH7TJ/eAasaVuMA=="],

+    "@pierre/diffs/react-dom/scheduler": ["scheduler@0.27.0", "", {}, "sha512-eNv+WrVbKu1f3vbYJT/xtiF5syA5HPIMtf9IgY/nKg0sWqzAUEvqY/xm7OcZc/qafLx/iO9FgOmeSAp4v5ti/Q=="],
+
    "@pierre/trees/react-dom/scheduler": ["scheduler@0.27.0", "", {}, "sha512-eNv+WrVbKu1f3vbYJT/xtiF5syA5HPIMtf9IgY/nKg0sWqzAUEvqY/xm7OcZc/qafLx/iO9FgOmeSAp4v5ti/Q=="],

    "@puppeteer/browsers/yargs/cliui": ["cliui@9.0.1", "", { "dependencies": { "string-width": "^7.2.0", "strip-ansi": "^7.1.0", "wrap-ansi": "^9.0.0" } }, "sha512-k7ndgKhwoQveBL+/1tqGJYNz097I7WOvwbmmU2AR5+magtbjPWQTS1C5vzGkBC8Ym8UWRzfKUzUUqFLypY4Q+w=="],
@@ -2,11 +2,11 @@
  "nodes": {
    "nixpkgs": {
      "locked": {
-        "lastModified": 1790510107,
-        "narHash": "sha256-EVMNYv7hYDDD9TGVT/hIyTYgpiXA8y3m5xIEIxuGNU0=",
+        "lastModified": 1776683584,
+        "narHash": "sha256-NuTLMrr10Tng72hurYG8jYQ4XKK8wnpJmOGcPiis96g=",
        "owner": "NixOS",
        "repo": "nixpkgs",
-        "rev": "3181085bfd08663b6b9e60bc7a8395c2aaa741bd",
+        "rev": "9dd5558b06dbdacbf635a3dd36dce1b1a7ee3a89",
        "type": "github"
      },
      "original": {
@@ -2,7 +2,7 @@
  "$schema": "https://json.schemastore.org/package.json",
  "name": "opencode",
  "description": "AI-powered development tool",
-  "version": "2.0.20",
+  "version": "2.0.18",
  "private": true,
  "type": "module",
  "packageManager": "bun@1.4.2",
@@ -68,7 +68,7 @@
      "@tsconfig/bun": "1.0.9",
      "@cloudflare/workers-types": "4.20251008.0",
      "@openauthjs/openauth": "0.0.0-20250322224806",
-      "@pierre/diffs": "1.5.1",
+      "@pierre/diffs": "1.2.10",
      "opentui-spinner": "0.0.7",
      "@solid-primitives/event-listener": "2.4.6",
      "@solid-primitives/media": "2.3.6",
@@ -129,9 +129,8 @@ VercelAIGateway.configure().experimental.evaluation("typesafe-ai/jev")

 OpenRouter reads `OPENROUTER_API_KEY`. Vercel reads `AI_GATEWAY_API_KEY`, then `VERCEL_OIDC_TOKEN`.
 The common API uses `boolean`; System One routes lower it to native `noul`.
-Choice and score answers include `confidence` when the provider returns it, such as
-`response.answers.department.confidence`. Score legends remain available in provider metadata, and
-the provider's rounded probabilities are returned unchanged.
+Choice and score confidence plus score legends remain available in provider metadata, and the
+provider's rounded probabilities are returned unchanged.

 ## Alibaba Cloud Model Studio

@@ -1,6 +1,6 @@
 {
  "$schema": "https://json.schemastore.org/package.json",
-  "version": "2.0.20",
+  "version": "2.0.18",
  "name": "@opencode/ai",
  "type": "module",
  "license": "MIT",
@@ -20,7 +20,6 @@ const AUTO: CachePolicyObject = {
  messages: { tail: 1 },
 }

-const MESSAGE_PREFIX: CachePolicyObject = { system: true, messages: { tail: 1 } }
 const NONE: CachePolicyObject = {}
 const BREAKPOINT_CAP = 4

@@ -29,8 +28,8 @@ const BREAKPOINT_CAP = 4
 //   - "auto"      → tools + first/last system + final message boundary.
 //   - "none"      → no auto placement; manual `CacheHint`s still flow.
 //   - object form → exactly what the caller asked for.
-const resolve = (policy: CachePolicy | undefined, automatic = AUTO): CachePolicyObject => {
-  if (policy === undefined || policy === "auto") return automatic
+const resolve = (policy: CachePolicy | undefined): CachePolicyObject => {
+  if (policy === undefined || policy === "auto") return AUTO
  if (policy === "none") return NONE
  return policy
 }
@@ -39,31 +38,12 @@ const resolve = (policy: CachePolicy | undefined, automatic = AUTO): CachePolicy
 // prefix caching, Gemini's implicit + out-of-band CachedContent). Skip the
 // whole policy pass for these — emitting hints would be harmless but pointless.
 const RESPECTS_INLINE_HINTS = new Set([
-  "alibaba-chat",
-  "alibaba-messages",
  "anthropic-messages",
-  "anthropic-compatible-messages",
-  "cloudflare-ai-gateway-messages",
  "google-vertex-messages",
-  "meta-messages",
-  "minimax-messages",
-  "moonshot-messages",
-  "zai-coding-messages",
  "bedrock-converse",
  "openrouter",
 ])

-// 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 MESSAGE_PREFIX
-  return NONE
-}
-
 const makeHint = (ttlSeconds: number | undefined): CacheHint =>
  ttlSeconds !== undefined ? new CacheHint({ type: "ephemeral", ttlSeconds }) : new CacheHint({ type: "ephemeral" })

@@ -154,8 +134,8 @@ const markMessages = (
  return next
 }

-const countHints = (request: LLMRequest, tools = true) =>
-  (tools ? countToolHints(request.tools) : 0) +
+const countHints = (request: LLMRequest) =>
+  countToolHints(request.tools) +
  request.system.reduce((count, part) => count + (part.cache === undefined ? 0 : 1), 0) +
  request.messages.reduce(
    (count, message) =>
@@ -169,16 +149,14 @@ const countHints = (request: LLMRequest, tools = true) =>

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

  const hint = makeHint(policy.ttlSeconds)
-  const budget = { remaining: Math.max(0, BREAKPOINT_CAP - countHints(request, cacheTools)) }
-  const tools = policy.tools && cacheTools ? markLastTool(request.tools, hint, budget) : request.tools
+  const budget = { remaining: Math.max(0, BREAKPOINT_CAP - countHints(request)) }
+  const tools = policy.tools ? markLastTool(request.tools, hint, budget) : request.tools
  const system = policy.system ? markSystemBoundaries(request.system, hint, budget) : request.system
  const messages = policy.messages ? markMessages(request.messages, policy.messages, hint, budget) : request.messages

@@ -63,7 +63,6 @@ export const ChoiceAnswer = Schema.Struct({
  type: Schema.Literal("choice"),
  choice: Schema.String,
  probabilities: Schema.optional(Schema.Record(Schema.String, Probability)),
-  confidence: Schema.optional(Probability),
 })
 export type ChoiceAnswer = Schema.Schema.Type<typeof ChoiceAnswer>

@@ -71,7 +70,6 @@ export const ScoreAnswer = Schema.Struct({
  type: Schema.Literal("score"),
  score: Schema.Number,
  probabilities: Schema.optional(Schema.Record(Schema.String, Probability)),
-  confidence: Schema.optional(Probability),
 })
 export type ScoreAnswer = Schema.Schema.Type<typeof ScoreAnswer>

@@ -94,7 +92,6 @@ export type AnswerFor<Question extends EvaluationQuestion> = Question extends {
      readonly type: "choice"
      readonly choice: Extract<keyof Criteria, string>
      readonly probabilities?: Readonly<Record<Extract<keyof Criteria, string>, number>>
-      readonly confidence?: number
    }
  : Question extends { readonly type: "score" }
    ? ScoreAnswer
@@ -142,37 +142,32 @@ export const model = <Options extends EvaluationOptions = EvaluationOptions>(cfg
            Effect.mapError((cause) => fail("System One returned an invalid response", cause, text)),
          )

+          const confidence: Record<string, number> = {}
          const legend: Record<string, Record<string, Schema.Json>> = {}
          const answers = Object.fromEntries(
            Object.entries(data.answers).map(([id, answer]): [string, EvaluationAnswer] => {
              if (answer.type === "noul") return [id, { type: "boolean", probability: answer.noul }]
              if (answer.type === "choice") {
+                if (answer.confidence !== undefined) confidence[id] = answer.confidence
                return [
                  id,
                  {
                    type: "choice",
                    choice: answer.choice,
                    probabilities: answer.probabilities,
-                    ...(answer.confidence === undefined ? {} : { confidence: answer.confidence }),
                  },
                ]
              }
+              if (answer.confidence !== undefined) confidence[id] = answer.confidence
              if (answer.legend !== undefined) legend[id] = answer.legend
-              return [
-                id,
-                {
-                  type: "score",
-                  score: answer.score,
-                  probabilities: answer.probabilities,
-                  ...(answer.confidence === undefined ? {} : { confidence: answer.confidence }),
-                },
-              ]
+              return [id, { type: "score", score: answer.score, probabilities: answer.probabilities }]
            }),
          )
          const meta = {
            ...(data.id === undefined ? {} : { responseId: data.id }),
            ...(data.provider === undefined ? {} : { provider: data.provider }),
            ...data.provider_metadata?.[cfg.providerMetadataKey],
+            ...(Object.keys(confidence).length === 0 ? {} : { confidence }),
            ...(Object.keys(legend).length === 0 ? {} : { legend }),
          }
          return new EvaluationResponse({
@@ -4,7 +4,6 @@ import type { LanguageModelCompatibility } from "../schema/index.js"
 import { OpenAIChat } from "./openai-chat.js"
 import { JsonObject, ProviderShared } from "./shared.js"
 import { OpenResponsesOptions } from "./utils/open-responses-options.js"
-import { newBreakpoints } from "./utils/cache.js"

 export type ReasoningEffort = OpenResponsesOptions.ReasoningEffort

@@ -68,17 +67,8 @@ export const protocol = Protocol.make({
    }),
    from: Effect.fn("AlibabaChat.fromRequest")(function* (req) {
      const opts = yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(Options))(req.providerOptions ?? {})
-      const breakpoints = newBreakpoints(4)
      return {
-        ...(yield* OpenAIChat.fromRequest(req, {
-          // Alibaba caches tool definitions with system content and only supports 5-minute markers.
-          cacheTools: false,
-          cacheControl: (cache) => {
-            if (cache === undefined || breakpoints.remaining === 0) return undefined
-            breakpoints.remaining -= 1
-            return { type: "ephemeral" }
-          },
-        })),
+        ...(yield* OpenAIChat.protocol.body.from(req)),
        enable_thinking: opts.enableThinking,
        // Alibaba also rejects an explicit budget that is not below `max_completion_tokens`.
        thinking_budget:
@@ -29,7 +29,6 @@ import { JsonObject, knownString, optionalArray, optionalNull, ProviderShared }
 import { classifyProviderFailure } from "../provider-error.js"
 import { effortUpdate, resolveEffortUpdates } from "../effort-updates.js"
 import * as Cache from "./utils/cache.js"
-import { claudeVersion, supportsThinkingBlockBinding, THINKING_BINDING_BETA } from "./utils/claude-model.js"
 import { Lifecycle } from "./utils/lifecycle.js"
 import { ToolStream } from "./utils/tool-stream.js"

@@ -989,6 +988,22 @@ const lowerMessages = Effect.fn("AnthropicMessages.lowerMessages")(function* (
  return messages
 })

+// Accept gateway namespaces and Vertex suffixes without treating a snapshot date as a minor version.
+const claudeVersion = (id: string) => {
+  const match = /(?:^|[./])claude-(?<family>[a-z]+)-(?<major>\d+)(?:[.-](?<minor>\d{1,2}))?(?:$|[-:@])/.exec(
+    id.toLowerCase(),
+  )?.groups
+  if (!match) return undefined
+  return { family: match.family, major: Number(match.major), minor: Number(match.minor ?? 0) }
+}
+
+const supportsThinkingBlockBinding = (model: LLMRequest["model"]) => {
+  const override = model.compatibility?.supportsThinkingBlockBinding
+  if (override !== undefined) return override
+  const version = claudeVersion(model.id)
+  return version !== undefined && (version.major > 5 || (version.major === 5 && version.minor >= 1))
+}
+
 const supportsEffortUpdates = (model: LLMRequest["model"]) => {
  const override = model.compatibility?.supportsEffortUpdates
  if (override !== undefined) return override
@@ -1637,7 +1652,8 @@ function requiredBetaHeaders(body: Pick<AnthropicMessagesBody, "messages" | "con
    betas.push("mid-conversation-output-config-2026-07-01")

  const thinking = body.thinking
-  if (thinking && thinking.type !== "disabled" && thinking.block_binding) betas.push(THINKING_BINDING_BETA)
+  if (thinking && thinking.type !== "disabled" && thinking.block_binding)
+    betas.push("thinking-binding-controls-2026-08-01")
  return betas
 }

@@ -23,7 +23,6 @@ import { JsonObject, optionalArray, ProviderShared } from "./shared.js"
 import { BedrockAuth } from "./utils/bedrock-auth.js"
 import { BedrockCache } from "./utils/bedrock-cache.js"
 import { BedrockMedia } from "./utils/bedrock-media.js"
-import { supportsThinkingBlockBinding, THINKING_BINDING_BETA } from "./utils/claude-model.js"
 import { Lifecycle } from "./utils/lifecycle.js"
 import { MistralToolID } from "./utils/mistral-tool-id.js"
 import { ToolStream } from "./utils/tool-stream.js"
@@ -444,23 +443,6 @@ const decodeOptions = ProviderShared.validateWith(Schema.decodeUnknownEffect(Opt
 // Claude on Bedrock requires the thinking budget below `maxTokens`, with a minimum of 1,024.
 const MIN_THINKING_BUDGET = 1_024

-const isThinkingDisabled = Schema.is(
-  Schema.Struct({
-    additionalModelRequestFields: Schema.Struct({ thinking: Schema.Struct({ type: Schema.Literal("disabled") }) }),
-  }),
-)
-
-// Claude 5.1+ binds each thinking signature to the prefix above it. Ask Bedrock to drop the affected blocks instead of
-// failing when that prefix changes. `http.body` overlays this field by field, so callers can still override it.
-const applyThinkingBindingDefault = (request: LLMRequest, thinking: Readonly<Record<string, unknown>> | undefined) => {
-  if (isThinkingDisabled(request.http?.body)) return thinking
-  if (!supportsThinkingBlockBinding(request.model)) return thinking
-  return {
-    ...(thinking ?? { type: "adaptive" as const }),
-    block_binding: { prefix_mismatch_behavior: "drop_block" },
-  }
-}
-
 const fromRequest = Effect.fn("BedrockConverse.fromRequest")(function* (request: LLMRequest) {
  const toolChoice = request.toolChoice ? yield* lowerToolChoice(request.toolChoice) : undefined
  const flattened = ProviderShared.flattenToolRequest(request)
@@ -468,8 +450,7 @@ const fromRequest = Effect.fn("BedrockConverse.fromRequest")(function* (request:
  const options = yield* decodeOptions(request.providerOptions ?? {})
  const maxTokens =
    isNova2(request.model) && isHighReasoningEffort(request.http?.body) ? undefined : generation?.maxTokens
-  const thinking = applyThinkingBindingDefault(
-    request,
+  const thinking =
    options.thinking === undefined
      ? undefined
      : {
@@ -479,8 +460,7 @@ const fromRequest = Effect.fn("BedrockConverse.fromRequest")(function* (request:
            maxTokens,
            MIN_THINKING_BUDGET,
          ),
-        },
-  )
+        }
  // Bedrock-Claude shares Anthropic's 4-breakpoint cap. Spend the budget in
  // tools → system → messages order to favour the highest-impact prefixes.
  const breakpoints = BedrockCache.breakpoints(request.model.id)
@@ -529,8 +509,6 @@ const fromRequest = Effect.fn("BedrockConverse.fromRequest")(function* (request:
        : {
            ...(generation?.topK === undefined ? {} : { top_k: generation.topK }),
            ...(thinking === undefined ? {} : { thinking }),
-            // Converse takes Anthropic betas in the body, and Bedrock rejects `block_binding` without this one.
-            ...(thinking?.block_binding === undefined ? {} : { anthropic_beta: [THINKING_BINDING_BETA] }),
          },
  }
 })
@@ -577,7 +555,7 @@ interface ParserState {
  readonly hasToolCalls: boolean
  readonly lifecycle: Lifecycle.State
  readonly reasoningSignatures: Readonly<Record<number, string>>
-  readonly reasoningRedactedContent: Readonly<Record<number, Uint8Array[]>>
+  readonly reasoningRedactedContent: Readonly<Record<number, ReadonlyArray<Uint8Array>>>
 }

 const encodeRedactedContent = (chunks: ReadonlyArray<Uint8Array>) => Encoding.encodeBase64(concatBytes(chunks))
@@ -627,9 +605,10 @@ const step = (state: ParserState, event: BedrockEvent) =>
      const index = event.contentBlockDelta.contentBlockIndex
      const reasoning = event.contentBlockDelta.delta.reasoningContent
      const events: LLMEvent[] = []
-      const redactedChunk = yield* (() => {
+      const redactedChunks = yield* (() => {
        if (reasoning.redactedContent === undefined) return Effect.succeed(undefined)
        return Effect.fromResult(Encoding.decodeBase64(reasoning.redactedContent)).pipe(
+          Effect.map((chunk) => [...(state.reasoningRedactedContent[index] ?? []), chunk]),
          Effect.mapError((cause) =>
            ProviderShared.eventError(
              ADAPTER,
@@ -640,21 +619,17 @@ const step = (state: ParserState, event: BedrockEvent) =>
          ),
        )
      })()
-      const redactedChunks = state.reasoningRedactedContent[index] ?? []
-      if (redactedChunk !== undefined) redactedChunks.push(redactedChunk)
+      const redactedData = redactedChunks === undefined ? reasoning.data : encodeRedactedContent(redactedChunks)
      const metadata = (() => {
        if (reasoning.signature) return providerMetadata(state.providerMetadataKey, { signature: reasoning.signature })
-        if (redactedChunk === undefined && reasoning.data !== undefined)
-          return providerMetadata(state.providerMetadataKey, { redactedData: reasoning.data })
+        if (redactedData !== undefined) return providerMetadata(state.providerMetadataKey, { redactedData })
      })()
      const lifecycle = (() => {
-        if (reasoning.text !== undefined || metadata !== undefined)
-          return Lifecycle.reasoningDelta(state.lifecycle, events, `reasoning-${index}`, reasoning.text ?? "", metadata)
-        if (redactedChunk !== undefined) return Lifecycle.reasoningStart(state.lifecycle, events, `reasoning-${index}`)
-        return state.lifecycle
+        if (reasoning.text === undefined && metadata === undefined) return state.lifecycle
+        return Lifecycle.reasoningDelta(state.lifecycle, events, `reasoning-${index}`, reasoning.text ?? "", metadata)
      })()
      const reasoningRedactedContent = (() => {
-        if (redactedChunk !== undefined) return { ...state.reasoningRedactedContent, [index]: redactedChunks }
+        if (redactedChunks !== undefined) return { ...state.reasoningRedactedContent, [index]: redactedChunks }
        if (reasoning.data === undefined) return state.reasoningRedactedContent
        return Object.fromEntries(
          Object.entries(state.reasoningRedactedContent).filter(([key]) => key !== String(index)),
@@ -790,19 +765,7 @@ const onHalt = (state: ParserState): ReadonlyArray<LLMEvent> => {
    return state.finishReason.normalized
  })()
  const events: LLMEvent[] = []
-  const lifecycle = Object.entries(state.reasoningRedactedContent).reduce((current, [index, chunks]) => {
-    const signature = state.reasoningSignatures[Number(index)]
-    return Lifecycle.reasoningEnd(
-      current,
-      events,
-      `reasoning-${index}`,
-      providerMetadata(
-        state.providerMetadataKey,
-        signature ? { signature } : { redactedData: encodeRedactedContent(chunks) },
-      ),
-    )
-  }, state.lifecycle)
-  Lifecycle.finish(lifecycle, events, {
+  Lifecycle.finish(state.lifecycle, events, {
    reason: {
      ...state.finishReason,
      normalized,
@@ -10,19 +10,14 @@ const WebSearch = Schema.Struct({
  name: Schema.Literal("web_search"),
  user_location: MetaResponses.WebSearch.fields.user_location,
 })
-const MetaCacheControl = Schema.Struct({
-  type: Schema.tag("ephemeral"),
-  ttl: Schema.optional(Schema.Literals(["5m", "1h"])),
-})
-const FunctionTool = Schema.Struct({
-  name: Schema.String,
-  description: Schema.String,
-  input_schema: JsonObject,
-  cache_control: Schema.optional(MetaCacheControl),
-})
 const Body = Schema.Struct({
  ...AnthropicMessages.AnthropicMessagesBody.fields,
-  tools: optionalArray(Schema.Union([FunctionTool, WebSearch])),
+  tools: optionalArray(
+    Schema.Union([
+      Schema.Struct({ name: Schema.String, description: Schema.String, input_schema: JsonObject }),
+      WebSearch,
+    ]),
+  ),
 })

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

 export interface ParserState {
@@ -503,8 +502,8 @@ const closeActive = (state: ParserState, events: LLMEvent[]) => {
          state.lifecycle,
          events,
          state.active.id,
-          thinkingMetadata({ ...state.active.thinking, type: "thinking", thinking: state.active.thinkingUnits ?? [] }),
-          thinkingText(state.active.thinkingUnits ?? []),
+          thinkingMetadata(state.active.thinking ?? { type: "thinking", thinking: [] }),
+          thinkingText(state.active.thinking?.thinking ?? []),
        )
  return { ...state, lifecycle, active: undefined }
 }
@@ -525,23 +524,20 @@ const appendThinking = (state: ParserState, events: LLMEvent[], part: MistralOut
  const current = state.active?.type === "reasoning" ? state : closeActive(state, events)
  const units = thinkingUnits(part.thinking)
  const active = current.active ?? { type: "reasoning" as const, id: `reasoning-${current.nextContent}` }
-  // Keep native units out of streamed events until the block is complete.
-  const accumulated = active.thinkingUnits ?? []
-  accumulated.push(...units)
  const thinking = {
    ...active.thinking,
    ...part,
    type: "thinking" as const,
-    thinking: [],
+    thinking: [...(active.thinking?.thinking ?? []), ...units],
  }
  const text = thinkingText(units)
  return {
    ...current,
    lifecycle:
      text.length > 0
-        ? Lifecycle.reasoningDelta(current.lifecycle, events, active.id, text)
-        : Lifecycle.reasoningStart(current.lifecycle, events, active.id),
-    active: { ...active, thinking, thinkingUnits: accumulated },
+        ? Lifecycle.reasoningDelta(current.lifecycle, events, active.id, text, thinkingMetadata(thinking))
+        : Lifecycle.reasoningStart(current.lifecycle, events, active.id, thinkingMetadata(thinking)),
+    active: { ...active, thinking },
    nextContent: current.active ? current.nextContent : current.nextContent + 1,
  }
 }
@@ -20,6 +20,7 @@ import {
  type LLMRequest,
  type MediaPart,
  type ReasoningPart,
+  type TextPart,
  type ToolCallPart,
  type ToolDefinition,
 } from "../schema/index.js"
@@ -44,7 +45,6 @@ const OpenAIChatCacheControl = Schema.Struct({
  type: Schema.Literal("ephemeral"),
  ttl: Schema.optional(Schema.String),
 })
-type OpenAIChatCacheControl = Schema.Schema.Type<typeof OpenAIChatCacheControl>

 const OpenAIChatFunction = Schema.Struct({
  name: Schema.String,
@@ -64,14 +64,6 @@ const OpenAIChatTool = Schema.Struct({
 })
 type OpenAIChatTool = Schema.Schema.Type<typeof OpenAIChatTool>

-// Gemini's OpenAI-compatible surface carries thought signatures in tool call
-// `extra_content` and rejects replayed parallel calls without them:
-// https://ai.google.dev/gemini-api/docs/thinking#signatures
-const ExtraContent = Schema.Struct({
-  google: Schema.Struct({ thought_signature: Schema.String }),
-})
-const decodeExtraContent = (value: unknown) => Option.getOrUndefined(Schema.decodeUnknownOption(ExtraContent)(value))
-
 const OpenAIChatAssistantToolCall = Schema.Struct({
  id: Schema.String,
  type: Schema.tag("function"),
@@ -79,7 +71,6 @@ const OpenAIChatAssistantToolCall = Schema.Struct({
    name: Schema.String,
    arguments: Schema.String,
  }),
-  extra_content: Schema.optional(ExtraContent),
 })
 type OpenAIChatAssistantToolCall = Schema.Schema.Type<typeof OpenAIChatAssistantToolCall>

@@ -121,15 +112,18 @@ 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>
+// Intentionally omit Gemini's provider-specific `extra_content.google.thought_signature`
+// extension until direct Google OpenAI-compatible routing is supported here:
+// https://github.com/vercel/ai/issues/11590
+// https://github.com/vercel/ai/pull/11745
+// https://ai.google.dev/gemini-api/docs/thought-signatures#openai

 const OpenAIChatUserContent = Schema.Union([
-  OpenAIChatTextContent,
+  Schema.Struct({
+    type: Schema.Literal("text"),
+    text: Schema.String,
+    cache_control: Schema.optional(OpenAIChatCacheControl),
+  }),
  Schema.Struct({
    type: Schema.Literal("image_url"),
    image_url: Schema.Struct({ url: Schema.String }),
@@ -139,7 +133,6 @@ const OpenAIChatUserContent = Schema.Union([
    file: Schema.Struct({ filename: Schema.String, file_data: Schema.String }),
  }),
 ])
-type OpenAIChatUserContent = Schema.Schema.Type<typeof OpenAIChatUserContent>

 const OpenAIChatMessage = Schema.Union([
  Schema.Struct({
@@ -153,19 +146,21 @@ const OpenAIChatMessage = Schema.Union([
  Schema.StructWithRest(
    Schema.Struct({
      role: Schema.Literal("assistant"),
-      content: Schema.NullOr(Schema.Union([Schema.String, Schema.Array(OpenAIChatTextContent)])),
+      content: Schema.NullOr(Schema.String),
      tool_calls: optionalArray(OpenAIChatAssistantToolCall),
      reasoning_content: Schema.optional(Schema.String),
      reasoning: Schema.optional(Schema.String),
      reasoning_text: Schema.optional(Schema.String),
      reasoning_details: Schema.optional(Schema.Unknown),
+      cache_control: Schema.optional(OpenAIChatCacheControl),
    }),
    [Schema.Record(Schema.String, Schema.Unknown)],
  ),
  Schema.Struct({
    role: Schema.Literal("tool"),
    tool_call_id: Schema.String,
-    content: Schema.Union([Schema.String, Schema.Array(OpenAIChatTextContent)]),
+    content: Schema.String,
+    cache_control: Schema.optional(OpenAIChatCacheControl),
  }),
 ]).pipe(Schema.toTaggedUnion("role"))
 type OpenAIChatMessage = Schema.Schema.Type<typeof OpenAIChatMessage>
@@ -247,7 +242,6 @@ const OpenAIChatToolCallDelta = Schema.Struct({
  index: optionalNull(Schema.Number),
  id: optionalNull(Schema.String),
  function: optionalNull(OpenAIChatToolCallDeltaFunction),
-  extra_content: optionalNull(Schema.Unknown),
 })
 type OpenAIChatToolCallDelta = Schema.Schema.Type<typeof OpenAIChatToolCallDelta>

@@ -300,7 +294,6 @@ interface PendingToolDelta {
  readonly id?: string
  readonly name?: string
  readonly input: string
-  readonly extraContent?: Schema.Schema.Type<typeof ExtraContent>
 }

 export interface ParserState {
@@ -329,8 +322,9 @@ export interface ParserState {
 // OpenAI Chat wire format. Keep provider quirks here instead of leaking native
 // fields into `LLMRequest`.
 interface LoweringOptions {
-  readonly cacheControl?: (cache: CacheHint | undefined) => OpenAIChatCacheControl | undefined
-  readonly cacheTools?: boolean
+  readonly cacheControl?: (
+    cache: CacheHint | undefined,
+  ) => Schema.Schema.Type<typeof OpenAIChatCacheControl> | undefined
  readonly toolCallID?: (id: string) => string
 }

@@ -342,7 +336,7 @@ const lowerTool = (tool: ToolDefinition, options: LoweringOptions, supportsStric
    parameters: tool.inputSchema,
    ...(supportsStrictMode ? { strict: false } : {}),
  },
-  cache_control: options.cacheTools === false ? undefined : options.cacheControl?.(tool.cache),
+  cache_control: options.cacheControl?.(tool.cache),
 })

 const lowerToolChoice = (toolChoice: NonNullable<LLMRequest["toolChoice"]>) =>
@@ -353,17 +347,13 @@ const lowerToolChoice = (toolChoice: NonNullable<LLMRequest["toolChoice"]>) =>
    tool: (name) => ({ type: "function" as const, function: { name } }),
  })

-const lowerToolCall = (
-  part: ToolCallPart,
-  options: LoweringOptions & { readonly providerMetadataKey: string },
-): OpenAIChatAssistantToolCall => ({
+const lowerToolCall = (part: ToolCallPart, options: LoweringOptions): OpenAIChatAssistantToolCall => ({
  id: options.toolCallID?.(part.id) ?? part.id,
  type: "function",
  function: {
    name: part.name,
    arguments: ProviderShared.encodeJson(part.input === undefined ? {} : part.input),
  },
-  extra_content: decodeExtraContent(part.providerMetadata?.[options.providerMetadataKey]?.extraContent),
 })

 const lowerMedia = Effect.fn("OpenAIChat.lowerMedia")(function* (part: MediaPart) {
@@ -416,7 +406,7 @@ const lowerUserMessage = Effect.fn("OpenAIChat.lowerUserMessage")(function* (
  message: OpenAIChatRequestMessage,
  options: LoweringOptions,
 ) {
-  const content: OpenAIChatUserContent[] = []
+  const content: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []
  for (const part of message.content) {
    if (part.type === "text") {
      content.push({ type: "text", text: part.text, cache_control: options.cacheControl?.(part.cache) })
@@ -442,14 +432,14 @@ const lowerAssistantMessage = Effect.fn("OpenAIChat.lowerAssistantMessage")(func
  requireReasoning: boolean,
  options: LoweringOptions & { readonly providerMetadataKey: string },
 ) {
-  const content: OpenAIChatTextContent[] = []
+  const content: TextPart[] = []
  const reasoning: ReasoningPart[] = []
  const toolCalls: OpenAIChatAssistantToolCall[] = []
  for (const part of message.content) {
    if (!ProviderShared.supportsContent(part, ["text", "reasoning", "tool-call"]))
      return yield* ProviderShared.unsupportedContent("OpenAI Chat", "assistant", ["text", "reasoning", "tool-call"])
    if (part.type === "text") {
-      content.push({ type: "text", text: part.text, cache_control: options.cacheControl?.(part.cache) })
+      content.push(part)
      continue
    }
    if (part.type === "reasoning") {
@@ -487,15 +477,14 @@ const lowerAssistantMessage = Effect.fn("OpenAIChat.lowerAssistantMessage")(func
    if (reasoning.length === 0) return nativeReasoning ?? (requireReasoning ? "" : undefined)
    return text
  })()
+  const cached = message.content.findLast((part) => "cache" in part && part.cache !== undefined)
+  const cacheControl = options.cacheControl?.(cached && "cache" in cached ? cached.cache : undefined)
  const result = {
    role: "assistant" as const,
-    content: (() => {
-      if (content.some((part) => part.cache_control !== undefined)) return content
-      if (content.length === 0 && toolCalls.length > 0) return null
-      return content.map((part) => part.text).join("")
-    })(),
+    content: content.length > 0 ? content.map((part) => part.text).join("") : toolCalls.length > 0 ? null : "",
    ...(toolCalls.length > 0 ? { tool_calls: toolCalls } : {}),
    ...(details !== undefined ? { reasoning_details: details } : {}),
+    ...(cacheControl !== undefined ? { cache_control: cacheControl } : {}),
  }
  if (field === undefined || reasoningText === undefined) return result
  return { ...result, [field]: reasoningText }
@@ -506,38 +495,33 @@ const lowerToolMessages = Effect.fn("OpenAIChat.lowerToolMessages")(function* (
  options: LoweringOptions,
 ) {
  const messages: OpenAIChatMessage[] = []
-  const attachments: OpenAIChatUserContent[] = []
+  const attachments: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []
  for (const part of message.content) {
    if (!ProviderShared.supportsContent(part, ["tool-result"]))
      return yield* ProviderShared.unsupportedContent("OpenAI Chat", "tool", ["tool-result"])
    if (part.result.type !== "content") {
-      messages.push(
-        toolMessage(
-          options.toolCallID?.(part.id) ?? part.id,
-          ProviderShared.toolResultText(part),
-          options.cacheControl?.(part.cache),
-        ),
-      )
+      messages.push({
+        role: "tool",
+        tool_call_id: options.toolCallID?.(part.id) ?? part.id,
+        content: ProviderShared.toolResultText(part),
+        cache_control: options.cacheControl?.(part.cache),
+      })
      continue
    }
    const content: ReadonlyArray<Tool.Content> = part.result.value
    const text = content.filter((item) => item.type === "text").map((item) => item.text)
-    messages.push(
-      toolMessage(options.toolCallID?.(part.id) ?? part.id, text.join("\n"), options.cacheControl?.(part.cache)),
-    )
+    messages.push({
+      role: "tool",
+      tool_call_id: options.toolCallID?.(part.id) ?? part.id,
+      content: text.join("\n"),
+      cache_control: options.cacheControl?.(part.cache),
+    })
    const files = content.filter((item) => item.type === "file")
    attachments.push(...(yield* Effect.forEach(files, (item) => lowerMedia(ProviderShared.toolFileMedia(item)))))
  }
  return { messages, attachments }
 })

-// Chat cache breakpoints belong on text content parts, not on the message itself.
-const toolMessage = (toolCallID: string, text: string, cacheControl: OpenAIChatCacheControl | undefined) => ({
-  role: "tool" as const,
-  tool_call_id: toolCallID,
-  content: cacheControl === undefined ? text : [{ type: "text" as const, text, cache_control: cacheControl }],
-})
-
 const lowerMessage = Effect.fn("OpenAIChat.lowerMessage")(function* (
  message: OpenAIChatRequestMessage,
  reasoningField: string | undefined,
@@ -596,7 +580,7 @@ const lowerMessages = Effect.fn("OpenAIChat.lowerMessages")(function* (request:
    if (requireAssistantAfterTool && messages.at(-1)?.role === "tool")
      messages.push({ role: "assistant", content: "Done." })
  }
-  const pendingAttachments: OpenAIChatUserContent[] = []
+  const pendingAttachments: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []
  const flushAttachments = () => {
    if (pendingAttachments.length === 0) return
    bridgeTools()
@@ -606,25 +590,24 @@ const lowerMessages = Effect.fn("OpenAIChat.lowerMessages")(function* (request:
    if (message.role === "user") bridgeTools()
    if (message.role === "system") {
      const part = yield* ProviderShared.wrappedSystemUpdate("OpenAI Chat", message)
-      const cacheControl = options.cacheControl?.(part.cache)
      if (pendingAttachments.length > 0) {
        messages.push({
          role: "user",
          content: [
            ...pendingAttachments.splice(0),
-            { type: "text", text: part.text, cache_control: cacheControl },
+            { type: "text", text: part.text, cache_control: options.cacheControl?.(part.cache) },
          ],
        })
        continue
      }
      const previous = messages.at(-1)
      if (previous?.role === "user" && typeof previous.content === "string")
-        messages[messages.length - 1] = cacheControl
+        messages[messages.length - 1] = options.cacheControl?.(part.cache)
          ? {
              role: "user",
              content: [
                { type: "text", text: previous.content },
-                { type: "text", text: part.text, cache_control: cacheControl },
+                { type: "text", text: part.text, cache_control: options.cacheControl(part.cache) },
              ],
            }
          : { role: "user", content: `${previous.content}\n${part.text}` }
@@ -633,15 +616,15 @@ const lowerMessages = Effect.fn("OpenAIChat.lowerMessages")(function* (request:
          role: "user",
          content: [
            ...previous.content,
-            { type: "text", text: part.text, cache_control: cacheControl },
+            { type: "text", text: part.text, cache_control: options.cacheControl?.(part.cache) },
          ],
        }
      else
        messages.push(
-          cacheControl
+          options.cacheControl?.(part.cache)
            ? {
                role: "user",
-                content: [{ type: "text", text: part.text, cache_control: cacheControl }],
+                content: [{ type: "text", text: part.text, cache_control: options.cacheControl(part.cache) }],
              }
            : { role: "user", content: part.text },
        )
@@ -738,9 +721,7 @@ const detectSupportsStore = (provider: string, baseURL: string | undefined): boo
    p === "vercel-ai-gateway" || url.includes("ai-gateway.vercel.sh") || url.includes("vercel.sh")
  const isAntLing = p === "ant-ling" || url.includes("api.ant-ling.com")
  const isOpencode = p === "opencode" || url.includes("opencode.ai")
-  const isGemini = url.includes("generativelanguage.googleapis.com")
  const isNonStandard =
-    isGemini ||
    isNvidia ||
    isCerebras ||
    isXai ||
@@ -1133,13 +1114,12 @@ const step = (state: ParserState, event: OpenAIChatEvent) =>
      const id = current?.id ?? pending?.id ?? (tool.id || undefined)
      const name = current?.name ?? pending?.name ?? (tool.function?.name || undefined)
      const text = `${pending?.input ?? ""}${tool.function?.arguments ?? ""}`
-      const extraContent = pending?.extraContent ?? decodeExtraContent(tool.extra_content)
      latestToolIndex = index
      nextToolIndex = Math.max(nextToolIndex, index + 1)
      if (!current && (!id || !name)) {
        pendingTools = {
          ...pendingTools,
-          [index]: { id: id || undefined, name: name || undefined, input: text, extraContent },
+          [index]: { id: id || undefined, name: name || undefined, input: text },
        }
        continue
      }
@@ -1151,12 +1131,7 @@ const step = (state: ParserState, event: OpenAIChatEvent) =>
        ADAPTER,
        tools,
        index,
-        {
-          id: id || undefined,
-          name: name || undefined,
-          text,
-          providerMetadata: extraContent && { [state.providerMetadataKey]: { extraContent } },
-        },
+        { id: id || undefined, name: name || undefined, text },
        "OpenAI Chat tool call delta is missing id or name",
      )
      if (ToolStream.isError(result))
@@ -1,19 +0,0 @@
-import type { LLMRequest } from "../../schema/index.js"
-
-export const THINKING_BINDING_BETA = "thinking-binding-controls-2026-08-01"
-
-// Accept gateway namespaces and Vertex suffixes without treating a snapshot date as a minor version.
-export const claudeVersion = (id: string) => {
-  const match = /(?:^|[./])claude-(?<family>[a-z]+)-(?<major>\d+)(?:[.-](?<minor>\d{1,2}))?(?:$|[-:@])/.exec(
-    id.toLowerCase(),
-  )?.groups
-  if (!match) return undefined
-  return { family: match.family, major: Number(match.major), minor: Number(match.minor ?? 0) }
-}
-
-export const supportsThinkingBlockBinding = (model: LLMRequest["model"]) => {
-  const override = model.compatibility?.supportsThinkingBlockBinding
-  if (override !== undefined) return override
-  const version = claudeVersion(model.id)
-  return version !== undefined && (version.major > 5 || (version.major === 5 && version.minor >= 1))
-}
@@ -147,12 +147,7 @@ export const appendOrStart = <K extends StreamKey>(
  route: string,
  tools: State<K>,
  key: K,
-  delta: {
-    readonly id?: string
-    readonly name?: string
-    readonly text: string
-    readonly providerMetadata?: ProviderMetadata
-  },
+  delta: { readonly id?: string; readonly name?: string; readonly text: string },
  missingToolMessage: string,
 ): AppendOutcome<K> | AIError => {
  const current = tools[key]
@@ -166,7 +161,7 @@ export const appendOrStart = <K extends StreamKey>(
    namespace: current?.namespace,
    input: `${current?.input ?? ""}${delta.text}`,
    providerExecuted: current?.providerExecuted,
-    providerMetadata: current?.providerMetadata ?? delta.providerMetadata,
+    providerMetadata: current?.providerMetadata,
  }
  if (current && delta.text.length === 0 && current.id === id && current.name === name)
    return { tools, tool: current, events: [] }
@@ -1,4 +1,4 @@
-import { Option, Schema, SchemaGetter } from "effect"
+import { Option, Schema } from "effect"
 import {
  AuthenticationError,
  ContentPolicyError,
@@ -109,8 +109,7 @@ const QUOTA_CODES = new Set([
  "freeusagelimiterror",
  "creditlimitexceeded",
 ])
-// 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 AUTH_CODES = new Set(["authentication_error", "permission_error"])
 const SERVER_CODES = new Set([
  "api_error",
  "internal_error",
@@ -155,41 +154,6 @@ const CONTENT_POLICY_TEXT =
 const SERVER_ERROR_TEXT =
  /\b(?:try again|(?:please |you can )?retry (?:the |this |your )?request|try (?:the |this |your )?request again|(?:currently |temporarily )?at capacity|overloaded|temporarily unavailable|service[-_\s]?unavailable|(?:server|internal)[-_\s]?error|server (?:is )?busy|provider returned (?:an )?error|resource[-_\s]?exhausted|upstream (?:connect|connection|request)|request buffer limit while retrying upstream)\b/i

-const Message = Schema.String.check(Schema.isPattern(/\S/))
-
-const messageAt = <Fields extends Schema.Struct.Fields>(
-  fields: Fields,
-  message: (body: Schema.Struct<Fields>["Type"]) => string,
-) =>
-  Schema.Struct(fields).pipe(
-    Schema.decodeTo(Schema.String, {
-      decode: SchemaGetter.transform(message),
-      encode: SchemaGetter.forbidden(() => "Provider error messages are decode-only"),
-    }),
-  )
-
-// Common error body layouts that carry a human-readable message, in priority order.
-// Provider-specific layouts belong in their protocol.
-const decodeMessage = Schema.decodeUnknownOption(
-  Schema.fromJsonString(
-    Schema.Union([
-      messageAt({ error: Schema.Struct({ message: Message }) }, (body) => body.error.message),
-      messageAt({ error: Message }, (body) => body.error),
-      messageAt({ message: Message }, (body) => body.message),
-      // AWS services
-      messageAt({ Message: Message }, (body) => body.Message),
-      // RFC 9457 problem details
-      messageAt({ detail: Message }, (body) => body.detail),
-      messageAt(
-        { errors: Schema.NonEmptyArray(Schema.Struct({ message: Message })) },
-        (body) => body.errors[0].message,
-      ),
-    ]),
-  ),
-)
-
-export const providerErrorMessage = (body: string) => Option.getOrUndefined(decodeMessage(body))
-
 export interface ProviderFailure {
  readonly message: string
  readonly status?: number | undefined
@@ -295,10 +259,6 @@ 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,
@@ -28,8 +28,7 @@ export type Settings = ProviderPackage.Settings &
    readonly provider?: string
  }

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

 const auth = (input: ProviderAuthOption<"optional">) => {
  if ("auth" in input && input.auth) return input.auth
@@ -44,7 +43,7 @@ export const configure = (input: Config) => {
      message: "Anthropic-compatible providers require a baseURL",
    })
  const { provider: _, baseURL, apiKey: _apiKey, auth: _auth, ...rest } = input
-  const route = (provider === "anthropic" ? AnthropicMessages.route : compatibleRoute).with({
+  const route = AnthropicMessages.route.with({
    ...rest,
    provider,
    endpoint: { baseURL },
@@ -35,13 +35,13 @@ const RESPONSES_WEBSOCKET_ROTATE_AFTER_MS = 24 * 60 * 1000

 const responsesRoute = Route.make({
  compact: { endpoint: XAIResponses.compact },
-  id: "xai-responses",
+  id: "openai-responses",
  provider: id,
  providerMetadataKey: "xai",
  protocol: XAIResponses.protocol,
  endpoint: Endpoint.path("/responses", { baseURL }),
  transport: OpenResponsesChannel.transport({
-    id: "xai-responses",
+    id: "openai-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: "xai-chat",
+  id: "openai-compatible-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, providerErrorMessage } from "../provider-error.js"
+import { classifyProviderFailure } from "../provider-error.js"
 import { Service, type HttpMiddleware, type Interface } from "./executor-service.js"

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

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

-// Without a recognized message, show the raw body so the provider's explanation is never dropped.
 const providerMessage = (status: number, body: string | void) => {
-  const fallback = `Provider request failed with HTTP ${status}`
-  const text = body?.trim() ?? ""
-  const message = providerErrorMessage(text)
-  if (message) return message
-  // Gateway and proxy HTML error pages are markup, not an explanation.
-  if (!text || /^<(?:!doctype|html)/i.test(text)) return fallback
-  return `${fallback}: ${text.length > MAX_BODY_CHARS ? `${text.slice(0, MAX_BODY_CHARS)}…` : text}`
+  const decoded = body === undefined ? undefined : Option.getOrUndefined(decodeProviderBody(body))
+  return (
+    [decoded?.error?.message, decoded?.message].find((message) => message?.trim()) ??
+    `Provider request failed with HTTP ${status}`
+  )
 }

 const statusError = (response: HttpClientResponse.HttpClientResponse) =>
@@ -3,17 +3,7 @@ import { Effect } from "effect"
 import { CacheHint, LLM, Message } from "../src/index.js"
 import { Auth } from "../src/route.js"
 import { compileRequest } from "../src/route/client.js"
-import {
-  Alibaba,
-  AmazonBedrock,
-  AnthropicCompatible,
-  CloudflareAIGateway,
-  GoogleVertexMessages,
-  Meta,
-  MiniMax,
-  Moonshot,
-  ZAICodingPlan,
-} from "../src/providers.js"
+import { AmazonBedrock, GoogleVertexMessages } from "../src/providers.js"
 import * as AnthropicMessages from "../src/protocols/anthropic-messages.js"
 import * as Gemini from "../src/protocols/gemini.js"
 import * as OpenAIChat from "../src/protocols/openai-chat.js"
@@ -117,54 +107,6 @@ 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(
@@ -39,18 +39,17 @@ describe("experimental Evaluation", () => {
        type: "choice",
        choice: "billing",
        probabilities: { billing: 0.9, technical: 0.1 },
-        confidence: 0.8,
      })
      expect(response.answers.urgency).toEqual({
        type: "score",
        score: 1.2,
        probabilities: { "0": 0, "1": 0.8, "2": 0.2 },
-        confidence: 0.6,
      })
      expect(response.answers.refund).toEqual({ type: "boolean", probability: 0.97 })
      expect(response.usage?.totalTokens).toBe(36)
      expect(response.providerMetadata).toEqual({
        typesafe: {
+          confidence: { department: 0.8, urgency: 0.6 },
          legend: { urgency: { "0": "Can wait", "1": "Needs attention", "2": "Blocking" } },
        },
      })
@@ -26,10 +26,8 @@ const request = Evaluation.request({
 const result = EvaluationClient.evaluate(request)
 type Result = Success<typeof result>
 type Choice = Assert<Equal<Result["answers"]["topic"]["choice"], "billing" | "support">>
-type Confidence = Assert<Equal<Result["answers"]["topic"]["confidence"], number | undefined>>
 type ClientRequirements = Assert<Equal<Requirements<typeof result>, Service>>
 void (true satisfies Choice)
-void (true satisfies Confidence)
 void (true satisfies ClientRequirements)

 Effect.gen(function* () {
@@ -273,56 +273,10 @@ describe("RequestExecutor", () => {
      expectAIError(error)
      expect(error.reason).toMatchObject({ _tag: "InvalidRequest" })
      expect("classification" in error.reason ? error.reason.classification : undefined).toBeUndefined()
-      expect(error.message).toBe("Provider request failed with HTTP 400: invalid parameter")
+      expect(error.message).toBe("Provider request failed with HTTP 400")
    }).pipe(Effect.provide(fixedResponse("invalid parameter", { status: 400 }))),
  )

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

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

@@ -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("xai-responses")
-    expect(XAI.configure({ apiKey: "fixture" }).chat("grok-4.3").route.id).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(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": "2026-09-29T05:26:24.450Z"
+    "recordedAt": "2026-09-08T03:10:57.819Z"
  },
  "interactions": [
    {
@@ -21,14 +21,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"qwen3.7-plus\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"max_tokens\":4096,\"thinking\":{\"type\":\"disabled\"}}"
+        "body": "{\"model\":\"qwen3.7-plus\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}]}],\"stream\":true,\"max_tokens\":4096,\"thinking\":{\"type\":\"disabled\"}}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream"
        },
-        "body": "event:ping\ndata:{\"type\":\"ping\"}\n\nevent:message_start\ndata:{\"message\":{\"model\":\"qwen3.7-plus\",\"id\":\"msg_39067759-5f01-9b3a-b2c1-09111797f7b5\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"usage\":{\"input_tokens\":20,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent:content_block_start\ndata:{\"type\":\"content_block_start\",\"content_block\":{\"type\":\"text\",\"text\":\"\"},\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"3\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"788\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"7\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_stop\ndata:{\"type\":\"content_block_stop\",\"index\":0}\n\nevent:message_delta\ndata:{\"delta\":{\"stop_reason\":\"end_turn\"},\"type\":\"message_delta\",\"usage\":{\"cache_creation\":{\"ephemeral_5m_input_tokens\":0},\"output_tokens\":5,\"cache_creation_input_tokens\":0,\"input_tokens\":32,\"cache_read_input_tokens\":0,\"prompt_tokens_details\":{\"cached_tokens\":0}}}\n\nevent:message_stop\ndata:{\"type\":\"message_stop\"}\n\n"
+        "body": "event:ping\ndata:{\"type\":\"ping\"}\n\nevent:message_start\ndata:{\"message\":{\"model\":\"qwen3.7-plus\",\"id\":\"msg_c4d58b4f-a61d-9d0c-a9e4-cb45d34b1120\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"usage\":{\"input_tokens\":20,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent:content_block_start\ndata:{\"type\":\"content_block_start\",\"content_block\":{\"type\":\"text\",\"text\":\"\"},\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"3\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"7887\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_stop\ndata:{\"type\":\"content_block_stop\",\"index\":0}\n\nevent:message_delta\ndata:{\"delta\":{\"stop_reason\":\"end_turn\"},\"type\":\"message_delta\",\"usage\":{\"output_tokens\":5,\"cache_creation_input_tokens\":0,\"input_tokens\":32,\"cache_read_input_tokens\":0,\"prompt_tokens_details\":{\"cached_tokens\":0}}}\n\nevent:message_stop\ndata:{\"type\":\"message_stop\"}\n\n"
      }
    }
  ]
@@ -9,7 +9,7 @@
      "structured-output"
    ],
    "name": "alibaba-messages/qwen-3-8-max-follows-a-json-schema",
-    "recordedAt": "2026-09-29T05:26:41.466Z"
+    "recordedAt": "2026-09-08T03:11:30.530Z"
  },
  "interactions": [
    {
@@ -20,14 +20,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Return a JSON object with one key \\\"city\\\" set to the capital city of France.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"max_tokens\":1024,\"thinking\":{\"type\":\"disabled\"},\"output_config\":{\"format\":{\"type\":\"json_schema\",\"schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}}}"
+        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Return a JSON object with one key \\\"city\\\" set to the capital city of France.\"}]}],\"stream\":true,\"max_tokens\":1024,\"thinking\":{\"type\":\"disabled\"},\"output_config\":{\"format\":{\"type\":\"json_schema\",\"schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}}}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream"
        },
-        "body": "event:ping\ndata:{\"type\":\"ping\"}\n\nevent:message_start\ndata:{\"message\":{\"model\":\"qwen3.8-max\",\"id\":\"msg_61ee9b9d-a224-9b69-98f7-9f9ea3937b41\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"usage\":{\"input_tokens\":18,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent:content_block_start\ndata:{\"type\":\"content_block_start\",\"content_block\":{\"type\":\"text\",\"text\":\"\"},\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"{\\\"\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"city\\\":\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\" \\\"Paris\\\"}\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_stop\ndata:{\"type\":\"content_block_stop\",\"index\":0}\n\nevent:message_delta\ndata:{\"delta\":{\"stop_reason\":\"end_turn\"},\"type\":\"message_delta\",\"usage\":{\"cache_creation\":{\"ephemeral_5m_input_tokens\":0},\"output_tokens\":6,\"cache_creation_input_tokens\":0,\"input_tokens\":32,\"cache_read_input_tokens\":0,\"prompt_tokens_details\":{\"cached_tokens\":0}}}\n\nevent:message_stop\ndata:{\"type\":\"message_stop\"}\n\n"
+        "body": "event:ping\ndata:{\"type\":\"ping\"}\n\nevent:message_start\ndata:{\"message\":{\"model\":\"qwen3.8-max\",\"id\":\"msg_16e067c1-984b-94d3-9abb-11792d794271\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"usage\":{\"input_tokens\":18,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent:content_block_start\ndata:{\"type\":\"content_block_start\",\"content_block\":{\"type\":\"text\",\"text\":\"\"},\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"{\\\"\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"city\\\":\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\" \\\"Paris\\\"}\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_stop\ndata:{\"type\":\"content_block_stop\",\"index\":0}\n\nevent:message_delta\ndata:{\"delta\":{\"stop_reason\":\"end_turn\"},\"type\":\"message_delta\",\"usage\":{\"output_tokens\":6,\"cache_creation_input_tokens\":0,\"input_tokens\":32,\"cache_read_input_tokens\":0,\"prompt_tokens_details\":{\"cached_tokens\":0}}}\n\nevent:message_stop\ndata:{\"type\":\"message_stop\"}\n\n"
      }
    }
  ]
@@ -10,7 +10,7 @@
      "tool-choice"
    ],
    "name": "alibaba-messages/qwen-3-8-max-obeys-named-tool-choice",
-    "recordedAt": "2026-09-29T05:26:40.212Z"
+    "recordedAt": "2026-09-08T03:11:06.590Z"
  },
  "interactions": [
    {
@@ -21,14 +21,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Find the current weather in Paris.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"]},\"cache_control\":{\"type\":\"ephemeral\"}}],\"tool_choice\":{\"type\":\"tool\",\"name\":\"get_weather\"},\"stream\":true,\"max_tokens\":4096,\"thinking\":{\"type\":\"disabled\"}}"
+        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Find the current weather in Paris.\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"]}}],\"tool_choice\":{\"type\":\"tool\",\"name\":\"get_weather\"},\"stream\":true,\"max_tokens\":4096,\"thinking\":{\"type\":\"disabled\"}}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream"
        },
-        "body": "event:ping\ndata:{\"type\":\"ping\"}\n\nevent:message_start\ndata:{\"message\":{\"model\":\"qwen3.8-max\",\"id\":\"msg_dab3e1c5-e75e-978d-902e-1b0a82918cff\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"usage\":{\"input_tokens\":45,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent:content_block_start\ndata:{\"type\":\"content_block_start\",\"content_block\":{\"name\":\"get_weather\",\"input\":{},\"id\":\"toolu_9a1c3c06a04744cc97df33a2\",\"type\":\"tool_use\"},\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"partial_json\":\"\",\"type\":\"input_json_delta\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"partial_json\":\"{\\\"city\\\": \\\"Paris\",\"type\":\"input_json_delta\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"partial_json\":\"\\\"\",\"type\":\"input_json_delta\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"partial_json\":\"}\",\"type\":\"input_json_delta\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_stop\ndata:{\"type\":\"content_block_stop\",\"index\":0}\n\nevent:message_delta\ndata:{\"delta\":{\"stop_reason\":\"end_turn\"},\"type\":\"message_delta\",\"usage\":{\"cache_creation\":{\"ephemeral_5m_input_tokens\":0},\"output_tokens\":19,\"cache_creation_input_tokens\":0,\"input_tokens\":288,\"cache_read_input_tokens\":0,\"prompt_tokens_details\":{\"cached_tokens\":0}}}\n\nevent:message_stop\ndata:{\"type\":\"message_stop\"}\n\n"
+        "body": "event:ping\ndata:{\"type\":\"ping\"}\n\nevent:message_start\ndata:{\"message\":{\"model\":\"qwen3.8-max\",\"id\":\"msg_0e8f1abf-f2bc-9a86-a6a7-14804ac17eac\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"usage\":{\"input_tokens\":45,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent:content_block_start\ndata:{\"type\":\"content_block_start\",\"content_block\":{\"name\":\"get_weather\",\"input\":{},\"id\":\"toolu_cf9cab33261f4709ae096d8a\",\"type\":\"tool_use\"},\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"partial_json\":\"\",\"type\":\"input_json_delta\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"partial_json\":\"{\\\"city\\\": \\\"Paris\",\"type\":\"input_json_delta\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"partial_json\":\"\\\"\",\"type\":\"input_json_delta\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"partial_json\":\"}\",\"type\":\"input_json_delta\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_stop\ndata:{\"type\":\"content_block_stop\",\"index\":0}\n\nevent:message_delta\ndata:{\"delta\":{\"stop_reason\":\"end_turn\"},\"type\":\"message_delta\",\"usage\":{\"output_tokens\":19,\"cache_creation_input_tokens\":0,\"input_tokens\":288,\"cache_read_input_tokens\":0,\"prompt_tokens_details\":{\"cached_tokens\":0}}}\n\nevent:message_stop\ndata:{\"type\":\"message_stop\"}\n\n"
      }
    }
  ]
@@ -1,34 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "tags": [
-      "prefix:bedrock-converse-thinking-binding",
-      "provider:amazon-bedrock",
-      "protocol:bedrock-converse",
-      "reasoning"
-    ],
-    "name": "bedrock-converse-thinking-binding/accepts-the-default-binding-with-no-thinking-configured",
-    "recordedAt": "2026-09-28T23:09:14.527Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://bedrock-runtime.us-east-1.amazonaws.com/model/global.anthropic.claude-opus-5-5/converse-stream",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"modelId\":\"global.anthropic.claude-opus-5-5\",\"messages\":[{\"role\":\"user\",\"content\":[{\"text\":\"Say hello.\"}]}],\"system\":[{\"text\":\"Reply with the single word 'Hello'.\"}],\"inferenceConfig\":{\"maxTokens\":1024},\"additionalModelRequestFields\":{\"thinking\":{\"type\":\"adaptive\",\"block_binding\":{\"prefix_mismatch_behavior\":\"drop_block\"}},\"anthropic_beta\":[\"thinking-binding-controls-2026-08-01\"]}}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "application/vnd.amazon.eventstream"
-        },
-        "body": "AAAAoQAAAFKtAFmXCzpldmVudC10eXBlBwAMbWVzc2FnZVN0YXJ0DTpjb250ZW50LXR5cGUHABBhcHBsaWNhdGlvbi9qc29uDTptZXNzYWdlLXR5cGUHAAVldmVudHsicCI6ImFiY2RlZmdoaWprbG1ub3BxcnN0dXZ3eHl6QUJDREVGR0hJSiIsInJvbGUiOiJhc3Npc3RhbnQifUMJiXoAAAC8AAAAV0Ua/isLOmV2ZW50LXR5cGUHABFjb250ZW50QmxvY2tEZWx0YQ06Y29udGVudC10eXBlBwAQYXBwbGljYXRpb24vanNvbg06bWVzc2FnZS10eXBlBwAFZXZlbnR7ImNvbnRlbnRCbG9ja0luZGV4IjowLCJkZWx0YSI6eyJ0ZXh0IjoiSGVsbG8ifSwicCI6ImFiY2RlZmdoaWprbG1ub3BxcnN0dXZ3eHl6QUJDRCJ91Ic6iwAAALQAAABWAm2FfAs6ZXZlbnQtdHlwZQcAEGNvbnRlbnRCbG9ja1N0b3ANOmNvbnRlbnQtdHlwZQcAEGFwcGxpY2F0aW9uL2pzb24NOm1lc3NhZ2UtdHlwZQcABWV2ZW50eyJjb250ZW50QmxvY2tJbmRleCI6MCwicCI6ImFiY2RlZmdoaWprbG1ub3BxcnN0dXZ3eHl6QUJDREVGR0hJSktMTU5PUFFSU1RVViJ9qr7BagAAAIYAAABRR+j7OQs6ZXZlbnQtdHlwZQcAC21lc3NhZ2VTdG9wDTpjb250ZW50LXR5cGUHABBhcHBsaWNhdGlvbi9qc29uDTptZXNzYWdlLXR5cGUHAAVldmVudHsicCI6ImFiY2RlIiwic3RvcFJlYXNvbiI6ImVuZF90dXJuIn0pJ2GhAAABCAAAAE4PaiuaCzpldmVudC10eXBlBwAIbWV0YWRhdGENOmNvbnRlbnQtdHlwZQcAEGFwcGxpY2F0aW9uL2pzb24NOm1lc3NhZ2UtdHlwZQcABWV2ZW50eyJtZXRyaWNzIjp7ImxhdGVuY3lNcyI6MTI0OX0sInAiOiJhYmNkZWZnaGlqa2xtbm9wcXJzdHV2d3h5ekFCQ0RFRkdISUpLTE1OT1BRUlNUVVZXWFkiLCJ1c2FnZSI6eyJpbnB1dFRva2VucyI6MjgsIm91dHB1dFRva2VucyI6NSwic2VydmVyVG9vbFVzYWdlIjp7fSwidG90YWxUb2tlbnMiOjMzfX2s2SiQ",
-        "bodyEncoding": "base64"
-      }
-    }
-  ]
-}
@@ -2,16 +2,9 @@
  "version": 1,
  "metadata": {
    "model": "muse-spark-1.3",
-    "tags": [
-      "prefix:meta-messages",
-      "provider:meta",
-      "protocol:meta-messages",
-      "tool",
-      "tool-loop",
-      "reasoning"
-    ],
+    "tags": ["prefix:meta-messages", "provider:meta", "protocol:meta-messages", "tool", "tool-loop", "reasoning"],
    "name": "meta-messages/replays-encrypted-thinking-through-a-tool-loop",
-    "recordedAt": "2026-09-29T05:29:52.700Z"
+    "recordedAt": "2026-09-07T17:27:03.540Z"
  },
  "interactions": [
    {
@@ -22,14 +15,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"muse-spark-1.3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Look up the current weather in Paris using lookup_weather. After receiving the result, report Paris's weather in one short sentence.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"name\":\"lookup_weather\",\"description\":\"Look up current weather\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false},\"cache_control\":{\"type\":\"ephemeral\"}}],\"tool_choice\":{\"type\":\"auto\"},\"stream\":true,\"max_tokens\":1024,\"thinking\":{\"type\":\"adaptive\",\"display\":\"omitted\"},\"output_config\":{\"effort\":\"low\"}}"
+        "body": "{\"model\":\"muse-spark-1.3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Look up the current weather in Paris using lookup_weather. After receiving the result, report Paris's weather in one short sentence.\"}]}],\"tools\":[{\"name\":\"lookup_weather\",\"description\":\"Look up current weather\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"tool_choice\":{\"type\":\"auto\"},\"stream\":true,\"max_tokens\":1024,\"thinking\":{\"type\":\"adaptive\",\"display\":\"omitted\"},\"output_config\":{\"effort\":\"low\"}}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream"
        },
-        "body": "event: message_start\ndata: {\"message\":{\"content\":[],\"id\":\"msg_6abb4ccec3772e65cd44417d\",\"model\":\"muse-spark-1.3\",\"role\":\"assistant\",\"stop_reason\":null,\"stop_sequence\":null,\"type\":\"message\",\"usage\":{\"input_tokens\":0,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"data\":\"Q-PaDgFT_IXY3RXUUduHqe1_WSgTF5_gMh29lCBV6vhfXW34eU6nJO7gUfRPczMK4nZfQhrqQewRujwjtNKR69DHHqTP35Q0jDnuZ4GZX9qBZT1OH9JhcMl1FxvccpatEcuH2Nju9Rf12KFHAOm9eKK6wFiaZgEHcT1wPbRYVZVZ8VxLeKk-ED3wkmWFhUFJRLSgJguWBMvEMbtIUlAKsJ6qkUxClfQKMm3eft1yf9ajseT32eloGzBE48IhyXu6tpeUDs9UatFgZOHKtHmvtKsPqRw-ddbimLnMtdkexwa8xR7EVTVuwBezunqhssfYAdR4c4t6VDpACh2UL3LcVUF9b0reiwpUfdpYrwjpB3bTCWyzGjwvIwGeuoR6VrWHz5nqVbt3bBprJXqJ4IRLKAXFFlMhClkz0MFNPBufcXSdh9i9NjbNp5c8lXCSkhMfhYX9B9KbQKl3DxUCjEY_VZk0nQJwt9zQVwTzWPzl9fTkBWrdebpXCg-z4lPmU5GLyGY3MlF24eDoSfJfqibF1HHqztluSHi4XEulrwMh4dpZmLhlLxlFxwnC8LjY_Rg8uOyzeoCzsMj-R9WrZ6n9jLZrxJPVo17nFjsuSwt6zMRS9Cna6adGFso0jIKF4BNTcZXlVt0b_TWA9AY4xpGSaAQXKYRBdAZNzTK5hj-bvyfWVTBepTBKm7pAtJW2e05mVBFDqRwEr3kcKkMTRMEj8vztSX4sNjV7Sw6bDbPjb_uFeoaNkq1ua9N7ZkKsyLn80ysWQ6IL-B_AVM1toAI0bVVYQmHbRSz1MgybcT5vjK2TWfCgxBuqw1ARU3oEM1iWTvpuHkFDNGeZnT4IWc_z_vLtQVnqSlqXPtnAmJ0WJgvQGSBhojSa9QMxRz_l4LZHmXUtfdMdUHTbrZwbfoL6eIyZf43ah-sXILJWTX9wXuYqnaclwvuO3EFiDUioSIBxWvAj2HNe5HpzayuvJqneRAukiVynt9SOo79VcBKAFsHW_KhUz58KjndfvOFP7byXv_W6Xa00ve_3GEaCANjFIl7ratBEuFYtpbVTT7TGIyGmuPQTVnGe7CAcFiAvGSwoaMwqvdGheKxeR7_cZvSYREeUnL5mXev8-MKY6_AtddOanQhf9pshxAXrIUtVFqin5MGhL2j787niURU9-o_VhLgzaIqfjbfMKkzdZ3-ESyDloOeD3CwoAsD_AVIrQZQHYbpYzFYasH0VrItar07ItxWZt_sCehTOi7Jtk5G8e7fd1HtCWmrp2iArioSIp8aLOphI9lazM7taIpfF_y0EMt3x5ENSvhtEmSk4kCJQnNyRv21uHT4uD0XjdQJbHeoRhzHDxoLHUOqAX9fGBzMFO8ZsWJxl8ebiCJeJ9Jzzr9bXeUKH5cP2VymoXPs3AWBrTpw1WfADM5sjHDJLzw\",\"type\":\"redacted_thinking\"},\"index\":0,\"type\":\"content_block_start\"}\n\nevent: content_block_stop\ndata: {\"index\":0,\"type\":\"content_block_stop\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"text\":\"\",\"type\":\"text\"},\"index\":1,\"type\":\"content_block_start\"}\n\nevent: content_block_delta\ndata: {\"delta\":{\"text\":\"I'll look up the current weather in Paris.\",\"type\":\"text_delta\"},\"index\":1,\"type\":\"content_block_delta\"}\n\nevent: content_block_stop\ndata: {\"index\":1,\"type\":\"content_block_stop\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"id\":\"call_01a0eba40810714cbd0a8a84496badc7\",\"input\":{},\"name\":\"lookup_weather\",\"type\":\"tool_use\"},\"index\":2,\"type\":\"content_block_start\"}\n\nevent: content_block_delta\ndata: {\"delta\":{\"partial_json\":\"{\\\"city\\\":\\\"Paris\\\"}\",\"type\":\"input_json_delta\"},\"index\":2,\"type\":\"content_block_delta\"}\n\nevent: content_block_stop\ndata: {\"index\":2,\"type\":\"content_block_stop\"}\n\nevent: message_delta\ndata: {\"delta\":{\"stop_reason\":\"tool_use\",\"stop_sequence\":null},\"type\":\"message_delta\",\"usage\":{\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"input_tokens\":564,\"output_tokens\":97,\"output_tokens_details\":{\"thinking_tokens\":29}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
+        "body": "event: message_start\ndata: {\"message\":{\"content\":[],\"id\":\"msg_6a9ef3e5a96d9a155dd4463b\",\"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-PaDgGyJ4hIKk41uslnSV0PGvrTkwJ5D-t5skfjtkIt-ABXsehMcLKJJ8RJHRKW2-XhkpPrex0aOkIdqWl99vpCgtOHIFFaSc4b3oGxA8XDx4T_2aKANfYrR1DYwYzGe6ZZ-DQnU0bnpVUzCcXkghkLdyTcJr2p8cvVo1rymFpB0wZsbQRBhxCMR6PrY4i0aOTe8_waq_Po1a4l3YzKnzZIIvYP090o5kltv7MAwqChXjQeTJlKq7ECFa6HVeoTa43oiLmoD2Bzih0VfvBvQfbSh2uDypRM7-f65sp35-VuZfwsM33ZTvefzDbd8zd0D50I6wcybsj8gulDhWWpY7cxoN1Xasy-ImvisACGeppIN66maIFq5dMT2s8_CQ8a2EQ0hw9kwJaIiygZCdRofs-T1yaGWvnQxL6MpNh6SXux9T1ZfuexNrXOhz5cR3_s1euhq3-hI3GDCUDLAtkjiigSE3w6PExrwHTHnvkuAOTP0Lw7DH4NtKv-RFFeZaQOk_0Bi2EV43tR0Hq_chtEDiSpoezDjexPWfdZvhRIaO6PwyJaQ8jVOaLUr6bh6jQ3IM19lv6R7lY4Neno8fLxMwTbf7v7q02lfhOaZe3jR1fqOFUq8e4VXV76_rJBgzThqPNqO8OI_betgX5d2KMcwWAkaZjmrP3rxA7g5xp_Q7bkFiBaaTd3HbYIk_cKbtLOS6TIIphb4SX6ADA2qJ0zoo98P2NOceZODT2WrLjKCHl5dT6b9l2feH9m21pW576ULfKhVSMzuy0cmmWI7rv2P4q-2Fw2klsDVJAc6q22bFjfDgzhybKuhuM_p1SYb8aswNrgggV-cqHWDpF1FdVpL5fHMO74l1uD8Sj_9wuuD0asMQustuvsnYq2EdI0lLvONFMApWCU0s3QA8_P0Iyf0YoCZOm5QGnA7l3O5nAPkFF4kxLSsgRe9zuP6A4oKBDLN8EHwZ3pB4WZGWpUT12cJxplmT3_n8xKaMgaz13qs27uvUm3wMI1seyfpkMwUPHmt1ftpk9f_1OAg3fvQgIkWPTp6K9NzVzEry6SP7zbPfls8yn529Qrbki7ZM_oz3xEvDg367ZCe97eVnjiqRrYsYM2MmDsQq9lUwkgXb84kpK6a4pEzX9NDvhTqhw7RI6RL9E-2Ki4ciUfHv5LVTZ0rNweCo6SYXC11f8FCeObIW_Esr2mqYpORFS4SDMU-4I1HQfD9z6cPjL22APpv9a7Pp1phI8x_aQZkPU7LkyBWyVNDeusI7wq_LC0UgJ0vCAguKcAvN7gxwpCo5MEEZivRuYBldEMwRo4he2WQQke9KEokqREdlPF3Lvaav0fqPfXqhJyHAq8bYBHWdzMjDJ_dJwhdbLQ-iNLmrK5JNg2vPDglWSznBXbrSX4iyMFk1Ni2Y1SQUIOOxS_InIwCg\",\"type\":\"redacted_thinking\"},\"index\":0,\"type\":\"content_block_start\"}\n\nevent: content_block_stop\ndata: {\"index\":0,\"type\":\"content_block_stop\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"text\":\"\",\"type\":\"text\"},\"index\":1,\"type\":\"content_block_start\"}\n\nevent: content_block_delta\ndata: {\"delta\":{\"text\":\"I'll look up the current weather in Paris.\",\"type\":\"text_delta\"},\"index\":1,\"type\":\"content_block_delta\"}\n\nevent: content_block_stop\ndata: {\"index\":1,\"type\":\"content_block_stop\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"id\":\"call_01a07ce8bb767c109c12f0a202e2ac19\",\"input\":{},\"name\":\"lookup_weather\",\"type\":\"tool_use\"},\"index\":2,\"type\":\"content_block_start\"}\n\nevent: content_block_delta\ndata: {\"delta\":{\"partial_json\":\"{\\\"city\\\":\\\"Paris\\\"}\",\"type\":\"input_json_delta\"},\"index\":2,\"type\":\"content_block_delta\"}\n\nevent: content_block_stop\ndata: {\"index\":2,\"type\":\"content_block_stop\"}\n\nevent: message_delta\ndata: {\"delta\":{\"stop_reason\":\"tool_use\",\"stop_sequence\":null},\"type\":\"message_delta\",\"usage\":{\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":113,\"input_tokens\":451,\"output_tokens\":155,\"output_tokens_details\":{\"thinking_tokens\":87}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
      }
    },
    {
@@ -40,14 +33,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"muse-spark-1.3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Look up the current weather in Paris using lookup_weather. After receiving the result, report Paris's weather in one short sentence.\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"redacted_thinking\",\"data\":\"Q-PaDgFT_IXY3RXUUduHqe1_WSgTF5_gMh29lCBV6vhfXW34eU6nJO7gUfRPczMK4nZfQhrqQewRujwjtNKR69DHHqTP35Q0jDnuZ4GZX9qBZT1OH9JhcMl1FxvccpatEcuH2Nju9Rf12KFHAOm9eKK6wFiaZgEHcT1wPbRYVZVZ8VxLeKk-ED3wkmWFhUFJRLSgJguWBMvEMbtIUlAKsJ6qkUxClfQKMm3eft1yf9ajseT32eloGzBE48IhyXu6tpeUDs9UatFgZOHKtHmvtKsPqRw-ddbimLnMtdkexwa8xR7EVTVuwBezunqhssfYAdR4c4t6VDpACh2UL3LcVUF9b0reiwpUfdpYrwjpB3bTCWyzGjwvIwGeuoR6VrWHz5nqVbt3bBprJXqJ4IRLKAXFFlMhClkz0MFNPBufcXSdh9i9NjbNp5c8lXCSkhMfhYX9B9KbQKl3DxUCjEY_VZk0nQJwt9zQVwTzWPzl9fTkBWrdebpXCg-z4lPmU5GLyGY3MlF24eDoSfJfqibF1HHqztluSHi4XEulrwMh4dpZmLhlLxlFxwnC8LjY_Rg8uOyzeoCzsMj-R9WrZ6n9jLZrxJPVo17nFjsuSwt6zMRS9Cna6adGFso0jIKF4BNTcZXlVt0b_TWA9AY4xpGSaAQXKYRBdAZNzTK5hj-bvyfWVTBepTBKm7pAtJW2e05mVBFDqRwEr3kcKkMTRMEj8vztSX4sNjV7Sw6bDbPjb_uFeoaNkq1ua9N7ZkKsyLn80ysWQ6IL-B_AVM1toAI0bVVYQmHbRSz1MgybcT5vjK2TWfCgxBuqw1ARU3oEM1iWTvpuHkFDNGeZnT4IWc_z_vLtQVnqSlqXPtnAmJ0WJgvQGSBhojSa9QMxRz_l4LZHmXUtfdMdUHTbrZwbfoL6eIyZf43ah-sXILJWTX9wXuYqnaclwvuO3EFiDUioSIBxWvAj2HNe5HpzayuvJqneRAukiVynt9SOo79VcBKAFsHW_KhUz58KjndfvOFP7byXv_W6Xa00ve_3GEaCANjFIl7ratBEuFYtpbVTT7TGIyGmuPQTVnGe7CAcFiAvGSwoaMwqvdGheKxeR7_cZvSYREeUnL5mXev8-MKY6_AtddOanQhf9pshxAXrIUtVFqin5MGhL2j787niURU9-o_VhLgzaIqfjbfMKkzdZ3-ESyDloOeD3CwoAsD_AVIrQZQHYbpYzFYasH0VrItar07ItxWZt_sCehTOi7Jtk5G8e7fd1HtCWmrp2iArioSIp8aLOphI9lazM7taIpfF_y0EMt3x5ENSvhtEmSk4kCJQnNyRv21uHT4uD0XjdQJbHeoRhzHDxoLHUOqAX9fGBzMFO8ZsWJxl8ebiCJeJ9Jzzr9bXeUKH5cP2VymoXPs3AWBrTpw1WfADM5sjHDJLzw\"},{\"type\":\"text\",\"text\":\"I'll look up the current weather in Paris.\"},{\"type\":\"tool_use\",\"id\":\"call_01a0eba40810714cbd0a8a84496badc7\",\"name\":\"lookup_weather\",\"input\":{\"city\":\"Paris\"}}]},{\"role\":\"user\",\"content\":[{\"type\":\"tool_result\",\"tool_use_id\":\"call_01a0eba40810714cbd0a8a84496badc7\",\"content\":\"{\\\"condition\\\":\\\"sunny\\\"}\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"name\":\"lookup_weather\",\"description\":\"Look up current weather\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false},\"cache_control\":{\"type\":\"ephemeral\"}}],\"tool_choice\":{\"type\":\"none\"},\"stream\":true,\"max_tokens\":1024,\"thinking\":{\"type\":\"adaptive\",\"display\":\"omitted\"},\"output_config\":{\"effort\":\"low\"}}"
+        "body": "{\"model\":\"muse-spark-1.3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Look up the current weather in Paris using lookup_weather. After receiving the result, report Paris's weather in one short sentence.\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"redacted_thinking\",\"data\":\"Q-PaDgGyJ4hIKk41uslnSV0PGvrTkwJ5D-t5skfjtkIt-ABXsehMcLKJJ8RJHRKW2-XhkpPrex0aOkIdqWl99vpCgtOHIFFaSc4b3oGxA8XDx4T_2aKANfYrR1DYwYzGe6ZZ-DQnU0bnpVUzCcXkghkLdyTcJr2p8cvVo1rymFpB0wZsbQRBhxCMR6PrY4i0aOTe8_waq_Po1a4l3YzKnzZIIvYP090o5kltv7MAwqChXjQeTJlKq7ECFa6HVeoTa43oiLmoD2Bzih0VfvBvQfbSh2uDypRM7-f65sp35-VuZfwsM33ZTvefzDbd8zd0D50I6wcybsj8gulDhWWpY7cxoN1Xasy-ImvisACGeppIN66maIFq5dMT2s8_CQ8a2EQ0hw9kwJaIiygZCdRofs-T1yaGWvnQxL6MpNh6SXux9T1ZfuexNrXOhz5cR3_s1euhq3-hI3GDCUDLAtkjiigSE3w6PExrwHTHnvkuAOTP0Lw7DH4NtKv-RFFeZaQOk_0Bi2EV43tR0Hq_chtEDiSpoezDjexPWfdZvhRIaO6PwyJaQ8jVOaLUr6bh6jQ3IM19lv6R7lY4Neno8fLxMwTbf7v7q02lfhOaZe3jR1fqOFUq8e4VXV76_rJBgzThqPNqO8OI_betgX5d2KMcwWAkaZjmrP3rxA7g5xp_Q7bkFiBaaTd3HbYIk_cKbtLOS6TIIphb4SX6ADA2qJ0zoo98P2NOceZODT2WrLjKCHl5dT6b9l2feH9m21pW576ULfKhVSMzuy0cmmWI7rv2P4q-2Fw2klsDVJAc6q22bFjfDgzhybKuhuM_p1SYb8aswNrgggV-cqHWDpF1FdVpL5fHMO74l1uD8Sj_9wuuD0asMQustuvsnYq2EdI0lLvONFMApWCU0s3QA8_P0Iyf0YoCZOm5QGnA7l3O5nAPkFF4kxLSsgRe9zuP6A4oKBDLN8EHwZ3pB4WZGWpUT12cJxplmT3_n8xKaMgaz13qs27uvUm3wMI1seyfpkMwUPHmt1ftpk9f_1OAg3fvQgIkWPTp6K9NzVzEry6SP7zbPfls8yn529Qrbki7ZM_oz3xEvDg367ZCe97eVnjiqRrYsYM2MmDsQq9lUwkgXb84kpK6a4pEzX9NDvhTqhw7RI6RL9E-2Ki4ciUfHv5LVTZ0rNweCo6SYXC11f8FCeObIW_Esr2mqYpORFS4SDMU-4I1HQfD9z6cPjL22APpv9a7Pp1phI8x_aQZkPU7LkyBWyVNDeusI7wq_LC0UgJ0vCAguKcAvN7gxwpCo5MEEZivRuYBldEMwRo4he2WQQke9KEokqREdlPF3Lvaav0fqPfXqhJyHAq8bYBHWdzMjDJ_dJwhdbLQ-iNLmrK5JNg2vPDglWSznBXbrSX4iyMFk1Ni2Y1SQUIOOxS_InIwCg\"},{\"type\":\"text\",\"text\":\"I'll look up the current weather in Paris.\"},{\"type\":\"tool_use\",\"id\":\"call_01a07ce8bb767c109c12f0a202e2ac19\",\"name\":\"lookup_weather\",\"input\":{\"city\":\"Paris\"}}]},{\"role\":\"user\",\"content\":[{\"type\":\"tool_result\",\"tool_use_id\":\"call_01a07ce8bb767c109c12f0a202e2ac19\",\"content\":\"{\\\"condition\\\":\\\"sunny\\\"}\"}]}],\"tools\":[{\"name\":\"lookup_weather\",\"description\":\"Look up current weather\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"tool_choice\":{\"type\":\"none\"},\"stream\":true,\"max_tokens\":1024,\"thinking\":{\"type\":\"adaptive\",\"display\":\"omitted\"},\"output_config\":{\"effort\":\"low\"}}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream"
        },
-        "body": "event: message_start\ndata: {\"message\":{\"content\":[],\"id\":\"msg_6abb4cd0b3f15768e1ae4287\",\"model\":\"muse-spark-1.3\",\"role\":\"assistant\",\"stop_reason\":null,\"stop_sequence\":null,\"type\":\"message\",\"usage\":{\"input_tokens\":0,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"data\":\"Q-PaDgF70ZwJMdvZQh6urOFUjgHa2IrdJbBv8RFXDpivwOudmj9QoCi81uRWeArjn_7V2nNk6i6jlHMjN7ACeZUE-faBnl4bTI10Fs0w0SSgcdkMaume2hpXBrZB85wlEttQviz-Pc5EHhAzU5QFIrK83CQkhJENqcfY3NJW1-55JFqlXmWSFV0GtNp3clG7V0LR1Zaq54hqIUY5iwf1pB8VIXLxPca3LwXMGbQPgjOgj_WNKHEBGl6mIafeca1OlGuDrJPN9tWBhlfxJCkcRU0zl14NA8chEyr96N40KrPewjVAlWO3jSejy9V7PnglilNewhUXOEQ75w2tYiZDajBfz6iG_n27zD3uvgD3QQthdyeUhJqlBaX81zMIe39Ctfo-cX-62cKwE3_EHy_7SxkwY5Olbf_bwL4GGzR39MObZoyv8-ZU1kwwVuSLXuDFvIx6iaAMZ50U4xXYbOphAaw2rylql0_kiPlFS9V3Fr_Jvx4vplj-8xh9JI7Uu9t9O7ltECpN9Qfu32fqxzWy9-ZVIh15gzhyegNeICBOcz6b9s3CIFHnzRcU69Ru9-lbydKv7scII_2xxLd-wlHQDCXHXyTeTeZjbTRiul0u5J2m8gGefF-j0lVChJOh8F4vBltzYTFTiQoSP8KtL61VJOt6dLsxOQA0Rq4PR5Lcs2fAfJbKb7jYB23bmXvQQ1d76keuvq_yoSIhrSyxLvXRCxouoWttkI8QC0u7O5pZUIPVfiYMI-j3bbc63BFOu4wAGbckm8Txo-gAY8UYAAwMBX17SD5EcTR82njKmd1R0Y8XOJLiwZRlN0ou-syq8xhahVgd0VcyB1HKr1f9mbhJdqFkKGpWh9-SR6jT6fKCCFxeMA3caczpG5wP_q5SGgyUiK0GWYpHabjSeJWac-04TDOfqL4QwLEKuL4PjlINe9OZY1n1lPJa2_MS9YGt6qlgLe3uZSEBwHk-ul5_yRetU8bd7lYcwDtUHT6puEkdjqeYwYQ8XWkUjoYwvSIMB_2v_owa5p9gPzf5Fr_zWqG7pizrStNNHq1MjXQX8Pl4Z6e2LZ2NjItfjR1GKdErNEJWXyh0oHCQKD1fIOXl64lpQorAHUcKV2HZm_SkwV7kxvzAfhdeT9Fe3AXZmtPBS1m0ZMMYNMYsNKb813JnWu8LvNg_zgXLBWsiB-hl4kCk1NKVAsCoA0i8JUFnGGm_uQp6t06a5NQYEXvi5A0akZTacle4UTBflNdsIVR6tSaO_m49nnr-XYSIh3tEzfjOsXpFz5L_A9SBDdPSGpcMJrs00nl1wDpF78OKC8NhwkIx8ydwF5A-ecXf91SbgqzVgv2T-wzuziA1wjJbPsGzTxP_wULUc2P5-ftFAMpsiRHB_-7hq6ZGo3HwNWjK2DTTN_89u7RCjuErEVPXUv-2fQ\",\"type\":\"redacted_thinking\"},\"index\":0,\"type\":\"content_block_start\"}\n\nevent: content_block_stop\ndata: {\"index\":0,\"type\":\"content_block_stop\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"text\":\"\",\"type\":\"text\"},\"index\":1,\"type\":\"content_block_start\"}\n\nevent: content_block_delta\ndata: {\"delta\":{\"text\":\"It's sunny in Paris right now.\",\"type\":\"text_delta\"},\"index\":1,\"type\":\"content_block_delta\"}\n\nevent: content_block_stop\ndata: {\"index\":1,\"type\":\"content_block_stop\"}\n\nevent: message_delta\ndata: {\"delta\":{\"stop_reason\":\"end_turn\",\"stop_sequence\":null},\"type\":\"message_delta\",\"usage\":{\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"input_tokens\":152,\"output_tokens\":55,\"output_tokens_details\":{\"thinking_tokens\":38}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
+        "body": "event: message_start\ndata: {\"message\":{\"content\":[],\"id\":\"msg_6a9ef3e77f6ef36fdd8f4925\",\"model\":\"muse-spark-1.3\",\"role\":\"assistant\",\"stop_reason\":null,\"stop_sequence\":null,\"type\":\"message\",\"usage\":{\"input_tokens\":0,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"data\":\"Q-PaDgH-GUZkiqnb_seFaP70it_GxAEIUjt2BLllpyzfckiBOUVwr72xGQsSnj0y9aOhoaQ24A_HB0MHh4XWyYziVdRgq6lDPLHkJlmMzbusZxUZUx7D7B8kD8HrBbiTeIFbFlHaM9MiZW_PpYY9fpkdc7aeuX0mORdK8XTT3JPjvW1HPp4Qqp_iEOl9G2iM2Y6xno8SqeTcbc4EQs1LePaKrq86dBPmXBjkgQbYfvIw57o0SBEyelcudtnzJnaluOyOQdV2Ytk_r_xrYSCoBwgbf2KBCOFjdeQyruuwVZZ32JJdVOpWLw8eopUwAo2xYOZP0g8S8hTmOFvDKuzXipm1OoAXwD8Swm6ED3IIo0hHA5xSfMygDCee47nd-EpShNPamkCKodfX1QvePEJsIQK2iTgkh8IGUeEEne5dxgLuXvEAbeqGDvEy6T7IoSgZnc-KPtH6SoWM_kgc_eF_oN73Nxg2prMyCqTUNg5Qs2WLPjA9wSLmmnCoiDr1bYNIuQyn6adgv0-nZZXETJoRAHJBj65Asa8kbLyCYesb192178xCj2aBSdwyj-jc0i328sa9STS7mUSI7KvOt0Yi3kllLs1aSnHW-ogsUJUM7tTf83VO9fRRU_aW4H6qr4OAr8jbBKSD3bxE0AekDd24ZS-8YIjiP1tMOAPZ2JGQrNqbxnaeqhCZzD2nl-E8TMXaAJIk4L3oZtV80xJiUW7mLEf_jQBPAWhph4ujbkDaufGvNrl4FXyBJ-XpKMIA5z0jAYU2b3ul5-Qn5Km7Oc8fPu1M_0XGAOKG-pF9ppr4y-an4B4mKDYoAiSHp3cjv-fW57D87wBfQPaJRjOzWhzqENO-5MlB0CEsnDtrLveE2ui8wSECszParUNk5SEaeSYvrXLY0QkaE7CTK9ljwTKjJM34r1a8o16KFxGuzMrloNlxIYIaO_suM9CDuf8wNwe8KkAV2Kt28g9LwkL5b3mtI7ZSjTdHYOOhFFMzs-sjXboQoGAJGOhMnCQNc3E5-goSzvOzEIXehSTs8Mzyq8d3C2k5F9PSgdO6ZouHVURDgbEXTqWqoqjQ8huk5AbrUX16QwhJambd6P-3i--Idz9CbIVuWIqiMm80TvYlMttobYxTyFDIJrKJTrVA0PkAOFvOMfYt27d7z2ZMrTf6Vtm_DNniuhVbvVU3ZcWbb4LO-XkwH3bfHB-sckpwURP34KzOMvogaqWaMAZlabdd-lQKCc7tMhmo9BrYwHHvLxAELD2qQnyym43Yo1iJNAyrqoUAFk6K029fDon7h9ybmKZdBxRtS3arUesY_91Xep0tA0Y1UYUKo8zKjK3Op_DbVyC5OoR8rxpumKiqk2PtG7RPf-WjEXGkleGqZtxix7ILSkQXxW6McY1r_6LAh2Nv0nUzqS019tTb7mx2OLyt2g\",\"type\":\"redacted_thinking\"},\"index\":0,\"type\":\"content_block_start\"}\n\nevent: content_block_stop\ndata: {\"index\":0,\"type\":\"content_block_stop\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"text\":\"\",\"type\":\"text\"},\"index\":1,\"type\":\"content_block_start\"}\n\nevent: content_block_delta\ndata: {\"delta\":{\"text\":\"It's sunny in Paris.\",\"type\":\"text_delta\"},\"index\":1,\"type\":\"content_block_delta\"}\n\nevent: content_block_stop\ndata: {\"index\":1,\"type\":\"content_block_stop\"}\n\nevent: message_delta\ndata: {\"delta\":{\"stop_reason\":\"end_turn\",\"stop_sequence\":null},\"type\":\"message_delta\",\"usage\":{\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"input_tokens\":210,\"output_tokens\":50,\"output_tokens_details\":{\"thinking_tokens\":35}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
      }
    }
  ]
@@ -2,16 +2,9 @@
  "version": 1,
  "metadata": {
    "model": "muse-spark-1.3",
-    "tags": [
-      "prefix:meta-messages",
-      "provider:meta",
-      "protocol:meta-messages",
-      "text",
-      "reasoning",
-      "adaptive"
-    ],
+    "tags": ["prefix:meta-messages", "provider:meta", "protocol:meta-messages", "text", "reasoning", "adaptive"],
    "name": "meta-messages/streams-text-with-adaptive-thinking",
-    "recordedAt": "2026-09-29T05:29:46.263Z"
+    "recordedAt": "2026-09-07T17:26:18.565Z"
  },
  "interactions": [
    {
@@ -22,14 +15,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"muse-spark-1.3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"max_tokens\":2048,\"thinking\":{\"type\":\"adaptive\",\"display\":\"omitted\"},\"output_config\":{\"effort\":\"low\"}}"
+        "body": "{\"model\":\"muse-spark-1.3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}]}],\"stream\":true,\"max_tokens\":2048,\"thinking\":{\"type\":\"adaptive\",\"display\":\"omitted\"},\"output_config\":{\"effort\":\"low\"}}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream"
        },
-        "body": "event: message_start\ndata: {\"message\":{\"content\":[],\"id\":\"msg_6abb4cc8199fc8fa6763470e\",\"model\":\"muse-spark-1.3\",\"role\":\"assistant\",\"stop_reason\":null,\"stop_sequence\":null,\"type\":\"message\",\"usage\":{\"input_tokens\":0,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"data\":\"Q-PaDgEdq_xGJ7Hl5i3AUq-IGolHfh7VsPu8914OD3BSVMiPCf1QVZ4O553OKpiejFGIkjBEfR2gGxcXlTsKuK78wfAiGAft2yQIHPeCJt4Csoxc3UUX405gUHqO9M06WeU118pTrlITW4g4dElALKmE2zi_pkQzEvU07jPqsF4n-3-9FkEnJ3D5Ag0UsU4LI1Mn5-EwPyPkitspoB-ytXsugMGQTMMfInzNq0OKDDMAO88aRQv24EslYBviairfM5c-k6dqOdGfsg_SntRiZJVNoo1yowGhQuiMKXreeQiQj_hrSVEXo8PVybmaCXtfW0I_2rI7JKR1uO-fxUHZckcCvLKMS3Wa2cwPUM9MPAnq05l3lbD1LpqZ_UPlf534p8_0BmF4hVGI2pamDWkL--7UaWrGFYtwBc3r9GVW0aIZC1ArnGjXsInKCnJuJ-elKu8H0Wp8-lxrsEfqtmxCamrsil8jOkIMezwSMUGtawhcOSdOnyQRje2b3OXiRx7Y-XZjrBlErbS13tdMJhXGlVqp9tazXlKdIt9CpMfMxjYW-Z5VkrJNymsBcjW1r2x5DC2VzGcqcha91rBkskrhKGWix95cdaEqUkP66DW9jThk4RS__E_oyt8DMTpvCxoZ5pe_mLkuS-ZpYKFeZbRegegIQErP_yuhvPWCwTYZymW4uUTVEmxdJ1otAST4ICF4ChsbHLLzJc4XHO7TA5GcwEc69m-poLTFrJvuYRErYhHHONOGWZGoyaPXApsmytUW6-lH2OiVpViVrLg_qvDw1NwyTgguQfP1d6JJYTmnjgN-Pa9170lqGzMI1fVjsC9zY5e6qe6NiyOwpxbFoV-jfdzyfeKX5LMVacpj2xV6dk6dYW7zcIZ3rJJvCpnwJROCjKbSRa4RvBFWNW2xjiWi1tYltzsz1YR1RHZJEN8szlfJjdMrfJdR5GbOiiDMcwGgGNOF5kbQqLgkggzR-B4lUNGLvSyBjAd_AdLpab0r9j1XdKBPWLFiXfAtX8lPSfeCSV41LFxKopB-MIVOpgtrwW6dsEayU7_w4Tc1nBTtYOGf2cGUV2XYzEpt5vxzCDC-og8WZ2lr3hOczp543-_I8n2ZOQEEk1k3suykPiQen_wgcpRccm18Aqsjy2t3uitZ-p1p4g0s6tG6Y_DCS4ku713v9Uw2ezHosl4Qk5JVk-KNvi9ZCYb9Jmc7PqHubP6Ua_UTyIeTiBB60zK5EgatIglUv3_NudfsplEH8YJkMvoAPJk-HW7c2WwzoymfA4TFoCg8vt3YHGAtuiyqF17-S3sfhl9J6oX-7FFpGn6bRqgwguC6sHUQw3bqWtyG4LjUy3_qzWfCI5zSm1hxjd6YRaxkdlv37Ol3Ua-65b3gRmQoUlA7omPbHuC8r2TNnG_ltsp9EMJlz7HN-Gyggw\",\"type\":\"redacted_thinking\"},\"index\":0,\"type\":\"content_block_start\"}\n\nevent: content_block_stop\ndata: {\"index\":0,\"type\":\"content_block_stop\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"text\":\"\",\"type\":\"text\"},\"index\":1,\"type\":\"content_block_start\"}\n\nevent: content_block_delta\ndata: {\"delta\":{\"text\":\"37887\",\"type\":\"text_delta\"},\"index\":1,\"type\":\"content_block_delta\"}\n\nevent: content_block_stop\ndata: {\"index\":1,\"type\":\"content_block_stop\"}\n\nevent: message_delta\ndata: {\"delta\":{\"stop_reason\":\"end_turn\",\"stop_sequence\":null},\"type\":\"message_delta\",\"usage\":{\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"input_tokens\":23,\"output_tokens\":161,\"output_tokens_details\":{\"thinking_tokens\":149}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
+        "body": "event: message_start\ndata: {\"message\":{\"content\":[],\"id\":\"msg_6a9ef3b8e46a777cfdc94a93\",\"model\":\"muse-spark-1.3\",\"role\":\"assistant\",\"stop_reason\":null,\"stop_sequence\":null,\"type\":\"message\",\"usage\":{\"input_tokens\":0,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"data\":\"Q-PaDgFtwwNGqSqKxPk9Zj-j9xogYigpDsDHrLKPV-DxmXcbhtXDPrGPuj5qB4l1FslhuEQFCA8zIRyNGaCmzM0JG4GOZe3LpFYM2iegBbi24l4V7souryAwUs_7PrInxObuguMwh2S66ML6PwlfVRVTAwPsgDSCl6Y9tkoDHr2KBRY2fzJhmjkotuFRK2LYvNp9pKi89JxnoIKK8B_UJc_B2r4vU_Txq9_rWTmo2eXFoGOSMZNaHpVrvACRQKC1jc6-8Pj5JkJN11_Cs2fHqlaCwOoPDVJxHXUXP1AMHU1mG0jR4qf9wUaz8kMmyCBBijlfQJ4G7nsQs7LJO9gS2ropmynDoO5IEIAFf7ekxLw54Fx3JigC0_qz4Jx4a04Ey8JBzWRlZNdqggpq2_I_VoT3S0zhCYDp8ZAJQs2JqvvF-ZmLcMPH1PmpkgRySqXl5TDxERIpdL3aOUzTl-PTHVMIGEcSAz84fFwU4p1kS5llGEGC6jHlClscEEto1Y-qthL6BoeDALzk7GHEMVQD0bfC4E5yGCh0_xlWqsG3XPj0wpYKBc0hfh7vjO1NpzPxCtaDjnRwR6TzSo6x_HrEL3VELArHhpYAXl30fNO-EepduZ3Hd_kWqWj_GhdIM4dRh2zoytbhIesVD7OvBqU47urKFnpXw4kswJ-NoVVNk00ysMMHwobT9BdJL9UCoXlNzyErPe8LkA9f0VrKkuLCg5FDr_DCEYXHXr7fdRmC3JTKuzvxffvPYppUt3hs5gbdXWgT2iZzunt4bSfFne7BPkj9OGREyfLcukvGAh_oqPLXuu0lert9wbTAqRUTyM5Y1nSjw3h2B3jv91mH78mGvhy8LeVNLkrSMxEa4GtrrUvlzkPnZayc_LE2Sr7JnQjhwylVNWvkcIAjstOZShjPKe4pUJwj-cUXmXZB7Zwr-Q9WLtprFgQoBvadd5DHD4aynsYEabKZVcOqhV8l2zyaUCGobUzdPqBC5kk5-VPmNTqm6Qs91mb1y_5ydmHjTWmSW6qtN_op-Xfwqr_hllvOjhnAvvDJWUOKH-YIgZw_k_db2mzW1hO093jSDMYv6wpiy_5XWMNJBjcH8hvR_pFjXIqScUnKPranEZvCyGfHR-UBNJ89s_JEE49chcIt8LiukBeXQ_TOe29kzWnT1tYtfGQXP8FY2Wukw5yhvP3coGp1-LPZRuw3BLP2tWmiijmyj5lMikp8MIeqOztN8zgsArZ9jq21EtDSNfpO_0C4GEOtCZQYvZHRpDeY966XDnN7Blenn_8FZ95M-M-1My8hsmF__JrnY4ZFZr2274f_FbyJaSqGj6H-YRuzawO2TVLWHxAr6v2LCiB_QX01PwUI1yaJmP0mI-Qz5zXgSHzfVzhF7l1zEnM8qIYcSXzD1Gp3rjpn2sq-rR-JLqeHq080Hl0X9c8lzozw3qCpvcTfA-4ZTdXU9ax3nt7emcPVFo9N_JBjYashC7KvjkIWjMhQoTbIRlO18gjEa-Dvtsmo4_xE1ApYRoylbhxg3_fQJjKLfCBv32V6BM8qWKINL7d1nYP7PtAKnglCdnT_dK0_pCK6ejGfmdWZgVj0DhVZUCXf2kN530Y0hoCb1jBgwJ16a5gUqJMtnWScarIGSVrsYMA_uEt7DwQzGYAGESVIgi8JVATkxoq4EbyOLCHX7MIKmAPGV2WWTjWAWLnE2ITjlXtBkUAwjq2v957BMgIqxSNxEjG75Gd0i1XjZAujCSCXMrywZ72-VdQy4cD6kzH9mv04fZ7_dqn9eKPHBY7_T7V6myRDj_ImkffXcygmd7F-_-kHMExI6ABas1WtfDjkYgbRM0jMtIHYL-W9xT8vCSLSdvHcb5Y8XSXT5GTwI7eIlBHnCvFrgunbCo9bJJlT2Gc1RcgeZ4rg3yu1MNF4Mfk6DBwDhduGh5l7nypL00B0HokLfF4H7N1oSKL9jdVE3oMyJuA9NV1SJiyqcneSVHBzqjFZ5sszFXPlBKEz31izxFToAF4tDYMR507zYLcxyLA4AmHlkmn0qeozPb5qk-qZB6yLywtewv8O1KqxieAEJnEmyiqGnoKBdkjpeYmplErSxJyzoRX4fXb9mOdb-izJgvqSQ5uLm0_EXf3OklpMoAJ2CPJ6cxpg_5bhiwbgEtafCuDyXVL9Zzi872yUb_Z-ATlqU1M2Ai67f1piHIUDzMn4kulXQhPMb_R4eznMbX_aRigQh92-t1USoFtX2vmyCUQageFcrHHK524gPQ7rkOfDvZ8GHPXi3YZFnzGkSKjQD0jumFtzDiRqYkkMECep0zgY8MjuWLMjlMuigpkzSm8GPZ2aFeIMxJCYR8iMf7fH9NyHAJnicx4wdW_UqqgY5jfVtDvPSL0SRScyyK0jNdmofDHjWp4Tehih5OOw81E3BYLCiIv2p2zTMRSTZxFyG3HI91tIEaJu_RnIMFxzCilaP1LcbMrjyFzBtLJiXXJ--eFYyIMYKgfbWIOTsjLLJGC8NS2wuzaXB-C6GLsuSEHci5a8f5KGqaXK99LvHtY4k36WhEoVUjQEGY7HNJrtdjBUlqDgnT9iO06gGd2QCGvlP4us-Z3q2Bcyhf0LzOgn_Bpjc6YBk4TNF1AMxG15qmhnsrWcGElkpk3Vh9npC8--vkvhh7pOPfTZlNjQQh900OemY9gwxHyCBbt1096g4qkYOntGJmw-wVjyWxOt9K9CaM9WxY3wFyOmwqiFL1PK4CMeKMZk54iZ1ZiyXDOvsO7qUa9XQGDy3W8ic6R3DUzdkxEEBFYHAjDy3qE\",\"type\":\"redacted_thinking\"},\"index\":0,\"type\":\"content_block_start\"}\n\nevent: content_block_stop\ndata: {\"index\":0,\"type\":\"content_block_stop\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"text\":\"\",\"type\":\"text\"},\"index\":1,\"type\":\"content_block_start\"}\n\nevent: content_block_delta\ndata: {\"delta\":{\"text\":\"37887\",\"type\":\"text_delta\"},\"index\":1,\"type\":\"content_block_delta\"}\n\nevent: content_block_stop\ndata: {\"index\":1,\"type\":\"content_block_stop\"}\n\nevent: message_delta\ndata: {\"delta\":{\"stop_reason\":\"end_turn\",\"stop_sequence\":null},\"type\":\"message_delta\",\"usage\":{\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"input_tokens\":23,\"output_tokens\":266,\"output_tokens_details\":{\"thinking_tokens\":254}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
      }
    }
  ]
@@ -2,16 +2,9 @@
  "version": 1,
  "metadata": {
    "model": "muse-spark-1.3",
-    "tags": [
-      "prefix:meta-messages",
-      "provider:meta",
-      "protocol:meta-messages",
-      "text",
-      "reasoning",
-      "enabled"
-    ],
+    "tags": ["prefix:meta-messages", "provider:meta", "protocol:meta-messages", "text", "reasoning", "enabled"],
    "name": "meta-messages/streams-text-with-enabled-thinking",
-    "recordedAt": "2026-09-29T05:29:50.023Z"
+    "recordedAt": "2026-09-07T17:26:20.464Z"
  },
  "interactions": [
    {
@@ -22,14 +15,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"muse-spark-1.3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"max_tokens\":2048,\"thinking\":{\"type\":\"enabled\",\"budget_tokens\":1024,\"display\":\"omitted\"},\"output_config\":{\"effort\":\"low\"}}"
+        "body": "{\"model\":\"muse-spark-1.3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}]}],\"stream\":true,\"max_tokens\":2048,\"thinking\":{\"type\":\"enabled\",\"budget_tokens\":1024,\"display\":\"omitted\"},\"output_config\":{\"effort\":\"low\"}}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream"
        },
-        "body": "event: message_start\ndata: {\"message\":{\"content\":[],\"id\":\"msg_6abb4ccc0beea22bb95a41de\",\"model\":\"muse-spark-1.3\",\"role\":\"assistant\",\"stop_reason\":null,\"stop_sequence\":null,\"type\":\"message\",\"usage\":{\"input_tokens\":0,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"data\":\"Q-PaDgGoJiKtl-javJ6dY04Ws79OK_mVBNQgu19iuCSru9wUy0jS0-87v1Lr1jC3I6cI8gnBvTl3HcRgR8MqmTOddFg5f_QSqhUweOVsCzaNL18Bjkye_cK3jGmlc9IsGLJ8dGFvFMPwflkMcofmwZ1P0EsMivXgwsDsWuiHP3PAP6_DfKgpVnNoz1oxNXgoVMTaNylNHtKHXpeC4_doHgWONMjhca771bIh_x0sRT-mQlONkr6HHgzzpCftEGOgnELEC7DlmJ46CDe_VSuaiUk8VLeNV4xyNm4XBHoyFuEn2N4tmG6mxo3cQlN2er8lY39XmY5gqy4ZIJddoY4sVFxBfL-axfDDv89hAhTYgXxH4dj4MyAj5TPWdyVZwunw2dRwf9JobQW-HCGcPxW6rqE7znOAegWSLD-mKRGZXNp7-kTY5Wicv9toV-VsBIFc1YpHFRpw36pxZftd2JnbW38dNYH0fO_QYnCknHxE9RA68uFpu_JvvpHOO0sFAuqwOCMynQyqFZRY9vVJBMYnuB_RIY_WCEuZwt7hV9es1aPk2QJyAWFh-LnNDzp9ktLaNwnnJxRpEK1r0PMbUsIQJMuxcNH7lCstE2dGBf02O4lH4HlZSHNsLcZuUjb01HCISf7cQXzIjG6rO_47m52h6bMpYZITElM66XVlKRE5V3wF_7sQ2BaT4g8GLxxTkgh-C0x8ISPVaU773cDvJSuOI-5FlUbviG9oQG_0PxU5ulQDCMSEM4wZENu6ZRlngTloFSxHJfeQvShiy9pC9kv-DuOT1stUT4HqpV0bV7WGrJjlX9l17JbMgjMBwzhNWTJwGiuw2Ya2cCveYgSzxMZtcI_YH9mv0n53c2h7_1Lq2-kVDx_R5UngrMLu9YxjIwIgK_UtbtnTXJ-q5X4DexgovoBPjzc2GOQeK0DoOnfOczVLMALAkQMnyxCQ65ZuawVuJFmIKY9ooznuqWjl5mLxVCn5Fyhk2uTKjFlbW1JO-RdvNF9CMRD2y2bY2Igy4w9Gh1R_xAhM7rwF0dt_p2g8CUjqsEyIn9bSGuRuzXfkxNz7KYfyCD2rkZc1gw8oU7jiLEpNl5gCkcj7bNql7lcDYgJtGSDRwZlIzZcb7MaxFHyFw7dXGtrOIvLL5eF8TOidjaRaY27xkCCBkQXWeIiX0qV5AuojjrpRAJsVVvdT5s2dHd1IYHU0nnsePU1Dd7gyB59upU9W1AaFrXjx0pn4MsNuYDcyLyzihq1lCeK23OSoXkwH9UI-zaLkV6MGUf_K0jMJPr6FrMgYF1x_SpXYOKSXPHhY5UE3pGLIL5_vFCRkAkMcvpw-H3tyljgnCZwt3g-Yuy4Uj05MS3PseQxuUor-0trgRBaBW4AdB925t2D41RJ4xp3HnEpjEkNFJ8Hsqbs3QxyVoTAvElXOrQ\",\"type\":\"redacted_thinking\"},\"index\":0,\"type\":\"content_block_start\"}\n\nevent: content_block_stop\ndata: {\"index\":0,\"type\":\"content_block_stop\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"text\":\"\",\"type\":\"text\"},\"index\":1,\"type\":\"content_block_start\"}\n\nevent: content_block_delta\ndata: {\"delta\":{\"text\":\"37887\",\"type\":\"text_delta\"},\"index\":1,\"type\":\"content_block_delta\"}\n\nevent: content_block_stop\ndata: {\"index\":1,\"type\":\"content_block_stop\"}\n\nevent: message_delta\ndata: {\"delta\":{\"stop_reason\":\"end_turn\",\"stop_sequence\":null},\"type\":\"message_delta\",\"usage\":{\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"input_tokens\":23,\"output_tokens\":198,\"output_tokens_details\":{\"thinking_tokens\":186}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
+        "body": "event: message_start\ndata: {\"message\":{\"content\":[],\"id\":\"msg_6a9ef3bbb7e691b3ea26427b\",\"model\":\"muse-spark-1.3\",\"role\":\"assistant\",\"stop_reason\":null,\"stop_sequence\":null,\"type\":\"message\",\"usage\":{\"input_tokens\":0,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"data\":\"Q-PaDgEpowvGua1C8z2RSICyyeSLruZ1JBUhrhLhgqf_XauiaESRHyHgIPVF0Cfxp7eLB_ESNObq7vJNDLdffE-RaN5nEauXhRxH6fJErC-4H_KELZFGF-qNnGu2DWl-gEojkwwkq1HtTtT3rOEk5isGjdribnDvR7a1zkpG3I0BxE_UyseISDSbkev5tyV7DkiH4xyv2ZmwuO3HHGgmAztEek9vm0ZTElZ8PIPvHG6P38aYGTGKrTjyOhmN3LBa_NFvtQQkUMKRB3n7L_N5KB1NbYkPzLEJ6L5dL9DJZBSsZms0O62QZ2zs2oWZ-ekQWL4oIuiRozWVpmwzjtkJl9WXtyvdL-4MACucXMSN9V7hWzC50g-DgdeFPSslsA9gy619wTNPPIxPymGWeD9LYKR3iwTRLNYzuycHakNqikhiwz9MweMod5GLTdbtypZJcV7ourz58jmK4YKsqleVPVvXM6bIoNuT2yGj23-tAYxQszGXQMHxSTnaLAHl6sUdiwTqX4wbFYfX-ogkIZsrca9mv5E2gkH1wJl19GPCxFaSDCHxh3QAW0RIExKUJly9Ydpoegmojfo0F4Hjt13zDm03fLEQ0eY8GjxIIHDt_zVRQGTW8d4tgZpTt4K9H1TTefG34EerN7jl7L-WNUe_gKorN4aSYBS6S6ma4Vb91NlUQ4cEGBKVQvumYe16p9Xj6Te-tCuiBmTOCq6iDsTH-eMlip_Bc18MD2BCGr2NdF4PB2vqHGSPIvSHDRXBjoPNtm18opAsUnOBu7-tysb8-EKFd5z7JbWgegQWNs11FdX0uFtC-U9ROwbHLJ3IHk4m2UHc2USwi7v4Xe6FtnkJ0VCZTajFUTXW33lwO3UsHuqEbxVnU_Rzuj6Ryjb08bpXpJBjIEGf2wBS3_I78cuXKOChHu-evtnjezc77joRUP8_I8pWsQbQ6bHABD95p8q6ZdQpDr9XQALbVg3ZvD5_QgF59rIxkW9a2L78oQpu0O3UT7-jxNFe38-OXuEr3VTv7RzISu1zjvBZD0k9-2q-T9BAJmsK6oPajJQWKwHBYF3w6vbsQ8tRDdh2uerhlAIWU0YL92gPCmT3mR6HxSGjAx08t-gib_YrzvWn0oTfLNk_BNfAMpG7Mj2GYNbyTkd_tjNZ2fOwVKbygsoFIUEvh2B-xyHOYuhXfxzI8-Gt55FMGDLLKcHfgmOZAUz1xVkIdm6bcuRFuQppgTzYIr66GN6tsr9KxTN2GZ2NHCwexe0hSAGfKVyLr8QBxTDRlzubBqe-osgQJrJtS7uM1MuWK_8grkZrNsn6g3ami0JboEmM_Ct3gVhkXo6lhCCcjn1gnGX-HOLczT3Xty1wYkeayUpi9x326nrSmypxzbzCRS3bOaPvSoBCszri0uTfUnVQK5kTVuRD30fGxauPhA\",\"type\":\"redacted_thinking\"},\"index\":0,\"type\":\"content_block_start\"}\n\nevent: content_block_stop\ndata: {\"index\":0,\"type\":\"content_block_stop\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"text\":\"\",\"type\":\"text\"},\"index\":1,\"type\":\"content_block_start\"}\n\nevent: content_block_delta\ndata: {\"delta\":{\"text\":\"37887\",\"type\":\"text_delta\"},\"index\":1,\"type\":\"content_block_delta\"}\n\nevent: content_block_stop\ndata: {\"index\":1,\"type\":\"content_block_stop\"}\n\nevent: message_delta\ndata: {\"delta\":{\"stop_reason\":\"end_turn\",\"stop_sequence\":null},\"type\":\"message_delta\",\"usage\":{\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"input_tokens\":23,\"output_tokens\":143,\"output_tokens_details\":{\"thinking_tokens\":131}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
      }
    }
  ]
@@ -11,7 +11,7 @@
      "reasoning"
    ],
    "name": "minimax-messages/m2-7-streams-default-thinking",
-    "recordedAt": "2026-09-29T05:27:50.902Z"
+    "recordedAt": "2026-09-07T16:53:20.721Z"
  },
  "interactions": [
    {
@@ -22,14 +22,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"MiniMax-M2.7\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"max_tokens\":1536}"
+        "body": "{\"model\":\"MiniMax-M2.7\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}]}],\"stream\":true,\"max_tokens\":1536}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream; charset=utf-8"
        },
-        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"419c5ecf093decc95250bc4cc3afce52\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M2.7\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":0,\"output_tokens\":0,\"cache_creation_input_tokens\":21,\"cache_read_input_tokens\":36}}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"thinking\",\"thinking\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"The user\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" asks: \\\"What is 173 multiplied by 219? Reply with only the final integer.\\\"\\n\\nWe need to calculate 173 * 219 = ?\\n\\nLet's compute.\\n\\n173 *\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" 219:\\n\\nOption 1: compute 173 * 200 = 34,600 (actually 173*200 = 34,600\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"? Wait 173 * 200 = 34,600? Let's check: 173 * 2 = 346, then times 100 = 34,600. Yes\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\".)\\n\\n173 * 19 = 173 * 20 - 173 = 3,460 - 173 = 3\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\",287.\\n\\nAdd them: 34,600 + 3,287 = 37,887.\\n\\nThus product is 37,887.\\n\\nAlternatively, compute \"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"219 * 173: 219*100 = 21,900; 219*70 = 15,330; 219*3 = 657\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"; sum = 21,900 + 15,330 = 37,230; +657 = 37,887. Same.\\n\\nThus answer: 378\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"87.\\n\\nThe user wants only the final integer. So reply \\\"37887\\\". No other text.\\n\\nThus final answer: 37887.\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"signature_delta\",\"signature\":\"48b0f683a3fb6cfc2e060ff709c12a905c76d2e5bdddc709fb5b1cfc5aa600f7\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":1,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"text_delta\",\"text\":\"37887\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":1}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"},\"usage\":{\"input_tokens\":0,\"output_tokens\":259,\"cache_creation_input_tokens\":21,\"cache_read_input_tokens\":36,\"output_tokens_details\":{\"thinking_tokens\":256}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
+        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"bd0c49bb4f5e6f26b77bab9b5a917484\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M2.7\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":57,\"output_tokens\":0}}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"thinking\",\"thinking\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"The user\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" asks: \\\"What is 173 multiplied by 219? Reply with only the final integer.\\\" So we compute 173 * 219. Compute:\\n\\n173 * 219 = \"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"173 * (200 + 19) = 173*200 + 173*19 = 34600 + (173*19). 173*19 = 173*20\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" - 173 = 3460 - 173 = 3287. So total = 34600 + 3287 = 37887.\\n\\nAlternatively compute directly: 219 * \"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"173 = 219 * 173 = (219 * 100) + (219 * 70) + (219 * 3) = 21900 + 15330 + 657\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" = 37887.\\n\\nThus answer is 37887. We must reply with only the final integer: \\\"37887\\\". No extra text.\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"signature_delta\",\"signature\":\"1625da2f905565076ee90b9c2919db39b1719731c0820eca2f2a1c9c28324e87\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":1,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"text_delta\",\"text\":\"37887\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":1}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"},\"usage\":{\"input_tokens\":57,\"output_tokens\":187,\"output_tokens_details\":{\"thinking_tokens\":184}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
      }
    }
  ]
@@ -13,7 +13,7 @@
      "usage"
    ],
    "name": "minimax-messages/m3-continues-a-tool-loop-with-adaptive-thinking",
-    "recordedAt": "2026-09-29T05:27:53.421Z"
+    "recordedAt": "2026-09-07T16:53:25.185Z"
  },
  "interactions": [
    {
@@ -24,14 +24,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"MiniMax-M3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Look up the current weather in Paris using get_weather before answering. After receiving the result, report the weather in one short sentence.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false},\"cache_control\":{\"type\":\"ephemeral\"}}],\"tool_choice\":{\"type\":\"auto\"},\"stream\":true,\"max_tokens\":1536,\"thinking\":{\"type\":\"adaptive\"}}"
+        "body": "{\"model\":\"MiniMax-M3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Look up the current weather in Paris using get_weather before answering. After receiving the result, report the weather in one short sentence.\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"tool_choice\":{\"type\":\"auto\"},\"stream\":true,\"max_tokens\":1536,\"thinking\":{\"type\":\"adaptive\"}}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream; charset=utf-8"
        },
-        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"6e8c4645c02dd05c2f08c22e5eba9a89\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":0,\"output_tokens\":0,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"thinking\",\"thinking\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"The user wants me\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" to look up the\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" current weather in Paris\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" using the get_\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"weather tool, then\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" report the weather in\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" one short sentence after\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" receiving the result.\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" Let\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" me call the tool\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\".\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"signature_delta\",\"signature\":\"61f13458806572210eb8e1809b12f191297eea1a7f0104aa12f86595ef5eb1dc\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":1,\"content_block\":{\"type\":\"tool_use\",\"id\":\"call_01a0eba239b7718ba67e5aa3\",\"name\":\"get_weather\",\"input\":{}}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"{\\\"city\\\":\\\"Paris\\\"}\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":1}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"tool_use\"},\"usage\":{\"input_tokens\":239,\"output_tokens\":68,\"cache_read_input_tokens\":203,\"service_tier\":\"standard\",\"output_tokens_details\":{\"thinking_tokens\":38}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
+        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"6a532037868639a6189e7c0b9e1c9aa2\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":0,\"output_tokens\":0,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"thinking\",\"thinking\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"The user wants me\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" to look up the\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" current weather in Paris\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" using the get_\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"weather tool, then\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" report it\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" in one short sentence\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\". Let\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" me call the tool\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\".\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"signature_delta\",\"signature\":\"f05cb5f4873950f23d194289c41d79b96ebd37c9411a45b306ed44f135a910d4\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":1,\"content_block\":{\"type\":\"tool_use\",\"id\":\"call_01a07cc9f2d47d83a6424ff3\",\"name\":\"get_weather\",\"input\":{}}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"{\\\"city\\\":\\\"Paris\\\"}\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":1}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"tool_use\"},\"usage\":{\"input_tokens\":239,\"output_tokens\":63,\"cache_read_input_tokens\":203,\"service_tier\":\"standard\",\"output_tokens_details\":{\"thinking_tokens\":33}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
      }
    },
    {
@@ -42,14 +42,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"MiniMax-M3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Look up the current weather in Paris using get_weather before answering. After receiving the result, report the weather in one short sentence.\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"The user wants me to look up the current weather in Paris using the get_weather tool, then report the weather in one short sentence after receiving the result. Let me call the tool.\",\"signature\":\"61f13458806572210eb8e1809b12f191297eea1a7f0104aa12f86595ef5eb1dc\"},{\"type\":\"tool_use\",\"id\":\"call_01a0eba239b7718ba67e5aa3\",\"name\":\"get_weather\",\"input\":{\"city\":\"Paris\"}}]},{\"role\":\"user\",\"content\":[{\"type\":\"tool_result\",\"tool_use_id\":\"call_01a0eba239b7718ba67e5aa3\",\"content\":\"{\\\"condition\\\":\\\"sunny\\\",\\\"temperature\\\":\\\"18C\\\"}\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false},\"cache_control\":{\"type\":\"ephemeral\"}}],\"tool_choice\":{\"type\":\"none\"},\"stream\":true,\"max_tokens\":1536,\"thinking\":{\"type\":\"adaptive\"}}"
+        "body": "{\"model\":\"MiniMax-M3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Look up the current weather in Paris using get_weather before answering. After receiving the result, report the weather in one short sentence.\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"The user wants me to look up the current weather in Paris using the get_weather tool, then report it in one short sentence. Let me call the tool.\",\"signature\":\"f05cb5f4873950f23d194289c41d79b96ebd37c9411a45b306ed44f135a910d4\"},{\"type\":\"tool_use\",\"id\":\"call_01a07cc9f2d47d83a6424ff3\",\"name\":\"get_weather\",\"input\":{\"city\":\"Paris\"}}]},{\"role\":\"user\",\"content\":[{\"type\":\"tool_result\",\"tool_use_id\":\"call_01a07cc9f2d47d83a6424ff3\",\"content\":\"{\\\"condition\\\":\\\"sunny\\\",\\\"temperature\\\":\\\"18C\\\"}\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"tool_choice\":{\"type\":\"none\"},\"stream\":true,\"max_tokens\":1536,\"thinking\":{\"type\":\"adaptive\"}}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream; charset=utf-8"
        },
-        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"0f6a842fc54eecab0d6df9ffebd8dd3b\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":0,\"output_tokens\":0,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"thinking\",\"thinking\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"The weather\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" in Paris is sunny\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" with a\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" temperature of 18\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"°C. I'll\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" report this in one\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"short sentence.\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"signature_delta\",\"signature\":\"fefe2c0e5f3f0a0edc24b21d37c8b7fb12ed0755bd1898f71acc2325f1b35958\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":1,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"text_delta\",\"text\":\"It's\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"text_delta\",\"text\":\" currently\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"text_delta\",\"text\":\" sunny in\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"text_delta\",\"text\":\" Paris with a temperature\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"text_delta\",\"text\":\" of 18°C\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"text_delta\",\"text\":\".\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":1}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"},\"usage\":{\"input_tokens\":169,\"output_tokens\":38,\"cache_read_input_tokens\":128,\"service_tier\":\"standard\",\"output_tokens_details\":{\"thinking_tokens\":22}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
+        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"e9e7ea89f63eca1cd17a037aef28eed1\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":0,\"output_tokens\":0,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"The weather\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" in Paris is sunny\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" with\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" a\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" temperature of 18\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"°C.\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"},\"usage\":{\"input_tokens\":164,\"output_tokens\":16,\"cache_read_input_tokens\":128,\"service_tier\":\"standard\"}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
      }
    }
  ]
@@ -11,7 +11,7 @@
      "usage"
    ],
    "name": "minimax-messages/m3-generates-a-named-tool-call-with-default-thinking-off",
-    "recordedAt": "2026-09-29T05:27:51.660Z"
+    "recordedAt": "2026-09-07T16:53:24.366Z"
  },
  "interactions": [
    {
@@ -22,14 +22,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"MiniMax-M3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Use get_weather to look up the current weather in Paris.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false},\"cache_control\":{\"type\":\"ephemeral\"}}],\"tool_choice\":{\"type\":\"tool\",\"name\":\"get_weather\"},\"stream\":true,\"max_tokens\":512}"
+        "body": "{\"model\":\"MiniMax-M3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Use get_weather to look up the current weather in Paris.\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"tool_choice\":{\"type\":\"tool\",\"name\":\"get_weather\"},\"stream\":true,\"max_tokens\":512}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream; charset=utf-8"
        },
-        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"5f4a7ce22c5a82497fedc65028aa4825\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":0,\"output_tokens\":0,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"I'll\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" look\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" up the current weather\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" in Paris for you\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\".\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":1,\"content_block\":{\"type\":\"tool_use\",\"id\":\"call_01a0eba235fb7281a0f2ea2c\",\"name\":\"get_weather\",\"input\":{}}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"{\\\"city\\\":\\\"Paris\\\"}\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":1}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"tool_use\"},\"usage\":{\"input_tokens\":287,\"output_tokens\":39,\"cache_read_input_tokens\":128,\"service_tier\":\"standard\"}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
+        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"a60a8adb2eff7545f809b9df2689f1b8\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":0,\"output_tokens\":0,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"I'll\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" look\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" up the current weather\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" in Paris for you\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\".\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":1,\"content_block\":{\"type\":\"tool_use\",\"id\":\"call_b0246853f3c4432ea455cc99\",\"name\":\"get_weather\",\"input\":{}}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"{\\\"city\\\":\\\"Paris\\\"}\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":1}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"tool_use\"},\"usage\":{\"input_tokens\":401,\"output_tokens\":39,\"service_tier\":\"standard\"}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
      }
    }
  ]
@@ -11,7 +11,7 @@
      "thinking-off"
    ],
    "name": "minimax-messages/m3-streams-text-with-thinking-disabled",
-    "recordedAt": "2026-09-29T05:27:36.888Z"
+    "recordedAt": "2026-09-07T16:53:16.028Z"
  },
  "interactions": [
    {
@@ -22,14 +22,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"MiniMax-M3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"max_tokens\":1536,\"thinking\":{\"type\":\"disabled\"}}"
+        "body": "{\"model\":\"MiniMax-M3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}]}],\"stream\":true,\"max_tokens\":1536,\"thinking\":{\"type\":\"disabled\"}}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream; charset=utf-8"
        },
-        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"444066751666f2071c999bfd0b4c16b0\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":0,\"output_tokens\":0,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"378\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"87\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"},\"usage\":{\"input_tokens\":179,\"output_tokens\":3,\"service_tier\":\"standard\"}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
+        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"01664c047875a0f573c966467c8cccc1\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":0,\"output_tokens\":0,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"378\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"87\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"},\"usage\":{\"input_tokens\":51,\"output_tokens\":3,\"cache_read_input_tokens\":128,\"service_tier\":\"standard\"}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
      }
    }
  ]
@@ -2,16 +2,9 @@
  "version": 1,
  "metadata": {
    "model": "kimi-k3",
-    "tags": [
-      "prefix:moonshot-messages",
-      "provider:moonshot",
-      "protocol:messages",
-      "tool",
-      "tool-choice",
-      "usage"
-    ],
+    "tags": ["prefix:moonshot-messages", "provider:moonshot", "protocol:messages", "tool", "tool-choice", "usage"],
    "name": "moonshot-messages/k3-respects-tool-choice-required",
-    "recordedAt": "2026-09-29T05:28:21.798Z"
+    "recordedAt": "2026-09-07T20:37:07.770Z"
  },
  "interactions": [
    {
@@ -22,14 +15,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"kimi-k3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Use get_weather to look up the current weather in Paris.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false},\"cache_control\":{\"type\":\"ephemeral\"}}],\"tool_choice\":{\"type\":\"any\"},\"stream\":true,\"max_tokens\":4096,\"output_config\":{\"effort\":\"low\"}}"
+        "body": "{\"model\":\"kimi-k3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Use get_weather to look up the current weather in Paris.\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"tool_choice\":{\"type\":\"any\"},\"stream\":true,\"max_tokens\":4096,\"output_config\":{\"effort\":\"low\"}}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream"
        },
-        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"chatcmpl-c877bb3f-cb6b-9d0f-b91e-37849d7bff39\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"kimi-k3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":223,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"output_tokens\":0,\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"service_tier\":\"standard\",\"inference_geo\":\"not_available\",\"prompt_tokens\":223,\"cached_tokens\":0}}}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"thinking\",\"thinking\":\"\",\"signature\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"The\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" user explicitly\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" asks to use\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" get_weather for\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" Paris. Need call\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" the\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" tool. Do\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" that.\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":1,\"content_block\":{\"type\":\"tool_use\",\"id\":\"get_weather_0_7e180ea4\",\"name\":\"get_weather\",\"input\":{}}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"{\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"\\\"city\\\":\\\"Paris\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"\\\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"}\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":1}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"tool_use\",\"stop_sequence\":null},\"usage\":{\"input_tokens\":223,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"output_tokens\":73,\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"output_tokens_details\":{\"thinking_tokens\":20},\"prompt_tokens\":223,\"completion_tokens\":73,\"total_tokens\":296,\"cached_tokens\":0}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
+        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"chatcmpl-2f2e02780e8a031b1b1307171\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"kimi-k3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":223,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"output_tokens\":0,\"service_tier\":\"standard\",\"inference_geo\":\"not_available\",\"prompt_tokens\":223,\"cached_tokens\":0}}}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"thinking\",\"thinking\":\"\",\"signature\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"Need\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" use\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" get\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"_we\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"ather\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" for\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" Paris\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\".\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" Call\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" function\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\".\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" Then\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" final\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" summarize\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" result\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\".\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" Use\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" tool\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\".\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":1,\"content_block\":{\"type\":\"tool_use\",\"id\":\"get_weather_0\",\"name\":\"get_weather\",\"input\":{}}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"{\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"\\\"city\\\": \\\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"Paris\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"\\\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"}\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":1}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"tool_use\",\"stop_sequence\":null},\"usage\":{\"input_tokens\":0,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":223,\"output_tokens\":69,\"output_tokens_details\":{\"thinking_tokens\":19},\"prompt_tokens\":223,\"completion_tokens\":69,\"total_tokens\":292,\"cached_tokens\":223}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
      }
    }
  ]
@@ -1,54 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "model": "gemini-3.8-flash",
-    "tags": [
-      "prefix:openai-compatible-chat",
-      "provider:google",
-      "protocol:openai-chat",
-      "tool",
-      "tool-loop",
-      "continuation"
-    ],
-    "name": "gemini-parallel-tool-signatures",
-    "recordedAt": "2026-09-28T03:12:05.083Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://generativelanguage.googleapis.com/v1beta/openai/chat/completions",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"gemini-3.8-flash\",\"messages\":[{\"role\":\"system\",\"content\":\"Call get_weather for every requested city in parallel, then answer in one short sentence.\"},{\"role\":\"user\",\"content\":\"What is the weather in Paris and in Tokyo?\"}],\"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}}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
-        "body": "data: {\"choices\":[{\"delta\":{\"role\":\"assistant\",\"tool_calls\":[{\"extra_content\":{\"google\":{\"thought_signature\":\"ErYCCrMCAWkUfRNGh+/Zbc8YUSzk1yfWAfROcjA4HyF1x69jz6167w8zd4n6kZQQ5FDeBZ5HZMEbEkQ4ENOpzsQL8roCR6wONkhXpiduWrTD6XwbP8KGNkf6D1tX/JlBh7G5Cl+0rdjiSOl/mdY1lcjbkfyCRFs5T8odNWMG7WD3rCrXJDFQ/5QfOl+tqVTceKGz2yyXBhOhvsQDU33ulR9tHQJo/Fmx3HNyDdwvmyKUXm+kgqHsYZnkdv6y6xZwy9zBXGUO4QwxelMw3Rrc24Mp2rNbEDZS3YEeP72Jn/hIP5a8XWOx6+zop/4/CjYxxSfN/tJRY5d48NAKRNFzUN1Az8SvAs/N5X2I3/5ZMaDnQWW/BVdS9fm2KFYJ2baqtBiRRnJxMq4ELArkKjGZzHpd97XG8YjV6g==\"}},\"function\":{\"arguments\":\"{\\\"city\\\":\\\"Paris\\\"}\",\"name\":\"get_weather\"},\"id\":\"call_723181\",\"type\":\"function\"}]},\"index\":0}],\"created\":1790565123,\"id\":\"A9u5aoufBp3rz7IPke_3oAo\",\"model\":\"gemini-3.8-flash\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":16,\"prompt_tokens\":74,\"total_tokens\":132}}\n\ndata: {\"choices\":[{\"delta\":{\"role\":\"assistant\",\"tool_calls\":[{\"function\":{\"arguments\":\"{\\\"city\\\":\\\"Tokyo\\\"}\",\"name\":\"get_weather\"},\"id\":\"call_723184\",\"type\":\"function\"}]},\"index\":0}],\"created\":1790565123,\"id\":\"A9u5aoufBp3rz7IPke_3oAo\",\"model\":\"gemini-3.8-flash\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":32,\"prompt_tokens\":74,\"total_tokens\":148}}\n\ndata: {\"choices\":[{\"delta\":{\"role\":\"assistant\"},\"finish_reason\":\"stop\",\"index\":0}],\"created\":1790565124,\"id\":\"A9u5aoufBp3rz7IPke_3oAo\",\"model\":\"gemini-3.8-flash\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":32,\"prompt_tokens\":74,\"total_tokens\":148}}\n\ndata: [DONE]\n\n"
-      }
-    },
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://generativelanguage.googleapis.com/v1beta/openai/chat/completions",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"gemini-3.8-flash\",\"messages\":[{\"role\":\"system\",\"content\":\"Call get_weather for every requested city in parallel, then answer in one short sentence.\"},{\"role\":\"user\",\"content\":\"What is the weather in Paris and in Tokyo?\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_723181\",\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"arguments\":\"{\\\"city\\\":\\\"Paris\\\"}\"},\"extra_content\":{\"google\":{\"thought_signature\":\"ErYCCrMCAWkUfRNGh+/Zbc8YUSzk1yfWAfROcjA4HyF1x69jz6167w8zd4n6kZQQ5FDeBZ5HZMEbEkQ4ENOpzsQL8roCR6wONkhXpiduWrTD6XwbP8KGNkf6D1tX/JlBh7G5Cl+0rdjiSOl/mdY1lcjbkfyCRFs5T8odNWMG7WD3rCrXJDFQ/5QfOl+tqVTceKGz2yyXBhOhvsQDU33ulR9tHQJo/Fmx3HNyDdwvmyKUXm+kgqHsYZnkdv6y6xZwy9zBXGUO4QwxelMw3Rrc24Mp2rNbEDZS3YEeP72Jn/hIP5a8XWOx6+zop/4/CjYxxSfN/tJRY5d48NAKRNFzUN1Az8SvAs/N5X2I3/5ZMaDnQWW/BVdS9fm2KFYJ2baqtBiRRnJxMq4ELArkKjGZzHpd97XG8YjV6g==\"}}},{\"id\":\"call_723184\",\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"arguments\":\"{\\\"city\\\":\\\"Tokyo\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_723181\",\"content\":\"{\\\"temperature\\\":22,\\\"condition\\\":\\\"sunny\\\"}\"},{\"role\":\"tool\",\"tool_call_id\":\"call_723184\",\"content\":\"{\\\"temperature\\\":0,\\\"condition\\\":\\\"unknown\\\"}\"}],\"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}}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
-        "body": "data: {\"choices\":[{\"delta\":{\"content\":\"It is currently sunny and 22°C in Paris,\",\"role\":\"assistant\"},\"index\":0}],\"created\":1790565125,\"id\":\"BNu5auWeB-2fz7IPxY6l4QY\",\"model\":\"gemini-3.8-flash\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":13,\"prompt_tokens\":150,\"total_tokens\":226}}\n\ndata: {\"choices\":[{\"delta\":{\"content\":\" while Tokyo is 0°C.\",\"role\":\"assistant\"},\"index\":0}],\"created\":1790565125,\"id\":\"BNu5auWeB-2fz7IPxY6l4QY\",\"model\":\"gemini-3.8-flash\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":21,\"prompt_tokens\":150,\"total_tokens\":234}}\n\ndata: {\"choices\":[{\"delta\":{\"extra_content\":{\"google\":{\"thought_signature\":\"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\"}},\"role\":\"assistant\"},\"finish_reason\":\"stop\",\"index\":0}],\"created\":1790565125,\"id\":\"BNu5auWeB-2fz7IPxY6l4QY\",\"model\":\"gemini-3.8-flash\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":21,\"prompt_tokens\":192,\"total_tokens\":276}}\n\ndata: [DONE]\n\n"
-      }
-    }
-  ]
-}
@@ -4,7 +4,7 @@
    "model": "anthropic/claude-sonnet-4.6",
    "tags": ["prefix:openai-compatible-chat", "provider:openrouter", "protocol:openai-chat", "reasoning"],
    "name": "openrouter-reasoning",
-    "recordedAt": "2026-09-29T16:19:02.835Z"
+    "recordedAt": "2026-07-18T11:28:39.267Z"
  },
  "interactions": [
    {
@@ -15,14 +15,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"anthropic/claude-sonnet-4.6\",\"messages\":[{\"role\":\"system\",\"content\":[{\"type\":\"text\",\"text\":\"Think through the arithmetic, then reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]},{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219?\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"store\":false,\"max_completion_tokens\":1536,\"temperature\":0,\"usage\":{\"include\":true},\"reasoning\":{\"max_tokens\":1024}}"
+        "body": "{\"model\":\"anthropic/claude-sonnet-4.6\",\"messages\":[{\"role\":\"system\",\"content\":\"Think through the arithmetic, then reply with only the final integer.\"},{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219?\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"temperature\":0,\"reasoning\":{\"max_tokens\":1024},\"max_completion_tokens\":1536,\"store\":false,\"usage\":{\"include\":true}}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream"
        },
-        "body": "data: {\"id\":\"gen-1790698739-Acm5E9n2uVTO14sqrick\",\"object\":\"chat.completion.chunk\",\"created\":1790698739,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Claude Platform on AWS\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":\"173\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"173\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\n: OPENROUTER PROCESSING\n\ndata: {\"id\":\"gen-1790698739-Acm5E9n2uVTO14sqrick\",\"object\":\"chat.completion.chunk\",\"created\":1790698739,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Claude Platform on AWS\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":\" × 219\\n\\n173 × 200 = 34,600\\n173 × 19 = 173 × 20 - 173 = 3,460 - 173 = 3,287\\n\\n34,600 + 3,287 = 37,887\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\" × 219\\n\\n173 × 200 = 34,600\\n173 × 19 = 173 × 20 - 173 = 3,460 - 173 = 3,287\\n\\n34,600 + 3,287 = 37,887\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1790698739-Acm5E9n2uVTO14sqrick\",\"object\":\"chat.completion.chunk\",\"created\":1790698739,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Claude Platform on AWS\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"signature\":\"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.eyJlbmRwb2ludF9zbHVnIjoiYW50aHJvcGljL2NsYXVkZS00LjYtc29ubmV0LTIwMjYwMjE3fGNsYXVkZS1vbi1hd3MifQ\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1790698739-Acm5E9n2uVTO14sqrick\",\"object\":\"chat.completion.chunk\",\"created\":1790698739,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Claude Platform on AWS\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"37\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1790698739-Acm5E9n2uVTO14sqrick\",\"object\":\"chat.completion.chunk\",\"created\":1790698739,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Claude Platform on AWS\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"887\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1790698739-Acm5E9n2uVTO14sqrick\",\"object\":\"chat.completion.chunk\",\"created\":1790698739,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Claude Platform on AWS\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":null},\"finish_reason\":\"stop\",\"native_finish_reason\":\"end_turn\"}]}\n\ndata: {\"id\":\"gen-1790698739-Acm5E9n2uVTO14sqrick\",\"object\":\"chat.completion.chunk\",\"created\":1790698739,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Claude Platform on AWS\",\"service_tier\":\"default\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":\"stop\",\"native_finish_reason\":\"end_turn\"}],\"usage\":{\"prompt_tokens\":61,\"completion_tokens\":80,\"total_tokens\":141,\"cost\":0.001383,\"is_byok\":false,\"prompt_tokens_details\":{\"cached_tokens\":0,\"cache_write_tokens\":0,\"audio_tokens\":0,\"video_tokens\":0},\"cost_details\":{\"upstream_inference_cost\":0.001383,\"upstream_inference_prompt_cost\":0.000183,\"upstream_inference_completions_cost\":0.0012},\"completion_tokens_details\":{\"reasoning_tokens\":73,\"image_tokens\":0,\"audio_tokens\":0}}}\n\ndata: [DONE]\n\n"
+        "body": ": OPENROUTER PROCESSING\n\n: OPENROUTER PROCESSING\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":\"173\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"173\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\n: OPENROUTER PROCESSING\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":\" × 219\\n\\n173 × 200 = 34,600\\n173 × 19 = 173 × 20 - 173 = 3,460 - 173 = 3,287\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\" × 219\\n\\n173 × 200 = 34,600\\n173 × 19 = 173 × 20 - 173 = 3,460 - 173 = 3,287\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":\"\\n\\n34,600 + 3,287 = 37,887\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"\\n\\n34,600 + 3,287 = 37,887\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"signature\":\"EtgCCosBCA8YAipA0W4viH3kgBs43Cl5ewwVBPXTQElvzfbA2TLF4iSbKy9ZZDCSDjjAlF3Bs4ELEnP3vrrTuTioC6OB380lXQdyIDIRY2xhdWRlLXNvbm5ldC00LTY4AEIIdGhpbmtpbmdaJDRjMGYwNDZmLTI1ZmQtNDVmYi1iZmIzLWEwOGE4ZTI0OWNhNxIMMiUlJC3x/5p5PuTwGgwlc8eipZyoM94BHwMiMO45uQx/ymeOjbugi7RDVPZ4jZXSIiEbVi2CD7zPjAK5fFQoVGP1HD55v9CER823JCp6Dg5Xb7Lrk6NUd1XN2KTKrttK7mATE+IBrDTFmor/1cNeg+9gjIbxM/jn/6L5HPmh3/esEVu24Q0IGLZVoE7cTgGgxsrceKMD71Jp2XQgIWD8ltsPfWw3gSc4p+z18UuPN6LuR0mHHENTnClHrAPnOrxbDIl4ZwZgMX8YAQ==\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"37887\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":null},\"finish_reason\":\"stop\",\"native_finish_reason\":\"end_turn\"}]}\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"service_tier\":\"default\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":\"stop\",\"native_finish_reason\":\"end_turn\"}],\"usage\":{\"prompt_tokens\":61,\"completion_tokens\":80,\"total_tokens\":141,\"cost\":0.001383,\"is_byok\":false,\"prompt_tokens_details\":{\"cached_tokens\":0,\"cache_write_tokens\":0,\"audio_tokens\":0,\"video_tokens\":0},\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"cost_details\":{\"upstream_inference_cost\":0.001383,\"upstream_inference_prompt_cost\":0.000183,\"upstream_inference_completions_cost\":0.0012},\"completion_tokens_details\":{\"reasoning_tokens\":29,\"image_tokens\":0,\"audio_tokens\":0}}}\n\ndata: [DONE]\n\n"
      }
    }
  ]
@@ -1,6 +1,6 @@
 import { describe, expect, test } from "bun:test"
 import { isContextOverflow } from "../src/index.js"
-import { classifyProviderFailure, providerErrorMessage } from "../src/provider-error.js"
+import { classifyProviderFailure } from "../src/provider-error.js"

 describe("provider error classification", () => {
  test("classifies provider token limit messages as context overflow", () => {
@@ -355,32 +355,6 @@ describe("provider error rawBody classification", () => {
    }
  })

-  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",
@@ -396,42 +370,3 @@ describe("provider error rawBody classification", () => {
    ).toBe("QuotaExceeded")
  })
 })
-
-describe("provider error messages", () => {
-  test("reads messages from common error body layouts", () => {
-    expect(
-      [
-        '{"error":{"message":"Invalid API Key","type":"invalid_request_error"}}',
-        '{"code":"invalid-argument","error":"Incorrect API key provided."}',
-        '{"message":"1 validation error detected"}',
-        '{"Message":"Invalid API Key format: Must start with pre-defined prefix"}',
-        '{"type":"about:blank","title":"Gone","status":410,"detail":"The model has reached its end of life"}',
-        '{"result":null,"success":false,"errors":[{"code":10000,"message":"Authentication error"}]}',
-      ].map(providerErrorMessage),
-    ).toEqual([
-      "Invalid API Key",
-      "Incorrect API key provided.",
-      "1 validation error detected",
-      "Invalid API Key format: Must start with pre-defined prefix",
-      "The model has reached its end of life",
-      "Authentication error",
-    ])
-  })
-
-  test("prefers the nested error message over a top-level message", () => {
-    expect(providerErrorMessage('{"message":"Bad Request","error":{"message":"model not found"}}')).toBe(
-      "model not found",
-    )
-  })
-
-  test("ignores blank, non-string, and non-JSON messages", () => {
-    expect(
-      [
-        '{"error":{"message":"  "}}',
-        '{"message":{"detail":[{"msg":"too high"}]}}',
-        '{"errors":[]}',
-        "invalid parameter",
-      ].map(providerErrorMessage),
-    ).toEqual([undefined, undefined, undefined, undefined])
-  })
-})
@@ -300,9 +300,7 @@ describe("provider package entrypoints", () => {
    })

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

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

@@ -17,8 +17,6 @@ const record = (api: "chat" | "messages" | "responses") =>
  })

 for (const api of ["chat", "messages", "responses"] as const) {
-  // Preserve the request shape of Chat recordings made before explicit caching was enabled.
-  const cache = api === "chat" ? "none" : undefined
  const recorded = record(api)
  describe(`Alibaba ${api} capabilities`, () => {
    for (const enabled of [false, true]) {
@@ -29,7 +27,6 @@ for (const api of ["chat", "messages", "responses"] as const) {
          Effect.gen(function* () {
            const request = LLM.request({
              model: alibaba[api]("qwen3.7-plus"),
-              cache,
              providerOptions:
                api === "messages"
                  ? { thinking: { type: enabled ? "enabled" : "disabled", ...(enabled ? { budgetTokens: 1024 } : {}) } }
@@ -64,7 +61,6 @@ for (const api of ["chat", "messages", "responses"] as const) {
          const response = yield* LLMClient.generate(
            LLM.request({
              model: alibaba[api]("qwen3.8-flash"),
-              cache,
              providerOptions: api === "messages" ? { thinking: { type: "disabled" } } : { enableThinking: false },
              messages: [
                Message.user([
@@ -88,7 +84,6 @@ for (const api of ["chat", "messages", "responses"] as const) {
          const response = yield* LLMClient.generate(
            LLM.request({
              model: alibaba[api]("qwen3.8-max"),
-              cache,
              prompt: "Find the current weather in Paris.",
              providerOptions: api === "messages" ? { thinking: { type: "disabled" } } : { reasoningEffort: "none" },
              tools: [
@@ -123,7 +118,6 @@ record("chat").effect.with(
      const response = yield* LLMClient.generate(
        LLM.request({
          model: alibaba.chat("qwen3.8-max"),
-          cache: "none",
          prompt: 'Return a JSON object with one key "city" set to the capital city of France.',
          providerOptions: { reasoningEffort: "none", responseFormat: { type: "json_object" } },
          generation: { maxTokens: 1024 },
@@ -19,8 +19,6 @@ const weather = ToolDefinition.make({
 })

 for (const api of ["chat", "messages", "responses"] as const) {
-  // Preserve the request shape of Chat recordings made before explicit caching was enabled.
-  const cache = api === "chat" ? "none" : undefined
  const recorded = recordedTests({
    prefix: `alibaba-${api}`,
    provider: "alibaba",
@@ -39,7 +37,6 @@ for (const api of ["chat", "messages", "responses"] as const) {
          Effect.gen(function* () {
            const request = LLM.request({
              model: alibaba[api]("qwen3.8-max"),
-              cache,
              prompt: "What is 173 multiplied by 219? Reply with only the final integer.",
              providerOptions: api === "messages" ? { effort } : { reasoningEffort: effort },
              generation: { maxTokens: 4096 },
@@ -71,7 +68,6 @@ for (const api of ["chat", "messages", "responses"] as const) {
        Effect.gen(function* () {
          const request = LLM.request({
            model: alibaba[api]("qwen3.8-max"),
-            cache,
            providerOptions:
              api === "messages"
                ? { effort: "medium" }
@@ -1,103 +0,0 @@
-import { describe, expect } from "bun:test"
-import { Effect } from "effect"
-import { LLM, LLMRequest, Message } from "../../src/index.js"
-import { LLMClient } from "../../src/route.js"
-import { AmazonBedrock } from "../../src/providers.js"
-import { recordedTests } from "../recorded-test.js"
-
-const RECORDING_REGION = process.env.BEDROCK_RECORDING_REGION ?? "us-east-1"
-
-// Claude Opus 5.5 enforces the conversation-prefix check on Bedrock, so a changed system prompt is a real
-// mismatch. Override with BEDROCK_BINDING_MODEL_ID for another model that enforces it.
-const modelID = process.env.BEDROCK_BINDING_MODEL_ID ?? "global.anthropic.claude-opus-5-5"
-
-// Mirrors the "high" variant, so the recording covers the real overlay and default merge.
-const model = (blockBinding?: { readonly prefix_mismatch_behavior: string }) =>
-  AmazonBedrock.model(modelID, {
-    apiKey: process.env.AWS_BEARER_TOKEN_BEDROCK ?? "fixture",
-    region: RECORDING_REGION,
-    body: {
-      additionalModelRequestFields: {
-        thinking: { type: "adaptive", display: "summarized", ...(blockBinding ? { block_binding: blockBinding } : {}) },
-        output_config: { effort: "high" },
-      },
-    },
-  })
-
-const question = "How many positive integers below 5000 have exactly 12 positive divisors? Reply with the number only."
-
-const first = LLM.request({
-  id: "recorded_bedrock_thinking_binding_first",
-  model: model(),
-  system: "You are a concise assistant.",
-  prompt: question,
-  cache: "none",
-  generation: { maxTokens: 12_000 },
-})
-
-const recorded = recordedTests({
-  prefix: "bedrock-converse-thinking-binding",
-  provider: "amazon-bedrock",
-  protocol: "bedrock-converse",
-  requires: ["AWS_BEARER_TOKEN_BEDROCK"],
-})
-
-describe("Bedrock Converse thinking binding recorded", () => {
-  recorded.effect.with("accepts the default binding with no thinking configured", { tags: ["reasoning"] }, () =>
-    Effect.gen(function* () {
-      const response = yield* LLMClient.generate(
-        LLM.request({
-          id: "recorded_bedrock_thinking_binding_default",
-          model: AmazonBedrock.model(modelID, {
-            apiKey: process.env.AWS_BEARER_TOKEN_BEDROCK ?? "fixture",
-            region: RECORDING_REGION,
-          }),
-          system: "Reply with the single word 'Hello'.",
-          prompt: "Say hello.",
-          cache: "none",
-          generation: { maxTokens: 1_024 },
-        }),
-      )
-
-      expect(response.finishReason?.normalized).toBe("stop")
-      expect(response.text).toMatch(/hello/i)
-    }),
-  )
-
-  recorded.effect.with(
-    "keeps a session working after the system prompt changes",
-    { tags: ["reasoning"] },
-    () =>
-      Effect.gen(function* () {
-        const turn = yield* LLMClient.generate(first)
-        // The signed thinking block is what Bedrock binds to the first system prompt.
-        expect(turn.message.content.some((part) => part.type === "reasoning")).toBe(true)
-
-        // Replay the assistant turn under a different system prompt, as a prompt rebuild or compaction would.
-        const next = LLMRequest.update(first, {
-          id: "recorded_bedrock_thinking_binding_next",
-          system: [{ type: "text", text: "You are a concise assistant. Today is Monday." }],
-          messages: [
-            ...first.messages,
-            Message.assistant(turn.message.content),
-            Message.user("Now double it. Reply with the number only."),
-          ],
-        })
-
-        const bound = yield* LLMClient.generate(next)
-        expect(bound.finishReason?.normalized).toBe("stop")
-        expect(bound.text).toMatch(/\d/)
-
-        // The same replay is rejected when the caller asks for the default `error` behavior, proving the check is
-        // enforced and that the default `drop_block` is what let the request above through.
-        const rejected = yield* LLMClient.generate(
-          LLMRequest.update(next, {
-            id: "recorded_bedrock_thinking_binding_error",
-            model: model({ prefix_mismatch_behavior: "error" }),
-          }),
-        ).pipe(Effect.flip)
-        expect(rejected.message).toContain("bound to a different conversation")
-      }),
-    60_000,
-  )
-})
@@ -1,100 +0,0 @@
-import { describe, expect } from "bun:test"
-import { Effect } from "effect"
-import { GenerationOptions, LanguageModel, LLM } from "../../src/index.js"
-import { compileRequest } from "../../src/route/client.js"
-import { AmazonBedrock } from "../../src/providers.js"
-import { it } from "../lib/effect.js"
-
-const binding = { prefix_mismatch_behavior: "drop_block" }
-const beta = ["thinking-binding-controls-2026-08-01"]
-
-const bedrock = (id: string, settings: Parameters<typeof AmazonBedrock.model>[1] = {}) =>
-  AmazonBedrock.model(id, { baseURL: "https://bedrock-runtime.test", apiKey: "test-bearer", ...settings })
-
-const fields = (model: LanguageModel, generation?: GenerationOptions) =>
-  compileRequest(
-    LLM.request({ id: "req_1", model, system: "You are concise.", prompt: "Say hello.", cache: "none", generation }),
-  ).pipe(Effect.map((prepared) => prepared.body.additionalModelRequestFields))
-
-describe("Bedrock Converse thinking block binding", () => {
-  for (const id of [
-    "global.anthropic.claude-fable-5-1",
-    "us.anthropic.claude-fable-5-1-v1:0",
-    "anthropic.claude-fable-5.1",
-    "anthropic.claude-mythos-5-1",
-    "us.anthropic.claude-opus-5-5",
-    "global.anthropic.claude-sonnet-5-5",
-    "anthropic.claude-opus-6",
-  ]) {
-    it.effect(`defaults adaptive thinking to drop_block with the beta for ${id}`, () =>
-      Effect.gen(function* () {
-        expect(yield* fields(bedrock(id))).toEqual({
-          thinking: { type: "adaptive", block_binding: binding },
-          anthropic_beta: beta,
-        })
-      }),
-    )
-  }
-
-  for (const id of [
-    "global.anthropic.claude-opus-5",
-    "us.anthropic.claude-sonnet-5",
-    "global.anthropic.claude-fable-5",
-    "anthropic.claude-fable-5-v1:0",
-    "global.anthropic.claude-opus-4-8",
-    "us.anthropic.claude-opus-4-5-20251101-v1:0",
-    "us.anthropic.claude-haiku-4-5-20251001-v1:0",
-    "anthropic.claude-3-5-sonnet-20241022-v2:0",
-    "us.amazon.nova-2-lite-v1:0",
-  ]) {
-    it.effect(`leaves ${id} untouched`, () =>
-      Effect.gen(function* () {
-        expect(yield* fields(bedrock(id))).toBeUndefined()
-      }),
-    )
-  }
-
-  it.effect("binds a manual thinking budget and keeps top_k", () =>
-    Effect.gen(function* () {
-      expect(
-        yield* fields(
-          bedrock("global.anthropic.claude-fable-5-1", { thinking: { type: "enabled", budgetTokens: 4_000 } }),
-          GenerationOptions.make({ maxTokens: 64_000, topK: 40 }),
-        ),
-      ).toEqual({
-        top_k: 40,
-        thinking: { type: "enabled", budget_tokens: 4_000, block_binding: binding },
-        anthropic_beta: beta,
-      })
-    }),
-  )
-
-  it.effect("does not bind disabled thinking", () =>
-    Effect.gen(function* () {
-      expect(
-        yield* fields(
-          bedrock("global.anthropic.claude-fable-5-1", {
-            body: { additionalModelRequestFields: { thinking: { type: "disabled" } } },
-          }),
-        ),
-      ).toBeUndefined()
-    }),
-  )
-
-  it.effect("honors the compatibility override in both directions", () =>
-    Effect.gen(function* () {
-      const arn = "arn:aws:bedrock:us-east-1:123456789012:application-inference-profile/abc123"
-      expect(yield* fields(bedrock(arn))).toBeUndefined()
-      expect(
-        yield* fields(LanguageModel.update(bedrock(arn), { compatibility: { supportsThinkingBlockBinding: true } })),
-      ).toEqual({ thinking: { type: "adaptive", block_binding: binding }, anthropic_beta: beta })
-      expect(
-        yield* fields(
-          LanguageModel.update(bedrock("global.anthropic.claude-fable-5-1"), {
-            compatibility: { supportsThinkingBlockBinding: false },
-          }),
-        ),
-      ).toBeUndefined()
-    }),
-  )
-})
@@ -1301,11 +1301,11 @@ describe("Bedrock Converse route", () => {
          ),
        ),
      )
-      expect(response.events.filter((event) => event.type === "reasoning-delta")).toEqual([])
-      expect(response.events.find((event) => event.type === "reasoning-start")).toEqual({
-        type: "reasoning-start",
+      expect(response.events.filter((event) => event.type === "reasoning-delta" && event.text === "").at(-1)).toEqual({
+        type: "reasoning-delta",
        id: "reasoning-0",
-        providerMetadata: undefined,
+        text: "",
+        providerMetadata: { bedrock: { redactedData } },
      })
      expect(response.events.find((event) => event.type === "reasoning-end")).toEqual({
        type: "reasoning-end",
@@ -1383,13 +1383,6 @@ describe("Bedrock Converse route", () => {
        ),
      )

-      expect(response.events.filter((event) => event.type === "reasoning-delta")).toEqual([])
-      expect(response.events.find((event) => event.type === "reasoning-end")).toEqual({
-        type: "reasoning-end",
-        id: "reasoning-0",
-        providerMetadata: { bedrock: { redactedData: "AQID" } },
-        text: undefined,
-      })
      expect(response.message.content).toEqual([
        { type: "reasoning", text: "", providerMetadata: { bedrock: { redactedData: "AQID" } } },
      ])
@@ -92,6 +92,5 @@ const assertEvaluation = <Options extends EvaluationOptions>(
    expect(response.answers.refund.probability).toBeGreaterThan(0.5)
    expect(response.usage?.inputTokens).toBeGreaterThan(0)
    expect(response.usage?.outputTokens).toBeGreaterThan(0)
-    expect(response.answers.department.confidence).toBeGreaterThan(0)
-    expect(response.answers.urgency.confidence).toBeGreaterThan(0)
+    expect(response.providerMetadata?.[metadataKey]?.confidence).toBeDefined()
  })
@@ -1,68 +0,0 @@
-import { describe, expect } from "bun:test"
-import { Effect } from "effect"
-import { LLM, LLMEvent, LLMRequest, Message, ToolRuntime, toDefinitions } from "../../src/index.js"
-import * as OpenAICompatible from "../../src/providers/openai-compatible.js"
-import { LLMClient } from "../../src/route.js"
-import { compileRequest } from "../../src/route/client.js"
-import { recordedTests } from "../recorded-test.js"
-import { weatherRuntimeTool, weatherToolName } from "../recorded-scenarios.js"
-
-const model = OpenAICompatible.configure({
-  provider: "google",
-  baseURL: "https://generativelanguage.googleapis.com/v1beta/openai",
-  apiKey: process.env.GOOGLE_GENERATIVE_AI_API_KEY ?? "fixture",
-}).model("gemini-3.8-flash")
-
-const recorded = recordedTests({
-  prefix: "openai-compatible-chat",
-  provider: "google",
-  protocol: "openai-chat",
-  requires: ["GOOGLE_GENERATIVE_AI_API_KEY"],
-  tags: ["tool", "tool-loop", "continuation"],
-  metadata: { model: model.id },
-})
-
-describe("Gemini OpenAI-compatible Chat recorded", () => {
-  recorded.effect.with(
-    "replays thought signatures through a parallel tool loop",
-    { cassette: "openai-compatible-chat/gemini-parallel-tool-signatures" },
-    () =>
-      Effect.gen(function* () {
-        const tools = { [weatherToolName]: weatherRuntimeTool }
-        const request = LLM.request({
-          model,
-          system: "Call get_weather for every requested city in parallel, then answer in one short sentence.",
-          prompt: "What is the weather in Paris and in Tokyo?",
-          tools: toDefinitions(tools),
-          cache: "none",
-        })
-        const first = yield* LLMClient.generate(request)
-        const calls = first.events.filter(LLMEvent.is.toolCall)
-        expect(calls.map((call) => call.input)).toEqual([{ city: "Paris" }, { city: "Tokyo" }])
-        const extraContent = calls[0]?.providerMetadata?.google?.extraContent
-        expect(extraContent).toEqual({ google: { thought_signature: expect.any(String) } })
-
-        const results = yield* Effect.forEach(calls, (call) => ToolRuntime.dispatch(tools, call))
-        const continuation = LLMRequest.update(request, {
-          messages: [
-            ...request.messages,
-            first.message,
-            ...calls.map((call, index) =>
-              Message.tool({ id: call.id, name: call.name, result: results[index]!.result }),
-            ),
-          ],
-        })
-        const prepared = yield* compileRequest(continuation)
-        const assistant = prepared.body.messages.find((message) => message.role === "assistant")
-        expect(assistant?.role === "assistant" ? assistant.tool_calls?.[0]?.extra_content : undefined).toEqual(
-          extraContent,
-        )
-
-        const second = yield* LLMClient.generate(continuation)
-        expect(second.events.filter(LLMEvent.is.toolCall)).toHaveLength(0)
-        expect(second.text).toMatch(/Paris/)
-        expect(second.text).toMatch(/Tokyo/)
-      }),
-    60_000,
-  )
-})
@@ -33,12 +33,7 @@ it.effect("Meta selects Messages and lowers native search alongside ordinary fun
      output_config: { effort: "low" },
      tools: [
        { type: "web_search", name: "web_search", user_location: { type: "approximate", country: "US" } },
-        {
-          name: "lookup",
-          description: "Lookup",
-          input_schema: { type: "object" },
-          cache_control: { type: "ephemeral" },
-        },
+        { name: "lookup", description: "Lookup", input_schema: { type: "object" } },
      ],
    })
    const entrypoint = yield* Effect.promise(() => import("@opencode/ai/providers/meta/messages"))
@@ -303,8 +303,7 @@ describe("Mistral Chat", () => {
          fixedResponse(
            sseEvents(
              chunk({ content: [{ type: "thinking", thinking: [], marker: "empty" }] }),
-              chunk({ content: [{ type: "thinking", thinking: [{ type: "text", text: "Con" }] }] }),
-              chunk({ content: [{ type: "thinking", thinking: [{ type: "text", text: "sider" }], closed: true }] }),
+              chunk({ content: [{ type: "thinking", thinking: [{ type: "text", text: "Consider" }] }] }),
              chunk({ content: [{ type: "text", text: "Answer" }] }),
              chunk({}, "stop"),
            ),
@@ -314,11 +313,6 @@ describe("Mistral Chat", () => {

      expect(response.reasoning).toBe("Consider")
      expect(response.text).toBe("Answer")
-      expect(response.events.find(LLMEvent.is.reasoningStart)?.providerMetadata).toBeUndefined()
-      expect(response.events.filter(LLMEvent.is.reasoningDelta).map((event) => [event.text, event.providerMetadata])).toEqual([
-        ["Con", undefined],
-        ["sider", undefined],
-      ])
      expect(response.message.content).toEqual([
        {
          type: "reasoning",
@@ -327,12 +321,8 @@ describe("Mistral Chat", () => {
            mistral: {
              thinking: {
                type: "thinking",
-                thinking: [
-                  { type: "text", text: "Con" },
-                  { type: "text", text: "sider" },
-                ],
+                thinking: [{ type: "text", text: "Consider" }],
                marker: "empty",
-                closed: true,
              },
            },
          },
@@ -347,12 +337,8 @@ describe("Mistral Chat", () => {
          content: [
            {
              type: "thinking",
-              thinking: [
-                { type: "text", text: "Con" },
-                { type: "text", text: "sider" },
-              ],
+              thinking: [{ type: "text", text: "Consider" }],
              marker: "empty",
-              closed: true,
            },
            { type: "text", text: "Answer" },
          ],
@@ -371,8 +357,6 @@ describe("Mistral Chat", () => {
          ),
        ),
      )
-      expect(response.events.find(LLMEvent.is.reasoningStart)?.providerMetadata).toBeUndefined()
-      expect(response.events.filter(LLMEvent.is.reasoningDelta)).toEqual([])
      expect(response.message.content).toEqual([
        {
          type: "reasoning",
@@ -89,14 +89,7 @@ for (const item of cases) {

          const replay = yield* compileRequest(LLM.request({ model: item.model, messages: [response.message] }))
          expect(replay.body.messages).toMatchObject([
-            {
-              role: "assistant",
-              content:
-                item.model.route.id === "openrouter"
-                  ? [{ type: "text", text: response.text, cache_control: { type: "ephemeral" } }]
-                  : response.text,
-              reasoning: response.reasoning,
-            },
+            { role: "assistant", content: response.text, reasoning: response.reasoning },
          ])
          const replayDetails =
            replay.body.messages[0]?.role === "assistant" ? replay.body.messages[0].reasoning_details : undefined
@@ -472,45 +472,6 @@ describe("OpenAI Chat route", () => {
    }),
  )

-  it.effect("replays Gemini thought signatures as tool call extra content", () =>
-    Effect.gen(function* () {
-      const prepared = yield* compileRequest(
-        LLM.request({
-          model,
-          messages: [
-            Message.user("Weather in Paris and Tokyo?"),
-            Message.assistant([
-              ToolCallPart.make({
-                id: "call_1",
-                name: "lookup",
-                input: { city: "Paris" },
-                providerMetadata: { openai: { extraContent: { google: { thought_signature: "sig_1" } } } },
-              }),
-              ToolCallPart.make({ id: "call_2", name: "lookup", input: { city: "Tokyo" } }),
-            ]),
-            Message.tool({ id: "call_1", name: "lookup", result: "Sunny" }),
-            Message.tool({ id: "call_2", name: "lookup", result: "Rainy" }),
-          ],
-        }),
-      )
-
-      const assistant = prepared.body.messages[1]
-      expect(assistant?.role === "assistant" ? assistant.tool_calls : undefined).toEqual([
-        {
-          id: "call_1",
-          type: "function",
-          function: { name: "lookup", arguments: encodeJson({ city: "Paris" }) },
-          extra_content: { google: { thought_signature: "sig_1" } },
-        },
-        {
-          id: "call_2",
-          type: "function",
-          function: { name: "lookup", arguments: encodeJson({ city: "Tokyo" }) },
-        },
-      ])
-    }),
-  )
-
  it.effect("limits OpenAI and Azure Chat tool call IDs to 40 characters", () =>
    Effect.gen(function* () {
      const id = `call_${"a".repeat(48)}`
@@ -1844,78 +1805,6 @@ describe("OpenAI Chat route", () => {
    }),
  )

-  it.effect("preserves Gemini thought signatures on streamed parallel tool calls", () =>
-    Effect.gen(function* () {
-      // Gemini's OpenAI-compatible endpoint omits `index`, streams each call whole,
-      // and signs only the first call of a parallel batch.
-      const body = sseEvents(
-        deltaChunk({
-          role: "assistant",
-          tool_calls: [
-            {
-              extra_content: { google: { thought_signature: "sig_1" } },
-              id: "call_1",
-              type: "function",
-              function: { name: "lookup", arguments: '{"city":"Paris"}' },
-            },
-          ],
-        }),
-        deltaChunk({
-          role: "assistant",
-          tool_calls: [{ id: "call_2", type: "function", function: { name: "lookup", arguments: '{"city":"Tokyo"}' } }],
-        }),
-        deltaChunk({}, "stop"),
-      )
-      const response = yield* LLMClient.generate(
-        LLMRequest.update(request, {
-          tools: [ToolDefinition.make({ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } })],
-        }),
-      ).pipe(Effect.provide(fixedResponse(body)))
-
-      expect(response.events.filter(LLMEvent.is.toolCall)).toEqual([
-        {
-          type: "tool-call",
-          id: "call_1",
-          name: "lookup",
-          input: { city: "Paris" },
-          providerExecuted: undefined,
-          providerMetadata: { openai: { extraContent: { google: { thought_signature: "sig_1" } } } },
-        },
-        {
-          type: "tool-call",
-          id: "call_2",
-          name: "lookup",
-          input: { city: "Tokyo" },
-          providerExecuted: undefined,
-          providerMetadata: undefined,
-        },
-      ])
-    }),
-  )
-
-  it.effect("keeps extra content that arrives before the tool identity", () =>
-    Effect.gen(function* () {
-      const body = sseEvents(
-        deltaChunk({
-          tool_calls: [
-            { index: 0, extra_content: { google: { thought_signature: "sig_1" } }, function: { arguments: "{" } },
-          ],
-        }),
-        deltaChunk({ tool_calls: [{ index: 0, id: "call_1", function: { name: "lookup", arguments: "}" } }] }),
-        deltaChunk({}, "tool_calls"),
-      )
-      const response = yield* LLMClient.generate(
-        LLMRequest.update(request, {
-          tools: [ToolDefinition.make({ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } })],
-        }),
-      ).pipe(Effect.provide(fixedResponse(body)))
-
-      expect(response.events.filter(LLMEvent.is.toolCall).map((event) => event.providerMetadata)).toEqual([
-        { openai: { extraContent: { google: { thought_signature: "sig_1" } } } },
-      ])
-    }),
-  )
-
  it.effect("does not finalize streamed tool calls when content is filtered", () =>
    Effect.gen(function* () {
      const body = sseEvents(
@@ -4996,42 +4996,6 @@ describe("OpenAI Responses route", () => {
    }),
  )

-  it.effect("retains the token-sharing HTTP 429 body for retry hooks", () =>
-    Effect.gen(function* () {
-      const body = JSON.stringify({ error: { code: "subscription_sharing_usage_limit_exceeded", message: "Rate limit exceeded" } })
-      const error = yield* LLMClient.generate(request).pipe(
-        Effect.provide(
-          fixedResponse(body, { status: 429, headers: { "content-type": "application/json" } }),
-        ),
-        Effect.flip,
-      )
-
-      expect(error).toMatchObject({ reason: { _tag: "RateLimit", http: { status: 429 }, body } })
-    }),
-  )
-
-  it.effect("retains the token-sharing response.failed event for retry hooks", () =>
-    Effect.gen(function* () {
-      const error = yield* LLMClient.generate(request).pipe(
-        Effect.provide(
-          fixedResponse(
-            sseEvents({
-              type: "response.failed",
-              response: {
-                id: "resp_usage_limit",
-                error: { code: "subscription_sharing_usage_limit_exceeded", message: "Rate limit exceeded" },
-              },
-            }),
-          ),
-        ),
-        Effect.flip,
-      )
-
-      expect(error).toMatchObject({ reason: { _tag: "RateLimit" } })
-      expect(error.reason.body).toContain("subscription_sharing_usage_limit_exceeded")
-    }),
-  )
-
  it.effect("surfaces response.failed code when no nested message is present", () =>
    Effect.gen(function* () {
      const error = yield* LLMClient.generate(request).pipe(
@@ -32,125 +32,6 @@ describe("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.body.messages).toMatchObject([
-        {
-          role: "system",
-          content: [
-            { text: "Base agent", cache_control: { type: "ephemeral" } },
-            { text: "Model details" },
-            { text: "Project instructions", cache_control: { type: "ephemeral" } },
-          ],
-        },
-        { role: "user", content: [{ text: "Hello", cache_control: { type: "ephemeral" } }] },
-      ])
-      expect(prepared.body.messages[0]?.content).not.toContainEqual(
-        expect.objectContaining({ text: "Model details", cache_control: expect.anything() }),
-      )
-    }),
-  )
-
-  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.messages).toMatchObject([
-        { role: "system", content: [{ text: "Base agent", cache_control: { type: "ephemeral" } }] },
-        { 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(body.messages).toMatchObject([
-          { role: "system", content: "Base agent" },
-          { role: "user", content: "Hello" },
-        ])
-      })
-    }),
-  )
-
  it.effect("lowers the native cache policy to OpenRouter cache controls", () =>
    Effect.gen(function* () {
      const prepared = yield* compileRequest(
@@ -193,8 +74,6 @@ describe("OpenRouter", () => {
          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: {} },
@@ -211,17 +90,8 @@ describe("OpenRouter", () => {

      expect(prepared.body.messages).toMatchObject([
        { role: "user", content: "Call the tool" },
-        { role: "assistant", content: "Unmarked reply" },
-        { role: "user", content: "Call again" },
-        {
-          role: "assistant",
-          content: [{ type: "text", text: "Calling", cache_control: { type: "ephemeral" } }],
-          tool_calls: [{ id: "call_1", type: "function", function: { name: "lookup", arguments: "{}" } }],
-        },
-        {
-          role: "tool",
-          content: [{ type: "text", text: '"Done"', cache_control: { type: "ephemeral", ttl: "1h" } }],
-        },
+        { role: "assistant", content: "Calling", cache_control: { type: "ephemeral" } },
+        { role: "tool", content: '"Done"', cache_control: { type: "ephemeral", ttl: "1h" } },
      ])
    }),
  )
@@ -248,7 +118,7 @@ describe("OpenRouter", () => {
    }),
  )

-  it.effect("does not emit text cache markers on reasoning-only assistant messages", () =>
+  it.effect("preserves cache policy hints on reasoning-only assistant messages", () =>
    Effect.gen(function* () {
      const prepared = yield* compileRequest(
        LLM.request({
@@ -260,38 +130,8 @@ describe("OpenRouter", () => {

      expect(prepared.body.messages).toMatchObject([
        { role: "user", content: "Think" },
-        { role: "assistant", content: "" },
+        { role: "assistant", cache_control: { type: "ephemeral" } },
      ])
-      expect(prepared.body.messages[1]).not.toHaveProperty("cache_control")
-    }),
-  )
-
-  it.effect("counts wrapped system-update markers once so all four default breakpoints survive", () =>
-    Effect.gen(function* () {
-      const prepared = yield* compileRequest(
-        LLM.request({
-          model: OpenRouter.configure({ apiKey: "test-key" }).model("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" },
-          },
-        ],
-      })
    }),
  )

@@ -56,9 +56,7 @@ 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"])
    }),
@@ -300,14 +298,3 @@ 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")
-  }),
-)
@@ -1,6 +1,6 @@
 {
  "name": "@opencode/app",
-  "version": "2.0.20",
+  "version": "2.0.18",
  "description": "",
  "type": "module",
  "exports": {
@@ -1,23 +0,0 @@
-import { Button } from "@opencode/ui/button"
-import { useDialog } from "@opencode/ui/context/dialog"
-import { onMount } from "solid-js"
-import { DialogChatGPTUsageLimit } from "./chatgpt-usage-limit"
-
-function UsageLimitStory() {
-  const dialog = useDialog()
-  const open = () => dialog.show(() => <DialogChatGPTUsageLimit />)
-  onMount(open)
-
-  return (
-    <Button variant="neutral" onClick={open}>
-      Open ChatGPT usage limit
-    </Button>
-  )
-}
-
-export default {
-  title: "App/Dialogs/Connect Provider",
-  id: "app-dialog-chatgpt-usage-limit",
-}
-
-export const ChatGPTUsageLimit = { render: () => <UsageLimitStory /> }
@@ -1,48 +0,0 @@
-import { Button } from "@opencode/ui/button"
-import { useDialog } from "@opencode/ui/context/dialog"
-import { Dialog, DialogTitle } from "@opencode/ui/dialog"
-import { ProviderIcon } from "@opencode/ui/provider-icon"
-import { useLanguage } from "@/runtime/i18n/language"
-import { usePlatform } from "@/runtime/platform/platform"
-
-export function DialogChatGPTUsageLimit() {
-  const dialog = useDialog()
-  const language = useLanguage()
-  const platform = usePlatform()
-
-  return (
-    <Dialog fit containerClass="!w-[min(calc(100vw_-_32px),390px)] !rounded-xl">
-      <div class="flex w-full flex-col items-center px-8 pb-8 pt-9 text-center [font-family:var(--v2-font-family-sans)]">
-        <ProviderIcon id="openai" class="!size-12 text-v2-icon-icon-base" aria-hidden="true" />
-        <div class="mt-6 max-w-[270px] text-[20px] font-[530] leading-7 tracking-[-0.3px] text-v2-text-text-base">
-          <DialogTitle>
-            <bdi dir="auto">{language.t("provider.connect.chatgptUsageLimit.title")}</bdi>
-          </DialogTitle>
-        </div>
-        <p class="mt-3 text-[13px] leading-5 text-v2-text-text-muted">
-          <bdi dir="auto">{language.t("provider.connect.chatgptUsageLimit.description")}</bdi>
-        </p>
-        <Button
-          variant="contrast"
-          size="large"
-          class="mt-8 w-full"
-          autofocus
-          onClick={() => {
-            platform.openExternal("https://chatgpt.com/settings/usage")
-            dialog.close()
-          }}
-        >
-          {language.t("provider.connect.chatgptUsageLimit.manage")}
-        </Button>
-        <Button
-          variant="ghost"
-          size="large"
-          class="mt-2 w-full"
-          onClick={() => dialog.close()}
-        >
-          {language.t("provider.connect.chatgptUsageLimit.close")}
-        </Button>
-      </div>
-    </Dialog>
-  )
-}
@@ -1,23 +0,0 @@
-import { Button } from "@opencode/ui/button"
-import { useDialog } from "@opencode/ui/context/dialog"
-import { onMount } from "solid-js"
-import { DialogChatGPTPlanWelcome } from "./chatgpt-welcome"
-
-function WelcomeStory() {
-  const dialog = useDialog()
-  const open = () => dialog.show(() => <DialogChatGPTPlanWelcome />)
-  onMount(open)
-
-  return (
-    <Button variant="neutral" onClick={open}>
-      Open ChatGPT plan welcome
-    </Button>
-  )
-}
-
-export default {
-  title: "App/Dialogs/Connect Provider",
-  id: "app-dialog-chatgpt-welcome",
-}
-
-export const ChatGPTPlanWelcome = { render: () => <WelcomeStory /> }
@@ -1,37 +0,0 @@
-import { Button } from "@opencode/ui/button"
-import { useDialog } from "@opencode/ui/context/dialog"
-import { Dialog, DialogTitle } from "@opencode/ui/dialog"
-import { ProviderIcon } from "@opencode/ui/provider-icon"
-import { useLanguage } from "@/runtime/i18n/language"
-import { ExternalLink } from "@/runtime/platform/external-link"
-
-export function DialogChatGPTPlanWelcome() {
-  const dialog = useDialog()
-  const language = useLanguage()
-
-  return (
-    <Dialog fit containerClass="!w-[min(calc(100vw_-_32px),390px)] !rounded-xl">
-      <div class="flex w-full flex-col items-center px-8 pb-8 pt-9 text-center [font-family:var(--v2-font-family-sans)]">
-        <ProviderIcon id="openai" class="!size-12 text-v2-icon-icon-base" aria-hidden="true" />
-        <div class="mt-6 max-w-[270px] text-[20px] font-[530] leading-7 tracking-[-0.3px] text-v2-text-text-base">
-          <DialogTitle>
-            <bdi dir="auto">{language.t("provider.connect.chatgptWelcome.title")}</bdi>
-          </DialogTitle>
-        </div>
-        <p class="mt-3 text-[13px] leading-5 text-v2-text-text-muted">
-          <bdi dir="auto">{language.t("provider.connect.chatgptWelcome.description")}</bdi>
-        </p>
-        <ExternalLink
-          href="https://chatgpt.com/settings/usage"
-          dir="auto"
-          class="mt-1 rounded-sm text-[13px] leading-5 text-v2-text-text-muted underline-offset-2 hover:text-v2-text-text-base focus-visible:outline focus-visible:outline-2"
-        >
-          {language.t("provider.connect.chatgptWelcome.usage")}
-        </ExternalLink>
-        <Button variant="contrast" size="large" class="mt-8 w-full" autofocus onClick={() => dialog.close()}>
-          {language.t("provider.connect.chatgptWelcome.confirm")}
-        </Button>
-      </div>
-    </Dialog>
-  )
-}
@@ -39,9 +39,6 @@ import { OpenCodeLogo } from "@/providers/opencode-logo"
 import { decode64 } from "@/runtime/persistence/base64"
 import { SettingsList } from "@/settings/list"
 import { useTabs } from "@/shell/tabs/tabs"
-import { Persist, persisted } from "@/runtime/persistence/storage"
-import { Persistence } from "@/runtime/persistence/schema"
-import { Schema } from "effect"
 import {
  CONSOLE_INTEGRATION,
  CONSOLE_PROVIDERS,
@@ -51,7 +48,6 @@ import {
  type ProviderConnectMethod,
 } from "./controller"
 import { ConsoleAuthorization } from "./console"
-import { DialogChatGPTPlanWelcome } from "./chatgpt-welcome"
 import { authServerName, RemoteAuthNotice } from "./remote"
 import "./models.css"

@@ -85,15 +81,8 @@ export const DialogConnectProvider: Component<{
    completed: false,
    modelProvider: undefined as { id: string; name: string } | undefined,
    authorization: false,
-    chatgptWelcome: false,
  })
  const language = useLanguage()
-  const dialog = useDialog()
-  const [welcome, setWelcome, , welcomeReady] = persisted(
-    Persist.global("chatgpt-plan-welcome.v1"),
-    Persistence.struct({ seen: Schema.Boolean }),
-    { seen: false },
-  )
  const reset = controller.reset
  const back = { current: reset }
  const consoleSelected = () => CONSOLE_PROVIDERS.has(controller.selected() ?? "")
@@ -123,11 +112,7 @@ export const DialogConnectProvider: Component<{
              setBack={(handler) => (back.current = handler)}
              selection={props.selection}
              onDone={props.onDone ? () => setState("completed", true) : undefined}
-              onConnected={(methodID) => {
-                props.onConnected?.(provider)
-                if (provider === "openai" && methodID === "chatgpt-token-sharing")
-                  setState("chatgptWelcome", true)
-              }}
+              onConnected={() => props.onConnected?.(provider)}
              onFirstConnection={(provider) => setState("modelProvider", provider)}
              onAuthorization={(authorization) => setState("authorization", authorization)}
            />
@@ -151,16 +136,9 @@ export const DialogConnectProvider: Component<{
            : "!h-[min(calc(100vh_-_16px),512px)] !w-[min(calc(100vw_-_16px),640px)]"
      }
      onCloseAutoFocus={(event) => {
-        if (state.completed && props.onDone) {
-          event.preventDefault()
-          props.onDone()
-        }
-        if (!state.chatgptWelcome) return
-        void Promise.resolve(welcomeReady.promise).then(() => {
-          if (welcome.seen) return
-          setWelcome("seen", true)
-          void dialog.show(() => <DialogChatGPTPlanWelcome />)
-        })
+        if (!state.completed || !props.onDone) return
+        event.preventDefault()
+        props.onDone()
      }}
      class="[font-family:var(--v2-font-family-sans)] [&_[data-slot=dialog-header]]:!px-5 [&_[data-slot=dialog-header-title]]:!text-[15px] [&_[data-slot=dialog-header-title]]:!tracking-[-0.13px]"
      classList={{
@@ -376,7 +354,7 @@ function ProviderConnection(props: {
  setBack: (handler: () => void) => void
  selection?: ModelSelection
  onDone?: () => void
-  onConnected?: (methodID?: string) => void
+  onConnected?: () => void
  onFirstConnection: (provider: { id: string; name: string }) => void
  onAuthorization: (authorization: boolean) => void
 }) {
@@ -423,8 +401,7 @@ function ProviderConnection(props: {
    prepare: isConsole ? prepareConsoleCatalog : undefined,
    pollInterval: isConsole ? 500 : undefined,
    onComplete: () => {
-      const method = controller.currentMethod()
-      props.onConnected?.(method?.type === "oauth" ? method.id : undefined)
+      props.onConnected?.()
      // The picker only lists the newest model per family by default, which hides most of
      // what a new connection just unlocked. Show everything the connected integration offers.
      global.models.show(
@@ -1,78 +0,0 @@
-import { Button } from "@opencode/ui/button"
-import { createSignal } from "solid-js"
-import type { ModelSelection } from "./selection"
-import { ModelSelectorPopoverView } from "./select-dialog"
-
-const chatgpt = {
-  id: "gpt-5.6-sol",
-  providerID: "openai",
-  api: { id: "gpt-5.6-sol", url: "https://api.openai.com/v1", npm: "@opencode/ai/providers/openai" },
-  name: "GPT-5.6 Sol",
-  family: "gpt",
-  capabilities: {
-    temperature: true,
-    reasoning: true,
-    attachment: true,
-    toolcall: true,
-    input: { text: true, audio: false, image: true, video: false, pdf: false },
-    output: { text: true, audio: false, image: false, video: false, pdf: false },
-    interleaved: true,
-  },
-  cost: { input: 0, output: 0, cache: { read: 0, write: 0 } },
-  limit: { context: 400_000, output: 64_000 },
-  status: "active",
-  options: {},
-  headers: {},
-  release_date: "2026-09-01",
-  variants: {},
-  provider: {
-    id: "openai",
-    name: "OpenAI",
-    source: "custom",
-    env: [],
-    options: {},
-    models: {},
-  },
-  latest: true,
-} satisfies NonNullable<ReturnType<ModelSelection["current"]>>
-
-const models = [
-  chatgpt,
-  {
-    ...chatgpt,
-    id: "gpt-5.6-terra",
-    api: { ...chatgpt.api, id: "gpt-5.6-terra" },
-    name: "GPT-5.6 Terra",
-    latest: false,
-  },
-]
-
-function SelectorStory(props: { plan: boolean }) {
-  const [current, setCurrent] = createSignal(models[0].id)
-  return (
-    <div class="flex min-h-[280px] items-end justify-center">
-      <ModelSelectorPopoverView
-        trigger={(trigger) => (
-          <Button {...trigger} variant="ghost-muted">
-            {models.find((model) => model.id === current())?.name}
-          </Button>
-        )}
-        models={(search) => models.filter((model) => model.name.toLowerCase().includes(search.toLowerCase()))}
-        groups={(items) => [{ category: "openai", items }]}
-        current={`openai:${current()}`}
-        chatgptPlan={props.plan}
-        select={(item) => setCurrent(item.id)}
-        onManage={() => undefined}
-        onClose={() => undefined}
-      />
-    </div>
-  )
-}
-
-export default {
-  title: "App/Dialogs/Model Selector",
-  id: "app-dialog-model-selector",
-}
-
-export const ChatGPTPlan = { render: () => <SelectorStory plan /> }
-export const ApiKey = { render: () => <SelectorStory plan={false} /> }
@@ -15,16 +15,13 @@ import { Menu } from "@opencode/ui/menu"
 import { TextInput } from "@opencode/ui/text-input"
 import { ModelTooltip } from "./tooltip"
 import { useLanguage } from "@/runtime/i18n/language"
-import { ExternalLink } from "@/runtime/platform/external-link"
-import { useData } from "@/runtime/server/current"
-import { useWorkspaceLocation } from "@/workspaces/location"
 import { decode64 } from "@/runtime/persistence/base64"
 import { handleDocumentSearchKeydown } from "@/shell/commands/search-keydown"
 import { createMenuDismissController } from "@/shell/commands/menu-dismiss"
 import { createEventListener } from "@solid-primitives/event-listener"
 import { matchesModelSearch } from "./search"
 import { SettingsList } from "@/settings/list"
-import { CONSOLE_GROUP_KEY, consoleModelGroup, ProviderModelIcon, ProviderModelSections } from "@/providers/models/provider-group"
+import { CONSOLE_GROUP_KEY, consoleModelGroup, ProviderModelSections } from "@/providers/models/provider-group"
 import "@/settings/settings.css"

 const isFree = (provider: string, cost: { input: number } | undefined) =>
@@ -221,21 +218,11 @@ export function ModelSelectorPopover(props: {
  onClose?: () => void
 }) {
  const dialog = useDialog()
-  const data = useData()
-  const location = useWorkspaceLocation()
  const controller = createModelSelectorController({
    model: props.model,
    provider: () => props.provider,
    onSelect: () => props.onClose?.(),
  })
-  const chatgptPlan = () => {
-    if (!controller.current()?.startsWith("openai:")) return false
-    const connection = data.location.integration
-      .list(location().ref)
-      ?.find((integration) => integration.id === "openai")
-      ?.connections[0]
-    return connection?.type === "credential" && connection.method === "oauth"
-  }

  return (
    <ModelSelectorPopoverView
@@ -243,7 +230,6 @@ export function ModelSelectorPopover(props: {
      models={controller.models}
      groups={controller.groups}
      current={controller.current()}
-      chatgptPlan={chatgptPlan()}
      select={controller.select}
      onManage={() => {
        void import("./manage").then((module) => {
@@ -295,12 +281,11 @@ function createModelSelectorController(input: {
  }
 }

-export function ModelSelectorPopoverView(props: {
+function ModelSelectorPopoverView(props: {
  trigger: ModelSelectorTrigger
  models: (search: string) => ModelItem[]
  groups: (models: ModelItem[]) => { category: string; items: ModelItem[] }[]
  current: string | undefined
-  chatgptPlan?: boolean
  select: (item: ModelItem) => void
  onManage: () => void
  onClose: () => void
@@ -383,8 +368,7 @@ export function ModelSelectorPopoverView(props: {
      <Menu.Portal>
        <Menu.Content
          ref={(element: HTMLDivElement) => (contentRef = element)}
-          class="w-[284px] max-w-[calc(100vw-16px)] overflow-hidden rounded-md border-0 bg-v2-background-bg-layer-01 !p-0 shadow-[var(--v2-elevation-floating)] focus:outline-none"
-          classList={{ "!w-[320px]": props.chatgptPlan }}
+          class="w-[284px] overflow-hidden rounded-md border-0 bg-v2-background-bg-layer-01 !p-0 shadow-[var(--v2-elevation-floating)] focus:outline-none"
          onPointerDownOutside={dismiss.preventTriggerRestore}
          onFocusOutside={dismiss.preventTriggerRestore}
          onCloseAutoFocus={dismiss.onCloseAutoFocus}
@@ -521,20 +505,6 @@ export function ModelSelectorPopoverView(props: {
              <span class="min-w-0 flex-1 truncate leading-5">{language.t("dialog.model.manage")}</span>
            </Menu.Item>
          </div>
-          <Show when={props.chatgptPlan}>
-            <div class="h-px bg-v2-border-border-muted" />
-            <div class="flex min-h-10 items-center gap-2 px-3 py-2 text-[13px] leading-5 text-v2-text-text-base">
-              <ProviderModelIcon provider={{ id: "openai", name: "OpenAI" }} class="shrink-0" />
-              <span class="min-w-0 flex-1 truncate">{language.t("dialog.model.chatgptPlan")}</span>
-              <ExternalLink
-                href="https://chatgpt.com/settings/usage"
-                class="flex shrink-0 items-center gap-1 rounded-sm text-v2-text-text-muted no-underline hover:text-v2-text-text-base focus-visible:outline focus-visible:outline-2"
-              >
-                {language.t("dialog.model.chatgptManageUsage")}
-                <Icon name="arrow-up-right" size="small" />
-              </ExternalLink>
-            </div>
-          </Show>
        </Menu.Content>
      </Menu.Portal>
    </Menu>
@@ -186,8 +186,6 @@ export const dict = {
  "dialog.model.empty": "No model results",
  "dialog.model.manage": "Manage models",
  "dialog.model.manage.description": "Customize which models appear in the model selector.",
-  "dialog.model.chatgptPlan": "Using ChatGPT plan",
-  "dialog.model.chatgptManageUsage": "Manage usage",
  "dialog.model.manage.provider.toggle": "Toggle all {{provider}} models",

  "dialog.model.unpaid.freeModels.title": "Free models provided by OpenCode",
@@ -219,15 +217,7 @@ export const dict = {
  "provider.connect.models.title": "Connected to {{provider}}",
  "provider.connect.models.description": "Choose a model to start with. You can switch models anytime.",
  "provider.connect.models.available": "Available models",
-  "provider.connect.chatgptWelcome.title": "ChatGPT connected",
-  "provider.connect.chatgptWelcome.description": "Eligible requests in OpenCode can use your ChatGPT plan.",
-  "provider.connect.chatgptWelcome.usage": "Manage usage in ChatGPT settings",
-  "provider.connect.chatgptWelcome.confirm": "Got it",
  "provider.connect.models.list": "Models available from {{provider}}",
-  "provider.connect.chatgptUsageLimit.title": "ChatGPT usage limit reached",
-  "provider.connect.chatgptUsageLimit.description": "Check your usage and limits in ChatGPT settings.",
-  "provider.connect.chatgptUsageLimit.manage": "Manage usage",
-  "provider.connect.chatgptUsageLimit.close": "Close",
  "provider.connect.console.refreshFailed":
    "Your account is connected, but we couldn't load your models. Try again to refresh them.",
  "provider.connect.console.connected": "OpenCode connected",
@@ -1,6 +1,6 @@
 import { describe, expect, test } from "bun:test"
 import { Schema } from "effect"
-import { GoUpsellState, isChatGPTUsageLimit } from "./usage-exceeded-dialogs"
+import { GoUpsellState } from "./usage-exceeded-dialogs"
 import { Persistence } from "@/runtime/persistence/schema"

 const decode = Schema.decodeUnknownSync(
@@ -38,31 +38,3 @@ describe("usage exceeded preferences", () => {
    })
  })
 })
-
-describe("ChatGPT usage limit", () => {
-  const message =
-    "ChatGPT usage limit reached. Try again after your allowance resets; check ChatGPT Settings → Usage for details."
-
-  test("detects the mapped message regardless of failure type", () => {
-    expect(
-      isChatGPTUsageLimit({
-        type: "provider.rate-limit",
-        message,
-        status: 429,
-      }),
-    ).toBe(true)
-    expect(isChatGPTUsageLimit({ type: "provider.unknown", message })).toBe(true)
-  })
-
-  test("ignores other rate limits and similar messages", () => {
-    expect(isChatGPTUsageLimit({ type: "provider.rate-limit", message: "Rate limit exceeded", status: 429 })).toBe(
-      false,
-    )
-    expect(
-      isChatGPTUsageLimit({
-        type: "provider.rate-limit",
-        message: "ChatGPT usage limit reached",
-      }),
-    ).toBe(false)
-  })
-})
@@ -1,6 +1,6 @@
 import { useWorkspaceLocation } from "@/workspaces/location"
 import { Persist, persisted } from "@/runtime/persistence/storage"
-import type { SessionStatus, SessionStepFailed } from "@opencode/client/promise"
+import type { SessionStatus } from "@opencode/client/promise"
 import { onCleanup } from "solid-js"
 import { Schema } from "effect"
 import { Persistence } from "@/runtime/persistence/schema"
@@ -14,14 +14,6 @@ const GO_UPSELL_ACCOUNT_RATE_LIMIT_LAST_SEEN_AT = "go_upsell_account_rate_limit_
 const GO_UPSELL_ACCOUNT_RATE_LIMIT_DONT_SHOW = "go_upsell_account_rate_limit_dont_show"
 const GO_UPSELL_WINDOW = 86_400_000 // 24 hrs
 const GO_UPSELL_PROVIDERS = new Set(["opencode", "opencode-go"])
-const CHATGPT_USAGE_LIMIT_WINDOW = 86_400_000 // 24 hrs
-
-export function isChatGPTUsageLimit(error: SessionStepFailed["data"]["error"]) {
-  return (
-    error.message ===
-    "ChatGPT usage limit reached. Try again after your allowance resets; check ChatGPT Settings → Usage for details."
-  )
-}

 export const GoUpsellState = Persistence.struct({
  [GO_UPSELL_FREE_TIER_LAST_SEEN_AT]: Schema.NullOr(Schema.Finite),
@@ -60,25 +52,6 @@ export function useUsageExceededDialogs() {
    [GO_UPSELL_ACCOUNT_RATE_LIMIT_LAST_SEEN_AT]: null,
    [GO_UPSELL_ACCOUNT_RATE_LIMIT_DONT_SHOW]: null,
  })
-  const [chatgptUsageLimit, setChatGPTUsageLimit] = persisted(
-    Persist.global("chatgpt-usage-limit"),
-    Persistence.struct({ lastSeenAt: Schema.NullOr(Schema.Finite) }),
-    { lastSeenAt: null },
-  )
-
-  onCleanup(
-    sdk().event.on("session.step.failed", (evt) => {
-      if (evt.data.sessionID !== params.id) return
-      if (!isChatGPTUsageLimit(evt.data.error) || dialog.active) return
-      if (chatgptUsageLimit.lastSeenAt && Date.now() - chatgptUsageLimit.lastSeenAt < CHATGPT_USAGE_LIMIT_WINDOW) return
-
-      void import("@/providers/connect/chatgpt-usage-limit").then((usage) => {
-        if (dialog.active) return
-        setChatGPTUsageLimit("lastSeenAt", Date.now())
-        dialog.show(() => <usage.DialogChatGPTUsageLimit />)
-      })
-    }),
-  )

  onCleanup(
    sdk().event.on("session.status", (evt) => {
@@ -1,7 +1,7 @@
 {
  "$schema": "https://json.schemastore.org/package.json",
  "name": "@opencode/cli",
-  "version": "2.0.20",
+  "version": "2.0.18",
  "type": "module",
  "license": "MIT",
  "bin": {
@@ -51,7 +51,7 @@ const Root = Spec.make(typeof OPENCODE_CLI_NAME === "string" ? OPENCODE_CLI_NAME
    ),
    session: Flag.string("session").pipe(
      Flag.withAlias("s"),
-      Flag.withDescription("Session ID to continue, or to create if it does not exist"),
+      Flag.withDescription("Session ID to continue"),
      Flag.optional,
    ),
    prompt: Flag.string("prompt").pipe(Flag.withDescription("Prompt to use"), Flag.optional),
@@ -183,26 +183,6 @@ const Root = Spec.make(typeof OPENCODE_CLI_NAME === "string" ? OPENCODE_CLI_NAME
            ),
          },
        }),
-        Spec.make("export", {
-          description: "print stored credentials, including secrets, as JSON",
-          params: {
-            ...ServerParams,
-            target: Argument.string("target").pipe(
-              Argument.withDescription("Integration ID or name (exports every integration when omitted)"),
-              Argument.optional,
-            ),
-          },
-        }),
-        Spec.make("import", {
-          description: "import credentials exported by auth export",
-          params: {
-            ...ServerParams,
-            file: Argument.string("file").pipe(
-              Argument.withDescription("JSON file to import (reads stdin when omitted)"),
-              Argument.optional,
-            ),
-          },
-        }),
        Spec.make("switch", {
          description: "switch the active account for an integration",
          params: {
@@ -348,7 +328,7 @@ const Root = Spec.make(typeof OPENCODE_CLI_NAME === "string" ? OPENCODE_CLI_NAME
        ),
        session: Flag.string("session").pipe(
          Flag.withAlias("s"),
-          Flag.withDescription("Session ID to continue, or to create if it does not exist"),
+          Flag.withDescription("Session ID to continue"),
          Flag.optional,
        ),
        fork: Flag.boolean("fork").pipe(
@@ -388,7 +368,7 @@ const Root = Spec.make(typeof OPENCODE_CLI_NAME === "string" ? OPENCODE_CLI_NAME
        ),
        session: Flag.string("session").pipe(
          Flag.withAlias("s"),
-          Flag.withDescription("Session ID to continue, or to create if it does not exist"),
+          Flag.withDescription("Session ID to continue"),
          Flag.optional,
        ),
        fork: Flag.boolean("fork").pipe(
@@ -1,31 +0,0 @@
-import { EOL } from "node:os"
-import { Effect, Option } from "effect"
-import { Commands } from "../../commands"
-import { Runtime } from "../../../framework/runtime"
-import { createClient, loadIntegrations, request, resolveIntegration } from "./shared"
-import { errorMessage } from "../../../util/error"
-
-export default Runtime.handler(
-  Commands.commands.auth.commands.export,
-  Effect.fn("cli.auth.export")(
-    function* (input) {
-      const client = yield* createClient({ server: Option.getOrUndefined(input.server), standalone: input.standalone })
-      const target = Option.getOrUndefined(input.target)
-      const integrationID = target ? (yield* resolveIntegration(yield* loadIntegrations(client), target)).id : undefined
-      const credentials = (yield* request((signal) => client.credential.list({ signal }))).filter(
-        (credential) => !integrationID || credential.integrationID === integrationID,
-      )
-      if (process.stdout.isTTY)
-        process.stderr.write(
-          "Warning: the output contains secrets; redirect it to a file or pipe it to auth import" + EOL,
-        )
-      process.stdout.write(JSON.stringify(credentials, null, 2) + EOL)
-    },
-    Effect.catch((error) =>
-      Effect.sync(() => {
-        process.stderr.write(errorMessage(error) + EOL)
-        process.exitCode = 1
-      }),
-    ),
-  ),
-)
@@ -1,58 +0,0 @@
-import { EOL } from "node:os"
-import { isConflictError, type CredentialCreateInput } from "@opencode/client"
-import { Credential } from "@opencode/schema/credential"
-import { Effect, Option, Schema } from "effect"
-import { Commands } from "../../commands"
-import { Runtime } from "../../../framework/runtime"
-import { createClient, request } from "./shared"
-import { errorMessage } from "../../../util/error"
-import { readStdin } from "../../../util/io"
-
-export default Runtime.handler(
-  Commands.commands.auth.commands.import,
-  Effect.fn("cli.auth.import")(
-    function* (input) {
-      const file = Option.getOrUndefined(input.file)
-      if (!file && process.stdin.isTTY)
-        return yield* Effect.fail(new Error("Pipe auth export output into stdin or pass a file to import"))
-      const text = yield* request(() => (file ? Bun.file(file).text() : readStdin()))
-      const credentials = yield* Schema.decodeUnknownEffect(Schema.fromJsonString(Schema.Array(Credential.Entry)))(text)
-      const client = yield* createClient({ server: Option.getOrUndefined(input.server), standalone: input.standalone })
-      const existing = yield* request((signal) => client.credential.list({ signal }))
-      const ids = new Set(existing.map((credential) => credential.id))
-      const integrations = new Set(existing.map((credential) => credential.integrationID))
-      const results = yield* Effect.forEach(credentials, (credential) => {
-        if (ids.has(credential.id)) return Effect.succeed(false)
-        return request((signal) =>
-          client.credential.create(
-            {
-              id: credential.id,
-              integrationID: credential.integrationID,
-              label: credential.label,
-              // Stored metadata is JSON, but the credential schema types it as unknown while the generated client expects JSON.
-              value: credential.value as CredentialCreateInput["value"],
-              // Keep the destination's current selections; only integrations new to it adopt the exported selection.
-              activate: credential.active && !integrations.has(credential.integrationID),
-            },
-            { signal },
-          ),
-        ).pipe(
-          Effect.as(true),
-          Effect.catchIf(isConflictError, () => Effect.succeed(false)),
-        )
-      })
-      const imported = results.filter(Boolean).length
-      process.stderr.write(
-        `Imported ${imported} ${imported === 1 ? "credential" : "credentials"}` +
-          (results.length > imported ? `, skipped ${results.length - imported} already present` : "") +
-          EOL,
-      )
-    },
-    Effect.catch((error) =>
-      Effect.sync(() => {
-        process.stderr.write(errorMessage(error) + EOL)
-        process.exitCode = 1
-      }),
-    ),
-  ),
-)
@@ -4,12 +4,12 @@ import { OpenCode } from "@opencode/client"
 import { Commands } from "../../commands"
 import { Runtime } from "../../../framework/runtime"
 import { Service } from "@opencode/client/effect/service"
-import { ServerConnection } from "../../../services/server-connection"
+import { ServiceConfig } from "../../../services/service-config"

 export default Runtime.handler(
  Commands.commands.debug.commands.agents,
  Effect.fn("cli.debug.agents")(function* () {
-    const { endpoint } = yield* ServerConnection.resolve()
+    const endpoint = yield* Service.ensure(yield* ServiceConfig.options())
    const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })
    const response = yield* Effect.promise(() => client.agent.list({ location: { directory: process.cwd() } }))
    process.stdout.write(
@@ -4,13 +4,13 @@ import { OpenCode } from "@opencode/client"
 import { Service } from "@opencode/client/effect/service"
 import { Commands } from "../../commands"
 import { Runtime } from "../../../framework/runtime"
-import { ServerConnection } from "../../../services/server-connection"
+import { ServiceConfig } from "../../../services/service-config"
 import { redactConfig } from "./redact"

 export default Runtime.handler(
  Commands.commands.debug.commands.config,
  Effect.fn("cli.debug.config")(function* () {
-    const { endpoint } = yield* ServerConnection.resolve()
+    const endpoint = yield* Service.ensure(yield* ServiceConfig.options())
    const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })
    const entries = yield* Effect.promise(() => client.config.get({ location: { directory: process.cwd() } }))
    process.stdout.write(JSON.stringify(redactConfig(entries), null, 2) + EOL)
@@ -11,10 +11,6 @@ import { UpdatePreflight } from "../../services/update-preflight"
 import { Npm } from "@opencode/util/npm"
 import { OPENCODE_ARTIFACT, OPENCODE_CHANNEL, OPENCODE_VERSION } from "../../version"
 import { Env } from "../../env"
-import { Service } from "@opencode/client/effect/service"
-import { OpenCode } from "@opencode/client/promise"
-import { findSession } from "../../session-target"
-import { errorMessage } from "../../util/error"

 export default Runtime.handler(Commands, (input) =>
  Effect.gen(function* () {
@@ -50,15 +46,6 @@ export default Runtime.handler(Commands, (input) =>
        Effect.promise(() => preflight.fail("OpenCode update could not start the new background service")),
      ),
    )
-    const session = Option.getOrUndefined(input.session)
-    // A missing --session ID becomes the ID of the session the first prompt creates.
-    const sessionExists =
-      session !== undefined &&
-      (yield* Effect.tryPromise({
-        try: () =>
-          findSession(OpenCode.make({ baseUrl: server.endpoint.url, headers: Service.headers(server.endpoint) }), session),
-        catch: (cause) => new Error(errorMessage(cause)),
-      })) !== undefined
    const updater = yield* Updater.Service
    let installing: string | undefined
    const updateListeners = new Set<(version: string) => void>()
@@ -94,8 +81,7 @@ export default Runtime.handler(Commands, (input) =>
      },
      args: {
        continue: input.continue,
-        sessionID: sessionExists ? session : undefined,
-        newSessionID: sessionExists ? undefined : session,
+        sessionID: Option.getOrUndefined(input.session),
        prompt: Option.getOrUndefined(input.prompt),
        auto: input.auto || input.yolo || input.dangerouslySkipPermissions,
      },
@@ -4,7 +4,7 @@ import { OpenCode, type IntegrationInfo, type IntegrationOAuthMethod, type McpSe
 import { Commands } from "../../commands"
 import { Runtime } from "../../../framework/runtime"
 import { Service } from "@opencode/client/effect/service"
-import { ServerConnection } from "../../../services/server-connection"
+import { ServiceConfig } from "../../../services/service-config"
 import { selectIntegration, type IntegrationChoice } from "../../../ui/integration-picker"
 import { handlePromptErrors, prompt, requireInteractive } from "../../../ui/prompt"
 import { answerForm } from "../auth/form"
@@ -21,7 +21,7 @@ export default Runtime.handler(
 const authenticate = Effect.fn("cli.mcp.auth.run")(function* (name?: string) {
  if (!name) yield* requireInteractive("Pass an MCP server name when running without an interactive terminal")
  intro("Authenticate an MCP server")
-  const { endpoint } = yield* ServerConnection.resolve()
+  const endpoint = yield* Service.ensure(yield* ServiceConfig.options())
  const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })
  const integrations = yield* loadIntegrations(client)
  const servers = yield* request((signal) => client.mcp.list({ location }, { signal }))
@@ -4,12 +4,12 @@ import { OpenCode, type McpServer } from "@opencode/client"
 import { Commands } from "../../commands"
 import { Runtime } from "../../../framework/runtime"
 import { Service } from "@opencode/client/effect/service"
-import { ServerConnection } from "../../../services/server-connection"
+import { ServiceConfig } from "../../../services/service-config"

 export default Runtime.handler(
  Commands.commands.mcp.commands.list,
  Effect.fn("cli.mcp.list")(function* () {
-    const { endpoint } = yield* ServerConnection.resolve()
+    const endpoint = yield* Service.ensure(yield* ServiceConfig.options())
    const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })
    const response = yield* Effect.promise(() => client.mcp.list({ location: { directory: process.cwd() } }))
    const servers = response.data.toSorted((a, b) => a.name.localeCompare(b.name))
@@ -4,7 +4,7 @@ import { OpenCode } from "@opencode/client"
 import { Commands } from "../../commands"
 import { Runtime } from "../../../framework/runtime"
 import { Service } from "@opencode/client/effect/service"
-import { ServerConnection } from "../../../services/server-connection"
+import { ServiceConfig } from "../../../services/service-config"
 import { resolveIntegration } from "./resolve"

 const location = { directory: process.cwd() }
@@ -12,7 +12,7 @@ const location = { directory: process.cwd() }
 export default Runtime.handler(
  Commands.commands.mcp.commands.logout,
  Effect.fn("cli.mcp.logout")(function* (input) {
-    const { endpoint } = yield* ServerConnection.resolve()
+    const endpoint = yield* Service.ensure(yield* ServiceConfig.options())
    const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })

    const integration = yield* resolveIntegration(client, input.name, location)
@@ -10,10 +10,6 @@ import { ServiceConfig } from "../../services/service-config"
 export default Runtime.handler(
  Commands.commands.pair,
  Effect.fn("cli.pair")(function* (input: Runtime.Input<typeof Commands.commands.pair>) {
-    if ((yield* ServiceConfig.read()).disabled === true)
-      return yield* Effect.fail(
-        new Error("Pairing requires the background service; run `opencode service unset disabled` first"),
-      )
    const endpoint = yield* Service.ensure(yield* ServiceConfig.options())
    const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })
    const urls = Option.isSome(input.url)
@@ -4,7 +4,7 @@ import { OpenCode, type PluginInfo } from "@opencode/client"
 import { Service } from "@opencode/client/effect/service"
 import { Npm } from "@opencode/util/npm"
 import { Config } from "../../../config"
-import { ServerConnection } from "../../../services/server-connection"
+import { ServiceConfig } from "../../../services/service-config"

 export interface Item {
  readonly runtime: "Server" | "TUI"
@@ -16,7 +16,7 @@ export interface Item {
 }

 export const inspect = Effect.fn("cli.plugin.inspect")(function* (selected?: string) {
-  const { endpoint } = yield* ServerConnection.resolve()
+  const endpoint = yield* Service.ensure(yield* ServiceConfig.options())
  const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })
  const location = { directory: process.cwd() }
  const listed = yield* Effect.promise(() => client.plugin.list({ location }))
@@ -5,7 +5,7 @@ import { OpenCode, type PluginInfo } from "@opencode/client"
 import { Service } from "@opencode/client/effect/service"
 import { Commands } from "../../commands"
 import { Runtime } from "../../../framework/runtime"
-import { ServerConnection } from "../../../services/server-connection"
+import { ServiceConfig } from "../../../services/service-config"
 import { Config } from "../../../config"
 import { Global } from "@opencode/util/global"
 import { Npm } from "@opencode/util/npm"
@@ -16,7 +16,7 @@ import { discoverPluginTargets, localPluginDirectories, localSource } from "@ope
 export default Runtime.handler(
  Commands.commands.plugin.commands.list,
  Effect.fn("cli.plugin.list")(function* (input) {
-    const { endpoint } = yield* ServerConnection.resolve()
+    const endpoint = yield* Service.ensure(yield* ServiceConfig.options())
    const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })
    const response = yield* Effect.promise(() => client.plugin.list({ location: { directory: process.cwd() } }))
    const config = yield* Config.Service
--- a/Show More
+++ b/Show More