fix(cli): stop setting exit code when run cancels a form

2026-10-02 05:26:16 +00:00 · 2026-09-28 22:56:37 +00:00
1935 changed files with 89349 additions and 79106 deletions
@@ -45,16 +45,14 @@ runs:
    - name: Get cache directory
      id: cache
      shell: bash
-      run: |
-        echo "dir=$(bun pm cache)" >> "$GITHUB_OUTPUT"
-        echo "version=$(bun --version)" >> "$GITHUB_OUTPUT"
+      run: echo "dir=$(bun pm cache)" >> "$GITHUB_OUTPUT"

    - name: Restore Bun dependencies
      id: bun-cache
      uses: actions/cache/restore@0057852bfaa89a56745cba8c7296529d2fc39830 # v4.3.0
      with:
        path: ${{ steps.cache.outputs.dir }}
-        key: ${{ runner.os }}-${{ runner.arch }}-bun-${{ steps.cache.outputs.version }}-${{ hashFiles('bun.lock', 'patches/**') }}
+        key: ${{ runner.os }}-bun-${{ hashFiles('**/bun.lock') }}

    - name: Install setuptools for distutils compatibility
      run: python3 -m pip install setuptools || pip install setuptools || true
@@ -77,4 +75,4 @@ runs:
      uses: actions/cache/save@0057852bfaa89a56745cba8c7296529d2fc39830 # v4.3.0
      with:
        path: ${{ steps.cache.outputs.dir }}
-        key: ${{ steps.bun-cache.outputs.cache-primary-key }}
+        key: ${{ runner.os }}-bun-${{ hashFiles('**/bun.lock') }}
@@ -7,10 +7,6 @@ on:
    branches: [dev, v2]
  workflow_dispatch:

-concurrency:
-  group: ${{ case(github.ref == 'refs/heads/dev', format('{0}-{1}', github.workflow, github.run_id), format('{0}-{1}', github.workflow, github.event.pull_request.number || github.ref)) }}
-  cancel-in-progress: true
-
 jobs:
  check:
    name: typecheck
@@ -15,7 +15,7 @@ jobs:
  close-non-compliant:
    runs-on: ubuntu-latest
    steps:
-      - name: Close non-compliant issues and PRs after 72 hours
+      - name: Close non-compliant issues and PRs after 2 hours
        uses: actions/github-script@f28e40c7f34bde8b3046d885e986cb6290c5673b # v7.1.0
        with:
          script: |
@@ -33,7 +33,7 @@ jobs:
            }

            const now = Date.now();
-            const seventyTwoHours = 72 * 60 * 60 * 1000;
+            const twoHours = 2 * 60 * 60 * 1000;
            const orgMemberAssociations = new Set(['OWNER', 'MEMBER']);
            const agentLogin = 'opencode-agent[bot]';
            const { data: file } = await github.rest.repos.getContent({
@@ -87,14 +87,14 @@ jobs:
              if (!complianceComment) continue;

              const commentAge = now - new Date(complianceComment.created_at).getTime();
-              if (commentAge < seventyTwoHours) {
-                core.info(`${kind} #${item.number} still within 72-hour window (${Math.round(commentAge / 60000)}m elapsed)`);
+              if (commentAge < twoHours) {
+                core.info(`${kind} #${item.number} still within 2-hour window (${Math.round(commentAge / 60000)}m elapsed)`);
                continue;
              }

              const closeMessage = isPR
-                ? 'This pull request has been automatically closed because it was not updated to meet our [contributing guidelines](../blob/dev/CONTRIBUTING.md) within the 72-hour window.\n\nFeel free to open a new pull request that follows our guidelines.'
-                : 'This issue has been automatically closed because it was not updated to meet our [contributing guidelines](../blob/dev/CONTRIBUTING.md) within the 72-hour window.\n\nFeel free to open a new issue that follows our issue templates.';
+                ? 'This pull request has been automatically closed because it was not updated to meet our [contributing guidelines](../blob/dev/CONTRIBUTING.md) within the 2-hour window.\n\nFeel free to open a new pull request that follows our guidelines.'
+                : 'This issue has been automatically closed because it was not updated to meet our [contributing guidelines](../blob/dev/CONTRIBUTING.md) within the 2-hour window.\n\nFeel free to open a new issue that follows our issue templates.';

              await github.rest.issues.createComment({
                owner: context.repo.owner,
@@ -129,5 +129,5 @@ jobs:
                });
              }

-              core.info(`Closed non-compliant ${kind} #${item.number} after 72-hour window`);
+              core.info(`Closed non-compliant ${kind} #${item.number} after 2-hour window`);
            }
@@ -107,7 +107,7 @@ jobs:

          If the issue is NOT compliant and the author association is not OWNER or MEMBER, start the comment with:
          <!-- issue-compliance -->
-          Then explain what needs to be fixed and that they have 72 hours to edit the issue before it is automatically closed. Also add the label needs:compliance to the issue using: gh issue edit ${{ github.event.issue.number }} --add-label needs:compliance
+          Then explain what needs to be fixed and that they have 2 hours to edit the issue before it is automatically closed. Also add the label needs:compliance to the issue using: gh issue edit ${{ github.event.issue.number }} --add-label needs:compliance

          If duplicates were found, include a section about potential duplicates with links.

@@ -124,7 +124,7 @@ jobs:
          **What needs to be fixed:**
          - [specific reasons]

-          Please edit this issue to address the above within **72 hours**, or it will be automatically closed.
+          Please edit this issue to address the above within **2 hours**, or it will be automatically closed.

          [If duplicates found, add:]
          ---
@@ -37,7 +37,7 @@ jobs:
          echo "=== Flake structure ==="
          nix flake show --all-systems

-          SYSTEMS="x86_64-linux aarch64-linux aarch64-darwin"
+          SYSTEMS="x86_64-linux aarch64-linux x86_64-darwin aarch64-darwin"
          PACKAGES="opencode"
          # TODO: move 'desktop' to PACKAGES when #11755 is fixed
          OPTIONAL_PACKAGES="desktop"
@@ -34,6 +34,8 @@ jobs:
            runner: blacksmith-4vcpu-ubuntu-2404
          - system: aarch64-linux
            runner: blacksmith-4vcpu-ubuntu-2404-arm
+          - system: x86_64-darwin
+            runner: macos-15-intel
          - system: aarch64-darwin
            runner: macos-latest
    runs-on: ${{ matrix.runner }}
@@ -124,7 +126,7 @@ jobs:

          [ -f "$HASH_FILE" ] || echo '{"nodeModules":{}}' > "$HASH_FILE"

-          for SYSTEM in x86_64-linux aarch64-linux aarch64-darwin; do
+          for SYSTEM in x86_64-linux aarch64-linux x86_64-darwin aarch64-darwin; do
            FILE="hashes/hash-${SYSTEM}/hash.txt"
            if [ -f "$FILE" ]; then
              HASH="$(tr -d '[:space:]' < "$FILE")"
@@ -307,7 +307,7 @@ jobs:
            **What needs to be fixed:**
            ${issues.map(i => `- ${i}`).join('\n')}

-            Please edit this PR description to address the above within **72 hours**, or it will be automatically closed.
+            Please edit this PR description to address the above within **2 hours**, or it will be automatically closed.

            If you believe this was flagged incorrectly, please let a maintainer know.`;

@@ -662,7 +662,7 @@ jobs:
    needs:
      - version
      - publish
-    if: ${{ !cancelled() && github.repository == 'anomalyco/opencode' && github.ref_name == 'v2' && needs.version.outputs.release && needs.publish.result == 'success' }}
+    if: github.repository == 'anomalyco/opencode' && github.ref_name == 'v2' && needs.version.outputs.release && needs.publish.result == 'success'
    runs-on: blacksmith-4vcpu-ubuntu-2404
    steps:
      # Unlike dev, V2 publishes a tag rather than a GitHub Release event.
@@ -94,6 +94,12 @@ jobs:
          git config --global user.email "bot@opencode.ai"
          git config --global user.name "opencode"

+      - name: Install ffmpeg
+        if: runner.os == 'Linux'
+        run: |
+          sudo apt-get update
+          sudo apt-get install --yes ffmpeg
+
      - name: Cache Turbo
        uses: actions/cache@0057852bfaa89a56745cba8c7296529d2fc39830 # v4.3.0
        with:
@@ -245,13 +251,6 @@ jobs:
        run: bunx playwright test --config e2e/service-worker/playwright.config.ts
        timeout-minutes: 5

-      - name: Run session UI component tests
-        if: ${{ !cancelled() && env.E2E_ENABLED == 'true' }}
-        run: bun --cwd packages/session-ui test:components
-        env:
-          CI: true
-        timeout-minutes: 15
-
      - name: Upload Playwright artifacts
        if: always() && env.E2E_ENABLED == 'true'
        uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2
@@ -262,5 +261,3 @@ jobs:
          path: |
            packages/app/e2e/test-results
            packages/app/e2e/playwright-report
-            packages/session-ui/component-tests/test-results
-            packages/session-ui/component-tests/playwright-report
@@ -1,9 +1,5 @@
 {
  "$schema": "https://raw.githubusercontent.com/nicolo-ribaudo/oxc-project.github.io/refs/heads/json-schema/src/public/.oxlintrc.schema.json",
-  "jsPlugins": [
-    { "name": "anti-slop", "specifier": "./script/oxlint/anti-slop/index.ts" },
-    { "name": "anti-slop-effect", "specifier": "./script/oxlint/anti-slop/effect/index.ts" }
-  ],
  "categories": {
    "correctness": "off",
    "suspicious": "off",
@@ -22,94 +18,5 @@
      }
    ]
  },
-  "overrides": [
-    {
-      "files": [
-        "packages/app/**",
-        "packages/desktop/**",
-        "packages/gui-extensions/**",
-        "packages/ui/**",
-        "packages/session-ui/**"
-      ],
-      "rules": {
-        "oxc/no-accumulating-spread": "warn",
-        "anti-slop/no-array-filter-map": "warn",
-        "anti-slop/no-reduce-accumulator-copy": "warn",
-        "anti-slop/no-chained-type-assertions": "warn",
-        "anti-slop/no-conditional-empty-object-spread": "warn",
-        "anti-slop/no-known-value-widening": "warn",
-        "anti-slop/no-module-mocking": "warn",
-        "anti-slop/no-object-parameters": "warn",
-        "anti-slop/no-reflect-apply": "warn",
-        "anti-slop/no-reflect-get": "warn",
-        "anti-slop/no-runtime-typeof": "warn",
-        "anti-slop/no-shape-in-symbol-names": "warn",
-        "anti-slop/no-unknown-parameters": "warn",
-        "anti-slop/no-unknown-returns": "warn",
-        "anti-slop/no-unknown-type-aliases": "warn",
-        "anti-slop/no-unsafe-dictionary-type": "warn",
-        "anti-slop/no-widen-then-assert": "warn",
-        "anti-slop/require-readable-spacing": "warn",
-        "anti-slop/require-safety-comment-for-type-assertion": "warn"
-      }
-    },
-    {
-      "files": ["packages/app/**", "packages/desktop/**", "packages/gui-extensions/**", "packages/session-ui/**"],
-      "rules": {
-        "anti-slop-effect/no-manual-effect-error-tag": "warn",
-        "anti-slop-effect/no-manual-tag-comparison": "warn",
-        "anti-slop-effect/no-manual-tagged-construction": "warn",
-        "anti-slop-effect/no-service-constructor-imports": "warn",
-        "anti-slop-effect/prefer-effect-match": "warn"
-      }
-    },
-    {
-      "files": ["packages/gui-extensions/src/*/**"],
-      "rules": {
-        "no-restricted-imports": [
-          "error",
-          {
-            "patterns": [
-              {
-                "regex": "^@opencode/(app|desktop)(/|$)",
-                "message": "GUI extensions never import the app or desktop packages. Use the SDK."
-              },
-              {
-                "regex": "^@/",
-                "message": "GUI extensions never import app internals. Use the SDK."
-              },
-              {
-                "group": ["../*/*", "!../*/contract", "!../sdk/*"],
-                "message": "Import another extension only through its contract.ts."
-              },
-              {
-                "regex": "\\.css$",
-                "message": "Import CSS with ?inline and contribute it with ctx.add(Style, css)."
-              }
-            ]
-          }
-        ]
-      }
-    }
-  ],
-  "ignorePatterns": [
-    "**/node_modules",
-    "**/dist",
-    "**/.build",
-    "**/.sst",
-    "**/*.d.ts",
-    "**/sdk.gen.ts",
-    ".agent/**",
-    ".agents/**",
-    ".claude/**",
-    ".codex/**",
-    ".continue/**",
-    ".cursor/**",
-    ".gemini/**",
-    ".opencode/**",
-    ".pi/**",
-    ".roo/**",
-    ".windsurf/**",
-    "script/oxlint/anti-slop/**"
-  ]
+  "ignorePatterns": ["**/node_modules", "**/dist", "**/.build", "**/.sst", "**/*.d.ts", "**/sdk.gen.ts"]
 }
@@ -15,7 +15,6 @@
        "@actions/artifact": "5.0.1",
        "@ast-grep/cli": "0.44.0",
        "@opencode/client": "workspace:*",
-        "@oxlint/plugins": "1.60.0",
        "@tsconfig/bun": "catalog:",
        "@types/mime-types": "3.0.1",
        "@types/react": "19.2.17",
@@ -33,7 +32,7 @@
    },
    "packages/ai": {
      "name": "@opencode/ai",
-      "version": "2.0.21",
+      "version": "2.0.18",
      "dependencies": {
        "@aws-sdk/credential-providers": "3.1057.0",
        "@opencode/schema": "workspace:*",
@@ -55,7 +54,7 @@
    },
    "packages/app": {
      "name": "@opencode/app",
-      "version": "2.0.21",
+      "version": "2.0.18",
      "dependencies": {
        "@corvu/drawer": "catalog:",
        "@dnd-kit/abstract": "0.5.0",
@@ -65,7 +64,7 @@
        "@ibm/plex": "6.4.1",
        "@kobalte/core": "catalog:",
        "@opencode/client": "workspace:*",
-        "@opencode/gui-extensions": "workspace:*",
+        "@opencode/plugin-browser": "workspace:*",
        "@opencode/schema": "workspace:*",
        "@opencode/session-ui": "workspace:*",
        "@opencode/ui": "workspace:*",
@@ -87,11 +86,13 @@
        "core-js": "3.50.0",
        "effect": "catalog:",
        "fuzzysort": "catalog:",
+        "ghostty-web": "github:anomalyco/ghostty-web#83c0a07b8628b748aed073b232cb4b52a6ca11c1",
        "qr-scanner": "1.4.2",
        "remeda": "catalog:",
        "solid-js": "catalog:",
        "solid-presence": "0.2.0",
        "tailwindcss": "4.3.3",
+        "uqr": "0.1.3",
      },
      "devDependencies": {
        "@happy-dom/global-registrator": "20.0.11",
@@ -102,7 +103,6 @@
        "@types/node": "catalog:",
        "@typescript/native-preview": "catalog:",
        "diff": "catalog:",
-        "ghostty-web": "github:anomalyco/ghostty-web#83c0a07b8628b748aed073b232cb4b52a6ca11c1",
        "happy-dom": "20.11.1",
        "tw-animate-css": "1.4.0",
        "vite": "8.2.2",
@@ -112,13 +112,13 @@
    },
    "packages/cli": {
      "name": "@opencode/cli",
-      "version": "2.0.21",
+      "version": "2.0.18",
      "bin": {
        "opencode": "./bin/opencode.cjs",
        "opencode2": "./bin/opencode2.cjs",
      },
      "dependencies": {
-        "@agentclientprotocol/sdk": "1.6.0",
+        "@agentclientprotocol/sdk": "1.2.1",
        "@clack/core": "1.0.0-alpha.1",
        "@clack/prompts": "1.0.0-alpha.1",
        "@effect/platform-node": "catalog:",
@@ -178,7 +178,7 @@
    },
    "packages/client": {
      "name": "@opencode/client",
-      "version": "2.0.21",
+      "version": "2.0.18",
      "dependencies": {
        "@opencode/protocol": "workspace:*",
        "@opencode/schema": "workspace:*",
@@ -204,7 +204,7 @@
    },
    "packages/codemode": {
      "name": "@opencode/codemode",
-      "version": "2.0.21",
+      "version": "2.0.18",
      "dependencies": {
        "acorn": "8.15.0",
        "effect": "catalog:",
@@ -217,7 +217,7 @@
    },
    "packages/console/app": {
      "name": "@opencode/console-app",
-      "version": "2.0.21",
+      "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": "2.0.21",
+      "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": "2.0.21",
+      "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": "2.0.21",
+      "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": "2.0.21",
+      "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": "2.0.21",
+      "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": "2.0.21",
+      "version": "2.0.18",
      "dependencies": {
        "@zip.js/zip.js": "2.7.62",
        "electron-context-menu": "5.0.0",
@@ -424,22 +423,26 @@
        "@lydell/node-pty": "catalog:",
        "@opencode/app": "workspace:*",
        "@opencode/client": "workspace:*",
-        "@opencode/gui-extensions": "workspace:*",
+        "@opencode/plugin-browser": "workspace:*",
        "@opencode/schema": "workspace:*",
        "@opencode/ui": "workspace:*",
        "@sentry/solid": "catalog:",
        "@sentry/vite-plugin": "catalog:",
+        "@solid-primitives/storage": "catalog:",
+        "@solidjs/meta": "catalog:",
        "@solidjs/router": "catalog:",
        "@types/bun": "catalog:",
        "@types/node": "catalog:",
        "@typescript/native-preview": "catalog:",
        "app-builder-lib": "26.15.7",
+        "devtools-protocol": "0.0.1687809",
        "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",
        "solid-js": "catalog:",
        "typescript": "~5.6.2",
        "vite": "8.2.2",
@@ -455,7 +458,7 @@
    },
    "packages/enterprise": {
      "name": "@opencode/enterprise",
-      "version": "2.0.21",
+      "version": "2.0.18",
      "dependencies": {
        "@hono/standard-validator": "catalog:",
        "@opencode-ai/sdk": "1.18.21",
@@ -492,7 +495,7 @@
    },
    "packages/function": {
      "name": "@opencode/function",
-      "version": "2.0.21",
+      "version": "2.0.18",
      "dependencies": {
        "@octokit/auth-app": "8.0.1",
        "@octokit/rest": "catalog:",
@@ -506,54 +509,9 @@
        "typescript": "catalog:",
      },
    },
-    "packages/gui-extensions": {
-      "name": "@opencode/gui-extensions",
-      "version": "2.0.20",
-      "dependencies": {
-        "@dnd-kit/abstract": "0.5.0",
-        "@dnd-kit/dom": "0.5.0",
-        "@dnd-kit/solid": "0.5.0",
-        "@effect/platform-node": "catalog:",
-        "@kobalte/core": "catalog:",
-        "@opencode/client": "workspace:*",
-        "@opencode/plugin-browser": "workspace:*",
-        "@opencode/schema": "workspace:*",
-        "@opencode/session-ui": "workspace:*",
-        "@opencode/ui": "workspace:*",
-        "@opencode/util": "workspace:*",
-        "@pierre/trees": "1.0.0-beta.4",
-        "@solid-primitives/event-listener": "catalog:",
-        "@solid-primitives/keyed": "1.5.3",
-        "@solid-primitives/media": "catalog:",
-        "@solid-primitives/resize-observer": "catalog:",
-        "@solid-primitives/scheduled": "1.5.3",
-        "@tanstack/solid-query": "5.91.4",
-        "@tanstack/solid-virtual": "catalog:",
-        "effect": "catalog:",
-        "fuzzysort": "catalog:",
-        "ghostty-web": "github:anomalyco/ghostty-web#83c0a07b8628b748aed073b232cb4b52a6ca11c1",
-        "remeda": "catalog:",
-        "solid-js": "catalog:",
-        "solid-presence": "0.2.0",
-        "uqr": "0.1.3",
-      },
-      "devDependencies": {
-        "@happy-dom/global-registrator": "20.0.11",
-        "@lydell/node-pty": "catalog:",
-        "@tsconfig/node22": "catalog:",
-        "@types/bun": "catalog:",
-        "@types/node": "catalog:",
-        "@typescript/native-preview": "catalog:",
-        "devtools-protocol": "0.0.1687809",
-        "electron": "44.4.5",
-        "electron-updater": "6.8.9",
-        "lighthouse": "13.4.1",
-        "vite": "catalog:",
-      },
-    },
    "packages/http-recorder": {
      "name": "@opencode/http-recorder",
-      "version": "2.0.21",
+      "version": "2.0.18",
      "dependencies": {
        "@effect/platform-node-shared": "4.0.0-rc.112",
      },
@@ -572,7 +530,7 @@
    },
    "packages/httpapi-codegen": {
      "name": "@opencode/httpapi-codegen",
-      "version": "2.0.21",
+      "version": "2.0.18",
      "dependencies": {
        "effect": "catalog:",
        "prettier": "3.6.2",
@@ -585,7 +543,7 @@
    },
    "packages/latex": {
      "name": "@opencode/latex",
-      "version": "2.0.21",
+      "version": "2.0.18",
      "dependencies": {
        "@opencode/plugin": "workspace:*",
        "@opentui/core": "catalog:",
@@ -599,7 +557,7 @@
    },
    "packages/merman": {
      "name": "@opencode/merman",
-      "version": "2.0.21",
+      "version": "2.0.18",
      "dependencies": {
        "@opencode/plugin": "workspace:*",
        "@opentui/core": "catalog:",
@@ -614,7 +572,7 @@
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      "name": "@opencode/plugin",
-      "version": "2.0.21",
+      "version": "2.0.18",
      "dependencies": {
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        "@opencode/ai": "workspace:*",
@@ -640,8 +598,8 @@
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      "peerDependencies": {
        "@opencode/theme": "workspace:*",
-        "@opentui/core": ">=0.5.14",
-        "@opentui/solid": ">=0.5.14",
+        "@opentui/core": ">=0.5.12",
+        "@opentui/solid": ">=0.5.12",
        "solid-js": ">=1.9.0",
      },
      "optionalPeers": [
@@ -653,7 +611,7 @@
    },
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-      "version": "2.0.21",
+      "version": "2.0.18",
      "dependencies": {
        "@opencode/plugin": "workspace:*",
        "@opencode/schema": "workspace:*",
@@ -683,7 +641,7 @@
    },
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      "name": "@opencode/protocol",
-      "version": "2.0.21",
+      "version": "2.0.18",
      "dependencies": {
        "@opencode/schema": "workspace:*",
        "effect": "catalog:",
@@ -698,7 +656,7 @@
    },
    "packages/schema": {
      "name": "@opencode/schema",
-      "version": "2.0.21",
+      "version": "2.0.18",
      "dependencies": {
        "@standard-schema/spec": "catalog:",
        "effect": "catalog:",
@@ -722,7 +680,7 @@
    },
    "packages/sdk": {
      "name": "@opencode/sdk",
-      "version": "2.0.21",
+      "version": "2.0.18",
      "dependencies": {
        "@opencode/client": "workspace:*",
        "@opencode/core": "workspace:*",
@@ -743,7 +701,7 @@
    },
    "packages/server": {
      "name": "@opencode/server",
-      "version": "2.0.21",
+      "version": "2.0.18",
      "dependencies": {
        "@effect/platform-node": "catalog:",
        "@effect/platform-node-shared": "catalog:",
@@ -765,7 +723,7 @@
    },
    "packages/session-ui": {
      "name": "@opencode/session-ui",
-      "version": "2.0.21",
+      "version": "2.0.18",
      "dependencies": {
        "@kobalte/core": "catalog:",
        "@opencode/client": "workspace:*",
@@ -800,7 +758,7 @@
    },
    "packages/simulation": {
      "name": "@opencode/simulation",
-      "version": "2.0.21",
+      "version": "2.0.18",
      "dependencies": {
        "@opencode/ai": "workspace:*",
        "@opencode/core": "workspace:*",
@@ -820,7 +778,7 @@
    },
    "packages/stats/app": {
      "name": "@opencode/stats-app",
-      "version": "2.0.21",
+      "version": "2.0.18",
      "dependencies": {
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        "@kobalte/core": "catalog:",
@@ -854,7 +812,7 @@
    },
    "packages/stats/core": {
      "name": "@opencode/stats-core",
-      "version": "2.0.21",
+      "version": "2.0.18",
      "dependencies": {
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        "@planetscale/database": "1.19.0",
@@ -873,7 +831,7 @@
    },
    "packages/stats/server": {
      "name": "@opencode/stats-server",
-      "version": "2.0.21",
+      "version": "2.0.18",
      "dependencies": {
        "@aws-sdk/client-firehose": "3.933.0",
        "@effect/platform-node": "catalog:",
@@ -919,7 +877,7 @@
    },
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      "name": "@opencode/theme",
-      "version": "2.0.21",
+      "version": "2.0.18",
      "dependencies": {
        "@opentui/core": "catalog:",
        "effect": "catalog:",
@@ -933,7 +891,7 @@
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      "name": "@opencode/tui",
-      "version": "2.0.21",
+      "version": "2.0.18",
      "dependencies": {
        "@opencode/client": "workspace:*",
        "@opencode/core": "workspace:*",
@@ -967,7 +925,7 @@
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-      "version": "2.0.21",
+      "version": "2.0.18",
      "dependencies": {
        "@kobalte/core": "catalog:",
        "@pierre/diffs": "catalog:",
@@ -1002,7 +960,7 @@
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      "name": "@opencode/util",
-      "version": "2.0.21",
+      "version": "2.0.18",
      "dependencies": {
        "@effect/opentelemetry": "catalog:",
        "@effect/platform-node": "catalog:",
@@ -1040,7 +998,7 @@
    },
    "packages/web": {
      "name": "@opencode/web",
-      "version": "2.0.21",
+      "version": "2.0.18",
      "dependencies": {
        "@astrojs/cloudflare": "12.6.3",
        "@astrojs/markdown-remark": "6.3.1",
@@ -1081,7 +1039,7 @@
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    "services/update": {
      "name": "@opencode/update",
-      "version": "2.0.21",
+      "version": "2.0.18",
      "dependencies": {
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        "semver": "catalog:",
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-    "@opentui/keymap": "0.5.14",
-    "@opentui/solid": "0.5.14",
-    "@pierre/diffs": "1.5.1",
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+    "@opentui/keymap": "0.5.12",
+    "@opentui/solid": "0.5.12",
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-
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    "@opencode/httpapi-codegen": ["@opencode/httpapi-codegen@workspace:packages/httpapi-codegen"],
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@@ -2576,11 +2530,11 @@

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-    "@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=="],

@@ -3916,7 +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=="],

@@ -6244,8 +6198,6 @@

    "@opencode/files/wrangler": ["wrangler@4.110.0", "", { "dependencies": { "@cloudflare/kv-asset-handler": "0.5.0", "@cloudflare/unenv-preset": "2.16.1", "blake3-wasm": "2.1.5", "esbuild": "0.28.1", "miniflare": "4.20260708.1", "path-to-regexp": "6.3.0", "unenv": "2.0.0-rc.24", "workerd": "1.20260708.1" }, "optionalDependencies": { "fsevents": "2.3.3" }, "peerDependencies": { "@cloudflare/workers-types": "^5.20260708.1" }, "optionalPeers": ["@cloudflare/workers-types"], "bin": { "wrangler": "bin/wrangler.js", "wrangler2": "bin/wrangler.js", "cf-wrangler": "bin/cf-wrangler.js" } }, "sha512-xZeXKYi7hxQRF5anL+v77RkufJNpF9f3Eqeyqq2QBsETpLZgh0Agj0jJ6JPtkbgn6ukZdh8OK5egsGPWIditgg=="],

-    "@opencode/gui-extensions/vite": ["vite@7.3.6", "", { "dependencies": { "esbuild": "^0.27.0 || ^0.28.0", "fdir": "^6.5.0", "picomatch": "^4.0.3", "postcss": "^8.5.6", "rollup": "^4.43.0", "tinyglobby": "^0.2.15" }, "optionalDependencies": { "fsevents": "~2.3.3" }, "peerDependencies": { "@types/node": "^20.19.0 || >=22.12.0", "jiti": ">=1.21.0", "less": "^4.0.0", "lightningcss": "^1.21.0", "sass": "^1.70.0", "sass-embedded": "^1.70.0", "stylus": ">=0.54.8", "sugarss": "^5.0.0", "terser": "^5.16.0", "tsx": "^4.8.1", "yaml": "^2.4.2" }, "optionalPeers": ["@types/node", "jiti", "less", "lightningcss", "sass", "sass-embedded", "stylus", "sugarss", "terser", "tsx", "yaml"], "bin": { "vite": "bin/vite.js" } }, "sha512-4XP60spRGjSZFf1qYH+dJIkK2znL3zQfl9KkOV9MkkRR/3Dls0dxaBsQPTloEc5BLXWPL9vsOxopxyKoMmDueg=="],
-
    "@opencode/posts/wrangler": ["wrangler@4.110.0", "", { "dependencies": { "@cloudflare/kv-asset-handler": "0.5.0", "@cloudflare/unenv-preset": "2.16.1", "blake3-wasm": "2.1.5", "esbuild": "0.28.1", "miniflare": "4.20260708.1", "path-to-regexp": "6.3.0", "unenv": "2.0.0-rc.24", "workerd": "1.20260708.1" }, "optionalDependencies": { "fsevents": "2.3.3" }, "peerDependencies": { "@cloudflare/workers-types": "^5.20260708.1" }, "optionalPeers": ["@cloudflare/workers-types"], "bin": { "wrangler": "bin/wrangler.js", "wrangler2": "bin/wrangler.js", "cf-wrangler": "bin/cf-wrangler.js" } }, "sha512-xZeXKYi7hxQRF5anL+v77RkufJNpF9f3Eqeyqq2QBsETpLZgh0Agj0jJ6JPtkbgn6ukZdh8OK5egsGPWIditgg=="],

    "@opencode/session-ui/vite": ["vite@7.3.6", "", { "dependencies": { "esbuild": "^0.27.0 || ^0.28.0", "fdir": "^6.5.0", "picomatch": "^4.0.3", "postcss": "^8.5.6", "rollup": "^4.43.0", "tinyglobby": "^0.2.15" }, "optionalDependencies": { "fsevents": "~2.3.3" }, "peerDependencies": { "@types/node": "^20.19.0 || >=22.12.0", "jiti": ">=1.21.0", "less": "^4.0.0", "lightningcss": "^1.21.0", "sass": "^1.70.0", "sass-embedded": "^1.70.0", "stylus": ">=0.54.8", "sugarss": "^5.0.0", "terser": "^5.16.0", "tsx": "^4.8.1", "yaml": "^2.4.2" }, "optionalPeers": ["@types/node", "jiti", "less", "lightningcss", "sass", "sass-embedded", "stylus", "sugarss", "terser", "tsx", "yaml"], "bin": { "vite": "bin/vite.js" } }, "sha512-4XP60spRGjSZFf1qYH+dJIkK2znL3zQfl9KkOV9MkkRR/3Dls0dxaBsQPTloEc5BLXWPL9vsOxopxyKoMmDueg=="],
@@ -6306,7 +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=="],

@@ -7204,6 +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=="],
@@ -12,6 +12,7 @@
        "aarch64-linux"
        "x86_64-linux"
        "aarch64-darwin"
+        "x86_64-darwin"
      ];
      forEachSystem = f: nixpkgs.lib.genAttrs systems (system: f nixpkgs.legacyPackages.${system});
      rev = self.shortRev or self.dirtyShortRev or "dirty";
@@ -21,7 +22,7 @@
        default = pkgs.mkShell {
          packages = with pkgs; [
            bun
-            nodejs
+            nodejs_20
            pkg-config
            openssl
            git
@@ -7,6 +7,7 @@ in
  aarch64-linux = "20e68d6c4e47f3ebf59de7c6b1f8b8bec6a6ebda6a451132f9b465f3f13ce467";
  x86_64-linux = "2452b27112d92387471fa2488aafac85d79ea3f2ee1216c0abd5150d6c12362b";
  aarch64-darwin = "ac7194a3dfd81930ba35355c01620262c1254752859b42dcb8f4b9e4d174a871";
+  x86_64-darwin = "4489aba55477a0082266cb690db1c829503ba3338048599d8fd243953df37dab";
  # fetchzip hashes the unpacked headers, not the release tarball.
  headers = "sha256-4eUy3BZVvxTl7KUOsxio7769lL6ag/ecbeK+qLURWMI=";
 }
@@ -1,7 +1,8 @@
 {
  "nodeModules": {
-    "x86_64-linux": "sha256-g3k0cAFGqzmRYlcIkg1NDvlx1WxHYhnYPL0/a8E+qTg=",
-    "aarch64-linux": "sha256-a+3ymqdxOONGe2Tpq4GUccl1b+Dwzxlb9LFXgE1gZ+0=",
-    "aarch64-darwin": "sha256-h8xIzuMmaWfJqjHCO74xUDCWNKQLFrIGoKYZ+2TauYc="
+    "x86_64-linux": "sha256-7DgxTpKv6ITKTom0mhlJNPQfdEjtEHK5P8uyCr26HZw=",
+    "aarch64-linux": "sha256-PJxW1Ibfx6oS1neWPSHqzP1Pm1HT9my1TrrHmOb6/no=",
+    "aarch64-darwin": "sha256-VIme5VHfM8JxNiDSOykkr5FytghDLI0FxkhiOXUSyQw=",
+    "x86_64-darwin": "sha256-rQ/j0QkR1vxAq4jgUbr0nY4RDyiLTJqN8q1AfoiEqVQ="
  }
 }
@@ -81,5 +81,6 @@ stdenvNoCC.mkDerivation {
    "aarch64-linux"
    "x86_64-linux"
    "aarch64-darwin"
+    "x86_64-darwin"
  ];
 }
@@ -2,7 +2,7 @@
  "$schema": "https://json.schemastore.org/package.json",
  "name": "opencode",
  "description": "AI-powered development tool",
-  "version": "2.0.21",
+  "version": "2.0.18",
  "private": true,
  "type": "module",
  "packageManager": "bun@1.4.2",
@@ -18,7 +18,7 @@
    "dev:www": "bun run --cwd services/www dev",
    "dev:storybook": "bun --cwd packages/storybook storybook",
    "bench:devex": "bun run --cwd packages/app test:bench:devex",
-    "lint": "oxlint && ast-grep scan -c script/ast-grep/gui-extensions/sgconfig.yml",
+    "lint": "oxlint",
    "lint:effect-patterns": "ast-grep scan -c script/ast-grep/sgconfig.yml packages/util/src packages/core/src packages/server/src packages/protocol/src packages/cli/src",
    "lint:effect-simplifications": "ast-grep scan -c script/ast-grep/effect-simplifications/sgconfig.yml --off=unused-suppression packages",
    "test:lint-rules": "ast-grep test -c script/ast-grep/sgconfig.yml",
@@ -52,9 +52,9 @@
      "@octokit/rest": "22.0.0",
      "@hono/standard-validator": "0.2.0",
      "@hono/zod-validator": "0.4.2",
-      "@opentui/core": "0.5.14",
-      "@opentui/keymap": "0.5.14",
-      "@opentui/solid": "0.5.14",
+      "@opentui/core": "0.5.12",
+      "@opentui/keymap": "0.5.12",
+      "@opentui/solid": "0.5.12",
      "@tanstack/solid-virtual": "3.13.37",
      "@shikijs/stream": "4.4.3",
      "@standard-schema/spec": "1.1.0",
@@ -68,7 +68,7 @@
      "@tsconfig/bun": "1.0.9",
      "@cloudflare/workers-types": "4.20251008.0",
      "@openauthjs/openauth": "0.0.0-20250322224806",
-      "@pierre/diffs": "1.5.1",
+      "@pierre/diffs": "1.2.10",
      "opentui-spinner": "0.0.7",
      "@solid-primitives/event-listener": "2.4.6",
      "@solid-primitives/media": "2.3.6",
@@ -117,11 +117,10 @@
    "@actions/artifact": "5.0.1",
    "@ast-grep/cli": "0.44.0",
    "@opencode/client": "workspace:*",
-    "@oxlint/plugins": "1.60.0",
-    "@tsconfig/bun": "catalog:",
-    "@types/mime-types": "3.0.1",
    "@types/react": "19.2.17",
    "@types/react-dom": "19.2.3",
+    "@tsconfig/bun": "catalog:",
+    "@types/mime-types": "3.0.1",
    "@typescript/native-preview": "catalog:",
    "glob": "13.0.5",
    "husky": "9.1.7",
@@ -1223,7 +1223,7 @@ const gateway = CloudflareAIGateway.configure({
 }).model("workers-ai/@cf/meta/llama-3.1-8b-instruct")
 ```

-Included LLM providers: OpenAI, Anthropic, Google (Gemini), Google Vertex, Amazon Bedrock, Azure OpenAI, Baseten, Cerebras, Cohere, Cloudflare AI Gateway, Cloudflare Workers AI, DeepInfra, DeepSeek, Fireworks, Groq, Mistral, OpenRouter, TogetherAI, and xAI. Z.ai currently exposes image generation. Generic Chat Completions, Responses, and Anthropic Messages-compatible entrypoints support custom endpoints.
+Included LLM providers: OpenAI, Anthropic, Google (Gemini), Google Vertex, Amazon Bedrock, Azure OpenAI, Baseten, Cerebras, Cloudflare AI Gateway, Cloudflare Workers AI, DeepInfra, DeepSeek, Fireworks, Groq, Mistral, OpenRouter, TogetherAI, and xAI. Z.ai currently exposes image generation. Generic Chat Completions, Responses, and Anthropic Messages-compatible entrypoints support custom endpoints.

 Each named provider owns its module, endpoint, authentication, and route setup. Providers with the same wire format compose the shared protocol directly:

@@ -1,6 +1,6 @@
 {
  "$schema": "https://json.schemastore.org/package.json",
-  "version": "2.0.21",
+  "version": "2.0.18",
  "name": "@opencode/ai",
  "type": "module",
  "license": "MIT",
@@ -38,31 +38,12 @@ const resolve = (policy: CachePolicy | undefined): CachePolicyObject => {
 // prefix caching, Gemini's implicit + out-of-band CachedContent). Skip the
 // whole policy pass for these — emitting hints would be harmless but pointless.
 const RESPECTS_INLINE_HINTS = new Set([
-  "alibaba-messages",
  "anthropic-messages",
-  "anthropic-compatible-messages",
-  "cloudflare-ai-gateway-messages",
  "google-vertex-messages",
-  "meta-messages",
-  "minimax-messages",
-  "moonshot-messages",
-  "zai-coding-messages",
  "bedrock-converse",
  "openrouter",
-  "digitalocean",
 ])

-// OpenRouter upstreams other than Anthropic and Alibaba Qwen cache without breakpoints. Gemini uses only the last
-// breakpoint, so a conversation-tail breakpoint writes a new cache every step and costs more than none. Qwen ignores
-// breakpoints on tool definitions and caches tools with the system prompt.
-const openRouterPolicy = (modelID: string): CachePolicyObject => {
-  // `~anthropic/claude-sonnet-latest` style IDs are OpenRouter aliases for the latest model in a family.
-  const id = modelID.replace(/^~/, "")
-  if (id.startsWith("anthropic/")) return AUTO
-  if (id.startsWith("qwen/")) return { system: true, messages: { tail: 1 } }
-  return NONE
-}
-
 const makeHint = (ttlSeconds: number | undefined): CacheHint =>
  ttlSeconds !== undefined ? new CacheHint({ type: "ephemeral", ttlSeconds }) : new CacheHint({ type: "ephemeral" })

@@ -168,10 +149,9 @@ const countHints = (request: LLMRequest) =>

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

  const hint = makeHint(policy.ttlSeconds)
@@ -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"

@@ -451,9 +450,6 @@ const AnthropicStreamDelta = Schema.Struct({
  signature: Schema.optional(Schema.String),
  stop_reason: optionalNull(Schema.String),
  stop_sequence: optionalNull(Schema.String),
-  stop_details: optionalNull(
-    Schema.Struct({ category: optionalNull(Schema.String), explanation: optionalNull(Schema.String) }),
-  ),
 })
 type AnthropicStreamDelta = Schema.Schema.Type<typeof AnthropicStreamDelta>
 const decodeAnthropicStreamDelta = Schema.decodeUnknownOption(AnthropicStreamDelta)
@@ -807,12 +803,15 @@ const requireThinkingSignature = (request: LLMRequest) => {
 // Mid-conversation system messages became available with Opus 4.8 and version
 // 5 of the other supported Claude families. Treat later family versions as
 // compatible without assuming that every Anthropic Messages model is Claude.
-// Opus 4.8 and every Claude 5 model accept mid-conversation system messages; later versions inherit support.
 const supportsNativeSystemUpdates = (request: LLMRequest) => {
-  const version = claudeVersion(String(request.model.id))
-  if (version === undefined) return false
-  if (version.family === "opus" && version.major === 4) return version.minor >= 8
-  return version.major >= 5
+  const match = /(?:^|[./])claude-(fable|haiku|mythos|opus|sonnet)-(\d+)(?:[.-](\d+))?/.exec(
+    String(request.model.id).toLowerCase(),
+  )
+  if (!match) return false
+  const major = Number(match[2])
+  if (match[1] !== "opus") return major >= 5
+  if (major !== 4) return major >= 5
+  return match[3] !== undefined && match[3].length <= 2 && Number(match[3]) >= 8
 }

 const endsInServerToolUse = (message: LLMRequest["messages"][number]) => {
@@ -989,13 +988,29 @@ const lowerMessages = Effect.fn("AnthropicMessages.lowerMessages")(function* (
  return messages
 })

-// Per-turn effort started with Claude Opus 5 and every Claude 5.1 model; later versions of any family inherit it.
+// 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
  const version = claudeVersion(model.id)
  if (version === undefined) return false
-  if (version.family === "opus" && version.major >= 5) return true
+  if (version.family === "opus") return version.major >= 5
+  if (version.family !== "fable" && version.family !== "mythos") return false
  return version.major > 5 || (version.major === 5 && version.minor >= 1)
 }

@@ -1417,14 +1432,10 @@ const onMessageDelta = (
      stopSequence === null || stopSequence === undefined
        ? state.pendingFinish?.providerMetadata
        : providerMetadata(state.providerMetadataKey, { stopSequence })
-    const category = event.delta?.stop_details?.category
-    const explanation = event.delta?.stop_details?.explanation
    return {
      reason: {
        normalized: mapFinishReason(stopReason),
        raw: stopReason,
-        ...(category ? { category } : {}),
-        ...(explanation ? { explanation } : {}),
      },
      providerMetadata: finishMetadata,
    }
@@ -1641,7 +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"
@@ -319,9 +318,6 @@ const lowerToolResult = Effect.fn("BedrockConverse.lowerToolResult")(function* (
  } satisfies BedrockToolResultBlock
 })

-// Keep Claude and Nova tool-result images inline; put other models' images beside the result.
-const keepToolImagesInline = (id: string) => id.includes("anthropic.claude-") || id.includes("amazon.nova-")
-
 const lowerMessages = Effect.fn("BedrockConverse.lowerMessages")(function* (
  request: LLMRequest,
  breakpoints: BedrockCache.Breakpoints,
@@ -331,19 +327,8 @@ const lowerMessages = Effect.fn("BedrockConverse.lowerMessages")(function* (
  // Mistral can reject replay IDs even when they satisfy Converse's broader ID syntax.
  const normalizeID = request.model.id.includes("mistral.") ? MistralToolID.normalizer(request) : (id: string) => id
  const providerMetadataKey = request.model.route.providerMetadataKey ?? String(request.model.provider)
-  const hoistImages = !keepToolImagesInline(request.model.id)
-  // Bedrock expects parallel tool results before any images hoisted beside them.
-  const pendingImages: BedrockMedia.ImageBlock[] = []
-  const flushImages = () => {
-    if (pendingImages.length === 0) return
-    const previous = messages.at(-1)
-    if (previous?.role === "user")
-      messages[messages.length - 1] = { role: "user", content: [...previous.content, ...pendingImages] }
-    pendingImages.length = 0
-  }

  for (const message of request.messages) {
-    if (message.role !== "tool") flushImages()
    if (message.role === "system") {
      const part = yield* ProviderShared.wrappedSystemUpdate("Bedrock Converse", message)
      const content = textWithCache(breakpoints, part.text, part.cache)
@@ -417,22 +402,7 @@ const lowerMessages = Effect.fn("BedrockConverse.lowerMessages")(function* (
    for (const part of message.content) {
      if (!ProviderShared.supportsContent(part, ["tool-result"]))
        return yield* ProviderShared.unsupportedContent("Bedrock Converse", "tool", ["tool-result"])
-      const result = yield* lowerToolResult(part, documentNames, normalizeID)
-      const images: BedrockMedia.ImageBlock[] = hoistImages
-        ? result.toolResult.content.filter((item) => "image" in item)
-        : []
-      const nonImageContent = result.toolResult.content.filter((item) => !("image" in item))
-      content.push(
-        images.length === 0
-          ? result
-          : {
-              toolResult: {
-                ...result.toolResult,
-                content: nonImageContent.length > 0 ? nonImageContent : [{ text: "See attached image." }],
-              },
-            },
-      )
-      pendingImages.push(...images)
+      content.push(yield* lowerToolResult(part, documentNames, normalizeID))
      const cachePoint = BedrockCache.block(breakpoints, part.cache)
      if (cachePoint) content.push(cachePoint)
    }
@@ -442,7 +412,6 @@ const lowerMessages = Effect.fn("BedrockConverse.lowerMessages")(function* (
    else messages.push({ role: "user", content })
  }

-  flushImages()
  return messages
 })

@@ -474,23 +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)
@@ -498,8 +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
      : {
@@ -509,8 +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)
@@ -559,8 +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] }),
          },
  }
 })
@@ -607,7 +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))
@@ -657,9 +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,
@@ -670,21 +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-${index}`, reasoning.text ?? "", metadata)
      })()
      const reasoningRedactedContent = (() => {
-        if (redactedChunk !== undefined) return { ...state.reasoningRedactedContent, [index]: redactedChunks }
+        if (redactedChunks !== undefined) return { ...state.reasoningRedactedContent, [index]: redactedChunks }
        if (reasoning.data === undefined) return state.reasoningRedactedContent
        return Object.fromEntries(
          Object.entries(state.reasoningRedactedContent).filter(([key]) => key !== String(index)),
@@ -820,19 +765,7 @@ const onHalt = (state: ParserState): ReadonlyArray<LLMEvent> => {
    return state.finishReason.normalized
  })()
  const events: LLMEvent[] = []
-  const lifecycle = Object.entries(state.reasoningRedactedContent).reduce((current, [index, chunks]) => {
-    const signature = state.reasoningSignatures[Number(index)]
-    return Lifecycle.reasoningEnd(
-      current,
-      events,
-      `reasoning-${index}`,
-      providerMetadata(
-        state.providerMetadataKey,
-        signature ? { signature } : { redactedData: encodeRedactedContent(chunks) },
-      ),
-    )
-  }, state.lifecycle)
-  Lifecycle.finish(lifecycle, events, {
+  Lifecycle.finish(state.lifecycle, events, {
    reason: {
      ...state.finishReason,
      normalized,
@@ -1,326 +0,0 @@
-import { Effect, Schema } from "effect"
-import { Route } from "../route/client.js"
-import { Endpoint } from "../route/endpoint.js"
-import { Framing } from "../route/framing.js"
-import { Protocol } from "../route/protocol.js"
-import { LLMEvent, Usage, type FinishReasonDetails, type LLMRequest } from "../schema/index.js"
-import { ProviderShared } from "./shared.js"
-import { Lifecycle } from "./utils/lifecycle.js"
-import { ToolStream } from "./utils/tool-stream.js"
-
-const ADAPTER = "cohere-chat"
-export const DEFAULT_BASE_URL = "https://api.cohere.com/v2"
-
-const Options = Schema.Struct({
-  thinking: Schema.optional(
-    Schema.Struct({
-      type: Schema.optional(Schema.Literals(["enabled", "disabled"])),
-      tokenBudget: Schema.optional(Schema.Int.check(Schema.isGreaterThan(0))),
-    }),
-  ),
-})
-export type ProviderOptionsInput = Schema.Schema.Type<typeof Options>
-
-const Content = Schema.Union([
-  Schema.Struct({ type: Schema.Literal("text"), text: Schema.String }),
-  Schema.Struct({ type: Schema.Literal("thinking"), thinking: Schema.String }),
-  Schema.Struct({ type: Schema.Literal("image_url"), image_url: Schema.Struct({ url: Schema.String }) }),
-])
-const ToolCall = Schema.Struct({
-  id: Schema.String,
-  type: Schema.Literal("function"),
-  function: Schema.Struct({ name: Schema.String, arguments: Schema.String }),
-})
-const Message = Schema.Struct({
-  role: Schema.Literals(["system", "user", "assistant", "tool"]),
-  content: Schema.optional(Schema.Union([Schema.String, Schema.Array(Content)])),
-  tool_calls: Schema.optional(Schema.Array(ToolCall)),
-  tool_call_id: Schema.optional(Schema.String),
-  tool_plan: Schema.optional(Schema.String),
-})
-const Body = Schema.Struct({
-  model: Schema.String,
-  messages: Schema.Array(Message),
-  stream: Schema.Literal(true),
-  tools: Schema.optional(
-    Schema.Array(
-      Schema.Struct({
-        type: Schema.Literal("function"),
-        function: Schema.Struct({
-          name: Schema.String,
-          description: Schema.optional(Schema.String),
-          parameters: Schema.Unknown,
-        }),
-      }),
-    ),
-  ),
-  tool_choice: Schema.optional(Schema.Literals(["NONE", "REQUIRED"])),
-  thinking: Schema.optional(Schema.Struct({ type: Schema.String, token_budget: Schema.optional(Schema.Number) })),
-  max_tokens: Schema.optional(Schema.Number),
-  temperature: Schema.optional(Schema.Number),
-  p: Schema.optional(Schema.Number),
-  k: Schema.optional(Schema.Number),
-  seed: Schema.optional(Schema.Number),
-  stop_sequences: Schema.optional(Schema.Array(Schema.String)),
-  frequency_penalty: Schema.optional(Schema.Number),
-  presence_penalty: Schema.optional(Schema.Number),
-})
-const TokenCounts = Schema.Struct({
-  input_tokens: Schema.optional(Schema.Number),
-  output_tokens: Schema.optional(Schema.Number),
-  reasoning_tokens: Schema.optional(Schema.Number),
-})
-const NativeUsage = Schema.Struct({
-  tokens: Schema.optional(TokenCounts),
-  billed_units: Schema.optional(TokenCounts),
-  cached_tokens: Schema.optional(Schema.Number),
-})
-const Event = Schema.Union([
-  Schema.Struct({ type: Schema.Literal("message-start") }),
-  Schema.Struct({
-    type: Schema.Literals(["content-start", "content-delta"]),
-    index: Schema.Number,
-    delta: Schema.Struct({
-      message: Schema.Struct({
-        content: Schema.Struct({ text: Schema.optional(Schema.String), thinking: Schema.optional(Schema.String) }),
-      }),
-    }),
-  }),
-  Schema.Struct({ type: Schema.Literal("content-end"), index: Schema.Number }),
-  Schema.Struct({
-    type: Schema.Literal("tool-plan-delta"),
-    delta: Schema.Struct({ message: Schema.Struct({ tool_plan: Schema.String }) }),
-  }),
-  Schema.Struct({
-    type: Schema.Literals(["tool-call-start", "tool-call-delta"]),
-    index: Schema.Number,
-    delta: Schema.Struct({
-      message: Schema.Struct({
-        tool_calls: Schema.Struct({
-          id: Schema.optional(Schema.String),
-          function: Schema.Struct({ name: Schema.optional(Schema.String), arguments: Schema.optional(Schema.String) }),
-        }),
-      }),
-    }),
-  }),
-  Schema.Struct({ type: Schema.Literal("tool-call-end"), index: Schema.Number }),
-  Schema.Struct({
-    type: Schema.Literal("message-end"),
-    delta: Schema.Struct({ finish_reason: Schema.String, usage: Schema.optional(NativeUsage) }),
-  }),
-  // Citation output is outside this basic chat surface.
-  Schema.Struct({ type: Schema.Literals(["citation-start", "citation-end"]) }),
-])
-type Event = typeof Event.Type
-type State = {
-  readonly lifecycle: Lifecycle.State
-  readonly tools: ToolStream.State<number>
-  readonly finished: boolean
-}
-
-const TOOL_CHOICE = { auto: undefined, none: "NONE", required: "REQUIRED", tool: "REQUIRED" } as const
-
-const fromRequest = Effect.fn("CohereChat.fromRequest")(function* (request: LLMRequest) {
-  const options = yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(Options))(request.providerOptions ?? {})
-  const flattened = ProviderShared.flattenToolRequest(request)
-  const messages: (typeof Message.Type)[] = request.system.length
-    ? [{ role: "system", content: ProviderShared.joinText(request.system) }]
-    : []
-  for (const message of flattened.request.messages) {
-    if (message.role === "system") {
-      messages.push({ role: "user", content: (yield* ProviderShared.wrappedSystemUpdate("Cohere Chat", message)).text })
-      continue
-    }
-    if (message.role === "tool") {
-      for (const part of message.content) {
-        if (part.type !== "tool-result")
-          return yield* ProviderShared.unsupportedContent("Cohere Chat", "tool", ["tool-result"])
-        if (part.result.type === "content" && part.result.value.some((item) => item.type === "file"))
-          return yield* ProviderShared.invalidRequest("Cohere Chat does not support file content in tool results")
-        messages.push({ role: "tool", tool_call_id: part.id, content: ProviderShared.toolResultText(part) })
-      }
-      continue
-    }
-    const content: (typeof Content.Type)[] = []
-    const calls: (typeof ToolCall.Type)[] = []
-    const plans: string[] = []
-    for (const part of message.content) {
-      if (part.type === "text") {
-        content.push({ type: "text", text: part.text })
-        continue
-      }
-      if (message.role === "assistant" && part.type === "reasoning") {
-        if (part.providerMetadata?.cohere?.toolPlan === true) plans.push(part.text)
-        else content.push({ type: "thinking", thinking: part.text })
-        continue
-      }
-      if (message.role === "assistant" && part.type === "tool-call") {
-        const args = ProviderShared.encodeJson(part.input)
-        calls.push({ id: part.id, type: "function", function: { name: part.name, arguments: args } })
-        continue
-      }
-      if (message.role === "user" && part.type === "media" && part.media.mediaType.startsWith("image/")) {
-        const url =
-          ProviderShared.mediaUrl(part.media) ??
-          (yield* ProviderShared.requireInlineMedia("Cohere Chat", part.media)).dataUrl
-        content.push({ type: "image_url", image_url: { url } })
-        continue
-      }
-      return yield* ProviderShared.unsupportedContent(
-        "Cohere Chat",
-        message.role,
-        message.role === "user" ? ["text", "media"] : ["text", "reasoning", "tool-call"],
-      )
-    }
-    messages.push({
-      role: message.role,
-      content: content.length ? content : undefined,
-      tool_calls: calls.length ? calls : undefined,
-      tool_plan: plans.length ? plans.join("") : undefined,
-    })
-  }
-  const selected = request.toolChoice?.type === "tool" ? request.toolChoice.name : undefined
-  const tools = selected === undefined ? flattened.tools : flattened.tools.filter((tool) => tool.name === selected)
-  if (selected !== undefined && tools.length === 0)
-    return yield* ProviderShared.invalidRequest("Cohere Chat tool choice must name an available tool")
-  if (tools.some((tool) => tool.native !== undefined))
-    return yield* ProviderShared.invalidRequest("Cohere Chat does not support provider-defined tools")
-  return {
-    model: request.model.id,
-    messages,
-    stream: true as const,
-    tools: tools.length
-      ? tools.map((tool) => ({
-          type: "function" as const,
-          function: { name: tool.name, description: tool.description, parameters: tool.inputSchema },
-        }))
-      : undefined,
-    tool_choice: TOOL_CHOICE[request.toolChoice?.type ?? "auto"],
-    thinking: options.thinking && {
-      type: options.thinking.type ?? "enabled",
-      // Cohere rejects budgets above max_tokens; fitting also leaves room for the answer.
-      token_budget:
-        options.thinking.tokenBudget === undefined
-          ? undefined
-          : ProviderShared.fitThinkingBudget(options.thinking.tokenBudget, request.generation?.maxTokens),
-    },
-    max_tokens: request.generation?.maxTokens,
-    temperature: request.generation?.temperature,
-    p: request.generation?.topP,
-    k: request.generation?.topK,
-    seed: request.generation?.seed,
-    stop_sequences: request.generation?.stop,
-    frequency_penalty: request.generation?.frequencyPenalty,
-    presence_penalty: request.generation?.presencePenalty,
-  }
-})
-
-const finishReason = (raw: string): FinishReasonDetails => {
-  switch (raw) {
-    case "COMPLETE":
-    case "STOP_SEQUENCE":
-      return { normalized: "stop", raw }
-    case "MAX_TOKENS":
-      return { normalized: "length", raw }
-    case "TOOL_CALL":
-      return { normalized: "tool-calls", raw }
-    case "ERROR":
-    case "TIMEOUT":
-      return { normalized: "error", raw }
-    default:
-      return { normalized: "unknown", raw }
-  }
-}
-
-const mapUsage = (usage: typeof NativeUsage.Type) =>
-  new Usage({
-    inputTokens: usage.tokens?.input_tokens,
-    outputTokens: usage.tokens?.output_tokens,
-    nonCachedInputTokens: ProviderShared.subtractTokens(usage.tokens?.input_tokens, usage.cached_tokens),
-    cacheReadInputTokens: usage.cached_tokens,
-    reasoningTokens: usage.tokens?.reasoning_tokens,
-    totalTokens: ProviderShared.totalTokens(usage.tokens?.input_tokens, usage.tokens?.output_tokens, undefined),
-    providerMetadata: { cohere: usage },
-  })
-
-// Lifecycle deltas open blocks on demand and ends are no-ops for closed blocks, so content-start needs no handling.
-const step = Effect.fn("CohereChat.step")(function* (state: State, event: Event) {
-  const events: LLMEvent[] = []
-  switch (event.type) {
-    case "message-start":
-      return [{ ...state, lifecycle: Lifecycle.stepStart(state.lifecycle, events) }, events] as const
-    case "content-delta": {
-      const id = String(event.index)
-      const content = event.delta.message.content
-      const lifecycle =
-        content.thinking !== undefined
-          ? Lifecycle.reasoningDelta(state.lifecycle, events, id, content.thinking)
-          : Lifecycle.textDelta(state.lifecycle, events, id, content.text ?? "")
-      return [{ ...state, lifecycle }, events] as const
-    }
-    case "content-end": {
-      const id = String(event.index)
-      const lifecycle = Lifecycle.textEnd(Lifecycle.reasoningEnd(state.lifecycle, events, id), events, id)
-      return [{ ...state, lifecycle }, events] as const
-    }
-    case "tool-plan-delta": {
-      const plan = event.delta.message.tool_plan
-      const lifecycle = Lifecycle.reasoningDelta(state.lifecycle, events, "tool-plan", plan, {
-        cohere: { toolPlan: true },
-      })
-      return [{ ...state, lifecycle }, events] as const
-    }
-    case "tool-call-start":
-    case "tool-call-delta": {
-      const call = event.delta.message.tool_calls
-      const result = ToolStream.appendOrStart(
-        ADAPTER,
-        state.tools,
-        event.index,
-        { id: call.id, name: call.function.name, text: call.function.arguments ?? "" },
-        "Cohere tool call is missing id or name",
-      )
-      if (ToolStream.isError(result)) return yield* result
-      return [{ ...state, tools: result.tools }, result.events] as const
-    }
-    case "tool-call-end": {
-      const result = yield* ToolStream.finish(ADAPTER, state.tools, event.index)
-      return [{ ...state, tools: result.tools }, result.events ?? []] as const
-    }
-    case "message-end": {
-      const pending = yield* ToolStream.finishAll(ADAPTER, state.tools)
-      events.push(...pending.events)
-      const lifecycle = Lifecycle.finish(state.lifecycle, events, {
-        reason: finishReason(event.delta.finish_reason),
-        usage: event.delta.usage && mapUsage(event.delta.usage),
-      })
-      return [{ tools: pending.tools, lifecycle, finished: true }, events] as const
-    }
-    default:
-      return [state, events] as const
-  }
-})
-
-export const protocol = Protocol.make({
-  id: ADAPTER,
-  body: { schema: Body, from: fromRequest },
-  stream: {
-    event: Protocol.jsonEvent(Event),
-    initial: (): State => ({ lifecycle: Lifecycle.initial(), tools: ToolStream.empty(), finished: false }),
-    step,
-    terminal: (event) => event.type === "message-end",
-    onHalt: (state) =>
-      state.finished
-        ? Effect.succeed([])
-        : Effect.fail(ProviderShared.eventError(ADAPTER, "Cohere stream ended without message-end")),
-  },
-})
-export const route = Route.make({
-  id: ADAPTER,
-  provider: "cohere",
-  providerMetadataKey: "cohere",
-  protocol,
-  endpoint: Endpoint.path("/chat", { baseURL: DEFAULT_BASE_URL }),
-  framing: Framing.sse,
-})
-export * as CohereChat from "./cohere-chat.js"
@@ -1,6 +1,5 @@
 export * as AnthropicMessages from "./anthropic-messages.js"
 export * as BedrockConverse from "./bedrock-converse.js"
-export * as CohereChat from "./cohere-chat.js"
 export * as Gemini from "./gemini.js"
 export * as MistralChat from "./mistral-chat.js"
 export * as OpenAIChat from "./openai-chat.js"
@@ -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,
@@ -121,15 +121,12 @@ const decodeReasoningDetail = Schema.decodeUnknownOption(ReasoningDetail)
 const knownReasoningDetails = (details: ReadonlyArray<unknown>) =>
  details.flatMap((detail) => Option.toArray(decodeReasoningDetail(detail)))

-const OpenAIChatTextContent = Schema.Struct({
-  type: Schema.Literal("text"),
-  text: Schema.String,
-  cache_control: Schema.optional(OpenAIChatCacheControl),
-})
-type OpenAIChatTextContent = Schema.Schema.Type<typeof OpenAIChatTextContent>
-
 const OpenAIChatUserContent = Schema.Union([
-  OpenAIChatTextContent,
+  Schema.Struct({
+    type: Schema.Literal("text"),
+    text: Schema.String,
+    cache_control: Schema.optional(OpenAIChatCacheControl),
+  }),
  Schema.Struct({
    type: Schema.Literal("image_url"),
    image_url: Schema.Struct({ url: Schema.String }),
@@ -139,7 +136,6 @@ const OpenAIChatUserContent = Schema.Union([
    file: Schema.Struct({ filename: Schema.String, file_data: Schema.String }),
  }),
 ])
-type OpenAIChatUserContent = Schema.Schema.Type<typeof OpenAIChatUserContent>

 const OpenAIChatMessage = Schema.Union([
  Schema.Struct({
@@ -153,19 +149,21 @@ const OpenAIChatMessage = Schema.Union([
  Schema.StructWithRest(
    Schema.Struct({
      role: Schema.Literal("assistant"),
-      content: Schema.NullOr(Schema.Union([Schema.String, Schema.Array(OpenAIChatTextContent)])),
+      content: Schema.NullOr(Schema.String),
      tool_calls: optionalArray(OpenAIChatAssistantToolCall),
      reasoning_content: Schema.optional(Schema.String),
      reasoning: Schema.optional(Schema.String),
      reasoning_text: Schema.optional(Schema.String),
      reasoning_details: Schema.optional(Schema.Unknown),
+      cache_control: Schema.optional(OpenAIChatCacheControl),
    }),
    [Schema.Record(Schema.String, Schema.Unknown)],
  ),
  Schema.Struct({
    role: Schema.Literal("tool"),
    tool_call_id: Schema.String,
-    content: Schema.Union([Schema.String, Schema.Array(OpenAIChatTextContent)]),
+    content: Schema.String,
+    cache_control: Schema.optional(OpenAIChatCacheControl),
  }),
 ]).pipe(Schema.toTaggedUnion("role"))
 type OpenAIChatMessage = Schema.Schema.Type<typeof OpenAIChatMessage>
@@ -212,11 +210,9 @@ const OpenAIChatUsage = Schema.StructWithRest(
    prompt_tokens: optionalNull(Schema.Number),
    completion_tokens: optionalNull(Schema.Number),
    total_tokens: optionalNull(Schema.Number),
-    // Provider-specific cache accounting fields.
+    // Zai reports cache hits as top-level `cached_tokens`; DeepSeek uses `prompt_cache_hit_tokens`.
    cached_tokens: optionalNull(Schema.Number),
    prompt_cache_hit_tokens: optionalNull(Schema.Number),
-    cache_read_input_tokens: optionalNull(Schema.Number),
-    cache_created_input_tokens: optionalNull(Schema.Number),
    prompt_tokens_details: optionalNull(
      Schema.StructWithRest(
        Schema.Struct({
@@ -331,7 +327,9 @@ export interface ParserState {
 // OpenAI Chat wire format. Keep provider quirks here instead of leaking native
 // fields into `LLMRequest`.
 interface LoweringOptions {
-  readonly cacheControl?: (cache: CacheHint | undefined) => OpenAIChatCacheControl | undefined
+  readonly cacheControl?: (
+    cache: CacheHint | undefined,
+  ) => Schema.Schema.Type<typeof OpenAIChatCacheControl> | undefined
  readonly toolCallID?: (id: string) => string
 }

@@ -417,7 +415,7 @@ const lowerUserMessage = Effect.fn("OpenAIChat.lowerUserMessage")(function* (
  message: OpenAIChatRequestMessage,
  options: LoweringOptions,
 ) {
-  const content: OpenAIChatUserContent[] = []
+  const content: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []
  for (const part of message.content) {
    if (part.type === "text") {
      content.push({ type: "text", text: part.text, cache_control: options.cacheControl?.(part.cache) })
@@ -443,14 +441,14 @@ const lowerAssistantMessage = Effect.fn("OpenAIChat.lowerAssistantMessage")(func
  requireReasoning: boolean,
  options: LoweringOptions & { readonly providerMetadataKey: string },
 ) {
-  const content: OpenAIChatTextContent[] = []
+  const content: TextPart[] = []
  const reasoning: ReasoningPart[] = []
  const toolCalls: OpenAIChatAssistantToolCall[] = []
  for (const part of message.content) {
    if (!ProviderShared.supportsContent(part, ["text", "reasoning", "tool-call"]))
      return yield* ProviderShared.unsupportedContent("OpenAI Chat", "assistant", ["text", "reasoning", "tool-call"])
    if (part.type === "text") {
-      content.push({ type: "text", text: part.text, cache_control: options.cacheControl?.(part.cache) })
+      content.push(part)
      continue
    }
    if (part.type === "reasoning") {
@@ -488,15 +486,14 @@ const lowerAssistantMessage = Effect.fn("OpenAIChat.lowerAssistantMessage")(func
    if (reasoning.length === 0) return nativeReasoning ?? (requireReasoning ? "" : undefined)
    return text
  })()
+  const cached = message.content.findLast((part) => "cache" in part && part.cache !== undefined)
+  const cacheControl = options.cacheControl?.(cached && "cache" in cached ? cached.cache : undefined)
  const result = {
    role: "assistant" as const,
-    content: (() => {
-      if (content.some((part) => part.cache_control !== undefined)) return content
-      if (content.length === 0 && toolCalls.length > 0) return null
-      return content.map((part) => part.text).join("")
-    })(),
+    content: content.length > 0 ? content.map((part) => part.text).join("") : toolCalls.length > 0 ? null : "",
    ...(toolCalls.length > 0 ? { tool_calls: toolCalls } : {}),
    ...(details !== undefined ? { reasoning_details: details } : {}),
+    ...(cacheControl !== undefined ? { cache_control: cacheControl } : {}),
  }
  if (field === undefined || reasoningText === undefined) return result
  return { ...result, [field]: reasoningText }
@@ -507,38 +504,33 @@ const lowerToolMessages = Effect.fn("OpenAIChat.lowerToolMessages")(function* (
  options: LoweringOptions,
 ) {
  const messages: OpenAIChatMessage[] = []
-  const attachments: OpenAIChatUserContent[] = []
+  const attachments: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []
  for (const part of message.content) {
    if (!ProviderShared.supportsContent(part, ["tool-result"]))
      return yield* ProviderShared.unsupportedContent("OpenAI Chat", "tool", ["tool-result"])
    if (part.result.type !== "content") {
-      messages.push(
-        toolMessage(
-          options.toolCallID?.(part.id) ?? part.id,
-          ProviderShared.toolResultText(part),
-          options.cacheControl?.(part.cache),
-        ),
-      )
+      messages.push({
+        role: "tool",
+        tool_call_id: options.toolCallID?.(part.id) ?? part.id,
+        content: ProviderShared.toolResultText(part),
+        cache_control: options.cacheControl?.(part.cache),
+      })
      continue
    }
    const content: ReadonlyArray<Tool.Content> = part.result.value
    const text = content.filter((item) => item.type === "text").map((item) => item.text)
-    messages.push(
-      toolMessage(options.toolCallID?.(part.id) ?? part.id, text.join("\n"), options.cacheControl?.(part.cache)),
-    )
+    messages.push({
+      role: "tool",
+      tool_call_id: options.toolCallID?.(part.id) ?? part.id,
+      content: text.join("\n"),
+      cache_control: options.cacheControl?.(part.cache),
+    })
    const files = content.filter((item) => item.type === "file")
    attachments.push(...(yield* Effect.forEach(files, (item) => lowerMedia(ProviderShared.toolFileMedia(item)))))
  }
  return { messages, attachments }
 })

-// Chat cache breakpoints belong on text content parts, not on the message itself.
-const toolMessage = (toolCallID: string, text: string, cacheControl: OpenAIChatCacheControl | undefined) => ({
-  role: "tool" as const,
-  tool_call_id: toolCallID,
-  content: cacheControl === undefined ? text : [{ type: "text" as const, text, cache_control: cacheControl }],
-})
-
 const lowerMessage = Effect.fn("OpenAIChat.lowerMessage")(function* (
  message: OpenAIChatRequestMessage,
  reasoningField: string | undefined,
@@ -597,7 +589,7 @@ const lowerMessages = Effect.fn("OpenAIChat.lowerMessages")(function* (request:
    if (requireAssistantAfterTool && messages.at(-1)?.role === "tool")
      messages.push({ role: "assistant", content: "Done." })
  }
-  const pendingAttachments: OpenAIChatUserContent[] = []
+  const pendingAttachments: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []
  const flushAttachments = () => {
    if (pendingAttachments.length === 0) return
    bridgeTools()
@@ -607,25 +599,24 @@ const lowerMessages = Effect.fn("OpenAIChat.lowerMessages")(function* (request:
    if (message.role === "user") bridgeTools()
    if (message.role === "system") {
      const part = yield* ProviderShared.wrappedSystemUpdate("OpenAI Chat", message)
-      const cacheControl = options.cacheControl?.(part.cache)
      if (pendingAttachments.length > 0) {
        messages.push({
          role: "user",
          content: [
            ...pendingAttachments.splice(0),
-            { type: "text", text: part.text, cache_control: cacheControl },
+            { type: "text", text: part.text, cache_control: options.cacheControl?.(part.cache) },
          ],
        })
        continue
      }
      const previous = messages.at(-1)
      if (previous?.role === "user" && typeof previous.content === "string")
-        messages[messages.length - 1] = cacheControl
+        messages[messages.length - 1] = options.cacheControl?.(part.cache)
          ? {
              role: "user",
              content: [
                { type: "text", text: previous.content },
-                { type: "text", text: part.text, cache_control: cacheControl },
+                { type: "text", text: part.text, cache_control: options.cacheControl(part.cache) },
              ],
            }
          : { role: "user", content: `${previous.content}\n${part.text}` }
@@ -634,15 +625,15 @@ const lowerMessages = Effect.fn("OpenAIChat.lowerMessages")(function* (request:
          role: "user",
          content: [
            ...previous.content,
-            { type: "text", text: part.text, cache_control: cacheControl },
+            { type: "text", text: part.text, cache_control: options.cacheControl?.(part.cache) },
          ],
        }
      else
        messages.push(
-          cacheControl
+          options.cacheControl?.(part.cache)
            ? {
                role: "user",
-                content: [{ type: "text", text: part.text, cache_control: cacheControl }],
+                content: [{ type: "text", text: part.text, cache_control: options.cacheControl(part.cache) }],
              }
            : { role: "user", content: part.text },
        )
@@ -905,19 +896,16 @@ const mapFinishReason = Effect.fn("OpenAIChat.mapFinishReason")(function* (event
 // satisfied on both sides.
 // Providers differ on cache-hit location: OpenAI uses
 // `prompt_tokens_details.cached_tokens`, DeepSeek uses
-// `prompt_cache_hit_tokens`, Zai uses top-level `cached_tokens`, and
-// DigitalOcean uses top-level `cache_read_input_tokens` / `cache_created_input_tokens`.
+// `prompt_cache_hit_tokens`, and Zai uses top-level `cached_tokens`.
 const mapUsage = (usage: OpenAIChatEvent["usage"], providerMetadataKey: string): Usage | undefined => {
  if (!usage) return undefined
  const input = usage.prompt_tokens ?? undefined
  const output = usage.completion_tokens ?? undefined
-  const cached =
-    usage.prompt_tokens_details?.cached_tokens ??
-    usage.prompt_cache_hit_tokens ??
-    usage.cached_tokens ??
-    usage.cache_read_input_tokens ??
-    undefined
-  const cacheWrite = usage.prompt_tokens_details?.cache_write_tokens ?? usage.cache_created_input_tokens ?? undefined
+  const cached = (usage.prompt_tokens_details?.cached_tokens ??
+    (usage as { prompt_cache_hit_tokens?: number | null }).prompt_cache_hit_tokens ??
+    (usage as { cached_tokens?: number | null }).cached_tokens ??
+    undefined) as number | undefined
+  const cacheWrite = usage.prompt_tokens_details?.cache_write_tokens ?? undefined
  const reasoning = usage.completion_tokens_details?.reasoning_tokens ?? undefined
  const nonCached = ProviderShared.subtractTokens(input, ProviderShared.sumTokens(cached, cacheWrite))
  return new Usage({
@@ -143,15 +143,14 @@ const adapter = {
  restoreHostedToolItem: (item: unknown) => (Schema.is(OpenAIResponsesHostedToolItem)(item) ? item : undefined),
 } satisfies OpenResponses.ProviderAdapter

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

 const nativeImageToolInput = (tool: ToolDefinition) => {
@@ -1,5 +1,4 @@
 // Shared counter and TTL mapping for provider cache-marker lowering.
-import type { CacheHint } from "../../schema/index.js"

 export interface Breakpoints {
  remaining: number
@@ -12,12 +11,3 @@ export const newBreakpoints = (cap: number): Breakpoints => ({ remaining: cap, d
 // requests omit the wire TTL and use the provider default.
 export const ttlBucket = (ttlSeconds: number | undefined): "1h" | undefined =>
  ttlSeconds !== undefined && ttlSeconds >= 3600 ? "1h" : undefined
-
-export const cacheControl = () => {
-  const breakpoints = newBreakpoints(4)
-  return (cache: CacheHint | undefined) => {
-    if (cache === undefined || breakpoints.remaining === 0) return undefined
-    breakpoints.remaining -= 1
-    return { type: "ephemeral" as const, ttl: ttlBucket(cache.ttlSeconds) }
-  }
-}
@@ -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))
-}
@@ -41,20 +41,16 @@ const Body = Schema.Struct({
  user_id: Options.fields.userID,
 })

-// Tool streaming was introduced in GLM-4.6; later versions inherit support.
-const supportsToolStreaming = (modelID: string) => {
-  const match = /(?:^|\/)glm-(\d+)(?:\.(\d+))?(?:-|$)/i.exec(modelID)
-  return match !== null && (Number(match[1]) > 4 || (Number(match[1]) === 4 && Number(match[2] ?? 0) >= 6))
-}
-
 const fromRequest = Effect.fn("ZAIChat.fromRequest")(function* (request: LLMRequest) {
  const options = yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(Options))(request.providerOptions ?? {})
  const body = yield* OpenAIChat.protocol.body.from(request)
  return {
    ...body,
    thinking: options.thinking,
+    // Tool streaming was introduced in GLM-4.6; older models must not receive the opt-in.
    tool_stream:
-      options.toolStream ?? (body.tools?.length && supportsToolStreaming(request.model.id) ? true : undefined),
+      options.toolStream ??
+      (body.tools?.length && /^glm-(?:4\.[67]|5(?:[.-]|$))/i.test(request.model.id) ? true : undefined),
    do_sample: options.doSample,
    response_format: options.responseFormat,
    request_id: options.requestID,
@@ -1,4 +1,4 @@
-import { Option, Schema, SchemaGetter } from "effect"
+import { Option, Schema } from "effect"
 import {
  AuthenticationError,
  ContentPolicyError,
@@ -16,34 +16,24 @@ import {
 const patterns = [
  /prompt is too long/i,
  /input is too long for requested model/i,
-  // Cloudflare Workers AI reports this as HTTP 413.
-  /exceeded this model context window limit/i,
  /exceeds the context window/i,
  /exceeds (?:the )?(?:model'?s )?maximum context length(?: of [\d,]+ tokens?|\s*\([\d,]+\))/i,
  /input token count.*exceeds the maximum/i,
-  // Amazon Nova on Bedrock reports this as a mid-stream validationException.
-  /number of input tokens exceeds maximum length/i,
  /tokens in request more than max tokens allowed/i,
  /maximum prompt length is \d+/i,
  /reduce the length of the messages/i,
-  // DeepInfra
-  /requested input length \d+ exceeds maximum input length/i,
  /maximum context length is \d+ tokens/i,
  /exceeds (?:the )?maximum allowed input length of [\d,]+ tokens?/i,
-  // Novita omits the token counts.
-  /input(?: \(\d+ tokens\))? is longer than the model'?s context length/i,
+  /input \(\d+ tokens\) is longer than the model'?s context length \(\d+ tokens\)/i,
  /exceeds the limit of \d+/i,
  /exceeds the available context size/i,
  /greater than the context length/i,
-  // Hugging Face Text Generation Inference, e.g. Together
-  /`inputs` tokens \+ `max_new_tokens` must be <= \d+/i,
  /context window exceeds limit/i,
  /exceeded model token limit/i,
  /context[_ ]length[_ ]exceeded/i,
  /context length is only \d+ tokens/i,
  /input length.*exceeds.*context length/i,
-  // Z.ai code 1261 arrives as `Prompt too long` or `Prompt 超长`.
-  /prompt (?:too long|超长)/i,
+  /prompt too long; exceeded (?:max )?context length/i,
  /too large for model with \d+ maximum context length/i,
  /prompt has [\d,]+ tokens?, but the configured context size is [\d,]+ tokens?/i,
  /model_context_window_exceeded/i,
@@ -55,13 +45,7 @@ const patterns = [

 const payloadPatterns = [/request entity too large/i, /payload too large/i, /request too large/i]

-const exclusions = [
-  /^(throttling error|service unavailable):/i,
-  /rate limit/i,
-  /too many requests/i,
-  // Cohere reports an output limit above the model maximum as "too many tokens"; compaction cannot fix it.
-  /max[_ ]tokens must be less than/i,
-]
+const exclusions = [/^(throttling error|service unavailable):/i, /rate limit/i, /too many requests/i]

 export const isContextOverflow = (message: string) =>
  !exclusions.some((pattern) => pattern.test(message)) &&
@@ -125,9 +109,7 @@ const QUOTA_CODES = new Set([
  "freeusagelimiterror",
  "creditlimitexceeded",
 ])
-// Google reports an invalid API key as HTTP 400 INVALID_ARGUMENT with this `details[].reason`.
-// Z.ai's Responses API reports account and plan rejections mid-stream as `permission_denied`.
-const AUTH_CODES = new Set(["authentication_error", "permission_error", "permission_denied", "api_key_invalid"])
+const AUTH_CODES = new Set(["authentication_error", "permission_error"])
 const SERVER_CODES = new Set([
  "api_error",
  "internal_error",
@@ -141,7 +123,6 @@ const SERVER_CODES = new Set([
 ])
 // `invalid_request` is the Vercel AI Gateway's code for an upstream request rejection.
 const INVALID_REQUEST_CODES = new Set([
-  "model_not_found",
  "invalid_prompt",
  "invalid_request",
  "invalid_request_error",
@@ -161,57 +142,18 @@ const CONTENT_POLICY_CODES = new Set([
 // OpenCode Zen replaces upstream codes outside its allow-list but keeps the original
 // as a `[code]` label at the start of the rewritten message.
 const GATEWAY_CODE_LABEL = /^[^:\n]+: \[([A-Za-z0-9_.-]+)\]/
-// xAI reports an invalid API key as HTTP 400 with the generic `invalid-argument` code.
-const AUTH_TEXT = /incorrect api key provided/i
 const RATE_LIMIT_TEXT = /rate increased too quickly|rate[-_\s]?limit|too[_\s]?many[_\s]?requests/i
 // Only consulted on 429, where throttles and account caps share a status.
-// Z.ai reports balance, plan expiry, plan limits, and plan model access on 429.
-const QUOTA_TEXT =
-  /insufficient[-_\s]?(?:quota|balance)|quota[-_\s]?exceeded|budget exceeded|usage limit|limit exhausted|package has expired|plan does not yet include/i
+const QUOTA_TEXT = /insufficient[-_\s]?quota|quota[-_\s]?exceeded|budget exceeded|usage limit/i
 // Policy rejections without a dedicated code, matched against the provider's own
 // explanation only. OpenAI reuses `invalid_prompt` for usage-policy rejections while
 // Bedrock Mantle reuses it for schema validation; Anthropic reports blocked output
 // under `invalid_request_error`.
 const CONTENT_POLICY_TEXT =
-  /violating our usage policy|blocked by content filtering policy|content[-_\s]?policy|rejected as a result of our safety system|detected potentially unsafe or sensitive content/i
+  /violating our usage policy|blocked by content filtering policy|content[-_\s]?policy|rejected as a result of our safety system/i
 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
@@ -264,12 +206,7 @@ export function classifyProviderFailure(input: ProviderFailure): AIError["reason
    (input.status === 429 && QUOTA_TEXT.test(text))
  )
    return new QuotaExceededError(details)
-  if (
-    input.status === 401 ||
-    input.status === 403 ||
-    codes.some((code) => AUTH_CODES.has(code)) ||
-    (input.status === 400 && AUTH_TEXT.test(text))
-  )
+  if (input.status === 401 || input.status === 403 || codes.some((code) => AUTH_CODES.has(code)))
    return new AuthenticationError(details)
  if (
    input.status === 429 ||
@@ -322,10 +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 },
@@ -42,24 +42,14 @@ export type Settings = ProviderPackage.Settings &

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

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

 export const routes = [responsesRoute, messagesRoute, route]

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

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

+const modelID = (input: string | ModelID) => {
+  const value = String(input)
+  if (value.startsWith("workers-ai/")) return value.slice("workers-ai/".length)
+  if (value.startsWith("anthropic/")) return `anthropic/${value.slice("anthropic/".length).replaceAll(".", "-")}`
+  return value
+}
+
 export const configure = (input: LanguageModelOptions) => {
-  const custom = "auth" in input && input.auth ? input.auth : undefined
-  const rest = {
+  const defaults = {
    endpoint: { baseURL: baseURL(input) },
-    auth: custom ?? credential(input).bearer(),
-    headers: { "cf-aig-gateway-id": gatewayId(input), ...headers(input) },
+    auth: auth(input),
+    headers: headers(input),
    http: input.http,
    providerOptions: input.providerOptions,
  }
-  // A custom baseURL stands in for the REST API, so every model keeps using it with gateway model IDs.
-  const native = input.baseURL === undefined
-  const passthrough = (provider: "anthropic/v1" | "openai") =>
-    native
-      ? {
-          ...rest,
-          endpoint: { baseURL: passthroughURL(input, provider) },
-          auth: custom ?? Auth.bearerHeader("cf-aig-authorization", credential(input)),
-          headers: headers(input),
-        }
-      : rest
-  const responses = responsesRoute.with(passthrough("openai"))
-  const messages = messagesRoute.with(passthrough("anthropic/v1"))
-  const chat = route.with(rest)
+  const responses = responsesRoute.with(defaults)
+  const messages = messagesRoute.with(defaults)
+  const chat = route.with(defaults)
  return {
    id,
    model: (input: string | ModelID) => {
-      const value = String(input)
-      if (value.startsWith("openai/"))
-        return responses.model<OpenAIProviderOptionsInput>({ id: native ? value.slice("openai/".length) : value })
-      if (value.startsWith("anthropic/"))
-        return messages.model<OpenAIProviderOptionsInput>({
-          id: native ? value.slice("anthropic/".length).replaceAll(".", "-") : value,
-        })
-      if (value.startsWith("workers-ai/"))
-        return chat.model<OpenAIProviderOptionsInput>({ id: value.slice("workers-ai/".length) })
-      return chat.model<OpenAIProviderOptionsInput>({ id: value })
+      const wire = modelID(input)
+      if (String(input).startsWith("openai/")) return responses.model<OpenAIProviderOptionsInput>({ id: wire })
+      if (String(input).startsWith("anthropic/")) return messages.model<OpenAIProviderOptionsInput>({ id: wire })
+      return chat.model<OpenAIProviderOptionsInput>({ id: wire })
    },
    configure,
  }
@@ -1,66 +0,0 @@
-import { CohereChat } from "../protocols/cohere-chat.js"
-import { OpenAIChat } from "../protocols/openai-chat.js"
-import { Route, type RouteDefaultsInput } from "../route/client.js"
-import { Endpoint } from "../route/endpoint.js"
-import { AuthOptions, type ProviderAuthOption } from "../route/auth-options.js"
-import { ProviderID, type ModelID, type OpenString } from "../schema/index.js"
-import type { ProviderPackage } from "../provider-package.js"
-
-export const id = ProviderID.make("cohere")
-const COMPATIBILITY_BASE_URL = "https://api.cohere.ai/compatibility/v1"
-export type ChatOptionsInput = { readonly reasoningEffort?: OpenString<"none" | "high"> }
-export type ProviderOptions = CohereChat.ProviderOptionsInput & ChatOptionsInput
-export type LanguageModelOptions = Omit<RouteDefaultsInput, "providerOptions"> &
-  ProviderAuthOption<"optional"> & {
-    readonly baseURL?: string
-    readonly providerOptions?: ProviderOptions
-  }
-export type Settings<Options = CohereChat.ProviderOptionsInput> = ProviderPackage.Settings &
-  Options & { readonly apiKey?: string; readonly baseURL?: string }
-
-export const route = CohereChat.route
-export const chatRoute = Route.make({
-  id: "cohere-chat-completions",
-  provider: id,
-  providerMetadataKey: "cohere",
-  protocol: OpenAIChat.protocol,
-  endpoint: Endpoint.path("/chat/completions", { baseURL: COMPATIBILITY_BASE_URL }),
-  framing: OpenAIChat.framing,
-})
-export const routes = [route, chatRoute]
-
-export const configure = (input: LanguageModelOptions = {}) => {
-  const { apiKey: _apiKey, auth: _auth, baseURL, ...defaults } = input
-  const auth = AuthOptions.bearer(input, "COHERE_API_KEY")
-  const native = route.with({ ...defaults, auth, endpoint: { baseURL: baseURL ?? CohereChat.DEFAULT_BASE_URL } })
-  const chat = chatRoute.with({ ...defaults, auth, endpoint: { baseURL: baseURL ?? COMPATIBILITY_BASE_URL } })
-  return {
-    id,
-    model: (modelID: string | ModelID) => native.model<CohereChat.ProviderOptionsInput>({ id: modelID }),
-    chat: (modelID: string | ModelID) =>
-      chat.model<ChatOptionsInput>({
-        id: modelID,
-        compatibility: {
-          maxTokensField: "max_tokens",
-          supportsStore: false,
-          supportsUsageInStreaming: true,
-          reasoningField: "reasoning_content",
-          supportsStrictMode: false,
-        },
-      }),
-    configure,
-  }
-}
-export const provider = configure()
-export const model: ProviderPackage.Definition<Settings, CohereChat.ProviderOptionsInput>["model"] = (
-  modelID,
-  { apiKey, baseURL, body, headers, ...providerOptions },
-) =>
-  configure({
-    apiKey,
-    baseURL,
-    headers,
-    http: body === undefined ? undefined : { body: { ...body } },
-    providerOptions,
-  }).model(modelID)
-export * as Cohere from "./cohere.js"
@@ -1,16 +0,0 @@
-import type { ProviderPackage } from "../../provider-package.js"
-import { Cohere } from "../cohere.js"
-
-export type Settings = Cohere.Settings<Cohere.ChatOptionsInput>
-
-export const model: ProviderPackage.Definition<Settings, Cohere.ChatOptionsInput>["model"] = (
-  modelID,
-  { apiKey, baseURL, body, headers, ...providerOptions },
-) =>
-  Cohere.configure({
-    apiKey,
-    baseURL,
-    headers,
-    http: body === undefined ? undefined : { body: { ...body } },
-    providerOptions,
-  }).chat(modelID)
@@ -1,76 +0,0 @@
-import type { ProviderPackage } from "../provider-package.js"
-import { OpenAIChat } from "../protocols/openai-chat.js"
-import { cacheControl } from "../protocols/utils/cache.js"
-import { AuthOptions, type ProviderAuthOption } from "../route/auth-options.js"
-import { Route, type RouteDefaultsInput } from "../route/client.js"
-import { Endpoint } from "../route/endpoint.js"
-import { Protocol } from "../route/protocol.js"
-import { ProviderID, type ModelID } from "../schema/index.js"
-import type { OpenAIProviderOptionsInput } from "./openai-options.js"
-
-export const id = ProviderID.make("digitalocean")
-const baseURL = "https://inference.do-ai.run/v1"
-
-export type LanguageModelOptions = Omit<RouteDefaultsInput, "providerOptions"> &
-  ProviderAuthOption<"optional"> & {
-    readonly baseURL?: string
-    readonly providerOptions?: OpenAIProviderOptionsInput
-  }
-
-export type Settings = ProviderPackage.Settings & OpenAIProviderOptionsInput & { readonly apiKey?: string }
-
-export const protocol = Protocol.make({
-  id: "digitalocean-chat",
-  body: {
-    schema: OpenAIChat.protocol.body.schema,
-    from: (request) => OpenAIChat.fromRequest(request, { cacheControl: cacheControl() }),
-  },
-  stream: OpenAIChat.protocol.stream,
-})
-
-export const route = Route.make({
-  id: "digitalocean",
-  provider: id,
-  providerMetadataKey: "digitalocean",
-  protocol,
-  endpoint: Endpoint.path("/chat/completions", { baseURL }),
-  framing: OpenAIChat.framing,
-})
-
-export const routes = [route]
-
-export const configure = (input: LanguageModelOptions = {}) => {
-  const { apiKey: _apiKey, auth: _auth, baseURL: endpoint, ...defaults } = input
-  const configured = route.with({
-    ...defaults,
-    endpoint: { baseURL: endpoint ?? baseURL },
-    auth: AuthOptions.bearer(input, ["DIGITALOCEAN_ACCESS_TOKEN", "DIGITALOCEAN_API_KEY", "DO_INFERENCE_API_KEY"]),
-  })
-  return {
-    id,
-    model: (modelID: string | ModelID) =>
-      configured.model<OpenAIProviderOptionsInput>({
-        id: modelID,
-        compatibility: {
-          supportsPromptCacheKey: true,
-        },
-      }),
-    configure,
-  }
-}
-
-export const provider = configure()
-
-export const model: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>["model"] = (
-  modelID,
-  { apiKey, baseURL, body, headers, ...providerOptions },
-) =>
-  configure({
-    apiKey,
-    baseURL,
-    headers,
-    http: { body },
-    providerOptions,
-  }).model(modelID)
-
-export * as DigitalOcean from "./digitalocean.js"
@@ -37,7 +37,7 @@ export type Settings = ProviderPackage.Settings &
 const route = Route.make({
  id: "google-vertex-messages",
  provider: id,
-  providerMetadataKey: "vertex",
+  providerMetadataKey: "anthropic",
  protocol: Protocol.make({
    id: AnthropicMessages.protocol.id,
    body: {
@@ -71,7 +71,7 @@ export const protocol = Protocol.make({
 export const route = Route.make({
  id: "groq-chat",
  provider: id,
-  providerMetadataKey: "groq",
+  providerMetadataKey: "openai",
  protocol,
  endpoint: Endpoint.path("/chat/completions", { baseURL }),
  framing: OpenAIChat.framing,
@@ -9,13 +9,11 @@ export * as Baseten from "./baseten.js"
 export * as BlackForestLabs from "./black-forest-labs.js"
 export * as Cartesia from "./cartesia.js"
 export * as Cerebras from "./cerebras.js"
-export * as Cohere from "./cohere.js"
 export * as CloudflareAIGateway from "./cloudflare-ai-gateway.js"
 export * as CloudflareWorkersAI from "./cloudflare-workers-ai.js"
 export * as DeepInfra from "./deepinfra.js"
 export * as Deepgram from "./deepgram.js"
 export * as DeepSeek from "./deepseek.js"
-export * as DigitalOcean from "./digitalocean.js"
 export * as ElevenLabs from "./elevenlabs.js"
 export * as Fal from "./fal.js"
 export * as Fireworks from "./fireworks.js"
@@ -3,11 +3,11 @@ import { Route, type RouteDefaultsInput } from "../route/client.js"
 import { Endpoint } from "../route/endpoint.js"
 import { Protocol } from "../route/protocol.js"
 import { AuthOptions, type ProviderAuthOption } from "../route/auth-options.js"
-import { HttpOptions, ProviderID, type ModelID, type OpenString } from "../schema/index.js"
+import { HttpOptions, ProviderID, type CacheHint, type ModelID, type OpenString } from "../schema/index.js"
 import type { ProviderPackage } from "../provider-package.js"
 import { SystemOne } from "../experimental/system-one.js"
 import { OpenAIChat } from "../protocols/openai-chat.js"
-import { cacheControl } from "../protocols/utils/cache.js"
+import { newBreakpoints, ttlBucket } from "../protocols/utils/cache.js"
 import { isRecord, ProviderShared } from "../protocols/shared.js"

 export const id = ProviderID.make("openrouter")
@@ -131,6 +131,18 @@ export const protocol = Protocol.make({
  stream: OpenAIChat.protocol.stream,
 })

+const cacheControl = () => {
+  const breakpoints = newBreakpoints(4)
+  return (cache: CacheHint | undefined) => {
+    if (cache === undefined || breakpoints.remaining === 0) return undefined
+    breakpoints.remaining -= 1
+    return {
+      type: "ephemeral" as const,
+      ...(ttlBucket(cache.ttlSeconds) === "1h" ? { ttl: "1h" } : {}),
+    }
+  }
+}
+
 // OpenRouter forwards `reasoning.max_tokens` as the upstream thinking budget. Upstreams such as Anthropic and Alibaba
 // reject one that is not below the output limit; 1,024 is Anthropic's minimum budget.
 const fitReasoning = (reasoning: Record<string, unknown>, maxTokens: number | undefined) =>
@@ -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) =>
@@ -264,10 +264,6 @@ export type ToolError = Schema.Schema.Type<typeof ToolError>
 export const FinishReasonDetails = Schema.Struct({
  normalized: FinishReason,
  raw: Schema.optional(Schema.String),
-  /** The provider's policy area for a content-filter finish, such as `cyber`. */
-  category: Schema.optional(Schema.String),
-  /** The provider's human-readable reason for a content-filter finish. */
-  explanation: Schema.optional(Schema.String),
 }).annotate({ identifier: "LLM.FinishReasonDetails" })
 export type FinishReasonDetails = Schema.Schema.Type<typeof FinishReasonDetails>

@@ -6,17 +6,10 @@ const MISSING_TOOL_RESULT = "Tool result missing"
 export function normalizeToolHistory(messages: ReadonlyArray<Message>) {
  const normalized: Message[] = []
  const pending = new Map<string, ToolCallPart>()
-  // System updates cannot sit between a tool call and its results, so they wait until every pending call is answered.
-  const held: Message[] = []
-  const releaseHeld = () => {
-    if (pending.size > 0) return
-    normalized.push(...held)
-    held.length = 0
-  }
  const appendMissingResults = () => {
-    if (pending.size > 0) normalized.push(missingToolResults(pending.values()))
+    if (pending.size === 0) return
+    normalized.push(missingToolResults(pending.values()))
    pending.clear()
-    releaseHeld()
  }

  for (const message of messages) {
@@ -25,12 +18,6 @@ export function normalizeToolHistory(messages: ReadonlyArray<Message>) {
    if (message.role === "tool") {
      const tool = normalizeToolMessage(message, pending)
      if (tool) normalized.push(tool)
-      releaseHeld()
-      continue
-    }
-
-    if (message.role === "system" && pending.size > 0) {
-      held.push(message)
      continue
    }

@@ -40,7 +27,6 @@ export function normalizeToolHistory(messages: ReadonlyArray<Message>) {
      if (part.type === "tool-call" && part.providerExecuted !== true) pending.set(part.id, part)
    }
  }
-  appendMissingResults()

  return normalized.length === messages.length && normalized.every((message, index) => message === messages[index])
    ? messages
@@ -3,18 +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,
-  DigitalOcean,
-  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"
@@ -118,81 +107,6 @@ describe("applyCachePolicy", () => {
    }),
  )

-  it.effect("'auto' emits cache_control markers on DigitalOcean", () =>
-    Effect.gen(function* () {
-      const prepared = yield* compileRequest(
-        LLM.request({
-          model: DigitalOcean.configure({ apiKey: "test" }).model("anthropic-claude-fable-5.1"),
-          system: "You are concise.",
-          tools: [{ name: "lookup", description: "Look up a value", inputSchema: { type: "object", properties: {} } }],
-          prompt: "hi",
-        }),
-      )
-
-      expect(prepared.body).toMatchObject({
-        tools: [{ type: "function", function: { name: "lookup" }, cache_control: { type: "ephemeral" } }],
-        messages: [
-          {
-            role: "system",
-            content: [{ text: "You are concise.", cache_control: { type: "ephemeral" } }],
-          },
-          {
-            role: "user",
-            content: [{ text: "hi", cache_control: { type: "ephemeral" } }],
-          },
-        ],
-      })
-    }),
-  )
-
-  it.effect("'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(
@@ -147,7 +147,7 @@ describe("Anthropic Messages effort updates", () => {
    }),
  )

-  it.effect("moves a marker between a tool call and its result after the result", () =>
+  it.effect("accepts a marker between a tool call and its result", () =>
    Effect.gen(function* () {
      const prepared = yield* compileRequest(
        LLM.request({
@@ -166,8 +166,8 @@ describe("Anthropic Messages effort updates", () => {
      expect(prepared.body.messages).toEqual([
        { role: "user", content: [{ type: "text", text: "Weather?" }] },
        { role: "assistant", content: [{ type: "tool_use", id: "call_1", name: "lookup", input: {} }] },
-        { role: "user", content: [{ type: "tool_result", tool_use_id: "call_1", content: '{"temp":72}' }] },
        { role: "system", content: [], output_config: { effort: "low" } },
+        { role: "user", content: [{ type: "tool_result", tool_use_id: "call_1", content: '{"temp":72}' }] },
      ])
    }),
  )
@@ -197,15 +197,9 @@ describe("Anthropic Messages effort updates", () => {
    ["anthropic/claude-opus-5", true],
    ["claude-fable-5-1", true],
    ["claude-mythos-5-1", true],
-    ["claude-opus-5-5", true],
-    ["claude-sonnet-5-5", true],
-    ["anthropic/claude-sonnet-5-5", true],
-    ["claude-sonnet-6", true],
-    ["claude-haiku-6", true],
    ["claude-fable-5", false],
    ["claude-opus-4-8", false],
    ["claude-sonnet-5", false],
-    ["claude-sonnet-5-20260801", false],
    ["kimi-k2.5", false],
  ] as const) {
    it.effect(`${supported ? "lowers" : "strips"} markers for ${id}`, () =>
@@ -381,24 +375,11 @@ describe("OpenAI Responses effort updates", () => {
    ["openai/gpt-6-sol", true],
    ["gpt-6-luna", true],
    ["openai/gpt-6-luna", true],
-    ["gpt-6", true],
-    ["gpt-6.1-sol", true],
-    ["openai/gpt-6.1-sol", true],
-    ["GPT-6.1-SOL", true],
-    ["gpt-6-astra-2026-09-01", true],
-    ["gpt-6-sol-pro", true],
-    ["gpt-6-luna-pro", true],
-    ["gpt-6-sol-fast", true],
-    ["gpt-7", true],
-    ["openai/gpt-7.2-new-family", true],
-    ["gpt-10.1", true],
-    ["gpt-5", false],
+    ["gpt-6-astra-2026-09-01", false],
+    ["gpt-6-sol-pro", false],
+    ["gpt-6-luna-pro", false],
+    ["gpt-6-sol-fast", false],
    ["gpt-5.6-sol", false],
-    ["gpt-5.10", false],
-    ["not-gpt-6-sol", false],
-    ["gpt-6foo", false],
-    ["gpt-6.x-sol", false],
-    ["future-model", false],
  ] as const) {
    it.effect(`${supported ? "lowers" : "strips"} markers for ${id}`, () =>
      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"
      }
    }
  ]
@@ -10,7 +10,7 @@
      "usage"
    ],
    "name": "alibaba-messages/qwen-3-7-plus-streams-thinking-enabled",
-    "recordedAt": "2026-09-29T05:26:35.745Z"
+    "recordedAt": "2026-09-08T03:11:03.999Z"
  },
  "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\":\"enabled\",\"budget_tokens\":1024}}"
+        "body": "{\"model\":\"qwen3.7-plus\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}]}],\"stream\":true,\"max_tokens\":4096,\"thinking\":{\"type\":\"enabled\",\"budget_tokens\":1024}}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream"
        },
-        "body": "event:ping\ndata:{\"type\":\"ping\"}\n\nevent:message_start\ndata:{\"message\":{\"model\":\"qwen3.7-plus\",\"id\":\"msg_1d2b3b1a-cb68-970b-89cc-5bc4074b845a\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"usage\":{\"input_tokens\":20,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent:content_block_start\ndata:{\"type\":\"content_block_start\",\"content_block\":{\"type\":\"thinking\",\"signature\":\"\",\"thinking\":\"\"},\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"Thinking\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" Process:\\n\\n1\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\".  **Ident\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"ify the core question\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\":** The user wants\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" to know the product\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" of \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"173 and\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" 219\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\".\\n2.\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"  **Identify\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" the constraint:** Reply\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" with *only*\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" the final\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" integer.\\n3\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\".  **Perform\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" the calculation:**\\n\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"    *   \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"173 *\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" 219\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"\\n    *  \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" 173\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" * 20\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"0 = 3\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"4600\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"\\n   \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" *   1\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"73 * \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"10 = \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"1730\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndaLine truncated
+        "body": "event:ping\ndata:{\"type\":\"ping\"}\n\nevent:message_start\ndata:{\"message\":{\"model\":\"qwen3.7-plus\",\"id\":\"msg_9243d346-7958-94f1-b81a-72a33c12b5e2\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"usage\":{\"input_tokens\":20,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent:content_block_start\ndata:{\"type\":\"content_block_start\",\"content_block\":{\"type\":\"thinking\",\"signature\":\"\",\"thinking\":\"\"},\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"Thinking\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" Process:\\n\\n1\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\".  Identify\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" the core request\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\": Calculate 1\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"73 *\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" 219\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" and return *only\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"* the final\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" integer.\\n2\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\".  Perform the\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" multiplication:\\n\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"    *   \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"173 *\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" 219\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"\\n    *  \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" 173\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" * 20\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"0 = 3\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"4600\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"\\n   \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" *   1\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"73 * \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"10 = \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"1730\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"\\n    *  \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" 173\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" * 9 =\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" 155\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"7\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thLine truncated
      }
    }
  ]
@@ -9,7 +9,7 @@
      "image"
    ],
    "name": "alibaba-messages/qwen-3-8-flash-reads-image-bytes",
-    "recordedAt": "2026-09-29T05:26:39.160Z"
+    "recordedAt": "2026-09-08T03:11:05.331Z"
  },
  "interactions": [
    {
@@ -20,14 +20,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"qwen3.8-flash\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Read the three words in this image. Reply with only the words in order.\",\"cache_control\":{\"type\":\"ephemeral\"}},{\"type\":\"image\",\"source\":{\"type\":\"base64\",\"media_type\":\"image/png\",\"data\":\"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 truncated
+        "body": "{\"model\":\"qwen3.8-flash\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Read the three words in this image. Reply with only the words in order.\"},{\"type\":\"image\",\"source\":{\"type\":\"base64\",\"media_type\":\"image/png\",\"data\":\"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 truncated
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream"
        },
-        "body": "event:ping\ndata:{\"type\":\"ping\"}\n\nevent:message_start\ndata:{\"message\":{\"model\":\"qwen3.8-flash\",\"id\":\"msg_64a9e119-56aa-9556-b522-a030e231d980\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"usage\":{\"input_tokens\":16,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent:content_block_start\ndata:{\"type\":\"content_block_start\",\"content_block\":{\"type\":\"text\",\"text\":\"\"},\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"j\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"iggling restroom prison\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_stop\ndata:{\"type\":\"content_block_stop\",\"index\":0}\n\nevent:message_delta\ndata:{\"delta\":{\"stop_reason\":\"end_turn\"},\"type\":\"message_delta\",\"usage\":{\"output_tokens\":6,\"cache_creation_input_tokens\":0,\"input_tokens\":110,\"cache_read_input_tokens\":0,\"prompt_tokens_details\":{\"cached_tokens\":0}}}\n\nevent:message_stop\ndata:{\"type\":\"message_stop\"}\n\n"
+        "body": "event:ping\ndata:{\"type\":\"ping\"}\n\nevent:message_start\ndata:{\"message\":{\"model\":\"qwen3.8-flash\",\"id\":\"msg_84fa8c1d-57b1-9645-be64-fa27c790cdff\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"usage\":{\"input_tokens\":16,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent:content_block_start\ndata:{\"type\":\"content_block_start\",\"content_block\":{\"type\":\"text\",\"text\":\"\"},\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"j\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"iggling restroom prison\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_stop\ndata:{\"type\":\"content_block_stop\",\"index\":0}\n\nevent:message_delta\ndata:{\"delta\":{\"stop_reason\":\"end_turn\"},\"type\":\"message_delta\",\"usage\":{\"output_tokens\":6,\"cache_creation_input_tokens\":0,\"input_tokens\":110,\"cache_read_input_tokens\":0,\"prompt_tokens_details\":{\"cached_tokens\":0}}}\n\nevent:message_stop\ndata:{\"type\":\"message_stop\"}\n\n"
      }
    }
  ]
@@ -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}}}}"
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@@ -12,7 +12,7 @@
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Paris is currently\"},\"type\":\"content_block_delta\",\"index\":1}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\" sunny at\"},\"type\":\"content_block_delta\",\"index\":1}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\" 18°C\"},\"type\":\"content_block_delta\",\"index\":1}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\".\"},\"type\":\"content_block_delta\",\"index\":1}\n\nevent:content_block_stop\ndata:{\"type\":\"content_block_stop\",\"index\":1}\n\nevent:message_delta\ndata:{\"delta\":{\"stop_reason\":\"end_turn\"},\"Line truncated
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Calculation: \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"21\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"9 × 1\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"73 = \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"37,8\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"87 ≤ \"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"38,0\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"00, so\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" it can be covered\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\". I\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"'ll report the weather\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" briefly.\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"signature_delta\",\"signature\":\"\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_stop\ndata:{\"type\":\"content_block_stop\",\"index\":0}\n\nevent:content_block_start\ndata:{\"type\":\"content_block_start\",\"content_block\":{\"type\":\"text\",\"text\":\"\"},\"index\":1}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"Yes, it's\"},\"type\":\"content_block_delta\",\"index\":1}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\" affordable\"},\"type\":\"content_block_delta\",\"index\":1}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\": 21\"},\"type\":\"content_block_delta\",\"index\":1}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"9 trips × $\"},\"type\":\"content_block_delta\",\"index\":1}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"173 =\"},\"type\":\"content_block_delta\",\"index\":1}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\" $37,\"},\"type\":\"content_block_delta\",\"index\":1}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"887,\"},\"type\":\"content_block_delta\",\"index\":1}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\" which fits within the\"},\"type\":\"content_block_delta\",\"index\":1}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\" $38,\"},\"type\":\"content_block_delta\",\"index\":1}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"000 budget\"},\"type\":\"content_block_delta\",\"index\":1}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\Line truncated
      }
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    {
@@ -59,14 +59,14 @@
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-        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"We have a budget of 38000 dollars for 219 trips costing 173 dollars each. Calculate whether that is affordable. If it is, use get_weather to look up the current weather in Paris. After receiving the result, report the weather in one short sentence.\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"219 × 173 = 37887. ≤ 38000, affordable. Then call get_weather Paris.\",\"signature\":\"\"},{\"type\":\"tool_use\",\"id\":\"toolu_4b23422a5a214d5897e91ff2\",\"name\":\"get_weather\",\"input\":{\"city\":\"Paris\"}}]},{\"role\":\"user\",\"content\":[{\"type\":\"tool_result\",\"tool_use_id\":\"toolu_4b23422a5a214d5897e91ff2\",\"content\":\"{\\\"condition\\\":\\\"sunny\\\",\\\"temperature\\\":\\\"18C\\\"}\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"Calculation: 219 × 173 = 37,887 dollars ≤ 38,000 dollars, so it's purchasable.\\n\",\"signature\":\"\"},{\"type\":\"text\",\"text\":\"Yes, it's affordable: 219 trips × $173 = $37,887, which is within the $38,000 budget (leaving $113 to spare). Paris is currently sunny at 18°C.\"}]},{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What temperature did the tool report? Reply with only the temperature.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false},\"cache_control\":{\"type\":\"ephemeral\"}}],\"stream\":true,\"max_tokens\":4096,\"output_config\":{\"effort\":\"medium\"}}"
+        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"We have a budget of 38000 dollars for 219 trips costing 173 dollars each. Calculate whether that is affordable. If it is, use get_weather to look up the current weather in Paris. After receiving the result, report the weather in one short sentence.\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"I need to investigate this further. Let me check the details.\\n\\n219 × 173 = 37,887. Budget is 38,000. Since 37,887 ≤ 38,000, it can be covered. Call get_weather for Paris.\",\"signature\":\"\"},{\"type\":\"tool_use\",\"id\":\"toolu_5d1ba8ca72bd49889ca838f2\",\"name\":\"get_weather\",\"input\":{\"city\":\"Paris\"}}]},{\"role\":\"user\",\"content\":[{\"type\":\"tool_result\",\"tool_use_id\":\"toolu_5d1ba8ca72bd49889ca838f2\",\"content\":\"{\\\"condition\\\":\\\"sunny\\\",\\\"temperature\\\":\\\"18C\\\"}\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"Wait, I should have calculated it first, but the call was made anyway. Calculation: 219 × 173 = 37,887 ≤ 38,000, so it can be covered. I'll report the weather briefly.\",\"signature\":\"\"},{\"type\":\"text\",\"text\":\"Yes, it's affordable: 219 trips × $173 = $37,887, which fits within the $38,000 budget (leaving $113 to spare).\\n\\nIt's currently sunny in Paris at 18°C.\"}]},{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What temperature did the tool report? Reply with only the temperature.\"}]}],\"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}}],\"stream\":true,\"max_tokens\":4096,\"output_config\":{\"effort\":\"medium\"}}"
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@@ -11,7 +11,7 @@
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    "name": "alibaba-messages/qwen-3-8-max-streams-default-effort",
-    "recordedAt": "2026-09-29T05:26:45.747Z"
+    "recordedAt": "2026-09-08T03:08:06.284Z"
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  "interactions": [
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@@ -22,14 +22,14 @@
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+        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}]}],\"stream\":true,\"max_tokens\":4096}"
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      "response": {
        "status": 200,
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@@ -11,7 +11,7 @@
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@@ -22,14 +22,14 @@
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@@ -11,7 +11,7 @@
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@@ -11,7 +11,7 @@
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@@ -11,7 +11,7 @@
      "usage"
    ],
    "name": "alibaba-messages/qwen-3-8-max-streams-xhigh-effort",
-    "recordedAt": "2026-09-29T05:26:59.822Z"
+    "recordedAt": "2026-09-08T03:10:04.633Z"
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@@ -22,14 +22,14 @@
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@@ -1,34 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
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-      "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": [
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-      "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": {
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truncated
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-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://bedrock-runtime.us-east-1.amazonaws.com/model/global.anthropic.claude-opus-5-5/converse-stream",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"modelId\":\"global.anthropic.claude-opus-5-5\",\"messages\":[{\"role\":\"user\",\"content\":[{\"text\":\"How many positive integers below 5000 have exactly 12 positive divisors? Reply with the number only.\"}]},{\"role\":\"assistant\",\"content\":[{\"reasoningContent\":{\"reasoningText\":{\"text\":\"I need numbers under 5000 with exactly 12 divisors, based on the factorization patterns 12=12, 6·2, 4·3, 3·2·2, giving forms p^11, p^5·q, p^3·q^2, and p^2·q·r. Checking p^11, only 2^11=2048 works since 3^11 is too large, giving one solution; now I'm working through the p^5·q case starting with p=2.\\n\\nFor p^5·q, p=2 gives 35 valid q values, p=3 gives 7, p=5 gives none, totaling 42.\\n\\nFor p^3·q^2, checking each base p=2,3,5,7,11 against the bound, I get 8+5+2+2+0=17 solutions total.\\n\\nNow I'm setting up the p^2·q·r case where p, q, r are distinct primes with q<r, working through the bound qr<1250 for p=2, then qr≤555 for p=3 excluding 3, and starting the p=5 case.\\n\\nContinuing with q=11: r<113.5, giving π(113)=30, minus 5 primes ≤11 leaves 25. Then q=13: r<96.08...\\n\\nq=13: r≤96, π(96)=24, exclude 6 → 18. q=17: r≤73, π=21, exclude 7 → 14. q=19: r≤65, π=18, exclude 8 → 10. q=23: r≤54, π=16, exclude 9 → 7. q=29: r≤43, π=14, exclude 10 → 4. q=31: r≤40, π=12, exclude 11 → 1. q=37: none left since r must exceed 37. Running total after adding these: 78+50+36+25+18+14+10+7+4+1 = 221, matching my tally so far.\\n\\nNow moving to p=3, requiring q<r, both distinct from 3, with qr≤555. I work through q=2 giving 57 valid r, q=5 giving 26, q=7 giving 18, q=11 giving 10, q=13 giving 7, q=17 giving 4, q=19 giving 2, and I'm now checking q=23 where r≤24 limits things further.\\n\\nContinuing q=3 gives 8, q=5 gives 4, q=11 none, so p=7 sums to 25.\\n\\nFor p=11: q=2 gives 6, q=3 gives 3, q=5 gives 1.\\n\\nMoving to p=13: q=2 gives 4, q=3 gives 2, q=5 gives none, totaling 6. Then p=17 sums to 4, p=19 gives 2, p=23 gives 1, so the p²qr total is 460.\\n\\nAdding everything up: 1+42+17+460 = 520. Let me double-check the p=2, q=3 case where 12r<5000 means r<416.67.\\n\\n\",\"signature\":\"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 truncated
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-      "response": {
-        "status": 400,
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"message\":\"The model returned the following errors: messages.1.content.0: Invalid `signature` in `thinking` block. The block is bound to a different conversation. Remove the block, or set `thinking.block_binding.prefix_mismatch_behavior` to \\\"drop_block\\\". The `system` prompt differs from the one this block was created with.\"}"
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-    }
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@@ -1,38 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "provider": "cloudflare-ai-gateway",
-    "route": "cloudflare-ai-gateway-messages",
-    "transport": "http",
-    "model": "claude-haiku-4-5",
-    "tags": [
-      "prefix:cloudflare-ai-gateway",
-      "provider:cloudflare-ai-gateway",
-      "text",
-      "golden"
-    ],
-    "name": "cloudflare-ai-gateway/cloudflare-ai-gateway-claude-haiku-4-5-text",
-    "recordedAt": "2026-09-30T04:35:43.657Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://gateway.ai.cloudflare.com/v1/{account}/{gateway}/anthropic/v1/messages",
-        "headers": {
-          "anthropic-version": "2023-06-01",
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"claude-haiku-4-5\",\"system\":[{\"type\":\"text\",\"text\":\"You are concise.\"}],\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Reply exactly with: Hello!\"}]}],\"stream\":true,\"max_tokens\":40,\"temperature\":0}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream; charset=utf-8"
-        },
-        "body": "event: message_start\ndata: {\"p\": \"6247a7b95b5e3f\", \"type\":\"message_start\",\"message\":{\"model\":\"claude-haiku-4-5-20251001\",\"id\":\"msg_011CfZ16hXSVRfaXBDtUBKis\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"container\":null,\"stop_reason\":null,\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":18,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"output_tokens\":2,\"service_tier\":\"standard\",\"inference_geo\":\"not_available\"},\"diagnostics\":null}}\n\nevent: content_block_start\ndata: {\"p\": \"f9b\", \"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}             }\n\nevent: ping\ndata: {\"p\": \"cc76aa8\", \"type\": \"ping\"}\n\nevent: content_block_delta\ndata: {\"p\": \"94f\", \"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"Hello!\"}              }\n\nevent: content_block_stop\ndata: {\"p\": \"1a9d8\", \"type\":\"content_block_stop\",\"index\":0 }\n\nevent: message_delta\ndata: {\"p\": \"0cb3c23\", \"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\",\"stop_sequence\":null,\"stop_details\":null,\"container\":null},\"usage\":{\"input_tokens\":18,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"output_tokens\":5}              }\n\nevent: message_stop\ndata: {\"p\": \"6ef9de29973ed\", \"type\":\"message_stop\"              }\n\n"
-      }
-    }
-  ]
-}
@@ -1,58 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "provider": "cloudflare-ai-gateway",
-    "route": "cloudflare-ai-gateway-messages",
-    "transport": "http",
-    "model": "claude-haiku-4-5",
-    "tags": [
-      "prefix:cloudflare-ai-gateway",
-      "provider:cloudflare-ai-gateway",
-      "tool",
-      "tool-loop",
-      "golden"
-    ],
-    "name": "cloudflare-ai-gateway/cloudflare-ai-gateway-claude-haiku-4-5-tool-loop",
-    "recordedAt": "2026-09-30T04:35:45.222Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://gateway.ai.cloudflare.com/v1/{account}/{gateway}/anthropic/v1/messages",
-        "headers": {
-          "anthropic-version": "2023-06-01",
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-{
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-{
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@@ -1,54 +0,0 @@
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-}
@@ -1,53 +0,0 @@
-{
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-      "provider:digitalocean",
-      "protocol:digitalocean-chat",
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Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. 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Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and aLine truncated
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@@ -2,16 +2,9 @@
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-      "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"
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@@ -40,14 +33,14 @@
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@@ -2,16 +2,9 @@
  "version": 1,
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    "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": [
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@@ -22,14 +15,14 @@
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      "response": {
        "status": 200,
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          "content-type": "text/event-stream"
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  ]
@@ -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"
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+        "body": "{\"model\":\"muse-spark-1.3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}]}],\"stream\":true,\"max_tokens\":2048,\"thinking\":{\"type\":\"enabled\",\"budget_tokens\":1024,\"display\":\"omitted\"},\"output_config\":{\"effort\":\"low\"}}"
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      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream"
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      }
    }
  ]
@@ -13,7 +13,7 @@
      "protocol:meta-messages"
    ],
    "name": "meta-search/searches-and-replays-grounded-messages",
-    "recordedAt": "2026-09-29T05:30:15.048Z"
+    "recordedAt": "2026-09-07T17:28:39.420Z"
  },
  "interactions": [
    {
@@ -24,14 +24,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"muse-spark-1.3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Use web search to find NASA's page identifying the first person to walk on the Moon. Answer in one sentence with a source citation.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"type\":\"web_search\",\"name\":\"web_search\"}],\"stream\":true,\"max_tokens\":2048,\"thinking\":{\"type\":\"adaptive\",\"display\":\"omitted\"},\"output_config\":{\"effort\":\"low\"}}"
+        "body": "{\"model\":\"muse-spark-1.3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Use web search to find NASA's page identifying the first person to walk on the Moon. Answer in one sentence with a source citation.\"}]}],\"tools\":[{\"type\":\"web_search\",\"name\":\"web_search\"}],\"stream\":true,\"max_tokens\":2048,\"thinking\":{\"type\":\"adaptive\",\"display\":\"omitted\"},\"output_config\":{\"effort\":\"low\"}}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream"
        },
-        "body": "event: message_start\ndata: {\"message\":{\"content\":[],\"id\":\"msg_6abb4cda264db66203fd47b5\",\"model\":\"muse-spark-1.3\",\"role\":\"assistant\",\"stop_reason\":null,\"stop_sequence\":null,\"type\":\"message\",\"usage\":{\"input_tokens\":0,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent: content_block_start\ndata: 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content_block_stop\ndata: {\"index\":0,\"type\":\"content_block_stop\"}\n\nevent: content_block_start\ndata: 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content_block_stop\ndata: {\"index\":1,\"type\":\"content_block_stop\"}\n\nevent:Line truncated
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Answer in one sentence with a source citation.\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"redacted_thinking\",\"data\":\"Q-PaDgFsSqf9GrZAXUpEUYeURSueQaiHVQAY0gJ6PLCCWKfWdCt8lS0vHvLMIDQIIOFLRfyrrd-hWkf-Z6Lpfjh4DwZxMFnE6tVBRgaIN3mN6isPYNz4PfB74ViK2Jy0mbjADX2qgRaFSd-KNafybYD9u1RXsCWnaVIqvr-c-WZCerIQnj_KOPS2Ey3Ka-YAviSAzIS3S_AiHmmk2FYg2c841iSsph2cwvWg5tjnzloDlt2vArDgRaviwvWSSPj6pMJFehe_ifhIAUPchOgH5cJDelmN-64XHxXc9NwormfdGLelnwD9de150Wylc9pMl8QPG1xrGwkWQQobci8Zup4NS3akQppggnyDD-vePoBz8uZQ8cqkNKBrTJe2jjKlF3AbGNvqC3QIiFpct67JzScMUUGsz4NwlA1oiNw_CA27PeZvrZUYViWeQ_keBoIPC6YPkOCPtl9Jpcc8bqiEKK7sQFs40jhHr42ieTxAf6PlZrz_AxHCXb0DEQpxZhuyGiL2JIqCT-q8SHPwGRDEUxA-QNd9k3fgaje-5fgioaN8BSGCahEhhhZHZOu7YeW0quYxQEl_yJCt91lclbjiy4rq5I_Auw8Bp9ZkkDqCbgSnRjYUswBoBC4QIRxGW4OIoCEpr-bBgteC34wptX71EsHdtbm8JCXcAOMg8-RJR1uIWgR-0m39L93osPcFCA68R0w713SSBTfTfQJliRkogdAlqAH7sl1dnwdc5N4jIvGduuAFzb7K-_1zephWmzwMFV45DnRhejGmg_VJZSjsVcG1hMD6siMMfZ60GTt4V9J-9f2UfHn1ivT37gsq221hsvx7BaFEfXngYKSLGfWv1l0h00A3DIXnbk0UyIWSJ2pvow0iGLEkMWca-s6tU4LexiC0AYHKAUfgLpOCxkkWdiozmusEG138k2uSBZIwiedPyB8hR_kM-i7EMBuU26xn6y5UktV1fM4bfFNAENVkgZDZEGKPeLOh044Uzc9dp_6fKKFoGQZHT7qo9IOaxGacMysJD8EvZVnncfxH5MFY_jSWu4wzku7oig3Ma6-xpLmZX97sjTawYbBQWKe-XqP2B83Q5VAe0kNvqMTj_VRpa6w4ffR9fLxvKFbt4ssSyz-6N4zl99V5i7kDCrmUDquox7r8RsoHAteHkd5GVz6T7-Pp_Wsd7kVqGGV9HKe_37d79it5Q7ffpBFpWduCHQaKrPXrxho-sQWdkBysyu0nzt6sMi3ihWHSGVXZuMfIfRKiLwjQNRprgXrOHZQuXvllZo7azACCUx-b9_iOJ4yM7ieketh6dEkb6c6EjXob7XzHfziFRhXkxx1KUW-92gfl0qGHTeyTAYQDc2I4yJTyUPg6No14xPX6ePH9Hx-QN4Wmz_49-yxse90xtH5scXoz06Mrlt4t8_GUyZ0nUA\"},{\"type\":\"redacted_thinking\",\"data\":\"Q-PaDgHj2EjSstxEVIN9xK7aOR_bq9Uc_8GruuifC2HDo-8r9UhfWCjuBoatFjxh9TQdlRo_CmvFMgqLIAovFVm-szITwIbwpU5ZpcxKpMSDrh1orwPucE6A9a-vNApvv6z6zyuXtNiDtQ-LX-OFkx1V4PcZt61yCY8OXeP42LV2qxj8JOuH4V4pTGYDPZ8Ah2eKh9qqFabppHLNeozqQA8ym7hAYR_oWaixInhyuAqAlQhI1E0UoMk7CFkBCk_yB3BNCuwqC6LJNF4Br7idE_theUroJrHw9OsUw9pPDykOjvLLC5txrhWmTWqumXLLWwwEtgeI5l8Xw4aPrXzVj6OzLF1uzZB6DPiMp6haDNNos5JIgDP1Vc2dtfopbmDubPoHOHjYT2cz5S_EyftIUndGuJ7Z96fEORg9EqaW1ij25npn_oywpDpGpERdUOrMS5ym55bK27WbRlWEJZdWLR3O8CPd_Hspny7kCaToh4TkCZe-GTvlENHOZM1gebXhEAj53BhJ8rodECHDzctU7cJjR34fGyGI8IXqMup4uokO8rqwJcxZeVL0iuyAjekNEYwz6D2P-dhuWxZ7yv7JgyphvJJrXHw9CnFUcvDMWPgpqF1Gjl8kd_PQs4bK6z4Hf4l_eRmdD0lmqbzk0Xjl1080eAnK2SIRbpBZx39N7xS3O3kXtTm9OnaUX9CF3Ok9qfu7F_Biq6FPPHfBP8mgIk2tlBJaB8oEAgociTmMUlDpUNym5S7JQ1Gu19YwU6laGjzSlrjOQ15QpqdIUj3QqH64tfKyTLD1vvAXCJXZAfOpaaOBpini5FyTj6l1IlpQs8oLn9VD-eX6hVmqkh12gchkt-boRaj5VKXuYSxBrr1AEwTkG014SJJPjOMA7gKb2l276EYE1AiP0mvKKfDnyyc5gDQp6FvJ04tgWd1TlPpj3aUZIRMURre8pEkgljqSxxtTeEGQl82lmnov6UcF4yF8Z34iGLPBN9h6Mt3jyIJUeavykcBZSfzgg7g29DZXI2zIQgz4XxNMUoeSs1p5AK7922SbMtq-fWTUG-8ZoF19f_yF9PY0b2Zj6rikMV13cmXE3CfK0Jpencz3Ag0Xs-VuZnEJBcOjcMJx0udEUoHQJZsJhSHJTTdQYzMxT62Em978kikmSJ7oog3HFcyOG6XBzRq_I_9TEo3fbEfVBl1GLP0k8a4P0FZEdfCDNpXKre-iIcHpKVdRz1krfYD8MTWsA9kNT-kmGRu8AxckA3TJaX7IDZRq7C6NEsYXILPsFjvPaOLDvg3Rw1brdUk1oyzZ_5sbzSXmqijCSUH5nFLUbw2odztBHh6jK2IOfmkbEb6JYX9kcuAJ2ULNgkZx7tmVecHmq7RaP6315rr9zuiEaG4buQCPyHHIMBE6SVcPjw8ACq0-GzYcqlaP41k2txuFSxc9f3OUloZiNJSXX3eRZX97XtxU3pfxa9Mx4V9tvAY2wCwQt1-QDzD2x3JJWe0YnkacMpqdt0JdZe6y0o38LkkfhWlrLiJMJBfg_Pk6fTDPDQXEkNyMv2fmuQ8p3o15GJsPTSAs16VIoe1J7PBVb3ITMavid10J0S1j1PEEBNClE89TYaAIPS6x4q5R5-CokaFGkWowRS5hdPN6jkFZoY7ShkF4CsKAQwqVijdRWY-QYB-dncmh8Xi4P2pTXqTktaiXJX31tTnYkZG1RHu4k3Zz_ioPHHqRJ7ofebz7L5N7IE7oyFsROey7qlHNviRfw9UkEuJiNz17EzcK2hx36Il3f63U8ao4Js-Nk8vWmbyNlPxtQDlv4wtWxtaPVrw3IW_38ssClimCe3T1KUKyD_OV3xnW6th335IyLTYVW1KwepSwNjHAMkizDWQ1_psicxFlr83knjbqKU_Vwar70M91C3yADcJpbyvzoOs95eb5hSDKWEdZCDNCIEupm1Uv1u1g9hj0Oum41iTvh9waA_esuaLHMPQLDJJdip8JlzZ1Ls8J3_eqGd0yF34WbASZiAQb7UFdeOWZRoA4XoPwAsbEq0hRykpn0-I_w3RmDnX3zcs1fEsDW9eVwO9GYqowHrmbkp3AEJeWOYK8AVoCO9YR4Rb3XzOq2EY4ZVx3pQ7fec_Ugi8ZBlS2UTSHv70kMnu7KYVn9-a5MDumD49iqnUDupinPcLf_w2cboifKHeSoZwHliv4kQY9IQ3M-C5QMSQNevUMfOKkyJCZ0YoqwXBAPATpb_pZytrT-ivZ_dPvUUVfQc4SJySPy9fN_rT1zLHKvRfWbWH9yF1r95XzKGNx8OyJjaCG1Pg_Jz3e4qvD4d2up-GiLxGWxS77rKh7Mc6SirEsk7TcV095c9N2arx-d3GMQLgPb_LsSoq6Zh_rmFl23Kr0pBVQvV1_c1uwgMQoRYrNMf2q1EN_P0I4IP2Z2dfDkyl0lG4dQ444FYHESHDUpLoXRPFmdJmuP9VBZzV3NZEqIetf6GNmCTpjqhHPQxPBZt5vt4QNd1796hQmPjoR7v6BM_jSJJecY40qpySVDzTWE4x4TWX5-m87dA9yVNu0CBWQt3lA2DvrdCA3WNNjyK3Xtr51sGvtIqwZ8Iktav0fqVsqbEilFh4znWOy9ufw8dT78Yt1UwzSShCjcNDyuJfdcAEEdhCrcO_BvxGQweiNCtqEF9ibkwMul9ARzH_32lL9NBvgQUIxOKx41-vtY-NHKIIDx3ONfriqi_4utUT5UO8Gpcg48nDQHHjNSGk0YVGNZBDNhc6KxtDCwjULroghGCX7uqHVuNlS5nJn8wrBwXbPtOY\"},{\"type\":\"redacted_thinking\",\"data\":\"Q-PaDgHHNNGgCzIoq11oDSaur1459yeQbpRFl7xPXRTmf-QZ1uj6P7AtIXIKCAVI96ikCg-8W_VYIO3ZRdShlaUon18QuYBYd_4E_xS5oBFBmf4OvurFxsgKYj0D8J2k_KN_qMHajwJTfXDA6Y-B7iDwQLcGgw2C-iAIrsgkic2lbqywURfqcEr1v-qkylefsGgsPyxb7KpCoWs9eJnIN9PKu6Flgpx6AQRJijgkyaHkUWndpJnJshTtpB7soobx4r5Fmr1ueqZCkp8J2sft32Q5-5-MaiBrLvIM4zHHtoSdprxE1OL00PluIXbs2uTc2UYLfsqI4NTCrj8Oo6Pss7B0_DE7Line truncated
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Answer in one sentence with a source citation.\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"redacted_thinking\",\"data\":\"Q-PaDgE16f1EbUmKktry7QQzbLOYpmhm_UBcIZqXZQ6t36BkGWdLa1PY2w6M3nrYKtd1OpqOXIyf2wrz_nrIo0Mhjw-JE8CwkopRZTsbO3PsfBAkLOvqEf9FuWny3rnegyeZkKExEdH6y9iL2otEa3GD71C-QeD7wZjOWTc0AVMrg_fBOHk3tPPuBKsek0pO5RpxyQW7sRy2xJ1hTLymcQjVQ9YgbFf0ss_1G7yuB7Mjf9aS_wmk4sWdT-nnajR7WvlYAA3zjKK1GqT4qZzMxr9We3j2qOOk_afRm_D80NR7AkaqEv7G3WiIyAKDCKjXzwq9wBbF7ihC9d_V5q89dvclru5OBW3ujTLqejZKK80xJKXexHkTfA2MHpuPQvxVXQpwTg3c4w-qvMbEH7DqK3IO7Gz4LUTyjARWHQ7ZuQZgte4LiJVCK1Mi7tI-JS0ZFlPpK-TUNXpgi30JMV3U4ps9J1CHE2avQV_Wc6kFIAC6H_nemP6oiAxTd2suM7lRC_StFpSn1gh-ntIPR_sCyMXO1u1Ed4SiB_HjgWSgPWlZngWyqhoqkULqhKRTzdjTqz87QvsMpesR0lYKcz8lqoaVgcoUj4mSJwfL0t92h7VMezcOY5m85jsT1Zxyng3Dxja0x5ZjZz0Jih6Hbkg-qRPdIy346xrpLQVsc4Uh44fHo9S1fjw0ELzFov8mrLujz0FdFngC0SKPDw4nsqNVsKO-DJMBegrwBVKjkC5HfVIH7MYCmmL7mYF0QDB-Bplt389f6sm3o9y2ymzq0_jYwLmzYCtCBmNrVD-3fJgDbqsE06KwjNNUWvEEl5OwLq-OpPucQTPOr_qFv70dehU-hG797aylzpHN010GdKdhhnKSmFNQKmC8ahOk4B58pGt3A1xjc5eeyLvpYG3KA8gizuoPGT9s8IMROdTHpUmbcGJykS8AwX-ijf03A9ZriX3UH_C8-7LoJf3PVKDk56YMMVLM0C1GCpIlaUQwAXFzZmWa3Ei5k5AZ4zFBltLlmKY3yjvJLFYHcKXPoebk0H76ZuEzAKb32lqdGku7jGjQsv6EK9C5FN5O4d6MLtFH1DZtw68EZpKL4NMSWs-oOIbSLCe6CofEeJ8FVZmC0yiklvmPKGP2tGUTAp9VZKXsvTuqBZ3Zd6p3gM9wMWFKoM0oskGYdlouZECqkfqaNbzdCtjCgdJc3yBPhjENtOZFyJXPgyn122GYhVy_QM29ng4cm-mwka-VZn3179MDVGwiaX5YOMETN-gNXJaV4HJCBq25j5n0SRVyeqisP_95__LF0aFFaKi1d0s0ZXxbOUrCVyNBgcOHDRJ_qm1NcrlSLZY8OUUcwyG66KN9n8xCEPr_hzbnhalTHjti8Amgj-E6cbXsa2xLY1fnZ-BnWfWOnUQSimo9Z4sg8INrkdvBlw\"},{\"type\":\"redacted_thinking\",\"data\":\"Q-PaDgEKWNiIoMOZ9HdHCt3fH_fkfqg9xSPRQbRJ_yKBVnWOi5zW9knpr1OLW8NfYLSHuYRyVqkS-FWA79LxksEemeyf120eTVR-79-osIJzSjiLdgGvgYQ3llipSCCtvrWGOA-UqW2fvE8mT98UGPKCkoI0OF9XGXdwnswgO4mVjxmgFY69xH--yHLaKMwc01dk09yKgOrBFWYBaw3IDYZvzGN8DaFJLyjqtmU6eCFmZV0I2SYC80rGOUudpsh-fAyJAFU6C_Y7MMRmqMgdN0fstGWEuYCWKuaFdL_1QUEZIow-JfFUcTiIYWRAXyVOP4qygmbzJtwRXdKjSQ9qR2-7zHEUqVPBUSemBD7FMmMrs5e_kOFOVcsbIodM2-rRsr1lO33G7NXIj6gCmgDUy7Fq9iI1TgGnRUmcwmiavnpzN2TCFBUV1x-Menn_0yneT0XQ2kVDuMAT22cZwQ8cQV1ZFLwJ8RT7LjVyQJct9CjPhtuxz9zGnWWSIWznKURUIiNH63oXjJbUXgdyN9ubuN0DBDOtLxQlKE7mQPh431TzKUHT73qES0b0EvRMLqMcQcdKwTC0tepa9pRwsr9JWvms5Vy88LnYqEO74Q2W4UuJs0L5Tb_Ha7yYX8ykX9LrlETSE9FSge5ZvPotfrNr733BgX8d9Gx8iljZqkqOQ5BfFoFe_yWo2gVKviHz1PCHaZC7-ov5rcIlXeW2L5_oD5-og4hle6eXJi-qll7c86SIgTu8i8UJN1z4JiZpZXEKYtHGkLTPxSfZ709i8rqVzN_Xsx7rUz39quzvQOV-bCnpk6YRLHvaARhHDPDmlrwZTne8www9alNbyw7ricrtgEtJVNEU2Wpf68QJkSJ5nQ6bH2-tOFgp8eoK2BBkhnfjzqlXXTxFvid72OjD3PyGc1ZrK-bc-c9kP6Xe40-ZFLmMkqKSqSepF962zqIR_P8AyZDQiaMt9hRPtziXj8pM8R395H51VD3v5tMYrY-5xImLGzxEdUHIT6fbDvQ7Xbsr8c6vR7l1tV4SEKmdvJpmHUA7nRRIjpdc5Ow5kRJHkpUjTBYuLHFRwkfC_TEJCWnlOY1Z0yGwH78JYzJiulcuTySGqTFBfDV2dQGx1sxOqyn1C0_sgW0XvOET5Hx9_ZZosHr0m5ZkrHaei7uav8lohYwpdL8UKHrD466qRaa-KjamzP1P8VDvDbEguhLoKSCdYz0mtYz30gsePFsZHOnUBWKZA95kg3-mtAhqoXfueHmey3ODYsgF7QQogoRugk7GgTP0pfjj9SyGja6fvgDIRmUR3LaI2m5VjCuz8n6vWlozm2ZC4n1TDDlWryMxZk8xJ3jydDITCJfZluSeO1tLhnBdLurUN6-KtVsCoRTV-3Dt8xsxBAbPDic3P-82ici1d9DHcdSyyJ2e3KxnFA\"},{\"type\":\"redacted_thinking\",\"data\":\"Q-PaDgFzx0-Bogj1HzgwX5_kdYvDTFmq7pc9M6ztA4pN_xK1Jn8WEedInIZ4Y6_QSsd1nuPNGyfKKFPXxvXsIOTOAeijM0gk0455z2D6SjZXRWng7ls-q1rj5k8Q7iUnNPm2iDWDO8DLYOu3TJ5Tiz2xk9DGkQDxMwsdxU8LRJEqLxh1BAT6yK8qGomXsoLXmgoKbg2uxbaHRmiv37xmv7E0uT6hpO_zzbEorqTF7wa4KdZpDf_CPe8eKRuuzNO5mf5GwZDezr0xedhSuNdZDG3SCb-tlQXjn4yxFRQkYb3rPuJp9tSzbmLJz4XO2RPBOSF4Su9SMADYvkamk9vFqqEOmMp3VM4pWOUhqg2yWYv9p4NaKo0l-JyLmQyr-U9nXPZ2KpEoV_43BI7jf2OnCWwgdNSMFdM94qcb0sxzZaL4AmLZOA-EwxqOmGe1K9FO_BdOLKNxHe32HrTKDSdS4CjAuij7Z0XouKiJCeCtiik88ToJmJtsKNjkpnon2SMZR26KIYB74mFAl1DEAyWJ4S9yxii7pfdClg1MYMPTVgr6eEyhFpwOXjFQl8ViXLEQjy2cuGh7uloVR32kX8Mxfd3WZJpSPOtfkFcpP056NOh_luSNByMvLSqOTrtFWwDdXnXrqES8l9jEbnXBkaucOqspy278KL40qF6pxKLY-qnM8dPyvO2y0Axbl7QElTnq-OwpUOqkBu6RDrVZfYqCA3cR672ek5Rp8RUyoC6E4BuahKmrXqqUgLPk7Si1kxzuvPAk6sY1O8MgesAcLeDWUeTQgkwtrdWJOW7bLTTkBgWnQnmIqbDO8uoZqPtjjBZNMZ174IlsKCJnFAboL4WKUzH45lowp2SvFaTqQm1E2N9fgTRm26tmP383t45Q9F5h6995NuFZifq8YdCHuegn3vnnkEPhRHFjV1BGOQeyh31NOlnW6oXJAs9k0iIgc24y_3Zn4zN9vGtZulrvMbLpsfq7exsxrV8uoUcAxUsDtg8iVOD6IkNnFzohD8Jbwq_5tujQ9XybI6jn4pt_SONKl3kp6rdiLBLVJ8pC5NaNnTt1EEV0NqnxHr7TXHpe0VOyjaebFPgEPwi-E69mfsRbWQdzwLnWqFr2nvTmVTV4ueu8smeqbR5QfaB_rsWHuMNfZGP8DFXc28h7Zqr3jl2UBAJBiUI961w_ua2ZwL-APq6Nk6b_54id3rkOnj2Mk5C_Y8LOAKwYinXJV509JJXw4B5f8ULLRGU_1XdW7MNjnfCEfEaAfGD2a74EcaiXsbPaT3DZGMTfbzOsU-062n2ZxYn8HM3J6d5xTohf8wc5FuRfH0vaUakBthl0gLdyVpSQ5g3AS98yKJf1NO0BzE6LkMq3ubVQIC5tjkPLGvsE-M0HUIr17IMRSk7UCuTJWDyWWxYH_1J8eHUeufcBxA\"},{\"type\":\"text\",\"text\":\"I'll search NASA's site for the first Moonwalker.\"},{\"type\":\"server_tool_use\",\"id\":\"ws_call_01a07cea0e0871229519aee3634b1945\",\"name\":\"web_search\",\"input\":{\"queries\":[\"NASA first person to walk on the Moon\"],\"query\":\"NASA first persLine truncated
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream"
        },
-        "body": "event: message_start\ndata: {\"message\":{\"content\":[],\"id\":\"msg_6abb4ce4f5c9272847184f0d\",\"model\":\"muse-spark-1.3\",\"role\":\"assistant\",\"stop_reason\":null,\"stop_sequence\":null,\"type\":\"message\",\"usage\":{\"input_tokens\":0,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"data\":\"Q-PaDgHUAaunYGNiSK64X75fSujrLwaLnI5wNulXg9owQUjVWamiUaex1bQEYX8WTtBd4dUIrRAdjSwnYFOhw3tQ65Udxvc1aUtgtSFgxOJqAgIBC4c5MApCZZnxffh6NTZM9wvkKdmSFF67CCfZTrRYzJ3CYnYmAT_LknJnQUksT_Y7Ai68l3nGzX7Prn-EUYNo4vvOVi2MgHgG_sNgnpsSjxIZhuL257Yb2TNb1XqPhAPXLARFG7vEHIQRCfVY4mwA7uztEZOZN33M9m1VQYgBN30M-XFug35suytlY6GkqZ2PK5zwSL4e8pRXqT1p4n2KPQNcwFG2c6tg2mwY4O-tb3JqalLb8R8Hz4fdpe7kXgCSw8EF3BhCQ8BLvejehaRF7UDuP33Ey0CcMOYCV3fcNj-NoVL3ecB48VuirrL1kH1Ggtul0GGYs-ER1dwi3OouWFPmsXVc2BocQ4NHClchX4AC_Tl71EcikSmml5iVEo6bbMgEzeIXLhmfbu57YJnurTfHXZLeBdIT-F_a1KKGdy8TAUwEVO8FLhF0w3WR4-hCFnXubkmbRQb-f_B5fEBP45PUP1tDuB2PqnuO0D4chZObLFirs2wnfLVHPz2C3DQ_Jx339tbjDYpayKz5AxiQk8_9c9i72BdfsQ__af9FsbrWG47NHKBiEHOmnLbMO-65G8NwXWIUjGVTeYxxayQG-q4uAhCB4xVerBO_xKgGTmxGIAsy5ukHjsSAzOX9_nvCz3sAh5U2u0x3kTd3OzTbnO4mit9qeQ_2-wfFO3k4jKOiFpE9iZSZG5SmrUptxMJPN0tQPF_6Nsu2XByxn4yi44rjC0P5C2TnQJF-b2KqesTT2pmu3S8HM2n4uSdsGSVqtWlzjS5vGkfhy0rGexamOtOQJELdkJdSano_fhVjxSeUIJkv4wiHj5Yg0G88AQmRObVa-Jd-ztENQ5psfiQrkt2aY26w2FOQ6spSRNZ3k5Gj0MN4ZEn77L4mqGcVLJxAsa93jxdxA8F5rJ5k5XqLrBn4f44KexSomW0jPcadNkqNCddnNAkOB7eQFP97ABVPGSY4sbUK3XH_H1ZYS67ymuBhQejgDbvMhT4SI5REgxIaTK_Wp3AUQP6HYNcADCiuYXeN64uxRsUeYM3T0cnV0KRbmqYlt9BSU4h_33X_rX2OfCPT7ytp__4sgsOvjG7xmgFmg5rYkV6k0AhHRxzPrLRrLuRXK6LXmFAcvtrejVccwJNKksEQtOepPc9F2clugTvmzhuQeL_OVdjW9Kqcz1o-sj_ToT0TikWIfqPuS0elB_rjRD68JkiTUpYI9d2kkPNDTwls2hdUbRH6S1YP3vDFR0URKKvIK3i00G06CsBicDmuKY7OvFXlpSIWEEVa8e4FP_kFcXuBLBxvCt4C_lrcjKscknNitUxZoE6DpUnD9S3hEBLUqbqRcGjopWccIMYaw2pySmdVycQpgDl2vMpEi5kpYA2PpZMiU9JLpkDAI98TczoaFNmVfBZob7fp0djS-xNwUO61ZHaZBJ_5gvVYKNOmSHCoSE5gP30lx92SiDHRn7RpS0KBBRye6vEIKKZfhJWTl6TSBfgpL0hUZOfu7xoTivt4eeoK6HkOBskln5485XZfT7G5Z52sKifoB9OquhVlFc2GsdNHjB_z7D70N_itdBQP4ozAxRIusJBFVsA7xh7exC4pACEKtbUvsK1nspBQNmXsym2z73nRdOpY_aKhDyRIQ3x4-9UTeQbdIXKhkfeBePQqjPvBImOLha0Fw14WElvWe5NRkRW2qVttXwUO2Pd2zxLGnjRXudN49CLP4DjHtZ50QSkD8zHYRLWk9fb1HzZzo50PzWL606zASezeJkbmeI-8QOmZMT1mGgFu4T-J8Jol-cAatFsi0aMO0-eU1foCzSJrtvfXyTdF3qPNmIKz5uRIKGIK9VHOEH6MViALonEmoSuIxoRwYZBkp9vld5EFxUCSiaLRM-dMnwtboIxbiWehbJXuVG_wRSdpn5ZcBanDGIn6QKaa8B1jqFNdU9jSFBzNLnNlPfVknjaVXH3JTm-RGBP_Y7ACdD8IkEvKI4vbc-rPCmNDbDtZ5_My0oJ_VQeSgOJMubQkzFLskk82CYnAi_9KcPJvPM4L3tLL4OcYOFC1M3Ml22Enle0komWlDHjjkPyy1Ujk3nhzdTlN7VUJOa-yOki6WcUoiOtRHcB9DiYR6cw22x6wpniDlsRqnXCFweWZJd4hnkLzX--oW8Efi91chiLuXFFdEOGe6hD4vMKO3dR3Iv5XgqFf61pROFp2UNS11o0f2F8u4uE9bme7Em7ZFGZyLcmvAj-8_Ql_fag0g44EZCMMrE5JQtkgNvXG7zqCV6Nr6eQnFM1IkXmsCsueW4Xrj9eD6Sih27RtqJRgJZzFWi1PR8tdFsvaC1PDAaS5kVOgzwVMx46-hF2OsIn--jjQ4TWsgwJPX_ippQwxchFn1jxZkUlaPTKXfkqBV1fiF-HRWxSeOsaEVf6y3WWWw5WBnENRa4Th4rlZCaEZfUYo-kcdyabJWt_ZpKjQqvP8jTpg2f5Ca3p1sMgEjNKM-zO-_x-CGsklaU5tUoit3quvz_71jPNEUmMAoLnklSfqBJ4HIqxUF7ftsL1DbO-wf4P_S1iv-PTy25O7GI2HYvIc7H8Rl19VIJQpcP4uJ0cJrj04_2SrKYjsY18Rf1euPJlgd441qPIi1JeTg2whSE7mGDyGDNWDlWRojKUfYjPzTMQt3HJ0yJtU4uLdX7G6V4GAGTiYA2Hgwm4\",\"type\":\"redacted_thinking\"},\"index\":0,\"type\":\"content_block_start\"}\n\nevent: content_block_stop\ndata: {\"index\":0,\"type\":\"content_block_stop\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"text\":\"\",\"type\":\"text\"},\"index\":1,\"type\":\"content_block_start\"}\n\nevent: content_block_delta\ndata: {\"delta\":{\"text\":\"Armstrong\",\"type\":\"text_delta\"},\"index\":1,\"type\":\"content_block_delta\"}\n\nevent: content_block_stop\ndata: {\"index\":1,\"type\":\"content_block_stop\"}\n\nevent: message_delta\ndata: {\"delta\":{\"stop_reason\":\"end_turn\",\"stop_sequence\":null},\"type\":\"message_delta\",\"usage\":{\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"input_tokens\":612,\"output_tokens\":188,\"output_tokens_details\":{\"thinking_tokens\":176}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
+        "body": "event: message_start\ndata: {\"message\":{\"content\":[],\"id\":\"msg_6a9ef4443a4089ff668249e1\",\"model\":\"muse-spark-1.3\",\"role\":\"assistant\",\"stop_reason\":null,\"stop_sequence\":null,\"type\":\"message\",\"usage\":{\"input_tokens\":0,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent: content_block_start\ndata: 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truncated
      }
    }
  ]
@@ -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": {
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@@ -11,7 +11,7 @@
      "reasoning"
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+    "recordedAt": "2026-09-07T16:53:16.470Z"
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@@ -22,14 +22,14 @@
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{\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"220\"}}\n\nevent: content_block_delta\ndata:Line truncated
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@@ -11,7 +11,7 @@
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    "name": "minimax-messages/m3-streams-text-with-thinking-disabled",
-    "recordedAt": "2026-09-29T05:27:36.888Z"
+    "recordedAt": "2026-09-07T16:53:16.028Z"
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@@ -22,14 +22,14 @@
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@@ -2,16 +2,9 @@
  "version": 1,
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-      "prefix:moonshot-messages",
-      "provider:moonshot",
-      "protocol:messages",
-      "image",
-      "reasoning",
-      "usage"
-    ],
+    "tags": ["prefix:moonshot-messages", "provider:moonshot", "protocol:messages", "image", "reasoning", "usage"],
    "name": "moonshot-messages/k3-reads-image-bytes",
-    "recordedAt": "2026-09-29T05:28:42.807Z"
+    "recordedAt": "2026-09-07T20:38:03.858Z"
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@@ -22,14 +15,14 @@
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      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream"
        },
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@@ -22,14 +15,14 @@
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    "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"
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        },
-        "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"
      }
    }
  ]
@@ -1,21 +1,18 @@
 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", () => {
    const messages = [
      "tokens in request more than max tokens allowed",
      "Requested token count exceeds the model's maximum context length of 131072 tokens.",
-      "Requested input length 600010 exceeds maximum input length 131071",
      "Input length (265330) exceeds model's maximum context length (262144).",
      "Input length 131393 exceeds the maximum allowed input length of 131040 tokens.",
      "The input (516368 tokens) is longer than the model's context length (262144 tokens).",
-      "The input is longer than the model's context length trace_id: 39d8c3a5c6c91dbc8dd9055f0b37e084",
      "Prompt has 5,958,968 tokens, but the configured context size is 256,000 tokens",
      "Range of input length should be [1, 129024]",
      "Too many tokens",
-      "Input validation error: `inputs` tokens + `max_new_tokens` must be <= 131073. Given: 600035 `inputs` tokens and 16 `max_new_tokens`",
      "Token limit exceeded",
    ]

@@ -285,82 +282,6 @@ describe("provider error classification", () => {
    ).toEqual(Array(6).fill("QuotaExceeded"))
  })

-  test("classifies Z.ai plan and balance limits as quota rather than throttling", () => {
-    const zai = (code: string, message: string) => ({ error: { code, message } })
-    const cases = [
-      zai("1113", "Insufficient balance or no resource package. Please recharge."),
-      zai("1308", "Usage limit reached for 5 hours. Your limit will reset at 2026-10-01 00:00:00"),
-      zai(
-        "1309",
-        "Your GLM Coding Plan package has expired and is temporarily unavailable. You can resume using it after renewing the subscription on the official website.",
-      ),
-      zai("1310", "Weekly/Monthly Limit Exhausted. Your limit will reset at 2026-10-01 00:00:00"),
-      zai("1311", "Your current subscription plan does not yet include access to glm-5"),
-      zai("1314", "Your enterprise package has expired. Please contact your enterprise administrator."),
-      // Z.ai's Anthropic-compatible endpoint wraps the code and request ID into the message.
-      {
-        type: "error",
-        error: {
-          type: "rate_limit_error",
-          code: "1309",
-          message:
-            "[1309][Your GLM Coding Plan package has expired and is temporarily unavailable. You can resume using it after renewing the subscription on the official website.][20260929132151e73af01340d54b58]",
-        },
-      },
-    ]
-    expect(
-      cases.map(
-        (body) =>
-          classifyProviderFailure({ message: body.error.message, status: 429, rawBody: JSON.stringify(body) })._tag,
-      ),
-    ).toEqual(Array(cases.length).fill("QuotaExceeded"))
-  })
-
-  test("classifies Z.ai prompt length rejections as context overflow", () => {
-    const cases = [
-      { error: { code: "1261", message: "Prompt 超长" } },
-      { error: { code: "1261", message: "Prompt too long" } },
-      {
-        type: "error",
-        error: { type: "invalid_request_error", code: "1261", message: "[1261][Prompt too long][2026092913]" },
-      },
-    ]
-    expect(
-      cases.map((body) => {
-        const reason = classifyProviderFailure({
-          message: body.error.message,
-          status: 400,
-          rawBody: JSON.stringify(body),
-        })
-        return reason._tag === "InvalidRequest" ? reason.classification : reason._tag
-      }),
-    ).toEqual(["context-overflow", "context-overflow", "context-overflow"])
-  })
-
-  test("classifies Z.ai sensitive content rejections as content policy", () => {
-    const message =
-      "System detected potentially unsafe or sensitive content in input or generation. Please avoid using prompts that may generate sensitive content. Thank you for your cooperation."
-    expect(
-      classifyProviderFailure({
-        message,
-        status: 400,
-        rawBody: JSON.stringify({ error: { code: "1301", message } }),
-      })._tag,
-    ).toBe("ContentPolicy")
-  })
-
-  test("keeps Z.ai throttling and overload retryable", () => {
-    expect(
-      [
-        { error: { code: "1302", message: "Rate limit reached for requests" } },
-        { error: { code: "1305", message: "The service may be temporarily overloaded, please try again later" } },
-      ].map(
-        (body) =>
-          classifyProviderFailure({ message: body.error.message, status: 429, rawBody: JSON.stringify(body) })._tag,
-      ),
-    ).toEqual(["RateLimit", "RateLimit"])
-  })
-
  test("does not let substituted server codes make a 4xx retryable", () => {
    const openai = { error: { type: "server_error", message: "Upstream request failed: Model is unavailable." } }
    const anthropic = {
@@ -434,89 +355,6 @@ describe("provider error rawBody classification", () => {
    }
  })

-  test("classifies Workers AI context window rejections as context overflow despite HTTP 413", () => {
-    const message =
-      "AiError: Ai: The estimated number of input and maximum output tokens (900047) exceeded this model context window limit (32000). (17851589-f2e6-405d-b67c-5550e52ee1c1)"
-    const reason = classifyProviderFailure({
-      message,
-      status: 413,
-      rawBody: JSON.stringify({ errors: [{ message, code: 5021 }], success: false, result: {}, messages: [] }),
-    })
-    expect(reason._tag === "InvalidRequest" ? reason.classification : reason._tag).toBe("context-overflow")
-  })
-
-  test("classifies Amazon Nova input token rejections as context overflow", () => {
-    const message =
-      "The model returned the following errors: Input Tokens Exceeded: Number of input tokens exceeds maximum length. Please update the input to try again."
-    const reason = classifyProviderFailure({
-      message,
-      rawBody: JSON.stringify({
-        headers: {
-          ":exception-type": { type: "string", value: "validationException" },
-          ":content-type": { type: "string", value: "application/json" },
-          ":message-type": { type: "string", value: "exception" },
-        },
-        body: JSON.stringify({ message }),
-      }),
-    })
-    expect(reason._tag === "InvalidRequest" ? reason.classification : reason._tag).toBe("context-overflow")
-  })
-
-  test("separates Cohere prompt overflow from output limit rejections", () => {
-    const classify = (message: string) => {
-      const reason = classifyProviderFailure({
-        message,
-        status: 400,
-        rawBody: JSON.stringify({ error_type: "TOO_MANY_TOKENS", message }),
-      })
-      return reason._tag === "InvalidRequest" ? reason.classification : reason._tag
-    }
-    expect(
-      classify(
-        "too many tokens: size limit exceeded by 168512 tokens. Try using shorter or fewer inputs. The limit for this model is 132000 tokens.",
-      ),
-    ).toBe("context-overflow")
-    expect(
-      classify(
-        "too many tokens: max tokens must be less than or equal to 4096, the maximum output length for this model - received 1000000.",
-      ),
-    ).toBeUndefined()
-  })
-
-  test("classifies invalid API keys reported as HTTP 400 as authentication failures", () => {
-    const rawBody = JSON.stringify({
-      error: {
-        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")
-    // xAI
-    expect(
-      classifyProviderFailure({
-        message: "Incorrect API key provided. You can obtain an API key from https://console.x.ai.",
-        status: 400,
-        rawBody: '{"code":"invalid-argument","error":"Incorrect API key provided."}',
-      })._tag,
-    ).toBe("Authentication")
-  })
-
  test("classifies overflow signals buried in the raw payload when the summary is vague", () => {
    const reason = classifyProviderFailure({
      message: "Request failed",
@@ -530,57 +368,5 @@ describe("provider error rawBody classification", () => {
    expect(
      classifyProviderFailure({ message: "Request failed", rawBody: '{"error":{"code":"insufficient_quota"}}' })._tag,
    ).toBe("QuotaExceeded")
-    // Z.ai Responses stream rejections
-    expect(
-      classifyProviderFailure({
-        message: "Unknown Model, please check the model code.",
-        rawBody: '{"type":"response.failed","response":{"error":{"code":"model_not_found"}}}',
-      })._tag,
-    ).toBe("InvalidRequest")
-    expect(
-      classifyProviderFailure({
-        message: "Your GLM Coding Plan package has expired and is temporarily unavailable.",
-        rawBody: '{"type":"response.failed","response":{"error":{"code":"permission_denied"}}}',
-      })._tag,
-    ).toBe("Authentication")
-  })
-})
-
-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])
  })
 })
@@ -121,25 +121,6 @@ describe("provider package entrypoints", () => {
    })
  })

-  test("maps Cohere entrypoints onto native and compatibility routes", async () => {
-    const modules = await Promise.all([
-      import("@opencode/ai/providers/cohere"),
-      import("@opencode/ai/providers/cohere/chat"),
-    ])
-    const settings = { apiKey: "fixture", headers: { "x-test": "fixture" }, body: { future_option: true } }
-    const routes = [
-      ["cohere-chat", "https://api.cohere.com/v2"],
-      ["cohere-chat-completions", "https://api.cohere.ai/compatibility/v1"],
-    ]
-    modules.forEach((module, index) => {
-      const selected = module.model("command-a-03-2025", settings)
-      expect(selected.provider).toBe("cohere")
-      expect([selected.route.id, selected.route.endpoint.baseURL]).toEqual(routes[index])
-      expect(selected.route.defaults.headers).toEqual(settings.headers)
-      expect(selected.route.defaults.http?.body).toEqual(settings.body)
-    })
-  })
-
  test("maps MiniMax API entrypoints onto provider-owned routes", async () => {
    const modules = await Promise.all([
      import("@opencode/ai/providers/minimax"),
@@ -233,7 +214,7 @@ describe("provider package entrypoints", () => {
      })
      expect(selected.provider).toBe(provider.id)
      expect(selected.route.endpoint.baseURL).toBe(provider.baseURL({ accountId: "account" }))
-      expect(selected.route.defaults.headers).toMatchObject({ "x-application": "opencode" })
+      expect(selected.route.defaults.headers).toEqual({ "x-application": "opencode" })
      expect(selected.route.defaults.http?.body).toEqual({ custom: true })
      expect(selected.route.defaults.providerOptions).toEqual({ reasoningEffort: "high" })
    }
@@ -319,9 +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",
    })
@@ -340,7 +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" } })
  })

@@ -314,9 +314,6 @@ describe("Anthropic Messages route", () => {
        "claude-haiku-5-1",
        "claude-fable-6",
        "anthropic/claude-mythos-7.2",
-        "claude-sonnet-5-5",
-        "claude-opus-4-8@20260101",
-        "claude-nova-6",
      ]

      const prepared = yield* Effect.forEach(ids, (id) =>
@@ -591,9 +588,9 @@ describe("Anthropic Messages route", () => {
    }),
  )

-  it.effect("moves a system update between a local tool call and its result after the result", () =>
+  it.effect("rejects a system update between a local tool call and its result", () =>
    Effect.gen(function* () {
-      const prepared = yield* compileRequest(
+      const error = yield* compileRequest(
        LLM.request({
          model: opus48,
          messages: [
@@ -604,13 +601,9 @@ describe("Anthropic Messages route", () => {
          ],
          cache: "none",
        }),
-      )
+      ).pipe(Effect.flip)

-      expect(prepared.body.messages.slice(1)).toEqual([
-        { role: "assistant", content: [{ type: "tool_use", id: "call_1", name: "lookup", input: {} }] },
-        { role: "user", content: [{ type: "tool_result", tool_use_id: "call_1", content: '"Done."' }] },
-        { role: "system", content: [{ type: "text", text: "Too early.", cache_control: undefined }] },
-      ])
+      expect(error.message).toContain("system updates cannot split a local tool call from its tool result")
    }),
  )

@@ -1676,40 +1669,6 @@ describe("Anthropic Messages route", () => {
    }),
  )

-  it.effect("carries a refusal's category and explanation on the content-filter finish", () =>
-    Effect.gen(function* () {
-      const refusal = (stop_details: unknown) =>
-        LLMClient.generate(request).pipe(
-          Effect.provide(
-            fixedResponse(
-              sseEvents(
-                { type: "message_start", message: { usage: { input_tokens: 5 } } },
-                { type: "message_delta", delta: { stop_reason: "refusal", stop_details }, usage: { output_tokens: 0 } },
-                { type: "message_stop" },
-              ),
-            ),
-          ),
-        )
-
-      expect(
-        (yield* refusal({
-          type: "refusal",
-          category: "cyber",
-          explanation: "This request was declined because it could enable cyber harm.",
-        })).finishReason,
-      ).toEqual({
-        normalized: "content-filter",
-        raw: "refusal",
-        category: "cyber",
-        explanation: "This request was declined because it could enable cyber harm.",
-      })
-      expect((yield* refusal({ type: "refusal", category: null, explanation: null })).finishReason).toEqual({
-        normalized: "content-filter",
-        raw: "refusal",
-      })
-    }),
-  )
-
  it.effect("assembles streamed tool call input", () =>
    Effect.gen(function* () {
      const body = sseEvents(
@@ -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()
-    }),
-  )
-})
@@ -501,23 +501,25 @@ describe("Bedrock Converse route", () => {
        LLM.request({ model, messages: [Message.assistant([call])], cache: "none" }),
      )

-      expect(prepared.body.messages[0]).toEqual({
-        role: "assistant",
-        content: [
-          {
-            toolUse: {
-              toolUseId: "tool_1",
-              name: "edit",
-              input: {
-                path: "file.ts",
-                edits: [{ oldText: "a", newText: "b" }, null, true, 7, "text", ["kept", { nested: { value: "ok" } }]],
-                nested: { empty: {}, onlyEmpty: {} },
-                " ": "preserve whitespace key",
+      expect(prepared.body.messages).toEqual([
+        {
+          role: "assistant",
+          content: [
+            {
+              toolUse: {
+                toolUseId: "tool_1",
+                name: "edit",
+                input: {
+                  path: "file.ts",
+                  edits: [{ oldText: "a", newText: "b" }, null, true, 7, "text", ["kept", { nested: { value: "ok" } }]],
+                  nested: { empty: {}, onlyEmpty: {} },
+                  " ": "preserve whitespace key",
+                },
              },
            },
-          },
-        ],
-      })
+          ],
+        },
+      ])
      expect(input).toEqual(original)
      expect(call.input).toBe(input)
    }),
@@ -538,13 +540,15 @@ describe("Bedrock Converse route", () => {
        }),
      )

-      expect(prepared.body.messages[0]).toEqual({
-        role: "assistant",
-        content: [
-          { toolUse: { toolUseId: "tool_empty_key", name: "first", input: {} } },
-          { toolUse: { toolUseId: "tool_empty_object", name: "second", input: {} } },
-        ],
-      })
+      expect(prepared.body.messages).toEqual([
+        {
+          role: "assistant",
+          content: [
+            { toolUse: { toolUseId: "tool_empty_key", name: "first", input: {} } },
+            { toolUse: { toolUseId: "tool_empty_object", name: "second", input: {} } },
+          ],
+        },
+      ])
    }),
  )

@@ -648,177 +652,6 @@ describe("Bedrock Converse route", () => {
    }),
  )

-  it.effect("hoists tool-result images beside the result for Bedrock GPT models", () =>
-    Effect.gen(function* () {
-      const prepared = yield* compileRequest(
-        LLM.request({
-          model: AmazonBedrock.configure({ baseURL: "https://bedrock-runtime.test", apiKey: "test-bearer" }).model(
-            "global.openai.gpt-6-sol",
-          ),
-          messages: [
-            Message.user("What is in this image?"),
-            Message.assistant([ToolCallPart.make({ id: "tool_1", name: "read", input: {} })]),
-            Message.tool({
-              id: "tool_1",
-              name: "read",
-              result: {
-                type: "content",
-                value: [
-                  { type: "text", text: "Image loaded." },
-                  { type: "file", uri: "data:image/png;base64,AAAA", mime: "image/png" },
-                  { type: "file", uri: "data:application/pdf;base64,QkI=", mime: "application/pdf", name: "note.pdf" },
-                ],
-              },
-            }),
-          ],
-          cache: "none",
-        }),
-      )
-
-      expect(prepared.body.messages[2]).toEqual({
-        role: "user",
-        content: [
-          {
-            toolResult: {
-              toolUseId: "tool_1",
-              content: [
-                { text: "Image loaded." },
-                { text: 'Attached file "note.pdf" has document label "note".' },
-                { document: { format: "pdf", name: "note", source: { bytes: "QkI=" } } },
-              ],
-              status: "success",
-            },
-          },
-          { image: { format: "png", source: { bytes: "AAAA" } } },
-        ],
-      })
-    }),
-  )
-
-  it.effect("hoists tool-result images for other Bedrock model families", () =>
-    Effect.gen(function* () {
-      for (const id of [
-        "qwen.qwen3-vl-235b-a22b",
-        "global.xai.grok-4.7",
-        "global.moonshotai.kimi-k3",
-        "us.meta.llama4-scout-17b-instruct-v1:0",
-      ]) {
-        const prepared = yield* compileRequest(
-          LLM.request({
-            model: AmazonBedrock.configure({ baseURL: "https://bedrock-runtime.test", apiKey: "test-bearer" }).model(
-              id,
-            ),
-            messages: [
-              Message.assistant([ToolCallPart.make({ id: "tool_1", name: "read", input: {} })]),
-              Message.tool({
-                id: "tool_1",
-                name: "read",
-                result: {
-                  type: "content",
-                  value: [{ type: "file", uri: "data:image/png;base64,AAAA", mime: "image/png" }],
-                },
-              }),
-            ],
-            cache: "none",
-          }),
-        )
-        expect(prepared.body.messages[1]).toEqual({
-          role: "user",
-          content: [
-            { toolResult: { toolUseId: "tool_1", content: [{ text: "See attached image." }], status: "success" } },
-            { image: { format: "png", source: { bytes: "AAAA" } } },
-          ],
-        })
-      }
-    }),
-  )
-  ;["global.anthropic.claude-sonnet-4-5-20250929-v1:0", "us.amazon.nova-pro-v1:0"].forEach((id) => {
-    it.effect(`keeps ${id} tool images inside the result`, () =>
-      Effect.gen(function* () {
-        const prepared = yield* compileRequest(
-          LLM.request({
-            model: AmazonBedrock.configure({ baseURL: "https://bedrock-runtime.test", apiKey: "test-bearer" }).model(
-              id,
-            ),
-            messages: [
-              Message.assistant([ToolCallPart.make({ id: "tool_1", name: "read", input: {} })]),
-              Message.tool({
-                id: "tool_1",
-                name: "read",
-                result: {
-                  type: "content",
-                  value: [{ type: "file", uri: "data:image/png;base64,AAAA", mime: "image/png" }],
-                },
-              }),
-            ],
-            cache: "none",
-          }),
-        )
-
-        expect(prepared.body.messages[1]).toEqual({
-          role: "user",
-          content: [
-            {
-              toolResult: {
-                toolUseId: "tool_1",
-                content: [{ image: { format: "png", source: { bytes: "AAAA" } } }],
-                status: "success",
-              },
-            },
-          ],
-        })
-      }),
-    )
-  })
-
-  it.effect("keeps parallel tool results before hoisted images and gives image-only results text", () =>
-    Effect.gen(function* () {
-      const prepared = yield* compileRequest(
-        LLM.request({
-          model: AmazonBedrock.configure({ baseURL: "https://bedrock-runtime.test", apiKey: "test-bearer" }).model(
-            "global.openai.gpt-6-sol",
-          ),
-          messages: [
-            Message.assistant([
-              ToolCallPart.make({ id: "tool_1", name: "first", input: {} }),
-              ToolCallPart.make({ id: "tool_2", name: "second", input: {} }),
-            ]),
-            Message.tool({
-              id: "tool_1",
-              name: "first",
-              result: {
-                type: "content",
-                value: [{ type: "file", uri: "data:image/png;base64,AAAA", mime: "image/png" }],
-              },
-            }),
-            Message.tool({
-              id: "tool_2",
-              name: "second",
-              result: {
-                type: "content",
-                value: [
-                  { type: "text", text: "Second image." },
-                  { type: "file", uri: "data:image/jpeg;base64,BBBB", mime: "image/jpeg" },
-                ],
-              },
-            }),
-          ],
-          cache: "none",
-        }),
-      )
-
-      expect(prepared.body.messages[1]).toEqual({
-        role: "user",
-        content: [
-          { toolResult: { toolUseId: "tool_1", content: [{ text: "See attached image." }], status: "success" } },
-          { toolResult: { toolUseId: "tool_2", content: [{ text: "Second image." }], status: "success" } },
-          { image: { format: "png", source: { bytes: "AAAA" } } },
-          { image: { format: "jpeg", source: { bytes: "BBBB" } } },
-        ],
-      })
-    }),
-  )
-
  it.effect("decodes text-delta + messageStop + metadata usage from binary event stream", () =>
    Effect.gen(function* () {
      const body = eventStreamBody(
@@ -1266,12 +1099,6 @@ describe("Bedrock Converse route", () => {
            { toolUse: { toolUseId: "call_1", name: "lookup", input: {} } },
          ],
        },
-        {
-          role: "user",
-          content: [
-            { toolResult: { toolUseId: "call_1", content: [{ text: "Tool result missing" }], status: "error" } },
-          ],
-        },
      ])
    }),
  )
@@ -1474,11 +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",
@@ -1556,13 +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" } } },
      ])
@@ -39,16 +39,9 @@ describe("Cloudflare", () => {
      )

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

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

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