feat(core): let agents create recurring and one-shot schedules

Adds schedule_create, schedule_list and schedule_cancel tools in the opencode namespace so the agent can schedule prompts back into its own session. schedule_create accepts `every` (30s/15m/2h/1d), `at` (ISO 8601 with offset) for a single run, or both (`at` sets the first run). SessionSchedule now stores multiple schedules per session, keyed by a new `sch_` ID, and persists the absolute next fire time instead of only the interval. This replaces the one-schedule-per-session model and fixes restarts resetting the countdown: one-shots fire at their original time after a restart, and overdue recurring schedules fire once then resume their cadence rather than bursting. `/schedule off` now cancels every schedule in the session. Past `at` times, missing timing and invalid intervals return tool errors. Verified with an isolated managed-mode server and a scripted OpenAI-compatible mock model driving `execute`: create every 5s fired every 5s; `at` fired at 15:55:42.013 for a 15:55:42 target; a one-shot created before a restart fired on time after it (15:56:23.013); list returned both schedules with server time; cancel stopped firing; invalid inputs returned the three expected errors. core and server typecheck.
chore(core): format session schedule service
2026-10-03 05:56:18 +00:00 · 2026-09-29 11:57:09 -04:00 · 2026-09-29 11:51:17 -04:00 · 2026-09-29 11:43:20 -04:00 · 2026-09-29 11:35:53 -04:00
2018 changed files with 89931 additions and 94456 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": "2.0.22",
+      "version": "2.0.19",
      "dependencies": {
        "@aws-sdk/credential-providers": "3.1057.0",
        "@opencode/schema": "workspace:*",
@@ -55,7 +54,7 @@
    },
    "packages/app": {
      "name": "@opencode/app",
-      "version": "2.0.22",
+      "version": "2.0.19",
      "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",
@@ -110,40 +110,15 @@
        "vite-plugin-solid": "2.11.14",
      },
    },
-    "packages/browser-extension": {
-      "name": "@opencode/browser-extension",
-      "version": "2.0.22",
-      "dependencies": {
-        "@opencode/client": "workspace:*",
-        "@opencode/plugin-browser": "workspace:*",
-        "@opencode/session-ui": "workspace:*",
-        "@opencode/ui": "workspace:*",
-        "effect": "catalog:",
-        "solid-js": "catalog:",
-      },
-      "devDependencies": {
-        "@opencode/plugin": "workspace:*",
-        "@tailwindcss/vite": "4.3.3",
-        "@tsconfig/node22": "catalog:",
-        "@types/bun": "catalog:",
-        "@types/chrome": "0.3.4",
-        "@typescript/native-preview": "catalog:",
-        "devtools-protocol": "0.0.1687809",
-        "tailwindcss": "catalog:",
-        "typescript": "catalog:",
-        "vite": "8.2.2",
-        "vite-plugin-solid": "2.11.14",
-      },
-    },
    "packages/cli": {
      "name": "@opencode/cli",
-      "version": "2.0.22",
+      "version": "2.0.19",
      "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:",
@@ -158,7 +133,6 @@
        "@opentui/solid": "catalog:",
        "@parcel/watcher": "2.5.1",
        "@silvia-odwyer/photon-node": "0.3.4",
-        "diff": "catalog:",
        "effect": "catalog:",
        "immer": "11.1.4",
        "jsonc-parser": "3.3.1",
@@ -204,7 +178,7 @@
    },
    "packages/client": {
      "name": "@opencode/client",
-      "version": "2.0.22",
+      "version": "2.0.19",
      "dependencies": {
        "@opencode/protocol": "workspace:*",
        "@opencode/schema": "workspace:*",
@@ -230,7 +204,7 @@
    },
    "packages/codemode": {
      "name": "@opencode/codemode",
-      "version": "2.0.22",
+      "version": "2.0.19",
      "dependencies": {
        "acorn": "8.15.0",
        "effect": "catalog:",
@@ -243,7 +217,7 @@
    },
    "packages/console/app": {
      "name": "@opencode/console-app",
-      "version": "2.0.22",
+      "version": "2.0.19",
      "dependencies": {
        "@cloudflare/vite-plugin": "1.15.2",
        "@ibm/plex": "6.4.1",
@@ -279,7 +253,7 @@
    },
    "packages/console/core": {
      "name": "@opencode/console-core",
-      "version": "2.0.22",
+      "version": "2.0.19",
      "dependencies": {
        "@aws-sdk/client-sts": "3.782.0",
        "@jsx-email/render": "1.1.1",
@@ -306,7 +280,7 @@
    },
    "packages/console/function": {
      "name": "@opencode/console-function",
-      "version": "2.0.22",
+      "version": "2.0.19",
      "dependencies": {
        "@openauthjs/openauth": "0.0.0-20250322224806",
        "@opencode/console-core": "workspace:*",
@@ -323,7 +297,7 @@
    },
    "packages/console/mail": {
      "name": "@opencode/console-mail",
-      "version": "2.0.22",
+      "version": "2.0.19",
      "dependencies": {
        "@jsx-email/all": "2.2.3",
        "@jsx-email/cli": "1.4.3",
@@ -347,7 +321,7 @@
    },
    "packages/console/support": {
      "name": "@opencode/console-support",
-      "version": "2.0.22",
+      "version": "2.0.19",
      "dependencies": {
        "@cloudflare/vite-plugin": "1.15.2",
        "@opencode/console-core": "workspace:*",
@@ -367,7 +341,7 @@
    },
    "packages/core": {
      "name": "@opencode/core",
-      "version": "2.0.22",
+      "version": "2.0.19",
      "dependencies": {
        "@ai-sdk/cohere": "3.0.27",
        "@ai-sdk/gateway": "3.0.104",
@@ -403,7 +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",
@@ -436,7 +409,7 @@
    },
    "packages/desktop": {
      "name": "@opencode/desktop",
-      "version": "2.0.22",
+      "version": "2.0.19",
      "dependencies": {
        "@zip.js/zip.js": "2.7.62",
        "electron-context-menu": "5.0.0",
@@ -450,22 +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-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",
@@ -481,7 +458,7 @@
    },
    "packages/enterprise": {
      "name": "@opencode/enterprise",
-      "version": "2.0.22",
+      "version": "2.0.19",
      "dependencies": {
        "@hono/standard-validator": "catalog:",
        "@opencode-ai/sdk": "1.18.21",
@@ -518,7 +495,7 @@
    },
    "packages/function": {
      "name": "@opencode/function",
-      "version": "2.0.22",
+      "version": "2.0.19",
      "dependencies": {
        "@octokit/auth-app": "8.0.1",
        "@octokit/rest": "catalog:",
@@ -532,54 +509,9 @@
        "typescript": "catalog:",
      },
    },
-    "packages/gui-extensions": {
-      "name": "@opencode/gui-extensions",
-      "version": "2.0.22",
-      "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:",
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      "name": "@opencode/http-recorder",
-      "version": "2.0.22",
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      },
@@ -598,7 +530,7 @@
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      "name": "@opencode/httpapi-codegen",
-      "version": "2.0.22",
+      "version": "2.0.19",
      "dependencies": {
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@@ -611,7 +543,7 @@
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    "packages/latex": {
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-      "version": "2.0.22",
+      "version": "2.0.19",
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@@ -625,7 +557,7 @@
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-      "version": "2.0.22",
+      "version": "2.0.19",
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@@ -640,7 +572,7 @@
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@@ -666,8 +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",
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@@ -679,7 +611,7 @@
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@@ -709,7 +641,7 @@
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-      "version": "2.0.22",
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@@ -724,7 +656,7 @@
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        "effect": "catalog:",
@@ -748,7 +680,7 @@
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+      "version": "2.0.19",
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@@ -769,7 +701,7 @@
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-      "version": "2.0.22",
+      "version": "2.0.19",
      "dependencies": {
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@@ -791,7 +723,7 @@
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-      "version": "2.0.22",
+      "version": "2.0.19",
      "dependencies": {
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        "@opencode/client": "workspace:*",
@@ -826,7 +758,7 @@
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-      "version": "2.0.22",
+      "version": "2.0.19",
      "dependencies": {
        "@opencode/ai": "workspace:*",
        "@opencode/core": "workspace:*",
@@ -846,7 +778,7 @@
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-      "version": "2.0.22",
+      "version": "2.0.19",
      "dependencies": {
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        "@kobalte/core": "catalog:",
@@ -880,7 +812,7 @@
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-      "version": "2.0.22",
+      "version": "2.0.19",
      "dependencies": {
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@@ -899,7 +831,7 @@
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-      "version": "2.0.22",
+      "version": "2.0.19",
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        "@effect/platform-node": "catalog:",
@@ -945,7 +877,7 @@
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-      "version": "2.0.22",
+      "version": "2.0.19",
      "dependencies": {
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        "effect": "catalog:",
@@ -959,7 +891,7 @@
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-      "version": "2.0.22",
+      "version": "2.0.19",
      "dependencies": {
        "@opencode/client": "workspace:*",
        "@opencode/core": "workspace:*",
@@ -993,7 +925,7 @@
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-      "version": "2.0.22",
+      "version": "2.0.19",
      "dependencies": {
        "@kobalte/core": "catalog:",
        "@pierre/diffs": "catalog:",
@@ -1028,7 +960,7 @@
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-      "version": "2.0.22",
+      "version": "2.0.19",
      "dependencies": {
        "@effect/opentelemetry": "catalog:",
        "@effect/platform-node": "catalog:",
@@ -1066,7 +998,7 @@
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      "name": "@opencode/web",
-      "version": "2.0.22",
+      "version": "2.0.19",
      "dependencies": {
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@@ -1107,7 +1039,7 @@
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-      "version": "2.0.22",
+      "version": "2.0.19",
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@@ -1184,9 +1116,9 @@
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@@ -2214,8 +2146,6 @@

    "@opencode/app": ["@opencode/app@workspace:packages/app"],

-    "@opencode/browser-extension": ["@opencode/browser-extension@workspace:packages/browser-extension"],
-
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    "@opencode/client": ["@opencode/client@workspace:packages/client"],
@@ -2244,8 +2174,6 @@

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    "@pagefind/darwin-x64": ["@pagefind/darwin-x64@1.5.2", "", { "os": "darwin", "cpu": "x64" }, "sha512-IojxFWMEJe0RQ7PQ3KXQsPIImNsbpPYpoZ+QUDrL8fAl/O27IX+LVLs74/UzEZy5uA2LD8Nz1AiwKr72vrkZQw=="],
@@ -3138,8 +3064,6 @@

    "@types/chai": ["@types/chai@5.2.3", "", { "dependencies": { "@types/deep-eql": "*", "assertion-error": "^2.0.1" } }, "sha512-Mw558oeA9fFbv65/y4mHtXDs9bPnFMZAL/jxdPFUpOHHIXX91mcgEHbS5Lahr+pwZFR8A7GQleRWeI6cGFC2UA=="],

-    "@types/chrome": ["@types/chrome@0.3.4", "", { "dependencies": { "@types/filesystem": "*", "@types/har-format": "*" } }, "sha512-dcySM5R3WAUVYFjylu6tvI4D03hPKjgAqk+tKZ/tm/vxL4mLgbnSsOEQ3J7V99qP/U3Oo9IORstJLmX2hPaDlA=="],
-
    "@types/cross-spawn": ["@types/cross-spawn@6.0.6", "", { "dependencies": { "@types/node": "*" } }, "sha512-fXRhhUkG4H3TQk5dBhQ7m/JDdSNHKwR2BBia62lhwEIq9xGiQKLxd6LymNhn47SjXhsUEPmxi+PKw2OkW4LLjA=="],

    "@types/d3": ["@types/d3@7.4.3", "", { "dependencies": { "@types/d3-array": "*", "@types/d3-axis": "*", "@types/d3-brush": "*", "@types/d3-chord": "*", "@types/d3-color": "*", "@types/d3-contour": "*", "@types/d3-delaunay": "*", "@types/d3-dispatch": "*", "@types/d3-drag": "*", "@types/d3-dsv": "*", "@types/d3-ease": "*", "@types/d3-fetch": "*", "@types/d3-force": "*", "@types/d3-format": "*", "@types/d3-geo": "*", "@types/d3-hierarchy": "*", "@types/d3-interpolate": "*", "@types/d3-path": "*", "@types/d3-polygon": "*", "@types/d3-quadtree": "*", "@types/d3-random": "*", "@types/d3-scale": "*", "@types/d3-scale-chromatic": "*", "@types/d3-selection": "*", "@types/d3-shape": "*", "@types/d3-time": "*", "@types/d3-time-format": "*", "@types/d3-timer": "*", "@types/d3-transition": "*", "@types/d3-zoom": "*" } }, "sha512-lZXZ9ckh5R8uiFVt8ogUNf+pIrK4EsWrx2Np75WvF/eTpJ0FMHNhjXk8CKEx/+gpHbNQyJWehbFaTvqmHWB3ww=="],
@@ -3212,18 +3136,12 @@

    "@types/estree-jsx": ["@types/estree-jsx@1.0.5", "", { "dependencies": { "@types/estree": "*" } }, "sha512-52CcUVNFyfb1A2ALocQw/Dd1BQFNmSdkuC3BkZ6iqhdMfQz7JWOFRuJFloOzjk+6WijU56m9oKXFAXc7o3Towg=="],

-    "@types/filesystem": ["@types/filesystem@0.0.36", "", { "dependencies": { "@types/filewriter": "*" } }, "sha512-vPDXOZuannb9FZdxgHnqSwAG/jvdGM8Wq+6N4D/d80z+D4HWH+bItqsZaVRQykAn6WEVeEkLm2oQigyHtgb0RA=="],
-
-    "@types/filewriter": ["@types/filewriter@0.0.33", "", {}, "sha512-xFU8ZXTw4gd358lb2jw25nxY9QAgqn2+bKKjKOYfNCzN4DKCFetK7sPtrlpg66Ywe3vWY9FNxprZawAh9wfJ3g=="],
-
    "@types/fontkit": ["@types/fontkit@2.0.9", "", { "dependencies": { "@types/node": "*" } }, "sha512-qNYerFky3muCmZPq+R+B3cUDRA5OONw/oh6aGGFxx2LOBz6yu8eamKusrhkHnC6rc2fm76+G9z9QoWSB2SaQaw=="],

    "@types/fs-extra": ["@types/fs-extra@9.0.13", "", { "dependencies": { "@types/node": "*" } }, "sha512-nEnwB++1u5lVDM2UI4c1+5R+FYaKfaAzS4OococimjVm3nQw3TuzH5UNsocrcTBbhnerblyHj4A49qXbIiZdpA=="],

    "@types/geojson": ["@types/geojson@7946.0.16", "", {}, "sha512-6C8nqWur3j98U6+lXDfTUWIfgvZU+EumvpHKcYjujKH7woYyLj2sUmff0tRhrqM7BohUw7Pz3ZB1jj2gW9Fvmg=="],

-    "@types/har-format": ["@types/har-format@1.2.16", "", {}, "sha512-fluxdy7ryD3MV6h8pTfTYpy/xQzCFC7m89nOH9y94cNqJ1mDIDPut7MnRHI3F6qRmh/cT2fUjG1MLdCNb4hE9A=="],
-
    "@types/hast": ["@types/hast@3.0.5", "", { "dependencies": { "@types/unist": "*" } }, "sha512-rp/ezSWaD1m44dPKICGhiskI13nVr7qTloFwDa/IYkhhf5nzwP+zIQcIJh3WIFSBOy/H1PzB40jPjMDksN4F+g=="],

    "@types/http-cache-semantics": ["@types/http-cache-semantics@4.2.0", "", {}, "sha512-L3LgimLHXtGkWikKnsPg0/VFx9OGZaC+eN1u4r+OB1XRqH3meBIAVC2zr1WdMH+RHmnRkqliQAOHNJ/E0j/e0Q=="],
@@ -6256,8 +6174,6 @@

    "@openauthjs/openauth/jose": ["jose@5.9.6", "", {}, "sha512-AMlnetc9+CV9asI19zHmrgS/WYsWUwCn2R7RzlbJWD7F9eWYUTGyBmU9o6PxngtLGOiDGPRu+Uc4fhKzbpteZQ=="],

-    "@opencode/browser-extension/tailwindcss": ["tailwindcss@4.1.11", "", {}, "sha512-2E9TBm6MDD/xKYe+dvJZAmg3yxIEDNRc0jwlNyDg/4Fil2QcSLjFKGVff0lAf1jjeaArlG/M75Ey/EYr/OJtBA=="],
-
    "@opencode/cli/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/cli/vite-plugin-solid": ["vite-plugin-solid@2.11.10", "", { "dependencies": { "@babel/core": "^7.23.3", "@types/babel__core": "^7.20.4", "babel-preset-solid": "^1.8.4", "merge-anything": "^5.1.7", "solid-refresh": "^0.6.3", "vitefu": "^1.0.4" }, "peerDependencies": { "@testing-library/jest-dom": "^5.16.6 || ^5.17.0 || ^6.*", "solid-js": "^1.7.2", "vite": "^3.0.0 || ^4.0.0 || ^5.0.0 || ^6.0.0 || ^7.0.0" }, "optionalPeers": ["@testing-library/jest-dom"] }, "sha512-Yr1dQybmtDtDAHkii6hXuc1oVH9CPcS/Zb2jN/P36qqcrkNnVPsMTzQ06jyzFPFjj3U1IYKMVt/9ZqcwGCEbjw=="],
@@ -6282,8 +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=="],
@@ -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
@@ -13,12 +13,7 @@
  opencode,
 }:
 let
-  electronPin =
-    (lib.pipe ../packages/desktop/package.json [
-      builtins.readFile
-      builtins.fromJSON
-    ]).devDependencies.electron;
-  electron = callPackage ./electron.nix { inherit electronPin; };
+  electron = callPackage ./electron.nix { };
 in
 stdenv.mkDerivation (finalAttrs: {
  pname = "opencode-desktop";
@@ -71,7 +66,7 @@ stdenv.mkDerivation (finalAttrs: {
    ''
    # https://github.com/electron/electron/issues/31121
    # mac builds use a .app bundle which doesnt have this issue
-    + lib.optionalString stdenv.hostPlatform.isLinux ''
+    + lib.optionalString stdenv.isLinux ''
      substituteInPlace \
        packages/desktop/src/main/windows/appearance.ts \
        packages/desktop/src/main/service/desktop-cli.ts \
@@ -79,7 +74,6 @@ stdenv.mkDerivation (finalAttrs: {
    '';

  preBuild = ''
-    echo "electron ${electron.version} from nixpkgs ${lib.version}, package.json pins ${electronPin}"
    cp -r "${electron.dist}" $HOME/.electron-dist
    chmod -R u+w $HOME/.electron-dist

@@ -95,15 +89,8 @@ stdenv.mkDerivation (finalAttrs: {

    export OPENCODE_CLI_DIST="$TMPDIR/desktop-cli"
    cli_package=$(bun -e 'import { getCurrentCli } from "./scripts/utils.ts"; console.log(getCurrentCli().package.replace("@opencode/", ""))')
-    # copyBuiltCliToResources joins this dist with the npm package name getCurrentCli()
-    # reports, not the Nix build's name. It reads only .version from the manifest and
-    # writes it as opencode-cli.version beside the binary.
    mkdir -p "$OPENCODE_CLI_DIST/$cli_package/bin"
    cp ${lib.getExe opencode} "$OPENCODE_CLI_DIST/$cli_package/bin/opencode"
-    # OPENCODE_VERSION is what the bundled CLI prints for --version, so the manifest
-    # and the executable cannot drift.
-    bun -e 'await Bun.write(process.argv[1], JSON.stringify({ version: process.env.OPENCODE_VERSION }) + "\n")' \
-      "$OPENCODE_CLI_DIST/$cli_package/package.json"

    bun run build
    npx electron-builder --dir \
@@ -151,13 +138,6 @@ stdenv.mkDerivation (finalAttrs: {
    "libc.musl-x86_64.so.1"
  ];

-  passthru = {
-    # electronVersion is what ships; electronPin is what packages/desktop/package.json
-    # asks for. They differ whenever nixpkgs carries no release of the pinned minor.
-    electronVersion = electron.version;
-    inherit electronPin;
-  };
-
  meta = {
    description = "OpenCode Desktop App";
    mainProgram = "opencode-desktop";
@@ -1,10 +1,13 @@
-{ lib, pkgs, electronPin }:
+{ callPackage, path }:
 let
-  # Nixpkgs owns the release hashes, so bumping the pin no longer means editing this repo. Only the
-  # major is delegated, so what gets built trails the pin whenever nixpkgs has not shipped it yet.
-  # That is safe: the bundle ships one native addon, node-pty's Node-API prebuild, and
-  # only the win32 WSL runtime loads it, so nothing in the main process binds the
-  # Electron ABI.
-  major = lib.versions.major electronPin;
+  version = (builtins.fromJSON (builtins.readFile ../packages/desktop/package.json)).devDependencies.electron;
 in
-pkgs."electron_${major}-bin" or (throw "nixpkgs ${lib.version} carries no prebuilt electron ${major}: run `nix flake update nixpkgs`, or pin a major nixpkgs still carries")
+(callPackage (path + "/pkgs/development/tools/electron/binary/generic.nix") { }) version {
+  # Electron 42.10.1 SHASUMS256.txt; update with the desktop package version.
+  aarch64-linux = "20e68d6c4e47f3ebf59de7c6b1f8b8bec6a6ebda6a451132f9b465f3f13ce467";
+  x86_64-linux = "2452b27112d92387471fa2488aafac85d79ea3f2ee1216c0abd5150d6c12362b";
+  aarch64-darwin = "ac7194a3dfd81930ba35355c01620262c1254752859b42dcb8f4b9e4d174a871";
+  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-EEBz2IQ14YPShAzY13zpZ7btq/EuSw86pZ6nrizc9BI=",
-    "aarch64-linux": "sha256-X7om4U4OlKL4OddEMcyKL+1DCQXc9/f1xzzopE16Zmk=",
-    "aarch64-darwin": "sha256-3bejEuX3AGv4SR/16O8KjNSO2t9WDaWCHRbBXsJ6z8A="
+    "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"
  ];
 }
@@ -12,7 +12,7 @@
  installShellFiles,
  versionCheckHook,
  writableTmpDirAsHomeHook,
-  node_modules ? callPackage ./node_modules.nix { },
+  node_modules ? callPackage ./node-modules.nix { },
 }:
 stdenvNoCC.mkDerivation (finalAttrs: {
  pname = "opencode";
@@ -85,30 +85,14 @@ stdenvNoCC.mkDerivation (finalAttrs: {
  '';

  postInstall = lib.optionalString (stdenvNoCC.buildPlatform.canExecute stdenvNoCC.hostPlatform) ''
-    # v2 dropped the `completion` subcommand; --completions is the global flag.
-    # --completions also accepts sh, which emits the same script as bash.
-    # staged to files, substitute below rejects anything that is not a regular file
-    $out/bin/opencode --completions bash > opencode.bash
-    $out/bin/opencode --completions zsh > _opencode
-    $out/bin/opencode --completions fish > opencode.fish
-
+    # trick yargs into also generating zsh completions
    installShellCompletion --cmd opencode \
-      --bash opencode.bash \
-      --fish opencode.fish \
-      --zsh _opencode
-
-    # OPENCODE_CLI_NAME is a build-time define, so the opencode2 copies are
-    # renamed rather than regenerated. --replace-fail is a global literal
-    # substitution, so any lowercase opencode that later appears in a
-    # description or help text ships as opencode2 in the opencode2 copy.
-    substitute opencode.bash opencode2.bash --replace-fail opencode opencode2
-    substitute _opencode _opencode2 --replace-fail opencode opencode2
-    substitute opencode.fish opencode2.fish --replace-fail opencode opencode2
+      --bash <($out/bin/opencode completion) \
+      --zsh <(SHELL=/bin/zsh $out/bin/opencode completion)

    installShellCompletion --cmd opencode2 \
-      --bash opencode2.bash \
-      --fish opencode2.fish \
-      --zsh _opencode2
+      --bash <($out/bin/opencode2 completion) \
+      --zsh <(SHELL=/bin/zsh $out/bin/opencode2 completion)
  '';

  nativeInstallCheckInputs = [
@@ -2,7 +2,7 @@
  "$schema": "https://json.schemastore.org/package.json",
  "name": "opencode",
  "description": "AI-powered development tool",
-  "version": "2.0.22",
+  "version": "2.0.19",
  "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",
@@ -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": "2.0.22",
+  "version": "2.0.19",
  "name": "@opencode/ai",
  "type": "module",
  "license": "MIT",
@@ -38,7 +38,6 @@ const resolve = (policy: CachePolicy | undefined): CachePolicyObject => {
 // prefix caching, Gemini's implicit + out-of-band CachedContent). Skip the
 // whole policy pass for these — emitting hints would be harmless but pointless.
 const RESPECTS_INLINE_HINTS = new Set([
-  "alibaba-chat",
  "alibaba-messages",
  "anthropic-messages",
  "anthropic-compatible-messages",
@@ -50,21 +49,8 @@ const RESPECTS_INLINE_HINTS = new Set([
  "zai-coding-messages",
  "bedrock-converse",
  "openrouter",
-  "digitalocean",
 ])

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

@@ -170,14 +156,9 @@ 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)
-      : request.model.route.id === "alibaba-chat" && (request.cache === undefined || request.cache === "auto")
-        ? request.model.id.toLowerCase().startsWith("qwen")
-          ? QWEN
-          : NONE
-        : 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)
@@ -3,7 +3,6 @@ import { Protocol } from "../route/protocol.js"
 import type { LanguageModelCompatibility } from "../schema/index.js"
 import { OpenAIChat } from "./openai-chat.js"
 import { JsonObject, ProviderShared } from "./shared.js"
-import { cacheControl } from "./utils/cache.js"
 import { OpenResponsesOptions } from "./utils/open-responses-options.js"

 export type ReasoningEffort = OpenResponsesOptions.ReasoningEffort
@@ -69,7 +68,7 @@ export const protocol = Protocol.make({
    from: Effect.fn("AlibabaChat.fromRequest")(function* (req) {
      const opts = yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(Options))(req.providerOptions ?? {})
      return {
-        ...(yield* OpenAIChat.fromRequest(req, { cacheControl: cacheControl() })),
+        ...(yield* OpenAIChat.protocol.body.from(req)),
        enable_thinking: opts.enableThinking,
        // Alibaba also rejects an explicit budget that is not below `max_completion_tokens`.
        thinking_budget:
@@ -451,9 +451,6 @@ 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 +804,15 @@ 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 +989,13 @@ const lowerMessages = Effect.fn("AnthropicMessages.lowerMessages")(function* (
  return messages
 })

-// Per-turn effort started with Claude Opus 5 and every Claude 5.1 model; later versions of any family inherit it.
 const supportsEffortUpdates = (model: LLMRequest["model"]) => {
  const override = model.compatibility?.supportsEffortUpdates
  if (override !== undefined) return override
  const version = claudeVersion(model.id)
  if (version === undefined) return false
-  if (version.family === "opus" && 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 +1417,10 @@ 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,
    }
@@ -319,9 +319,6 @@ 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 +328,8 @@ 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 +403,7 @@ 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 +413,6 @@ const lowerMessages = Effect.fn("BedrockConverse.lowerMessages")(function* (
    else messages.push({ role: "user", content })
  }

-  flushImages()
  return messages
 })

@@ -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"
@@ -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) }
-  }
-}
@@ -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,
@@ -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)) &&
@@ -126,8 +110,7 @@ const QUOTA_CODES = new Set([
  "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", "api_key_invalid"])
 const SERVER_CODES = new Set([
  "api_error",
  "internal_error",
@@ -141,7 +124,6 @@ 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",
@@ -161,19 +143,15 @@ 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

@@ -264,12 +242,7 @@ 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 ||
@@ -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) =>
@@ -159,15 +159,6 @@ const nativeTransportFailure = (error: unknown) => {
  return failure
 }

-// HTTP hooks re-wrap response bodies, so a read failure can arrive as an HttpClientError caused by
-// another HttpClientError. The innermost cause carries the native failure.
-const rootCause = (error: unknown): unknown =>
-  HttpClientError.isHttpClientError(error) && "cause" in error.reason && error.reason.cause !== undefined
-    ? rootCause(error.reason.cause)
-    : error
-
-const CONNECTION_LOST = "Connection lost while reading the response"
-
 const httpError = (input: {
  readonly error: unknown
  readonly request: HttpClientRequest.HttpClientRequest
@@ -188,21 +179,20 @@ const httpError = (input: {
      }),
    })

-  const source = rootCause(input.error)
+  const source =
+    HttpClientError.isHttpClientError(input.error) && "cause" in input.error.reason
+      ? (input.error.reason.cause ?? input.error)
+      : input.error
  const native = nativeTransportFailure(source)
  const code = native?.code
-  const detail =
-    code && native?.message && !native.message.includes(code) ? `${code}: ${native.message}` : native?.message
-  const message = detail ?? (input.error instanceof Error ? input.error.message : undefined)
+  const raw = native?.message ?? (input.error instanceof Error ? input.error.message : undefined)
+  const detail = raw
+  const message = code && detail && !detail.includes(code) ? `${code}: ${detail}` : detail

  if (Cause.isTimeoutError(input.error) || Cause.isTimeoutError(source))
    return transportError({ message: message ?? "HTTP transport timed out", code: code ?? "Timeout" })
  if (!HttpClientError.isHttpClientError(input.error))
    return transportError({ message: message ?? "HTTP transport failed", code })
-  // Effect reports every response body read failure as a DecodeError, but the raw byte stream decodes
-  // nothing: provider output parsing happens later and fails as InvalidProviderOutput.
-  if (input.operation === "read" && input.error.reason._tag === "DecodeError")
-    return transportError({ message: detail ? `${CONNECTION_LOST}: ${detail}` : CONNECTION_LOST, code })
  if (input.error.reason._tag === "TransportError") {
    return transportError({
      message: message ?? input.error.reason.description ?? "HTTP transport failed",
@@ -1,19 +1,11 @@
-import { Clock, Duration, Effect, Stream } from "effect"
+import { Effect } from "effect"
 import { Headers, HttpClientRequest } from "effect/unstable/http"
 import { Auth } from "../auth.js"
 import { render as renderEndpoint } from "../endpoint.js"
 import { Framing } from "../framing.js"
 import type { HttpMiddleware, Transport, TransportPrepareInput } from "./index.js"
 import * as ProviderShared from "../../protocols/shared.js"
-import {
-  AIError,
-  DEFAULT_HTTP_TIMEOUT_MS,
-  mergeJsonRecords,
-  TransportError,
-  type HttpContext,
-  type HttpTimeout,
-  type LLMRequest,
-} from "../../schema/index.js"
+import { mergeJsonRecords, type LLMRequest } from "../../schema/index.js"
 import { RequestExecutor } from "../executor.js"

 export type JsonRequestInput<Body> = TransportPrepareInput<Body>
@@ -95,53 +87,17 @@ export const httpJson = <Body, Frame>(input: HttpJsonInput<Body, Frame>): HttpJs
        middleware: prepareInput.middleware,
      }
    }),
-  execute: (prepared, request, runtime) =>
+  execute: (prepared, _request, runtime) =>
    Effect.gen(function* () {
-      const timeout = (operation: "request" | "read", message: string, http?: HttpContext) =>
-        new AIError({
-          reason: new TransportError({
-            message,
-            transport: "http",
-            operation,
-            code: "Timeout",
-            url: prepared.request.url,
-            http,
-          }),
-        })
-      const started = yield* Clock.currentTimeMillis
-      // Unlike the header and chunk limits, the whole-request budget has no default.
-      const total = request.http?.timeout ? Duration.millis(request.http.timeout) : Duration.infinity
-      const response = yield* runtime.http.execute(prepared.request, prepared.middleware).pipe(
-        Effect.timeoutOrElse({
-          duration: Duration.min(timeoutDuration(request.http?.headerTimeout), total),
-          orElse: () => timeout("request", "Timed out waiting for response headers"),
-        }),
-      )
-      const http = RequestExecutor.responseHttp(response)
-      const remaining = Duration.subtract(total, Duration.millis((yield* Clock.currentTimeMillis) - started))
+      const response = yield* runtime.http.execute(prepared.request, prepared.middleware)
      return {
-        frames: prepared.framing.frame(
-          RequestExecutor.responseStream(response).pipe(
-            Stream.timeoutOrElse({
-              duration: timeoutDuration(request.http?.chunkTimeout),
-              orElse: () => Stream.fail(timeout("read", "Timed out waiting for response data", http)),
-            }),
-            Stream.interruptWhen(
-              Effect.sleep(remaining).pipe(
-                Effect.andThen(Effect.fail(timeout("read", "Timed out waiting for the response to complete", http))),
-              ),
-            ),
-          ),
-        ),
-        http,
+        frames: prepared.framing.frame(RequestExecutor.responseStream(response)),
+        http: RequestExecutor.responseHttp(response),
        body: prepared.framing.body,
      }
    }),
 })

-const timeoutDuration = (value: HttpTimeout | undefined) =>
-  value === false ? Duration.infinity : Duration.millis(value ?? DEFAULT_HTTP_TIMEOUT_MS)
-
 export const sseJson = {
  id: "http-json/sse",
  with: <Body>() => httpJson<Body, string>({ framing: Framing.sse }),
@@ -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>

@@ -48,23 +48,10 @@ export const mergeProviderOptions = (
  ...items: ReadonlyArray<ProviderOptions | undefined>
 ): ProviderOptions | undefined => mergeJsonRecords(...items)

-/** Milliseconds for an HTTP timeout, or `false` to disable it. */
-export const HttpTimeout = Schema.Union([Schema.Number.check(Schema.isGreaterThan(0)), Schema.Literal(false)])
-export type HttpTimeout = Schema.Schema.Type<typeof HttpTimeout>
-
-/** Applied to `headerTimeout` and `chunkTimeout` when a request leaves them unset. */
-export const DEFAULT_HTTP_TIMEOUT_MS = 300_000
-
 export class HttpOptions extends Schema.Class<HttpOptions>("AI.HttpOptions")({
  body: Schema.optional(JsonSchema),
  headers: Schema.optional(Schema.Record(Schema.String, Schema.String)),
  query: Schema.optional(Schema.Record(Schema.String, Schema.String)),
-  /** Time allowed for the whole request, from send until the response completes. Unbounded when unset. */
-  timeout: Schema.optional(HttpTimeout),
-  /** Time allowed for response headers to arrive. */
-  headerTimeout: Schema.optional(HttpTimeout),
-  /** Time allowed between streamed response chunks once headers have arrived. */
-  chunkTimeout: Schema.optional(HttpTimeout),
 }) {}

 export namespace HttpOptions {
@@ -83,12 +70,8 @@ export const mergeHttpOptions = (...items: ReadonlyArray<HttpOptions | undefined
  const body = mergeJsonRecords(...items.map((item) => item?.body))
  const headers = mergeStringRecords(...items.map((item) => item?.headers))
  const query = mergeStringRecords(...items.map((item) => item?.query))
-  const timeout = items.findLast((item) => item?.timeout !== undefined)?.timeout
-  const headerTimeout = items.findLast((item) => item?.headerTimeout !== undefined)?.headerTimeout
-  const chunkTimeout = items.findLast((item) => item?.chunkTimeout !== undefined)?.chunkTimeout
-  if (!body && !headers && !query && timeout === undefined && headerTimeout === undefined && chunkTimeout === undefined)
-    return undefined
-  return new HttpOptions({ body, headers, query, timeout, headerTimeout, chunkTimeout })
+  if (!body && !headers && !query) return undefined
+  return new HttpOptions({ body, headers, query })
 }

 export class GenerationOptions extends Schema.Class<GenerationOptions>("LLM.GenerationOptions")({
@@ -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
@@ -8,7 +8,6 @@ import {
  AmazonBedrock,
  AnthropicCompatible,
  CloudflareAIGateway,
-  DigitalOcean,
  GoogleVertexMessages,
  Meta,
  MiniMax,
@@ -118,86 +117,6 @@ 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("Alibaba chat caches the system and conversation tail without marking tools", () =>
-    Effect.gen(function* () {
-      const prepared = yield* compileRequest(
-        LLM.request({
-          model: Alibaba.configure({ region: "ap-southeast-1", apiKey: "test" }).chat("qwen3.8-max"),
-          system: "You are concise.",
-          tools: [{ name: "lookup", description: "Look up a value", inputSchema: { type: "object", properties: {} } }],
-          prompt: "hi",
-        }),
-      )
-
-      expect(prepared.body).toMatchObject({
-        tools: [{ type: "function", function: { name: "lookup" } }],
-        messages: [
-          {
-            role: "system",
-            content: [{ text: "You are concise.", cache_control: { type: "ephemeral" } }],
-          },
-          { role: "user", content: [{ text: "hi", cache_control: { type: "ephemeral" } }] },
-        ],
-      })
-      expect(prepared.body.tools?.[0]?.cache_control).toBeUndefined()
-    }),
-  )
-
-  it.effect("Alibaba chat omits automatic cache markers when cache is none", () =>
-    Effect.gen(function* () {
-      const prepared = yield* compileRequest(
-        LLM.request({
-          model: Alibaba.configure({ region: "ap-southeast-1", apiKey: "test" }).chat("qwen3.8-max"),
-          system: "You are concise.",
-          prompt: "hi",
-          cache: "none",
-        }),
-      )
-
-      expect(JSON.stringify(prepared.body)).not.toContain("cache_control")
-    }),
-  )
-
-  it.effect("Alibaba chat does not assume non-Qwen models support cache markers", () =>
-    Effect.gen(function* () {
-      const alibaba = Alibaba.configure({ region: "ap-southeast-1", apiKey: "test" })
-      for (const modelID of ["kimi-k3", "glm-5.2", "deepseek-v4-flash-0731", "MiniMax-M2.5"]) {
-        const prepared = yield* compileRequest(
-          LLM.request({ model: alibaba.chat(modelID), system: "You are concise.", prompt: "hi" }),
-        )
-
-        expect(JSON.stringify(prepared.body)).not.toContain("cache_control")
-      }
-    }),
-  )
-
  it.effect("'auto' emits Anthropic cache markers on Anthropic-compatible routes", () =>
    Effect.gen(function* () {
      const prepared = yield* compileRequest(
@@ -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* () {
@@ -1,17 +1,11 @@
 import { describe, expect } from "bun:test"
 import { Deferred, Effect, Fiber, Layer, Ref, Stream } from "effect"
-import { Headers, HttpClientError, HttpClientRequest, HttpClientResponse } from "effect/unstable/http"
-import { LLM, AIError, HttpContext, InvalidProviderOutputError, TransportError, isRetryable } from "../src/index.js"
-import {
-  LLMClient,
-  RequestExecutor,
-  WebSocketTransport,
-  type HttpMiddleware,
-  type WebSocketChannelExecutor,
-} from "../src/route.js"
+import { Headers, HttpClientError, HttpClientRequest } from "effect/unstable/http"
+import { LLM, AIError, HttpContext, InvalidProviderOutputError, TransportError } from "../src/index.js"
+import { LLMClient, RequestExecutor, WebSocketTransport, type WebSocketChannelExecutor } from "../src/route.js"
 import { route } from "../src/protocols/openai-chat.js"
 import { configure } from "../src/providers/openai.js"
-import { dynamicResponse, fixedResponse, handlerLayer, systemError, truncatedStream } from "./lib/http.js"
+import { dynamicResponse, fixedResponse, handlerLayer, systemError } from "./lib/http.js"
 import { deltaChunk } from "./lib/openai-chunks.js"
 import { sseEvents, sseRaw } from "./lib/sse.js"
 import { it } from "./lib/effect.js"
@@ -24,8 +18,6 @@ const secretRequest = HttpClientRequest.post("https://provider.test/v1/chat?api_
  HttpClientRequest.setHeaders(Headers.fromInput({ authorization: "Bearer header-secret-456" })),
 )

-const sseRequest = HttpClientRequest.post("https://provider.test/v1/messages")
-
 const expectAIError = (error: unknown) => {
  expect(error).toBeInstanceOf(AIError)
  if (!(error instanceof AIError)) throw new Error("expected AIError")
@@ -101,9 +93,7 @@ describe("RequestExecutor", () => {
      const error = yield* RequestExecutor.stream(executor, secretRequest).pipe(Stream.runDrain, Effect.flip)

      expectAIError(error)
-      expect(error.message).toBe(
-        "Connection lost while reading the response: ECONNRESET: disconnected query-secret-123 header-secret-456",
-      )
+      expect(error.message).toBe("ECONNRESET: disconnected query-secret-123 header-secret-456")
      expect(error.reason.http).toMatchObject({ status: 200, url: secretRequest.url })
      expect(error.reason.cause).toMatchObject({ code: "ECONNRESET" })
      expect(error.reason).toMatchObject({
@@ -133,7 +123,7 @@ describe("RequestExecutor", () => {
      const error = yield* RequestExecutor.stream(executor, secretRequest).pipe(Stream.runDrain, Effect.flip)

      expectAIError(error)
-      expect(error.message).toBe("Connection lost while reading the response: ECONNRESET: socket closed")
+      expect(error.message).toBe("ECONNRESET: socket closed")
      expect(error.reason.cause).toBeInstanceOf(TypeError)
      expect(error.reason).toMatchObject({
        _tag: "Transport",
@@ -154,54 +144,6 @@ describe("RequestExecutor", () => {
    ),
  )

-  it.effect("reports a connection lost mid-stream through middleware that re-wraps the body", () =>
-    Effect.gen(function* () {
-      const executor = yield* RequestExecutor.Service
-      const chunks: Array<Uint8Array> = []
-      // Session HTTP hooks hand plugins a web Response, so the body is re-wrapped around the original stream.
-      const rewrap: HttpMiddleware = (input, handler) =>
-        Effect.gen(function* () {
-          const response = yield* handler(input)
-          const body = yield* Stream.toReadableStreamEffect(response.stream)
-          return HttpClientResponse.fromWeb(
-            input,
-            new Response(body, { status: response.status, headers: response.headers }),
-          )
-        })
-      const error = yield* RequestExecutor.stream(executor, sseRequest, rewrap).pipe(
-        Stream.runForEach((chunk) => Effect.sync(() => chunks.push(chunk))),
-        Effect.flip,
-      )
-
-      expectAIError(error)
-      expect(new TextDecoder().decode(chunks[0])).toBe('data: {"type":"ping"}\n\n')
-      expect(error.message).toBe("Connection lost while reading the response: ECONNRESET: other side closed")
-      expect(error.reason.cause).toBeInstanceOf(TypeError)
-      expect(error.reason.http).toMatchObject({ status: 200 })
-      expect(error.reason).toMatchObject({ _tag: "Transport", operation: "read", code: "ECONNRESET" })
-      expect(isRetryable(error)).toBeTrue()
-    }).pipe(
-      Effect.provide(
-        truncatedStream(
-          ['data: {"type":"ping"}\n\n'],
-          new TypeError("terminated", { cause: systemError("ECONNRESET", "other side closed") }),
-        ),
-      ),
-    ),
-  )
-
-  it.effect("does not report a body read failure without a native cause as a decode error", () =>
-    Effect.gen(function* () {
-      const executor = yield* RequestExecutor.Service
-      const error = yield* RequestExecutor.stream(executor, sseRequest).pipe(Stream.runDrain, Effect.flip)
-
-      expectAIError(error)
-      expect(error.message).toBe("Connection lost while reading the response")
-      expect(error.reason).toMatchObject({ _tag: "Transport", operation: "read", code: undefined })
-      expect(isRetryable(error)).toBeTrue()
-    }).pipe(Effect.provide(truncatedStream(['data: {"type":"ping"}\n\n'], new DOMException("aborted", "AbortError")))),
-  )
-
  it.effect("preserves middleware error messages", () =>
    Effect.gen(function* () {
      const executor = yield* RequestExecutor.Service
@@ -10,7 +10,7 @@
      "usage"
    ],
    "name": "alibaba-chat/qwen-3-7-plus-streams-thinking-disabled",
-    "recordedAt": "2026-10-02T01:23:37.836Z"
+    "recordedAt": "2026-09-08T03:10:42.782Z"
  },
  "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,\"stream_options\":{\"include_usage\":true},\"max_completion_tokens\":4096,\"enable_thinking\":false}"
+        "body": "{\"model\":\"qwen3.7-plus\",\"messages\":[{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_completion_tokens\":4096,\"enable_thinking\":false}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream;charset=utf-8"
        },
-        "body": "data: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-e96a3356-bec9-98ad-bdbe-af00a15ee965\",\"created\":1790904216,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-e96a3356-bec9-98ad-bdbe-af00a15ee965\",\"choices\":[{\"delta\":{\"content\":\"3\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904216,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-e96a3356-bec9-98ad-bdbe-af00a15ee965\",\"choices\":[{\"delta\":{\"content\":\"7887\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904216,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-e96a3356-bec9-98ad-bdbe-af00a15ee965\",\"choices\":[{\"delta\":{\"content\":\"\"},\"index\":0,\"finish_reason\":\"stop\",\"logprobs\":null}],\"created\":1790904216,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"choices\":[],\"created\":1790904216,\"id\":\"chatcmpl-e96a3356-bec9-98ad-bdbe-af00a15ee965\",\"model\":\"qwen3.7-plus\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":5,\"prompt_tokens\":32,\"prompt_tokens_details\":{\"cache_creation\":{\"ephemeral_5m_input_tokens\":0},\"cache_creation_input_tokens\":0,\"cache_type\":\"ephemeral\",\"cache_write_tokens\":0,\"cached_tokens\":0,\"text_tokens\":32},\"total_tokens\":37}}\n\ndata: [DONE]\n\n"
+        "body": "data: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-047bcb67-b193-9a4f-9d77-ea0325be6d7c\",\"created\":1788837041,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-047bcb67-b193-9a4f-9d77-ea0325be6d7c\",\"choices\":[{\"delta\":{\"content\":\"3\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837041,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-047bcb67-b193-9a4f-9d77-ea0325be6d7c\",\"choices\":[{\"delta\":{\"content\":\"7887\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837041,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-047bcb67-b193-9a4f-9d77-ea0325be6d7c\",\"choices\":[{\"delta\":{\"content\":\"\"},\"index\":0,\"finish_reason\":\"stop\",\"logprobs\":null}],\"created\":1788837041,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"choices\":[],\"created\":1788837041,\"id\":\"chatcmpl-047bcb67-b193-9a4f-9d77-ea0325be6d7c\",\"model\":\"qwen3.7-plus\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":5,\"prompt_tokens\":32,\"prompt_tokens_details\":{\"cached_tokens\":0,\"text_tokens\":32},\"total_tokens\":37}}\n\ndata: [DONE]\n\n"
      }
    }
  ]
@@ -10,7 +10,7 @@
      "usage"
    ],
    "name": "alibaba-chat/qwen-3-7-plus-streams-thinking-enabled",
-    "recordedAt": "2026-10-02T01:23:43.998Z"
+    "recordedAt": "2026-09-08T03:10:54.099Z"
  },
  "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,\"stream_options\":{\"include_usage\":true},\"max_completion_tokens\":4096,\"enable_thinking\":true,\"thinking_budget\":1024}"
+        "body": "{\"model\":\"qwen3.7-plus\",\"messages\":[{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_completion_tokens\":4096,\"enable_thinking\":true,\"thinking_budget\":1024}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream;charset=utf-8"
        },
-        "body": "data: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fe-9ee8-a442-7a3881697fdf\",\"created\":1790904218,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fe-9ee8-a442-7a3881697fdf\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"Thinking\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904218,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fe-9ee8-a442-7a3881697fdf\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" Process:\\n\\n1\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904218,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fe-9ee8-a442-7a3881697fdf\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\".  Identify\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904218,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fe-9ee8-a442-7a3881697fdf\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" the core\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904218,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fe-9ee8-a442-7a3881697fdf\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" question: Calculate \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904218,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fe-9ee8-a442-7a3881697fdf\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"173 *\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904218,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fe-9ee8-a442-7a3881697fdf\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" 219\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904218,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fe-9ee8-a442-7a3881697fdf\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\".\\n2.\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904218,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fe-9ee8-a442-7a3881697fdf\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"  Constraint: Reply\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904218,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fe-9ee8-a442-7a3881697fdf\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" with *\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904218,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fe-9ee8-a442-7a3881697fdf\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"only* the final\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904218,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fe-9ee8-a442-7a3881697fdf\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" integer.\\n3\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904218,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fe-9ee8-a442-7a3881697fdf\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\".  Perform the\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904218,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fe-9ee8-a442-7a3881697fdf\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" multiplication:\\n\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904218,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fe-9ee8-a442-7a3881697fdf\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"    *   \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904218,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-70ed9ebc-62fLine truncated
+        "body": "data: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"Thinking\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" Process:\\n\\n1\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\".  **Ident\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"ify the core question\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\":** The user wants\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" to know the product\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" of \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"173 and\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" 219\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\".\\n2.\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"  **Identify\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" the constraint:** The\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" response must contain *\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"only\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"chatcmpl-ec928416-c99b-9f46-9805-cbb37bd7c499\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"* the final integer\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788837042,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.7-plus\",\"id\":\"cLine truncated
      }
    }
  ]
@@ -1,15 +1,9 @@
 {
  "version": 1,
  "metadata": {
-    "tags": [
-      "prefix:alibaba-chat",
-      "provider:alibaba",
-      "protocol:alibaba-chat",
-      "region:ap-southeast-1",
-      "image"
-    ],
+    "tags": ["prefix:alibaba-chat", "provider:alibaba", "protocol:alibaba-chat", "region:ap-southeast-1", "image"],
    "name": "alibaba-chat/qwen-3-8-flash-reads-image-bytes",
-    "recordedAt": "2026-10-02T01:23:45.179Z"
+    "recordedAt": "2026-09-08T03:10:55.585Z"
  },
  "interactions": [
    {
@@ -20,14 +14,14 @@
        "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_url\",\"image_url\":{\"url\":\"data:image/png;base64,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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_url\",\"image_url\":{\"url\":\"data:image/png;base64,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 truncated
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream;charset=utf-8"
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@@ -12,7 +12,7 @@
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{\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c075c2f7-07b5-975b-96bd-5ee12c72fb7c\",\"choices\":[{\"delta\":{\"content\":\" cost is \",\"reasoning_content\":\"\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836991,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c075c2f7-07b5-975b-96bd-5ee12c72fb7c\",\"choices\":[{\"delta\":{\"content\":\"219 ×\",\"reasoning_content\":\"\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836991,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c075c2f7-07b5-975b-96bd-5ee12c72fb7c\",\"choices\":[{\"delta\":{\"content\":\" $173\",\"reasoning_content\":\"\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836991,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c075c2f7-07b5-975b-96bd-5ee12c72fb7c\",\"choices\":[{\"delta\":{\"content\":\" = $37\",\"reasoning_content\":\"\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836991,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-c075c2f7-07b5-975b-96bd-5ee12c72fb7c\",\"choices\":[{\"delta\":{\"content\":\",887\",\"reasoning_content\":\Line truncated
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@@ -11,7 +11,7 @@
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-    "recordedAt": "2026-10-02T01:23:30.455Z"
+    "recordedAt": "2026-09-08T03:09:49.033Z"
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@@ -22,14 +22,14 @@
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      }
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@@ -11,7 +11,7 @@
      "usage"
    ],
    "name": "alibaba-chat/qwen-3-8-max-streams-medium-effort",
-    "recordedAt": "2026-10-02T01:23:20.103Z"
+    "recordedAt": "2026-09-08T03:09:38.233Z"
  },
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{\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-072fe561-8338-9cb0-b95c-7a4dea45151e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"73 × \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836967,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-072fe561-8338-9cb0-b95c-7a4dea45151e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"200 +\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836967,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-072fe561-8338-9cb0-b95c-7a4dea45151e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836967,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-072fe561-8338-9cb0-b95c-7a4dea45151e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"173 ×\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836967,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-072fe561-8338-9cb0-b95c-7a4dea45151e\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" 19\\n\"},\Line truncated
      }
    }
  ]
@@ -11,7 +11,7 @@
      "usage"
    ],
    "name": "alibaba-chat/qwen-3-8-max-streams-none-effort",
-    "recordedAt": "2026-10-02T01:23:09.451Z"
+    "recordedAt": "2026-09-08T03:09:27.584Z"
  },
  "interactions": [
    {
@@ -22,14 +22,14 @@
        "headers": {
          "content-type": "application/json"
        },
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+        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"none\",\"max_completion_tokens\":4096}"
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      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream;charset=utf-8"
        },
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+        "body": "data: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-d8fbc8fe-4d5a-9dc9-84c6-ed0c7b9dd3bb\",\"created\":1788836967,\"object\":\"chat.completion.chunk\",\"usage\":null,\"choices\":[{\"logprobs\":null,\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":null}]}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-d8fbc8fe-4d5a-9dc9-84c6-ed0c7b9dd3bb\",\"choices\":[{\"delta\":{\"content\":\"3\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836967,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-d8fbc8fe-4d5a-9dc9-84c6-ed0c7b9dd3bb\",\"choices\":[{\"delta\":{\"content\":\"78\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836967,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-d8fbc8fe-4d5a-9dc9-84c6-ed0c7b9dd3bb\",\"choices\":[{\"delta\":{\"content\":\"87\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836967,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-d8fbc8fe-4d5a-9dc9-84c6-ed0c7b9dd3bb\",\"choices\":[{\"delta\":{\"content\":\"\"},\"index\":0,\"finish_reason\":\"stop\",\"logprobs\":null}],\"created\":1788836967,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"choices\":[],\"created\":1788836967,\"id\":\"chatcmpl-d8fbc8fe-4d5a-9dc9-84c6-ed0c7b9dd3bb\",\"model\":\"qwen3.8-max\",\"object\":\"chat.completion.chunk\",\"usage\":{\"completion_tokens\":5,\"prompt_tokens\":32,\"prompt_tokens_details\":{\"cached_tokens\":0,\"text_tokens\":32},\"total_tokens\":37}}\n\ndata: [DONE]\n\n"
      }
    }
  ]
@@ -11,7 +11,7 @@
      "usage"
    ],
    "name": "alibaba-chat/qwen-3-8-max-streams-xhigh-effort",
-    "recordedAt": "2026-10-02T01:23:26.218Z"
+    "recordedAt": "2026-09-08T03:09:45.046Z"
  },
  "interactions": [
    {
@@ -22,14 +22,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"xhigh\",\"max_completion_tokens\":4096}"
+        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"xhigh\",\"max_completion_tokens\":4096}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream;charset=utf-8"
        },
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Compute:\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904202,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-f41d90aa-e292-9caa-877c-71a2b9cb68cd\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" 173\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904202,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-f41d90aa-e292-9caa-877c-71a2b9cb68cd\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"*200\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904202,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-f41d90aa-e292-9caa-877c-71a2b9cb68cd\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"=346\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904202,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-f41d90aa-e292-9caa-877c-71a2b9cb68cd\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"00; \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904202,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-f41d90aa-e292-9caa-877c-71a2b9cb68cd\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"173*\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904202,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-f41d90aa-e292-9caa-877c-71a2b9cb68cd\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"19=3\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904202,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-f41d90aa-e292-9caa-877c-71a2b9cb68cd\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"287 (\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1790904202,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-f41d90aa-e292-9caa-877c-71a2b9cb68cd\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoniLine truncated
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Reply with\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836981,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-1368c495-69aa-9ddb-8f16-35cd13a310f1\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" only the final integer\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836981,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-1368c495-69aa-9ddb-8f16-35cd13a310f1\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\".\\\" Need compute \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836981,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-1368c495-69aa-9ddb-8f16-35cd13a310f1\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"173*\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836981,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-1368c495-69aa-9ddb-8f16-35cd13a310f1\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"219.\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836981,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-1368c495-69aa-9ddb-8f16-35cd13a310f1\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" Let's calculate:\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836981,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-1368c495-69aa-9ddb-8f16-35cd13a310f1\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\" \"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836981,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-1368c495-69aa-9ddb-8f16-35cd13a310f1\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"173*\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836981,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-1368c495-69aa-9ddb-8f16-35cd13a310f1\",\"choices\":[{\"delta\":{\"content\":\"\",\"reasoning_content\":\"2\"},\"index\":0,\"finish_reason\":null,\"logprobs\":null}],\"created\":1788836981,\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"model\":\"qwen3.8-max\",\"id\":\"chatcmpl-1368c495-69aa-9ddb-8f16-35cd13a310f1\",\"choices\":[{\"delta\":{\Line truncated
      }
    }
  ]
@@ -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": {
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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. 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-      }
-    }
-  ]
-}
@@ -1,54 +0,0 @@
-{
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-      "prefix:digitalocean-chat",
-      "provider:digitalocean",
-      "protocol:digitalocean-chat",
-      "cache",
-      "tool",
-      "tool-loop"
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-    "name": "digitalocean-chat/haiku-continues-a-tool-call-with-cache-markers",
-    "recordedAt": "2026-10-01T07:36:38.471Z"
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-      }
-    },
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://inference.do-ai.run/v1/chat/completions",
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-      },
-      "response": {
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-        "body": "data: {\"choices\":[{\"delta\":{\"content\":\"Paris\",\"role\":\"assistant\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840198,\"id\":\"chatcmpl-3914ee28-f256-4a49-994f-49365922a7a6\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{\"content\":\" is sunny.\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840198,\"id\":\"chatcmpl-3914ee28-f256-4a49-994f-49365922a7a6\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{},\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null}],\"created\":1790840198,\"id\":\"chatcmpl-3914ee28-f256-4a49-994f-49365922a7a6\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[],\"created\":1790840198,\"id\":\"chatcmpl-3914ee28-f256-4a49-994f-49365922a7a6\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\",\"usage\":{\"cache_created_input_tokens\":0,\"cache_creation\":{\"ephemeral_1h_input_tokens\":0,\"ephemeral_5m_input_tokens\":0},\"cache_read_input_tokens\":0,\"completion_tokens\":7,\"completion_tokens_details\":{\"reasoning_tokens\":0},\"prompt_tokens\":668,\"prompt_tokens_details\":{\"cached_tokens\":0},\"speed\":null,\"total_tokens\":675}}\n\ndata: [DONE]\n\n"
-      }
-    }
-  ]
-}
@@ -1,53 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "model": "anthropic-claude-haiku-4.5",
-    "tags": [
-      "prefix:digitalocean-chat",
-      "provider:digitalocean",
-      "protocol:digitalocean-chat",
-      "cache",
-      "usage"
-    ],
-    "name": "digitalocean-chat/haiku-reuses-a-cached-prompt",
-    "recordedAt": "2026-10-01T07:36:36.689Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://inference.do-ai.run/v1/chat/completions",
-        "headers": {
-          "content-type": "application/json"
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-        "body": "{\"model\":\"anthropic-claude-haiku-4.5\",\"messages\":[{\"role\":\"system\",\"content\":[{\"type\":\"text\",\"text\":\"You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and aLine truncated
-      },
-      "response": {
-        "status": 200,
-        "headers": {
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-      }
-    },
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://inference.do-ai.run/v1/chat/completions",
-        "headers": {
-          "content-type": "application/json"
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-        "body": "{\"model\":\"anthropic-claude-haiku-4.5\",\"messages\":[{\"role\":\"system\",\"content\":[{\"type\":\"text\",\"text\":\"You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and aLine truncated
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
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-        "body": "data: {\"choices\":[{\"delta\":{\"content\":\"OK\",\"role\":\"assistant\"},\"finish_reason\":null,\"index\":0,\"logprobs\":null}],\"created\":1790840196,\"id\":\"chatcmpl-eee2d578-6fab-4fc1-8117-043193225bed\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[{\"delta\":{},\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null}],\"created\":1790840196,\"id\":\"chatcmpl-eee2d578-6fab-4fc1-8117-043193225bed\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\"}\n\ndata: {\"choices\":[],\"created\":1790840196,\"id\":\"chatcmpl-eee2d578-6fab-4fc1-8117-043193225bed\",\"model\":\"anthropic-claude-haiku-4.5\",\"object\":\"chat.completion.chunk\",\"usage\":{\"cache_created_input_tokens\":0,\"cache_creation\":{\"ephemeral_1h_input_tokens\":0,\"ephemeral_5m_input_tokens\":0},\"cache_read_input_tokens\":5759,\"completion_tokens\":4,\"completion_tokens_details\":{\"reasoning_tokens\":0},\"prompt_tokens\":5762,\"prompt_tokens_details\":{\"cached_tokens\":5759},\"speed\":null,\"total_tokens\":5766}}\n\ndata: [DONE]\n\n"
-      }
-    }
-  ]
-}
@@ -4,7 +4,7 @@
    "model": "anthropic/claude-sonnet-4.6",
    "tags": ["prefix:openai-compatible-chat", "provider:openrouter", "protocol:openai-chat", "reasoning"],
    "name": "openrouter-reasoning",
-    "recordedAt": "2026-09-29T16:19:02.835Z"
+    "recordedAt": "2026-07-18T11:28:39.267Z"
  },
  "interactions": [
    {
@@ -15,14 +15,14 @@
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+        "body": "{\"model\":\"anthropic/claude-sonnet-4.6\",\"messages\":[{\"role\":\"system\",\"content\":\"Think through the arithmetic, then reply with only the final integer.\"},{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219?\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"temperature\":0,\"reasoning\":{\"max_tokens\":1024},\"max_completion_tokens\":1536,\"store\":false,\"usage\":{\"include\":true}}"
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          "content-type": "text/event-stream"
        },
-        "body": "data: {\"id\":\"gen-1790698739-Acm5E9n2uVTO14sqrick\",\"object\":\"chat.completion.chunk\",\"created\":1790698739,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Claude Platform on AWS\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":\"173\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"173\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\n: OPENROUTER PROCESSING\n\ndata: {\"id\":\"gen-1790698739-Acm5E9n2uVTO14sqrick\",\"object\":\"chat.completion.chunk\",\"created\":1790698739,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Claude Platform on AWS\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":\" × 219\\n\\n173 × 200 = 34,600\\n173 × 19 = 173 × 20 - 173 = 3,460 - 173 = 3,287\\n\\n34,600 + 3,287 = 37,887\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\" × 219\\n\\n173 × 200 = 34,600\\n173 × 19 = 173 × 20 - 173 = 3,460 - 173 = 3,287\\n\\n34,600 + 3,287 = 37,887\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1790698739-Acm5E9n2uVTO14sqrick\",\"object\":\"chat.completion.chunk\",\"created\":1790698739,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Claude Platform on AWS\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"signature\":\"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.eyJlbmRwb2ludF9zbHVnIjoiYW50aHJvcGljL2NsYXVkZS00LjYtc29ubmV0LTIwMjYwMjE3fGNsYXVkZS1vbi1hd3MifQ\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1790698739-Acm5E9n2uVTO14sqrick\",\"object\":\"chat.completion.chunk\",\"created\":1790698739,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Claude Platform on AWS\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"37\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1790698739-Acm5E9n2uVTO14sqrick\",\"object\":\"chat.completion.chunk\",\"created\":1790698739,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Claude Platform on AWS\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"887\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1790698739-Acm5E9n2uVTO14sqrick\",\"object\":\"chat.completion.chunk\",\"created\":1790698739,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Claude Platform on AWS\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":null},\"finish_reason\":\"stop\",\"native_finish_reason\":\"end_turn\"}]}\n\ndata: {\"id\":\"gen-1790698739-Acm5E9n2uVTO14sqrick\",\"object\":\"chat.completion.chunk\",\"created\":1790698739,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Claude Platform on AWS\",\"service_tier\":\"default\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":\"stop\",\"native_finish_reason\":\"end_turn\"}],\"usage\":{\"prompt_tokens\":61,\"completion_tokens\":80,\"total_tokens\":141,\"cost\":0.001383,\"is_byok\":false,\"prompt_tokens_details\":{\"cached_tokens\":0,\"cache_write_tokens\":0,\"audio_tokens\":0,\"video_tokens\":0},\"cost_details\":{\"upstream_inference_cost\":0.001383,\"upstream_inference_prompt_cost\":0.000183,\"upstream_inference_completions_cost\":0.0012},\"completion_tokens_details\":{\"reasoning_tokens\":73,\"image_tokens\":0,\"audio_tokens\":0}}}\n\ndata: [DONE]\n\n"
+        "body": ": OPENROUTER PROCESSING\n\n: OPENROUTER PROCESSING\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":\"173\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"173\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\n: OPENROUTER PROCESSING\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":\" × 219\\n\\n173 × 200 = 34,600\\n173 × 19 = 173 × 20 - 173 = 3,460 - 173 = 3,287\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\" × 219\\n\\n173 × 200 = 34,600\\n173 × 19 = 173 × 20 - 173 = 3,460 - 173 = 3,287\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":\"\\n\\n34,600 + 3,287 = 37,887\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"\\n\\n34,600 + 3,287 = 37,887\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"signature\":\"EtgCCosBCA8YAipA0W4viH3kgBs43Cl5ewwVBPXTQElvzfbA2TLF4iSbKy9ZZDCSDjjAlF3Bs4ELEnP3vrrTuTioC6OB380lXQdyIDIRY2xhdWRlLXNvbm5ldC00LTY4AEIIdGhpbmtpbmdaJDRjMGYwNDZmLTI1ZmQtNDVmYi1iZmIzLWEwOGE4ZTI0OWNhNxIMMiUlJC3x/5p5PuTwGgwlc8eipZyoM94BHwMiMO45uQx/ymeOjbugi7RDVPZ4jZXSIiEbVi2CD7zPjAK5fFQoVGP1HD55v9CER823JCp6Dg5Xb7Lrk6NUd1XN2KTKrttK7mATE+IBrDTFmor/1cNeg+9gjIbxM/jn/6L5HPmh3/esEVu24Q0IGLZVoE7cTgGgxsrceKMD71Jp2XQgIWD8ltsPfWw3gSc4p+z18UuPN6LuR0mHHENTnClHrAPnOrxbDIl4ZwZgMX8YAQ==\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"37887\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":null},\"finish_reason\":\"stop\",\"native_finish_reason\":\"end_turn\"}]}\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"service_tier\":\"default\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":\"stop\",\"native_finish_reason\":\"end_turn\"}],\"usage\":{\"prompt_tokens\":61,\"completion_tokens\":80,\"total_tokens\":141,\"cost\":0.001383,\"is_byok\":false,\"prompt_tokens_details\":{\"cached_tokens\":0,\"cache_write_tokens\":0,\"audio_tokens\":0,\"video_tokens\":0},\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"cost_details\":{\"upstream_inference_cost\":0.001383,\"upstream_inference_prompt_cost\":0.000183,\"upstream_inference_completions_cost\":0.0012},\"completion_tokens_details\":{\"reasoning_tokens\":29,\"image_tokens\":0,\"audio_tokens\":0}}}\n\ndata: [DONE]\n\n"
      }
    }
  ]
@@ -1,169 +0,0 @@
-import { describe, expect } from "bun:test"
-import { Deferred, Effect, Fiber } from "effect"
-import * as TestClock from "effect/testing/TestClock"
-import { HttpOptions, LLM, mergeHttpOptions } from "../src/index.js"
-import { LLMClient } from "../src/route.js"
-import { configure } from "../src/providers/openai.js"
-import { dynamicResponse } from "./lib/http.js"
-import { deltaChunk, finishChunk } from "./lib/openai-chunks.js"
-import { sseEvents, sseRaw } from "./lib/sse.js"
-import { it } from "./lib/effect.js"
-
-const model = configure({ baseURL: "https://api.openai.test/v1/", apiKey: "test" }).chat("gpt-4.1-mini")
-const SSE = { headers: { "content-type": "text/event-stream" } }
-
-const silentServer = dynamicResponse(() => Effect.never)
-
-const slowHeadersServer = dynamicResponse((input) =>
-  Effect.sleep("10 minutes").pipe(
-    Effect.as(input.respond(sseEvents(deltaChunk({ role: "assistant", content: "Hi" }), finishChunk("stop")), SSE)),
-  ),
-)
-
-// Sends one chunk, then stalls until `resume` releases the rest of the body.
-const stalledServer = Effect.gen(function* () {
-  const stalled = yield* Deferred.make<void>()
-  let resume = () => {}
-  const released = new Promise<void>((resolve) => {
-    resume = resolve
-  })
-  const encoder = new TextEncoder()
-  const layer = dynamicResponse((input) =>
-    Effect.sync(() =>
-      input.respond(
-        new ReadableStream<Uint8Array>({
-          start(controller) {
-            controller.enqueue(encoder.encode(sseRaw(`data: ${JSON.stringify(deltaChunk({ content: "Hi" }))}`)))
-          },
-          async pull(controller) {
-            Deferred.doneUnsafe(stalled, Effect.void)
-            await released
-            controller.enqueue(encoder.encode(sseEvents(finishChunk("stop"))))
-            controller.close()
-          },
-        }),
-        SSE,
-      ),
-    ),
-  )
-  return { layer, stalled, resume: () => resume() }
-})
-
-describe("HTTP transport timeouts", () => {
-  it.effect("fails when response headers take longer than five minutes", () =>
-    Effect.gen(function* () {
-      const fiber = yield* LLMClient.generate(LLM.request({ model, prompt: "Hello" })).pipe(
-        Effect.provide(silentServer),
-        Effect.flip,
-        Effect.forkChild({ startImmediately: true }),
-      )
-      yield* TestClock.adjust("5 minutes")
-      const error = yield* Fiber.join(fiber)
-
-      expect(error.reason).toMatchObject({
-        _tag: "Transport",
-        transport: "http",
-        operation: "request",
-        code: "Timeout",
-      })
-    }),
-  )
-
-  it.effect("fails when the response body stalls for five minutes", () =>
-    Effect.gen(function* () {
-      const server = yield* stalledServer
-      const fiber = yield* LLMClient.generate(LLM.request({ model, prompt: "Hello" })).pipe(
-        Effect.provide(server.layer),
-        Effect.flip,
-        Effect.forkChild({ startImmediately: true }),
-      )
-      yield* Deferred.await(server.stalled)
-      yield* Effect.yieldNow
-      yield* TestClock.adjust("5 minutes")
-      const error = yield* Fiber.join(fiber)
-
-      expect(error.reason).toMatchObject({ _tag: "Transport", transport: "http", operation: "read", code: "Timeout" })
-      expect(error.reason.http).toMatchObject({ status: 200 })
-    }),
-  )
-
-  it.effect("applies a configured header timeout", () =>
-    Effect.gen(function* () {
-      const fiber = yield* LLMClient.generate(
-        LLM.request({ model, prompt: "Hello", http: { headerTimeout: 1_000 } }),
-      ).pipe(Effect.provide(silentServer), Effect.flip, Effect.forkChild({ startImmediately: true }))
-      yield* TestClock.adjust("1 second")
-      const error = yield* Fiber.join(fiber)
-
-      expect(error.reason).toMatchObject({ _tag: "Transport", operation: "request", code: "Timeout" })
-    }),
-  )
-
-  it.effect("disables the header timeout with false", () =>
-    Effect.gen(function* () {
-      const fiber = yield* LLMClient.generate(
-        LLM.request({ model, prompt: "Hello", http: { headerTimeout: false } }),
-      ).pipe(Effect.provide(slowHeadersServer), Effect.forkChild({ startImmediately: true }))
-      yield* TestClock.adjust("10 minutes")
-      const response = yield* Fiber.join(fiber)
-
-      expect(response.text).toBe("Hi")
-    }),
-  )
-
-  it.effect("disables the chunk timeout with false", () =>
-    Effect.gen(function* () {
-      const server = yield* stalledServer
-      const fiber = yield* LLMClient.generate(
-        LLM.request({ model, prompt: "Hello", http: { chunkTimeout: false } }),
-      ).pipe(Effect.provide(server.layer), Effect.forkChild({ startImmediately: true }))
-      yield* Deferred.await(server.stalled)
-      yield* Effect.yieldNow
-      yield* TestClock.adjust("10 minutes")
-      server.resume()
-      const response = yield* Fiber.join(fiber)
-
-      expect(response.text).toBe("Hi")
-    }),
-  )
-
-  it.effect("applies a whole-request timeout while the body is still streaming", () =>
-    Effect.gen(function* () {
-      const server = yield* stalledServer
-      const fiber = yield* LLMClient.generate(
-        LLM.request({ model, prompt: "Hello", http: { timeout: 60_000, chunkTimeout: false } }),
-      ).pipe(Effect.provide(server.layer), Effect.flip, Effect.forkChild({ startImmediately: true }))
-      yield* Deferred.await(server.stalled)
-      yield* Effect.yieldNow
-      yield* TestClock.adjust("1 minute")
-      const error = yield* Fiber.join(fiber)
-
-      expect(error.reason).toMatchObject({ _tag: "Transport", operation: "read", code: "Timeout" })
-    }),
-  )
-
-  it.effect("bounds the header wait by a shorter whole-request timeout", () =>
-    Effect.gen(function* () {
-      const fiber = yield* LLMClient.generate(
-        LLM.request({ model, prompt: "Hello", http: { timeout: 1_000, headerTimeout: false } }),
-      ).pipe(Effect.provide(silentServer), Effect.flip, Effect.forkChild({ startImmediately: true }))
-      yield* TestClock.adjust("1 second")
-      const error = yield* Fiber.join(fiber)
-
-      expect(error.reason).toMatchObject({ _tag: "Transport", operation: "request", code: "Timeout" })
-    }),
-  )
-
-  it.effect("merges timeouts with later values winning", () =>
-    Effect.sync(() => {
-      const merged = mergeHttpOptions(
-        new HttpOptions({ timeout: 5_000, headerTimeout: 1_000, chunkTimeout: 2_000 }),
-        new HttpOptions({ headers: { a: "b" } }),
-        new HttpOptions({ chunkTimeout: false }),
-      )
-
-      expect(merged).toMatchObject({ headers: { a: "b" }, timeout: 5_000, headerTimeout: 1_000, chunkTimeout: false })
-      expect(mergeHttpOptions(new HttpOptions({}), undefined)).toBeUndefined()
-    }),
-  )
-})
@@ -7,15 +7,12 @@ describe("provider error classification", () => {
    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 = {
@@ -434,56 +355,7 @@ 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", () => {
+  test("classifies Google invalid API keys as authentication failures", () => {
    const rawBody = JSON.stringify({
      error: {
        code: 400,
@@ -507,14 +379,6 @@ describe("provider error rawBody classification", () => {
      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", () => {
@@ -530,19 +394,6 @@ 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")
  })
 })

@@ -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" })
    }
@@ -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(
@@ -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" } },
-          ],
-        },
      ])
    }),
  )
@@ -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" })
    }),
  )

@@ -1,90 +0,0 @@
-import { expect } from "bun:test"
-import { Effect } from "effect"
-import { LLM, LLMEvent } from "../../src/index.js"
-import { Cohere } from "../../src/providers/cohere.js"
-import { LLMClient } from "../../src/route.js"
-import { expectWeatherToolLoop, goldenWeatherToolLoopRequest, runWeatherToolLoop } from "../recorded-scenarios.js"
-import { recordedTests } from "../recorded-test.js"
-
-const recorded = recordedTests({ prefix: "cohere", provider: "cohere", requires: ["COHERE_API_KEY"] })
-const cohere = Cohere.configure({ apiKey: process.env.COHERE_API_KEY ?? "fixture" })
-
-recorded.effect(
-  "streams native text and usage",
-  () =>
-    Effect.gen(function* () {
-      const response = yield* LLMClient.generate(
-        LLM.request({
-          model: cohere.model("command-a-03-2025"),
-          prompt: "Reply exactly: OK",
-          generation: { maxTokens: 64 },
-        }),
-      )
-      expect(response.text.trim()).toMatch(/^OK\.?$/)
-      expect(response.usage.inputTokens).toBeGreaterThan(0)
-      expect(response.usage.outputTokens).toBeGreaterThan(0)
-      expect(response.events.find(LLMEvent.is.finish)?.reason).toEqual({ normalized: "stop", raw: "COMPLETE" })
-      expect(response.usage.providerMetadata?.cohere?.billed_units).toBeDefined()
-    }),
-  60_000,
-)
-
-recorded.effect(
-  "streams native thinking with a budget",
-  () =>
-    Effect.gen(function* () {
-      const response = yield* LLMClient.generate(
-        LLM.request({
-          model: cohere.model("command-a-reasoning-08-2025"),
-          prompt: "What is 17 times 23? Answer briefly.",
-          providerOptions: { thinking: { type: "enabled", tokenBudget: 128 } },
-          generation: { maxTokens: 2048 },
-        }),
-      )
-      expect(response.reasoning.length).toBeGreaterThan(0)
-      expect(response.text).toContain("391")
-      expect(response.usage.reasoningTokens).toBeGreaterThan(0)
-      expect(response.usage.reasoningTokens).toBeLessThanOrEqual(128)
-      expect(response.events.filter(LLMEvent.is.finish)).toHaveLength(1)
-    }),
-  60_000,
-)
-
-recorded.effect(
-  "continues a native tool call",
-  () =>
-    Effect.gen(function* () {
-      const events = yield* runWeatherToolLoop(
-        goldenWeatherToolLoopRequest({
-          id: "cohere-tool-loop",
-          model: cohere.model("command-a-plus-05-2026"),
-          maxTokens: 2048,
-          temperature: false,
-        }),
-      )
-      expectWeatherToolLoop(events)
-      expect(events.some(LLMEvent.is.toolInputDelta)).toBe(true)
-    }),
-  60_000,
-)
-
-recorded.effect(
-  "streams compatible chat reasoning",
-  () =>
-    Effect.gen(function* () {
-      const response = yield* LLMClient.generate(
-        LLM.request({
-          model: cohere.chat("command-a-reasoning-08-2025"),
-          prompt: "What is 17 times 23? Answer briefly.",
-          providerOptions: { reasoningEffort: "high" },
-          generation: { maxTokens: 2048 },
-        }),
-      )
-      expect(response.reasoning.length).toBeGreaterThan(0)
-      expect(response.text).toContain("391")
-      expect(response.events.find(LLMEvent.is.finish)?.reason.normalized).toBe("stop")
-      expect(response.usage.inputTokens).toBeGreaterThan(0)
-      expect(response.usage.reasoningTokens).toBeGreaterThan(0)
-    }),
-  60_000,
-)
@@ -1,266 +0,0 @@
-import { expect, test } from "bun:test"
-import { Effect } from "effect"
-import { LLM, LLMClient, LLMEvent, Media, Message, isRetryable } from "../../src/index.js"
-import { Cohere } from "../../src/providers/cohere.js"
-import { compileRequest } from "../../src/route/client.js"
-import { it } from "../lib/effect.js"
-import { fixedResponse } from "../lib/http.js"
-import { sseEvents } from "../lib/sse.js"
-
-const cohere = Cohere.configure({ apiKey: "fixture" })
-
-test("Cohere exposes native and compatible endpoints without Core remapping", () => {
-  expect(cohere.model("command-a-03-2025").route.endpoint.baseURL).toBe("https://api.cohere.com/v2")
-  expect(cohere.chat("command-a-03-2025").route.endpoint.baseURL).toBe("https://api.cohere.ai/compatibility/v1")
-  expect(
-    Cohere.model("command-a-03-2025", { apiKey: "fixture", headers: { "X-Test": "yes" }, body: { temperature: 0 } })
-      .route.defaults?.http,
-  ).toMatchObject({ body: { temperature: 0 } })
-})
-
-it.effect("Cohere lowers native history, thinking, tools, and sampling", () =>
-  Effect.gen(function* () {
-    const prepared = yield* compileRequest(
-      LLM.request({
-        model: cohere.model("command-a-reasoning-08-2025"),
-        system: "Be concise.",
-        messages: [
-          Message.user("Lookup Paris"),
-          Message.assistant([{ type: "tool-call", id: "lookup-1", name: "lookup", input: { city: "Paris" } }]),
-          Message.tool({ id: "lookup-1", name: "lookup", result: { sunny: true } }),
-        ],
-        tools: [{ name: "lookup", description: "Look up a city", inputSchema: { type: "object", properties: {} } }],
-        toolChoice: "required",
-        providerOptions: { thinking: { tokenBudget: 128 } },
-        generation: { maxTokens: 2048, topP: 0.9, topK: 10 },
-      }),
-    )
-    expect(prepared.body).toMatchObject({
-      model: "command-a-reasoning-08-2025",
-      stream: true,
-      p: 0.9,
-      k: 10,
-      max_tokens: 2048,
-      thinking: { type: "enabled", token_budget: 128 },
-      tool_choice: "REQUIRED",
-      messages: [
-        { role: "system", content: "Be concise." },
-        { role: "user", content: [{ type: "text", text: "Lookup Paris" }] },
-        {
-          role: "assistant",
-          tool_calls: [{ id: "lookup-1", function: { name: "lookup", arguments: '{"city":"Paris"}' } }],
-        },
-        { role: "tool", tool_call_id: "lookup-1", content: '{"sunny":true}' },
-      ],
-    })
-  }),
-)
-
-it.effect("Cohere compatibility omits unsupported OpenAI fields", () =>
-  Effect.gen(function* () {
-    const prepared = yield* compileRequest(
-      LLM.request({
-        model: cohere.chat("command-a-reasoning-08-2025"),
-        prompt: "Hello",
-        providerOptions: { reasoningEffort: "high" },
-        generation: { maxTokens: 64 },
-      }),
-    )
-    expect(prepared.body).toMatchObject({ reasoning_effort: "high", max_tokens: 64, stream: true })
-    expect(prepared.body.stream_options).toEqual({ include_usage: true })
-    for (const key of ["store", "max_completion_tokens", "parallel_tool_calls", "prompt_cache_key"])
-      expect(prepared.body[key]).toBeUndefined()
-  }),
-)
-
-it.effect("Cohere maps inclusive usage while retaining distinct billed units", () =>
-  Effect.gen(function* () {
-    const response = yield* LLMClient.generate(
-      LLM.request({ model: cohere.model("command-a-03-2025"), prompt: "Hi" }),
-    ).pipe(
-      Effect.provide(
-        fixedResponse(
-          sseEvents(
-            { type: "message-start" },
-            { type: "content-start", index: 0, delta: { message: { content: { type: "thinking", thinking: "" } } } },
-            { type: "content-delta", index: 0, delta: { message: { content: { thinking: "Think" } } } },
-            { type: "content-end", index: 0 },
-            { type: "content-start", index: 1, delta: { message: { content: { type: "text", text: "" } } } },
-            { type: "content-delta", index: 1, delta: { message: { content: { text: "OK" } } } },
-            { type: "content-end", index: 1 },
-            {
-              type: "message-end",
-              delta: {
-                finish_reason: "COMPLETE",
-                usage: {
-                  tokens: { input_tokens: 100, output_tokens: 20, reasoning_tokens: 10 },
-                  billed_units: { input_tokens: 30, output_tokens: 15 },
-                  cached_tokens: 60,
-                },
-              },
-            },
-          ),
-        ),
-      ),
-    )
-    expect(response.text).toBe("OK")
-    expect(response.reasoning).toBe("Think")
-    expect(response.usage).toMatchObject({
-      inputTokens: 100,
-      nonCachedInputTokens: 40,
-      cacheReadInputTokens: 60,
-      outputTokens: 20,
-      reasoningTokens: 10,
-      totalTokens: 120,
-      providerMetadata: { cohere: { billed_units: { input_tokens: 30, output_tokens: 15 } } },
-    })
-    expect(response.events.filter(LLMEvent.is.finish)).toHaveLength(1)
-  }),
-)
-
-it.effect("Cohere rejects incomplete streams", () =>
-  Effect.gen(function* () {
-    const error = yield* LLMClient.generate(
-      LLM.request({ model: cohere.model("command-a-03-2025"), prompt: "Hi" }),
-    ).pipe(Effect.provide(fixedResponse(sseEvents({ type: "message-start" }))), Effect.flip)
-    expect(error.message).toContain("without message-end")
-  }),
-)
-
-it.effect("Cohere preserves native tool plans in continued history", () =>
-  Effect.gen(function* () {
-    const response = yield* LLMClient.generate(
-      LLM.request({ model: cohere.model("command-a-03-2025"), prompt: "Hi" }),
-    ).pipe(
-      Effect.provide(
-        fixedResponse(
-          sseEvents(
-            { type: "message-start" },
-            { type: "tool-plan-delta", delta: { message: { tool_plan: "Look up the weather." } } },
-            {
-              type: "tool-call-start",
-              index: 0,
-              delta: { message: { tool_calls: { id: "lookup-1", function: { name: "lookup", arguments: "" } } } },
-            },
-            {
-              type: "tool-call-delta",
-              index: 0,
-              delta: { message: { tool_calls: { function: { arguments: '{"city":"Paris"}' } } } },
-            },
-            { type: "tool-call-end", index: 0 },
-            { type: "message-end", delta: { finish_reason: "TOOL_CALL" } },
-          ),
-        ),
-      ),
-    )
-    expect(response.toolCalls[0]?.input).toEqual({ city: "Paris" })
-    const prepared = yield* compileRequest(
-      LLM.request({
-        model: cohere.model("command-a-03-2025"),
-        messages: [response.message, Message.tool({ id: "lookup-1", name: "lookup", result: { sunny: true } })],
-      }),
-    )
-    expect(prepared.body.messages).toMatchObject([
-      { role: "assistant", tool_plan: "Look up the weather.", tool_calls: [{ id: "lookup-1" }] },
-      { role: "tool", tool_call_id: "lookup-1" },
-    ])
-  }),
-)
-
-it.effect("Cohere rejects unsupported media instead of silently dropping it", () =>
-  Effect.gen(function* () {
-    const error = yield* compileRequest(
-      LLM.request({
-        model: cohere.model("command-a-03-2025"),
-        messages: [Message.user([{ type: "media", media: Media.base64("Zm9v", "audio/wav") }])],
-      }),
-    ).pipe(Effect.flip)
-    expect(error.reason._tag).toBe("InvalidRequest")
-  }),
-)
-
-it.effect("Cohere thinking budgets must be positive integers", () =>
-  Effect.gen(function* () {
-    const error = yield* compileRequest(
-      LLM.request({
-        model: cohere.model("command-a-reasoning-08-2025"),
-        providerOptions: { thinking: { tokenBudget: 0 } },
-      }),
-    ).pipe(Effect.flip)
-    expect(error.reason._tag).toBe("InvalidRequest")
-  }),
-)
-
-it.effect("Cohere fits thinking budgets under the output limit", () =>
-  Effect.gen(function* () {
-    const prepared = yield* compileRequest(
-      LLM.request({
-        model: cohere.model("command-a-reasoning-08-2025"),
-        prompt: "Hi",
-        providerOptions: { thinking: { tokenBudget: 31_999 } },
-        generation: { maxTokens: 4096 },
-      }),
-    )
-    expect(prepared.body.thinking).toEqual({ type: "enabled", token_budget: 2048 })
-  }),
-)
-
-// Bodies captured live on 2026-10-02, except 402 and 429, which are Cohere's documented messages.
-const errors = [
-  { status: 401, message: "Incorrect API key provided: ***-123.", tag: "Authentication", retry: false },
-  { status: 404, message: "model 'no-such-model-xyz' not found", tag: "InvalidRequest", retry: false },
-  {
-    status: 400,
-    message: "invalid request: temperature must be between 0 and 2.0 inclusive.",
-    tag: "InvalidRequest",
-    retry: false,
-  },
-  {
-    status: 400,
-    error_type: "TOO_MANY_TOKENS",
-    message: "too many tokens: size limit exceeded by 168512 tokens. The limit for this model is 132000 tokens.",
-    tag: "InvalidRequest",
-    classification: "context-overflow",
-    retry: false,
-  },
-  {
-    status: 400,
-    error_type: "TOO_MANY_TOKENS",
-    message:
-      "too many tokens: max tokens must be less than or equal to 4096, the maximum output length for this model - received 1000000.",
-    tag: "InvalidRequest",
-    retry: false,
-  },
-  { status: 402, message: "Please add or update your payment method to continue", tag: "QuotaExceeded", retry: false },
-  {
-    status: 429,
-    message: "You are using a Trial key, which is limited to 40 API calls / minute.",
-    tag: "RateLimit",
-    retry: true,
-  },
-  { status: 500, message: "internal server error", tag: "ProviderInternal", retry: true },
-]
-
-it.effect("Cohere HTTP errors map to AI error reasons", () =>
-  Effect.forEach(errors, (item) =>
-    Effect.gen(function* () {
-      const error = yield* LLMClient.generate(
-        LLM.request({ model: cohere.model("command-a-03-2025"), prompt: "Hi" }),
-      ).pipe(
-        Effect.provide(
-          fixedResponse(JSON.stringify({ id: "fixture", error_type: item.error_type, message: item.message }), {
-            status: item.status,
-            headers: { "content-type": "application/json" },
-          }),
-        ),
-        Effect.flip,
-      )
-      expect({
-        message: error.message,
-        tag: error.reason._tag,
-        classification: error.reason._tag === "InvalidRequest" ? error.reason.classification : undefined,
-        retry: isRetryable(error),
-      }).toEqual({ message: item.message, tag: item.tag, classification: item.classification, retry: item.retry })
-    }),
-  ),
-)
@@ -1,78 +0,0 @@
-import { describe, expect } from "bun:test"
-import { Effect } from "effect"
-import { LLM, LLMRequest } from "../../src/index.js"
-import { DigitalOcean } from "../../src/providers/digitalocean.js"
-import { LLMClient } from "../../src/route.js"
-import {
-  LARGE_CACHEABLE_SYSTEM,
-  expectWeatherToolLoop,
-  goldenWeatherToolLoopRequest,
-  runWeatherToolLoop,
-} from "../recorded-scenarios.js"
-import { recordedTests } from "../recorded-test.js"
-
-const recorded = recordedTests({
-  prefix: "digitalocean-chat",
-  provider: "digitalocean",
-  protocol: "digitalocean-chat",
-  requires: ["DIGITAL_OCEAN_OFFICIAL_API_KEY"],
-})
-
-for (const item of [
-  { id: "anthropic-claude-haiku-4.5", name: "Haiku", maxTokens: 128, providerOptions: undefined },
-  { id: "openai-gpt-5-nano", name: "GPT Nano", maxTokens: 1024, providerOptions: { reasoningEffort: "minimal" } },
-] as const) {
-  const model = DigitalOcean.configure({
-    apiKey: process.env.DIGITAL_OCEAN_OFFICIAL_API_KEY ?? "fixture",
-    providerOptions: item.providerOptions,
-  }).model(item.id)
-
-  describe(`DigitalOcean ${item.name} recorded`, () => {
-    recorded.effect.with(
-      `${item.name} reuses a cached prompt`,
-      { tags: ["cache", "usage"], metadata: { model: item.id } },
-      () =>
-        Effect.gen(function* () {
-          const request = LLM.request({
-            model,
-            system: LARGE_CACHEABLE_SYSTEM,
-            prompt: "Reply exactly: OK",
-            promptCacheKey: `digitalocean-recorded-${item.id}`,
-            generation: { maxTokens: item.maxTokens },
-          })
-          const first = yield* LLMClient.generate(request)
-          const second = yield* LLMClient.generate(request)
-
-          expect(first.text.trim()).toMatch(/^OK\.?$/)
-          expect(second.text.trim()).toMatch(/^OK\.?$/)
-          expect(second.usage.cacheReadInputTokens).toBeGreaterThan(0)
-          for (const response of [first, second]) {
-            expect(response.usage.inputTokens).toBeGreaterThan(4096)
-            expect(response.usage.inputTokens).toBe(
-              (response.usage.nonCachedInputTokens ?? 0) +
-                (response.usage.cacheReadInputTokens ?? 0) +
-                (response.usage.cacheWriteInputTokens ?? 0),
-            )
-          }
-        }),
-      60_000,
-    )
-
-    recorded.effect.with(
-      `${item.name} continues a tool call with cache markers`,
-      { tags: ["cache", "tool", "tool-loop"], metadata: { model: item.id } },
-      () =>
-        Effect.gen(function* () {
-          const request = goldenWeatherToolLoopRequest({
-            id: `digitalocean-${item.id}-tool-loop`,
-            model,
-            maxTokens: item.maxTokens,
-            temperature: false,
-          })
-          const events = yield* runWeatherToolLoop(LLMRequest.update(request, { cache: "auto" }))
-          expectWeatherToolLoop(events)
-        }),
-      60_000,
-    )
-  })
-}
@@ -1,123 +0,0 @@
-import { describe, expect, test } from "bun:test"
-import { Effect } from "effect"
-import { CacheHint, LLM } from "../../src/index.js"
-import { compileRequest } from "../../src/route/client.js"
-import { DigitalOcean } from "../../src/providers/digitalocean.js"
-import { it } from "../lib/effect.js"
-import { fixedResponse } from "../lib/http.js"
-import { sseEvents } from "../lib/sse.js"
-import { LLMClient } from "../../src/route.js"
-
-describe("DigitalOcean", () => {
-  test("preserves package entrypoint headers and body overrides", () => {
-    const model = DigitalOcean.model("anthropic-claude-fable-5.1", {
-      apiKey: "test-key",
-      headers: { "X-Test": "fixture" },
-      body: { temperature: 0 },
-    })
-    expect(model.route.defaults?.http).toMatchObject({
-      headers: { "X-Test": "fixture" },
-      body: { temperature: 0 },
-    })
-  })
-
-  it.effect("prepares DigitalOcean models with default endpoint and auth", () =>
-    Effect.gen(function* () {
-      const model = DigitalOcean.configure({ apiKey: "test-key" }).model("anthropic-claude-fable-5.1")
-
-      expect(model).toMatchObject({
-        id: "anthropic-claude-fable-5.1",
-        provider: "digitalocean",
-        route: { id: "digitalocean" },
-      })
-      expect(model.route.endpoint.baseURL).toBe("https://inference.do-ai.run/v1")
-
-      const prepared = yield* compileRequest(LLM.request({ model, prompt: "Say hello.", cache: "none" }))
-
-      expect(prepared.route).toBe("digitalocean")
-      expect(prepared.body).toMatchObject({
-        model: "anthropic-claude-fable-5.1",
-        messages: [{ role: "user", content: "Say hello." }],
-        stream: true,
-      })
-    }),
-  )
-
-  it.effect("lowers the native cache policy to DigitalOcean cache_control markers", () =>
-    Effect.gen(function* () {
-      const prepared = yield* compileRequest(
-        LLM.request({
-          model: DigitalOcean.configure({ apiKey: "test-key" }).model("anthropic-claude-fable-5.1"),
-          system: [
-            { type: "text", text: "Base agent", cache: new CacheHint({ type: "ephemeral", ttlSeconds: 3_600 }) },
-            { type: "text", text: "Project instructions" },
-          ],
-          tools: [{ name: "lookup", description: "Lookup", inputSchema: { type: "object", properties: {} } }],
-          prompt: "Hello",
-          cache: { tools: true, system: true, messages: { tail: 1 } },
-        }),
-      )
-
-      expect(prepared.body).toMatchObject({
-        tools: [{ cache_control: { type: "ephemeral" } }],
-        messages: [
-          {
-            role: "system",
-            content: [
-              { text: "Base agent", cache_control: { type: "ephemeral", ttl: "1h" } },
-              { text: "Project instructions", cache_control: { type: "ephemeral" } },
-            ],
-          },
-          {
-            role: "user",
-            content: [{ text: "Hello", cache_control: { type: "ephemeral" } }],
-          },
-        ],
-      })
-    }),
-  )
-
-  it.effect("parses DigitalOcean cache usage fields into AI.Usage", () =>
-    Effect.gen(function* () {
-      const model = DigitalOcean.configure({ apiKey: "test-key" }).model("anthropic-claude-fable-5.1")
-      const response = yield* LLMClient.generate(LLM.request({ model, prompt: "Say OK" })).pipe(
-        Effect.provide(
-          fixedResponse(
-            sseEvents(
-              {
-                id: "chatcmpl-1",
-                object: "chat.completion.chunk",
-                created: 1,
-                model: "anthropic-claude-fable-5.1",
-                choices: [{ index: 0, delta: { content: "OK" }, finish_reason: null }],
-              },
-              {
-                id: "chatcmpl-1",
-                object: "chat.completion.chunk",
-                created: 1,
-                model: "anthropic-claude-fable-5.1",
-                choices: [{ index: 0, delta: {}, finish_reason: "stop" }],
-                usage: {
-                  prompt_tokens: 4491,
-                  completion_tokens: 8,
-                  total_tokens: 4499,
-                  cache_read_input_tokens: 4483,
-                  cache_created_input_tokens: 0,
-                },
-              },
-              "[DONE]",
-            ),
-          ),
-        ),
-      )
-
-      expect(response.usage).toMatchObject({
-        inputTokens: 4491,
-        outputTokens: 8,
-        nonCachedInputTokens: 8,
-        cacheReadInputTokens: 4483,
-        totalTokens: 4499,
-      })
-    }),
-  )
-})
@@ -1285,23 +1285,25 @@ describe("Gemini route", () => {
        }),
      )

-      expect(prepared.body.contents[0]).toEqual({
-        role: "model",
-        parts: [
-          {
-            functionCall: { id: "tool_0", name: "lookup", args: { query: "weather" } },
-            thoughtSignature: "parallel_signature",
-          },
-          {
-            functionCall: { id: "tool_1", name: "lookup", args: { query: "news" } },
-            thoughtSignature: undefined,
-          },
-          {
-            functionCall: { id: "tool_2", name: "lookup", args: { query: "sports" } },
-            thoughtSignature: undefined,
-          },
-        ],
-      })
+      expect(prepared.body.contents).toEqual([
+        {
+          role: "model",
+          parts: [
+            {
+              functionCall: { id: "tool_0", name: "lookup", args: { query: "weather" } },
+              thoughtSignature: "parallel_signature",
+            },
+            {
+              functionCall: { id: "tool_1", name: "lookup", args: { query: "news" } },
+              thoughtSignature: undefined,
+            },
+            {
+              functionCall: { id: "tool_2", name: "lookup", args: { query: "sports" } },
+              thoughtSignature: undefined,
+            },
+          ],
+        },
+      ])
    }),
  )

@@ -1319,19 +1321,21 @@ describe("Gemini route", () => {
        }),
      )

-      expect(prepared.body.contents[0]).toEqual({
-        role: "model",
-        parts: [
-          {
-            functionCall: { id: "tool_0", name: "lookup", args: { query: "weather" } },
-            thoughtSignature: "skip_thought_signature_validator",
-          },
-          {
-            functionCall: { id: "tool_1", name: "lookup", args: { query: "news" } },
-            thoughtSignature: "skip_thought_signature_validator",
-          },
-        ],
-      })
+      expect(prepared.body.contents).toEqual([
+        {
+          role: "model",
+          parts: [
+            {
+              functionCall: { id: "tool_0", name: "lookup", args: { query: "weather" } },
+              thoughtSignature: "skip_thought_signature_validator",
+            },
+            {
+              functionCall: { id: "tool_1", name: "lookup", args: { query: "news" } },
+              thoughtSignature: "skip_thought_signature_validator",
+            },
+          ],
+        },
+      ])
    }),
  )

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

 const cloudflareOptions = {
  redact: { url: redactCloudflareURL },
@@ -179,25 +177,6 @@ describeRecordedGoldenScenarios([
    options: cloudflareOptions,
    scenarios: [{ id: "tool-call", maxTokens: 120 }],
  },
-  {
-    name: "Cloudflare AI Gateway Claude Haiku 4.5",
-    prefix: "cloudflare-ai-gateway",
-    model: cloudflareAIGatewayClaude,
-    requires: ["CLOUDFLARE_ACCOUNT_ID", "CLOUDFLARE_API_TOKEN"],
-    options: { redact: { url: redactCloudflareURL, allowRequestHeaders: ["anthropic-version"] } },
-    scenarios: ["text", "tool-loop"],
-  },
-  {
-    name: "Cloudflare AI Gateway OpenAI GPT-5 Nano",
-    prefix: "cloudflare-ai-gateway",
-    model: cloudflareAIGatewayOpenAI,
-    requires: ["CLOUDFLARE_ACCOUNT_ID", "CLOUDFLARE_API_TOKEN"],
-    options: cloudflareOptions,
-    scenarios: [
-      { id: "text", temperature: false, maxTokens: 2000 },
-      { id: "tool-loop", temperature: false, maxTokens: 2000, timeout: 30_000 },
-    ],
-  },
  {
    name: "Cloudflare Workers AI Llama 3.1 8B",
    prefix: "cloudflare-workers-ai",
@@ -302,7 +302,6 @@ describe("Google Vertex providers", () => {

      expect(model.provider).toBe("google-vertex")
      expect(response.text).toBe("Hello.")
-      expect(response.usage?.providerMetadata).toHaveProperty("vertex")
    }),
  )

@@ -171,7 +171,6 @@ describe("Groq recorded", () => {
        expect(response.text).not.toContain("<think>")
        expect(response.reasoning.length).toBeGreaterThan(0)
        expect(response.events.some(LLMEvent.is.reasoningDelta)).toBe(true)
-        expect(response.usage?.providerMetadata).toHaveProperty("groq")
        expectUsage(response)
      }),
    60_000,
@@ -215,11 +215,13 @@ describe("Mistral Chat", () => {
          ],
        }),
      )
-      expect(prepared.body.messages[0]).toEqual({
-        role: "assistant",
-        content: "",
-        tool_calls: [{ id: "Ab12Cd34E", type: "function", function: { name: "lookup", arguments: "{}" } }],
-      })
+      expect(prepared.body.messages).toEqual([
+        {
+          role: "assistant",
+          content: "",
+          tool_calls: [{ id: "Ab12Cd34E", type: "function", function: { name: "lookup", arguments: "{}" } }],
+        },
+      ])
    }),
  )

@@ -301,8 +303,7 @@ describe("Mistral Chat", () => {
          fixedResponse(
            sseEvents(
              chunk({ content: [{ type: "thinking", thinking: [], marker: "empty" }] }),
-              chunk({ content: [{ type: "thinking", thinking: [{ type: "text", text: "Con" }] }] }),
-              chunk({ content: [{ type: "thinking", thinking: [{ type: "text", text: "sider" }], closed: true }] }),
+              chunk({ content: [{ type: "thinking", thinking: [{ type: "text", text: "Consider" }] }] }),
              chunk({ content: [{ type: "text", text: "Answer" }] }),
              chunk({}, "stop"),
            ),
@@ -312,13 +313,6 @@ describe("Mistral Chat", () => {

      expect(response.reasoning).toBe("Consider")
      expect(response.text).toBe("Answer")
-      expect(response.events.find(LLMEvent.is.reasoningStart)?.providerMetadata).toBeUndefined()
-      expect(
-        response.events.filter(LLMEvent.is.reasoningDelta).map((event) => [event.text, event.providerMetadata]),
-      ).toEqual([
-        ["Con", undefined],
-        ["sider", undefined],
-      ])
      expect(response.message.content).toEqual([
        {
          type: "reasoning",
@@ -327,12 +321,8 @@ describe("Mistral Chat", () => {
            mistral: {
              thinking: {
                type: "thinking",
-                thinking: [
-                  { type: "text", text: "Con" },
-                  { type: "text", text: "sider" },
-                ],
+                thinking: [{ type: "text", text: "Consider" }],
                marker: "empty",
-                closed: true,
              },
            },
          },
@@ -347,12 +337,8 @@ describe("Mistral Chat", () => {
          content: [
            {
              type: "thinking",
-              thinking: [
-                { type: "text", text: "Con" },
-                { type: "text", text: "sider" },
-              ],
+              thinking: [{ type: "text", text: "Consider" }],
              marker: "empty",
-              closed: true,
            },
            { type: "text", text: "Answer" },
          ],
@@ -371,8 +357,6 @@ describe("Mistral Chat", () => {
          ),
        ),
      )
-      expect(response.events.find(LLMEvent.is.reasoningStart)?.providerMetadata).toBeUndefined()
-      expect(response.events.filter(LLMEvent.is.reasoningDelta)).toEqual([])
      expect(response.message.content).toEqual([
        {
          type: "reasoning",
@@ -48,7 +48,7 @@ describe("native OpenAI-compatible providers", () => {
      [GoogleVertex.configure(vertex).model("model"), "vertex"],
      [GoogleVertexChat.configure(vertex).model("model"), "vertex"],
      [GoogleVertexResponses.configure(vertex).model("model"), "vertex"],
-      [GoogleVertexMessages.configure(vertex).model("model"), "vertex"],
+      [GoogleVertexMessages.configure(vertex).model("model"), "anthropic"],
      [Anthropic.configure({ apiKey: "test" }).model("model"), "anthropic"],
      [
        AnthropicCompatible.configure({ baseURL: "https://example.test/v1", provider: "minimax" }).model("model"),
@@ -64,7 +64,6 @@ describe("native OpenAI-compatible providers", () => {
      [DeepSeek.configure({ apiKey: "test" }).model("model"), "deepseek"],
      [Fireworks.configure({ apiKey: "test" }).model("model"), "fireworks"],
      [DeepInfra.configure({ apiKey: "test" }).model("model"), "deepinfra"],
-      [Groq.configure({ apiKey: "test" }).model("model"), "groq"],
      [TogetherAI.configure({ apiKey: "test" }).model("model"), "togetherai"],
      [CloudflareAIGateway.configure({ accountId: "account" }).model("model"), "cloudflare-ai-gateway"],
      [CloudflareWorkersAI.configure({ accountId: "account" }).model("model"), "cloudflare-workers-ai"],
@@ -89,14 +89,7 @@ for (const item of cases) {

          const replay = yield* compileRequest(LLM.request({ model: item.model, messages: [response.message] }))
          expect(replay.body.messages).toMatchObject([
-            {
-              role: "assistant",
-              content:
-                item.model.route.id === "openrouter"
-                  ? [{ type: "text", text: response.text, cache_control: { type: "ephemeral" } }]
-                  : response.text,
-              reasoning: response.reasoning,
-            },
+            { role: "assistant", content: response.text, reasoning: response.reasoning },
          ])
          const replayDetails =
            replay.body.messages[0]?.role === "assistant" ? replay.body.messages[0].reasoning_details : undefined
@@ -1257,19 +1257,21 @@ describe("OpenAI Chat route", () => {
      })

      const replay = yield* compileRequest(LLM.request({ model, messages: [response.message] }))
-      expect(replay.body.messages[0]).toEqual({
-        role: "assistant",
-        content: null,
-        reasoning: "thinking",
-        reasoning_details: details,
-        tool_calls: [
-          {
-            id: "call_1",
-            type: "function",
-            function: { name: "lookup", arguments: '{"query":"weather"}' },
-          },
-        ],
-      })
+      expect(replay.body.messages).toEqual([
+        {
+          role: "assistant",
+          content: null,
+          reasoning: "thinking",
+          reasoning_details: details,
+          tool_calls: [
+            {
+              id: "call_1",
+              type: "function",
+              function: { name: "lookup", arguments: '{"query":"weather"}' },
+            },
+          ],
+        },
+      ])
    }),
  )

@@ -1372,16 +1374,18 @@ describe("OpenAI Chat route", () => {
      })

      const replay = yield* compileRequest(LLM.request({ model, messages: [response.message] }))
-      expect(replay.body.messages[0]).toEqual({
-        role: "assistant",
-        content: null,
-        tool_calls: [{ id: "call_1", type: "function", function: { name: "get_time", arguments: "{}" } }],
-        reasoning_content: "Let me think",
-        reasoning_details: [
-          { type: "summary", summary: "Plan tools" },
-          { type: "encrypted", encrypted: "opaque" },
-        ],
-      })
+      expect(replay.body.messages).toEqual([
+        {
+          role: "assistant",
+          content: null,
+          tool_calls: [{ id: "call_1", type: "function", function: { name: "get_time", arguments: "{}" } }],
+          reasoning_content: "Let me think",
+          reasoning_details: [
+            { type: "summary", summary: "Plan tools" },
+            { type: "encrypted", encrypted: "opaque" },
+          ],
+        },
+      ])
    }),
  )

@@ -2205,7 +2209,7 @@ describe("OpenAI Chat route", () => {
      )

      expect((yield* Ref.get(events)).some((event) => event.type === "text-delta")).toBeTrue()
-      expect(error.message).toBe("Connection lost while reading the response: ECONNRESET: socket closed unexpectedly")
+      expect(error.message).toBe("ECONNRESET: socket closed unexpectedly")
      expect(error.reason).toMatchObject({
        _tag: "Transport",
        transport: "http",
@@ -2223,7 +2227,7 @@ describe("OpenAI Chat route", () => {
        Effect.flip,
      )

-      expect(error.message).toBe("Connection lost while reading the response: ECONNRESET: socket closed before output")
+      expect(error.message).toBe("ECONNRESET: socket closed before output")
      expect(error.reason).toMatchObject({
        _tag: "Transport",
        transport: "http",
@@ -3804,8 +3804,6 @@ describe("OpenAI Responses route", () => {
          name: "lookup",
          arguments: '{"query":"news"}',
        },
-        { type: "function_call_output", call_id: "call_1", output: "Tool result missing" },
-        { type: "function_call_output", call_id: "call_2", output: "Tool result missing" },
      ])
    }),
  )
@@ -4100,13 +4098,15 @@ describe("OpenAI Responses route", () => {
      ])

      const prepared = yield* compileRequest(LLM.request({ model, messages: [response.message] }))
-      expect(prepared.body.input[0]).toEqual({
-        type: "function_call",
-        id: "fc_item_1",
-        call_id: "call_1",
-        name: "lookup",
-        arguments: '{"query":"weather"}',
-      })
+      expect(prepared.body.input).toEqual([
+        {
+          type: "function_call",
+          id: "fc_item_1",
+          call_id: "call_1",
+          name: "lookup",
+          arguments: '{"query":"weather"}',
+        },
+      ])
    }),
  )

@@ -4996,42 +4996,6 @@ describe("OpenAI Responses route", () => {
    }),
  )

-  it.effect("retains the token-sharing HTTP 429 body for retry hooks", () =>
-    Effect.gen(function* () {
-      const body = JSON.stringify({
-        error: { code: "subscription_sharing_usage_limit_exceeded", message: "Rate limit exceeded" },
-      })
-      const error = yield* LLMClient.generate(request).pipe(
-        Effect.provide(fixedResponse(body, { status: 429, headers: { "content-type": "application/json" } })),
-        Effect.flip,
-      )
-
-      expect(error).toMatchObject({ reason: { _tag: "RateLimit", http: { status: 429 }, body } })
-    }),
-  )
-
-  it.effect("retains the token-sharing response.failed event for retry hooks", () =>
-    Effect.gen(function* () {
-      const error = yield* LLMClient.generate(request).pipe(
-        Effect.provide(
-          fixedResponse(
-            sseEvents({
-              type: "response.failed",
-              response: {
-                id: "resp_usage_limit",
-                error: { code: "subscription_sharing_usage_limit_exceeded", message: "Rate limit exceeded" },
-              },
-            }),
-          ),
-        ),
-        Effect.flip,
-      )
-
-      expect(error).toMatchObject({ reason: { _tag: "RateLimit" } })
-      expect(error.reason.body).toContain("subscription_sharing_usage_limit_exceeded")
-    }),
-  )
-
  it.effect("surfaces response.failed code when no nested message is present", () =>
    Effect.gen(function* () {
      const error = yield* LLMClient.generate(request).pipe(
@@ -32,125 +32,6 @@ describe("OpenRouter", () => {
    }),
  )

-  it.effect("places default cache breakpoints on tools, system boundaries, and the conversation tail", () =>
-    Effect.gen(function* () {
-      const prepared = yield* compileRequest(
-        LLM.request({
-          model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
-          system: [
-            { type: "text", text: "Base agent" },
-            { type: "text", text: "Model details" },
-            { type: "text", text: "Project instructions" },
-          ],
-          tools: [
-            { name: "read", description: "Read", inputSchema: { type: "object", properties: {} } },
-            { name: "lookup", description: "Lookup", inputSchema: { type: "object", properties: {} } },
-          ],
-          prompt: "Hello",
-        }),
-      )
-
-      expect(prepared.body.tools?.map((tool) => tool.cache_control)).toEqual([undefined, { type: "ephemeral" }])
-      expect(prepared.body.messages).toMatchObject([
-        {
-          role: "system",
-          content: [
-            { text: "Base agent", cache_control: { type: "ephemeral" } },
-            { text: "Model details" },
-            { text: "Project instructions", cache_control: { type: "ephemeral" } },
-          ],
-        },
-        { role: "user", content: [{ text: "Hello", cache_control: { type: "ephemeral" } }] },
-      ])
-      expect(prepared.body.messages[0]?.content).not.toContainEqual(
-        expect.objectContaining({ text: "Model details", cache_control: expect.anything() }),
-      )
-    }),
-  )
-
-  it.effect("places default cache breakpoints on OpenRouter latest-model aliases", () =>
-    Effect.gen(function* () {
-      const prepared = yield* compileRequest(
-        LLM.request({
-          model: OpenRouter.configure({ apiKey: "test-key" }).model("~anthropic/claude-sonnet-latest"),
-          system: "Base agent",
-          tools: [{ name: "lookup", description: "Lookup", inputSchema: { type: "object", properties: {} } }],
-          prompt: "Hello",
-        }),
-      )
-
-      expect(prepared.body.tools?.[0]?.cache_control).toEqual({ type: "ephemeral" })
-      expect(prepared.body.messages).toMatchObject([
-        { role: "system", content: [{ text: "Base agent", cache_control: { type: "ephemeral" } }] },
-        { role: "user", content: [{ text: "Hello", cache_control: { type: "ephemeral" } }] },
-      ])
-    }),
-  )
-
-  it.effect("skips the tool breakpoint for Qwen, which caches tools with the system prompt", () =>
-    Effect.gen(function* () {
-      const prepared = yield* compileRequest(
-        LLM.request({
-          model: OpenRouter.configure({ apiKey: "test-key" }).model("qwen/qwen3-coder-plus"),
-          system: "Base agent",
-          tools: [{ name: "lookup", description: "Lookup", inputSchema: { type: "object", properties: {} } }],
-          prompt: "Hello",
-        }),
-      )
-
-      expect(prepared.body.tools?.[0]?.cache_control).toBeUndefined()
-      expect(prepared.body.messages).toMatchObject([
-        { role: "system", content: [{ text: "Base agent", cache_control: { type: "ephemeral" } }] },
-        { role: "user", content: [{ text: "Hello", cache_control: { type: "ephemeral" } }] },
-      ])
-    }),
-  )
-
-  it.effect("places the default Qwen conversation-tail breakpoint inside tool-result text", () =>
-    Effect.gen(function* () {
-      const prepared = yield* compileRequest(
-        LLM.request({
-          model: OpenRouter.configure({ apiKey: "test-key" }).model("qwen/qwen3-coder-plus"),
-          messages: [
-            Message.user("Call the tool"),
-            Message.assistant([{ type: "tool-call", id: "call_1", name: "lookup", input: {} }]),
-            Message.tool({ id: "call_1", name: "lookup", result: "Done" }),
-          ],
-        }),
-      )
-
-      expect(prepared.body.messages.at(-1)).toMatchObject({
-        role: "tool",
-        tool_call_id: "call_1",
-        content: [{ type: "text", text: '"Done"', cache_control: { type: "ephemeral" } }],
-      })
-    }),
-  )
-
-  it.effect("sends no default breakpoints to upstreams that cache without them", () =>
-    Effect.gen(function* () {
-      const openrouter = OpenRouter.configure({ apiKey: "test-key" })
-      const bodies = yield* Effect.forEach(["google/gemini-2.5-flash", "openai/gpt-5-mini"], (id) =>
-        compileRequest(
-          LLM.request({
-            model: openrouter.model(id),
-            system: "Base agent",
-            tools: [{ name: "lookup", description: "Lookup", inputSchema: { type: "object", properties: {} } }],
-            prompt: "Hello",
-          }),
-        ).pipe(Effect.map((prepared) => prepared.body)),
-      )
-
-      bodies.forEach((body) => {
-        expect(body.tools?.[0]?.cache_control).toBeUndefined()
-        expect(body.messages).toMatchObject([
-          { role: "system", content: "Base agent" },
-          { role: "user", content: "Hello" },
-        ])
-      })
-    }),
-  )
-
  it.effect("lowers the native cache policy to OpenRouter cache controls", () =>
    Effect.gen(function* () {
      const prepared = yield* compileRequest(
@@ -193,8 +74,6 @@ describe("OpenRouter", () => {
          cache: "none",
          messages: [
            Message.user("Call the tool"),
-            Message.assistant("Unmarked reply"),
-            Message.user("Call again"),
            Message.assistant([
              { type: "text", text: "Calling", cache: new CacheHint({ type: "ephemeral" }) },
              { type: "tool-call", id: "call_1", name: "lookup", input: {} },
@@ -211,17 +90,8 @@ describe("OpenRouter", () => {

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

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

      expect(prepared.body.messages).toMatchObject([
        { role: "user", content: "Think" },
-        { role: "assistant", content: "" },
+        { role: "assistant", cache_control: { type: "ephemeral" } },
      ])
-      expect(prepared.body.messages[1]).not.toHaveProperty("cache_control")
-    }),
-  )
-
-  it.effect("counts wrapped system-update markers once so all four default breakpoints survive", () =>
-    Effect.gen(function* () {
-      const prepared = yield* compileRequest(
-        LLM.request({
-          model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
-          system: [
-            { type: "text", text: "Base agent" },
-            { type: "text", text: "Project instructions" },
-          ],
-          tools: [{ name: "lookup", description: "Lookup", inputSchema: { type: "object", properties: {} } }],
-          messages: [Message.user("Start"), Message.system("Updated instructions")],
-        }),
-      )
-
-      expect(prepared.body.tools?.[0]?.cache_control).toEqual({ type: "ephemeral" })
-      expect(prepared.body.messages.at(-1)).toMatchObject({
-        role: "user",
-        content: [
-          { type: "text", text: "Start" },
-          {
-            type: "text",
-            text: "<system-update>\nUpdated instructions\n</system-update>",
-            cache_control: { type: "ephemeral" },
-          },
-        ],
-      })
    }),
  )

@@ -54,28 +54,16 @@ it.effect("ZAI Chat retains native thinking fields and scopes tool streaming to
        baseURL: "https://gateway.example/custom",
        auth: Auth.header("x-test-key", "fixture"),
      })
-      for (const [modelID, supported] of [
-        ["glm-3.9", false],
-        ["glm-4", false],
-        ["glm-4.5", false],
-        ["glm-4.5-air", false],
-        ["glm-4.5-x", false],
-        ["glm-4.6", true],
-        ["glm-4.7-flash", true],
-        ["glm-4.8", true],
-        ["glm-4.10", true],
-        ["glm-5", true],
-        ["glm-5.3", true],
-        ["glm-5.3-flash", true],
-        ["glm-6", true],
-        ["glm-10.1-new-family", true],
-        ["zai/glm-6.1", true],
-        ["GLM-4.6", true],
-        ["not-glm-6", false],
-        ["glm-4.60foo", false],
-        ["glm-6.x", false],
-        ["future-model", false],
-      ] as const) {
+      for (const modelID of [
+        "glm-4.5",
+        "glm-4.5-air",
+        "glm-4.5-x",
+        "glm-4.6",
+        "glm-4.7-flash",
+        "glm-5.3",
+        "glm-5.3-flash",
+        "future-model",
+      ]) {
        const result = yield* compileRequest(
          LLM.request({
            model: provider.chat(modelID),
@@ -90,7 +78,9 @@ it.effect("ZAI Chat retains native thinking fields and scopes tool streaming to
          max_tokens: 123,
          thinking: { type: "enabled", clear_thinking: false },
        })
-        expect(result.body.tool_stream).toBe(supported ? true : undefined)
+        expect(result.body.tool_stream).toBe(
+          ["glm-4.6", "glm-4.7-flash", "glm-5.3", "glm-5.3-flash"].includes(modelID) ? true : undefined,
+        )
        expect(result.body.max_completion_tokens).toBeUndefined()
        expect(result.body.store).toBeUndefined()
        expect(result.body.tools).toEqual([
@@ -130,30 +120,6 @@ it.effect("ZAI Chat retains native thinking fields and scopes tool streaming to
  }),
 )

-it.effect("ZAI tool streaming defaults require tools and preserve explicit overrides", () =>
-  Effect.gen(function* () {
-    for (const configure of [ZAI.configure, ZAICodingPlan.configure]) {
-      const provider = configure({ apiKey: "fixture" })
-      for (const item of [
-        { id: "glm-6.1", tools: [], toolStream: undefined, expected: undefined },
-        { id: "glm-4.5", tools: [tool], toolStream: true, expected: true },
-        { id: "glm-6.1", tools: [tool], toolStream: false, expected: false },
-        { id: "future-model", tools: [tool], toolStream: true, expected: true },
-      ]) {
-        const result = yield* compileRequest(
-          LLM.request({
-            model: provider.chat(item.id),
-            prompt: "Hello",
-            tools: item.tools,
-            providerOptions: { toolStream: item.toolStream },
-          }),
-        )
-        expect(result.body.tool_stream).toBe(item.expected)
-      }
-    }
-  }),
-)
-
 it.effect("ZAI lowers effort using the selected native API without inventing thinking settings", () =>
  Effect.gen(function* () {
    for (const effort of ["none", "minimal", "low", "medium", "high", "xhigh", "max", "future-effort"]) {
@@ -15,47 +15,12 @@ describe("tool history normalization", () => {
      Message.assistant(toolCall("trailing")),
    ])

-    expect(normalized.map((message) => message.role)).toEqual([
-      "assistant",
-      "tool",
-      "tool",
-      "user",
-      "assistant",
-      "tool",
-    ])
+    expect(normalized.map((message) => message.role)).toEqual(["assistant", "tool", "tool", "user", "assistant"])
    expect(normalized[1]?.content[0]).toMatchObject({ type: "tool-result", id: "first", name: "first" })
    expect(normalized[2]?.content).toEqual([
      { type: "tool-result", id: "second", name: "second", result: { type: "error", value: "Tool result missing" } },
    ])
    expect(normalized[4]?.content).toEqual([toolCall("trailing")])
-    expect(normalized[5]?.content).toEqual([
-      {
-        type: "tool-result",
-        id: "trailing",
-        name: "trailing",
-        result: { type: "error", value: "Tool result missing" },
-      },
-    ])
-  })
-
-  test("fills missing results for trailing calls without replacing available results", () => {
-    const calls = Message.assistant([toolCall("answered"), toolCall("unanswered")])
-    const answered = toolResult("answered", "done", "answered", "text")
-    const hosted = ToolCallPart.make({ id: "hosted", name: "web_search", input: {}, providerExecuted: true })
-
-    expect(normalizeToolHistory([calls, answered])).toEqual([
-      calls,
-      answered,
-      Message.tool(
-        ToolResultPart.make({
-          id: "unanswered",
-          name: "unanswered",
-          result: "Tool result missing",
-          resultType: "error",
-        }),
-      ),
-    ])
-    expect(normalizeToolHistory([Message.assistant(hosted)])).toEqual([Message.assistant(hosted)])
  })

  test("normalizes empty results without changing whitespace or media", () => {
@@ -112,51 +77,4 @@ describe("tool history normalization", () => {

    expect(normalized[1]?.content[0]).toMatchObject({ name: "lookup", namespace: undefined })
  })
-
-  test("moves system updates after the results of pending calls", () => {
-    const calls = Message.assistant([toolCall("first"), toolCall("second")])
-    const first = toolResult("first", "one", "first", "text")
-    const second = toolResult("second", "two", "second", "text")
-    const update = Message.system("First update.")
-    const later = Message.system("Second update.")
-    const user = Message.user("Continue.")
-    const missing = (id: string) =>
-      Message.tool(ToolResultPart.make({ id, name: id, result: "Tool result missing", resultType: "error" }))
-
-    expect(normalizeToolHistory([calls, first, update, later, second, user])).toEqual([
-      calls,
-      first,
-      second,
-      update,
-      later,
-      user,
-    ])
-    expect(normalizeToolHistory([Message.assistant(toolCall("first")), update, user])).toEqual([
-      Message.assistant(toolCall("first")),
-      missing("first"),
-      update,
-      user,
-    ])
-    expect(normalizeToolHistory([Message.assistant(toolCall("first")), update])).toEqual([
-      Message.assistant(toolCall("first")),
-      missing("first"),
-      update,
-    ])
-  })
-
-  test("moves effort updates after the results of pending calls", () => {
-    const call = Message.assistant(toolCall("first"))
-    const result = toolResult("first", "one", "first", "text")
-    const effort = Message.effort({ effort: "low", previous: "high" })
-
-    expect(normalizeToolHistory([call, effort, result])).toEqual([call, result, effort])
-  })
-
-  test("keeps system updates in place when no call is pending", () => {
-    const history = [Message.assistant(toolCall("first")), toolResult("first", "one", "first", "text")]
-    const update = Message.system("Update.")
-    const input = [Message.user("Start."), update, ...history, update, Message.user("Continue.")]
-
-    expect(normalizeToolHistory(input)).toBe(input)
-  })
 })
@@ -43,18 +43,6 @@
 - In translation review notes, name the corpora used and call out uncertain or region-specific terminology so native speakers can focus review where it matters.
 - Also use the relevant language authority or official dictionary for the locale (for example RAE/Fundéu, FranceTerme, Duden, TDK, Kotus/Kielitoimiston sanakirja, Språkrådet/Bokmålsordboka, Rada Języka Polskiego/PWN, the Russian and Arabic language academies, the Ukrainian Orthography, Taiwan MOE dictionaries, or the Royal Society of Thailand). Treat the English dictionary as the semantic source of truth and preserve placeholders, code identifiers, product names, and keyboard labels.

-## Tests
-
-A test must pay for its upkeep. Before adding one, answer three questions: which observable contract does it protect, which credible regression makes it fail, and why does no existing test already catch that regression. If any answer is missing, do not add the test.
-
- One contract, one owner. Test each behavior once, at the strongest boundary that observes it: the area's e2e keeper suite, or the owning module's unit test. Extend an existing table or keeper case before creating a file.
- Do not unit-test what an e2e keeper already proves, what a dependency does (for example `@pierre/trees`), config that passes values through, or source text (import or string greps). Source text is fair game only when that text is the contract, such as a persisted key.
- Never add production seams for tests: no test-only exports, parameters such as `now`, `delay` or `budget`, flags, globals, or `data-*` attributes. Control time with `setSystemTime` from `bun:test` and drive the real entry point.
- A test must be able to fail. Do not assert values the code under test produced, mock the behavior you assert, use soft assertions for the order the test guards, or leave `rejects`/`resolves` un-awaited. A regression test must fail on the code before the fix.
- Do not repeat a case per theme, text direction, viewport or channel. Use one table, and only when the behavior differs.
- When you delete or move coverage, name the test that still proves the contract. When you move a contract, mutate its owner once and confirm the new test fails.
- A contract proven by a `packages/session-ui/component-tests` test does not also get an app e2e copy.
-
 ## Tool Calling

 - ALWAYS USE PARALLEL TOOLS WHEN APPLICABLE.
@@ -1,61 +0,0 @@
-import { fileURLToPath } from "node:url"
-import { expect, story } from "../../storybook/playwright/story"
-
-const source = (path: string) => `/@fs/${fileURLToPath(new URL(path, import.meta.url)).replaceAll("\\", "/")}`
-const modules = {
-  fixture: source("../../gui-extensions/src/browser/panel.fixture.tsx"),
-  host: source("../src/runtime/extension/host.tsx"),
-  panels: source("../src/runtime/extension/panels.tsx"),
-  language: source("../src/runtime/i18n/language.tsx"),
-  browser: source("../../gui-extensions/src/browser/index.ts"),
-  browserRenderer: source("../../gui-extensions/src/browser/renderer.tsx"),
-  file: source("../../gui-extensions/src/file/index.ts"),
-  fileRenderer: source("../../gui-extensions/src/file/renderer.tsx"),
-}
-
-story(
-  "keeps a restored browser tab selected and undrawn until the desktop's first inventory",
-  async ({ mount, page }) => {
-    // Any story loads the app styles; the fixture mounts the real side region and extensions beside it.
-    await mount("ui-line-comment--editor")
-    await page.evaluate(async (modules) => {
-      const [{ mountBrowserRegion }, host, panels, language, browser, file] = await Promise.all([
-        import(modules.fixture),
-        import(modules.host),
-        import(modules.panels),
-        import(modules.language),
-        import(modules.browser),
-        import(modules.file),
-      ])
-      mountBrowserRegion({
-        LanguageProvider: language.LanguageProvider,
-        ExtensionHostProvider: host.ExtensionHostProvider,
-        useExtensionHost: host.useExtensionHost,
-        createRegion: panels.createRegion,
-        definitions: [
-          { ...browser.default, renderer: () => import(modules.browserRenderer) },
-          { ...file.default, renderer: () => import(modules.fileRenderer) },
-        ],
-      })
-    }, modules)
-    const root = page.getByTestId("browser-region-fixture")
-    const tabs = root.getByRole("tab")
-    const tree = root.getByTestId("tree")
-    await expect(root.getByText("Registrations: 1", { exact: true })).toBeVisible()
-    await expect(tabs).toHaveText(["alpha.ts"])
-    await expect(tree).toHaveText('{"tab":"changes"}')
-
-    // Beta was left on its browser tab, which the desktop has not reported yet.
-    await root.getByRole("button", { name: "Beta", exact: true }).click()
-    await expect(root.getByText("Registrations: 2", { exact: true })).toBeVisible()
-    await expect(root.getByTestId("selected")).toHaveText(/^browser:tab_/)
-    await expect(tabs).toHaveText(["beta.ts"])
-    // No fallback tab was selected, so the file tab's selection never switched the tree to All files.
-    await expect(tree).toHaveText('{"tab":"changes"}')
-
-    await root.getByRole("button", { name: "First inventory", exact: true }).click()
-    await expect(tabs).toHaveText(["beta.ts", "Preview"])
-    await expect(root.getByRole("tab", { name: "Preview", exact: true })).toHaveAttribute("aria-selected", "true")
-    await expect(tree).toHaveText('{"tab":"changes"}')
-  },
-)
@@ -0,0 +1,194 @@
+import { DialogProvider } from "@opencode/ui/context/dialog"
+import { Browser } from "@opencode/plugin-browser/rpc"
+import { For, Show } from "solid-js"
+import { createStore } from "solid-js/store"
+import { Portal, render } from "solid-js/web"
+import { LanguageProvider, UiI18nBridge } from "../src/runtime/i18n/language"
+import type { BrowserPaneLayout, BrowserPaneRegistration } from "../src/runtime/platform/browser-pane"
+import type { createSessionBrowser } from "../src/session/browser/model"
+import { SessionBrowserPane } from "../src/session/browser/pane"
+
+export function mountBrowserPane() {
+  const host = document.createElement("main")
+  host.dataset.testid = "browser-pane-fixture"
+  host.style.cssText = "position:fixed;inset:0;z-index:1000;background:#181818;color:#eee;padding:24px"
+  document.body.appendChild(host)
+
+  function Fixture() {
+    const [store, setStore] = createStore({
+      session: "Alpha",
+      mounted: true,
+      visible: true,
+      url: undefined as string | undefined,
+      loading: false,
+      generation: 0,
+      delayNavigation: false,
+      pendingURL: undefined as string | undefined,
+      loadErrors: {} as Record<string, string | undefined>,
+      error: undefined as string | undefined,
+      layouts: {} as Record<string, BrowserPaneLayout | undefined>,
+      covered: false,
+      captures: 0,
+      holdCapture: false,
+    })
+    // Each capture waits until the fixture releases it, so a spec can observe the pending state.
+    const held: (() => void)[] = []
+    const tabs = ["Alpha", "Beta"].map((name) => ({
+      id: Browser.TabID.make(`tab_${name === "Alpha" ? "11111111" : "22222222"}-1111-1111-1111-111111111111`),
+      title: name,
+      url: `https://${name.toLowerCase()}.example/`,
+      loading: false,
+      canGoBack: false,
+      canGoForward: false,
+      generation: 0,
+    }))
+    // Record the native boundary per registration: hiding Beta cannot hide Alpha's view.
+    const registrations = new Map<string, BrowserPaneRegistration>(
+      tabs.map((tab) => [
+        tab.title,
+        {
+          setLayout: (layout) => setStore("layouts", tab.title, layout),
+          command: async () => undefined,
+          capture: async () => {
+            setStore("captures", (count) => count + 1)
+            if (store.holdCapture) await new Promise<void>((resolve) => held.push(resolve))
+            const canvas = new OffscreenCanvas(4, 4)
+            const paint = canvas.getContext("2d")
+            if (paint) {
+              paint.fillStyle = "#3b82f6"
+              paint.fillRect(0, 0, 4, 4)
+            }
+            return canvas.convertToBlob()
+          },
+          close: () => undefined,
+        },
+      ]),
+    )
+    const browser: ReturnType<typeof createSessionBrowser> = {
+      available: () => true,
+      attached: () => !!registrations.get(store.session),
+      opened: () => !!registrations.get(store.session),
+      state: () => ({ tabs: tabs.filter((tab) => tab.title === store.session), focusedTabID: null }),
+      tabs: () => tabs.filter((tab) => tab.title === store.session),
+      active: () => {
+        const tab = tabs.find((tab) => tab.title === store.session) ?? tabs[0]
+        return {
+          ...tab,
+          url: store.url ?? tab.url,
+          loading: store.loading,
+          generation: store.generation,
+          loadError: store.loadErrors[store.session],
+        }
+      },
+      registration: () => registrations.get(store.session),
+      error: () => store.error ?? (store.loadErrors[store.session] ? "Request failed" : undefined),
+      suspended: () => false,
+      close: () => undefined,
+      open: () => undefined,
+      command: (command) => {
+        setStore("error", undefined)
+        if (command.type === "navigate" || command.type === "reload") setStore("loadErrors", store.session, undefined)
+        if (command.type === "navigate") {
+          if (store.delayNavigation) {
+            setStore("pendingURL", command.url)
+            return
+          }
+          setStore({ url: command.url, loading: false, generation: store.generation + 1 })
+        }
+        if (command.type === "stop") setStore("loading", false)
+      },
+    }
+    return (
+      <>
+        <h1 style={{ "font-size": "24px", "margin-bottom": "16px" }}>Browser pane lifecycle</h1>
+        <p>Selected session: {store.session}</p>
+        <nav style={{ display: "flex", gap: "20px", margin: "16px 0" }}>
+          <For each={["Alpha", "Beta", "Empty"]}>
+            {(name) => <button onClick={() => setStore({ session: name, mounted: name !== "Empty" })}>{name}</button>}
+          </For>
+          <button onClick={() => setStore("mounted", false)}>Unmount pane</button>
+          <button onClick={() => setStore({ url: "about:blank", loading: false })}>Blank page</button>
+          <button onClick={() => setStore({ url: "about:blank", loading: true })}>Loading page</button>
+          <button
+            onClick={() =>
+              setStore({ loading: true, generation: store.generation + 1, loadErrors: { [store.session]: undefined } })
+            }
+          >
+            Load current page
+          </button>
+          <button onClick={() => setStore("loadErrors", store.session, "ERR_CONNECTION_REFUSED")}>Failed page</button>
+          <button onClick={() => setStore("delayNavigation", true)}>Delay navigation</button>
+          <button onClick={() => setStore({ error: "ERR_BLOCKED_BY_CLIENT", pendingURL: undefined })}>
+            Block navigation
+          </button>
+          <button
+            onClick={() =>
+              setStore({
+                url: store.pendingURL,
+                pendingURL: undefined,
+                loading: false,
+                generation: store.generation + 1,
+              })
+            }
+          >
+            Complete navigation
+          </button>
+          <button onClick={() => setStore("visible", (visible) => !visible)}>Toggle Review tab</button>
+          <button onClick={() => setStore("holdCapture", true)}>Hold capture</button>
+          <button onClick={() => held.splice(0).forEach((resolve) => resolve())}>Release capture</button>
+          <button onClick={() => setStore("covered", (covered) => !covered)}>Toggle popover</button>
+        </nav>
+        <p>Captures: {store.captures}</p>
+        <div style={{ position: "relative", width: "640px", height: "360px", border: "1px solid #555" }}>
+          <Show when={store.mounted}>
+            <SessionBrowserPane browser={browser} visible={store.visible} />
+          </Show>
+        </div>
+        <Show when={store.covered}>
+          {/* Floating content portals into <body> like a menu or hover card over the page. */}
+          <Portal mount={document.body}>
+            <div
+              data-popper-positioner
+              data-testid="fixture-popover"
+              style={{
+                position: "fixed",
+                top: "0",
+                left: "0",
+                width: "320px",
+                height: "480px",
+                "z-index": "1001",
+                "pointer-events": "none",
+              }}
+            />
+          </Portal>
+        </Show>
+        <h2 style={{ "font-size": "18px", margin: "20px 0 12px" }}>Native layout recorder</h2>
+        <p>The desktop boundary keeps each session's page visible until its registration is hidden.</p>
+        <For each={tabs}>
+          {(tab) => (
+            <div
+              data-testid={`native-${tab.title}`}
+              data-visible={!!store.layouts[tab.title]?.visible}
+              style={{ padding: "12px", margin: "8px 0", border: "1px solid #555" }}
+            >
+              {tab.title}: {store.layouts[tab.title]?.visible ? "visible" : "hidden"}
+            </div>
+          )}
+        </For>
+      </>
+    )
+  }
+
+  return render(
+    () => (
+      <LanguageProvider locale="en">
+        <UiI18nBridge>
+          <DialogProvider>
+            <Fixture />
+          </DialogProvider>
+        </UiI18nBridge>
+      </LanguageProvider>
+    ),
+    host,
+  )
+}
Author	SHA1	Message	Date
Ryan Vogel	705c3ab746	feat(core): let agents create recurring and one-shot schedules Adds schedule_create, schedule_list and schedule_cancel tools in the opencode namespace so the agent can schedule prompts back into its own session. schedule_create accepts `every` (30s/15m/2h/1d), `at` (ISO 8601 with offset) for a single run, or both (`at` sets the first run). SessionSchedule now stores multiple schedules per session, keyed by a new `sch_` ID, and persists the absolute next fire time instead of only the interval. This replaces the one-schedule-per-session model and fixes restarts resetting the countdown: one-shots fire at their original time after a restart, and overdue recurring schedules fire once then resume their cadence rather than bursting. `/schedule off` now cancels every schedule in the session. Past `at` times, missing timing and invalid intervals return tool errors. Verified with an isolated managed-mode server and a scripted OpenAI-compatible mock model driving `execute`: create every 5s fired every 5s; `at` fired at 15:55:42.013 for a 15:55:42 target; a one-shot created before a restart fired on time after it (15:56:23.013); list returned both schedules with server time; cancel stopped firing; invalid inputs returned the three expected errors. core and server typecheck.	2026-09-29 11:57:09 -04:00
Ryan Vogel	e9f17d5ebe	chore(core): format session schedule service Prettier wrapped the long catchCause line; no behavior change.	2026-09-29 11:51:17 -04:00
Ryan Vogel	a5ceab882e	feat(core): run session schedules as global background jobs Moves schedule timers out of the per-Location plugin into a new global SessionSchedule service. Previously timers lived in the Location's plugin scope, so they stopped on server restart until something reloaded the Location, and stopped whenever the Location was evicted after 60 minutes of inactivity. Timers now live in the global service and call Session.prompt, which loads the Location on demand, so schedules fire even when the session is not open. - SessionSchedule persists entries in KV (session.schedule/<id>) and exposes set/remove/resume. A deleted session ends its schedule. - The managed server calls resume at boot next to restart continuity; unmanaged servers sharing the database do not restore schedules. - The opencode.schedule plugin now only registers /schedule and delegates to the service; the per-Location restore logic is removed. Verified: core and server typecheck; against an isolated managed-mode server, a 5s schedule fired every 5s, resumed after a restart with no client touching the session, and `/schedule off` stopped the boot-restored timer. Server tests: 3 OpenAI OAuth port tests fail identically without this change.	2026-09-29 11:43:20 -04:00
Ryan Vogel	e0709f8de0	feat(core): add /schedule command for recurring session prompts Adds a minimal built-in plugin (opencode.schedule) that registers `/schedule <30s\|15m\|2h> <prompt>` and `/schedule off`. Each schedule is saved in plugin storage keyed by session ID and re-queues the prompt with delivery "queue" on a fixed interval, modeled on the warming plugin loop. When a location loads, the plugin restarts only schedules whose session belongs to that location, so a session is never double-scheduled. Known gaps (prototype): schedules resume after a server restart only once something loads the session's location, and intervals longer than the 60-minute location inactivity TTL stop when the location is evicted. Verified: core typecheck passes; against an isolated `serve` instance, a 5s schedule admitted prompts every 5s, stopped across a restart, and resumed after the session's location was reloaded by a manual prompt.	2026-09-29 11:35:53 -04:00