refactor(core): route plugin agent reads through one location helper

feat(protocol): expose the default agent
2026-10-05 15:06:16 +00:00 · 2026-10-01 16:07:59 +05:30 · 2026-10-01 15:57:31 +05:30
1208 changed files with 17829 additions and 47496 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
@@ -18,20 +14,9 @@ jobs:
    steps:
      - name: Checkout repository
        uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4.3.1
-        with:
-          # A pull request checks out its merge into the current base; the first parent is that base.
-          fetch-depth: 2

      - name: Setup Bun
        uses: ./.github/actions/setup-bun

      - name: Run checks
        run: bun run check
-
-      # Every GUI package file (app, desktop, gui-extensions, ui, session-ui) a pull request adds or edits must be free of
-      # oxlint problems, warn-level rules (anti-slop) included. Other packages are not affected.
-      - name: Lint changed files
-        if: github.event_name == 'pull_request'
-        # Against the merge's first parent, so base-branch commits the pull request has not merged are not counted as its
-        # changes (the event's base SHA can predate them).
-        run: bun run lint:changed HEAD^1
@@ -2,11 +2,9 @@ name: nix-eval

 on:
  push:
-    branches: [dev, v2]
+    branches: [dev]
  pull_request:
-    branches: [dev, v2]
-    paths-ignore:
-      - services/www/src/docs/**
+    branches: [dev]
  workflow_dispatch:

 concurrency:
@@ -27,7 +27,6 @@ jobs:
    runs-on: blacksmith-4vcpu-ubuntu-2404
    outputs:
      app: ${{ steps.packages.outputs.app }}
-      docs: ${{ steps.docs.outputs.only }}
    steps:
      - name: Checkout repository
        uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4.3.1
@@ -53,17 +52,6 @@ jobs:
          bun x turbo@2.10.2 ls --affected --filter=@opencode/app --output=json > affected.json
          bun -e 'const result = await Bun.file("affected.json").json(); console.log(`app=${result.packages.count > 0}`)' >> "$GITHUB_OUTPUT"

-      # A pull request that changes only documentation site files cannot affect what the unit job tests or builds; the
-      # typecheck job and the www workflow check those files.
-      - name: Find documentation-only pull request
-        id: docs
-        if: github.event_name == 'pull_request'
-        run: |
-          files=$(git diff --name-only HEAD^1 HEAD)
-          if [ -n "$files" ] && ! grep -qv '^services/www/src/docs/' <<< "$files"; then
-            echo "only=true" >> "$GITHUB_OUTPUT"
-          fi
-
  unit:
    name: unit (${{ matrix.settings.name }})
    strategy:
@@ -74,48 +62,45 @@ jobs:
            host: blacksmith-4vcpu-ubuntu-2404
          - name: windows
            host: blacksmith-4vcpu-windows-2025
-    needs: affected
    runs-on: ${{ matrix.settings.host }}
-    env:
-      # Skip steps rather than the job so the required unit (linux) and unit (windows) checks still report.
-      UNIT_ENABLED: ${{ needs.affected.outputs.docs != 'true' }}
    defaults:
      run:
        shell: bash
    steps:
      - name: Checkout repository
-        if: env.UNIT_ENABLED == 'true'
        uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4.3.1
        with:
          token: ${{ secrets.GITHUB_TOKEN }}
          fetch-depth: 0

      - name: Setup Node
-        if: env.UNIT_ENABLED == 'true'
        uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4.4.0
        with:
          node-version: "24"

      - name: Setup Bun
-        if: env.UNIT_ENABLED == 'true'
        uses: ./.github/actions/setup-bun

      - name: Test Effect simplification rules
-        if: runner.os == 'Linux' && env.UNIT_ENABLED == 'true'
+        if: runner.os == 'Linux'
        run: bun run test:effect-simplification-rules

      - name: Check Effect simplifications
-        if: runner.os == 'Linux' && env.UNIT_ENABLED == 'true'
+        if: runner.os == 'Linux'
        run: bun run lint:effect-simplifications

      - name: Configure git identity
-        if: env.UNIT_ENABLED == 'true'
        run: |
          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
-        if: env.UNIT_ENABLED == 'true'
        uses: actions/cache@0057852bfaa89a56745cba8c7296529d2fc39830 # v4.3.0
        with:
          path: node_modules/.cache/turbo
@@ -125,7 +110,6 @@ jobs:
            turbo-${{ runner.os }}-

      - name: Run unit tests
-        if: env.UNIT_ENABLED == 'true'
        timeout-minutes: 20
        run: |
          # The runners have four vCPUs, and each Bun test process performs its own concurrent work.
@@ -140,12 +124,12 @@ jobs:
          TURBO_SCM_HEAD: ${{ github.sha }}

      - name: Verify published codemode package
-        if: runner.os == 'Linux' && env.UNIT_ENABLED == 'true'
+        if: runner.os == 'Linux'
        working-directory: packages/codemode
        run: bun run script/publish.ts --dry-run

      - name: Verify packed workerd SDK
-        if: runner.os == 'Linux' && env.UNIT_ENABLED == 'true'
+        if: runner.os == 'Linux'
        timeout-minutes: 15
        run: |
          if [ "${{ github.event_name }}" = "workflow_dispatch" ]; then
@@ -158,7 +142,7 @@ jobs:
          TURBO_SCM_HEAD: ${{ github.sha }}

      - name: Verify compiled service lifecycle
-        if: always() && env.UNIT_ENABLED == 'true'
+        if: always()
        timeout-minutes: 10
        working-directory: packages/cli
        env:
@@ -168,13 +152,13 @@ jobs:
          bun run script/service-smoke.ts

      - name: Setup Node build runtime
-        if: always() && env.UNIT_ENABLED == 'true'
+        if: always()
        uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4.4.0
        with:
          node-version: "26.4.0"

      - name: Verify Node build
-        if: always() && env.UNIT_ENABLED == 'true'
+        if: always()
        timeout-minutes: 15
        working-directory: packages/cli
        env:
@@ -184,12 +168,12 @@ jobs:
          bun run script/service-smoke.ts --node

      - name: Check generated client
-        if: runner.os == 'Linux' && env.UNIT_ENABLED == 'true'
+        if: runner.os == 'Linux'
        working-directory: packages/client
        run: bun run check:generated

      - name: Check generated documentation
-        if: runner.os == 'Linux' && env.UNIT_ENABLED == 'true'
+        if: runner.os == 'Linux'
        working-directory: services/www
        run: bun run check:generated

@@ -274,13 +258,6 @@ jobs:
          CI: true
        timeout-minutes: 15

-      - name: Run app component tests
-        if: ${{ !cancelled() && env.E2E_ENABLED == 'true' }}
-        run: bun --cwd packages/app 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
@@ -293,5 +270,3 @@ jobs:
            packages/app/e2e/playwright-report
            packages/session-ui/component-tests/test-results
            packages/session-ui/component-tests/playwright-report
-            packages/app/component-tests/test-results
-            packages/app/component-tests/playwright-report
@@ -1,33 +0,0 @@
-name: www
-
-# Builds the website the way deploy-www does, without deploying, so a pull request finds broken pages and links before
-# they reach v2.
-on:
-  pull_request:
-    branches: [v2]
-    paths:
-      - services/www/**
-      - bun.lock
-      - .github/workflows/www.yml
-
-concurrency:
-  group: ${{ github.workflow }}-${{ github.event.pull_request.number }}
-  cancel-in-progress: true
-
-permissions:
-  contents: read
-
-jobs:
-  build:
-    name: www build
-    runs-on: blacksmith-4vcpu-ubuntu-2404
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4.3.1
-
-      - name: Setup Bun
-        uses: ./.github/actions/setup-bun
-
-      - name: Build
-        working-directory: services/www
-        run: bun run build
@@ -63,60 +63,8 @@
        "anti-slop-effect/prefer-effect-match": "warn"
      }
    },
-    {
-      "files": ["packages/gui-extensions/src/*.ts", "packages/gui-extensions/src/*.tsx"],
-      "rules": {
-        "no-restricted-imports": [
-          "error",
-          {
-            "paths": [
-              {
-                "name": "solid-js",
-                "importNames": ["createEffect", "createRenderEffect", "createComputed"],
-                "message": "Extension code runs side effects through the SDK: createKeyed(source, fn, { otherwise }) per provider generation or value, createMemo or a plain function for derived values, createLatest for async data, createVisitState for per-visit state, and the handler for logic a user action causes. An escape hatch needs an oxlint-disable comment with a reason."
-              }
-            ]
-          }
-        ]
-      }
-    },
    {
      "files": ["packages/gui-extensions/src/*/**"],
-      "rules": {
-        "no-restricted-imports": [
-          "error",
-          {
-            "paths": [
-              {
-                "name": "solid-js",
-                "importNames": ["createEffect", "createRenderEffect", "createComputed"],
-                "message": "Extension code runs side effects through the SDK: createKeyed(source, fn, { otherwise }) per provider generation or value, createMemo or a plain function for derived values, createLatest for async data, createVisitState for per-visit state, and the handler for logic a user action causes. An escape hatch needs an oxlint-disable comment with a reason."
-              }
-            ],
-            "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)."
-              }
-            ]
-          }
-        ]
-      }
-    },
-    {
-      "files": ["packages/gui-extensions/src/sdk/**"],
      "rules": {
        "no-restricted-imports": [
          "error",
@@ -33,7 +33,7 @@
    },
    "packages/ai": {
      "name": "@opencode/ai",
-      "version": "2.0.23",
+      "version": "2.0.21",
      "dependencies": {
        "@aws-sdk/credential-providers": "3.1057.0",
        "@opencode/schema": "workspace:*",
@@ -55,7 +55,7 @@
    },
    "packages/app": {
      "name": "@opencode/app",
-      "version": "2.0.23",
+      "version": "2.0.21",
      "dependencies": {
        "@corvu/drawer": "catalog:",
        "@dnd-kit/abstract": "0.5.0",
@@ -112,17 +112,17 @@
    },
    "packages/cli": {
      "name": "@opencode/cli",
-      "version": "2.0.23",
+      "version": "2.0.21",
      "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:",
-        "@opencode-ai/pty": "0.2.0",
+        "@opencode-ai/pty": "0.1.13",
        "@opencode/client": "workspace:*",
        "@opencode/plugin": "workspace:*",
        "@opencode/schema": "workspace:*",
@@ -133,7 +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",
@@ -179,7 +178,7 @@
    },
    "packages/client": {
      "name": "@opencode/client",
-      "version": "2.0.23",
+      "version": "2.0.21",
      "dependencies": {
        "@opencode/protocol": "workspace:*",
        "@opencode/schema": "workspace:*",
@@ -205,7 +204,7 @@
    },
    "packages/codemode": {
      "name": "@opencode/codemode",
-      "version": "2.0.23",
+      "version": "2.0.21",
      "dependencies": {
        "acorn": "8.15.0",
        "effect": "catalog:",
@@ -218,7 +217,7 @@
    },
    "packages/console/app": {
      "name": "@opencode/console-app",
-      "version": "2.0.23",
+      "version": "2.0.21",
      "dependencies": {
        "@cloudflare/vite-plugin": "1.15.2",
        "@ibm/plex": "6.4.1",
@@ -254,7 +253,7 @@
    },
    "packages/console/core": {
      "name": "@opencode/console-core",
-      "version": "2.0.23",
+      "version": "2.0.21",
      "dependencies": {
        "@aws-sdk/client-sts": "3.782.0",
        "@jsx-email/render": "1.1.1",
@@ -281,7 +280,7 @@
    },
    "packages/console/function": {
      "name": "@opencode/console-function",
-      "version": "2.0.23",
+      "version": "2.0.21",
      "dependencies": {
        "@openauthjs/openauth": "0.0.0-20250322224806",
        "@opencode/console-core": "workspace:*",
@@ -298,7 +297,7 @@
    },
    "packages/console/mail": {
      "name": "@opencode/console-mail",
-      "version": "2.0.23",
+      "version": "2.0.21",
      "dependencies": {
        "@jsx-email/all": "2.2.3",
        "@jsx-email/cli": "1.4.3",
@@ -322,7 +321,7 @@
    },
    "packages/console/support": {
      "name": "@opencode/console-support",
-      "version": "2.0.23",
+      "version": "2.0.21",
      "dependencies": {
        "@cloudflare/vite-plugin": "1.15.2",
        "@opencode/console-core": "workspace:*",
@@ -342,7 +341,7 @@
    },
    "packages/core": {
      "name": "@opencode/core",
-      "version": "2.0.23",
+      "version": "2.0.21",
      "dependencies": {
        "@ai-sdk/cohere": "3.0.27",
        "@ai-sdk/gateway": "3.0.104",
@@ -355,7 +354,7 @@
        "@lydell/node-pty": "catalog:",
        "@modelcontextprotocol/client": "2.0.0",
        "@modelcontextprotocol/core": "2.0.0",
-        "@opencode-ai/pty": "0.2.0",
+        "@opencode-ai/pty": "0.1.13",
        "@opencode/ai": "workspace:*",
        "@opencode/codemode": "workspace:*",
        "@opencode/plugin": "workspace:*",
@@ -365,7 +364,7 @@
        "@parcel/watcher": "2.5.1",
        "@silvia-odwyer/photon-node": "0.3.4",
        "@standard-schema/spec": "catalog:",
-        "bun-pty": "0.4.9",
+        "bun-pty": "0.4.8",
        "diff": "catalog:",
        "drizzle-orm": "catalog:",
        "effect": "catalog:",
@@ -383,6 +382,7 @@
        "mime-types": "3.0.2",
        "tree-sitter-bash": "0.25.0",
        "tree-sitter-powershell": "0.25.10",
+        "venice-ai-sdk-provider": "2.1.1",
        "web-tree-sitter": "0.25.10",
        "which": "6.0.1",
        "zod": "catalog:",
@@ -410,7 +410,7 @@
    },
    "packages/desktop": {
      "name": "@opencode/desktop",
-      "version": "2.0.23",
+      "version": "2.0.21",
      "dependencies": {
        "@zip.js/zip.js": "2.7.62",
        "electron-context-menu": "5.0.0",
@@ -455,7 +455,7 @@
    },
    "packages/enterprise": {
      "name": "@opencode/enterprise",
-      "version": "2.0.23",
+      "version": "2.0.21",
      "dependencies": {
        "@hono/standard-validator": "catalog:",
        "@opencode-ai/sdk": "1.18.21",
@@ -492,7 +492,7 @@
    },
    "packages/function": {
      "name": "@opencode/function",
-      "version": "2.0.23",
+      "version": "2.0.21",
      "dependencies": {
        "@octokit/auth-app": "8.0.1",
        "@octokit/rest": "catalog:",
@@ -508,7 +508,7 @@
    },
    "packages/gui-extensions": {
      "name": "@opencode/gui-extensions",
-      "version": "2.0.23",
+      "version": "2.0.20",
      "dependencies": {
        "@dnd-kit/abstract": "0.5.0",
        "@dnd-kit/dom": "0.5.0",
@@ -553,7 +553,7 @@
    },
    "packages/http-recorder": {
      "name": "@opencode/http-recorder",
-      "version": "2.0.23",
+      "version": "2.0.21",
      "dependencies": {
        "@effect/platform-node-shared": "4.0.0-rc.112",
      },
@@ -572,7 +572,7 @@
    },
    "packages/httpapi-codegen": {
      "name": "@opencode/httpapi-codegen",
-      "version": "2.0.23",
+      "version": "2.0.21",
      "dependencies": {
        "effect": "catalog:",
        "prettier": "3.6.2",
@@ -585,7 +585,7 @@
    },
    "packages/latex": {
      "name": "@opencode/latex",
-      "version": "2.0.23",
+      "version": "2.0.21",
      "dependencies": {
        "@opencode/plugin": "workspace:*",
        "@opentui/core": "catalog:",
@@ -599,7 +599,7 @@
    },
    "packages/merman": {
      "name": "@opencode/merman",
-      "version": "2.0.23",
+      "version": "2.0.21",
      "dependencies": {
        "@opencode/plugin": "workspace:*",
        "@opentui/core": "catalog:",
@@ -614,7 +614,7 @@
    },
    "packages/plugin": {
      "name": "@opencode/plugin",
-      "version": "2.0.23",
+      "version": "2.0.21",
      "dependencies": {
        "@ai-sdk/provider": "3.0.8",
        "@opencode/ai": "workspace:*",
@@ -653,7 +653,7 @@
    },
    "packages/plugin-browser": {
      "name": "@opencode/plugin-browser",
-      "version": "2.0.23",
+      "version": "2.0.21",
      "dependencies": {
        "@opencode/plugin": "workspace:*",
        "@opencode/schema": "workspace:*",
@@ -683,7 +683,7 @@
    },
    "packages/protocol": {
      "name": "@opencode/protocol",
-      "version": "2.0.23",
+      "version": "2.0.21",
      "dependencies": {
        "@opencode/schema": "workspace:*",
        "effect": "catalog:",
@@ -698,7 +698,7 @@
    },
    "packages/schema": {
      "name": "@opencode/schema",
-      "version": "2.0.23",
+      "version": "2.0.21",
      "dependencies": {
        "@standard-schema/spec": "catalog:",
        "effect": "catalog:",
@@ -722,7 +722,7 @@
    },
    "packages/sdk": {
      "name": "@opencode/sdk",
-      "version": "2.0.23",
+      "version": "2.0.21",
      "dependencies": {
        "@opencode/client": "workspace:*",
        "@opencode/core": "workspace:*",
@@ -743,7 +743,7 @@
    },
    "packages/server": {
      "name": "@opencode/server",
-      "version": "2.0.23",
+      "version": "2.0.21",
      "dependencies": {
        "@effect/platform-node": "catalog:",
        "@effect/platform-node-shared": "catalog:",
@@ -765,7 +765,7 @@
    },
    "packages/session-ui": {
      "name": "@opencode/session-ui",
-      "version": "2.0.23",
+      "version": "2.0.21",
      "dependencies": {
        "@kobalte/core": "catalog:",
        "@opencode/client": "workspace:*",
@@ -800,7 +800,7 @@
    },
    "packages/simulation": {
      "name": "@opencode/simulation",
-      "version": "2.0.23",
+      "version": "2.0.21",
      "dependencies": {
        "@opencode/ai": "workspace:*",
        "@opencode/core": "workspace:*",
@@ -820,7 +820,7 @@
    },
    "packages/stats/app": {
      "name": "@opencode/stats-app",
-      "version": "2.0.23",
+      "version": "2.0.21",
      "dependencies": {
        "@ibm/plex": "6.4.1",
        "@kobalte/core": "catalog:",
@@ -854,7 +854,7 @@
    },
    "packages/stats/core": {
      "name": "@opencode/stats-core",
-      "version": "2.0.23",
+      "version": "2.0.21",
      "dependencies": {
        "@aws-sdk/client-athena": "3.933.0",
        "@planetscale/database": "1.19.0",
@@ -873,7 +873,7 @@
    },
    "packages/stats/server": {
      "name": "@opencode/stats-server",
-      "version": "2.0.23",
+      "version": "2.0.21",
      "dependencies": {
        "@aws-sdk/client-firehose": "3.933.0",
        "@effect/platform-node": "catalog:",
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@@ -933,7 +933,7 @@
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@@ -967,7 +967,7 @@
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+    "venice-ai-sdk-provider/@ai-sdk/openai-compatible/@ai-sdk/provider": ["@ai-sdk/provider@3.0.15", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-XeZW1CcDF2GMbH4wejW6xBRI2QCOgnkVYUnxoeDadB1mf85riL2bMUeDoh+6gJ/r4mjNfzUPW8OjLjvwTP0u1Q=="],
+
+    "venice-ai-sdk-provider/@ai-sdk/openai-compatible/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.46", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8", "undici": "^6.28.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-tEtld97plCFiYevsJuOkGkeuhQndeMWFBVrJS4AjnbD5AqrNSXRCe0p+BZ3Cju/sxDeeZ9ym3q9YUV8fASA7aQ=="],
+
    "vitest/@vitest/expect/chai": ["chai@6.2.2", "", {}, "sha512-NUPRluOfOiTKBKvWPtSD4PhFvWCqOi0BGStNWs57X9js7XGTprSmFoz5F0tWhR4WPjNeR9jXqdC7/UpSJTnlRg=="],

    "vscode-languageserver/vscode-languageserver-protocol/vscode-jsonrpc": ["vscode-jsonrpc@8.2.0", "", {}, "sha512-C+r0eKJUIfiDIfwJhria30+TYWPtuHJXHtI7J0YlOmKAo7ogxP20T0zxB7HZQIFhIyvoBPwWskjxrvAtfjyZfA=="],
@@ -8414,6 +8438,8 @@

    "tw-to-css/tailwindcss/chokidar/readdirp": ["readdirp@3.6.0", "", { "dependencies": { "picomatch": "^2.2.1" } }, "sha512-hOS089on8RduqdbhvQ5Z37A0ESjsqz6qnRcffsMU3495FuTdqSm+7bhJ29JvIOsBDEEnan5DPu9t3To9VRlMzA=="],

+    "venice-ai-sdk-provider/@ai-sdk/openai-compatible/@ai-sdk/provider-utils/undici": ["undici@6.28.0", "", {}, "sha512-LIY910g9TI13YS95lrMFrs8Rm/u/irgHeTWoKCoteeJ04CUJ92eEfj0rVn+7VKMPBpUPiUoBKfhNyLI23EE/KA=="],
+
    "yargs/string-width/strip-ansi/ansi-regex": ["ansi-regex@5.0.1", "", {}, "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ=="],

    "@astrojs/cloudflare/@cloudflare/vite-plugin/miniflare/sharp/@img/sharp-darwin-arm64": ["@img/sharp-darwin-arm64@0.35.2", "", { "optionalDependencies": { "@img/sharp-libvips-darwin-arm64": "1.3.1" }, "os": "darwin", "cpu": "arm64" }, "sha512-eEieHsMksAW4IiO5NzauESRl2D2qz3J/kwUxUrSfV06A93eEaRfMpHXyUb1mAqrR7i8U9A0GRqE9pjn6u1Jjpg=="],
@@ -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";
@@ -40,8 +35,6 @@ stdenv.mkDerivation (finalAttrs: {
    copyDesktopItems
  ]
  ++ lib.optionals stdenv.hostPlatform.isDarwin [
-    darwin.cctools
-    darwin.sigtool
    # Ad-hoc sign the .app: --config.mac.identity=null below skips signing.
    darwin.autoSignDarwinBinariesHook
  ];
@@ -73,7 +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 \
@@ -81,7 +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

@@ -97,15 +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 \
@@ -153,13 +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 +1,12 @@
-{ 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";
+  # fetchzip hashes the unpacked headers, not the release tarball.
+  headers = "sha256-4eUy3BZVvxTl7KUOsxio7769lL6ag/ecbeK+qLURWMI=";
+}
@@ -1,7 +1,7 @@
 {
  "nodeModules": {
-    "x86_64-linux": "sha256-4AqU8dPEwo0ukoyEX1SuDVzsXQ7G/fIPnxoL400zH4M=",
-    "aarch64-linux": "sha256-p75sJYtR8a4oVKb1+Dgp8Kl+1onSmUw5NRv95bbV1+E=",
-    "aarch64-darwin": "sha256-Psyvbw/lGulysQlhK/MqcHVIwx2aCDTr+Pfr+gRWsG4="
+    "x86_64-linux": "sha256-yCdtDQsXERjfL9bJg7YXNloMBOPwFkPMFVNAzXlarBM=",
+    "aarch64-linux": "sha256-iQ1bLIszETcFoD4CENpoaDZJZF/KBKZFeTp9r7ogJ9Y=",
+    "aarch64-darwin": "sha256-G7oIrTXEFQ5iEF8KSpA4xJPw9xwqRDpbIR472iIoqC4="
  }
 }
@@ -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": "2.0.23",
+  "version": "2.0.21",
  "private": true,
  "type": "module",
  "packageManager": "bun@1.4.2",
@@ -18,8 +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 && bun script/sdk-docs.ts",
-    "lint:changed": "bun script/lint-changed.ts",
+    "lint": "oxlint && ast-grep scan -c script/ast-grep/gui-extensions/sgconfig.yml",
    "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",
@@ -27,31 +27,6 @@ Run `LLM.stream(...)` instead of `generate` when you want incremental `LLMEvent`
 `LLM.request(...)`. The event stream is provider-neutral — same shape across OpenAI Chat, OpenAI Responses,
 Anthropic Messages, Gemini, Bedrock Converse, and any OpenAI-compatible deployment.

-### Google Interactions
-
-`Google.configure({ apiKey }).interactions(modelID)` selects the Interactions API; `.model(modelID)` still selects
-GenerateContent. The package entrypoint is `@opencode/ai/providers/google/interactions`.
-
-```ts
-const model = Google.configure({ apiKey }).interactions("gemini-3.8-flash")
-const response = yield* LLM.generate({
-  model,
-  prompt: "Say hello.",
-  providerOptions: { thinkingLevel: "low", thinkingSummaries: "auto", store: true },
-})
-```
-
-Interactions supports text output, streamed function calls, native tool results, thought signatures, and multimodal
-input. Full-history replay is the default (`store: false`); implicit caching works without retained interactions.
-For server-side continuation, set `store: true` on the predecessor, read `interactionId` from the final event's
-`providerMetadata.google`, and pass `previousInteractionId` on the next request with **only new messages**. Repeat
-the system instructions and tool declarations on each request. Set `store: true` on each response you intend to
-continue from. The package does not automatically select or persist continuation IDs.
-
-Raw usage is preserved in `usage.providerMetadata.google`. `inputTokens` follows Google's top-level accounting;
-`contextTokens` uses its full `raw_prompt_token` count when supplied. These can differ substantially with server-side
-continuation. Explicit caches, hosted tools, and generated media are not supported by this initial protocol.
-
 The same configured facade names image, video, speech, and transcription models. `Image.generate` resolves the
 provider's image route from the model and returns `Media.Asset`s with lazily decoded bytes:

@@ -106,41 +81,6 @@ for await (const event of ai.llm.stream(ai.llm.request(input))) {
 await ai.dispose()
 ```

-## Venice AI
-
-`Venice` provides native Chat Completions with streaming tools and reasoning. `model` and `chat`
-select the same API; credentials default to `VENICE_API_KEY`.
-
-```ts
-import { LLM } from "@opencode/ai"
-import { Venice } from "@opencode/ai/providers"
-import { Effect } from "effect"
-
-const program = Effect.gen(function* () {
-  const response = yield* LLM.generate({
-    model: Venice.configure({ apiKey: process.env.VENICE_API_KEY }).chat("qwen3-6-27b"),
-    prompt: "Explain this design.",
-    providerOptions: {
-      reasoningEffort: "high",
-      veniceParameters: { includeVeniceSystemPrompt: false },
-    },
-  })
-  console.log(response.text)
-})
-```
-
-Effort lowers to `reasoning.effort`; `reasoning.enabled` and `reasoning.summary` are also available.
-Supported effort levels and toggles depend on the selected model. Omitted controls preserve its defaults.
-Venice's added system prompt is disabled by default, matching the previous OpenCode Venice SDK behavior.
-
-Replay complete `response.message` values to retain signed/encrypted reasoning and Gemini thought
-signatures, including per-tool signatures. Venice's encrypted scalar trailers are excluded from visible
-reasoning but retained in provider metadata for replay. Cache affinity uses `promptCacheKey`, and cache-write
-usage reads Venice's `cache_creation_input_tokens` field.
-
-The native package entrypoint is `@opencode/ai/providers/venice`. Image generation, embeddings, Responses, and
-client-side E2EE are not implemented by this provider.
-
 ## Experimental evaluation

 Evaluation models compare shared state with typed choice, score, and boolean questions. The API is
@@ -1283,7 +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": "2.0.23",
+  "version": "2.0.21",
  "name": "@opencode/ai",
  "type": "module",
  "license": "MIT",
@@ -38,11 +38,9 @@ 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",
-  "bedrock-mantle-messages",
  "cloudflare-ai-gateway-messages",
  "google-vertex-messages",
  "meta-messages",
@@ -51,18 +49,16 @@ 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
+  if (id.startsWith("qwen/")) return { system: true, messages: { tail: 1 } }
  return NONE
 }

@@ -174,11 +170,7 @@ export const applyCachePolicy = (request: LLMRequest): LLMRequest => {
  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)
+      : 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:
@@ -1,7 +1,7 @@
 import { Effect, Schema } from "effect"
 import { Protocol } from "../route/protocol.js"
 import { OpenResponses } from "./open-responses.js"
-import { JsonObject, ProviderShared } from "./shared.js"
+import { JsonObject, optionalArray, ProviderShared } from "./shared.js"
 import { OpenResponsesOptions } from "./utils/open-responses-options.js"
 import { ResponsesHostedTools } from "./utils/responses-hosted-tools.js"

@@ -25,6 +25,8 @@ const WebExtractorItem = Schema.StructWithRest(
 )
 const Body = Schema.Struct({
  ...OpenResponses.coreFields,
+  input: Schema.Array(Schema.Union([OpenResponses.InputItem, WebExtractorItem])),
+  tools: optionalArray(Schema.Union([OpenResponses.Tool, NativeTool])),
  enable_thinking: Options.fields.enableThinking,
  previous_response_id: Options.fields.previousResponseId,
  conversation: Options.fields.conversation,
@@ -50,7 +52,7 @@ export const protocol = Protocol.make({
      const opts = yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(Options))(req.providerOptions ?? {})
      const body = yield* OpenResponses.fromRequestWithAdapter(req, adapter)
      const choice = body.tool_choice
-      return {
+      return yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(Body))({
        ...body,
        enable_thinking: opts.enableThinking,
        previous_response_id: opts.previousResponseId,
@@ -60,7 +62,7 @@ export const protocol = Protocol.make({
          typeof choice === "object" && choice.type === "function"
            ? { type: "allowed_tools" as const, mode: "required" as const, tools: [choice] }
            : choice,
-      }
+      })
    }),
  },
  stream: {
@@ -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)
@@ -584,7 +581,10 @@ const serverToolResultType = (name: string): AnthropicServerToolResultType | und
  return undefined
 }

-const lowerServerToolResult = Effect.fnUntraced(function* (part: ToolResultPart, providerMetadataKey: string) {
+const lowerServerToolResult = Effect.fn("AnthropicMessages.lowerServerToolResult")(function* (
+  part: ToolResultPart,
+  providerMetadataKey: string,
+) {
  const wireType = serverToolResultType(part.name)
  if (!wireType)
    return yield* invalid(`Anthropic Messages does not know how to round-trip server tool result for ${part.name}`)
@@ -654,7 +654,10 @@ const citationsFromMetadata = (metadata: MediaPart["metadata"]): AnthropicDocume

 const isHttpUrl = (value: string) => /^https?:\/\//i.test(value.trim())

-const lowerMedia = Effect.fnUntraced(function* (part: MediaPart, breakpoints?: Cache.Breakpoints) {
+const lowerMedia = Effect.fn("AnthropicMessages.lowerMedia")(function* (
+  part: MediaPart,
+  breakpoints?: Cache.Breakpoints,
+) {
  const mime = part.media.mediaType.toLowerCase()
  const cacheControlValue = breakpoints ? cacheControl(breakpoints, part.cache) : undefined
  const fileId = fileIdFromMetadata(part.metadata)
@@ -798,17 +801,39 @@ const requireThinkingSignature = (request: LLMRequest) => {
  return true
 }

-// Opus 4.8 and every Claude 5 model accept mid-conversation system messages; later versions inherit support.
+// 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.
 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
 }

-// Native system messages must follow a user turn (tool results count) or a paused server-tool turn.
-const acceptsNativeSystemAfter = (message: AnthropicMessage | undefined) =>
-  message?.role === "user" || (message?.role === "assistant" && message.content.at(-1)?.type === "server_tool_use")
+const endsInServerToolUse = (message: LLMRequest["messages"][number]) => {
+  const last = message.content.at(-1)
+  return message.role === "assistant" && last?.type === "tool-call" && last.providerExecuted === true
+}
+
+const canUseNativeSystemUpdate = (request: LLMRequest, index: number) => {
+  const previous = request.messages[index - 1]
+  const next = request.messages[index + 1]
+  // Vertex currently rejects/404s for a system message after local tool results,
+  // so fold it into the user tool-result turn across continuations and history.
+  if (request.model.route.id === "google-vertex-messages" && previous?.role === "tool") return false
+  return (
+    previous !== undefined &&
+    previous.role !== "system" &&
+    (previous.role === "user" || previous.role === "tool" || endsInServerToolUse(previous)) &&
+    next?.role !== "system" &&
+    (next === undefined || next.role === "assistant")
+  )
+}

 const splitsLocalToolResults = (messages: LLMRequest["messages"], index: number) => {
  const pending = new Set<string>()
@@ -822,7 +847,7 @@ const splitsLocalToolResults = (messages: LLMRequest["messages"], index: number)
  return pending.size > 0
 }

-const lowerNativeSystemUpdate = Effect.fnUntraced(function* (
+const lowerNativeSystemUpdate = Effect.fn("AnthropicMessages.lowerNativeSystemUpdate")(function* (
  message: LLMRequest["messages"][number],
  breakpoints: Cache.Breakpoints,
 ) {
@@ -837,34 +862,12 @@ const lowerNativeSystemUpdate = Effect.fnUntraced(function* (
  }
 })

-const lowerWrappedSystemUpdate = Effect.fnUntraced(function* (
-  message: LLMRequest["messages"][number],
+const lowerMessages = Effect.fn("AnthropicMessages.lowerMessages")(function* (
+  request: LLMRequest,
  breakpoints: Cache.Breakpoints,
 ) {
-  const part = yield* ProviderShared.wrappedSystemUpdate("Anthropic Messages", message)
-  return { type: "text" as const, text: part.text, cache_control: cacheControl(breakpoints, part.cache) }
-})
-
-const appendToUserTurn = (messages: AnthropicMessage[], block: AnthropicUserBlock) => {
-  const last = messages.at(-1)
-  if (last?.role === "user") messages[messages.length - 1] = { role: "user", content: [...last.content, block] }
-  else messages.push({ role: "user", content: [block] })
-}
-
-const lowerMessages = Effect.fnUntraced(function* (request: LLMRequest, breakpoints: Cache.Breakpoints) {
  const messages: AnthropicMessage[] = []
  const providerMetadataKey = request.model.route.providerMetadataKey ?? String(request.model.provider)
-  // Text updates stay where they are unless a user turn follows them; then they move after the latest
-  // user turn, the nearest spot where Anthropic accepts a native system message.
-  const holdUpdates = supportsNativeSystemUpdates(request)
-  const held: Array<LLMRequest["messages"][number]> = []
-  const releaseHeld = Effect.fnUntraced(function* () {
-    const native = acceptsNativeSystemAfter(messages.findLast((message) => message.role !== "system"))
-    for (const update of held.splice(0)) {
-      if (native) messages.push(yield* lowerNativeSystemUpdate(update, breakpoints))
-      else appendToUserTurn(messages, yield* lowerWrappedSystemUpdate(update, breakpoints))
-    }
-  })

  for (const [index, message] of request.messages.entries()) {
    if (message.role === "system") {
@@ -876,8 +879,16 @@ const lowerMessages = Effect.fnUntraced(function* (request: LLMRequest, breakpoi
      }
      if (splitsLocalToolResults(request.messages, index))
        return yield* invalid("Anthropic Messages system updates cannot split a local tool call from its tool result")
-      if (holdUpdates) held.push(message)
-      else appendToUserTurn(messages, yield* lowerWrappedSystemUpdate(message, breakpoints))
+      if (supportsNativeSystemUpdates(request) && canUseNativeSystemUpdate(request, index)) {
+        messages.push(yield* lowerNativeSystemUpdate(message, breakpoints))
+        continue
+      }
+      const part = yield* ProviderShared.wrappedSystemUpdate("Anthropic Messages", message)
+      const block = { type: "text" as const, text: part.text, cache_control: cacheControl(breakpoints, part.cache) }
+      const previous = messages.at(-1)
+      if (previous?.role === "user")
+        messages[messages.length - 1] = { role: "user", content: [...previous.content, block] }
+      else messages.push({ role: "user", content: [block] })
      continue
    }

@@ -953,9 +964,7 @@ const lowerMessages = Effect.fnUntraced(function* (request: LLMRequest, breakpoi
          `Anthropic Messages assistant messages only support text, reasoning, and tool-call content for now`,
        )
      }
-      if (content.length === 0) continue
-      yield* releaseHeld()
-      messages.push({ role: "assistant", content })
+      if (content.length > 0) messages.push({ role: "assistant", content })
      continue
    }

@@ -976,21 +985,17 @@ const lowerMessages = Effect.fnUntraced(function* (request: LLMRequest, breakpoi
      messages[messages.length - 1] = { role: "user", content: [...previous.content, ...content] }
    else messages.push({ role: "user", content })
  }
-  yield* releaseHeld()

  return messages
 })

-// TODO: Move per-model capability heuristics (`supportsEffortUpdates`, `supportsNativeSystemUpdates`,
-// `supportsThinkingBlockBinding`) into explicit model/provider `compatibility` metadata so the protocol
-// only reads `request.model.compatibility`.
-// 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)
 }

@@ -1295,7 +1300,7 @@ const onContentBlockStart = (
  return [{ ...state, lifecycle: Lifecycle.stepStart(state.lifecycle, events) }, [...events, result]]
 }

-const onContentBlockDelta = Effect.fnUntraced(function* (
+const onContentBlockDelta = Effect.fn("AnthropicMessages.onContentBlockDelta")(function* (
  state: ParserState,
  event: AnthropicEvent & { readonly delta: AnthropicStreamDelta },
 ) {
@@ -1363,7 +1368,7 @@ const onContentBlockDelta = Effect.fnUntraced(function* (
  return [state, NO_EVENTS] satisfies StepResult
 })

-const onContentBlockStop = Effect.fnUntraced(function* (
+const onContentBlockStop = Effect.fn("AnthropicMessages.onContentBlockStop")(function* (
  state: ParserState,
  event: AnthropicEvent,
 ) {
@@ -1412,14 +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,
    }
@@ -1434,7 +1435,7 @@ const onMessageDelta = (
  ]
 }

-const onMessageStop = Effect.fnUntraced(function* (state: ParserState) {
+const onMessageStop = Effect.fn("AnthropicMessages.onMessageStop")(function* (state: ParserState) {
  if (Object.keys(state.compactions).length)
    return yield* ProviderShared.eventError(ADAPTER, "Response ended with an incomplete compaction block")
  const result = yield* ToolStream.finishAll(ADAPTER, state.tools)
@@ -285,7 +285,7 @@ const lowerToolCall = (part: ToolCallPart, normalizeID: (id: string) => string):
  },
 })

-const lowerToolResultContent = Effect.fnUntraced(function* (
+const lowerToolResultContent = Effect.fn("BedrockConverse.lowerToolResultContent")(function* (
  part: ToolResultPart,
  documentNames: Set<string>,
 ) {
@@ -305,7 +305,7 @@ const lowerToolResultContent = Effect.fnUntraced(function* (
  return content
 })

-const lowerToolResult = Effect.fnUntraced(function* (
+const lowerToolResult = Effect.fn("BedrockConverse.lowerToolResult")(function* (
  part: ToolResultPart,
  documentNames: Set<string>,
  normalizeID: (id: string) => string,
@@ -319,10 +319,7 @@ const lowerToolResult = Effect.fnUntraced(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.fnUntraced(function* (
+const lowerMessages = Effect.fn("BedrockConverse.lowerMessages")(function* (
  request: LLMRequest,
  breakpoints: BedrockCache.Breakpoints,
 ) {
@@ -331,19 +328,8 @@ const lowerMessages = Effect.fnUntraced(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.fnUntraced(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.fnUntraced(function* (
    else messages.push({ role: "user", content })
  }

-  flushImages()
  return messages
 })

@@ -75,7 +75,7 @@ const usesSse = (request: MediaProtocol.Addressed<Request>) => request.mode ===

 const CONTAINERS: Readonly<Record<string, "raw" | "wav" | "mp3">> = { pcm: "raw", wav: "wav", mp3: "mp3" }

-const outputFormat = Effect.fnUntraced(function* (request: MediaProtocol.Addressed<Request>) {
+const outputFormat = Effect.fn("CartesiaSpeech.outputFormat")(function* (request: MediaProtocol.Addressed<Request>) {
  const sse = usesSse(request)
  const format = request.format ?? (sse ? "pcm" : "mp3")
  const container = CONTAINERS[format]
@@ -121,7 +121,7 @@ const fromRequest = Effect.fn("CartesiaSpeech.fromRequest")(function* (request:
 // 6. Stream parsing
 // ---------------------------------------------------------------------------

-const onEvent = Effect.fnUntraced(function* (state: State, frame: string) {
+const onEvent = Effect.fn("CartesiaSpeech.onEvent")(function* (state: State, frame: string) {
  const event = yield* decodeEvent(frame)
  if (event.type === "chunk" && event.data !== undefined) return SpeechStream.delta(state, event.data)
  if (event.type === "timestamps" && event.word_timestamps !== undefined) {
@@ -140,7 +140,7 @@ const onEvent = Effect.fnUntraced(function* (state: State, frame: string) {
  return [state, []] as const
 })

-const finish = Effect.fnUntraced(function* (
+const finish = Effect.fn("CartesiaSpeech.finish")(function* (
  state: State,
  context: MediaProtocol.ResponseContext<Request>,
 ) {
@@ -1,334 +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:
-            request.system.length === 1
-              ? request.system[0].text
-              : request.system.map((part) => ({ type: "text", text: part.text })),
-        },
-      ]
-    : []
-  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.fnUntraced(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"
@@ -95,7 +95,7 @@ const OUTPUT_FORMATS: Readonly<Record<string, string>> = {
 }

 /** WAV is served only by the non-streaming endpoints. */
-const outputFormat = Effect.fnUntraced(function* (request: MediaProtocol.Addressed<Request>) {
+const outputFormat = Effect.fn("ElevenLabsSpeech.outputFormat")(function* (request: MediaProtocol.Addressed<Request>) {
  const format = request.providerOptions?.outputFormat ?? OUTPUT_FORMATS[request.format ?? "mp3"]
  if (format === undefined)
    return yield* route.unsupported(
@@ -138,7 +138,7 @@ const path = (request: MediaProtocol.Addressed<Request>) =>
 // 6. Stream parsing
 // ---------------------------------------------------------------------------

-const onRecord = Effect.fnUntraced(function* (state: State, frame: string) {
+const onRecord = Effect.fn("ElevenLabsSpeech.onRecord")(function* (state: State, frame: string) {
  const record = yield* decodeRecord(frame)
  const [next, events] = SpeechStream.delta(state, record.audio_base64)
  const alignment = record.alignment
@@ -169,7 +169,7 @@ const describeOutput = (format: string) => {
  return encoding === undefined ? SpeechStream.container(codec, sampleRate) : SpeechStream.pcm(encoding, sampleRate)
 }

-const finish = Effect.fnUntraced(function* (
+const finish = Effect.fn("ElevenLabsSpeech.finish")(function* (
  state: State,
  context: MediaProtocol.ResponseContext<Request>,
 ) {
@@ -283,7 +283,7 @@ const lowerToolConfig = (toolChoice: NonNullable<LLMRequest["toolChoice"]>) =>
    tool: (name) => ({ functionCallingConfig: { mode: "ANY" as const, allowedFunctionNames: [name] } }),
  })

-const lowerContentPart = Effect.fnUntraced(function* (part: TextPart | MediaPart) {
+const lowerContentPart = Effect.fn("Gemini.lowerContentPart")(function* (part: TextPart | MediaPart) {
  if (part.type === "text") return { text: part.text }
  return yield* GeminiGenerateContent.mediaPart("Gemini", part.media)
 })
@@ -302,7 +302,7 @@ const lowerToolCall = (part: ToolCallPart, omitIds: boolean, metadataKey: string
  thoughtSignature: thoughtSignature(part.providerMetadata, metadataKey),
 })

-const lowerMessages = Effect.fnUntraced(function* (request: LLMRequest) {
+const lowerMessages = Effect.fn("Gemini.lowerMessages")(function* (request: LLMRequest) {
  const contents: GeminiContent[] = []
  const metadataKey = request.model.route.providerMetadataKey ?? String(request.model.provider)
  const omitCallIds = omitsFunctionCallIds(request.model.id)
@@ -475,7 +475,7 @@ const fromRequest = Effect.fn("Gemini.fromRequest")(function* (request: LLMReque
    safetySettings: options.safetySettings,
    serviceTier: options.serviceTier,
    systemInstruction:
-      request.system.length === 0 ? undefined : { parts: request.system.map((part) => ({ text: part.text })) },
+      request.system.length === 0 ? undefined : { parts: [{ text: ProviderShared.joinText(request.system) }] },
    tools: hasTools
      ? [
          {
@@ -1,561 +0,0 @@
-import { Effect, Schema } from "effect"
-import { Route } from "../route/client.js"
-import { Auth } from "../route/auth.js"
-import { Endpoint } from "../route/endpoint.js"
-import { Framing } from "../route/framing.js"
-import { Protocol } from "../route/protocol.js"
-import {
-  AIError,
-  LLMEvent,
-  ProviderID,
-  Usage,
-  type LLMRequest,
-  type ProviderMetadata,
-  type ToolResultPart,
-} from "../schema/index.js"
-import { Media } from "../media.js"
-import { classifyProviderFailure, providerErrorMessage } from "../provider-error.js"
-import { encodeJson } from "../utils/json.js"
-import { JsonObject, knownString, lenient, optionalNull, ProviderShared } from "./shared.js"
-import { Lifecycle } from "./utils/lifecycle.js"
-import { MediaInput } from "./utils/media-input.js"
-import { ToolStream } from "./utils/tool-stream.js"
-
-const ADAPTER = "google-interactions"
-export const DEFAULT_BASE_URL = "https://generativelanguage.googleapis.com/v1beta"
-
-// =============================================================================
-// Public Model Input
-// =============================================================================
-const ThinkingLevel = knownString<"minimal" | "low" | "medium" | "high">()
-const Options = Schema.Struct({
-  previousInteractionId: lenient(Schema.String),
-  store: lenient(Schema.Boolean),
-  thinkingLevel: lenient(ThinkingLevel),
-  thinkingSummaries: lenient(knownString<"auto" | "none">()),
-  serviceTier: lenient(knownString<"standard" | "flex" | "priority">()),
-})
-export type OptionsInput = typeof Options.Encoded
-export type ProviderOptionsInput = OptionsInput
-const decodeOptions = ProviderShared.validateWith(Schema.decodeUnknownEffect(Options))
-
-// =============================================================================
-// Request Body Schema
-// =============================================================================
-const Text = Schema.Struct({ type: Schema.Literal("text"), text: Schema.String })
-const MediaContent = Schema.Struct({
-  type: Schema.Literals(["image", "audio", "video", "document"]),
-  data: Schema.optional(Schema.String),
-  uri: Schema.optional(Schema.String),
-  mime_type: Schema.String,
-})
-const Content = Schema.Union([Text, MediaContent])
-const InputStep = Schema.Union([
-  Schema.Struct({ type: Schema.Literals(["user_input", "model_output"]), content: Schema.Array(Content) }),
-  Schema.Struct({
-    type: Schema.Literal("thought"),
-    signature: Schema.optional(Schema.String),
-    summary: Schema.optional(Schema.Array(Text)),
-  }),
-  Schema.Struct({
-    type: Schema.Literal("function_call"),
-    id: Schema.String,
-    name: Schema.String,
-    arguments: Schema.Unknown,
-    signature: Schema.optional(Schema.String),
-  }),
-  Schema.Struct({
-    type: Schema.Literal("function_result"),
-    call_id: Schema.String,
-    name: Schema.String,
-    result: Schema.Unknown,
-    is_error: Schema.optional(Schema.Boolean),
-  }),
-])
-type InputStep = typeof InputStep.Type
-const ToolChoice = Schema.Union([
-  Schema.Literals(["auto", "any", "none"]),
-  Schema.Struct({ allowed_tools: Schema.Struct({ mode: Schema.Literal("any"), tools: Schema.Array(Schema.String) }) }),
-])
-const Body = Schema.Struct({
-  model: Schema.String,
-  input: Schema.Array(InputStep),
-  stream: Schema.Literal(true),
-  store: Schema.Boolean,
-  previous_interaction_id: Schema.optional(Schema.String),
-  system_instruction: Schema.optional(Schema.String),
-  service_tier: Schema.optional(Schema.String),
-  tools: Schema.optional(
-    Schema.Array(
-      Schema.Struct({
-        type: Schema.Literal("function"),
-        name: Schema.String,
-        description: Schema.String,
-        parameters: JsonObject,
-      }),
-    ),
-  ),
-  generation_config: Schema.Struct({
-    max_output_tokens: Schema.optional(Schema.Number),
-    temperature: Schema.optional(Schema.Number),
-    top_p: Schema.optional(Schema.Number),
-    seed: Schema.optional(Schema.Number),
-    stop_sequences: Schema.optional(Schema.Array(Schema.String)),
-    thinking_level: Schema.optional(ThinkingLevel),
-    thinking_summaries: Schema.optional(Schema.String),
-    tool_choice: Schema.optional(ToolChoice),
-  }),
-})
-
-// =============================================================================
-// Streaming Event Schema
-// =============================================================================
-const RawUsage = Schema.StructWithRest(
-  Schema.Struct({
-    total_input_tokens: optionalNull(Schema.Number),
-    total_cached_tokens: optionalNull(Schema.Number),
-    total_output_tokens: optionalNull(Schema.Number),
-    total_thought_tokens: optionalNull(Schema.Number),
-    total_tokens: optionalNull(Schema.Number),
-    raw_prompt_token: optionalNull(Schema.Number),
-  }),
-  [Schema.Record(Schema.String, Schema.Unknown)],
-)
-type RawUsage = typeof RawUsage.Type
-const OutputStep = Schema.Struct({
-  type: Schema.String,
-  id: Schema.optional(Schema.String),
-  name: Schema.optional(Schema.String),
-  arguments: Schema.optional(JsonObject),
-  signature: Schema.optional(Schema.String),
-  summary: Schema.optional(Schema.Array(Text)),
-  content: Schema.optional(Schema.Array(Schema.Struct({ type: Schema.String, text: Schema.optional(Schema.String) }))),
-})
-type OutputStep = typeof OutputStep.Type
-const Delta = Schema.Union([
-  Schema.Struct({ type: Schema.Literal("text"), text: Schema.String }),
-  Schema.Struct({ type: Schema.Literal("arguments_delta"), arguments: Schema.String }),
-  Schema.Struct({ type: Schema.Literal("thought_signature"), signature: Schema.String }),
-  Schema.Struct({ type: Schema.Literal("thought_summary"), content: Text }),
-  // Unknown output modalities must fail explicitly rather than disappearing from a successful response.
-  Schema.Struct({ type: Schema.String }),
-])
-const Interaction = Schema.StructWithRest(
-  Schema.Struct({
-    id: Schema.optional(Schema.String),
-    status: Schema.String,
-    usage: Schema.optional(RawUsage),
-  }),
-  [Schema.Record(Schema.String, Schema.Unknown)],
-)
-const Event = Schema.Union([
-  Schema.Struct({ event_type: Schema.Literal("step.start"), index: Schema.Number, step: OutputStep }),
-  Schema.Struct({ event_type: Schema.Literal("step.delta"), index: Schema.Number, delta: Delta }),
-  Schema.Struct({ event_type: Schema.Literal("step.stop"), index: Schema.Number }),
-  Schema.Struct({
-    event_type: Schema.Literal("interaction.created"),
-    interaction: Schema.Struct({ id: Schema.optional(Schema.String) }),
-  }),
-  Schema.Struct({
-    event_type: Schema.Literal("interaction.status_update"),
-    interaction_id: Schema.optional(Schema.String),
-    status: Schema.String,
-  }),
-  Schema.Struct({ event_type: Schema.Literal("interaction.completed"), interaction: Interaction }),
-  Schema.Struct({ event_type: Schema.Literal("error"), error: Schema.Unknown }),
-])
-type Event = typeof Event.Type
-
-// =============================================================================
-// Parser State
-// =============================================================================
-interface ParserState {
-  readonly route: string
-  readonly metadataKey: string
-  readonly lifecycle: Lifecycle.State
-  readonly steps: Partial<Record<number, OutputStep>>
-  readonly tools: ToolStream.State<number>
-  readonly completed: boolean
-}
-type StepResult = readonly [ParserState, ReadonlyArray<LLMEvent>]
-
-// =============================================================================
-// Request Body Construction
-// =============================================================================
-const mediaContent = Effect.fnUntraced(function* (asset: Media.Asset) {
-  if (
-    asset.kind !== "image" &&
-    asset.kind !== "audio" &&
-    asset.kind !== "video" &&
-    asset.mediaType !== "application/pdf" &&
-    asset.mediaType !== "text/csv"
-  )
-    return yield* ProviderShared.invalidRequest(
-      `Google Interactions does not support ${asset.mediaType} document input`,
-    )
-  const type: (typeof MediaContent.Type)["type"] =
-    asset.kind === "image" || asset.kind === "audio" || asset.kind === "video" ? asset.kind : "document"
-  const uri = MediaInput.refID(asset, ProviderID.make("google"))
-  if (uri !== undefined) return { type, uri, mime_type: asset.mediaType }
-  const inline = yield* ProviderShared.requireInlineMedia("Google Interactions", asset)
-  return { type, data: inline.base64, mime_type: inline.mime }
-})
-
-const signature = (metadata: ProviderMetadata | undefined, key: string) => {
-  const value = metadata?.[key]
-  return ProviderShared.isRecord(value) && typeof value.interactionSignature === "string"
-    ? value.interactionSignature
-    : undefined
-}
-
-const lowerMessages = Effect.fnUntraced(function* (request: LLMRequest) {
-  const steps: InputStep[] = []
-  const key = request.model.route.providerMetadataKey ?? String(request.model.provider)
-  for (const message of request.messages) {
-    if (message.role === "system") {
-      const part = yield* ProviderShared.wrappedSystemUpdate("Google Interactions", message)
-      steps.push({ type: "user_input", content: [{ type: "text", text: part.text }] })
-      continue
-    }
-    const start = steps.length
-    // Consecutive ordinary content remains one native message; tools and thoughts retain their chronology.
-    const append = (content: typeof Content.Type) => {
-      const type = message.role === "assistant" ? "model_output" : "user_input"
-      const last = steps.at(-1)
-      if (steps.length > start && last?.type === type)
-        steps[steps.length - 1] = { type, content: [...last.content, content] }
-      else steps.push({ type, content: [content] })
-    }
-    for (const part of message.content) {
-      if (message.role === "tool") {
-        if (part.type !== "tool-result")
-          return yield* ProviderShared.unsupportedContent(ADAPTER, "tool", ["tool-result"])
-        steps.push({
-          type: "function_result",
-          call_id: part.id,
-          name: part.name,
-          result: yield* lowerToolResult(part),
-          is_error: part.result.type === "error" || undefined,
-        })
-        continue
-      }
-      if (part.type === "text") {
-        append({ type: "text", text: part.text })
-        continue
-      }
-      if (part.type === "media") {
-        append(yield* mediaContent(part.media))
-        continue
-      }
-      if (message.role === "assistant" && part.type === "reasoning") {
-        steps.push({
-          type: "thought",
-          signature: signature(part.providerMetadata, key),
-          summary: part.text ? [{ type: "text", text: part.text }] : undefined,
-        })
-        continue
-      }
-      if (message.role === "assistant" && part.type === "tool-call") {
-        steps.push({
-          type: "function_call",
-          id: part.id,
-          name: part.name,
-          arguments: part.input,
-          signature: signature(part.providerMetadata, key),
-        })
-        continue
-      }
-      return yield* ProviderShared.unsupportedContent(
-        ADAPTER,
-        message.role,
-        message.role === "user" ? ["text", "media"] : ["text", "media", "reasoning", "tool-call"],
-      )
-    }
-  }
-  return steps
-})
-
-const lowerToolResult = Effect.fnUntraced(function* (part: ToolResultPart) {
-  if (part.result.type === "json" && ProviderShared.isRecord(part.result.value)) return part.result.value
-  if (part.result.type !== "content") return ProviderShared.toolResultText(part)
-
-  return yield* Effect.forEach(part.result.value, (item): Effect.Effect<typeof Content.Type, AIError> => {
-    if (item.type === "text") return Effect.succeed({ type: "text", text: item.text })
-    return mediaContent(ProviderShared.toolFileMedia(item).media)
-  })
-})
-
-const fromRequest = Effect.fn("GoogleInteractions.fromRequest")(function* (request: LLMRequest) {
-  const options = yield* decodeOptions(request.providerOptions ?? {})
-  const flattened = ProviderShared.flattenToolRequest(request)
-  if (flattened.tools.some((tool) => tool.native !== undefined))
-    return yield* ProviderShared.invalidRequest("Google Interactions hosted tools are not supported")
-  if (
-    request.generation?.topK !== undefined ||
-    request.generation?.frequencyPenalty !== undefined ||
-    request.generation?.presencePenalty !== undefined
-  )
-    return yield* ProviderShared.invalidRequest(
-      "Google Interactions does not support topK, frequencyPenalty, or presencePenalty",
-    )
-  const choice =
-    request.toolChoice === undefined
-      ? undefined
-      : yield* ProviderShared.matchToolChoice(ADAPTER, request.toolChoice, {
-          auto: () => "auto" as const,
-          none: () => "none" as const,
-          required: () => "any" as const,
-          tool: (name) => ({ allowed_tools: { mode: "any" as const, tools: [name] } }),
-        })
-  return {
-    model: request.model.id,
-    input: yield* lowerMessages(flattened.request),
-    stream: true as const,
-    // Full-history replay need not create retained provider resources. Continuation callers opt in to storage.
-    store: options.store ?? false,
-    previous_interaction_id: options.previousInteractionId,
-    system_instruction: request.system.length ? ProviderShared.joinText(request.system) : undefined,
-    service_tier: options.serviceTier,
-    tools: flattened.tools.length
-      ? flattened.tools.map((tool) => ({
-          type: "function" as const,
-          name: tool.name,
-          description: tool.description,
-          parameters: tool.inputSchema,
-        }))
-      : undefined,
-    generation_config: {
-      max_output_tokens: request.generation?.maxTokens,
-      temperature: request.generation?.temperature,
-      top_p: request.generation?.topP,
-      seed: request.generation?.seed,
-      stop_sequences: request.generation?.stop,
-      thinking_level: options.thinkingLevel,
-      thinking_summaries: options.thinkingSummaries,
-      tool_choice: choice,
-    },
-  }
-})
-
-// =============================================================================
-// Stream Parsing
-// =============================================================================
-const metadata = (state: ParserState, step: OutputStep): ProviderMetadata => ({
-  [state.metadataKey]: { interactionSignature: step.signature },
-})
-const mapUsage = (usage: RawUsage | undefined, key: string) => {
-  if (!usage) return undefined
-  const input = usage.total_input_tokens ?? undefined
-  const cached = usage.total_cached_tokens ?? undefined
-  const reasoning = usage.total_thought_tokens ?? undefined
-  const output =
-    usage.total_output_tokens === undefined || usage.total_output_tokens === null
-      ? undefined
-      : usage.total_output_tokens + (reasoning ?? 0)
-  return new Usage({
-    contextTokens: usage.raw_prompt_token ?? input,
-    inputTokens: input,
-    outputTokens: output,
-    nonCachedInputTokens: ProviderShared.subtractTokens(input, cached),
-    cacheReadInputTokens: cached,
-    reasoningTokens: reasoning,
-    totalTokens: usage.total_tokens ?? undefined,
-    providerMetadata: { [key]: usage },
-  })
-}
-
-const onStart = Effect.fnUntraced(function* (
-  state: ParserState,
-  index: number,
-  step: OutputStep,
-) {
-  const events: LLMEvent[] = []
-  let lifecycle = Lifecycle.stepStart(state.lifecycle, events)
-  let tools = state.tools
-  const id = String(index)
-  if (step.type === "thought") {
-    lifecycle = Lifecycle.reasoningStart(lifecycle, events, id, metadata(state, step))
-    for (const part of step.summary ?? []) lifecycle = Lifecycle.reasoningDelta(lifecycle, events, id, part.text)
-  } else if (step.type === "model_output") {
-    lifecycle = Lifecycle.textStart(lifecycle, events, id)
-    for (const part of step.content ?? []) {
-      if (part.type !== "text")
-        return yield* ProviderShared.eventError(
-          ADAPTER,
-          `Unsupported Interactions output: ${part.type}`,
-          encodeJson(step),
-        )
-      if (part.text) lifecycle = Lifecycle.textDelta(lifecycle, events, id, part.text)
-    }
-  } else if (step.type === "function_call") {
-    if (!step.id || !step.name)
-      return yield* ProviderShared.eventError(ADAPTER, "Interactions function call lacks id or name", encodeJson(step))
-    tools = ToolStream.start(tools, index, {
-      id: step.id,
-      name: step.name,
-      providerMetadata: metadata(state, step),
-      input: step.arguments && Object.keys(step.arguments).length ? encodeJson(step.arguments) : "",
-    })
-    events.push(LLMEvent.toolInputStart({ id: step.id, name: step.name, providerMetadata: metadata(state, step) }))
-  } else
-    return yield* ProviderShared.eventError(ADAPTER, `Unsupported Interactions step: ${step.type}`, encodeJson(step))
-  return [{ ...state, lifecycle, tools, steps: { ...state.steps, [index]: step } }, events] satisfies StepResult
-})
-
-const onDelta = Effect.fnUntraced(function* (
-  state: ParserState,
-  index: number,
-  delta: typeof Delta.Type,
-) {
-  const step = state.steps[index]
-  if (!step)
-    return yield* ProviderShared.eventError(ADAPTER, "Interactions delta without step.start", encodeJson(delta))
-  const events: LLMEvent[] = []
-  if (delta.type === "text" && "text" in delta && step.type === "model_output")
-    return [
-      { ...state, lifecycle: Lifecycle.textDelta(state.lifecycle, events, String(index), delta.text) },
-      events,
-    ] satisfies StepResult
-  if (delta.type === "thought_summary" && "content" in delta && step.type === "thought")
-    return [
-      { ...state, lifecycle: Lifecycle.reasoningDelta(state.lifecycle, events, String(index), delta.content.text) },
-      events,
-    ] satisfies StepResult
-  if (delta.type === "thought_signature" && "signature" in delta) {
-    const next = { ...step, signature: delta.signature }
-    const tool = state.tools[index]
-    return [
-      {
-        ...state,
-        steps: { ...state.steps, [index]: next },
-        tools: tool ? { ...state.tools, [index]: { ...tool, providerMetadata: metadata(state, next) } } : state.tools,
-      },
-      events,
-    ] satisfies StepResult
-  }
-  if (delta.type === "arguments_delta" && "arguments" in delta && step.type === "function_call") {
-    const result = ToolStream.appendExisting(
-      ADAPTER,
-      state.tools,
-      index,
-      delta.arguments,
-      "Interactions arguments without function call",
-    )
-    if (ToolStream.isError(result)) return yield* result
-    return [{ ...state, tools: result.tools }, result.events] satisfies StepResult
-  }
-  return yield* ProviderShared.eventError(ADAPTER, `Unsupported Interactions delta: ${delta.type}`, encodeJson(delta))
-})
-
-const onStop = Effect.fnUntraced(function* (state: ParserState, index: number) {
-  const step = state.steps[index]
-  if (!step) return yield* ProviderShared.eventError(ADAPTER, "Interactions step.stop without step.start")
-  const events: LLMEvent[] = []
-  if (step.type === "thought")
-    return [
-      { ...state, lifecycle: Lifecycle.reasoningEnd(state.lifecycle, events, String(index), metadata(state, step)) },
-      events,
-    ] satisfies StepResult
-  if (step.type === "model_output")
-    return [
-      { ...state, lifecycle: Lifecycle.textEnd(state.lifecycle, events, String(index)) },
-      events,
-    ] satisfies StepResult
-  const result = yield* ToolStream.finish(ADAPTER, state.tools, index)
-  return [{ ...state, tools: result.tools }, result.events ?? []] satisfies StepResult
-})
-
-const step = Effect.fnUntraced(function* (state: ParserState, event: Event) {
-  switch (event.event_type) {
-    case "step.start":
-      return yield* onStart(state, event.index, event.step)
-    case "step.delta":
-      return yield* onDelta(state, event.index, event.delta)
-    case "step.stop":
-      return yield* onStop(state, event.index)
-    case "interaction.created":
-    case "interaction.status_update":
-      return [state, []] satisfies StepResult
-    case "error":
-      return yield* new AIError({
-        reason: classifyProviderFailure({
-          message: providerErrorMessage(encodeJson(event)) ?? "Google Interactions stream error",
-          data: event.error,
-          rawBody: encodeJson(event),
-        }),
-      })
-    case "interaction.completed": {
-      const interaction = event.interaction
-      if (interaction.status === "failed" || interaction.status === "cancelled")
-        return yield* new AIError({
-          reason: classifyProviderFailure({
-            message: `Google Interactions ${interaction.status}`,
-            data: interaction,
-            rawBody: encodeJson(event),
-          }),
-        })
-      if (!["completed", "requires_action", "incomplete"].includes(interaction.status))
-        return yield* ProviderShared.eventError(
-          ADAPTER,
-          `Unexpected terminal Interactions status: ${interaction.status}`,
-          encodeJson(event),
-        )
-      const pending = yield* ToolStream.finishAll(ADAPTER, state.tools)
-      const events = [...pending.events]
-      const lifecycle = Lifecycle.finish(state.lifecycle, events, {
-        reason: {
-          normalized:
-            interaction.status === "requires_action"
-              ? "tool-calls"
-              : interaction.status === "incomplete"
-                ? "length"
-                : "stop",
-          raw: interaction.status,
-        },
-        usage: mapUsage(interaction.usage, state.metadataKey),
-        providerMetadata: { [state.metadataKey]: { interactionId: interaction.id } },
-      })
-      return [{ ...state, lifecycle, tools: pending.tools, completed: true }, events] satisfies StepResult
-    }
-  }
-})
-
-// =============================================================================
-// Protocol And Route
-// =============================================================================
-export const protocol = Protocol.make({
-  id: ADAPTER,
-  sanitizer: "gemini",
-  body: { schema: Body, from: fromRequest },
-  stream: {
-    event: Protocol.jsonEvent(Event),
-    initial: (request): ParserState => ({
-      route: `${request.model.provider}/${ADAPTER}`,
-      metadataKey: request.model.route.providerMetadataKey ?? String(request.model.provider),
-      lifecycle: Lifecycle.initial(),
-      steps: {},
-      tools: ToolStream.empty<number>(),
-      completed: false,
-    }),
-    step,
-    terminal: (event) => event.event_type === "interaction.completed",
-    onHalt: (state) =>
-      state.completed
-        ? Effect.succeed([])
-        : Effect.fail(
-            ProviderShared.eventError(ADAPTER, "Google Interactions stream ended before interaction.completed"),
-          ),
-  },
-})
-
-export const route = Route.make({
-  id: ADAPTER,
-  provider: "google",
-  providerMetadataKey: "google",
-  protocol,
-  endpoint: Endpoint.path("/interactions", { baseURL: DEFAULT_BASE_URL }),
-  auth: Auth.none,
-  framing: Framing.sse,
-})
-
-export * as GoogleInteractions from "./google-interactions.js"
@@ -94,7 +94,7 @@ const fromRequest = Effect.fn("GoogleSpeech.fromRequest")(function* (request: Me
 // 6. Stream parsing
 // ---------------------------------------------------------------------------

-const step = Effect.fnUntraced(function* (state: State, frame: string) {
+const step = Effect.fn("GoogleSpeech.step")(function* (state: State, frame: string) {
  const chunk = yield* decodeChunk(frame)
  const blocked = GeminiGenerateContent.blocked(route.name, chunk, frame)
  if (blocked !== undefined) return yield* blocked
@@ -138,7 +138,7 @@ const turn = (part: Schema.Schema.Type<typeof AudioTranscription>) => {
  }
 }

-const step = Effect.fnUntraced(function* (state: State, frame: string) {
+const step = Effect.fn("GoogleTranscription.step")(function* (state: State, frame: string) {
  const chunk = yield* decodeChunk(frame)
  const blocked = GeminiGenerateContent.blocked(route.name, chunk, frame)
  if (blocked !== undefined) return yield* blocked
@@ -1,8 +1,6 @@
 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 GoogleInteractions from "./google-interactions.js"
 export * as MistralChat from "./mistral-chat.js"
 export * as OpenAIChat from "./openai-chat.js"
 export * as OpenAIImages from "./openai-images.js"
@@ -1,5 +1,6 @@
 import { Effect, Encoding, Schema } from "effect"
 import { Protocol } from "../route/protocol.js"
+import { HttpTransport } from "../route/transport/index.js"
 import { LLMEvent, LLMRequest, Message, ToolResultPart } from "../schema/index.js"
 import { OpenResponses } from "./open-responses.js"
 import { JsonObject, optionalArray, optionalNull, ProviderShared } from "./shared.js"
@@ -43,6 +44,13 @@ const ImageItem = Schema.Struct({
  error: Schema.optional(Schema.Unknown),
 })

+const Body = Schema.Struct({
+  ...OpenResponses.coreFields,
+  input: Schema.Array(Schema.Union([OpenResponses.InputItem, ImageItem])),
+  tools: optionalArray(Schema.Union([OpenResponses.Tool, NativeTool])),
+  stream: Schema.Literal(true),
+})
+
 const MessageAnnotations = Schema.Struct({
  content: Schema.Array(Schema.Struct({ annotations: optionalArray(JsonObject) })),
 })
@@ -54,13 +62,12 @@ interface ParserState extends OpenResponses.ParserState {
 const adapter = {
  id: ADAPTER,
  name: NAME,
-  nativeTool: (native) => ProviderShared.validateWith(Schema.decodeUnknownEffect(NativeTool))(native.meta),
  restoreHostedToolItem: (item: unknown) => (Schema.is(ImageItem)(item) ? item : undefined),
 } satisfies OpenResponses.ProviderAdapter

 const fromRequest = Effect.fn("MetaResponses.fromRequest")(function* (request: LLMRequest) {
  const key = request.model.route.providerMetadataKey ?? String(request.model.provider)
-  return yield* OpenResponses.fromRequestWithAdapter(
+  const projected = ProviderShared.flattenToolRequest(
    LLMRequest.update(request, {
      messages: request.messages.map((message) =>
        Message.make({
@@ -86,8 +93,23 @@ const fromRequest = Effect.fn("MetaResponses.fromRequest")(function* (request: L
        }),
      ),
    }),
-    adapter,
  )
+  return yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(Body))({
+    ...(yield* OpenResponses.lowerConversation(projected.request, adapter)),
+    ...OpenResponses.lowerGeneration(request),
+    tools:
+      projected.tools.length === 0
+        ? undefined
+        : yield* Effect.forEach(projected.tools, (tool) =>
+            Effect.gen(function* () {
+              if (tool.native === undefined) return yield* OpenResponses.lowerTool(NAME, tool)
+              return yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(NativeTool))(tool.native.meta)
+            }),
+          ),
+    tool_choice:
+      OpenResponses.allowedToolChoice(request) ??
+      (request.toolChoice ? yield* OpenResponses.lowerToolChoice(NAME, request.toolChoice) : undefined),
+  })
 })

 const HOSTED_TOOLS = {
@@ -95,7 +117,7 @@ const HOSTED_TOOLS = {
  image_generation_call: {
    name: "image_generation",
    input: () => ({}),
-    result: Effect.fnUntraced(function* (raw: ResponsesHostedTools.Item) {
+    result: Effect.fn("MetaResponses.imageResult")(function* (raw: ResponsesHostedTools.Item) {
      const item = yield* Schema.decodeUnknownEffect(ImageItem)(raw).pipe(
        Effect.mapError((cause) =>
          ProviderShared.eventError(
@@ -136,7 +158,7 @@ const HOSTED_TOOLS = {
  },
 } satisfies ResponsesHostedTools.Definitions

-const onEvent = Effect.fnUntraced(function* (
+const onEvent = Effect.fn("MetaResponses.onEvent")(function* (
  state: OpenResponses.ParserState,
  input: OpenResponses.Event,
 ) {
@@ -173,7 +195,7 @@ const onEvent = Effect.fnUntraced(function* (
  ] satisfies OpenResponses.StepResult
 })

-const step = Effect.fnUntraced(function* (state: ParserState, input: OpenResponses.Event) {
+const step = Effect.fn("MetaResponses.step")(function* (state: ParserState, input: OpenResponses.Event) {
  const completedItems = new Set(state.completedItems)
  const event = OpenResponses.normalize(state, input)
  if (event.type === "response.output_item.done" && event.item && completedItems.has(event.item.id))
@@ -200,7 +222,7 @@ const step = Effect.fnUntraced(function* (state: ParserState, input: OpenRespons

 export const protocol = Protocol.make({
  id: ADAPTER,
-  body: { schema: OpenResponses.OpenResponsesBody, from: fromRequest },
+  body: { schema: Body, from: fromRequest },
  stream: {
    event: OpenResponses.protocol.stream.event,
    initial: (request): ParserState => ({ ...OpenResponses.initial(request, adapter), completedItems: new Set() }),
@@ -209,6 +231,6 @@ export const protocol = Protocol.make({
  },
 })

-export const httpTransport = OpenResponses.httpTransport
+export const httpTransport = HttpTransport.sseJson.with<Schema.Schema.Type<typeof Body>>()

 export * as MetaResponses from "./meta-responses.js"
@@ -68,10 +68,7 @@ const MistralAssistantToolCall = Schema.Struct({
 type MistralAssistantToolCall = Schema.Schema.Type<typeof MistralAssistantToolCall>

 const MistralMessage = Schema.Union([
-  Schema.Struct({
-    role: Schema.Literal("system"),
-    content: Schema.Union([Schema.String, Schema.Array(MistralTextContent)]),
-  }),
+  Schema.Struct({ role: Schema.Literal("system"), content: Schema.String }),
  Schema.Struct({
    role: Schema.Literal("user"),
    content: Schema.Union([Schema.String, Schema.Array(MistralUserContent)]),
@@ -226,7 +223,7 @@ const MistralEvent = Schema.StructWithRest(
 type MistralEvent = Schema.Schema.Type<typeof MistralEvent>
 const MistralStreamEvent = Schema.Union([Schema.Literal(DONE), Protocol.jsonEvent(MistralEvent)])

-const lowerMedia = Effect.fnUntraced(function* (part: MediaPart) {
+const lowerMedia = Effect.fn("MistralChat.lowerMedia")(function* (part: MediaPart) {
  const mime = part.media.mediaType.toLowerCase()
  const url =
    ProviderShared.mediaUrl(part.media) ??
@@ -236,7 +233,7 @@ const lowerMedia = Effect.fnUntraced(function* (part: MediaPart) {
  return yield* ProviderShared.invalidRequest(`Mistral Chat does not support media type ${part.media.mediaType}`)
 })

-const lowerUser = Effect.fnUntraced(function* (message: LLMRequest["messages"][number]) {
+const lowerUser = Effect.fn("MistralChat.lowerUser")(function* (message: LLMRequest["messages"][number]) {
  const content: MistralUserContent[] = []
  for (const part of message.content) {
    if (part.type === "text") {
@@ -260,7 +257,7 @@ const lowerToolCall = (part: ToolCallPart, normalizeID: (id: string) => string):
  function: { name: part.name, arguments: ProviderShared.encodeJson(part.input) },
 })

-const lowerAssistant = Effect.fnUntraced(function* (
+const lowerAssistant = Effect.fn("MistralChat.lowerAssistant")(function* (
  message: LLMRequest["messages"][number],
  normalizeID: (id: string) => string,
  prefix: boolean,
@@ -298,7 +295,7 @@ const lowerAssistant = Effect.fnUntraced(function* (
  }
 })

-const lowerToolResults = Effect.fnUntraced(function* (
+const lowerToolResults = Effect.fn("MistralChat.lowerToolResults")(function* (
  message: LLMRequest["messages"][number],
  normalizeID: (id: string) => string,
 ) {
@@ -335,20 +332,10 @@ const lowerToolResults = Effect.fnUntraced(function* (
  return output
 })

-const lowerMessages = Effect.fnUntraced(function* (request: LLMRequest) {
+const lowerMessages = Effect.fn("MistralChat.lowerMessages")(function* (request: LLMRequest) {
  const normalizeID = MistralToolID.normalizer(request)
  const messages: MistralMessage[] =
-    request.system.length === 0
-      ? []
-      : [
-          {
-            role: "system",
-            content:
-              request.system.length === 1
-                ? request.system[0].text
-                : request.system.map((part) => ({ type: "text", text: part.text })),
-          },
-        ]
+    request.system.length === 0 ? [] : [{ role: "system", content: ProviderShared.joinText(request.system) }]
  for (const message of request.messages) {
    if (message.role === "system") {
      const update = yield* ProviderShared.wrappedSystemUpdate("Mistral Chat", message)
@@ -596,7 +583,7 @@ const toolText = (tool: MistralToolDelta) => {
  return value === null || value === undefined ? "" : ProviderShared.encodeJson(value)
 }

-const appendTools = Effect.fnUntraced(function* (
+const appendTools = Effect.fn("MistralChat.appendTools")(function* (
  initial: ParserState,
  events: LLMEvent[],
  deltas: ReadonlyArray<MistralToolDelta>,
@@ -662,7 +649,7 @@ const hasLateContent = (event: MistralEvent) => {
  )
 }

-const step = Effect.fnUntraced(function* (state: ParserState, event: MistralEvent) {
+const step = Effect.fn("MistralChat.step")(function* (state: ParserState, event: MistralEvent) {
  if (event.error) {
    const body = ProviderShared.encodeJson(event)
    return yield* new AIError({
@@ -726,7 +713,7 @@ const step = Effect.fnUntraced(function* (state: ParserState, event: MistralEven
  ] as const
 })

-const finishEvents = Effect.fnUntraced(function* (state: ParserState) {
+const finishEvents = Effect.fn("MistralChat.finishEvents")(function* (state: ParserState) {
  if (!state.finishReason)
    return yield* new AIError({
      reason: new InvalidProviderOutputError({
@@ -168,20 +168,10 @@ export const ConfigurationUpdate = Schema.Struct({
  type: Schema.Literal("configuration_update"),
  reasoning: Schema.Struct({ effort: OpenResponsesOptions.ReasoningEffort }),
 })
-export type ConfigurationUpdate = Schema.Schema.Type<typeof ConfigurationUpdate>
-
-export const HostedToolReplay = Schema.StructWithRest(
-  Schema.Struct({
-    type: Schema.String,
-    id: Schema.String,
-  }),
-  [JsonObject],
-)
-export type HostedToolReplayItem = Schema.Schema.Type<typeof HostedToolReplay>
+type ConfigurationUpdate = Schema.Schema.Type<typeof ConfigurationUpdate>

 export const InputItem = Schema.Union([
  CompactionItem,
-  ConfigurationUpdate,
  Schema.Struct({ type: Schema.tag("message"), role: Schema.tag("system"), content: Schema.String }),
  Schema.Struct({ type: Schema.tag("message"), role: Schema.tag("developer"), content: Schema.String }),
  Schema.Struct({
@@ -214,9 +204,24 @@ export const InputItem = Schema.Union([
    output: OpenResponsesFunctionCallOutput,
  }),
  HostedToolItem,
-  HostedToolReplay,
 ])
 type OpenResponsesInputItem = Schema.Schema.Type<typeof InputItem>
+export type HostedToolReplayItem = {
+  readonly type: string
+  readonly id: string
+  readonly [key: string]: unknown
+}
+type LoweredInputItem =
+  | OpenResponsesInputItem
+  | HostedToolReplayItem
+  | ConfigurationUpdate
+  | {
+      readonly type: "message"
+      readonly id?: string
+      readonly role: "assistant"
+      readonly content: ReadonlyArray<{ readonly type: "output_text"; readonly text: string }>
+      readonly phase?: MessagePhase | null
+    }

 // Mutable counterpart of the schema reasoning item so `lowerMessages` can fold
 // multiple streamed summary parts into the same item before flushing.
@@ -234,14 +239,6 @@ export const Tool = Schema.Struct({
  strict: Schema.optional(Schema.Boolean),
 })

-export const HostedTool = Schema.StructWithRest(
-  Schema.Struct({
-    type: Schema.String,
-  }),
-  [JsonObject],
-)
-export type HostedTool = Schema.Schema.Type<typeof HostedTool>
-
 export const ToolChoice = Schema.Union([
  Schema.Literals(["auto", "none", "required"]),
  Schema.Struct({ type: Schema.tag("function"), name: Schema.String }),
@@ -260,7 +257,7 @@ export const coreFields = {
  model: Schema.String,
  input: Schema.Array(InputItem),
  instructions: Schema.optional(Schema.String),
-  tools: optionalArray(Schema.Union([Tool, HostedTool])),
+  tools: optionalArray(Tool),
  tool_choice: Schema.optional(ToolChoice),
  store: Schema.optional(Schema.Boolean),
  metadata: Schema.optional(Schema.Record(Schema.String, Schema.String)),
@@ -295,7 +292,7 @@ export const coreFields = {
  frequency_penalty: Schema.optional(Schema.Number),
 }

-export const OpenResponsesBody = Schema.Struct({
+const OpenResponsesBody = Schema.Struct({
  ...coreFields,
  stream: Schema.Literal(true),
 })
@@ -400,7 +397,9 @@ export const decodeChannelEvent = (frame: string) =>
 export interface ProviderAdapter {
  readonly id: string
  readonly name: string
-  readonly nativeTool?: (native: NonNullable<ToolDefinition["native"]>) => Effect.Effect<HostedTool, AIError>
+  readonly nativeTool?: (
+    native: NonNullable<ToolDefinition["native"]>,
+  ) => Effect.Effect<{ readonly type: string }, AIError>
  readonly lowerMedia?: (input: {
    readonly part: MediaPart
    readonly media: Media.Inline | undefined
@@ -442,7 +441,7 @@ interface ReasoningStreamItem {
 // =============================================================================
 // Request Lowering
 // =============================================================================
-export const lowerTool = Effect.fnUntraced(function* (protocolName: string, tool: ToolDefinition) {
+export const lowerTool = Effect.fn("OpenResponses.lowerTool")(function* (protocolName: string, tool: ToolDefinition) {
  if (tool.native !== undefined)
    return yield* ProviderShared.invalidRequest(`${protocolName} does not support provider-native tool ${tool.name}`)
  return {
@@ -456,10 +455,8 @@ export const lowerTool = Effect.fnUntraced(function* (protocolName: string, tool
 })

 export const lowerTools = (tools: ReadonlyArray<ToolDefinition>, adapter: ProviderAdapter) =>
-  Effect.forEach(
-    tools,
-    (tool): Effect.Effect<Schema.Schema.Type<typeof Tool> | HostedTool, AIError> =>
-      tool.native !== undefined && adapter.nativeTool ? adapter.nativeTool(tool.native) : lowerTool(adapter.name, tool),
+  Effect.forEach(tools, (tool) =>
+    tool.native !== undefined && adapter.nativeTool ? adapter.nativeTool(tool.native) : lowerTool(adapter.name, tool),
  )

 export const lowerToolChoice = (protocolName: string, toolChoice: NonNullable<LLMRequest["toolChoice"]>) =>
@@ -507,10 +504,7 @@ const lowerReasoning = (part: ReasoningPart, providerMetadataKey: string): OpenR
  }
 }

-const decodeImageDetail = ProviderShared.validateWith(Schema.decodeUnknownEffect(OpenResponsesInputImage.fields.detail))
-const decodeMessageMetadata = ProviderShared.validateWith(Schema.decodeUnknownEffect(MessageMetadata))
-
-const lowerMedia = Effect.fnUntraced(function* (
+const lowerMedia = Effect.fn("OpenResponses.lowerMedia")(function* (
  part: MediaPart,
  request: LLMRequest,
  adapter: ProviderAdapter,
@@ -519,8 +513,9 @@ const lowerMedia = Effect.fnUntraced(function* (
  const media = part.media.inline()
  const providerMedia = adapter.lowerMedia?.({ part, media, request })
  if (providerMedia) return providerMedia
-  const rawDetail = part.providerMetadata?.[metadataKey(request.model)]?.detail
-  const detail = rawDetail === undefined ? undefined : yield* decodeImageDetail(rawDetail)
+  const detail = yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(OpenResponsesInputImage.fields.detail))(
+    part.providerMetadata?.[metadataKey(request.model)]?.detail,
+  )
  const mime = part.media.mediaType.toLowerCase()
  const url = ProviderShared.mediaUrl(part.media)
  const location = url ?? (yield* ProviderShared.requireInlineMedia(adapter.name, part.media)).dataUrl
@@ -593,16 +588,17 @@ const lowerToolResultOutput = Effect.fnUntraced(function* (

 const DEFAULT_EFFORT = "medium"

-const lowerMessages = Effect.fnUntraced(function* (
+const lowerMessages = Effect.fn("OpenResponses.lowerMessages")(function* (
  request: LLMRequest,
  adapter: ProviderAdapter,
 ) {
-  const input: OpenResponsesInputItem[] = []
+  const input: LoweredInputItem[] = []
  const providerMetadataKey = metadataKey(request.model)

  for (const message of request.messages) {
-    const rawMetadata = message.providerMetadata?.[providerMetadataKey]
-    const metadata = rawMetadata === undefined ? undefined : yield* decodeMessageMetadata(rawMetadata)
+    const metadata = yield* ProviderShared.validateWith(
+      Schema.decodeUnknownEffect(Schema.UndefinedOr(MessageMetadata)),
+    )(message.providerMetadata?.[providerMetadataKey])
    if (message.role === "system") {
      const update = effortUpdate(message)
      if (update) {
@@ -756,7 +752,7 @@ const lowerMessages = Effect.fnUntraced(function* (
  return input
 })

-export const lowerConversation = Effect.fnUntraced(function* (
+export const lowerConversation = Effect.fn("OpenResponses.lowerConversation")(function* (
  request: LLMRequest,
  adapter: ProviderAdapter,
 ) {
@@ -831,7 +827,11 @@ export const fromRequestWithAdapter = Effect.fn("OpenResponses.fromRequestWithAd
  }
 })

-export const fromRequest = (request: LLMRequest) => fromRequestWithAdapter(request, BASE_ADAPTER)
+const decodeBody = ProviderShared.validateWith(Schema.decodeUnknownEffect(OpenResponsesBody))
+
+export const fromRequest = Effect.fn("OpenResponses.fromRequest")(function* (request: LLMRequest) {
+  return yield* decodeBody(yield* fromRequestWithAdapter(request, BASE_ADAPTER))
+})

 // =============================================================================
 // Stream Parsing
@@ -1143,7 +1143,7 @@ const onReasoningSummaryPartDone = (state: ParserState, event: Event): StepResul
  ]
 }

-const onFunctionCallArgumentsDelta = Effect.fnUntraced(function* (
+const onFunctionCallArgumentsDelta = Effect.fn("OpenResponses.onFunctionCallArgumentsDelta")(function* (
  state: ParserState,
  event: Event,
 ) {
@@ -1174,7 +1174,7 @@ const onFunctionCallArgumentsDelta = Effect.fnUntraced(function* (
  return [{ ...state, lifecycle, tools: result.tools }, events] satisfies StepResult
 })

-const onOutputItemDone = Effect.fnUntraced(function* (
+const onOutputItemDone = Effect.fn("OpenResponses.onOutputItemDone")(function* (
  state: ParserState,
  item: NormalizedEvent["item"],
 ) {
@@ -1310,7 +1310,7 @@ const onOutputItemDone = Effect.fnUntraced(function* (
  return [state, NO_EVENTS] satisfies StepResult
 })

-const onResponseFinish = Effect.fnUntraced(function* (state: ParserState, event: Event) {
+const onResponseFinish = Effect.fn("OpenResponses.onResponseFinish")(function* (state: ParserState, event: Event) {
  let current = state
  const events: LLMEvent[] = []
  if (event.type === "response.completed") {
@@ -14,6 +14,7 @@ import {
  ProviderInternalError,
  UnknownProviderError,
  Usage,
+  type FinishReason,
  type FinishReasonDetails,
  type CacheHint,
  type LLMRequest,
@@ -45,6 +46,12 @@ const OpenAIChatCacheControl = Schema.Struct({
 })
 type OpenAIChatCacheControl = Schema.Schema.Type<typeof OpenAIChatCacheControl>

+const OpenAIChatFunction = Schema.Struct({
+  name: Schema.String,
+  description: Schema.String,
+  parameters: JsonObject,
+})
+
 const OpenAIChatTool = Schema.Struct({
  type: Schema.tag("function"),
  function: Schema.Struct({
@@ -65,7 +72,7 @@ const ExtraContent = Schema.Struct({
 })
 const decodeExtraContent = (value: unknown) => Option.getOrUndefined(Schema.decodeUnknownOption(ExtraContent)(value))

-export const OpenAIChatAssistantToolCall = Schema.Struct({
+const OpenAIChatAssistantToolCall = Schema.Struct({
  id: Schema.String,
  type: Schema.tag("function"),
  function: Schema.Struct({
@@ -134,7 +141,7 @@ const OpenAIChatUserContent = Schema.Union([
 ])
 type OpenAIChatUserContent = Schema.Schema.Type<typeof OpenAIChatUserContent>

-export const OpenAIChatMessage = Schema.Union([
+const OpenAIChatMessage = Schema.Union([
  Schema.Struct({
    role: Schema.Literal("system"),
    content: Schema.Union([Schema.String, Schema.Array(OpenAIChatUserContent)]),
@@ -200,16 +207,14 @@ export type OpenAIChatBody = Schema.Schema.Type<typeof OpenAIChatBody>
 // The event schema is one decoded SSE `data:` payload. `Framing.sse` splits the
 // byte stream into strings, then `Protocol.jsonEvent` decodes each string into
 // this provider-native event shape.
-export const OpenAIChatUsage = Schema.StructWithRest(
+const OpenAIChatUsage = Schema.StructWithRest(
  Schema.Struct({
    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({
@@ -238,7 +243,7 @@ const OpenAIChatToolCallDeltaFunction = Schema.Struct({
  arguments: optionalNull(Schema.String),
 })

-export const OpenAIChatToolCallDelta = Schema.Struct({
+const OpenAIChatToolCallDelta = Schema.Struct({
  index: optionalNull(Schema.Number),
  id: optionalNull(Schema.String),
  function: optionalNull(OpenAIChatToolCallDeltaFunction),
@@ -246,7 +251,7 @@ export const OpenAIChatToolCallDelta = Schema.Struct({
 })
 type OpenAIChatToolCallDelta = Schema.Schema.Type<typeof OpenAIChatToolCallDelta>

-export const OpenAIChatDelta = Schema.StructWithRest(
+const OpenAIChatDelta = Schema.StructWithRest(
  Schema.Struct({
    content: optionalNull(Schema.String),
    refusal: optionalNull(Schema.String),
@@ -259,7 +264,7 @@ export const OpenAIChatDelta = Schema.StructWithRest(
  [Schema.Record(Schema.String, Schema.Unknown)],
 )

-export const OpenAIChatChoice = Schema.StructWithRest(
+const OpenAIChatChoice = Schema.StructWithRest(
  Schema.Struct({
    delta: optionalNull(OpenAIChatDelta),
    finish_reason: optionalNull(Schema.String),
@@ -326,8 +331,6 @@ export interface ParserState {
 interface LoweringOptions {
  readonly cacheControl?: (cache: CacheHint | undefined) => OpenAIChatCacheControl | undefined
  readonly toolCallID?: (id: string) => string
-  /** Project provider-specific fields from the exact source, even when other messages are dropped during lowering. */
-  readonly assistant?: (source: LLMRequest["messages"][number], message: OpenAIChatMessage) => OpenAIChatMessage
 }

 const lowerTool = (tool: ToolDefinition, options: LoweringOptions, supportsStrictMode: boolean): OpenAIChatTool => ({
@@ -362,7 +365,7 @@ const lowerToolCall = (
  extra_content: decodeExtraContent(part.providerMetadata?.[options.providerMetadataKey]?.extraContent),
 })

-const lowerMedia = Effect.fnUntraced(function* (part: MediaPart) {
+const lowerMedia = Effect.fn("OpenAIChat.lowerMedia")(function* (part: MediaPart) {
  // Chat Completions accepts PDFs, and no other documents, as inline `file` parts; file URLs are not supported.
  if (part.media.mediaType.toLowerCase() === "application/pdf")
    return {
@@ -408,7 +411,7 @@ const lowerReasoningDetail = (detail: ReasoningDetail) => {

 const isKimiDetail = (detail: { readonly type: string }) => detail.type === "summary" || detail.type === "encrypted"

-const lowerUserMessage = Effect.fnUntraced(function* (
+const lowerUserMessage = Effect.fn("OpenAIChat.lowerUserMessage")(function* (
  message: OpenAIChatRequestMessage,
  options: LoweringOptions,
 ) {
@@ -432,7 +435,7 @@ const lowerUserMessage = Effect.fnUntraced(function* (
  return { role: "user" as const, content }
 })

-const lowerAssistantMessage = Effect.fnUntraced(function* (
+const lowerAssistantMessage = Effect.fn("OpenAIChat.lowerAssistantMessage")(function* (
  message: OpenAIChatRequestMessage,
  configuredField: string | undefined,
  requireReasoning: boolean,
@@ -497,7 +500,7 @@ const lowerAssistantMessage = Effect.fnUntraced(function* (
  return { ...result, [field]: reasoningText }
 })

-const lowerToolMessages = Effect.fnUntraced(function* (
+const lowerToolMessages = Effect.fn("OpenAIChat.lowerToolMessages")(function* (
  message: OpenAIChatRequestMessage,
  options: LoweringOptions,
 ) {
@@ -534,21 +537,19 @@ const toolMessage = (toolCallID: string, text: string, cacheControl: OpenAIChatC
  content: cacheControl === undefined ? text : [{ type: "text" as const, text, cache_control: cacheControl }],
 })

-const lowerMessage = Effect.fnUntraced(function* (
+const lowerMessage = Effect.fn("OpenAIChat.lowerMessage")(function* (
  message: OpenAIChatRequestMessage,
  reasoningField: string | undefined,
  requireReasoning: boolean,
  options: LoweringOptions & { readonly providerMetadataKey: string },
 ) {
  if (message.role === "user") return [yield* lowerUserMessage(message, options)]
-  if (message.role === "assistant") {
-    const lowered = yield* lowerAssistantMessage(message, reasoningField, requireReasoning, options)
-    return [options.assistant?.(message, lowered) ?? lowered]
-  }
+  if (message.role === "assistant")
+    return [yield* lowerAssistantMessage(message, reasoningField, requireReasoning, options)]
  return (yield* lowerToolMessages(message, options)).messages
 })

-const lowerMessages = Effect.fnUntraced(function* (request: LLMRequest, options: LoweringOptions) {
+const lowerMessages = Effect.fn("OpenAIChat.lowerMessages")(function* (request: LLMRequest, options: LoweringOptions) {
  const system: OpenAIChatMessage[] =
    request.system.length === 0
      ? []
@@ -859,7 +860,7 @@ export const fromRequest = Effect.fn("OpenAIChat.fromRequest")(function* (
 // Streaming parsers are small state machines: every event returns a new state
 // plus the common `LLMEvent`s produced by that event. Tool calls are accumulated
 // because OpenAI streams JSON arguments across multiple deltas.
-const mapFinishReason = Effect.fnUntraced(function* (event: OpenAIChatEvent, reason: string) {
+const mapFinishReason = Effect.fn("OpenAIChat.mapFinishReason")(function* (event: OpenAIChatEvent, reason: string) {
  switch (reason) {
    case "error":
      return yield* new AIError({
@@ -902,19 +903,16 @@ const mapFinishReason = Effect.fnUntraced(function* (event: OpenAIChatEvent, rea
 // 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({
@@ -1218,7 +1216,7 @@ const step = (state: ParserState, event: OpenAIChatEvent) =>
    ] as const
  })

-export const finishEvents = Effect.fnUntraced(function* (state: ParserState) {
+const finishEvents = Effect.fn("OpenAIChat.finishEvents")(function* (state: ParserState) {
  if (state.finishReason === undefined && state.requireFinishReason)
    return yield* new AIError({
      reason: new InvalidProviderOutputError({
@@ -208,7 +208,7 @@ const eventImage = (frame: string, label: string, data: string, format: string,
    info: info(format, size),
  })

-const onEvent = Effect.fnUntraced(function* (state: State, frame: string) {
+const onEvent = Effect.fn("OpenAIImages.onEvent")(function* (state: State, frame: string) {
  const event = yield* decodeEvent(frame)
  const format = event.output_format
  if ("partial_image_index" in event) {
@@ -229,7 +229,7 @@ const onEvent = Effect.fnUntraced(function* (state: State, frame: string) {
  ] as const
 })

-const onDocument = Effect.fnUntraced(function* (frame: Exclude<Frame, string>) {
+const onDocument = Effect.fn("OpenAIImages.onDocument")(function* (frame: Exclude<Frame, string>) {
  const invalid = (message: string, cause?: unknown) => route.frameError(message, frame.document, cause)
  const decoded = yield* decodeDocument(frame.document).pipe(
    Effect.mapError((cause) => invalid(`${route.name} returned an invalid response`, cause)),
@@ -103,8 +103,15 @@ const OpenAIResponsesToolChoice = Schema.Union([
  Schema.Struct({ type: Schema.tag("image_generation") }),
 ])

+const OpenAIResponsesInputItem = Schema.Union([
+  OpenResponses.InputItem,
+  OpenAIResponsesHostedToolItem,
+  OpenResponses.ConfigurationUpdate,
+])
+
 const OpenAIResponsesCoreFields = {
  ...OpenResponses.coreFields,
+  input: Schema.Array(OpenAIResponsesInputItem),
  tools: optionalArray(OpenAIResponsesTools),
  tool_choice: Schema.optional(OpenAIResponsesToolChoice),
  context_management: Schema.optional(
@@ -127,7 +134,7 @@ export type OpenAIResponsesBody = Schema.Schema.Type<typeof OpenAIResponsesBody>
 export const CompactionTrigger = Schema.Struct({ type: Schema.Literal("compaction_trigger") })
 const CheckpointBody = Schema.Struct({
  ...OpenAIResponsesBody.fields,
-  input: Schema.Array(Schema.Union([OpenResponses.InputItem, CompactionTrigger])),
+  input: Schema.Array(Schema.Union([OpenAIResponsesInputItem, CompactionTrigger])),
 })

 const adapter = {
@@ -157,7 +164,7 @@ const nativeImageTool = (tool: ToolDefinition) => {
  return Schema.is(OpenAIResponsesImageGenerationTool)(native) ? native : undefined
 }

-const lowerTool = Effect.fnUntraced(function* (tool: ToolDefinition) {
+const lowerTool = Effect.fn("OpenAIResponses.lowerTool")(function* (tool: ToolDefinition) {
  const native = nativeImageToolInput(tool)
  if (native !== undefined) {
    if (Schema.is(OpenAIResponsesImageGenerationTool)(native)) return native
@@ -168,7 +175,7 @@ const lowerTool = Effect.fnUntraced(function* (tool: ToolDefinition) {

 // Native namespaces hold only function tools, so deeper levels flatten into
 // the leaf names the same way non-native protocols flatten the whole tree.
-const lowerToolEntry = Effect.fnUntraced(function* (tool: ToolEntry) {
+const lowerToolEntry = Effect.fn("OpenAIResponses.lowerToolEntry")(function* (tool: ToolEntry) {
  if (tool.type === "tool") return yield* lowerTool(tool)
  // OpenAI requires a namespace description; fall back to a generic one so a
  // missing description never blocks the request.
@@ -195,13 +202,15 @@ const lowerToolChoice = (toolChoice: NonNullable<LLMRequest["toolChoice"]>, tool
        : { type: "function" as const, name },
  })

+const decodeBody = ProviderShared.validateWith(Schema.decodeUnknownEffect(OpenAIResponsesBody))
+
 const fromRequest = Effect.fn("OpenAIResponses.fromRequest")(function* (request: LLMRequest) {
  const management = yield* ProviderShared.validateWith(
    Schema.decodeUnknownEffect(Schema.UndefinedOr(ContextManagement)),
  )(request.providerOptions?.contextManagement)
  const options = OpenResponsesOptions.resolve(request)
  const updates = resolveEffortUpdates(request, options.reasoningEffort)
-  return {
+  return yield* decodeBody({
    ...(yield* OpenResponses.lowerConversation(updates.request, adapter)),
    ...OpenResponses.lowerGeneration(request, { ...options, reasoningEffort: updates.effort }),
    context_management: management?.map((edit) => ({ type: edit.type, compact_threshold: edit.compactThreshold })),
@@ -211,7 +220,7 @@ const fromRequest = Effect.fn("OpenAIResponses.fromRequest")(function* (request:
        ? undefined
        : (OpenResponses.allowedToolChoice(request) ??
          (request.toolChoice ? yield* lowerToolChoice(request.toolChoice, request.tools) : undefined)),
-  }
+  })
 })

 const checkpointBody = {
@@ -237,7 +246,7 @@ const checkpointBody = {
  }),
 }

-const hostedToolResult = Effect.fnUntraced(function* (item: ResponsesHostedTools.Item) {
+const hostedToolResult = Effect.fn("OpenAIResponses.hostedToolResult")(function* (item: ResponsesHostedTools.Item) {
  const isError = item.error !== undefined && item.error !== null
  if (item.type === "image_generation_call" && item.result) {
    yield* Effect.fromResult(Encoding.decodeBase64(item.result)).pipe(
@@ -94,7 +94,7 @@ const fromRequest = Effect.fn("OpenAISpeech.fromRequest")(function* (request: Me

 const isSse = (body: MediaProtocol.Body) => body.type === "json" && body.value.stream_format === "sse"

-const onEvent = Effect.fnUntraced(function* (state: State, frame: string) {
+const onEvent = Effect.fn("OpenAISpeech.onEvent")(function* (state: State, frame: string) {
  const event = yield* decodeEvent(frame)
  if (event.type === "speech.audio.delta") return SpeechStream.delta(state, event.audio)
  const usage = event.usage
@@ -210,7 +210,7 @@ const segment = (value: Schema.Schema.Type<typeof Segment>): TranscriptionSegmen
  speaker: value.speaker,
 })

-const onEvent = Effect.fnUntraced(function* (state: State, frame: string) {
+const onEvent = Effect.fn("OpenAITranscription.onEvent")(function* (state: State, frame: string) {
  if (!EVENT_TYPES.has((yield* decodeEventType(frame)).type)) return [state, []] as const
  const event = yield* decodeEvent(frame)
  if (event.type === "error")
@@ -154,7 +154,7 @@ export const wrapSystemUpdate = (parts: ReadonlyArray<{ readonly text: string }>
 * raw retrieved, tool, or web content into privileged updates: keep untrusted
 * data in ordinary user/tool messages instead.
 */
-export const systemUpdateText = Effect.fnUntraced(function* (
+export const systemUpdateText = Effect.fn("ProviderShared.systemUpdateText")(function* (
  route: string,
  message: LLMRequest["messages"][number],
 ) {
@@ -167,7 +167,7 @@ export const systemUpdateText = Effect.fnUntraced(function* (
 })

 /** Lower an unsupported privileged update into visible, in-order user text. */
-export const wrappedSystemUpdate = Effect.fnUntraced(function* (
+export const wrappedSystemUpdate = Effect.fn("ProviderShared.wrappedSystemUpdate")(function* (
  route: string,
  message: LLMRequest["messages"][number],
 ) {
@@ -82,7 +82,7 @@ const endpoint = (model: string) => (model.startsWith("sd3") ? "sd3" : model)

 const RESERVED_FORM_FIELDS = new Set(["image", "prompt", "mode", "model"])

-const form = Effect.fnUntraced(function* (
+const form = Effect.fn("StabilityImages.form")(function* (
  identity: MediaProtocol.Identity,
  fields: Record<string, unknown>,
  native: Record<string, unknown> | undefined,
@@ -76,7 +76,7 @@ function documentName(filename: string | undefined, names: Set<string>) {
  return name
 }

-const mediaBase64 = Effect.fnUntraced(function* (part: MediaPart) {
+const mediaBase64 = Effect.fn("BedrockMedia.mediaBase64")(function* (part: MediaPart) {
  const media = yield* ProviderShared.requireInlineMedia("Bedrock Converse", part.media)
  const bytes = yield* Effect.fromResult(Encoding.decodeBase64(media.base64)).pipe(
    Effect.mapError((cause) =>
@@ -91,7 +91,7 @@ const mediaBase64 = Effect.fnUntraced(function* (part: MediaPart) {
 // document block. Image MIME types not in `IMAGE_FORMATS` (e.g. `image/svg+xml`)
 // get an image-specific error so the caller knows it's a format-support issue,
 // not a kind-detection issue.
-export const lower = Effect.fnUntraced(function* (part: MediaPart, documentNames: Set<string>) {
+export const lower = Effect.fn("BedrockMedia.lower")(function* (part: MediaPart, documentNames: Set<string>) {
  const mime = part.media.mediaType.toLowerCase()
  const imageFormat = IMAGE_FORMATS[mime as keyof typeof IMAGE_FORMATS]
  if (imageFormat) {
@@ -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) }
-  }
-}
@@ -11,7 +11,7 @@ interface State {
  readonly responseID?: string
 }

-const onOutputItem = Effect.fnUntraced(function* (
+const onOutputItem = Effect.fn("ResponsesCheckpoint.onOutputItem")(function* (
  state: State,
  input: OpenResponses.Event,
 ) {
@@ -63,7 +63,7 @@ export const make = <Body>(body: RouteBody<Body>): TriggerCompactOperation =>
          checkpoints: {},
        }),
        terminal: OpenResponses.terminal,
-        step: Effect.fnUntraced(function* (state: State, event: OpenResponses.Event) {
+        step: Effect.fn("ResponsesCheckpoint.step")(function* (state: State, event: OpenResponses.Event) {
          if (event.response?.id && state.responseID && event.response.id !== state.responseID)
            return yield* ProviderShared.eventError(source.id, "Compaction response ID changed during execution")
          if (event.type === "response.created") return [{ ...state, responseID: event.response?.id }, []] as const
@@ -33,7 +33,7 @@ export const onDone: (
  state: OpenResponses.ParserState,
  item: Item,
  tools: Definitions,
-) => Effect.Effect<OpenResponses.StepResult, AIError> = Effect.fnUntraced(
+) => Effect.Effect<OpenResponses.StepResult, AIError> = Effect.fn("ResponsesHostedTools.onDone")(
  function* (state, item, tools) {
    const tool = tools[item.type]
    if (!tool) return [state, []] satisfies OpenResponses.StepResult
@@ -60,21 +60,14 @@ const inputStart = (tool: PendingTool) =>
    providerMetadata: tool.providerMetadata,
  })

-const inputDelta = (tool: PendingTool, text: string): LLMEvent => {
-  const raw = tool.input
-  let parsed: unknown
-  return {
-    ...LLMEvent.toolInputDelta({
-      id: tool.id,
-      name: tool.name,
-      namespace: tool.namespace,
-      text,
-    }),
-    get input() {
-      return (parsed ??= Option.getOrElse(parsePartialInput(raw), () => ({})))
-    },
-  }
-}
+const inputDelta = (tool: PendingTool, text: string) =>
+  LLMEvent.toolInputDelta({
+    id: tool.id,
+    name: tool.name,
+    namespace: tool.namespace,
+    text,
+    input: Option.getOrElse(parsePartialInput(tool.input), () => ({})),
+  })

 const toolCall = (route: string, tool: PendingTool, inputOverride?: string) => {
  const raw = inputOverride ?? tool.input
@@ -1,374 +0,0 @@
-import { Effect, Schema } from "effect"
-import { Protocol } from "../route/protocol.js"
-import { AIError, LLMEvent, type LanguageModelCompatibility, type LLMRequest } from "../schema/index.js"
-import { classifyProviderFailure } from "../provider-error.js"
-import { OpenAIChat } from "./openai-chat.js"
-import { JsonObject, optionalArray, optionalNull, ProviderShared } from "./shared.js"
-import { cacheControl } from "./utils/cache.js"
-
-// ---------------------------------------------------------------------------
-// Public options and request body
-// ---------------------------------------------------------------------------
-
-export type ReasoningEffort = "none" | "minimal" | "low" | "medium" | "high" | "xhigh" | "max" | (string & {})
-
-const Parameters = Schema.Struct({
-  enableWebSearch: Schema.optional(Schema.String),
-  enableWebScraping: Schema.optional(Schema.Boolean),
-  enableWebCitations: Schema.optional(Schema.Boolean),
-  enableXSearch: Schema.optional(Schema.Boolean),
-  stripThinkingResponse: Schema.optional(Schema.Boolean),
-  disableThinking: Schema.optional(Schema.Boolean),
-  includeVeniceSystemPrompt: Schema.optional(Schema.Boolean),
-  characterSlug: Schema.optional(Schema.String),
-  includeSearchResultsInStream: Schema.optional(Schema.Boolean),
-  returnSearchResultsAsDocuments: Schema.optional(Schema.Boolean),
-})
-
-const Reasoning = Schema.Struct({
-  effort: Schema.optional(Schema.String),
-  enabled: Schema.optional(Schema.Boolean),
-  summary: Schema.optional(Schema.String),
-})
-
-export type OptionsInput = {
-  readonly reasoningEffort?: ReasoningEffort
-  readonly reasoning?: {
-    readonly effort?: ReasoningEffort
-    readonly enabled?: boolean
-    readonly summary?: "auto" | "concise" | "detailed" | (string & {})
-  }
-  readonly veniceParameters?: Omit<typeof Parameters.Type, "enableWebSearch"> & {
-    readonly enableWebSearch?: "off" | "on" | "auto" | (string & {})
-  }
-  readonly promptCacheKey?: string
-  readonly promptCacheRetention?: "default" | "extended" | "24h" | (string & {})
-  readonly parallelToolCalls?: boolean
-  readonly maxCompletionTokens?: number
-  readonly maxTokens?: number
-  readonly minP?: number
-  readonly repetitionPenalty?: number
-  readonly stopTokenIds?: readonly number[]
-  readonly logprobs?: boolean
-  readonly topLogprobs?: number
-  readonly maxTemp?: number
-  readonly minTemp?: number
-  readonly responseFormat?: Readonly<Record<string, unknown>>
-  readonly user?: string
-}
-
-const Options = Schema.Struct({
-  reasoningEffort: Schema.optional(Schema.String),
-  reasoning: Schema.optional(Reasoning),
-  veniceParameters: Schema.optional(Parameters),
-  promptCacheKey: Schema.optional(Schema.String),
-  promptCacheRetention: Schema.optional(Schema.String),
-  parallelToolCalls: Schema.optional(Schema.Boolean),
-  maxCompletionTokens: Schema.optional(Schema.Number),
-  maxTokens: Schema.optional(Schema.Number),
-  minP: Schema.optional(Schema.Number),
-  repetitionPenalty: Schema.optional(Schema.Number),
-  stopTokenIds: Schema.optional(Schema.Array(Schema.Number)),
-  logprobs: Schema.optional(Schema.Boolean),
-  topLogprobs: Schema.optional(Schema.Number),
-  maxTemp: Schema.optional(Schema.Number),
-  minTemp: Schema.optional(Schema.Number),
-  responseFormat: Schema.optional(JsonObject),
-  user: Schema.optional(Schema.String),
-})
-
-const ToolCall = Schema.Struct({
-  ...OpenAIChat.OpenAIChatAssistantToolCall.fields,
-  thought_signature: Schema.optional(Schema.String),
-})
-const Assistant = Schema.StructWithRest(
-  Schema.Struct({
-    ...OpenAIChat.OpenAIChatMessage.cases.assistant.schema.fields,
-    tool_calls: optionalArray(ToolCall),
-    thought_signature: Schema.optional(Schema.String),
-  }),
-  [Schema.Record(Schema.String, Schema.Unknown)],
-)
-const Messages = Schema.Array(
-  Schema.Union([
-    OpenAIChat.OpenAIChatMessage.cases.system,
-    OpenAIChat.OpenAIChatMessage.cases.user,
-    Assistant,
-    OpenAIChat.OpenAIChatMessage.cases.tool,
-  ]),
-)
-const Body = Schema.Struct({
-  ...OpenAIChat.bodyFields,
-  messages: Messages,
-  reasoning: Schema.optional(Reasoning),
-  venice_parameters: Schema.Record(Schema.String, Schema.Union([Schema.String, Schema.Boolean])),
-  prompt_cache_retention: Options.fields.promptCacheRetention,
-  parallel_tool_calls: Options.fields.parallelToolCalls,
-  min_p: Options.fields.minP,
-  top_k: Schema.optional(Schema.Number),
-  repetition_penalty: Options.fields.repetitionPenalty,
-  stop_token_ids: Options.fields.stopTokenIds,
-  logprobs: Options.fields.logprobs,
-  top_logprobs: Options.fields.topLogprobs,
-  max_temp: Options.fields.maxTemp,
-  min_temp: Options.fields.minTemp,
-  response_format: Options.fields.responseFormat,
-  user: Options.fields.user,
-})
-
-// ---------------------------------------------------------------------------
-// Streaming schemas and state
-// ---------------------------------------------------------------------------
-
-const ToolDelta = Schema.Struct({
-  ...OpenAIChat.OpenAIChatToolCallDelta.fields,
-  thought_signature: optionalNull(Schema.String),
-})
-const Delta = Schema.StructWithRest(
-  Schema.Struct({
-    ...OpenAIChat.OpenAIChatDelta.schema.fields,
-    tool_calls: optionalNull(Schema.Array(ToolDelta)),
-    thought_signature: optionalNull(Schema.String),
-  }),
-  [Schema.Record(Schema.String, Schema.Unknown)],
-)
-const Choice = Schema.StructWithRest(
-  Schema.Struct({ ...OpenAIChat.OpenAIChatChoice.schema.fields, delta: optionalNull(Delta) }),
-  [Schema.Record(Schema.String, Schema.Unknown)],
-)
-const Usage = Schema.StructWithRest(
-  Schema.Struct({
-    ...OpenAIChat.OpenAIChatUsage.schema.fields,
-    prompt_tokens_details: optionalNull(
-      Schema.StructWithRest(
-        Schema.Struct({
-          cached_tokens: optionalNull(Schema.Number),
-          cache_write_tokens: optionalNull(Schema.Number),
-          cache_creation_input_tokens: optionalNull(Schema.Number),
-        }),
-        [Schema.Record(Schema.String, Schema.Unknown)],
-      ),
-    ),
-  }),
-  [Schema.Record(Schema.String, Schema.Unknown)],
-)
-const Event = Schema.StructWithRest(
-  Schema.Struct({
-    ...OpenAIChat.OpenAIChatEvent.schema.fields,
-    choices: optionalNull(Schema.Array(Choice)),
-    usage: optionalNull(Usage),
-    error: optionalNull(Schema.Union([Schema.String, OpenAIChat.OpenAIChatEvent.schema.fields.error.schema])),
-    issues: optionalArray(
-      Schema.Struct({
-        message: Schema.String,
-        path: Schema.optional(Schema.Array(Schema.Union([Schema.String, Schema.Number]))),
-      }),
-    ),
-  }),
-  [Schema.Record(Schema.String, Schema.Unknown)],
-)
-
-interface State {
-  readonly shared: OpenAIChat.ParserState
-  readonly pending: string
-  readonly reasoning: string
-  readonly encrypted: boolean
-  readonly signature?: string
-  readonly tools: Readonly<Record<string, string>>
-}
-
-const MARKER = "__ENCRYPTED_REASONING__"
-
-// ---------------------------------------------------------------------------
-// Request lowering
-// ---------------------------------------------------------------------------
-
-const fromRequest = Effect.fn("VeniceChat.fromRequest")(function* (request: LLMRequest) {
-  const options = yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(Options))(request.providerOptions ?? {})
-  const body = yield* OpenAIChat.fromRequest(request, {
-    cacheControl: cacheControl(),
-    assistant: (source, message) => {
-      if (message.role !== "assistant") return message
-      const parts = source.content.filter(
-        (part) => part.type === "text" || part.type === "reasoning" || part.type === "tool-call",
-      )
-      const calls = source.content.filter((part) => part.type === "tool-call")
-      const signature = parts
-        .map((part) => part.providerMetadata?.venice?.messageThoughtSignature)
-        .find((value) => typeof value === "string")
-      const raw = parts
-        .map((part) => part.providerMetadata?.venice?.encryptedReasoningContent)
-        .find((value) => typeof value === "string")
-      return {
-        ...message,
-        ...(signature === undefined ? {} : { thought_signature: signature }),
-        ...(raw === undefined ? {} : { reasoning_content: raw }),
-        tool_calls: message.tool_calls?.map((call, index) => {
-          const signature = calls[index]?.providerMetadata?.venice?.thoughtSignature
-          return { ...call, ...(typeof signature === "string" ? { thought_signature: signature } : {}) }
-        }),
-      }
-    },
-  })
-  return {
-    ...body,
-    max_completion_tokens: options.maxCompletionTokens ?? options.maxTokens ?? request.generation?.maxTokens,
-    reasoning_effort: undefined,
-    reasoning:
-      options.reasoningEffort === undefined
-        ? options.reasoning
-        : { ...options.reasoning, effort: options.reasoningEffort },
-    // Match the previous Venice SDK default, not the gateway's added prompt.
-    venice_parameters: Object.fromEntries(
-      Object.entries({
-        ...options.veniceParameters,
-        includeVeniceSystemPrompt: options.veniceParameters?.includeVeniceSystemPrompt ?? false,
-      })
-        .filter(([, value]) => value !== undefined)
-        .map(([key, value]) => [key.replace(/[A-Z]/g, (letter) => `_${letter.toLowerCase()}`), value]),
-    ),
-    prompt_cache_retention: options.promptCacheRetention,
-    parallel_tool_calls: options.parallelToolCalls,
-    min_p: options.minP,
-    top_k: request.generation?.topK,
-    repetition_penalty: options.repetitionPenalty,
-    stop_token_ids: options.stopTokenIds,
-    logprobs: options.logprobs,
-    top_logprobs: options.topLogprobs,
-    max_temp: options.maxTemp,
-    min_temp: options.minTemp,
-    response_format: options.responseFormat,
-    user: options.user,
-  }
-})
-
-// ---------------------------------------------------------------------------
-// Venice normalization around the shared Chat state machine
-// ---------------------------------------------------------------------------
-
-const step = Effect.fn("VeniceChat.step")(function* (state: State, event: typeof Event.Type) {
-  if (typeof event.error === "string")
-    return yield* new AIError({
-      reason: classifyProviderFailure({
-        message: [
-          event.error,
-          ...(event.issues ?? []).map(
-            (issue) => `${issue.path?.length ? `${issue.path.join(".")}: ` : ""}${issue.message}`,
-          ),
-        ].join("; "),
-        rawBody: ProviderShared.encodeJson(event),
-      }),
-    })
-  const delta = event.choices?.[0]?.delta
-  const scalar = delta?.reasoning_content ?? ""
-  const text = state.pending + scalar
-  const marker = text.indexOf(MARKER)
-  const pending =
-    marker >= 0 || state.encrypted
-      ? 0
-      : (Array.from({ length: Math.min(text.length, MARKER.length - 1) }, (_, index) => index + 1)
-          .filter((length) => text.endsWith(MARKER.slice(0, length)))
-          .at(-1) ?? 0)
-  const visible = state.encrypted ? "" : marker >= 0 ? text.slice(0, marker) : text.slice(0, text.length - pending)
-  const result = yield* OpenAIChat.protocol.stream.step(state.shared, {
-    ...event,
-    error: event.error,
-    usage: event.usage
-      ? {
-          ...event.usage,
-          prompt_tokens_details: event.usage.prompt_tokens_details
-            ? {
-                ...event.usage.prompt_tokens_details,
-                cache_write_tokens:
-                  event.usage.prompt_tokens_details.cache_write_tokens ??
-                  event.usage.prompt_tokens_details.cache_creation_input_tokens,
-              }
-            : event.usage.prompt_tokens_details,
-        }
-      : event.usage,
-    choices: event.choices?.map((choice, index) =>
-      index === 0 && choice.delta
-        ? {
-            ...choice,
-            delta: {
-              ...choice.delta,
-              reasoning_content: visible || undefined,
-              // Opaque-only scalar reasoning still needs a canonical part for replay.
-              reasoning_details: choice.delta.reasoning_details ?? (marker >= 0 ? [] : undefined),
-            },
-          }
-        : choice,
-    ),
-  })
-  const tools = { ...state.tools }
-  for (const call of delta?.tool_calls ?? []) {
-    if (!call.thought_signature) continue
-    const index = call.index ?? result[0].latestToolIndex
-    const id =
-      call.id ?? (index === undefined ? undefined : (result[0].tools[index]?.id ?? result[0].pendingTools[index]?.id))
-    if (id) tools[id] = call.thought_signature
-  }
-  return [
-    {
-      shared: result[0],
-      pending: pending ? text.slice(-pending) : "",
-      reasoning: state.reasoning + scalar,
-      encrypted: state.encrypted || marker >= 0,
-      signature: delta?.thought_signature ?? state.signature,
-      tools,
-    },
-    result[1],
-  ] as const
-})
-
-const onHalt = Effect.fn("VeniceChat.onHalt")(function* (state: State) {
-  const events = yield* OpenAIChat.finishEvents(state.shared)
-  return events.flatMap((event): LLMEvent[] => {
-    if (
-      event.type !== "reasoning-end" &&
-      event.type !== "text-end" &&
-      event.type !== "tool-call" &&
-      event.type !== "tool-input-end"
-    )
-      return [event]
-    const signature = event.type === "tool-call" || event.type === "tool-input-end" ? state.tools[event.id] : undefined
-    const providerMetadata = {
-      ...event.providerMetadata,
-      venice: {
-        ...event.providerMetadata?.venice,
-        ...(state.signature ? { messageThoughtSignature: state.signature } : {}),
-        ...(signature ? { thoughtSignature: signature } : {}),
-        ...(event.type === "reasoning-end" && state.encrypted ? { encryptedReasoningContent: state.reasoning } : {}),
-      },
-    }
-    if (event.type === "reasoning-end" && state.pending)
-      return [LLMEvent.reasoningDelta({ id: event.id, text: state.pending }), { ...event, providerMetadata }]
-    return [{ ...event, providerMetadata }]
-  })
-})
-
-export const compatibility = {
-  maxTokensField: "max_completion_tokens",
-  supportsStore: false,
-  supportsPromptCacheKey: true,
-} satisfies LanguageModelCompatibility
-
-export const protocol = Protocol.make({
-  id: "venice-chat",
-  body: { schema: Body, from: fromRequest },
-  stream: {
-    event: Schema.Union([Schema.Literal("[DONE]"), Protocol.jsonEvent(Event)]),
-    initial: (request): State => ({
-      shared: OpenAIChat.protocol.stream.initial(request),
-      pending: "",
-      reasoning: "",
-      encrypted: false,
-      tools: {},
-    }),
-    step: (state: State, event) => (event === "[DONE]" ? Effect.succeed([state, []] as const) : step(state, event)),
-    terminal: (event) => event === "[DONE]",
-    onHalt,
-  },
-})
-
-export * as VeniceChat from "./venice-chat.js"
@@ -31,12 +31,19 @@ const XAIResponsesHostedToolItem = Schema.Union([
  ),
 ])

+const XAIResponsesBody = Schema.Struct({
+  ...OpenResponses.coreFields,
+  input: Schema.Array(Schema.Union([OpenResponses.InputItem, XAIResponsesHostedToolItem])),
+  stream: Schema.Literal(true),
+})
+
 const adapter = {
  id: ADAPTER,
  name: NAME,
  restoreHostedToolItem: (item: unknown) => (Schema.is(XAIResponsesHostedToolItem)(item) ? item : undefined),
 } satisfies OpenResponses.ProviderAdapter

+const decodeBody = ProviderShared.validateWith(Schema.decodeUnknownEffect(XAIResponsesBody))
 const fromRequest = Effect.fn("XAIResponses.fromRequest")(function* (request: LLMRequest) {
  if (request.providerOptions?.contextManagement !== undefined)
    return yield* ProviderShared.unsupportedOperation({
@@ -46,7 +53,7 @@ const fromRequest = Effect.fn("XAIResponses.fromRequest")(function* (request: LL
      message:
        "xAI requires explicit compaction through LLMClient.compact; automatic context management is not supported",
    })
-  return yield* OpenResponses.fromRequestWithAdapter(request, adapter)
+  return yield* decodeBody(yield* OpenResponses.fromRequestWithAdapter(request, adapter))
 })

 const HOSTED_TOOLS = {
@@ -76,7 +83,7 @@ const step = (state: OpenResponses.ParserState, input: OpenResponses.Event) => {
 export const protocol = Protocol.make({
  id: ADAPTER,
  body: {
-    schema: OpenResponses.OpenResponsesBody,
+    schema: XAIResponsesBody,
    from: fromRequest,
  },
  stream: {
@@ -35,8 +35,6 @@ const patterns = [
  /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,
@@ -55,13 +53,7 @@ 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)) &&
@@ -1,20 +1,15 @@
 import { Route, type RouteDefaultsInput } from "../route/client.js"
 import { Endpoint } from "../route/endpoint.js"
 import type { ProviderPackage } from "../provider-package.js"
-import { AnthropicMessages } from "../protocols/anthropic-messages.js"
 import { OpenAIChat } from "../protocols/openai-chat.js"
 import { OpenResponses } from "../protocols/open-responses.js"
 import { BedrockAuth, type Credentials } from "../protocols/utils/bedrock-auth.js"
-import { claudeVersion } from "../protocols/utils/claude-model.js"
 import { ProviderConfigurationError, ProviderID, type ModelID } from "../schema/index.js"
 import { withOpenAIOptions, type OpenAIProviderOptionsInput } from "./openai-options.js"

 export const id = ProviderID.make("amazon-bedrock")

-export type OpenAIOptionsInput = OpenAIProviderOptionsInput
-export type MessagesOptionsInput = AnthropicMessages.ProviderOptionsInput
-
-export type Config = Omit<RouteDefaultsInput, "providerOptions"> & {
+export type Config = RouteDefaultsInput & {
  /** Bedrock API key. Falls back to `AWS_BEARER_TOKEN_BEDROCK`; bearer auth takes precedence over SigV4. */
  readonly apiKey?: string
  /** `sigv4` ignores `apiKey` fallbacks from the environment; `bearer` requires a token. */
@@ -25,11 +20,11 @@ export type Config = Omit<RouteDefaultsInput, "providerOptions"> & {
  /** Shared config profile for the default credential chain. */
  readonly profile?: string
  readonly region?: string
-  readonly providerOptions?: OpenAIProviderOptionsInput | AnthropicMessages.ProviderOptionsInput
+  readonly providerOptions?: OpenAIProviderOptionsInput
 }

-export type Settings<Options = OpenAIProviderOptionsInput> = ProviderPackage.Settings &
-  Options & {
+export type Settings = ProviderPackage.Settings &
+  OpenAIProviderOptionsInput & {
    readonly apiKey?: string
    readonly auth?: "bearer" | "sigv4"
    readonly baseURL?: string
@@ -39,8 +34,6 @@ export type Settings<Options = OpenAIProviderOptionsInput> = ProviderPackage.Set
    readonly topP?: number
  }

-export type MessagesSettings = Settings<AnthropicMessages.ProviderOptionsInput>
-
 const responsesRoute = Route.make({
  id: "bedrock-mantle-responses",
  provider: id,
@@ -57,35 +50,12 @@ const chatRoute = OpenAIChat.route.with({
  providerMetadataKey: "mantle",
 })

-const messagesRoute = Route.make({
-  id: "bedrock-mantle-messages",
-  provider: id,
-  providerMetadataKey: "mantle",
-  protocol: {
-    ...AnthropicMessages.protocol,
-    // Mantle rejects mid-conversation `output_config` on Opus 5.0; support starts at 5.1+.
-    supportsEffortUpdates: (request) => {
-      const override = request.model.compatibility?.supportsEffortUpdates
-      if (override !== undefined) return override
-      const version = claudeVersion(request.model.id)
-      return version !== undefined && (version.major > 5 || (version.major === 5 && version.minor >= 1))
-    },
-  },
-  endpoint: Endpoint.path(AnthropicMessages.PATH),
-  transport: AnthropicMessages.transport<AnthropicMessages.AnthropicMessagesBody>(),
-  headers: () => ({ "anthropic-version": "2023-06-01" }),
-})
+export const routes = [responsesRoute, chatRoute]

-export const routes = [responsesRoute, chatRoute, messagesRoute]
-
-const configuredRoute = <Body, Prepared>(
-  route: Route<Body, Prepared>,
-  input: Config,
-  defaultBaseURL = (region: string) => `https://bedrock-mantle.${region}.api.aws/v1`,
-) => {
+const configuredRoute = <Body, Prepared>(route: Route<Body, Prepared>, input: Config) => {
  const region = BedrockAuth.resolveRegion(input)
  return route.with({
-    endpoint: { baseURL: input.baseURL ?? defaultBaseURL(region) },
+    endpoint: { baseURL: input.baseURL ?? `https://bedrock-mantle.${region}.api.aws/v1` },
    auth: BedrockAuth.resolveAuth(input, region, {
      service: "bedrock-mantle",
      name: "Bedrock Mantle",
@@ -117,11 +87,6 @@ export const configure = (input: Config = {}) => {
    })
  const configuredResponsesRoute = configuredRoute(responsesRoute, input)
  const configuredChatRoute = configuredRoute(chatRoute, input)
-  const configuredMessagesRoute = configuredRoute(
-    messagesRoute,
-    input,
-    (region) => `https://bedrock-mantle.${region}.api.aws/anthropic/v1`,
-  )
  const modelDefaults = defaults(input)
  const responses = (modelID: string | ModelID) =>
    configuredResponsesRoute
@@ -131,14 +96,11 @@ export const configure = (input: Config = {}) => {
    configuredChatRoute
      .with(withOpenAIOptions(modelID, modelDefaults))
      .model<OpenAIProviderOptionsInput>({ id: modelID })
-  const messages = (modelID: string | ModelID) =>
-    configuredMessagesRoute.with(modelDefaults).model<AnthropicMessages.ProviderOptionsInput>({ id: modelID })

  return {
    id,
    model: responses,
    chat,
-    messages,
    responses,
    configure,
  }
@@ -157,7 +119,7 @@ const fromSettings = ({
  region,
  topP,
  ...providerOptions
-}: Settings<Config["providerOptions"]>) =>
+}: Settings) =>
  configure({
    apiKey,
    auth,
@@ -175,10 +137,6 @@ export const chatModel: ProviderPackage.Definition<Settings, OpenAIProviderOptio
  modelID,
  settings,
 ) => fromSettings(settings).chat(modelID)
-export const messagesModel: ProviderPackage.Definition<
-  MessagesSettings,
-  AnthropicMessages.ProviderOptionsInput
->["model"] = (modelID, settings) => fromSettings(settings).messages(modelID)
 export const responsesModel: ProviderPackage.Definition<Settings, OpenAIProviderOptionsInput>["model"] = (
  modelID,
  settings,
@@ -1,2 +0,0 @@
-export { messagesModel as model } from "../../amazon-bedrock-mantle.js"
-export type { MessagesSettings as Settings } from "../../amazon-bedrock-mantle.js"
@@ -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: {
@@ -54,7 +54,6 @@ const route = Route.make({
        ),
    },
    stream: AnthropicMessages.protocol.stream,
-    supportsEffortUpdates: AnthropicMessages.protocol.supportsEffortUpdates,
  }),
  endpoint: Endpoint.path(({ request }) => `/${request.model.id}:streamRawPredict`),
  auth: Auth.none,
@@ -5,7 +5,6 @@ import { MediaRoute } from "../route/media.js"
 import type { ProviderPackage } from "../provider-package.js"
 import { ProviderID, type ModelID } from "../schema/index.js"
 import { Gemini } from "../protocols/gemini.js"
-import { GoogleInteractions } from "../protocols/google-interactions.js"
 import { GoogleImages } from "../protocols/google-images.js"
 import { GoogleSpeech } from "../protocols/google-speech.js"
 import { GoogleTranscription } from "../protocols/google-transcription.js"
@@ -17,16 +16,15 @@ export type { GoogleTranscriptionOptions } from "../protocols/google-transcripti
 export type { GoogleVideoOptions } from "../protocols/google-video.js"
 export type GeminiOptionsInput = Gemini.OptionsInput
 export type GeminiProviderOptionsInput = Gemini.ProviderOptionsInput
-export type GoogleInteractionsOptionsInput = GoogleInteractions.OptionsInput

 export const id = ProviderID.make("google")

-export const routes = [Gemini.route, GoogleInteractions.route]
+export const routes = [Gemini.route]

 export type Config = RouteDefaultsInput &
  ProviderAuthOption<"optional"> & {
    readonly baseURL?: string
-    readonly providerOptions?: Gemini.ProviderOptionsInput & GoogleInteractions.ProviderOptionsInput
+    readonly providerOptions?: Gemini.ProviderOptionsInput
  }

 export type Settings = ProviderPackage.Settings &
@@ -47,19 +45,12 @@ const configuredRoute = (input: Config) => {
  return Gemini.route.with({ ...rest, endpoint: { baseURL }, auth: auth(input) })
 }

-const interactionsRoute = (input: Config) => {
-  const { apiKey: _, auth: _auth, baseURL, ...rest } = input
-  return GoogleInteractions.route.with({ ...rest, endpoint: { baseURL }, auth: auth(input) })
-}
-
 export const configure = (input: Config = {}) => {
  const route = configuredRoute(input)
  const media = MediaRoute.deployment(input, auth(input))
  return {
    id,
    model: (modelID: string | ModelID) => route.model<Gemini.ProviderOptionsInput>({ id: modelID }),
-    interactions: (modelID: string | ModelID) =>
-      interactionsRoute(input).model<GoogleInteractions.ProviderOptionsInput>({ id: modelID }),
    image: (modelID: string | ModelID) => GoogleImages.model({ ...media, id: modelID }),
    video: (modelID: string | ModelID) => GoogleVideo.model({ ...media, id: modelID }),
    speech: (modelID: string | ModelID) => GoogleSpeech.model({ ...media, id: modelID }),
@@ -82,7 +73,6 @@ export const model: ProviderPackage.Definition<Settings, Gemini.ProviderOptionsI
  }).model(modelID)

 export const image = provider.image
-export const interactions = provider.interactions
 export const video = provider.video
 export const speech = provider.speech
 export const transcription = provider.transcription
@@ -1,21 +0,0 @@
-import { configure } from "../google.js"
-import type { ProviderPackage } from "../../provider-package.js"
-import type { GoogleInteractions } from "../../protocols/google-interactions.js"
-
-export type Settings = ProviderPackage.Settings &
-  GoogleInteractions.ProviderOptionsInput & {
-    readonly apiKey?: string
-    readonly baseURL?: string
-  }
-
-export const model: ProviderPackage.Definition<Settings, GoogleInteractions.ProviderOptionsInput>["model"] = (
-  modelID,
-  { apiKey, baseURL, body, headers, ...providerOptions },
-) =>
-  configure({
-    apiKey,
-    baseURL,
-    headers: headers === undefined ? undefined : { ...headers },
-    http: body === undefined ? undefined : { body: { ...body } },
-    providerOptions,
-  }).interactions(modelID)
@@ -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"
@@ -40,7 +38,6 @@ export * as Stability from "./stability.js"
 export * as TogetherAI from "./togetherai.js"
 export * as TypeSafeAI from "./typesafe-ai.js"
 export * as VercelAIGateway from "./vercel-ai-gateway.js"
-export * as Venice from "./venice.js"
 export * as XAI from "./xai.js"
 export * as ZAI from "./zai.js"
 export * as ZAICodingPlan from "./zai-coding-plan.js"
@@ -50,7 +50,7 @@ export const gpt5DefaultOptions = (modelID: string): ProviderOptions | undefined
 export const openAIDefaultOptions = (modelID: string): ProviderOptions | undefined =>
  mergeProviderOptions(openAIProviderOptions({ store: false }), gpt5DefaultOptions(modelID))

-export const withOpenAIOptions = <Options extends { readonly providerOptions?: ProviderOptions }>(
+export const withOpenAIOptions = <Options extends { readonly providerOptions?: OpenAIProviderOptionsInput }>(
  modelID: string,
  options: Options,
 ): Omit<Options, "providerOptions"> & { readonly providerOptions?: ProviderOptions } => {
@@ -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) =>
@@ -1,62 +0,0 @@
-import type { ProviderPackage } from "../provider-package.js"
-import { VeniceChat } from "../protocols/venice-chat.js"
-import { OpenAIChat } from "../protocols/openai-chat.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 { ProviderID, type ModelID } from "../schema/index.js"
-
-export const id = ProviderID.make("venice")
-export type ChatOptionsInput = VeniceChat.OptionsInput
-export type Config = Omit<RouteDefaultsInput, "providerOptions"> &
-  ProviderAuthOption<"optional"> & {
-    readonly baseURL?: string
-    readonly queryParams?: Readonly<Record<string, string>>
-    readonly providerOptions?: ChatOptionsInput
-  }
-export type Settings = ProviderPackage.Settings &
-  ChatOptionsInput & {
-    readonly apiKey?: string
-    readonly baseURL?: string
-    readonly queryParams?: Readonly<Record<string, string>>
-  }
-
-const route = Route.make({
-  id: "venice-chat",
-  provider: id,
-  providerMetadataKey: "venice",
-  protocol: VeniceChat.protocol,
-  endpoint: Endpoint.path("/chat/completions", { baseURL: "https://api.venice.ai/api/v1" }),
-  framing: OpenAIChat.framing,
-})
-export const routes = [route]
-
-export const configure = (input: Config = {}) => {
-  const { apiKey: _apiKey, auth: _auth, baseURL, queryParams, ...rest } = input
-  const chat = (modelID: string | ModelID) =>
-    route
-      .with({
-        ...rest,
-        endpoint: { baseURL: baseURL ?? route.endpoint.baseURL, query: queryParams },
-        auth: AuthOptions.bearer(input, "VENICE_API_KEY"),
-      })
-      .model<ChatOptionsInput>({ id: modelID, compatibility: VeniceChat.compatibility })
-  return { id, model: chat, chat, configure }
-}
-
-export const provider = configure()
-export const chat = provider.chat
-export const model: ProviderPackage.Definition<Settings, ChatOptionsInput>["model"] = (
-  modelID,
-  { apiKey, baseURL, queryParams, body, headers, ...providerOptions },
-) =>
-  configure({
-    apiKey,
-    baseURL,
-    queryParams,
-    headers,
-    http: body === undefined ? undefined : { body: { ...body } },
-    providerOptions,
-  }).model(modelID)
-
-export * as Venice from "./venice.js"
@@ -358,6 +358,7 @@ function makeFromTransport<Body, Prepared, Frame, Event, State>(
  input: MakeTransportInput<Body, Prepared, Frame, Event, State>,
 ): Route<Body, Prepared> {
  const protocol = input.protocol
+  const encodeBody = Schema.encodeSync(Schema.fromJsonString(protocol.body.schema))
  const decodeEventEffect = Schema.decodeUnknownEffect(protocol.stream.event)
  const decodeEvent = (route: string) => (frame: Frame) =>
    decodeEventEffect(frame).pipe(
@@ -416,7 +417,7 @@ function makeFromTransport<Body, Prepared, Frame, Event, State>(
          request,
          endpoint: routeInput.endpoint,
          auth: routeInput.auth ?? Auth.none,
-          encodeBody: ProviderShared.encodeJson,
+          encodeBody,
          middleware: options?.http,
          webSocket: options?.webSocket,
        }),
@@ -575,7 +576,9 @@ const compile = Effect.fn("LLM.compile")(function* (request: LLMRequest, options
  const resolved = prepareRequest(request)
  const route = resolved.model.route

-  const body = yield* route.body.from(resolved)
+  const body = yield* route.body
+    .from(resolved)
+    .pipe(Effect.flatMap(ProviderShared.validateWith(Schema.decodeUnknownEffect(route.body.schema))))
  const prepared = yield* route.prepareTransport(body, resolved, options)

  return {
@@ -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",
@@ -1,5 +1,5 @@
 import { Effect, Stream } from "effect"
-import { makeParser } from "effect/unstable/encoding/Sse"
+import { makeParser, type Event } from "effect/unstable/encoding/Sse"
 import { AIError, InvalidProviderOutputError } from "../schema/index.js"

 /**
@@ -42,39 +42,43 @@ export const sseFraming = (
    Stream.decodeText(),
    Stream.mapAccumEffect(
      () => {
-        const output: string[] = []
+        const output: Event[] = []
        return {
          output,
          parser: makeParser((event) => {
-            if (
-              event._tag === "Event" &&
-              (events === undefined || events.has(event.event)) &&
-              event.data.length > 0 &&
-              // Some OpenAI-compatible proxies serialize an empty flush as a bare
-              // `data: null`, between events or after `[DONE]`. No protocol has a
-              // null event, so it carries nothing and must not abort the stream.
-              event.data !== "null" &&
-              // Vertex AI partner models (e.g. `xai/grok-4.6`) send their SSE
-              // keepalive comment as `data: : keepalive` while reasoning.
-              event.data !== ": keepalive" &&
-              (event.data !== "[DONE]" || includeDone || (events !== undefined && event.event !== "message"))
-            )
-              output.push(event.data)
+            if (event._tag === "Event") output.push(event)
          }),
        }
      },
-      (state, chunk) => {
-        const error = state.parser.feed(chunk)
-        if (!error) return Effect.succeed([state, state.output.splice(0)] as const)
-        const reason = new InvalidProviderOutputError({
-          route: "sse",
-          message: error.message,
-          body: chunk,
-          cause: error,
-        })
-        return Effect.fail(new AIError({ reason }))
-      },
+      (state, chunk) =>
+        Effect.gen(function* () {
+          const error = state.parser.feed(chunk)
+          if (error)
+            return yield* new AIError({
+              reason: new InvalidProviderOutputError({
+                route: "sse",
+                message: error.message,
+                body: chunk,
+                cause: error,
+              }),
+            })
+          return [state, state.output.splice(0)] as const
+        }),
    ),
+    Stream.filter(
+      (event) =>
+        (events === undefined || events.has(event.event)) &&
+        event.data.length > 0 &&
+        // Some OpenAI-compatible proxies serialize an empty flush as a bare
+        // `data: null`, between events or after `[DONE]`. No protocol has a
+        // null event, so it carries nothing and must not abort the stream.
+        event.data !== "null" &&
+        // Vertex AI partner models (e.g. `xai/grok-4.6`) send their SSE
+        // keepalive comment as `data: : keepalive` while reasoning.
+        event.data !== ": keepalive" &&
+        (event.data !== "[DONE]" || includeDone || (events !== undefined && event.event !== "message")),
+    ),
+    Stream.map((event) => event.data),
  )

 /** Server-Sent Events framing. Used by every JSON-streaming HTTP provider. */
@@ -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")({
@@ -14,6 +14,7 @@ import * as GoogleVertexChat from "../src/providers/google-vertex-chat.js"
 import * as GoogleVertexMessages from "../src/providers/google-vertex-messages.js"
 import * as GoogleVertexResponses from "../src/providers/google-vertex-responses.js"
 import * as OpenAI from "../src/providers/openai.js"
+import * as OpenAICompatible from "../src/providers/openai-compatible.js"
 import * as OpenRouter from "../src/providers/openrouter.js"
 import * as XAI from "../src/providers/xai.js"

@@ -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(
@@ -1,12 +1,13 @@
 import { describe, expect, test } from "bun:test"
 import { Effect } from "effect"
-import { LLM, Message, ToolCallPart } from "../src/index.js"
+import { LLM, LLMRequest, Message, ToolCallPart } from "../src/index.js"
 import { Auth, LLMClient } from "../src/route.js"
 import { compileRequest } from "../src/route/client.js"
 import { AnthropicMessages } from "../src/protocols/anthropic-messages.js"
 import { OpenAIResponses } from "../src/protocols/openai-responses.js"
 import { Gemini } from "../src/protocols/gemini.js"
-import { AmazonBedrockMantle, GoogleVertexMessages, OpenAI } from "../src/providers.js"
+import { GoogleVertexMessages, OpenAI } from "../src/providers.js"
+import { applyCachePolicy } from "../src/cache-policy.js"
 import { applyEffortUpdates } from "../src/effort-updates.js"
 import { it, testEffect } from "./lib/effect.js"
 import { dynamicResponse } from "./lib/http.js"
@@ -171,33 +172,6 @@ describe("Anthropic Messages effort updates", () => {
    }),
  )

-  it.effect("releases a held system update next to an effort marker as one valid section", () =>
-    Effect.gen(function* () {
-      const prepared = yield* compileRequest(
-        LLM.request({
-          model: opus5,
-          messages: [
-            Message.user("Fix it."),
-            Message.assistant("Done."),
-            lowFromHigh,
-            Message.system("Update."),
-            Message.user("Next."),
-          ],
-          providerOptions: { effort: "low" },
-          cache: "none",
-        }),
-      )
-
-      expect(prepared.body.messages).toEqual([
-        { role: "user", content: [{ type: "text", text: "Fix it." }] },
-        { role: "assistant", content: [{ type: "text", text: "Done." }] },
-        { role: "system", content: [], output_config: { effort: "low" } },
-        { role: "user", content: [{ type: "text", text: "Next." }] },
-        { role: "system", content: [{ type: "text", text: "Update.", cache_control: undefined }] },
-      ])
-    }),
-  )
-
  it.effect("falls back to a plain top-level effort when history drifted from the current effort", () =>
    Effect.gen(function* () {
      const drifted = yield* compileRequest(
@@ -223,15 +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}`, () =>
@@ -268,53 +236,20 @@ describe("Anthropic Messages effort updates", () => {
    }),
  )

-  it.effect("strips markers for Opus 5.0 on Bedrock Mantle Messages while lowering Opus 5.5", () =>
+  it.effect("strips markers on the Vertex Anthropic route, whose protocol wrapper does not forward support", () =>
    Effect.gen(function* () {
-      const mantle = AmazonBedrockMantle.configure({ apiKey: "test", region: "us-east-1" })
-      const opus50 = yield* compileRequest(
+      const prepared = yield* compileRequest(
        LLM.request({
-          model: mantle.messages("anthropic.claude-opus-5"),
-          messages: conversation,
-          providerOptions: { effort: "low" },
-        }),
-      )
-      const opus55 = yield* compileRequest(
-        LLM.request({
-          model: mantle.messages("anthropic.claude-opus-5-5"),
+          model: GoogleVertexMessages.configure({ accessToken: "test", location: "global", project: "test" }).model(
+            "claude-opus-5",
+          ),
          messages: conversation,
          providerOptions: { effort: "low" },
        }),
      )

-      expect(systemMessages(opus50.body)).toHaveLength(0)
-      expect(opus50.body.output_config).toEqual({ effort: "low" })
-      expect(systemMessages(opus55.body)).toEqual([{ role: "system", content: [], output_config: { effort: "low" } }])
-      expect(opus55.body.output_config).toEqual({ effort: "high" })
-    }),
-  )
-
-  it.effect("lowers markers on the Vertex Anthropic route for models that support them", () =>
-    Effect.gen(function* () {
-      const vertex = GoogleVertexMessages.configure({ accessToken: "test", location: "global", project: "test" })
-      const opus5 = yield* compileRequest(
-        LLM.request({
-          model: vertex.model("claude-opus-5"),
-          messages: conversation,
-          providerOptions: { effort: "low" },
-        }),
-      )
-      const opus48 = yield* compileRequest(
-        LLM.request({
-          model: vertex.model("claude-opus-4-8"),
-          messages: conversation,
-          providerOptions: { effort: "low" },
-        }),
-      )
-
-      expect(systemMessages(opus5.body)).toEqual([{ role: "system", content: [], output_config: { effort: "low" } }])
-      expect(opus5.body.output_config).toEqual({ effort: "high" })
-      expect(systemMessages(opus48.body)).toHaveLength(0)
-      expect(opus48.body.output_config).toEqual({ effort: "low" })
+      expect(systemMessages(prepared.body)).toHaveLength(0)
+      expect(prepared.body.output_config).toEqual({ effort: "low" })
    }),
  )
 })
@@ -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": {
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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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@@ -11,7 +11,7 @@
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-    "recordedAt": "2026-10-02T01:23:26.218Z"
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      }
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  ]
@@ -0,0 +1,29 @@
+{
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+        "url": "https://api.anthropic.com/v1/messages",
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+        },
+        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"model\":\"claude-haiku-4-5-20251001\",\"id\":\"msg_01SikJVFaMR1XLMtavUhvuog\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"stop_reason\":null,\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":638,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"output_tokens\":1,\"service_tier\":\"standard\",\"inference_geo\":\"not_available\"}}               }\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}          }\n\nevent: ping\ndata: {\"type\": \"ping\"}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"The\"}     }\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" weather in Paris is currently 72°F.\"}        }\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\",\"stop_sequence\":null,\"stop_details\":null},\"usage\":{\"input_tokens\":638,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"output_tokens\":14}              }\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"             }\n\n"
+      }
+    }
+  ]
+}
@@ -0,0 +1,56 @@
+{
+  "version": 1,
+  "metadata": {
+    "name": "anthropic-messages/claude-opus-4-7-drives-a-tool-loop",
+    "recordedAt": "2026-05-03T19:59:44.186Z",
+    "tags": [
+      "prefix:anthropic-messages",
+      "provider:anthropic",
+      "protocol:anthropic-messages",
+      "tool",
+      "tool-loop",
+      "golden",
+      "flagship"
+    ]
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://api.anthropic.com/v1/messages",
+        "headers": {
+          "anthropic-version": "2023-06-01",
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"claude-opus-4-7\",\"system\":[{\"type\":\"text\",\"text\":\"Use the get_weather tool, then answer in one short sentence.\"}],\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is the weather in Paris?\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"stream\":true,\"max_tokens\":80}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream; charset=utf-8"
+        },
+        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"model\":\"claude-opus-4-7\",\"id\":\"msg_01DgAEgLgB1ZhavZon4qGE1t\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"stop_reason\":null,\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":798,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"output_tokens\":0,\"service_tier\":\"standard\",\"inference_geo\":\"global\"}}    }\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"tool_use\",\"id\":\"toolu_01M8nJQQMxqpv1VaPYuJKT4j\",\"name\":\"get_weather\",\"input\":{},\"caller\":{\"type\":\"direct\"}}              }\n\nevent: ping\ndata: {\"type\": \"ping\"}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"\"} }\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"{\\\"city\\\": \"}              }\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"\\\"Pa\"}    }\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"ris\\\"}\"}  }\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0           }\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"tool_use\",\"stop_sequence\":null,\"stop_details\":null},\"usage\":{\"input_tokens\":798,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"output_tokens\":66}             }\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"            }\n\n"
+      }
+    },
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://api.anthropic.com/v1/messages",
+        "headers": {
+          "anthropic-version": "2023-06-01",
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"claude-opus-4-7\",\"system\":[{\"type\":\"text\",\"text\":\"Use the get_weather tool, then answer in one short sentence.\"}],\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is the weather in Paris?\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"tool_use\",\"id\":\"toolu_01M8nJQQMxqpv1VaPYuJKT4j\",\"name\":\"get_weather\",\"input\":{\"city\":\"Paris\"}}]},{\"role\":\"user\",\"content\":[{\"type\":\"tool_result\",\"tool_use_id\":\"toolu_01M8nJQQMxqpv1VaPYuJKT4j\",\"content\":\"{\\\"temperature\\\":22,\\\"condition\\\":\\\"sunny\\\"}\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"stream\":true,\"max_tokens\":80}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream; charset=utf-8"
+        },
+        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"model\":\"claude-opus-4-7\",\"id\":\"msg_011KJqj32QjkrUAiBFxhmEoG\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"stop_reason\":null,\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":895,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"output_tokens\":5,\"service_tier\":\"standard\",\"inference_geo\":\"global\"}}       }\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}            }\n\nevent: ping\ndata: {\"type\": \"ping\"}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"Paris is curr\"}   }\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"ently sunny at 22°C.\"}           }\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0        }\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\",\"stop_sequence\":null,\"stop_details\":null},\"usage\":{\"input_tokens\":895,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"output_tokens\":19}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
+      }
+    }
+  ]
+}
@@ -0,0 +1,29 @@
+{
+  "version": 1,
+  "metadata": {
+    "name": "anthropic-messages/rejects-malformed-assistant-tool-order-without-patch",
+    "recordedAt": "2026-05-05T20:08:42.597Z",
+    "tags": ["prefix:anthropic-messages", "provider:anthropic", "protocol:anthropic-messages", "tool", "sad-path"]
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://api.anthropic.com/v1/messages",
+        "headers": {
+          "anthropic-version": "2023-06-01",
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"claude-haiku-4-5-20251001\",\"messages\":[{\"role\":\"assistant\",\"content\":[{\"type\":\"tool_use\",\"id\":\"call_1\",\"name\":\"get_weather\",\"input\":{\"city\":\"Paris\"}},{\"type\":\"text\",\"text\":\"I will check the weather.\"}]},{\"role\":\"user\",\"content\":[{\"type\":\"tool_result\",\"tool_use_id\":\"call_1\",\"content\":\"{\\\"temperature\\\":\\\"72F\\\"}\"}]},{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Use that result to answer briefly.\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get weather\",\"input_schema\":{\"type\":\"object\",\"properties\":{}}}],\"stream\":true,\"max_tokens\":4096}"
+      },
+      "response": {
+        "status": 400,
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"type\":\"error\",\"error\":{\"type\":\"invalid_request_error\",\"message\":\"messages.1: `tool_use` ids were found without `tool_result` blocks immediately after: call_1. Each `tool_use` block must have a corresponding `tool_result` block in the next message.\"},\"request_id\":\"req_011Cak2XdJgnzxKCY2BC2Beh\"}"
+      }
+    }
+  ]
+}
@@ -0,0 +1,29 @@
+{
+  "version": 1,
+  "metadata": {
+    "name": "anthropic-messages/streams-text",
+    "recordedAt": "2026-04-28T21:18:45.535Z",
+    "tags": ["prefix:anthropic-messages", "provider:anthropic", "protocol:anthropic-messages"]
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://api.anthropic.com/v1/messages",
+        "headers": {
+          "anthropic-version": "2023-06-01",
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"claude-haiku-4-5-20251001\",\"system\":[{\"type\":\"text\",\"text\":\"You are concise.\"}],\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Reply with exactly: Hello!\"}]}],\"stream\":true,\"max_tokens\":20,\"temperature\":0}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream; charset=utf-8"
+        },
+        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"model\":\"claude-haiku-4-5-20251001\",\"id\":\"msg_01UodR8c3ezAK8rAfi8HAs8g\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"stop_reason\":null,\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":18,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"output_tokens\":2,\"service_tier\":\"standard\",\"inference_geo\":\"not_available\"}}          }\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}    }\n\nevent: ping\ndata: {\"type\": \"ping\"}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"Hello!\"}    }\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0   }\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\",\"stop_sequence\":null,\"stop_details\":null},\"usage\":{\"input_tokens\":18,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"output_tokens\":5}             }\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"         }\n\n"
+      }
+    }
+  ]
+}
@@ -0,0 +1,29 @@
+{
+  "version": 1,
+  "metadata": {
+    "name": "anthropic-messages/streams-tool-call",
+    "recordedAt": "2026-04-28T21:18:46.878Z",
+    "tags": ["prefix:anthropic-messages", "provider:anthropic", "protocol:anthropic-messages", "tool"]
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://api.anthropic.com/v1/messages",
+        "headers": {
+          "anthropic-version": "2023-06-01",
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"claude-haiku-4-5-20251001\",\"system\":[{\"type\":\"text\",\"text\":\"Call tools exactly as requested.\"}],\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Call get_weather with city exactly Paris.\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"tool_choice\":{\"type\":\"tool\",\"name\":\"get_weather\"},\"stream\":true,\"max_tokens\":80,\"temperature\":0}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream; charset=utf-8"
+        },
+        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"model\":\"claude-haiku-4-5-20251001\",\"id\":\"msg_01RYgU7NUPMK4B9v8S7gVpCS\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"stop_reason\":null,\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":677,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"output_tokens\":16,\"service_tier\":\"standard\",\"inference_geo\":\"not_available\"}}             }\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"tool_use\",\"id\":\"toolu_012rmAruviySvUXSjgCPWVRu\",\"name\":\"get_weather\",\"input\":{},\"caller\":{\"type\":\"direct\"}}      }\n\nevent: ping\ndata: {\"type\": \"ping\"}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"\"}             }\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"{\\\"city\\\":\"}    }\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\" \\\"Paris\\\"}\"}     }\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0     }\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"tool_use\",\"stop_sequence\":null,\"stop_details\":null},\"usage\":{\"input_tokens\":677,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"output_tokens\":33}              }\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"     }\n\n"
+      }
+    }
+  ]
+}
@@ -1,57 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "model": "anthropic.claude-opus-5-5",
-    "tags": [
-      "prefix:bedrock-mantle-messages",
-      "provider:amazon-bedrock",
-      "protocol:anthropic-messages",
-      "reasoning",
-      "effort-update"
-    ],
-    "name": "bedrock-mantle-messages/applies-mid-conversation-effort-updates-and-thinking-block-binding-on-opus-5-5",
-    "recordedAt": "2026-10-04T03:56:23.139Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://bedrock-mantle.us-east-1.api.aws/anthropic/v1/messages",
-        "headers": {
-          "anthropic-beta": "interleaved-thinking-2025-05-14,thinking-binding-controls-2026-08-01",
-          "anthropic-version": "2023-06-01",
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"anthropic.claude-opus-5-5\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Compute 37 * 43 step by step, then reply with only the integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"max_tokens\":2048,\"thinking\":{\"type\":\"adaptive\",\"display\":\"summarized\",\"block_binding\":{\"prefix_mismatch_behavior\":\"drop_block\"}},\"output_config\":{\"effort\":\"high\"}}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream; charset=utf-8"
-        },
-        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"model\":\"claude-opus-5-5\",\"id\":\"msg_bdrk_y7h2x5bz6w6ggmekuxekbi6rseptglsljkwgj36phisnsnu3syea\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"container\":null,\"stop_reason\":null,\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":31,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"output_tokens\":2,\"service_tier\":\"standard\"},\"input_transformations\":[]}}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"thinking\",\"thinking\":\"\",\"signature\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"They\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" want\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" only\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" the final\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" integer, so\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" I just\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" need\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" to compute 37\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"×43 \"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"using the dif\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"ference of squares: 40\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"²−3²\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" = 1600−9 =\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" 1591.\\n\\n\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"signature_delta\",\"signature\":\"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\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":1,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"text_delta\",\"text\":\"1591\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":1}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\",\"stop_sequence\":null,\"stop_details\":null,\"container\":null},\"usage\":{\"input_tokens\":31,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"output_tokens\":86,\"output_tokens_details\":{\"thinking_tokens\":82}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
-      }
-    },
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://bedrock-mantle.us-east-1.api.aws/anthropic/v1/messages",
-        "headers": {
-          "anthropic-beta": "interleaved-thinking-2025-05-14,mid-conversation-output-config-2026-07-01,thinking-binding-controls-2026-08-01",
-          "anthropic-version": "2023-06-01",
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-{
-  "version": 1,
-  "metadata": {
-    "model": "anthropic.claude-opus-5",
-    "tags": [
-      "prefix:bedrock-mantle-messages",
-      "provider:amazon-bedrock",
-      "protocol:anthropic-messages",
-      "reasoning",
-      "effort-update"
-    ],
-    "name": "bedrock-mantle-messages/strips-unsupported-mid-conversation-effort-updates-on-opus-5-0",
-    "recordedAt": "2026-10-04T03:56:23.956Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://bedrock-mantle.us-east-1.api.aws/anthropic/v1/messages",
-        "headers": {
-          "anthropic-beta": "interleaved-thinking-2025-05-14",
-          "anthropic-version": "2023-06-01",
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-        "body": "{\"model\":\"anthropic.claude-opus-5\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 12 + 30?\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"text\",\"text\":\"42\"}]},{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Add 8 to that result. Reply with only the integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"max_tokens\":1024,\"thinking\":{\"type\":\"adaptive\",\"display\":\"summarized\"},\"output_config\":{\"effort\":\"low\"}}"
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-      "response": {
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@@ -1,49 +0,0 @@
-{
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-      "provider:cohere"
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-    "name": "cohere/continues-a-native-tool-call",
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-      },
-      "response": {
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{\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" takes\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" a\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" city\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" parameter\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\".\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" The\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" user\"}}}}\n\nevent: content-delta\ndata: 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{\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" city\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\".\"}}}}\n\nevent: conteLine truncated
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-      "request": {
-        "method": "POST",
-        "url": "https://api.cohere.com/v2/chat",
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-        "body": "{\"model\":\"command-a-plus-05-2026\",\"messages\":[{\"role\":\"system\",\"content\":[{\"type\":\"text\",\"text\":\"Use the get_weather tool exactly once.\"},{\"type\":\"text\",\"text\":\"After the tool result, reply exactly: Paris is sunny.\"}]},{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is the weather in Paris?\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"The user is asking for the weather in Paris. I have a get_weather function available that takes a city parameter. The user specifically mentioned \\\"Paris\\\" as the city. I need to use the get_weather tool exactly once as per the policies, and I have all the required parameters (city = \\\"Paris\\\").\\n\\nLet me call the function with the city parameter set to \\\"Paris\\\".\"}],\"tool_calls\":[{\"id\":\"get_weather_vfp5ryredwrg\",\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"arguments\":\"{\\\"city\\\":\\\"Paris\\\"}\"}}]},{\"role\":\"tool\",\"content\":\"{\\\"temperature\\\":22,\\\"condition\\\":\\\"sunny\\\"}\",\"tool_call_id\":\"get_weather_vfp5ryredwrg\"}],\"stream\":true,\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}}],\"max_tokens\":2048}"
-      },
-      "response": {
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-        "body": "event: message-start\ndata: {\"id\":\"0c6cba0e-442d-4e28-96b2-c3cd6ff3b22d\",\"type\":\"message-start\",\"delta\":{\"message\":{\"role\":\"assistant\",\"content\":[],\"tool_plan\":\"\",\"tool_calls\":[],\"citations\":[]}}}\n\nevent: content-start\ndata: {\"type\":\"content-start\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"type\":\"thinking\",\"thinking\":\"\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\"The\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" function\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" returned\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" weather\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" data\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" for\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" Paris\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\".\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" The\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" result\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" shows\"}}}}\n\nevent: content-delta\ndata: 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@@ -1,31 +0,0 @@
-{
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-      "provider:cohere"
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-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.cohere.ai/compatibility/v1/chat/completions",
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Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid fillLine truncated
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-      "transport": "http",
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Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid fillLine truncated
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-      }
-    }
-  ]
-}
@@ -1,54 +0,0 @@
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-      "provider:digitalocean",
-      "protocol:digitalocean-chat",
-      "cache",
-      "tool",
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-  "interactions": [
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@@ -1,53 +0,0 @@
-{
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-      "provider:digitalocean",
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-      "usage"
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-    "recordedAt": "2026-10-01T07:36:36.689Z"
-  },
-  "interactions": [
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-      "transport": "http",
-      "request": {
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Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and aLine truncated
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-      "response": {
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-      }
-    },
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-      "request": {
-        "method": "POST",
-        "url": "https://inference.do-ai.run/v1/chat/completions",
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Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and avoid filler. Cite numbers when known. You are a concise, factual assistant. Answer precisely and aLine truncated
-      },
-      "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"
-      }
-    }
-  ]
-}
@@ -1,66 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "tags": [
-      "prefix:google-interactions",
-      "provider:google",
-      "protocol:google-interactions"
-    ],
-    "name": "google-interactions/continues-tool-results-with-previous-interaction-id",
-    "recordedAt": "2026-10-03T18:10:17.900Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://generativelanguage.googleapis.com/v1beta/interactions",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"gemini-3.8-flash\",\"input\":[{\"type\":\"user_input\",\"content\":[{\"type\":\"text\",\"text\":\"What is the weather in Paris?\"}]}],\"stream\":true,\"store\":true,\"system_instruction\":\"Use get_weather for weather questions. Answer concisely after receiving the result.\",\"tools\":[{\"type\":\"function\",\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"generation_config\":{\"max_output_tokens\":2048,\"thinking_level\":\"low\",\"tool_choice\":\"any\"}}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
-        "body": "event: interaction.created\ndata: {\"interaction\":{\"id\":\"v1_ChdCMFhCYXRqeURhVDdxdHNQNWJLTXNBURIXQjBYQmF0anlEYVQ3cXRzUDViS01zQVE\",\"object\":\"interaction\",\"model\":\"gemini-3.8-flash\"},\"event_type\":\"interaction.created\"}\n\nevent: interaction.status_update\ndata: {\"interaction_id\":\"v1_ChdCMFhCYXRqeURhVDdxdHNQNWJLTXNBURIXQjBYQmF0anlEYVQ3cXRzUDViS01zQVE\",\"status\":\"in_progress\",\"event_type\":\"interaction.status_update\"}\n\nevent: step.start\ndata: {\"index\":0,\"step\":{\"type\":\"thought\"},\"event_type\":\"step.start\"}\n\nevent: step.delta\ndata: {\"index\":0,\"delta\":{\"signature\":\"EoACCv0BAWkUfRMR9cx79IeL9V4HvDAHann4OEdOjz7FebGRwlCFGJHqLGG1lG1d+9xzzyPXN0d60gjMwbeix1bE4cCckDeMV0vAkOfR/epPhvmcfI+vWK1nURu+3UcgUBQ9on4VlZFcnOg7SoihuvxuQB4qqT65EAyqi8ybd3P8NB+V/FNcTBvMmJuNNCNxI5KgwsHjdT+xLdssTieljIG3H99rSz3/Nv90dYEJIr0WsQ1a3ZevpD6gPts/8Id/Z92zQ3aq4LAr47rdItCVF5h63Lchi9QFrav5LGf6lNVAOnlHIyXBrlAnVbdLsAdzlemlHY+oIWNMncL/NKayCt+qvQ==\",\"type\":\"thought_signature\"},\"event_type\":\"step.delta\"}\n\nevent: step.stop\ndata: {\"index\":0,\"event_type\":\"step.stop\"}\n\nevent: step.start\ndata: {\"index\":1,\"step\":{\"id\":\"call_326996\",\"signature\":\"AWkUfRMR9cx79IeL9V4HvDAHann4OEdOjz7FebGRwlCFGJHqLGG1lG1d+9xzzyPXN0d60gjMwbeix1bE4cCckDeMV0vAkOfR/epPhvmcfI+vWK1nURu+3UcgUBQ9on4VlZFcnOg7SoihuvxuQB4qqT65EAyqi8ybd3P8NB+V/FNcTBvMmJuNNCNxI5KgwsHjdT+xLdssTieljIG3H99rSz3/Nv90dYEJIr0WsQ1a3ZevpD6gPts/8Id/Z92zQ3aq4LAr47rdItCVF5h63Lchi9QFrav5LGf6lNVAOnlHIyXBrlAnVbdLsAdzlemlHY+oIWNMncL/NKayCt+qvQ==\",\"type\":\"function_call\",\"name\":\"get_weather\",\"arguments\":{}},\"event_type\":\"step.start\"}\n\nevent: step.delta\ndata: {\"index\":1,\"delta\":{\"arguments\":\"{\\\"city\\\":\\\"Paris\\\"}\",\"type\":\"arguments_delta\"},\"event_type\":\"step.delta\"}\n\nevent: step.stop\ndata: {\"index\":1,\"event_type\":\"step.stop\"}\n\nevent: interaction.completed\ndata: {\"interaction\":{\"id\":\"v1_ChdCMFhCYXRqeURhVDdxdHNQNWJLTXNBURIXQjBYQmF0anlEYVQ3cXRzUDViS01zQVE\",\"status\":\"requires_action\",\"usage\":{\"total_tokens\":114,\"total_input_tokens\":68,\"input_tokens_by_modality\":[{\"modality\":\"text\",\"tokens\":68}],\"total_cached_tokens\":0,\"total_output_tokens\":16,\"total_tool_use_tokens\":0,\"total_thought_tokens\":30,\"raw_prompt_token\":107,\"model_invocation_token_counts\":[{\"prompt_tokens_details\":[{\"modality\":\"text\",\"tokens\":107}],\"candidates_tokens_details\":[{\"modality\":\"text\",\"tokens\":22}],\"thoughts_tokens_details\":[{\"modality\":\"text\",\"tokens\":30}]}],\"non_grounding_model_invocation_token_counts\":[{\"prompt_tokens_details\":[{\"modality\":\"text\",\"tokens\":107}],\"candidates_tokens_details\":[{\"modality\":\"text\",\"tokens\":22}],\"thoughts_tokens_details\":[{\"modality\":\"text\",\"tokens\":30}]}]},\"created\":\"2026-10-03T18:10:16Z\",\"updated\":\"2026-10-03T18:10:16Z\",\"service_tier\":\"standard\",\"object\":\"interaction\",\"model\":\"gemini-3.8-flash\"},\"event_type\":\"interaction.completed\"}\n\nevent: done\ndata: [DONE]\n\n"
-      }
-    },
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://generativelanguage.googleapis.com/v1beta/interactions",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"gemini-3.8-flash\",\"input\":[{\"type\":\"function_result\",\"call_id\":\"call_326996\",\"name\":\"get_weather\",\"result\":{\"temperature\":22,\"condition\":\"sunny\"}}],\"stream\":true,\"store\":false,\"previous_interaction_id\":\"v1_ChdCMFhCYXRqeURhVDdxdHNQNWJLTXNBURIXQjBYQmF0anlEYVQ3cXRzUDViS01zQVE\",\"system_instruction\":\"Use get_weather for weather questions. Answer concisely after receiving the result.\",\"tools\":[{\"type\":\"function\",\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"generation_config\":{\"max_output_tokens\":2048,\"thinking_level\":\"low\",\"tool_choice\":\"none\"}}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
-        "body": "event: interaction.created\ndata: {\"interaction\":{\"object\":\"interaction\",\"model\":\"gemini-3.8-flash\"},\"event_type\":\"interaction.created\"}\n\nevent: interaction.status_update\ndata: {\"status\":\"in_progress\",\"event_type\":\"interaction.status_update\"}\n\nevent: step.start\ndata: {\"index\":0,\"step\":{\"type\":\"thought\"},\"event_type\":\"step.start\"}\n\nevent: step.delta\ndata: {\"index\":0,\"delta\":{\"signature\":\"EmkKZwFpFH0TchP60hnCGy9QgdyJKikXfeP9DBx/BVTE92JiMUcdYnAQ7vGOt2zL8v0GQMbCshndVE0+WeHt0QXyzeeMeNFH/UQ5bxo3Vs+T3H1e6Fq3LFIjDuvYvMYMRLk44oULO1EhoCg=\",\"type\":\"thought_signature\"},\"event_type\":\"step.delta\"}\n\nevent: step.stop\ndata: {\"index\":0,\"event_type\":\"step.stop\"}\n\nevent: step.start\ndata: {\"index\":1,\"step\":{\"type\":\"model_output\"},\"event_type\":\"step.start\"}\n\nevent: step.delta\ndata: {\"index\":1,\"delta\":{\"text\":\"The weather in Paris\",\"type\":\"text\"},\"event_type\":\"step.delta\"}\n\nevent: step.delta\ndata: {\"index\":1,\"delta\":{\"text\":\" is sunny with a temperature of 22°C.\",\"type\":\"text\"},\"event_type\":\"step.delta\"}\n\nevent: step.stop\ndata: {\"index\":1,\"event_type\":\"step.stop\"}\n\nevent: interaction.completed\ndata: {\"interaction\":{\"status\":\"completed\",\"usage\":{\"total_tokens\":115,\"total_input_tokens\":99,\"input_tokens_by_modality\":[{\"modality\":\"text\",\"tokens\":99}],\"total_cached_tokens\":0,\"total_output_tokens\":16,\"total_tool_use_tokens\":0,\"total_thought_tokens\":0,\"raw_prompt_token\":134,\"model_invocation_token_counts\":[{\"prompt_tokens_details\":[{\"modality\":\"text\",\"tokens\":134}],\"candidates_tokens_details\":[{\"modality\":\"text\",\"tokens\":20}]}],\"non_grounding_model_invocation_token_counts\":[{\"prompt_tokens_details\":[{\"modality\":\"text\",\"tokens\":134}],\"candidates_tokens_details\":[{\"modality\":\"text\",\"tokens\":20}]}]},\"created\":\"2026-10-03T18:10:17Z\",\"updated\":\"2026-10-03T18:10:17Z\",\"service_tier\":\"standard\",\"object\":\"interaction\",\"model\":\"gemini-3.8-flash\"},\"event_type\":\"interaction.completed\"}\n\nevent: done\ndata: [DONE]\n\n"
-      }
-    },
-    {
-      "transport": "http",
-      "request": {
-        "method": "DELETE",
-        "url": "https://generativelanguage.googleapis.com/v1beta/interactions/v1_ChdCMFhCYXRqeURhVDdxdHNQNWJLTXNBURIXQjBYQmF0anlEYVQ3cXRzUDViS01zQVE",
-        "headers": {},
-        "body": ""
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{}"
-      }
-    }
-  ]
-}
Author	SHA1	Message	Date
Shoubhit Dash	497a5ba022	refactor(core): route plugin agent reads through one location helper	2026-10-01 16:07:59 +05:30
Shoubhit Dash	3e1452f975	feat(protocol): expose the default agent	2026-10-01 15:57:31 +05:30