fix(core): close remaining shell scanner soundness gaps and false opacity

Replace bashDelimited and bashExpansion with recursive-descent parsing in
scanBash so nested subshells, command substitutions, process substitutions,
brace groups, and nofork substitutions use the same tokenizer and command
parser rather than a separate delimiter pre-scan.

Update redirect.test.ts for 'pwd && cd >out /outside', where a real shell
executes cd /outside after the redirect while legacy tree-sitter drops the
trailing directory operand.

.github/workflows/check.yml

@@ -18,9 +18,20 @@ 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

.github/workflows/nix-eval.yml

@@ -2,9 +2,9 @@ name: nix-eval
 
 on:
   push:
-    branches: [dev]
+    branches: [dev, v2]
   pull_request:
-    branches: [dev]
+    branches: [dev, v2]
   workflow_dispatch:
 
 concurrency:

.github/workflows/test.yml

@@ -252,6 +252,13 @@ 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
@@ -264,3 +271,5 @@ 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

.oxlintrc.json

@@ -63,8 +63,60 @@
         "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",

bun.lock

@@ -122,7 +122,7 @@
         "@clack/core": "1.0.0-alpha.1",
         "@clack/prompts": "1.0.0-alpha.1",
         "@effect/platform-node": "catalog:",
-        "@opencode-ai/pty": "0.1.13",
+        "@opencode-ai/pty": "0.2.0",
         "@opencode/client": "workspace:*",
         "@opencode/plugin": "workspace:*",
         "@opencode/schema": "workspace:*",
@@ -133,6 +133,7 @@
         "@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",
@@ -354,7 +355,7 @@
         "@lydell/node-pty": "catalog:",
         "@modelcontextprotocol/client": "2.0.0",
         "@modelcontextprotocol/core": "2.0.0",
-        "@opencode-ai/pty": "0.1.13",
+        "@opencode-ai/pty": "0.2.0",
         "@opencode/ai": "workspace:*",
         "@opencode/codemode": "workspace:*",
         "@opencode/plugin": "workspace:*",
@@ -364,7 +365,7 @@
         "@parcel/watcher": "2.5.1",
         "@silvia-odwyer/photon-node": "0.3.4",
         "@standard-schema/spec": "catalog:",
-        "bun-pty": "0.4.8",
+        "bun-pty": "0.4.9",
         "diff": "catalog:",
         "drizzle-orm": "catalog:",
         "effect": "catalog:",
@@ -2166,19 +2167,19 @@
 
     "@opencode-ai/protocol": ["@opencode-ai/protocol@0.0.0-beta-18050", "", { "dependencies": { "@opencode-ai/schema": "0.0.0-beta-18050", "effect": "4.0.0-rc.111" } }, "sha512-HDQMnvGp8IU0MdBRbEuydX1WQm09BZ4HJm9iSMQwzweJuQ2HNscgzHJPIH6P02BsbbtfJ8J7sZGPItrz1tWSgw=="],
 
-    "@opencode-ai/pty": ["@opencode-ai/pty@0.1.13", "", { "optionalDependencies": { "@opencode-ai/pty-darwin-arm64": "0.1.13", "@opencode-ai/pty-darwin-x64": "0.1.13", "@opencode-ai/pty-linux-arm64-gnu": "0.1.13", "@opencode-ai/pty-linux-arm64-musl": "0.1.13", "@opencode-ai/pty-linux-x64-gnu": "0.1.13", "@opencode-ai/pty-linux-x64-musl": "0.1.13" }, "bin": { "opencode-pty": "bin/opencode-pty.js" } }, "sha512-WPCN8h8HaZhhUcrMG0zu+4D9vco0EZiEg/gCF1K3JPRN6UsHMiXq1HVIy5IlyfcoyjfViRmQmXYE4AuU3laBjA=="],
+    "@opencode-ai/pty": ["@opencode-ai/pty@0.2.0", "", { "optionalDependencies": { "@opencode-ai/pty-darwin-arm64": "0.2.0", "@opencode-ai/pty-darwin-x64": "0.2.0", "@opencode-ai/pty-linux-arm64-gnu": "0.2.0", "@opencode-ai/pty-linux-arm64-musl": "0.2.0", "@opencode-ai/pty-linux-x64-gnu": "0.2.0", "@opencode-ai/pty-linux-x64-musl": "0.2.0" }, "bin": { "opencode-pty": "bin/opencode-pty.js" } }, "sha512-pV86urAwinpwFXX8AJlOf8S9CVJhGsV+11I/J6TcxMW0c7u6LgeODzdj/BVBC6jUhsG2aKDxg8rACMcDCy3HiA=="],
 
-    "@opencode-ai/pty-darwin-arm64": ["@opencode-ai/pty-darwin-arm64@0.1.13", "", { "os": "darwin", "cpu": "arm64" }, "sha512-fVtQZqVLBuJx/aB+5ojfmQifS1KMc9gxlxpFQ6bxEFU8tn8xHQTiFPaNroZgOtaw7I4ceGyx/eXieK1wp68yAA=="],
+    "@opencode-ai/pty-darwin-arm64": ["@opencode-ai/pty-darwin-arm64@0.2.0", "", { "os": "darwin", "cpu": "arm64" }, "sha512-2y6xrktb2J7rRk+mzAJHA8cCbWhC4Lo2zJ66t9ad59qFhL5nzAPfpEOwnyvvFqhxebHNvL08Mp64M9IHnM0aiA=="],
 
-    "@opencode-ai/pty-darwin-x64": ["@opencode-ai/pty-darwin-x64@0.1.13", "", { "os": "darwin", "cpu": "x64" }, "sha512-b/tAEm0hCMXraPM9cxR8Rg7X1UBZInRTaxWAS4Ht9eH1nWj1rANOLvHWiWX/vVh5TB0Ubg8bWPu4B0nZkEHROQ=="],
+    "@opencode-ai/pty-darwin-x64": ["@opencode-ai/pty-darwin-x64@0.2.0", "", { "os": "darwin", "cpu": "x64" }, "sha512-XVQwK9+KgVGYunCYPCCBf1Or0z6zSkzjgfdJd7dEe/LOFg5vmMkOfSB9dCXnoRCWGviWYk7xd07iFIFOgyj5Ig=="],
 
-    "@opencode-ai/pty-linux-arm64-gnu": ["@opencode-ai/pty-linux-arm64-gnu@0.1.13", "", { "os": "linux", "cpu": "arm64" }, "sha512-I124aSYBBjpGZnYExHfIajkvVK1FiK+//OJBGdqqFp5pas2Oruq4O8tv+pMoxomZIYh2ce/QhOOYLHRwXsthTg=="],
+    "@opencode-ai/pty-linux-arm64-gnu": ["@opencode-ai/pty-linux-arm64-gnu@0.2.0", "", { "os": "linux", "cpu": "arm64" }, "sha512-TPVGCQk5E65IY3ipcpd17rwKehdvXcXEYRhhGzok/6Dske69ei2S+ERz7NXZ8cKFAvbiiT771HHM+XyVYAl+7A=="],
 
-    "@opencode-ai/pty-linux-arm64-musl": ["@opencode-ai/pty-linux-arm64-musl@0.1.13", "", { "os": "linux", "cpu": "arm64" }, "sha512-feWsfKpaDytGJzutoK43GqQwVghG2vHZt6BE/ydPZNuqIrySQ/6JfliUAMwn5BWs/Ky7ouSwKHCyAVeukusSvg=="],
+    "@opencode-ai/pty-linux-arm64-musl": ["@opencode-ai/pty-linux-arm64-musl@0.2.0", "", { "os": "linux", "cpu": "arm64" }, "sha512-iH6/liY7xN1OXVD9eGzdH11BVGvnpPsH5Z1Unz0Pn9EzkPFf28oDNKNyeXV0xIAP53oiYp8gpRq2PADNwbVsTg=="],
 
-    "@opencode-ai/pty-linux-x64-gnu": ["@opencode-ai/pty-linux-x64-gnu@0.1.13", "", { "os": "linux", "cpu": "x64" }, "sha512-jliNgsevGuxfIeX7eyzjHhrJkF8uEUPnDLbF2v16uv69FhEHrraf7jyWkxazMP6rNvn2CGtwMMc4BXPS5pzjhg=="],
+    "@opencode-ai/pty-linux-x64-gnu": ["@opencode-ai/pty-linux-x64-gnu@0.2.0", "", { "os": "linux", "cpu": "x64" }, "sha512-GhdrmbUzxGHRfWvt1qutgVD4HLb7aSBsgWGjFsc6k8HjO5ZbdaC3ScRyd512YAAG5KAROLKZ6+0SEBsm5xFYlA=="],
 
-    "@opencode-ai/pty-linux-x64-musl": ["@opencode-ai/pty-linux-x64-musl@0.1.13", "", { "os": "linux", "cpu": "x64" }, "sha512-rXDpidW66gz2b2M/NbUN8ZKmAxaJcASnuHATeXevlrFdiPUv8uJwvkRd6Pla1fp01Q65MkBmgRa7Q9c+H1PlzA=="],
+    "@opencode-ai/pty-linux-x64-musl": ["@opencode-ai/pty-linux-x64-musl@0.2.0", "", { "os": "linux", "cpu": "x64" }, "sha512-EbHchDsMmL5aOReIoo8NvQkKnyhyKmoL2RleF2JYF76va3FKuksmwsOBgQJh54i+QA4Fd0+9x54Q+2fJOzPiRQ=="],
 
     "@opencode-ai/schema": ["@opencode-ai/schema@0.0.0-beta-18050", "", { "dependencies": { "@standard-schema/spec": "1.1.0", "effect": "4.0.0-rc.111" } }, "sha512-/D6VXaWlytTXR3IOiMLIKuPcfp7FQNUzRPm9z3K7UBFd1Bw4q/WZksaf5RVcBGz+0YRxYMc1V4D7MFlceSgtyg=="],
 
@@ -3548,7 +3549,7 @@
 
     "bun-ffi-structs": ["bun-ffi-structs@0.3.1", "", { "peerDependencies": { "typescript": "^5" } }, "sha512-3gM7PpVWLyrwxWjcilSiGuhWanhZivvo6l0u573NziPH6f/gwk6McbaYgn7oJWov6pKGRTDbrg94W5DcJsKTtQ=="],
 
-    "bun-pty": ["bun-pty@0.4.8", "", {}, "sha512-rO70Mrbr13+jxHHHu2YBkk2pNqrJE5cJn29WE++PUr+GFA0hq/VgtQPZANJ8dJo6d7XImvBk37Innt8GM7O28w=="],
+    "bun-pty": ["bun-pty@0.4.9", "", {}, "sha512-IUF/B3FANo8vIQ775Zt7Er7lphMpYMhLkes45am2WE8FaVI7KRYtj1rQwliZ18b6GpNzBNWcl7sz9QT5wDFBeQ=="],
 
     "bun-types": ["bun-types@1.4.2", "", { "dependencies": { "@types/node": "*" } }, "sha512-bxV1FgK7yBIzjRe5zBozIM4Bem11ZJcCXSrjWRG3YWLt8yFDePu4cLjpebO8OvPeIE9trbyPF4fuj3Cia4Fj3w=="],
 

nix/desktop.nix

@@ -40,6 +40,8 @@ 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
   ];

nix/hashes.json

@@ -1,7 +1,7 @@
 {
   "nodeModules": {
-    "x86_64-linux": "sha256-g3k0cAFGqzmRYlcIkg1NDvlx1WxHYhnYPL0/a8E+qTg=",
-    "aarch64-linux": "sha256-a+3ymqdxOONGe2Tpq4GUccl1b+Dwzxlb9LFXgE1gZ+0=",
-    "aarch64-darwin": "sha256-h8xIzuMmaWfJqjHCO74xUDCWNKQLFrIGoKYZ+2TauYc="
+    "x86_64-linux": "sha256-2RlbJRTEKSliuUbAE2lAktX63JFR/RKAuLkcCou8wb4=",
+    "aarch64-linux": "sha256-P7DAE018lTJNGmttg87U9oaTAuw/wHlnMStdnXYKCr0=",
+    "aarch64-darwin": "sha256-N+NfV1ObOTnW+ez7As+CS+6ci/iRGCQ6cslvyQFCp6E="
   }
 }

package.json

@@ -18,7 +18,8 @@
     "dev:www": "bun run --cwd services/www dev",
     "dev:storybook": "bun --cwd packages/storybook storybook",
     "bench:devex": "bun run --cwd packages/app test:bench:devex",
-    "lint": "oxlint && ast-grep scan -c script/ast-grep/gui-extensions/sgconfig.yml",
+    "lint": "oxlint && ast-grep scan -c script/ast-grep/gui-extensions/sgconfig.yml && bun script/sdk-docs.ts",
+    "lint:changed": "bun script/lint-changed.ts",
     "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",

packages/ai/README.md

@@ -27,6 +27,31 @@ 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:
 
@@ -1223,7 +1248,7 @@ 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, 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, 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.
 
 Each named provider owns its module, endpoint, authentication, and route setup. Providers with the same wire format compose the shared protocol directly:
 

packages/ai/src/cache-policy.ts

@@ -42,6 +42,7 @@ const RESPECTS_INLINE_HINTS = new Set([
   "alibaba-messages",
   "anthropic-messages",
   "anthropic-compatible-messages",
+  "bedrock-mantle-messages",
   "cloudflare-ai-gateway-messages",
   "google-vertex-messages",
   "meta-messages",

packages/ai/src/protocols/alibaba-responses.ts

@@ -1,7 +1,7 @@
 import { Effect, Schema } from "effect"
 import { Protocol } from "../route/protocol.js"
 import { OpenResponses } from "./open-responses.js"
-import { JsonObject, optionalArray, ProviderShared } from "./shared.js"
+import { JsonObject, ProviderShared } from "./shared.js"
 import { OpenResponsesOptions } from "./utils/open-responses-options.js"
 import { ResponsesHostedTools } from "./utils/responses-hosted-tools.js"
 
@@ -25,8 +25,6 @@ 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,
@@ -52,7 +50,7 @@ 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 yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(Body))({
+      return {
         ...body,
         enable_thinking: opts.enableThinking,
         previous_response_id: opts.previousResponseId,
@@ -62,7 +60,7 @@ export const protocol = Protocol.make({
           typeof choice === "object" && choice.type === "function"
             ? { type: "allowed_tools" as const, mode: "required" as const, tools: [choice] }
             : choice,
-      })
+      }
     }),
   },
   stream: {

packages/ai/src/protocols/anthropic-messages.ts

@@ -584,7 +584,7 @@ const serverToolResultType = (name: string): AnthropicServerToolResultType | und
   return undefined
 }
 
-const lowerServerToolResult = Effect.fn("AnthropicMessages.lowerServerToolResult")(function* (
+const lowerServerToolResult = Effect.fnUntraced(function* (
   part: ToolResultPart,
   providerMetadataKey: string,
 ) {
@@ -657,7 +657,7 @@ const citationsFromMetadata = (metadata: MediaPart["metadata"]): AnthropicDocume
 
 const isHttpUrl = (value: string) => /^https?:\/\//i.test(value.trim())
 
-const lowerMedia = Effect.fn("AnthropicMessages.lowerMedia")(function* (
+const lowerMedia = Effect.fnUntraced(function* (
   part: MediaPart,
   breakpoints?: Cache.Breakpoints,
 ) {
@@ -847,7 +847,7 @@ const splitsLocalToolResults = (messages: LLMRequest["messages"], index: number)
   return pending.size > 0
 }
 
-const lowerNativeSystemUpdate = Effect.fn("AnthropicMessages.lowerNativeSystemUpdate")(function* (
+const lowerNativeSystemUpdate = Effect.fnUntraced(function* (
   message: LLMRequest["messages"][number],
   breakpoints: Cache.Breakpoints,
 ) {
@@ -862,7 +862,7 @@ const lowerNativeSystemUpdate = Effect.fn("AnthropicMessages.lowerNativeSystemUp
   }
 })
 
-const lowerMessages = Effect.fn("AnthropicMessages.lowerMessages")(function* (
+const lowerMessages = Effect.fnUntraced(function* (
   request: LLMRequest,
   breakpoints: Cache.Breakpoints,
 ) {
@@ -989,6 +989,9 @@ const lowerMessages = Effect.fn("AnthropicMessages.lowerMessages")(function* (
   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
@@ -1300,7 +1303,7 @@ const onContentBlockStart = (
   return [{ ...state, lifecycle: Lifecycle.stepStart(state.lifecycle, events) }, [...events, result]]
 }
 
-const onContentBlockDelta = Effect.fn("AnthropicMessages.onContentBlockDelta")(function* (
+const onContentBlockDelta = Effect.fnUntraced(function* (
   state: ParserState,
   event: AnthropicEvent & { readonly delta: AnthropicStreamDelta },
 ) {
@@ -1368,7 +1371,7 @@ const onContentBlockDelta = Effect.fn("AnthropicMessages.onContentBlockDelta")(f
   return [state, NO_EVENTS] satisfies StepResult
 })
 
-const onContentBlockStop = Effect.fn("AnthropicMessages.onContentBlockStop")(function* (
+const onContentBlockStop = Effect.fnUntraced(function* (
   state: ParserState,
   event: AnthropicEvent,
 ) {
@@ -1439,7 +1442,7 @@ const onMessageDelta = (
   ]
 }
 
-const onMessageStop = Effect.fn("AnthropicMessages.onMessageStop")(function* (state: ParserState) {
+const onMessageStop = Effect.fnUntraced(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)

packages/ai/src/protocols/bedrock-converse.ts

@@ -285,7 +285,7 @@ const lowerToolCall = (part: ToolCallPart, normalizeID: (id: string) => string):
   },
 })
 
-const lowerToolResultContent = Effect.fn("BedrockConverse.lowerToolResultContent")(function* (
+const lowerToolResultContent = Effect.fnUntraced(function* (
   part: ToolResultPart,
   documentNames: Set<string>,
 ) {
@@ -305,7 +305,7 @@ const lowerToolResultContent = Effect.fn("BedrockConverse.lowerToolResultContent
   return content
 })
 
-const lowerToolResult = Effect.fn("BedrockConverse.lowerToolResult")(function* (
+const lowerToolResult = Effect.fnUntraced(function* (
   part: ToolResultPart,
   documentNames: Set<string>,
   normalizeID: (id: string) => string,
@@ -322,7 +322,7 @@ const lowerToolResult = Effect.fn("BedrockConverse.lowerToolResult")(function* (
 // Keep Claude and Nova tool-result images inline; put other models' images beside the result.
 const keepToolImagesInline = (id: string) => id.includes("anthropic.claude-") || id.includes("amazon.nova-")
 
-const lowerMessages = Effect.fn("BedrockConverse.lowerMessages")(function* (
+const lowerMessages = Effect.fnUntraced(function* (
   request: LLMRequest,
   breakpoints: BedrockCache.Breakpoints,
 ) {

packages/ai/src/protocols/cartesia-speech.ts

@@ -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.fn("CartesiaSpeech.outputFormat")(function* (request: MediaProtocol.Addressed<Request>) {
+const outputFormat = Effect.fnUntraced(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.fn("CartesiaSpeech.onEvent")(function* (state: State, frame: string) {
+const onEvent = Effect.fnUntraced(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.fn("CartesiaSpeech.onEvent")(function* (state: State, fra
   return [state, []] as const
 })
 
-const finish = Effect.fn("CartesiaSpeech.finish")(function* (
+const finish = Effect.fnUntraced(function* (
   state: State,
   context: MediaProtocol.ResponseContext<Request>,
 ) {

packages/ai/src/protocols/cohere-chat.ts

@@ -0,0 +1,334 @@
+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"

packages/ai/src/protocols/elevenlabs-speech.ts

@@ -95,7 +95,7 @@ const OUTPUT_FORMATS: Readonly<Record<string, string>> = {
 }
 
 /** WAV is served only by the non-streaming endpoints. */
-const outputFormat = Effect.fn("ElevenLabsSpeech.outputFormat")(function* (request: MediaProtocol.Addressed<Request>) {
+const outputFormat = Effect.fnUntraced(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.fn("ElevenLabsSpeech.onRecord")(function* (state: State, frame: string) {
+const onRecord = Effect.fnUntraced(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.fn("ElevenLabsSpeech.finish")(function* (
+const finish = Effect.fnUntraced(function* (
   state: State,
   context: MediaProtocol.ResponseContext<Request>,
 ) {

packages/ai/src/protocols/gemini.ts

@@ -283,7 +283,7 @@ const lowerToolConfig = (toolChoice: NonNullable<LLMRequest["toolChoice"]>) =>
     tool: (name) => ({ functionCallingConfig: { mode: "ANY" as const, allowedFunctionNames: [name] } }),
   })
 
-const lowerContentPart = Effect.fn("Gemini.lowerContentPart")(function* (part: TextPart | MediaPart) {
+const lowerContentPart = Effect.fnUntraced(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.fn("Gemini.lowerMessages")(function* (request: LLMRequest) {
+const lowerMessages = Effect.fnUntraced(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: [{ text: ProviderShared.joinText(request.system) }] },
+      request.system.length === 0 ? undefined : { parts: request.system.map((part) => ({ text: part.text })) },
     tools: hasTools
       ? [
           {

packages/ai/src/protocols/google-interactions.ts

@@ -0,0 +1,561 @@
+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"

packages/ai/src/protocols/google-speech.ts

@@ -94,7 +94,7 @@ const fromRequest = Effect.fn("GoogleSpeech.fromRequest")(function* (request: Me
 // 6. Stream parsing
 // ---------------------------------------------------------------------------
 
-const step = Effect.fn("GoogleSpeech.step")(function* (state: State, frame: string) {
+const step = Effect.fnUntraced(function* (state: State, frame: string) {
   const chunk = yield* decodeChunk(frame)
   const blocked = GeminiGenerateContent.blocked(route.name, chunk, frame)
   if (blocked !== undefined) return yield* blocked

packages/ai/src/protocols/google-transcription.ts

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

packages/ai/src/protocols/index.ts

@@ -1,6 +1,8 @@
 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"

packages/ai/src/protocols/meta-responses.ts

@@ -1,6 +1,5 @@
 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"
@@ -44,13 +43,6 @@ 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) })),
 })
@@ -62,12 +54,13 @@ 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)
-  const projected = ProviderShared.flattenToolRequest(
+  return yield* OpenResponses.fromRequestWithAdapter(
     LLMRequest.update(request, {
       messages: request.messages.map((message) =>
         Message.make({
@@ -93,23 +86,8 @@ 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 = {
@@ -117,7 +95,7 @@ const HOSTED_TOOLS = {
   image_generation_call: {
     name: "image_generation",
     input: () => ({}),
-    result: Effect.fn("MetaResponses.imageResult")(function* (raw: ResponsesHostedTools.Item) {
+    result: Effect.fnUntraced(function* (raw: ResponsesHostedTools.Item) {
       const item = yield* Schema.decodeUnknownEffect(ImageItem)(raw).pipe(
         Effect.mapError((cause) =>
           ProviderShared.eventError(
@@ -158,7 +136,7 @@ const HOSTED_TOOLS = {
   },
 } satisfies ResponsesHostedTools.Definitions
 
-const onEvent = Effect.fn("MetaResponses.onEvent")(function* (
+const onEvent = Effect.fnUntraced(function* (
   state: OpenResponses.ParserState,
   input: OpenResponses.Event,
 ) {
@@ -195,7 +173,7 @@ const onEvent = Effect.fn("MetaResponses.onEvent")(function* (
   ] satisfies OpenResponses.StepResult
 })
 
-const step = Effect.fn("MetaResponses.step")(function* (state: ParserState, input: OpenResponses.Event) {
+const step = Effect.fnUntraced(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))
@@ -222,7 +200,7 @@ const step = Effect.fn("MetaResponses.step")(function* (state: ParserState, inpu
 
 export const protocol = Protocol.make({
   id: ADAPTER,
-  body: { schema: Body, from: fromRequest },
+  body: { schema: OpenResponses.OpenResponsesBody, from: fromRequest },
   stream: {
     event: OpenResponses.protocol.stream.event,
     initial: (request): ParserState => ({ ...OpenResponses.initial(request, adapter), completedItems: new Set() }),
@@ -231,6 +209,6 @@ export const protocol = Protocol.make({
   },
 })
 
-export const httpTransport = HttpTransport.sseJson.with<Schema.Schema.Type<typeof Body>>()
+export const httpTransport = OpenResponses.httpTransport
 
 export * as MetaResponses from "./meta-responses.js"

packages/ai/src/protocols/mistral-chat.ts

@@ -68,7 +68,10 @@ const MistralAssistantToolCall = Schema.Struct({
 type MistralAssistantToolCall = Schema.Schema.Type<typeof MistralAssistantToolCall>
 
 const MistralMessage = Schema.Union([
-  Schema.Struct({ role: Schema.Literal("system"), content: Schema.String }),
+  Schema.Struct({
+    role: Schema.Literal("system"),
+    content: Schema.Union([Schema.String, Schema.Array(MistralTextContent)]),
+  }),
   Schema.Struct({
     role: Schema.Literal("user"),
     content: Schema.Union([Schema.String, Schema.Array(MistralUserContent)]),
@@ -223,7 +226,7 @@ const MistralEvent = Schema.StructWithRest(
 type MistralEvent = Schema.Schema.Type<typeof MistralEvent>
 const MistralStreamEvent = Schema.Union([Schema.Literal(DONE), Protocol.jsonEvent(MistralEvent)])
 
-const lowerMedia = Effect.fn("MistralChat.lowerMedia")(function* (part: MediaPart) {
+const lowerMedia = Effect.fnUntraced(function* (part: MediaPart) {
   const mime = part.media.mediaType.toLowerCase()
   const url =
     ProviderShared.mediaUrl(part.media) ??
@@ -233,7 +236,7 @@ const lowerMedia = Effect.fn("MistralChat.lowerMedia")(function* (part: MediaPar
   return yield* ProviderShared.invalidRequest(`Mistral Chat does not support media type ${part.media.mediaType}`)
 })
 
-const lowerUser = Effect.fn("MistralChat.lowerUser")(function* (message: LLMRequest["messages"][number]) {
+const lowerUser = Effect.fnUntraced(function* (message: LLMRequest["messages"][number]) {
   const content: MistralUserContent[] = []
   for (const part of message.content) {
     if (part.type === "text") {
@@ -257,7 +260,7 @@ const lowerToolCall = (part: ToolCallPart, normalizeID: (id: string) => string):
   function: { name: part.name, arguments: ProviderShared.encodeJson(part.input) },
 })
 
-const lowerAssistant = Effect.fn("MistralChat.lowerAssistant")(function* (
+const lowerAssistant = Effect.fnUntraced(function* (
   message: LLMRequest["messages"][number],
   normalizeID: (id: string) => string,
   prefix: boolean,
@@ -295,7 +298,7 @@ const lowerAssistant = Effect.fn("MistralChat.lowerAssistant")(function* (
   }
 })
 
-const lowerToolResults = Effect.fn("MistralChat.lowerToolResults")(function* (
+const lowerToolResults = Effect.fnUntraced(function* (
   message: LLMRequest["messages"][number],
   normalizeID: (id: string) => string,
 ) {
@@ -332,10 +335,20 @@ const lowerToolResults = Effect.fn("MistralChat.lowerToolResults")(function* (
   return output
 })
 
-const lowerMessages = Effect.fn("MistralChat.lowerMessages")(function* (request: LLMRequest) {
+const lowerMessages = Effect.fnUntraced(function* (request: LLMRequest) {
   const normalizeID = MistralToolID.normalizer(request)
   const messages: MistralMessage[] =
-    request.system.length === 0 ? [] : [{ role: "system", content: ProviderShared.joinText(request.system) }]
+    request.system.length === 0
+      ? []
+      : [
+          {
+            role: "system",
+            content:
+              request.system.length === 1
+                ? request.system[0].text
+                : request.system.map((part) => ({ type: "text", text: part.text })),
+          },
+        ]
   for (const message of request.messages) {
     if (message.role === "system") {
       const update = yield* ProviderShared.wrappedSystemUpdate("Mistral Chat", message)
@@ -583,7 +596,7 @@ const toolText = (tool: MistralToolDelta) => {
   return value === null || value === undefined ? "" : ProviderShared.encodeJson(value)
 }
 
-const appendTools = Effect.fn("MistralChat.appendTools")(function* (
+const appendTools = Effect.fnUntraced(function* (
   initial: ParserState,
   events: LLMEvent[],
   deltas: ReadonlyArray<MistralToolDelta>,
@@ -649,7 +662,7 @@ const hasLateContent = (event: MistralEvent) => {
   )
 }
 
-const step = Effect.fn("MistralChat.step")(function* (state: ParserState, event: MistralEvent) {
+const step = Effect.fnUntraced(function* (state: ParserState, event: MistralEvent) {
   if (event.error) {
     const body = ProviderShared.encodeJson(event)
     return yield* new AIError({
@@ -713,7 +726,7 @@ const step = Effect.fn("MistralChat.step")(function* (state: ParserState, event:
   ] as const
 })
 
-const finishEvents = Effect.fn("MistralChat.finishEvents")(function* (state: ParserState) {
+const finishEvents = Effect.fnUntraced(function* (state: ParserState) {
   if (!state.finishReason)
     return yield* new AIError({
       reason: new InvalidProviderOutputError({

packages/ai/src/protocols/open-responses.ts

@@ -168,10 +168,20 @@ export const ConfigurationUpdate = Schema.Struct({
   type: Schema.Literal("configuration_update"),
   reasoning: Schema.Struct({ effort: OpenResponsesOptions.ReasoningEffort }),
 })
-type ConfigurationUpdate = Schema.Schema.Type<typeof ConfigurationUpdate>
+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>
 
 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({
@@ -204,24 +214,9 @@ 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.
@@ -239,6 +234,14 @@ 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 }),
@@ -257,7 +260,7 @@ export const coreFields = {
   model: Schema.String,
   input: Schema.Array(InputItem),
   instructions: Schema.optional(Schema.String),
-  tools: optionalArray(Tool),
+  tools: optionalArray(Schema.Union([Tool, HostedTool])),
   tool_choice: Schema.optional(ToolChoice),
   store: Schema.optional(Schema.Boolean),
   metadata: Schema.optional(Schema.Record(Schema.String, Schema.String)),
@@ -292,7 +295,7 @@ export const coreFields = {
   frequency_penalty: Schema.optional(Schema.Number),
 }
 
-const OpenResponsesBody = Schema.Struct({
+export const OpenResponsesBody = Schema.Struct({
   ...coreFields,
   stream: Schema.Literal(true),
 })
@@ -397,9 +400,7 @@ export const decodeChannelEvent = (frame: string) =>
 export interface ProviderAdapter {
   readonly id: string
   readonly name: string
-  readonly nativeTool?: (
-    native: NonNullable<ToolDefinition["native"]>,
-  ) => Effect.Effect<{ readonly type: string }, AIError>
+  readonly nativeTool?: (native: NonNullable<ToolDefinition["native"]>) => Effect.Effect<HostedTool, AIError>
   readonly lowerMedia?: (input: {
     readonly part: MediaPart
     readonly media: Media.Inline | undefined
@@ -441,7 +442,7 @@ interface ReasoningStreamItem {
 // =============================================================================
 // Request Lowering
 // =============================================================================
-export const lowerTool = Effect.fn("OpenResponses.lowerTool")(function* (protocolName: string, tool: ToolDefinition) {
+export const lowerTool = Effect.fnUntraced(function* (protocolName: string, tool: ToolDefinition) {
   if (tool.native !== undefined)
     return yield* ProviderShared.invalidRequest(`${protocolName} does not support provider-native tool ${tool.name}`)
   return {
@@ -455,8 +456,10 @@ export const lowerTool = Effect.fn("OpenResponses.lowerTool")(function* (protoco
 })
 
 export const lowerTools = (tools: ReadonlyArray<ToolDefinition>, adapter: ProviderAdapter) =>
-  Effect.forEach(tools, (tool) =>
-    tool.native !== undefined && adapter.nativeTool ? adapter.nativeTool(tool.native) : lowerTool(adapter.name, tool),
+  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),
   )
 
 export const lowerToolChoice = (protocolName: string, toolChoice: NonNullable<LLMRequest["toolChoice"]>) =>
@@ -504,7 +507,10 @@ const lowerReasoning = (part: ReasoningPart, providerMetadataKey: string): OpenR
   }
 }
 
-const lowerMedia = Effect.fn("OpenResponses.lowerMedia")(function* (
+const decodeImageDetail = ProviderShared.validateWith(Schema.decodeUnknownEffect(OpenResponsesInputImage.fields.detail))
+const decodeMessageMetadata = ProviderShared.validateWith(Schema.decodeUnknownEffect(MessageMetadata))
+
+const lowerMedia = Effect.fnUntraced(function* (
   part: MediaPart,
   request: LLMRequest,
   adapter: ProviderAdapter,
@@ -513,9 +519,8 @@ const lowerMedia = Effect.fn("OpenResponses.lowerMedia")(function* (
   const media = part.media.inline()
   const providerMedia = adapter.lowerMedia?.({ part, media, request })
   if (providerMedia) return providerMedia
-  const detail = yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(OpenResponsesInputImage.fields.detail))(
-    part.providerMetadata?.[metadataKey(request.model)]?.detail,
-  )
+  const rawDetail = part.providerMetadata?.[metadataKey(request.model)]?.detail
+  const detail = rawDetail === undefined ? undefined : yield* decodeImageDetail(rawDetail)
   const mime = part.media.mediaType.toLowerCase()
   const url = ProviderShared.mediaUrl(part.media)
   const location = url ?? (yield* ProviderShared.requireInlineMedia(adapter.name, part.media)).dataUrl
@@ -588,17 +593,16 @@ const lowerToolResultOutput = Effect.fnUntraced(function* (
 
 const DEFAULT_EFFORT = "medium"
 
-const lowerMessages = Effect.fn("OpenResponses.lowerMessages")(function* (
+const lowerMessages = Effect.fnUntraced(function* (
   request: LLMRequest,
   adapter: ProviderAdapter,
 ) {
-  const input: LoweredInputItem[] = []
+  const input: OpenResponsesInputItem[] = []
   const providerMetadataKey = metadataKey(request.model)
 
   for (const message of request.messages) {
-    const metadata = yield* ProviderShared.validateWith(
-      Schema.decodeUnknownEffect(Schema.UndefinedOr(MessageMetadata)),
-    )(message.providerMetadata?.[providerMetadataKey])
+    const rawMetadata = message.providerMetadata?.[providerMetadataKey]
+    const metadata = rawMetadata === undefined ? undefined : yield* decodeMessageMetadata(rawMetadata)
     if (message.role === "system") {
       const update = effortUpdate(message)
       if (update) {
@@ -752,7 +756,7 @@ const lowerMessages = Effect.fn("OpenResponses.lowerMessages")(function* (
   return input
 })
 
-export const lowerConversation = Effect.fn("OpenResponses.lowerConversation")(function* (
+export const lowerConversation = Effect.fnUntraced(function* (
   request: LLMRequest,
   adapter: ProviderAdapter,
 ) {
@@ -827,11 +831,7 @@ export const fromRequestWithAdapter = Effect.fn("OpenResponses.fromRequestWithAd
   }
 })
 
-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))
-})
+export const fromRequest = (request: LLMRequest) => fromRequestWithAdapter(request, BASE_ADAPTER)
 
 // =============================================================================
 // Stream Parsing
@@ -1143,7 +1143,7 @@ const onReasoningSummaryPartDone = (state: ParserState, event: Event): StepResul
   ]
 }
 
-const onFunctionCallArgumentsDelta = Effect.fn("OpenResponses.onFunctionCallArgumentsDelta")(function* (
+const onFunctionCallArgumentsDelta = Effect.fnUntraced(function* (
   state: ParserState,
   event: Event,
 ) {
@@ -1174,7 +1174,7 @@ const onFunctionCallArgumentsDelta = Effect.fn("OpenResponses.onFunctionCallArgu
   return [{ ...state, lifecycle, tools: result.tools }, events] satisfies StepResult
 })
 
-const onOutputItemDone = Effect.fn("OpenResponses.onOutputItemDone")(function* (
+const onOutputItemDone = Effect.fnUntraced(function* (
   state: ParserState,
   item: NormalizedEvent["item"],
 ) {
@@ -1310,7 +1310,7 @@ const onOutputItemDone = Effect.fn("OpenResponses.onOutputItemDone")(function* (
   return [state, NO_EVENTS] satisfies StepResult
 })
 
-const onResponseFinish = Effect.fn("OpenResponses.onResponseFinish")(function* (state: ParserState, event: Event) {
+const onResponseFinish = Effect.fnUntraced(function* (state: ParserState, event: Event) {
   let current = state
   const events: LLMEvent[] = []
   if (event.type === "response.completed") {

packages/ai/src/protocols/openai-chat.ts

@@ -14,7 +14,6 @@ import {
   ProviderInternalError,
   UnknownProviderError,
   Usage,
-  type FinishReason,
   type FinishReasonDetails,
   type CacheHint,
   type LLMRequest,
@@ -46,12 +45,6 @@ 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({
@@ -367,7 +360,7 @@ const lowerToolCall = (
   extra_content: decodeExtraContent(part.providerMetadata?.[options.providerMetadataKey]?.extraContent),
 })
 
-const lowerMedia = Effect.fn("OpenAIChat.lowerMedia")(function* (part: MediaPart) {
+const lowerMedia = Effect.fnUntraced(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 {
@@ -413,7 +406,7 @@ const lowerReasoningDetail = (detail: ReasoningDetail) => {
 
 const isKimiDetail = (detail: { readonly type: string }) => detail.type === "summary" || detail.type === "encrypted"
 
-const lowerUserMessage = Effect.fn("OpenAIChat.lowerUserMessage")(function* (
+const lowerUserMessage = Effect.fnUntraced(function* (
   message: OpenAIChatRequestMessage,
   options: LoweringOptions,
 ) {
@@ -437,7 +430,7 @@ const lowerUserMessage = Effect.fn("OpenAIChat.lowerUserMessage")(function* (
   return { role: "user" as const, content }
 })
 
-const lowerAssistantMessage = Effect.fn("OpenAIChat.lowerAssistantMessage")(function* (
+const lowerAssistantMessage = Effect.fnUntraced(function* (
   message: OpenAIChatRequestMessage,
   configuredField: string | undefined,
   requireReasoning: boolean,
@@ -502,7 +495,7 @@ const lowerAssistantMessage = Effect.fn("OpenAIChat.lowerAssistantMessage")(func
   return { ...result, [field]: reasoningText }
 })
 
-const lowerToolMessages = Effect.fn("OpenAIChat.lowerToolMessages")(function* (
+const lowerToolMessages = Effect.fnUntraced(function* (
   message: OpenAIChatRequestMessage,
   options: LoweringOptions,
 ) {
@@ -539,7 +532,7 @@ const toolMessage = (toolCallID: string, text: string, cacheControl: OpenAIChatC
   content: cacheControl === undefined ? text : [{ type: "text" as const, text, cache_control: cacheControl }],
 })
 
-const lowerMessage = Effect.fn("OpenAIChat.lowerMessage")(function* (
+const lowerMessage = Effect.fnUntraced(function* (
   message: OpenAIChatRequestMessage,
   reasoningField: string | undefined,
   requireReasoning: boolean,
@@ -551,7 +544,7 @@ const lowerMessage = Effect.fn("OpenAIChat.lowerMessage")(function* (
   return (yield* lowerToolMessages(message, options)).messages
 })
 
-const lowerMessages = Effect.fn("OpenAIChat.lowerMessages")(function* (request: LLMRequest, options: LoweringOptions) {
+const lowerMessages = Effect.fnUntraced(function* (request: LLMRequest, options: LoweringOptions) {
   const system: OpenAIChatMessage[] =
     request.system.length === 0
       ? []
@@ -862,7 +855,7 @@ 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.fn("OpenAIChat.mapFinishReason")(function* (event: OpenAIChatEvent, reason: string) {
+const mapFinishReason = Effect.fnUntraced(function* (event: OpenAIChatEvent, reason: string) {
   switch (reason) {
     case "error":
       return yield* new AIError({
@@ -1221,7 +1214,7 @@ const step = (state: ParserState, event: OpenAIChatEvent) =>
     ] as const
   })
 
-const finishEvents = Effect.fn("OpenAIChat.finishEvents")(function* (state: ParserState) {
+const finishEvents = Effect.fnUntraced(function* (state: ParserState) {
   if (state.finishReason === undefined && state.requireFinishReason)
     return yield* new AIError({
       reason: new InvalidProviderOutputError({

packages/ai/src/protocols/openai-images.ts

@@ -208,7 +208,7 @@ const eventImage = (frame: string, label: string, data: string, format: string,
     info: info(format, size),
   })
 
-const onEvent = Effect.fn("OpenAIImages.onEvent")(function* (state: State, frame: string) {
+const onEvent = Effect.fnUntraced(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.fn("OpenAIImages.onEvent")(function* (state: State, frame
   ] as const
 })
 
-const onDocument = Effect.fn("OpenAIImages.onDocument")(function* (frame: Exclude<Frame, string>) {
+const onDocument = Effect.fnUntraced(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)),

packages/ai/src/protocols/openai-responses.ts

@@ -103,15 +103,8 @@ 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(
@@ -134,7 +127,7 @@ 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([OpenAIResponsesInputItem, CompactionTrigger])),
+  input: Schema.Array(Schema.Union([OpenResponses.InputItem, CompactionTrigger])),
 })
 
 const adapter = {
@@ -164,7 +157,7 @@ const nativeImageTool = (tool: ToolDefinition) => {
   return Schema.is(OpenAIResponsesImageGenerationTool)(native) ? native : undefined
 }
 
-const lowerTool = Effect.fn("OpenAIResponses.lowerTool")(function* (tool: ToolDefinition) {
+const lowerTool = Effect.fnUntraced(function* (tool: ToolDefinition) {
   const native = nativeImageToolInput(tool)
   if (native !== undefined) {
     if (Schema.is(OpenAIResponsesImageGenerationTool)(native)) return native
@@ -175,7 +168,7 @@ const lowerTool = Effect.fn("OpenAIResponses.lowerTool")(function* (tool: ToolDe
 
 // 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.fn("OpenAIResponses.lowerToolEntry")(function* (tool: ToolEntry) {
+const lowerToolEntry = Effect.fnUntraced(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.
@@ -202,15 +195,13 @@ 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 yield* decodeBody({
+  return {
     ...(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 })),
@@ -220,7 +211,7 @@ const fromRequest = Effect.fn("OpenAIResponses.fromRequest")(function* (request:
         ? undefined
         : (OpenResponses.allowedToolChoice(request) ??
           (request.toolChoice ? yield* lowerToolChoice(request.toolChoice, request.tools) : undefined)),
-  })
+  }
 })
 
 const checkpointBody = {
@@ -246,7 +237,7 @@ const checkpointBody = {
   }),
 }
 
-const hostedToolResult = Effect.fn("OpenAIResponses.hostedToolResult")(function* (item: ResponsesHostedTools.Item) {
+const hostedToolResult = Effect.fnUntraced(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(

packages/ai/src/protocols/openai-speech.ts

@@ -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.fn("OpenAISpeech.onEvent")(function* (state: State, frame: string) {
+const onEvent = Effect.fnUntraced(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

packages/ai/src/protocols/openai-transcription.ts

@@ -210,7 +210,7 @@ const segment = (value: Schema.Schema.Type<typeof Segment>): TranscriptionSegmen
   speaker: value.speaker,
 })
 
-const onEvent = Effect.fn("OpenAITranscription.onEvent")(function* (state: State, frame: string) {
+const onEvent = Effect.fnUntraced(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")

packages/ai/src/protocols/shared.ts

@@ -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.fn("ProviderShared.systemUpdateText")(function* (
+export const systemUpdateText = Effect.fnUntraced(function* (
   route: string,
   message: LLMRequest["messages"][number],
 ) {
@@ -167,7 +167,7 @@ export const systemUpdateText = Effect.fn("ProviderShared.systemUpdateText")(fun
 })
 
 /** Lower an unsupported privileged update into visible, in-order user text. */
-export const wrappedSystemUpdate = Effect.fn("ProviderShared.wrappedSystemUpdate")(function* (
+export const wrappedSystemUpdate = Effect.fnUntraced(function* (
   route: string,
   message: LLMRequest["messages"][number],
 ) {

packages/ai/src/protocols/stability-images.ts

@@ -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.fn("StabilityImages.form")(function* (
+const form = Effect.fnUntraced(function* (
   identity: MediaProtocol.Identity,
   fields: Record<string, unknown>,
   native: Record<string, unknown> | undefined,

packages/ai/src/protocols/utils/bedrock-media.ts

@@ -76,7 +76,7 @@ function documentName(filename: string | undefined, names: Set<string>) {
   return name
 }
 
-const mediaBase64 = Effect.fn("BedrockMedia.mediaBase64")(function* (part: MediaPart) {
+const mediaBase64 = Effect.fnUntraced(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.fn("BedrockMedia.mediaBase64")(function* (part: Media
 // 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.fn("BedrockMedia.lower")(function* (part: MediaPart, documentNames: Set<string>) {
+export const lower = Effect.fnUntraced(function* (part: MediaPart, documentNames: Set<string>) {
   const mime = part.media.mediaType.toLowerCase()
   const imageFormat = IMAGE_FORMATS[mime as keyof typeof IMAGE_FORMATS]
   if (imageFormat) {

packages/ai/src/protocols/utils/responses-checkpoint.ts

@@ -11,7 +11,7 @@ interface State {
   readonly responseID?: string
 }
 
-const onOutputItem = Effect.fn("ResponsesCheckpoint.onOutputItem")(function* (
+const onOutputItem = Effect.fnUntraced(function* (
   state: State,
   input: OpenResponses.Event,
 ) {
@@ -63,7 +63,7 @@ export const make = <Body>(body: RouteBody<Body>): TriggerCompactOperation =>
           checkpoints: {},
         }),
         terminal: OpenResponses.terminal,
-        step: Effect.fn("ResponsesCheckpoint.step")(function* (state: State, event: OpenResponses.Event) {
+        step: Effect.fnUntraced(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

packages/ai/src/protocols/utils/responses-hosted-tools.ts

@@ -33,7 +33,7 @@ export const onDone: (
   state: OpenResponses.ParserState,
   item: Item,
   tools: Definitions,
-) => Effect.Effect<OpenResponses.StepResult, AIError> = Effect.fn("ResponsesHostedTools.onDone")(
+) => Effect.Effect<OpenResponses.StepResult, AIError> = Effect.fnUntraced(
   function* (state, item, tools) {
     const tool = tools[item.type]
     if (!tool) return [state, []] satisfies OpenResponses.StepResult

packages/ai/src/protocols/utils/tool-stream.ts

@@ -60,14 +60,21 @@ const inputStart = (tool: PendingTool) =>
     providerMetadata: tool.providerMetadata,
   })
 
-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 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 toolCall = (route: string, tool: PendingTool, inputOverride?: string) => {
   const raw = inputOverride ?? tool.input

packages/ai/src/protocols/xai-responses.ts

@@ -31,19 +31,12 @@ 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({
@@ -53,7 +46,7 @@ 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* decodeBody(yield* OpenResponses.fromRequestWithAdapter(request, adapter))
+  return yield* OpenResponses.fromRequestWithAdapter(request, adapter)
 })
 
 const HOSTED_TOOLS = {
@@ -83,7 +76,7 @@ const step = (state: OpenResponses.ParserState, input: OpenResponses.Event) => {
 export const protocol = Protocol.make({
   id: ADAPTER,
   body: {
-    schema: XAIResponsesBody,
+    schema: OpenResponses.OpenResponsesBody,
     from: fromRequest,
   },
   stream: {

packages/ai/src/provider-error.ts

@@ -55,7 +55,13 @@ 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]
+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,
+]
 
 export const isContextOverflow = (message: string) =>
   !exclusions.some((pattern) => pattern.test(message)) &&

packages/ai/src/providers/amazon-bedrock-mantle.ts

@@ -1,15 +1,20 @@
 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 Config = RouteDefaultsInput & {
+export type OpenAIOptionsInput = OpenAIProviderOptionsInput
+export type MessagesOptionsInput = AnthropicMessages.ProviderOptionsInput
+
+export type Config = Omit<RouteDefaultsInput, "providerOptions"> & {
   /** 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. */
@@ -20,11 +25,11 @@ export type Config = RouteDefaultsInput & {
   /** Shared config profile for the default credential chain. */
   readonly profile?: string
   readonly region?: string
-  readonly providerOptions?: OpenAIProviderOptionsInput
+  readonly providerOptions?: OpenAIProviderOptionsInput | AnthropicMessages.ProviderOptionsInput
 }
 
-export type Settings = ProviderPackage.Settings &
-  OpenAIProviderOptionsInput & {
+export type Settings<Options = OpenAIProviderOptionsInput> = ProviderPackage.Settings &
+  Options & {
     readonly apiKey?: string
     readonly auth?: "bearer" | "sigv4"
     readonly baseURL?: string
@@ -34,6 +39,8 @@ export type Settings = ProviderPackage.Settings &
     readonly topP?: number
   }
 
+export type MessagesSettings = Settings<AnthropicMessages.ProviderOptionsInput>
+
 const responsesRoute = Route.make({
   id: "bedrock-mantle-responses",
   provider: id,
@@ -50,12 +57,35 @@ const chatRoute = OpenAIChat.route.with({
   providerMetadataKey: "mantle",
 })
 
-export const routes = [responsesRoute, chatRoute]
+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" }),
+})
 
-const configuredRoute = <Body, Prepared>(route: Route<Body, Prepared>, input: Config) => {
+export const routes = [responsesRoute, chatRoute, messagesRoute]
+
+const configuredRoute = <Body, Prepared>(
+  route: Route<Body, Prepared>,
+  input: Config,
+  defaultBaseURL = (region: string) => `https://bedrock-mantle.${region}.api.aws/v1`,
+) => {
   const region = BedrockAuth.resolveRegion(input)
   return route.with({
-    endpoint: { baseURL: input.baseURL ?? `https://bedrock-mantle.${region}.api.aws/v1` },
+    endpoint: { baseURL: input.baseURL ?? defaultBaseURL(region) },
     auth: BedrockAuth.resolveAuth(input, region, {
       service: "bedrock-mantle",
       name: "Bedrock Mantle",
@@ -87,6 +117,11 @@ 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
@@ -96,11 +131,14 @@ 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,
   }
@@ -119,7 +157,7 @@ const fromSettings = ({
   region,
   topP,
   ...providerOptions
-}: Settings) =>
+}: Settings<Config["providerOptions"]>) =>
   configure({
     apiKey,
     auth,
@@ -137,6 +175,10 @@ 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,

packages/ai/src/providers/amazon-bedrock/mantle/messages.ts

@@ -0,0 +1,2 @@
+export { messagesModel as model } from "../../amazon-bedrock-mantle.js"
+export type { MessagesSettings as Settings } from "../../amazon-bedrock-mantle.js"

packages/ai/src/providers/cohere.ts

@@ -0,0 +1,66 @@
+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"

packages/ai/src/providers/cohere/chat.ts

@@ -0,0 +1,16 @@
+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)

packages/ai/src/providers/google.ts

@@ -5,6 +5,7 @@ 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"
@@ -16,15 +17,16 @@ 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]
+export const routes = [Gemini.route, GoogleInteractions.route]
 
 export type Config = RouteDefaultsInput &
   ProviderAuthOption<"optional"> & {
     readonly baseURL?: string
-    readonly providerOptions?: Gemini.ProviderOptionsInput
+    readonly providerOptions?: Gemini.ProviderOptionsInput & GoogleInteractions.ProviderOptionsInput
   }
 
 export type Settings = ProviderPackage.Settings &
@@ -45,12 +47,19 @@ 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 }),
@@ -73,6 +82,7 @@ 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

packages/ai/src/providers/google/interactions.ts

@@ -0,0 +1,21 @@
+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)

packages/ai/src/providers/index.ts

@@ -9,6 +9,7 @@ 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"

packages/ai/src/providers/openai-options.ts

@@ -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?: OpenAIProviderOptionsInput }>(
+export const withOpenAIOptions = <Options extends { readonly providerOptions?: ProviderOptions }>(
   modelID: string,
   options: Options,
 ): Omit<Options, "providerOptions"> & { readonly providerOptions?: ProviderOptions } => {

packages/ai/src/route/client.ts

@@ -358,7 +358,6 @@ 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(
@@ -417,7 +416,7 @@ function makeFromTransport<Body, Prepared, Frame, Event, State>(
           request,
           endpoint: routeInput.endpoint,
           auth: routeInput.auth ?? Auth.none,
-          encodeBody,
+          encodeBody: ProviderShared.encodeJson,
           middleware: options?.http,
           webSocket: options?.webSocket,
         }),
@@ -576,9 +575,7 @@ 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)
-    .pipe(Effect.flatMap(ProviderShared.validateWith(Schema.decodeUnknownEffect(route.body.schema))))
+  const body = yield* route.body.from(resolved)
   const prepared = yield* route.prepareTransport(body, resolved, options)
 
   return {

packages/ai/src/route/framing.ts

@@ -1,5 +1,5 @@
 import { Effect, Stream } from "effect"
-import { makeParser, type Event } from "effect/unstable/encoding/Sse"
+import { makeParser } from "effect/unstable/encoding/Sse"
 import { AIError, InvalidProviderOutputError } from "../schema/index.js"
 
 /**
@@ -42,43 +42,39 @@ export const sseFraming = (
     Stream.decodeText(),
     Stream.mapAccumEffect(
       () => {
-        const output: Event[] = []
+        const output: string[] = []
         return {
           output,
           parser: makeParser((event) => {
-            if (event._tag === "Event") output.push(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)
           }),
         }
       },
-      (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
-        }),
+      (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 }))
+      },
     ),
-    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. */

packages/ai/test/auth-options.types.ts

@@ -14,7 +14,6 @@ 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"
 

packages/ai/test/effort-updates.test.ts

@@ -1,13 +1,12 @@
 import { describe, expect, test } from "bun:test"
 import { Effect } from "effect"
-import { LLM, LLMRequest, Message, ToolCallPart } from "../src/index.js"
+import { LLM, 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 { GoogleVertexMessages, OpenAI } from "../src/providers.js"
-import { applyCachePolicy } from "../src/cache-policy.js"
+import { AmazonBedrockMantle, GoogleVertexMessages, OpenAI } from "../src/providers.js"
 import { applyEffortUpdates } from "../src/effort-updates.js"
 import { it, testEffect } from "./lib/effect.js"
 import { dynamicResponse } from "./lib/http.js"
@@ -242,6 +241,31 @@ describe("Anthropic Messages effort updates", () => {
     }),
   )
 
+  it.effect("strips markers for Opus 5.0 on Bedrock Mantle Messages while lowering Opus 5.5", () =>
+    Effect.gen(function* () {
+      const mantle = AmazonBedrockMantle.configure({ apiKey: "test", region: "us-east-1" })
+      const opus50 = 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"),
+          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("strips markers on the Vertex Anthropic route, whose protocol wrapper does not forward support", () =>
     Effect.gen(function* () {
       const prepared = yield* compileRequest(

packages/ai/test/fixtures/recordings/anthropic-messages/accepts-malformed-assistant-tool-order-with-default-patch.json

@@ -1,29 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "name": "anthropic-messages/accepts-malformed-assistant-tool-order-with-default-patch",
-    "recordedAt": "2026-05-05T20:09:16.245Z",
-    "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\",\"messages\":[{\"role\":\"assistant\",\"content\":[{\"type\":\"text\",\"text\":\"I will check the weather.\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"tool_use\",\"id\":\"call_1\",\"name\":\"get_weather\",\"input\":{\"city\":\"Paris\"}}]},{\"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.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get weather\",\"input_schema\":{\"type\":\"object\",\"properties\":{}}}],\"stream\":true,\"max_tokens\":4096}"
-      },
-      "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_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"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/anthropic-messages/claude-opus-4-7-drives-a-tool-loop.json

@@ -1,56 +0,0 @@
-{
-  "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"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/anthropic-messages/rejects-malformed-assistant-tool-order-without-patch.json

@@ -1,29 +0,0 @@
-{
-  "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\"}"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/anthropic-messages/streams-text.json

@@ -1,29 +0,0 @@
-{
-  "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"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/anthropic-messages/streams-tool-call.json

@@ -1,29 +0,0 @@
-{
-  "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"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/bedrock-mantle-messages/applies-mid-conversation-effort-updates-and-thinking-block-binding-on-opus-5-5.json

@@ -0,0 +1,57 @@
+{
+  "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",
+          "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.\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"They want only the final integer, so I just need to compute 37×43 using the difference of squares: 40²−3² = 1600−9 = 1591.\\n\\n\",\"signature\":\"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\"},{\"type\":\"text\",\"text\":\"1591\"}]},{\"role\":\"system\",\"content\":[],\"output_config\":{\"effort\":\"low\"}},{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Add 9 to that result. 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_yzpmbqh3aag3i7kymdm7ctqputcpeuln3cy44msgbdnctkcweena\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"container\":null,\"stop_reason\":null,\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":139,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"output_tokens\":4,\"service_tier\":\"standard\"},\"input_transformations\":[]}}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"1600\"}}\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,\"container\":null},\"usage\":{\"input_tokens\":139,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"output_tokens\":4,\"output_tokens_details\":{\"thinking_tokens\":0}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
+      }
+    }
+  ]
+}

packages/ai/test/fixtures/recordings/bedrock-mantle-messages/lowers-system-updates-to-wrapped-user-text-on-haiku-4-5-with-budget-thinking.json

@@ -0,0 +1,37 @@
+{
+  "version": 1,
+  "metadata": {
+    "model": "anthropic.claude-haiku-4-5",
+    "tags": [
+      "prefix:bedrock-mantle-messages",
+      "provider:amazon-bedrock",
+      "protocol:anthropic-messages",
+      "reasoning",
+      "system-update"
+    ],
+    "name": "bedrock-mantle-messages/lowers-system-updates-to-wrapped-user-text-on-haiku-4-5-with-budget-thinking",
+    "recordedAt": "2026-10-04T03:56:18.874Z"
+  },
+  "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",
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"anthropic.claude-haiku-4-5\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 19 multiplied by 23?\"},{\"type\":\"text\",\"text\":\"<system-update>\\nReply with only the integer.\\n</system-update>\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"max_tokens\":2048,\"thinking\":{\"type\":\"enabled\",\"budget_tokens\":1024}}"
+      },
+      "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_bdrk_prlwlyj7mdyfbm6ejq74ibwylnwd6deibs6j5xjq6lsc4dzuyzqa\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"container\":null,\"stop_reason\":null,\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":65,\"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\"}}}\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\":\"19\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" × 23 = ?\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"\\n\\nLet me calculate\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" this:\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"\\n19 × 23 =\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" 19 × (20 +\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" 3)\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"\\n= 19 × 20\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" + 19 × 3\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"\\n= 380 + 57\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"\\n= 437\\n\\nOr\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" alternatively\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\":\\n19 × 23 \"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"= (\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"20 - 1) × \"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"23\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"\\n= 20 × 23 \"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"- 23\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"\\n= 460 - 23\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"\\n= 437\\n\\nSo\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" the\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" answer is 437.\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"signature_delta\",\"signature\":\"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\"}}\n\nevent: content_block_stop\ndata: {Line truncated
+      }
+    }
+  ]
+}

packages/ai/test/fixtures/recordings/bedrock-mantle-messages/replays-signed-thinking-through-a-tool-loop-and-native-system-update.json

@@ -0,0 +1,59 @@
+{
+  "version": 1,
+  "metadata": {
+    "model": "anthropic.claude-opus-4-8",
+    "tags": [
+      "prefix:bedrock-mantle-messages",
+      "provider:amazon-bedrock",
+      "protocol:anthropic-messages",
+      "tool",
+      "tool-loop",
+      "reasoning",
+      "system-update"
+    ],
+    "name": "bedrock-mantle-messages/replays-signed-thinking-through-a-tool-loop-and-native-system-update",
+    "recordedAt": "2026-10-04T04:05:26.433Z"
+  },
+  "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",
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"anthropic.claude-opus-4-8\",\"system\":[{\"type\":\"text\",\"text\":\"You are a concise assistant.\",\"cache_control\":{\"type\":\"ephemeral\"}}],\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"First calculate 37 * 43. Then call get_weather for Paris. After receiving the tool result, state both the product and the weather.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false},\"cache_control\":{\"type\":\"ephemeral\"}}],\"stream\":true,\"max_tokens\":2048,\"thinking\":{\"type\":\"adaptive\",\"display\":\"summarized\"},\"output_config\":{\"effort\":\"medium\"}}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream; charset=utf-8"
+        },
+        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"model\":\"claude-opus-4-8\",\"id\":\"msg_bdrk_fycfxoffsnlt6mj5wu2urbd2psp276vwn4pddgbaazfim6fxcvhq\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"container\":null,\"stop_reason\":null,\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":439,\"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\"}}}\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\":\"37\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" times\"}}\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\":\" is 1591\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\", that\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" one\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"'s\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" quick to do\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" my\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"self. Now I'll go\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" ahead and call get\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"_weather.\\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\":\"37 × 43 \"}}\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: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":2,\"content_block\":{\"type\":\"tool_use\",\"id\":\"toolu_bdrk_011We3Z1qCBXge7JLoyNwDat\",\"name\":\"get_weather\",\"input\":{}}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":2,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":2,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"{\\\"city\\\": \\\"Pa\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":2,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"ris\\\"}\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":2}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"tool_use\",\"stop_sequence\":null,\"stop_details\":null,\"container\":null},\"usage\":{\"input_tokens\":439,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"output_tokens\":135,\"output_tokens_details\":{\"thinking_tokens\":73}}}\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",
+          "anthropic-version": "2023-06-01",
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"anthropic.claude-opus-4-8\",\"system\":[{\"type\":\"text\",\"text\":\"You are a concise assistant.\",\"cache_control\":{\"type\":\"ephemeral\"}}],\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"First calculate 37 * 43. Then call get_weather for Paris. After receiving the tool result, state both the product and the weather.\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"37 times 43 is 1591, that one's quick to do myself. Now I'll go ahead and call get_weather.\\n\\n\",\"signature\":\"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\"},{\"type\":\"text\",\"text\":\"37 × 43 = 1591.\"},{\"type\":\"tool_use\",\"id\":\"toolu_bdrk_011We3Z1qCBXge7JLoyNwDat\",\"name\":\"get_weather\",\"input\":{\"city\":\"Paris\"}}]},{\"role\":\"user\",\"content\":[{\"type\":\"tool_result\",\"tool_use_id\":\"toolu_bdrk_011We3Z1qCBXge7JLoyNwDat\",\"content\":\"{\\\"condition\\\":\\\"sunny\\\",\\\"temperatureC\\\":18}\"}]},{\"role\":\"system\",\"content\":[{\"type\":\"text\",\"text\":\"Reply in French in one short sentence.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false},\"cache_control\":{\"type\":\"ephemeral\"}}],\"stream\":true,\"max_tokens\":2048,\"thinking\":{\"type\":\"adaptive\",\"display\":\"summarized\"},\"output_config\":{\"effort\":\"medium\"}}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream; charset=utf-8"
+        },
+        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"model\":\"claude-opus-4-8\",\"id\":\"msg_bdrk_uak5dibczxblk4xunblaiowmid7zhky7ozwinjhpjtcbtgzvuwyq\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"container\":null,\"stop_reason\":null,\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":611,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"output_tokens\":3,\"service_tier\":\"standard\"}}}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"Le produ\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"it est \"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"1591 \"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"et il\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" f\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"ait beau à Paris av\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"ec 18°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,\"container\":null},\"usage\":{\"input_tokens\":611,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"output_tokens\":28,\"output_tokens_details\":{\"thinking_tokens\":0}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
+      }
+    }
+  ]
+}

packages/ai/test/fixtures/recordings/bedrock-mantle-messages/strips-unsupported-mid-conversation-effort-updates-on-opus-5-0.json

@@ -0,0 +1,37 @@
+{
+  "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",
+          "content-type": "application/json"
+        },
+        "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\"}}"
+      },
+      "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\",\"id\":\"msg_bdrk_5mwa5agz3cvj44w72lno46ljoylvzjhipc4jmraridpzxktjquha\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"container\":null,\"stop_reason\":null,\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":38,\"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\"}}}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"50\"}}\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,\"container\":null},\"usage\":{\"input_tokens\":38,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"output_tokens\":3,\"output_tokens_details\":{\"thinking_tokens\":0}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
+      }
+    }
+  ]
+}

packages/ai/test/fixtures/recordings/cohere/continues-a-native-tool-call.json

@@ -0,0 +1,49 @@
+{
+  "version": 1,
+  "metadata": {
+    "tags": [
+      "prefix:cohere",
+      "provider:cohere"
+    ],
+    "name": "cohere/continues-a-native-tool-call",
+    "recordedAt": "2026-10-03T04:09:51.600Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://api.cohere.com/v2/chat",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "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?\"}]}],\"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": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "event: message-start\ndata: {\"id\":\"d6c0d412-926c-42ed-b152-043404f8c33c\",\"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\":\" user\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" is\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\" asking\"}}}}\n\nevent: content-delta\ndata: 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+      }
+    },
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://api.cohere.com/v2/chat",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "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": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "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: 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+      }
+    }
+  ]
+}

packages/ai/test/fixtures/recordings/cohere/streams-compatible-chat-reasoning.json

@@ -0,0 +1,31 @@
+{
+  "version": 1,
+  "metadata": {
+    "tags": [
+      "prefix:cohere",
+      "provider:cohere"
+    ],
+    "name": "cohere/streams-compatible-chat-reasoning",
+    "recordedAt": "2026-10-02T02:39:47.406Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://api.cohere.ai/compatibility/v1/chat/completions",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"command-a-reasoning-08-2025\",\"messages\":[{\"role\":\"user\",\"content\":\"What is 17 times 23? Answer briefly.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"reasoning_effort\":\"high\",\"max_tokens\":2048}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "data: {\"id\":\"52b1dec0-5396-46a4-9897-9e0adf56038b\",\"choices\":[{\"index\":0,\"finish_reason\":null,\"delta\":{\"reasoning_content\":\"\",\"role\":\"assistant\"},\"logprobs\":null}],\"created\":1790908779,\"model\":\"command-a-reasoning-08-2025\",\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"id\":\"52b1dec0-5396-46a4-9897-9e0adf56038b\",\"choices\":[{\"index\":0,\"finish_reason\":null,\"delta\":{\"reasoning_content\":\"Okay\"},\"logprobs\":null}],\"created\":1790908779,\"model\":\"command-a-reasoning-08-2025\",\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: {\"id\":\"52b1dec0-5396-46a4-9897-9e0adf56038b\",\"choices\":[{\"index\":0,\"finish_reason\":null,\"delta\":{\"reasoning_content\":\",\"},\"logprobs\":null}],\"created\":1790908779,\"model\":\"command-a-reasoning-08-2025\",\"object\":\"chat.completion.chunk\",\"usage\":null}\n\ndata: 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+      }
+    }
+  ]
+}

packages/ai/test/fixtures/recordings/cohere/streams-native-text-and-usage.json

@@ -0,0 +1,31 @@
+{
+  "version": 1,
+  "metadata": {
+    "tags": [
+      "prefix:cohere",
+      "provider:cohere"
+    ],
+    "name": "cohere/streams-native-text-and-usage",
+    "recordedAt": "2026-10-02T02:36:12.967Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://api.cohere.com/v2/chat",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"command-a-03-2025\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Reply exactly: OK\"}]}],\"stream\":true,\"max_tokens\":64}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "event: message-start\ndata: {\"id\":\"a171b3a5-db11-4445-a645-5221fb466ab8\",\"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\":\"text\",\"text\":\"\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"text\":\"OK\"}}}}\n\nevent: content-end\ndata: {\"type\":\"content-end\",\"index\":0}\n\nevent: message-end\ndata: {\"type\":\"message-end\",\"delta\":{\"finish_reason\":\"COMPLETE\",\"usage\":{\"billed_units\":{\"input_tokens\":4,\"output_tokens\":1},\"tokens\":{\"input_tokens\":499,\"output_tokens\":4},\"cached_tokens\":464}}}\n\ndata: [DONE]\n\n"
+      }
+    }
+  ]
+}

packages/ai/test/fixtures/recordings/cohere/streams-native-thinking-with-a-budget.json

@@ -0,0 +1,31 @@
+{
+  "version": 1,
+  "metadata": {
+    "tags": [
+      "prefix:cohere",
+      "provider:cohere"
+    ],
+    "name": "cohere/streams-native-thinking-with-a-budget",
+    "recordedAt": "2026-10-02T02:36:14.669Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://api.cohere.com/v2/chat",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"command-a-reasoning-08-2025\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 17 times 23? Answer briefly.\"}]}],\"stream\":true,\"thinking\":{\"type\":\"enabled\",\"token_budget\":128},\"max_tokens\":2048}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "event: message-start\ndata: {\"id\":\"305edbbe-9f86-4bc0-9490-7766b168a453\",\"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\":\"Okay\"}}}}\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\":\" let\"}}}}\n\nevent: content-delta\ndata: {\"type\":\"content-delta\",\"index\":0,\"delta\":{\"message\":{\"content\":{\"thinking\":\"'s\"}}}}\n\nevent: content-delta\ndata: 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+      }
+    }
+  ]
+}

packages/ai/test/fixtures/recordings/google-interactions/continues-tool-results-with-previous-interaction-id.json

@@ -0,0 +1,66 @@
+{
+  "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"
+        },
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+      }
+    },
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://generativelanguage.googleapis.com/v1beta/interactions",
+        "headers": {
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+      },
+      "response": {
+        "status": 200,
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+      }
+    },
+    {
+      "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": "{}"
+      }
+    }
+  ]
+}

packages/ai/test/fixtures/recordings/google-interactions/replays-native-tool-results-and-signatures-statelessly.json

@@ -0,0 +1,50 @@
+{
+  "version": 1,
+  "metadata": {
+    "tags": [
+      "prefix:google-interactions",
+      "provider:google",
+      "protocol:google-interactions"
+    ],
+    "name": "google-interactions/replays-native-tool-results-and-signatures-statelessly",
+    "recordedAt": "2026-10-03T18:10:15.040Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://generativelanguage.googleapis.com/v1beta/interactions",
+        "headers": {
+          "content-type": "application/json"
+        },
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+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
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+      }
+    },
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://generativelanguage.googleapis.com/v1beta/interactions",
+        "headers": {
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+        },
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+      },
+      "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\":\"EmkKZwFpFH0TRPN/gVeX86bn3+mP2Y1jv3jX464uSnSB+RuBqyig1Xfg52RBzk5GzUt98niutpbttYfMLkXURehjrP1AJUJzQbGLMqmqKD5iEp3bgLq46B3Ov+RcO539Fcz6+qCpPx+VaMQ=\",\"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\":108,\"total_input_tokens\":92,\"input_tokens_by_modality\":[{\"modality\":\"text\",\"tokens\":92}],\"total_cached_tokens\":0,\"total_output_tokens\":16,\"total_tool_use_tokens\":0,\"total_thought_tokens\":0,\"raw_prompt_token\":104,\"model_invocation_token_counts\":[{\"prompt_tokens_details\":[{\"modality\":\"text\",\"tokens\":104}],\"candidates_tokens_details\":[{\"modality\":\"text\",\"tokens\":20}]}],\"non_grounding_model_invocation_token_counts\":[{\"prompt_tokens_details\":[{\"modality\":\"text\",\"tokens\":104}],\"candidates_tokens_details\":[{\"modality\":\"text\",\"tokens\":20}]}]},\"created\":\"2026-10-03T18:10:15Z\",\"updated\":\"2026-10-03T18:10:15Z\",\"service_tier\":\"standard\",\"object\":\"interaction\",\"model\":\"gemini-3.8-flash\"},\"event_type\":\"interaction.completed\"}\n\nevent: done\ndata: [DONE]\n\n"
+      }
+    }
+  ]
+}

packages/ai/test/fixtures/recordings/google-interactions/streams-reasoning-and-retains-thought-signatures.json

@@ -0,0 +1,32 @@
+{
+  "version": 1,
+  "metadata": {
+    "tags": [
+      "prefix:google-interactions",
+      "provider:google",
+      "protocol:google-interactions"
+    ],
+    "name": "google-interactions/streams-reasoning-and-retains-thought-signatures",
+    "recordedAt": "2026-10-03T18:08:37.674Z"
+  },
+  "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\":\"Find the smallest positive integer that leaves remainder 1 modulo 7, 2 modulo 9, and 3 modulo 11. Explain briefly.\"}]}],\"stream\":true,\"store\":false,\"generation_config\":{\"max_output_tokens\":4096,\"thinking_level\":\"high\",\"thinking_summaries\":\"auto\"}}"
+      },
+      "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\":{\"content\":{\"text\":\"**Analyzing Congruences**\\n\\nI'm tackling a system of congruences to find the smallest positive integer x. Currently, I'm reviewing the Chinese Remainder Theorem as a potential solution, or considering a direct congruence-based approach. The congruences are as follows: $x \\\\equiv 1 \\\\pmod{7}$, $x \\\\equiv 2 \\\\pmod{9}$, $x \\\\equiv 3 \\\\pmod{11}$. I will use these congruences to find a solution.\\n\\n\\n\",\"type\":\"text\"},\"type\":\"thought_summary\"},\"event_type\":\"step.delta\"}\n\nevent: step.delta\ndata: {\"index\":0,\"delta\":{\"content\":{\"text\":\"**Combining Congruences**\\n\\nI've made progress by combining the first two congruences. I determined that x is congruent to 29 modulo 63. Now, I am focused on the remaining congruence, attempting to solve for k in the expression 63k + 29 ≡ 3 (mod 11). I simplified the expression to 8k ≡ 7 (mod 11) and am looking to multiply both sides to eliminate the coefficient of k.\\n\\n\\n\",\"type\":\"text\"},\"type\":\"thought_summary\"},\"event_type\":\"step.delta\"}\n\nevent: step.delta\ndata: {\"index\":0,\"delta\":{\"signature\":\"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 truncated
+      }
+    }
+  ]
+}

packages/ai/test/fixtures/recordings/google-interactions/streams-text-and-reports-usage.json

@@ -0,0 +1,32 @@
+{
+  "version": 1,
+  "metadata": {
+    "tags": [
+      "prefix:google-interactions",
+      "provider:google",
+      "protocol:google-interactions"
+    ],
+    "name": "google-interactions/streams-text-and-reports-usage",
+    "recordedAt": "2026-10-03T18:08:32.334Z"
+  },
+  "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\":\"Reply with exactly one word: hello\"}]}],\"stream\":true,\"store\":false,\"generation_config\":{\"max_output_tokens\":2048,\"thinking_level\":\"low\"}}"
+      },
+      "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\":\"EmkKZwFpFH0TKZDuA7i8rhztLxjVI9+u+bpJI/x6/j60nie/dFgj5TyzAJCDDZQYfmeXEBrujJcdKT5FiKPuuMYWq1shTTILJ1JQpG2WkGAk6rAxxgxp7Ac0+rporJ7knHFF/jVWQD+AYGY=\",\"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\":\"hello\",\"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\":9,\"total_input_tokens\":8,\"input_tokens_by_modality\":[{\"modality\":\"text\",\"tokens\":8}],\"total_cached_tokens\":0,\"total_output_tokens\":1,\"total_tool_use_tokens\":0,\"total_thought_tokens\":0,\"raw_prompt_token\":39,\"model_invocation_token_counts\":[{\"prompt_tokens_details\":[{\"modality\":\"text\",\"tokens\":39}],\"candidates_tokens_details\":[{\"modality\":\"text\",\"tokens\":5}]}],\"non_grounding_model_invocation_token_counts\":[{\"prompt_tokens_details\":[{\"modality\":\"text\",\"tokens\":39}],\"candidates_tokens_details\":[{\"modality\":\"text\",\"tokens\":5}]}]},\"created\":\"2026-10-03T18:08:32Z\",\"updated\":\"2026-10-03T18:08:32Z\",\"service_tier\":\"standard\",\"object\":\"interaction\",\"model\":\"gemini-3.8-flash\"},\"event_type\":\"interaction.completed\"}\n\nevent: done\ndata: [DONE]\n\n"
+      }
+    }
+  ]
+}

packages/ai/test/fixtures/recordings/mistral-chat/drives-a-tool-loop.json

@@ -2,9 +2,16 @@
   "version": 1,
   "metadata": {
     "model": "mistral-small-latest",
-    "tags": ["prefix:mistral-chat", "provider:mistral", "protocol:mistral-chat", "tool", "tool-loop", "usage"],
+    "tags": [
+      "prefix:mistral-chat",
+      "provider:mistral",
+      "protocol:mistral-chat",
+      "tool",
+      "tool-loop",
+      "usage"
+    ],
     "name": "mistral-chat/drives-a-tool-loop",
-    "recordedAt": "2026-08-30T17:18:49.552Z"
+    "recordedAt": "2026-10-03T04:09:49.878Z"
   },
   "interactions": [
     {
@@ -15,14 +22,14 @@
         "headers": {
           "content-type": "application/json"
         },
-        "body": "{\"model\":\"mistral-small-latest\",\"messages\":[{\"role\":\"system\",\"content\":\"Call lookup_weather exactly once with Paris.\"},{\"role\":\"user\",\"content\":\"What is the weather?\"}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"lookup_weather\",\"description\":\"Look up the current weather for a city\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false},\"strict\":false}}],\"tool_choice\":{\"type\":\"function\",\"function\":{\"name\":\"lookup_weather\"}},\"stream\":true,\"max_tokens\":160,\"temperature\":0,\"reasoning_effort\":\"none\"}"
+        "body": "{\"model\":\"mistral-small-latest\",\"messages\":[{\"role\":\"system\",\"content\":[{\"type\":\"text\",\"text\":\"Call lookup_weather exactly once with Paris.\"},{\"type\":\"text\",\"text\":\"After the tool result, describe the weather briefly.\"}]},{\"role\":\"user\",\"content\":\"What is the weather?\"}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"lookup_weather\",\"description\":\"Look up the current weather for a city\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false},\"strict\":false}}],\"tool_choice\":{\"type\":\"function\",\"function\":{\"name\":\"lookup_weather\"}},\"stream\":true,\"max_tokens\":160,\"temperature\":0,\"reasoning_effort\":\"none\"}"
       },
       "response": {
         "status": 200,
         "headers": {
           "content-type": "text/event-stream; charset=utf-8"
         },
-        "body": "data: {\"id\":\"07491e37a5ed48f9987f1583753a466b\",\"object\":\"chat.completion.chunk\",\"created\":1788110328,\"model\":\"mistral-small-latest\",\"choices\":[{\"index\":0,\"delta\":{\"role\":\"assistant\",\"content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"id\":\"07491e37a5ed48f9987f1583753a466b\",\"object\":\"chat.completion.chunk\",\"created\":1788110328,\"model\":\"mistral-small-latest\",\"choices\":[{\"index\":0,\"delta\":{\"tool_calls\":[{\"id\":\"ffJovBNqY\",\"type\":\"function\",\"function\":{\"name\":\"lookup_weather\",\"arguments\":\"{\\\"city\\\": \\\"Paris\\\"}\"},\"index\":0}]},\"finish_reason\":\"tool_calls\"}],\"usage\":{\"prompt_tokens\":110,\"total_tokens\":122,\"completion_tokens\":12,\"prompt_tokens_details\":{\"cached_tokens\":0},\"service_tier\":\"standard\"},\"p\":\"abcdefghijklm\"}\n\ndata: [DONE]\n\n"
+        "body": "data: {\"id\":\"81417fdbfbeb4714ae737aab701cbee4\",\"object\":\"chat.completion.chunk\",\"created\":1791000589,\"model\":\"mistral-small-latest\",\"choices\":[{\"index\":0,\"delta\":{\"role\":\"assistant\",\"content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"id\":\"81417fdbfbeb4714ae737aab701cbee4\",\"object\":\"chat.completion.chunk\",\"created\":1791000589,\"model\":\"mistral-small-latest\",\"choices\":[{\"index\":0,\"delta\":{\"tool_calls\":[{\"id\":\"EwgHkPRLW\",\"type\":\"function\",\"function\":{\"name\":\"lookup_weather\",\"arguments\":\"{\\\"city\\\": \\\"Paris\\\"}\"},\"index\":0}]},\"finish_reason\":\"tool_calls\"}],\"usage\":{\"prompt_tokens\":120,\"total_tokens\":132,\"completion_tokens\":12,\"prompt_tokens_details\":{\"cached_tokens\":0},\"service_tier\":\"standard\"},\"p\":\"abcdefghij\"}\n\ndata: [DONE]\n\n"
       }
     },
     {
@@ -33,14 +40,14 @@
         "headers": {
           "content-type": "application/json"
         },
-        "body": "{\"model\":\"mistral-small-latest\",\"messages\":[{\"role\":\"system\",\"content\":\"Call lookup_weather exactly once with Paris.\"},{\"role\":\"user\",\"content\":\"What is the weather?\"},{\"role\":\"assistant\",\"content\":\"\",\"tool_calls\":[{\"id\":\"ffJovBNqY\",\"type\":\"function\",\"function\":{\"name\":\"lookup_weather\",\"arguments\":\"{\\\"city\\\":\\\"Paris\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"ffJovBNqY\",\"name\":\"lookup_weather\",\"content\":\"{\\\"condition\\\":\\\"sunny\\\",\\\"temperature\\\":\\\"18C\\\"}\"}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"lookup_weather\",\"description\":\"Look up the current weather for a city\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false},\"strict\":false}}],\"tool_choice\":\"none\",\"stream\":true,\"max_tokens\":160,\"temperature\":0,\"reasoning_effort\":\"none\"}"
+        "body": "{\"model\":\"mistral-small-latest\",\"messages\":[{\"role\":\"system\",\"content\":[{\"type\":\"text\",\"text\":\"Call lookup_weather exactly once with Paris.\"},{\"type\":\"text\",\"text\":\"After the tool result, describe the weather briefly.\"}]},{\"role\":\"user\",\"content\":\"What is the weather?\"},{\"role\":\"assistant\",\"content\":\"\",\"tool_calls\":[{\"id\":\"EwgHkPRLW\",\"type\":\"function\",\"function\":{\"name\":\"lookup_weather\",\"arguments\":\"{\\\"city\\\":\\\"Paris\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"EwgHkPRLW\",\"name\":\"lookup_weather\",\"content\":\"{\\\"condition\\\":\\\"sunny\\\",\\\"temperature\\\":\\\"18C\\\"}\"}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"lookup_weather\",\"description\":\"Look up the current weather for a city\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false},\"strict\":false}}],\"tool_choice\":\"none\",\"stream\":true,\"max_tokens\":160,\"temperature\":0,\"reasoning_effort\":\"none\"}"
       },
       "response": {
         "status": 200,
         "headers": {
           "content-type": "text/event-stream; charset=utf-8"
         },
-        "body": "data: {\"id\":\"8fcd293093b849139fc0893a48bbc7ce\",\"object\":\"chat.completion.chunk\",\"created\":1788110328,\"model\":\"mistral-small-latest\",\"choices\":[{\"index\":0,\"delta\":{\"role\":\"assistant\",\"content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"id\":\"8fcd293093b849139fc0893a48bbc7ce\",\"object\":\"chat.completion.chunk\",\"created\":1788110328,\"model\":\"mistral-small-latest\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"The\"},\"finish_reason\":null}],\"p\":\"abcdefghijklmn\"}\n\ndata: {\"id\":\"8fcd293093b849139fc0893a48bbc7ce\",\"object\":\"chat.completion.chunk\",\"created\":1788110328,\"model\":\"mistral-small-latest\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\" weather in Paris is\"},\"finish_reason\":null}],\"p\":\"abcdefghijklmn\"}\n\ndata: {\"id\":\"8fcd293093b849139fc0893a48bbc7ce\",\"object\":\"chat.completion.chunk\",\"created\":1788110328,\"model\":\"mistral-small-latest\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\" currently sunny with\"},\"finish_reason\":null}],\"p\":\"abcdefghijklmnopqrstu\"}\n\ndata: {\"id\":\"8fcd293093b849139fc0893a48bbc7ce\",\"object\":\"chat.completion.chunk\",\"created\":1788110328,\"model\":\"mistral-small-latest\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\" a temperature of \"},\"finish_reason\":null}],\"p\":\"abcdef\"}\n\ndata: {\"id\":\"8fcd293093b849139fc0893a48bbc7ce\",\"object\":\"chat.completion.chunk\",\"created\":1788110328,\"model\":\"mistral-small-latest\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"18°C\"},\"finish_reason\":null}],\"p\":\"abcdefghijklmnopqr\"}\n\ndata: {\"id\":\"8fcd293093b849139fc0893a48bbc7ce\",\"object\":\"chat.completion.chunk\",\"created\":1788110328,\"model\":\"mistral-small-latest\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\".\"},\"finish_reason\":\"stop\"}],\"usage\":{\"prompt_tokens\":57,\"total_tokens\":74,\"completion_tokens\":17,\"prompt_tokens_details\":{\"cached_tokens\":0},\"service_tier\":\"standard\"},\"p\":\"abcdefghijklmnopqrstuvwxyz\"}\n\ndata: [DONE]\n\n"
+        "body": "data: {\"id\":\"a46eb8ccd1b947ca9d360c3446b295a5\",\"object\":\"chat.completion.chunk\",\"created\":1791000589,\"model\":\"mistral-small-latest\",\"choices\":[{\"index\":0,\"delta\":{\"role\":\"assistant\",\"content\":\"\"},\"finish_reason\":null}]}\n\ndata: {\"id\":\"a46eb8ccd1b947ca9d360c3446b295a5\",\"object\":\"chat.completion.chunk\",\"created\":1791000589,\"model\":\"mistral-small-latest\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"The\"},\"finish_reason\":null}],\"p\":\"abcdefghijklmnopqrstuvwxyz01234\"}\n\ndata: {\"id\":\"a46eb8ccd1b947ca9d360c3446b295a5\",\"object\":\"chat.completion.chunk\",\"created\":1791000589,\"model\":\"mistral-small-latest\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\" weather in Paris is\"},\"finish_reason\":null}],\"p\":\"abcdefghijkl\"}\n\ndata: {\"id\":\"a46eb8ccd1b947ca9d360c3446b295a5\",\"object\":\"chat.completion.chunk\",\"created\":1791000589,\"model\":\"mistral-small-latest\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\" currently sunny with a\"},\"finish_reason\":null}],\"p\":\"abcdefghijklmn\"}\n\ndata: {\"id\":\"a46eb8ccd1b947ca9d360c3446b295a5\",\"object\":\"chat.completion.chunk\",\"created\":1791000589,\"model\":\"mistral-small-latest\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\" temperature of 1\"},\"finish_reason\":null}],\"p\":\"abcdefghi\"}\n\ndata: {\"id\":\"a46eb8ccd1b947ca9d360c3446b295a5\",\"object\":\"chat.completion.chunk\",\"created\":1791000589,\"model\":\"mistral-small-latest\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"8°C\"},\"finish_reason\":null}],\"p\":\"abcdefghijklmnopqrstuvwx\"}\n\ndata: {\"id\":\"a46eb8ccd1b947ca9d360c3446b295a5\",\"object\":\"chat.completion.chunk\",\"created\":1791000589,\"model\":\"mistral-small-latest\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\".\"},\"finish_reason\":\"stop\"}],\"usage\":{\"prompt_tokens\":67,\"total_tokens\":84,\"completion_tokens\":17,\"prompt_tokens_details\":{\"cached_tokens\":0},\"service_tier\":\"standard\"},\"p\":\"abcdefghijklmnopqrs\"}\n\ndata: [DONE]\n\n"
       }
     }
   ]

packages/ai/test/fixtures/recordings/openai-chat/continues-after-tool-result.json

@@ -1,28 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "name": "openai-chat/continues-after-tool-result",
-    "recordedAt": "2026-05-06T01:33:31.878Z",
-    "tags": ["prefix:openai-chat", "provider:openai", "protocol:openai-chat", "tool"]
-  },
-  "interactions": [
-    {
-      "transport": "http",
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-        "url": "https://api.openai.com/v1/chat/completions",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"gpt-4o-mini\",\"messages\":[{\"role\":\"system\",\"content\":\"Answer using only the provided tool result.\"},{\"role\":\"user\",\"content\":\"What is the weather in Paris?\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_weather\",\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"arguments\":\"{\\\"city\\\":\\\"Paris\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_weather\",\"content\":\"{\\\"forecast\\\":\\\"sunny\\\",\\\"temperature_c\\\":22}\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_tokens\":40,\"temperature\":0}"
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-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream; charset=utf-8"
-        },
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-  ]
-}

packages/ai/test/fixtures/recordings/openai-chat/drives-a-tool-loop-end-to-end.json

@@ -1,46 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "name": "openai-chat/drives-a-tool-loop-end-to-end",
-    "recordedAt": "2026-05-06T01:33:29.747Z",
-    "tags": ["prefix:openai-chat", "provider:openai", "protocol:openai-chat", "tool", "tool-loop"]
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.openai.com/v1/chat/completions",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"gpt-4o-mini\",\"messages\":[{\"role\":\"system\",\"content\":\"Use the get_weather tool, then answer in one short sentence.\"},{\"role\":\"user\",\"content\":\"What is the weather in Paris?\"}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_tokens\":80,\"temperature\":0}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream; charset=utf-8"
-        },
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-      }
-    },
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.openai.com/v1/chat/completions",
-        "headers": {
-          "content-type": "application/json"
-        },
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-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream; charset=utf-8"
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-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/openai-chat/streams-text.json

@@ -1,28 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "name": "openai-chat/streams-text",
-    "recordedAt": "2026-05-06T01:33:30.542Z",
-    "tags": ["prefix:openai-chat", "provider:openai", "protocol:openai-chat"]
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.openai.com/v1/chat/completions",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"gpt-4o-mini\",\"messages\":[{\"role\":\"system\",\"content\":\"You are concise.\"},{\"role\":\"user\",\"content\":\"Say hello in one short sentence.\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_tokens\":20,\"temperature\":0}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream; charset=utf-8"
-        },
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-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/openai-chat/streams-tool-call.json

@@ -1,28 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "name": "openai-chat/streams-tool-call",
-    "recordedAt": "2026-05-06T01:33:31.127Z",
-    "tags": ["prefix:openai-chat", "provider:openai", "protocol:openai-chat", "tool"]
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.openai.com/v1/chat/completions",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"gpt-4o-mini\",\"messages\":[{\"role\":\"system\",\"content\":\"Call tools exactly as requested.\"},{\"role\":\"user\",\"content\":\"Call get_weather with city exactly Paris.\"}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}}],\"tool_choice\":{\"type\":\"function\",\"function\":{\"name\":\"get_weather\"}},\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_tokens\":80,\"temperature\":0}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
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-        },
-        "body": "data: {\"id\":\"chatcmpl-DcLQgGuIIwnMHqZMRCOwZMLir5SkK\",\"object\":\"chat.completion.chunk\",\"created\":1778031210,\"model\":\"gpt-4o-mini-2024-07-18\",\"service_tier\":\"default\",\"system_fingerprint\":\"fp_d0a1738203\",\"choices\":[{\"index\":0,\"delta\":{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"index\":0,\"id\":\"call_5wBV98AvGPwOyC6a2HtKh85w\",\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"arguments\":\"\"}}],\"refusal\":null},\"logprobs\":null,\"finish_reason\":null}],\"usage\":null,\"obfuscation\":\"hrw8\"}\n\ndata: {\"id\":\"chatcmpl-DcLQgGuIIwnMHqZMRCOwZMLir5SkK\",\"object\":\"chat.completion.chunk\",\"created\":1778031210,\"model\":\"gpt-4o-mini-2024-07-18\",\"service_tier\":\"default\",\"system_fingerprint\":\"fp_d0a1738203\",\"choices\":[{\"index\":0,\"delta\":{\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"{\\\"\"}}]},\"logprobs\":null,\"finish_reason\":null}],\"usage\":null,\"obfuscation\":\"MzOlaTohF20Sbb\"}\n\ndata: {\"id\":\"chatcmpl-DcLQgGuIIwnMHqZMRCOwZMLir5SkK\",\"object\":\"chat.completion.chunk\",\"created\":1778031210,\"model\":\"gpt-4o-mini-2024-07-18\",\"service_tier\":\"default\",\"system_fingerprint\":\"fp_d0a1738203\",\"choices\":[{\"index\":0,\"delta\":{\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"city\"}}]},\"logprobs\":null,\"finish_reason\":null}],\"usage\":null,\"obfuscation\":\"QuYBQ5vYEUVxR\"}\n\ndata: {\"id\":\"chatcmpl-DcLQgGuIIwnMHqZMRCOwZMLir5SkK\",\"object\":\"chat.completion.chunk\",\"created\":1778031210,\"model\":\"gpt-4o-mini-2024-07-18\",\"service_tier\":\"default\",\"system_fingerprint\":\"fp_d0a1738203\",\"choices\":[{\"index\":0,\"delta\":{\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"\\\":\\\"\"}}]},\"logprobs\":null,\"finish_reason\":null}],\"usage\":null,\"obfuscation\":\"spyXlsV2hl6l\"}\n\ndata: {\"id\":\"chatcmpl-DcLQgGuIIwnMHqZMRCOwZMLir5SkK\",\"object\":\"chat.completion.chunk\",\"created\":1778031210,\"model\":\"gpt-4o-mini-2024-07-18\",\"service_tier\":\"default\",\"system_fingerprint\":\"fp_d0a1738203\",\"choices\":[{\"index\":0,\"delta\":{\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"Paris\"}}]},\"logprobs\":null,\"finish_reason\":null}],\"usage\":null,\"obfuscation\":\"Db1cjFKa6YAI\"}\n\ndata: {\"id\":\"chatcmpl-DcLQgGuIIwnMHqZMRCOwZMLir5SkK\",\"object\":\"chat.completion.chunk\",\"created\":1778031210,\"model\":\"gpt-4o-mini-2024-07-18\",\"service_tier\":\"default\",\"system_fingerprint\":\"fp_d0a1738203\",\"choices\":[{\"index\":0,\"delta\":{\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"\\\"}\"}}]},\"logprobs\":null,\"finish_reason\":null}],\"usage\":null,\"obfuscation\":\"oPu35nrhXcjTL5\"}\n\ndata: {\"id\":\"chatcmpl-DcLQgGuIIwnMHqZMRCOwZMLir5SkK\",\"object\":\"chat.completion.chunk\",\"created\":1778031210,\"model\":\"gpt-4o-mini-2024-07-18\",\"service_tier\":\"default\",\"system_fingerprint\":\"fp_d0a1738203\",\"choices\":[{\"index\":0,\"delta\":{},\"logprobs\":null,\"finish_reason\":\"stop\"}],\"usage\":null,\"obfuscation\":\"63TVy\"}\n\ndata: {\"id\":\"chatcmpl-DcLQgGuIIwnMHqZMRCOwZMLir5SkK\",\"object\":\"chat.completion.chunk\",\"created\":1778031210,\"model\":\"gpt-4o-mini-2024-07-18\",\"service_tier\":\"default\",\"system_fingerprint\":\"fp_d0a1738203\",\"choices\":[],\"usage\":{\"prompt_tokens\":67,\"completion_tokens\":5,\"total_tokens\":72,\"prompt_tokens_details\":{\"cached_tokens\":0,\"audio_tokens\":0},\"completion_tokens_details\":{\"reasoning_tokens\":0,\"audio_tokens\":0,\"accepted_prediction_tokens\":0,\"rejected_prediction_tokens\":0}},\"obfuscation\":\"NxJjur40z4H\"}\n\ndata: [DONE]\n\n"
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-}

packages/ai/test/fixtures/recordings/openai-compatible-chat/deepseek-streams-text.json

@@ -1,28 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "name": "openai-compatible-chat/deepseek-streams-text",
-    "recordedAt": "2026-04-28T21:18:49.498Z",
-    "tags": ["prefix:openai-compatible-chat", "protocol:openai-compatible-chat", "provider:deepseek"]
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.deepseek.com/v1/chat/completions",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"deepseek-chat\",\"messages\":[{\"role\":\"system\",\"content\":\"You are concise.\"},{\"role\":\"user\",\"content\":\"Reply with exactly: Hello!\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_tokens\":20,\"temperature\":0}"
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-      "response": {
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-        "headers": {
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-    }
-  ]
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packages/ai/test/fixtures/recordings/openai-compatible-chat/groq-llama-3-3-70b-drives-a-tool-loop.json

@@ -1,53 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "name": "openai-compatible-chat/groq-llama-3-3-70b-drives-a-tool-loop",
-    "recordedAt": "2026-05-06T01:35:06.032Z",
-    "tags": [
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-      "protocol:openai-compatible-chat",
-      "provider:groq",
-      "tool",
-      "tool-loop",
-      "golden"
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-  },
-  "interactions": [
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-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.groq.com/openai/v1/chat/completions",
-        "headers": {
-          "content-type": "application/json"
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-        "body": "{\"model\":\"llama-3.3-70b-versatile\",\"messages\":[{\"role\":\"system\",\"content\":\"Use the get_weather tool, then answer in one short sentence.\"},{\"role\":\"user\",\"content\":\"What is the weather in Paris?\"}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_tokens\":80,\"temperature\":0}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
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-        "body": "data: {\"id\":\"chatcmpl-74a8ff95-296e-4c98-8e51-4b23d5d7f261\",\"object\":\"chat.completion.chunk\",\"created\":1778031305,\"model\":\"llama-3.3-70b-versatile\",\"system_fingerprint\":\"fp_43d97c5965\",\"choices\":[{\"index\":0,\"delta\":{\"role\":\"assistant\",\"content\":null},\"logprobs\":null,\"finish_reason\":null}],\"x_groq\":{\"id\":\"req_01kqxes90afm8r12en80ez1vhw\",\"seed\":1587279809}}\n\ndata: {\"id\":\"chatcmpl-74a8ff95-296e-4c98-8e51-4b23d5d7f261\",\"object\":\"chat.completion.chunk\",\"created\":1778031305,\"model\":\"llama-3.3-70b-versatile\",\"system_fingerprint\":\"fp_43d97c5965\",\"choices\":[{\"index\":0,\"delta\":{\"tool_calls\":[{\"id\":\"4vgxtgdfg\",\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"arguments\":\"{\\\"city\\\":\\\"Paris\\\"}\"},\"index\":0}]},\"logprobs\":null,\"finish_reason\":null}]}\n\ndata: {\"id\":\"chatcmpl-74a8ff95-296e-4c98-8e51-4b23d5d7f261\",\"object\":\"chat.completion.chunk\",\"created\":1778031305,\"model\":\"llama-3.3-70b-versatile\",\"system_fingerprint\":\"fp_43d97c5965\",\"choices\":[{\"index\":0,\"delta\":{},\"logprobs\":null,\"finish_reason\":\"tool_calls\"}],\"x_groq\":{\"id\":\"req_01kqxes90afm8r12en80ez1vhw\",\"usage\":{\"queue_time\":0.036768035,\"prompt_tokens\":237,\"prompt_time\":0.012356963,\"completion_tokens\":14,\"completion_time\":0.047052437,\"total_tokens\":251,\"total_time\":0.0594094}},\"usage\":{\"queue_time\":0.036768035,\"prompt_tokens\":237,\"prompt_time\":0.012356963,\"completion_tokens\":14,\"completion_time\":0.047052437,\"total_tokens\":251,\"total_time\":0.0594094}}\n\ndata: {\"id\":\"chatcmpl-74a8ff95-296e-4c98-8e51-4b23d5d7f261\",\"object\":\"chat.completion.chunk\",\"created\":1778031305,\"model\":\"llama-3.3-70b-versatile\",\"system_fingerprint\":\"fp_43d97c5965\",\"choices\":[],\"usage\":{\"queue_time\":0.036768035,\"prompt_tokens\":237,\"prompt_time\":0.012356963,\"completion_tokens\":14,\"completion_time\":0.047052437,\"total_tokens\":251,\"total_time\":0.0594094},\"service_tier\":\"on_demand\"}\n\ndata: [DONE]\n\n"
-      }
-    },
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.groq.com/openai/v1/chat/completions",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"llama-3.3-70b-versatile\",\"messages\":[{\"role\":\"system\",\"content\":\"Use the get_weather tool, then answer in one short sentence.\"},{\"role\":\"user\",\"content\":\"What is the weather in Paris?\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"4vgxtgdfg\",\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"arguments\":\"{\\\"city\\\":\\\"Paris\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"4vgxtgdfg\",\"content\":\"{\\\"temperature\\\":22,\\\"condition\\\":\\\"sunny\\\"}\"}],\"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}}}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_tokens\":80,\"temperature\":0}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
-        "body": "data: {\"id\":\"chatcmpl-52c0acaf-3f4b-45c8-8aa5-93a3b6adb045\",\"object\":\"chat.completion.chunk\",\"created\":1778031305,\"model\":\"llama-3.3-70b-versatile\",\"system_fingerprint\":\"fp_43d97c5965\",\"choices\":[{\"index\":0,\"delta\":{\"role\":\"assistant\",\"content\":\"\"},\"logprobs\":null,\"finish_reason\":null}],\"x_groq\":{\"id\":\"req_01kqxes966fm8r4q94e70a83gn\",\"seed\":524268521}}\n\ndata: {\"id\":\"chatcmpl-52c0acaf-3f4b-45c8-8aa5-93a3b6adb045\",\"object\":\"chat.completion.chunk\",\"created\":1778031305,\"model\":\"llama-3.3-70b-versatile\",\"system_fingerprint\":\"fp_43d97c5965\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"The\"},\"logprobs\":null,\"finish_reason\":null}]}\n\ndata: {\"id\":\"chatcmpl-52c0acaf-3f4b-45c8-8aa5-93a3b6adb045\",\"object\":\"chat.completion.chunk\",\"created\":1778031305,\"model\":\"llama-3.3-70b-versatile\",\"system_fingerprint\":\"fp_43d97c5965\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\" 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-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/openai-compatible-chat/groq-streams-text.json

@@ -1,28 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "name": "openai-compatible-chat/groq-streams-text",
-    "recordedAt": "2026-05-06T01:35:05.532Z",
-    "tags": ["prefix:openai-compatible-chat", "protocol:openai-compatible-chat", "provider:groq"]
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.groq.com/openai/v1/chat/completions",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"llama-3.3-70b-versatile\",\"messages\":[{\"role\":\"system\",\"content\":\"You are concise.\"},{\"role\":\"user\",\"content\":\"Reply with exactly: Hello!\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_tokens\":20,\"temperature\":0}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
-        "body": "data: {\"id\":\"chatcmpl-dd5aae9f-7032-44a7-aca8-01027903b4c9\",\"object\":\"chat.completion.chunk\",\"created\":1778031305,\"model\":\"llama-3.3-70b-versatile\",\"system_fingerprint\":\"fp_d42c28f9ce\",\"choices\":[{\"index\":0,\"delta\":{\"role\":\"assistant\",\"content\":\"\"},\"logprobs\":null,\"finish_reason\":null}],\"x_groq\":{\"id\":\"req_01kqxes8r3fmja0yhxvt665m6h\",\"seed\":687314058}}\n\ndata: {\"id\":\"chatcmpl-dd5aae9f-7032-44a7-aca8-01027903b4c9\",\"object\":\"chat.completion.chunk\",\"created\":1778031305,\"model\":\"llama-3.3-70b-versatile\",\"system_fingerprint\":\"fp_d42c28f9ce\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"Hello\"},\"logprobs\":null,\"finish_reason\":null}]}\n\ndata: {\"id\":\"chatcmpl-dd5aae9f-7032-44a7-aca8-01027903b4c9\",\"object\":\"chat.completion.chunk\",\"created\":1778031305,\"model\":\"llama-3.3-70b-versatile\",\"system_fingerprint\":\"fp_d42c28f9ce\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"!\"},\"logprobs\":null,\"finish_reason\":null}]}\n\ndata: {\"id\":\"chatcmpl-dd5aae9f-7032-44a7-aca8-01027903b4c9\",\"object\":\"chat.completion.chunk\",\"created\":1778031305,\"model\":\"llama-3.3-70b-versatile\",\"system_fingerprint\":\"fp_d42c28f9ce\",\"choices\":[{\"index\":0,\"delta\":{},\"logprobs\":null,\"finish_reason\":\"stop\"}],\"x_groq\":{\"id\":\"req_01kqxes8r3fmja0yhxvt665m6h\",\"usage\":{\"queue_time\":0.0381395,\"prompt_tokens\":45,\"prompt_time\":0.003985297,\"completion_tokens\":3,\"completion_time\":0.014171875,\"total_tokens\":48,\"total_time\":0.018157172}},\"usage\":{\"queue_time\":0.0381395,\"prompt_tokens\":45,\"prompt_time\":0.003985297,\"completion_tokens\":3,\"completion_time\":0.014171875,\"total_tokens\":48,\"total_time\":0.018157172}}\n\ndata: {\"id\":\"chatcmpl-dd5aae9f-7032-44a7-aca8-01027903b4c9\",\"object\":\"chat.completion.chunk\",\"created\":1778031305,\"model\":\"llama-3.3-70b-versatile\",\"system_fingerprint\":\"fp_d42c28f9ce\",\"choices\":[],\"usage\":{\"queue_time\":0.0381395,\"prompt_tokens\":45,\"prompt_time\":0.003985297,\"completion_tokens\":3,\"completion_time\":0.014171875,\"total_tokens\":48,\"total_time\":0.018157172},\"service_tier\":\"on_demand\"}\n\ndata: [DONE]\n\n"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/openai-compatible-chat/groq-streams-tool-call.json

@@ -1,28 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "name": "openai-compatible-chat/groq-streams-tool-call",
-    "recordedAt": "2026-05-06T01:35:05.706Z",
-    "tags": ["prefix:openai-compatible-chat", "protocol:openai-compatible-chat", "provider:groq", "tool"]
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.groq.com/openai/v1/chat/completions",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"llama-3.3-70b-versatile\",\"messages\":[{\"role\":\"system\",\"content\":\"Call tools exactly as requested.\"},{\"role\":\"user\",\"content\":\"Call get_weather with city exactly Paris.\"}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}}],\"tool_choice\":{\"type\":\"function\",\"function\":{\"name\":\"get_weather\"}},\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_tokens\":80,\"temperature\":0}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
-        "body": "data: {\"id\":\"chatcmpl-05380361-f8e4-444a-ae80-296b4d1d46f7\",\"object\":\"chat.completion.chunk\",\"created\":1778031305,\"model\":\"llama-3.3-70b-versatile\",\"system_fingerprint\":\"fp_0761e44d7b\",\"choices\":[{\"index\":0,\"delta\":{\"role\":\"assistant\",\"content\":null},\"logprobs\":null,\"finish_reason\":null}],\"x_groq\":{\"id\":\"req_01kqxes8v4fm7baf4smt42f0qn\",\"seed\":1846647562}}\n\ndata: {\"id\":\"chatcmpl-05380361-f8e4-444a-ae80-296b4d1d46f7\",\"object\":\"chat.completion.chunk\",\"created\":1778031305,\"model\":\"llama-3.3-70b-versatile\",\"system_fingerprint\":\"fp_0761e44d7b\",\"choices\":[{\"index\":0,\"delta\":{\"tool_calls\":[{\"id\":\"mcf2d8nn1\",\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"arguments\":\"{\\\"city\\\":\\\"Paris\\\"}\"},\"index\":0}]},\"logprobs\":null,\"finish_reason\":null}]}\n\ndata: {\"id\":\"chatcmpl-05380361-f8e4-444a-ae80-296b4d1d46f7\",\"object\":\"chat.completion.chunk\",\"created\":1778031305,\"model\":\"llama-3.3-70b-versatile\",\"system_fingerprint\":\"fp_0761e44d7b\",\"choices\":[{\"index\":0,\"delta\":{},\"logprobs\":null,\"finish_reason\":\"tool_calls\"}],\"x_groq\":{\"id\":\"req_01kqxes8v4fm7baf4smt42f0qn\",\"usage\":{\"queue_time\":0.07684935,\"prompt_tokens\":249,\"prompt_time\":0.014815006,\"completion_tokens\":10,\"completion_time\":0.036435756,\"total_tokens\":259,\"total_time\":0.051250762}},\"usage\":{\"queue_time\":0.07684935,\"prompt_tokens\":249,\"prompt_time\":0.014815006,\"completion_tokens\":10,\"completion_time\":0.036435756,\"total_tokens\":259,\"total_time\":0.051250762}}\n\ndata: {\"id\":\"chatcmpl-05380361-f8e4-444a-ae80-296b4d1d46f7\",\"object\":\"chat.completion.chunk\",\"created\":1778031305,\"model\":\"llama-3.3-70b-versatile\",\"system_fingerprint\":\"fp_0761e44d7b\",\"choices\":[],\"usage\":{\"queue_time\":0.07684935,\"prompt_tokens\":249,\"prompt_time\":0.014815006,\"completion_tokens\":10,\"completion_time\":0.036435756,\"total_tokens\":259,\"total_time\":0.051250762},\"service_tier\":\"on_demand\"}\n\ndata: [DONE]\n\n"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/openai-compatible-chat/openrouter-claude-opus-4-7-drives-a-tool-loop.json

@@ -1,54 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "name": "openai-compatible-chat/openrouter-claude-opus-4-7-drives-a-tool-loop",
-    "recordedAt": "2026-05-06T01:35:14.282Z",
-    "tags": [
-      "prefix:openai-compatible-chat",
-      "protocol:openai-compatible-chat",
-      "provider:openrouter",
-      "tool",
-      "tool-loop",
-      "golden",
-      "flagship"
-    ]
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://openrouter.ai/api/v1/chat/completions",
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-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"anthropic/claude-opus-4.7\",\"messages\":[{\"role\":\"system\",\"content\":\"Use the get_weather tool exactly once, then answer in one short sentence.\"},{\"role\":\"user\",\"content\":\"What is the weather in Paris?\"}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_tokens\":80,\"temperature\":0}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
-        "body": ": OPENROUTER PROCESSING\n\n: OPENROUTER PROCESSING\n\n: OPENROUTER PROCESSING\n\ndata: {\"id\":\"gen-1778031311-S3NlfYGRwAnOoPoNrThK\",\"object\":\"chat.completion.chunk\",\"created\":1778031311,\"model\":\"anthropic/claude-4.7-opus-20260416\",\"provider\":\"Amazon Bedrock\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"id\":\"toolu_bdrk_01AVRkzbigpMbNJ3zjnuQ6ZE\",\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"arguments\":\"\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031311-S3NlfYGRwAnOoPoNrThK\",\"object\":\"chat.completion.chunk\",\"created\":1778031311,\"model\":\"anthropic/claude-4.7-opus-20260416\",\"provider\":\"Amazon Bedrock\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031311-S3NlfYGRwAnOoPoNrThK\",\"object\":\"chat.completion.chunk\",\"created\":1778031311,\"model\":\"anthropic/claude-4.7-opus-20260416\",\"provider\":\"Amazon Bedrock\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031311-S3NlfYGRwAnOoPoNrThK\",\"object\":\"chat.completion.chunk\",\"created\":1778031311,\"model\":\"anthropic/claude-4.7-opus-20260416\",\"provider\":\"Amazon Bedrock\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"{\\\"city\\\": \\\"P\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031311-S3NlfYGRwAnOoPoNrThK\",\"object\":\"chat.completion.chunk\",\"created\":1778031311,\"model\":\"anthropic/claude-4.7-opus-20260416\",\"provider\":\"Amazon Bedrock\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"ari\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031311-S3NlfYGRwAnOoPoNrThK\",\"object\":\"chat.completion.chunk\",\"created\":1778031311,\"model\":\"anthropic/claude-4.7-opus-20260416\",\"provider\":\"Amazon Bedrock\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"s\\\"}\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031311-S3NlfYGRwAnOoPoNrThK\",\"object\":\"chat.completion.chunk\",\"created\":1778031311,\"model\":\"anthropic/claude-4.7-opus-20260416\",\"provider\":\"Amazon Bedrock\",\"service_tier\":\"standard\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":\"tool_calls\",\"native_finish_reason\":\"tool_use\"}]}\n\ndata: {\"id\":\"gen-1778031311-S3NlfYGRwAnOoPoNrThK\",\"object\":\"chat.completion.chunk\",\"created\":1778031311,\"model\":\"anthropic/claude-4.7-opus-20260416\",\"provider\":\"Amazon Bedrock\",\"service_tier\":\"standard\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":\"tool_calls\",\"native_finish_reason\":\"tool_use\"}],\"usage\":{\"prompt_tokens\":802,\"completion_tokens\":66,\"total_tokens\":868,\"cost\":0.00566,\"is_byok\":false,\"prompt_tokens_details\":{\"cached_tokens\":0,\"cache_write_tokens\":0,\"audio_tokens\":0,\"video_tokens\":0},\"cost_details\":{\"upstream_inference_cost\":0.00566,\"upstream_inference_prompt_cost\":0.00401,\"upstream_inference_completions_cost\":0.00165},\"completion_tokens_details\":{\"reasoning_tokens\":0,\"image_tokens\":0,\"audio_tokens\":0}}}\n\ndata: [DONE]\n\n"
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-    },
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://openrouter.ai/api/v1/chat/completions",
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-    }
-  ]
-}

packages/ai/test/fixtures/recordings/openai-compatible-chat/openrouter-gpt-4o-mini-drives-a-tool-loop.json

@@ -1,53 +0,0 @@
-{
-  "version": 1,
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-    "recordedAt": "2026-05-06T01:35:08.922Z",
-    "tags": [
-      "prefix:openai-compatible-chat",
-      "protocol:openai-compatible-chat",
-      "provider:openrouter",
-      "tool",
-      "tool-loop",
-      "golden"
-    ]
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://openrouter.ai/api/v1/chat/completions",
-        "headers": {
-          "content-type": "application/json"
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-        "body": "{\"model\":\"openai/gpt-4o-mini\",\"messages\":[{\"role\":\"system\",\"content\":\"Use the get_weather tool exactly once, then answer in one short sentence.\"},{\"role\":\"user\",\"content\":\"What is the weather in Paris?\"}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_tokens\":80,\"temperature\":0}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
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-    },
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://openrouter.ai/api/v1/chat/completions",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"openai/gpt-4o-mini\",\"messages\":[{\"role\":\"system\",\"content\":\"Use the get_weather tool exactly once, then answer in one short sentence.\"},{\"role\":\"user\",\"content\":\"What is the weather in Paris?\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_S63bjYITINemSHZ4Uqns7PIu\",\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"arguments\":\"{\\\"city\\\":\\\"Paris\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_S63bjYITINemSHZ4Uqns7PIu\",\"content\":\"{\\\"temperature\\\":22,\\\"condition\\\":\\\"sunny\\\"}\"}],\"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}}}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_tokens\":80,\"temperature\":0}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
-        "body": ": OPENROUTER PROCESSING\n\ndata: {\"id\":\"gen-1778031308-uNHYY6MdDXOs0BYMXXVb\",\"object\":\"chat.completion.chunk\",\"created\":1778031308,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_7e69b4ef44\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"The\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031308-uNHYY6MdDXOs0BYMXXVb\",\"object\":\"chat.completion.chunk\",\"created\":1778031308,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_7e69b4ef44\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\" weather\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031308-uNHYY6MdDXOs0BYMXXVb\",\"object\":\"chat.completion.chunk\",\"created\":1778031308,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_7e69b4ef44\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\" in\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031308-uNHYY6MdDXOs0BYMXXVb\",\"object\":\"chat.completion.chunk\",\"created\":1778031308,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_7e69b4ef44\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\" Paris\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031308-uNHYY6MdDXOs0BYMXXVb\",\"object\":\"chat.completion.chunk\",\"created\":1778031308,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_7e69b4ef44\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\" is\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031308-uNHYY6MdDXOs0BYMXXVb\",\"object\":\"chat.completion.chunk\",\"created\":1778031308,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_7e69b4ef44\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\" sunny\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031308-uNHYY6MdDXOs0BYMXXVb\",\"object\":\"chat.completion.chunk\",\"created\":1778031308,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_7e69b4ef44\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\" with\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031308-uNHYY6MdDXOs0BYMXXVb\",\"object\":\"chat.completion.chunk\",\"created\":1778031308,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_7e69b4ef44\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\" a\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031308-uNHYY6MdDXOs0BYMXXVb\",\"object\":\"chat.completion.chunk\",\"created\":1778031308,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_7e69b4ef44\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\" temperature\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031308-uNHYY6MdDXOs0BYMXXVb\",\"object\":\"chat.completion.chunk\",\"created\":1778031308,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_7e69b4ef44\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\" of\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031308-uNHYY6MdDXOs0BYMXXVb\",\"object\":\"chat.completion.chunk\",\"created\":1778031308,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_7e69b4ef44\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\" \",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031308-uNHYY6MdDXOs0BYMXXVb\",\"object\":\"chat.completion.chunk\",\"created\":1778031308,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_7e69b4ef44\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"22\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031308-uNHYY6MdDXOs0BYMXXVb\",\"object\":\"chat.completion.chunk\",\"created\":1778031308,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_7e69b4ef44\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"°C\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031308-uNHYY6MdDXOs0BYMXXVb\",\"object\":\"chat.completion.chunk\",\"created\":1778031308,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_7e69b4ef44\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\".\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"idLine truncated
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/openai-compatible-chat/openrouter-gpt-5-5-drives-a-tool-loop.json

@@ -1,54 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "name": "openai-compatible-chat/openrouter-gpt-5-5-drives-a-tool-loop",
-    "recordedAt": "2026-05-06T01:35:11.662Z",
-    "tags": [
-      "prefix:openai-compatible-chat",
-      "protocol:openai-compatible-chat",
-      "provider:openrouter",
-      "tool",
-      "tool-loop",
-      "golden",
-      "flagship"
-    ]
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://openrouter.ai/api/v1/chat/completions",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"openai/gpt-5.5\",\"messages\":[{\"role\":\"system\",\"content\":\"Use the get_weather tool exactly once, then answer in one short sentence.\"},{\"role\":\"user\",\"content\":\"What is the weather in Paris?\"}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_tokens\":80,\"temperature\":0}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
-        "body": ": OPENROUTER PROCESSING\n\n: OPENROUTER PROCESSING\n\ndata: {\"id\":\"gen-1778031308-dVa9axcHcOlG9GcilZkz\",\"object\":\"chat.completion.chunk\",\"created\":1778031308,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"id\":\"call_4A7V7UN36HXCUUn8qAOQaKGw\",\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"arguments\":\"\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031308-dVa9axcHcOlG9GcilZkz\",\"object\":\"chat.completion.chunk\",\"created\":1778031308,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031308-dVa9axcHcOlG9GcilZkz\",\"object\":\"chat.completion.chunk\",\"created\":1778031308,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"{\\\"\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031308-dVa9axcHcOlG9GcilZkz\",\"object\":\"chat.completion.chunk\",\"created\":1778031308,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"city\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031308-dVa9axcHcOlG9GcilZkz\",\"object\":\"chat.completion.chunk\",\"created\":1778031308,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"\\\":\\\"\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031308-dVa9axcHcOlG9GcilZkz\",\"object\":\"chat.completion.chunk\",\"created\":1778031308,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"Paris\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031308-dVa9axcHcOlG9GcilZkz\",\"object\":\"chat.completion.chunk\",\"created\":1778031308,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"\\\"}\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031308-dVa9axcHcOlG9GcilZkz\",\"object\":\"chat.completion.chunk\",\"created\":1778031308,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"service_tier\":\"default\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":\"tool_calls\",\"native_finish_reason\":\"completed\"}]}\n\ndata: {\"id\":\"gen-1778031308-dVa9axcHcOlG9GcilZkz\",\"object\":\"chat.completion.chunk\",\"created\":1778031308,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"service_tier\":\"default\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":\"tool_calls\",\"native_finish_reason\":\"completed\"}],\"usage\":{\"prompt_tokens\":69,\"completion_tokens\":18,\"total_tokens\":87,\"cost\":0.000885,\"is_byok\":false,\"prompt_tokens_details\":{\"cached_tokens\":0,\"cache_write_tokens\":0,\"audio_tokens\":0,\"video_tokens\":0},\"cost_details\":{\"upstream_inference_cost\":0.000885,\"upstream_inference_prompt_cost\":0.000345,\"upstream_inference_completions_cost\":0.00054},\"completion_tokens_details\":{\"reasoning_tokens\":0,\"image_tokens\":0,\"audio_tokens\":0}}}\n\ndata: [DONE]\n\n"
-      }
-    },
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://openrouter.ai/api/v1/chat/completions",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"openai/gpt-5.5\",\"messages\":[{\"role\":\"system\",\"content\":\"Use the get_weather tool exactly once, then answer in one short sentence.\"},{\"role\":\"user\",\"content\":\"What is the weather in Paris?\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_4A7V7UN36HXCUUn8qAOQaKGw\",\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"arguments\":\"{\\\"city\\\":\\\"Paris\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_4A7V7UN36HXCUUn8qAOQaKGw\",\"content\":\"{\\\"temperature\\\":22,\\\"condition\\\":\\\"sunny\\\"}\"}],\"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}}}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_tokens\":80,\"temperature\":0}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
-        "body": ": OPENROUTER PROCESSING\n\n: OPENROUTER PROCESSING\n\ndata: {\"id\":\"gen-1778031310-JUYfFzDbun699uUYoA4N\",\"object\":\"chat.completion.chunk\",\"created\":1778031310,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"Paris\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031310-JUYfFzDbun699uUYoA4N\",\"object\":\"chat.completion.chunk\",\"created\":1778031310,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\" is\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031310-JUYfFzDbun699uUYoA4N\",\"object\":\"chat.completion.chunk\",\"created\":1778031310,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\" sunny\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031310-JUYfFzDbun699uUYoA4N\",\"object\":\"chat.completion.chunk\",\"created\":1778031310,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\" and\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031310-JUYfFzDbun699uUYoA4N\",\"object\":\"chat.completion.chunk\",\"created\":1778031310,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\" \",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031310-JUYfFzDbun699uUYoA4N\",\"object\":\"chat.completion.chunk\",\"created\":1778031310,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"22\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031310-JUYfFzDbun699uUYoA4N\",\"object\":\"chat.completion.chunk\",\"created\":1778031310,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"°C\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031310-JUYfFzDbun699uUYoA4N\",\"object\":\"chat.completion.chunk\",\"created\":1778031310,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\".\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031310-JUYfFzDbun699uUYoA4N\",\"object\":\"chat.completion.chunk\",\"created\":1778031310,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"service_tier\":\"default\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":\"stop\",\"native_finish_reason\":\"completed\"}]}\n\ndata: {\"id\":\"gen-1778031310-JUYfFzDbun699uUYoA4N\",\"object\":\"chat.completion.chunk\",\"created\":1778031310,\"model\":\"openai/gpt-5.5-20260423\",\"provider\":\"OpenAI\",\"service_tier\":\"default\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":\"stop\",\"native_finish_reason\":\"completed\"}],\"usage\":{\"prompt_tokens\":108,\"completion_tokens\":12,\"total_tokens\":120,\"cost\":0.0009,\"is_byok\":false,\"prompt_tokens_details\":{\"cached_tokens\":0,\"cache_write_tokens\":0,\"audio_tokens\":0,\"video_tokens\":0},\"cost_details\":{\"upstream_inference_cost\":0.0009,\"upstream_inference_prompt_cost\":0.00054,\"upstream_inference_completions_cost\":0.00036},\"completion_tokens_details\":{\"reasoning_tokens\":0,\"image_tokens\":0,\"audio_tokens\":0}}}\n\ndata: [DONE]\n\n"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/openai-compatible-chat/openrouter-streams-text.json

@@ -1,28 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "name": "openai-compatible-chat/openrouter-streams-text",
-    "recordedAt": "2026-05-06T01:35:06.767Z",
-    "tags": ["prefix:openai-compatible-chat", "protocol:openai-compatible-chat", "provider:openrouter"]
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://openrouter.ai/api/v1/chat/completions",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"openai/gpt-4o-mini\",\"messages\":[{\"role\":\"system\",\"content\":\"You are concise.\"},{\"role\":\"user\",\"content\":\"Reply with exactly: Hello!\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_tokens\":20,\"temperature\":0}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
-        "body": ": OPENROUTER PROCESSING\n\ndata: {\"id\":\"gen-1778031306-UD7bR0I1JNCsPvVzlXat\",\"object\":\"chat.completion.chunk\",\"created\":1778031306,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"Azure\",\"system_fingerprint\":\"fp_eb37e061ec\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"Hello\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031306-UD7bR0I1JNCsPvVzlXat\",\"object\":\"chat.completion.chunk\",\"created\":1778031306,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"Azure\",\"system_fingerprint\":\"fp_eb37e061ec\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"!\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031306-UD7bR0I1JNCsPvVzlXat\",\"object\":\"chat.completion.chunk\",\"created\":1778031306,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"Azure\",\"system_fingerprint\":\"fp_eb37e061ec\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":\"stop\",\"native_finish_reason\":\"stop\"}]}\n\ndata: {\"id\":\"gen-1778031306-UD7bR0I1JNCsPvVzlXat\",\"object\":\"chat.completion.chunk\",\"created\":1778031306,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"Azure\",\"system_fingerprint\":\"fp_eb37e061ec\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":\"stop\",\"native_finish_reason\":\"stop\"}],\"usage\":{\"prompt_tokens\":21,\"completion_tokens\":3,\"total_tokens\":24,\"cost\":0.00000495,\"is_byok\":false,\"prompt_tokens_details\":{\"cached_tokens\":0,\"cache_write_tokens\":0,\"audio_tokens\":0,\"video_tokens\":0},\"cost_details\":{\"upstream_inference_cost\":0.00000495,\"upstream_inference_prompt_cost\":0.00000315,\"upstream_inference_completions_cost\":0.0000018},\"completion_tokens_details\":{\"reasoning_tokens\":0,\"image_tokens\":0,\"audio_tokens\":0}}}\n\ndata: [DONE]\n\n"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/openai-compatible-chat/openrouter-streams-tool-call.json

@@ -1,28 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "name": "openai-compatible-chat/openrouter-streams-tool-call",
-    "recordedAt": "2026-05-06T01:35:07.466Z",
-    "tags": ["prefix:openai-compatible-chat", "protocol:openai-compatible-chat", "provider:openrouter", "tool"]
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://openrouter.ai/api/v1/chat/completions",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"openai/gpt-4o-mini\",\"messages\":[{\"role\":\"system\",\"content\":\"Call tools exactly as requested.\"},{\"role\":\"user\",\"content\":\"Call get_weather with city exactly Paris.\"}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}}],\"tool_choice\":{\"type\":\"function\",\"function\":{\"name\":\"get_weather\"}},\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_tokens\":80,\"temperature\":0}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
-        "body": ": OPENROUTER PROCESSING\n\ndata: {\"id\":\"gen-1778031306-HYzOq04JIk1hZQ4iaNjD\",\"object\":\"chat.completion.chunk\",\"created\":1778031306,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_b6580bbee1\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"id\":\"call_L7mHMq49ZSUTBHjLJfBIP2eT\",\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"arguments\":\"\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031306-HYzOq04JIk1hZQ4iaNjD\",\"object\":\"chat.completion.chunk\",\"created\":1778031306,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_b6580bbee1\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031306-HYzOq04JIk1hZQ4iaNjD\",\"object\":\"chat.completion.chunk\",\"created\":1778031306,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_b6580bbee1\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"{\\\"\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031306-HYzOq04JIk1hZQ4iaNjD\",\"object\":\"chat.completion.chunk\",\"created\":1778031306,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_b6580bbee1\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"city\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031306-HYzOq04JIk1hZQ4iaNjD\",\"object\":\"chat.completion.chunk\",\"created\":1778031306,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_b6580bbee1\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"\\\":\\\"\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031306-HYzOq04JIk1hZQ4iaNjD\",\"object\":\"chat.completion.chunk\",\"created\":1778031306,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_b6580bbee1\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"Paris\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031306-HYzOq04JIk1hZQ4iaNjD\",\"object\":\"chat.completion.chunk\",\"created\":1778031306,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_b6580bbee1\",\"choices\":[{\"index\":0,\"delta\":{\"content\":null,\"role\":\"assistant\",\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"\\\"}\"}}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1778031306-HYzOq04JIk1hZQ4iaNjD\",\"object\":\"chat.completion.chunk\",\"created\":1778031306,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_b6580bbee1\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":\"tool_calls\",\"native_finish_reason\":\"stop\"}]}\n\ndata: {\"id\":\"gen-1778031306-HYzOq04JIk1hZQ4iaNjD\",\"object\":\"chat.completion.chunk\",\"created\":1778031306,\"model\":\"openai/gpt-4o-mini\",\"provider\":\"OpenAI\",\"system_fingerprint\":\"fp_b6580bbee1\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":\"tool_calls\",\"native_finish_reason\":\"stop\"}],\"usage\":{\"prompt_tokens\":67,\"completion_tokens\":5,\"total_tokens\":72,\"cost\":0.00001305,\"is_byok\":false,\"prompt_tokens_details\":{\"cached_tokens\":0,\"cache_write_tokens\":0,\"audio_tokens\":0,\"video_tokens\":0},\"cost_details\":{\"upstream_inference_cost\":0.00001305,\"upstream_inference_prompt_cost\":0.00001005,\"upstream_inference_completions_cost\":0.000003},\"completion_tokens_details\":{\"reasoning_tokens\":0,\"image_tokens\":0,\"audio_tokens\":0}}}\n\ndata: [DONE]\n\n"
-      }
-    }
-  ]
-}

packages/ai/test/lib/tool-runtime.ts

@@ -8,7 +8,6 @@ import {
   type ProviderMetadata,
   type ToolCallPart,
   ToolResultPart,
-  type ToolResultValue,
   type Usage,
 } from "../../src/schema/index.js"
 import { type Tools, toDefinitions } from "../../src/tool.js"

packages/ai/test/provider-error.test.ts

@@ -39,9 +39,7 @@ describe("provider error classification", () => {
     ]
 
     expect(failures).toEqual(
-      failures.map((failure) =>
-        expect.objectContaining({ _tag: "InvalidRequest", classification: "payload-too-large" }),
-      ),
+      failures.map(() => expect.objectContaining({ _tag: "InvalidRequest", classification: "payload-too-large" })),
     )
   })
 
@@ -462,6 +460,27 @@ describe("provider error rawBody classification", () => {
     expect(reason._tag === "InvalidRequest" ? reason.classification : reason._tag).toBe("context-overflow")
   })
 
+  test("separates Cohere prompt overflow from output limit rejections", () => {
+    const classify = (message: string) => {
+      const reason = classifyProviderFailure({
+        message,
+        status: 400,
+        rawBody: JSON.stringify({ error_type: "TOO_MANY_TOKENS", message }),
+      })
+      return reason._tag === "InvalidRequest" ? reason.classification : reason._tag
+    }
+    expect(
+      classify(
+        "too many tokens: size limit exceeded by 168512 tokens. Try using shorter or fewer inputs. The limit for this model is 132000 tokens.",
+      ),
+    ).toBe("context-overflow")
+    expect(
+      classify(
+        "too many tokens: max tokens must be less than or equal to 4096, the maximum output length for this model - received 1000000.",
+      ),
+    ).toBeUndefined()
+  })
+
   test("classifies invalid API keys reported as HTTP 400 as authentication failures", () => {
     const rawBody = JSON.stringify({
       error: {

packages/ai/test/provider-package.test.ts

@@ -7,67 +7,6 @@ const configuration = (provider: string, message: string) =>
   expect.objectContaining({ _tag: "ProviderConfiguration", provider, message })
 
 describe("provider package entrypoints", () => {
-  test("semantic API aliases expose the same contract", async () => {
-    const modules = await Promise.all([
-      import("@opencode/ai/providers/openai"),
-      import("@opencode/ai/providers/openai/responses"),
-      import("@opencode/ai/providers/openai/chat"),
-      import("@opencode/ai/providers/anthropic"),
-      import("@opencode/ai/providers/anthropic-compatible"),
-      import("@opencode/ai/providers/openai-compatible"),
-      import("@opencode/ai/providers/openai-compatible/responses"),
-      import("@opencode/ai/providers/amazon-bedrock"),
-      import("@opencode/ai/providers/azure"),
-      import("@opencode/ai/providers/azure/responses"),
-      import("@opencode/ai/providers/azure/chat"),
-      import("@opencode/ai/providers/google"),
-      import("@opencode/ai/providers/google-vertex"),
-      import("@opencode/ai/providers/google-vertex/gemini"),
-      import("@opencode/ai/providers/google-vertex/chat"),
-      import("@opencode/ai/providers/google-vertex/responses"),
-      import("@opencode/ai/providers/google-vertex/messages"),
-      import("@opencode/ai/providers/openrouter"),
-      import("@opencode/ai/providers/xai"),
-      import("@opencode/ai/providers/amazon-bedrock/mantle"),
-      import("@opencode/ai/providers/amazon-bedrock/mantle/chat"),
-      import("@opencode/ai/providers/amazon-bedrock/mantle/responses"),
-      import("@opencode/ai/providers/togetherai"),
-      import("@opencode/ai/providers/cerebras"),
-      import("@opencode/ai/providers/deepinfra"),
-      import("@opencode/ai/providers/groq"),
-      import("@opencode/ai/providers/baseten"),
-      import("@opencode/ai/providers/deepseek"),
-      import("@opencode/ai/providers/fireworks"),
-      import("@opencode/ai/providers/cloudflare-ai-gateway"),
-      import("@opencode/ai/providers/cloudflare-workers-ai"),
-      import("@opencode/ai/providers/minimax"),
-      import("@opencode/ai/providers/minimax/messages"),
-      import("@opencode/ai/providers/minimax/chat"),
-      import("@opencode/ai/providers/minimax/responses"),
-      import("@opencode/ai/providers/moonshot"),
-      import("@opencode/ai/providers/moonshot/chat"),
-      import("@opencode/ai/providers/moonshot/messages"),
-      import("@opencode/ai/providers/moonshot/responses"),
-      import("@opencode/ai/providers/zai"),
-      import("@opencode/ai/providers/zai/chat"),
-      import("@opencode/ai/providers/zai-coding-plan"),
-      import("@opencode/ai/providers/zai-coding-plan/chat"),
-      import("@opencode/ai/providers/zai-coding-plan/messages"),
-      import("@opencode/ai/providers/zai-coding-plan/responses"),
-      import("@opencode/ai/providers/alibaba"),
-      import("@opencode/ai/providers/alibaba/chat"),
-      import("@opencode/ai/providers/alibaba/messages"),
-      import("@opencode/ai/providers/alibaba/responses"),
-    ])
-
-    for (const module of modules) expect(module.model).toBeFunction()
-    expect(modules[0].model).toBe(modules[1].model)
-    expect(modules[8].model).toBe(modules[9].model)
-    expect(modules[12].model).toBe(modules[13].model)
-    expect(modules[19].model).toBe(modules[21].model)
-    expect(modules[19].model).not.toBe(modules[20].model)
-  })
-
   test("maps Alibaba API entrypoints onto explicit regional routes", async () => {
     const modules = await Promise.all([
       import("@opencode/ai/providers/alibaba"),
@@ -75,7 +14,6 @@ describe("provider package entrypoints", () => {
       import("@opencode/ai/providers/alibaba/messages"),
       import("@opencode/ai/providers/alibaba/responses"),
     ])
-    expect(modules[0].model).toBe(modules[1].model)
     const settings = {
       region: "eu-central-1",
       workspaceID: "llm-fixture",
@@ -103,7 +41,6 @@ describe("provider package entrypoints", () => {
       import("@opencode/ai/providers/moonshot/messages"),
       import("@opencode/ai/providers/moonshot/responses"),
     ])
-    expect(modules[0].model).toBe(modules[1].model)
     const settings = {
       apiKey: "fixture",
       baseURL: "https://gateway.example/v1",
@@ -121,6 +58,25 @@ describe("provider package entrypoints", () => {
     })
   })
 
+  test("maps Cohere entrypoints onto native and compatibility routes", async () => {
+    const modules = await Promise.all([
+      import("@opencode/ai/providers/cohere"),
+      import("@opencode/ai/providers/cohere/chat"),
+    ])
+    const settings = { apiKey: "fixture", headers: { "x-test": "fixture" }, body: { future_option: true } }
+    const routes = [
+      ["cohere-chat", "https://api.cohere.com/v2"],
+      ["cohere-chat-completions", "https://api.cohere.ai/compatibility/v1"],
+    ]
+    modules.forEach((module, index) => {
+      const selected = module.model("command-a-03-2025", settings)
+      expect(selected.provider).toBe("cohere")
+      expect([selected.route.id, selected.route.endpoint.baseURL]).toEqual(routes[index])
+      expect(selected.route.defaults.headers).toEqual(settings.headers)
+      expect(selected.route.defaults.http?.body).toEqual(settings.body)
+    })
+  })
+
   test("maps MiniMax API entrypoints onto provider-owned routes", async () => {
     const modules = await Promise.all([
       import("@opencode/ai/providers/minimax"),
@@ -128,7 +84,6 @@ describe("provider package entrypoints", () => {
       import("@opencode/ai/providers/minimax/chat"),
       import("@opencode/ai/providers/minimax/responses"),
     ])
-    expect(modules[0].model).toBe(modules[1].model)
     const settings = {
       apiKey: "fixture",
       baseURL: "https://gateway.example/v1",
@@ -155,8 +110,6 @@ describe("provider package entrypoints", () => {
       import("@opencode/ai/providers/zai-coding-plan/messages"),
       import("@opencode/ai/providers/zai-coding-plan/responses"),
     ])
-    expect(modules[0].model).toBe(modules[1].model)
-    expect(modules[2].model).toBe(modules[3].model)
     const routes = [
       "zai-chat",
       "zai-chat",
@@ -411,6 +364,7 @@ describe("provider package entrypoints", () => {
 
   test("maps Google package settings onto the Gemini model", async () => {
     const Google = await import("@opencode/ai/providers/google")
+    const GoogleInteractions = await import("@opencode/ai/providers/google/interactions")
     const selected = Google.model("gemini-2.5-flash", {
       apiKey: "fixture",
       baseURL: "https://generativelanguage.test/v1beta",
@@ -424,11 +378,20 @@ describe("provider package entrypoints", () => {
     expect(selected.route.defaults.headers).toEqual({ "x-application": "opencode" })
     expect(selected.route.defaults.http?.body).toEqual({ safetySettings: [] })
     expect(selected.route.defaults.providerOptions).toEqual({ thinkingConfig: { thinkingBudget: 1_024 } })
+    const interactions = GoogleInteractions.model("gemini-3.8-flash", {
+      apiKey: "fixture",
+      baseURL: "https://generativelanguage.test/v1beta",
+      thinkingLevel: "low",
+      store: true,
+    })
+    expect(interactions.route.id).toBe("google-interactions")
+    expect(interactions.route.endpoint.baseURL).toBe("https://generativelanguage.test/v1beta")
+    expect(interactions.route.defaults.providerOptions).toEqual({ thinkingLevel: "low", store: true })
+    expect(Google.configure().interactions("gemini-3.8-flash").route.protocol).toBe("google-interactions")
   })
 
   test("selects Vertex entrypoints with the same model contract", async () => {
     const GoogleVertex = await import("@opencode/ai/providers/google-vertex")
-    const GoogleVertexGemini = await import("@opencode/ai/providers/google-vertex/gemini")
     const GoogleVertexChat = await import("@opencode/ai/providers/google-vertex/chat")
     const GoogleVertexResponses = await import("@opencode/ai/providers/google-vertex/responses")
     const GoogleVertexMessages = await import("@opencode/ai/providers/google-vertex/messages")
@@ -453,7 +416,6 @@ describe("provider package entrypoints", () => {
       project: "vertex-project",
     })
 
-    expect(GoogleVertexGemini.model).toBe(GoogleVertex.model)
     expect(gemini.route.id).toBe("google-vertex-gemini")
     expect(gemini.route.protocol).toBe("gemini")
     expect(gemini.route.endpoint.baseURL).toBe("https://aiplatform.googleapis.com/v1/publishers/google")

packages/ai/test/provider/bedrock-converse.test.ts

@@ -21,7 +21,6 @@ import {
 import { LLMClient } from "../../src/route.js"
 import { compileRequest } from "../../src/route/client.js"
 import { AmazonBedrock } from "../../src/providers.js"
-import * as BedrockConverse from "../../src/protocols/bedrock-converse.js"
 import { it } from "../lib/effect.js"
 import { withProcessEnv } from "../lib/env.js"
 import { dynamicResponse, fixedResponse } from "../lib/http.js"

packages/ai/test/provider/bedrock-mantle.test.ts

@@ -1,9 +1,8 @@
 import { describe, expect } from "bun:test"
 import { Effect } from "effect"
 import { HttpClientRequest } from "effect/unstable/http"
-import { LLM, Message } from "../../src/index.js"
+import { LLM, LLMEvent, LLMRequest, Message, ToolDefinition } from "../../src/index.js"
 import { AmazonBedrockMantle } from "../../src/providers.js"
-import { model } from "../../src/providers/amazon-bedrock/mantle.js"
 import { OpenResponses } from "../../src/protocols/open-responses.js"
 import { compileRequest, LLMClient } from "../../src/route/client.js"
 import { it } from "../lib/effect.js"
@@ -19,14 +18,14 @@ const credentials = {
 }
 
 describe("Amazon Bedrock Mantle provider", () => {
-  it.effect("uses Responses by default and exposes Chat explicitly", () =>
+  it.effect("uses Responses by default and exposes Chat and Messages explicitly", () =>
     Effect.gen(function* () {
       const provider = AmazonBedrockMantle.configure({ credentials })
-      expect(provider.model).toBe(provider.responses)
-      expect(AmazonBedrockMantle.model).toBe(AmazonBedrockMantle.responsesModel)
-      expect(model).toBe(AmazonBedrockMantle.responsesModel)
       expect(provider.model("openai.gpt-oss-120b").route.transport).toBe(OpenResponses.httpTransport)
       const chat = yield* compileRequest(LLM.request({ model: provider.chat("openai.gpt-oss-120b"), prompt: "Hi" }))
+      const messages = yield* compileRequest(
+        LLM.request({ model: provider.messages("anthropic.claude-opus-4-8"), prompt: "Hi", cache: "none" }),
+      )
       const responses = yield* compileRequest(
         LLM.request({ model: provider.model("openai.gpt-oss-120b"), prompt: "Hi" }),
       )
@@ -36,6 +35,11 @@ describe("Amazon Bedrock Mantle provider", () => {
         protocol: "openai-chat",
         body: { model: "openai.gpt-oss-120b" },
       })
+      expect(messages).toMatchObject({
+        route: "bedrock-mantle-messages",
+        protocol: "anthropic-messages",
+        body: { model: "anthropic.claude-opus-4-8", stream: true },
+      })
       expect(responses).toMatchObject({
         route: "bedrock-mantle-responses",
         protocol: "open-responses",
@@ -43,43 +47,77 @@ describe("Amazon Bedrock Mantle provider", () => {
       })
       expect(provider.model("openai.gpt-oss-120b").route.providerMetadataKey).toBe("mantle")
       expect(provider.chat("openai.gpt-oss-120b").route.providerMetadataKey).toBe("mantle")
+      expect(provider.messages("anthropic.claude-opus-4-8").route.providerMetadataKey).toBe("mantle")
     }),
   )
 
-  it.effect("preserves configured top-p generation defaults for Chat and Responses", () =>
+  it.effect("preserves configured top-p generation defaults for Chat, Messages, and Responses", () =>
     Effect.gen(function* () {
       const settings = { apiKey: "test-key", topP: 0.8 }
       const chat = yield* compileRequest(
         LLM.request({ model: AmazonBedrockMantle.chatModel("openai.gpt-oss-safeguard-20b", settings), prompt: "Hi" }),
       )
+      const messages = yield* compileRequest(
+        LLM.request({ model: AmazonBedrockMantle.messagesModel("anthropic.claude-opus-4-8", settings), prompt: "Hi" }),
+      )
       const responses = yield* compileRequest(
         LLM.request({ model: AmazonBedrockMantle.responsesModel("openai.gpt-oss-120b", settings), prompt: "Hi" }),
       )
 
       expect(chat.body.top_p).toBe(0.8)
+      expect(messages.body.top_p).toBe(0.8)
       expect(responses.body.top_p).toBe(0.8)
     }),
   )
 
-  it.effect("uses the Mantle endpoint and signing service", () =>
+  it.effect("uses the Mantle endpoint and signing service across Responses and Messages", () =>
     Effect.gen(function* () {
       const seen: Array<{ readonly url: string; readonly authorization: string | undefined }> = []
-      const model = AmazonBedrockMantle.configure({ credentials, region: "us-west-1" }).responses("openai.gpt-oss-120b")
-      yield* LLMClient.generate(LLM.request({ model, prompt: "Hi" })).pipe(
-        Effect.provide(
-          dynamicResponse((input) =>
-            Effect.gen(function* () {
-              const request = yield* HttpClientRequest.toWeb(input.request)
-              seen.push({ url: request.url, authorization: request.headers.get("authorization") ?? undefined })
-              return input.respond("", { headers: { "content-type": "text/event-stream" } })
-            }),
+      const configured = AmazonBedrockMantle.configure({ credentials, region: "us-west-1" })
+      for (const selected of [
+        configured.responses("openai.gpt-oss-120b"),
+        configured.messages("anthropic.claude-opus-4-8"),
+      ]) {
+        yield* LLMClient.generate(LLM.request({ model: selected, prompt: "Hi" })).pipe(
+          Effect.provide(
+            dynamicResponse((input) =>
+              Effect.gen(function* () {
+                const request = yield* HttpClientRequest.toWeb(input.request)
+                seen.push({ url: request.url, authorization: request.headers.get("authorization") ?? undefined })
+                return input.respond("", { headers: { "content-type": "text/event-stream" } })
+              }),
+            ),
           ),
-        ),
-        Effect.flip,
+          Effect.flip,
+        )
+      }
+
+      expect(seen.map((item) => item.url)).toEqual([
+        "https://bedrock-mantle.us-west-1.api.aws/v1/responses",
+        "https://bedrock-mantle.us-west-1.api.aws/anthropic/v1/messages",
+      ])
+      expect(seen.every((item) => item.authorization?.includes("/us-west-1/bedrock-mantle/aws4_request"))).toBe(true)
+    }).pipe(withProcessEnv({ AWS_BEARER_TOKEN_BEDROCK: undefined })),
+  )
+
+  it.effect("applies inline cache breakpoints on Mantle Messages", () =>
+    Effect.gen(function* () {
+      const model = AmazonBedrockMantle.configure({ apiKey: "test-key" }).messages("anthropic.claude-opus-4-8")
+      const prepared = yield* compileRequest(
+        LLM.request({
+          model,
+          system: "You are concise.",
+          messages: [Message.user("Hello")],
+          cache: "auto",
+        }),
       )
 
-      expect(seen[0]?.url).toBe("https://bedrock-mantle.us-west-1.api.aws/v1/responses")
-      expect(seen[0]?.authorization).toContain("/us-west-1/bedrock-mantle/aws4_request")
+      expect(prepared.body.system).toEqual([
+        { type: "text", text: "You are concise.", cache_control: { type: "ephemeral" } },
+      ])
+      expect(prepared.body.messages).toEqual([
+        { role: "user", content: [{ type: "text", text: "Hello", cache_control: { type: "ephemeral" } }] },
+      ])
     }),
   )
 
@@ -201,3 +239,198 @@ describe("Amazon Bedrock Mantle recorded", () => {
     }),
   )
 })
+
+const recordedMessages = recordedTests({
+  prefix: "bedrock-mantle-messages",
+  provider: "amazon-bedrock",
+  protocol: "anthropic-messages",
+  requires: ["AWS_BEARER_TOKEN_BEDROCK"],
+  options: { redact: { allowRequestHeaders: ["anthropic-version", "anthropic-beta"] } },
+})
+
+const mantleMessages = (modelID: string) =>
+  AmazonBedrockMantle.configure({
+    apiKey: process.env.AWS_BEARER_TOKEN_BEDROCK ?? "fixture",
+    region: "us-east-1",
+  }).messages(modelID)
+
+const weatherTool = ToolDefinition.make({
+  name: "get_weather",
+  description: "Get the current weather in a city",
+  inputSchema: {
+    type: "object",
+    properties: { city: { type: "string", enum: ["Paris"] } },
+    required: ["city"],
+    additionalProperties: false,
+  },
+})
+
+describe("Amazon Bedrock Mantle Messages recorded", () => {
+  recordedMessages.effect.with(
+    "replays signed thinking through a tool loop and native system update",
+    { tags: ["tool", "tool-loop", "reasoning", "system-update"], metadata: { model: "anthropic.claude-opus-4-8" } },
+    () =>
+      Effect.gen(function* () {
+        const model = mantleMessages("anthropic.claude-opus-4-8")
+        const initial = LLM.request({
+          model,
+          system: "You are a concise assistant.",
+          prompt:
+            "First calculate 37 * 43. Then call get_weather for Paris. After receiving the tool result, state both the product and the weather.",
+          tools: [weatherTool],
+          providerOptions: {
+            thinking: { type: "adaptive", display: "summarized" },
+            effort: "medium",
+          },
+          generation: { maxTokens: 2048 },
+        })
+        const first = yield* LLMClient.generate(initial)
+        expect(first.finishReason.normalized).toBe("tool-calls")
+        expect(first.toolCalls).toMatchObject([{ name: "get_weather", input: { city: "Paris" } }])
+        expect(first.reasoning.length).toBeGreaterThan(0)
+        expect(first.events.some(LLMEvent.is.toolInputDelta)).toBe(true)
+        const reasoningPart = first.message.content.find((part) => part.type === "reasoning")
+        const signature = (reasoningPart?.providerMetadata?.mantle as { readonly signature?: unknown } | undefined)
+          ?.signature
+        expect(typeof signature).toBe("string")
+
+        const followUp = LLMRequest.update(initial, {
+          messages: [
+            ...initial.messages,
+            first.message,
+            ...first.toolCalls.map((call) =>
+              Message.tool({ id: call.id, name: call.name, result: { condition: "sunny", temperatureC: 18 } }),
+            ),
+            Message.system("Reply in French in one short sentence."),
+          ],
+        })
+        const compiled = yield* compileRequest(followUp)
+        expect(compiled.body.messages[1]?.content[0]).toEqual({
+          type: "thinking",
+          thinking: first.reasoning,
+          signature: signature as string,
+        })
+        expect(compiled.body.messages.at(-1)).toEqual({
+          role: "system",
+          content: [
+            { type: "text", text: "Reply in French in one short sentence.", cache_control: { type: "ephemeral" } },
+          ],
+        })
+
+        const second = yield* LLMClient.generate(followUp)
+        expect(second.finishReason.normalized).toBe("stop")
+        expect(second.text).toContain("1591")
+        expect(second.text).toContain("18")
+      }),
+    120_000,
+  )
+
+  recordedMessages.effect.with(
+    "lowers system updates to wrapped user text on Haiku 4.5 with budget thinking",
+    { tags: ["reasoning", "system-update"], metadata: { model: "anthropic.claude-haiku-4-5" } },
+    () =>
+      Effect.gen(function* () {
+        const request = LLM.request({
+          model: mantleMessages("anthropic.claude-haiku-4-5"),
+          messages: [Message.user("What is 19 multiplied by 23?"), Message.system("Reply with only the integer.")],
+          providerOptions: {
+            thinking: { type: "enabled", budgetTokens: 1024 },
+          },
+          generation: { maxTokens: 2048 },
+        })
+        const compiled = yield* compileRequest(request)
+        expect(compiled.body.thinking).toEqual({ type: "enabled", budget_tokens: 1024 })
+        expect(compiled.body.messages.some((message) => message.role === "system")).toBe(false)
+
+        const response = yield* LLMClient.generate(request)
+        expect(response.finishReason.normalized).toBe("stop")
+        expect(response.reasoning.length).toBeGreaterThan(0)
+        expect(response.text.trim()).toContain("437")
+      }),
+    120_000,
+  )
+
+  recordedMessages.effect.with(
+    "applies mid-conversation effort updates and thinking block binding on Opus 5.5",
+    { tags: ["reasoning", "effort-update"], metadata: { model: "anthropic.claude-opus-5-5" } },
+    () =>
+      Effect.gen(function* () {
+        const model = mantleMessages("anthropic.claude-opus-5-5")
+        const firstRequest = LLM.request({
+          model,
+          prompt: "Compute 37 * 43 step by step, then reply with only the integer.",
+          providerOptions: {
+            thinking: { type: "adaptive", display: "summarized" },
+            effort: "high",
+          },
+          generation: { maxTokens: 2048 },
+        })
+        const firstCompiled = yield* compileRequest(firstRequest)
+        expect(firstCompiled.body.thinking).toEqual({
+          type: "adaptive",
+          display: "summarized",
+          block_binding: { prefix_mismatch_behavior: "drop_block" },
+        })
+
+        const first = yield* LLMClient.generate(firstRequest)
+        expect(first.finishReason.normalized).toBe("stop")
+        expect(first.reasoning.length).toBeGreaterThan(0)
+        expect(first.text.replaceAll(",", "")).toContain("1591")
+
+        const secondRequest = LLM.request({
+          model,
+          messages: [
+            ...firstRequest.messages,
+            first.message,
+            Message.effort({ effort: "low", previous: "high" }),
+            Message.user("Add 9 to that result. Reply with only the integer."),
+          ],
+          providerOptions: {
+            thinking: { type: "adaptive", display: "summarized" },
+            effort: "low",
+          },
+          generation: { maxTokens: 2048 },
+        })
+        const secondCompiled = yield* compileRequest(secondRequest)
+        expect(secondCompiled.body.output_config).toEqual({ effort: "high" })
+        expect(secondCompiled.body.messages.filter((message) => message.role === "system")).toEqual([
+          { role: "system", content: [], output_config: { effort: "low" } },
+        ])
+
+        const second = yield* LLMClient.generate(secondRequest)
+        expect(second.finishReason.normalized).toBe("stop")
+        expect(second.text.replaceAll(",", "")).toContain("1600")
+      }),
+    120_000,
+  )
+
+  recordedMessages.effect.with(
+    "strips unsupported mid-conversation effort updates on Opus 5.0",
+    { tags: ["reasoning", "effort-update"], metadata: { model: "anthropic.claude-opus-5" } },
+    () =>
+      Effect.gen(function* () {
+        const request = LLM.request({
+          model: mantleMessages("anthropic.claude-opus-5"),
+          messages: [
+            Message.user("What is 12 + 30?"),
+            Message.assistant("42"),
+            Message.effort({ effort: "low", previous: "high" }),
+            Message.user("Add 8 to that result. Reply with only the integer."),
+          ],
+          providerOptions: {
+            thinking: { type: "adaptive", display: "summarized" },
+            effort: "low",
+          },
+          generation: { maxTokens: 1024 },
+        })
+        const compiled = yield* compileRequest(request)
+        expect(compiled.body.output_config).toEqual({ effort: "low" })
+        expect(compiled.body.messages.some((message) => message.role === "system")).toBe(false)
+
+        const response = yield* LLMClient.generate(request)
+        expect(response.finishReason.normalized).toBe("stop")
+        expect(response.text.trim()).toContain("50")
+      }),
+    120_000,
+  )
+})

packages/ai/test/provider/cloudflare.test.ts

@@ -1,4 +1,4 @@
-import { describe, expect, test } from "bun:test"
+import { describe, expect } from "bun:test"
 import { ConfigProvider, Effect, Schema } from "effect"
 import { HttpClientRequest } from "effect/unstable/http"
 import { LLM, LLMEvent } from "../../src/index.js"

packages/ai/test/provider/cohere.recorded.test.ts

@@ -0,0 +1,98 @@
+import { expect } from "bun:test"
+import { Effect } from "effect"
+import { LLM, LLMEvent, LLMRequest, SystemPart } from "../../src/index.js"
+import { Cohere } from "../../src/providers/cohere.js"
+import { LLMClient } from "../../src/route.js"
+import { expectWeatherToolLoop, goldenWeatherToolLoopRequest, runWeatherToolLoop } from "../recorded-scenarios.js"
+import { recordedTests } from "../recorded-test.js"
+
+const recorded = recordedTests({ prefix: "cohere", provider: "cohere", requires: ["COHERE_API_KEY"] })
+const cohere = Cohere.configure({ apiKey: process.env.COHERE_API_KEY ?? "fixture" })
+
+recorded.effect(
+  "streams native text and usage",
+  () =>
+    Effect.gen(function* () {
+      const response = yield* LLMClient.generate(
+        LLM.request({
+          model: cohere.model("command-a-03-2025"),
+          prompt: "Reply exactly: OK",
+          generation: { maxTokens: 64 },
+        }),
+      )
+      expect(response.text.trim()).toMatch(/^OK\.?$/)
+      expect(response.usage.inputTokens).toBeGreaterThan(0)
+      expect(response.usage.outputTokens).toBeGreaterThan(0)
+      expect(response.events.find(LLMEvent.is.finish)?.reason).toEqual({ normalized: "stop", raw: "COMPLETE" })
+      expect(response.usage.providerMetadata?.cohere?.billed_units).toBeDefined()
+    }),
+  60_000,
+)
+
+recorded.effect(
+  "streams native thinking with a budget",
+  () =>
+    Effect.gen(function* () {
+      const response = yield* LLMClient.generate(
+        LLM.request({
+          model: cohere.model("command-a-reasoning-08-2025"),
+          prompt: "What is 17 times 23? Answer briefly.",
+          providerOptions: { thinking: { type: "enabled", tokenBudget: 128 } },
+          generation: { maxTokens: 2048 },
+        }),
+      )
+      expect(response.reasoning.length).toBeGreaterThan(0)
+      expect(response.text).toContain("391")
+      expect(response.usage.reasoningTokens).toBeGreaterThan(0)
+      expect(response.usage.reasoningTokens).toBeLessThanOrEqual(128)
+      expect(response.events.filter(LLMEvent.is.finish)).toHaveLength(1)
+    }),
+  60_000,
+)
+
+recorded.effect(
+  "continues a native tool call",
+  () =>
+    Effect.gen(function* () {
+      const events = yield* runWeatherToolLoop(
+        LLMRequest.update(
+          goldenWeatherToolLoopRequest({
+            id: "cohere-tool-loop",
+            model: cohere.model("command-a-plus-05-2026"),
+            maxTokens: 2048,
+            temperature: false,
+          }),
+          {
+            system: [
+              SystemPart.make("Use the get_weather tool exactly once."),
+              SystemPart.make("After the tool result, reply exactly: Paris is sunny."),
+            ],
+          },
+        ),
+      )
+      expectWeatherToolLoop(events)
+      expect(events.some(LLMEvent.is.toolInputDelta)).toBe(true)
+    }),
+  60_000,
+)
+
+recorded.effect(
+  "streams compatible chat reasoning",
+  () =>
+    Effect.gen(function* () {
+      const response = yield* LLMClient.generate(
+        LLM.request({
+          model: cohere.chat("command-a-reasoning-08-2025"),
+          prompt: "What is 17 times 23? Answer briefly.",
+          providerOptions: { reasoningEffort: "high" },
+          generation: { maxTokens: 2048 },
+        }),
+      )
+      expect(response.reasoning.length).toBeGreaterThan(0)
+      expect(response.text).toContain("391")
+      expect(response.events.find(LLMEvent.is.finish)?.reason.normalized).toBe("stop")
+      expect(response.usage.inputTokens).toBeGreaterThan(0)
+      expect(response.usage.reasoningTokens).toBeGreaterThan(0)
+    }),
+  60_000,
+)

packages/ai/test/provider/cohere.test.ts

@@ -0,0 +1,272 @@
+import { expect, test } from "bun:test"
+import { Effect } from "effect"
+import { LLM, LLMClient, LLMEvent, Media, Message, SystemPart, isRetryable } from "../../src/index.js"
+import { Cohere } from "../../src/providers/cohere.js"
+import { compileRequest } from "../../src/route/client.js"
+import { it } from "../lib/effect.js"
+import { fixedResponse } from "../lib/http.js"
+import { sseEvents } from "../lib/sse.js"
+
+const cohere = Cohere.configure({ apiKey: "fixture" })
+
+test("Cohere exposes native and compatible endpoints without Core remapping", () => {
+  expect(cohere.model("command-a-03-2025").route.endpoint.baseURL).toBe("https://api.cohere.com/v2")
+  expect(cohere.chat("command-a-03-2025").route.endpoint.baseURL).toBe("https://api.cohere.ai/compatibility/v1")
+  expect(
+    Cohere.model("command-a-03-2025", { apiKey: "fixture", headers: { "X-Test": "yes" }, body: { temperature: 0 } })
+      .route.defaults?.http,
+  ).toMatchObject({ body: { temperature: 0 } })
+})
+
+it.effect("Cohere lowers native history, thinking, tools, and sampling", () =>
+  Effect.gen(function* () {
+    const prepared = yield* compileRequest(
+      LLM.request({
+        model: cohere.model("command-a-reasoning-08-2025"),
+        system: [SystemPart.make("Be concise.\nKeep this newline."), SystemPart.make("Second instructions.")],
+        messages: [
+          Message.user("Lookup Paris"),
+          Message.assistant([{ type: "tool-call", id: "lookup-1", name: "lookup", input: { city: "Paris" } }]),
+          Message.tool({ id: "lookup-1", name: "lookup", result: { sunny: true } }),
+        ],
+        tools: [{ name: "lookup", description: "Look up a city", inputSchema: { type: "object", properties: {} } }],
+        toolChoice: "required",
+        providerOptions: { thinking: { tokenBudget: 128 } },
+        generation: { maxTokens: 2048, topP: 0.9, topK: 10 },
+      }),
+    )
+    expect(prepared.body).toMatchObject({
+      model: "command-a-reasoning-08-2025",
+      stream: true,
+      p: 0.9,
+      k: 10,
+      max_tokens: 2048,
+      thinking: { type: "enabled", token_budget: 128 },
+      tool_choice: "REQUIRED",
+      messages: [
+        {
+          role: "system",
+          content: [
+            { type: "text", text: "Be concise.\nKeep this newline." },
+            { type: "text", text: "Second instructions." },
+          ],
+        },
+        { role: "user", content: [{ type: "text", text: "Lookup Paris" }] },
+        {
+          role: "assistant",
+          tool_calls: [{ id: "lookup-1", function: { name: "lookup", arguments: '{"city":"Paris"}' } }],
+        },
+        { role: "tool", tool_call_id: "lookup-1", content: '{"sunny":true}' },
+      ],
+    })
+  }),
+)
+
+it.effect("Cohere compatibility omits unsupported OpenAI fields", () =>
+  Effect.gen(function* () {
+    const prepared = yield* compileRequest(
+      LLM.request({
+        model: cohere.chat("command-a-reasoning-08-2025"),
+        prompt: "Hello",
+        providerOptions: { reasoningEffort: "high" },
+        generation: { maxTokens: 64 },
+      }),
+    )
+    expect(prepared.body).toMatchObject({ reasoning_effort: "high", max_tokens: 64, stream: true })
+    expect(prepared.body.stream_options).toEqual({ include_usage: true })
+    for (const key of ["store", "max_completion_tokens", "parallel_tool_calls", "prompt_cache_key"])
+      expect(prepared.body[key]).toBeUndefined()
+  }),
+)
+
+it.effect("Cohere maps inclusive usage while retaining distinct billed units", () =>
+  Effect.gen(function* () {
+    const response = yield* LLMClient.generate(
+      LLM.request({ model: cohere.model("command-a-03-2025"), prompt: "Hi" }),
+    ).pipe(
+      Effect.provide(
+        fixedResponse(
+          sseEvents(
+            { type: "message-start" },
+            { type: "content-start", index: 0, delta: { message: { content: { type: "thinking", thinking: "" } } } },
+            { type: "content-delta", index: 0, delta: { message: { content: { thinking: "Think" } } } },
+            { type: "content-end", index: 0 },
+            { type: "content-start", index: 1, delta: { message: { content: { type: "text", text: "" } } } },
+            { type: "content-delta", index: 1, delta: { message: { content: { text: "OK" } } } },
+            { type: "content-end", index: 1 },
+            {
+              type: "message-end",
+              delta: {
+                finish_reason: "COMPLETE",
+                usage: {
+                  tokens: { input_tokens: 100, output_tokens: 20, reasoning_tokens: 10 },
+                  billed_units: { input_tokens: 30, output_tokens: 15 },
+                  cached_tokens: 60,
+                },
+              },
+            },
+          ),
+        ),
+      ),
+    )
+    expect(response.text).toBe("OK")
+    expect(response.reasoning).toBe("Think")
+    expect(response.usage).toMatchObject({
+      inputTokens: 100,
+      nonCachedInputTokens: 40,
+      cacheReadInputTokens: 60,
+      outputTokens: 20,
+      reasoningTokens: 10,
+      totalTokens: 120,
+      providerMetadata: { cohere: { billed_units: { input_tokens: 30, output_tokens: 15 } } },
+    })
+    expect(response.events.filter(LLMEvent.is.finish)).toHaveLength(1)
+  }),
+)
+
+it.effect("Cohere rejects incomplete streams", () =>
+  Effect.gen(function* () {
+    const error = yield* LLMClient.generate(
+      LLM.request({ model: cohere.model("command-a-03-2025"), prompt: "Hi" }),
+    ).pipe(Effect.provide(fixedResponse(sseEvents({ type: "message-start" }))), Effect.flip)
+    expect(error.message).toContain("without message-end")
+  }),
+)
+
+it.effect("Cohere preserves native tool plans in continued history", () =>
+  Effect.gen(function* () {
+    const response = yield* LLMClient.generate(
+      LLM.request({ model: cohere.model("command-a-03-2025"), prompt: "Hi" }),
+    ).pipe(
+      Effect.provide(
+        fixedResponse(
+          sseEvents(
+            { type: "message-start" },
+            { type: "tool-plan-delta", delta: { message: { tool_plan: "Look up the weather." } } },
+            {
+              type: "tool-call-start",
+              index: 0,
+              delta: { message: { tool_calls: { id: "lookup-1", function: { name: "lookup", arguments: "" } } } },
+            },
+            {
+              type: "tool-call-delta",
+              index: 0,
+              delta: { message: { tool_calls: { function: { arguments: '{"city":"Paris"}' } } } },
+            },
+            { type: "tool-call-end", index: 0 },
+            { type: "message-end", delta: { finish_reason: "TOOL_CALL" } },
+          ),
+        ),
+      ),
+    )
+    expect(response.toolCalls[0]?.input).toEqual({ city: "Paris" })
+    const prepared = yield* compileRequest(
+      LLM.request({
+        model: cohere.model("command-a-03-2025"),
+        messages: [response.message, Message.tool({ id: "lookup-1", name: "lookup", result: { sunny: true } })],
+      }),
+    )
+    expect(prepared.body.messages).toMatchObject([
+      { role: "assistant", tool_plan: "Look up the weather.", tool_calls: [{ id: "lookup-1" }] },
+      { role: "tool", tool_call_id: "lookup-1" },
+    ])
+  }),
+)
+
+it.effect("Cohere rejects unsupported media instead of silently dropping it", () =>
+  Effect.gen(function* () {
+    const error = yield* compileRequest(
+      LLM.request({
+        model: cohere.model("command-a-03-2025"),
+        messages: [Message.user([{ type: "media", media: Media.base64("Zm9v", "audio/wav") }])],
+      }),
+    ).pipe(Effect.flip)
+    expect(error.reason._tag).toBe("InvalidRequest")
+  }),
+)
+
+it.effect("Cohere thinking budgets must be positive integers", () =>
+  Effect.gen(function* () {
+    const error = yield* compileRequest(
+      LLM.request({
+        model: cohere.model("command-a-reasoning-08-2025"),
+        providerOptions: { thinking: { tokenBudget: 0 } },
+      }),
+    ).pipe(Effect.flip)
+    expect(error.reason._tag).toBe("InvalidRequest")
+  }),
+)
+
+it.effect("Cohere fits thinking budgets under the output limit", () =>
+  Effect.gen(function* () {
+    const prepared = yield* compileRequest(
+      LLM.request({
+        model: cohere.model("command-a-reasoning-08-2025"),
+        prompt: "Hi",
+        providerOptions: { thinking: { tokenBudget: 31_999 } },
+        generation: { maxTokens: 4096 },
+      }),
+    )
+    expect(prepared.body.thinking).toEqual({ type: "enabled", token_budget: 2048 })
+  }),
+)
+
+// Bodies captured live on 2026-10-02, except 402 and 429, which are Cohere's documented messages.
+const errors = [
+  { status: 401, message: "Incorrect API key provided: ***-123.", tag: "Authentication", retry: false },
+  { status: 404, message: "model 'no-such-model-xyz' not found", tag: "InvalidRequest", retry: false },
+  {
+    status: 400,
+    message: "invalid request: temperature must be between 0 and 2.0 inclusive.",
+    tag: "InvalidRequest",
+    retry: false,
+  },
+  {
+    status: 400,
+    error_type: "TOO_MANY_TOKENS",
+    message: "too many tokens: size limit exceeded by 168512 tokens. The limit for this model is 132000 tokens.",
+    tag: "InvalidRequest",
+    classification: "context-overflow",
+    retry: false,
+  },
+  {
+    status: 400,
+    error_type: "TOO_MANY_TOKENS",
+    message:
+      "too many tokens: max tokens must be less than or equal to 4096, the maximum output length for this model - received 1000000.",
+    tag: "InvalidRequest",
+    retry: false,
+  },
+  { status: 402, message: "Please add or update your payment method to continue", tag: "QuotaExceeded", retry: false },
+  {
+    status: 429,
+    message: "You are using a Trial key, which is limited to 40 API calls / minute.",
+    tag: "RateLimit",
+    retry: true,
+  },
+  { status: 500, message: "internal server error", tag: "ProviderInternal", retry: true },
+]
+
+it.effect("Cohere HTTP errors map to AI error reasons", () =>
+  Effect.forEach(errors, (item) =>
+    Effect.gen(function* () {
+      const error = yield* LLMClient.generate(
+        LLM.request({ model: cohere.model("command-a-03-2025"), prompt: "Hi" }),
+      ).pipe(
+        Effect.provide(
+          fixedResponse(JSON.stringify({ id: "fixture", error_type: item.error_type, message: item.message }), {
+            status: item.status,
+            headers: { "content-type": "application/json" },
+          }),
+        ),
+        Effect.flip,
+      )
+      expect({
+        message: error.message,
+        tag: error.reason._tag,
+        classification: error.reason._tag === "InvalidRequest" ? error.reason.classification : undefined,
+        retry: isRetryable(error),
+      }).toEqual({ message: item.message, tag: item.tag, classification: item.classification, retry: item.retry })
+    }),
+  ),
+)

packages/ai/test/provider/evaluation.recorded.test.ts

@@ -52,7 +52,6 @@ describe("experimental Evaluation recorded", () => {
   typesafe.effect("evaluates choice score and boolean questions", () =>
     assertEvaluation(
       TypeSafeAI.configure({ apiKey: process.env.TYPESAFE_API_KEY ?? "fixture" }).experimental.evaluation("jev-latest"),
-      "typesafe",
     ),
   )
 
@@ -61,7 +60,6 @@ describe("experimental Evaluation recorded", () => {
       OpenCodeZen.configure({ apiKey: process.env.OPENCODE_API_KEY ?? "fixture" }).experimental.evaluation(
         "jev-1.13-free",
       ),
-      "opencode",
     ),
   )
 
@@ -70,15 +68,11 @@ describe("experimental Evaluation recorded", () => {
       OpenRouter.configure({ apiKey: process.env.OPENROUTER_API_KEY ?? "fixture" }).experimental.evaluation(
         "typesafe/jev-1.13",
       ),
-      "openrouter",
     ),
   )
 })
 
-const assertEvaluation = <Options extends EvaluationOptions>(
-  model: EvaluationModel<Options>,
-  metadataKey: "typesafe" | "opencode" | "openrouter",
-) =>
+const assertEvaluation = <Options extends EvaluationOptions>(model: EvaluationModel<Options>) =>
   Effect.gen(function* () {
     const response = yield* Evaluation.run({ model, state, questions })
     expect(response.model).toContain("jev-")

packages/ai/test/provider/google-interactions.recorded.test.ts

@@ -0,0 +1,169 @@
+import { describe, expect } from "bun:test"
+import { Effect, Schema } from "effect"
+import { HttpClientRequest } from "effect/unstable/http"
+import { LLM, LLMEvent, Message } from "../../src/index.js"
+import { Google } from "../../src/providers.js"
+import { LLMClient, RequestExecutor } from "../../src/route.js"
+import { recordedTests } from "../recorded-test.js"
+import { weatherTool } from "../recorded-scenarios.js"
+
+const model = Google.configure({ apiKey: process.env.GEMINI_API_KEY ?? "fixture" }).interactions("gemini-3.8-flash")
+const recorded = recordedTests({
+  prefix: "google-interactions",
+  provider: "google",
+  protocol: "google-interactions",
+  requires: ["GEMINI_API_KEY"],
+})
+const InteractionMetadata = Schema.Struct({ interactionId: Schema.String })
+
+describe("Google Interactions recorded", () => {
+  recorded.effect("streams text and reports usage", () =>
+    Effect.gen(function* () {
+      const response = yield* LLMClient.generate(
+        LLM.request({
+          model,
+          prompt: "Reply with exactly one word: hello",
+          generation: { maxTokens: 2048 },
+          providerOptions: { thinkingLevel: "low" },
+        }),
+      )
+
+      expect(response.text.trim().toLowerCase()).toBe("hello")
+      expect(response.events.some(LLMEvent.is.textDelta)).toBe(true)
+      expect(response.finishReason.normalized).toBe("stop")
+      expect(response.events.filter(LLMEvent.is.finish)).toHaveLength(1)
+      expect(response.usage?.inputTokens).toBeGreaterThan(0)
+      expect(response.usage?.contextTokens).toBeGreaterThan(0)
+      expect(response.usage?.providerMetadata?.google).toMatchObject({ total_input_tokens: expect.any(Number) })
+    }),
+  )
+
+  recorded.effect(
+    "streams reasoning and retains thought signatures",
+    () =>
+      Effect.gen(function* () {
+        const response = yield* LLMClient.generate(
+          LLM.request({
+            model,
+            prompt:
+              "Find the smallest positive integer that leaves remainder 1 modulo 7, 2 modulo 9, and 3 modulo 11. Explain briefly.",
+            generation: { maxTokens: 4096 },
+            providerOptions: { thinkingLevel: "high", thinkingSummaries: "auto" },
+          }),
+        )
+
+        expect(response.reasoning.length).toBeGreaterThan(0)
+        expect(response.events.some(LLMEvent.is.reasoningDelta)).toBe(true)
+        expect(response.events.filter(LLMEvent.is.reasoningEnd)).toEqual(
+          expect.arrayContaining([
+            expect.objectContaining({
+              providerMetadata: { google: { interactionSignature: expect.any(String) } },
+            }),
+          ]),
+        )
+        expect(response.text.length).toBeGreaterThan(0)
+        expect(response.finishReason.normalized).toBe("stop")
+      }),
+    120_000,
+  )
+
+  recorded.effect(
+    "replays native tool results and signatures statelessly",
+    () =>
+      Effect.gen(function* () {
+        const request = LLM.request({
+          model,
+          system: "Use get_weather for weather questions. Answer concisely after receiving the result.",
+          prompt: "What is the weather in Paris?",
+          tools: [weatherTool],
+          toolChoice: { type: "tool", name: weatherTool.name },
+          generation: { maxTokens: 2048 },
+          providerOptions: { thinkingLevel: "low", thinkingSummaries: "auto" },
+        })
+        const first = yield* LLMClient.generate(request)
+
+        expect(first.toolCalls).toHaveLength(1)
+        expect(first.events.some(LLMEvent.is.toolInputDelta)).toBe(true)
+        expect(first.finishReason.normalized).toBe("tool-calls")
+        const call = first.toolCalls[0]
+        if (!call) throw new Error("Missing recorded weather tool call")
+        expect(call.name).toBe(weatherTool.name)
+        expect(call.input).toEqual({ city: "Paris" })
+        expect(call.providerMetadata?.google).toHaveProperty("interactionSignature")
+        const second = yield* LLMClient.generate(
+          LLM.request({
+            model,
+            system: request.system,
+            tools: [weatherTool],
+            toolChoice: "none",
+            generation: { maxTokens: 2048 },
+            providerOptions: { thinkingLevel: "low", thinkingSummaries: "auto" },
+            messages: [
+              ...request.messages,
+              first.message,
+              Message.tool({ id: call.id, name: call.name, result: { temperature: 22, condition: "sunny" } }),
+            ],
+          }),
+        )
+
+        expect(second.text.toLowerCase()).toContain("sunny")
+        expect(second.text).toContain("22")
+        expect(second.toolCalls).toHaveLength(0)
+        expect(second.finishReason.normalized).toBe("stop")
+      }),
+    120_000,
+  )
+
+  recorded.effect(
+    "continues tool results with previous interaction id",
+    () =>
+      Effect.gen(function* () {
+        const request = LLM.request({
+          model,
+          system: "Use get_weather for weather questions. Answer concisely after receiving the result.",
+          prompt: "What is the weather in Paris?",
+          tools: [weatherTool],
+          toolChoice: "required",
+          generation: { maxTokens: 2048 },
+          providerOptions: { thinkingLevel: "low", store: true },
+        })
+        const first = yield* LLMClient.generate(request)
+        const metadata = yield* Schema.decodeUnknownEffect(InteractionMetadata)(
+          first.events.find(LLMEvent.is.finish)?.providerMetadata?.google,
+        )
+        const executor = yield* RequestExecutor.Service
+        const cleanup = executor
+          .execute(
+            HttpClientRequest.delete(
+              `https://generativelanguage.googleapis.com/v1beta/interactions/${metadata.interactionId}`,
+            ).pipe(HttpClientRequest.setHeader("x-goog-api-key", process.env.GEMINI_API_KEY ?? "fixture")),
+          )
+          .pipe(Effect.orDie)
+
+        yield* Effect.gen(function* () {
+          expect(first.toolCalls).toHaveLength(1)
+          const call = first.toolCalls[0]
+          if (!call) throw new Error("Missing recorded weather tool call")
+          const second = yield* LLMClient.generate(
+            LLM.request({
+              model,
+              system: request.system,
+              tools: [weatherTool],
+              toolChoice: "none",
+              generation: { maxTokens: 2048 },
+              providerOptions: { thinkingLevel: "low", previousInteractionId: metadata.interactionId, store: false },
+              messages: [
+                Message.tool({ id: call.id, name: call.name, result: { temperature: 22, condition: "sunny" } }),
+              ],
+            }),
+          )
+
+          expect(second.text.toLowerCase()).toContain("sunny")
+          expect(second.text).toContain("22")
+          expect(second.toolCalls).toHaveLength(0)
+          expect(second.finishReason.normalized).toBe("stop")
+        }).pipe(Effect.ensuring(cleanup))
+      }),
+    120_000,
+  )
+})

packages/ai/test/provider/mistral-chat.test.ts

@@ -1,7 +1,7 @@
 import { describe, expect, test } from "bun:test"
 import { ConfigProvider, Effect } from "effect"
 import { HttpClientRequest } from "effect/unstable/http"
-import { LLM, LLMEvent, Message, ToolDefinition, Media } from "../../src/index.js"
+import { LLM, LLMEvent, Message, SystemPart, ToolDefinition, Media } from "../../src/index.js"
 import { Mistral } from "../../src/providers/index.js"
 import { MistralChat } from "../../src/protocols/index.js"
 import { LLMClient } from "../../src/route.js"
@@ -41,7 +41,7 @@ describe("Mistral Chat", () => {
       const prepared = yield* compileRequest(
         LLM.request({
           model,
-          system: "Initial",
+          system: [SystemPart.make("Initial\nKeep this newline."), SystemPart.make("Second instructions.")],
           messages: [
             Message.system("Updated"),
             Message.user([
@@ -105,7 +105,13 @@ describe("Mistral Chat", () => {
         reasoning_effort: "high",
       })
       expect(prepared.body.messages.slice(0, 4)).toMatchObject([
-        { role: "system", content: "Initial" },
+        {
+          role: "system",
+          content: [
+            { type: "text", text: "Initial\nKeep this newline." },
+            { type: "text", text: "Second instructions." },
+          ],
+        },
         { role: "user", content: "<system-update>\nUpdated\n</system-update>" },
         {
           role: "user",

packages/ai/test/provider/mistral.recorded.test.ts

@@ -1,7 +1,7 @@
 import { configure } from "@opencode/ai/providers/mistral"
 import { describe, expect } from "bun:test"
 import { Effect } from "effect"
-import { LLM, LLMEvent, LLMRequest, Message, ToolChoice, ToolDefinition } from "../../src/index.js"
+import { LLM, LLMEvent, LLMRequest, Message, SystemPart, ToolChoice, ToolDefinition } from "../../src/index.js"
 import { LLMClient } from "../../src/route.js"
 import { compileRequest } from "../../src/route/client.js"
 import { recordedTests } from "../recorded-test.js"
@@ -97,7 +97,10 @@ describe("Mistral recorded", () => {
         const model = configure({ apiKey, providerOptions: { reasoningEffort: "none" } }).model("mistral-small-latest")
         const firstRequest = LLM.request({
           model,
-          system: "Call lookup_weather exactly once with Paris.",
+          system: [
+            SystemPart.make("Call lookup_weather exactly once with Paris."),
+            SystemPart.make("After the tool result, describe the weather briefly."),
+          ],
           prompt: "What is the weather?",
           tools: [weather],
           toolChoice: weather,

packages/ai/test/provider/native-providers.test.ts

@@ -43,6 +43,7 @@ describe("native OpenAI-compatible providers", () => {
       [Azure.configure({ resourceName: "resource", apiKey: "test" }).responses("model"), "azure"],
       [AmazonBedrock.configure({ apiKey: "test" }).model("model"), "bedrock"],
       [AmazonBedrockMantle.configure({ apiKey: "test" }).chat("model"), "mantle"],
+      [AmazonBedrockMantle.configure({ apiKey: "test" }).messages("model"), "mantle"],
       [AmazonBedrockMantle.configure({ apiKey: "test" }).responses("model"), "mantle"],
       [Google.configure({ apiKey: "test" }).model("model"), "google"],
       [GoogleVertex.configure(vertex).model("model"), "vertex"],

packages/ai/test/provider/openai-chat-reasoning.recorded.test.ts

@@ -1,7 +1,6 @@
 import { describe, expect } from "bun:test"
 import { Effect } from "effect"
 import { LLM, LLMEvent, LLMResponse, LanguageModel } from "../../src/index.js"
-import { OpenAIChat } from "../../src/protocols/openai-chat.js"
 import * as OpenAICompatible from "../../src/providers/openai-compatible.js"
 import * as OpenRouter from "../../src/providers/openrouter.js"
 import { LLMClient } from "../../src/route.js"

packages/ai/test/provider/openai-compatible-chat.test.ts

@@ -1,4 +1,4 @@
-import { describe, expect, test } from "bun:test"
+import { describe, expect } from "bun:test"
 import { Effect, Schema } from "effect"
 import { HttpClientRequest } from "effect/unstable/http"
 import { LLM, LLMRequest, Message, ToolCallPart, ToolChoice, ToolDefinition } from "../../src/index.js"

packages/ai/test/provider/openai-responses.test.ts

@@ -3895,7 +3895,6 @@ describe("OpenAI Responses route", () => {
 
   it.effect("preserves foreign hosted images as portable image content when storage is enabled", () =>
     Effect.gen(function* () {
-      const item = { type: "image_generation_call", id: "ig_1", status: "completed", result: "AQID" }
       const prepared = yield* compileRequest(
         LLM.request({
           model: xaiModel,

packages/ai/test/recorded-scenarios.ts

@@ -127,11 +127,6 @@ const assistantContent = (events: ReadonlyArray<LLMEvent>) =>
 export const expectFinish = (events: ReadonlyArray<LLMEvent>, reason: FinishReason) =>
   expect(events.at(-1)).toMatchObject({ type: "finish", reason: { normalized: reason } })
 
-export const expectWeatherToolCall = (response: LLMResponse) =>
-  expect(response.toolCalls).toMatchObject([
-    { type: "tool-call", id: expect.any(String), name: weatherToolName, input: { city: "Paris" } },
-  ])
-
 export const expectWeatherToolLoop = (events: ReadonlyArray<LLMEvent>) => {
   const finishes = events.filter(LLMEvent.is.finish)
   expect(finishes).toHaveLength(1)

packages/ai/tsconfig.json

@@ -2,6 +2,7 @@
   "$schema": "https://json.schemastore.org/tsconfig.json",
   "extends": "@tsconfig/bun/tsconfig.json",
   "compilerOptions": {
+    "noUnusedLocals": true,
     "module": "NodeNext",
     "moduleResolution": "NodeNext",
     "allowImportingTsExtensions": false,

packages/app/component-tests/browser-pane-restore.spec.ts

@@ -1,7 +1,7 @@
-import { fileURLToPath } from "node:url"
-import { expect, story } from "../../storybook/playwright/story"
+import { expect, sourceURL, story } from "../../storybook/playwright/story"
+
+const source = (path: string) => sourceURL(new URL(path, import.meta.url))
 
-const source = (path: string) => `/@fs/${fileURLToPath(new URL(path, import.meta.url)).replaceAll("\\", "/")}`
 const modules = {
   fixture: source("../../gui-extensions/src/browser/panel.fixture.tsx"),
   host: source("../src/runtime/extension/host.tsx"),
@@ -13,49 +13,74 @@ const modules = {
   fileRenderer: source("../../gui-extensions/src/file/renderer.tsx"),
 }
 
+story.beforeEach(async ({ mount, page }) => {
+  // Any story loads the app styles; the fixture mounts the real side region and extensions beside it.
+  await mount("ui-line-comment--editor")
+  await page.evaluate(async (modules) => {
+    const [{ mountBrowserRegion }, host, panels, language, browser, file] = await Promise.all([
+      import(modules.fixture),
+      import(modules.host),
+      import(modules.panels),
+      import(modules.language),
+      import(modules.browser),
+      import(modules.file),
+    ])
+
+    mountBrowserRegion({
+      LanguageProvider: language.LanguageProvider,
+      ExtensionHostProvider: host.ExtensionHostProvider,
+      useExtensionHost: host.useExtensionHost,
+      createRegion: panels.createRegion,
+      definitions: [
+        { ...browser.default, renderer: () => import(modules.browserRenderer) },
+        { ...file.default, renderer: () => import(modules.fileRenderer) },
+      ],
+    })
+  }, modules)
+})
+
+story("keeps a restored browser tab selected and undrawn until the desktop's first inventory", async ({ page }) => {
+  const root = page.getByTestId("browser-region-fixture")
+  const tabs = root.getByRole("tab")
+  const tree = root.getByTestId("tree")
+  await expect(root.getByText("Registrations: 1", { exact: true })).toBeVisible()
+  await expect(tabs).toHaveText(["alpha.ts"])
+  await expect(tree).toHaveText('{"tab":"changes"}')
+
+  // Beta was left on its browser tab, which the desktop has not reported yet.
+  await root.getByRole("button", { name: "Beta", exact: true }).click()
+  await expect(root.getByText("Registrations: 2", { exact: true })).toBeVisible()
+  await expect(root.getByTestId("selected")).toHaveText(/^browser:tab_/)
+  await expect(tabs).toHaveText(["beta.ts"])
+  // No fallback tab was selected, so the file tab's selection never switched the tree to All files.
+  await expect(tree).toHaveText('{"tab":"changes"}')
+
+  await root.getByRole("button", { name: "First inventory", exact: true }).click()
+  await expect(tabs).toHaveText(["beta.ts", "Preview"])
+  await expect(root.getByRole("tab", { name: "Preview", exact: true })).toHaveAttribute("aria-selected", "true")
+  await expect(tree).toHaveText('{"tab":"changes"}')
+})
+
 story(
-  "keeps a restored browser tab selected and undrawn until the desktop's first inventory",
-  async ({ mount, page }) => {
-    // Any story loads the app styles; the fixture mounts the real side region and extensions beside it.
-    await mount("ui-line-comment--editor")
-    await page.evaluate(async (modules) => {
-      const [{ mountBrowserRegion }, host, panels, language, browser, file] = await Promise.all([
-        import(modules.fixture),
-        import(modules.host),
-        import(modules.panels),
-        import(modules.language),
-        import(modules.browser),
-        import(modules.file),
-      ])
-      mountBrowserRegion({
-        LanguageProvider: language.LanguageProvider,
-        ExtensionHostProvider: host.ExtensionHostProvider,
-        useExtensionHost: host.useExtensionHost,
-        createRegion: panels.createRegion,
-        definitions: [
-          { ...browser.default, renderer: () => import(modules.browserRenderer) },
-          { ...file.default, renderer: () => import(modules.fileRenderer) },
-        ],
-      })
-    }, modules)
+  "keeps the browser tabs while the pane's Ipc is away and registers them again when it returns",
+  async ({ page }) => {
     const root = page.getByTestId("browser-region-fixture")
     const tabs = root.getByRole("tab")
-    const tree = root.getByTestId("tree")
     await expect(root.getByText("Registrations: 1", { exact: true })).toBeVisible()
-    await expect(tabs).toHaveText(["alpha.ts"])
-    await expect(tree).toHaveText('{"tab":"changes"}')
-
-    // Beta was left on its browser tab, which the desktop has not reported yet.
     await root.getByRole("button", { name: "Beta", exact: true }).click()
     await expect(root.getByText("Registrations: 2", { exact: true })).toBeVisible()
-    await expect(root.getByTestId("selected")).toHaveText(/^browser:tab_/)
-    await expect(tabs).toHaveText(["beta.ts"])
-    // No fallback tab was selected, so the file tab's selection never switched the tree to All files.
-    await expect(tree).toHaveText('{"tab":"changes"}')
-
     await root.getByRole("button", { name: "First inventory", exact: true }).click()
     await expect(tabs).toHaveText(["beta.ts", "Preview"])
+
+    // The pane's main extension reloads: every binding goes with it, and the strip keeps the tab it will restore.
+    await root.getByRole("button", { name: "Pane away", exact: true }).click()
+    await expect(tabs).toHaveText(["beta.ts", "Preview"])
     await expect(root.getByRole("tab", { name: "Preview", exact: true })).toHaveAttribute("aria-selected", "true")
-    await expect(tree).toHaveText('{"tab":"changes"}')
+
+    // Both attachments register again at once, without a retry timer; Beta hands main the tab to restore.
+    await root.getByRole("button", { name: "Pane back", exact: true }).click()
+    await expect(root.getByText("Registrations: 4", { exact: true })).toBeVisible()
+    await expect(root.getByText("Beta restores: 1", { exact: true })).toBeVisible()
+    await expect(tabs).toHaveText(["beta.ts", "Preview"])
   },
 )

packages/app/component-tests/browser-pane.spec.ts

@@ -1,24 +1,25 @@
-import { fileURLToPath } from "node:url"
-import { expect, story } from "../../storybook/playwright/story"
+import { expect, sourceURL, story } from "../../storybook/playwright/story"
+
+const source = (path: string) => sourceURL(new URL(path, import.meta.url))
 
-const source = (path: string) => `/@fs/${fileURLToPath(new URL(path, import.meta.url)).replaceAll("\\", "/")}`
 const modules = {
   fixture: source("../../gui-extensions/src/browser/panel.fixture.tsx"),
-  surface: source("../src/runtime/extension/surface.tsx"),
+  embeds: source("../src/runtime/extension/embeds.tsx"),
   language: source("../src/runtime/i18n/language.tsx"),
 }
 
 story.beforeEach(async ({ mount, page }) => {
-  // Any story loads the app styles; the fixture mounts the pane beside it on the real host surface.
+  // Any story loads the app styles; the fixture mounts the pane beside it on the real host embeds.
   await mount("ui-line-comment--editor")
   await page.evaluate(async (modules) => {
-    const [{ mountBrowserPane }, { createSurfaces }, language] = await Promise.all([
+    const [{ mountBrowserPane }, { createEmbeds }, language] = await Promise.all([
       import(modules.fixture),
-      import(modules.surface),
+      import(modules.embeds),
       import(modules.language),
     ])
+
     mountBrowserPane({
-      createSurfaces,
+      createEmbeds,
       LanguageProvider: language.LanguageProvider,
       UiI18nBridge: language.UiI18nBridge,
       useLanguage: language.useLanguage,
@@ -26,6 +27,7 @@ story.beforeEach(async ({ mount, page }) => {
   }, modules)
   await expect(page.getByTestId("native-Alpha")).toHaveAttribute("data-visible", "true")
 })
+
 story("hides a native page when another takes the pane, the pane hides, or it unmounts", async ({ page }) => {
   const root = page.getByTestId("browser-pane-fixture")
   const alpha = root.getByTestId("native-Alpha")
@@ -50,11 +52,14 @@ story("hides the native view immediately while the pane stays mounted", async ({
   const root = page.getByTestId("browser-pane-fixture")
   const toggle = root.getByRole("button", { name: "Toggle Review tab", exact: true })
   await expect(toggle).toBeEnabled()
+
   // Read in the same task as the click so a deferred animation-frame hide cannot pass.
   const visible = await toggle.evaluate((element) => {
     element.dispatchEvent(new MouseEvent("click", { bubbles: true }))
+
     return document.querySelector('[data-testid="native-Alpha"]')?.getAttribute("data-visible")
   })
+
   expect(visible).toBe("false")
   await expect(root.locator("#browser-panel")).toHaveCount(1)
   await toggle.click()
@@ -87,6 +92,7 @@ story("comments on a picked element over a still of the page", async ({ page })
   await picker.click()
   await expect(picker).toHaveAttribute("aria-pressed", "true")
   await expect(root.getByText("Picker: on", { exact: true })).toBeVisible()
+  await expect(root.getByText("Session getter reads: 0", { exact: true })).toBeVisible()
   await expect(root.getByRole("status")).toHaveText(
     "Click an element in the page to comment on it. Press Escape to cancel.",
   )
@@ -95,6 +101,7 @@ story("comments on a picked element over a still of the page", async ({ page })
   await expect(picker).toHaveAttribute("aria-pressed", "false")
   const editor = root.locator('[data-slot="browser-comment-editor"] textarea')
   await expect(editor).toBeFocused()
+  await expect(root.getByText("Session getter reads: 0", { exact: true })).toBeVisible()
   await expect(root.locator('[data-slot="browser-comment-editor"]')).toContainText("button.primary")
   // The spotlight frames the picked element in surface pixels.
   await expect(root.locator('[data-slot="browser-comment-spotlight"]')).toHaveCSS("left", "48px")
@@ -108,6 +115,19 @@ story("comments on a picked element over a still of the page", async ({ page })
   await expect(root.locator('[data-component="browser-comment"]')).toHaveCount(0)
   await expect(root.getByText("Highlights: clear", { exact: true })).toBeVisible()
   await expect(root.getByTestId("native-Alpha")).toHaveAttribute("data-visible", "true")
+
+  // The pane stays mounted when Beta is routed, and its picker then listens to Beta's page.
+  await root.getByRole("button", { name: "Beta", exact: true }).click()
+  await expect(root.getByTestId("native-Beta")).toHaveAttribute("data-visible", "true")
+  await picker.click()
+  await root.getByRole("button", { name: "Pick element", exact: true }).click()
+  await expect(editor).toBeFocused()
+  await editor.fill("Beta's button too")
+  await editor.press("Enter")
+  await expect(root.getByTestId("fixture-comments").getByRole("listitem")).toHaveText([
+    "button.primary @e7: Make this the primary colour",
+    "button.primary @e7: Beta's button too",
+  ])
 })
 
 story("cancels the picker and a comment with Escape", async ({ page }) => {
@@ -129,6 +149,44 @@ story("cancels the picker and a comment with Escape", async ({ page }) => {
   await expect(root.getByTestId("native-Alpha")).toHaveAttribute("data-visible", "true")
 })
 
+story("cleans up the originating session's picker and comment after a session switch", async ({ page }) => {
+  const root = page.getByTestId("browser-pane-fixture")
+  const picker = root.getByRole("button", { name: "Select an element to comment on", exact: true })
+  await picker.click()
+  await expect(root.getByText("Picker Alpha: on", { exact: true })).toBeVisible()
+  await root.getByRole("button", { name: "Beta", exact: true }).click()
+  await expect(root.getByTestId("native-Beta")).toHaveAttribute("data-visible", "true")
+  await expect(root.getByText("Picker Alpha: off", { exact: true })).toBeVisible()
+  await expect(picker).toHaveAttribute("aria-pressed", "false")
+
+  await root.getByRole("button", { name: "Alpha", exact: true }).click()
+  await picker.click()
+  await root.getByRole("button", { name: "Pick element", exact: true }).click()
+  await expect(root.locator('[data-slot="browser-comment-editor"] textarea')).toBeFocused()
+  await root.getByRole("button", { name: "Beta", exact: true }).click()
+  await expect(root.locator('[data-component="browser-comment"]')).toHaveCount(0)
+  await expect(root.getByText("Highlights: clear", { exact: true })).toBeVisible()
+  await expect(root.getByText("Highlight owners: Alpha", { exact: true })).toBeVisible()
+})
+
+story("ends the native picker and highlight when the pane unmounts", async ({ page }) => {
+  const root = page.getByTestId("browser-pane-fixture")
+  const picker = root.getByRole("button", { name: "Select an element to comment on", exact: true })
+  await picker.click()
+  await expect(root.getByText("Picker: on", { exact: true })).toBeVisible()
+  await root.getByRole("button", { name: "Unmount pane", exact: true }).click()
+  await expect(root.locator("#browser-panel")).toHaveCount(0)
+  await expect(root.getByText("Picker: off", { exact: true })).toBeVisible()
+
+  await root.getByRole("button", { name: "Alpha", exact: true }).click()
+  await picker.click()
+  await root.getByRole("button", { name: "Pick element", exact: true }).click()
+  await expect(root.locator('[data-slot="browser-comment-editor"] textarea')).toBeFocused()
+  await root.getByRole("button", { name: "Unmount pane", exact: true }).click()
+  await expect(root.locator("#browser-panel")).toHaveCount(0)
+  await expect(root.getByText("Highlights: clear", { exact: true })).toBeVisible()
+})
+
 story("keeps a comment draft but drops its ref when the page navigates", async ({ page }) => {
   const root = page.getByTestId("browser-pane-fixture")
   await root.getByRole("button", { name: "Select an element to comment on", exact: true }).click()
@@ -157,6 +215,7 @@ story("keeps the comment editor and its actions inside the page", async ({ page
     .poll(async () => {
       const surface = await root.locator('[data-component="browser-comment"]').boundingBox()
       const box = await editor.boundingBox()
+
       return !!surface && !!box && box.y + box.height <= surface.y + surface.height
     })
     .toBe(true)
@@ -212,17 +271,22 @@ story("keeps the submitted URL visible until the browser reports navigation", as
   await expect(address).toHaveValue("https://example.com/")
 })
 
-story("restores the current URL when a submitted navigation is blocked", async ({ page }) => {
+story("restores the current URL each time the same submitted navigation is blocked", async ({ page }) => {
   const root = page.getByTestId("browser-pane-fixture")
   await root.getByRole("button", { name: "Delay navigation", exact: true }).click()
   const address = root.getByRole("textbox", { name: "Browser address", exact: true })
-  await address.fill("https://blocked.example/")
-  await address.press("Enter")
-  await expect(address).toHaveValue("https://blocked.example/")
-  await root.getByRole("button", { name: "Block navigation", exact: true }).click()
-  await expect(root.getByText("ERR_BLOCKED_BY_CLIENT", { exact: true })).toBeVisible()
-  await expect(address).toHaveValue("https://alpha.example/")
-  await expect(root.getByTestId("native-Alpha")).toHaveAttribute("data-visible", "true")
+
+  for (const submission of [1, 2]) {
+    await story.step(`blocked submission ${submission}`, async () => {
+      await address.fill("https://blocked.example/")
+      await address.press("Enter")
+      await expect(address).toHaveValue("https://blocked.example/")
+      await root.getByRole("button", { name: "Block navigation", exact: true }).click()
+      await expect(root.getByRole("alert")).toHaveText("Request failed")
+      await expect(address).toHaveValue("https://alpha.example/")
+      await expect(root.getByTestId("native-Alpha")).toHaveAttribute("data-visible", "true")
+    })
+  }
 })
 
 story("shows a themed failure state for only the failed tab and allows retry", async ({ page }) => {
@@ -280,10 +344,12 @@ story("selects the full URL when the address field gains focus", async ({ page }
   await address.focus()
   await expect(address).toHaveJSProperty("selectionStart", 0)
   await expect(address).toHaveJSProperty("selectionEnd", "https://example.com/".length)
+  // A click on the focused field places the caret instead of selecting the URL again.
   await address.press("ArrowRight")
   await address.click()
-  await expect(address).toHaveJSProperty("selectionStart", 0)
-  await expect(address).toHaveJSProperty("selectionEnd", "https://example.com/".length)
+  await expect
+    .poll(() => address.evaluate((input: HTMLInputElement) => input.selectionStart === input.selectionEnd))
+    .toBe(true)
 })
 
 story("keeps the current page visible while a submitted URL loads", async ({ page }) => {