fix(plugin): load Effect from the host for plugins

feat(desktop): move review controls into their panels (#51312 )
Co-authored-by: Luke Parker <10430890+Hona@users.noreply.github.com>
2026-10-05 15:06:16 +00:00 · 2026-10-04 23:14:49 -07:00 · 2026-10-05 03:18:48 +00:00 · 2026-10-05 03:02:36 +00:00 · 2026-10-05 12:54:06 +10:00 · 2026-10-05 12:30:44 +10:00
934 changed files with 32160 additions and 11413 deletions
@@ -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
@@ -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
@@ -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",
@@ -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:*",
@@ -355,7 +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:*",
@@ -365,7 +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:",
@@ -2167,19 +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=="],

@@ -3549,7 +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=="],

@@ -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
  ];
@@ -1,7 +1,7 @@
 {
  "nodeModules": {
-    "x86_64-linux": "sha256-EEBz2IQ14YPShAzY13zpZ7btq/EuSw86pZ6nrizc9BI=",
-    "aarch64-linux": "sha256-X7om4U4OlKL4OddEMcyKL+1DCQXc9/f1xzzopE16Zmk=",
-    "aarch64-darwin": "sha256-3bejEuX3AGv4SR/16O8KjNSO2t9WDaWCHRbBXsJ6z8A="
+    "x86_64-linux": "sha256-2RlbJRTEKSliuUbAE2lAktX63JFR/RKAuLkcCou8wb4=",
+    "aarch64-linux": "sha256-P7DAE018lTJNGmttg87U9oaTAuw/wHlnMStdnXYKCr0=",
+    "aarch64-darwin": "sha256-N+NfV1ObOTnW+ez7As+CS+6ci/iRGCQ6cslvyQFCp6E="
  }
 }
@@ -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",
@@ -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:

@@ -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",
@@ -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: {
@@ -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)
@@ -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,
 ) {
@@ -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>,
 ) {
@@ -124,7 +124,15 @@ const fromRequest = Effect.fn("CohereChat.fromRequest")(function* (request: LLMR
  const options = yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(Options))(request.providerOptions ?? {})
  const flattened = ProviderShared.flattenToolRequest(request)
  const messages: (typeof Message.Type)[] = request.system.length
-    ? [{ role: "system", content: ProviderShared.joinText(request.system) }]
+    ? [
+        {
+          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") {
@@ -244,7 +252,7 @@ const mapUsage = (usage: typeof NativeUsage.Type) =>
  })

 // Lifecycle deltas open blocks on demand and ends are no-ops for closed blocks, so content-start needs no handling.
-const step = Effect.fn("CohereChat.step")(function* (state: State, event: Event) {
+const step = Effect.fnUntraced(function* (state: State, event: Event) {
  const events: LLMEvent[] = []
  switch (event.type) {
    case "message-start":
@@ -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>,
 ) {
@@ -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
      ? [
          {
@@ -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"
@@ -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
@@ -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
@@ -2,6 +2,7 @@ export * as AnthropicMessages from "./anthropic-messages.js"
 export * as BedrockConverse from "./bedrock-converse.js"
 export * as CohereChat from "./cohere-chat.js"
 export * as Gemini from "./gemini.js"
+export * as GoogleInteractions from "./google-interactions.js"
 export * as MistralChat from "./mistral-chat.js"
 export * as OpenAIChat from "./openai-chat.js"
 export * as OpenAIImages from "./openai-images.js"
@@ -1,6 +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"
@@ -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({
@@ -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") {
@@ -360,7 +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 {
@@ -406,7 +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,
 ) {
@@ -430,7 +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,
@@ -495,7 +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,
 ) {
@@ -532,7 +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,
@@ -544,7 +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
      ? []
@@ -855,7 +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({
@@ -1214,7 +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({
@@ -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)),
@@ -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(
@@ -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
@@ -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")
@@ -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],
 ) {
@@ -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,
@@ -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) {
@@ -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
@@ -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
@@ -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
@@ -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: {
@@ -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,
@@ -0,0 +1,2 @@
+export { messagesModel as model } from "../../amazon-bedrock-mantle.js"
+export type { MessagesSettings as Settings } from "../../amazon-bedrock-mantle.js"
@@ -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
@@ -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)
@@ -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 } => {
@@ -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 {
@@ -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. */
@@ -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"

@@ -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(
@@ -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"
-      }
-    }
-  ]
-}
@@ -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"
-      }
-    }
-  ]
-}
@@ -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\"}"
-      }
-    }
-  ]
-}
@@ -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"
-      }
-    }
-  ]
-}
@@ -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"
-      }
-    }
-  ]
-}
@@ -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"
+        },
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@@ -35,14 +35,14 @@
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+      }
+    }
+  ]
+}
@@ -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"
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  "interactions": [
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@@ -15,14 +22,14 @@
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@@ -33,14 +40,14 @@
        "headers": {
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-        "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\"}"
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@@ -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",
-      "request": {
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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}"
-      },
-      "response": {
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-        "headers": {
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-    }
-  ]
-}
@@ -1,46 +0,0 @@
-{
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-    "recordedAt": "2026-05-06T01:33:29.747Z",
-    "tags": ["prefix:openai-chat", "provider:openai", "protocol:openai-chat", "tool", "tool-loop"]
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-  "interactions": [
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-      "request": {
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-        "url": "https://api.openai.com/v1/chat/completions",
-        "headers": {
-          "content-type": "application/json"
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-        "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}"
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-          "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"
-      }
-    }
-  ]
-}
@@ -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"
-      }
-    }
-  ]
-}
@@ -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"
-      }
-    }
-  ]
-}
@@ -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"
@@ -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" })),
    )
  })

@@ -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",
@@ -147,7 +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",
@@ -174,8 +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",
@@ -430,6 +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",
@@ -443,11 +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")
@@ -472,7 +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")
@@ -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"
@@ -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,
+  )
+})
@@ -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"
@@ -1,6 +1,6 @@
 import { expect } from "bun:test"
 import { Effect } from "effect"
-import { LLM, LLMEvent } from "../../src/index.js"
+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"
@@ -55,12 +55,20 @@ recorded.effect(
  () =>
    Effect.gen(function* () {
      const events = yield* runWeatherToolLoop(
-        goldenWeatherToolLoopRequest({
-          id: "cohere-tool-loop",
-          model: cohere.model("command-a-plus-05-2026"),
-          maxTokens: 2048,
-          temperature: false,
-        }),
+        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)
@@ -1,6 +1,6 @@
 import { expect, test } from "bun:test"
 import { Effect } from "effect"
-import { LLM, LLMClient, LLMEvent, Media, Message, isRetryable } from "../../src/index.js"
+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"
@@ -23,7 +23,7 @@ it.effect("Cohere lowers native history, thinking, tools, and sampling", () =>
    const prepared = yield* compileRequest(
      LLM.request({
        model: cohere.model("command-a-reasoning-08-2025"),
-        system: "Be concise.",
+        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" } }]),
@@ -44,7 +44,13 @@ it.effect("Cohere lowers native history, thinking, tools, and sampling", () =>
      thinking: { type: "enabled", token_budget: 128 },
      tool_choice: "REQUIRED",
      messages: [
-        { role: "system", content: "Be concise." },
+        {
+          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",
@@ -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-")
@@ -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,
+  )
+})
@@ -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",
@@ -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,
@@ -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"],
@@ -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"
@@ -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"
@@ -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,
@@ -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)
@@ -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,
@@ -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"])
  },
 )
@@ -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 }) => {
@@ -0,0 +1,83 @@
+import type { Definition } from "@opencode/gui-extensions/sdk"
+import { expect, sourceURL, story } from "../../storybook/playwright/story"
+
+const source = (path: string) => sourceURL(new URL(path, import.meta.url))
+
+const modules = {
+  fixture: source("./extension-host.fixture.tsx"),
+  builtins: source("../../gui-extensions/src/renderer.ts"),
+}
+
+story.beforeEach(async ({ mount }) => {
+  // Any story loads the app; the fixture mounts the real host beside it.
+  await mount("ui-line-comment--editor")
+})
+
+// The built-in renderer composition as a graph: `requires` edges must not form a cycle, and every optional (`uses`)
+// edge gets one row that boots the real host with that provider disabled. The first row disables nothing.
+story("built-ins: no requires cycle, and each consumer activates without each optional provider", async ({ page }) => {
+  const result = await page.evaluate(async (modules) => {
+    const [{ mountExtensions, until }, { builtins }] = await Promise.all([
+      import(modules.fixture),
+      import(modules.builtins),
+    ])
+
+    // The window this host serves has no OS, so OS-specific built-ins are left out as the app leaves them out.
+    const composition: readonly Definition[] = builtins
+    const definitions = composition.filter((definition) => !definition.os)
+    const ids = (tokens: Definition["provides"]) => Object.values(tokens ?? {}).map((token) => token.id)
+    const providerOf = (token: string) => definitions.find((definition) => ids(definition.provides).includes(token))?.id
+
+    const requires = new Map(
+      definitions.map((definition) => [
+        definition.id,
+        ids(definition.requires).flatMap((token) => providerOf(token) ?? []),
+      ]),
+    )
+
+    const cycles = definitions.flatMap((definition) => {
+      const walk = (id: string, path: readonly string[]): string[][] =>
+        path.includes(id)
+          ? id === definition.id
+            ? [[...path, id]]
+            : []
+          : (requires.get(id) ?? []).flatMap((next) => walk(next, [...path, id]))
+
+      return walk(definition.id, [])
+    })
+
+    // A renderer that uses the Ipc its own main entry provides depends on no other extension.
+    const edges = definitions.flatMap((consumer) =>
+      ids(consumer.uses).flatMap((token) => {
+        const provider = providerOf(token)
+
+        return provider && provider !== consumer.id ? [{ consumer: consumer.id, provider, token }] : []
+      }),
+    )
+
+    const rows = [{ consumer: "*", provider: "", token: "" }, ...edges]
+    const outcomes = []
+
+    for (const row of rows) {
+      const host = mountExtensions({ definitions, disabled: row.provider ? [row.provider] : [] })
+      host.release()
+      await until(() => host.ready())
+      const consumers = row.consumer === "*" ? definitions.map((definition) => definition.id) : [row.consumer]
+      outcomes.push({
+        ...row,
+        results: consumers.map((id) => ({ id, status: host.status(id), failure: host.failure(id)?.error ?? null })),
+      })
+      host.unmount()
+    }
+
+    return { cycles, outcomes }
+  }, modules)
+
+  expect(result.cycles).toEqual([])
+  expect(result.outcomes).toEqual(
+    result.outcomes.map((outcome) => ({
+      ...outcome,
+      results: outcome.results.map((item) => ({ id: item.id, status: "active", failure: null })),
+    })),
+  )
+})
@@ -1,21 +1,150 @@
 import { DialogProvider } from "@opencode/ui/context/dialog"
-import type { Setup } from "@opencode/gui-extensions/sdk"
-import { createSignal } from "solid-js"
+import {
+  Panel,
+  type Appearance,
+  type Build,
+  type Definition,
+  type Keybinds,
+  type Layout,
+  type Locale,
+  type MountedSession,
+  type Router,
+  type Servers,
+  type SessionScreen,
+  type Setup,
+  type Storage,
+  type StoreOptions,
+  type Workspaces,
+} from "@opencode/gui-extensions/sdk"
+import {
+  createComponent,
+  createMemo,
+  createSignal,
+  getOwner,
+  onCleanup,
+  runWithOwner,
+  Show,
+  type ParentProps,
+} from "solid-js"
+import { createStore, produce } from "solid-js/store"
+import { Schema } from "effect"
 import { render } from "solid-js/web"
-import { ExtensionHostProvider, useExtensionHost } from "../src/runtime/extension/host"
+import { PlatformProvider, type Platform } from "@/runtime/platform/platform"
+import { Persist, persisted } from "@/runtime/persistence/storage"
+import { ServerScope } from "@/runtime/server/scope"
+import { ExtensionHostProvider, useExtensionHost, type HostApiFactories } from "../src/runtime/extension/host"
+import { createHostApis } from "../src/runtime/extension/host-apis"
+import { createInstalled } from "../src/runtime/extension/installed"
+import { extensionEnabled } from "@opencode/gui-extensions/sdk/bridge"
+import { createRegion, RegionContent } from "../src/runtime/extension/panels"
+import { ExtensionSlot } from "../src/runtime/extension/render"
+import { persistedHandle } from "../src/runtime/extension/stores"
 import { LanguageProvider } from "../src/runtime/i18n/language"
+import { GuiExtensionsSettings } from "../src/runtime/extension/settings-page-dev"
+
+export { bindExtension, useExtension, Contract, createKeyed, Panel, Slot, Store } from "@opencode/gui-extensions/sdk"
+
+export { Schema }
+
+type ExtensionHost = ReturnType<typeof useExtensionHost>
+
+/** What the app interface hands the real host APIs when it mounts. */
+type Interface = Parameters<ReturnType<typeof createHostApis>["attach"]>[0]
+
+/** The host APIs a mounted fixture created, once it rendered. */
+type Captured = { apis?: ReturnType<typeof createHostApis> }
+
+/** A value the fixture's storage holds as JSON. */
+type Json = string | number | boolean | null | readonly Json[] | { readonly [key: string]: Json }
+
+export { createComponent, createMemo, createSignal, getOwner, onCleanup, runWithOwner }
+
+const layout: Layout = {
+  narrow: () => false,
+  ready: () => true,
+  open() {},
+  close() {},
+  toggle() {},
+  state: () => "closed",
+  stored: () => [],
+  side: { opened: () => false, toggle() {} },
+  sidebar: { opened: () => true },
+  dock: { opened: () => false, placement: () => "bottom" },
+  scroll: { get: () => undefined, set() {} },
+  settings() {},
+  project() {},
+}
+
+const build: Build = { version: "", channel: "dev", platform: "desktop", packaged: false }
+
+const locale: Locale = { locale: () => "en", direction: () => "ltr", setDirection() {} }
+
+const appearance: Appearance = { font: () => "monospace" }
+
+const router: Router = { routing: () => false, path: () => "/" }
+
+const keybinds: Keybinds = { keybind: () => [], keys: (bind) => bind.split("+"), matches: () => false }
+
+const servers: Servers = { list: () => [] }
+
+const workspaces: Workspaces = { on: () => () => undefined }
+
+/** Every HostApi faked at its boundary, with the given storage. */
+function fakeApis(storage: (extension: string) => Storage): HostApiFactories {
+  return {
+    build: () => build,
+    locale: () => locale,
+    appearance: () => appearance,
+    router: () => router,
+    keybinds: () => keybinds,
+    servers: () => servers,
+    workspaces: () => workspaces,
+    desktop: () => undefined,
+    sessions: () => ({ list: () => [], current: () => undefined }),
+    screen: () => ({ current: () => undefined }),
+    layout: () => layout,
+    storage,
+    system: () => ({ copy: async () => {}, save: async () => false, openExternal() {} }),
+    embeds: () => ({ View: () => null, capture: async () => undefined }),
+  }
+}
+
+/** The fake HostApis' app interface, which is always mounted: a dialog shows at once. */
+function mounted(run: () => void) {
+  run()
+
+  return () => undefined
+}
+
+/** Storage that no test of `mountExtensionHost` reads. */
+const unused = (): Storage => {
+  throw new Error("The fixture extension reads no storage")
+}
+
+/** Resolves once `check` holds, checking every frame; rejects after five seconds. */
+export async function until(check: () => boolean) {
+  const deadline = performance.now() + 5000
+
+  while (!check()) {
+    if (performance.now() > deadline) throw new Error("The fixture never reached the expected state")
+    await new Promise((resolve) => requestAnimationFrame(resolve))
+  }
+}

 /** Mounts the real extension host with one extension whose every renderer load settles when the test says so. */
 export function mountExtensionHost() {
-  const loads: PromiseWithResolvers<{ default: Setup }>[] = []
+  const loads: PromiseWithResolvers<{ default: Setup<Definition> }>[] = []
  const [disabled, setDisabled] = createSignal<ReadonlySet<string>>(new Set())
-  const state = { host: undefined as ReturnType<typeof useExtensionHost> | undefined }
+  const hosts: ExtensionHost[] = []
  const container = document.createElement("div")
  document.body.appendChild(container)
+
  function Capture() {
-    state.host = useExtensionHost()
+    hosts.push(useExtensionHost())
+
    return null
  }
+
  const dispose = render(
    () => (
      <LanguageProvider locale="en">
@@ -25,14 +154,16 @@ export function mountExtensionHost() {
              {
                id: "fixture",
                renderer: () => {
-                  const load = Promise.withResolvers<{ default: Setup }>()
+                  const load = Promise.withResolvers<{ default: Setup<Definition> }>()
                  loads.push(load)
+
                  return load.promise
                },
              },
            ]}
            disabled={disabled}
-            services={[]}
+            apis={fakeApis(unused)}
+            whenMounted={mounted}
          >
            <Capture />
          </ExtensionHostProvider>
@@ -41,22 +172,382 @@ export function mountExtensionHost() {
    ),
    container,
  )
+
  return {
    unmount: () => {
      dispose()
      container.remove()
    },
    /** Resolves the nth renderer load (the first by default) with this setup. */
-    load: (setup: Setup, index = 0) => loads[index].resolve({ default: setup }),
+    load: (setup: Setup<Definition>, index = 0) => loads[index].resolve({ default: setup }),
    /** Rejects the nth renderer load. */
-    fail: (index: number, error: unknown) => loads[index].reject(error),
+    fail: (index: number, cause: unknown) => loads[index].reject(cause),
    /** Renderer loads requested so far. */
    count: () => loads.length,
-    reload: () => state.host?.reload("fixture"),
+    reload: () => hosts[0]?.reload("fixture"),
    disable: () => setDisabled(new Set(["fixture"])),
    enable: () => setDisabled(new Set<string>()),
-    status: () => state.host?.state.status.fixture,
+    status: () => hosts[0]?.state.status.fixture,
    /** Contributions the host holds for a point; readable after the host unmounts. */
-    entries: (point: string) => state.host?.state.entries[point]?.length ?? 0,
+    entries: (point: string) => hosts[0]?.state.entries[point]?.length ?? 0,
+  }
+}
+
+/**
+ * Mounts the real host over these definitions, before any session mounts, with the HostApis faked at their
+ * boundary. Storage is the real persisted store of a desktop window whose reads wait until `release()`; `stored` seeds
+ * it. Renders the `window.bottom` slot once the startup gate opens.
+ */
+export function mountExtensions(input: {
+  definitions: readonly Definition[]
+  disabled?: readonly string[]
+  bridge?: Parameters<typeof createInstalled>[0]
+  stored?: Readonly<Record<string, Json>>
+  /** Shows the production developer settings page for status-label contracts. */
+  settings?: boolean
+}) {
+  const held = Promise.withResolvers<void>()
+  const [disabled, setDisabled] = createSignal<ReadonlySet<string>>(new Set(input.disabled ?? []))
+  const hosts: ExtensionHost[] = []
+  const container = document.createElement("div")
+  document.body.appendChild(container)
+
+  const platform: Platform = {
+    platform: "desktop",
+    windowID: "extension-host-fixture",
+    openExternal: () => undefined,
+    openDirectoryPickerDialog: async () => null,
+    restart: async () => undefined,
+    notify: async () => undefined,
+    storage: () => ({
+      getItem: async (key: string) => {
+        await held.promise
+
+        return key in (input.stored ?? {}) ? JSON.stringify(input.stored?.[key]) : null
+      },
+      setItem: async () => undefined,
+      removeItem: async () => undefined,
+    }),
+  }
+
+  const storage = (extension: string): Storage => ({
+    store<S extends Schema.ConstraintCodec<object, unknown>>(key: string, options: StoreOptions<S>) {
+      const pair = persisted(Persist.global(`extension.${extension}.${key}`), options.schema, options.initial, platform)
+
+      return persistedHandle({ store: pair[0], set: pair[1], init: pair[3].promise })
+    },
+    memory: (_key, options) => {
+      const [value, set] = createStore(options.initial)
+
+      return [value, (mutation) => set(produce(mutation))] as const
+    },
+    remove() {},
+  })
+
+  function MountedHost() {
+    const installed = input.bridge ? createInstalled(input.bridge) : undefined
+
+    const disabledState = createMemo(() => {
+      if (!installed) return disabled()
+
+      const state = installed.enableState()
+
+      if (!state) return undefined
+
+      return new Set(
+        input.definitions.flatMap((definition) => (extensionEnabled(definition, state) ? [] : [definition.id])),
+      )
+    })
+
+    return (
+      <ExtensionHostProvider
+        definitions={input.definitions}
+        disabled={disabledState}
+        apis={fakeApis(storage)}
+        whenMounted={mounted}
+      >
+        <Capture />
+      </ExtensionHostProvider>
+    )
+  }
+
+  function Capture() {
+    const host = useExtensionHost()
+    hosts.push(host)
+
+    return (
+      <Show when={host.ready()}>
+        <Show when={input.settings}>
+          <GuiExtensionsSettings />
+        </Show>
+        <ExtensionSlot at="window.bottom" input={{}} />
+      </Show>
+    )
+  }
+
+  const dispose = render(
+    () => (
+      <LanguageProvider locale="en">
+        <DialogProvider>
+          <MountedHost />
+        </DialogProvider>
+      </LanguageProvider>
+    ),
+    container,
+  )
+
+  return {
+    container,
+    unmount: () => {
+      dispose()
+      container.remove()
+    },
+    /** Lets the held storage reads answer. */
+    release: () => held.resolve(),
+    disable: (ids: readonly string[]) => setDisabled(new Set(ids)),
+    reload: (id: string) => hosts[0]?.reload(id),
+    ready: () => hosts[0]?.ready() ?? false,
+    status: (id: string) => hosts[0]?.state.status[id],
+    failure: (id: string) => hosts[0]?.state.failures[id],
+    entries: (point: string) => hosts[0]?.state.entries[point]?.length ?? 0,
+  }
+}
+
+const web: Platform = {
+  platform: "web",
+  openExternal: () => undefined,
+  restart: async () => undefined,
+  notify: async () => undefined,
+}
+
+/** A stand-in for the app interface the real host APIs attach to; each test overrides what it observes. */
+function standIn(overrides: Partial<Interface>): Interface {
+  return {
+    sessions: () => [],
+    current: () => undefined,
+    screen: () => undefined,
+    scope: () => ServerScope.local,
+    scoped: () => undefined,
+    layout: {
+      ready: () => true,
+      open() {},
+      close() {},
+      toggle() {},
+      state: () => "closed",
+      stored: () => [],
+      side: { opened: () => true, toggle() {} },
+      sidebar: { opened: () => false },
+      dock: { opened: () => false, placement: () => "bottom" },
+      scroll: { get: () => undefined, set() {} },
+    },
+    settings() {},
+    project() {},
+    font: () => "fixture mono",
+    routing: () => false,
+    path: () => "/",
+    keybind: () => [],
+    matches: () => false,
+    servers: () => ["local"],
+    ...overrides,
+  }
+}
+
+/** The real host over the real HostApis of a web window; `mounted`, when given, attaches as the app interface. */
+function RealHost(props: ParentProps<{ definitions: readonly Definition[]; captured: Captured; mounted?: Interface }>) {
+  const apis = createHostApis()
+  props.captured.apis = apis
+
+  if (props.mounted) onCleanup(apis.attach(props.mounted))
+
+  return (
+    <ExtensionHostProvider
+      definitions={props.definitions}
+      disabled={() => new Set<string>()}
+      apis={apis.apis}
+      whenMounted={apis.whenMounted}
+    >
+      {props.children}
+    </ExtensionHostProvider>
+  )
+}
+
+/**
+ * Mounts the real host and HostApis, and the parts of the session screen that render extension content for the routed
+ * session: the side region (`createRegion`, `RegionContent`) with every panel's tabs stored, and the
+ * `session.panel.end` slot, whose input the screen builds this way. `route(id)` routes a session the way the screen
+ * does: a new session object each time, delivered through the same reactive inputs, while the one screen object
+ * `ctx.screen` returns follows the route. Its composer records which session each attachment reached.
+ */
+export function mountSessionRegion(input: { definitions: readonly Definition[]; active: string }) {
+  const container = document.createElement("div")
+  document.body.appendChild(container)
+  const hosts: ExtensionHost[] = []
+  const captured: Captured = {}
+  const attached: string[] = []
+
+  const object = (id: string) => {
+    const value = { key: `fixture\n${id}`, id, tab: id, pending: false, location: { directory: "/repo" }, visit: {} }
+
+    // SAFETY: the region and slot pass the object through; the test's extension reads only `key` and `id`.
+    // oxlint-disable-next-line anti-slop/no-chained-type-assertions -- see SAFETY above
+    return value as unknown as MountedSession
+  }
+
+  const [view, setView] = createSignal(object("a"))
+  const [routed, setRouted] = createSignal(true)
+
+  const route = {
+    composer: { attach: () => void attached.push(view().id), update() {}, detach() {} },
+  }
+
+  // SAFETY: the test's extension reads only `composer.attach` of the screen.
+  // oxlint-disable-next-line anti-slop/no-chained-type-assertions -- see SAFETY above
+  const screen = route as unknown as SessionScreen
+
+  const sidebar = { opened: () => false, width: () => 0, transition: () => false, resize() {}, toggle() {} }
+
+  function Region() {
+    const host = useExtensionHost()
+    hosts.push(host)
+    // Every panel's `main` tab is stored, and `active` selected, as a strip restored after a reload.
+    const all = () => host.items(Panel).map((item) => `${item.extension}:main`)
+
+    const region = createRegion({
+      region: "side",
+      view,
+      screen,
+      tabs: () => ({
+        all,
+        active: () => input.active,
+        setAll() {},
+        setActive() {},
+        close() {},
+        remap() {},
+      }),
+    })
+
+    return (
+      <Show when={host.ready()}>
+        <ExtensionSlot
+          at="session.panel.end"
+          input={{
+            get session() {
+              return view()
+            },
+            screen,
+          }}
+        />
+        <RegionContent
+          region={region}
+          view={view()}
+          screen={screen}
+          frame={{
+            shown: () => true,
+            present: () => true,
+            placement: () => "side",
+            reserve: () => false,
+            animate: () => false,
+            sidebar,
+          }}
+        />
+      </Show>
+    )
+  }
+
+  const dispose = render(
+    () => (
+      <LanguageProvider locale="en">
+        <PlatformProvider value={web}>
+          <DialogProvider>
+            <RealHost
+              definitions={input.definitions}
+              captured={captured}
+              mounted={standIn({ current: () => (routed() ? view() : undefined), screen: () => screen })}
+            >
+              <Region />
+            </RealHost>
+          </DialogProvider>
+        </PlatformProvider>
+      </LanguageProvider>
+    ),
+    container,
+  )
+
+  return {
+    container,
+    /** Routes a session: the screen creates a new session object for it. */
+    route: (id: string) => setView(object(id)),
+    /** The route leaves while its old screen has not unmounted yet. */
+    leave: () => setRouted(false),
+    /** The session each composer attachment reached, in order. */
+    attached,
+    status: (id: string) => hosts[0]?.state.status[id],
+    unmount: () => {
+      dispose()
+      container.remove()
+    },
+  }
+}
+
+/**
+ * Mounts the real host over the real HostApis of a web window, before the app interface mounts. `attach()` mounts a
+ * stand-in for the interface: its layout records each write and reports a tab it opened as visible, its server is
+ * the local one, and its mono font is "fixture mono".
+ */
+export function mountHostApis(input: { definitions: readonly Definition[] }) {
+  const container = document.createElement("div")
+  document.body.appendChild(container)
+  const writes: string[] = []
+  const [opened, setOpened] = createSignal<readonly string[]>([])
+  const hosts: ExtensionHost[] = []
+  const captured: Captured = {}
+  const layout = standIn({}).layout
+
+  const mounted = standIn({
+    layout: {
+      ...layout,
+      open(key) {
+        writes.push(`open ${key}`)
+        setOpened((keys) => [...keys, key])
+      },
+      close: (key) => void writes.push(`close ${key}`),
+      toggle: (key) => void writes.push(`toggle ${key}`),
+      state: (key) => (opened().includes(key) ? "visible" : "closed"),
+      scroll: { get: () => undefined, set: (_session, key) => void writes.push(`scroll ${key}`) },
+    },
+    settings: (page) => void writes.push(`settings ${page}`),
+  })
+
+  function Capture() {
+    hosts.push(useExtensionHost())
+
+    return null
+  }
+
+  const dispose = render(
+    () => (
+      <LanguageProvider locale="en">
+        <PlatformProvider value={web}>
+          <DialogProvider>
+            <RealHost definitions={input.definitions} captured={captured}>
+              <Capture />
+            </RealHost>
+          </DialogProvider>
+        </PlatformProvider>
+      </LanguageProvider>
+    ),
+    container,
+  )
+
+  return {
+    /** Layout writes the interface received, in order. */
+    writes,
+    /** Mounts the interface. */
+    attach: () => void captured.apis?.attach(mounted),
+    status: (id: string) => hosts[0]?.state.status[id],
+    unmount: () => {
+      dispose()
+      container.remove()
+    },
  }
 }
@@ -15,21 +15,25 @@ export function mountTimelineVirtualizer(input: { count: number; rowHeight: numb

  function Fixture() {
    const [state, setState] = createStore({ pinned: true, ready: false })
+
    const rows = Array.from(
      { length: input.count },
      (_, index) => new TimelineRow.UserMessage({ userMessageID: `message-${index}` }),
    )
+
    const rowByKey = new Map(rows.map((row) => [TimelineRow.key(row), row]))
    const indexes = new Map(rows.map((row, index) => [row.userMessageID, index]))
    let viewport!: HTMLDivElement
    let content!: HTMLDivElement
    let container!: HTMLDivElement
+
    const timeline = createTimelineVirtualizer({
      sessionKey: () => "cold-reveal-fixture",
      projection: {
        rows: () => rows,
        rowByKey: () => rowByKey,
        activeMessageID: () => undefined,
+        messageByID: () => new Map(),
        messageRowIndex: () => indexes,
        messageLastRowIndex: () => indexes,
      },
@@ -62,6 +66,7 @@ export function mountTimelineVirtualizer(input: { count: number; rowHeight: numb
      host.dataset.observedHeight = String(entries[0].borderBoxSize[0].blockSize)
      host.dataset.viewportResizes = String(Number(host.dataset.viewportResizes) + 1)
    })
+
    const reveal = new MutationObserver(() => {
      if (content.style.visibility === "hidden" || host.dataset.firstReveal) return
      // Capture the first reveal, not a later frame after geometry has recovered.
@@ -71,11 +76,14 @@ export function mountTimelineVirtualizer(input: { count: number; rowHeight: numb
        pendingMarkdown: content.querySelectorAll('[data-component="markdown"]:not([data-markdown-ready])').length,
        viewportHeight: viewport.clientHeight,
        scrollTop: viewport.scrollTop,
-        clipped: mounted
-          .filter((element) => element.firstElementChild!.getBoundingClientRect().height > element.offsetHeight + 1)
-          .map((element) => element.dataset.timelineKey),
+        clipped: mounted.flatMap((element) =>
+          element.firstElementChild!.getBoundingClientRect().height > element.offsetHeight + 1
+            ? [element.dataset.timelineKey]
+            : [],
+        ),
      })
    })
+
    onCleanup(() => {
      resize.disconnect()
      reveal.disconnect()
@@ -1,7 +1,6 @@
-import { fileURLToPath } from "node:url"
-import { expect, story } from "../../storybook/playwright/story"
+import { expect, sourceURL, story } from "../../storybook/playwright/story"

-const fixture = `/@fs/${fileURLToPath(new URL("./timeline-virtualizer.fixture.tsx", import.meta.url)).replaceAll("\\", "/")}`
+const fixture = sourceURL(new URL("./timeline-virtualizer.fixture.tsx", import.meta.url))

 story.beforeEach(async ({ mount }) => {
  const component = await mount("opencode-composer-flow--mixed-attachments")
@@ -1,7 +1,6 @@
 import { expect, test } from "@playwright/test"
 import {
  defineVisualRegions,
-  mapVisualRegions,
  reportVisualStability,
  startVisualProbe,
  stopVisualProbe,
@@ -242,7 +242,7 @@ test("keeps an older answer selected while scrolling within the interaction buff

 test("tracks keyboard scrolling from a focused timeline descendant", async ({ page }, testInfo) => {
  const shellID = "prt_descendant_keyboard_01_shell"
-  const timeline = await setupTimeline(page, {
+  await setupTimeline(page, {
    messages: [...history(12), userMessage(), assistantMessage([shell(shellID, "completed", lines(5))])],
    settings: { shellToolPartsExpanded: false },
    cpuRate: 4,
@@ -15,7 +15,6 @@ import {
  partUpdated,
  renderedPartID,
  setupTimeline,
-  shell,
  status,
  textPart,
  toolPart,
Author	SHA1	Message	Date
Kit Langton	9f06708d0e	fix(plugin): load Effect from the host for plugins	2026-10-04 23:14:49 -07:00
usrnk1andLuke Parker	e86ec98711	feat(desktop): move review controls into their panels (#51312 ) Co-authored-by: Luke Parker <10430890+Hona@users.noreply.github.com>	2026-10-05 03:18:48 +00:00
Luke Parker	c542a43503	fix(cli): indent every row of the pairing QR code on Windows (#53265 )	2026-10-05 03:02:36 +00:00
Luke Parker	2db9c2e1b3	fix(app): match TUI inbox, steer, queue, and revert behavior (#53076 )	2026-10-05 12:54:06 +10:00
Luke Parker	3a861ff8b0	feat(app): show running subagents and shells in the session header (#53247 )	2026-10-05 12:30:44 +10:00
Aiden Cline	22803892bc	feat(ai): support Anthropic Messages on Bedrock Mantle (#53073 )	2026-10-04 20:51:33 -05:00
Aiden Cline	69ba898a7b	perf(ai): lazily parse partial JSON on tool-input-delta (#53255 )	2026-10-04 20:41:46 -05:00
opencode-agent[bot]andrekram1-node	375ff827aa	feat(tui): show read ranges after file paths (#53250 ) Co-authored-by: rekram1-node <rekram1-node@users.noreply.github.com>	2026-10-04 20:14:48 -05:00
Luke Parker	ed747091e9	fix(gui-extensions): hold agent previews for sessions that are not on screen (#53249 )	2026-10-05 00:56:05 +00:00
Aiden Cline	44193bd71f	refactor(ai): untrace stream event handlers and inner protocol helpers (#53232 )	2026-10-04 19:43:29 -05:00
Aiden Cline	238d4cf5ca	refactor(ai): simplify sseFraming and untrace inner request-lowering helpers (#53072 )	2026-10-04 16:27:06 -05:00
Kit Langton	3e77d5c170	fix(client): preserve service on protocol-only reconnect mismatch (#50825 )	2026-10-04 13:30:43 -07:00
Kit Langton	eaf80d99e5	chore(app): clear lint warnings in GUI files touched by the Effect upgrade (#53098 )	2026-10-04 12:04:16 -07:00
opencode-agent[bot]	0a46301e36	chore(core): refresh bundled models.dev snapshot	2026-10-04 13:59:27 +00:00
Shoubhit Dash	c789aa16d1	refactor(ai): remove unused test code (#53126 )	2026-10-04 17:07:07 +05:30
Shoubhit Dash	a515e3bf4b	refactor(ai): delete unregistered recording cassettes (#53127 )	2026-10-04 17:06:42 +05:30
Shoubhit Dash	8380c864bf	feat(plugin): add select dialog search and actions (#53009 )	2026-10-04 16:10:27 +05:30
Shoubhit Dash	247eb5cc9a	fix(tui): allow plugin keymaps during setup (#53010 )	2026-10-04 15:46:34 +05:30
Luke Parker	ecfa884ff8	feat(session-ui): show model variant in message meta (#53112 )	2026-10-04 08:21:24 +00:00
Luke Parker	0d536d2d7d	fix(gui-extensions): avoid startup round trip and keep renamed enable state (#53077 )	2026-10-04 17:40:36 +10:00
Luke Parker	715de7af15	fix(gui-extensions): fix stale details, browser cleanup, update checks and panel state (#53075 )	2026-10-04 17:21:04 +10:00
Luke Parker	077444b94b	fix(app): keep side panel tabs when a session moves (#53081 )	2026-10-04 16:59:52 +10:00
Luke Parker	5589ca43f1	refactor(gui-extensions): tighten the SDK surface (#53078 )	2026-10-04 16:59:43 +10:00
Luke Parker	453dd2ad01	fix(app): load Windows-path markdown images (#53100 )	2026-10-04 06:49:36 +00:00
Luke Parker	44579a5d98	test(app): mock session wait and parse e2e mock payloads (#53095 )	2026-10-04 16:32:34 +10:00
Luke Parker	f8cafd8362	fix(app): stop the browser address bar looking bold when selected (#53087 )	2026-10-04 16:23:08 +10:00
Kit Langton	9155b7b791	fix(app): load component-test modules at the URLs Vite imports them by (#53091 )	2026-10-04 16:06:48 +10:00
Kit Langton	9c66a0acb0	refactor(tui): remove unused plugin theme registration (#52992 )	2026-10-03 21:50:55 -07:00
Kit Langton	ee730bdd91	refactor(tui): remove unused V1 syntax theme generation (#52987 )	2026-10-03 21:43:07 -07:00
Kit Langton	cfbdefa041	refactor(tui): trim unused package exports (#52988 )	2026-10-03 21:43:03 -07:00
Kit Langton	2884b49f8f	refactor(tui): remove permanently disabled unshare command (#53003 )	2026-10-03 21:34:00 -07:00
Kit Langton	b79da2697a	refactor(tui): drop unused ComposerTab.onClose and composer re-export (#53002 )	2026-10-03 21:33:55 -07:00
Kit Langton	552d2b9c8a	refactor(tui): drop never-passed component props (#53001 )	2026-10-03 21:33:51 -07:00
Kit Langton	0d98734fb2	refactor(tui): share mini requestOptions helper (#53000 )	2026-10-03 21:33:47 -07:00
Kit Langton	5ac5027cce	refactor(tui): remove unused mini thinking override (#52999 )	2026-10-03 21:33:42 -07:00
Kit Langton	4cb7ac9dab	refactor(tui): drop constant mini frontend exit code (#52998 )	2026-10-03 21:33:37 -07:00
Kit Langton	bc499e4562	refactor(tui): remove unused monoTruncateMiddle (#52997 )	2026-10-03 21:33:33 -07:00
Kit Langton	fa373ddb51	refactor(tui): share clamp between tab pulse and fade-in text (#52996 )	2026-10-03 21:33:28 -07:00
Kit Langton	2a02be02a7	refactor(tui): remove unused TabPulse outerFlashTail prop (#52995 )	2026-10-03 21:33:23 -07:00
Kit Langton	fc224dc8f0	refactor(tui): remove unused DialogSelect details and category view options (#52994 )	2026-10-03 21:33:18 -07:00
Kit Langton	eec8cf912e	refactor(tui): remove unused Prompt hint, right, and showPlaceholder props (#52993 )	2026-10-03 21:33:13 -07:00
Kit Langton	86f9edc107	refactor(tui): remove unread terminal environment fields (#52991 )	2026-10-03 21:33:08 -07:00
Kit Langton	5d6804eaac	refactor(tui): remove unused v1 config aliases and keybind values (#52990 )	2026-10-03 21:33:03 -07:00
Kit Langton	697ca1c9d3	refactor(tui): drop unused theme re-exports (#52986 )	2026-10-03 21:32:58 -07:00
Kit Langton	1287996a91	refactor(tui): drop stale terminal-win32 export (#52985 )	2026-10-03 21:32:54 -07:00
Kit Langton	a30f24355e	refactor(tui): share file change status label (#53004 )	2026-10-03 23:50:25 -04:00
Jérôme Benoit	96ecd60bdb	fix(nix): provide desktop signing tools on darwin (#53007 )	2026-10-03 22:33:12 -05:00
Aiden Cline	15c4e5d537	feat(ai): add Google Interactions protocol (#52981 )	2026-10-03 22:22:58 -05:00
Aiden Cline	5617044dc9	refactor(ai): avoid redundant request body validation (#52909 )	2026-10-03 22:22:15 -05:00
Luke Parker	0048c97c27	feat(gui-extensions): add typed composition and lifetime primitives (#52868 )	2026-10-04 13:16:37 +10:00
opencode-agent[bot]andHona	f72a103a4b	fix(windows): hide background subprocess windows (#52871 ) Co-authored-by: Hona <10430890+Hona@users.noreply.github.com>	2026-10-04 11:20:47 +10:00
opencode-agent[bot]	f74512bfe0	chore: update nix node_modules hashes	2026-10-03 23:05:19 +00:00
opencode-agent[bot]andneriousy	63b7de9434	fix(cli): restore Linux x64 musl PTY lock entry (#53035 ) Co-authored-by: neriousy <34747899+neriousy@users.noreply.github.com>	2026-10-04 00:55:38 +02:00
Filip	e8c75c2de0	fix(cli): run the curl installer with Git Bash on Windows (#53029 )	2026-10-04 00:29:09 +02:00
opencode-agent[bot]	d1f8f5b35e	chore: update nix node_modules hashes	2026-10-03 18:57:44 +00:00
Kit Langton	334f7a3510	fix(core): keep the first PTY output after spawn (#52960 )	2026-10-03 11:51:01 -07:00
opencode-agent[bot]	f02e184ba4	chore: update nix node_modules hashes	2026-10-03 14:32:42 +00:00
James Long	5ad0786536	fix(core): never let persistent PTY handoff break a server restart (#52573 )	2026-10-03 10:23:31 -04:00
opencode-agent[bot]	d8a3962923	chore(core): refresh bundled models.dev snapshot	2026-10-03 13:46:03 +00:00
Simon Klee	40679546d4	fix(tui): keep transcript rows stable when history is prepended (#52824 ) Session rows have no id, so reconcile matched them by position. Each page of older history shifted every row into a different store object and remounted the visible transcript. Newly mounted markdown is blank until highlighting finishes, so the transcript blinked once per page. This was most visible with Low verbosity, where opening a session loads several pages to complete the oldest group.	2026-10-03 06:09:37 +00:00
Daniel Chen	12810e84d3	docs(www): add Fledge Alpha Free to Console models (#52896 )	2026-10-02 21:59:24 -07:00
Aiden Cline	3e1aa1e58c	fix(server): return 404 when a location folder is missing (#52668 )	2026-10-02 23:43:56 -05:00
Aiden Cline	7ced9326e6	fix(ai): preserve Mistral and Cohere system parts (#52890 )	2026-10-02 23:36:36 -05:00
Aiden Cline	d1ff6f90cf	fix(ai): preserve Gemini system text parts (#52888 )	2026-10-02 23:04:49 -05:00
James Long	d9d094a543	fix(tui): keep question form highlights on the raised surface (#52872 )	2026-10-02 20:34:12 -04:00
Kit Langton	d113a40f55	fix(core): rename legacy provider in top-level model (#51901 )	2026-10-02 16:02:13 -07:00
Kit Langton	54956aac22	chore: enable noUnusedLocals in ai and core (#52858 )	2026-10-02 22:45:27 +00:00
Kit Langton	c1536734ce	chore(cli): enable noUnusedLocals (#52857 )	2026-10-02 22:45:05 +00:00
Kit Langton	cf7fcfad0a	chore(app): enable noUnusedLocals (#52856 )	2026-10-02 22:44:02 +00:00
Kit Langton	17955a1100	refactor(core): remove duplicate v1 config migration (#51889 )	2026-10-02 15:40:41 -07:00
Kit Langton	c0c9c69a27	chore(tui): enable noUnusedLocals (#52851 )	2026-10-02 22:36:03 +00:00
Kit Langton	eb1a9ea4d9	chore: enable noUnusedLocals in schema, server, sdk and smaller packages (#52850 )	2026-10-02 15:23:59 -07:00
Kit Langton	680bca3183	chore: enable noUnusedLocals in already-clean packages (#52849 )	2026-10-02 15:23:50 -07:00
Kit Langton	22f81eed0b	test(tui): drop title shimmer animation timing tests (#52848 )	2026-10-02 15:23:31 -07:00
Aiden Cline	421a04f5fd	fix(core): retry transient MCP connect failures (#52614 )	2026-10-02 17:22:25 -05:00