refactor(ai): reuse shared OpenRouter Responses implementation

refactor(ai): share OpenRouter Responses protocol
feat(ai): route OpenRouter models through native APIs
2026-10-26 18:34:42 +08:00 · 2026-09-30 11:31:02 -05:00 · 2026-09-30 11:31:01 -05:00 · 2026-09-30 11:31:01 -05:00 · 2026-09-30 11:13:34 -05:00 · 2026-09-30 11:42:23 -04:00
281 changed files with 8482 additions and 1884 deletions
@@ -662,7 +662,7 @@ jobs:
    needs:
      - version
      - publish
-    if: github.repository == 'anomalyco/opencode' && github.ref_name == 'v2' && needs.version.outputs.release && needs.publish.result == 'success'
+    if: ${{ !cancelled() && github.repository == 'anomalyco/opencode' && github.ref_name == 'v2' && needs.version.outputs.release && needs.publish.result == 'success' }}
    runs-on: blacksmith-4vcpu-ubuntu-2404
    steps:
      # Unlike dev, V2 publishes a tag rather than a GitHub Release event.
@@ -32,7 +32,7 @@
    },
    "packages/ai": {
      "name": "@opencode/ai",
-      "version": "2.0.19",
+      "version": "2.0.20",
      "dependencies": {
        "@aws-sdk/credential-providers": "3.1057.0",
        "@opencode/schema": "workspace:*",
@@ -54,7 +54,7 @@
    },
    "packages/app": {
      "name": "@opencode/app",
-      "version": "2.0.19",
+      "version": "2.0.20",
      "dependencies": {
        "@corvu/drawer": "catalog:",
        "@dnd-kit/abstract": "0.5.0",
@@ -112,7 +112,7 @@
    },
    "packages/cli": {
      "name": "@opencode/cli",
-      "version": "2.0.19",
+      "version": "2.0.20",
      "bin": {
        "opencode": "./bin/opencode.cjs",
        "opencode2": "./bin/opencode2.cjs",
@@ -178,7 +178,7 @@
    },
    "packages/client": {
      "name": "@opencode/client",
-      "version": "2.0.19",
+      "version": "2.0.20",
      "dependencies": {
        "@opencode/protocol": "workspace:*",
        "@opencode/schema": "workspace:*",
@@ -204,7 +204,7 @@
    },
    "packages/codemode": {
      "name": "@opencode/codemode",
-      "version": "2.0.19",
+      "version": "2.0.20",
      "dependencies": {
        "acorn": "8.15.0",
        "effect": "catalog:",
@@ -217,7 +217,7 @@
    },
    "packages/console/app": {
      "name": "@opencode/console-app",
-      "version": "2.0.19",
+      "version": "2.0.20",
      "dependencies": {
        "@cloudflare/vite-plugin": "1.15.2",
        "@ibm/plex": "6.4.1",
@@ -253,7 +253,7 @@
    },
    "packages/console/core": {
      "name": "@opencode/console-core",
-      "version": "2.0.19",
+      "version": "2.0.20",
      "dependencies": {
        "@aws-sdk/client-sts": "3.782.0",
        "@jsx-email/render": "1.1.1",
@@ -280,7 +280,7 @@
    },
    "packages/console/function": {
      "name": "@opencode/console-function",
-      "version": "2.0.19",
+      "version": "2.0.20",
      "dependencies": {
        "@openauthjs/openauth": "0.0.0-20250322224806",
        "@opencode/console-core": "workspace:*",
@@ -297,7 +297,7 @@
    },
    "packages/console/mail": {
      "name": "@opencode/console-mail",
-      "version": "2.0.19",
+      "version": "2.0.20",
      "dependencies": {
        "@jsx-email/all": "2.2.3",
        "@jsx-email/cli": "1.4.3",
@@ -321,7 +321,7 @@
    },
    "packages/console/support": {
      "name": "@opencode/console-support",
-      "version": "2.0.19",
+      "version": "2.0.20",
      "dependencies": {
        "@cloudflare/vite-plugin": "1.15.2",
        "@opencode/console-core": "workspace:*",
@@ -341,7 +341,7 @@
    },
    "packages/core": {
      "name": "@opencode/core",
-      "version": "2.0.19",
+      "version": "2.0.20",
      "dependencies": {
        "@ai-sdk/cohere": "3.0.27",
        "@ai-sdk/gateway": "3.0.104",
@@ -377,6 +377,7 @@
        "https-proxy-agent": "7.0.6",
        "ignore": "7.0.5",
        "immer": "11.1.4",
+        "jose": "6.0.11",
        "jsonc-parser": "3.3.1",
        "mime-types": "3.0.2",
        "tree-sitter-bash": "0.25.0",
@@ -409,7 +410,7 @@
    },
    "packages/desktop": {
      "name": "@opencode/desktop",
-      "version": "2.0.19",
+      "version": "2.0.20",
      "dependencies": {
        "@zip.js/zip.js": "2.7.62",
        "electron-context-menu": "5.0.0",
@@ -458,7 +459,7 @@
    },
    "packages/enterprise": {
      "name": "@opencode/enterprise",
-      "version": "2.0.19",
+      "version": "2.0.20",
      "dependencies": {
        "@hono/standard-validator": "catalog:",
        "@opencode-ai/sdk": "1.18.21",
@@ -495,7 +496,7 @@
    },
    "packages/function": {
      "name": "@opencode/function",
-      "version": "2.0.19",
+      "version": "2.0.20",
      "dependencies": {
        "@octokit/auth-app": "8.0.1",
        "@octokit/rest": "catalog:",
@@ -511,7 +512,7 @@
    },
    "packages/http-recorder": {
      "name": "@opencode/http-recorder",
-      "version": "2.0.19",
+      "version": "2.0.20",
      "dependencies": {
        "@effect/platform-node-shared": "4.0.0-rc.112",
      },
@@ -530,7 +531,7 @@
    },
    "packages/httpapi-codegen": {
      "name": "@opencode/httpapi-codegen",
-      "version": "2.0.19",
+      "version": "2.0.20",
      "dependencies": {
        "effect": "catalog:",
        "prettier": "3.6.2",
@@ -543,7 +544,7 @@
    },
    "packages/latex": {
      "name": "@opencode/latex",
-      "version": "2.0.19",
+      "version": "2.0.20",
      "dependencies": {
        "@opencode/plugin": "workspace:*",
        "@opentui/core": "catalog:",
@@ -557,7 +558,7 @@
    },
    "packages/merman": {
      "name": "@opencode/merman",
-      "version": "2.0.19",
+      "version": "2.0.20",
      "dependencies": {
        "@opencode/plugin": "workspace:*",
        "@opentui/core": "catalog:",
@@ -572,7 +573,7 @@
    },
    "packages/plugin": {
      "name": "@opencode/plugin",
-      "version": "2.0.19",
+      "version": "2.0.20",
      "dependencies": {
        "@ai-sdk/provider": "3.0.8",
        "@opencode/ai": "workspace:*",
@@ -598,8 +599,8 @@
      },
      "peerDependencies": {
        "@opencode/theme": "workspace:*",
-        "@opentui/core": ">=0.5.12",
-        "@opentui/solid": ">=0.5.12",
+        "@opentui/core": ">=0.5.14",
+        "@opentui/solid": ">=0.5.14",
        "solid-js": ">=1.9.0",
      },
      "optionalPeers": [
@@ -611,7 +612,7 @@
    },
    "packages/plugin-browser": {
      "name": "@opencode/plugin-browser",
-      "version": "2.0.19",
+      "version": "2.0.20",
      "dependencies": {
        "@opencode/plugin": "workspace:*",
        "@opencode/schema": "workspace:*",
@@ -641,7 +642,7 @@
    },
    "packages/protocol": {
      "name": "@opencode/protocol",
-      "version": "2.0.19",
+      "version": "2.0.20",
      "dependencies": {
        "@opencode/schema": "workspace:*",
        "effect": "catalog:",
@@ -656,7 +657,7 @@
    },
    "packages/schema": {
      "name": "@opencode/schema",
-      "version": "2.0.19",
+      "version": "2.0.20",
      "dependencies": {
        "@standard-schema/spec": "catalog:",
        "effect": "catalog:",
@@ -680,7 +681,7 @@
    },
    "packages/sdk": {
      "name": "@opencode/sdk",
-      "version": "2.0.19",
+      "version": "2.0.20",
      "dependencies": {
        "@opencode/client": "workspace:*",
        "@opencode/core": "workspace:*",
@@ -701,7 +702,7 @@
    },
    "packages/server": {
      "name": "@opencode/server",
-      "version": "2.0.19",
+      "version": "2.0.20",
      "dependencies": {
        "@effect/platform-node": "catalog:",
        "@effect/platform-node-shared": "catalog:",
@@ -723,7 +724,7 @@
    },
    "packages/session-ui": {
      "name": "@opencode/session-ui",
-      "version": "2.0.19",
+      "version": "2.0.20",
      "dependencies": {
        "@kobalte/core": "catalog:",
        "@opencode/client": "workspace:*",
@@ -758,7 +759,7 @@
    },
    "packages/simulation": {
      "name": "@opencode/simulation",
-      "version": "2.0.19",
+      "version": "2.0.20",
      "dependencies": {
        "@opencode/ai": "workspace:*",
        "@opencode/core": "workspace:*",
@@ -778,7 +779,7 @@
    },
    "packages/stats/app": {
      "name": "@opencode/stats-app",
-      "version": "2.0.19",
+      "version": "2.0.20",
      "dependencies": {
        "@ibm/plex": "6.4.1",
        "@kobalte/core": "catalog:",
@@ -812,7 +813,7 @@
    },
    "packages/stats/core": {
      "name": "@opencode/stats-core",
-      "version": "2.0.19",
+      "version": "2.0.20",
      "dependencies": {
        "@aws-sdk/client-athena": "3.933.0",
        "@planetscale/database": "1.19.0",
@@ -831,7 +832,7 @@
    },
    "packages/stats/server": {
      "name": "@opencode/stats-server",
-      "version": "2.0.19",
+      "version": "2.0.20",
      "dependencies": {
        "@aws-sdk/client-firehose": "3.933.0",
        "@effect/platform-node": "catalog:",
@@ -877,7 +878,7 @@
    },
    "packages/theme": {
      "name": "@opencode/theme",
-      "version": "2.0.19",
+      "version": "2.0.20",
      "dependencies": {
        "@opentui/core": "catalog:",
        "effect": "catalog:",
@@ -891,7 +892,7 @@
    },
    "packages/tui": {
      "name": "@opencode/tui",
-      "version": "2.0.19",
+      "version": "2.0.20",
      "dependencies": {
        "@opencode/client": "workspace:*",
        "@opencode/core": "workspace:*",
@@ -925,7 +926,7 @@
    },
    "packages/ui": {
      "name": "@opencode/ui",
-      "version": "2.0.19",
+      "version": "2.0.20",
      "dependencies": {
        "@kobalte/core": "catalog:",
        "@pierre/diffs": "catalog:",
@@ -960,7 +961,7 @@
    },
    "packages/util": {
      "name": "@opencode/util",
-      "version": "2.0.19",
+      "version": "2.0.20",
      "dependencies": {
        "@effect/opentelemetry": "catalog:",
        "@effect/platform-node": "catalog:",
@@ -998,7 +999,7 @@
    },
    "packages/web": {
      "name": "@opencode/web",
-      "version": "2.0.19",
+      "version": "2.0.20",
      "dependencies": {
        "@astrojs/cloudflare": "12.6.3",
        "@astrojs/markdown-remark": "6.3.1",
@@ -1039,7 +1040,7 @@
    },
    "services/update": {
      "name": "@opencode/update",
-      "version": "2.0.19",
+      "version": "2.0.20",
      "dependencies": {
        "jose": "6.0.11",
        "semver": "catalog:",
@@ -1116,9 +1117,9 @@
    "@npmcli/arborist": "9.4.0",
    "@octokit/rest": "22.0.0",
    "@openauthjs/openauth": "0.0.0-20250322224806",
-    "@opentui/core": "0.5.12",
-    "@opentui/keymap": "0.5.12",
-    "@opentui/solid": "0.5.12",
+    "@opentui/core": "0.5.14",
+    "@opentui/keymap": "0.5.14",
+    "@opentui/solid": "0.5.14",
    "@pierre/diffs": "1.5.1",
    "@playwright/test": "1.59.1",
    "@sentry/solid": "10.71.0",
@@ -2254,27 +2255,27 @@

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+    "@opentui/solid": ["@opentui/solid@0.5.14", "", { "dependencies": { "@babel/core": "7.28.0", "@babel/preset-typescript": "7.27.1", "@opentui/core": "0.5.14", "babel-plugin-module-resolver": "5.0.2", "babel-preset-solid": "1.9.12", "entities": "7.0.1", "s-js": "^0.4.9" }, "peerDependencies": { "solid-js": "1.9.12" } }, "sha512-bBRl34mZ0wFGhjHX6y1VNiZmJ3DSm2DVPm0PNSVDpvq9qxRHuywEPTCn/Lgte0C9450tgf11cDqcE3pR9cZwVA=="],

    "@oslojs/asn1": ["@oslojs/asn1@1.0.0", "", { "dependencies": { "@oslojs/binary": "1.0.0" } }, "sha512-zw/wn0sj0j0QKbIXfIlnEcTviaCzYOY3V5rAyjR6YtOByFtJiT574+8p9Wlach0lZH9fddD4yb9laEAIl4vXQA=="],

@@ -2,7 +2,7 @@
  "$schema": "https://json.schemastore.org/package.json",
  "name": "opencode",
  "description": "AI-powered development tool",
-  "version": "2.0.19",
+  "version": "2.0.20",
  "private": true,
  "type": "module",
  "packageManager": "bun@1.4.2",
@@ -52,9 +52,9 @@
      "@octokit/rest": "22.0.0",
      "@hono/standard-validator": "0.2.0",
      "@hono/zod-validator": "0.4.2",
-      "@opentui/core": "0.5.12",
-      "@opentui/keymap": "0.5.12",
-      "@opentui/solid": "0.5.12",
+      "@opentui/core": "0.5.14",
+      "@opentui/keymap": "0.5.14",
+      "@opentui/solid": "0.5.14",
      "@tanstack/solid-virtual": "3.13.37",
      "@shikijs/stream": "4.4.3",
      "@standard-schema/spec": "1.1.0",
@@ -1203,12 +1203,22 @@ LLM.request({
 | ----------------------- | ------------------------------------------------------------------------- |
 | Anthropic Messages      | emits up to 4 `cache_control` markers (4-breakpoint cap enforced)         |
 | Bedrock Converse        | emits up to 4 `cachePoint` blocks (4-breakpoint cap enforced)             |
-| OpenRouter              | emits up to 4 `cache_control` markers                                     |
+| OpenRouter              | Anthropic/Qwen emit explicit markers; other families use upstream caching |
 | OpenAI Chat / Responses | no-op (implicit caching above 1024 tokens)                                |
 | Gemini                  | no-op (implicit caching on 2.5+; explicit `CachedContent` is out-of-band) |

 Normalized cache usage is read back into `response.usage.cacheReadInputTokens` and `cacheWriteInputTokens` across every provider.

+OpenRouter selects its wire API by model family: `openai/*`, `x-ai/*`, and `meta/*` use Responses; `anthropic/*` uses
+Anthropic Messages; other families use Chat Completions. All three Responses families share the existing OpenAI-shaped
+Responses implementation, including namespace tools and hosted-tool events; there are no per-vendor OpenRouter
+protocols. Leading-`~` model aliases follow the same routing. Explicit `openrouter.chat(id)`, `.responses(id)`, and
+`.messages(id)` selectors are available for API-specific integrations.
+Qwen retains Chat's explicit system/conversation cache markers, while Claude uses native Messages cache blocks.
+OpenRouter Responses is stateless (`store: false`); every request includes full history, not `previous_response_id`.
+Meta currently accepts only automatic tool selection on both its Chat and Responses upstreams; forced/disabled tool
+choices can be rejected by the provider.
+
 ## Providers

 Provider facades configure endpoint/auth/deployment details first, then expose model selectors that take only a model or deployment id. The selected model carries the executable route value used at runtime.
@@ -1,6 +1,6 @@
 {
  "$schema": "https://json.schemastore.org/package.json",
-  "version": "2.0.19",
+  "version": "2.0.20",
  "name": "@opencode/ai",
  "type": "module",
  "license": "MIT",
@@ -38,13 +38,31 @@ const resolve = (policy: CachePolicy | undefined): CachePolicyObject => {
 // prefix caching, Gemini's implicit + out-of-band CachedContent). Skip the
 // whole policy pass for these — emitting hints would be harmless but pointless.
 const RESPECTS_INLINE_HINTS = new Set([
+  "alibaba-messages",
  "anthropic-messages",
  "anthropic-compatible-messages",
+  "cloudflare-ai-gateway-messages",
  "google-vertex-messages",
+  "meta-messages",
+  "minimax-messages",
+  "moonshot-messages",
+  "zai-coding-messages",
  "bedrock-converse",
  "openrouter",
+  "openrouter-messages",
 ])

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

@@ -150,9 +168,11 @@ const countHints = (request: LLMRequest) =>

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

  const hint = makeHint(policy.ttlSeconds)
@@ -10,14 +10,19 @@ const WebSearch = Schema.Struct({
  name: Schema.Literal("web_search"),
  user_location: MetaResponses.WebSearch.fields.user_location,
 })
+const MetaCacheControl = Schema.Struct({
+  type: Schema.tag("ephemeral"),
+  ttl: Schema.optional(Schema.Literals(["5m", "1h"])),
+})
+const FunctionTool = Schema.Struct({
+  name: Schema.String,
+  description: Schema.String,
+  input_schema: JsonObject,
+  cache_control: Schema.optional(MetaCacheControl),
+})
 const Body = Schema.Struct({
  ...AnthropicMessages.AnthropicMessagesBody.fields,
-  tools: optionalArray(
-    Schema.Union([
-      Schema.Struct({ name: Schema.String, description: Schema.String, input_schema: JsonObject }),
-      WebSearch,
-    ]),
-  ),
+  tools: optionalArray(Schema.Union([FunctionTool, WebSearch])),
 })

 const fromRequest = Effect.fn("MetaMessages.fromRequest")(function* (request: LLMRequest) {
@@ -426,6 +426,7 @@ interface ActiveContent {
  readonly type: "text" | "reasoning"
  readonly id: string
  readonly thinking?: MistralThinkingContent
+  readonly thinkingUnits?: MistralThinkingUnit[]
 }

 export interface ParserState {
@@ -502,8 +503,8 @@ const closeActive = (state: ParserState, events: LLMEvent[]) => {
          state.lifecycle,
          events,
          state.active.id,
-          thinkingMetadata(state.active.thinking ?? { type: "thinking", thinking: [] }),
-          thinkingText(state.active.thinking?.thinking ?? []),
+          thinkingMetadata({ ...state.active.thinking, type: "thinking", thinking: state.active.thinkingUnits ?? [] }),
+          thinkingText(state.active.thinkingUnits ?? []),
        )
  return { ...state, lifecycle, active: undefined }
 }
@@ -524,20 +525,23 @@ const appendThinking = (state: ParserState, events: LLMEvent[], part: MistralOut
  const current = state.active?.type === "reasoning" ? state : closeActive(state, events)
  const units = thinkingUnits(part.thinking)
  const active = current.active ?? { type: "reasoning" as const, id: `reasoning-${current.nextContent}` }
+  // Keep native units out of streamed events until the block is complete.
+  const accumulated = active.thinkingUnits ?? []
+  accumulated.push(...units)
  const thinking = {
    ...active.thinking,
    ...part,
    type: "thinking" as const,
-    thinking: [...(active.thinking?.thinking ?? []), ...units],
+    thinking: [],
  }
  const text = thinkingText(units)
  return {
    ...current,
    lifecycle:
      text.length > 0
-        ? Lifecycle.reasoningDelta(current.lifecycle, events, active.id, text, thinkingMetadata(thinking))
-        : Lifecycle.reasoningStart(current.lifecycle, events, active.id, thinkingMetadata(thinking)),
-    active: { ...active, thinking },
+        ? Lifecycle.reasoningDelta(current.lifecycle, events, active.id, text)
+        : Lifecycle.reasoningStart(current.lifecycle, events, active.id),
+    active: { ...active, thinking, thinkingUnits: accumulated },
    nextContent: current.active ? current.nextContent : current.nextContent + 1,
  }
 }
@@ -163,7 +163,7 @@ export const CompactionItem = Schema.Struct({
  encrypted_content: Schema.String,
 })

-// Kept out of the baseline `InputItem` union: only the OpenAI extension accepts it.
+// Kept out of the baseline `InputItem` union; extensions such as OpenAI and OpenRouter opt in.
 export const ConfigurationUpdate = Schema.Struct({
  type: Schema.Literal("configuration_update"),
  reasoning: Schema.Struct({ effort: OpenResponsesOptions.ReasoningEffort }),
@@ -298,18 +298,22 @@ const OpenResponsesBody = Schema.Struct({
 })
 export type OpenResponsesBody = Schema.Schema.Type<typeof OpenResponsesBody>

-export const OpenResponsesUsage = Schema.Struct({
-  input_tokens: Schema.optional(Schema.Number),
-  input_tokens_details: optionalNull(
-    Schema.Struct({
-      cached_tokens: Schema.optional(Schema.Number),
-      cache_write_tokens: Schema.optional(Schema.Number),
-    }),
-  ),
-  output_tokens: Schema.optional(Schema.Number),
-  output_tokens_details: optionalNull(Schema.Struct({ reasoning_tokens: Schema.optional(Schema.Number) })),
-  total_tokens: Schema.optional(Schema.Number),
-})
+// Retain gateway billing extensions in provider metadata without changing normalized token accounting.
+export const OpenResponsesUsage = Schema.StructWithRest(
+  Schema.Struct({
+    input_tokens: Schema.optional(Schema.Number),
+    input_tokens_details: optionalNull(
+      Schema.Struct({
+        cached_tokens: Schema.optional(Schema.Number),
+        cache_write_tokens: Schema.optional(Schema.Number),
+      }),
+    ),
+    output_tokens: Schema.optional(Schema.Number),
+    output_tokens_details: optionalNull(Schema.Struct({ reasoning_tokens: Schema.optional(Schema.Number) })),
+    total_tokens: Schema.optional(Schema.Number),
+  }),
+  [Schema.Record(Schema.String, Schema.Unknown)],
+)
 type OpenResponsesUsage = Schema.Schema.Type<typeof OpenResponsesUsage>

 // The spec requires `id` on every output item, but some gateways drop it from
@@ -20,7 +20,6 @@ import {
  type LLMRequest,
  type MediaPart,
  type ReasoningPart,
-  type TextPart,
  type ToolCallPart,
  type ToolDefinition,
 } from "../schema/index.js"
@@ -45,6 +44,7 @@ const OpenAIChatCacheControl = Schema.Struct({
  type: Schema.Literal("ephemeral"),
  ttl: Schema.optional(Schema.String),
 })
+type OpenAIChatCacheControl = Schema.Schema.Type<typeof OpenAIChatCacheControl>

 const OpenAIChatFunction = Schema.Struct({
  name: Schema.String,
@@ -121,12 +121,15 @@ const decodeReasoningDetail = Schema.decodeUnknownOption(ReasoningDetail)
 const knownReasoningDetails = (details: ReadonlyArray<unknown>) =>
  details.flatMap((detail) => Option.toArray(decodeReasoningDetail(detail)))

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

 const OpenAIChatMessage = Schema.Union([
  Schema.Struct({
@@ -149,21 +153,19 @@ const OpenAIChatMessage = Schema.Union([
  Schema.StructWithRest(
    Schema.Struct({
      role: Schema.Literal("assistant"),
-      content: Schema.NullOr(Schema.String),
+      content: Schema.NullOr(Schema.Union([Schema.String, Schema.Array(OpenAIChatTextContent)])),
      tool_calls: optionalArray(OpenAIChatAssistantToolCall),
      reasoning_content: Schema.optional(Schema.String),
      reasoning: Schema.optional(Schema.String),
      reasoning_text: Schema.optional(Schema.String),
      reasoning_details: Schema.optional(Schema.Unknown),
-      cache_control: Schema.optional(OpenAIChatCacheControl),
    }),
    [Schema.Record(Schema.String, Schema.Unknown)],
  ),
  Schema.Struct({
    role: Schema.Literal("tool"),
    tool_call_id: Schema.String,
-    content: Schema.String,
-    cache_control: Schema.optional(OpenAIChatCacheControl),
+    content: Schema.Union([Schema.String, Schema.Array(OpenAIChatTextContent)]),
  }),
 ]).pipe(Schema.toTaggedUnion("role"))
 type OpenAIChatMessage = Schema.Schema.Type<typeof OpenAIChatMessage>
@@ -327,9 +329,7 @@ export interface ParserState {
 // OpenAI Chat wire format. Keep provider quirks here instead of leaking native
 // fields into `LLMRequest`.
 interface LoweringOptions {
-  readonly cacheControl?: (
-    cache: CacheHint | undefined,
-  ) => Schema.Schema.Type<typeof OpenAIChatCacheControl> | undefined
+  readonly cacheControl?: (cache: CacheHint | undefined) => OpenAIChatCacheControl | undefined
  readonly toolCallID?: (id: string) => string
 }

@@ -415,7 +415,7 @@ const lowerUserMessage = Effect.fn("OpenAIChat.lowerUserMessage")(function* (
  message: OpenAIChatRequestMessage,
  options: LoweringOptions,
 ) {
-  const content: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []
+  const content: OpenAIChatUserContent[] = []
  for (const part of message.content) {
    if (part.type === "text") {
      content.push({ type: "text", text: part.text, cache_control: options.cacheControl?.(part.cache) })
@@ -441,14 +441,14 @@ const lowerAssistantMessage = Effect.fn("OpenAIChat.lowerAssistantMessage")(func
  requireReasoning: boolean,
  options: LoweringOptions & { readonly providerMetadataKey: string },
 ) {
-  const content: TextPart[] = []
+  const content: OpenAIChatTextContent[] = []
  const reasoning: ReasoningPart[] = []
  const toolCalls: OpenAIChatAssistantToolCall[] = []
  for (const part of message.content) {
    if (!ProviderShared.supportsContent(part, ["text", "reasoning", "tool-call"]))
      return yield* ProviderShared.unsupportedContent("OpenAI Chat", "assistant", ["text", "reasoning", "tool-call"])
    if (part.type === "text") {
-      content.push(part)
+      content.push({ type: "text", text: part.text, cache_control: options.cacheControl?.(part.cache) })
      continue
    }
    if (part.type === "reasoning") {
@@ -486,14 +486,15 @@ const lowerAssistantMessage = Effect.fn("OpenAIChat.lowerAssistantMessage")(func
    if (reasoning.length === 0) return nativeReasoning ?? (requireReasoning ? "" : undefined)
    return text
  })()
-  const cached = message.content.findLast((part) => "cache" in part && part.cache !== undefined)
-  const cacheControl = options.cacheControl?.(cached && "cache" in cached ? cached.cache : undefined)
  const result = {
    role: "assistant" as const,
-    content: content.length > 0 ? content.map((part) => part.text).join("") : toolCalls.length > 0 ? null : "",
+    content: (() => {
+      if (content.some((part) => part.cache_control !== undefined)) return content
+      if (content.length === 0 && toolCalls.length > 0) return null
+      return content.map((part) => part.text).join("")
+    })(),
    ...(toolCalls.length > 0 ? { tool_calls: toolCalls } : {}),
    ...(details !== undefined ? { reasoning_details: details } : {}),
-    ...(cacheControl !== undefined ? { cache_control: cacheControl } : {}),
  }
  if (field === undefined || reasoningText === undefined) return result
  return { ...result, [field]: reasoningText }
@@ -504,33 +505,38 @@ const lowerToolMessages = Effect.fn("OpenAIChat.lowerToolMessages")(function* (
  options: LoweringOptions,
 ) {
  const messages: OpenAIChatMessage[] = []
-  const attachments: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []
+  const attachments: OpenAIChatUserContent[] = []
  for (const part of message.content) {
    if (!ProviderShared.supportsContent(part, ["tool-result"]))
      return yield* ProviderShared.unsupportedContent("OpenAI Chat", "tool", ["tool-result"])
    if (part.result.type !== "content") {
-      messages.push({
-        role: "tool",
-        tool_call_id: options.toolCallID?.(part.id) ?? part.id,
-        content: ProviderShared.toolResultText(part),
-        cache_control: options.cacheControl?.(part.cache),
-      })
+      messages.push(
+        toolMessage(
+          options.toolCallID?.(part.id) ?? part.id,
+          ProviderShared.toolResultText(part),
+          options.cacheControl?.(part.cache),
+        ),
+      )
      continue
    }
    const content: ReadonlyArray<Tool.Content> = part.result.value
    const text = content.filter((item) => item.type === "text").map((item) => item.text)
-    messages.push({
-      role: "tool",
-      tool_call_id: options.toolCallID?.(part.id) ?? part.id,
-      content: text.join("\n"),
-      cache_control: options.cacheControl?.(part.cache),
-    })
+    messages.push(
+      toolMessage(options.toolCallID?.(part.id) ?? part.id, text.join("\n"), options.cacheControl?.(part.cache)),
+    )
    const files = content.filter((item) => item.type === "file")
    attachments.push(...(yield* Effect.forEach(files, (item) => lowerMedia(ProviderShared.toolFileMedia(item)))))
  }
  return { messages, attachments }
 })

+// Chat cache breakpoints belong on text content parts, not on the message itself.
+const toolMessage = (toolCallID: string, text: string, cacheControl: OpenAIChatCacheControl | undefined) => ({
+  role: "tool" as const,
+  tool_call_id: toolCallID,
+  content: cacheControl === undefined ? text : [{ type: "text" as const, text, cache_control: cacheControl }],
+})
+
 const lowerMessage = Effect.fn("OpenAIChat.lowerMessage")(function* (
  message: OpenAIChatRequestMessage,
  reasoningField: string | undefined,
@@ -589,7 +595,7 @@ const lowerMessages = Effect.fn("OpenAIChat.lowerMessages")(function* (request:
    if (requireAssistantAfterTool && messages.at(-1)?.role === "tool")
      messages.push({ role: "assistant", content: "Done." })
  }
-  const pendingAttachments: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []
+  const pendingAttachments: OpenAIChatUserContent[] = []
  const flushAttachments = () => {
    if (pendingAttachments.length === 0) return
    bridgeTools()
@@ -599,24 +605,25 @@ const lowerMessages = Effect.fn("OpenAIChat.lowerMessages")(function* (request:
    if (message.role === "user") bridgeTools()
    if (message.role === "system") {
      const part = yield* ProviderShared.wrappedSystemUpdate("OpenAI Chat", message)
+      const cacheControl = options.cacheControl?.(part.cache)
      if (pendingAttachments.length > 0) {
        messages.push({
          role: "user",
          content: [
            ...pendingAttachments.splice(0),
-            { type: "text", text: part.text, cache_control: options.cacheControl?.(part.cache) },
+            { type: "text", text: part.text, cache_control: cacheControl },
          ],
        })
        continue
      }
      const previous = messages.at(-1)
      if (previous?.role === "user" && typeof previous.content === "string")
-        messages[messages.length - 1] = options.cacheControl?.(part.cache)
+        messages[messages.length - 1] = cacheControl
          ? {
              role: "user",
              content: [
                { type: "text", text: previous.content },
-                { type: "text", text: part.text, cache_control: options.cacheControl(part.cache) },
+                { type: "text", text: part.text, cache_control: cacheControl },
              ],
            }
          : { role: "user", content: `${previous.content}\n${part.text}` }
@@ -625,15 +632,15 @@ const lowerMessages = Effect.fn("OpenAIChat.lowerMessages")(function* (request:
          role: "user",
          content: [
            ...previous.content,
-            { type: "text", text: part.text, cache_control: options.cacheControl?.(part.cache) },
+            { type: "text", text: part.text, cache_control: cacheControl },
          ],
        }
      else
        messages.push(
-          options.cacheControl?.(part.cache)
+          cacheControl
            ? {
                role: "user",
-                content: [{ type: "text", text: part.text, cache_control: options.cacheControl(part.cache) }],
+                content: [{ type: "text", text: part.text, cache_control: cacheControl }],
              }
            : { role: "user", content: part.text },
        )
@@ -124,7 +124,7 @@ const OpenAIResponsesCoreFields = {
  ),
 }

-const OpenAIResponsesBody = Schema.Struct({
+export const OpenAIResponsesBody = Schema.Struct({
  ...OpenAIResponsesCoreFields,
  stream: Schema.Literal(true),
 })
@@ -0,0 +1,179 @@
+export * as OpenRouterWire from "./openrouter.js"
+
+import { Option, Schema } from "effect"
+import { LLMRequest, Message, type ContentPart, type ReasoningPart } from "../../schema/index.js"
+import type { OpenAIResponses } from "../openai-responses.js"
+import { isRecord, ProviderShared } from "../shared.js"
+
+const ReplayDetail = Schema.Struct({
+  type: Schema.String,
+  text: Schema.optional(Schema.String),
+  signature: Schema.optional(Schema.NullOr(Schema.String)),
+  data: Schema.optional(Schema.String),
+  encrypted: Schema.optional(Schema.String),
+})
+const decodeReplayDetail = Schema.decodeUnknownOption(ReplayDetail)
+
+// OpenRouter's generic Responses API supports chronological effort updates only on eligible models.
+export function supportsEffortUpdates(request: LLMRequest) {
+  if (request.providerOptions?.contextManagement !== undefined) return false
+  if (request.providerOptions?.truncation === "auto" || request.http?.body?.truncation === "auto") return false
+  if (Schema.is(Schema.Struct({ mode: Schema.Literal("pro") }))(request.providerOptions?.reasoning)) return false
+  if (Schema.is(Schema.Struct({ mode: Schema.Literal("pro") }))(request.http?.body?.reasoning)) return false
+  return (
+    request.model.compatibility?.supportsEffortUpdates ??
+    /^~?openai\/(?:gpt-6-(?:astra|sol|luna)|gpt-6\.1-sol)$/i.test(request.model.id)
+  )
+}
+
+export function nativeRequest(request: LLMRequest, format: "responses" | "messages") {
+  const options = request.providerOptions ?? {}
+  const reasoning = isRecord(options.reasoning)
+    ? fitReasoning(options.reasoning, request.generation?.maxTokens)
+    : undefined
+  const disabled = reasoning?.enabled === false || reasoning?.effort === "none"
+  return LLMRequest.update(request, {
+    providerOptions:
+      format === "responses"
+        ? {
+            ...options,
+            reasoningEffort:
+              options.reasoningEffort ?? (typeof reasoning?.effort === "string" ? reasoning.effort : undefined),
+          }
+        : {
+            ...options,
+            effort:
+              options.effort ?? (typeof reasoning?.effort === "string" && !disabled ? reasoning.effort : undefined),
+            thinking:
+              options.thinking ??
+              (() => {
+                if (disabled) return { type: "disabled" }
+                if (typeof reasoning?.max_tokens === "number")
+                  return { type: "enabled", budget_tokens: reasoning.max_tokens }
+                if (reasoning?.enabled === true || typeof reasoning?.effort === "string")
+                  return { type: "adaptive", ...(reasoning.exclude === true ? { display: "omitted" } : {}) }
+              })(),
+          },
+    messages: request.messages.map((message) => {
+      if (
+        !message.content.some(
+          (part) => part.type === "reasoning" && part.providerMetadata?.openrouter?.reasoningDetails !== undefined,
+        )
+      )
+        return message
+      return Message.make({
+        ...message,
+        // Chat stores signatures in reasoning_details; native APIs require individual signed blocks/items.
+        content: message.content.flatMap<ContentPart>((part) => {
+          if (part.type !== "reasoning") return [part]
+          const details = part.providerMetadata?.openrouter?.reasoningDetails
+          if (!Array.isArray(details)) return [part]
+          const replay = details.flatMap((detail) => Option.toArray(decodeReplayDetail(detail)))
+          if (format === "responses") {
+            const encrypted = replay.find(
+              (detail) => detail.type === "reasoning.encrypted" || detail.type === "encrypted",
+            )
+            return [
+              {
+                ...part,
+                providerMetadata: {
+                  ...part.providerMetadata,
+                  openrouter: {
+                    ...part.providerMetadata?.openrouter,
+                    reasoningEncryptedContent:
+                      part.providerMetadata?.openrouter?.reasoningEncryptedContent ??
+                      encrypted?.data ??
+                      encrypted?.encrypted,
+                  },
+                },
+              },
+            ]
+          }
+          const blocks = replay.flatMap<ReasoningPart>((detail) => {
+            const metadata = (() => {
+              if (detail.type === "reasoning.text" && detail.signature) return { signature: detail.signature }
+              if (detail.type === "reasoning.encrypted" && detail.data) return { redactedData: detail.data }
+            })()
+            if (!metadata) return []
+            return [
+              {
+                ...part,
+                text: metadata.signature ? (detail.text ?? part.text) : "",
+                providerMetadata: {
+                  ...part.providerMetadata,
+                  openrouter: { ...part.providerMetadata?.openrouter, ...metadata },
+                },
+              },
+            ]
+          })
+          return blocks.length > 0 ? blocks : [part]
+        }),
+      })
+    }),
+  })
+}
+
+export function responsesOptions(request: LLMRequest, body: OpenAIResponses.OpenAIResponsesBody) {
+  const { usage: _, ...options } = bodyOptions(request.providerOptions, request.generation?.maxTokens)
+  return {
+    ...options,
+    ...body,
+    store: false as const,
+    // Native lowering may freeze effort at the history baseline; keep it instead of the current effort.
+    ...(options.reasoning || body.reasoning
+      ? {
+          reasoning: {
+            ...options.reasoning,
+            ...body.reasoning,
+            effort: body.reasoning?.effort,
+            summary:
+              body.reasoning?.summary ??
+              (typeof options.reasoning?.summary === "string" ? options.reasoning.summary : undefined),
+          },
+        }
+      : {}),
+    ...(options.text || body.text ? { text: { ...options.text, ...body.text } } : {}),
+  }
+}
+
+export const bodyOptions = (input: unknown, maxTokens: number | undefined) => {
+  const openrouter = isRecord(input) ? input : {}
+  const {
+    usage,
+    models,
+    provider,
+    plugins,
+    web_search_options,
+    debug,
+    user,
+    reasoning,
+    text,
+    promptCacheKey,
+    ...options
+  } = openrouter
+  return {
+    ...options,
+    ...(usage === undefined || usage === true
+      ? { usage: { include: true } }
+      : usage === false
+        ? { usage: { include: false } }
+        : isRecord(usage)
+          ? { usage }
+          : {}),
+    ...(Array.isArray(models) ? { models } : {}),
+    ...(isRecord(provider) ? { provider } : {}),
+    ...(Array.isArray(plugins) ? { plugins } : {}),
+    ...(isRecord(web_search_options) ? { web_search_options } : {}),
+    ...(isRecord(debug) ? { debug } : {}),
+    ...(typeof user === "string" ? { user } : {}),
+    ...(isRecord(reasoning) ? { reasoning: fitReasoning(reasoning, maxTokens) } : {}),
+    ...(isRecord(text) ? { text } : {}),
+  }
+}
+
+// Anthropic and Alibaba require the thinking budget to remain below the output limit.
+function fitReasoning(reasoning: Record<string, unknown>, maxTokens: number | undefined) {
+  return typeof reasoning.max_tokens === "number"
+    ? { ...reasoning, max_tokens: ProviderShared.fitThinkingBudget(reasoning.max_tokens, maxTokens, 1_024) }
+    : reasoning
+}
@@ -16,9 +16,13 @@ import {
 const patterns = [
  /prompt is too long/i,
  /input is too long for requested model/i,
+  // Cloudflare Workers AI reports this as HTTP 413.
+  /exceeded this model context window limit/i,
  /exceeds the context window/i,
  /exceeds (?:the )?(?:model'?s )?maximum context length(?: of [\d,]+ tokens?|\s*\([\d,]+\))/i,
  /input token count.*exceeds the maximum/i,
+  // Amazon Nova on Bedrock reports this as a mid-stream validationException.
+  /number of input tokens exceeds maximum length/i,
  /tokens in request more than max tokens allowed/i,
  /maximum prompt length is \d+/i,
  /reduce the length of the messages/i,
@@ -7,8 +7,12 @@ import { HttpOptions, ProviderID, type CacheHint, type ModelID, type OpenString
 import type { ProviderPackage } from "../provider-package.js"
 import { SystemOne } from "../experimental/system-one.js"
 import { OpenAIChat } from "../protocols/openai-chat.js"
+import { OpenAIResponses } from "../protocols/openai-responses.js"
+import { AnthropicMessages } from "../protocols/anthropic-messages.js"
+import { Framing } from "../route/framing.js"
+import { JsonObject } from "../protocols/shared.js"
 import { newBreakpoints, ttlBucket } from "../protocols/utils/cache.js"
-import { isRecord, ProviderShared } from "../protocols/shared.js"
+import { OpenRouterWire } from "../protocols/utils/openrouter.js"

 export const id = ProviderID.make("openrouter")
 const baseURL = "https://openrouter.ai/api/v1"
@@ -54,6 +58,7 @@ export interface OpenRouterOptions {
  readonly plugins?: ReadonlyArray<OpenRouterPlugin>
  readonly provider?: OpenRouterProviderRouting
  readonly reasoning?: Readonly<{
+    [key: string]: unknown
    enabled?: boolean
    exclude?: boolean
    effort?: OpenString<"none" | "minimal" | "low" | "medium" | "high" | "xhigh" | "max">
@@ -95,6 +100,18 @@ const OpenRouterBody = Schema.StructWithRest(Schema.Struct(OpenAIChat.bodyFields
 ])
 export type OpenRouterBody = Schema.Schema.Type<typeof OpenRouterBody>

+const OpenRouterResponsesBody = Schema.StructWithRest(
+  Schema.Struct({
+    ...OpenAIResponses.OpenAIResponsesBody.fields,
+    store: Schema.Literal(false),
+    reasoning: Schema.optional(JsonObject),
+    text: Schema.optional(JsonObject),
+  }),
+  [JsonObject],
+)
+const OpenRouterMessagesBody = Schema.StructWithRest(AnthropicMessages.AnthropicMessagesBody, [JsonObject])
+type OpenRouterMessagesBody = Schema.Schema.Type<typeof OpenRouterMessagesBody>
+
 export const protocol = Protocol.make({
  id: "openrouter-chat",
  body: {
@@ -123,7 +140,7 @@ export const protocol = Protocol.make({
          return {
            ...body,
            messages,
-            ...bodyOptions(request.providerOptions, request.generation?.maxTokens),
+            ...OpenRouterWire.bodyOptions(request.providerOptions, request.generation?.maxTokens),
          } as OpenRouterBody
        }),
      ),
@@ -131,6 +148,37 @@ export const protocol = Protocol.make({
  stream: OpenAIChat.protocol.stream,
 })

+const responsesProtocol = Protocol.make({
+  ...OpenAIResponses.protocol,
+  id: "openrouter-responses",
+  supportsEffortUpdates: OpenRouterWire.supportsEffortUpdates,
+  body: {
+    schema: OpenRouterResponsesBody,
+    from: (request) =>
+      OpenAIResponses.protocol.body
+        .from(OpenRouterWire.nativeRequest(request, "responses"))
+        .pipe(Effect.map((body) => OpenRouterWire.responsesOptions(request, body))),
+  },
+})
+const messagesProtocol = Protocol.make({
+  ...AnthropicMessages.protocol,
+  id: "openrouter-messages",
+  body: {
+    schema: OpenRouterMessagesBody,
+    from: (request) =>
+      AnthropicMessages.protocol.body.from(OpenRouterWire.nativeRequest(request, "messages")).pipe(
+        Effect.map((body) => {
+          const {
+            reasoning: _,
+            usage: _usage,
+            ...options
+          } = OpenRouterWire.bodyOptions(request.providerOptions, body.max_tokens)
+          return { ...options, ...body }
+        }),
+      ),
+  },
+})
+
 const cacheControl = () => {
  const breakpoints = newBreakpoints(4)
  return (cache: CacheHint | undefined) => {
@@ -143,36 +191,6 @@ const cacheControl = () => {
  }
 }

-// OpenRouter forwards `reasoning.max_tokens` as the upstream thinking budget. Upstreams such as Anthropic and Alibaba
-// reject one that is not below the output limit; 1,024 is Anthropic's minimum budget.
-const fitReasoning = (reasoning: Record<string, unknown>, maxTokens: number | undefined) =>
-  typeof reasoning.max_tokens === "number"
-    ? { ...reasoning, max_tokens: ProviderShared.fitThinkingBudget(reasoning.max_tokens, maxTokens, 1_024) }
-    : reasoning
-
-const bodyOptions = (input: unknown, maxTokens: number | undefined) => {
-  const openrouter = isRecord(input) ? input : {}
-  const { usage, models, provider, plugins, web_search_options, debug, user, reasoning, promptCacheKey, ...options } =
-    openrouter
-  return {
-    ...options,
-    ...(usage === undefined || usage === true
-      ? { usage: { include: true } }
-      : usage === false
-        ? { usage: { include: false } }
-        : isRecord(usage)
-          ? { usage }
-          : {}),
-    ...(Array.isArray(models) ? { models } : {}),
-    ...(isRecord(provider) ? { provider } : {}),
-    ...(Array.isArray(plugins) ? { plugins } : {}),
-    ...(isRecord(web_search_options) ? { web_search_options } : {}),
-    ...(isRecord(debug) ? { debug } : {}),
-    ...(typeof user === "string" ? { user } : {}),
-    ...(isRecord(reasoning) ? { reasoning: fitReasoning(reasoning, maxTokens) } : {}),
-  }
-}
-
 export const route = Route.make({
  id: ADAPTER,
  provider: id,
@@ -182,19 +200,45 @@ export const route = Route.make({
  framing: OpenAIChat.framing,
 })

-export const routes = [route]
+const responsesRoute = Route.make({
+  id: "openrouter-responses",
+  provider: id,
+  providerMetadataKey: "openrouter",
+  protocol: responsesProtocol,
+  endpoint: Endpoint.path("/responses", { baseURL }),
+  framing: Framing.sse,
+  defaults: { providerOptions: { store: false, include: ["reasoning.encrypted_content"] } },
+})
+const messagesRoute = Route.make({
+  id: "openrouter-messages",
+  provider: id,
+  providerMetadataKey: "openrouter",
+  protocol: messagesProtocol,
+  endpoint: Endpoint.path("/messages", { baseURL }),
+  transport: AnthropicMessages.transport<OpenRouterMessagesBody>(),
+})

-const configuredRoute = (input: LanguageModelOptions) => {
+export const routes = [route, responsesRoute, messagesRoute]
+
+const routeOptions = (input: LanguageModelOptions) => {
  const { apiKey: _, auth: _auth, baseURL: endpoint, ...rest } = input
-  return route.with({
+  return {
    ...rest,
    endpoint: { baseURL: endpoint ?? baseURL },
    auth: AuthOptions.bearer(input, "OPENROUTER_API_KEY"),
-  })
+  }
 }

 export const configure = (input: LanguageModelOptions = {}) => {
-  const route = configuredRoute(input)
+  const options = routeOptions(input)
+  const chatRoute = route.with(options)
+  const openResponses = responsesRoute.with(options)
+  const anthropicMessages = messagesRoute.with(options)
+  const chat = (modelID: string | ModelID) =>
+    chatRoute.model<OpenRouterProviderOptionsInput>({ id: modelID, compatibility: { supportsPromptCacheKey: true } })
+  const responses = (modelID: string | ModelID) => openResponses.model<OpenRouterProviderOptionsInput>({ id: modelID })
+  const messages = (modelID: string | ModelID) =>
+    anthropicMessages.model<OpenRouterProviderOptionsInput>({ id: modelID })
  const evaluation = (modelID: string | ModelID) =>
    SystemOne.model<OpenRouterEvaluationOptions>({
      id: modelID,
@@ -207,14 +251,24 @@ export const configure = (input: LanguageModelOptions = {}) => {
    })
  return {
    id,
-    model: (modelID: string | ModelID) =>
-      route.model<OpenRouterProviderOptionsInput>({ id: modelID, compatibility: { supportsPromptCacheKey: true } }),
+    model: (modelID: string | ModelID) => {
+      const model = String(modelID).replace(/^~/, "")
+      if (model.startsWith("anthropic/")) return messages(modelID)
+      if (["openai/", "x-ai/", "meta/"].some((prefix) => model.startsWith(prefix))) return responses(modelID)
+      return chat(modelID)
+    },
+    chat,
+    responses,
+    messages,
    experimental: { evaluation },
    configure,
  }
 }

 export const provider = configure()
+export const chat = provider.chat
+export const responses = provider.responses
+export const messages = provider.messages
 export const experimental = provider.experimental
 export const model: ProviderPackage.Definition<Settings, OpenRouterProviderOptionsInput>["model"] = (
  modelID,
@@ -227,3 +281,5 @@ export const model: ProviderPackage.Definition<Settings, OpenRouterProviderOptio
    http: body === undefined ? undefined : { body: { ...body } },
    providerOptions,
  }).model(modelID)
+
+export * as OpenRouter from "./openrouter.js"
@@ -3,7 +3,17 @@ import { Effect } from "effect"
 import { CacheHint, LLM, Message } from "../src/index.js"
 import { Auth } from "../src/route.js"
 import { compileRequest } from "../src/route/client.js"
-import { AmazonBedrock, AnthropicCompatible, GoogleVertexMessages } from "../src/providers.js"
+import {
+  Alibaba,
+  AmazonBedrock,
+  AnthropicCompatible,
+  CloudflareAIGateway,
+  GoogleVertexMessages,
+  Meta,
+  MiniMax,
+  Moonshot,
+  ZAICodingPlan,
+} from "../src/providers.js"
 import * as AnthropicMessages from "../src/protocols/anthropic-messages.js"
 import * as Gemini from "../src/protocols/gemini.js"
 import * as OpenAIChat from "../src/protocols/openai-chat.js"
@@ -127,6 +137,34 @@ describe("applyCachePolicy", () => {
    }),
  )

+  const messagesModels = [
+    ["alibaba-messages", Alibaba.configure({ region: "ap-southeast-1", apiKey: "test" }).messages("qwen3.8-max")],
+    [
+      "cloudflare-ai-gateway-messages",
+      CloudflareAIGateway.configure({ accountId: "test", gatewayId: "test", apiKey: "test" }).model(
+        "anthropic/claude-sonnet-4-6",
+      ),
+    ],
+    ["meta-messages", Meta.configure({ apiKey: "test" }).messages("muse-spark-1.3")],
+    ["minimax-messages", MiniMax.configure({ apiKey: "test" }).model("MiniMax-M3")],
+    ["moonshot-messages", Moonshot.configure({ apiKey: "test" }).messages("kimi-k3")],
+    ["zai-coding-messages", ZAICodingPlan.configure({ apiKey: "test" }).messages("glm-5.3")],
+  ] as const
+
+  messagesModels.forEach(([route, model]) =>
+    it.effect(`'auto' emits cache markers on ${route}`, () =>
+      Effect.gen(function* () {
+        const prepared = yield* compileRequest(LLM.request({ model, system: "Sys", prompt: "hi" }))
+
+        expect(prepared.route).toBe(route)
+        expect(prepared.body).toMatchObject({
+          system: [{ type: "text", text: "Sys", cache_control: { type: "ephemeral" } }],
+          messages: [{ role: "user", content: [{ type: "text", text: "hi", cache_control: { type: "ephemeral" } }] }],
+        })
+      }),
+    ),
+  )
+
  it.effect("'auto' is a no-op on OpenAI (implicit caching protocol)", () =>
    Effect.gen(function* () {
      const prepared = yield* compileRequest(
@@ -10,7 +10,7 @@
      "usage"
    ],
    "name": "alibaba-messages/qwen-3-7-plus-streams-thinking-disabled",
-    "recordedAt": "2026-09-08T03:10:57.819Z"
+    "recordedAt": "2026-09-29T05:26:24.450Z"
  },
  "interactions": [
    {
@@ -21,14 +21,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"qwen3.7-plus\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}]}],\"stream\":true,\"max_tokens\":4096,\"thinking\":{\"type\":\"disabled\"}}"
+        "body": "{\"model\":\"qwen3.7-plus\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"max_tokens\":4096,\"thinking\":{\"type\":\"disabled\"}}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream"
        },
-        "body": "event:ping\ndata:{\"type\":\"ping\"}\n\nevent:message_start\ndata:{\"message\":{\"model\":\"qwen3.7-plus\",\"id\":\"msg_c4d58b4f-a61d-9d0c-a9e4-cb45d34b1120\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"usage\":{\"input_tokens\":20,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent:content_block_start\ndata:{\"type\":\"content_block_start\",\"content_block\":{\"type\":\"text\",\"text\":\"\"},\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"3\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"7887\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_stop\ndata:{\"type\":\"content_block_stop\",\"index\":0}\n\nevent:message_delta\ndata:{\"delta\":{\"stop_reason\":\"end_turn\"},\"type\":\"message_delta\",\"usage\":{\"output_tokens\":5,\"cache_creation_input_tokens\":0,\"input_tokens\":32,\"cache_read_input_tokens\":0,\"prompt_tokens_details\":{\"cached_tokens\":0}}}\n\nevent:message_stop\ndata:{\"type\":\"message_stop\"}\n\n"
+        "body": "event:ping\ndata:{\"type\":\"ping\"}\n\nevent:message_start\ndata:{\"message\":{\"model\":\"qwen3.7-plus\",\"id\":\"msg_39067759-5f01-9b3a-b2c1-09111797f7b5\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"usage\":{\"input_tokens\":20,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent:content_block_start\ndata:{\"type\":\"content_block_start\",\"content_block\":{\"type\":\"text\",\"text\":\"\"},\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"3\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"788\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"7\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_stop\ndata:{\"type\":\"content_block_stop\",\"index\":0}\n\nevent:message_delta\ndata:{\"delta\":{\"stop_reason\":\"end_turn\"},\"type\":\"message_delta\",\"usage\":{\"cache_creation\":{\"ephemeral_5m_input_tokens\":0},\"output_tokens\":5,\"cache_creation_input_tokens\":0,\"input_tokens\":32,\"cache_read_input_tokens\":0,\"prompt_tokens_details\":{\"cached_tokens\":0}}}\n\nevent:message_stop\ndata:{\"type\":\"message_stop\"}\n\n"
      }
    }
  ]
@@ -9,7 +9,7 @@
      "structured-output"
    ],
    "name": "alibaba-messages/qwen-3-8-max-follows-a-json-schema",
-    "recordedAt": "2026-09-08T03:11:30.530Z"
+    "recordedAt": "2026-09-29T05:26:41.466Z"
  },
  "interactions": [
    {
@@ -20,14 +20,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Return a JSON object with one key \\\"city\\\" set to the capital city of France.\"}]}],\"stream\":true,\"max_tokens\":1024,\"thinking\":{\"type\":\"disabled\"},\"output_config\":{\"format\":{\"type\":\"json_schema\",\"schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}}}"
+        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Return a JSON object with one key \\\"city\\\" set to the capital city of France.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"max_tokens\":1024,\"thinking\":{\"type\":\"disabled\"},\"output_config\":{\"format\":{\"type\":\"json_schema\",\"schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}}}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream"
        },
-        "body": "event:ping\ndata:{\"type\":\"ping\"}\n\nevent:message_start\ndata:{\"message\":{\"model\":\"qwen3.8-max\",\"id\":\"msg_16e067c1-984b-94d3-9abb-11792d794271\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"usage\":{\"input_tokens\":18,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent:content_block_start\ndata:{\"type\":\"content_block_start\",\"content_block\":{\"type\":\"text\",\"text\":\"\"},\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"{\\\"\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"city\\\":\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\" \\\"Paris\\\"}\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_stop\ndata:{\"type\":\"content_block_stop\",\"index\":0}\n\nevent:message_delta\ndata:{\"delta\":{\"stop_reason\":\"end_turn\"},\"type\":\"message_delta\",\"usage\":{\"output_tokens\":6,\"cache_creation_input_tokens\":0,\"input_tokens\":32,\"cache_read_input_tokens\":0,\"prompt_tokens_details\":{\"cached_tokens\":0}}}\n\nevent:message_stop\ndata:{\"type\":\"message_stop\"}\n\n"
+        "body": "event:ping\ndata:{\"type\":\"ping\"}\n\nevent:message_start\ndata:{\"message\":{\"model\":\"qwen3.8-max\",\"id\":\"msg_61ee9b9d-a224-9b69-98f7-9f9ea3937b41\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"usage\":{\"input_tokens\":18,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent:content_block_start\ndata:{\"type\":\"content_block_start\",\"content_block\":{\"type\":\"text\",\"text\":\"\"},\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"{\\\"\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\"city\\\":\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"type\":\"text_delta\",\"text\":\" \\\"Paris\\\"}\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_stop\ndata:{\"type\":\"content_block_stop\",\"index\":0}\n\nevent:message_delta\ndata:{\"delta\":{\"stop_reason\":\"end_turn\"},\"type\":\"message_delta\",\"usage\":{\"cache_creation\":{\"ephemeral_5m_input_tokens\":0},\"output_tokens\":6,\"cache_creation_input_tokens\":0,\"input_tokens\":32,\"cache_read_input_tokens\":0,\"prompt_tokens_details\":{\"cached_tokens\":0}}}\n\nevent:message_stop\ndata:{\"type\":\"message_stop\"}\n\n"
      }
    }
  ]
@@ -10,7 +10,7 @@
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+    "tags": [
+      "prefix:meta-messages",
+      "provider:meta",
+      "protocol:meta-messages",
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+      "tool-loop",
+      "reasoning"
+    ],
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    {
@@ -33,14 +40,14 @@
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          "content-type": "application/json"
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        "status": 200,
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      }
    }
  ]
@@ -2,9 +2,16 @@
  "version": 1,
  "metadata": {
    "model": "muse-spark-1.3",
-    "tags": ["prefix:meta-messages", "provider:meta", "protocol:meta-messages", "text", "reasoning", "adaptive"],
+    "tags": [
+      "prefix:meta-messages",
+      "provider:meta",
+      "protocol:meta-messages",
+      "text",
+      "reasoning",
+      "adaptive"
+    ],
    "name": "meta-messages/streams-text-with-adaptive-thinking",
-    "recordedAt": "2026-09-07T17:26:18.565Z"
+    "recordedAt": "2026-09-29T05:29:46.263Z"
  },
  "interactions": [
    {
@@ -15,14 +22,14 @@
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          "content-type": "application/json"
        },
-        "body": "{\"model\":\"muse-spark-1.3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}]}],\"stream\":true,\"max_tokens\":2048,\"thinking\":{\"type\":\"adaptive\",\"display\":\"omitted\"},\"output_config\":{\"effort\":\"low\"}}"
+        "body": "{\"model\":\"muse-spark-1.3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"max_tokens\":2048,\"thinking\":{\"type\":\"adaptive\",\"display\":\"omitted\"},\"output_config\":{\"effort\":\"low\"}}"
      },
      "response": {
        "status": 200,
        "headers": {
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      }
    }
  ]
@@ -2,9 +2,16 @@
  "version": 1,
  "metadata": {
    "model": "muse-spark-1.3",
-    "tags": ["prefix:meta-messages", "provider:meta", "protocol:meta-messages", "text", "reasoning", "enabled"],
+    "tags": [
+      "prefix:meta-messages",
+      "provider:meta",
+      "protocol:meta-messages",
+      "text",
+      "reasoning",
+      "enabled"
+    ],
    "name": "meta-messages/streams-text-with-enabled-thinking",
-    "recordedAt": "2026-09-07T17:26:20.464Z"
+    "recordedAt": "2026-09-29T05:29:50.023Z"
  },
  "interactions": [
    {
@@ -15,14 +22,14 @@
        "headers": {
          "content-type": "application/json"
        },
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+        "body": "{\"model\":\"muse-spark-1.3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"max_tokens\":2048,\"thinking\":{\"type\":\"enabled\",\"budget_tokens\":1024,\"display\":\"omitted\"},\"output_config\":{\"effort\":\"low\"}}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream"
        },
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      }
    }
  ]
@@ -11,7 +11,7 @@
      "reasoning"
    ],
    "name": "minimax-messages/m2-7-streams-default-thinking",
-    "recordedAt": "2026-09-07T16:53:20.721Z"
+    "recordedAt": "2026-09-29T05:27:50.902Z"
  },
  "interactions": [
    {
@@ -22,14 +22,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"MiniMax-M2.7\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\"}]}],\"stream\":true,\"max_tokens\":1536}"
+        "body": "{\"model\":\"MiniMax-M2.7\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"max_tokens\":1536}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream; charset=utf-8"
        },
-        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"bd0c49bb4f5e6f26b77bab9b5a917484\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M2.7\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":57,\"output_tokens\":0}}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"thinking\",\"thinking\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"The user\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" asks: \\\"What is 173 multiplied by 219? Reply with only the final integer.\\\" So we compute 173 * 219. Compute:\\n\\n173 * 219 = \"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"173 * (200 + 19) = 173*200 + 173*19 = 34600 + (173*19). 173*19 = 173*20\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" - 173 = 3460 - 173 = 3287. So total = 34600 + 3287 = 37887.\\n\\nAlternatively compute directly: 219 * \"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"173 = 219 * 173 = (219 * 100) + (219 * 70) + (219 * 3) = 21900 + 15330 + 657\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" = 37887.\\n\\nThus answer is 37887. We must reply with only the final integer: \\\"37887\\\". No extra text.\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"signature_delta\",\"signature\":\"1625da2f905565076ee90b9c2919db39b1719731c0820eca2f2a1c9c28324e87\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":1,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"text_delta\",\"text\":\"37887\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":1}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"},\"usage\":{\"input_tokens\":57,\"output_tokens\":187,\"output_tokens_details\":{\"thinking_tokens\":184}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
+        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"419c5ecf093decc95250bc4cc3afce52\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M2.7\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":0,\"output_tokens\":0,\"cache_creation_input_tokens\":21,\"cache_read_input_tokens\":36}}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"thinking\",\"thinking\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"The user\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" asks: \\\"What is 173 multiplied by 219? Reply with only the final integer.\\\"\\n\\nWe need to calculate 173 * 219 = ?\\n\\nLet's compute.\\n\\n173 *\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" 219:\\n\\nOption 1: compute 173 * 200 = 34,600 (actually 173*200 = 34,600\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"? Wait 173 * 200 = 34,600? Let's check: 173 * 2 = 346, then times 100 = 34,600. Yes\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\".)\\n\\n173 * 19 = 173 * 20 - 173 = 3,460 - 173 = 3\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\",287.\\n\\nAdd them: 34,600 + 3,287 = 37,887.\\n\\nThus product is 37,887.\\n\\nAlternatively, compute \"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"219 * 173: 219*100 = 21,900; 219*70 = 15,330; 219*3 = 657\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"; sum = 21,900 + 15,330 = 37,230; +657 = 37,887. Same.\\n\\nThus answer: 378\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"87.\\n\\nThe user wants only the final integer. So reply \\\"37887\\\". No other text.\\n\\nThus final answer: 37887.\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"signature_delta\",\"signature\":\"48b0f683a3fb6cfc2e060ff709c12a905c76d2e5bdddc709fb5b1cfc5aa600f7\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":1,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"text_delta\",\"text\":\"37887\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":1}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"},\"usage\":{\"input_tokens\":0,\"output_tokens\":259,\"cache_creation_input_tokens\":21,\"cache_read_input_tokens\":36,\"output_tokens_details\":{\"thinking_tokens\":256}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
      }
    }
  ]
@@ -13,7 +13,7 @@
      "usage"
    ],
    "name": "minimax-messages/m3-continues-a-tool-loop-with-adaptive-thinking",
-    "recordedAt": "2026-09-07T16:53:25.185Z"
+    "recordedAt": "2026-09-29T05:27:53.421Z"
  },
  "interactions": [
    {
@@ -24,14 +24,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"MiniMax-M3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Look up the current weather in Paris using get_weather before answering. After receiving the result, report the weather in one short sentence.\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"tool_choice\":{\"type\":\"auto\"},\"stream\":true,\"max_tokens\":1536,\"thinking\":{\"type\":\"adaptive\"}}"
+        "body": "{\"model\":\"MiniMax-M3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Look up the current weather in Paris using get_weather before answering. After receiving the result, report the weather in one short sentence.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false},\"cache_control\":{\"type\":\"ephemeral\"}}],\"tool_choice\":{\"type\":\"auto\"},\"stream\":true,\"max_tokens\":1536,\"thinking\":{\"type\":\"adaptive\"}}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream; charset=utf-8"
        },
-        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"6a532037868639a6189e7c0b9e1c9aa2\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":0,\"output_tokens\":0,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"thinking\",\"thinking\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"The user wants me\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" to look up the\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" current weather in Paris\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" using the get_\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"weather tool, then\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" report it\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" in one short sentence\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\". Let\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" me call the tool\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\".\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"signature_delta\",\"signature\":\"f05cb5f4873950f23d194289c41d79b96ebd37c9411a45b306ed44f135a910d4\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":1,\"content_block\":{\"type\":\"tool_use\",\"id\":\"call_01a07cc9f2d47d83a6424ff3\",\"name\":\"get_weather\",\"input\":{}}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"{\\\"city\\\":\\\"Paris\\\"}\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":1}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"tool_use\"},\"usage\":{\"input_tokens\":239,\"output_tokens\":63,\"cache_read_input_tokens\":203,\"service_tier\":\"standard\",\"output_tokens_details\":{\"thinking_tokens\":33}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
+        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"6e8c4645c02dd05c2f08c22e5eba9a89\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":0,\"output_tokens\":0,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"thinking\",\"thinking\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"The user wants me\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" to look up the\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" current weather in Paris\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" using the get_\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"weather tool, then\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" report the weather in\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" one short sentence after\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" receiving the result.\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" Let\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" me call the tool\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\".\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"signature_delta\",\"signature\":\"61f13458806572210eb8e1809b12f191297eea1a7f0104aa12f86595ef5eb1dc\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":1,\"content_block\":{\"type\":\"tool_use\",\"id\":\"call_01a0eba239b7718ba67e5aa3\",\"name\":\"get_weather\",\"input\":{}}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"{\\\"city\\\":\\\"Paris\\\"}\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":1}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"tool_use\"},\"usage\":{\"input_tokens\":239,\"output_tokens\":68,\"cache_read_input_tokens\":203,\"service_tier\":\"standard\",\"output_tokens_details\":{\"thinking_tokens\":38}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
      }
    },
    {
@@ -42,14 +42,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"MiniMax-M3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Look up the current weather in Paris using get_weather before answering. After receiving the result, report the weather in one short sentence.\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"The user wants me to look up the current weather in Paris using the get_weather tool, then report it in one short sentence. Let me call the tool.\",\"signature\":\"f05cb5f4873950f23d194289c41d79b96ebd37c9411a45b306ed44f135a910d4\"},{\"type\":\"tool_use\",\"id\":\"call_01a07cc9f2d47d83a6424ff3\",\"name\":\"get_weather\",\"input\":{\"city\":\"Paris\"}}]},{\"role\":\"user\",\"content\":[{\"type\":\"tool_result\",\"tool_use_id\":\"call_01a07cc9f2d47d83a6424ff3\",\"content\":\"{\\\"condition\\\":\\\"sunny\\\",\\\"temperature\\\":\\\"18C\\\"}\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"tool_choice\":{\"type\":\"none\"},\"stream\":true,\"max_tokens\":1536,\"thinking\":{\"type\":\"adaptive\"}}"
+        "body": "{\"model\":\"MiniMax-M3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Look up the current weather in Paris using get_weather before answering. After receiving the result, report the weather in one short sentence.\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"The user wants me to look up the current weather in Paris using the get_weather tool, then report the weather in one short sentence after receiving the result. Let me call the tool.\",\"signature\":\"61f13458806572210eb8e1809b12f191297eea1a7f0104aa12f86595ef5eb1dc\"},{\"type\":\"tool_use\",\"id\":\"call_01a0eba239b7718ba67e5aa3\",\"name\":\"get_weather\",\"input\":{\"city\":\"Paris\"}}]},{\"role\":\"user\",\"content\":[{\"type\":\"tool_result\",\"tool_use_id\":\"call_01a0eba239b7718ba67e5aa3\",\"content\":\"{\\\"condition\\\":\\\"sunny\\\",\\\"temperature\\\":\\\"18C\\\"}\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get the current weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false},\"cache_control\":{\"type\":\"ephemeral\"}}],\"tool_choice\":{\"type\":\"none\"},\"stream\":true,\"max_tokens\":1536,\"thinking\":{\"type\":\"adaptive\"}}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream; charset=utf-8"
        },
-        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"e9e7ea89f63eca1cd17a037aef28eed1\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":0,\"output_tokens\":0,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"The weather\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" in Paris is sunny\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" with\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" a\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" temperature of 18\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"°C.\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"},\"usage\":{\"input_tokens\":164,\"output_tokens\":16,\"cache_read_input_tokens\":128,\"service_tier\":\"standard\"}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
+        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"0f6a842fc54eecab0d6df9ffebd8dd3b\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":0,\"output_tokens\":0,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"thinking\",\"thinking\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"The weather\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" in Paris is sunny\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" with a\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" temperature of 18\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"°C. I'll\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" report this in one\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"short sentence.\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"signature_delta\",\"signature\":\"fefe2c0e5f3f0a0edc24b21d37c8b7fb12ed0755bd1898f71acc2325f1b35958\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":1,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"text_delta\",\"text\":\"It's\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"text_delta\",\"text\":\" currently\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"text_delta\",\"text\":\" sunny in\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"text_delta\",\"text\":\" Paris with a temperature\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"text_delta\",\"text\":\" of 18°C\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"text_delta\",\"text\":\".\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":1}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"},\"usage\":{\"input_tokens\":169,\"output_tokens\":38,\"cache_read_input_tokens\":128,\"service_tier\":\"standard\",\"output_tokens_details\":{\"thinking_tokens\":22}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
      }
    }
  ]
@@ -11,7 +11,7 @@
      "usage"
    ],
    "name": "minimax-messages/m3-generates-a-named-tool-call-with-default-thinking-off",
-    "recordedAt": "2026-09-07T16:53:24.366Z"
+    "recordedAt": "2026-09-29T05:27:51.660Z"
  },
  "interactions": [
    {
@@ -22,14 +22,14 @@
        "headers": {
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        },
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  ]
@@ -11,7 +11,7 @@
      "thinking-off"
    ],
    "name": "minimax-messages/m3-streams-text-with-thinking-disabled",
-    "recordedAt": "2026-09-07T16:53:16.028Z"
+    "recordedAt": "2026-09-29T05:27:36.888Z"
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  "interactions": [
    {
@@ -22,14 +22,14 @@
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+        "body": "{\"model\":\"MiniMax-M3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219? Reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"max_tokens\":1536,\"thinking\":{\"type\":\"disabled\"}}"
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+        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"444066751666f2071c999bfd0b4c16b0\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":0,\"output_tokens\":0,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"378\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"87\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"},\"usage\":{\"input_tokens\":179,\"output_tokens\":3,\"service_tier\":\"standard\"}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
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@@ -2,9 +2,16 @@
  "version": 1,
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    "model": "kimi-k3",
-    "tags": ["prefix:moonshot-messages", "provider:moonshot", "protocol:messages", "tool", "tool-choice", "usage"],
+    "tags": [
+      "prefix:moonshot-messages",
+      "provider:moonshot",
+      "protocol:messages",
+      "tool",
+      "tool-choice",
+      "usage"
+    ],
    "name": "moonshot-messages/k3-respects-tool-choice-required",
-    "recordedAt": "2026-09-07T20:37:07.770Z"
+    "recordedAt": "2026-09-29T05:28:21.798Z"
  },
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@@ -15,14 +22,14 @@
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    }
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@@ -1,54 +0,0 @@
-{
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-      "protocol:openai-compatible-chat",
-      "provider:openrouter",
-      "tool",
-      "tool-loop",
-      "golden",
-      "flagship"
-    ]
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://openrouter.ai/api/v1/chat/completions",
-        "headers": {
-          "content-type": "application/json"
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-        "body": "{\"model\":\"anthropic/claude-opus-4.7\",\"messages\":[{\"role\":\"system\",\"content\":\"Use the get_weather tool exactly once, then answer in one short sentence.\"},{\"role\":\"user\",\"content\":\"What is the weather in Paris?\"}],\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_tokens\":80,\"temperature\":0}"
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-      }
-    }
-  ]
-}
@@ -0,0 +1,57 @@
+{
+  "version": 1,
+  "metadata": {
+    "provider": "openrouter",
+    "route": "openrouter-messages",
+    "transport": "http",
+    "model": "anthropic/claude-opus-4.7",
+    "tags": [
+      "prefix:openrouter-messages",
+      "provider:openrouter",
+      "flagship",
+      "tool",
+      "tool-loop",
+      "golden"
+    ],
+    "name": "openrouter-messages/openrouter-claude-opus-4-7-tool-loop",
+    "recordedAt": "2026-09-30T03:26:16.603Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://openrouter.ai/api/v1/messages",
+        "headers": {
+          "content-type": "application/json"
+        },
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+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"gen-1790738774-LwBI9xYpi0PJ3zyXvhBe\",\"type\":\"message\",\"role\":\"assistant\",\"container\":null,\"content\":[],\"model\":\"anthropic/claude-opus-4.7\",\"stop_reason\":null,\"stop_details\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":812,\"output_tokens\":1,\"output_tokens_details\":null,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"inference_geo\":\"global\",\"server_tool_use\":null,\"service_tier\":\"standard\",\"speed\":\"standard\"},\"provider\":\"Claude Platform on AWS\"}}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"tool_use\",\"id\":\"toolu_01SvA3dpQ3bwgAKjQB1d9rL5\",\"caller\":{\"type\":\"direct\"},\"name\":\"get_weather\",\"input\":{}}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"{\\\"city\\\": \\\"Paris\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"\\\"}\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"container\":null,\"stop_details\":null,\"stop_reason\":\"tool_use\",\"stop_sequence\":null},\"usage\":{\"input_tokens\":812,\"output_tokens\":66,\"output_tokens_details\":{\"thinking_tokens\":0},\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"server_tool_use\":null,\"service_tier\":\"standard\",\"speed\":\"standard\",\"cost\":0.00571,\"is_byok\":false,\"cost_details\":{\"upstream_inference_cost\":0.00571,\"upstream_inference_prompt_cost\":0.00406,\"upstream_inference_completions_cost\":0.00165}},\"context_management\":null}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\nevent: data\ndata: [DONE]\n\n"
+      }
+    },
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://openrouter.ai/api/v1/messages",
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+        "headers": {
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+      }
+    }
+  ]
+}
@@ -2,9 +2,14 @@
  "version": 1,
  "metadata": {
    "model": "anthropic/claude-sonnet-4.6",
-    "tags": ["prefix:openai-compatible-chat", "provider:openrouter", "protocol:openai-chat", "reasoning"],
+    "tags": [
+      "prefix:openai-compatible-chat",
+      "provider:openrouter",
+      "protocol:openai-chat",
+      "reasoning"
+    ],
    "name": "openrouter-reasoning",
-    "recordedAt": "2026-07-18T11:28:39.267Z"
+    "recordedAt": "2026-09-30T03:26:02.917Z"
  },
  "interactions": [
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@@ -15,14 +20,14 @@
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+        "body": "{\"model\":\"anthropic/claude-sonnet-4.6\",\"messages\":[{\"role\":\"system\",\"content\":[{\"type\":\"text\",\"text\":\"Think through the arithmetic, then reply with only the final integer.\",\"cache_control\":{\"type\":\"ephemeral\"}}]},{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is 173 multiplied by 219?\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"store\":false,\"max_completion_tokens\":1536,\"temperature\":0,\"usage\":{\"include\":true},\"reasoning\":{\"max_tokens\":1024}}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream"
        },
-        "body": ": OPENROUTER PROCESSING\n\n: OPENROUTER PROCESSING\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":\"173\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"173\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\n: OPENROUTER PROCESSING\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":\" × 219\\n\\n173 × 200 = 34,600\\n173 × 19 = 173 × 20 - 173 = 3,460 - 173 = 3,287\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\" × 219\\n\\n173 × 200 = 34,600\\n173 × 19 = 173 × 20 - 173 = 3,460 - 173 = 3,287\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":\"\\n\\n34,600 + 3,287 = 37,887\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"\\n\\n34,600 + 3,287 = 37,887\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"signature\":\"EtgCCosBCA8YAipA0W4viH3kgBs43Cl5ewwVBPXTQElvzfbA2TLF4iSbKy9ZZDCSDjjAlF3Bs4ELEnP3vrrTuTioC6OB380lXQdyIDIRY2xhdWRlLXNvbm5ldC00LTY4AEIIdGhpbmtpbmdaJDRjMGYwNDZmLTI1ZmQtNDVmYi1iZmIzLWEwOGE4ZTI0OWNhNxIMMiUlJC3x/5p5PuTwGgwlc8eipZyoM94BHwMiMO45uQx/ymeOjbugi7RDVPZ4jZXSIiEbVi2CD7zPjAK5fFQoVGP1HD55v9CER823JCp6Dg5Xb7Lrk6NUd1XN2KTKrttK7mATE+IBrDTFmor/1cNeg+9gjIbxM/jn/6L5HPmh3/esEVu24Q0IGLZVoE7cTgGgxsrceKMD71Jp2XQgIWD8ltsPfWw3gSc4p+z18UuPN6LuR0mHHENTnClHrAPnOrxbDIl4ZwZgMX8YAQ==\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"37887\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":null},\"finish_reason\":\"stop\",\"native_finish_reason\":\"end_turn\"}]}\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"service_tier\":\"default\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":\"stop\",\"native_finish_reason\":\"end_turn\"}],\"usage\":{\"prompt_tokens\":61,\"completion_tokens\":80,\"total_tokens\":141,\"cost\":0.001383,\"is_byok\":false,\"prompt_tokens_details\":{\"cached_tokens\":0,\"cache_write_tokens\":0,\"audio_tokens\":0,\"video_tokens\":0},\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"cost_details\":{\"upstream_inference_cost\":0.001383,\"upstream_inference_prompt_cost\":0.000183,\"upstream_inference_completions_cost\":0.0012},\"completion_tokens_details\":{\"reasoning_tokens\":29,\"image_tokens\":0,\"audio_tokens\":0}}}\n\ndata: [DONE]\n\n"
+        "body": "data: {\"id\":\"gen-1790738761-YbCA1TN8srf01M309CrM\",\"object\":\"chat.completion.chunk\",\"created\":1790738761,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Claude Platform on AWS\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":\"173\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"173\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1790738761-YbCA1TN8srf01M309CrM\",\"object\":\"chat.completion.chunk\",\"created\":1790738761,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Claude Platform on AWS\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":\" × 219\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\" × 219\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\n: OPENROUTER PROCESSING\n\ndata: {\"id\":\"gen-1790738761-YbCA1TN8srf01M309CrM\",\"object\":\"chat.completion.chunk\",\"created\":1790738761,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Claude Platform on AWS\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":\"\\n\\n173 × 200 = 34,600\\n173 × 19 = 173 × 20 - 173 = 3,460 - 173 = 3,287\\n\\n34,600 + 3,287 = 37,887\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"\\n\\n173 × 200 = 34,600\\n173 × 19 = 173 × 20 - 173 = 3,460 - 173 = 3,287\\n\\n34,600 + 3,287 = 37,887\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1790738761-YbCA1TN8srf01M309CrM\",\"object\":\"chat.completion.chunk\",\"created\":1790738761,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Claude Platform on AWS\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"signature\":\"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.eyJlbmRwb2ludF9zbHVnIjoiYW50aHJvcGljL2NsYXVkZS00LjYtc29ubmV0LTIwMjYwMjE3fGNsYXVkZS1vbi1hd3MifQ\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1790738761-YbCA1TN8srf01M309CrM\",\"object\":\"chat.completion.chunk\",\"created\":1790738761,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Claude Platform on AWS\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"37887\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1790738761-YbCA1TN8srf01M309CrM\",\"object\":\"chat.completion.chunk\",\"created\":1790738761,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Claude Platform on AWS\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":null},\"finish_reason\":\"stop\",\"native_finish_reason\":\"end_turn\"}]}\n\ndata: {\"id\":\"gen-1790738761-YbCA1TN8srf01M309CrM\",\"object\":\"chat.completion.chunk\",\"created\":1790738761,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Claude Platform on AWS\",\"service_tier\":\"default\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":\"stop\",\"native_finish_reason\":\"end_turn\"}],\"usage\":{\"prompt_tokens\":61,\"completion_tokens\":80,\"total_tokens\":141,\"cost\":0.001383,\"is_byok\":false,\"prompt_tokens_details\":{\"cached_tokens\":0,\"cache_write_tokens\":0,\"audio_tokens\":0,\"video_tokens\":0},\"cost_details\":{\"upstream_inference_cost\":0.001383,\"upstream_inference_prompt_cost\":0.000183,\"upstream_inference_completions_cost\":0.0012},\"completion_tokens_details\":{\"reasoning_tokens\":73,\"image_tokens\":0,\"audio_tokens\":0}}}\n\ndata: [DONE]\n\n"
      }
    }
  ]
@@ -0,0 +1,37 @@
+{
+  "version": 1,
+  "metadata": {
+    "provider": "openrouter",
+    "route": "openrouter-responses",
+    "transport": "http",
+    "model": "openai/gpt-4o-mini",
+    "tags": [
+      "prefix:openrouter-responses",
+      "provider:openrouter",
+      "text",
+      "golden"
+    ],
+    "name": "openrouter-responses/openrouter-gpt-4o-mini-text",
+    "recordedAt": "2026-09-30T16:23:26.190Z"
+  },
+  "interactions": [
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://openrouter.ai/api/v1/responses",
+        "headers": {
+          "content-type": "application/json"
+        },
+        "body": "{\"model\":\"openai/gpt-4o-mini\",\"input\":[{\"type\":\"message\",\"role\":\"user\",\"content\":[{\"type\":\"input_text\",\"text\":\"Reply exactly with: Hello!\"}]}],\"instructions\":\"You are concise.\",\"store\":false,\"include\":[\"reasoning.encrypted_content\"],\"max_output_tokens\":40,\"temperature\":0,\"stream\":true}"
+      },
+      "response": {
+        "status": 200,
+        "headers": {
+          "content-type": "text/event-stream"
+        },
+        "body": "data: {\"type\":\"response.created\",\"response\":{\"id\":\"gen-1790785405-TibUw8IxcUdeh1aIMexG\",\"object\":\"response\",\"created_at\":1790785405,\"model\":\"openai/gpt-4o-mini\",\"status\":\"in_progress\",\"completed_at\":null,\"output\":[],\"error\":null,\"incomplete_details\":null,\"tools\":[],\"tool_choice\":\"auto\",\"parallel_tool_calls\":true,\"max_output_tokens\":40,\"temperature\":0,\"top_p\":1,\"presence_penalty\":0,\"frequency_penalty\":0,\"top_logprobs\":0,\"max_tool_calls\":null,\"metadata\":{},\"background\":false,\"previous_response_id\":null,\"service_tier\":\"auto\",\"truncation\":\"disabled\",\"store\":false,\"instructions\":\"You are concise.\",\"text\":{\"format\":{\"type\":\"text\"}},\"reasoning\":null,\"safety_identifier\":null,\"prompt_cache_key\":null,\"prompt_cache_options\":null,\"usage\":null},\"sequence_number\":0}\n\ndata: {\"type\":\"response.in_progress\",\"response\":{\"id\":\"gen-1790785405-TibUw8IxcUdeh1aIMexG\",\"object\":\"response\",\"created_at\":1790785405,\"model\":\"openai/gpt-4o-mini\",\"status\":\"in_progress\",\"completed_at\":null,\"output\":[],\"error\":null,\"incomplete_details\":null,\"tools\":[],\"tool_choice\":\"auto\",\"parallel_tool_calls\":true,\"max_output_tokens\":40,\"temperature\":0,\"top_p\":1,\"presence_penalty\":0,\"frequency_penalty\":0,\"top_logprobs\":0,\"max_tool_calls\":null,\"metadata\":{},\"background\":false,\"previous_response_id\":null,\"service_tier\":\"auto\",\"truncation\":\"disabled\",\"store\":false,\"instructions\":\"You are concise.\",\"text\":{\"format\":{\"type\":\"text\"}},\"reasoning\":null,\"safety_identifier\":null,\"prompt_cache_key\":null,\"prompt_cache_options\":null,\"usage\":null},\"sequence_number\":1}\n\ndata: {\"type\":\"response.output_item.added\",\"output_index\":0,\"item\":{\"id\":\"msg_tmp_2aq1aouoqhw\",\"type\":\"message\",\"status\":\"in_progress\",\"role\":\"assistant\",\"content\":[]},\"sequence_number\":2}\n\ndata: {\"type\":\"response.content_part.added\",\"output_index\":0,\"item_id\":\"msg_tmp_2aq1aouoqhw\",\"content_index\":0,\"part\":{\"type\":\"output_text\",\"text\":\"\",\"annotations\":[],\"logprobs\":[]},\"sequence_number\":3}\n\ndata: {\"type\":\"response.output_text.delta\",\"output_index\":0,\"item_id\":\"msg_tmp_2aq1aouoqhw\",\"content_index\":0,\"delta\":\"Hello\",\"logprobs\":[],\"sequence_number\":4}\n\ndata: {\"type\":\"response.output_text.delta\",\"output_index\":0,\"item_id\":\"msg_tmp_2aq1aouoqhw\",\"content_index\":0,\"delta\":\"!\",\"logprobs\":[],\"sequence_number\":5}\n\ndata: {\"type\":\"response.output_text.done\",\"output_index\":0,\"item_id\":\"msg_tmp_2aq1aouoqhw\",\"content_index\":0,\"text\":\"Hello!\",\"logprobs\":[],\"sequence_number\":6}\n\ndata: {\"type\":\"response.content_part.done\",\"output_index\":0,\"item_id\":\"msg_tmp_2aq1aouoqhw\",\"content_index\":0,\"part\":{\"type\":\"output_text\",\"text\":\"Hello!\",\"annotations\":[],\"logprobs\":[]},\"sequence_number\":7}\n\ndata: {\"type\":\"response.output_item.done\",\"output_index\":0,\"item\":{\"id\":\"msg_tmp_2aq1aouoqhw\",\"type\":\"message\",\"status\":\"completed\",\"role\":\"assistant\",\"content\":[{\"type\":\"output_text\",\"text\":\"Hello!\",\"annotations\":[],\"logprobs\":[]}]},\"sequence_number\":8}\n\ndata: {\"type\":\"response.completed\",\"response\":{\"id\":\"gen-1790785405-TibUw8IxcUdeh1aIMexG\",\"object\":\"response\",\"created_at\":1790785405,\"model\":\"openai/gpt-4o-mini\",\"status\":\"completed\",\"completed_at\":1790785406,\"output\":[{\"id\":\"msg_tmp_2aq1aouoqhw\",\"type\":\"message\",\"role\":\"assistant\",\"status\":\"completed\",\"content\":[{\"type\":\"output_text\",\"text\":\"Hello!\",\"annotations\":[],\"logprobs\":[]}]}],\"error\":null,\"incomplete_details\":null,\"tools\":[],\"tool_choice\":\"auto\",\"parallel_tool_calls\":true,\"max_output_tokens\":40,\"temperature\":0,\"top_p\":1,\"presence_penalty\":0,\"frequency_penalty\":0,\"top_logprobs\":0,\"max_tool_calls\":null,\"metadata\":{},\"background\":false,\"previous_response_id\":null,\"service_tier\":\"default\",\"truncation\":\"disabled\",\"store\":false,\"instructions\":\"You are concise.\",\"text\":{\"format\":{\"type\":\"text\"}},\"reasoning\":null,\"safety_identifier\":null,\"prompt_cache_key\":null,\"prompt_cache_options\":null,\"usage\":{\"input_tokens\":21,\"input_tokens_details\":{\"cached_tokens\":0},\"output_tokens\":2,\"output_tokens_details\":{\"reasoning_tokens\":0},\"total_tokens\":23,\"cost\":0.00000435,\"is_byok\":false,\"cost_details\":{\"upstream_inference_cost\":0.00000435,\"upstream_inference_input_cost\":0.00000315,\"upstream_inference_output_cost\":0.0000012}}},\"sequence_number\":9}\n\ndata: [DONE]\n\n"
+      }
+    }
+  ]
+}
@@ -355,6 +355,34 @@ describe("provider error rawBody classification", () => {
    }
  })

+  test("classifies Workers AI context window rejections as context overflow despite HTTP 413", () => {
+    const message =
+      "AiError: Ai: The estimated number of input and maximum output tokens (900047) exceeded this model context window limit (32000). (17851589-f2e6-405d-b67c-5550e52ee1c1)"
+    const reason = classifyProviderFailure({
+      message,
+      status: 413,
+      rawBody: JSON.stringify({ errors: [{ message, code: 5021 }], success: false, result: {}, messages: [] }),
+    })
+    expect(reason._tag === "InvalidRequest" ? reason.classification : reason._tag).toBe("context-overflow")
+  })
+
+  test("classifies Amazon Nova input token rejections as context overflow", () => {
+    const message =
+      "The model returned the following errors: Input Tokens Exceeded: Number of input tokens exceeds maximum length. Please update the input to try again."
+    const reason = classifyProviderFailure({
+      message,
+      rawBody: JSON.stringify({
+        headers: {
+          ":exception-type": { type: "string", value: "validationException" },
+          ":content-type": { type: "string", value: "application/json" },
+          ":message-type": { type: "string", value: "exception" },
+        },
+        body: JSON.stringify({ message }),
+      }),
+    })
+    expect(reason._tag === "InvalidRequest" ? reason.classification : reason._tag).toBe("context-overflow")
+  })
+
  test("classifies Google invalid API keys as authentication failures", () => {
    const rawBody = JSON.stringify({
      error: {
@@ -242,14 +242,14 @@ describeRecordedGoldenScenarios([
  },
  {
    name: "OpenRouter gpt-4o-mini",
-    prefix: "openai-compatible-chat",
+    prefix: "openrouter-responses",
    model: openrouter,
    requires: ["OPENROUTER_API_KEY"],
    scenarios: ["text", "tool-call", "tool-loop"],
  },
  {
    name: "OpenRouter gpt-5.5",
-    prefix: "openai-compatible-chat",
+    prefix: "openrouter-responses",
    model: openrouterGpt55,
    requires: ["OPENROUTER_API_KEY"],
    tags: ["flagship"],
@@ -257,10 +257,20 @@ describeRecordedGoldenScenarios([
  },
  {
    name: "OpenRouter Claude Opus 4.7",
-    prefix: "openai-compatible-chat",
+    prefix: "openrouter-messages",
    model: openrouterOpus,
    requires: ["OPENROUTER_API_KEY"],
    tags: ["flagship"],
    scenarios: ["tool-loop"],
  },
+  {
+    name: "OpenRouter Grok 4.3",
+    prefix: "openrouter-responses",
+    model: OpenRouter.configure({
+      apiKey: process.env.OPENROUTER_API_KEY ?? "fixture",
+      providerOptions: { reasoning: { effort: "none" } },
+    }).model("x-ai/grok-4.3"),
+    requires: ["OPENROUTER_API_KEY"],
+    scenarios: ["tool-loop"],
+  },
 ])
@@ -33,7 +33,12 @@ it.effect("Meta selects Messages and lowers native search alongside ordinary fun
      output_config: { effort: "low" },
      tools: [
        { type: "web_search", name: "web_search", user_location: { type: "approximate", country: "US" } },
-        { name: "lookup", description: "Lookup", input_schema: { type: "object" } },
+        {
+          name: "lookup",
+          description: "Lookup",
+          input_schema: { type: "object" },
+          cache_control: { type: "ephemeral" },
+        },
      ],
    })
    const entrypoint = yield* Effect.promise(() => import("@opencode/ai/providers/meta/messages"))
@@ -303,7 +303,8 @@ describe("Mistral Chat", () => {
          fixedResponse(
            sseEvents(
              chunk({ content: [{ type: "thinking", thinking: [], marker: "empty" }] }),
-              chunk({ content: [{ type: "thinking", thinking: [{ type: "text", text: "Consider" }] }] }),
+              chunk({ content: [{ type: "thinking", thinking: [{ type: "text", text: "Con" }] }] }),
+              chunk({ content: [{ type: "thinking", thinking: [{ type: "text", text: "sider" }], closed: true }] }),
              chunk({ content: [{ type: "text", text: "Answer" }] }),
              chunk({}, "stop"),
            ),
@@ -313,6 +314,11 @@ describe("Mistral Chat", () => {

      expect(response.reasoning).toBe("Consider")
      expect(response.text).toBe("Answer")
+      expect(response.events.find(LLMEvent.is.reasoningStart)?.providerMetadata).toBeUndefined()
+      expect(response.events.filter(LLMEvent.is.reasoningDelta).map((event) => [event.text, event.providerMetadata])).toEqual([
+        ["Con", undefined],
+        ["sider", undefined],
+      ])
      expect(response.message.content).toEqual([
        {
          type: "reasoning",
@@ -321,8 +327,12 @@ describe("Mistral Chat", () => {
            mistral: {
              thinking: {
                type: "thinking",
-                thinking: [{ type: "text", text: "Consider" }],
+                thinking: [
+                  { type: "text", text: "Con" },
+                  { type: "text", text: "sider" },
+                ],
                marker: "empty",
+                closed: true,
              },
            },
          },
@@ -337,8 +347,12 @@ describe("Mistral Chat", () => {
          content: [
            {
              type: "thinking",
-              thinking: [{ type: "text", text: "Consider" }],
+              thinking: [
+                { type: "text", text: "Con" },
+                { type: "text", text: "sider" },
+              ],
              marker: "empty",
+              closed: true,
            },
            { type: "text", text: "Answer" },
          ],
@@ -357,6 +371,8 @@ describe("Mistral Chat", () => {
          ),
        ),
      )
+      expect(response.events.find(LLMEvent.is.reasoningStart)?.providerMetadata).toBeUndefined()
+      expect(response.events.filter(LLMEvent.is.reasoningDelta)).toEqual([])
      expect(response.message.content).toEqual([
        {
          type: "reasoning",
@@ -16,7 +16,7 @@ const cases = [
      OpenRouter.configure({
        apiKey: process.env.OPENROUTER_API_KEY ?? "fixture",
        providerOptions: { reasoning: { max_tokens: 1024 } },
-      }).model("anthropic/claude-sonnet-4.6"),
+      }).chat("anthropic/claude-sonnet-4.6"),
      { compatibility: { reasoningField: "reasoning" } },
    ),
    requires: ["OPENROUTER_API_KEY"],
@@ -89,7 +89,14 @@ for (const item of cases) {

          const replay = yield* compileRequest(LLM.request({ model: item.model, messages: [response.message] }))
          expect(replay.body.messages).toMatchObject([
-            { role: "assistant", content: response.text, reasoning: response.reasoning },
+            {
+              role: "assistant",
+              content:
+                item.model.route.id === "openrouter"
+                  ? [{ type: "text", text: response.text, cache_control: { type: "ephemeral" } }]
+                  : response.text,
+              reasoning: response.reasoning,
+            },
          ])
          const replayDetails =
            replay.body.messages[0]?.role === "assistant" ? replay.body.messages[0].reasoning_details : undefined
@@ -4996,6 +4996,42 @@ describe("OpenAI Responses route", () => {
    }),
  )

+  it.effect("retains the token-sharing HTTP 429 body for retry hooks", () =>
+    Effect.gen(function* () {
+      const body = JSON.stringify({ error: { code: "subscription_sharing_usage_limit_exceeded", message: "Rate limit exceeded" } })
+      const error = yield* LLMClient.generate(request).pipe(
+        Effect.provide(
+          fixedResponse(body, { status: 429, headers: { "content-type": "application/json" } }),
+        ),
+        Effect.flip,
+      )
+
+      expect(error).toMatchObject({ reason: { _tag: "RateLimit", http: { status: 429 }, body } })
+    }),
+  )
+
+  it.effect("retains the token-sharing response.failed event for retry hooks", () =>
+    Effect.gen(function* () {
+      const error = yield* LLMClient.generate(request).pipe(
+        Effect.provide(
+          fixedResponse(
+            sseEvents({
+              type: "response.failed",
+              response: {
+                id: "resp_usage_limit",
+                error: { code: "subscription_sharing_usage_limit_exceeded", message: "Rate limit exceeded" },
+              },
+            }),
+          ),
+        ),
+        Effect.flip,
+      )
+
+      expect(error).toMatchObject({ reason: { _tag: "RateLimit" } })
+      expect(error.reason.body).toContain("subscription_sharing_usage_limit_exceeded")
+    }),
+  )
+
  it.effect("surfaces response.failed code when no nested message is present", () =>
    Effect.gen(function* () {
      const error = yield* LLMClient.generate(request).pipe(
@@ -0,0 +1,83 @@
+import { expect } from "bun:test"
+import { Effect } from "effect"
+import { LLM, LLMRequest, Message } from "../../src/index.js"
+import { OpenRouter } from "../../src/providers/openrouter.js"
+import { LLMClient } from "../../src/route.js"
+import { recordedTests } from "../recorded-test.js"
+
+const recorded = recordedTests({
+  prefix: "openrouter-responses",
+  provider: "openrouter",
+  protocol: "openrouter-responses",
+  requires: ["OPENROUTER_API_KEY"],
+})
+
+recorded.effect.with(
+  "continues Meta reasoning through a namespaced tool loop",
+  { cassette: "openrouter-responses/openrouter-muse-spark-1-3-tool-loop", tags: ["reasoning", "tool-loop"] },
+  () =>
+    Effect.gen(function* () {
+      const tool = {
+        name: "lookup",
+        description: "Look up a reference value",
+        inputSchema: {
+          type: "object",
+          properties: { query: { type: "string" } },
+          required: ["query"],
+        },
+      }
+      const request = LLM.request({
+        model: OpenRouter.configure({
+          apiKey: process.env.OPENROUTER_API_KEY ?? "fixture",
+          providerOptions: { reasoning: { effort: "minimal" } },
+        }).model("meta/muse-spark-1.3"),
+        prompt: "Call only crm.lookup once with query ping. Do not call inventory.lookup. Wait for the result.",
+        tools: ["crm", "inventory"].map((name) => ({ type: "namespace", name, tools: [tool] })),
+        generation: { maxTokens: 1536 },
+      })
+      const first = yield* LLMClient.generate(request)
+      expect(first.toolCalls).toMatchObject([{ name: "lookup", namespace: "crm", input: { query: "ping" } }])
+      const call = first.toolCalls[0]
+      if (!call) throw new Error("Expected a namespaced tool call")
+      const second = yield* LLMClient.generate(
+        LLMRequest.update(request, {
+          messages: [
+            ...request.messages,
+            first.message,
+            Message.tool({ id: call.id, name: call.name, namespace: call.namespace, result: "pong" }),
+            Message.user("Do not call tools again. Reply exactly pong."),
+          ],
+        }),
+      )
+
+      expect(second.toolCalls).toHaveLength(0)
+      expect(second.text.trim()).toBe("pong")
+    }),
+  60_000,
+)
+
+recorded.effect(
+  "preserves native hosted-search events",
+  () =>
+    Effect.gen(function* () {
+      const response = yield* LLMClient.generate(
+        LLM.request({
+          model: OpenRouter.configure({
+            apiKey: process.env.OPENROUTER_API_KEY ?? "fixture",
+            providerOptions: { reasoning: { effort: "low" } },
+          }).model("x-ai/grok-4.3"),
+          prompt:
+            "Use web search once to find the official OpenRouter Responses API documentation. Reply with its URL.",
+          generation: { maxTokens: 1536 },
+          http: { body: { tools: [{ type: "web_search_preview", engine: "native", max_uses: 1 }], max_tool_calls: 1 } },
+        }),
+      )
+
+      expect(response.toolCalls).toContainEqual(expect.objectContaining({ name: "web_search", providerExecuted: true }))
+      expect(response.message.content).toContainEqual(
+        expect.objectContaining({ type: "tool-result", name: "web_search", providerExecuted: true }),
+      )
+      expect(response.text.trim().length).toBeGreaterThan(0)
+    }),
+  60_000,
+)
@@ -3,31 +3,261 @@ import { Effect } from "effect"
 import { CacheHint, LLM, Message } from "../../src/index.js"
 import { LLMClient } from "../../src/route.js"
 import { compileRequest } from "../../src/route/client.js"
-import * as OpenRouter from "../../src/providers/openrouter.js"
+import { OpenRouter } from "../../src/providers/openrouter.js"
 import { it } from "../lib/effect.js"
 import { fixedResponse } from "../lib/http.js"
 import { sseEvents } from "../lib/sse.js"

 describe("OpenRouter", () => {
-  it.effect("prepares OpenRouter models through the OpenAI-compatible Chat route", () =>
+  it.effect("routes OpenAI, xAI, and Meta models through the same namespace-aware Responses protocol", () =>
+    Effect.forEach(["openai/gpt-4o-mini", "x-ai/grok-4.3", "meta/muse-spark-1.3", "~x-ai/grok-latest"], (id) =>
+      Effect.gen(function* () {
+        const model = OpenRouter.configure({
+          apiKey: "test-key",
+          providerOptions: {
+            reasoning: { effort: "low", exclude: true, summary: "detailed" },
+            text: { verbosity: "low", format: { type: "json_schema", name: "result", schema: { type: "object" } } },
+            provider: { allow_fallbacks: false },
+          },
+        }).model(id)
+        const prepared = yield* compileRequest(
+          LLM.request({
+            model,
+            prompt: "Say hello.",
+            tools: [
+              {
+                type: "namespace",
+                name: "crm",
+                tools: [
+                  {
+                    type: "namespace",
+                    name: "contacts",
+                    tools: [
+                      {
+                        name: "lookup",
+                        description: "Look up a contact",
+                        inputSchema: { type: "object", properties: {} },
+                      },
+                    ],
+                  },
+                ],
+              },
+            ],
+          }),
+        )
+
+        expect(model.route.endpoint.baseURL).toBe("https://openrouter.ai/api/v1")
+        expect(prepared.route).toBe("openrouter-responses")
+        expect(model.route.protocol).toBe(OpenRouter.responses("openai/gpt-4o-mini").route.protocol)
+        expect(prepared.body).toMatchObject({
+          model: id,
+          input: [{ role: "user", content: [{ type: "input_text", text: "Say hello." }] }],
+          stream: true,
+          store: false,
+          include: ["reasoning.encrypted_content"],
+          reasoning: { effort: "low", exclude: true, summary: "detailed" },
+          text: { verbosity: "low", format: { type: "json_schema", name: "result", schema: { type: "object" } } },
+          tools: [{ type: "namespace", name: "crm", tools: [{ type: "function", name: "contacts_lookup" }] }],
+          provider: { allow_fallbacks: false },
+        })
+      }),
+    ),
+  )
+
+  it.effect("exposes exactly three API routes and leaves other families on Chat", () =>
    Effect.gen(function* () {
-      const model = OpenRouter.configure({ apiKey: "test-key" }).model("openai/gpt-4o-mini")
+      expect(OpenRouter.routes.map((route) => route.endpoint.path)).toEqual([
+        "/chat/completions",
+        "/responses",
+        "/messages",
+      ])
+      const openrouter = OpenRouter.configure({ apiKey: "test-key" })
+      const chat = openrouter.model("meta-llama/llama-3.3-70b-instruct")
+      expect(chat.route.id).toBe("openrouter")
+      expect(openrouter.model("qwen/qwen3-coder-plus").route.protocol).toBe(chat.route.protocol)
+      expect(openrouter.messages("anthropic/claude-sonnet-4.6").route.id).toBe("openrouter-messages")
+    }),
+  )

-      expect(model).toMatchObject({
-        id: "openai/gpt-4o-mini",
-        provider: "openrouter",
-        route: { id: "openrouter" },
+  it.effect("places default cache breakpoints on tools, system boundaries, and the conversation tail", () =>
+    Effect.gen(function* () {
+      const prepared = yield* compileRequest(
+        LLM.request({
+          model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
+          system: [
+            { type: "text", text: "Base agent" },
+            { type: "text", text: "Model details" },
+            { type: "text", text: "Project instructions" },
+          ],
+          tools: [
+            { name: "read", description: "Read", inputSchema: { type: "object", properties: {} } },
+            { name: "lookup", description: "Lookup", inputSchema: { type: "object", properties: {} } },
+          ],
+          prompt: "Hello",
+        }),
+      )
+
+      expect(prepared.body.tools?.map((tool) => tool.cache_control)).toEqual([undefined, { type: "ephemeral" }])
+      expect(prepared.route).toBe("openrouter-messages")
+      expect(prepared.body.system).toMatchObject([
+        { text: "Base agent", cache_control: { type: "ephemeral" } },
+        { text: "Model details" },
+        { text: "Project instructions", cache_control: { type: "ephemeral" } },
+      ])
+      expect(prepared.body.messages).toMatchObject([
+        { role: "user", content: [{ text: "Hello", cache_control: { type: "ephemeral" } }] },
+      ])
+      expect(prepared.body.system).not.toContainEqual(
+        expect.objectContaining({ text: "Model details", cache_control: expect.anything() }),
+      )
+    }),
+  )
+
+  it.effect("preserves gateway routing and lowers native effort updates without changing the baseline", () =>
+    Effect.gen(function* () {
+      const openrouter = OpenRouter.configure({
+        apiKey: "test-key",
+        providerOptions: { provider: { allow_fallbacks: false }, reasoning: { effort: "low", summary: "detailed" } },
      })
-      expect(model.route.endpoint.baseURL).toBe("https://openrouter.ai/api/v1")
+      const messages = [Message.effort({ previous: "high", effort: "low" }), Message.user("Hello")]
+      const response = yield* compileRequest(LLM.request({ model: openrouter.model("openai/gpt-6.1-sol"), messages }))
+      const message = yield* compileRequest(
+        LLM.request({ model: openrouter.model("anthropic/claude-fable-5.1"), messages }),
+      )

-      const prepared = yield* compileRequest(LLM.request({ model, prompt: "Say hello." }))
+      expect(response.body).toMatchObject({
+        provider: { allow_fallbacks: false },
+        reasoning: { effort: "high", summary: "detailed" },
+        input: [{ type: "configuration_update", reasoning: { effort: "low" } }, { role: "user" }],
+      })
+      expect(message.body).toMatchObject({
+        provider: { allow_fallbacks: false },
+        output_config: { effort: "high" },
+        thinking: { type: "adaptive", block_binding: { prefix_mismatch_behavior: "drop_block" } },
+        messages: [{ role: "system", content: [], output_config: { effort: "low" } }, { role: "user" }],
+      })
+    }),
+  )

-      expect(prepared.route).toBe("openrouter")
-      expect(prepared.body).toMatchObject({
-        model: "openai/gpt-4o-mini",
-        messages: [{ role: "user", content: "Say hello." }],
-        stream: true,
-        usage: { include: true },
+  it.effect("replays saved Chat reasoning details through the native APIs", () =>
+    Effect.gen(function* () {
+      const openrouter = OpenRouter.configure({ apiKey: "test-key" })
+      const message = yield* compileRequest(
+        LLM.request({
+          model: openrouter.model("anthropic/claude-sonnet-4.6"),
+          messages: [
+            Message.assistant({
+              type: "reasoning",
+              text: "AB",
+              providerMetadata: {
+                openrouter: {
+                  reasoningDetails: [
+                    { type: "reasoning.text", text: "A", signature: "first" },
+                    { type: "reasoning.text", text: "B", signature: "second" },
+                  ],
+                },
+              },
+            }),
+          ],
+        }),
+      )
+      const response = yield* compileRequest(
+        LLM.request({
+          model: openrouter.model("meta/muse-spark-1.3"),
+          messages: [
+            Message.assistant({
+              type: "reasoning",
+              text: "Summary",
+              providerMetadata: { openrouter: { reasoningDetails: [{ type: "reasoning.encrypted", data: "opaque" }] } },
+            }),
+          ],
+        }),
+      )
+
+      expect(message.body.messages[0]?.content).toMatchObject([
+        { type: "thinking", thinking: "A", signature: "first" },
+        { type: "thinking", thinking: "B", signature: "second" },
+      ])
+      expect(response.body.input[0]).toMatchObject({ type: "reasoning", encrypted_content: "opaque" })
+    }),
+  )
+
+  it.effect("places default cache breakpoints on OpenRouter latest-model aliases", () =>
+    Effect.gen(function* () {
+      const prepared = yield* compileRequest(
+        LLM.request({
+          model: OpenRouter.configure({ apiKey: "test-key" }).model("~anthropic/claude-sonnet-latest"),
+          system: "Base agent",
+          tools: [{ name: "lookup", description: "Lookup", inputSchema: { type: "object", properties: {} } }],
+          prompt: "Hello",
+        }),
+      )
+
+      expect(prepared.body.tools?.[0]?.cache_control).toEqual({ type: "ephemeral" })
+      expect(prepared.body.system).toMatchObject([{ text: "Base agent", cache_control: { type: "ephemeral" } }])
+      expect(prepared.body.messages).toMatchObject([
+        { role: "user", content: [{ text: "Hello", cache_control: { type: "ephemeral" } }] },
+      ])
+    }),
+  )
+
+  it.effect("skips the tool breakpoint for Qwen, which caches tools with the system prompt", () =>
+    Effect.gen(function* () {
+      const prepared = yield* compileRequest(
+        LLM.request({
+          model: OpenRouter.configure({ apiKey: "test-key" }).model("qwen/qwen3-coder-plus"),
+          system: "Base agent",
+          tools: [{ name: "lookup", description: "Lookup", inputSchema: { type: "object", properties: {} } }],
+          prompt: "Hello",
+        }),
+      )
+
+      expect(prepared.body.tools?.[0]?.cache_control).toBeUndefined()
+      expect(prepared.body.messages).toMatchObject([
+        { role: "system", content: [{ text: "Base agent", cache_control: { type: "ephemeral" } }] },
+        { role: "user", content: [{ text: "Hello", cache_control: { type: "ephemeral" } }] },
+      ])
+    }),
+  )
+
+  it.effect("places the default Qwen conversation-tail breakpoint inside tool-result text", () =>
+    Effect.gen(function* () {
+      const prepared = yield* compileRequest(
+        LLM.request({
+          model: OpenRouter.configure({ apiKey: "test-key" }).model("qwen/qwen3-coder-plus"),
+          messages: [
+            Message.user("Call the tool"),
+            Message.assistant([{ type: "tool-call", id: "call_1", name: "lookup", input: {} }]),
+            Message.tool({ id: "call_1", name: "lookup", result: "Done" }),
+          ],
+        }),
+      )
+
+      expect(prepared.body.messages.at(-1)).toMatchObject({
+        role: "tool",
+        tool_call_id: "call_1",
+        content: [{ type: "text", text: '"Done"', cache_control: { type: "ephemeral" } }],
+      })
+    }),
+  )
+
+  it.effect("sends no default breakpoints to upstreams that cache without them", () =>
+    Effect.gen(function* () {
+      const openrouter = OpenRouter.configure({ apiKey: "test-key" })
+      const bodies = yield* Effect.forEach(["google/gemini-2.5-flash", "openai/gpt-5-mini"], (id) =>
+        compileRequest(
+          LLM.request({
+            model: openrouter.model(id),
+            system: "Base agent",
+            tools: [{ name: "lookup", description: "Lookup", inputSchema: { type: "object", properties: {} } }],
+            prompt: "Hello",
+          }),
+        ).pipe(Effect.map((prepared) => prepared.body)),
+      )
+
+      bodies.forEach((body) => {
+        expect(body.tools?.[0]?.cache_control).toBeUndefined()
+        expect(JSON.stringify(body)).not.toContain("cache_control")
      })
    }),
  )
@@ -49,14 +279,11 @@ describe("OpenRouter", () => {

      expect(prepared.body).toMatchObject({
        tools: [{ cache_control: { type: "ephemeral" } }],
+        system: [
+          { text: "Base agent", cache_control: { type: "ephemeral", ttl: "1h" } },
+          { text: "Project instructions", cache_control: { type: "ephemeral" } },
+        ],
        messages: [
-          {
-            role: "system",
-            content: [
-              { text: "Base agent", cache_control: { type: "ephemeral", ttl: "1h" } },
-              { text: "Project instructions", cache_control: { type: "ephemeral" } },
-            ],
-          },
          {
            role: "user",
            content: [{ text: "Hello", cache_control: { type: "ephemeral" } }],
@@ -70,10 +297,12 @@ describe("OpenRouter", () => {
    Effect.gen(function* () {
      const prepared = yield* compileRequest(
        LLM.request({
-          model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
+          model: OpenRouter.configure({ apiKey: "test-key" }).chat("anthropic/claude-sonnet-4.6"),
          cache: "none",
          messages: [
            Message.user("Call the tool"),
+            Message.assistant("Unmarked reply"),
+            Message.user("Call again"),
            Message.assistant([
              { type: "text", text: "Calling", cache: new CacheHint({ type: "ephemeral" }) },
              { type: "tool-call", id: "call_1", name: "lookup", input: {} },
@@ -90,8 +319,17 @@ describe("OpenRouter", () => {

      expect(prepared.body.messages).toMatchObject([
        { role: "user", content: "Call the tool" },
-        { role: "assistant", content: "Calling", cache_control: { type: "ephemeral" } },
-        { role: "tool", content: '"Done"', cache_control: { type: "ephemeral", ttl: "1h" } },
+        { role: "assistant", content: "Unmarked reply" },
+        { role: "user", content: "Call again" },
+        {
+          role: "assistant",
+          content: [{ type: "text", text: "Calling", cache_control: { type: "ephemeral" } }],
+          tool_calls: [{ id: "call_1", type: "function", function: { name: "lookup", arguments: "{}" } }],
+        },
+        {
+          role: "tool",
+          content: [{ type: "text", text: '"Done"', cache_control: { type: "ephemeral", ttl: "1h" } }],
+        },
      ])
    }),
  )
@@ -108,21 +346,15 @@ describe("OpenRouter", () => {
        }),
      )

-      const system = prepared.body.messages[0]
-      expect(system?.role).toBe("system")
-      expect(
-        system && Array.isArray(system.content)
-          ? system.content.filter((part) => "cache_control" in part && part.cache_control !== undefined)
-          : [],
-      ).toHaveLength(4)
+      expect(prepared.body.system?.filter((part) => part.cache_control !== undefined)).toHaveLength(4)
    }),
  )

-  it.effect("preserves cache policy hints on reasoning-only assistant messages", () =>
+  it.effect("does not emit text cache markers on reasoning-only assistant messages", () =>
    Effect.gen(function* () {
      const prepared = yield* compileRequest(
        LLM.request({
-          model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
+          model: OpenRouter.configure({ apiKey: "test-key" }).chat("anthropic/claude-sonnet-4.6"),
          cache: { messages: "latest-assistant" },
          messages: [Message.user("Think"), Message.assistant([{ type: "reasoning", text: "Reasoning" }])],
        }),
@@ -130,8 +362,38 @@ describe("OpenRouter", () => {

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

@@ -142,7 +404,7 @@ describe("OpenRouter", () => {
          model: OpenRouter.configure({
            apiKey: "test-key",
            providerOptions: { usage: false },
-          }).model("openai/gpt-4o-mini"),
+          }).chat("openai/gpt-4o-mini"),
          cache: "none",
          prompt: "Hello",
        }),
@@ -190,7 +452,7 @@ describe("OpenRouter", () => {
              user: "user_123",
              future_option: { enabled: true },
            },
-          }).model("anthropic/claude-3.7-sonnet:thinking"),
+          }).chat("anthropic/claude-3.7-sonnet:thinking"),
          prompt: "Think briefly.",
          promptCacheKey: "session_123",
        }),
@@ -265,7 +527,7 @@ describe("OpenRouter", () => {

  it.effect("preserves the upstream provider finish reason", () =>
    Effect.gen(function* () {
-      const model = OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6")
+      const model = OpenRouter.configure({ apiKey: "test-key" }).chat("anthropic/claude-sonnet-4.6")
      const response = yield* LLMClient.generate(LLM.request({ model, prompt: "Say hello." })).pipe(
        Effect.provide(
          fixedResponse(
@@ -282,7 +544,7 @@ describe("OpenRouter", () => {

  it.effect("fails on a mid-stream provider error", () =>
    Effect.gen(function* () {
-      const model = OpenRouter.configure({ apiKey: "test-key" }).model("openai/gpt-4o-mini")
+      const model = OpenRouter.configure({ apiKey: "test-key" }).chat("openai/gpt-4o-mini")
      const error = yield* LLMClient.generate(LLM.request({ model, prompt: "Say hello." })).pipe(
        Effect.provide(
          fixedResponse(
@@ -309,7 +571,7 @@ describe("OpenRouter", () => {
      ]
      const prepared = yield* compileRequest(
        LLM.request({
-          model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
+          model: OpenRouter.configure({ apiKey: "test-key" }).chat("anthropic/claude-sonnet-4.6"),
          cache: "none",
          messages: [
            Message.assistant([
@@ -344,7 +606,7 @@ describe("OpenRouter", () => {
      ]
      const prepared = yield* compileRequest(
        LLM.request({
-          model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
+          model: OpenRouter.configure({ apiKey: "test-key" }).chat("anthropic/claude-sonnet-4.6"),
          cache: "none",
          messages: [
            Message.assistant({
@@ -385,7 +647,7 @@ describe("OpenRouter", () => {
      ]
      const prepared = yield* compileRequest(
        LLM.request({
-          model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
+          model: OpenRouter.configure({ apiKey: "test-key" }).chat("anthropic/claude-sonnet-4.6"),
          cache: "none",
          messages: [
            Message.assistant({
@@ -414,7 +676,7 @@ describe("OpenRouter", () => {
    Effect.gen(function* () {
      const prepared = yield* compileRequest(
        LLM.request({
-          model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
+          model: OpenRouter.configure({ apiKey: "test-key" }).chat("anthropic/claude-sonnet-4.6"),
          cache: "none",
          messages: [Message.assistant({ type: "reasoning", text: "Thinking" })],
        }),
@@ -4,9 +4,9 @@ import { For, Show } from "solid-js"
 import { createStore } from "solid-js/store"
 import { Portal, render } from "solid-js/web"
 import { LanguageProvider, UiI18nBridge } from "../src/runtime/i18n/language"
-import type { BrowserPaneLayout, BrowserPaneRegistration } from "../src/runtime/platform/browser-pane"
+import type { BrowserPaneEvent, BrowserPaneLayout, BrowserPaneRegistration } from "../src/runtime/platform/browser-pane"
 import type { createSessionBrowser } from "../src/session/browser/model"
-import { SessionBrowserPane } from "../src/session/browser/pane"
+import { SessionBrowserPane, type SessionBrowserComment } from "../src/session/browser/pane"

 export function mountBrowserPane() {
  const host = document.createElement("main")
@@ -30,9 +30,15 @@ export function mountBrowserPane() {
      covered: false,
      captures: 0,
      holdCapture: false,
+      picker: {} as Record<string, boolean | undefined>,
+      highlights: [] as string[],
+      comments: [] as SessionBrowserComment[],
    })
    // Each capture waits until the fixture releases it, so a spec can observe the pending state.
    const held: (() => void)[] = []
+    const inspectors = new Set<(event: Extract<BrowserPaneEvent, { type: "inspect" }>) => void>()
+    const emitInspect = (event: Extract<BrowserPaneEvent, { type: "inspect" }>) =>
+      inspectors.forEach((listener) => listener(event))
    const tabs = ["Alpha", "Beta"].map((name) => ({
      id: Browser.TabID.make(`tab_${name === "Alpha" ? "11111111" : "22222222"}-1111-1111-1111-111111111111`),
      title: name,
@@ -60,6 +66,12 @@ export function mountBrowserPane() {
            }
            return canvas.convertToBlob()
          },
+          // The desktop confirms each picker change, as the page does once inspect mode is armed.
+          inspect: (tabID, enabled) => {
+            setStore("picker", tab.title, enabled)
+            emitInspect({ type: "inspect", tabID, active: enabled })
+          },
+          highlight: (_tabID, ref) => setStore("highlights", (items) => [...items, ref ?? "clear"]),
          close: () => undefined,
        },
      ]),
@@ -97,7 +109,26 @@ export function mountBrowserPane() {
        }
        if (command.type === "stop") setStore("loading", false)
      },
+      onInspect: (listener) => {
+        inspectors.add(listener)
+        return () => inspectors.delete(listener)
+      },
+      reveal: () => undefined,
    }
+    const pick = () =>
+      emitInspect({
+        type: "inspect",
+        tabID: browser.active().id,
+        active: false,
+        element: {
+          ref: Browser.Ref.make("e7"),
+          selector: "main > button.primary",
+          label: "button.primary",
+          role: "button",
+          name: "Save changes",
+          rect: { x: 48, y: 40, width: 160, height: 36 },
+        },
+      })
    return (
      <>
        <h1 style={{ "font-size": "24px", "margin-bottom": "16px" }}>Browser pane lifecycle</h1>
@@ -137,13 +168,30 @@ export function mountBrowserPane() {
          <button onClick={() => setStore("holdCapture", true)}>Hold capture</button>
          <button onClick={() => held.splice(0).forEach((resolve) => resolve())}>Release capture</button>
          <button onClick={() => setStore("covered", (covered) => !covered)}>Toggle popover</button>
+          <button onClick={pick}>Pick element</button>
        </nav>
        <p>Captures: {store.captures}</p>
+        <p>Picker: {store.picker[store.session] ? "on" : "off"}</p>
+        <p>Highlights: {store.highlights.join(",")}</p>
        <div style={{ position: "relative", width: "640px", height: "360px", border: "1px solid #555" }}>
          <Show when={store.mounted}>
-            <SessionBrowserPane browser={browser} visible={store.visible} />
+            <SessionBrowserPane
+              browser={browser}
+              visible={store.visible}
+              onComment={(comment) => setStore("comments", (items) => [...items, comment])}
+            />
          </Show>
        </div>
+        <ul data-testid="fixture-comments">
+          <For each={store.comments}>
+            {(comment) => (
+              <li>
+                {comment.element.label} {comment.element.ref ? `@${comment.element.ref}` : "(no ref)"}:{" "}
+                {comment.comment}
+              </li>
+            )}
+          </For>
+        </ul>
        <Show when={store.covered}>
          {/* Floating content portals into <body> like a menu or hover card over the page. */}
          <Portal mount={document.body}>
@@ -79,6 +79,81 @@ story("keeps a still of the page under floating content that covers it", async (
  await expect(root.getByText("Captures: 1", { exact: true })).toBeVisible()
 })

+story("comments on a picked element over a still of the page", async ({ page }, testInfo) => {
+  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(picker).toHaveAttribute("aria-pressed", "true")
+  await expect(root.getByText("Picker: on", { exact: true })).toBeVisible()
+
+  await root.getByRole("button", { name: "Pick element", exact: true }).click()
+  await expect(picker).toHaveAttribute("aria-pressed", "false")
+  const editor = root.locator('[data-slot="browser-comment-editor"] textarea')
+  await expect(editor).toBeFocused()
+  await expect(root.locator('[data-slot="browser-comment-editor"]')).toContainText("button.primary")
+  // The native page hides behind its still so the editor can float over it.
+  await expect(root.getByTestId("native-Alpha")).toHaveAttribute("data-visible", "false")
+  await expect(root.locator("#browser-panel img")).toBeVisible()
+  await page.screenshot({ path: testInfo.outputPath("comment.png") })
+
+  await editor.fill("Make this the primary colour")
+  await editor.press("Enter")
+  await expect(root.getByTestId("fixture-comments")).toHaveText("button.primary @e7: Make this the primary colour")
+  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")
+})
+
+story("cancels the picker and a comment with Escape", 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(picker).toHaveAttribute("aria-pressed", "true")
+  await page.keyboard.press("Escape")
+  await expect(picker).toHaveAttribute("aria-pressed", "false")
+  await expect(root.getByText("Picker: off", { exact: true })).toBeVisible()
+
+  await picker.click()
+  await root.getByRole("button", { name: "Pick element", exact: true }).click()
+  const editor = root.locator('[data-slot="browser-comment-editor"] textarea')
+  await expect(editor).toBeFocused()
+  await editor.press("Escape")
+  await expect(root.locator('[data-component="browser-comment"]')).toHaveCount(0)
+  await expect(root.getByTestId("fixture-comments")).toHaveText("")
+  await expect(root.getByTestId("native-Alpha")).toHaveAttribute("data-visible", "true")
+})
+
+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()
+  await root.getByRole("button", { name: "Pick element", exact: true }).click()
+  const editor = root.locator('[data-slot="browser-comment-editor"] textarea')
+  await editor.fill("Still misaligned after the reload")
+  await root.getByRole("button", { name: "Load current page", exact: true }).click()
+  await expect(editor).toHaveValue("Still misaligned after the reload")
+  await editor.press("Enter")
+  await expect(root.getByTestId("fixture-comments")).toHaveText(
+    "button.primary (no ref): Still misaligned after the reload",
+  )
+})
+
+story("keeps the comment editor and its actions inside the page", async ({ page }) => {
+  const root = page.getByTestId("browser-pane-fixture")
+  await root.getByRole("button", { name: "Select an element to comment on", exact: true }).click()
+  await root.getByRole("button", { name: "Pick element", exact: true }).click()
+  const editor = root.locator('[data-slot="browser-comment-editor"]')
+  // As if the user dragged the textarea's resize handle far past the page.
+  await editor.locator("textarea").evaluate((element) => {
+    element.style.height = "900px"
+  })
+  const surface = await root.locator('[data-component="browser-comment"]').boundingBox()
+  const box = await editor.boundingBox()
+  expect(surface && box && box.y + box.height <= surface.y + surface.height).toBe(true)
+  const submit = editor.getByRole("button", { name: "Comment", exact: true })
+  await submit.scrollIntoViewIfNeeded()
+  await expect(submit).toBeInViewport()
+})
+
 story("shows the empty state over a blank native page and restores navigation", async ({ page }) => {
  const root = page.getByTestId("browser-pane-fixture")
  await root.getByRole("button", { name: "Blank page", exact: true }).click()
@@ -186,11 +186,17 @@ for (const scenario of scenarios) {
                const toolTitle = element
                  .closest('[data-component="edit-tool"]')
                  ?.querySelector('[data-slot="collapsible-trigger"][data-locked]')
-                const top = viewport.getBoundingClientRect().top + (title?.getBoundingClientRect().height ?? 0)
+                // Grouped file headers stack below the stuck Used header.
+                const group = element
+                  .closest('[data-component="collapsed-tool-group"]')
+                  ?.querySelector(':scope > [data-component="collapsible"] > [data-slot="collapsible-trigger"]')
+                const sessionTop = viewport.getBoundingClientRect().top + (title?.getBoundingClientRect().height ?? 0)
+                const top = sessionTop + (group?.getBoundingClientRect().height ?? 0)
                const rect = element.getBoundingClientRect()
                const trigger = element.querySelector("button")!
                return {
                  gap: Math.abs(rect.top - top - (toolTitle?.getBoundingClientRect().height ?? 0)),
+                  groupGap: group ? Math.abs(group.getBoundingClientRect().top - sessionTop) : 0,
                  titleGap: toolTitle ? Math.abs(toolTitle.getBoundingClientRect().top - top) : 0,
                  clickable: trigger.contains(
                    document.elementFromPoint(rect.left + rect.width / 2, rect.top + rect.height / 2),
@@ -198,7 +204,7 @@ for (const scenario of scenarios) {
                }
              }),
            )
-            .toEqual({ gap: 0, titleGap: 0, clickable: true })
+            .toEqual({ gap: 0, groupGap: 0, titleGap: 0, clickable: true })
          await page.screenshot({ path: info.outputPath(`${file}.png`) })
        }

@@ -0,0 +1,43 @@
+import { expect, test } from "@playwright/test"
+import { base64Encode } from "@opencode/util/encode"
+import {
+  assistantMessage,
+  session,
+  setupTimeline,
+  textPart,
+  userMessage,
+} from "../performance/timeline-stability/fixture"
+
+const target = "ses_0123456789abcdefghijklmnop"
+const missing = "ses_abcdefghijklmnopqrstuvwxyz"
+const server = `http://${process.env.PLAYWRIGHT_SERVER_HOST ?? "127.0.0.1"}:${process.env.PLAYWRIGHT_SERVER_PORT ?? "4096"}`
+
+test("opens a verified session from agent prose or inline code with the keyboard", async ({ page }) => {
+  await setupTimeline(page, {
+    sessions: [session(), session({ id: target, title: "Linked session" })],
+    messages: [
+      userMessage(),
+      assistantMessage([textPart("prt_session_links", `Visit ${target} or \`${target}\` to see the result.`)]),
+    ],
+  })
+  const markdown = page.locator('[data-component="markdown"]').filter({ hasText: `Visit ${target}` })
+  await expect(markdown).toHaveAttribute("data-markdown-ready", "")
+  await expect(markdown.getByRole("button", { name: target })).toHaveCount(2)
+  await markdown
+    .getByRole("button", { name: target })
+    .filter({ has: page.locator("code") })
+    .press("Enter")
+  await expect(page).toHaveURL(`/server/${base64Encode(server)}/session/${target}`)
+  await expect(page.locator(`[data-titlebar-tab-link][href$="/session/${target}"]`)).toContainText("Linked session")
+})
+
+test("does not navigate to an ID that is absent from the current server", async ({ page }) => {
+  await setupTimeline(page, {
+    messages: [userMessage(), assistantMessage([textPart("prt_session_missing", `See ${missing}.`)])],
+  })
+  const markdown = page.locator('[data-component="markdown"]').filter({ hasText: `See ${missing}.` })
+  await expect(markdown).toHaveAttribute("data-markdown-ready", "")
+  await markdown.getByRole("button", { name: missing }).click()
+  await expect(page.getByText("This session cannot be found")).toBeVisible()
+  await expect(page).toHaveURL(/\/session\/ses_timeline_stability$/)
+})
@@ -1,6 +1,6 @@
 {
  "name": "@opencode/app",
-  "version": "2.0.19",
+  "version": "2.0.20",
  "description": "",
  "type": "module",
  "exports": {
@@ -30,6 +30,10 @@ export type ComposerControls = {
      opened: () => boolean
      open: () => void
    }
+    /** Present in sessions with a desktop browser pane. */
+    browser?: {
+      reveal: (tabID: string, ref?: string) => void
+    }
  }
 }

@@ -0,0 +1,41 @@
+import { describe, expect, test } from "bun:test"
+import { commentContextItem, formatBrowserCommentNote, readPromptPresentation } from "./comment-note"
+
+const browser = {
+  type: "browser" as const,
+  tabID: "tab_00000000-0000-4000-8000-000000000000",
+  url: "http://localhost:5173/",
+  element: { ref: "e42", selector: "#save", label: "button#save" },
+  comment: "Rename this",
+}
+
+describe("browser element comments", () => {
+  test("read from message metadata beside file comments and skip malformed entries", () => {
+    const value = readPromptPresentation({
+      displayText: "hi",
+      comments: [browser, { ...browser, element: { label: "button" } }, { path: "src/app.ts", comment: "Keep" }],
+    })
+    expect(value?.comments).toEqual([browser, { path: "src/app.ts", comment: "Keep" }])
+  })
+
+  test("explain a selector that crosses into a shadow root", () => {
+    expect(
+      formatBrowserCommentNote({ ...browser, element: { ...browser.element, selector: "#card >>> div > button" } }),
+    ).toContain('selector "#card >>> div > button" (">>>" enters a shadow root)')
+    expect(formatBrowserCommentNote(browser)).not.toContain("shadow root")
+  })
+
+  test("leave out a selector that was too long to keep", () => {
+    expect(formatBrowserCommentNote({ ...browser, element: { ...browser.element, selector: "" } })).toBe(
+      'The user made the following comment regarding the "button#save" element in browser tab tab_00000000-0000-4000-8000-000000000000 at http://localhost:5173/ (browser ref @e42, usable as ref in any browser tool including browser.evaluate until the page navigates): Rename this',
+    )
+  })
+
+  test("return to the composer without their element ref", () => {
+    expect(commentContextItem(browser)).toEqual({
+      ...browser,
+      element: { selector: "#save", label: "button#save" },
+      commentID: expect.any(String),
+    })
+  })
+})
@@ -1,12 +1,18 @@
+import { Option, Schema } from "effect"
 import type { FileSelection } from "@/workspaces/files/model"
+import { BrowserComment, durableBrowserElement, type ContextItem } from "./schema"

-export type PromptComment = {
+export type PromptFileComment = {
+  type?: "file"
  path: string
  selection?: FileSelection
  comment: string
  preview?: string
  origin?: "review" | "file"
 }
+export type PromptComment = PromptFileComment | BrowserComment
+
+const decodeBrowserComment = Schema.decodeUnknownOption(BrowserComment)

 /** An attachment the model receives as a path on the server rather than inline bytes. */
 export type PromptAttachmentReference = {
@@ -30,7 +36,7 @@ function selection(selection: unknown) {
  } satisfies FileSelection
 }

-export function createCommentMetadata(input: PromptComment) {
+export function createCommentMetadata(input: PromptFileComment) {
  return {
    opencodeComment: {
      path: input.path,
@@ -78,6 +84,7 @@ export function readPromptPresentation(value: unknown) {
    }),
    comments: comments.flatMap((item): PromptComment[] => {
      if (!item || typeof item !== "object") return []
+      if ((item as { type?: unknown }).type === "browser") return Option.toArray(decodeBrowserComment(item))
      const path = (item as { path?: unknown }).path
      const comment = (item as { comment?: unknown }).comment
      if (typeof path !== "string" || typeof comment !== "string") return []
@@ -100,6 +107,39 @@ export function formatAttachmentReference(input: PromptAttachmentReference) {
  return `Attached file: \`${input.path}\``
 }

+export function formatBrowserCommentNote(input: BrowserComment) {
+  const element = input.element
+  // Page-provided strings are quoted so they read as data, not as part of the user's request.
+  const details = [
+    element.role ? `role ${element.role}` : undefined,
+    element.name ? `accessible name ${JSON.stringify(element.name)}` : undefined,
+    element.text && element.text !== element.name ? `text ${JSON.stringify(element.text.slice(0, 80))}` : undefined,
+    // A selector too long to keep is empty rather than cut into invalid syntax.
+    element.selector
+      ? `selector ${JSON.stringify(element.selector)}${element.selector.includes(" >>> ") ? ' (">>>" enters a shadow root)' : ""}`
+      : undefined,
+    element.ref
+      ? `browser ref @${element.ref}, usable as ref in any browser tool including browser.evaluate until the page navigates`
+      : undefined,
+  ].filter((detail) => detail !== undefined)
+  return `The user made the following comment regarding the ${JSON.stringify(element.label)} element in browser tab ${input.tabID} at ${input.url}${details.length ? ` (${details.join("; ")})` : ""}: ${input.comment}`
+}
+
+/** Restores a sent comment to the composer, for example after a revert or fork. */
+export function commentContextItem(comment: PromptComment): ContextItem {
+  // The message may predate the desktop process, so its element ref can no longer be trusted.
+  if (comment.type === "browser")
+    return { ...comment, element: durableBrowserElement(comment.element), commentID: crypto.randomUUID() }
+  return {
+    type: "file",
+    path: comment.path,
+    selection: comment.selection,
+    comment: comment.comment,
+    preview: comment.preview,
+    commentOrigin: comment.origin,
+  }
+}
+
 export function formatCommentNote(input: { path: string; selection?: FileSelection; comment: string }) {
  const start = input.selection ? Math.min(input.selection.startLine, input.selection.endLine) : undefined
  const end = input.selection ? Math.max(input.selection.startLine, input.selection.endLine) : undefined
@@ -279,6 +279,39 @@ export const MixedAttachments = {
  ),
 }

+export const BrowserElementComment = {
+  render: () => (
+    <ComposerStory
+      prompt={text("Tidy up the settings page")}
+      comments={[
+        {
+          type: "browser",
+          key: "browser:tab_story:c=save",
+          tabID: "tab_00000000-0000-4000-8000-000000000000",
+          url: "http://localhost:5173/settings",
+          title: "Settings",
+          element: {
+            ref: "e42",
+            selector: "#settings > form > button.btn.primary",
+            label: "button.btn.primary",
+            role: "button",
+            name: "Save changes",
+          },
+          comment: "Match the secondary button height",
+          commentID: "save",
+        },
+        {
+          type: "file",
+          key: "comment:src/app.tsx",
+          path: "src/app.tsx",
+          selection: { startLine: 12, startChar: 0, endLine: 14, endChar: 0 },
+          comment: "Keep the normal flow flat",
+        },
+      ]}
+    />
+  ),
+}
+
 export const ModelAndVariant = { render: () => <ComposerStory prompt={text("Compare both variants")} /> }

 export const SlashSuggestions = { render: () => <ComposerStory suggestions="command" /> }
@@ -533,8 +533,11 @@ export function ComposerAttachments(props: {
                >
                  <CommentCard
                    comment={comment.comment ?? ""}
-                    path={comment.path}
-                    selection={comment.selection}
+                    target={
+                      comment.type === "browser"
+                        ? { type: "browser", element: comment.element.label }
+                        : { type: "file", path: comment.path, selection: comment.selection }
+                    }
                    active={comment.key === props.activeCommentID}
                    onClick={() => props.onCommentClick?.(comment)}
                  />
@@ -98,7 +98,7 @@ export function createComposerModel(adapter: ComposerAdapter, options?: { queue?
    const byID = new Map(comments.all().map((item) => [`${item.file}\n${item.id}`, item] as const))
    return prompt.context.items().flatMap((item) => {
      const comment = item.comment?.trim()
-      if (!comment) return []
+      if (!comment || item.type !== "file") return []
      const selection = item.commentID ? byID.get(`${item.path}\n${item.commentID}`)?.selection : undefined
      const nextSelection =
        selection ??
@@ -129,9 +129,11 @@ export function createComposerModel(adapter: ComposerAdapter, options?: { queue?
        time: item.time,
      })),
    )
-    prompt.context.replaceComments(
-      items.map((item) => ({
-        type: "file",
+    // History records file comments only; browser comments stay with the draft while it is browsed.
+    prompt.context.replaceComments([
+      ...prompt.context.items().filter((item) => item.type === "browser"),
+      ...items.map((item) => ({
+        type: "file" as const,
        path: item.path,
        selection: selectionFromLines(item.selection),
        comment: item.comment,
@@ -139,7 +141,7 @@ export function createComposerModel(adapter: ComposerAdapter, options?: { queue?
        commentOrigin: item.origin,
        preview: item.preview,
      })),
-    )
+    ])
  }

  const referenceDescription = (reference: ReferenceInfo) =>
@@ -298,7 +300,7 @@ export function createComposerModel(adapter: ComposerAdapter, options?: { queue?
        mention: { type: "file", path, content: `@${path}`, start: 0, end: 0 },
      })),
    onContextRemove(item) {
-      if (item?.commentID) comments.remove(item.path, item.commentID)
+      if (item.type === "file" && item.commentID) comments.remove(item.path, item.commentID)
    },
    openAttachment: (attachment) => {
      if (attachment.type !== "image") return
@@ -308,6 +310,10 @@ export function createComposerModel(adapter: ComposerAdapter, options?: { queue?
    },
    openContext(key) {
      const item = controller.contextItem(key)
+      if (item?.type === "browser") {
+        adapter.controls().session.browser?.reveal(item.tabID, item.element.ref)
+        return
+      }
      if (item) openComment(item, adapter.controls(), layout, files, comments)
    },
    onEditor(element) {
@@ -28,6 +28,7 @@ export {
 } from "./state"
 export type {
  AgentPart,
+  BrowserContextItem,
  ContentPart,
  ContextItem,
  FileAttachmentPart,
@@ -160,7 +161,7 @@ export const { use: useComposerState, provider: ComposerPersistenceProvider } =
        removeComment: (path: string, commentID: string) => session().context.removeComment(path, commentID),
        updateComment: (path: string, commentID: string, next: Partial<FileContextItem> & { comment?: string }) =>
          session().context.updateComment(path, commentID, next),
-        replaceComments: (items: FileContextItem[]) => session().context.replaceComments(items),
+        replaceComments: (items: ContextItem[]) => session().context.replaceComments(items),
      },
      set: (prompt: Prompt, cursorPosition?: number, scope?: PromptScope) => pick(scope).set(prompt, cursorPosition),
      reset: (scope?: PromptScope) => pick(scope).reset(),
@@ -144,6 +144,57 @@ describe("buildPromptRequest", () => {
    expect(result.files.some((file) => file.uri === "file:///repo/src/shared.ts")).toBe(true)
  })

+  test("sends a browser element comment as a note the browser tools can act on", () => {
+    const result = buildPromptRequest({
+      prompt: [{ type: "text", content: "tidy up", start: 0, end: 7 }],
+      context: [
+        {
+          key: "browser:tab:c=1",
+          type: "browser",
+          tabID: "tab_00000000-0000-4000-8000-000000000000",
+          url: "http://localhost:5173/settings",
+          title: "Settings",
+          element: {
+            ref: "e42",
+            selector: "#settings > button.primary",
+            label: "button.primary",
+            role: "button",
+            name: "Save",
+            text: "Save",
+          },
+          comment: "Match @src/button.css",
+          commentID: "1",
+        },
+      ],
+      images: [],
+      text: "tidy up",
+      sessionDirectory: "/repo",
+    })
+
+    expect(result.text).toBe(
+      'tidy up\nThe user made the following comment regarding the "button.primary" element in browser tab tab_00000000-0000-4000-8000-000000000000 at http://localhost:5173/settings (role button; accessible name "Save"; selector "#settings > button.primary"; browser ref @e42, usable as ref in any browser tool including browser.evaluate until the page navigates): Match @src/button.css',
+    )
+    expect(result.comments).toEqual([
+      {
+        type: "browser",
+        tabID: "tab_00000000-0000-4000-8000-000000000000",
+        url: "http://localhost:5173/settings",
+        title: "Settings",
+        element: {
+          ref: "e42",
+          selector: "#settings > button.primary",
+          label: "button.primary",
+          role: "button",
+          name: "Save",
+          text: "Save",
+        },
+        comment: "Match @src/button.css",
+      },
+    ])
+    // A browser comment has no file of its own; only files it mentions are attached.
+    expect(result.files).toEqual([{ uri: "file:///repo/src/button.css", mime: "text/plain", name: "button.css" }])
+  })
+
  test("handles Windows paths correctly (simulated on macOS)", () => {
    const prompt: Prompt = [{ type: "file", path: "src\\foo.ts", content: "@src\\foo.ts", start: 0, end: 11 }]

@@ -1,9 +1,18 @@
 import { getFilename } from "@opencode/util/path"
 import type { FileSelection } from "@/workspaces/files/model"
 import { encodeFilePath } from "@/workspaces/files/path"
-import type { AgentPart, FileAttachmentPart, ImageAttachmentPart, PathAttachmentPart, Prompt, SkillPart } from "@/composer/state"
+import type {
+  AgentPart,
+  ContextItem,
+  FileAttachmentPart,
+  ImageAttachmentPart,
+  PathAttachmentPart,
+  Prompt,
+  SkillPart,
+} from "@/composer/state"
 import {
  formatAttachmentReference,
+  formatBrowserCommentNote,
  formatCommentNote,
  type PromptAttachmentReference,
  type PromptComment,
@@ -20,20 +29,9 @@ type PromptRequest = {
  attachments: PromptAttachmentReference[]
 }

-type ContextFile = {
-  key: string
-  type: "file"
-  path: string
-  selection?: FileSelection
-  comment?: string
-  commentID?: string
-  commentOrigin?: "review" | "file"
-  preview?: string
-}
-
 type BuildPromptRequestInput = {
  prompt: Prompt
-  context: ContextFile[]
+  context: (ContextItem & { key: string })[]
  images: (Omit<ImageAttachmentPart, "blob"> & { dataUrl: string })[]
  text: string
  sessionDirectory: string
@@ -87,7 +85,27 @@ export function buildPromptRequest(input: BuildPromptRequestInput): PromptReques

  const used = new Set(files.map((file) => file.uri))
  const comments: PromptComment[] = []
+  const mentioned = (comment: string) =>
+    parseCommentMentions(comment).flatMap((path) => {
+      const uri = `file://${encodeFilePath(absolute(input.sessionDirectory, path))}`
+      if (used.has(uri)) return []
+      used.add(uri)
+      return [{ uri, mime: "text/plain", name: getFilename(path) }]
+    })
  const context = input.context.flatMap((item) => {
+    if (item.type === "browser") {
+      const comment = item.comment.trim()
+      if (!comment) return []
+      comments.push({
+        type: "browser",
+        tabID: item.tabID,
+        url: item.url,
+        ...(item.title ? { title: item.title } : {}),
+        element: { ...item.element },
+        comment,
+      })
+      return mentioned(comment)
+    }
    const path = absolute(input.sessionDirectory, item.path)
    const uri = `file://${encodeFilePath(path)}${fileQuery(item.selection)}`
    const comment = item.comment?.trim()
@@ -104,13 +122,7 @@ export function buildPromptRequest(input: BuildPromptRequestInput): PromptReques
      preview: item.preview,
      origin: item.commentOrigin,
    })
-    const mentions = parseCommentMentions(comment).flatMap((path) => {
-      const uri = `file://${encodeFilePath(absolute(input.sessionDirectory, path))}`
-      if (used.has(uri)) return []
-      used.add(uri)
-      return [{ uri, mime: "text/plain", name: getFilename(path) }]
-    })
-    return [file, ...mentions]
+    return [file, ...mentioned(comment)]
  })

  const inline = input.images.map((attachment) => ({
@@ -127,7 +139,9 @@ export function buildPromptRequest(input: BuildPromptRequestInput): PromptReques
    text: [
      ...(input.text.trim() ? [input.text] : []),
      ...attachments.map(formatAttachmentReference),
-      ...comments.map(formatCommentNote),
+      ...comments.map((comment) =>
+        comment.type === "browser" ? formatBrowserCommentNote(comment) : formatCommentNote(comment),
+      ),
    ].join("\n"),
    displayText: input.text,
    files: [...files, ...context, ...inline],
@@ -53,6 +53,28 @@ describe("composer persistence schemas", () => {
    expect(decode({}).prompt).toEqual(DEFAULT_PROMPT)
  })

+  test("restores browser element comments without the process-bound element ref", () => {
+    const decode = Schema.decodeUnknownSync(
+      Persistence.withInitial(ComposerStore, { prompt: DEFAULT_PROMPT, context: { items: [] } }),
+    )
+    const browser = {
+      type: "browser" as const,
+      tabID: "tab_00000000-0000-4000-8000-000000000000",
+      url: "http://localhost:5173/",
+      element: { ref: "e42", selector: "#save", label: "button#save", role: 42 },
+      comment: "Rename this",
+      commentID: "note",
+    }
+    const value = decode({ context: { items: [browser, { ...browser, url: null }] } })
+    expect(value.context.items).toEqual([
+      {
+        ...browser,
+        element: { selector: "#save", label: "button#save" },
+        key: "browser:tab_00000000-0000-4000-8000-000000000000:c=note",
+      },
+    ])
+  })
+
  test("drops invalid parts without losing valid mentions or optional field recovery", () => {
    const value = Schema.decodeUnknownSync(
      Persistence.withInitial(ComposerStore, { prompt: DEFAULT_PROMPT, context: { items: [] } }),
@@ -134,9 +134,49 @@ export const FileContextItem = Persistence.struct({
  preview: Persistence.optional(Schema.String),
 })
 export type FileContextItem = typeof FileContextItem.Type
-export type ContextItem = FileContextItem
+
+/** An element the user picked in a desktop browser tab. The ref is valid until the page navigates. */
+export const BrowserElement = Persistence.struct({
+  ref: Persistence.optional(Schema.String),
+  selector: Schema.String,
+  label: Schema.String,
+  role: Persistence.optional(Schema.String),
+  name: Persistence.optional(Schema.String),
+  text: Persistence.optional(Schema.String),
+})
+export type BrowserElement = typeof BrowserElement.Type
+
+/**
+ * A ref names an element only inside the desktop process that picked it; a later process can hand
+ * the same ref to another element. Anything that may outlive the pick keeps the description only.
+ */
+export function durableBrowserElement(element: BrowserElement): BrowserElement {
+  return {
+    selector: element.selector,
+    label: element.label,
+    ...(element.role ? { role: element.role } : {}),
+    ...(element.name ? { name: element.name } : {}),
+    ...(element.text ? { text: element.text } : {}),
+  }
+}
+
+const BrowserCommentFields = {
+  type: Schema.Literal("browser"),
+  tabID: Schema.String,
+  url: Schema.String,
+  title: Persistence.optional(Schema.String),
+  element: BrowserElement,
+  comment: Schema.String,
+}
+/** A comment on a browser element as sent in message metadata. */
+export const BrowserComment = Persistence.struct(BrowserCommentFields)
+export type BrowserComment = typeof BrowserComment.Type
+export const BrowserContextItem = Persistence.struct({ ...BrowserCommentFields, commentID: Schema.String })
+export type BrowserContextItem = typeof BrowserContextItem.Type
+export type ContextItem = FileContextItem | BrowserContextItem

 export function contextItemKey(item: ContextItem) {
+  if (item.type === "browser") return `browser:${item.tabID}:c=${item.commentID}`
  const key = `${item.type}:${item.path}:${item.selection?.startLine}:${item.selection?.endLine}`
  if (item.commentID) return `${key}:c=${item.commentID}`
  const comment = item.comment?.trim()
@@ -145,12 +185,27 @@ export function contextItemKey(item: ContextItem) {
  return `${key}:c=${digest.slice(0, 8)}`
 }

-const ContextEntry = Schema.Struct({ ...FileContextItem.fields, key: Persistence.optional(Schema.String) }).pipe(
+const FileContextEntry = Schema.Struct({ ...FileContextItem.fields, key: Persistence.optional(Schema.String) }).pipe(
  Schema.decodeTo(Persistence.struct({ ...FileContextItem.fields, key: Schema.String }).pipe(Schema.toType), {
    decode: SchemaGetter.transform((item) => ({ ...item, key: contextItemKey(item) })),
    encode: SchemaGetter.transform((item) => item),
  }),
 )
+const BrowserContextEntry = Schema.Struct({
+  ...BrowserContextItem.fields,
+  key: Persistence.optional(Schema.String),
+}).pipe(
+  Schema.decodeTo(Persistence.struct({ ...BrowserContextItem.fields, key: Schema.String }).pipe(Schema.toType), {
+    // A stored draft can outlive the desktop process that picked the element.
+    decode: SchemaGetter.transform((item) => ({
+      ...item,
+      element: durableBrowserElement(item.element),
+      key: contextItemKey(item),
+    })),
+    encode: SchemaGetter.transform((item) => item),
+  }),
+)
+const ContextEntry = Schema.Union([FileContextEntry, BrowserContextEntry])

 export const DEFAULT_PROMPT: Prompt = [{ type: "text", content: "", start: 0, end: 0 }]

@@ -12,7 +12,11 @@ import { cycleModelVariant, getConfiguredAgentVariant, resolveModelVariant } fro
 import { useComposerState } from "./persistence"
 import { useConfiguredModel } from "@/providers/models/configured"

-export function createComposerControls(input: { sessionKey: Accessor<string>; model?: ModelSelection }) {
+export function createComposerControls(input: {
+  sessionKey: Accessor<string>
+  model?: ModelSelection
+  browser?: ComposerControls["session"]["browser"]
+}) {
  const layout = useLayout()
  const local = useLocal()
  const sdk = useWorkspaceLocation()
@@ -40,6 +44,7 @@ export function createComposerControls(input: { sessionKey: Accessor<string>; mo
      session: {
        tabs: layout.tabs(input.sessionKey),
        reviewPanel: view.reviewPanel,
+        browser: input.browser,
      },
    }
  })
@@ -17,6 +17,9 @@ import {
 export { DEFAULT_PROMPT } from "./schema"
 export type {
  AgentPart,
+  BrowserComment,
+  BrowserContextItem,
+  BrowserElement,
  ComposerStore,
  ContentPart,
  ContextItem,
@@ -38,7 +41,7 @@ type InitialPrompt = {
 }

 export function isCommentItem(item: ContextItem | (ContextItem & { key: string })) {
-  return item.type === "file" && !!item.comment?.trim()
+  return !!item.comment?.trim()
 }

 function createComposerActions(setStore: SetStoreFunction<ComposerStore>) {
@@ -137,7 +140,7 @@ function createComposerStateValue(store: ComposerStore, setStore: SetStoreFuncti
        )
        clearRetry()
      },
-      replaceComments(items: FileContextItem[]) {
+      replaceComments(items: ContextItem[]) {
        setStore("context", "items", (current) => [
          ...current.filter((item) => !isCommentItem(item)),
          ...items.map((item) => ({ ...item, key: contextItemKey(item) })),
@@ -1,6 +1,7 @@
 import { SessionMessage } from "@opencode/schema/session-message"
 import type { SessionMessageUser } from "@opencode/client/promise"
 import type { Accessor } from "solid-js"
+import type { PromptComment } from "./comment-note"
 import type { PromptHistoryComment } from "./history/entry"
 import type { ImageAttachmentPart, Prompt } from "./state"
 import { clonePrompt, promptLength } from "./prompt-parts"
@@ -73,10 +74,13 @@ export function createComposerSubmit(input: ComposerSubmitInput) {
    const submission = createComposerSubmission({
      target: input.adapter.state,
      prompt,
-      context: input.adapter.state.context.items().map((item) => ({
-        ...item,
-        selection: item.selection ? { ...item.selection } : undefined,
-      })),
+      context: input.adapter.state.context
+        .items()
+        .map((item) =>
+          item.type === "browser"
+            ? { ...item, element: { ...item.element } }
+            : { ...item, selection: item.selection ? { ...item.selection } : undefined },
+        ),
    })
    const read = readSubmission(input, submission.prompt, submission.context, text, options?.alternate ?? false)
    if (!read) {
@@ -195,19 +199,30 @@ function handoffMessage(value: ComposerSubmission): SessionMessageUser {
      attachments: value.prompt.flatMap((part) =>
        part.type === "path" ? [{ name: part.filename, mime: part.mime, path: part.path }] : [],
      ),
-      comments: value.context.flatMap((item) =>
-        item.comment?.trim()
-          ? [
-              {
-                path: item.path,
-                comment: item.comment.trim(),
-                ...(item.selection ? { selection: { ...item.selection } } : {}),
-                ...(item.preview !== undefined ? { preview: item.preview } : {}),
-                ...(item.commentOrigin ? { origin: item.commentOrigin } : {}),
-              },
-            ]
-          : [],
-      ),
+      comments: value.context.flatMap((item): PromptComment[] => {
+        const comment = item.comment?.trim()
+        if (!comment) return []
+        if (item.type === "browser")
+          return [
+            {
+              type: "browser",
+              tabID: item.tabID,
+              url: item.url,
+              ...(item.title ? { title: item.title } : {}),
+              element: { ...item.element },
+              comment,
+            },
+          ]
+        return [
+          {
+            path: item.path,
+            comment,
+            ...(item.selection ? { selection: { ...item.selection } } : {}),
+            ...(item.preview !== undefined ? { preview: item.preview } : {}),
+            ...(item.commentOrigin ? { origin: item.commentOrigin } : {}),
+          },
+        ]
+      }),
      agent: value.selection.agent,
      model: {
        ...value.selection.model,
@@ -287,15 +302,27 @@ function restoreSubmission(
  restored.target.context.replaceComments(
    restored.context
      .filter((item) => !!item.comment?.trim())
-      .map((item) => ({
-        type: "file",
-        path: item.path,
-        selection: item.selection,
-        comment: item.comment,
-        commentID: item.commentID,
-        commentOrigin: item.commentOrigin,
-        preview: item.preview,
-      })),
+      .map((item) =>
+        item.type === "browser"
+          ? {
+              type: "browser",
+              tabID: item.tabID,
+              url: item.url,
+              title: item.title,
+              element: item.element,
+              comment: item.comment,
+              commentID: item.commentID,
+            }
+          : {
+              type: "file",
+              path: item.path,
+              selection: item.selection,
+              comment: item.comment,
+              commentID: item.commentID,
+              commentOrigin: item.commentOrigin,
+              preview: item.preview,
+            },
+      ),
  )
  // A recovered follow-up changes the payload, so it must use a new admission ID.
  if (value.mode === "normal" && restored.prompt === submission.prompt) {
@@ -5,6 +5,7 @@ export { loadLocaleDict, normalizeLocale, type Locale, useLanguage } from "./run
 export { type FatalRendererErrorLog, type Platform, PlatformProvider } from "./runtime/platform/platform"
 export type {
  BrowserPaneCommand,
+  BrowserPaneElement,
  BrowserPaneEndpoint,
  BrowserPaneEvent,
  BrowserPaneLayout,
@@ -445,6 +445,42 @@
    }
  }

+  @keyframes browser-comment-enter {
+    from {
+      opacity: 0;
+    }
+  }
+
+  @keyframes browser-comment-editor-enter {
+    from {
+      opacity: 0;
+      transform: translateY(4px) scale(0.98);
+    }
+  }
+
+  [data-component="browser-comment"] {
+    animation: browser-comment-enter 160ms cubic-bezier(0.215, 0.61, 0.355, 1);
+  }
+
+  /* Dim the frozen page around the picked element, whose DevTools highlight stays in the still. */
+  [data-component="browser-comment"] [data-slot="browser-comment-spotlight"] {
+    box-shadow:
+      0 0 0 1px var(--v2-border-border-focus),
+      0 0 0 100vmax color-mix(in srgb, var(--v2-overlay-simple-overlay-scrim) 50%, transparent);
+  }
+
+  [data-component="browser-comment"] [data-slot="browser-comment-editor"] {
+    animation: browser-comment-editor-enter 200ms cubic-bezier(0.215, 0.61, 0.355, 1);
+    transform-origin: top left;
+  }
+
+  @media (prefers-reduced-motion: reduce) {
+    [data-component="browser-comment"],
+    [data-component="browser-comment"] [data-slot="browser-comment-editor"] {
+      animation: none;
+    }
+  }
+
  [data-slot="home-projects-scroll"] {
    timeline-scope: --home-projects-scroll;
  }
@@ -62,6 +62,7 @@ export function createComposerProjectControls(props: { draftId: string; worktree
  return createMemo<PromptProjectControls>(() => ({
    available: projects(),
    directory: location().directory,
+    projectID: location().current?.project.id,
    server: servers.list.length > 1 ? ServerConnection.key(projectServer()) : undefined,
    select: selectProject,
    add: addProject,
@@ -0,0 +1,51 @@
+import { describe, expect, mock, test } from "bun:test"
+import { createRoot } from "solid-js"
+import type { PromptProjectControls } from "./selector"
+
+mock.module("@/runtime/i18n/language", () => ({ useLanguage: () => ({ t: (key: string) => key }) }))
+
+const { createPromptProjectController } = await import("./selector")
+
+describe("new session project selection", () => {
+  test("shows the current project's appearance before its worktree inventory loads", () => {
+    const generic = { id: "other", worktree: "/other" }
+    const current = {
+      id: "current",
+      worktree: "/repo",
+      name: "My custom name",
+      icon: { override: "data:image/png;base64,AAAA" },
+    }
+    const controls: PromptProjectControls = {
+      available: [generic, current],
+      directory: "/repo/.opencode/worktree/feature",
+      projectID: "current",
+      select() {},
+      add() {},
+    }
+
+    createRoot((dispose) => {
+      const controller = createPromptProjectController({ controls: () => controls, onDone() {} })
+      expect(controller.selected()).toEqual(current)
+      dispose()
+    })
+  })
+
+  test("does not select a matching project ID from another server", () => {
+    const remote = { id: "shared", worktree: "/remote", server: { key: "remote", name: "Remote" } }
+    const local = { id: "shared", worktree: "/local", server: { key: "local", name: "Local" } }
+    const controls: PromptProjectControls = {
+      available: [remote, local],
+      directory: "/local/feature",
+      projectID: "shared",
+      server: "local",
+      select() {},
+      add() {},
+    }
+
+    createRoot((dispose) => {
+      const controller = createPromptProjectController({ controls: () => controls, onDone() {} })
+      expect(controller.selected()).toEqual(local)
+      dispose()
+    })
+  })
+})
@@ -31,6 +31,7 @@ export type PromptProject = {
 export type PromptProjectControls = {
  available: PromptProject[]
  directory: string
+  projectID?: string
  server?: string
  select: (worktree: string, server?: string) => void
  add: (title: string, server?: string) => void
@@ -56,14 +57,15 @@ export function createPromptProjectController(input: {
  let searchRef: HTMLInputElement | undefined

  const current = () => {
-    const key = pathKey(input.controls().directory)
-    return input
-      .controls()
-      .available.find(
+    const controls = input.controls()
+    const key = pathKey(controls.directory)
+    const projects = controls.available.filter((project) => !project.server || project.server.key === controls.server)
+    return (
+      projects.find(
        (project) =>
-          (!project.server || project.server.key === input.controls().server) &&
-          (pathKey(project.worktree) === key || project.sandboxes?.some((sandbox) => pathKey(sandbox) === key)),
-      )
+          pathKey(project.worktree) === key || project.sandboxes?.some((sandbox) => pathKey(sandbox) === key),
+      ) ?? projects.find((project) => controls.projectID && project.id === controls.projectID)
+    )
  }
  const selected = () => current() ?? input.controls().available[0]
  const projects = () => {
@@ -0,0 +1,23 @@
+import { Button } from "@opencode/ui/button"
+import { useDialog } from "@opencode/ui/context/dialog"
+import { onMount } from "solid-js"
+import { DialogChatGPTUsageLimit } from "./chatgpt-usage-limit"
+
+function UsageLimitStory() {
+  const dialog = useDialog()
+  const open = () => dialog.show(() => <DialogChatGPTUsageLimit />)
+  onMount(open)
+
+  return (
+    <Button variant="neutral" onClick={open}>
+      Open ChatGPT usage limit
+    </Button>
+  )
+}
+
+export default {
+  title: "App/Dialogs/Connect Provider",
+  id: "app-dialog-chatgpt-usage-limit",
+}
+
+export const ChatGPTUsageLimit = { render: () => <UsageLimitStory /> }
@@ -0,0 +1,48 @@
+import { Button } from "@opencode/ui/button"
+import { useDialog } from "@opencode/ui/context/dialog"
+import { Dialog, DialogTitle } from "@opencode/ui/dialog"
+import { ProviderIcon } from "@opencode/ui/provider-icon"
+import { useLanguage } from "@/runtime/i18n/language"
+import { usePlatform } from "@/runtime/platform/platform"
+
+export function DialogChatGPTUsageLimit() {
+  const dialog = useDialog()
+  const language = useLanguage()
+  const platform = usePlatform()
+
+  return (
+    <Dialog fit containerClass="!w-[min(calc(100vw_-_32px),390px)] !rounded-xl">
+      <div class="flex w-full flex-col items-center px-8 pb-8 pt-9 text-center [font-family:var(--v2-font-family-sans)]">
+        <ProviderIcon id="openai" class="!size-12 text-v2-icon-icon-base" aria-hidden="true" />
+        <div class="mt-6 max-w-[270px] text-[20px] font-[530] leading-7 tracking-[-0.3px] text-v2-text-text-base">
+          <DialogTitle>
+            <bdi dir="auto">{language.t("provider.connect.chatgptUsageLimit.title")}</bdi>
+          </DialogTitle>
+        </div>
+        <p class="mt-3 text-[13px] leading-5 text-v2-text-text-muted">
+          <bdi dir="auto">{language.t("provider.connect.chatgptUsageLimit.description")}</bdi>
+        </p>
+        <Button
+          variant="contrast"
+          size="large"
+          class="mt-8 w-full"
+          autofocus
+          onClick={() => {
+            platform.openExternal("https://chatgpt.com/settings/usage")
+            dialog.close()
+          }}
+        >
+          {language.t("provider.connect.chatgptUsageLimit.manage")}
+        </Button>
+        <Button
+          variant="ghost"
+          size="large"
+          class="mt-2 w-full"
+          onClick={() => dialog.close()}
+        >
+          {language.t("provider.connect.chatgptUsageLimit.close")}
+        </Button>
+      </div>
+    </Dialog>
+  )
+}
@@ -0,0 +1,23 @@
+import { Button } from "@opencode/ui/button"
+import { useDialog } from "@opencode/ui/context/dialog"
+import { onMount } from "solid-js"
+import { DialogChatGPTPlanWelcome } from "./chatgpt-welcome"
+
+function WelcomeStory() {
+  const dialog = useDialog()
+  const open = () => dialog.show(() => <DialogChatGPTPlanWelcome />)
+  onMount(open)
+
+  return (
+    <Button variant="neutral" onClick={open}>
+      Open ChatGPT plan welcome
+    </Button>
+  )
+}
+
+export default {
+  title: "App/Dialogs/Connect Provider",
+  id: "app-dialog-chatgpt-welcome",
+}
+
+export const ChatGPTPlanWelcome = { render: () => <WelcomeStory /> }
@@ -0,0 +1,37 @@
+import { Button } from "@opencode/ui/button"
+import { useDialog } from "@opencode/ui/context/dialog"
+import { Dialog, DialogTitle } from "@opencode/ui/dialog"
+import { ProviderIcon } from "@opencode/ui/provider-icon"
+import { useLanguage } from "@/runtime/i18n/language"
+import { ExternalLink } from "@/runtime/platform/external-link"
+
+export function DialogChatGPTPlanWelcome() {
+  const dialog = useDialog()
+  const language = useLanguage()
+
+  return (
+    <Dialog fit containerClass="!w-[min(calc(100vw_-_32px),390px)] !rounded-xl">
+      <div class="flex w-full flex-col items-center px-8 pb-8 pt-9 text-center [font-family:var(--v2-font-family-sans)]">
+        <ProviderIcon id="openai" class="!size-12 text-v2-icon-icon-base" aria-hidden="true" />
+        <div class="mt-6 max-w-[270px] text-[20px] font-[530] leading-7 tracking-[-0.3px] text-v2-text-text-base">
+          <DialogTitle>
+            <bdi dir="auto">{language.t("provider.connect.chatgptWelcome.title")}</bdi>
+          </DialogTitle>
+        </div>
+        <p class="mt-3 text-[13px] leading-5 text-v2-text-text-muted">
+          <bdi dir="auto">{language.t("provider.connect.chatgptWelcome.description")}</bdi>
+        </p>
+        <ExternalLink
+          href="https://chatgpt.com/settings/usage"
+          dir="auto"
+          class="mt-1 rounded-sm text-[13px] leading-5 text-v2-text-text-muted underline-offset-2 hover:text-v2-text-text-base focus-visible:outline focus-visible:outline-2"
+        >
+          {language.t("provider.connect.chatgptWelcome.usage")}
+        </ExternalLink>
+        <Button variant="contrast" size="large" class="mt-8 w-full" autofocus onClick={() => dialog.close()}>
+          {language.t("provider.connect.chatgptWelcome.confirm")}
+        </Button>
+      </div>
+    </Dialog>
+  )
+}
@@ -39,6 +39,9 @@ import { OpenCodeLogo } from "@/providers/opencode-logo"
 import { decode64 } from "@/runtime/persistence/base64"
 import { SettingsList } from "@/settings/list"
 import { useTabs } from "@/shell/tabs/tabs"
+import { Persist, persisted } from "@/runtime/persistence/storage"
+import { Persistence } from "@/runtime/persistence/schema"
+import { Schema } from "effect"
 import {
  CONSOLE_INTEGRATION,
  CONSOLE_PROVIDERS,
@@ -48,6 +51,7 @@ import {
  type ProviderConnectMethod,
 } from "./controller"
 import { ConsoleAuthorization } from "./console"
+import { DialogChatGPTPlanWelcome } from "./chatgpt-welcome"
 import { authServerName, RemoteAuthNotice } from "./remote"
 import "./models.css"

@@ -81,8 +85,15 @@ export const DialogConnectProvider: Component<{
    completed: false,
    modelProvider: undefined as { id: string; name: string } | undefined,
    authorization: false,
+    chatgptWelcome: false,
  })
  const language = useLanguage()
+  const dialog = useDialog()
+  const [welcome, setWelcome, , welcomeReady] = persisted(
+    Persist.global("chatgpt-plan-welcome.v1"),
+    Persistence.struct({ seen: Schema.Boolean }),
+    { seen: false },
+  )
  const reset = controller.reset
  const back = { current: reset }
  const consoleSelected = () => CONSOLE_PROVIDERS.has(controller.selected() ?? "")
@@ -112,7 +123,11 @@ export const DialogConnectProvider: Component<{
              setBack={(handler) => (back.current = handler)}
              selection={props.selection}
              onDone={props.onDone ? () => setState("completed", true) : undefined}
-              onConnected={() => props.onConnected?.(provider)}
+              onConnected={(methodID) => {
+                props.onConnected?.(provider)
+                if (provider === "openai" && methodID === "chatgpt-token-sharing")
+                  setState("chatgptWelcome", true)
+              }}
              onFirstConnection={(provider) => setState("modelProvider", provider)}
              onAuthorization={(authorization) => setState("authorization", authorization)}
            />
@@ -136,9 +151,16 @@ export const DialogConnectProvider: Component<{
            : "!h-[min(calc(100vh_-_16px),512px)] !w-[min(calc(100vw_-_16px),640px)]"
      }
      onCloseAutoFocus={(event) => {
-        if (!state.completed || !props.onDone) return
-        event.preventDefault()
-        props.onDone()
+        if (state.completed && props.onDone) {
+          event.preventDefault()
+          props.onDone()
+        }
+        if (!state.chatgptWelcome) return
+        void Promise.resolve(welcomeReady.promise).then(() => {
+          if (welcome.seen) return
+          setWelcome("seen", true)
+          void dialog.show(() => <DialogChatGPTPlanWelcome />)
+        })
      }}
      class="[font-family:var(--v2-font-family-sans)] [&_[data-slot=dialog-header]]:!px-5 [&_[data-slot=dialog-header-title]]:!text-[15px] [&_[data-slot=dialog-header-title]]:!tracking-[-0.13px]"
      classList={{
@@ -354,7 +376,7 @@ function ProviderConnection(props: {
  setBack: (handler: () => void) => void
  selection?: ModelSelection
  onDone?: () => void
-  onConnected?: () => void
+  onConnected?: (methodID?: string) => void
  onFirstConnection: (provider: { id: string; name: string }) => void
  onAuthorization: (authorization: boolean) => void
 }) {
@@ -401,7 +423,8 @@ function ProviderConnection(props: {
    prepare: isConsole ? prepareConsoleCatalog : undefined,
    pollInterval: isConsole ? 500 : undefined,
    onComplete: () => {
-      props.onConnected?.()
+      const method = controller.currentMethod()
+      props.onConnected?.(method?.type === "oauth" ? method.id : undefined)
      // The picker only lists the newest model per family by default, which hides most of
      // what a new connection just unlocked. Show everything the connected integration offers.
      global.models.show(
@@ -0,0 +1,78 @@
+import { Button } from "@opencode/ui/button"
+import { createSignal } from "solid-js"
+import type { ModelSelection } from "./selection"
+import { ModelSelectorPopoverView } from "./select-dialog"
+
+const chatgpt = {
+  id: "gpt-5.6-sol",
+  providerID: "openai",
+  api: { id: "gpt-5.6-sol", url: "https://api.openai.com/v1", npm: "@opencode/ai/providers/openai" },
+  name: "GPT-5.6 Sol",
+  family: "gpt",
+  capabilities: {
+    temperature: true,
+    reasoning: true,
+    attachment: true,
+    toolcall: true,
+    input: { text: true, audio: false, image: true, video: false, pdf: false },
+    output: { text: true, audio: false, image: false, video: false, pdf: false },
+    interleaved: true,
+  },
+  cost: { input: 0, output: 0, cache: { read: 0, write: 0 } },
+  limit: { context: 400_000, output: 64_000 },
+  status: "active",
+  options: {},
+  headers: {},
+  release_date: "2026-09-01",
+  variants: {},
+  provider: {
+    id: "openai",
+    name: "OpenAI",
+    source: "custom",
+    env: [],
+    options: {},
+    models: {},
+  },
+  latest: true,
+} satisfies NonNullable<ReturnType<ModelSelection["current"]>>
+
+const models = [
+  chatgpt,
+  {
+    ...chatgpt,
+    id: "gpt-5.6-terra",
+    api: { ...chatgpt.api, id: "gpt-5.6-terra" },
+    name: "GPT-5.6 Terra",
+    latest: false,
+  },
+]
+
+function SelectorStory(props: { plan: boolean }) {
+  const [current, setCurrent] = createSignal(models[0].id)
+  return (
+    <div class="flex min-h-[280px] items-end justify-center">
+      <ModelSelectorPopoverView
+        trigger={(trigger) => (
+          <Button {...trigger} variant="ghost-muted">
+            {models.find((model) => model.id === current())?.name}
+          </Button>
+        )}
+        models={(search) => models.filter((model) => model.name.toLowerCase().includes(search.toLowerCase()))}
+        groups={(items) => [{ category: "openai", items }]}
+        current={`openai:${current()}`}
+        chatgptPlan={props.plan}
+        select={(item) => setCurrent(item.id)}
+        onManage={() => undefined}
+        onClose={() => undefined}
+      />
+    </div>
+  )
+}
+
+export default {
+  title: "App/Dialogs/Model Selector",
+  id: "app-dialog-model-selector",
+}
+
+export const ChatGPTPlan = { render: () => <SelectorStory plan /> }
+export const ApiKey = { render: () => <SelectorStory plan={false} /> }
@@ -15,13 +15,16 @@ import { Menu } from "@opencode/ui/menu"
 import { TextInput } from "@opencode/ui/text-input"
 import { ModelTooltip } from "./tooltip"
 import { useLanguage } from "@/runtime/i18n/language"
+import { ExternalLink } from "@/runtime/platform/external-link"
+import { useData } from "@/runtime/server/current"
+import { useWorkspaceLocation } from "@/workspaces/location"
 import { decode64 } from "@/runtime/persistence/base64"
 import { handleDocumentSearchKeydown } from "@/shell/commands/search-keydown"
 import { createMenuDismissController } from "@/shell/commands/menu-dismiss"
 import { createEventListener } from "@solid-primitives/event-listener"
 import { matchesModelSearch } from "./search"
 import { SettingsList } from "@/settings/list"
-import { CONSOLE_GROUP_KEY, consoleModelGroup, ProviderModelSections } from "@/providers/models/provider-group"
+import { CONSOLE_GROUP_KEY, consoleModelGroup, ProviderModelIcon, ProviderModelSections } from "@/providers/models/provider-group"
 import "@/settings/settings.css"

 const isFree = (provider: string, cost: { input: number } | undefined) =>
@@ -218,11 +221,21 @@ export function ModelSelectorPopover(props: {
  onClose?: () => void
 }) {
  const dialog = useDialog()
+  const data = useData()
+  const location = useWorkspaceLocation()
  const controller = createModelSelectorController({
    model: props.model,
    provider: () => props.provider,
    onSelect: () => props.onClose?.(),
  })
+  const chatgptPlan = () => {
+    if (!controller.current()?.startsWith("openai:")) return false
+    const connection = data.location.integration
+      .list(location().ref)
+      ?.find((integration) => integration.id === "openai")
+      ?.connections[0]
+    return connection?.type === "credential" && connection.method === "oauth"
+  }

  return (
    <ModelSelectorPopoverView
@@ -230,6 +243,7 @@ export function ModelSelectorPopover(props: {
      models={controller.models}
      groups={controller.groups}
      current={controller.current()}
+      chatgptPlan={chatgptPlan()}
      select={controller.select}
      onManage={() => {
        void import("./manage").then((module) => {
@@ -281,11 +295,12 @@ function createModelSelectorController(input: {
  }
 }

-function ModelSelectorPopoverView(props: {
+export function ModelSelectorPopoverView(props: {
  trigger: ModelSelectorTrigger
  models: (search: string) => ModelItem[]
  groups: (models: ModelItem[]) => { category: string; items: ModelItem[] }[]
  current: string | undefined
+  chatgptPlan?: boolean
  select: (item: ModelItem) => void
  onManage: () => void
  onClose: () => void
@@ -368,7 +383,8 @@ function ModelSelectorPopoverView(props: {
      <Menu.Portal>
        <Menu.Content
          ref={(element: HTMLDivElement) => (contentRef = element)}
-          class="w-[284px] overflow-hidden rounded-md border-0 bg-v2-background-bg-layer-01 !p-0 shadow-[var(--v2-elevation-floating)] focus:outline-none"
+          class="w-[284px] max-w-[calc(100vw-16px)] overflow-hidden rounded-md border-0 bg-v2-background-bg-layer-01 !p-0 shadow-[var(--v2-elevation-floating)] focus:outline-none"
+          classList={{ "!w-[320px]": props.chatgptPlan }}
          onPointerDownOutside={dismiss.preventTriggerRestore}
          onFocusOutside={dismiss.preventTriggerRestore}
          onCloseAutoFocus={dismiss.onCloseAutoFocus}
@@ -505,6 +521,20 @@ function ModelSelectorPopoverView(props: {
              <span class="min-w-0 flex-1 truncate leading-5">{language.t("dialog.model.manage")}</span>
            </Menu.Item>
          </div>
+          <Show when={props.chatgptPlan}>
+            <div class="h-px bg-v2-border-border-muted" />
+            <div class="flex min-h-10 items-center gap-2 px-3 py-2 text-[13px] leading-5 text-v2-text-text-base">
+              <ProviderModelIcon provider={{ id: "openai", name: "OpenAI" }} class="shrink-0" />
+              <span class="min-w-0 flex-1 truncate">{language.t("dialog.model.chatgptPlan")}</span>
+              <ExternalLink
+                href="https://chatgpt.com/settings/usage"
+                class="flex shrink-0 items-center gap-1 rounded-sm text-v2-text-text-muted no-underline hover:text-v2-text-text-base focus-visible:outline focus-visible:outline-2"
+              >
+                {language.t("dialog.model.chatgptManageUsage")}
+                <Icon name="arrow-up-right" size="small" />
+              </ExternalLink>
+            </div>
+          </Show>
        </Menu.Content>
      </Menu.Portal>
    </Menu>
@@ -111,6 +111,7 @@ export const dict = {
  "command.file.open": "Open file",
  "command.browser.open": "Open browser",
  "command.browser.reload": "Reload browser page",
+  "command.browser.inspect": "Select an element in the browser page",
  "command.tab.close": "Close tab",
  "command.tab.reopenClosed": "Reopen closed tab",
  "command.context.addSelection": "Add selection to context",
@@ -186,6 +187,8 @@ export const dict = {
  "dialog.model.empty": "No model results",
  "dialog.model.manage": "Manage models",
  "dialog.model.manage.description": "Customize which models appear in the model selector.",
+  "dialog.model.chatgptPlan": "Using ChatGPT plan",
+  "dialog.model.chatgptManageUsage": "Manage usage",
  "dialog.model.manage.provider.toggle": "Toggle all {{provider}} models",

  "dialog.model.unpaid.freeModels.title": "Free models provided by OpenCode",
@@ -217,7 +220,15 @@ export const dict = {
  "provider.connect.models.title": "Connected to {{provider}}",
  "provider.connect.models.description": "Choose a model to start with. You can switch models anytime.",
  "provider.connect.models.available": "Available models",
+  "provider.connect.chatgptWelcome.title": "ChatGPT connected",
+  "provider.connect.chatgptWelcome.description": "Eligible requests in OpenCode can use your ChatGPT plan.",
+  "provider.connect.chatgptWelcome.usage": "Manage usage in ChatGPT settings",
+  "provider.connect.chatgptWelcome.confirm": "Got it",
  "provider.connect.models.list": "Models available from {{provider}}",
+  "provider.connect.chatgptUsageLimit.title": "ChatGPT usage limit reached",
+  "provider.connect.chatgptUsageLimit.description": "Check your usage and limits in ChatGPT settings.",
+  "provider.connect.chatgptUsageLimit.manage": "Manage usage",
+  "provider.connect.chatgptUsageLimit.close": "Close",
  "provider.connect.console.refreshFailed":
    "Your account is connected, but we couldn't load your models. Try again to refresh them.",
  "provider.connect.console.connected": "OpenCode connected",
@@ -1012,6 +1023,9 @@ export const dict = {
  "session.browser.unsupported": "This desktop app does not support the browser pane.",
  "session.browser.suspended": "Browser suspended. Interact with this session to reconnect.",
  "session.browser.address.placeholder": "Enter URL",
+  "session.browser.inspect": "Select an element to comment on",
+  "session.browser.inspect.active": "Click an element in the page to comment on it. Press Escape to cancel.",
+  "session.browser.inspect.pageShortcut": "While the page has focus",
  "session.browser.empty.title": "Enter URL",
  "session.browser.empty.description": 'Or prompt "Open in the app browser"',
  "session.browser.failed.title": "URL can't be reached",
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
Aiden Cline	95ca8a2aaf	refactor(ai): reuse shared OpenRouter Responses implementation	2026-09-30 11:31:02 -05:00
Aiden Cline	25d302d02c	refactor(ai): share OpenRouter Responses protocol	2026-09-30 11:31:01 -05:00
Aiden Cline	4ec4f274bd	feat(ai): route OpenRouter models through native APIs	2026-09-30 11:31:01 -05:00
Aiden Cline	599bdc982e	fix(ai): classify Amazon Nova input token rejections as context overflow (#52131 )	2026-09-30 11:13:34 -05:00
James Long	82bb5ff88a	fix(browser): hide browser tools unless a desktop is attached (#52309 )	2026-09-30 11:42:23 -04:00
Simon Klee	0159356be6	tui: upgrade OpenTUI to 0.5.14 (#52316 )	2026-09-30 15:16:51 +00:00
OpeOginni	9388b94a97	fix(tui): tighten expanded instruction group spacing (#52311 )	2026-09-30 15:08:01 +00:00
James Long	02c3891d9b	feat(core): let form cancellation carry a message (#52137 )	2026-09-30 09:20:26 -04:00
Shoubhit Dash	1844c11104	fix(acp): follow server defaults and refresh the session catalog (#52286 )	2026-09-30 18:36:56 +05:30
opencode-agent[bot]	c0285b457a	chore(core): refresh bundled models.dev snapshot	2026-09-30 12:25:26 +00:00
opencode-agent[bot]	ffa4c4c730	feat(app): open referenced session IDs from markdown (#52231 ) Co-authored-by: Brendonovich <14191578+Brendonovich@users.noreply.github.com>	2026-09-30 15:39:30 +08:00
Luke Parker	01efd22b2a	feat(desktop): comment on page elements from the in-app browser (#52217 )	2026-09-30 16:52:42 +10:00
opencode-agent[bot]	dd68d6eb79	fix(app): select new-session project by resolved ID (#52230 ) Co-authored-by: Brendonovich <14191578+Brendonovich@users.noreply.github.com>	2026-09-30 14:34:05 +08:00
Simon Klee	1243d09dbc	tui: update OpenTUI to 0.5.13 (#52233 )	2026-09-30 06:13:28 +00:00
Aiden Cline	a80a00011d	fix(ai): classify Workers AI context window rejections as context overflow (#52128 )	2026-09-29 23:49:03 -05:00
opencode-agent[bot]	bf97a0443f	fix(app): alert only for open session tabs (#52204 ) Co-authored-by: Brendonovich <14191578+Brendonovich@users.noreply.github.com>	2026-09-30 03:55:01 +00:00
Luke Parker	67b14e9191	feat(session-ui): keep open Used group header sticky (#52210 )	2026-09-30 13:46:40 +10:00
Luke Parker	1b02abcfab	feat(session-ui): group adjacent reads into one row (#52207 )	2026-09-30 12:54:40 +10:00
Aiden Cline	74dbc509d7	fix(ai): place prompt cache breakpoints on OpenRouter Anthropic and Qwen requests (#52110 )	2026-09-29 18:07:49 -05:00
Aiden Cline	760f87fab1	fix(core): pass through Copilot Responses settings (#52182 )	2026-09-29 17:52:53 -05:00
opencode-agent[bot]	df51166711	fix(ci): run V2 Discord notification after skipped build jobs (#52012 ) Co-authored-by: rekram1-node <rekram1-node@users.noreply.github.com>	2026-09-29 16:22:16 -05:00
opencode	8d8a7bc844	sync release versions for v2.0.20	2026-09-29 21:08:02 +00:00
opencode-agent[bot]	a2fc1968be	fix(stats): match document background to page theme (#52169 )	2026-09-29 15:59:22 -05:00
Aiden Cline	c2a39ac592	fix(core): stop promising a ChatGPT usage reset (#52168 )	2026-09-29 15:50:09 -05:00
Aiden Cline	4deda18037	fix(app): align ChatGPT usage copy and links (#52163 )	2026-09-29 15:18:45 -05:00
Aiden Cline	0f83038253	fix(core): align ChatGPT token sharing with updated partner guide (#52162 )	2026-09-29 15:11:58 -05:00
Dax	4c33a253aa	feat(cli): add auth export and auth import commands (#52139 )	2026-09-29 16:09:01 -04:00
opencode-agent[bot]	135995d4fc	test: stabilize V2 CI test suites (#52159 ) Co-authored-by: rekram1-node <rekram1-node@users.noreply.github.com> Co-authored-by: jlongster <17031+jlongster@users.noreply.github.com>	2026-09-29 14:54:11 -05:00
Aiden Cline	4d9090790b	feat(core): add separate ChatGPT token-sharing OAuth method (#52147 )	2026-09-29 14:48:51 -05:00
Aiden Cline	621a5b0706	feat(app): show ChatGPT token-sharing guidance (#52160 )	2026-09-29 14:45:59 -05:00
Aiden Cline	16ef62c851	feat(app): show ChatGPT usage limit dialog (#52153 )	2026-09-29 14:38:48 -05:00
Aiden Cline	b694d2bf26	fix(core): explain ChatGPT token-sharing errors (#52158 )	2026-09-29 14:25:01 -05:00
Aiden Cline	89d37a0f6d	fix(core): restrict database files to their owner (#52150 )	2026-09-29 14:18:40 -05:00
James Long	bc5ff1cfd9	fix(cli): answer subagent asks in run and keep parallel rejections continuing (#52146 )	2026-09-29 15:03:06 -04:00
Aiden Cline	c14a1f5acf	feat(core): preserve provider response body in session errors (#52136 )	2026-09-29 13:32:09 -05:00
Frank	7db941a892	docs(console): add GPT 6.1 Sol to model list	2026-09-29 14:28:47 -04:00
James Long	83fafda63a	feat(cli): continue run after rejecting a permission ask (#51968 )	2026-09-29 14:26:20 -04:00
opencode-agent[bot]	a565ea8c74	feat(cli): allow disabling the background service (#52107 ) Co-authored-by: jlongster <17031+jlongster@users.noreply.github.com>	2026-09-29 13:32:38 -04:00
Aiden Cline	3126808e0e	fix(ai): defer Mistral thinking metadata until block end (#52008 )	2026-09-29 11:38:06 -05:00
opencode-agent[bot]	948047a8ca	fix(tui): use disclosure icon for low activity errors (#52097 ) Co-authored-by: thdxr <826656+thdxr@users.noreply.github.com>	2026-09-29 11:10:32 -04:00
opencode-agent[bot]	0f931d3939	chore(core): refresh bundled models.dev snapshot	2026-09-29 12:22:53 +00:00
Kit Langton	7ef4a1a56e	feat(tui): show recently closed tabs in new session menu	2026-09-29 03:35:31 -07:00
Victor Navarro	b29dab3231	fix(core): drop SSO link from Console sign-in error (#52062 )	2026-09-29 12:04:27 +02:00
Victor Navarro	d76f968c60	feat(core): tell users how to sign back in to OpenCode Console (#51847 )	2026-09-29 10:58:45 +02:00
opencode-agent[bot]	b30c4d00d1	fix(ai): enable explicit caching on more message protocol routes (#51981 ) Co-authored-by: rekram1-node <rekram1-node@users.noreply.github.com>	2026-09-29 00:50:08 -05:00
Aiden Cline	6712cc4c2c	fix(core): turn off Workers AI thinking through the chat template (#52017 )	2026-09-29 00:45:17 -05:00