refactor(ai): share OpenRouter Responses protocol

feat(ai): route OpenRouter models through native APIs
fix(app): alert only for open session tabs (#52204 )
2026-09-30 12:37:37 +00:00 · 2026-09-29 23:50:21 -05:00 · 2026-09-29 23:29:41 -05:00 · 2026-09-30 03:55:01 +00:00 · 2026-09-30 13:46:40 +10:00 · 2026-09-30 12:54:40 +10:00
195 changed files with 5939 additions and 1105 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:*",
@@ -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:",
@@ -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",
@@ -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 provider-neutral
+Responses serializer and stream parser; 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 },
        )
@@ -0,0 +1,170 @@
+export * as OpenRouterWire from "./openrouter.js"
+
+import { Option, Schema } from "effect"
+import { LLMRequest, Message, type ContentPart, type ReasoningPart } from "../../schema/index.js"
+import { resolveEffortUpdates } from "../../effort-updates.js"
+import type { OpenResponses } from "../open-responses.js"
+import { OpenResponsesOptions } from "./open-responses-options.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?.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)$/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"
+  const updates = resolveEffortUpdates(
+    request,
+    OpenResponsesOptions.resolve(request).reasoningEffort ??
+      (typeof reasoning?.effort === "string" ? reasoning.effort : undefined),
+  )
+  return LLMRequest.update(request, {
+    providerOptions:
+      format === "responses"
+        ? {
+            ...options,
+            reasoningEffort: updates.effort,
+          }
+        : {
+            ...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: (format === "responses" ? updates.request : 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) => {
+            if (detail.type === "reasoning.text" && detail.signature)
+              return [
+                {
+                  ...part,
+                  text: detail.text ?? part.text,
+                  providerMetadata: {
+                    ...part.providerMetadata,
+                    openrouter: { ...part.providerMetadata?.openrouter, signature: detail.signature },
+                  },
+                },
+              ]
+            if (detail.type === "reasoning.encrypted" && detail.data)
+              return [
+                {
+                  ...part,
+                  text: "",
+                  providerMetadata: {
+                    ...part.providerMetadata,
+                    openrouter: { ...part.providerMetadata?.openrouter, redactedData: detail.data },
+                  },
+                },
+              ]
+            return []
+          })
+          return blocks.length > 0 ? blocks : [part]
+        }),
+      })
+    }),
+  })
+}
+
+export function responsesOptions<Body extends Pick<OpenResponses.OpenResponsesBody, "reasoning">>(
+  request: LLMRequest,
+  body: Body,
+) {
+  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 } } : {}),
+  }
+}
+
+export 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) } : {}),
+  }
+}
+
+// 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
+}
@@ -33,8 +33,7 @@ const patterns = [
  /context[_ ]length[_ ]exceeded/i,
  /context length is only \d+ tokens/i,
  /input length.*exceeds.*context length/i,
-  // Z.ai code 1261 arrives as `Prompt too long` or `Prompt 超长`.
-  /prompt (?:too long|超长)/i,
+  /prompt too long; exceeded (?:max )?context length/i,
  /too large for model with \d+ maximum context length/i,
  /prompt has [\d,]+ tokens?, but the configured context size is [\d,]+ tokens?/i,
  /model_context_window_exceeded/i,
@@ -146,15 +145,13 @@ const CONTENT_POLICY_CODES = new Set([
 const GATEWAY_CODE_LABEL = /^[^:\n]+: \[([A-Za-z0-9_.-]+)\]/
 const RATE_LIMIT_TEXT = /rate increased too quickly|rate[-_\s]?limit|too[_\s]?many[_\s]?requests/i
 // Only consulted on 429, where throttles and account caps share a status.
-// Z.ai reports balance, plan expiry, plan limits, plan model access, and fair-use restrictions on 429.
-const QUOTA_TEXT =
-  /insufficient[-_\s]?(?:quota|balance)|quota[-_\s]?exceeded|budget exceeded|usage limit|limit exhausted|package has expired|plan does not yet include|fair usage policy/i
+const QUOTA_TEXT = /insufficient[-_\s]?quota|quota[-_\s]?exceeded|budget exceeded|usage limit/i
 // Policy rejections without a dedicated code, matched against the provider's own
 // explanation only. OpenAI reuses `invalid_prompt` for usage-policy rejections while
 // Bedrock Mantle reuses it for schema validation; Anthropic reports blocked output
 // under `invalid_request_error`.
 const CONTENT_POLICY_TEXT =
-  /violating our usage policy|blocked by content filtering policy|content[-_\s]?policy|rejected as a result of our safety system|detected potentially unsafe or sensitive content/i
+  /violating our usage policy|blocked by content filtering policy|content[-_\s]?policy|rejected as a result of our safety system/i
 const SERVER_ERROR_TEXT =
  /\b(?:try again|(?:please |you can )?retry (?:the |this |your )?request|try (?:the |this |your )?request again|(?:currently |temporarily )?at capacity|overloaded|temporarily unavailable|service[-_\s]?unavailable|(?:server|internal)[-_\s]?error|server (?:is )?busy|provider returned (?:an )?error|resource[-_\s]?exhausted|upstream (?:connect|connection|request)|request buffer limit while retrying upstream)\b/i

@@ -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 { OpenResponses } from "../protocols/open-responses.js"
+import { AnthropicMessages } from "../protocols/anthropic-messages.js"
+import { Framing } from "../route/framing.js"
+import { ProviderShared } 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"
@@ -95,6 +99,31 @@ const OpenRouterBody = Schema.StructWithRest(Schema.Struct(OpenAIChat.bodyFields
 ])
 export type OpenRouterBody = Schema.Schema.Type<typeof OpenRouterBody>

+const ResponsesReasoning = Schema.StructWithRest(
+  Schema.Struct({
+    enabled: Schema.optional(Schema.Boolean),
+    exclude: Schema.optional(Schema.Boolean),
+    effort: Schema.optional(Schema.String),
+    max_tokens: Schema.optional(Schema.Number),
+    summary: Schema.optional(Schema.String),
+  }),
+  [Schema.Record(Schema.String, Schema.Unknown)],
+)
+const OpenRouterResponsesBody = Schema.StructWithRest(
+  Schema.Struct({
+    ...OpenResponses.coreFields,
+    input: Schema.Array(Schema.Union([OpenResponses.InputItem, OpenResponses.ConfigurationUpdate])),
+    stream: Schema.Literal(true),
+    store: Schema.Literal(false),
+    reasoning: Schema.optional(ResponsesReasoning),
+  }),
+  [Schema.Record(Schema.String, Schema.Unknown)],
+)
+const OpenRouterMessagesBody = Schema.StructWithRest(AnthropicMessages.AnthropicMessagesBody, [
+  Schema.Record(Schema.String, Schema.Unknown),
+])
+type OpenRouterMessagesBody = Schema.Schema.Type<typeof OpenRouterMessagesBody>
+
 export const protocol = Protocol.make({
  id: "openrouter-chat",
  body: {
@@ -123,7 +152,7 @@ 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 +160,41 @@ export const protocol = Protocol.make({
  stream: OpenAIChat.protocol.stream,
 })

+const responsesProtocol = Protocol.make({
+  ...OpenResponses.protocol,
+  id: "openrouter-responses",
+  supportsEffortUpdates: OpenRouterWire.supportsEffortUpdates,
+  body: {
+    schema: OpenRouterResponsesBody,
+    from: (request) =>
+      OpenResponses.fromRequestWithAdapter(OpenRouterWire.nativeRequest(request, "responses"), {
+        id: "openrouter-responses",
+        name: "OpenRouter Responses",
+      }).pipe(
+        Effect.map((body) => OpenRouterWire.responsesOptions(request, body)),
+        Effect.flatMap(ProviderShared.validateWith(Schema.decodeUnknownEffect(OpenRouterResponsesBody))),
+      ),
+  },
+})
+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 +207,6 @@ 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 +216,45 @@ 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 +267,24 @@ 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 +297,5 @@ 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 @@
      "tool-choice"
    ],
    "name": "alibaba-messages/qwen-3-8-max-obeys-named-tool-choice",
-    "recordedAt": "2026-09-08T03:11:06.590Z"
+    "recordedAt": "2026-09-29T05:26:40.212Z"
  },
  "interactions": [
    {
@@ -21,14 +21,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Find the current weather in Paris.\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"]}}],\"tool_choice\":{\"type\":\"tool\",\"name\":\"get_weather\"},\"stream\":true,\"max_tokens\":4096,\"thinking\":{\"type\":\"disabled\"}}"
+        "body": "{\"model\":\"qwen3.8-max\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Find the current weather in Paris.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get weather in a city\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"]},\"cache_control\":{\"type\":\"ephemeral\"}}],\"tool_choice\":{\"type\":\"tool\",\"name\":\"get_weather\"},\"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\":\"qwen3.8-max\",\"id\":\"msg_0e8f1abf-f2bc-9a86-a6a7-14804ac17eac\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"usage\":{\"input_tokens\":45,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent:content_block_start\ndata:{\"type\":\"content_block_start\",\"content_block\":{\"name\":\"get_weather\",\"input\":{},\"id\":\"toolu_cf9cab33261f4709ae096d8a\",\"type\":\"tool_use\"},\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"partial_json\":\"\",\"type\":\"input_json_delta\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"partial_json\":\"{\\\"city\\\": \\\"Paris\",\"type\":\"input_json_delta\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"partial_json\":\"\\\"\",\"type\":\"input_json_delta\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"partial_json\":\"}\",\"type\":\"input_json_delta\"},\"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\":19,\"cache_creation_input_tokens\":0,\"input_tokens\":288,\"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_dab3e1c5-e75e-978d-902e-1b0a82918cff\",\"role\":\"assistant\",\"type\":\"message\",\"content\":[],\"usage\":{\"input_tokens\":45,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent:content_block_start\ndata:{\"type\":\"content_block_start\",\"content_block\":{\"name\":\"get_weather\",\"input\":{},\"id\":\"toolu_9a1c3c06a04744cc97df33a2\",\"type\":\"tool_use\"},\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"partial_json\":\"\",\"type\":\"input_json_delta\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"partial_json\":\"{\\\"city\\\": \\\"Paris\",\"type\":\"input_json_delta\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"partial_json\":\"\\\"\",\"type\":\"input_json_delta\"},\"type\":\"content_block_delta\",\"index\":0}\n\nevent:content_block_delta\ndata:{\"delta\":{\"partial_json\":\"}\",\"type\":\"input_json_delta\"},\"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\":19,\"cache_creation_input_tokens\":0,\"input_tokens\":288,\"cache_read_input_tokens\":0,\"prompt_tokens_details\":{\"cached_tokens\":0}}}\n\nevent:message_stop\ndata:{\"type\":\"message_stop\"}\n\n"
      }
    }
  ]
@@ -2,9 +2,16 @@
  "version": 1,
  "metadata": {
    "model": "muse-spark-1.3",
-    "tags": ["prefix:meta-messages", "provider:meta", "protocol:meta-messages", "tool", "tool-loop", "reasoning"],
+    "tags": [
+      "prefix:meta-messages",
+      "provider:meta",
+      "protocol:meta-messages",
+      "tool",
+      "tool-loop",
+      "reasoning"
+    ],
    "name": "meta-messages/replays-encrypted-thinking-through-a-tool-loop",
-    "recordedAt": "2026-09-07T17:27:03.540Z"
+    "recordedAt": "2026-09-29T05:29:52.700Z"
  },
  "interactions": [
    {
@@ -15,14 +22,14 @@
        "headers": {
          "content-type": "application/json"
        },
-        "body": "{\"model\":\"muse-spark-1.3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Look up the current weather in Paris using lookup_weather. After receiving the result, report Paris's weather in one short sentence.\"}]}],\"tools\":[{\"name\":\"lookup_weather\",\"description\":\"Look up current weather\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\",\"enum\":[\"Paris\"]}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"tool_choice\":{\"type\":\"auto\"},\"stream\":true,\"max_tokens\":1024,\"thinking\":{\"type\":\"adaptive\",\"display\":\"omitted\"},\"output_config\":{\"effort\":\"low\"}}"
+        "body": "{\"model\":\"muse-spark-1.3\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Look up the current weather in Paris using lookup_weather. After receiving the result, report Paris's weather in one short sentence.\",\"cache_control\":{\"type\":\"ephemeral\"}}]}],\"tools\":[{\"name\":\"lookup_weather\",\"description\":\"Look up current weather\",\"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\":1024,\"thinking\":{\"type\":\"adaptive\",\"display\":\"omitted\"},\"output_config\":{\"effort\":\"low\"}}"
      },
      "response": {
        "status": 200,
        "headers": {
          "content-type": "text/event-stream"
        },
-        "body": "event: message_start\ndata: {\"message\":{\"content\":[],\"id\":\"msg_6a9ef3e5a96d9a155dd4463b\",\"model\":\"muse-spark-1.3\",\"role\":\"assistant\",\"stop_reason\":null,\"stop_sequence\":null,\"type\":\"message\",\"usage\":{\"input_tokens\":0,\"output_tokens\":0}},\"type\":\"message_start\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"data\":\"Q-PaDgGyJ4hIKk41uslnSV0PGvrTkwJ5D-t5skfjtkIt-ABXsehMcLKJJ8RJHRKW2-XhkpPrex0aOkIdqWl99vpCgtOHIFFaSc4b3oGxA8XDx4T_2aKANfYrR1DYwYzGe6ZZ-DQnU0bnpVUzCcXkghkLdyTcJr2p8cvVo1rymFpB0wZsbQRBhxCMR6PrY4i0aOTe8_waq_Po1a4l3YzKnzZIIvYP090o5kltv7MAwqChXjQeTJlKq7ECFa6HVeoTa43oiLmoD2Bzih0VfvBvQfbSh2uDypRM7-f65sp35-VuZfwsM33ZTvefzDbd8zd0D50I6wcybsj8gulDhWWpY7cxoN1Xasy-ImvisACGeppIN66maIFq5dMT2s8_CQ8a2EQ0hw9kwJaIiygZCdRofs-T1yaGWvnQxL6MpNh6SXux9T1ZfuexNrXOhz5cR3_s1euhq3-hI3GDCUDLAtkjiigSE3w6PExrwHTHnvkuAOTP0Lw7DH4NtKv-RFFeZaQOk_0Bi2EV43tR0Hq_chtEDiSpoezDjexPWfdZvhRIaO6PwyJaQ8jVOaLUr6bh6jQ3IM19lv6R7lY4Neno8fLxMwTbf7v7q02lfhOaZe3jR1fqOFUq8e4VXV76_rJBgzThqPNqO8OI_betgX5d2KMcwWAkaZjmrP3rxA7g5xp_Q7bkFiBaaTd3HbYIk_cKbtLOS6TIIphb4SX6ADA2qJ0zoo98P2NOceZODT2WrLjKCHl5dT6b9l2feH9m21pW576ULfKhVSMzuy0cmmWI7rv2P4q-2Fw2klsDVJAc6q22bFjfDgzhybKuhuM_p1SYb8aswNrgggV-cqHWDpF1FdVpL5fHMO74l1uD8Sj_9wuuD0asMQustuvsnYq2EdI0lLvONFMApWCU0s3QA8_P0Iyf0YoCZOm5QGnA7l3O5nAPkFF4kxLSsgRe9zuP6A4oKBDLN8EHwZ3pB4WZGWpUT12cJxplmT3_n8xKaMgaz13qs27uvUm3wMI1seyfpkMwUPHmt1ftpk9f_1OAg3fvQgIkWPTp6K9NzVzEry6SP7zbPfls8yn529Qrbki7ZM_oz3xEvDg367ZCe97eVnjiqRrYsYM2MmDsQq9lUwkgXb84kpK6a4pEzX9NDvhTqhw7RI6RL9E-2Ki4ciUfHv5LVTZ0rNweCo6SYXC11f8FCeObIW_Esr2mqYpORFS4SDMU-4I1HQfD9z6cPjL22APpv9a7Pp1phI8x_aQZkPU7LkyBWyVNDeusI7wq_LC0UgJ0vCAguKcAvN7gxwpCo5MEEZivRuYBldEMwRo4he2WQQke9KEokqREdlPF3Lvaav0fqPfXqhJyHAq8bYBHWdzMjDJ_dJwhdbLQ-iNLmrK5JNg2vPDglWSznBXbrSX4iyMFk1Ni2Y1SQUIOOxS_InIwCg\",\"type\":\"redacted_thinking\"},\"index\":0,\"type\":\"content_block_start\"}\n\nevent: content_block_stop\ndata: {\"index\":0,\"type\":\"content_block_stop\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"text\":\"\",\"type\":\"text\"},\"index\":1,\"type\":\"content_block_start\"}\n\nevent: content_block_delta\ndata: {\"delta\":{\"text\":\"I'll look up the current weather in Paris.\",\"type\":\"text_delta\"},\"index\":1,\"type\":\"content_block_delta\"}\n\nevent: content_block_stop\ndata: {\"index\":1,\"type\":\"content_block_stop\"}\n\nevent: content_block_start\ndata: {\"content_block\":{\"id\":\"call_01a07ce8bb767c109c12f0a202e2ac19\",\"input\":{},\"name\":\"lookup_weather\",\"type\":\"tool_use\"},\"index\":2,\"type\":\"content_block_start\"}\n\nevent: content_block_delta\ndata: {\"delta\":{\"partial_json\":\"{\\\"city\\\":\\\"Paris\\\"}\",\"type\":\"input_json_delta\"},\"index\":2,\"type\":\"content_block_delta\"}\n\nevent: content_block_stop\ndata: {\"index\":2,\"type\":\"content_block_stop\"}\n\nevent: message_delta\ndata: {\"delta\":{\"stop_reason\":\"tool_use\",\"stop_sequence\":null},\"type\":\"message_delta\",\"usage\":{\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":113,\"input_tokens\":451,\"output_tokens\":155,\"output_tokens_details\":{\"thinking_tokens\":87}}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
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    {
@@ -33,14 +40,14 @@
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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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        },
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      "response": {
        "status": 200,
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      }
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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"
        },
-        "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\":\"enabled\",\"budget_tokens\":1024,\"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\":\"enabled\",\"budget_tokens\":1024,\"display\":\"omitted\"},\"output_config\":{\"effort\":\"low\"}}"
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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"
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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,
  "metadata": {
    "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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@@ -1,54 +0,0 @@
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@@ -1,54 +0,0 @@
-{
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-{
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-{
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-      }
-    }
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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",
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+      "tool-loop",
+      "golden"
+    ],
+    "name": "openrouter-messages/openrouter-claude-opus-4-7-tool-loop",
+    "recordedAt": "2026-09-30T03:26:16.603Z"
+  },
+  "interactions": [
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+      "transport": "http",
+      "request": {
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+        "url": "https://openrouter.ai/api/v1/messages",
+        "headers": {
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+      },
+      "response": {
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+        "headers": {
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+      }
+    },
+    {
+      "transport": "http",
+      "request": {
+        "method": "POST",
+        "url": "https://openrouter.ai/api/v1/messages",
+        "headers": {
+          "content-type": "application/json"
+        },
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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"
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@@ -15,14 +20,14 @@
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      "response": {
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-        "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"
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      }
    }
  ]
@@ -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": "2026-09-30T04:48:47.207Z"
+  },
+  "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-1790743725-CVE8eRBKqzoJqJHXU1ur\",\"object\":\"response\",\"created_at\":1790743725,\"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-1790743725-CVE8eRBKqzoJqJHXU1ur\",\"object\":\"response\",\"created_at\":1790743725,\"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_ilrlnvtd9l9\",\"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_ilrlnvtd9l9\",\"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_ilrlnvtd9l9\",\"content_index\":0,\"delta\":\"Hello\",\"logprobs\":[],\"sequence_number\":4}\n\ndata: {\"type\":\"response.output_text.delta\",\"output_index\":0,\"item_id\":\"msg_tmp_ilrlnvtd9l9\",\"content_index\":0,\"delta\":\"!\",\"logprobs\":[],\"sequence_number\":5}\n\ndata: {\"type\":\"response.output_text.done\",\"output_index\":0,\"item_id\":\"msg_tmp_ilrlnvtd9l9\",\"content_index\":0,\"text\":\"Hello!\",\"logprobs\":[],\"sequence_number\":6}\n\ndata: {\"type\":\"response.content_part.done\",\"output_index\":0,\"item_id\":\"msg_tmp_ilrlnvtd9l9\",\"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_ilrlnvtd9l9\",\"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-1790743725-CVE8eRBKqzoJqJHXU1ur\",\"object\":\"response\",\"created_at\":1790743725,\"model\":\"openai/gpt-4o-mini\",\"status\":\"completed\",\"completed_at\":1790743727,\"output\":[{\"id\":\"msg_tmp_ilrlnvtd9l9\",\"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"
+      }
+    }
+  ]
+}
@@ -282,86 +282,6 @@ describe("provider error classification", () => {
    ).toEqual(Array(6).fill("QuotaExceeded"))
  })

-  test("classifies Z.ai plan and balance limits as quota rather than throttling", () => {
-    const zai = (code: string, message: string) => ({ error: { code, message } })
-    const cases = [
-      zai("1113", "Insufficient balance or no resource package. Please recharge."),
-      zai("1308", "Usage limit reached for 5 hours. Your limit will reset at 2026-10-01 00:00:00"),
-      zai(
-        "1309",
-        "Your GLM Coding Plan package has expired and is temporarily unavailable. You can resume using it after renewing the subscription on the official website.",
-      ),
-      zai("1310", "Weekly/Monthly Limit Exhausted. Your limit will reset at 2026-10-01 00:00:00"),
-      zai("1311", "Your current subscription plan does not yet include access to glm-5"),
-      zai("1314", "Your enterprise package has expired. Please contact your enterprise administrator."),
-      zai(
-        "1313",
-        "Your account's current usage pattern does not comply with the Fair Usage Policy, and your request frequency has been limited. For details, please refer to the Subscription Service Agreement. To restore access, please submit a request.",
-      ),
-      // Z.ai's Anthropic-compatible endpoint wraps the code and request ID into the message.
-      {
-        type: "error",
-        error: {
-          type: "rate_limit_error",
-          code: "1309",
-          message:
-            "[1309][Your GLM Coding Plan package has expired and is temporarily unavailable. You can resume using it after renewing the subscription on the official website.][20260929132151e73af01340d54b58]",
-        },
-      },
-    ]
-    expect(
-      cases.map(
-        (body) =>
-          classifyProviderFailure({ message: body.error.message, status: 429, rawBody: JSON.stringify(body) })._tag,
-      ),
-    ).toEqual(Array(cases.length).fill("QuotaExceeded"))
-  })
-
-  test("classifies Z.ai prompt length rejections as context overflow", () => {
-    const cases = [
-      { error: { code: "1261", message: "Prompt 超长" } },
-      { error: { code: "1261", message: "Prompt too long" } },
-      {
-        type: "error",
-        error: { type: "invalid_request_error", code: "1261", message: "[1261][Prompt too long][2026092913]" },
-      },
-    ]
-    expect(
-      cases.map((body) => {
-        const reason = classifyProviderFailure({
-          message: body.error.message,
-          status: 400,
-          rawBody: JSON.stringify(body),
-        })
-        return reason._tag === "InvalidRequest" ? reason.classification : reason._tag
-      }),
-    ).toEqual(["context-overflow", "context-overflow", "context-overflow"])
-  })
-
-  test("classifies Z.ai sensitive content rejections as content policy", () => {
-    const message =
-      "System detected potentially unsafe or sensitive content in input or generation. Please avoid using prompts that may generate sensitive content. Thank you for your cooperation."
-    expect(
-      classifyProviderFailure({
-        message,
-        status: 400,
-        rawBody: JSON.stringify({ error: { code: "1301", message } }),
-      })._tag,
-    ).toBe("ContentPolicy")
-  })
-
-  test("keeps Z.ai throttling and overload retryable", () => {
-    expect(
-      [
-        { error: { code: "1302", message: "Rate limit reached for requests" } },
-        { error: { code: "1305", message: "The service may be temporarily overloaded, please try again later" } },
-      ].map(
-        (body) =>
-          classifyProviderFailure({ message: body.error.message, status: 429, rawBody: JSON.stringify(body) })._tag,
-      ),
-    ).toEqual(["RateLimit", "RateLimit"])
-  })
-
  test("does not let substituted server codes make a 4xx retryable", () => {
    const openai = { error: { type: "server_error", message: "Upstream request failed: Model is unavailable." } }
    const anthropic = {
@@ -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 +1,36 @@
+import { expect } from "bun:test"
+import { Effect } from "effect"
+import { LLMEvent, LLMResponse } from "../../src/index.js"
+import { OpenRouter } from "../../src/providers/openrouter.js"
+import { recordedTests } from "../recorded-test.js"
+import { expectWeatherToolLoop, goldenWeatherToolLoopRequest, runWeatherToolLoop } from "../recorded-scenarios.js"
+
+const recorded = recordedTests({
+  prefix: "openrouter-responses",
+  provider: "openrouter",
+  protocol: "openrouter-responses",
+  requires: ["OPENROUTER_API_KEY"],
+})
+
+recorded.effect.with(
+  "continues Meta reasoning through a tool loop",
+  { cassette: "openrouter-responses/openrouter-muse-spark-1-3-tool-loop", tags: ["reasoning", "tool-loop"] },
+  () =>
+    Effect.gen(function* () {
+      const events = yield* runWeatherToolLoop(
+        goldenWeatherToolLoopRequest({
+          model: OpenRouter.configure({
+            apiKey: process.env.OPENROUTER_API_KEY ?? "fixture",
+            providerOptions: { reasoning: { effort: "minimal" } },
+          }).model("meta/muse-spark-1.3"),
+          maxTokens: 512,
+        }),
+      )
+
+      expectWeatherToolLoop(events)
+      expect(LLMResponse.text({ events: events.slice(events.findIndex(LLMEvent.is.stepFinish) + 1) }).trim()).toMatch(
+        /^Paris is sunny\.?$/,
+      )
+    }),
+  60_000,
+)
@@ -9,25 +9,230 @@ 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 generic 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 },
+            text: { verbosity: "low" },
+            provider: { allow_fallbacks: false },
+          },
+        }).model(id)
+        const prepared = yield* compileRequest(LLM.request({ model, prompt: "Say hello." }))
+
+        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 },
+          text: { verbosity: "low" },
+          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" } },
      })
-      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-luna"), 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" },
+        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 +254,11 @@ 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 +272,12 @@ 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 +294,17 @@ 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 +321,15 @@ 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 +337,38 @@ 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 +379,7 @@ 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 +427,7 @@ 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 +502,7 @@ 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 +519,7 @@ 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 +546,7 @@ 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 +581,7 @@ 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 +622,7 @@ 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 +651,7 @@ 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" })],
        }),
@@ -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`) })
        }

@@ -1,6 +1,6 @@
 {
  "name": "@opencode/app",
-  "version": "2.0.19",
+  "version": "2.0.20",
  "description": "",
  "type": "module",
  "exports": {
@@ -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>
@@ -186,6 +186,8 @@ 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 +219,15 @@ 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",
@@ -1,6 +1,6 @@
 import { describe, expect, test } from "bun:test"
 import { Schema } from "effect"
-import { GoUpsellState } from "./usage-exceeded-dialogs"
+import { GoUpsellState, isChatGPTUsageLimit } from "./usage-exceeded-dialogs"
 import { Persistence } from "@/runtime/persistence/schema"

 const decode = Schema.decodeUnknownSync(
@@ -38,3 +38,31 @@ describe("usage exceeded preferences", () => {
    })
  })
 })
+
+describe("ChatGPT usage limit", () => {
+  const message =
+    "ChatGPT usage limit reached. Try again after your allowance resets; check ChatGPT Settings → Usage for details."
+
+  test("detects the mapped message regardless of failure type", () => {
+    expect(
+      isChatGPTUsageLimit({
+        type: "provider.rate-limit",
+        message,
+        status: 429,
+      }),
+    ).toBe(true)
+    expect(isChatGPTUsageLimit({ type: "provider.unknown", message })).toBe(true)
+  })
+
+  test("ignores other rate limits and similar messages", () => {
+    expect(isChatGPTUsageLimit({ type: "provider.rate-limit", message: "Rate limit exceeded", status: 429 })).toBe(
+      false,
+    )
+    expect(
+      isChatGPTUsageLimit({
+        type: "provider.rate-limit",
+        message: "ChatGPT usage limit reached",
+      }),
+    ).toBe(false)
+  })
+})
@@ -1,6 +1,6 @@
 import { useWorkspaceLocation } from "@/workspaces/location"
 import { Persist, persisted } from "@/runtime/persistence/storage"
-import type { SessionStatus } from "@opencode/client/promise"
+import type { SessionStatus, SessionStepFailed } from "@opencode/client/promise"
 import { onCleanup } from "solid-js"
 import { Schema } from "effect"
 import { Persistence } from "@/runtime/persistence/schema"
@@ -14,6 +14,14 @@ const GO_UPSELL_ACCOUNT_RATE_LIMIT_LAST_SEEN_AT = "go_upsell_account_rate_limit_
 const GO_UPSELL_ACCOUNT_RATE_LIMIT_DONT_SHOW = "go_upsell_account_rate_limit_dont_show"
 const GO_UPSELL_WINDOW = 86_400_000 // 24 hrs
 const GO_UPSELL_PROVIDERS = new Set(["opencode", "opencode-go"])
+const CHATGPT_USAGE_LIMIT_WINDOW = 86_400_000 // 24 hrs
+
+export function isChatGPTUsageLimit(error: SessionStepFailed["data"]["error"]) {
+  return (
+    error.message ===
+    "ChatGPT usage limit reached. Try again after your allowance resets; check ChatGPT Settings → Usage for details."
+  )
+}

 export const GoUpsellState = Persistence.struct({
  [GO_UPSELL_FREE_TIER_LAST_SEEN_AT]: Schema.NullOr(Schema.Finite),
@@ -52,6 +60,25 @@ export function useUsageExceededDialogs() {
    [GO_UPSELL_ACCOUNT_RATE_LIMIT_LAST_SEEN_AT]: null,
    [GO_UPSELL_ACCOUNT_RATE_LIMIT_DONT_SHOW]: null,
  })
+  const [chatgptUsageLimit, setChatGPTUsageLimit] = persisted(
+    Persist.global("chatgpt-usage-limit"),
+    Persistence.struct({ lastSeenAt: Schema.NullOr(Schema.Finite) }),
+    { lastSeenAt: null },
+  )
+
+  onCleanup(
+    sdk().event.on("session.step.failed", (evt) => {
+      if (evt.data.sessionID !== params.id) return
+      if (!isChatGPTUsageLimit(evt.data.error) || dialog.active) return
+      if (chatgptUsageLimit.lastSeenAt && Date.now() - chatgptUsageLimit.lastSeenAt < CHATGPT_USAGE_LIMIT_WINDOW) return
+
+      void import("@/providers/connect/chatgpt-usage-limit").then((usage) => {
+        if (dialog.active) return
+        setChatGPTUsageLimit("lastSeenAt", Date.now())
+        dialog.show(() => <usage.DialogChatGPTUsageLimit />)
+      })
+    }),
+  )

  onCleanup(
    sdk().event.on("session.status", (evt) => {
@@ -0,0 +1,94 @@
+import { afterAll, beforeAll, expect, mock, test } from "bun:test"
+import { createRoot } from "solid-js"
+import { createStore } from "solid-js/store"
+import type { ServerSDK } from "@/runtime/server/client"
+import type { Data } from "@opencode/client/solid"
+import type { ServerConnection } from "@/runtime/server/registry"
+import { ServerScope } from "@/runtime/server/scope"
+import type { Tab } from "@/shell/tabs/tabs"
+
+const server = "local\nhttp://localhost:4096" as ServerConnection.Key
+const session = { id: "session-1", title: "Test session", location: { directory: "/project" } }
+const alerts: string[] = []
+const tabs: { store: Tab[] } = { store: [] }
+let createServerNotificationState: typeof import("./notification").createServerNotificationState
+let storage: typeof import("@/runtime/persistence/storage")
+
+beforeAll(async () => {
+  storage = await import("@/runtime/persistence/storage")
+  const { sessionIDHasOpenTab } = await import("@/shell/tabs/tabs")
+  mock.module("@/runtime/platform/platform", () => ({
+    usePlatform: () => ({
+      platform: "web",
+      notify: async (title: string) => {
+        alerts.push(title)
+      },
+    }),
+  }))
+  mock.module("@/settings/model", () => ({
+    useSettings: () => ({
+      sounds: { agentEnabled: () => false, errorsEnabled: () => false },
+      notifications: { agent: () => true, errors: () => true },
+    }),
+  }))
+  mock.module("@/runtime/i18n/language", () => ({ useLanguage: () => ({ t: (key: string) => key }) }))
+  mock.module("@/shell/tabs/tabs", () => ({
+    useTabs: () => tabs,
+    sessionIDHasOpenTab,
+  }))
+  mock.module("@/runtime/persistence/storage", () => ({
+    ...storage,
+    persisted: () => {
+      const [store, setStore] = createStore({ list: [] })
+      return [store, setStore, undefined, () => false]
+    },
+  }))
+  createServerNotificationState = (await import("./notification")).createServerNotificationState
+})
+
+afterAll(() => mock.module("@/runtime/persistence/storage", () => storage))
+
+test.each([
+  ["session.execution.succeeded", "notification.session.responseReady.title"],
+  ["session.execution.failed", "notification.session.error.title"],
+] as const)("system alert for %s requires an open session tab", async (type, title) => {
+  alerts.length = 0
+  tabs.store = [{ type: "session", server, sessionId: "another-session" }]
+  let listener: ((event: unknown) => void) | undefined
+  const dispose = createRoot((dispose) => {
+    const state = createServerNotificationState({
+      key: server,
+      sdk: {
+        scope: ServerScope.local,
+        event: {
+          listen: (fn: typeof listener) => {
+            listener = fn
+            return () => {}
+          },
+        },
+      } as unknown as ServerSDK,
+      data: { session: { get: () => session } } as unknown as Data,
+      coordinator: { system: async (_id: string, fn: () => Promise<void>) => fn() },
+    } as Parameters<typeof createServerNotificationState>[0])
+    return { dispose, state }
+  })
+
+  listener?.({
+    type,
+    id: "event-1",
+    data: { sessionID: session.id, error: { type: "api", message: "failed", status: 500 } },
+  })
+  await new Promise((resolve) => setTimeout(resolve, 0))
+  expect(dispose.state.session.all(session.id)).toHaveLength(1)
+  expect(alerts).toEqual([])
+
+  tabs.store = [{ type: "session", server, sessionId: session.id }]
+  listener?.({
+    type,
+    id: "event-2",
+    data: { sessionID: session.id, error: { type: "api", message: "failed", status: 500 } },
+  })
+  await new Promise((resolve) => setTimeout(resolve, 0))
+  expect(alerts).toEqual([title])
+  dispose.dispose()
+})
@@ -228,7 +228,8 @@ export function createServerNotificationState(input: {
      if (!session) return
      if (session.parentID) return

-      if (sessionIDHasOpenTab(tabs.store, input.key, sessionID) && settings.sounds.agentEnabled()) {
+      const hasOpenTab = sessionIDHasOpenTab(tabs.store, input.key, sessionID)
+      if (hasOpenTab && settings.sounds.agentEnabled()) {
        void input.coordinator.sound(`${input.key}\0${eventID}`, () => playSoundById(settings.sounds.agent()))
      }

@@ -240,7 +241,7 @@ export function createServerNotificationState(input: {
        session: sessionID,
      })

-      if (settings.notifications.agent()) {
+      if (hasOpenTab && settings.notifications.agent()) {
        void input.coordinator.system(`${input.key}\0${eventID}`, () =>
          platform.notify(language.t("notification.session.responseReady.title"), session.title ?? sessionID, () =>
            openNotificationSession(tabs, input.key, sessionID),
@@ -255,7 +256,8 @@ export function createServerNotificationState(input: {
      if (meta.disposed) return
      if (session?.parentID) return

-      if (sessionIDHasOpenTab(tabs.store, input.key, sessionID) && settings.sounds.errorsEnabled()) {
+      const hasOpenTab = sessionIDHasOpenTab(tabs.store, input.key, sessionID)
+      if (hasOpenTab && settings.sounds.errorsEnabled()) {
        void input.coordinator.sound(`${input.key}\0${eventID}`, () => playSoundById(settings.sounds.errors()))
      }

@@ -270,7 +272,7 @@ export function createServerNotificationState(input: {
      const description =
        session?.title ??
        (typeof error === "string" ? error : language.t("notification.session.error.fallbackDescription"))
-      if (settings.notifications.errors()) {
+      if (hasOpenTab && settings.notifications.errors()) {
        void input.coordinator.system(`${input.key}\0${eventID}`, () =>
          platform.notify(language.t("notification.session.error.title"), description, () =>
            openNotificationSession(tabs, input.key, sessionID),
@@ -1,7 +1,7 @@
 {
  "$schema": "https://json.schemastore.org/package.json",
  "name": "@opencode/cli",
-  "version": "2.0.19",
+  "version": "2.0.20",
  "type": "module",
  "license": "MIT",
  "bin": {
@@ -183,6 +183,26 @@ const Root = Spec.make(typeof OPENCODE_CLI_NAME === "string" ? OPENCODE_CLI_NAME
            ),
          },
        }),
+        Spec.make("export", {
+          description: "print stored credentials, including secrets, as JSON",
+          params: {
+            ...ServerParams,
+            target: Argument.string("target").pipe(
+              Argument.withDescription("Integration ID or name (exports every integration when omitted)"),
+              Argument.optional,
+            ),
+          },
+        }),
+        Spec.make("import", {
+          description: "import credentials exported by auth export",
+          params: {
+            ...ServerParams,
+            file: Argument.string("file").pipe(
+              Argument.withDescription("JSON file to import (reads stdin when omitted)"),
+              Argument.optional,
+            ),
+          },
+        }),
        Spec.make("switch", {
          description: "switch the active account for an integration",
          params: {
@@ -0,0 +1,31 @@
+import { EOL } from "node:os"
+import { Effect, Option } from "effect"
+import { Commands } from "../../commands"
+import { Runtime } from "../../../framework/runtime"
+import { createClient, loadIntegrations, request, resolveIntegration } from "./shared"
+import { errorMessage } from "../../../util/error"
+
+export default Runtime.handler(
+  Commands.commands.auth.commands.export,
+  Effect.fn("cli.auth.export")(
+    function* (input) {
+      const client = yield* createClient({ server: Option.getOrUndefined(input.server), standalone: input.standalone })
+      const target = Option.getOrUndefined(input.target)
+      const integrationID = target ? (yield* resolveIntegration(yield* loadIntegrations(client), target)).id : undefined
+      const credentials = (yield* request((signal) => client.credential.list({ signal }))).filter(
+        (credential) => !integrationID || credential.integrationID === integrationID,
+      )
+      if (process.stdout.isTTY)
+        process.stderr.write(
+          "Warning: the output contains secrets; redirect it to a file or pipe it to auth import" + EOL,
+        )
+      process.stdout.write(JSON.stringify(credentials, null, 2) + EOL)
+    },
+    Effect.catch((error) =>
+      Effect.sync(() => {
+        process.stderr.write(errorMessage(error) + EOL)
+        process.exitCode = 1
+      }),
+    ),
+  ),
+)
@@ -0,0 +1,58 @@
+import { EOL } from "node:os"
+import { isConflictError, type CredentialCreateInput } from "@opencode/client"
+import { Credential } from "@opencode/schema/credential"
+import { Effect, Option, Schema } from "effect"
+import { Commands } from "../../commands"
+import { Runtime } from "../../../framework/runtime"
+import { createClient, request } from "./shared"
+import { errorMessage } from "../../../util/error"
+import { readStdin } from "../../../util/io"
+
+export default Runtime.handler(
+  Commands.commands.auth.commands.import,
+  Effect.fn("cli.auth.import")(
+    function* (input) {
+      const file = Option.getOrUndefined(input.file)
+      if (!file && process.stdin.isTTY)
+        return yield* Effect.fail(new Error("Pipe auth export output into stdin or pass a file to import"))
+      const text = yield* request(() => (file ? Bun.file(file).text() : readStdin()))
+      const credentials = yield* Schema.decodeUnknownEffect(Schema.fromJsonString(Schema.Array(Credential.Entry)))(text)
+      const client = yield* createClient({ server: Option.getOrUndefined(input.server), standalone: input.standalone })
+      const existing = yield* request((signal) => client.credential.list({ signal }))
+      const ids = new Set(existing.map((credential) => credential.id))
+      const integrations = new Set(existing.map((credential) => credential.integrationID))
+      const results = yield* Effect.forEach(credentials, (credential) => {
+        if (ids.has(credential.id)) return Effect.succeed(false)
+        return request((signal) =>
+          client.credential.create(
+            {
+              id: credential.id,
+              integrationID: credential.integrationID,
+              label: credential.label,
+              // Stored metadata is JSON, but the credential schema types it as unknown while the generated client expects JSON.
+              value: credential.value as CredentialCreateInput["value"],
+              // Keep the destination's current selections; only integrations new to it adopt the exported selection.
+              activate: credential.active && !integrations.has(credential.integrationID),
+            },
+            { signal },
+          ),
+        ).pipe(
+          Effect.as(true),
+          Effect.catchIf(isConflictError, () => Effect.succeed(false)),
+        )
+      })
+      const imported = results.filter(Boolean).length
+      process.stderr.write(
+        `Imported ${imported} ${imported === 1 ? "credential" : "credentials"}` +
+          (results.length > imported ? `, skipped ${results.length - imported} already present` : "") +
+          EOL,
+      )
+    },
+    Effect.catch((error) =>
+      Effect.sync(() => {
+        process.stderr.write(errorMessage(error) + EOL)
+        process.exitCode = 1
+      }),
+    ),
+  ),
+)
@@ -4,12 +4,12 @@ import { OpenCode } from "@opencode/client"
 import { Commands } from "../../commands"
 import { Runtime } from "../../../framework/runtime"
 import { Service } from "@opencode/client/effect/service"
-import { ServiceConfig } from "../../../services/service-config"
+import { ServerConnection } from "../../../services/server-connection"

 export default Runtime.handler(
  Commands.commands.debug.commands.agents,
  Effect.fn("cli.debug.agents")(function* () {
-    const endpoint = yield* Service.ensure(yield* ServiceConfig.options())
+    const { endpoint } = yield* ServerConnection.resolve()
    const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })
    const response = yield* Effect.promise(() => client.agent.list({ location: { directory: process.cwd() } }))
    process.stdout.write(
@@ -4,13 +4,13 @@ import { OpenCode } from "@opencode/client"
 import { Service } from "@opencode/client/effect/service"
 import { Commands } from "../../commands"
 import { Runtime } from "../../../framework/runtime"
-import { ServiceConfig } from "../../../services/service-config"
+import { ServerConnection } from "../../../services/server-connection"
 import { redactConfig } from "./redact"

 export default Runtime.handler(
  Commands.commands.debug.commands.config,
  Effect.fn("cli.debug.config")(function* () {
-    const endpoint = yield* Service.ensure(yield* ServiceConfig.options())
+    const { endpoint } = yield* ServerConnection.resolve()
    const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })
    const entries = yield* Effect.promise(() => client.config.get({ location: { directory: process.cwd() } }))
    process.stdout.write(JSON.stringify(redactConfig(entries), null, 2) + EOL)
@@ -4,7 +4,7 @@ import { OpenCode, type IntegrationInfo, type IntegrationOAuthMethod, type McpSe
 import { Commands } from "../../commands"
 import { Runtime } from "../../../framework/runtime"
 import { Service } from "@opencode/client/effect/service"
-import { ServiceConfig } from "../../../services/service-config"
+import { ServerConnection } from "../../../services/server-connection"
 import { selectIntegration, type IntegrationChoice } from "../../../ui/integration-picker"
 import { handlePromptErrors, prompt, requireInteractive } from "../../../ui/prompt"
 import { answerForm } from "../auth/form"
@@ -21,7 +21,7 @@ export default Runtime.handler(
 const authenticate = Effect.fn("cli.mcp.auth.run")(function* (name?: string) {
  if (!name) yield* requireInteractive("Pass an MCP server name when running without an interactive terminal")
  intro("Authenticate an MCP server")
-  const endpoint = yield* Service.ensure(yield* ServiceConfig.options())
+  const { endpoint } = yield* ServerConnection.resolve()
  const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })
  const integrations = yield* loadIntegrations(client)
  const servers = yield* request((signal) => client.mcp.list({ location }, { signal }))
@@ -4,12 +4,12 @@ import { OpenCode, type McpServer } from "@opencode/client"
 import { Commands } from "../../commands"
 import { Runtime } from "../../../framework/runtime"
 import { Service } from "@opencode/client/effect/service"
-import { ServiceConfig } from "../../../services/service-config"
+import { ServerConnection } from "../../../services/server-connection"

 export default Runtime.handler(
  Commands.commands.mcp.commands.list,
  Effect.fn("cli.mcp.list")(function* () {
-    const endpoint = yield* Service.ensure(yield* ServiceConfig.options())
+    const { endpoint } = yield* ServerConnection.resolve()
    const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })
    const response = yield* Effect.promise(() => client.mcp.list({ location: { directory: process.cwd() } }))
    const servers = response.data.toSorted((a, b) => a.name.localeCompare(b.name))
@@ -4,7 +4,7 @@ import { OpenCode } from "@opencode/client"
 import { Commands } from "../../commands"
 import { Runtime } from "../../../framework/runtime"
 import { Service } from "@opencode/client/effect/service"
-import { ServiceConfig } from "../../../services/service-config"
+import { ServerConnection } from "../../../services/server-connection"
 import { resolveIntegration } from "./resolve"

 const location = { directory: process.cwd() }
@@ -12,7 +12,7 @@ const location = { directory: process.cwd() }
 export default Runtime.handler(
  Commands.commands.mcp.commands.logout,
  Effect.fn("cli.mcp.logout")(function* (input) {
-    const endpoint = yield* Service.ensure(yield* ServiceConfig.options())
+    const { endpoint } = yield* ServerConnection.resolve()
    const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })

    const integration = yield* resolveIntegration(client, input.name, location)
@@ -10,6 +10,10 @@ import { ServiceConfig } from "../../services/service-config"
 export default Runtime.handler(
  Commands.commands.pair,
  Effect.fn("cli.pair")(function* (input: Runtime.Input<typeof Commands.commands.pair>) {
+    if ((yield* ServiceConfig.read()).disabled === true)
+      return yield* Effect.fail(
+        new Error("Pairing requires the background service; run `opencode service unset disabled` first"),
+      )
    const endpoint = yield* Service.ensure(yield* ServiceConfig.options())
    const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })
    const urls = Option.isSome(input.url)
@@ -4,7 +4,7 @@ import { OpenCode, type PluginInfo } from "@opencode/client"
 import { Service } from "@opencode/client/effect/service"
 import { Npm } from "@opencode/util/npm"
 import { Config } from "../../../config"
-import { ServiceConfig } from "../../../services/service-config"
+import { ServerConnection } from "../../../services/server-connection"

 export interface Item {
  readonly runtime: "Server" | "TUI"
@@ -16,7 +16,7 @@ export interface Item {
 }

 export const inspect = Effect.fn("cli.plugin.inspect")(function* (selected?: string) {
-  const endpoint = yield* Service.ensure(yield* ServiceConfig.options())
+  const { endpoint } = yield* ServerConnection.resolve()
  const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })
  const location = { directory: process.cwd() }
  const listed = yield* Effect.promise(() => client.plugin.list({ location }))
@@ -5,7 +5,7 @@ import { OpenCode, type PluginInfo } from "@opencode/client"
 import { Service } from "@opencode/client/effect/service"
 import { Commands } from "../../commands"
 import { Runtime } from "../../../framework/runtime"
-import { ServiceConfig } from "../../../services/service-config"
+import { ServerConnection } from "../../../services/server-connection"
 import { Config } from "../../../config"
 import { Global } from "@opencode/util/global"
 import { Npm } from "@opencode/util/npm"
@@ -16,7 +16,7 @@ import { discoverPluginTargets, localPluginDirectories, localSource } from "@ope
 export default Runtime.handler(
  Commands.commands.plugin.commands.list,
  Effect.fn("cli.plugin.list")(function* (input) {
-    const endpoint = yield* Service.ensure(yield* ServiceConfig.options())
+    const { endpoint } = yield* ServerConnection.resolve()
    const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })
    const response = yield* Effect.promise(() => client.plugin.list({ location: { directory: process.cwd() } }))
    const config = yield* Config.Service
@@ -31,6 +31,8 @@ const Handlers = Runtime.handlers(Commands, {
    list: () => import("./commands/handlers/auth/list"),
    login: () => import("./commands/handlers/auth/login"),
    logout: () => import("./commands/handlers/auth/logout"),
+    export: () => import("./commands/handlers/auth/export"),
+    import: () => import("./commands/handlers/auth/import"),
    switch: () => import("./commands/handlers/auth/switch"),
  },
  debug: {
@@ -67,6 +67,9 @@ type FormRequest = Extract<V2Event, { type: "form.created" }>["data"]["form"]
 // attached client must not cancel input that may belong to another session.
 const GLOBAL_FORM_SESSION_ID = "global"

+const PERMISSION_REJECTED_FEEDBACK =
+  "This non-interactive run cannot ask the user for permission, so the request was rejected. Continue without this action."
+
 export async function runNonInteractivePrompt(input: Input) {
  const controller = new AbortController()
  const stream = input.client.event.subscribe({ signal: controller.signal })[Symbol.asyncIterator]()
@@ -132,10 +135,34 @@ export async function runNonInteractivePrompt(input: Input) {
    }
  }

-  const replyPermission = async (request: { id: string; action: string; resources: ReadonlyArray<string> }) => {
+  // Subagents run in child sessions; their asks and questions belong to this run too. Other
+  // sessions on a shared server (e.g. the TUI's) must be left alone.
+  const owned = new Map<string, Promise<boolean>>([[input.sessionID, Promise.resolve(true)]])
+  const ownsSession = (sessionID: string): Promise<boolean> => {
+    const known = owned.get(sessionID)
+    if (known) return known
+    const result =
+      sessionID === GLOBAL_FORM_SESSION_ID
+        ? Promise.resolve(false)
+        : input.client.session
+            .get({ sessionID })
+            .then((session) => (session.parentID ? ownsSession(session.parentID) : false))
+            .catch(() => false)
+    owned.set(sessionID, result)
+    return result
+  }
+
+  const replyPermission = async (request: {
+    id: string
+    sessionID: string
+    action: string
+    resources: ReadonlyArray<string>
+  }) => {
+    // Nobody can approve here. Outside V1 compatibility, reject with feedback so the tool fails
+    // as ordinary model-visible output and the model continues without the action.
+    const continuing = !input.auto && input.compatibility !== "v1"
    if (!input.auto) {
-      permissionRejected = true
-      if (input.compatibility !== "v1") process.exitCode = 1
+      if (!continuing) permissionRejected = true
      UI.println(
        UI.Style.TEXT_WARNING_BOLD + "!",
        UI.Style.TEXT_NORMAL +
@@ -144,12 +171,13 @@ export async function runNonInteractivePrompt(input: Input) {
    }
    await input.client.permission
      .reply({
-        sessionID: input.sessionID,
+        sessionID: request.sessionID,
        requestID: request.id,
        decision: input.auto ? "once" : "reject",
+        ...(continuing ? { message: PERMISSION_REJECTED_FEEDBACK } : {}),
      })
      .catch(() => {})
-    if (!input.auto) {
+    if (!input.auto && !continuing) {
      await input.client.session.interrupt({ sessionID: input.sessionID }).catch(() => {})
    }
  }
@@ -179,14 +207,14 @@ export async function runNonInteractivePrompt(input: Input) {
      }
      const event = next.value

-      if (event.type === "permission.asked" && submitted && event.data.sessionID === input.sessionID) {
+      if (event.type === "permission.asked" && submitted && (await ownsSession(event.data.sessionID))) {
        await replyPermission(event.data)
        continue
      }
      if (
        event.type === "form.created" &&
        submitted &&
-        (event.data.form.sessionID === input.sessionID ||
+        ((await ownsSession(event.data.form.sessionID)) ||
          (!input.attached &&
            event.data.form.sessionID === GLOBAL_FORM_SESSION_ID &&
            sameLocation(event.location, input.location)))
@@ -18,7 +18,7 @@ export type Resolved = {
  readonly service?: ReturnType<typeof managedService>
 }

-export const resolve = Effect.fn("cli.server-connection.resolve")(function* (args: Args) {
+export const resolve = Effect.fn("cli.server-connection.resolve")(function* (args: Args = {}) {
  if (args.server !== undefined && args.standalone)
    return yield* Effect.fail(new Error("--server and --standalone cannot be combined"))
  if (args.server !== undefined) {
@@ -38,7 +38,7 @@ export const resolve = Effect.fn("cli.server-connection.resolve")(function* (arg
      )
    return { endpoint } satisfies Resolved
  }
-  if (args.standalone) {
+  if (args.standalone || (yield* ServiceConfig.read()).disabled === true) {
    return { endpoint: yield* Standalone.start() } satisfies Resolved
  }

@@ -12,6 +12,7 @@ import { selfCommand } from "../util/process"
 // registration file (by channel), which version, and how to spawn opencode.

 export const Info = Schema.Struct({
+  disabled: Schema.optional(Schema.Boolean),
  hostname: Schema.optional(Schema.String),
  port: Schema.optional(Schema.Int.check(Schema.isGreaterThanOrEqualTo(1), Schema.isLessThanOrEqualTo(65_535))),
  password: Schema.optional(Schema.String),
@@ -20,7 +21,7 @@ export const Info = Schema.Struct({
 })
 export type Info = typeof Info.Type

-const keys = ["hostname", "port", "password", "cors", "env"] as const
+const keys = ["disabled", "hostname", "port", "password", "cors", "env"] as const
 type Key = (typeof keys)[number]

 const decodeInfo = Schema.decodeUnknownEffect(Schema.fromJsonString(Info))
@@ -78,7 +79,15 @@ export const migrateConfig = Effect.fnUntraced(function* (legacy: string, file:
 })

 function configKey(key: string): Key {
-  if (key === "hostname" || key === "port" || key === "password" || key === "cors" || key === "env") return key
+  if (
+    key === "disabled" ||
+    key === "hostname" ||
+    key === "port" ||
+    key === "password" ||
+    key === "cors" ||
+    key === "env"
+  )
+    return key
  throw new Error(`Unknown service config key: ${key}`)
 }

@@ -151,6 +160,9 @@ export const get = Effect.fn("cli.service-config.get")(function* (key?: string,
  const selected = configKey(key)
  if (selected !== "env" && name !== undefined) throw new Error(`Usage: opencode service get ${selected}`)
  switch (selected) {
+    case "disabled": {
+      return String((yield* read()).disabled ?? false)
+    }
    case "hostname": {
      return (yield* read()).hostname ?? ""
    }
@@ -177,6 +189,12 @@ export const set = Effect.fn("cli.service-config.set")(function* (key: string, v
  if (selected !== "env" && nestedValue !== undefined)
    throw new Error(`Usage: opencode service set ${selected} <value>`)
  switch (selected) {
+    case "disabled": {
+      if (value !== "true" && value !== "false") throw new Error("Disabled must be true or false")
+      if (value === "true") yield* Service.stop(yield* options())
+      yield* write({ ...(yield* read()), disabled: value === "true" })
+      return
+    }
    case "hostname": {
      yield* Service.stop(yield* options())
      yield* write({ ...(yield* read()), hostname: value })
@@ -221,6 +239,11 @@ export const unset = Effect.fn("cli.service-config.unset")(function* (key: strin
  const selected = configKey(key)
  if (selected !== "env" && name !== undefined) throw new Error(`Usage: opencode service unset ${selected}`)
  switch (selected) {
+    case "disabled": {
+      const { disabled: _disabled, ...next } = yield* read()
+      yield* write(next)
+      return
+    }
    case "hostname": {
      yield* Service.stop(yield* options())
      const { hostname: _hostname, ...next } = yield* read()
@@ -38,7 +38,7 @@ test("resolution groups Effect-native lifecycle operations only for the managed
        pid: process.pid,
      }),
    )
-    const resolved = await runPromise(ServerConnection.resolve({}))
+    const resolved = await runPromise(ServerConnection.resolve())

    expect(resolved.endpoint.url).toBe(server.url.toString())
    expect(resolved.service).toBeDefined()
@@ -3,7 +3,7 @@ import { Service, type Info } from "@opencode/client/effect/service"
 import { Global } from "@opencode/util/global"
 import { OPENCODE_VERSION } from "../src/version"
 import { expect, test } from "bun:test"
-import { Effect, Schema } from "effect"
+import { Effect, FileSystem, Schema } from "effect"
 import fs from "node:fs/promises"
 import os from "node:os"
 import path from "node:path"
@@ -21,6 +21,24 @@ test("managed service ports are stable per installation channel", () => {
  expect(ServiceConfig.defaultPort("preview-a")).not.toBe(ServiceConfig.defaultPort("preview-b"))
 })

+test("service disabled accepts only booleans without changing configuration on invalid input", async () => {
+  const root = await fs.mkdtemp(path.join(os.tmpdir(), "opencode-service-disabled-config-"))
+  const layer = Global.layerWith({ config: path.join(root, "config"), state: path.join(root, "state") })
+  const run = <A, E>(effect: Effect.Effect<A, E, Global.Service | FileSystem.FileSystem>) =>
+    Effect.runPromise(effect.pipe(Effect.provide(layer), Effect.provide(NodeFileSystem.layer)))
+  try {
+    expect(await run(ServiceConfig.get("disabled"))).toBe("false")
+    await expect(run(ServiceConfig.set("disabled", "yes"))).rejects.toThrow("Disabled must be true or false")
+    expect(await run(ServiceConfig.read())).toEqual({})
+    await run(ServiceConfig.set("disabled", "true"))
+    expect(await run(ServiceConfig.read())).toEqual({ disabled: true })
+    await run(ServiceConfig.unset("disabled"))
+    expect(await run(ServiceConfig.read())).toEqual({})
+  } finally {
+    await fs.rm(root, { recursive: true, force: true })
+  }
+})
+
 test("local channel stores service config with the local service filename", async () => {
  const root = await fs.mkdtemp(path.join(os.tmpdir(), "opencode-service-"))
  try {
@@ -1,7 +1,7 @@
 {
  "$schema": "https://json.schemastore.org/package.json",
  "name": "@opencode/client",
-  "version": "2.0.19",
+  "version": "2.0.20",
  "type": "module",
  "license": "MIT",
  "repository": {
@@ -710,7 +710,12 @@ export type SessionLogOutput =
            | undefined
          readonly data: {
            readonly sessionID: Session.ID
-            readonly error: { readonly type: string; readonly message: string; readonly status?: number | undefined }
+            readonly error: {
+              readonly type: string
+              readonly message: string
+              readonly status?: number | undefined
+              readonly response?: { readonly body: string } | undefined
+            }
          }
        }
      | {
@@ -902,7 +907,12 @@ export type SessionLogOutput =
          readonly data: {
            readonly sessionID: Session.ID
            readonly assistantMessageID: SessionMessage.ID
-            readonly error: { readonly type: string; readonly message: string; readonly status?: number | undefined }
+            readonly error: {
+              readonly type: string
+              readonly message: string
+              readonly status?: number | undefined
+              readonly response?: { readonly body: string } | undefined
+            }
            readonly finish?: "content-filter" | undefined
            readonly rawFinish?: string | undefined
            readonly providerState?: SessionMessage.ProviderState | undefined
@@ -1112,7 +1122,12 @@ export type SessionLogOutput =
            readonly sessionID: Session.ID
            readonly assistantMessageID: SessionMessage.ID
            readonly id: string
-            readonly error: { readonly type: string; readonly message: string; readonly status?: number | undefined }
+            readonly error: {
+              readonly type: string
+              readonly message: string
+              readonly status?: number | undefined
+              readonly response?: { readonly body: string } | undefined
+            }
            readonly content?:
              | readonly [
                  (
@@ -1157,7 +1172,12 @@ export type SessionLogOutput =
            readonly assistantMessageID: SessionMessage.ID
            readonly attempt: number
            readonly at: number
-            readonly error: { readonly type: string; readonly message: string; readonly status?: number | undefined }
+            readonly error: {
+              readonly type: string
+              readonly message: string
+              readonly status?: number | undefined
+              readonly response?: { readonly body: string } | undefined
+            }
          }
        }
      | {
@@ -1238,7 +1258,12 @@ export type SessionLogOutput =
          readonly data: {
            readonly sessionID: Session.ID
            readonly reason: "auto" | "manual"
-            readonly error: { readonly type: string; readonly message: string; readonly status?: number | undefined }
+            readonly error: {
+              readonly type: string
+              readonly message: string
+              readonly status?: number | undefined
+              readonly response?: { readonly body: string } | undefined
+            }
            readonly inputID?: SessionMessage.ID | undefined
            readonly cost?: (number & Brand.Brand<"Money.USD">) | undefined
            readonly tokens?:
@@ -1718,6 +1743,21 @@ export interface McpApi<E = never> {
  readonly resource: { readonly catalog: McpResourceCatalogOperation<E> }
 }

+export type CredentialListOutput = ReadonlyArray<Credential.Entry>
+export type CredentialListOperation<E = never> = () => Effect.Effect<CredentialListOutput, E>
+
+export type CredentialCreateInput = {
+  readonly id?: Credential.ID | undefined
+  readonly integrationID: Integration.ID
+  readonly label?: string | undefined
+  readonly value: Credential.Value
+  readonly activate?: boolean | undefined
+}
+export type CredentialCreateOutput = Credential.Entry
+export type CredentialCreateOperation<E = never> = (
+  input: CredentialCreateInput,
+) => Effect.Effect<CredentialCreateOutput, E>
+
 export type CredentialUpdateInput = { readonly credentialID: Credential.ID; readonly label: string }
 export type CredentialUpdateOutput = void
 export type CredentialUpdateOperation<E = never> = (
@@ -1737,6 +1777,8 @@ export type CredentialRemoveOperation<E = never> = (
 ) => Effect.Effect<CredentialRemoveOutput, E>

 export interface CredentialApi<E = never> {
+  readonly list: CredentialListOperation<E>
+  readonly create: CredentialCreateOperation<E>
  readonly update: CredentialUpdateOperation<E>
  readonly activate: CredentialActivateOperation<E>
  readonly remove: CredentialRemoveOperation<E>
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
Aiden Cline	8861de6282	refactor(ai): share OpenRouter Responses protocol	2026-09-29 23:50:21 -05:00
Aiden Cline	205a756f5f	feat(ai): route OpenRouter models through native APIs	2026-09-29 23:29:41 -05:00
opencode-agent[bot]andBrendonovich	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]andrekram1-node	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]rekram1-node jlongster	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]andjlongster	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]andthdxr	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]andrekram1-node	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