fix(core): sort catalog snapshot by code units for stable hashing

.github/workflows/test.yml

@@ -97,11 +97,6 @@ jobs:
         working-directory: packages/client
         run: bun run check:generated
 
-      - name: Check generated documentation
-        if: runner.os == 'Linux'
-        working-directory: packages/docs
-        run: bun run check:generated
-
   e2e:
     name: e2e (${{ matrix.settings.name }})
     if: github.ref_name != 'v2' && github.head_ref != 'v2'

bun.lock

@@ -124,7 +124,7 @@
         "opencode2": "./bin/opencode2.cjs",
       },
       "dependencies": {
-        "@agentclientprotocol/sdk": "1.2.1",
+        "@agentclientprotocol/sdk": "0.21.0",
         "@effect/platform-node": "catalog:",
         "@opencode-ai/client": "workspace:*",
         "@opencode-ai/plugin": "workspace:*",
@@ -1173,7 +1173,7 @@
 
     "@adobe/css-tools": ["@adobe/css-tools@4.5.0", "", {}, "sha512-6OzddxPio9UiWTCemp4N8cYLV2ZN1ncRnV1cVGtve7dhPOtRkleRyx32GQCYSwDYgaHU3USMm84tNsvKzRCa1Q=="],
 
-    "@agentclientprotocol/sdk": ["@agentclientprotocol/sdk@1.2.1", "", { "peerDependencies": { "zod": "^3.25.0 || ^4.0.0" } }, "sha512-jwYUdOQR7tc+Zfch53VL4JJyUNK/46q03uUTYb+PjECsmnNl94XFXOfYLJ8RBpMNidXd1rpOAVgb0vqD98xImA=="],
+    "@agentclientprotocol/sdk": ["@agentclientprotocol/sdk@0.21.0", "", { "peerDependencies": { "zod": "^3.25.0 || ^4.0.0" } }, "sha512-ONj+Q8qOdNQp5XbH5jnMwzT9IKZJsSN0p0lkceS4GtUtNOPVLpNzSS8gqQdGMKfBvA0ESbkL8BTaSN1Rc9miEw=="],
 
     "@ai-sdk/alibaba": ["@ai-sdk/alibaba@1.0.17", "", { "dependencies": { "@ai-sdk/openai-compatible": "2.0.41", "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.23" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-ZbE+U5bWz2JBc5DERLowx5+TKbjGBE93LqKZAWvuEn7HOSQMraxFMZuc0ST335QZJAyfBOzh7m1mPQ+y7EaaoA=="],
 

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

@@ -27,7 +27,6 @@ import { ToolSchemaProjection } from "./utils/tool-schema"
 import { ToolStream } from "./utils/tool-stream"
 
 const ADAPTER = "anthropic-messages"
-const MEDIA_MIMES = new Set<string>([...ProviderShared.IMAGE_MIMES, ...ProviderShared.PDF_MIMES])
 export const DEFAULT_BASE_URL = "https://api.anthropic.com/v1"
 export const PATH = "/messages"
 
@@ -57,17 +56,6 @@ const AnthropicImageBlock = Schema.Struct({
 })
 type AnthropicImageBlock = Schema.Schema.Type<typeof AnthropicImageBlock>
 
-const AnthropicDocumentBlock = Schema.Struct({
-  type: Schema.tag("document"),
-  source: Schema.Struct({
-    type: Schema.tag("base64"),
-    media_type: Schema.Literal("application/pdf"),
-    data: Schema.String,
-  }),
-  cache_control: Schema.optional(AnthropicCacheControl),
-})
-type AnthropicDocumentBlock = Schema.Schema.Type<typeof AnthropicDocumentBlock>
-
 const AnthropicThinkingBlock = Schema.Struct({
   type: Schema.tag("thinking"),
   thinking: Schema.String,
@@ -113,10 +101,13 @@ const AnthropicServerToolResultBlock = Schema.Struct({
 })
 type AnthropicServerToolResultBlock = Schema.Schema.Type<typeof AnthropicServerToolResultBlock>
 
-// Anthropic accepts either a plain string or an ordered array of text, image, and
-// document blocks inside `tool_result.content`. The array form keeps media as native
-// model input instead of JSON-stringifying base64 into prompt text.
-const AnthropicToolResultContent = Schema.Union([AnthropicTextBlock, AnthropicImageBlock, AnthropicDocumentBlock])
+// Anthropic accepts either a plain string or an ordered array of text/image
+// blocks inside `tool_result.content`. The array form is required when a tool
+// returns image bytes (screenshot, image search, etc.) so they can be passed
+// to the model as proper image inputs instead of being JSON-stringified into
+// the prompt — which silently inflates context by megabytes and can push the
+// conversation over the model's token limit.
+const AnthropicToolResultContent = Schema.Union([AnthropicTextBlock, AnthropicImageBlock])
 
 const AnthropicToolResultBlock = Schema.Struct({
   type: Schema.tag("tool_result"),
@@ -126,12 +117,7 @@ const AnthropicToolResultBlock = Schema.Struct({
   cache_control: Schema.optional(AnthropicCacheControl),
 })
 
-const AnthropicUserBlock = Schema.Union([
-  AnthropicTextBlock,
-  AnthropicImageBlock,
-  AnthropicDocumentBlock,
-  AnthropicToolResultBlock,
-])
+const AnthropicUserBlock = Schema.Union([AnthropicTextBlock, AnthropicImageBlock, AnthropicToolResultBlock])
 type AnthropicUserBlock = Schema.Schema.Type<typeof AnthropicUserBlock>
 const AnthropicAssistantBlock = Schema.Union([
   AnthropicTextBlock,
@@ -333,17 +319,12 @@ const lowerServerToolResult = Effect.fn("AnthropicMessages.lowerServerToolResult
   return { type: wireType, tool_use_id: part.id, content: part.result.value } satisfies AnthropicServerToolResultBlock
 })
 
-const lowerMedia = Effect.fn("AnthropicMessages.lowerMedia")(function* (part: MediaPart) {
-  const media = yield* ProviderShared.validateMedia("Anthropic Messages", part, MEDIA_MIMES)
-  if (media.mime === "application/pdf")
-    return {
-      type: "document" as const,
-      source: {
-        type: "base64" as const,
-        media_type: "application/pdf" as const,
-        data: media.base64,
-      },
-    } satisfies AnthropicDocumentBlock
+const lowerImage = Effect.fn("AnthropicMessages.lowerImage")(function* (part: MediaPart) {
+  const media = yield* ProviderShared.validateMedia(
+    "Anthropic Messages",
+    part,
+    new Set<string>(ProviderShared.IMAGE_MIMES),
+  )
   return {
     type: "image" as const,
     source: {
@@ -354,13 +335,25 @@ const lowerMedia = Effect.fn("AnthropicMessages.lowerMedia")(function* (part: Me
   } satisfies AnthropicImageBlock
 })
 
-// Tool results may carry structured text, images, and documents. Keep media as provider-native
+// Tool results may carry structured text/images. Keep media as provider-native
 // content instead of JSON-stringifying base64 into a prompt string.
 const lowerToolResultContentItem = Effect.fn("AnthropicMessages.lowerToolResultContentItem")(function* (
   item: ToolContent,
 ) {
   if (item.type === "text") return { type: "text" as const, text: item.text } satisfies AnthropicTextBlock
-  return yield* lowerMedia({ type: "media", mediaType: item.mime, data: item.uri, filename: item.name })
+  const media = yield* ProviderShared.validateToolFile(
+    "Anthropic Messages",
+    item,
+    new Set<string>(ProviderShared.IMAGE_MIMES),
+  )
+  return {
+    type: "image" as const,
+    source: {
+      type: "base64" as const,
+      media_type: media.mime,
+      data: media.base64,
+    },
+  } satisfies AnthropicImageBlock
 })
 
 const lowerToolResultContent = Effect.fn("AnthropicMessages.lowerToolResultContent")(function* (part: ToolResultPart) {
@@ -452,7 +445,7 @@ const lowerMessages = Effect.fn("AnthropicMessages.lowerMessages")(function* (
           continue
         }
         if (part.type === "media") {
-          content.push(yield* lowerMedia(part))
+          content.push(yield* lowerImage(part))
           continue
         }
         return yield* ProviderShared.unsupportedContent("Anthropic Messages", "user", ["text", "media"])

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

@@ -52,7 +52,6 @@ const BedrockToolResultContentItem = Schema.Union([
   Schema.Struct({ text: Schema.String }),
   Schema.Struct({ json: Schema.Unknown }),
   BedrockMedia.ImageBlock,
-  BedrockMedia.DocumentBlock,
 ])
 
 const BedrockToolResultBlock = Schema.Struct({
@@ -284,6 +283,8 @@ const lowerToolResultContent = Effect.fn("BedrockConverse.lowerToolResultContent
       data: item.uri,
       filename: item.name,
     })
+    if (!("image" in media))
+      return yield* ProviderShared.invalidRequest("Bedrock Converse only supports image media in tool results")
     content.push(media)
   }
   return content
@@ -436,22 +437,21 @@ const mapFinishReason = (reason: string): FinishReason => {
   return "unknown"
 }
 
-// AWS reports inputTokens separately from cache reads and writes.
-// Bedrock does not break reasoning out of outputTokens for current models.
+// AWS Bedrock Converse reports `inputTokens` (inclusive total) with
+// `cacheReadInputTokens` and `cacheWriteInputTokens` as subsets. Pass
+// the total through and derive the non-cached breakdown. Bedrock does
+// not break reasoning out of `outputTokens` for any current model.
 const mapUsage = (usage: BedrockUsageSchema | undefined): Usage | undefined => {
   if (!usage) return undefined
-  const inputTokens = ProviderShared.sumTokens(
-    usage.inputTokens,
-    usage.cacheReadInputTokens,
-    usage.cacheWriteInputTokens,
-  )
+  const cacheTotal = (usage.cacheReadInputTokens ?? 0) + (usage.cacheWriteInputTokens ?? 0)
+  const nonCached = ProviderShared.subtractTokens(usage.inputTokens, cacheTotal)
   return new Usage({
-    inputTokens,
+    inputTokens: usage.inputTokens,
     outputTokens: usage.outputTokens,
-    nonCachedInputTokens: usage.inputTokens,
+    nonCachedInputTokens: nonCached,
     cacheReadInputTokens: usage.cacheReadInputTokens,
     cacheWriteInputTokens: usage.cacheWriteInputTokens,
-    totalTokens: ProviderShared.totalTokens(inputTokens, usage.outputTokens, usage.totalTokens),
+    totalTokens: ProviderShared.totalTokens(usage.inputTokens, usage.outputTokens, usage.totalTokens),
     providerMetadata: { bedrock: usage },
   })
 }

packages/ai/src/protocols/gemini.ts

@@ -41,11 +41,9 @@ const GeminiInlineDataPart = Schema.Struct({
     data: Schema.String,
   }),
 })
-type GeminiInlineDataPart = Schema.Schema.Type<typeof GeminiInlineDataPart>
 
 const GeminiFunctionCallPart = Schema.Struct({
   functionCall: Schema.Struct({
-    id: Schema.optional(Schema.String),
     name: Schema.String,
     args: Schema.Unknown,
   }),
@@ -54,10 +52,8 @@ const GeminiFunctionCallPart = Schema.Struct({
 
 const GeminiFunctionResponsePart = Schema.Struct({
   functionResponse: Schema.Struct({
-    id: Schema.optional(Schema.String),
     name: Schema.String,
     response: Schema.Unknown,
-    parts: Schema.optional(Schema.Array(GeminiInlineDataPart)),
   }),
 })
 
@@ -201,13 +197,8 @@ const thoughtSignature = (providerMetadata: ProviderMetadata | undefined) => {
     : undefined
 }
 
-const functionCallId = (providerMetadata: ProviderMetadata | undefined) => {
-  const google = providerMetadata?.google
-  return ProviderShared.isRecord(google) && typeof google.functionCallId === "string" ? google.functionCallId : undefined
-}
-
 const lowerToolCall = (part: ToolCallPart) => ({
-  functionCall: { id: functionCallId(part.providerMetadata), name: part.name, args: part.input },
+  functionCall: { name: part.name, args: part.input },
   thoughtSignature: thoughtSignature(part.providerMetadata),
 })
 
@@ -264,7 +255,6 @@ const lowerMessages = Effect.fn("Gemini.lowerMessages")(function* (request: LLMR
       if (part.result.type !== "content") {
         parts.push({
           functionResponse: {
-            id: functionCallId(part.providerMetadata),
             name: part.name,
             response: {
               name: part.name,
@@ -276,23 +266,20 @@ const lowerMessages = Effect.fn("Gemini.lowerMessages")(function* (request: LLMR
       }
       const content: ReadonlyArray<ToolContent> = part.result.value
       const text = content.filter((item) => item.type === "text").map((item) => item.text)
-      const media: GeminiInlineDataPart[] = []
-      for (const item of content) {
-        if (item.type === "text") continue
-        const value = yield* ProviderShared.validateToolFile("Gemini", item, MEDIA_MIMES)
-        media.push({ inlineData: { mimeType: value.mime, data: value.base64 } })
-      }
       parts.push({
         functionResponse: {
-          id: functionCallId(part.providerMetadata),
           name: part.name,
           response: {
             name: part.name,
             content: text.join("\n"),
           },
-          parts: media.length > 0 ? media : undefined,
         },
       })
+      for (const item of content) {
+        if (item.type === "text") continue
+        const media = yield* ProviderShared.validateToolFile("Gemini", item, MEDIA_MIMES)
+        parts.push({ inlineData: { mimeType: media.mime, data: media.base64 } })
+      }
     }
     contents.push({ role: "user", parts })
   }
@@ -454,10 +441,6 @@ const step = (state: ParserState, event: GeminiEvent) => {
     if ("functionCall" in part) {
       const input = part.functionCall.args
       const id = `tool_${nextToolCallId++}`
-      const metadata = {
-        ...(part.functionCall.id === undefined ? {} : { functionCallId: part.functionCall.id }),
-        ...(part.thoughtSignature === undefined ? {} : { thoughtSignature: part.thoughtSignature }),
-      }
       lifecycle = Lifecycle.reasoningEnd(
         lifecycle,
         events,
@@ -470,7 +453,9 @@ const step = (state: ParserState, event: GeminiEvent) => {
           id,
           name: part.functionCall.name,
           input,
-          providerMetadata: Object.keys(metadata).length > 0 ? googleMetadata(metadata) : undefined,
+          providerMetadata: part.thoughtSignature
+            ? googleMetadata({ thoughtSignature: part.thoughtSignature })
+            : undefined,
         }),
       )
       hasToolCalls = true

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

@@ -11,7 +11,6 @@ import {
   type FinishReason,
   type JsonSchema,
   type LLMRequest,
-  type MediaPart,
   type ProviderMetadata,
   type ReasoningPart,
   type TextPart,
@@ -29,7 +28,6 @@ import { ToolStream } from "./utils/tool-stream"
 import { OpenAIImage } from "./utils/openai-image"
 
 const ADAPTER = "openai-responses"
-const MEDIA_MIMES = new Set<string>([...ProviderShared.IMAGE_MIMES, ...ProviderShared.PDF_MIMES])
 export const DEFAULT_BASE_URL = "https://api.openai.com/v1"
 export const PATH = "/responses"
 
@@ -44,17 +42,7 @@ const OpenAIResponsesInputImage = Schema.Struct({
   type: Schema.tag("input_image"),
   image_url: Schema.String,
 })
-const OpenAIResponsesInputFile = Schema.Struct({
-  type: Schema.tag("input_file"),
-  filename: Schema.String,
-  file_data: Schema.String,
-  mime_type: Schema.optional(Schema.String),
-})
-const OpenAIResponsesInputContent = Schema.Union([
-  OpenAIResponsesInputText,
-  OpenAIResponsesInputImage,
-  OpenAIResponsesInputFile,
-])
+const OpenAIResponsesInputContent = Schema.Union([OpenAIResponsesInputText, OpenAIResponsesInputImage])
 type OpenAIResponsesInputContent = Schema.Schema.Type<typeof OpenAIResponsesInputContent>
 
 const OpenAIResponsesOutputText = Schema.Struct({
@@ -80,13 +68,9 @@ const OpenAIResponsesItemReference = Schema.Struct({
 })
 
 // `function_call_output.output` accepts either a plain string or an ordered
-// array of content items so tools can return images and files in addition to text.
+// array of content items so tools can return images in addition to text.
 // https://platform.openai.com/docs/api-reference/responses/object
-const OpenAIResponsesFunctionCallOutputContent = Schema.Union([
-  OpenAIResponsesInputText,
-  OpenAIResponsesInputImage,
-  OpenAIResponsesInputFile,
-])
+const OpenAIResponsesFunctionCallOutputContent = Schema.Union([OpenAIResponsesInputText, OpenAIResponsesInputImage])
 
 const OpenAIResponsesFunctionCallOutput = Schema.Union([
   Schema.String,
@@ -253,7 +237,7 @@ const OpenAIResponsesEvent = Schema.Struct({
       Schema.Struct({
         id: Schema.optional(Schema.String),
         service_tier: optionalNull(Schema.String),
-        incomplete_details: optionalNull(Schema.Struct({ reason: Schema.optional(Schema.String) })),
+        incomplete_details: optionalNull(Schema.Struct({ reason: Schema.String })),
         usage: optionalNull(OpenAIResponsesUsage),
         error: optionalNull(OpenAIResponsesErrorPayload),
       }),
@@ -359,58 +343,42 @@ const hostedToolItemID = (part: ToolResultPart) => {
     : undefined
 }
 
-const lowerMedia = Effect.fn("OpenAIResponses.lowerMedia")(function* (part: MediaPart, provider: string) {
-  const media = yield* ProviderShared.validateMedia("OpenAI Responses", part, MEDIA_MIMES)
-  if (media.mime === "application/pdf") {
-    // xAI models inline bytes and MIME separately; OpenAI uses a data URL in file_data.
-    if (provider === "xai")
-      return {
-        type: "input_file" as const,
-        filename: part.filename ?? "document.pdf",
-        file_data: media.base64,
-        mime_type: media.mime,
-      }
-    return {
-      type: "input_file" as const,
-      filename: part.filename ?? "document.pdf",
-      file_data: media.dataUrl,
-    }
-  }
-  return { type: "input_image" as const, image_url: media.dataUrl }
-})
-
 const lowerUserContent = Effect.fn("OpenAIResponses.lowerUserContent")(function* (
   part: LLMRequest["messages"][number]["content"][number],
-  provider: string,
 ) {
   if (part.type === "text") return { type: "input_text" as const, text: part.text }
-  if (part.type === "media") return yield* lowerMedia(part, provider)
+  if (part.type === "media") {
+    const media = yield* ProviderShared.validateMedia(
+      "OpenAI Responses",
+      part,
+      new Set<string>(ProviderShared.IMAGE_MIMES),
+    )
+    return { type: "input_image" as const, image_url: media.dataUrl }
+  }
   return yield* ProviderShared.unsupportedContent("OpenAI Responses", "user", ["text", "media"])
 })
 
-// Tool results may carry structured text, images, and files. Keep media as provider-native
+// Tool results may carry structured text/images. Keep media as provider-native
 // content instead of JSON-stringifying base64 into a prompt string.
 const lowerToolResultContentItem = Effect.fn("OpenAIResponses.lowerToolResultContentItem")(function* (
   item: ToolContent,
-  provider: string,
 ) {
   if (item.type === "text") return { type: "input_text" as const, text: item.text }
-  return yield* lowerMedia(
-    { type: "media", mediaType: item.mime, data: item.uri, filename: item.name },
-    provider,
+  const media = yield* ProviderShared.validateToolFile(
+    "OpenAI Responses",
+    item,
+    new Set<string>(ProviderShared.IMAGE_MIMES),
   )
+  return { type: "input_image" as const, image_url: media.dataUrl }
 })
 
-const lowerToolResultOutput = Effect.fn("OpenAIResponses.lowerToolResultOutput")(function* (
-  part: ToolResultPart,
-  provider: string,
-) {
+const lowerToolResultOutput = Effect.fn("OpenAIResponses.lowerToolResultOutput")(function* (part: ToolResultPart) {
   // Text/json/error results are encoded as a plain string for backward
   // compatibility with existing cassettes and provider expectations.
   if (part.result.type !== "content") return ProviderShared.toolResultText(part)
   // Preserve the narrowed array element type when compiled through a consumer package.
   const content: ReadonlyArray<ToolContent> = part.result.value
-  return yield* Effect.forEach(content, (item) => lowerToolResultContentItem(item, provider))
+  return yield* Effect.forEach(content, lowerToolResultContentItem)
 })
 
 const lowerMessages = Effect.fn("OpenAIResponses.lowerMessages")(function* (request: LLMRequest) {
@@ -433,10 +401,7 @@ const lowerMessages = Effect.fn("OpenAIResponses.lowerMessages")(function* (requ
     }
 
     if (message.role === "user") {
-      input.push({
-        role: "user",
-        content: yield* Effect.forEach(message.content, (part) => lowerUserContent(part, request.model.provider)),
-      })
+      input.push({ role: "user", content: yield* Effect.forEach(message.content, lowerUserContent) })
       continue
     }
 
@@ -495,9 +460,7 @@ const lowerMessages = Effect.fn("OpenAIResponses.lowerMessages")(function* (requ
             const content: ReadonlyArray<ToolContent> = part.result.value
             input.push({
               role: "user",
-              content: yield* Effect.forEach(content, (item) =>
-                lowerToolResultContentItem(item, request.model.provider),
-              ),
+              content: yield* Effect.forEach(content, lowerToolResultContentItem),
             })
           }
           if (itemID) hostedToolReferences.add(itemID)
@@ -520,7 +483,7 @@ const lowerMessages = Effect.fn("OpenAIResponses.lowerMessages")(function* (requ
       input.push({
         type: "function_call_output",
         call_id: part.id,
-        output: yield* lowerToolResultOutput(part, request.model.provider),
+        output: yield* lowerToolResultOutput(part),
       })
     }
   }
@@ -602,8 +565,7 @@ const mapUsage = (usage: OpenAIResponsesUsage | null | undefined) => {
 
 const mapFinishReason = (event: OpenAIResponsesEvent, hasFunctionCall: boolean): FinishReason => {
   const reason = event.response?.incomplete_details?.reason
-  if (reason === undefined || reason === null)
-    return hasFunctionCall ? "tool-calls" : event.type === "response.incomplete" ? "unknown" : "stop"
+  if (reason === undefined || reason === null) return hasFunctionCall ? "tool-calls" : "stop"
   if (reason === "max_output_tokens") return "length"
   if (reason === "content_filter") return "content-filter"
   return hasFunctionCall ? "tool-calls" : "unknown"

packages/ai/src/protocols/shared.ts

@@ -158,8 +158,7 @@ export const parseToolInput = (route: string, name: string, raw: string) =>
 export const IMAGE_MIMES = ["image/png", "image/jpeg", "image/gif", "image/webp"] as const
 export const VIDEO_MIMES = ["video/mp4", "video/webm", "video/quicktime"] as const
 export const AUDIO_MIMES = ["audio/wav", "audio/mp3", "audio/aiff", "audio/aac", "audio/ogg", "audio/flac"] as const
-export const PDF_MIMES = ["application/pdf"] as const
-export const MEDIA_MIMES = [...IMAGE_MIMES, ...VIDEO_MIMES, ...AUDIO_MIMES, ...PDF_MIMES] as const
+export const MEDIA_MIMES = [...IMAGE_MIMES, ...VIDEO_MIMES, ...AUDIO_MIMES] as const
 export const MAX_MEDIA_ENCODED_BYTES = 28 * 1024 * 1024
 export const MAX_MEDIA_DECODED_BYTES = 20 * 1024 * 1024
 

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

@@ -49,10 +49,10 @@ const DOCUMENT_FORMATS = {
   "text/markdown": "md",
 } as const satisfies Record<string, DocumentFormat>
 
-const documentBlock = (name: string, format: DocumentFormat, bytes: string): DocumentBlock => ({
+const documentBlock = (part: MediaPart, format: DocumentFormat, bytes: string): DocumentBlock => ({
   document: {
     format,
-    name,
+    name: part.filename ?? `document.${format}`,
     source: { bytes },
   },
 })
@@ -77,14 +77,12 @@ export const lower = Effect.fn("BedrockMedia.lower")(function* (part: MediaPart)
     return yield* ProviderShared.invalidRequest(`Bedrock Converse does not support image media type ${part.mediaType}`)
   const documentFormat = DOCUMENT_FORMATS[mime as keyof typeof DOCUMENT_FORMATS]
   if (documentFormat) {
-    if (!part.filename)
-      return yield* ProviderShared.invalidRequest("Bedrock Converse document media requires a filename")
     const media = yield* ProviderShared.validateMedia(
       "Bedrock Converse",
       part,
       new Set<string>(Object.keys(DOCUMENT_FORMATS)),
     )
-    return documentBlock(part.filename, documentFormat, media.base64)
+    return documentBlock(part, documentFormat, media.base64)
   }
   return yield* ProviderShared.invalidRequest(`Bedrock Converse does not support media type ${part.mediaType}`)
 })

packages/ai/src/schema/events.ts

@@ -34,12 +34,11 @@ import { ProviderFailureClassification } from "./errors"
  *
  * **Semantics by provider**:
  *
- * - OpenAI Chat / Responses / Gemini: provider reports inclusive
+ * - OpenAI Chat / Responses / Gemini / Bedrock: provider reports inclusive
  *   `inputTokens` and an inclusive `outputTokens`; mapper subtracts to
  *   derive the breakdown.
- * - Anthropic and Bedrock report the input breakdown natively: Anthropic's
- *   `input_tokens` and Bedrock's `inputTokens` are non-cached only. Their
- *   mappers sum the breakdown to derive the inclusive `inputTokens`.
+ * - Anthropic: provider reports the breakdown natively (`input_tokens` is
+ *   non-cached only); mapper sums to derive the inclusive `inputTokens`.
  *   Anthropic does *not* break extended-thinking out of `output_tokens`, so
  *   `reasoningTokens` is `undefined` and `outputTokens` carries the
  *   combined total — a documented limitation of the Anthropic API.

packages/ai/src/tool-runtime.ts

@@ -68,29 +68,10 @@ const result = (call: ToolCallPart, value: ToolResultValueType | ToolSettlement,
     events:
       settlement.result.type === "error"
         ? [
-            LLMEvent.toolError({
-              id: call.id,
-              name: call.name,
-              message: String(settlement.result.value),
-              error,
-              providerMetadata: call.providerMetadata,
-            }),
-            LLMEvent.toolResult({
-              id: call.id,
-              name: call.name,
-              result: settlement.result,
-              providerMetadata: call.providerMetadata,
-            }),
+            LLMEvent.toolError({ id: call.id, name: call.name, message: String(settlement.result.value), error }),
+            LLMEvent.toolResult({ id: call.id, name: call.name, result: settlement.result }),
           ]
-        : [
-            LLMEvent.toolResult({
-              id: call.id,
-              name: call.name,
-              result: settlement.result,
-              output: settlement.output,
-              providerMetadata: call.providerMetadata,
-            }),
-          ],
+        : [LLMEvent.toolResult({ id: call.id, name: call.name, result: settlement.result, output: settlement.output })],
   }
 }
 

packages/ai/test/fixtures/recordings/pdf/anthropic-tool-result.json

@@ -1,35 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "tags": [
-      "prefix:pdf",
-      "pdf",
-      "provider:anthropic",
-      "protocol:anthropic-messages",
-      "tool",
-      "tool-result"
-    ],
-    "name": "pdf/anthropic-tool-result",
-    "recordedAt": "2026-07-22T18:15:39.002Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.anthropic.com/v1/messages",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"claude-haiku-4-5-20251001\",\"system\":[{\"type\":\"text\",\"text\":\"Read the PDF returned by the tool and follow the user's response format exactly.\"}],\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Return only the verification code from the PDF.\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"tool_use\",\"id\":\"call_pdf_1\",\"name\":\"read_pdf\",\"input\":{}}]},{\"role\":\"user\",\"content\":[{\"type\":\"tool_result\",\"tool_use_id\":\"call_pdf_1\",\"content\":[{\"type\":\"text\",\"text\":\"PDF read successfully\"},{\"type\":\"document\",\"source\":{\"type\":\"base64\",\"media_type\":\"application/pdf\",\"data\":\"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\"}}]}]}],\"tools\":[{\"name\":\"read_pdf\",\"description\":\"Read the attached PDF.\",\"input_schema\":{\"type\":\"object\",\"properties\":{},\"additionalProperties\":false}}],\"stream\":true,\"max_tokens\":40,\"temperature\":0}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream; charset=utf-8"
-        },
-        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"model\":\"claude-haiku-4-5-20251001\",\"id\":\"msg_011CdHYzxyRpSVFgwTm6ccUr\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"stop_reason\":null,\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":2229,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"output_tokens\":2,\"service_tier\":\"standard\",\"inference_geo\":\"not_available\"}}        }\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}              }\n\nevent: ping\ndata: {\"type\": \"ping\"}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"ORCH\"}  }\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"ID-7391\"}           }\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0               }\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\",\"stop_sequence\":null,\"stop_details\":null},\"usage\":{\"input_tokens\":2229,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"output_tokens\":9}       }\n\nevent: message_stop\ndata: {\"type\":\"message_stop\" }\n\n"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/pdf/anthropic-user-input.json

@@ -1,34 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "tags": [
-      "prefix:pdf",
-      "pdf",
-      "provider:anthropic",
-      "protocol:anthropic-messages",
-      "user-input"
-    ],
-    "name": "pdf/anthropic-user-input",
-    "recordedAt": "2026-07-22T18:15:37.979Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.anthropic.com/v1/messages",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"claude-haiku-4-5-20251001\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"document\",\"source\":{\"type\":\"base64\",\"media_type\":\"application/pdf\",\"data\":\"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\"}},{\"type\":\"text\",\"text\":\"Return only the verification code from the PDF.\"}]}],\"stream\":true,\"max_tokens\":40,\"temperature\":0}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream; charset=utf-8"
-        },
-        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"model\":\"claude-haiku-4-5-20251001\",\"id\":\"msg_011CdHYzsayb45rgfamcjFt3\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"stop_reason\":null,\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":1602,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"output_tokens\":2,\"service_tier\":\"standard\",\"inference_geo\":\"not_available\"}}           }\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}         }\n\nevent: ping\ndata: {\"type\": \"ping\"}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"ORCH\"}              }\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"ID-7391\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0      }\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\",\"stop_sequence\":null,\"stop_details\":null},\"usage\":{\"input_tokens\":1602,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"output_tokens\":9}    }\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"              }\n\n"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/pdf/bedrock-tool-result.json

@@ -1,36 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "tags": [
-      "prefix:pdf",
-      "pdf",
-      "provider:amazon-bedrock",
-      "protocol:bedrock-converse",
-      "tool",
-      "tool-result"
-    ],
-    "name": "pdf/bedrock-tool-result",
-    "recordedAt": "2026-07-22T18:15:52.400Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://bedrock-runtime.us-east-1.amazonaws.com/model/us.anthropic.claude-haiku-4-5-20251001-v1%3A0/converse-stream",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"modelId\":\"us.anthropic.claude-haiku-4-5-20251001-v1:0\",\"messages\":[{\"role\":\"user\",\"content\":[{\"text\":\"Return only the verification code from the PDF.\"}]},{\"role\":\"assistant\",\"content\":[{\"toolUse\":{\"toolUseId\":\"call_pdf_1\",\"name\":\"read_pdf\",\"input\":{}}}]},{\"role\":\"user\",\"content\":[{\"toolResult\":{\"toolUseId\":\"call_pdf_1\",\"content\":[{\"text\":\"PDF read successfully\"},{\"document\":{\"format\":\"pdf\",\"name\":\"verification\",\"source\":{\"bytes\":\"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\"}}}],\"status\":\"success\"}}]}],\"system\":[{\"text\":\"Read the PDF returned by the tool and follow the user's response format exactly.\"}],\"inferenceConfig\":{\"maxTokens\":40,\"temperature\":0},\"toolConfig\":{\"tools\":[{\"toolSpec\":{\"name\":\"read_pdf\",\"description\":\"Read the attached PDF.\",\"inputSchema\":{\"json\":{\"type\":\"object\",\"properties\":{},\"additionalProperties\":false}}}}]}}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "application/vnd.amazon.eventstream"
-        },
-        "body": "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",
-        "bodyEncoding": "base64"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/pdf/bedrock-user-input.json

@@ -1,35 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "tags": [
-      "prefix:pdf",
-      "pdf",
-      "provider:amazon-bedrock",
-      "protocol:bedrock-converse",
-      "user-input"
-    ],
-    "name": "pdf/bedrock-user-input",
-    "recordedAt": "2026-07-22T18:15:48.408Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://bedrock-runtime.us-east-1.amazonaws.com/model/us.anthropic.claude-haiku-4-5-20251001-v1%3A0/converse-stream",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"modelId\":\"us.anthropic.claude-haiku-4-5-20251001-v1:0\",\"messages\":[{\"role\":\"user\",\"content\":[{\"document\":{\"format\":\"pdf\",\"name\":\"verification\",\"source\":{\"bytes\":\"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\"}}},{\"text\":\"Return only the verification code from the PDF.\"}]}],\"inferenceConfig\":{\"maxTokens\":40,\"temperature\":0}}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "application/vnd.amazon.eventstream"
-        },
-        "body": "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",
-        "bodyEncoding": "base64"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/pdf/gemini-tool-result.json

@@ -1,53 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "tags": [
-      "prefix:pdf",
-      "pdf",
-      "provider:google",
-      "protocol:gemini",
-      "tool",
-      "tool-result"
-    ],
-    "name": "pdf/gemini-tool-result",
-    "recordedAt": "2026-07-22T18:21:59.606Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://generativelanguage.googleapis.com/v1beta/models/gemini-3.5-flash:streamGenerateContent?alt=sse",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"contents\":[{\"role\":\"user\",\"parts\":[{\"text\":\"Use read_pdf with path verification.pdf and return the verification code.\"}]}],\"systemInstruction\":{\"parts\":[{\"text\":\"Call read_pdf exactly once with path verification.pdf, then reply only with the verification code from its PDF.\"}]},\"tools\":[{\"functionDeclarations\":[{\"name\":\"read_pdf\",\"description\":\"Read the attached PDF.\",\"parameters\":{\"required\":[\"path\"],\"type\":\"object\",\"properties\":{\"path\":{\"type\":\"string\"}}}}]}],\"generationConfig\":{\"maxOutputTokens\":256,\"temperature\":0}}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
-        "body": "data: {\"candidates\": [{\"content\": {\"parts\": [{\"functionCall\": {\"name\": \"read_pdf\",\"args\": {\"path\": \"verification.pdf\"},\"id\": \"58shgmez\"},\"thoughtSignature\": \"EqkCCqYCARFNMg/JrCTv5i3zYENFBVpZNFL3pbzJmi5Eu387ncF703xFMB4pwyaP7a1gi49EqBhCI2hWOpesU5nZQOLAhGgExKGa2GM+HzpEB5g62r0NFblm/BGkVZaImTuHR7bytfRC5jHQlHKo4OS27OLUVjvkMkBIYsvjhDErY7niERbXJVpyxTVqUf1GgZMSu8kC9/5WDlMs9xVKNT/6KMW4PhhSR9nXg4KZUa+bC03/ydhsWWgBa5aLCgvTq7WPj217xIsmUkSiRedIffPsUSNjYdMHUvWi8bOlvM1veEEP6GIfv5h9gXXzjnHbEHfQxV8PZuBAyY7iM6nqyfkJNdkZ1HdB7DXMBsMsRN6SgrIrFoXX2WaGrkoEI5tdZx1t/gdwF1jEVT6k\"}],\"role\": \"model\"},\"index\": 0}],\"usageMetadata\": {\"promptTokenCount\": 81,\"candidatesTokenCount\": 18,\"totalTokenCount\": 151,\"promptTokensDetails\": [{\"modality\": \"TEXT\",\"tokenCount\": 81}],\"thoughtsTokenCount\": 52,\"serviceTier\": \"standard\"},\"modelVersion\": \"gemini-3.5-flash\",\"responseId\": \"RAphaui3OaSHz7IPy8Kb4Ak\"}\r\n\r\ndata: {\"candidates\": [{\"content\": {\"parts\": [{\"text\": \"\"}],\"role\": \"model\"},\"finishReason\": \"STOP\",\"index\": 0}],\"usageMetadata\": {\"promptTokenCount\": 81,\"candidatesTokenCount\": 18,\"totalTokenCount\": 151,\"promptTokensDetails\": [{\"modality\": \"TEXT\",\"tokenCount\": 81}],\"thoughtsTokenCount\": 52,\"serviceTier\": \"standard\"},\"modelVersion\": \"gemini-3.5-flash\",\"responseId\": \"RAphaui3OaSHz7IPy8Kb4Ak\"}\r\n\r\n"
-      }
-    },
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://generativelanguage.googleapis.com/v1beta/models/gemini-3.5-flash:streamGenerateContent?alt=sse",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"contents\":[{\"role\":\"user\",\"parts\":[{\"text\":\"Use read_pdf with path verification.pdf and return the verification code.\"}]},{\"role\":\"model\",\"parts\":[{\"functionCall\":{\"id\":\"58shgmez\",\"name\":\"read_pdf\",\"args\":{\"path\":\"verification.pdf\"}},\"thoughtSignature\":\"EqkCCqYCARFNMg/JrCTv5i3zYENFBVpZNFL3pbzJmi5Eu387ncF703xFMB4pwyaP7a1gi49EqBhCI2hWOpesU5nZQOLAhGgExKGa2GM+HzpEB5g62r0NFblm/BGkVZaImTuHR7bytfRC5jHQlHKo4OS27OLUVjvkMkBIYsvjhDErY7niERbXJVpyxTVqUf1GgZMSu8kC9/5WDlMs9xVKNT/6KMW4PhhSR9nXg4KZUa+bC03/ydhsWWgBa5aLCgvTq7WPj217xIsmUkSiRedIffPsUSNjYdMHUvWi8bOlvM1veEEP6GIfv5h9gXXzjnHbEHfQxV8PZuBAyY7iM6nqyfkJNdkZ1HdB7DXMBsMsRN6SgrIrFoXX2WaGrkoEI5tdZx1t/gdwF1jEVT6k\"}]},{\"role\":\"user\",\"parts\":[{\"functionResponse\":{\"id\":\"58shgmez\",\"name\":\"read_pdf\",\"response\":{\"name\":\"read_pdf\",\"content\":\"PDF read successfully\"},\"parts\":[{\"inlineData\":{\"mimeType\":\"application/pdf\",\"data\":\"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\"}}]}}]}],\"systemInstruction\":{\"parts\":[{\"text\":\"Call read_pdf exactly once with path verification.pdf, then reply only with the verification code from its PDF.\"}]},\"tools\":[{\"functionDeclarations\":[{\"name\":\"read_pdf\",\"description\":\"Read the attached PDF.\",\"parameters\":{\"required\":[\"path\"],\"type\":\"object\",\"properties\":{\"path\":{\"type\":\"string\"}}}}]}],\"generationConfig\":{\"maxOutputTokens\":256,\"temperature\":0}}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
-        "body": "data: {\"candidates\": [{\"content\": {\"parts\": [{\"text\": \"ORCHID-7391\"}],\"role\": \"model\"},\"index\": 0}],\"usageMetadata\": {\"promptTokenCount\": 123,\"candidatesTokenCount\": 8,\"totalTokenCount\": 184,\"promptTokensDetails\": [{\"modality\": \"TEXT\",\"tokenCount\": 123}],\"thoughtsTokenCount\": 53,\"serviceTier\": \"standard\"},\"modelVersion\": \"gemini-3.5-flash\",\"responseId\": \"RgphaoL6CMjQz7IPjOnEmQI\"}\r\n\r\ndata: {\"candidates\": [{\"content\": {\"parts\": [{\"text\": \"\",\"thoughtSignature\": \"EqECCp4CARFNMg9obBl8O6iU9lawUIWiE+1vztZm9NtaT9FuyJz343hd9ruz+xPco4Q1DY1GF81ZiSI2ElBkt8Wfwsqtix9LNGSMvbZhhk/ZnB54t05M/Dft1kujcMvEdZUWUI/jWaJ349tO1bKVH9MacG5+gl0n4y8DwyQZSV3xIcet547drSkcA/TM03RB+yj1/dcLHsvUjmv9EnO897vZgO2Dk4tbZ2NyCtOeQ3JKVhUTLg2pjkGk+POCNiOdESWiUzxdQKw9LiV6nnzi071tXNiMeVimq6d7xAzRVNapI2uXynvn9Uk3eyn85purOFa8cKriK9oD6vcyGMqgd9+gu2m3to0IHqd7o+2YSr1m5qV1xT1R2/WRQEtb1b1AuOAU6w==\"}],\"role\": \"model\"},\"finishReason\": \"STOP\",\"index\": 0}],\"usageMetadata\": {\"promptTokenCount\": 1277,\"candidatesTokenCount\": 8,\"totalTokenCount\": 1338,\"promptTokensDetails\": [{\"modality\": \"IMAGE\",\"tokenCount\": 1102},{\"modality\": \"TEXT\",\"tokenCount\": 175}],\"thoughtsTokenCount\": 53,\"serviceTier\": \"standard\"},\"modelVersion\": \"gemini-3.5-flash\",\"responseId\": \"RgphaoL6CMjQz7IPjOnEmQI\"}\r\n\r\n"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/pdf/gemini-user-input.json

@@ -1,34 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "tags": [
-      "prefix:pdf",
-      "pdf",
-      "provider:google",
-      "protocol:gemini",
-      "user-input"
-    ],
-    "name": "pdf/gemini-user-input",
-    "recordedAt": "2026-07-22T18:20:55.140Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://generativelanguage.googleapis.com/v1beta/models/gemini-3.5-flash:streamGenerateContent?alt=sse",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"contents\":[{\"role\":\"user\",\"parts\":[{\"inlineData\":{\"mimeType\":\"application/pdf\",\"data\":\"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\"}},{\"text\":\"Return only the verification code from the PDF.\"}]}],\"generationConfig\":{\"maxOutputTokens\":256,\"temperature\":0}}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
-        "body": "data: {\"candidates\": [{\"content\": {\"parts\": [{\"text\": \"ORCH\"}],\"role\": \"model\"},\"index\": 0}],\"usageMetadata\": {\"promptTokenCount\": 10,\"candidatesTokenCount\": 2,\"totalTokenCount\": 127,\"promptTokensDetails\": [{\"modality\": \"TEXT\",\"tokenCount\": 10}],\"thoughtsTokenCount\": 115,\"serviceTier\": \"standard\"},\"modelVersion\": \"gemini-3.5-flash\",\"responseId\": \"BQpharW2KaPgz7IP6uSLiAw\"}\r\n\r\ndata: {\"candidates\": [{\"content\": {\"parts\": [{\"text\": \"ID-7391\"}],\"role\": \"model\"},\"index\": 0}],\"usageMetadata\": {\"promptTokenCount\": 10,\"candidatesTokenCount\": 8,\"totalTokenCount\": 133,\"promptTokensDetails\": [{\"modality\": \"TEXT\",\"tokenCount\": 10}],\"thoughtsTokenCount\": 115,\"serviceTier\": \"standard\"},\"modelVersion\": \"gemini-3.5-flash\",\"responseId\": \"BQpharW2KaPgz7IP6uSLiAw\"}\r\n\r\ndata: {\"candidates\": [{\"content\": {\"parts\": [{\"text\": \"\",\"thoughtSignature\": \"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\"}],\"role\": \"model\"},\"finishReason\": \"STOP\",\"index\": 0}],\"usageMetadata\": {\"promptTokenCount\": 530,\"candidatesTokenCount\": 8,\"totalTokenCount\": 653,\"promptTokensDetails\": [{\"modality\": \"IMAGE\",\"tokenCount\": 520},{\"modality\": \"TEXT\",\"tokenCount\": 10}],\"thoughtsTokenCount\": 115,\"serviceTier\": \"standard\"},\"modelVersion\": \"gemini-3.5-flash\",\"responseId\": \"BQpharW2KaPgz7IP6uSLiAw\"}\r\n\r\n"
-      }
-    }
-  ]
-}

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

@@ -59,12 +59,7 @@ export const runTools = <T extends Tools>(options: RunOptions<T>) =>
             ...request.messages,
             Message.assistant(state.assistantContent),
             ...dispatched.map(([call, dispatched]) =>
-              Message.tool({
-                id: call.id,
-                name: call.name,
-                result: dispatched.result,
-                providerMetadata: call.providerMetadata,
-              }),
+              Message.tool({ id: call.id, name: call.name, result: dispatched.result }),
             ),
           ],
         })

packages/ai/test/provider/anthropic-messages.test.ts

@@ -235,9 +235,9 @@ describe("Anthropic Messages route", () => {
     }),
   )
 
-  // Regression: read tool results must stay structured so base64 media data is
-  // not JSON-stringified into `tool_result.content`.
-  it.effect("lowers media tool-result content as structured blocks", () =>
+  // Regression: screenshot/read tool results must stay structured so base64
+  // image data is not JSON-stringified into `tool_result.content`.
+  it.effect("lowers image tool-result content as structured image blocks", () =>
     Effect.gen(function* () {
       const prepared = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
         LLM.request({
@@ -253,7 +253,6 @@ describe("Anthropic Messages route", () => {
               result: [
                 { type: "text", text: "Image read successfully" },
                 { type: "file", uri: "data:image/png;base64,AAECAw==", mime: "image/png" },
-                { type: "file", uri: "data:application/pdf;base64,JVBERi0xLjQ=", mime: "application/pdf" },
               ],
             }),
           ],
@@ -264,7 +263,6 @@ describe("Anthropic Messages route", () => {
       expect(expectToolResult(prepared.body).content).toEqual([
         { type: "text", text: "Image read successfully" },
         { type: "image", source: { type: "base64", media_type: "image/png", data: "AAECAw==" } },
-        { type: "document", source: { type: "base64", media_type: "application/pdf", data: "JVBERi0xLjQ=" } },
       ])
     }),
   )
@@ -294,7 +292,7 @@ describe("Anthropic Messages route", () => {
     }),
   )
 
-  it.effect("rejects unsupported media in tool-result content with a clear error", () =>
+  it.effect("rejects non-image media in tool-result content with a clear error", () =>
     Effect.gen(function* () {
       const error = yield* LLMClient.prepare(
         LLM.request({
@@ -758,7 +756,7 @@ describe("Anthropic Messages route", () => {
     }),
   )
 
-  it.effect("continues a conversation with user media content", () =>
+  it.effect("continues a conversation with user image content", () =>
     Effect.gen(function* () {
       const response = yield* LLMClient.generate(
         LLM.request({
@@ -768,7 +766,6 @@ describe("Anthropic Messages route", () => {
             Message.user([
               { type: "text", text: "What is in this image?" },
               { type: "media", mediaType: "image/png", data: "AAECAw==" },
-              { type: "media", mediaType: "application/pdf", data: "JVBERi0xLjQ=", filename: "report.pdf" },
             ]),
           ],
         }),
@@ -784,7 +781,6 @@ describe("Anthropic Messages route", () => {
                     content: [
                       { type: "text", text: "What is in this image?" },
                       { type: "image", source: { type: "base64", media_type: "image/png", data: "AAECAw==" } },
-                      { type: "document", source: { type: "base64", media_type: "application/pdf", data: "JVBERi0xLjQ=" } },
                     ],
                   },
                 ],

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

@@ -13,8 +13,12 @@ const RECORDING_REGION = process.env.BEDROCK_RECORDING_REGION ?? "us-east-1"
 // call wouldn't deterministically prove cache mapping works. Override with
 // BEDROCK_CACHE_MODEL_ID if your account has access elsewhere.
 const model = AmazonBedrock.configure({
-  apiKey: process.env.AWS_BEARER_TOKEN_BEDROCK ?? "fixture",
-  region: RECORDING_REGION,
+  credentials: {
+    region: RECORDING_REGION,
+    accessKeyId: process.env.AWS_ACCESS_KEY_ID ?? "fixture",
+    secretAccessKey: process.env.AWS_SECRET_ACCESS_KEY ?? "fixture",
+    sessionToken: process.env.AWS_SESSION_TOKEN,
+  },
 }).model(process.env.BEDROCK_CACHE_MODEL_ID ?? "us.anthropic.claude-haiku-4-5-20251001-v1:0")
 
 const cacheRequest = LLM.request({
@@ -32,7 +36,7 @@ const recorded = recordedTests({
   prefix: "bedrock-converse-cache",
   provider: "amazon-bedrock",
   protocol: "bedrock-converse",
-  requires: ["AWS_BEARER_TOKEN_BEDROCK"],
+  requires: ["AWS_ACCESS_KEY_ID", "AWS_SECRET_ACCESS_KEY"],
   // Two identical requests in one cassette — replay walks the cassette in
   // recording order so the second call replays the cached-hit interaction.
 })
@@ -41,20 +45,10 @@ describe("Bedrock Converse cache recorded", () => {
   recorded.effect.with("writes then reads cachePoint on identical second call", { tags: ["cache"] }, () =>
     Effect.gen(function* () {
       const first = yield* LLMClient.generate(cacheRequest)
-      expect(first.usage?.cacheWriteInputTokens ?? 0).toBeGreaterThan(0)
-      expect(first.usage?.inputTokens).toBe(
-        (first.usage?.nonCachedInputTokens ?? 0) +
-          (first.usage?.cacheReadInputTokens ?? 0) +
-          (first.usage?.cacheWriteInputTokens ?? 0),
-      )
+      expect(first.usage?.cacheReadInputTokens ?? 0).toBeGreaterThanOrEqual(0)
 
       const second = yield* LLMClient.generate(cacheRequest)
       expect(second.usage?.cacheReadInputTokens ?? 0).toBeGreaterThan(0)
-      expect(second.usage?.inputTokens).toBe(
-        (second.usage?.nonCachedInputTokens ?? 0) +
-          (second.usage?.cacheReadInputTokens ?? 0) +
-          (second.usage?.cacheWriteInputTokens ?? 0),
-      )
     }),
   )
 })

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

@@ -269,39 +269,6 @@ describe("Bedrock Converse route", () => {
     }),
   )
 
-  it.effect("adds cache reads and writes to Bedrock input usage", () =>
-    Effect.gen(function* () {
-      const body = eventStreamBody(
-        ["messageStart", { role: "assistant" }],
-        ["contentBlockDelta", { contentBlockIndex: 0, delta: { text: "Hello" } }],
-        ["contentBlockStop", { contentBlockIndex: 0 }],
-        ["messageStop", { stopReason: "end_turn" }],
-        [
-          "metadata",
-          {
-            usage: {
-              inputTokens: 5,
-              outputTokens: 2,
-              totalTokens: 12,
-              cacheReadInputTokens: 3,
-              cacheWriteInputTokens: 2,
-            },
-          },
-        ],
-      )
-      const response = yield* LLMClient.generate(baseRequest).pipe(Effect.provide(fixedBytes(body)))
-
-      expect(response.usage).toMatchObject({
-        inputTokens: 10,
-        nonCachedInputTokens: 5,
-        cacheReadInputTokens: 3,
-        cacheWriteInputTokens: 2,
-        outputTokens: 2,
-        totalTokens: 12,
-      })
-    }),
-  )
-
   it.effect("assembles streamed tool call input", () =>
     Effect.gen(function* () {
       const body = eventStreamBody(
@@ -582,12 +549,10 @@ describe("Bedrock Converse route", () => {
         LLM.request({
           id: "req_doc",
           model,
-          cache: "none",
           messages: [
             Message.user([
-              { type: "text", text: "Summarize these documents." },
               { type: "media", mediaType: "application/pdf", data: "UERGREFUQQ==", filename: "report.pdf" },
-              { type: "media", mediaType: "text/csv", data: "Q1NWREFUQQ==", filename: "data.csv" },
+              { type: "media", mediaType: "text/csv", data: "Q1NWREFUQQ==" },
             ]),
           ],
         }),
@@ -598,9 +563,10 @@ describe("Bedrock Converse route", () => {
           {
             role: "user",
             content: [
-              { text: "Summarize these documents." },
+              // Filename round-trips when supplied.
               { document: { format: "pdf", name: "report.pdf", source: { bytes: "UERGREFUQQ==" } } },
-              { document: { format: "csv", name: "data.csv", source: { bytes: "Q1NWREFUQQ==" } } },
+              // Falls back to a stable placeholder when filename is missing.
+              { document: { format: "csv", name: "document.csv", source: { bytes: "Q1NWREFUQQ==" } } },
             ],
           },
         ],
@@ -608,96 +574,6 @@ describe("Bedrock Converse route", () => {
     }),
   )
 
-  it.effect("requires names for document media", () =>
-    Effect.gen(function* () {
-      const error = yield* LLMClient.prepare(
-        LLM.request({
-          model,
-          messages: [Message.user({ type: "media", mediaType: "application/pdf", data: "UERGREFUQQ==" })],
-        }),
-      ).pipe(Effect.flip)
-
-      expect(error.message).toContain("document media requires a filename")
-    }),
-  )
-
-  it.effect("passes named document-only messages through for provider validation", () =>
-    Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<BedrockConverse.BedrockConverseBody>(
-        LLM.request({
-          model,
-          cache: "none",
-          messages: [
-            Message.user({
-              type: "media",
-              mediaType: "application/pdf",
-              data: "UERGREFUQQ==",
-              filename: "report.pdf",
-            }),
-          ],
-        }),
-      )
-
-      expect(prepared.body.messages).toEqual([
-        {
-          role: "user",
-          content: [{ document: { format: "pdf", name: "report.pdf", source: { bytes: "UERGREFUQQ==" } } }],
-        },
-      ])
-    }),
-  )
-
-  it.effect("lowers document media in tool results", () =>
-    Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<BedrockConverse.BedrockConverseBody>(
-        LLM.request({
-          model,
-          messages: [
-            Message.assistant([ToolCallPart.make({ id: "call_1", name: "read", input: { path: "report.pdf" } })]),
-            Message.tool({
-              id: "call_1",
-              name: "read",
-              result: {
-                type: "content",
-                value: [
-                  { type: "text", text: "Read successfully" },
-                  {
-                    type: "file",
-                    uri: "data:application/pdf;base64,UERGREFUQQ==",
-                    mime: "application/pdf",
-                    name: "report",
-                  },
-                ],
-              },
-            }),
-          ],
-        }),
-      )
-
-      expect(prepared.body.messages).toEqual([
-        {
-          role: "assistant",
-          content: [{ toolUse: { toolUseId: "call_1", name: "read", input: { path: "report.pdf" } } }],
-        },
-        {
-          role: "user",
-          content: [
-            {
-              toolResult: {
-                toolUseId: "call_1",
-                status: "success",
-                content: [
-                  { text: "Read successfully" },
-                  { document: { format: "pdf", name: "report", source: { bytes: "UERGREFUQQ==" } } },
-                ],
-              },
-            },
-          ],
-        },
-      ])
-    }),
-  )
-
   it.effect("rejects unsupported image media types", () =>
     Effect.gen(function* () {
       const error = yield* LLMClient.prepare(

packages/ai/test/provider/gemini.test.ts

@@ -70,7 +70,6 @@ describe("Gemini route", () => {
             Message.user([
               { type: "text", text: "What is in this image?" },
               { type: "media", mediaType: "image/png", data: "AAECAw==" },
-              { type: "media", mediaType: "application/pdf", data: "JVBERi0xLjQ=" },
             ]),
             Message.assistant([ToolCallPart.make({ id: "call_1", name: "lookup", input: { query: "weather" } })]),
             Message.tool({ id: "call_1", name: "lookup", result: { forecast: "sunny" } }),
@@ -82,11 +81,7 @@ describe("Gemini route", () => {
         contents: [
           {
             role: "user",
-            parts: [
-              { text: "What is in this image?" },
-              { inlineData: { mimeType: "image/png", data: "AAECAw==" } },
-              { inlineData: { mimeType: "application/pdf", data: "JVBERi0xLjQ=" } },
-            ],
+            parts: [{ text: "What is in this image?" }, { inlineData: { mimeType: "image/png", data: "AAECAw==" } }],
           },
           {
             role: "model",
@@ -95,12 +90,7 @@ describe("Gemini route", () => {
           {
             role: "user",
             parts: [
-              {
-                functionResponse: {
-                  name: "lookup",
-                  response: { name: "lookup", content: '{"forecast":"sunny"}' },
-                },
-              },
+              { functionResponse: { name: "lookup", response: { name: "lookup", content: '{"forecast":"sunny"}' } } },
             ],
           },
         ],
@@ -120,7 +110,7 @@ describe("Gemini route", () => {
     }),
   )
 
-  it.effect("continues media tool results as inline model input without base64 text", () =>
+  it.effect("continues image tool results as inline vision input without base64 text", () =>
     Effect.gen(function* () {
       const prepared = yield* LLMClient.prepare<Gemini.GeminiBody>(
         LLM.request({
@@ -135,7 +125,6 @@ describe("Gemini route", () => {
                 value: [
                   { type: "text", text: "Image read successfully" },
                   { type: "file", uri: "data:image/png;base64,AAECAw==", mime: "image/png", name: "pixel.png" },
-                  { type: "file", uri: "data:application/pdf;base64,JVBERi0xLjQ=", mime: "application/pdf" },
                 ],
               },
             }),
@@ -152,12 +141,9 @@ describe("Gemini route", () => {
               functionResponse: {
                 name: "read",
                 response: { name: "read", content: "Image read successfully" },
-                parts: [
-                  { inlineData: { mimeType: "image/png", data: "AAECAw==" } },
-                  { inlineData: { mimeType: "application/pdf", data: "JVBERi0xLjQ=" } },
-                ],
               },
             },
+            { inlineData: { mimeType: "image/png", data: "AAECAw==" } },
           ],
         },
       ])
@@ -188,13 +174,8 @@ describe("Gemini route", () => {
         {
           role: "user",
           parts: [
-            {
-              functionResponse: {
-                name: "read",
-                response: { name: "read", content: "" },
-                parts: [{ inlineData: { mimeType: "image/jpeg", data: "/9j/" } }],
-              },
-            },
+            { functionResponse: { name: "read", response: { name: "read", content: "" } } },
+            { inlineData: { mimeType: "image/jpeg", data: "/9j/" } },
           ],
         },
       ])
@@ -391,10 +372,7 @@ describe("Gemini route", () => {
               parts: [
                 { text: "thinking", thought: true },
                 { text: "", thought: true, thoughtSignature: "thought_sig" },
-                {
-                  functionCall: { id: "provider_call", name: "lookup", args: { query: "weather" } },
-                  thoughtSignature: "tool_sig",
-                },
+                { functionCall: { name: "lookup", args: { query: "weather" } }, thoughtSignature: "tool_sig" },
               ],
             },
             finishReason: "STOP",
@@ -420,10 +398,7 @@ describe("Gemini route", () => {
         id: "reasoning-0",
         providerMetadata: { google: { thoughtSignature: "thought_sig" } },
       })
-      expect(toolCall).toMatchObject({
-        id: "tool_0",
-        providerMetadata: { google: { functionCallId: "provider_call", thoughtSignature: "tool_sig" } },
-      })
+      expect(toolCall).toMatchObject({ providerMetadata: { google: { thoughtSignature: "tool_sig" } } })
       expect(response.events.findIndex((event) => event.type === "reasoning-end")).toBeLessThan(
         response.events.findIndex((event) => event.type === "tool-call"),
       )
@@ -441,13 +416,6 @@ describe("Gemini route", () => {
                 providerMetadata: toolCall?.providerMetadata,
               }),
             ]),
-            Message.tool({
-              id: "tool_0",
-              name: "lookup",
-              result: "done",
-              resultType: "text",
-              providerMetadata: toolCall?.providerMetadata,
-            }),
           ],
         }),
       )
@@ -456,22 +424,7 @@ describe("Gemini route", () => {
           role: "model",
           parts: [
             { text: "thinking", thought: true, thoughtSignature: "thought_sig" },
-            {
-              functionCall: { id: "provider_call", name: "lookup", args: { query: "weather" } },
-              thoughtSignature: "tool_sig",
-            },
-          ],
-        },
-        {
-          role: "user",
-          parts: [
-            {
-              functionResponse: {
-                id: "provider_call",
-                name: "lookup",
-                response: { name: "lookup", content: "done" },
-              },
-            },
+            { functionCall: { name: "lookup", args: { query: "weather" } }, thoughtSignature: "tool_sig" },
           ],
         },
       ])
@@ -545,7 +498,7 @@ describe("Gemini route", () => {
             content: {
               role: "model",
               parts: [
-                { functionCall: { id: "tool_0", name: "lookup", args: { query: "weather" } } },
+                { functionCall: { name: "lookup", args: { query: "weather" } } },
                 { functionCall: { name: "lookup", args: { query: "news" } } },
               ],
             },
@@ -560,13 +513,7 @@ describe("Gemini route", () => {
       ).pipe(Effect.provide(fixedResponse(body)))
 
       expect(response.toolCalls).toEqual([
-        {
-          type: "tool-call",
-          id: "tool_0",
-          name: "lookup",
-          input: { query: "weather" },
-          providerMetadata: { google: { functionCallId: "tool_0" } },
-        },
+        { type: "tool-call", id: "tool_0", name: "lookup", input: { query: "weather" } },
         { type: "tool-call", id: "tool_1", name: "lookup", input: { query: "news" } },
       ])
       expect(response.events.at(-1)).toMatchObject({ type: "finish", reason: "tool-calls" })

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

@@ -5,7 +5,6 @@ import { LLM, LLMError, LLMEvent, Message, Model, ToolCallPart, ToolResultPart,
 import { Auth, LLMClient, RequestExecutor, WebSocketExecutor } from "../../src/route"
 import * as Azure from "../../src/providers/azure"
 import * as OpenAI from "../../src/providers/openai"
-import * as XAI from "../../src/providers/xai"
 import * as OpenAIResponses from "../../src/protocols/openai-responses"
 import * as ProviderShared from "../../src/protocols/shared"
 import { continuationRequest, nativeOpenAIResponsesContinuation } from "../continuation-scenarios"
@@ -17,8 +16,6 @@ const model = OpenAIResponses.route
   .with({ endpoint: { baseURL: "https://api.openai.test/v1/" }, auth: Auth.bearer("test") })
   .model({ id: "gpt-4.1-mini" })
 
-const xaiModel = XAI.configure({ apiKey: "test", baseURL: "https://api.x.ai/v1" }).responses("grok-4.5")
-
 const request = LLM.request({
   id: "req_1",
   model,
@@ -527,77 +524,7 @@ describe("OpenAI Responses route", () => {
     }),
   )
 
-  it.effect("lowers PDF tool-result content as structured input_file array", () =>
-    Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
-        LLM.request({
-          id: "req_tool_result_pdf",
-          model,
-          messages: [
-            Message.assistant([ToolCallPart.make({ id: "call_1", name: "read", input: {} })]),
-            Message.tool({
-              id: "call_1",
-              name: "read",
-              resultType: "content",
-              result: [
-                {
-                  type: "file",
-                  uri: "data:application/pdf;base64,JVBERi0xLjQ=",
-                  mime: "application/pdf",
-                  name: "report.pdf",
-                },
-              ],
-            }),
-          ],
-        }),
-      )
-
-      expect(expectToolOutput(prepared.body).output).toEqual([
-        {
-          type: "input_file",
-          filename: "report.pdf",
-          file_data: "data:application/pdf;base64,JVBERi0xLjQ=",
-        },
-      ])
-    }),
-  )
-
-  it.effect("uses xAI inline file encoding for PDF tool results", () =>
-    Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
-        LLM.request({
-          model: xaiModel,
-          messages: [
-            Message.assistant([ToolCallPart.make({ id: "call_1", name: "read", input: {} })]),
-            Message.tool({
-              id: "call_1",
-              name: "read",
-              resultType: "content",
-              result: [
-                {
-                  type: "file",
-                  uri: "data:application/pdf;base64,JVBERi0xLjQ=",
-                  mime: "application/pdf",
-                  name: "report.pdf",
-                },
-              ],
-            }),
-          ],
-        }),
-      )
-
-      expect(expectToolOutput(prepared.body).output).toEqual([
-        {
-          type: "input_file",
-          filename: "report.pdf",
-          file_data: "JVBERi0xLjQ=",
-          mime_type: "application/pdf",
-        },
-      ])
-    }),
-  )
-
-  it.effect("rejects unsupported media in tool-result content with a clear error", () =>
+  it.effect("rejects non-image media in tool-result content with a clear error", () =>
     Effect.gen(function* () {
       const error = yield* LLMClient.prepare(
         LLM.request({
@@ -870,32 +797,6 @@ describe("OpenAI Responses route", () => {
     }),
   )
 
-  it.effect("maps incomplete response reasons", () =>
-    Effect.gen(function* () {
-      const generate = (incompleteDetails: object) =>
-        LLMClient.generate(request).pipe(
-          Effect.provide(
-            fixedResponse(
-              sseEvents({
-                type: "response.incomplete",
-                response: { id: "resp_incomplete", incomplete_details: incompleteDetails },
-              }),
-            ),
-          ),
-        )
-
-      const length = yield* generate({ reason: "max_output_tokens" })
-      const contentFilter = yield* generate({ reason: "content_filter" })
-      const unknown = yield* generate({})
-
-      expect([length.finishReason, contentFilter.finishReason, unknown.finishReason]).toEqual([
-        "length",
-        "content-filter",
-        "unknown",
-      ])
-    }),
-  )
-
   // OpenAI's documented stream orders output text within one message item; no
   // provider-valid same-kind overlap is evidenced, so done boundaries close it.
   it.effect("closes sequential output messages before starting the next", () =>
@@ -1625,64 +1526,20 @@ describe("OpenAI Responses route", () => {
     }),
   )
 
-  it.effect("lowers user image and PDF content", () =>
+  it.effect("lowers user image content", () =>
     Effect.gen(function* () {
       const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
         LLM.request({
           id: "req_media",
           model,
-          messages: [
-            Message.user([
-              { type: "media", mediaType: "image/png", data: "AAECAw==" },
-              { type: "media", mediaType: "application/pdf", data: "JVBERi0xLjQ=", filename: "report.pdf" },
-            ]),
-          ],
+          messages: [Message.user({ type: "media", mediaType: "image/png", data: "AAECAw==" })],
         }),
       )
 
       expect(prepared.body.input).toEqual([
         {
           role: "user",
-          content: [
-            { type: "input_image", image_url: "data:image/png;base64,AAECAw==" },
-            {
-              type: "input_file",
-              filename: "report.pdf",
-              file_data: "data:application/pdf;base64,JVBERi0xLjQ=",
-            },
-          ],
-        },
-      ])
-    }),
-  )
-
-  it.effect("uses xAI inline file encoding for user PDFs", () =>
-    Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
-        LLM.request({
-          model: xaiModel,
-          messages: [
-            Message.user({
-              type: "media",
-              mediaType: "application/pdf",
-              data: "data:application/pdf;base64,JVBERi0xLjQ=",
-              filename: "report.pdf",
-            }),
-          ],
-        }),
-      )
-
-      expect(prepared.body.input).toEqual([
-        {
-          role: "user",
-          content: [
-            {
-              type: "input_file",
-              filename: "report.pdf",
-              file_data: "JVBERi0xLjQ=",
-              mime_type: "application/pdf",
-            },
-          ],
+          content: [{ type: "input_image", image_url: "data:image/png;base64,AAECAw==" }],
         },
       ])
     }),
@@ -1694,11 +1551,11 @@ describe("OpenAI Responses route", () => {
         LLM.request({
           id: "req_media",
           model,
-          messages: [Message.user({ type: "media", mediaType: "application/x-tar", data: "AAECAw==" })],
+          messages: [Message.user({ type: "media", mediaType: "application/pdf", data: "AAECAw==" })],
         }),
       ).pipe(Effect.flip)
 
-      expect(error.message).toContain("OpenAI Responses does not support media type application/x-tar")
+      expect(error.message).toContain("OpenAI Responses does not support media type application/pdf")
     }),
   )
 

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

@@ -1,207 +0,0 @@
-import { describe, expect } from "bun:test"
-import { Effect, Schema, Stream } from "effect"
-import { LLM, LLMResponse, Message, ToolDefinition, type Model } from "../../src"
-import { AmazonBedrock, Anthropic, Google, OpenAI, XAI } from "../../src/providers"
-import { LLMClient } from "../../src/route"
-import { Tool } from "../../src/tool"
-import { runTools } from "../lib/tool-runtime"
-import { recordedTests } from "../recorded-test"
-
-const CODE = "ORCHID-7391"
-const PDF =
-  "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"
-
-const openai = OpenAI.configure({ apiKey: process.env.OPENAI_API_KEY ?? "fixture" })
-const anthropic = Anthropic.configure({ apiKey: process.env.ANTHROPIC_API_KEY ?? "fixture" })
-const google = Google.configure({ apiKey: process.env.GOOGLE_API_KEY ?? "fixture" })
-const xai = XAI.configure({ apiKey: process.env.XAI_API_KEY ?? "fixture" })
-const bedrock = AmazonBedrock.configure({
-  apiKey: process.env.AWS_BEDROCK_API_KEY ?? "fixture",
-  region: process.env.AWS_REGION ?? "us-east-1",
-})
-
-const targets: ReadonlyArray<{
-  readonly id: string
-  readonly name: string
-  readonly provider: string
-  readonly protocol: string
-  readonly requires: string
-  readonly filename: string
-  readonly maxTokens: number
-  readonly model: Model
-}> = [
-  {
-    id: "openai",
-    name: "OpenAI Responses gpt-4o-mini",
-    provider: "openai",
-    protocol: "openai-responses",
-    requires: "OPENAI_API_KEY",
-    filename: "verification.pdf",
-    maxTokens: 40,
-    model: openai.responses("gpt-4o-mini"),
-  },
-  {
-    id: "anthropic",
-    name: "Anthropic Haiku 4.5",
-    provider: "anthropic",
-    protocol: "anthropic-messages",
-    requires: "ANTHROPIC_API_KEY",
-    filename: "verification.pdf",
-    maxTokens: 40,
-    model: anthropic.model("claude-haiku-4-5-20251001"),
-  },
-  {
-    id: "gemini",
-    name: "Gemini 3.5 Flash",
-    provider: "google",
-    protocol: "gemini",
-    requires: "GOOGLE_API_KEY",
-    filename: "verification.pdf",
-    maxTokens: 256,
-    model: google.model("gemini-3.5-flash"),
-  },
-  {
-    id: "xai",
-    name: "xAI Grok 4.5",
-    provider: "xai",
-    protocol: "openai-responses",
-    requires: "XAI_API_KEY",
-    filename: "verification.pdf",
-    maxTokens: 40,
-    model: xai.responses("grok-4.5"),
-  },
-  {
-    id: "bedrock",
-    name: "Bedrock Claude Haiku 4.5",
-    provider: "amazon-bedrock",
-    protocol: "bedrock-converse",
-    requires: "AWS_BEDROCK_API_KEY",
-    filename: "verification",
-    maxTokens: 40,
-    model: bedrock.model("us.anthropic.claude-haiku-4-5-20251001-v1:0"),
-  },
-]
-
-const recorded = recordedTests({ prefix: "pdf", tags: ["pdf"] })
-const prompt = "Return only the verification code from the PDF."
-const readPdf = ToolDefinition.make({
-  name: "read_pdf",
-  description: "Read the attached PDF.",
-  inputSchema: { type: "object", properties: {}, additionalProperties: false },
-})
-const readPdfRuntime = Tool.make({
-  description: readPdf.description,
-  parameters: Schema.Struct({ path: Schema.String }),
-  success: Schema.String,
-  execute: () => Effect.succeed("PDF read successfully"),
-  toModelOutput: () => [
-    { type: "text", text: "PDF read successfully" },
-    {
-      type: "file",
-      uri: `data:application/pdf;base64,${PDF}`,
-      mime: "application/pdf",
-      name: "verification.pdf",
-    },
-  ],
-})
-
-const expectCode = (response: LLMResponse) => {
-  expect(response.finishReason).toBe("stop")
-  expect(response.text.toUpperCase()).toContain(CODE)
-}
-
-describe("PDF recorded", () => {
-  for (const target of targets) {
-    recorded.effect.with(
-      `reads a user PDF with ${target.name}`,
-      {
-        id: `${target.id}-user-input`,
-        provider: target.provider,
-        protocol: target.protocol,
-        requires: [target.requires],
-        tags: ["user-input"],
-      },
-      Effect.gen(function* () {
-        expectCode(
-          yield* LLMClient.generate(
-            LLM.request({
-              id: `recorded_pdf_${target.id}_user_input`,
-              model: target.model,
-              cache: "none",
-              generation: { maxTokens: target.maxTokens, temperature: 0 },
-              messages: [
-                Message.user([
-                  { type: "media", mediaType: "application/pdf", data: PDF, filename: target.filename },
-                  { type: "text", text: prompt },
-                ]),
-              ],
-            }),
-          ),
-        )
-      }),
-    )
-
-    recorded.effect.with(
-      `reads a PDF tool result with ${target.name}`,
-      {
-        id: `${target.id}-tool-result`,
-        provider: target.provider,
-        protocol: target.protocol,
-        requires: [target.requires],
-        tags: ["tool", "tool-result"],
-      },
-      Effect.gen(function* () {
-        if (target.id === "gemini") {
-          const events = Array.from(
-            yield* runTools({
-              request: LLM.request({
-                id: "recorded_pdf_gemini_tool_result",
-                model: target.model,
-                system:
-                  "Call read_pdf exactly once with path verification.pdf, then reply only with the verification code from its PDF.",
-                prompt: "Use read_pdf with path verification.pdf and return the verification code.",
-                cache: "none",
-                generation: { maxTokens: target.maxTokens, temperature: 0 },
-              }),
-              tools: { read_pdf: readPdfRuntime },
-            }).pipe(Stream.runCollect),
-          )
-          expect(events.at(-1)).toMatchObject({ type: "finish", reason: "stop" })
-          expect(LLMResponse.text({ events }).toUpperCase()).toContain(CODE)
-          return
-        }
-
-        expectCode(
-          yield* LLMClient.generate(
-            LLM.request({
-              id: `recorded_pdf_${target.id}_tool_result`,
-              model: target.model,
-              system: "Read the PDF returned by the tool and follow the user's response format exactly.",
-              cache: "none",
-              generation: { maxTokens: target.maxTokens, temperature: 0 },
-              messages: [
-                Message.user(prompt),
-                Message.assistant([{ type: "tool-call", id: "call_pdf_1", name: readPdf.name, input: {} }]),
-                Message.tool({
-                  id: "call_pdf_1",
-                  name: readPdf.name,
-                  resultType: "content",
-                  result: [
-                    { type: "text", text: "PDF read successfully" },
-                    {
-                      type: "file",
-                      uri: `data:application/pdf;base64,${PDF}`,
-                      mime: "application/pdf",
-                      name: target.filename,
-                    },
-                  ],
-                }),
-              ],
-              tools: [readPdf],
-            }),
-          ),
-        )
-      }),
-    )
-  }
-})

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

@@ -183,51 +183,6 @@ describe("LLMClient tools", () => {
     }),
   )
 
-  it.effect("preserves provider metadata on dispatched tool results", () =>
-    Effect.gen(function* () {
-      const tool = Tool.make({
-        description: "Return text.",
-        parameters: Schema.Struct({}),
-        success: Schema.String,
-        execute: () => Effect.succeed("hello"),
-      })
-      const providerMetadata = { google: { functionCallId: "provider_call" } }
-      const dispatched = yield* ToolRuntime.dispatch(
-        { tool },
-        LLMEvent.toolCall({ id: "call_1", name: "tool", input: {}, providerMetadata }),
-      )
-
-      expect(dispatched.events).toEqual([
-        LLMEvent.toolResult({
-          id: "call_1",
-          name: "tool",
-          result: { type: "text", value: "hello" },
-          output: { structured: "hello", content: [{ type: "text", text: "hello" }] },
-          providerMetadata,
-        }),
-      ])
-
-      const failed = yield* ToolRuntime.dispatch(
-        {},
-        LLMEvent.toolCall({ id: "call_2", name: "missing", input: {}, providerMetadata }),
-      )
-      expect(failed.events).toEqual([
-        LLMEvent.toolError({
-          id: "call_2",
-          name: "missing",
-          message: "Unknown tool: missing",
-          providerMetadata,
-        }),
-        LLMEvent.toolResult({
-          id: "call_2",
-          name: "missing",
-          result: { type: "error", value: "Unknown tool: missing" },
-          providerMetadata,
-        }),
-      ])
-    }),
-  )
-
   it.effect("uses the narrow default projection for encoded typed success", () =>
     Effect.gen(function* () {
       const text = Tool.make({

packages/app/e2e/regression/session-timeline-lifecycle-state.spec.ts

@@ -32,23 +32,6 @@ for (const expanded of [false, true]) {
   })
 }
 
-test("shows and expands a running shell command without shimmering it", async ({ page }) => {
-  const id = "prt_shell_running_command"
-  const command = "sleep 10 && echo done"
-  await setupTimeline(page, {
-    messages: [userMessage(), assistantMessage([shell(id, "running", "still running", command)], { completed: false })],
-    settings: { shellToolPartsExpanded: false },
-  })
-
-  const tool = page.locator(`[data-timeline-part-id="${id}"]`)
-  await expect(tool.locator('[data-component="text-shimmer"]')).toHaveAttribute("data-active", "true")
-  await expect(tool.locator('[data-component="shell-submessage"]')).toHaveText(command)
-  await expect(tool.locator('[data-component="shell-submessage"] [data-component="text-shimmer"]')).toHaveCount(0)
-  await tool.locator('[data-slot="collapsible-trigger"]').click()
-  await expect(tool.locator('[data-slot="collapsible-trigger"]')).toHaveAttribute("aria-expanded", "true")
-  await expect(tool.locator('[data-slot="bash-pre"]')).toContainText("still running")
-})
-
 test("transitions thinking and hidden reasoning through busy to idle", async ({ page }) => {
   const reasoningID = "prt_reasoning_hidden"
   const assistant = assistantMessage([reasoningPart(reasoningID, "## Inspecting stability")], { completed: false })

packages/app/src/pages/layout/project-avatar-state.ts

@@ -13,6 +13,7 @@ export function useSessionTabAvatarState(
   const global = useGlobal()
   const notification = useNotification()
   const permission = usePermission()
+  const permissionState = createMemo(() => permission.ensureServerState(server()))
   const connection = createMemo(() => global.servers.list().find((item) => ServerConnection.key(item) === server()))
   const sync = createMemo(() => {
     const conn = connection()
@@ -21,10 +22,9 @@ export function useSessionTabAvatarState(
   const hasPermissions = createMemo(() => {
     const serverSync = sync()
     if (!serverSync) return false
-    const permissionState = permission.ensureServerState(server())
     const [store] = serverSync.child(directory(), { bootstrap: false })
     return !!sessionPermissionRequest(store.session, serverSync.session.data.permission, sessionId(), (item) => {
-      return !permissionState.autoResponds(item, directory())
+      return !permissionState().autoResponds(item, directory())
     })
   })
   const hasQuestions = createMemo(() => {
@@ -34,11 +34,9 @@ export function useSessionTabAvatarState(
     return !!sessionQuestionRequest(store.session, serverSync.session.data.question, sessionId())
   })
   const needsAttention = createMemo(() => hasPermissions() || hasQuestions())
-  const notificationState = createMemo(() => {
-    if (!connection()) return
-    return notification.ensureServerState(server())
-  })
-  const unread = createMemo(() => needsAttention() || (notificationState()?.session.unseenCount(sessionId()) ?? 0) > 0)
+  const unread = createMemo(
+    () => needsAttention() || notification.ensureServerState(server()).session.unseenCount(sessionId()) > 0,
+  )
   const loading = createMemo(() => {
     const serverSync = sync()
     if (!serverSync) return false

packages/cli/package.json

@@ -22,7 +22,7 @@
     "typecheck": "tsgo --noEmit"
   },
   "dependencies": {
-    "@agentclientprotocol/sdk": "1.2.1",
+    "@agentclientprotocol/sdk": "0.21.0",
     "@effect/platform-node": "catalog:",
     "@opencode-ai/client": "workspace:*",
     "@opencode-ai/plugin": "workspace:*",

packages/cli/src/acp/agent.ts

@@ -5,7 +5,6 @@ import {
   type AuthenticateRequest,
   type CancelNotification,
   type CloseSessionRequest,
-  type DeleteSessionRequest,
   type ForkSessionRequest,
   type InitializeRequest,
   type ListSessionsRequest,
@@ -14,6 +13,7 @@ import {
   type PromptRequest,
   type ResumeSessionRequest,
   type SetSessionConfigOptionRequest,
+  type SetSessionModelRequest,
   type SetSessionModeRequest,
 } from "@agentclientprotocol/sdk"
 import type { OpenCodeClient } from "@opencode-ai/client/promise"
@@ -28,12 +28,12 @@ export function create(client: OpenCodeClient, connection: AgentSideConnection)
     newSession: (params: NewSessionRequest) => run(service.newSession(params)),
     loadSession: (params: LoadSessionRequest) => run(service.loadSession(params)),
     listSessions: (params: ListSessionsRequest) => run(service.listSessions(params)),
-    deleteSession: (params: DeleteSessionRequest) => run(service.deleteSession(params)),
     resumeSession: (params: ResumeSessionRequest) => run(service.resumeSession(params)),
     closeSession: (params: CloseSessionRequest) => run(service.closeSession(params)),
     unstable_forkSession: (params: ForkSessionRequest) => run(service.forkSession(params)),
     setSessionConfigOption: (params: SetSessionConfigOptionRequest) => run(service.setSessionConfigOption(params)),
     setSessionMode: (params: SetSessionModeRequest) => run(service.setSessionMode(params)),
+    unstable_setSessionModel: (params: SetSessionModelRequest) => run(service.setSessionModel(params)),
     prompt: (params: PromptRequest) => run(service.prompt(params)),
     cancel: (params: CancelNotification) => run(service.cancel(params)),
   } satisfies Agent

packages/cli/src/acp/event.ts

@@ -47,7 +47,7 @@ export async function streamTurn(input: {
   readonly sessionID: string
   readonly cwd: string
   readonly start: TurnStart
-  readonly writeTextFile: boolean
+  readonly userMessageID?: string | null
   readonly submit: (signal: AbortSignal) => Promise<unknown>
   readonly control: TurnControl
 }): Promise<PromptResponse> {
@@ -170,7 +170,6 @@ export async function streamTurn(input: {
         tools.delete(event.data.callID)
         await syncEditedFiles({
           connection: input.connection,
-          writeTextFile: input.writeTextFile,
           sessionID: input.sessionID,
           cwd: input.cwd,
           toolName: current.name,
@@ -232,7 +231,7 @@ export async function streamTurn(input: {
       if (!started) {
         streamController.abort()
         await completed.catch(() => {})
-        return response(undefined, undefined, "interrupted", true, undefined)
+        return response(undefined, undefined, "interrupted", true, undefined, input.userMessageID)
       }
     }
     const terminal = await completed
@@ -247,6 +246,7 @@ export async function streamTurn(input: {
       terminal,
       control.cancelled,
       finish,
+      input.userMessageID,
     )
   } catch (error) {
     streamController.abort()
@@ -400,6 +400,7 @@ function response(
   terminal: "succeeded" | "failed" | "interrupted",
   cancelled: boolean,
   finish: SessionMessageAssistant["finish"],
+  messageID: string | null | undefined,
 ): PromptResponse {
   const error = assistant?.error ?? executionError
   if (error?.type === "provider.auth") throw new ACPError.AuthRequiredError()
@@ -422,7 +423,7 @@ function response(
       }
     : undefined
   const stopReason = resolveStopReason({ terminal, cancelled, finish, error: error?.type })
-  return { stopReason, ...(usage ? { usage } : {}), _meta: {} }
+  return { stopReason, ...(usage ? { usage } : {}), ...(messageID ? { userMessageId: messageID } : {}), _meta: {} }
 }
 
 function resolveStopReason(input: {

packages/cli/src/acp/permission.ts

@@ -53,14 +53,13 @@ export async function replyPermission(input: {
 
 export async function syncEditedFiles(input: {
   readonly connection: Partial<Pick<AgentSideConnection, "writeTextFile">>
-  readonly writeTextFile: boolean
   readonly sessionID: string
   readonly cwd: string
   readonly toolName: string
   readonly toolInput: ToolInput
   readonly structured: Readonly<Record<string, unknown>>
 }) {
-  if (!input.writeTextFile || !input.connection.writeTextFile || toToolKind(input.toolName) !== "edit") return
+  if (!input.connection.writeTextFile || toToolKind(input.toolName) !== "edit") return
   const files = Array.isArray(input.structured.files)
     ? input.structured.files.flatMap((file): string[] => {
         if (!file || typeof file !== "object") return []

packages/cli/src/acp/service.ts

@@ -16,8 +16,6 @@ import type {
   CancelNotification,
   CloseSessionRequest,
   CloseSessionResponse,
-  DeleteSessionRequest,
-  DeleteSessionResponse,
   ForkSessionRequest,
   ForkSessionResponse,
   InitializeRequest,
@@ -35,6 +33,8 @@ import type {
   ResumeSessionResponse,
   SetSessionConfigOptionRequest,
   SetSessionConfigOptionResponse,
+  SetSessionModelRequest,
+  SetSessionModelResponse,
   SetSessionModeRequest,
   SetSessionModeResponse,
 } from "@agentclientprotocol/sdk"
@@ -47,8 +47,7 @@ import { ACPError } from "./error"
 
 export const AuthMethodID = "opencode-login"
 
-type Connection = Pick<AgentSideConnection, "sessionUpdate" | "requestPermission"> &
-  Partial<Pick<AgentSideConnection, "writeTextFile">>
+type Connection = Pick<AgentSideConnection, "sessionUpdate" | "requestPermission">
 
 type Catalog = {
   readonly providers: ConfigOptionProvider[]
@@ -84,12 +83,12 @@ export interface Interface {
   newSession(input: NewSessionRequest): Promise<NewSessionResponse>
   loadSession(input: LoadSessionRequest): Promise<LoadSessionResponse>
   listSessions(input: ListSessionsRequest): Promise<ListSessionsResponse>
-  deleteSession(input: DeleteSessionRequest): Promise<DeleteSessionResponse>
   resumeSession(input: ResumeSessionRequest): Promise<ResumeSessionResponse>
   closeSession(input: CloseSessionRequest): Promise<CloseSessionResponse>
   forkSession(input: ForkSessionRequest): Promise<ForkSessionResponse>
   setSessionConfigOption(input: SetSessionConfigOptionRequest): Promise<SetSessionConfigOptionResponse>
   setSessionMode(input: SetSessionModeRequest): Promise<SetSessionModeResponse>
+  setSessionModel(input: SetSessionModelRequest): Promise<SetSessionModelResponse>
   prompt(input: PromptRequest): Promise<PromptResponse>
   cancel(input: CancelNotification): Promise<void>
 }
@@ -99,7 +98,6 @@ export function make(input: { readonly client: OpenCodeClient; readonly connecti
   const catalogs = new Map<string, Promise<Catalog>>()
   const registeredMcp = new Map<string, Set<string>>()
   const active = new Map<string, TurnControl>()
-  const capabilities = { writeTextFile: false }
 
   const catalog = (cwd: string) => {
     const cached = catalogs.get(cwd)
@@ -159,7 +157,6 @@ export function make(input: { readonly client: OpenCodeClient; readonly connecti
 
   return {
     initialize: async (params) => {
-      capabilities.writeTextFile = params.clientCapabilities?.fs?.writeTextFile === true
       const authMethod: AuthMethod = {
         description: "Run `opencode auth login` in the terminal",
         name: "Login with opencode",
@@ -176,7 +173,7 @@ export function make(input: { readonly client: OpenCodeClient; readonly connecti
           loadSession: true,
           mcpCapabilities: { http: true, sse: false },
           promptCapabilities: { embeddedContext: true, image: true },
-          sessionCapabilities: { close: {}, delete: {}, fork: {}, list: {}, resume: {} },
+          sessionCapabilities: { close: {}, fork: {}, list: {}, resume: {} },
         },
         authMethods: [authMethod],
         agentInfo: { name: "OpenCode", version: OPENCODE_VERSION },
@@ -219,14 +216,6 @@ export function make(input: { readonly client: OpenCodeClient; readonly connecti
         ...(page.cursor.next ? { nextCursor: page.cursor.next } : {}),
       }
     },
-    deleteSession: async (params) => {
-      await input.client.session.remove({ sessionID: params.sessionId }).catch((error) => {
-        if (!isSessionNotFoundError(error)) throw error
-      })
-      sessions.delete(params.sessionId)
-      registeredMcp.delete(params.sessionId)
-      return {}
-    },
     resumeSession: async (params) => {
       const session = await getSession(input.client, params.sessionId)
       const state = await attach(session, session.location.directory, params.mcpServers ?? [])
@@ -281,6 +270,13 @@ export function make(input: { readonly client: OpenCodeClient; readonly connecti
       await selectMode(input.client, await requireSession(params.sessionId), params.modeId)
       return {}
     },
+    setSessionModel: async (params) => {
+      const state = await requireSession(params.sessionId)
+      const selected = requireModel(state.catalog, params.modelId)
+      state.model = selected
+      await input.client.session.switchModel({ sessionID: state.id, model: selected })
+      return {}
+    },
     prompt: async (params) => {
       const state = await requireSession(params.sessionId)
       if (active.has(state.id)) {
@@ -299,7 +295,7 @@ export function make(input: { readonly client: OpenCodeClient; readonly connecti
         sessionID: state.id,
         cwd: state.cwd,
         start: prepared.start,
-        writeTextFile: capabilities.writeTextFile,
+        userMessageID: params.messageId,
         control,
         submit: (signal) => submitPrompt(input.client, state, prepared, signal),
       }).finally(() => {
@@ -483,7 +479,6 @@ async function registerMcpServers(
 
 function mcpConfig(server: McpServer) {
   if ("type" in server) {
-    if (server.type === "acp") throw new Error("MCP-over-ACP is not supported")
     return {
       type: "remote" as const,
       url: server.url,

packages/cli/src/commands/commands.ts

@@ -140,11 +140,11 @@ export const Commands = Spec.make(typeof OPENCODE_CLI_NAME === "string" ? OPENCO
           Flag.withDefault(false),
         ),
         replay: Flag.boolean("replay").pipe(
-          Flag.withDescription("Restore session history on resume and resize (disable with --no-replay)"),
-          Flag.optional,
+          Flag.withDescription("Replay session history on resume and after resize"),
+          Flag.withDefault(true),
         ),
         replayLimit: Flag.integer("replay-limit").pipe(
-          Flag.withDescription("Limit replay to the newest N messages (default: 200)"),
+          Flag.withDescription("Cap visible replay to the newest N messages"),
           Flag.optional,
         ),
         model: Flag.string("model").pipe(

packages/cli/src/commands/handlers/mini.ts

@@ -28,8 +28,8 @@ export default Runtime.handler(Commands.commands.mini, (input) =>
         model: Option.getOrUndefined(input.model),
         agent: Option.getOrUndefined(input.agent),
         prompt: Option.getOrUndefined(input.prompt),
-        replay: Option.getOrUndefined(input.replay) ?? resolved.mini?.replay ?? true,
-        replayLimit: Option.getOrUndefined(input.replayLimit) ?? resolved.mini?.replay_limit,
+        replay: input.replay,
+        replayLimit: Option.getOrUndefined(input.replayLimit),
         demo: input.demo,
         tuiConfig: resolved,
         config: {

packages/cli/test/acp/event-behavior.test.ts

@@ -439,7 +439,6 @@ describe("acp event behavior", () => {
       sessionID: "ses_cancel",
       cwd: "/workspace",
       start: { type: "input", id: "input_cancel" },
-      writeTextFile: false,
       control,
       submit: async (signal) => {
         await fixture.client.session.prompt(
@@ -482,7 +481,6 @@ describe("acp event behavior", () => {
       sessionID: "ses_cancel_admission",
       cwd: "/workspace",
       start: { type: "input", id: "input_cancel_admission" },
-      writeTextFile: false,
       control,
       submit: (signal) =>
         fixture.client.session.prompt(
@@ -568,7 +566,7 @@ function turn(input: {
     sessionID: input.sessionID,
     cwd: "/workspace",
     start: { type: "input", id: input.inputID },
-    writeTextFile: false,
+    userMessageID: `client_${input.inputID}`,
     control: { cancelled: false, admission: new AbortController() },
     submit: (signal) =>
       input.fixture.client.session.prompt({ sessionID: input.sessionID, id: input.inputID, text: "hello" }, { signal }),

packages/cli/test/acp/event.test.ts

@@ -85,6 +85,7 @@ test("acp prompt resolves after ordered turn updates", async () => {
 
   try {
     const id = "msg_prompt"
+    const userMessageID = "client-message"
     const response = await streamTurn({
       client,
       connection: {
@@ -96,7 +97,7 @@ test("acp prompt resolves after ordered turn updates", async () => {
       sessionID: "ses_test",
       cwd: "/workspace",
       start: { type: "input", id },
-      writeTextFile: false,
+      userMessageID,
       control: { cancelled: false, admission: new AbortController() },
       submit: () => client.session.prompt({ sessionID: "ses_test", id, text: "hi" }),
     })
@@ -111,7 +112,7 @@ test("acp prompt resolves after ordered turn updates", async () => {
         },
       },
     ])
-    expect(response).toMatchObject({ stopReason: "end_turn", usage: { totalTokens: 2 } })
+    expect(response).toMatchObject({ stopReason: "end_turn", userMessageId: userMessageID, usage: { totalTokens: 2 } })
   } finally {
     events?.close()
     await server.stop(true)

packages/cli/test/acp/initialize-auth.subprocess.test.ts

@@ -14,7 +14,6 @@ describe("acp initialize/auth subprocess", () => {
     expect(initialized.agentCapabilities?.mcpCapabilities?.sse).toBe(false)
     expect(initialized.agentCapabilities?.loadSession).toBe(true)
     expect(initialized.agentCapabilities?.sessionCapabilities?.close).toEqual({})
-    expect(initialized.agentCapabilities?.sessionCapabilities?.delete).toEqual({})
     expect(initialized.agentCapabilities?.sessionCapabilities?.fork).toEqual({})
     expect(initialized.agentCapabilities?.sessionCapabilities?.list).toEqual({})
     expect(initialized.agentCapabilities?.sessionCapabilities?.resume).toEqual({})

packages/cli/test/acp/lifecycle.subprocess.test.ts

@@ -1,6 +1,5 @@
 import type {
   CloseSessionResponse,
-  DeleteSessionResponse,
   ListSessionsResponse,
   LoadSessionResponse,
   ResumeSessionResponse,
@@ -61,20 +60,6 @@ describe("acp lifecycle subprocess", () => {
     expect(listed.sessions.some((item) => item.sessionId === session.sessionId)).toBe(true)
   }, 60_000)
 
-  test("delete capability and delete request", async () => {
-    await using fixture = await createAcpFixture()
-    const acp = fixture.spawn()
-    const initialized = await initialize(acp)
-    expect(initialized.agentCapabilities?.sessionCapabilities?.delete).toEqual({})
-    const session = await newSession(acp, fixture.home)
-
-    expect(
-      expectOk(await acp.request<DeleteSessionResponse>("session/delete", { sessionId: session.sessionId })),
-    ).toEqual({})
-    const listed = expectOk(await acp.request<ListSessionsResponse>("session/list", { cwd: fixture.home }))
-    expect(listed.sessions.some((item) => item.sessionId === session.sessionId)).toBe(false)
-  }, 60_000)
-
   test("resume capability advertisement", async () => {
     await using fixture = await createAcpFixture()
     const initialized = await initialize(fixture.spawn())

packages/cli/test/acp/permission-behavior.test.ts

@@ -4,7 +4,6 @@ import fs from "node:fs/promises"
 import os from "node:os"
 import path from "node:path"
 import { streamTurn } from "../../src/acp/event"
-import { syncEditedFiles } from "../../src/acp/permission"
 import { createSseFixture, durableEvent, ephemeralEvent, withTimeout } from "./sse-fixture"
 
 type SessionUpdateParams = Parameters<AgentSideConnection["sessionUpdate"]>[0]
@@ -13,27 +12,6 @@ type Connection = Pick<AgentSideConnection, "sessionUpdate" | "requestPermission
 type Fixture = ReturnType<typeof createSseFixture>
 
 describe("acp permission behavior", () => {
-  test("does not sync edits when writeTextFile was not advertised", async () => {
-    const writes: Parameters<AgentSideConnection["writeTextFile"]>[0][] = []
-
-    await syncEditedFiles({
-      connection: {
-        writeTextFile: async (input) => {
-          writes.push(input)
-          return {}
-        },
-      },
-      writeTextFile: false,
-      sessionID: "ses_no_write",
-      cwd: "/workspace",
-      toolName: "edit",
-      toolInput: { filePath: "/workspace/file.ts" },
-      structured: {},
-    })
-
-    expect(writes).toEqual([])
-  })
-
   test("forwards allow-once and allow-always selections to the generated client", async () => {
     const permissionRequests: RequestPermissionRequest[] = []
     const fixture = createSseFixture({
@@ -487,7 +465,6 @@ function startTurn(fixture: Fixture, connection: Connection, sessionID: string,
     sessionID,
     cwd,
     start: { type: "input", id: inputID },
-    writeTextFile: true,
     control: { cancelled: false, admission: new AbortController() },
     submit: (signal) => fixture.client.session.prompt({ sessionID, id: inputID, text: "hello" }, { signal }),
   })

packages/cli/test/acp/service-directory.test.ts

@@ -1,6 +1,6 @@
 import { describe, expect, test } from "bun:test"
 import type { McpServer, SessionConfigOption } from "@agentclientprotocol/sdk"
-import { makeACPFixture, makeSession, secondModel } from "./service-fixture"
+import { makeACPFixture, makeSession, secondModel, testModel } from "./service-fixture"
 
 describe("acp service directory behavior", () => {
   test("creates sessions from a catalog shared by concurrent callers in the same cwd", async () => {
@@ -134,6 +134,7 @@ describe("acp service directory behavior", () => {
       configId: "mode",
       value: "plan",
     })
+    await fixture.service.setSessionModel({ sessionId: session.sessionId, modelId: "test/test-model/high" })
     await fixture.service.setSessionMode({ sessionId: session.sessionId, modeId: "build" })
 
     expect(currentValue(selectedModel, "model")).toBe("test/second-model")
@@ -147,6 +148,7 @@ describe("acp service directory behavior", () => {
     ).toEqual([
       { model: { providerID: "test", id: secondModel.id } },
       { model: { providerID: "test", id: secondModel.id, variant: "medium" } },
+      { model: { providerID: "test", id: testModel.id, variant: "high" } },
     ])
     expect(
       fixture.requests

packages/cli/test/acp/service-lifecycle.test.ts

@@ -225,33 +225,6 @@ describe("acp service lifecycle", () => {
       "/api/session/missing/interrupt",
     ])
   })
-
-  test("deletes sessions from backing and local storage", async () => {
-    await using fixture = makeACPFixture({
-      fetch(request) {
-        if (request.method === "POST" && request.path === "/api/session") {
-          return Response.json({ data: makeSession("ses_delete") })
-        }
-        if (request.method === "DELETE" && request.path === "/api/session/ses_delete") {
-          return new Response(null, { status: 204 })
-        }
-        return undefined
-      },
-    })
-    const session = await fixture.service.newSession({ cwd: "/workspace", mcpServers: [] })
-
-    expect(await fixture.service.deleteSession({ sessionId: session.sessionId })).toEqual({})
-    expect(fixture.requests).toContainEqual({
-      method: "DELETE",
-      path: "/api/session/ses_delete",
-      query: {},
-      body: undefined,
-    })
-    const missing = await fixture.service
-      .setSessionConfigOption({ sessionId: session.sessionId, configId: "effort", value: "high" })
-      .catch((error: unknown) => error)
-    expect(missing).toMatchObject({ _tag: "ACPSessionNotFoundError", sessionId: session.sessionId })
-  })
 })
 
 function currentValue(result: { readonly configOptions?: readonly SessionConfigOption[] | null }, id: string) {

packages/cli/test/acp/service-usage.test.ts

@@ -45,14 +45,17 @@ describe("acp service prompt routing and usage", () => {
 
     const commandResult = await fixture.service.prompt({
       sessionId: session.sessionId,
+      messageId: "client-command",
       prompt: [{ type: "text", text: "/review now" }],
     })
     const skillResult = await fixture.service.prompt({
       sessionId: session.sessionId,
+      messageId: "client-skill",
       prompt: [{ type: "text", text: "/verify" }],
     })
     const compactResult = await fixture.service.prompt({
       sessionId: session.sessionId,
+      messageId: "client-compact",
       prompt: [{ type: "text", text: "/compact" }],
     })
 
@@ -151,11 +154,13 @@ describe("acp service prompt routing and usage", () => {
 
     const response = await fixture.service.prompt({
       sessionId: session.sessionId,
+      messageId: "client-message",
       prompt: [{ type: "text", text: "hello" }],
     })
 
     expect(response).toEqual({
       stopReason: "end_turn",
+      userMessageId: "client-message",
       usage: {
         inputTokens: 100,
         outputTokens: 40,

packages/cli/test/mini.test.ts

@@ -214,15 +214,11 @@ describe("mini command", () => {
     expect(result.exitCode).toBe(0)
     expect(result.stdout).toContain("--server string")
     expect(result.stdout).toContain("--prompt string")
-    expect(result.stdout).toContain("--replay")
-    expect(result.stdout).toContain("disable with --no-replay")
-    expect(result.stdout).toContain("--replay-limit integer")
-    expect(result.stdout).toContain("Limit replay to the newest N messages (default: 200)")
     expect(result.stdout).not.toContain("SUBCOMMANDS")
   })
 
   test("routes local and explicit-server invocations into mini", async () => {
-    for (const args of [["mini"], ["mini", "--no-replay"], ["mini", "--server", "http://127.0.0.1:1"]]) {
+    for (const args of [["mini"], ["mini", "--server", "http://127.0.0.1:1"]]) {
       const result = await cli(args)
 
       expect(result.exitCode).toBe(1)

packages/cli/test/run/noninteractive.test.ts

@@ -157,53 +157,6 @@ function failedTool(inputID: string): V2Event[] {
   ]
 }
 
-function successfulGrep(inputID: string): V2Event[] {
-  const text = "Found 2 matches\n/src/a.ts:\n  Line 1: needle\n/src/b.ts:\n  Line 2: needle"
-  return [
-    prompted(inputID),
-    {
-      id: "evt_grep_input",
-      created: 1,
-      type: "session.tool.input.started",
-      durable: { aggregateID: "ses_1", seq: 1, version: 1 },
-      data: {
-        sessionID: "ses_1",
-        assistantMessageID: "msg_grep",
-        callID: "call_grep",
-        name: "grep",
-      },
-    },
-    {
-      id: "evt_grep_called",
-      created: 2,
-      type: "session.tool.called",
-      durable: { aggregateID: "ses_1", seq: 2, version: 1 },
-      data: {
-        sessionID: "ses_1",
-        assistantMessageID: "msg_grep",
-        callID: "call_grep",
-        input: { pattern: "needle" },
-        executed: true,
-      },
-    },
-    {
-      id: "evt_grep_success",
-      created: 3,
-      type: "session.tool.success",
-      durable: { aggregateID: "ses_1", seq: 3, version: 1 },
-      data: {
-        sessionID: "ses_1",
-        assistantMessageID: "msg_grep",
-        callID: "call_grep",
-        structured: { matches: 2 },
-        content: [{ type: "text", text }],
-        executed: false,
-      },
-    },
-    settled(),
-  ]
-}
-
 // Runs one non-interactive prompt against a mocked SDK. `turn` produces the
 // live events the prompt admission triggers, keyed by the generated message ID.
 async function run(input: {
@@ -316,32 +269,6 @@ afterEach(() => {
 })
 
 describe("runNonInteractivePrompt", () => {
-  test("keeps formatted tool output and compact structured metadata in JSON", async () => {
-    const output = await capture({ format: "json", turn: successfulGrep })
-    const events = output.stdout
-      .split("\n")
-      .filter(Boolean)
-      .map((line) => JSON.parse(line))
-
-    expect(events).toHaveLength(1)
-    expect(events[0]).toMatchObject({
-      type: "tool_use",
-      part: {
-        tool: "grep",
-        state: {
-          status: "completed",
-          output: expect.stringContaining("Found 2 matches"),
-          metadata: {
-            structured: { matches: 2 },
-            content: [{ type: "text", text: expect.stringContaining("/src/a.ts") }],
-          },
-        },
-      },
-    })
-    expect(events[0].part.state.metadata.structured).toEqual({ matches: 2 })
-    expect(events[0].part.state.metadata.result).toBeUndefined()
-  })
-
   test("uses session.wait then reconciles projected output without a terminal event", async () => {
     const idle = Promise.withResolvers<void>()
     let done = false

packages/client/src/promise/generated/types.ts

@@ -8,7 +8,7 @@ export type ModelRef = { id: string; providerID: string; variant?: string }
 
 export type ProviderSettings = { [x: string]: JsonValue }
 
-export type AgentColor = string
+export type AgentColor = string | "primary" | "secondary" | "accent" | "success" | "warning" | "error" | "info"
 
 export type PermissionV2Effect = "allow" | "deny" | "ask"
 

packages/codemode/README.md

@@ -72,7 +72,6 @@ Dots in tool names create namespaces: `{ "issues.list": tool }` and `{ issues: {
 const runtime = CodeMode.make({ tools, limits: { timeoutMs: 30_000 } })
 
 runtime.catalog() // structured tool descriptions
-runtime.instructions() // model-facing syntax and tool guide
 runtime.execute(source) // Effect<CodeMode.Result, never, ToolServices>
 ```
 
@@ -145,13 +144,13 @@ safe refusal to the model; its optional cause remains private.
 
 ## Discovery
 
-Generated instructions contain a tool catalog with a default budget of 2,000 estimated tokens. Configure it with
-`discovery: { catalogBudget }`. Every namespace remains visible, and the instructions say whether the catalog is
-complete or partial.
+`runtime.catalog()` returns structured descriptors — exact path, description, and generated TypeScript signature — for
+every visible tool. Hosts render their own model-facing instructions from these descriptors; `CodeMode.searchSignature`
+and `CodeMode.toolExpression(path)` supply the exact callable forms.
 
-The synchronous `search(...)` built-in is always available and advertised when the catalog is partial. It supports
-exact-path lookup, namespace-scoped search, empty-query browsing, and pagination, and returns callable paths with full
-signatures. Search counts toward `maxToolCalls`.
+The synchronous `search(...)` built-in is always available. It supports exact-path lookup, namespace-scoped search,
+empty-query browsing, and pagination, and returns callable paths with full signatures. Search counts toward
+`maxToolCalls`.
 
 ## Execution Limits
 

packages/codemode/src/codemode.ts

@@ -5,6 +5,8 @@ import type { Tools } from "./tools.js"
 
 /** A tool call admitted during an execution. */
 export type { ToolCall, ToolCallEnded, ToolCallHooks, ToolCallStarted, ToolDescription } from "./tool-runtime.js"
+/** Signature-construction helpers for host-owned catalog instructions. */
+export { searchSignature, toolExpression } from "./tool-runtime.js"
 
 /** Resource budgets enforced independently during each CodeMode program execution. */
 export type ExecutionLimits = {
@@ -22,12 +24,6 @@ export type ExecutionLimits = {
   readonly maxOutputBytes?: number
 }
 
-/** Controls how much of the tool catalog is inlined in agent instructions. */
-export type DiscoveryOptions = {
-  /** Approximate token budget (chars/4, default 2000) for full catalog entries. */
-  readonly catalogBudget?: number
-}
-
 export type ResolvedExecutionLimits = {
   readonly timeoutMs: number | undefined
   readonly maxToolCalls: number | undefined
@@ -52,10 +48,7 @@ export type ExecuteOptions<Provided extends Record<string, unknown> = {}> = {
 export type DataValue = Schema.Json
 
 /** Configuration shared by `CodeMode.make` and `CodeMode.execute`. */
-export type Options<Provided extends Record<string, unknown> = {}> = Omit<ExecuteOptions<Provided>, "code"> & {
-  /** Progressive-disclosure configuration for the agent-facing tool catalog. */
-  readonly discovery?: DiscoveryOptions
-}
+export type Options<Provided extends Record<string, unknown> = {}> = Omit<ExecuteOptions<Provided>, "code">
 
 /** Schema for a host tool input containing CodeMode source. */
 export const Input = Schema.Struct({ code: Schema.String })
@@ -116,7 +109,6 @@ export type Result = typeof Result.Type
 /** Reusable confined runtime over explicit tools. */
 export type Runtime<R = never> = {
   readonly catalog: () => ReadonlyArray<ToolDescription>
-  readonly instructions: () => string
   readonly execute: (code: string) => Effect.Effect<Result, never, R>
 }
 
@@ -147,11 +139,10 @@ export const make = <const Provided extends Record<string, unknown> = {}>(
 ): Runtime<Services<Provided>> => {
   const tools = (options.tools ?? {}) as Tools<Services<Provided>>
   const limits = resolveExecutionLimits(options.limits)
-  const prepared = ToolRuntime.prepare(tools, options.discovery?.catalogBudget)
+  const prepared = ToolRuntime.prepare(tools)
 
   return {
     catalog: () => prepared.catalog,
-    instructions: () => prepared.instructions,
     execute: (code) => executeWithLimits<Provided>({ ...options, code }, limits, prepared.searchIndex),
   }
 }

packages/codemode/src/tool-runtime.ts

@@ -20,8 +20,6 @@ import {
   CodeModeURLSearchParams,
 } from "./values.js"
 
-const estimateTokens = (input: string) => Math.max(0, Math.round(input.length / 4))
-
 export type Services<T> = ServicesOf<T, []>
 
 type ServicesOf<T, Depth extends ReadonlyArray<unknown>> = Depth["length"] extends 8
@@ -69,7 +67,6 @@ export type ToolDescription = {
 
 export type SafeObject = Record<string, unknown>
 
-const defaultCatalogBudget = 2_000
 const defaultSearchLimit = 10
 const PositiveInt = Schema.Int.check(Schema.isGreaterThan(0))
 const NonNegativeInt = Schema.Int.check(Schema.isGreaterThanOrEqualTo(0))
@@ -89,7 +86,7 @@ const SearchOutput = Schema.Struct({
   remaining: NonNegativeInt,
   next: Schema.NullOr(Schema.Struct({ offset: NonNegativeInt })),
 })
-const toolExpression = (path: string) =>
+export const toolExpression = (path: string) =>
   "tools" +
   path
     .split(".")
@@ -337,7 +334,6 @@ const visibleDefinitions = <R>(tools: Tools<R>) =>
 
 export type DiscoveryPlan = {
   readonly catalog: ReadonlyArray<ToolDescription>
-  readonly instructions: string
   readonly searchIndex: ReadonlyArray<SearchEntry>
 }
 
@@ -421,17 +417,12 @@ const makeSearchTool = (searchIndex: ReadonlyArray<SearchEntry>): Definition =>
     }),
 })
 
-const searchSignature = (() => {
+/** Exact callable signature of the built-in `search` function, for host-owned instructions. */
+export const searchSignature = (() => {
   const definition = makeSearchTool([])
   return `search(input: ${inputTypeScript(definition, true)}): ${outputTypeScript(definition, true)}`
 })()
 
-const catalogLine = (tool: ToolDescription) => {
-  const line = tool.description.split("\n", 1)[0]!.trim()
-  const description = line.length > 120 ? line.slice(0, 119) + "..." : line
-  return description === "" ? `  - ${tool.signature}` : `  - ${tool.signature} // ${description}`
-}
-
 const toSearchEntry = <R>(path: string, definition: Definition<R>, description: ToolDescription): SearchEntry => ({
   description,
   namespace: path.split(".", 1)[0]!,
@@ -449,146 +440,11 @@ const toSearchEntry = <R>(path: string, definition: Definition<R>, description:
 export const searchIndex = <R>(tools: Tools<R>): ReadonlyArray<SearchEntry> =>
   visibleDefinitions(tools).map(({ path, definition, description }) => toSearchEntry(path, definition, description))
 
-// Budget signatures round-robin so every namespace remains visible.
-export const prepare = <R>(tools: Tools<R>, catalogBudget = defaultCatalogBudget): DiscoveryPlan => {
-  if (!Number.isSafeInteger(catalogBudget) || catalogBudget < 0) {
-    throw new RangeError("discovery.catalogBudget must be a non-negative safe integer")
-  }
+// Hosts render agent-facing instructions themselves from these structured descriptors.
+export const prepare = <R>(tools: Tools<R>): DiscoveryPlan => {
   const visible = visibleDefinitions(tools)
-  const described = visible.map(({ description }) => description)
-
-  const namespaces = new Map<string, Array<ToolDescription>>()
-  for (const tool of described) {
-    const [namespace = tool.path] = tool.path.split(".")
-    const group = namespaces.get(namespace) ?? []
-    group.push(tool)
-    namespaces.set(namespace, group)
-  }
-  const ordered = [...namespaces].sort(([left], [right]) => left.localeCompare(right))
-
-  const selections = ordered.map(([namespace, group]) => ({
-    namespace,
-    picked: new Set<ToolDescription>(),
-    queue: [...group].sort(
-      (left, right) =>
-        estimateTokens(catalogLine(left)) - estimateTokens(catalogLine(right)) || left.path.localeCompare(right.path),
-    ),
-  }))
-  let used = 0
-  let active = selections.filter((selection) => selection.queue.length > 0)
-  while (active.length > 0) {
-    const stillActive: typeof active = []
-    for (const selection of active) {
-      const tool = selection.queue[0]!
-      const cost = estimateTokens(catalogLine(tool))
-      if (used + cost > catalogBudget) continue
-      selection.queue.shift()
-      selection.picked.add(tool)
-      used += cost
-      if (selection.queue.length > 0) stillActive.push(selection)
-    }
-    active = stillActive
-  }
-  const shown = new Map<string, ReadonlySet<ToolDescription>>(
-    selections.map(({ namespace, picked }) => [namespace, picked]),
-  )
-  const totalShown = selections.reduce((total, { picked }) => total + picked.size, 0)
-  const complete = totalShown === described.length
-
-  const empty = described.length === 0
-
-  const intro = [
-    empty
-      ? "This is a restricted JavaScript language for calling tools, not a general-purpose runtime."
-      : complete
-        ? "This is a restricted JavaScript language for calling tools, not a general-purpose runtime. Inside the confined interpreter, `tools` contains the tools listed below; surrounding agent tools are not available."
-        : "This is a restricted JavaScript language for calling tools, not a general-purpose runtime. Inside the confined interpreter, `tools` contains the tools listed or searchable below; surrounding agent tools are not available.",
-    ...(empty
-      ? []
-      : ["Do not infer or normalize tool names; use only exact signatures shown below or returned by search."]),
-  ]
-
-  const workflow = empty
-    ? []
-    : [
-        "",
-        "## Workflow",
-        "",
-        ...(complete
-          ? [
-              "1. Pick a tool from the list under `## Available tools` - each line is the exact call signature; use it as-is rather than guessing segments.",
-              "2. Call it using the exact signature shown: `const result = await tools.<namespace>.<tool>(input)`; bracket notation and quotes are part of the path.",
-              "3. Return only the fields you need from structured results; narrow unknown results before reading fields, and avoid returning large raw payloads.",
-            ]
-          : [
-              '1. If needed, discover tools with the built-in search function: `return search({ query: "<intent + key nouns>" })`.',
-              "2. In the next execution, copy a returned path exactly, call it, and return only the needed fields.",
-            ]),
-      ]
-
-  const rules = empty
-    ? []
-    : [
-        "",
-        "## Rules",
-        "",
-        complete
-          ? "- Only tools listed here are available; surrounding agent tools are not implicitly exposed."
-          : "- Only tools listed here or returned by the built-in `search` function are available; surrounding agent tools are not implicitly exposed.",
-        "- Filter, aggregate, and transform collections in code - never return them raw or call a tool per item across messages.",
-        "- A result typed `Promise<unknown>` may be structured data or text. Before reading fields, check that it is a non-null object and not an array; otherwise handle the returned text or primitive directly.",
-        '- Run independent calls in parallel: `await Promise.all(items.map((item) => tools.<namespace>.<tool>(item)))`, or use `tools.<namespace>["tool-name"](item)` when the listed signature uses bracket notation.',
-        "- Execution ends when the program returns; pending promises are interrupted, so await every call whose completion matters.",
-        "- `Object.keys(tools)` lists namespaces; `Object.keys(tools.<namespace>)` lists its tools; `for...in` works on both.",
-        ...(complete
-          ? []
-          : [
-              '- Browse one namespace: `search({ query: "", namespace: "<name>" })`.',
-              "- If search returns `next`, repeat the same search with `offset: next.offset`.",
-            ]),
-      ]
-
-  const language = [
-    "",
-    "## Language",
-    "",
-    "Use common JavaScript data operations, functions, control flow, selected standard-library methods, and awaited tool calls. Built-ins include Date, RegExp, Map, Set, URL, URLSearchParams, and URI encoding helpers.",
-    "Modules/imports, classes, timers, fetch, eval, prototype access, and unlisted methods are unavailable. Use tools for external operations. Use await with try/catch.",
-    "Prefer explicit `return`; otherwise only the final top-level expression becomes the result.",
-    "Dates and URLs serialize to strings at data boundaries; Map/Set/RegExp/URLSearchParams serialize to `{}`.",
-  ]
-
-  const toolSection: Array<string> = [""]
-  if (empty) {
-    toolSection.push("## Available tools", "", "No tools are currently available.")
-  } else {
-    toolSection.push(
-      complete
-        ? "## Available tools (COMPLETE list - every tool is shown below with its full call signature)"
-        : `## Available tools (PARTIAL - ${totalShown} of ${described.length} shown; find the rest with search(...))`,
-      "",
-    )
-    for (const [namespace, group] of ordered) {
-      const picked = shown.get(namespace)!
-      const count = `${group.length} tool${group.length === 1 ? "" : "s"}`
-      const label =
-        picked.size === group.length
-          ? count
-          : picked.size === 0
-            ? `${count}, none shown`
-            : `${count}, ${picked.size} shown`
-      toolSection.push(`- ${namespace} (${label})`)
-      for (const tool of group) if (picked.has(tool)) toolSection.push(catalogLine(tool))
-    }
-    if (!complete) {
-      toolSection.push("", "Search returns complete callable signatures:", `- ${searchSignature}`)
-    }
-  }
-
-  const lines = [...intro, ...workflow, ...rules, ...language, ...toolSection]
   return {
-    catalog: described,
-    instructions: lines.join("\n"),
+    catalog: visible.map(({ description }) => description),
     searchIndex: visible.map(({ path, definition, description }) => toSearchEntry(path, definition, description)),
   }
 }

packages/codemode/test/codemode.test.ts

@@ -592,7 +592,7 @@ describe("CodeMode public contract", () => {
     expect(second).toStrictEqual({ ok: true, value: 1, logs: ["hi"], toolCalls: [{ name: "host.echo" }] })
   })
 
-  test("inlines a COMPLETE small catalog and keeps search registered but unadvertised", async () => {
+  test("describes the catalog and keeps the search built-in registered", async () => {
     const runtime = CodeMode.make({ tools })
     expect(runtime.catalog()).toStrictEqual([
       {
@@ -601,16 +601,9 @@ describe("CodeMode public contract", () => {
         signature: "tools.orders.lookup(input: {\n  id: string,\n}): Promise<{\n  id: string,\n  status: string,\n}>",
       },
     ])
-    expect(runtime.instructions()).toContain("Available tools (COMPLETE list")
-    expect(runtime.instructions()).toContain("- orders (1 tool)")
-    expect(runtime.instructions()).toContain(
-      "  - tools.orders.lookup(input: {\n  id: string,\n}): Promise<{\n  id: string,\n  status: string,\n}> // Look up an order by ID",
-    )
-    // A fully inlined catalog does not advertise search in the instructions...
-    expect(runtime.instructions()).not.toContain("search(")
 
-    // ...but the search built-in stays available, so a speculative call still works with the
-    // same signature as the inline catalog.
+    // The search built-in stays available, so a speculative call still works with the
+    // same signature as the catalog.
     const result = await Effect.runPromise(runtime.execute(`return search({ query: "order" })`))
     expect(result.ok).toBe(true)
     if (result.ok) {
@@ -645,9 +638,6 @@ describe("CodeMode public contract", () => {
         signature: 'tools.context7["resolve-library-id"](input: {\n  libraryName: string,\n}): Promise<string>',
       },
     ])
-    expect(runtime.instructions()).toContain(
-      'tools.context7["resolve-library-id"](input: {\n  libraryName: string,\n}): Promise<string>',
-    )
 
     const search = await Effect.runPromise(runtime.execute(`return search({ query: "resolve library id" })`))
     expect(search.ok).toBe(true)
@@ -678,88 +668,6 @@ describe("CodeMode public contract", () => {
     if (exact.ok) expect(exact.value).toMatchObject({ remaining: 0, next: null })
   })
 
-  test("instructions use markdown sections with placeholder-only call forms", () => {
-    const runtime = CodeMode.make({ tools })
-    const instructions = runtime.instructions()
-    // Sections in order: workflow at the top, catalog at the bottom.
-    expect(instructions).toContain("## Workflow")
-    expect(instructions).toContain("## Rules")
-    expect(instructions).toContain("## Language")
-    expect(instructions.indexOf("## Workflow")).toBeLessThan(instructions.indexOf("## Rules"))
-    expect(instructions.indexOf("## Rules")).toBeLessThan(instructions.indexOf("## Language"))
-    expect(instructions.indexOf("## Language")).toBeLessThan(
-      instructions.indexOf("\n## Available tools (COMPLETE list"),
-    )
-    expect(instructions).not.toContain("JSON.parse(res)")
-    expect(instructions).toContain("Return only the fields you need")
-    expect(instructions).toContain("avoid returning large raw payloads")
-    expect(instructions).toContain("Do not infer or normalize tool names")
-    expect(instructions).toContain("bracket notation and quotes are part of the path")
-    expect(instructions).toContain("surrounding agent tools are not available")
-    expect(instructions).toContain("Only tools listed here are available")
-    // Placeholders use generic namespace/tool/field names only - no fabricated real tools
-    // and no real catalog tools cherry-picked into example lines.
-    expect(instructions).toContain("`const result = await tools.<namespace>.<tool>(input)`")
-    expect(instructions).toContain("Return only the fields you need from structured results")
-    expect(instructions).toContain("check that it is a non-null object and not an array")
-    expect(instructions).not.toContain("result.<field>")
-    expect(instructions).not.toContain("data.<field>")
-    expect(instructions).not.toContain("total_count")
-    expect(instructions).not.toContain("list_issues")
-    expect(instructions).not.toContain("tools.orders.lookup({")
-    // COMPLETE: step 1 picks from the inlined list; search is not advertised.
-    expect(instructions).toContain("1. Pick a tool from the list under `## Available tools`")
-    expect(instructions).not.toContain("Browse one namespace")
-
-    const partial = CodeMode.make({ tools, discovery: { catalogBudget: 0 } }).instructions()
-    // PARTIAL: the workflow starts with search (with query-style guidance that is clearly
-    // a query string, never a tool name) and the browse-namespace rule appears.
-    expect(partial).toContain(
-      '1. If needed, discover tools with the built-in search function: `return search({ query: "<intent + key nouns>" })`.',
-    )
-    expect(partial).toContain("In the next execution, copy a returned path exactly")
-    expect(partial).toContain("Only tools listed here or returned by the built-in `search` function")
-    expect(partial).toContain('- Browse one namespace: `search({ query: "", namespace: "<name>" })`.')
-    expect(partial).toContain("repeat the same search with `offset: next.offset`")
-    expect(partial).toContain("  limit?: number,\n  offset?: number,")
-    expect(partial).not.toContain("total_count")
-    expect(partial).not.toContain("tools.orders.lookup({")
-  })
-
-  test("the language section describes the restricted runtime without overclaiming", () => {
-    const instructions = CodeMode.make({ tools }).instructions()
-    expect(instructions).toContain("restricted JavaScript language for calling tools")
-    expect(instructions).toContain("not a general-purpose runtime")
-    expect(instructions).not.toContain("Standard modern JavaScript works")
-    expect(instructions).not.toContain("TypeScript type annotations")
-    for (const missing of ["Modules/imports", "classes", "fetch"]) {
-      expect(instructions).toContain(missing)
-    }
-    expect(instructions).not.toContain("generators")
-    expect(instructions).not.toContain("new Promise(...) are unavailable")
-    expect(instructions).not.toContain("promise chaining")
-    expect(instructions).toContain("URL, URLSearchParams, and URI encoding helpers")
-    expect(instructions).not.toContain("host globals")
-    expect(instructions).toContain("Use tools for external operations")
-    expect(instructions).toContain(
-      "Prefer explicit `return`; otherwise only the final top-level expression becomes the result.",
-    )
-    expect(instructions).toContain(
-      "Dates and URLs serialize to strings at data boundaries; Map/Set/RegExp/URLSearchParams serialize to `{}`.",
-    )
-  })
-
-  test("zero tools keep minimal sections and the no-tools notice", () => {
-    const runtime = CodeMode.make({})
-    const instructions = runtime.instructions()
-    expect(instructions).toContain("No tools are currently available.")
-    expect(instructions).toContain("## Language")
-    expect(instructions).toContain("## Available tools")
-    expect(instructions).not.toContain("## Workflow")
-    expect(instructions).not.toContain("## Rules")
-    expect(instructions).not.toContain("search(")
-  })
-
   test("uses one ranked search returning complete definitions for large catalogs", async () => {
     const upload = Tool.make({
       description: "Upload one readable local file to the current Discord thread",
@@ -775,13 +683,7 @@ describe("CodeMode public contract", () => {
     })
     const runtime = CodeMode.make({
       tools: { thread: { uploadFile: upload, generateImage: generate }, orders: { lookup } },
-      discovery: { catalogBudget: 0 },
     })
-    expect(runtime.instructions()).toContain("Available tools (PARTIAL - 0 of 3 shown; find the rest with search(...))")
-    expect(runtime.instructions()).toContain("- thread (2 tools, none shown)")
-    expect(runtime.instructions()).toContain("- orders (1 tool, none shown)")
-    expect(runtime.instructions()).toContain("Search returns complete callable signatures:\n- search(input: {")
-    expect(runtime.instructions()).not.toMatch(/tools\.thread\.uploadFile\(input/)
 
     const result = await Effect.runPromise(
       runtime.execute(`
@@ -1066,64 +968,6 @@ describe("CodeMode public contract", () => {
     if (exhausted.ok) expect(exhausted.value).toStrictEqual({ items: [], remaining: 0, next: null })
   })
 
-  test("inlines round-robin across namespaces so one expensive namespace cannot starve the rest", () => {
-    const cheap = Tool.make({
-      description: "Cheap",
-      input: Schema.Struct({ q: Schema.String }),
-      output: Schema.String,
-      run: () => Effect.succeed("ok"),
-    })
-    const expensive = Tool.make({
-      description:
-        "An expensive tool whose description alone consumes far more than the remaining inline catalog byte budget for this runtime",
-      input: Schema.Struct({
-        someRatherLongParameterName: Schema.String,
-        anotherEvenLongerParameterName: Schema.Number,
-      }),
-      output: Schema.String,
-      run: () => Effect.succeed("ok"),
-    })
-    // Round 1 places alpha.cheap (~17 estimated tokens) and beta.cheap (~17); in round 2
-    // alpha.expensive does not fit, which marks only alpha done - it must NOT prevent
-    // other namespaces from inlining (beta already got its line in the same round).
-    const runtime = CodeMode.make({
-      tools: { alpha: { cheap, expensive }, beta: { cheap } },
-      discovery: { catalogBudget: 40 },
-    })
-
-    const instructions = runtime.instructions()
-    expect(instructions).toContain("Available tools (PARTIAL - 2 of 3 shown; find the rest with search(...))")
-    expect(instructions).toContain("- alpha (2 tools, 1 shown)")
-    expect(instructions).toContain("  - tools.alpha.cheap(input: {\n  q: string,\n}): Promise<string> // Cheap")
-    expect(instructions).not.toContain("tools.alpha.expensive(")
-    // Fully shown namespaces read cleanly (no "shown" annotation).
-    expect(instructions).toContain("- beta (1 tool)")
-    expect(instructions).toContain("  - tools.beta.cheap(input: {\n  q: string,\n}): Promise<string> // Cheap")
-    expect(instructions).toContain("Search returns complete callable signatures:\n- search(input: {")
-  })
-
-  test("charges inline JSDoc against the catalog token budget", () => {
-    const documented = Tool.make({
-      description: "Look up a record",
-      input: {
-        type: "object",
-        properties: {
-          id: { type: "string", description: "A detailed identifier description. ".repeat(20) },
-        },
-        required: ["id"],
-      } as const,
-      run: () => Effect.succeed("ok"),
-    })
-    const runtime = CodeMode.make({
-      tools: { records: { lookup: documented } },
-      discovery: { catalogBudget: 40 },
-    })
-
-    expect(runtime.catalog()[0]?.signature).toContain("/** A detailed identifier description.")
-    expect(runtime.instructions()).toContain("Available tools (PARTIAL - 0 of 1 shown; find the rest with search(...))")
-    expect(runtime.instructions()).not.toContain("tools.records.lookup(input:")
-  })
-
   test("decodes tool input and output before exposing either side", async () => {
     const observed: Array<unknown> = []
     const transformed = Tool.make({
@@ -1184,7 +1028,7 @@ describe("CodeMode public contract", () => {
     expect(result).toStrictEqual({ ok: true, value: null, toolCalls: [] })
   })
 
-  test("rejects invalid configuration and discovery limits", async () => {
+  test("rejects invalid configuration and search limits", async () => {
     expect(() => CodeMode.execute({ code: "return 1", limits: { timeoutMs: 0 } })).toThrow(RangeError)
     expect(() => CodeMode.execute({ code: "return 1", limits: { timeoutMs: Number.POSITIVE_INFINITY } })).toThrow(
       RangeError,
@@ -1192,13 +1036,8 @@ describe("CodeMode public contract", () => {
     expect(() => CodeMode.execute({ code: "return 1", limits: { maxToolCalls: -1 } })).toThrow(RangeError)
     expect(() => CodeMode.execute({ code: "return 1", limits: { maxOutputBytes: -1 } })).toThrow(RangeError)
 
-    expect(() => CodeMode.make({ tools, discovery: { catalogBudget: -1 } })).toThrow(RangeError)
-
     const result = await Effect.runPromise(
-      CodeMode.make({
-        tools,
-        discovery: { catalogBudget: 0 },
-      }).execute(`return search({ query: "order", limit: 0.5 })`),
+      CodeMode.make({ tools }).execute(`return search({ query: "order", limit: 0.5 })`),
     )
     expect(result.ok).toBe(false)
     if (result.ok) return

packages/codemode/test/fixtures/opencode-v2-openapi.json

@@ -10561,10 +10561,26 @@
         "additionalProperties": false
       },
       "Agent.Color": {
-        "type": "string",
-        "allOf": [
+        "anyOf": [
           {
-            "pattern": "^#[0-9a-fA-F]{6}$"
+            "type": "string",
+            "allOf": [
+              {
+                "pattern": "^#[0-9a-fA-F]{6}$"
+              }
+            ]
+          },
+          {
+            "type": "string",
+            "enum": [
+              "primary",
+              "secondary",
+              "accent",
+              "success",
+              "warning",
+              "error",
+              "info"
+            ]
           }
         ]
       },

packages/codemode/test/signature.test.ts

@@ -394,15 +394,15 @@ describe("JSDoc signatures in catalogs and search results", () => {
     }
   })
 
-  test("the inline catalog uses the same JSDoc signatures", async () => {
-    const instructions = runtime.instructions()
+  test("the catalog uses the same JSDoc signatures as search", async () => {
+    const catalog = runtime.catalog()
     const github = (await search("list issues repository")).items.find(
       ({ path }) => path === "tools.github.list_issues",
     )!
     const orders = (await search("look up order")).items.find(({ path }) => path === "tools.orders.lookup")!
-    expect(instructions).toContain(`  - ${github.signature} // List issues in a repository`)
-    expect(instructions).toContain(`  - ${orders.signature} // Look up an order`)
-    expect(instructions).toContain("/** Repository owner */")
+    expect(catalog.map(({ signature }) => signature)).toContain(github.signature)
+    expect(catalog.map(({ signature }) => signature)).toContain(orders.signature)
+    expect(github.signature).toContain("/** Repository owner */")
   })
 })
 
@@ -421,16 +421,10 @@ describe("non-identifier tool paths", () => {
   })
   const runtime = CodeMode.make({ tools: { context7: { "resolve-library-id": resolveLibrary } } })
 
-  test("inline catalog uses bracket notation for dashed tool names", () => {
-    const instructions = runtime.instructions()
-
-    expect(instructions).toContain(
+  test("catalog signatures use bracket notation for dashed tool names", () => {
+    expect(runtime.catalog()[0]?.signature).toBe(
       'tools.context7["resolve-library-id"](input: {\n  query: string,\n  libraryName: string,\n}): Promise<unknown>',
     )
-    expect(instructions).toContain("Do not infer or normalize tool names")
-    expect(instructions).toContain("bracket notation and quotes are part of the path")
-    expect(instructions).not.toContain("tools.context7.resolve-library-id")
-    expect(instructions).not.toContain("tools.context7.resolve_library_id")
   })
 
   test("search results return callable bracket-notation paths and signatures", async () => {

packages/codemode/test/tool-paths.test.ts

@@ -30,7 +30,6 @@ describe("dotted tool names", () => {
     expect(catalog).toHaveLength(1)
     expect(catalog[0]?.path).toBe("api.issues.list")
     expect(catalog[0]?.signature).toStartWith("tools.api.issues.list(input:")
-    expect(runtime.instructions()).toContain("tools.api.issues.list(input:")
   })
 
   test("the advertised dotted path is executable", async () => {
@@ -116,7 +115,7 @@ describe("blocked member names on tool paths", () => {
 
   test("a literal __proto__ key cannot poison a namespace into a fake definition", async () => {
     const poisoned = CodeMode.make({
-      tools: { ns: { "__proto__": echo("Hidden", "hidden"), real: echo("Real tool", "real") } },
+      tools: { ns: { __proto__: echo("Hidden", "hidden"), real: echo("Real tool", "real") } },
     })
     expect(poisoned.catalog().map((tool) => tool.path)).toEqual(["ns.real"])
     expect(await value(poisoned, `return await tools.ns.real({})`)).toBe("real")

packages/console/app/src/i18n/ar.ts

@@ -254,7 +254,7 @@ export const dict = {
   "go.title": "OpenCode Go | نماذج برمجة منخفضة التكلفة للجميع",
   "go.banner.text": "يحصل Kimi K3 على حدود استخدام مضاعفة لفترة محدودة",
   "go.meta.description":
-    "يبدأ Go من $5 للشهر الأول، ثم $10/شهر، مع حدود طلب سخية لمدة 5 ساعات لـ Grok 4.5 وGLM-5.2 وGLM-5.1 وKimi K3 وKimi K2.7 Code وKimi K2.6 وMiMo-V2.5-Pro وMiMo-V2.5 وQwen3.7 Max وQwen3.7 Plus وQwen3.6 Plus وMiniMax M2.7 وMiniMax M3 وDeepSeek V4 Pro وDeepSeek V4 Flash وHy3.",
+    "يبدأ Go من $5 للشهر الأول، ثم $10/شهر، مع حدود طلب سخية لمدة 5 ساعات لـ Grok 4.5 وGLM-5.2 وGLM-5.1 وKimi K3 وKimi K2.7 Code وKimi K2.6 وMiMo-V2.5-Pro وMiMo-V2.5 وQwen3.7 Max وQwen3.7 Plus وQwen3.6 Plus وMiniMax M2.7 وMiniMax M3 وDeepSeek V4 Pro وDeepSeek V4 Flash.",
   "go.hero.title": "نماذج برمجة منخفضة التكلفة للجميع",
   "go.hero.body":
     "يجلب Go البرمجة الوكيلة للمبرمجين حول العالم. يوفر حدودًا سخية ووصولًا موثوقًا إلى أقوى النماذج مفتوحة المصدر، حتى تتمكن من البناء باستخدام وكلاء أقوياء دون القلق بشأن التكلفة أو التوفر.",
@@ -302,7 +302,7 @@ export const dict = {
   "go.problem.item2": "حدود سخية ووصول موثوق",
   "go.problem.item3": "مصمم لأكبر عدد ممكن من المبرمجين",
   "go.problem.item4":
-    "يتضمن Grok 4.5 وGLM-5.2 وGLM-5.1 وKimi K3 وKimi K2.7 Code وKimi K2.6 وMiMo-V2.5-Pro وMiMo-V2.5 وQwen3.7 Max وQwen3.7 Plus وQwen3.6 Plus وMiniMax M2.7 وMiniMax M3 وDeepSeek V4 Pro وDeepSeek V4 Flash وHy3",
+    "يتضمن Grok 4.5 وGLM-5.2 وGLM-5.1 وKimi K3 وKimi K2.7 Code وKimi K2.6 وMiMo-V2.5-Pro وMiMo-V2.5 وQwen3.7 Max وQwen3.7 Plus وQwen3.6 Plus وMiniMax M2.7 وMiniMax M3 وDeepSeek V4 Pro وDeepSeek V4 Flash",
   "go.how.title": "كيف يعمل Go",
   "go.how.body": "يبدأ Go من $5 للشهر الأول، ثم $10/شهر. يمكنك استخدامه مع OpenCode أو أي وكيل.",
   "go.how.step1.title": "أنشئ حسابًا",
@@ -326,7 +326,7 @@ export const dict = {
   "go.faq.a2": "يتضمن Go النماذج المدرجة أدناه، مع حدود سخية وإتاحة موثوقة.",
   "go.faq.q3": "هل Go هو نفسه Zen؟",
   "go.faq.a3":
-    "لا. Zen هو الدفع حسب الاستخدام، بينما يبدأ Go من $5 للشهر الأول، ثم $10/شهر، مع حدود سخية ووصول موثوق إلى نماذج المصدر المفتوح Grok 4.5 وGLM-5.2 وGLM-5.1 وKimi K3 وKimi K2.7 Code وKimi K2.6 وMiMo-V2.5-Pro وMiMo-V2.5 وQwen3.7 Max وQwen3.7 Plus وQwen3.6 Plus وMiniMax M2.7 وMiniMax M3 وDeepSeek V4 Pro وDeepSeek V4 Flash وHy3.",
+    "لا. Zen هو الدفع حسب الاستخدام، بينما يبدأ Go من $5 للشهر الأول، ثم $10/شهر، مع حدود سخية ووصول موثوق إلى نماذج المصدر المفتوح Grok 4.5 وGLM-5.2 وGLM-5.1 وKimi K3 وKimi K2.7 Code وKimi K2.6 وMiMo-V2.5-Pro وMiMo-V2.5 وQwen3.7 Max وQwen3.7 Plus وQwen3.6 Plus وMiniMax M2.7 وMiniMax M3 وDeepSeek V4 Pro وDeepSeek V4 Flash.",
   "go.faq.q4": "كم تكلفة Go؟",
   "go.faq.a4.p1.beforePricing": "تكلفة Go",
   "go.faq.a4.p1.pricingLink": "$5 للشهر الأول",
@@ -349,7 +349,7 @@ export const dict = {
 
   "go.faq.q9": "ما الفرق بين النماذج المجانية وGo؟",
   "go.faq.a9":
-    "تشمل النماذج المجانية Big Pickle بالإضافة إلى النماذج الترويجية المتاحة في ذلك الوقت، مع حصة 200 طلب/يوم. يتضمن Go نماذج Grok 4.5 وGLM-5.2 وGLM-5.1 وKimi K3 وKimi K2.7 Code وKimi K2.6 وMiMo-V2.5-Pro وMiMo-V2.5 وQwen3.7 Max وQwen3.7 Plus وQwen3.6 Plus وMiniMax M2.7 وMiniMax M3 وDeepSeek V4 Pro وDeepSeek V4 Flash وHy3 مع حصص طلبات أعلى مطبقة عبر نوافذ متجددة (5 ساعات، أسبوعيًا، وشهريًا)، تعادل تقريبًا 12 دولارًا كل 5 ساعات، و30 دولارًا في الأسبوع، و60 دولارًا في الشهر (تختلف أعداد الطلبات الفعلية حسب النموذج والاستخدام).",
+    "تشمل النماذج المجانية Big Pickle بالإضافة إلى النماذج الترويجية المتاحة في ذلك الوقت، مع حصة 200 طلب/يوم. يتضمن Go نماذج Grok 4.5 وGLM-5.2 وGLM-5.1 وKimi K3 وKimi K2.7 Code وKimi K2.6 وMiMo-V2.5-Pro وMiMo-V2.5 وQwen3.7 Max وQwen3.7 Plus وQwen3.6 Plus وMiniMax M2.7 وMiniMax M3 وDeepSeek V4 Pro وDeepSeek V4 Flash مع حصص طلبات أعلى مطبقة عبر نوافذ متجددة (5 ساعات، أسبوعيًا، وشهريًا)، تعادل تقريبًا 12 دولارًا كل 5 ساعات، و30 دولارًا في الأسبوع، و60 دولارًا في الشهر (تختلف أعداد الطلبات الفعلية حسب النموذج والاستخدام).",
 
   "zen.api.error.rateLimitExceeded": "تم تجاوز حد الطلبات. يرجى المحاولة مرة أخرى لاحقًا.",
   "zen.api.error.modelNotSupported": "النموذج {{model}} غير مدعوم",

packages/console/app/src/i18n/br.ts

@@ -258,7 +258,7 @@ export const dict = {
   "go.title": "OpenCode Go | Modelos de codificação de baixo custo para todos",
   "go.banner.text": "Kimi K3 tem limites de uso 2x maiores por tempo limitado",
   "go.meta.description":
-    "O Go começa em $5 no primeiro mês, depois $10/mês, com limites generosos de solicitação de 5 horas para Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash e Hy3.",
+    "O Go começa em $5 no primeiro mês, depois $10/mês, com limites generosos de solicitação de 5 horas para Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro e DeepSeek V4 Flash.",
   "go.hero.title": "Modelos de codificação de baixo custo para todos",
   "go.hero.body":
     "O Go traz a codificação com agentes para programadores em todo o mundo. Oferecendo limites generosos e acesso confiável aos modelos de código aberto mais capazes, para que você possa construir com agentes poderosos sem se preocupar com custos ou disponibilidade.",
@@ -307,7 +307,7 @@ export const dict = {
   "go.problem.item2": "Limites generosos e acesso confiável",
   "go.problem.item3": "Feito para o maior número possível de programadores",
   "go.problem.item4":
-    "Inclui Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash e Hy3",
+    "Inclui Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro e DeepSeek V4 Flash",
   "go.how.title": "Como o Go funciona",
   "go.how.body":
     "O Go começa em $5 no primeiro mês, depois $10/mês. Você pode usá-lo com o OpenCode ou qualquer agente.",
@@ -333,7 +333,7 @@ export const dict = {
   "go.faq.a2": "O Go inclui os modelos listados abaixo, com limites generosos e acesso confiável.",
   "go.faq.q3": "O Go é o mesmo que o Zen?",
   "go.faq.a3":
-    "Não. Zen é pay-as-you-go, enquanto o Go começa em $5 no primeiro mês, depois $10/mês, com limites generosos e acesso confiável aos modelos open source Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash e Hy3.",
+    "Não. Zen é pay-as-you-go, enquanto o Go começa em $5 no primeiro mês, depois $10/mês, com limites generosos e acesso confiável aos modelos open source Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro e DeepSeek V4 Flash.",
   "go.faq.q4": "Quanto custa o Go?",
   "go.faq.a4.p1.beforePricing": "O Go custa",
   "go.faq.a4.p1.pricingLink": "$5 no primeiro mês",
@@ -357,7 +357,7 @@ export const dict = {
 
   "go.faq.q9": "Qual a diferença entre os modelos gratuitos e o Go?",
   "go.faq.a9":
-    "Os modelos gratuitos incluem Big Pickle e modelos promocionais disponíveis no momento, com uma cota de 200 requisições/dia. O Go inclui Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash e Hy3 com cotas de requisição mais altas aplicadas em janelas móveis (5 horas, semanal e mensal), aproximadamente equivalentes a $12 por 5 horas, $30 por semana e $60 por mês (as contagens reais de requisições variam de acordo com o modelo e o uso).",
+    "Os modelos gratuitos incluem Big Pickle e modelos promocionais disponíveis no momento, com uma cota de 200 requisições/dia. O Go inclui Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro e DeepSeek V4 Flash com cotas de requisição mais altas aplicadas em janelas móveis (5 horas, semanal e mensal), aproximadamente equivalentes a $12 por 5 horas, $30 por semana e $60 por mês (as contagens reais de requisições variam de acordo com o modelo e o uso).",
 
   "zen.api.error.rateLimitExceeded": "Limite de taxa excedido. Por favor, tente novamente mais tarde.",
   "zen.api.error.modelNotSupported": "Modelo {{model}} não suportado",

packages/console/app/src/i18n/da.ts

@@ -256,7 +256,7 @@ export const dict = {
   "go.title": "OpenCode Go | Kodningsmodeller til lav pris for alle",
   "go.banner.text": "Kimi K3 får fordoblet brugsgrænse i en begrænset periode",
   "go.meta.description":
-    "Go starter ved $5 for den første måned, derefter $10/måned, med generøse 5-timers anmodningsgrænser for Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash og Hy3.",
+    "Go starter ved $5 for den første måned, derefter $10/måned, med generøse 5-timers anmodningsgrænser for Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro og DeepSeek V4 Flash.",
   "go.hero.title": "Kodningsmodeller til lav pris for alle",
   "go.hero.body":
     "Go bringer agentisk kodning til programmører over hele verden. Med generøse grænser og pålidelig adgang til de mest kapable open source-modeller, så du kan bygge med kraftfulde agenter uden at bekymre dig om omkostninger eller tilgængelighed.",
@@ -304,7 +304,7 @@ export const dict = {
   "go.problem.item2": "Generøse grænser og pålidelig adgang",
   "go.problem.item3": "Bygget til så mange programmører som muligt",
   "go.problem.item4":
-    "Inkluderer Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash og Hy3",
+    "Inkluderer Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro og DeepSeek V4 Flash",
   "go.how.title": "Hvordan Go virker",
   "go.how.body":
     "Go starter ved $5 for den første måned, derefter $10/måned. Du kan bruge det med OpenCode eller enhver agent.",
@@ -330,7 +330,7 @@ export const dict = {
   "go.faq.a2": "Go inkluderer modellerne nedenfor med generøse grænser og pålidelig adgang.",
   "go.faq.q3": "Er Go det samme som Zen?",
   "go.faq.a3":
-    "Nej. Zen er pay-as-you-go, mens Go starter ved $5 for den første måned, derefter $10/måned, med generøse grænser og pålidelig adgang til open source-modellerne Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash og Hy3.",
+    "Nej. Zen er pay-as-you-go, mens Go starter ved $5 for den første måned, derefter $10/måned, med generøse grænser og pålidelig adgang til open source-modellerne Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro og DeepSeek V4 Flash.",
   "go.faq.q4": "Hvad koster Go?",
   "go.faq.a4.p1.beforePricing": "Go koster",
   "go.faq.a4.p1.pricingLink": "$5 første måned",
@@ -353,7 +353,7 @@ export const dict = {
 
   "go.faq.q9": "Hvad er forskellen på gratis modeller og Go?",
   "go.faq.a9":
-    "Gratis modeller inkluderer Big Pickle plus salgsfremmende modeller tilgængelige på det tidspunkt, med en kvote på 200 forespørgsler/dag. Go inkluderer Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash og Hy3 med højere anmodningskvoter håndhævet over rullende vinduer (5-timers, ugentlig og månedlig), nogenlunde svarende til $12 pr. 5 timer, $30 pr. uge og $60 pr. måned (faktiske anmodningstal varierer efter model og brug).",
+    "Gratis modeller inkluderer Big Pickle plus salgsfremmende modeller tilgængelige på det tidspunkt, med en kvote på 200 forespørgsler/dag. Go inkluderer Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro og DeepSeek V4 Flash med højere anmodningskvoter håndhævet over rullende vinduer (5-timers, ugentlig og månedlig), nogenlunde svarende til $12 pr. 5 timer, $30 pr. uge og $60 pr. måned (faktiske anmodningstal varierer efter model og brug).",
 
   "zen.api.error.rateLimitExceeded": "Hastighedsgrænse overskredet. Prøv venligst igen senere.",
   "zen.api.error.modelNotSupported": "Model {{model}} understøttes ikke",

packages/console/app/src/i18n/de.ts

@@ -258,7 +258,7 @@ export const dict = {
   "go.title": "OpenCode Go | Kostengünstige Coding-Modelle für alle",
   "go.banner.text": "Kimi K3 erhält für begrenzte Zeit 2x Nutzungslimits",
   "go.meta.description":
-    "Go beginnt bei $5 für den ersten Monat, danach $10/Monat, mit großzügigen 5-Stunden-Anfragelimits für Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash und Hy3.",
+    "Go beginnt bei $5 für den ersten Monat, danach $10/Monat, mit großzügigen 5-Stunden-Anfragelimits für Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro und DeepSeek V4 Flash.",
   "go.hero.title": "Kostengünstige Coding-Modelle für alle",
   "go.hero.body":
     "Go bringt Agentic Coding zu Programmierern auf der ganzen Welt. Mit großzügigen Limits und zuverlässigem Zugang zu den leistungsfähigsten Open-Source-Modellen, damit du mit leistungsstarken Agenten entwickeln kannst, ohne dir Gedanken über Kosten oder Verfügbarkeit zu machen.",
@@ -306,7 +306,7 @@ export const dict = {
   "go.problem.item2": "Großzügige Limits und zuverlässiger Zugang",
   "go.problem.item3": "Für so viele Programmierer wie möglich gebaut",
   "go.problem.item4":
-    "Beinhaltet Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash und Hy3",
+    "Beinhaltet Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro und DeepSeek V4 Flash",
   "go.how.title": "Wie Go funktioniert",
   "go.how.body":
     "Go beginnt bei $5 für den ersten Monat, danach $10/Monat. Du kannst es mit OpenCode oder jedem Agenten nutzen.",
@@ -332,7 +332,7 @@ export const dict = {
   "go.faq.a2": "Go umfasst die unten aufgeführten Modelle mit großzügigen Limits und zuverlässigem Zugriff.",
   "go.faq.q3": "Ist Go dasselbe wie Zen?",
   "go.faq.a3":
-    "Nein. Zen ist Pay-as-you-go, während Go bei $5 für den ersten Monat beginnt, danach $10/Monat, mit großzügigen Limits und zuverlässigem Zugang zu den Open-Source-Modellen Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash und Hy3.",
+    "Nein. Zen ist Pay-as-you-go, während Go bei $5 für den ersten Monat beginnt, danach $10/Monat, mit großzügigen Limits und zuverlässigem Zugang zu den Open-Source-Modellen Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro und DeepSeek V4 Flash.",
   "go.faq.q4": "Wie viel kostet Go?",
   "go.faq.a4.p1.beforePricing": "Go kostet",
   "go.faq.a4.p1.pricingLink": "$5 im ersten Monat",
@@ -356,7 +356,7 @@ export const dict = {
 
   "go.faq.q9": "Was ist der Unterschied zwischen kostenlosen Modellen und Go?",
   "go.faq.a9":
-    "Kostenlose Modelle beinhalten Big Pickle sowie Werbemodelle, die zum jeweiligen Zeitpunkt verfügbar sind, mit einem Kontingent von 200 Anfragen/Tag. Go beinhaltet Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash und Hy3 mit höheren Anfragekontingenten, die über rollierende Zeitfenster (5 Stunden, wöchentlich und monatlich) durchgesetzt werden, grob äquivalent zu $12 pro 5 Stunden, $30 pro Woche und $60 pro Monat (tatsächliche Anfragezahlen variieren je nach Modell und Nutzung).",
+    "Kostenlose Modelle beinhalten Big Pickle sowie Werbemodelle, die zum jeweiligen Zeitpunkt verfügbar sind, mit einem Kontingent von 200 Anfragen/Tag. Go beinhaltet Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro und DeepSeek V4 Flash mit höheren Anfragekontingenten, die über rollierende Zeitfenster (5 Stunden, wöchentlich und monatlich) durchgesetzt werden, grob äquivalent zu $12 pro 5 Stunden, $30 pro Woche und $60 pro Monat (tatsächliche Anfragezahlen variieren je nach Modell und Nutzung).",
 
   "zen.api.error.rateLimitExceeded": "Ratenlimit überschritten. Bitte versuche es später erneut.",
   "zen.api.error.modelNotSupported": "Modell {{model}} wird nicht unterstützt",

packages/console/app/src/i18n/en.ts

@@ -255,7 +255,7 @@ export const dict = {
   "go.title": "OpenCode Go | Low cost coding models for everyone",
   "go.banner.text": "Kimi K3 gets 2× usage limits for a limited time",
   "go.meta.description":
-    "Go starts at $5 for your first month, then $10/month, with generous 5-hour request limits for Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash, and Hy3.",
+    "Go starts at $5 for your first month, then $10/month, with generous 5-hour request limits for Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, and DeepSeek V4 Flash.",
   "go.hero.title": "Low cost coding models for everyone",
   "go.hero.body":
     "Go brings agentic coding to programmers around the world. Offering generous limits and reliable access to the most capable open-source models, so you can build with powerful agents without worrying about cost or availability.",
@@ -302,7 +302,7 @@ export const dict = {
   "go.problem.item2": "Generous limits and reliable access",
   "go.problem.item3": "Built for as many programmers as possible",
   "go.problem.item4":
-    "Includes Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash, and Hy3",
+    "Includes Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, and DeepSeek V4 Flash",
   "go.how.title": "How Go works",
   "go.how.body": "Go starts at $5 for your first month, then $10/month. You can use it with OpenCode or any agent.",
   "go.how.step1.title": "Create an account",
@@ -327,7 +327,7 @@ export const dict = {
   "go.faq.a2": "Go includes the models listed below, with generous limits and reliable access.",
   "go.faq.q3": "Is Go the same as Zen?",
   "go.faq.a3":
-    "No. Zen is pay-as-you-go, while Go starts at $5 for your first month, then $10/month, with generous limits and reliable access to open-source models Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash, and Hy3.",
+    "No. Zen is pay-as-you-go, while Go starts at $5 for your first month, then $10/month, with generous limits and reliable access to open-source models Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, and DeepSeek V4 Flash.",
   "go.faq.q4": "How much does Go cost?",
   "go.faq.a4.p1.beforePricing": "Go costs",
   "go.faq.a4.p1.pricingLink": "$5 first month",
@@ -351,7 +351,7 @@ export const dict = {
 
   "go.faq.q9": "What is the difference between free models and Go?",
   "go.faq.a9":
-    "Free models include Big Pickle plus promotional models available at the time, with a quota of 200 requests/day. Go includes Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash, and Hy3 with higher request quotas enforced across rolling windows (5-hour, weekly, and monthly), roughly equivalent to $12 per 5 hours, $30 per week, and $60 per month (actual request counts vary by model and usage).",
+    "Free models include Big Pickle plus promotional models available at the time, with a quota of 200 requests/day. Go includes Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, and DeepSeek V4 Flash with higher request quotas enforced across rolling windows (5-hour, weekly, and monthly), roughly equivalent to $12 per 5 hours, $30 per week, and $60 per month (actual request counts vary by model and usage).",
 
   "zen.api.error.rateLimitExceeded": "Rate limit exceeded. Please try again later.",
   "zen.api.error.modelNotSupported": "Model {{model}} is not supported",

packages/console/app/src/i18n/es.ts

@@ -259,7 +259,7 @@ export const dict = {
   "go.title": "OpenCode Go | Modelos de programación de bajo coste para todos",
   "go.banner.text": "Kimi K3 tiene límites de uso 2x mayores por tiempo limitado",
   "go.meta.description":
-    "Go comienza en $5 el primer mes, luego 10 $/mes, con generosos límites de solicitudes de 5 horas para Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash y Hy3.",
+    "Go comienza en $5 el primer mes, luego 10 $/mes, con generosos límites de solicitudes de 5 horas para Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro y DeepSeek V4 Flash.",
   "go.hero.title": "Modelos de programación de bajo coste para todos",
   "go.hero.body":
     "Go lleva la programación agéntica a programadores de todo el mundo. Ofrece límites generosos y acceso fiable a los modelos de código abierto más capaces, para que puedas crear con agentes potentes sin preocuparte por el coste o la disponibilidad.",
@@ -308,7 +308,7 @@ export const dict = {
   "go.problem.item2": "Límites generosos y acceso fiable",
   "go.problem.item3": "Creado para tantos programadores como sea posible",
   "go.problem.item4":
-    "Incluye Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash y Hy3",
+    "Incluye Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro y DeepSeek V4 Flash",
   "go.how.title": "Cómo funciona Go",
   "go.how.body": "Go comienza en $5 el primer mes, luego 10 $/mes. Puedes usarlo con OpenCode o cualquier agente.",
   "go.how.step1.title": "Crear una cuenta",
@@ -333,7 +333,7 @@ export const dict = {
   "go.faq.a2": "Go incluye los modelos que se indican abajo, con límites generosos y acceso confiable.",
   "go.faq.q3": "¿Es Go lo mismo que Zen?",
   "go.faq.a3":
-    "No. Zen es pago por uso, mientras que Go comienza en $5 el primer mes, luego 10 $/mes, con límites generosos y acceso fiable a los modelos de código abierto Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash y Hy3.",
+    "No. Zen es pago por uso, mientras que Go comienza en $5 el primer mes, luego 10 $/mes, con límites generosos y acceso fiable a los modelos de código abierto Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro y DeepSeek V4 Flash.",
   "go.faq.q4": "¿Cuánto cuesta Go?",
   "go.faq.a4.p1.beforePricing": "Go cuesta",
   "go.faq.a4.p1.pricingLink": "$5 el primer mes",
@@ -357,7 +357,7 @@ export const dict = {
 
   "go.faq.q9": "¿Cuál es la diferencia entre los modelos gratuitos y Go?",
   "go.faq.a9":
-    "Los modelos gratuitos incluyen Big Pickle más modelos promocionales disponibles en el momento, con una cuota de 200 solicitudes/día. Go incluye Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash y Hy3 con cuotas de solicitud más altas aplicadas a través de ventanas móviles (5 horas, semanal y mensual), aproximadamente equivalente a 12 $ por 5 horas, 30 $ por semana y 60 $ por mes (los recuentos reales de solicitudes varían según el modelo y el uso).",
+    "Los modelos gratuitos incluyen Big Pickle más modelos promocionales disponibles en el momento, con una cuota de 200 solicitudes/día. Go incluye Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro y DeepSeek V4 Flash con cuotas de solicitud más altas aplicadas a través de ventanas móviles (5 horas, semanal y mensual), aproximadamente equivalente a 12 $ por 5 horas, 30 $ por semana y 60 $ por mes (los recuentos reales de solicitudes varían según el modelo y el uso).",
 
   "zen.api.error.rateLimitExceeded": "Límite de tasa excedido. Por favor, inténtalo de nuevo más tarde.",
   "zen.api.error.modelNotSupported": "Modelo {{model}} no soportado",

packages/console/app/src/i18n/fr.ts

@@ -260,7 +260,7 @@ export const dict = {
   "go.title": "OpenCode Go | Modèles de code à faible coût pour tous",
   "go.banner.text": "Kimi K3 bénéficie de limites d’utilisation 2x supérieures pour une durée limitée",
   "go.meta.description":
-    "Go commence à $5 pour le premier mois, puis 10 $/mois, avec des limites de requêtes généreuses sur 5 heures pour Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash et Hy3.",
+    "Go commence à $5 pour le premier mois, puis 10 $/mois, avec des limites de requêtes généreuses sur 5 heures pour Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro et DeepSeek V4 Flash.",
   "go.hero.title": "Modèles de code à faible coût pour tous",
   "go.hero.body":
     "Go apporte le codage agentique aux programmeurs du monde entier. Offrant des limites généreuses et un accès fiable aux modèles open source les plus capables, pour que vous puissiez construire avec des agents puissants sans vous soucier du coût ou de la disponibilité.",
@@ -308,7 +308,7 @@ export const dict = {
   "go.problem.item2": "Limites généreuses et accès fiable",
   "go.problem.item3": "Conçu pour autant de programmeurs que possible",
   "go.problem.item4":
-    "Inclut Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash et Hy3",
+    "Inclut Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro et DeepSeek V4 Flash",
   "go.how.title": "Comment fonctionne Go",
   "go.how.body":
     "Go commence à $5 pour le premier mois, puis 10 $/mois. Vous pouvez l'utiliser avec OpenCode ou n'importe quel agent.",
@@ -334,7 +334,7 @@ export const dict = {
   "go.faq.a2": "Go inclut les modèles ci-dessous, avec des limites généreuses et un accès fiable.",
   "go.faq.q3": "Est-ce que Go est la même chose que Zen ?",
   "go.faq.a3":
-    "Non. Zen est un paiement à l'utilisation, tandis que Go commence à $5 pour le premier mois, puis 10 $/mois, avec des limites généreuses et un accès fiable aux modèles open source Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash et Hy3.",
+    "Non. Zen est un paiement à l'utilisation, tandis que Go commence à $5 pour le premier mois, puis 10 $/mois, avec des limites généreuses et un accès fiable aux modèles open source Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro et DeepSeek V4 Flash.",
   "go.faq.q4": "Combien coûte Go ?",
   "go.faq.a4.p1.beforePricing": "Go coûte",
   "go.faq.a4.p1.pricingLink": "$5 le premier mois",
@@ -357,7 +357,7 @@ export const dict = {
     "Oui, vous pouvez utiliser Go avec n'importe quel agent. Suivez les instructions de configuration dans votre agent de code préféré.",
   "go.faq.q9": "Quelle est la différence entre les modèles gratuits et Go ?",
   "go.faq.a9":
-    "Les modèles gratuits incluent Big Pickle ainsi que des modèles promotionnels disponibles à ce moment-là, avec un quota de 200 requêtes/jour. Go inclut Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash et Hy3 avec des quotas de requêtes plus élevés appliqués sur des fenêtres glissantes (5 heures, hebdomadaire et mensuelle), à peu près équivalent à 12 $ par 5 heures, 30 $ par semaine et 60 $ par mois (le nombre réel de requêtes varie selon le modèle et l'utilisation).",
+    "Les modèles gratuits incluent Big Pickle ainsi que des modèles promotionnels disponibles à ce moment-là, avec un quota de 200 requêtes/jour. Go inclut Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro et DeepSeek V4 Flash avec des quotas de requêtes plus élevés appliqués sur des fenêtres glissantes (5 heures, hebdomadaire et mensuelle), à peu près équivalent à 12 $ par 5 heures, 30 $ par semaine et 60 $ par mois (le nombre réel de requêtes varie selon le modèle et l'utilisation).",
 
   "zen.api.error.rateLimitExceeded": "Limite de débit dépassée. Veuillez réessayer plus tard.",
   "zen.api.error.modelNotSupported": "Modèle {{model}} non pris en charge",

packages/console/app/src/i18n/it.ts

@@ -256,7 +256,7 @@ export const dict = {
   "go.title": "OpenCode Go | Modelli di coding a basso costo per tutti",
   "go.banner.text": "Kimi K3 offre limiti di utilizzo 2x superiori per un periodo limitato",
   "go.meta.description":
-    "Go inizia a $5 per il primo mese, poi $10/mese, con generosi limiti di richiesta di 5 ore per Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash e Hy3.",
+    "Go inizia a $5 per il primo mese, poi $10/mese, con generosi limiti di richiesta di 5 ore per Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro e DeepSeek V4 Flash.",
   "go.hero.title": "Modelli di coding a basso costo per tutti",
   "go.hero.body":
     "Go porta il coding agentico ai programmatori di tutto il mondo. Offrendo limiti generosi e un accesso affidabile ai modelli open source più capaci, in modo da poter costruire con agenti potenti senza preoccuparsi dei costi o della disponibilità.",
@@ -304,7 +304,7 @@ export const dict = {
   "go.problem.item2": "Limiti generosi e accesso affidabile",
   "go.problem.item3": "Costruito per il maggior numero possibile di programmatori",
   "go.problem.item4":
-    "Include Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash e Hy3",
+    "Include Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro e DeepSeek V4 Flash",
   "go.how.title": "Come funziona Go",
   "go.how.body": "Go inizia a $5 per il primo mese, poi $10/mese. Puoi usarlo con OpenCode o qualsiasi agente.",
   "go.how.step1.title": "Crea un account",
@@ -329,7 +329,7 @@ export const dict = {
   "go.faq.a2": "Go include i modelli elencati di seguito, con limiti generosi e accesso affidabile.",
   "go.faq.q3": "Go è lo stesso di Zen?",
   "go.faq.a3":
-    "No. Zen è a consumo, mentre Go inizia a $5 per il primo mese, poi $10/mese, con limiti generosi e accesso affidabile ai modelli open source Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash e Hy3.",
+    "No. Zen è a consumo, mentre Go inizia a $5 per il primo mese, poi $10/mese, con limiti generosi e accesso affidabile ai modelli open source Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro e DeepSeek V4 Flash.",
   "go.faq.q4": "Quanto costa Go?",
   "go.faq.a4.p1.beforePricing": "Go costa",
   "go.faq.a4.p1.pricingLink": "$5 il primo mese",
@@ -353,7 +353,7 @@ export const dict = {
 
   "go.faq.q9": "Qual è la differenza tra i modelli gratuiti e Go?",
   "go.faq.a9":
-    "I modelli gratuiti includono Big Pickle più modelli promozionali disponibili al momento, con una quota di 200 richieste/giorno. Go include Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash e Hy3 con quote di richiesta più elevate applicate su finestre mobili (5 ore, settimanale e mensile), approssimativamente equivalenti a $12 ogni 5 ore, $30 a settimana e $60 al mese (il conteggio effettivo delle richieste varia in base al modello e all'utilizzo).",
+    "I modelli gratuiti includono Big Pickle più modelli promozionali disponibili al momento, con una quota di 200 richieste/giorno. Go include Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro e DeepSeek V4 Flash con quote di richiesta più elevate applicate su finestre mobili (5 ore, settimanale e mensile), approssimativamente equivalenti a $12 ogni 5 ore, $30 a settimana e $60 al mese (il conteggio effettivo delle richieste varia in base al modello e all'utilizzo).",
 
   "zen.api.error.rateLimitExceeded": "Limite di richieste superato. Riprova più tardi.",
   "zen.api.error.modelNotSupported": "Modello {{model}} non supportato",

packages/console/app/src/i18n/ja.ts

@@ -255,7 +255,7 @@ export const dict = {
   "go.title": "OpenCode Go | すべての人のための低価格なコーディングモデル",
   "go.banner.text": "Kimi K3の利用上限が期間限定で2倍に",
   "go.meta.description":
-    "Goは最初の月$5、その後$10/月で、Grok 4.5、GLM-5.2、GLM-5.1、Kimi K3、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro、DeepSeek V4 Flash、Hy3に対して5時間のゆとりあるリクエスト上限があります。",
+    "Goは最初の月$5、その後$10/月で、Grok 4.5、GLM-5.2、GLM-5.1、Kimi K3、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro、DeepSeek V4 Flashに対して5時間のゆとりあるリクエスト上限があります。",
   "go.hero.title": "すべての人のための低価格なコーディングモデル",
   "go.hero.body":
     "Goは、世界中のプログラマーにエージェント型コーディングをもたらします。最も高性能なオープンソースモデルへの十分な制限と安定したアクセスを提供し、コストや可用性を気にすることなく強力なエージェントで構築できます。",
@@ -304,7 +304,7 @@ export const dict = {
   "go.problem.item2": "十分な制限と安定したアクセス",
   "go.problem.item3": "できるだけ多くのプログラマーのために構築",
   "go.problem.item4":
-    "Grok 4.5、GLM-5.2、GLM-5.1、Kimi K3、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro、DeepSeek V4 Flash、Hy3を含む",
+    "Grok 4.5、GLM-5.2、GLM-5.1、Kimi K3、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro、DeepSeek V4 Flashを含む",
   "go.how.title": "Goの仕組み",
   "go.how.body": "Goは最初の月$5、その後$10/月で始まります。OpenCodeまたは任意のエージェントで使えます。",
   "go.how.step1.title": "アカウントを作成",
@@ -329,7 +329,7 @@ export const dict = {
   "go.faq.a2": "Go には、十分な利用上限と安定したアクセスを備えた、以下のモデルが含まれます。",
   "go.faq.q3": "GoはZenと同じですか？",
   "go.faq.a3":
-    "いいえ。Zenは従量課金制ですが、Goは最初の月$5、その後$10/月で始まり、Grok 4.5、GLM-5.2、GLM-5.1、Kimi K3、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro、DeepSeek V4 Flash、Hy3のオープンソースモデルに対して、ゆとりある上限と信頼できるアクセスを提供します。",
+    "いいえ。Zenは従量課金制ですが、Goは最初の月$5、その後$10/月で始まり、Grok 4.5、GLM-5.2、GLM-5.1、Kimi K3、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro、DeepSeek V4 Flashのオープンソースモデルに対して、ゆとりある上限と信頼できるアクセスを提供します。",
   "go.faq.q4": "Goの料金は？",
   "go.faq.a4.p1.beforePricing": "Goは",
   "go.faq.a4.p1.pricingLink": "最初の月$5",
@@ -353,7 +353,7 @@ export const dict = {
 
   "go.faq.q9": "無料モデルとGoの違いは何ですか？",
   "go.faq.a9":
-    "無料モデルにはBig Pickleと、その時点で利用可能なプロモーションモデルが含まれ、1日200リクエストの制限があります。GoにはGrok 4.5、GLM-5.2、GLM-5.1、Kimi K3、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro、DeepSeek V4 Flash、Hy3が含まれ、ローリングウィンドウ（5時間、週間、月間）全体でより高いリクエスト制限が適用されます。これは概算で5時間あたり$12、週間$30、月間$60相当です（実際のリクエスト数はモデルと使用状況により異なります）。",
+    "無料モデルにはBig Pickleと、その時点で利用可能なプロモーションモデルが含まれ、1日200リクエストの制限があります。GoにはGrok 4.5、GLM-5.2、GLM-5.1、Kimi K3、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro、DeepSeek V4 Flashが含まれ、ローリングウィンドウ（5時間、週間、月間）全体でより高いリクエスト制限が適用されます。これは概算で5時間あたり$12、週間$30、月間$60相当です（実際のリクエスト数はモデルと使用状況により異なります）。",
 
   "zen.api.error.rateLimitExceeded": "レート制限を超えました。後でもう一度お試しください。",
   "zen.api.error.modelNotSupported": "モデル {{model}} はサポートされていません",

packages/console/app/src/i18n/ko.ts

@@ -252,7 +252,7 @@ export const dict = {
   "go.title": "OpenCode Go | 모두를 위한 저비용 코딩 모델",
   "go.banner.text": "Kimi K3 사용 한도가 한시적으로 2배 확대됩니다",
   "go.meta.description":
-    "Go는 첫 달 $5, 이후 $10/월로 시작하며, Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash, Hy3에 대해 넉넉한 5시간 요청 한도를 제공합니다.",
+    "Go는 첫 달 $5, 이후 $10/월로 시작하며, Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash에 대해 넉넉한 5시간 요청 한도를 제공합니다.",
   "go.hero.title": "모두를 위한 저비용 코딩 모델",
   "go.hero.body":
     "Go는 전 세계 프로그래머들에게 에이전트 코딩을 제공합니다. 가장 유능한 오픈 소스 모델에 대한 넉넉한 한도와 안정적인 액세스를 제공하므로, 비용이나 가용성 걱정 없이 강력한 에이전트로 빌드할 수 있습니다.",
@@ -301,7 +301,7 @@ export const dict = {
   "go.problem.item2": "넉넉한 한도와 안정적인 액세스",
   "go.problem.item3": "가능한 한 많은 프로그래머를 위해 제작됨",
   "go.problem.item4":
-    "Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash, Hy3 포함",
+    "Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash 포함",
   "go.how.title": "Go 작동 방식",
   "go.how.body": "Go는 첫 달 $5, 이후 $10/월로 시작합니다. OpenCode 또는 어떤 에이전트와도 함께 사용할 수 있습니다.",
   "go.how.step1.title": "계정 생성",
@@ -325,7 +325,7 @@ export const dict = {
   "go.faq.a2": "Go에는 넉넉한 한도와 안정적인 액세스를 제공하는 아래 모델이 포함됩니다.",
   "go.faq.q3": "Go는 Zen과 같은가요?",
   "go.faq.a3":
-    "아니요. Zen은 종량제인 반면, Go는 첫 달 $5, 이후 $10/월로 시작하며, Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash, Hy3 오픈 소스 모델에 대한 넉넉한 한도와 안정적인 액세스를 제공합니다.",
+    "아니요. Zen은 종량제인 반면, Go는 첫 달 $5, 이후 $10/월로 시작하며, Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash 오픈 소스 모델에 대한 넉넉한 한도와 안정적인 액세스를 제공합니다.",
   "go.faq.q4": "Go 비용은 얼마인가요?",
   "go.faq.a4.p1.beforePricing": "Go 비용은",
   "go.faq.a4.p1.pricingLink": "첫 달 $5",
@@ -348,7 +348,7 @@ export const dict = {
 
   "go.faq.q9": "무료 모델과 Go의 차이점은 무엇인가요?",
   "go.faq.a9":
-    "무료 모델에는 Big Pickle과 당시 사용 가능한 프로모션 모델이 포함되며, 하루 200회 요청 할당량이 적용됩니다. Go는 Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash, Hy3를 포함하며, 롤링 윈도우(5시간, 주간, 월간)에 걸쳐 더 높은 요청 할당량을 적용합니다. 이는 대략 5시간당 $12, 주당 $30, 월 $60에 해당합니다(실제 요청 수는 모델 및 사용량에 따라 다름).",
+    "무료 모델에는 Big Pickle과 당시 사용 가능한 프로모션 모델이 포함되며, 하루 200회 요청 할당량이 적용됩니다. Go는 Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash를 포함하며, 롤링 윈도우(5시간, 주간, 월간)에 걸쳐 더 높은 요청 할당량을 적용합니다. 이는 대략 5시간당 $12, 주당 $30, 월 $60에 해당합니다(실제 요청 수는 모델 및 사용량에 따라 다름).",
 
   "zen.api.error.rateLimitExceeded": "속도 제한을 초과했습니다. 나중에 다시 시도해 주세요.",
   "zen.api.error.modelNotSupported": "{{model}} 모델은 지원되지 않습니다",

packages/console/app/src/i18n/no.ts

@@ -256,7 +256,7 @@ export const dict = {
   "go.title": "OpenCode Go | Rimelige kodemodeller for alle",
   "go.banner.text": "Kimi K3 får 2x bruksgrense i en begrenset periode",
   "go.meta.description":
-    "Go starter på $5 for den første måneden, deretter $10/måned, med sjenerøse 5-timers forespørselsgrenser for Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash og Hy3.",
+    "Go starter på $5 for den første måneden, deretter $10/måned, med sjenerøse 5-timers forespørselsgrenser for Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro og DeepSeek V4 Flash.",
   "go.hero.title": "Rimelige kodemodeller for alle",
   "go.hero.body":
     "Go bringer agent-koding til programmerere over hele verden. Med rause grenser og pålitelig tilgang til de mest kapable åpen kildekode-modellene, kan du bygge med kraftige agenter uten å bekymre deg for kostnader eller tilgjengelighet.",
@@ -304,7 +304,7 @@ export const dict = {
   "go.problem.item2": "Rause grenser og pålitelig tilgang",
   "go.problem.item3": "Bygget for så mange programmerere som mulig",
   "go.problem.item4":
-    "Inkluderer Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash og Hy3",
+    "Inkluderer Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro og DeepSeek V4 Flash",
   "go.how.title": "Hvordan Go fungerer",
   "go.how.body":
     "Go starter på $5 for den første måneden, deretter $10/måned. Du kan bruke det med OpenCode eller hvilken som helst agent.",
@@ -330,7 +330,7 @@ export const dict = {
   "go.faq.a2": "Go inkluderer modellene nedenfor, med høye grenser og pålitelig tilgang.",
   "go.faq.q3": "Er Go det samme som Zen?",
   "go.faq.a3":
-    "Nei. Zen er betaling etter bruk, mens Go starter på $5 for den første måneden, deretter $10/måned, med sjenerøse grenser og pålitelig tilgang til åpen kildekode-modellene Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash og Hy3.",
+    "Nei. Zen er betaling etter bruk, mens Go starter på $5 for den første måneden, deretter $10/måned, med sjenerøse grenser og pålitelig tilgang til åpen kildekode-modellene Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro og DeepSeek V4 Flash.",
   "go.faq.q4": "Hva koster Go?",
   "go.faq.a4.p1.beforePricing": "Go koster",
   "go.faq.a4.p1.pricingLink": "$5 første måned",
@@ -354,7 +354,7 @@ export const dict = {
 
   "go.faq.q9": "Hva er forskjellen mellom gratis modeller og Go?",
   "go.faq.a9":
-    "Gratis modeller inkluderer Big Pickle pluss kampanjemodeller tilgjengelig på det tidspunktet, med en kvote på 200 forespørsler/dag. Go inkluderer Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash og Hy3 med høyere kvoter håndhevet over rullerende vinduer (5 timer, ukentlig og månedlig), omtrent tilsvarende $12 per 5 timer, $30 per uke og $60 per måned (faktiske forespørselsantall varierer etter modell og bruk).",
+    "Gratis modeller inkluderer Big Pickle pluss kampanjemodeller tilgjengelig på det tidspunktet, med en kvote på 200 forespørsler/dag. Go inkluderer Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro og DeepSeek V4 Flash med høyere kvoter håndhevet over rullerende vinduer (5 timer, ukentlig og månedlig), omtrent tilsvarende $12 per 5 timer, $30 per uke og $60 per måned (faktiske forespørselsantall varierer etter modell og bruk).",
 
   "zen.api.error.rateLimitExceeded": "Rate limit overskredet. Vennligst prøv igjen senere.",
   "zen.api.error.modelNotSupported": "Modell {{model}} støttes ikke",

packages/console/app/src/i18n/pl.ts

@@ -257,7 +257,7 @@ export const dict = {
   "go.title": "OpenCode Go | Niskokosztowe modele do kodowania dla każdego",
   "go.banner.text": "Kimi K3 oferuje 2x wyższe limity użycia przez ograniczony czas",
   "go.meta.description":
-    "Go zaczyna się od $5 za pierwszy miesiąc, potem $10/miesiąc, z hojnymi 5-godzinnymi limitami zapytań dla Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash i Hy3.",
+    "Go zaczyna się od $5 za pierwszy miesiąc, potem $10/miesiąc, z hojnymi 5-godzinnymi limitami zapytań dla Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro i DeepSeek V4 Flash.",
   "go.hero.title": "Niskokosztowe modele do kodowania dla każdego",
   "go.hero.body":
     "Go udostępnia programowanie z agentami programistom na całym świecie. Oferuje hojne limity i niezawodny dostęp do najzdolniejszych modeli open source, dzięki czemu możesz budować za pomocą potężnych agentów, nie martwiąc się o koszty czy dostępność.",
@@ -305,7 +305,7 @@ export const dict = {
   "go.problem.item2": "Hojne limity i niezawodny dostęp",
   "go.problem.item3": "Stworzony dla jak największej liczby programistów",
   "go.problem.item4":
-    "Zawiera Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash i Hy3",
+    "Zawiera Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro i DeepSeek V4 Flash",
   "go.how.title": "Jak działa Go",
   "go.how.body":
     "Go zaczyna się od $5 za pierwszy miesiąc, potem $10/miesiąc. Możesz go używać z OpenCode lub dowolnym agentem.",
@@ -331,7 +331,7 @@ export const dict = {
   "go.faq.a2": "Go obejmuje poniższe modele z wysokimi limitami i niezawodnym dostępem.",
   "go.faq.q3": "Czy Go to to samo co Zen?",
   "go.faq.a3":
-    "Nie. Zen to model płatności za użycie, podczas gdy Go zaczyna się od $5 za pierwszy miesiąc, potem $10/miesiąc, z hojnymi limitami i niezawodnym dostępem do modeli open source Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash i Hy3.",
+    "Nie. Zen to model płatności za użycie, podczas gdy Go zaczyna się od $5 za pierwszy miesiąc, potem $10/miesiąc, z hojnymi limitami i niezawodnym dostępem do modeli open source Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro i DeepSeek V4 Flash.",
   "go.faq.q4": "Ile kosztuje Go?",
   "go.faq.a4.p1.beforePricing": "Go kosztuje",
   "go.faq.a4.p1.pricingLink": "$5 za pierwszy miesiąc",
@@ -355,7 +355,7 @@ export const dict = {
 
   "go.faq.q9": "Jaka jest różnica między darmowymi modelami a Go?",
   "go.faq.a9":
-    "Darmowe modele obejmują Big Pickle oraz modele promocyjne dostępne w danym momencie, z limitem 200 zapytań/dzień. Go zawiera Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash i Hy3 z wyższymi limitami zapytań egzekwowanymi w oknach kroczących (5-godzinnych, tygodniowych i miesięcznych), w przybliżeniu równoważnymi $12 na 5 godzin, $30 tygodniowo i $60 miesięcznie (rzeczywista liczba zapytań zależy od modelu i użycia).",
+    "Darmowe modele obejmują Big Pickle oraz modele promocyjne dostępne w danym momencie, z limitem 200 zapytań/dzień. Go zawiera Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro i DeepSeek V4 Flash z wyższymi limitami zapytań egzekwowanymi w oknach kroczących (5-godzinnych, tygodniowych i miesięcznych), w przybliżeniu równoważnymi $12 na 5 godzin, $30 tygodniowo i $60 miesięcznie (rzeczywista liczba zapytań zależy od modelu i użycia).",
 
   "zen.api.error.rateLimitExceeded": "Przekroczono limit zapytań. Spróbuj ponownie później.",
   "zen.api.error.modelNotSupported": "Model {{model}} nie jest obsługiwany",

packages/console/app/src/i18n/ru.ts

@@ -260,7 +260,7 @@ export const dict = {
   "go.title": "OpenCode Go | Недорогие модели для кодинга для всех",
   "go.banner.text": "Kimi K3 получает 2x лимиты использования на ограниченное время",
   "go.meta.description":
-    "Go начинается с $5 за первый месяц, затем $10/месяц, с щедрыми лимитами запросов за 5 часов для Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash и Hy3.",
+    "Go начинается с $5 за первый месяц, затем $10/месяц, с щедрыми лимитами запросов за 5 часов для Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro и DeepSeek V4 Flash.",
   "go.hero.title": "Недорогие модели для кодинга для всех",
   "go.hero.body":
     "Go открывает доступ к агентам-программистам разработчикам по всему миру. Предлагая щедрые лимиты и надежный доступ к наиболее способным моделям с открытым исходным кодом, вы можете создавать проекты с мощными агентами, не беспокоясь о затратах или доступности.",
@@ -309,7 +309,7 @@ export const dict = {
   "go.problem.item2": "Щедрые лимиты и надежный доступ",
   "go.problem.item3": "Создан для максимального числа программистов",
   "go.problem.item4":
-    "Включает Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash и Hy3",
+    "Включает Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro и DeepSeek V4 Flash",
   "go.how.title": "Как работает Go",
   "go.how.body":
     "Go начинается с $5 за первый месяц, затем $10/месяц. Вы можете использовать его с OpenCode или любым агентом.",
@@ -335,7 +335,7 @@ export const dict = {
   "go.faq.a2": "Go включает перечисленные ниже модели с щедрыми лимитами и надежным доступом.",
   "go.faq.q3": "Go — это то же самое, что и Zen?",
   "go.faq.a3":
-    "Нет. Zen - это оплата по мере использования, в то время как Go начинается с $5 за первый месяц, затем $10/месяц, с щедрыми лимитами и надежным доступом к моделям с открытым исходным кодом Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash и Hy3.",
+    "Нет. Zen - это оплата по мере использования, в то время как Go начинается с $5 за первый месяц, затем $10/месяц, с щедрыми лимитами и надежным доступом к моделям с открытым исходным кодом Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro и DeepSeek V4 Flash.",
   "go.faq.q4": "Сколько стоит Go?",
   "go.faq.a4.p1.beforePricing": "Go стоит",
   "go.faq.a4.p1.pricingLink": "$5 за первый месяц",
@@ -359,7 +359,7 @@ export const dict = {
 
   "go.faq.q9": "В чем разница между бесплатными моделями и Go?",
   "go.faq.a9":
-    "Бесплатные модели включают Big Pickle плюс промо-модели, доступные на данный момент, с квотой 200 запросов/день. Go включает Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash и Hy3 с более высокими квотами запросов, применяемыми в скользящих окнах (5 часов, неделя и месяц), что примерно эквивалентно $12 за 5 часов, $30 в неделю и $60 в месяц (фактическое количество запросов зависит от модели и использования).",
+    "Бесплатные модели включают Big Pickle плюс промо-модели, доступные на данный момент, с квотой 200 запросов/день. Go включает Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro и DeepSeek V4 Flash с более высокими квотами запросов, применяемыми в скользящих окнах (5 часов, неделя и месяц), что примерно эквивалентно $12 за 5 часов, $30 в неделю и $60 в месяц (фактическое количество запросов зависит от модели и использования).",
 
   "zen.api.error.rateLimitExceeded": "Превышен лимит запросов. Пожалуйста, попробуйте позже.",
   "zen.api.error.modelNotSupported": "Модель {{model}} не поддерживается",

packages/console/app/src/i18n/th.ts

@@ -255,7 +255,7 @@ export const dict = {
   "go.title": "OpenCode Go | โมเดลเขียนโค้ดราคาประหยัดสำหรับทุกคน",
   "go.banner.text": "Kimi K3 เพิ่มโควตาการใช้งานเป็น 2 เท่าในช่วงเวลาจำกัด",
   "go.meta.description":
-    "Go เริ่มต้นที่ $5 สำหรับเดือนแรก จากนั้น $10/เดือน พร้อมขีดจำกัดคำขอ 5 ชั่วโมงที่เอื้อเฟื้อสำหรับ Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash และ Hy3",
+    "Go เริ่มต้นที่ $5 สำหรับเดือนแรก จากนั้น $10/เดือน พร้อมขีดจำกัดคำขอ 5 ชั่วโมงที่เอื้อเฟื้อสำหรับ Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro และ DeepSeek V4 Flash",
   "go.hero.title": "โมเดลเขียนโค้ดราคาประหยัดสำหรับทุกคน",
   "go.hero.body":
     "Go นำการเขียนโค้ดแบบเอเจนต์มาสู่นักเขียนโปรแกรมทั่วโลก เสนอขีดจำกัดที่กว้างขวางและการเข้าถึงโมเดลโอเพนซอร์สที่มีความสามารถสูงสุดได้อย่างน่าเชื่อถือ เพื่อให้คุณสามารถสร้างสรรค์ด้วยเอเจนต์ที่ทรงพลังโดยไม่ต้องกังวลเรื่องค่าใช้จ่ายหรือความพร้อมใช้งาน",
@@ -302,7 +302,7 @@ export const dict = {
   "go.problem.item2": "ขีดจำกัดที่กว้างขวางและการเข้าถึงที่เชื่อถือได้",
   "go.problem.item3": "สร้างขึ้นเพื่อโปรแกรมเมอร์จำนวนมากที่สุดเท่าที่จะเป็นไปได้",
   "go.problem.item4":
-    "รวมถึง Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash และ Hy3",
+    "รวมถึง Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro และ DeepSeek V4 Flash",
   "go.how.title": "Go ทำงานอย่างไร",
   "go.how.body": "Go เริ่มต้นที่ $5 สำหรับเดือนแรก จากนั้น $10/เดือน คุณสามารถใช้กับ OpenCode หรือเอเจนต์ใดก็ได้",
   "go.how.step1.title": "สร้างบัญชี",
@@ -327,7 +327,7 @@ export const dict = {
   "go.faq.a2": "Go รวมโมเดลด้านล่างนี้ พร้อมขีดจำกัดที่มากและการเข้าถึงที่เชื่อถือได้",
   "go.faq.q3": "Go เหมือนกับ Zen หรือไม่?",
   "go.faq.a3":
-    "ไม่ Zen เป็นแบบจ่ายตามการใช้งาน ในขณะที่ Go เริ่มต้นที่ $5 สำหรับเดือนแรก จากนั้น $10/เดือน พร้อมขีดจำกัดที่เอื้อเฟื้อและการเข้าถึงโมเดลโอเพนซอร์ส Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash และ Hy3 อย่างเชื่อถือได้",
+    "ไม่ Zen เป็นแบบจ่ายตามการใช้งาน ในขณะที่ Go เริ่มต้นที่ $5 สำหรับเดือนแรก จากนั้น $10/เดือน พร้อมขีดจำกัดที่เอื้อเฟื้อและการเข้าถึงโมเดลโอเพนซอร์ส Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro และ DeepSeek V4 Flash อย่างเชื่อถือได้",
   "go.faq.q4": "Go ราคาเท่าไหร่?",
   "go.faq.a4.p1.beforePricing": "Go ราคา",
   "go.faq.a4.p1.pricingLink": "$5 เดือนแรก",
@@ -350,7 +350,7 @@ export const dict = {
 
   "go.faq.q9": "ความแตกต่างระหว่างโมเดลฟรีและ Go คืออะไร?",
   "go.faq.a9":
-    "โมเดลฟรีรวมถึง Big Pickle บวกกับโมเดลโปรโมชั่นที่มีให้ในขณะนั้น ด้วยโควต้า 200 คำขอ/วัน Go รวมถึง Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash และ Hy3 ที่มีโควต้าคำขอสูงกว่า ซึ่งบังคับใช้ผ่านช่วงเวลาหมุนเวียน (5 ชั่วโมง, รายสัปดาห์ และรายเดือน) เทียบเท่าประมาณ $12 ต่อ 5 ชั่วโมง, $30 ต่อสัปดาห์ และ $60 ต่อเดือน (จำนวนคำขอจริงจะแตกต่างกันไปตามโมเดลและการใช้งาน)",
+    "โมเดลฟรีรวมถึง Big Pickle บวกกับโมเดลโปรโมชั่นที่มีให้ในขณะนั้น ด้วยโควต้า 200 คำขอ/วัน Go รวมถึง Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro และ DeepSeek V4 Flash ที่มีโควต้าคำขอสูงกว่า ซึ่งบังคับใช้ผ่านช่วงเวลาหมุนเวียน (5 ชั่วโมง, รายสัปดาห์ และรายเดือน) เทียบเท่าประมาณ $12 ต่อ 5 ชั่วโมง, $30 ต่อสัปดาห์ และ $60 ต่อเดือน (จำนวนคำขอจริงจะแตกต่างกันไปตามโมเดลและการใช้งาน)",
 
   "zen.api.error.rateLimitExceeded": "เกินขีดจำกัดอัตราการใช้งาน กรุณาลองใหม่ในภายหลัง",
   "zen.api.error.modelNotSupported": "ไม่รองรับโมเดล {{model}}",

packages/console/app/src/i18n/tr.ts

@@ -258,7 +258,7 @@ export const dict = {
   "go.title": "OpenCode Go | Herkes için düşük maliyetli kodlama modelleri",
   "go.banner.text": "Kimi K3 sınırlı bir süre için 2x kullanım limiti sunuyor",
   "go.meta.description":
-    "Go ilk ay $5, sonrasında ayda 10$ fiyatıyla başlar; Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash ve Hy3 için cömert 5 saatlik istek limitleri sunar.",
+    "Go ilk ay $5, sonrasında ayda 10$ fiyatıyla başlar; Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro ve DeepSeek V4 Flash için cömert 5 saatlik istek limitleri sunar.",
   "go.hero.title": "Herkes için düşük maliyetli kodlama modelleri",
   "go.hero.body":
     "Go, dünya çapındaki programcılara ajan tabanlı kodlama getiriyor. En yetenekli açık kaynaklı modellere cömert limitler ve güvenilir erişim sunarak, maliyet veya erişilebilirlik konusunda endişelenmeden güçlü ajanlarla geliştirme yapmanızı sağlar.",
@@ -307,7 +307,7 @@ export const dict = {
   "go.problem.item2": "Cömert limitler ve güvenilir erişim",
   "go.problem.item3": "Mümkün olduğunca çok programcı için geliştirildi",
   "go.problem.item4":
-    "Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash ve Hy3 içerir",
+    "Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro ve DeepSeek V4 Flash içerir",
   "go.how.title": "Go nasıl çalışır?",
   "go.how.body":
     "Go ilk ay $5, sonrasında ayda 10$ fiyatıyla başlar. OpenCode veya herhangi bir ajanla kullanabilirsiniz.",
@@ -333,7 +333,7 @@ export const dict = {
   "go.faq.a2": "Go, aşağıda listelenen modelleri cömert limitler ve güvenilir erişimle sunar.",
   "go.faq.q3": "Go, Zen ile aynı mı?",
   "go.faq.a3":
-    "Hayır. Zen kullandıkça öde modelidir, Go ise ilk ay $5, sonrasında ayda 10$ fiyatıyla başlar; Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash ve Hy3 açık kaynak modellerine cömert limitler ve güvenilir erişim sunar.",
+    "Hayır. Zen kullandıkça öde modelidir, Go ise ilk ay $5, sonrasında ayda 10$ fiyatıyla başlar; Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro ve DeepSeek V4 Flash açık kaynak modellerine cömert limitler ve güvenilir erişim sunar.",
   "go.faq.q4": "Go ne kadar?",
   "go.faq.a4.p1.beforePricing": "Go'nun maliyeti",
   "go.faq.a4.p1.pricingLink": "İlk ay $5",
@@ -357,7 +357,7 @@ export const dict = {
 
   "go.faq.q9": "Ücretsiz modeller ve Go arasındaki fark nedir?",
   "go.faq.a9":
-    "Ücretsiz modeller, günlük 200 istek kotası ile Big Pickle ve o sırada mevcut olan promosyonel modelleri içerir. Go ise Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash ve Hy3 modellerini; yuvarlanan pencereler (5 saatlik, haftalık ve aylık) üzerinden uygulanan daha yüksek istek kotalarıyla içerir. Bu kotalar kabaca her 5 saatte 12$, haftada 30$ ve ayda 60$ değerine eşdeğerdir (gerçek istek sayıları modele ve kullanıma göre değişir).",
+    "Ücretsiz modeller, günlük 200 istek kotası ile Big Pickle ve o sırada mevcut olan promosyonel modelleri içerir. Go ise Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro ve DeepSeek V4 Flash modellerini; yuvarlanan pencereler (5 saatlik, haftalık ve aylık) üzerinden uygulanan daha yüksek istek kotalarıyla içerir. Bu kotalar kabaca her 5 saatte 12$, haftada 30$ ve ayda 60$ değerine eşdeğerdir (gerçek istek sayıları modele ve kullanıma göre değişir).",
 
   "zen.api.error.rateLimitExceeded": "İstek limiti aşıldı. Lütfen daha sonra tekrar deneyin.",
   "zen.api.error.modelNotSupported": "{{model}} modeli desteklenmiyor",

packages/console/app/src/i18n/uk.ts

@@ -257,7 +257,7 @@ export const dict = {
   "go.title": "OpenCode Go | Недорогі моделі кодування для всіх",
   "go.banner.text": "Kimi K3 отримує 2x ліміти використання протягом обмеженого часу",
   "go.meta.description":
-    "Go починається від $5 за перший місяць, потім $10/місяць, зі щедрими 5-годинними лімітами запитів для Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash та Hy3.",
+    "Go починається від $5 за перший місяць, потім $10/місяць, зі щедрими 5-годинними лімітами запитів для Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro та DeepSeek V4 Flash.",
   "go.hero.title": "Недорогі моделі кодування для всіх",
   "go.hero.body":
     "Go надає агентне програмування програмістам у всьому світі, пропонуючи щедрі ліміти та надійний доступ до найкращих моделей з відкритим кодом.",
@@ -305,7 +305,7 @@ export const dict = {
   "go.problem.item2": "Щедрі ліміти та надійний доступ",
   "go.problem.item3": "Створено для якомога більшої кількості програмістів",
   "go.problem.item4":
-    "Включає Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash та Hy3",
+    "Включає Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro та DeepSeek V4 Flash",
   "go.how.title": "Як працює Go",
   "go.how.body":
     "Go починається від $5 за перший місяць, потім $10/місяць. Використовуйте з OpenCode або будь-яким агентом.",
@@ -331,7 +331,7 @@ export const dict = {
   "go.faq.a2": "Go включає моделі, перелічені нижче, із щедрими лімітами та надійним доступом.",
   "go.faq.q3": "Чи Go те саме, що Zen?",
   "go.faq.a3":
-    "Ні. Zen — це плата за використання, тоді як Go починається від $5 за перший місяць, потім $10/місяць, із щедрими лімітами та надійним доступом до моделей з відкритим кодом Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash та Hy3.",
+    "Ні. Zen — це плата за використання, тоді як Go починається від $5 за перший місяць, потім $10/місяць, із щедрими лімітами та надійним доступом до моделей з відкритим кодом Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro та DeepSeek V4 Flash.",
   "go.faq.q4": "Скільки коштує Go?",
   "go.faq.a4.p1.beforePricing": "Go коштує",
   "go.faq.a4.p1.pricingLink": "$5 за перший місяць",
@@ -354,7 +354,7 @@ export const dict = {
 
   "go.faq.q9": "Яка різниця між безкоштовними моделями та Go?",
   "go.faq.a9":
-    "Безкоштовні моделі включають Big Pickle та акційні моделі з лімітом 200 запитів/день. Go включає Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro, DeepSeek V4 Flash та Hy3 із вищими лімітами.",
+    "Безкоштовні моделі включають Big Pickle та акційні моделі з лімітом 200 запитів/день. Go включає Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code, Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7, MiniMax M3, DeepSeek V4 Pro та DeepSeek V4 Flash із вищими лімітами.",
 
   "zen.api.error.rateLimitExceeded": "Перевищено ліміт запитів. Спробуйте пізніше.",
   "zen.api.error.modelNotSupported": "Модель {{model}} не підтримується",

packages/console/app/src/i18n/zh.ts

@@ -246,7 +246,7 @@ export const dict = {
   "go.title": "OpenCode Go | 人人可用的低成本编程模型",
   "go.banner.text": "Kimi K3 限时享受 2 倍使用额度",
   "go.meta.description":
-    "Go 首月 $5，之后 $10/月，提供对 Grok 4.5、GLM-5.2、GLM-5.1、Kimi K3、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro、DeepSeek V4 Flash 和 Hy3 的 5 小时充裕请求额度。",
+    "Go 首月 $5，之后 $10/月，提供对 Grok 4.5、GLM-5.2、GLM-5.1、Kimi K3、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro 和 DeepSeek V4 Flash 的 5 小时充裕请求额度。",
   "go.hero.title": "人人可用的低成本编程模型",
   "go.hero.body":
     "Go 将代理编程带给全世界的程序员。提供充裕的限额和对最强大的开源模型的可靠访问，让您可以利用强大的代理进行构建，而无需担心成本或可用性。",
@@ -293,7 +293,7 @@ export const dict = {
   "go.problem.item2": "充裕的限额和可靠的访问",
   "go.problem.item3": "为尽可能多的程序员打造",
   "go.problem.item4":
-    "包含 Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code、Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro、DeepSeek V4 Flash 和 Hy3",
+    "包含 Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code、Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro 和 DeepSeek V4 Flash",
   "go.how.title": "Go 如何工作",
   "go.how.body": "Go 起价为首月 $5，之后 $10/月。您可以将其与 OpenCode 或任何代理搭配使用。",
   "go.how.step1.title": "创建账户",
@@ -315,7 +315,7 @@ export const dict = {
   "go.faq.a2": "Go 包含下方列出的模型，提供充足的限额和可靠的访问。",
   "go.faq.q3": "Go 和 Zen 一样吗？",
   "go.faq.a3":
-    "不。Zen 是按量付费，而 Go 首月 $5，之后 $10/月，提供充裕的额度，并可可靠地访问 Grok 4.5、GLM-5.2、GLM-5.1、Kimi K3、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro、DeepSeek V4 Flash 和 Hy3 等开源模型。",
+    "不。Zen 是按量付费，而 Go 首月 $5，之后 $10/月，提供充裕的额度，并可可靠地访问 Grok 4.5、GLM-5.2、GLM-5.1、Kimi K3、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro 和 DeepSeek V4 Flash 等开源模型。",
   "go.faq.q4": "Go 多少钱？",
   "go.faq.a4.p1.beforePricing": "Go 费用为",
   "go.faq.a4.p1.pricingLink": "首月 $5",
@@ -337,7 +337,7 @@ export const dict = {
 
   "go.faq.q9": "免费模型和 Go 之间的区别是什么？",
   "go.faq.a9":
-    "免费模型包含 Big Pickle 加上当时可用的促销模型，每天有 200 次请求的配额。Go 包含 Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code、Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro、DeepSeek V4 Flash 和 Hy3，并在滚动窗口（5 小时、每周和每月）内执行更高的请求配额，大致相当于每 5 小时 $12、每周 $30 和每月 $60（实际请求计数因模型和使用情况而异）。",
+    "免费模型包含 Big Pickle 加上当时可用的促销模型，每天有 200 次请求的配额。Go 包含 Grok 4.5, GLM-5.2, GLM-5.1, Kimi K3, Kimi K2.7 Code、Kimi K2.6, MiMo-V2.5-Pro, MiMo-V2.5, Qwen3.7 Max, Qwen3.7 Plus, Qwen3.6 Plus, MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro 和 DeepSeek V4 Flash，并在滚动窗口（5 小时、每周和每月）内执行更高的请求配额，大致相当于每 5 小时 $12、每周 $30 和每月 $60（实际请求计数因模型和使用情况而异）。",
 
   "zen.api.error.rateLimitExceeded": "超出速率限制。请稍后重试。",
   "zen.api.error.modelNotSupported": "不支持模型 {{model}}",

packages/console/app/src/i18n/zht.ts

@@ -246,7 +246,7 @@ export const dict = {
   "go.title": "OpenCode Go | 低成本全民編碼模型",
   "go.banner.text": "Kimi K3 限時享有 2 倍使用額度",
   "go.meta.description":
-    "Go 首月 $5，之後 $10/月，提供對 Grok 4.5、GLM-5.2、GLM-5.1、Kimi K3、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro、DeepSeek V4 Flash 和 Hy3 的 5 小時充裕請求額度。",
+    "Go 首月 $5，之後 $10/月，提供對 Grok 4.5、GLM-5.2、GLM-5.1、Kimi K3、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro 和 DeepSeek V4 Flash 的 5 小時充裕請求額度。",
   "go.hero.title": "低成本全民編碼模型",
   "go.hero.body":
     "Go 將代理編碼帶給全世界的程式設計師。提供寬裕的限額以及對最強大開源模型的穩定存取，讓你可以使用強大的代理進行構建，而無需擔心成本或可用性。",
@@ -293,7 +293,7 @@ export const dict = {
   "go.problem.item2": "寬裕的限額與穩定存取",
   "go.problem.item3": "專為盡可能多的程式設計師打造",
   "go.problem.item4":
-    "包含 Grok 4.5、GLM-5.2、GLM-5.1、Kimi K3、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro、DeepSeek V4 Flash 與 Hy3",
+    "包含 Grok 4.5、GLM-5.2、GLM-5.1、Kimi K3、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro 與 DeepSeek V4 Flash",
   "go.how.title": "Go 如何運作",
   "go.how.body": "Go 起價為首月 $5，之後 $10/月。您可以將其與 OpenCode 或任何代理搭配使用。",
   "go.how.step1.title": "建立帳號",
@@ -315,7 +315,7 @@ export const dict = {
   "go.faq.a2": "Go 包含下方列出的模型，提供充足的額度與穩定的存取。",
   "go.faq.q3": "Go 與 Zen 一樣嗎？",
   "go.faq.a3":
-    "不。Zen 是按量付費，而 Go 首月 $5，之後 $10/月，提供充裕的額度，並可可靠地存取 Grok 4.5、GLM-5.2、GLM-5.1、Kimi K3、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro、DeepSeek V4 Flash 和 Hy3 等開源模型。",
+    "不。Zen 是按量付費，而 Go 首月 $5，之後 $10/月，提供充裕的額度，並可可靠地存取 Grok 4.5、GLM-5.2、GLM-5.1、Kimi K3、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro 和 DeepSeek V4 Flash 等開源模型。",
   "go.faq.q4": "Go 費用是多少？",
   "go.faq.a4.p1.beforePricing": "Go 費用為",
   "go.faq.a4.p1.pricingLink": "首月 $5",
@@ -337,7 +337,7 @@ export const dict = {
 
   "go.faq.q9": "免費模型與 Go 有什麼區別？",
   "go.faq.a9":
-    "免費模型包括 Big Pickle 以及當時可用的促銷模型，配額為 200 次請求/天。Go 包括 Grok 4.5、GLM-5.2、GLM-5.1、Kimi K3、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro、DeepSeek V4 Flash 與 Hy3，並在滾動視窗（5 小時、每週和每月）內執行更高的請求配額，大約相當於每 5 小時 $12、每週 $30 和每月 $60（實際請求數因模型和使用情況而異）。",
+    "免費模型包括 Big Pickle 以及當時可用的促銷模型，配額為 200 次請求/天。Go 包括 Grok 4.5、GLM-5.2、GLM-5.1、Kimi K3、Kimi K2.7 Code、Kimi K2.6、MiMo-V2.5-Pro、MiMo-V2.5、Qwen3.7 Max、Qwen3.7 Plus、Qwen3.6 Plus、MiniMax M2.7、MiniMax M3、DeepSeek V4 Pro 與 DeepSeek V4 Flash，並在滾動視窗（5 小時、每週和每月）內執行更高的請求配額，大約相當於每 5 小時 $12、每週 $30 和每月 $60（實際請求數因模型和使用情況而異）。",
 
   "zen.api.error.rateLimitExceeded": "超出頻率限制。請稍後再試。",
   "zen.api.error.modelNotSupported": "不支援模型 {{model}}",

packages/console/app/src/routes/go/index.tsx

@@ -38,7 +38,6 @@ const models = [
   "MiniMax M2.7",
   "DeepSeek V4 Pro",
   "DeepSeek V4 Flash",
-  "Hy3",
 ]
 
 function LimitsGraph(props: { href: string }) {
@@ -73,7 +72,6 @@ function LimitsGraph(props: { href: string }) {
     { id: "mimo-v2.5-pro", name: "MiMo-V2.5-Pro", req: 3250, d: "240ms" },
     { id: "deepseek-v4-pro", name: "DeepSeek V4 Pro", req: 3450, d: "270ms" },
     { id: "qwen3.7-plus", name: "Qwen3.7 Plus", req: 4300, d: "300ms" },
-    { id: "hy3", name: "Hy3", req: 4300, d: "320ms" },
     { id: "mimo-v2.5", name: "MiMo-V2.5", req: 30100, d: "340ms" },
     { id: "deepseek-v4-flash", name: "DeepSeek V4 Flash", req: 31650, d: "340ms" },
   ]

packages/console/app/src/routes/workspace/[id]/go/lite-section.tsx

@@ -321,7 +321,6 @@ export function LiteSection(props: { lite: LiteSubscription | undefined }) {
             <li>DeepSeek V4 Flash</li>
             <li>MiMo-V2.5</li>
             <li>MiMo-V2.5-Pro</li>
-            <li>Hy3</li>
           </ul>
           <p data-slot="promo-description">{i18n.t("workspace.lite.promo.footer")}</p>
           <div data-slot="subscribe-actions">

packages/core/src/catalog.ts

@@ -116,7 +116,7 @@ const layer = Layer.effect(
                 draft.providers.set(providerID, record)
               }
               const model =
-                record.models.get(modelID) ?? (ModelV2.Info.default(providerID, modelID) as ModelV2.MutableInfo)
+                record.models.get(modelID) ?? (ModelV2.Info.empty(providerID, modelID) as ModelV2.MutableInfo)
               if (!record.models.has(modelID)) record.models.set(modelID, model)
               fn(model)
               model.id = modelID

packages/core/src/codemode.ts

@@ -1,6 +1,7 @@
 export * as CodeMode from "./codemode"
 
 import { Context, Effect, Layer, Scope } from "effect"
+import { CodeModeCatalog } from "./codemode/catalog"
 import { makeLocationNode } from "@opencode-ai/util/effect/app-node"
 import { PermissionV2 } from "./permission"
 import { ExecuteTool } from "./tool/execute"
@@ -10,7 +11,7 @@ import { Wildcard } from "./util/wildcard"
 
 export interface Materialization {
   readonly tool?: AnyTool
-  readonly instructions?: string
+  readonly catalog?: ReadonlyArray<CodeModeCatalog.Entry>
 }
 
 export interface Interface {
@@ -26,10 +27,7 @@ export class Service extends Context.Service<Service, Interface>()("@opencode/v2
 const layer = Layer.effect(
   Service,
   Effect.gen(function* () {
-    const local = new Map<
-      string,
-      Array<{ readonly token: object; readonly registration: ExecuteTool.Registration }>
-    >()
+    const local = new Map<string, Array<{ readonly token: object; readonly registration: ExecuteTool.Registration }>>()
 
     return Service.of({
       register: Effect.fn("CodeMode.register")(function* (tools, options) {
@@ -70,7 +68,7 @@ const layer = Layer.effect(
         if (executeRule?.resource === "*" && executeRule.effect === "deny") return {}
         return {
           tool: ExecuteTool.create(registrations),
-          instructions: ExecuteTool.instructions(registrations),
+          catalog: ExecuteTool.catalog(registrations),
         }
       }),
     })

packages/core/src/codemode/catalog.ts

@@ -0,0 +1,217 @@
+export * as CodeModeCatalog from "./catalog"
+
+import { CodeMode } from "@opencode-ai/codemode"
+import { Schema } from "effect"
+import { Instructions } from "../instructions/index"
+
+// Model-facing descriptor for one Code Mode tool. Codemode constructs paths and
+// signatures; this module owns every piece of agent-facing catalog prose.
+export const Entry = Schema.Struct({
+  path: Schema.String,
+  description: Schema.String,
+  signature: Schema.String,
+})
+export type Entry = typeof Entry.Type
+
+/** Approximate token budget (chars/4) for inlined full catalog entries. */
+export const defaultBudget = 2_000
+
+const estimateTokens = (input: string) => Math.max(0, Math.round(input.length / 4))
+
+const line = (tool: Entry) => {
+  const first = tool.description.split("\n", 1)[0]!.trim()
+  const description = first.length > 120 ? first.slice(0, 119) + "..." : first
+  return description === "" ? `  - ${tool.signature}` : `  - ${tool.signature} // ${description}`
+}
+
+type Plan = {
+  readonly ordered: ReadonlyArray<readonly [string, ReadonlyArray<Entry>]>
+  readonly shown: ReadonlyMap<string, ReadonlySet<Entry>>
+  readonly totalShown: number
+  readonly complete: boolean
+}
+
+// Budget signatures round-robin so every namespace remains visible.
+const plan = (entries: ReadonlyArray<Entry>, budget: number): Plan => {
+  const namespaces = new Map<string, Array<Entry>>()
+  for (const tool of entries) {
+    const [namespace = tool.path] = tool.path.split(".")
+    const group = namespaces.get(namespace) ?? []
+    group.push(tool)
+    namespaces.set(namespace, group)
+  }
+  const ordered = [...namespaces].sort(([left], [right]) => left.localeCompare(right))
+
+  const selections = ordered.map(([namespace, group]) => ({
+    namespace,
+    picked: new Set<Entry>(),
+    queue: [...group].sort(
+      (left, right) => estimateTokens(line(left)) - estimateTokens(line(right)) || left.path.localeCompare(right.path),
+    ),
+  }))
+  let used = 0
+  let active = selections.filter((selection) => selection.queue.length > 0)
+  while (active.length > 0) {
+    const stillActive: typeof active = []
+    for (const selection of active) {
+      const tool = selection.queue[0]!
+      const cost = estimateTokens(line(tool))
+      if (used + cost > budget) continue
+      selection.queue.shift()
+      selection.picked.add(tool)
+      used += cost
+      if (selection.queue.length > 0) stillActive.push(selection)
+    }
+    active = stillActive
+  }
+  const totalShown = selections.reduce((total, { picked }) => total + picked.size, 0)
+  return {
+    ordered,
+    shown: new Map(selections.map(({ namespace, picked }) => [namespace, picked])),
+    totalShown,
+    complete: totalShown === entries.length,
+  }
+}
+
+/** Renders the full agent-facing Code Mode instructions for one catalog snapshot. */
+export const render = (entries: ReadonlyArray<Entry>, budget = defaultBudget): string => {
+  const planned = plan(entries, budget)
+  const empty = entries.length === 0
+
+  const intro = [
+    empty
+      ? "This is a restricted JavaScript language for calling tools, not a general-purpose runtime."
+      : planned.complete
+        ? "This is a restricted JavaScript language for calling tools, not a general-purpose runtime. Inside the confined interpreter, `tools` contains the tools listed below; surrounding agent tools are not available."
+        : "This is a restricted JavaScript language for calling tools, not a general-purpose runtime. Inside the confined interpreter, `tools` contains the tools listed or searchable below; surrounding agent tools are not available.",
+    ...(empty
+      ? []
+      : ["Do not infer or normalize tool names; use only exact signatures shown below or returned by search."]),
+  ]
+
+  const workflow = empty
+    ? []
+    : [
+        "",
+        "## Workflow",
+        "",
+        ...(planned.complete
+          ? [
+              "1. Pick a tool from the list under `## Available tools` - each line is the exact call signature; use it as-is rather than guessing segments.",
+              "2. Call it using the exact signature shown: `const result = await tools.<namespace>.<tool>(input)`; bracket notation and quotes are part of the path.",
+              "3. Return only the fields you need from structured results; narrow unknown results before reading fields, and avoid returning large raw payloads.",
+            ]
+          : [
+              '1. If needed, discover tools with the built-in search function: `return search({ query: "<intent + key nouns>" })`.',
+              "2. In the next execution, copy a returned path exactly, call it, and return only the needed fields.",
+            ]),
+      ]
+
+  const rules = empty
+    ? []
+    : [
+        "",
+        "## Rules",
+        "",
+        planned.complete
+          ? "- Only tools listed here are available; surrounding agent tools are not implicitly exposed."
+          : "- Only tools listed here or returned by the built-in `search` function are available; surrounding agent tools are not implicitly exposed.",
+        "- Filter, aggregate, and transform collections in code - never return them raw or call a tool per item across messages.",
+        "- A result typed `Promise<unknown>` may be structured data or text. Before reading fields, check that it is a non-null object and not an array; otherwise handle the returned text or primitive directly.",
+        '- Run independent calls in parallel: `await Promise.all(items.map((item) => tools.<namespace>.<tool>(item)))`, or use `tools.<namespace>["tool-name"](item)` when the listed signature uses bracket notation.',
+        "- Execution ends when the program returns; pending promises are interrupted, so await every call whose completion matters.",
+        "- `Object.keys(tools)` lists namespaces; `Object.keys(tools.<namespace>)` lists its tools; `for...in` works on both.",
+        ...(planned.complete
+          ? []
+          : [
+              '- Browse one namespace: `search({ query: "", namespace: "<name>" })`.',
+              "- If search returns `next`, repeat the same search with `offset: next.offset`.",
+            ]),
+      ]
+
+  const language = [
+    "",
+    "## Language",
+    "",
+    "Use common JavaScript data operations, functions, control flow, selected standard-library methods, and awaited tool calls. Built-ins include Date, RegExp, Map, Set, URL, URLSearchParams, and URI encoding helpers.",
+    "Modules/imports, classes, timers, fetch, eval, prototype access, and unlisted methods are unavailable. Use tools for external operations. Use await with try/catch.",
+    "Prefer explicit `return`; otherwise only the final top-level expression becomes the result.",
+    "Dates and URLs serialize to strings at data boundaries; Map/Set/RegExp/URLSearchParams serialize to `{}`.",
+  ]
+
+  const toolSection: Array<string> = [""]
+  if (empty) {
+    toolSection.push("## Available tools", "", "No tools are currently available.")
+  } else {
+    toolSection.push(
+      planned.complete
+        ? "## Available tools (COMPLETE list - every tool is shown below with its full call signature)"
+        : `## Available tools (PARTIAL - ${planned.totalShown} of ${entries.length} shown; find the rest with search(...))`,
+      "",
+    )
+    for (const [namespace, group] of planned.ordered) {
+      const picked = planned.shown.get(namespace)!
+      const count = `${group.length} tool${group.length === 1 ? "" : "s"}`
+      const label =
+        picked.size === group.length
+          ? count
+          : picked.size === 0
+            ? `${count}, none shown`
+            : `${count}, ${picked.size} shown`
+      toolSection.push(`- ${namespace} (${label})`)
+      for (const tool of group) if (picked.has(tool)) toolSection.push(line(tool))
+    }
+    if (!planned.complete) {
+      toolSection.push("", "Search returns complete callable signatures:", `- ${CodeMode.searchSignature}`)
+    }
+  }
+
+  return [...intro, ...workflow, ...rules, ...language, ...toolSection].join("\n")
+}
+
+const replacement = (current: ReadonlyArray<Entry>, budget: number) =>
+  [
+    "The Code Mode tool catalog has changed. This catalog supersedes the previous Code Mode tool catalog.",
+    render(current, budget),
+  ].join("\n\n")
+
+/** Renders one mid-conversation catalog change as a semantic delta when it is smaller. */
+export const update = (
+  previous: ReadonlyArray<Entry>,
+  current: ReadonlyArray<Entry>,
+  budget = defaultBudget,
+): string => {
+  const diff = Instructions.diffByKey(
+    previous,
+    current,
+    (tool) => tool.path,
+    (before, after) => before.signature !== after.signature || before.description !== after.description,
+  )
+  const empty = diff.added.length === 0 && diff.removed.length === 0 && diff.changed.length === 0
+  // Crossing between full and compact rendering changes the surrounding guidance, so restate everything.
+  const crossed = plan(previous, budget).complete !== plan(current, budget).complete
+  if (empty || crossed) return replacement(current, budget)
+  const delta = [
+    "The Code Mode tool catalog has changed.",
+    ...(diff.added.length === 0
+      ? []
+      : [["New tools are available in addition to those previously listed:", ...diff.added.map(line)].join("\n")]),
+    ...(diff.changed.length === 0
+      ? []
+      : [
+          [
+            "Changed tool signatures supersede the previously listed ones:",
+            ...diff.changed.map((change) => line(change.current)),
+          ].join("\n"),
+        ]),
+    ...(diff.removed.length === 0
+      ? []
+      : [
+          `The following tools are no longer available and must not be called: ${diff.removed
+            .map((tool) => CodeMode.toolExpression(tool.path))
+            .join(", ")}.`,
+        ]),
+  ].join("\n\n")
+  const full = replacement(current, budget)
+  return delta.length < full.length ? delta : full
+}

packages/core/src/codemode/instructions.ts

@@ -4,6 +4,7 @@ import { Context, Effect, Layer, Schema } from "effect"
 import { makeLocationNode } from "@opencode-ai/util/effect/app-node"
 import { AgentV2 } from "../agent"
 import { CodeMode } from "../codemode"
+import { CodeModeCatalog } from "./catalog"
 import { Instructions } from "../instructions/index"
 
 export interface Interface {
@@ -19,22 +20,20 @@ const layer = Layer.effect(
 
     return Service.of({
       load: Effect.fn("CodeModeInstructions.load")(function* (selection) {
-        const instructions = selection.info
-          ? (yield* codeMode.materialize(selection.info.permissions)).instructions
-          : undefined
-        return Instructions.make({
+        const catalog = selection.info ? ((yield* codeMode.materialize(selection.info.permissions)).catalog ?? []) : []
+        // Code-unit sorting keeps the stored snapshot canonical so identical catalogs hash
+        // identically; localeCompare would let host ICU locale and version reorder the array.
+        const entries = catalog.toSorted((left, right) =>
+          left.path < right.path ? -1 : left.path > right.path ? 1 : 0,
+        )
+        return Instructions.make<ReadonlyArray<CodeModeCatalog.Entry>>({
           key: Instructions.Key.make("core/codemode"),
-          codec: Schema.toCodecJson(Schema.String),
-          read: Effect.succeed(instructions ?? Instructions.removed),
+          codec: Schema.toCodecJson(Schema.Array(CodeModeCatalog.Entry)),
+          read: Effect.succeed(entries.length === 0 ? Instructions.removed : entries),
           render: {
-            initial: (current) => current,
-            changed: (_previous, current) =>
-              [
-                "The Code Mode tool catalog has changed. This catalog supersedes the previous Code Mode tool catalog.",
-                current,
-              ].join("\n\n"),
-            removed: () =>
-              "Code Mode tools are no longer available. Do not use any previously listed Code Mode tools.",
+            initial: (current) => CodeModeCatalog.render(current),
+            changed: (previous, current) => CodeModeCatalog.update(previous, current),
+            removed: () => "Code Mode tools are no longer available. Do not use any previously listed Code Mode tools.",
           },
         })
       }),

packages/core/src/config/agent.ts

@@ -6,7 +6,10 @@ import { ConfigProvider } from "./provider"
 import { ConfigModel } from "./model"
 import { PositiveInt } from "../schema"
 
-export const Color = Schema.String.check(Schema.isPattern(/^#[0-9a-fA-F]{6}$/))
+export const Color = Schema.Union([
+  Schema.String.check(Schema.isPattern(/^#[0-9a-fA-F]{6}$/)),
+  Schema.Literals(["primary", "secondary", "accent", "success", "warning", "error", "info"]),
+])
 
 export class Info extends Schema.Class<Info>("ConfigV2.Agent")({
   model: ConfigModel.Selection.pipe(Schema.optional),

packages/core/src/generate.ts

@@ -2,10 +2,12 @@ export * as Generate from "./generate"
 
 import { LLM, LLMClient, LLMError } from "@opencode-ai/ai"
 import { Context, Effect, Layer, Schema } from "effect"
+import { Catalog } from "./catalog"
 import { makeLocationNode } from "@opencode-ai/util/effect/app-node"
 import { llmClient } from "./effect/app-node-platform"
-import { ModelResolver } from "./model-resolver"
+import { Integration } from "./integration"
 import { ModelV2 } from "./model"
+import { SessionRunnerModel } from "./session/runner/model"
 
 export interface TextInput {
   readonly prompt: string
@@ -17,10 +19,10 @@ export class ModelSelectionError extends Schema.TaggedErrorClass<ModelSelectionE
   { message: Schema.String },
 ) {}
 
-export class UnavailableError extends Schema.TaggedErrorClass<UnavailableError>()("Generate.UnavailableError", {
-  message: Schema.String,
-  service: Schema.optional(Schema.String),
-}) {}
+export class UnavailableError extends Schema.TaggedErrorClass<UnavailableError>()(
+  "Generate.UnavailableError",
+  { message: Schema.String, service: Schema.optional(Schema.String) },
+) {}
 
 export type Error = ModelSelectionError | UnavailableError
 
@@ -33,34 +35,56 @@ export class Service extends Context.Service<Service, Interface>()("@opencode/v2
 export const layer = Layer.effect(
   Service,
   Effect.gen(function* () {
+    const catalog = yield* Catalog.Service
+    const integrations = yield* Integration.Service
     const llm = yield* LLMClient.Service
-    const resolver = yield* ModelResolver.Service
 
-    const runText = Effect.fn("Generate.text")(function* (input: TextInput) {
-      const resolved = yield* resolver.resolve(input.model).pipe(
-        Effect.catchTags({
-          "SessionRunnerModel.VariantUnavailableError": (error) =>
-            input.model
-              ? new ModelSelectionError({ message: error.message })
-              : new UnavailableError({ message: error.message, service: error.providerID }),
-          "SessionRunnerModel.UnsupportedPackageError": (error) =>
-            input.model
-              ? new ModelSelectionError({ message: error.message })
-              : new UnavailableError({ message: error.message, service: error.providerID }),
-        }),
-      )
-      if (!resolved)
+    const selectModel = Effect.fn("Generate.selectModel")(function* (requested?: ModelV2.Ref) {
+      const selected = requested
+        ? yield* catalog.model.get(requested.providerID, requested.id)
+        : yield* catalog.model.default().pipe(
+            Effect.flatMap((model) =>
+              model && SessionRunnerModel.supported(model)
+                ? Effect.succeed(model)
+                : Effect.map(catalog.model.available(), (models) => models.find(SessionRunnerModel.supported)),
+            ),
+          )
+      if (!selected)
         return yield* new ModelSelectionError({
-          message: input.model
-            ? `Model unavailable: ${input.model.providerID}/${input.model.id}`
+          message: requested
+            ? `Model unavailable: ${requested.providerID}/${requested.id}`
             : "No model specified and no supported model is available",
         })
-      const response = yield* llm.generate(LLM.request({ model: resolved.model, prompt: input.prompt })).pipe(
+      return yield* SessionRunnerModel.withVariant(selected, requested?.variant).pipe(
+        Effect.mapError(
+          () =>
+            new ModelSelectionError({
+              message: `Variant unavailable for ${selected.providerID}/${selected.id}: ${requested?.variant}`,
+            }),
+        ),
+      )
+    })
+
+    const runText = Effect.fn("Generate.text")(function* (input: TextInput) {
+      const selected = yield* selectModel(input.model)
+      const provider = yield* catalog.provider.get(selected.providerID)
+      const connection = yield* integrations.connection.active(
+        provider?.integrationID ?? Integration.ID.make(selected.providerID),
+      )
+      const credential = connection ? yield* integrations.connection.resolve(connection) : undefined
+      const model = yield* SessionRunnerModel.fromCatalogModel(selected, credential).pipe(
+        Effect.mapError((error) =>
+          input.model
+            ? new ModelSelectionError({ message: error.message })
+            : new UnavailableError({ message: error.message, service: selected.providerID }),
+        ),
+      )
+      const response = yield* llm.generate(LLM.request({ model, prompt: input.prompt })).pipe(
         Effect.mapError(
           (error: LLMError) =>
             new UnavailableError({
               message: error.message,
-              service: resolved.ref.providerID,
+              service: selected.providerID,
             }),
         ),
       )
@@ -82,8 +106,4 @@ export const layer = Layer.effect(
   }),
 )
 
-export const node = makeLocationNode({
-  service: Service,
-  layer,
-  deps: [ModelResolver.node, llmClient],
-})
+export const node = makeLocationNode({ service: Service, layer, deps: [Catalog.node, Integration.node, llmClient] })

packages/core/src/github-copilot/models.ts

@@ -135,7 +135,7 @@ function build(id: ModelV2.ID, remote: UsableModel, baseURL: string, previous?:
   const released = previous?.time.released || Date.parse(version)
 
   return ModelV2.Info.make({
-    ...ModelV2.Info.default(ProviderV2.ID.githubCopilot, id),
+    ...ModelV2.Info.empty(ProviderV2.ID.githubCopilot, id),
     id,
     modelID: ModelV2.ID.make(remote.id),
     providerID: ProviderV2.ID.githubCopilot,

packages/core/src/location-services.ts

@@ -20,7 +20,6 @@ import { Integration } from "./integration"
 import { Location } from "./location"
 import { LocationMutation } from "./location-mutation"
 import { LocationServiceMap } from "./location-service-map"
-import { ModelResolver } from "./model-resolver"
 import { MCP } from "./mcp/index"
 import { PermissionV2 } from "./permission"
 import { PluginV2 } from "./plugin"
@@ -59,7 +58,6 @@ const locationServiceNodes = [
   Reference.node,
   Integration.node,
   Catalog.node,
-  ModelResolver.node,
   AISDK.node,
   PluginV2.node,
   PluginSupervisor.node,

packages/core/src/model-resolver.ts

@@ -1,344 +0,0 @@
-export * as ModelResolver from "./model-resolver"
-
-import { makeLocationNode } from "@opencode-ai/util/effect/app-node"
-import { Model } from "@opencode-ai/ai"
-// ast-grep-ignore: no-star-import
-import * as AnthropicMessages from "@opencode-ai/ai/protocols/anthropic-messages"
-// ast-grep-ignore: no-star-import
-import * as OpenAICompatibleChat from "@opencode-ai/ai/protocols/openai-compatible-chat"
-// ast-grep-ignore: no-star-import
-import * as OpenAIResponses from "@opencode-ai/ai/protocols/openai-responses"
-import { Auth, type AnyRoute } from "@opencode-ai/ai/route"
-import { Context, Effect, Layer, Schema } from "effect"
-import { produce } from "immer"
-import { AISDK } from "./aisdk"
-import { Catalog } from "./catalog"
-import { Credential } from "./credential"
-import { Integration } from "./integration"
-import { ModelV2 } from "./model"
-import { Npm } from "@opencode-ai/util/npm"
-import { OpenAICodex } from "./plugin/provider/openai-codex"
-import { ProviderV2 } from "./provider"
-
-export class VariantUnavailableError extends Schema.TaggedErrorClass<VariantUnavailableError>()(
-  "SessionRunnerModel.VariantUnavailableError",
-  {
-    providerID: ProviderV2.ID,
-    modelID: ModelV2.ID,
-    variant: ModelV2.VariantID,
-  },
-) {
-  override get message() {
-    return `Variant unavailable for ${this.providerID}/${this.modelID}: ${this.variant}`
-  }
-}
-
-export class UnsupportedPackageError extends Schema.TaggedErrorClass<UnsupportedPackageError>()(
-  "SessionRunnerModel.UnsupportedPackageError",
-  {
-    providerID: ProviderV2.ID,
-    modelID: ModelV2.ID,
-    package: Schema.String,
-  },
-) {
-  override get message() {
-    return `Unsupported package for ${this.providerID}/${this.modelID}: ${this.package}`
-  }
-}
-
-export type Error = VariantUnavailableError | UnsupportedPackageError | Integration.AuthorizationError
-
-export interface Resolved {
-  /** Route-level model for provider requests; its id is the provider API model id, which may differ from the catalog id. */
-  readonly model: Model
-  /** Selected catalog identity. Durable records and displays must use this, never the API model id. */
-  readonly ref: ModelV2.Ref
-  /** Catalog capabilities used to shape requests before provider lowering. */
-  readonly capabilities: ModelV2.Capabilities
-  /** Catalog pricing in dollars per million tokens. */
-  readonly cost: ModelV2.Info["cost"]
-}
-
-export interface Interface {
-  readonly resolve: (requested?: ModelV2.Ref) => Effect.Effect<Resolved | undefined, Error>
-  readonly resolveModel: (model: ModelV2.Info, variant?: ModelV2.VariantID) => Effect.Effect<Resolved, Error>
-}
-
-export class Service extends Context.Service<Service, Interface>()("@opencode/v2/ModelResolver") {}
-
-const apiKey = (model: ModelV2.Info, credential?: Credential.Value) => {
-  if (credential?.type === "key") return Auth.value(credential.key)
-  if (credential?.type === "oauth") return Auth.value(credential.access)
-  const value = model.settings?.apiKey
-  if (typeof value === "string") return Auth.value(value)
-  return undefined
-}
-
-const withDefaults = (model: ModelV2.Info, route: AnyRoute) =>
-  route.with({
-    provider: model.providerID,
-    endpoint: typeof model.settings?.baseURL === "string" ? { baseURL: model.settings.baseURL } : undefined,
-    headers: providerHeaders(model),
-    providerOptions: providerOptions(model),
-    http: model.body === undefined ? undefined : { body: model.body },
-    limits: { context: model.limit.context, output: model.limit.output },
-  })
-
-const providerHeaders = (model: ModelV2.Info) => {
-  const packageName = ProviderV2.packageName(model.package)
-  const generated = new Map<string, string>()
-  if (packageName === "@ai-sdk/openai" && typeof model.settings?.organization === "string")
-    generated.set("OpenAI-Organization", model.settings.organization)
-  if (packageName === "@ai-sdk/openai" && typeof model.settings?.project === "string")
-    generated.set("OpenAI-Project", model.settings.project)
-  if (packageName === "@ai-sdk/anthropic" && typeof model.settings?.authToken === "string")
-    generated.set("Authorization", `Bearer ${model.settings.authToken}`)
-  return ProviderV2.mergeHeaders(generated.size === 0 ? undefined : Object.fromEntries(generated), model.headers)
-}
-
-const providerOptions = (
-  model: ModelV2.Info,
-): { readonly [key: string]: { readonly [key: string]: unknown } } | undefined => {
-  if (!ProviderV2.isAISDK(model.package) || model.settings === undefined) return undefined
-  const { apiKey: _, baseURL: _baseURL, ...settings } = model.settings
-  if (Object.keys(settings).length === 0) return undefined
-  const packageName = ProviderV2.packageName(model.package)
-  if (packageName === "@ai-sdk/openai") return { openai: settings }
-  if (packageName === "@ai-sdk/anthropic") return { anthropic: settings }
-  if (packageName === "@ai-sdk/openai-compatible") return { openai: settings }
-  return undefined
-}
-
-export const withVariant = (
-  model: ModelV2.Info,
-  variantID: ModelV2.VariantID | undefined,
-): Effect.Effect<ModelV2.Info, VariantUnavailableError> => {
-  const id = variantID === "default" ? undefined : variantID
-  const variant = model.variants?.find((item) => item.id === id)
-  if (!variant && variantID !== undefined && variantID !== "default")
-    return Effect.fail(
-      new VariantUnavailableError({
-        providerID: model.providerID,
-        modelID: model.id,
-        variant: variantID,
-      }),
-    )
-  return Effect.succeed(
-    variant
-      ? produce(model, (draft) => {
-          draft.settings = ProviderV2.mergeOverlay(draft.settings, variant.settings)
-          draft.headers = ProviderV2.mergeHeaders(draft.headers, variant.headers)
-          draft.body = ProviderV2.mergeOverlay(draft.body, variant.body)
-        })
-      : model,
-  )
-}
-
-export interface Dependencies {
-  readonly loadPackage?: (specifier: string) => Effect.Effect<ProviderV2.ProviderPackage, ProviderV2.LoadError>
-  readonly loadAISDK?: (model: ModelV2.Info) => Effect.Effect<Model, AISDK.InitError>
-}
-
-export const fromCatalogModel = (
-  model: ModelV2.Info,
-  credential?: Credential.Value,
-  dependencies?: Dependencies,
-): Effect.Effect<Model, UnsupportedPackageError> => {
-  const resolved = produce(model, (draft) => {
-    if (draft.settings?.apiKey === "") delete draft.settings.apiKey
-    if (credential?.type === "key" && credential.metadata !== undefined)
-      draft.body = ProviderV2.mergeOverlay(draft.body, credential.metadata)
-  })
-  const packageName = ProviderV2.packageName(resolved.package)
-  const key = apiKey(resolved, credential)
-
-  if (OpenAICodex.isChatGPT(credential) && !ProviderV2.isAISDK(resolved.package) && isNativeOpenAI(resolved.package)) {
-    return Effect.succeed(codexModel(resolved, credential, key))
-  }
-
-  if (ProviderV2.isAISDK(resolved.package) && packageName === "@ai-sdk/openai") {
-    if (OpenAICodex.isChatGPT(credential)) return Effect.succeed(codexModel(resolved, credential, key))
-    return Effect.succeed(
-      withDefaults(resolved, OpenAIResponses.route)
-        .with({ auth: key === undefined ? Auth.none : Auth.bearer(key) })
-        .model({ id: resolved.modelID ?? resolved.id, compatibility: resolved.compatibility }),
-    )
-  }
-  if (ProviderV2.isAISDK(resolved.package) && packageName === "@ai-sdk/anthropic") {
-    return Effect.succeed(
-      withDefaults(resolved, AnthropicMessages.route)
-        .with({ auth: key === undefined ? Auth.none : Auth.header("x-api-key", key) })
-        .model({ id: resolved.modelID ?? resolved.id, compatibility: resolved.compatibility }),
-    )
-  }
-  if (
-    ProviderV2.isAISDK(resolved.package) &&
-    packageName === "@ai-sdk/openai-compatible" &&
-    typeof resolved.settings?.baseURL === "string"
-  ) {
-    return Effect.succeed(
-      withDefaults(resolved, OpenAICompatibleChat.route)
-        .with({ auth: key === undefined ? Auth.none : Auth.bearer(key) })
-        .model({ id: resolved.modelID ?? resolved.id, compatibility: resolved.compatibility }),
-    )
-  }
-  if (ProviderV2.isAISDK(resolved.package)) {
-    if (!dependencies?.loadAISDK) return Effect.fail(unsupported(resolved))
-    const runtime = produce(resolved, (draft) => {
-      draft.settings = ProviderV2.mergeOverlay(draft.settings, {
-        ...(credential?.type === "key" ? { apiKey: credential.key } : {}),
-        ...(credential?.type === "oauth" ? { apiKey: credential.access } : {}),
-        ...credential?.metadata,
-      })
-    })
-    return dependencies.loadAISDK(runtime).pipe(Effect.mapError(() => unsupported(resolved)))
-  }
-  if (!resolved.package) return Effect.fail(unsupported(resolved))
-
-  const specifier = resolved.package
-  return Effect.gen(function* () {
-    const module = yield* (dependencies?.loadPackage ?? ProviderV2.loadPackage)(specifier).pipe(
-      Effect.mapError(() => unsupported(resolved)),
-    )
-    const configured = { ...resolved.settings, ...credential?.metadata }
-    const settings = {
-      ...(credential ? withoutNativeAuthSettings(configured) : configured),
-      ...nativeCredentialSettings(specifier, credential),
-      headers: resolved.headers,
-      body: resolved.body,
-      limits: { context: resolved.limit.context, output: resolved.limit.output },
-    }
-    return yield* Effect.try({
-      try: () => {
-        const runtime = module.model(resolved.modelID ?? resolved.id, settings)
-        return Model.update(runtime, {
-          provider: resolved.providerID,
-          compatibility: resolved.compatibility
-            ? Object.assign({}, runtime.compatibility, resolved.compatibility)
-            : runtime.compatibility,
-        })
-      },
-      catch: () => unsupported(resolved),
-    })
-  })
-}
-
-const isNativeOpenAI = (packageName: string | undefined) =>
-  packageName === "@opencode-ai/ai/providers/openai" ||
-  packageName?.startsWith("@opencode-ai/ai/providers/openai/") === true
-
-const nativeCredentialSettings = (specifier: string, credential: Credential.Value | undefined) => {
-  if (!credential) return {}
-  if (credential.type === "key") return { apiKey: credential.key }
-  if (
-    specifier === "@opencode-ai/ai/providers/anthropic" ||
-    specifier === "@opencode-ai/ai/providers/anthropic-compatible"
-  )
-    return { authToken: credential.access }
-  if (
-    specifier === "@opencode-ai/ai/providers/google-vertex" ||
-    specifier.startsWith("@opencode-ai/ai/providers/google-vertex/")
-  )
-    return { accessToken: credential.access }
-  return { apiKey: credential.access }
-}
-
-const withoutNativeAuthSettings = (settings: Record<string, unknown>) => {
-  const { accessToken: _accessToken, apiKey: _apiKey, authToken: _authToken, ...rest } = settings
-  return rest
-}
-
-const codexModel = (
-  model: ModelV2.Info,
-  credential: Credential.Value | undefined,
-  key: ReturnType<typeof Auth.value> | undefined,
-) => {
-  const account = OpenAICodex.accountID(credential)
-  return withDefaults(model, OpenAIResponses.route)
-    .with({
-      endpoint: { baseURL: OpenAICodex.baseURL },
-      auth: (key === undefined ? Auth.none : Auth.bearer(key)).andThen(
-        account === undefined ? Auth.none : Auth.headers({ "chatgpt-account-id": account }),
-      ),
-    })
-    .model({ id: model.modelID ?? model.id, compatibility: model.compatibility })
-}
-
-const unsupported = (model: ModelV2.Info) =>
-  new UnsupportedPackageError({
-    providerID: model.providerID,
-    modelID: model.id,
-    package: model.package ?? "unknown",
-  })
-
-export const resolveModel = (
-  model: ModelV2.Info,
-  variant: ModelV2.VariantID | undefined,
-  credential?: Credential.Value,
-  dependencies?: Dependencies,
-) => withVariant(model, variant).pipe(Effect.flatMap((model) => fromCatalogModel(model, credential, dependencies)))
-
-export const supported = (model: ModelV2.Info) => Boolean(model.package)
-
-/** Resolves catalog selections into runtime models for the current Location. */
-export const layer = Layer.effect(
-  Service,
-  Effect.gen(function* () {
-    const catalog = yield* Catalog.Service
-    const integrations = yield* Integration.Service
-    const npm = yield* Npm.Service
-    const aisdk = yield* AISDK.Service
-    const load = Effect.fn("ModelResolver.resolveModel")(function* (
-      selected: ModelV2.Info,
-      variant?: ModelV2.VariantID,
-    ) {
-      const provider = yield* catalog.provider.get(selected.providerID)
-      const connection = yield* integrations.connection.active(
-        provider?.integrationID ?? Integration.ID.make(selected.providerID),
-      )
-      const model = yield* resolveModel(
-        selected,
-        variant,
-        connection ? yield* integrations.connection.resolve(connection) : undefined,
-        {
-          loadPackage: (specifier) => ProviderV2.loadPackage(specifier, npm),
-          loadAISDK: (model) => aisdk.model(model),
-        },
-      )
-      return {
-        model,
-        ref: ModelV2.Ref.make({
-          id: selected.id,
-          providerID: selected.providerID,
-          ...(variant === undefined ? {} : { variant }),
-        }),
-        capabilities: selected.capabilities,
-        cost: selected.cost,
-      }
-    })
-    return Service.of({
-      resolve: Effect.fn("ModelResolver.resolve")(function* (requested) {
-        const selected = requested
-          ? yield* catalog.model.get(requested.providerID, requested.id)
-          : yield* catalog.model
-              .default()
-              .pipe(
-                Effect.flatMap((model) =>
-                  model && supported(model)
-                    ? Effect.succeed(model)
-                    : Effect.map(catalog.model.available(), (models) => models.find(supported)),
-                ),
-              )
-        if (!selected) return undefined
-        return yield* load(selected, requested?.variant)
-      }),
-      resolveModel: load,
-    })
-  }),
-)
-
-export const node = makeLocationNode({
-  service: Service,
-  layer,
-  deps: [Catalog.node, Integration.node, Npm.node, AISDK.node],
-})

packages/core/src/plugin/provider/openai-codex.ts

@@ -1,7 +1,7 @@
 export * as OpenAICodex from "./openai-codex"
 
 // TEMPORARY SEAM (#34765): plugins have no hook into LLM route construction, so
-// Codex routing lives in ModelResolver and catalog filtering.
+// codex routing lives in SessionRunnerModel.fromCatalogModel and catalog filtering
 // in OpenAIPlugin, sharing this module. Once the native provider packages land
 // (#33689/#33925/#34462) this should collapse into the native OpenAI provider.
 // The eligibility rules mirror V1's CodexAuthPlugin allowlist; models.dev has no

packages/core/src/session/generate-node.ts

@@ -12,7 +12,6 @@ import { SessionGenerate } from "./generate"
 import { SessionHistory } from "./history"
 import { SessionModelHeaders } from "./model-headers"
 import { SessionRunnerModel } from "./runner/model"
-import { ToolRegistry } from "../tool/registry"
 import PROMPT_DEFAULT from "./runner/prompt/base.txt"
 import { toLLMMessages } from "./runner/to-llm-message"
 
@@ -24,7 +23,6 @@ export const layer = Layer.effect(
     const hooks = yield* PluginHooks.Service
     const llm = yield* LLMClient.Service
     const models = yield* SessionRunnerModel.Service
-    const registry = yield* ToolRegistry.Service
     const app = yield* App.Metadata
 
     return SessionGenerate.Service.of({
@@ -36,9 +34,6 @@ export const layer = Layer.effect(
         const promptCacheKey = /^ses_[0-9a-f]{64}$/.test(selection.session.id)
           ? selection.session.id.slice(4)
           : selection.session.id
-        const executableTools = yield* registry.materialize(selection.agent.info.permissions)
-        const toolDefinitions = executableTools.definitions
-        const toolsByName = new Map(toolDefinitions.map((tool) => [tool.name, tool]))
         const contextEvent = yield* hooks.trigger("session", "context", {
           sessionID: selection.session.id,
           agent: selection.agent.id,
@@ -51,34 +46,24 @@ export const layer = Layer.effect(
             ...(history.instructionUpdate ? [Message.system(history.instructionUpdate)] : []),
             Message.user(input.prompt),
           ],
-          tools: Object.fromEntries(
-            toolDefinitions.map((tool) => [tool.name, { description: tool.description, input: { ...tool.inputSchema } }]),
-          ),
-        })
-        const hookedTools = Object.entries(contextEvent.tools).flatMap(([name, tool]) => {
-          const registered = toolsByName.get(name)
-          return registered
-            ? [Object.assign({}, registered, { description: tool.description, inputSchema: tool.input })]
-            : []
+          tools: {},
         })
         yield* Effect.logInfo("sending session generation request", {
           sessionID: selection.session.id,
           providerID: model.ref.providerID,
           modelID: model.ref.id,
         })
-        const response = yield* llm.generate(
+        return (yield* llm.generate(
           LLM.request({
             model: model.model,
             http: { headers: SessionModelHeaders.make(selection.session, app) },
             providerOptions: { openai: { promptCacheKey } },
             system: contextEvent.system,
             messages: contextEvent.messages,
-            tools: hookedTools,
+            tools: [],
             toolChoice: "none",
           }),
-        )
-        yield* Effect.logInfo("session generation usage diagnostic", { usage: response.usage })
-        return response.text
+        )).text
       }),
     })
   }),
@@ -87,13 +72,5 @@ export const layer = Layer.effect(
 export const node = makeLocationNode({
   service: SessionGenerate.Service,
   layer,
-  deps: [
-    SessionContext.node,
-    Database.node,
-    PluginHooks.node,
-    SessionRunnerModel.node,
-    ToolRegistry.node,
-    App.node,
-    llmClient,
-  ],
+  deps: [SessionContext.node, Database.node, PluginHooks.node, SessionRunnerModel.node, App.node, llmClient],
 })

packages/core/src/session/runner/model.ts

@@ -2,16 +2,30 @@ export * as SessionRunnerModel from "./model"
 
 import { makeLocationNode } from "@opencode-ai/util/effect/app-node"
 import { Model } from "@opencode-ai/ai"
+// ast-grep-ignore: no-star-import
+import * as AnthropicMessages from "@opencode-ai/ai/protocols/anthropic-messages"
+// ast-grep-ignore: no-star-import
+import * as OpenAICompatibleChat from "@opencode-ai/ai/protocols/openai-compatible-chat"
+// ast-grep-ignore: no-star-import
+import * as OpenAIResponses from "@opencode-ai/ai/protocols/openai-responses"
+import { Auth, type AnyRoute } from "@opencode-ai/ai/route"
 import { Context, Effect, Layer, Schema } from "effect"
+import { produce } from "immer"
+import { AISDK } from "../../aisdk"
 import { Catalog } from "../../catalog"
-import { ModelResolver } from "../../model-resolver"
+import { Credential } from "../../credential"
+import { Integration } from "../../integration"
 import { ModelV2 } from "../../model"
+import { Npm } from "@opencode-ai/util/npm"
+import { OpenAICodex } from "../../plugin/provider/openai-codex"
 import { ProviderV2 } from "../../provider"
 import { SessionSchema } from "../schema"
 
 export class ModelNotSelectedError extends Schema.TaggedErrorClass<ModelNotSelectedError>()(
   "SessionRunnerModel.ModelNotSelectedError",
-  { sessionID: SessionSchema.ID },
+  {
+    sessionID: SessionSchema.ID,
+  },
 ) {
   override get message() {
     return `No model is available for session ${this.sessionID}`
@@ -20,19 +34,59 @@ export class ModelNotSelectedError extends Schema.TaggedErrorClass<ModelNotSelec
 
 export class ModelUnavailableError extends Schema.TaggedErrorClass<ModelUnavailableError>()(
   "SessionRunnerModel.ModelUnavailableError",
-  { providerID: ProviderV2.ID, modelID: ModelV2.ID },
+  {
+    providerID: ProviderV2.ID,
+    modelID: ModelV2.ID,
+  },
 ) {
   override get message() {
     return `Model unavailable: ${this.providerID}/${this.modelID}`
   }
 }
-export const VariantUnavailableError = ModelResolver.VariantUnavailableError
-export type VariantUnavailableError = ModelResolver.VariantUnavailableError
-export const UnsupportedPackageError = ModelResolver.UnsupportedPackageError
-export type UnsupportedPackageError = ModelResolver.UnsupportedPackageError
 
-export type Error = ModelNotSelectedError | ModelUnavailableError | ModelResolver.Error
-export type Resolved = ModelResolver.Resolved
+export class VariantUnavailableError extends Schema.TaggedErrorClass<VariantUnavailableError>()(
+  "SessionRunnerModel.VariantUnavailableError",
+  {
+    providerID: ProviderV2.ID,
+    modelID: ModelV2.ID,
+    variant: ModelV2.VariantID,
+  },
+) {
+  override get message() {
+    return `Variant unavailable for ${this.providerID}/${this.modelID}: ${this.variant}`
+  }
+}
+
+export class UnsupportedPackageError extends Schema.TaggedErrorClass<UnsupportedPackageError>()(
+  "SessionRunnerModel.UnsupportedPackageError",
+  {
+    providerID: ProviderV2.ID,
+    modelID: ModelV2.ID,
+    package: Schema.String,
+  },
+) {
+  override get message() {
+    return `Unsupported package for ${this.providerID}/${this.modelID}: ${this.package}`
+  }
+}
+
+export type Error =
+  | ModelNotSelectedError
+  | ModelUnavailableError
+  | VariantUnavailableError
+  | UnsupportedPackageError
+  | Integration.AuthorizationError
+
+export interface Resolved {
+  /** Route-level model for provider requests; its id is the provider API model id, which may differ from the catalog id. */
+  readonly model: Model
+  /** Selected catalog identity. Durable records and displays must use this, never the API model id. */
+  readonly ref: ModelV2.Ref
+  /** Catalog capabilities used to shape requests before provider lowering. */
+  readonly capabilities: ModelV2.Capabilities
+  /** Catalog pricing in dollars per million tokens. */
+  readonly cost: ModelV2.Info["cost"]
+}
 
 export interface Interface {
   readonly resolve: (session: SessionSchema.Info) => Effect.Effect<Resolved, Error>
@@ -40,6 +94,9 @@ export interface Interface {
 
 export class Service extends Context.Service<Service, Interface>()("@opencode/v2/SessionRunnerModel") {}
 
+/** Test or embedding seam for supplying a model resolver directly. */
+export const layerWith = (resolve: Interface["resolve"]) => Layer.succeed(Service, Service.of({ resolve }))
+
 /** Builds a Resolved whose catalog identity mirrors the route model. Test or embedding seam. */
 export const resolved = (
   model: Model,
@@ -59,31 +116,276 @@ export const resolved = (
   cost: options.cost,
 })
 
+const apiKey = (model: ModelV2.Info, credential?: Credential.Value) => {
+  if (credential?.type === "key") return Auth.value(credential.key)
+  if (credential?.type === "oauth") return Auth.value(credential.access)
+  const value = model.settings?.apiKey
+  if (typeof value === "string") return Auth.value(value)
+}
+
+const withDefaults = (model: ModelV2.Info, route: AnyRoute) =>
+  route.with({
+    provider: model.providerID,
+    endpoint: typeof model.settings?.baseURL === "string" ? { baseURL: model.settings.baseURL } : undefined,
+    headers: providerHeaders(model),
+    providerOptions: providerOptions(model),
+    http: model.body === undefined ? undefined : { body: model.body },
+    limits: { context: model.limit.context, output: model.limit.output },
+  })
+
+const providerHeaders = (model: ModelV2.Info) => {
+  const packageName = ProviderV2.packageName(model.package)
+  const generated = new Map<string, string>()
+  if (packageName === "@ai-sdk/openai" && typeof model.settings?.organization === "string")
+    generated.set("OpenAI-Organization", model.settings.organization)
+  if (packageName === "@ai-sdk/openai" && typeof model.settings?.project === "string")
+    generated.set("OpenAI-Project", model.settings.project)
+  if (packageName === "@ai-sdk/anthropic" && typeof model.settings?.authToken === "string")
+    generated.set("Authorization", `Bearer ${model.settings.authToken}`)
+  return ProviderV2.mergeHeaders(generated.size === 0 ? undefined : Object.fromEntries(generated), model.headers)
+}
+
+const providerOptions = (
+  model: ModelV2.Info,
+): { readonly [key: string]: { readonly [key: string]: unknown } } | undefined => {
+  if (!ProviderV2.isAISDK(model.package) || model.settings === undefined) return undefined
+  const { apiKey: _, baseURL: _baseURL, ...settings } = model.settings
+  if (Object.keys(settings).length === 0) return undefined
+  const packageName = ProviderV2.packageName(model.package)
+  if (packageName === "@ai-sdk/openai") return { openai: settings }
+  if (packageName === "@ai-sdk/anthropic") return { anthropic: settings }
+  if (packageName === "@ai-sdk/openai-compatible") return { openai: settings }
+}
+
+export const withVariant = (
+  model: ModelV2.Info,
+  variantID: ModelV2.VariantID | undefined,
+): Effect.Effect<ModelV2.Info, VariantUnavailableError> => {
+  const id = variantID === "default" ? undefined : variantID
+  const variant = model.variants?.find((item) => item.id === id)
+  if (!variant && variantID !== undefined && variantID !== "default")
+    return Effect.fail(
+      new VariantUnavailableError({
+        providerID: model.providerID,
+        modelID: model.id,
+        variant: variantID,
+      }),
+    )
+  return Effect.succeed(
+    variant
+      ? produce(model, (draft) => {
+          draft.settings = ProviderV2.mergeOverlay(draft.settings, variant.settings)
+          draft.headers = ProviderV2.mergeHeaders(draft.headers, variant.headers)
+          draft.body = ProviderV2.mergeOverlay(draft.body, variant.body)
+        })
+      : model,
+  )
+}
+
+export interface Dependencies {
+  readonly loadPackage?: (specifier: string) => Effect.Effect<ProviderV2.ProviderPackage, ProviderV2.LoadError>
+  readonly loadAISDK?: (model: ModelV2.Info) => Effect.Effect<Model, AISDK.InitError>
+}
+
+export const fromCatalogModel = (
+  model: ModelV2.Info,
+  credential?: Credential.Value,
+  dependencies: Dependencies = {},
+): Effect.Effect<Model, UnsupportedPackageError> => {
+  const resolved = produce(model, (draft) => {
+    if (draft.settings?.apiKey === "") delete draft.settings.apiKey
+    if (credential?.type === "key" && credential.metadata !== undefined)
+      draft.body = ProviderV2.mergeOverlay(draft.body, credential.metadata)
+  })
+  const packageName = ProviderV2.packageName(resolved.package)
+  const key = apiKey(resolved, credential)
+
+  if (OpenAICodex.isChatGPT(credential) && !ProviderV2.isAISDK(resolved.package) && isNativeOpenAI(resolved.package)) {
+    return Effect.succeed(codexModel(resolved, credential, key))
+  }
+
+  if (ProviderV2.isAISDK(resolved.package) && packageName === "@ai-sdk/openai") {
+    if (OpenAICodex.isChatGPT(credential)) return Effect.succeed(codexModel(resolved, credential, key))
+    return Effect.succeed(
+      withDefaults(resolved, OpenAIResponses.route)
+        .with({ auth: key === undefined ? Auth.none : Auth.bearer(key) })
+        .model({ id: resolved.modelID ?? resolved.id, compatibility: resolved.compatibility }),
+    )
+  }
+  if (ProviderV2.isAISDK(resolved.package) && packageName === "@ai-sdk/anthropic") {
+    return Effect.succeed(
+      withDefaults(resolved, AnthropicMessages.route)
+        .with({ auth: key === undefined ? Auth.none : Auth.header("x-api-key", key) })
+        .model({ id: resolved.modelID ?? resolved.id, compatibility: resolved.compatibility }),
+    )
+  }
+  if (
+    ProviderV2.isAISDK(resolved.package) &&
+    packageName === "@ai-sdk/openai-compatible" &&
+    typeof resolved.settings?.baseURL === "string"
+  ) {
+    return Effect.succeed(
+      withDefaults(resolved, OpenAICompatibleChat.route)
+        .with({ auth: key === undefined ? Auth.none : Auth.bearer(key) })
+        .model({ id: resolved.modelID ?? resolved.id, compatibility: resolved.compatibility }),
+    )
+  }
+  if (ProviderV2.isAISDK(resolved.package)) {
+    if (!dependencies.loadAISDK) return Effect.fail(unsupported(resolved))
+    const runtime = produce(resolved, (draft) => {
+      draft.settings = ProviderV2.mergeOverlay(draft.settings, {
+        ...(credential?.type === "key" ? { apiKey: credential.key } : {}),
+        ...(credential?.type === "oauth" ? { apiKey: credential.access } : {}),
+        ...credential?.metadata,
+      })
+    })
+    return dependencies.loadAISDK(runtime).pipe(Effect.mapError(() => unsupported(resolved)))
+  }
+  if (!resolved.package) return Effect.fail(unsupported(resolved))
+
+  const specifier = resolved.package
+  return Effect.gen(function* () {
+    const module = yield* (dependencies.loadPackage ?? ProviderV2.loadPackage)(specifier).pipe(
+      Effect.mapError(() => unsupported(resolved)),
+    )
+    const configured = { ...resolved.settings, ...credential?.metadata }
+    const settings = {
+      ...(credential ? withoutNativeAuthSettings(configured) : configured),
+      ...nativeCredentialSettings(specifier, credential),
+      headers: resolved.headers,
+      body: resolved.body,
+      limits: { context: resolved.limit.context, output: resolved.limit.output },
+    }
+    return yield* Effect.try({
+      try: () => {
+        const runtime = module.model(resolved.modelID ?? resolved.id, settings)
+        return Model.update(runtime, {
+          provider: resolved.providerID,
+          compatibility: resolved.compatibility
+            ? { ...runtime.compatibility, ...resolved.compatibility }
+            : runtime.compatibility,
+        })
+      },
+      catch: () => unsupported(resolved),
+    })
+  })
+}
+
+const isNativeOpenAI = (packageName: string | undefined) =>
+  packageName === "@opencode-ai/ai/providers/openai" ||
+  packageName?.startsWith("@opencode-ai/ai/providers/openai/") === true
+
+const nativeCredentialSettings = (specifier: string, credential: Credential.Value | undefined) => {
+  if (!credential) return {}
+  if (credential.type === "key") return { apiKey: credential.key }
+  if (
+    specifier === "@opencode-ai/ai/providers/anthropic" ||
+    specifier === "@opencode-ai/ai/providers/anthropic-compatible"
+  )
+    return { authToken: credential.access }
+  if (
+    specifier === "@opencode-ai/ai/providers/google-vertex" ||
+    specifier.startsWith("@opencode-ai/ai/providers/google-vertex/")
+  )
+    return { accessToken: credential.access }
+  return { apiKey: credential.access }
+}
+
+const withoutNativeAuthSettings = (settings: Record<string, unknown>) => {
+  const { accessToken: _accessToken, apiKey: _apiKey, authToken: _authToken, ...rest } = settings
+  return rest
+}
+
+const codexModel = (
+  model: ModelV2.Info,
+  credential: Credential.Value | undefined,
+  key: ReturnType<typeof Auth.value> | undefined,
+) => {
+  const account = OpenAICodex.accountID(credential)
+  return withDefaults(model, OpenAIResponses.route)
+    .with({
+      endpoint: { baseURL: OpenAICodex.baseURL },
+      auth: (key === undefined ? Auth.none : Auth.bearer(key)).andThen(
+        account === undefined ? Auth.none : Auth.headers({ "chatgpt-account-id": account }),
+      ),
+    })
+    .model({ id: model.modelID ?? model.id, compatibility: model.compatibility })
+}
+
+const unsupported = (model: ModelV2.Info) =>
+  new UnsupportedPackageError({
+    providerID: model.providerID,
+    modelID: model.id,
+    package: model.package ?? "unknown",
+  })
+
+export const resolve = (
+  session: SessionSchema.Info,
+  model: ModelV2.Info,
+  credential?: Credential.Value,
+  dependencies?: Dependencies,
+) =>
+  withVariant(model, session.model?.variant).pipe(
+    Effect.flatMap((model) => fromCatalogModel(model, credential, dependencies)),
+  )
+
+export const supported = (model: ModelV2.Info) => Boolean(model.package)
+
+/** Resolves models from the catalog belonging to the current Location runtime. */
 const layer = Layer.effect(
   Service,
   Effect.gen(function* () {
     const catalog = yield* Catalog.Service
-    const resolver = yield* ModelResolver.Service
+    const integrations = yield* Integration.Service
+    const npm = yield* Npm.Service
+    const aisdk = yield* AISDK.Service
     return Service.of({
       resolve: Effect.fn("SessionRunnerModel.resolve")(function* (session) {
         // Location plugins populate and filter the catalog asynchronously during layer startup.
-        if (!session.model) {
-          const resolved = yield* resolver.resolve()
-          if (resolved) return resolved
-          return yield* new ModelNotSelectedError({ sessionID: session.id })
-        }
-        const selected = (yield* catalog.model.available()).find(
-          (model) => model.providerID === session.model?.providerID && model.id === session.model.id,
-        )
-        if (!selected)
+        const defaultModel = session.model ? undefined : yield* catalog.model.default()
+        const selected = session.model
+          ? (yield* catalog.model.available()).find(
+              (model) => model.providerID === session.model?.providerID && model.id === session.model.id,
+            )
+          : defaultModel && supported(defaultModel)
+            ? defaultModel
+            : (yield* catalog.model.available()).find(supported)
+        if (!selected && session.model)
           return yield* new ModelUnavailableError({
             providerID: session.model.providerID,
             modelID: session.model.id,
           })
-        return yield* resolver.resolveModel(selected, session.model.variant)
+        if (!selected) return yield* new ModelNotSelectedError({ sessionID: session.id })
+        const provider = yield* catalog.provider.get(selected.providerID)
+        const connection = yield* integrations.connection.active(
+          provider?.integrationID ?? Integration.ID.make(selected.providerID),
+        )
+        const model = yield* resolve(
+          session,
+          selected,
+          connection ? yield* integrations.connection.resolve(connection) : undefined,
+          {
+            loadPackage: (specifier) => ProviderV2.loadPackage(specifier, npm),
+            loadAISDK: (model) => aisdk.model(model),
+          },
+        )
+        return {
+          model,
+          ref: ModelV2.Ref.make({
+            id: selected.id,
+            providerID: selected.providerID,
+            ...(session.model?.variant === undefined ? {} : { variant: session.model.variant }),
+          }),
+          capabilities: selected.capabilities,
+          cost: selected.cost,
+        }
       }),
     })
   }),
 )
 
-export const node = makeLocationNode({ service: Service, layer, deps: [Catalog.node, ModelResolver.node] })
+export const node = makeLocationNode({
+  service: Service,
+  layer,
+  deps: [Catalog.node, Integration.node, Npm.node, AISDK.node],
+})

packages/core/src/tool/execute.ts

@@ -131,8 +131,8 @@ export const create = (registrations: ReadonlyMap<string, Registration>) => {
   })
 }
 
-export const instructions = (registrations: ReadonlyMap<string, Registration>) => {
-  return runtime(registrations, () => Effect.fail(toolError("Execute context is unavailable"))).instructions()
+export const catalog = (registrations: ReadonlyMap<string, Registration>) => {
+  return runtime(registrations, () => Effect.fail(toolError("Execute context is unavailable"))).catalog()
 }
 
 function runtime(
@@ -143,7 +143,8 @@ function runtime(
   const tools: Record<string, Tool.Definition<never>> = {}
   for (const [name, registration] of registrations) {
     const child = definition(name, registration.tool)
-    const path = registration.namespace === undefined ? registration.name : `${registration.namespace}.${registration.name}`
+    const path =
+      registration.namespace === undefined ? registration.name : `${registration.namespace}.${registration.name}`
     tools[path] = Tool.make({
       description: child.description,
       input: child.inputSchema,

packages/core/src/tool/glob.ts

@@ -8,7 +8,7 @@ import { FileSystem } from "../filesystem"
 import { FSUtil } from "@opencode-ai/util/fs-util"
 import { Location } from "../location"
 import { Ripgrep } from "../ripgrep"
-import { NonNegativeInt, RelativePath } from "../schema"
+import { RelativePath } from "../schema"
 import { PermissionV2 } from "../permission"
 import { Tool } from "./tool"
 
@@ -25,9 +25,6 @@ export const Input = Schema.Struct({
 })
 
 export const Output = Schema.Array(FileSystem.Entry)
-const StructuredOutput = Schema.Struct({
-  count: NonNegativeInt,
-})
 type ModelOutput = typeof Output.Encoded
 
 /** Format raw search results into the concise line-oriented output models expect. */
@@ -54,8 +51,6 @@ export const Plugin = {
               "Find files by glob pattern within the active Location. Returns concise relative file resources. Use a relative path to narrow the search and limit to bound the result count.",
             input: Input,
             output: Output,
-            structured: StructuredOutput,
-            toStructuredOutput: ({ output }) => ({ count: output.length }),
             toModelOutput: ({ output }) => [
               {
                 type: "text",

packages/core/src/tool/grep.ts

@@ -9,7 +9,7 @@ import { FSUtil } from "@opencode-ai/util/fs-util"
 import { Location } from "../location"
 import { PermissionV2 } from "../permission"
 import { Ripgrep } from "../ripgrep"
-import { NonNegativeInt, RelativePath } from "../schema"
+import { RelativePath } from "../schema"
 import { Tool } from "./tool"
 
 export const name = "grep"
@@ -30,9 +30,6 @@ export const Input = Schema.Struct({
 })
 
 export const Output = Schema.Array(FileSystem.Match)
-const StructuredOutput = Schema.Struct({
-  matches: NonNegativeInt,
-})
 type ModelOutput = typeof Output.Encoded
 
 /** Format raw search matches into the familiar concise model output. */
@@ -68,8 +65,6 @@ export const Plugin = {
               "Search file contents by regular expression within the active Location or an absolute managed tool-output file. Use a path to narrow the search, include to filter files by glob, and limit to bound the match count. Returns concise file resources, line numbers, and bounded line previews.",
             input: Input,
             output: Output,
-            structured: StructuredOutput,
-            toStructuredOutput: ({ output }) => ({ matches: output.length }),
             toModelOutput: ({ output }) => [
               {
                 type: "text",

packages/core/src/tool/skill.ts

@@ -21,10 +21,6 @@ export const Output = Schema.Struct({
   directory: Schema.String,
   output: Schema.String,
 })
-const StructuredOutput = Schema.Struct({
-  name: Output.fields.name,
-  directory: Output.fields.directory,
-})
 
 export const description = [
   "Load a specialized skill when the task at hand matches one of the available skills in the instructions.",
@@ -70,8 +66,6 @@ export const Plugin = {
             description,
             input: Input,
             output: Output,
-            structured: StructuredOutput,
-            toStructuredOutput: ({ output }) => ({ name: output.name, directory: output.directory }),
             toModelOutput: ({ output }) => [{ type: "text", text: output.output }],
             execute: (input, context) =>
               Effect.gen(function* () {

packages/core/src/tool/subagent.ts

@@ -31,10 +31,6 @@ export const Output = Schema.Struct({
   status: Schema.Literals(["completed", "running"]),
   output: Schema.String,
 })
-const StructuredOutput = Schema.Struct({
-  sessionID: Output.fields.sessionID,
-  status: Output.fields.status,
-})
 
 export const description = [
   "Spawn a subagent: a child session running a configured agent with fresh context.",
@@ -119,8 +115,6 @@ export const Plugin = {
             description,
             input: Input,
             output: Output,
-            structured: StructuredOutput,
-            toStructuredOutput: ({ output }) => ({ sessionID: output.sessionID, status: output.status }),
             toModelOutput: ({ output }) => [{ type: "text", text: output.output }],
             execute: (input, context) =>
               Effect.gen(function* () {

packages/core/src/tool/webfetch.ts

@@ -37,9 +37,6 @@ const Output = Schema.Struct({
   format: Input.fields.format,
   output: Schema.String,
 })
-const StructuredOutput = Schema.Struct({
-  contentType: Output.fields.contentType,
-})
 
 type Format = (typeof Input.Type)["format"]
 
@@ -129,8 +126,6 @@ export const Plugin = {
             description,
             input: Input,
             output: Output,
-            structured: StructuredOutput,
-            toStructuredOutput: ({ output }) => ({ contentType: output.contentType }),
             toModelOutput: ({ output }) => [{ type: "text", text: output.output }],
             execute: (input, context) =>
               Effect.gen(function* () {

packages/core/src/tool/websearch.ts

@@ -190,9 +190,6 @@ const Output = Schema.Struct({
   provider: Provider,
   text: Schema.String,
 })
-const StructuredOutput = Schema.Struct({
-  provider: Output.fields.provider,
-})
 
 export const Plugin = {
   id: "opencode.tool.websearch",
@@ -209,8 +206,6 @@ export const Plugin = {
             description,
             input: Input,
             output: Output,
-            structured: StructuredOutput,
-            toStructuredOutput: ({ output }) => ({ provider: output.provider }),
             toModelOutput: ({ output }) => [{ type: "text", text: output.text }],
             execute: (input, context) => {
               const provider = selectProvider(context.sessionID, config, config.provider)

packages/core/src/v1/config/migrate.ts

@@ -161,7 +161,7 @@ export function migrateAgent(info: ConfigAgentV1.Info) {
     description: info.description,
     mode: info.mode,
     hidden: info.hidden,
-    color: info.color === undefined ? undefined : info.color.startsWith("#") ? info.color : "#aaaaaa",
+    color: info.color,
     steps: info.steps,
     disabled: info.disable,
     permissions: permissions(info.permission),

packages/core/test/aisdk.test.ts

@@ -12,7 +12,7 @@ const it = testEffect(AISDK.locationLayer)
 
 const model = (packageName: string, settings: Record<string, unknown> = {}) =>
   ModelV2.Info.make({
-    ...ModelV2.Info.default(ProviderV2.ID.make("test-provider"), ModelV2.ID.make("catalog-model")),
+    ...ModelV2.Info.empty(ProviderV2.ID.make("test-provider"), ModelV2.ID.make("catalog-model")),
     modelID: ModelV2.ID.make("api-model"),
     package: ProviderV2.aisdk(packageName),
     settings,

packages/core/test/codemode.test.ts

@@ -20,8 +20,13 @@ describe("CodeMode", () => {
 
       const materialized = yield* codeMode.materialize()
       expect(materialized.tool).toBeDefined()
-      expect(materialized.instructions).toContain("Echo text")
-      expect(materialized.instructions).toContain("tools.echo(input:")
+      expect(materialized.catalog).toStrictEqual([
+        {
+          path: "echo",
+          description: "Echo text",
+          signature: "tools.echo(input: {\n  text: string,\n}): Promise<string>",
+        },
+      ])
     }).pipe(Effect.scoped, Effect.provide(AppNodeBuilder.build(CodeMode.node))),
   )
 })

packages/core/test/codemode/catalog.test.ts

@@ -0,0 +1,152 @@
+import { describe, expect, test } from "bun:test"
+import { CodeModeCatalog } from "@opencode-ai/core/codemode/catalog"
+
+const entry = (path: string, description: string, signature?: string): CodeModeCatalog.Entry => ({
+  path,
+  description,
+  signature: signature ?? `tools.${path}(input: {\n  q: string,\n}): Promise<string>`,
+})
+
+const lookup = entry(
+  "orders.lookup",
+  "Look up an order by ID",
+  "tools.orders.lookup(input: {\n  id: string,\n}): Promise<{\n  id: string,\n  status: string,\n}>",
+)
+
+describe("CodeModeCatalog.render", () => {
+  test("inlines complete catalogs with markdown sections and placeholder-only call forms", () => {
+    const instructions = CodeModeCatalog.render([lookup])
+    expect(instructions).toContain("## Available tools (COMPLETE list")
+    expect(instructions).toContain("- orders (1 tool)")
+    expect(instructions).toContain(`  - ${lookup.signature} // Look up an order by ID`)
+    // A fully inlined catalog does not advertise search in the instructions.
+    expect(instructions).not.toContain("search(")
+
+    // Sections in order: workflow at the top, catalog at the bottom.
+    expect(instructions).toContain("## Workflow")
+    expect(instructions).toContain("## Rules")
+    expect(instructions).toContain("## Language")
+    expect(instructions.indexOf("## Workflow")).toBeLessThan(instructions.indexOf("## Rules"))
+    expect(instructions.indexOf("## Rules")).toBeLessThan(instructions.indexOf("## Language"))
+    expect(instructions.indexOf("## Language")).toBeLessThan(instructions.indexOf("\n## Available tools (COMPLETE"))
+    expect(instructions).toContain("Do not infer or normalize tool names")
+    expect(instructions).toContain("bracket notation and quotes are part of the path")
+    expect(instructions).toContain("surrounding agent tools are not available")
+    expect(instructions).toContain("Only tools listed here are available")
+    // Placeholders use generic namespace/tool/field names only - no real catalog tools
+    // cherry-picked into example lines.
+    expect(instructions).toContain("`const result = await tools.<namespace>.<tool>(input)`")
+    expect(instructions).toContain("check that it is a non-null object and not an array")
+    expect(instructions).not.toContain("tools.orders.lookup({")
+    expect(instructions).toContain("1. Pick a tool from the list under `## Available tools`")
+    expect(instructions).not.toContain("Browse one namespace")
+  })
+
+  test("describes the restricted runtime without overclaiming", () => {
+    const instructions = CodeModeCatalog.render([lookup])
+    expect(instructions).toContain("restricted JavaScript language for calling tools")
+    expect(instructions).toContain("not a general-purpose runtime")
+    for (const missing of ["Modules/imports", "classes", "fetch"]) {
+      expect(instructions).toContain(missing)
+    }
+    // Generators are supported by the interpreter and must not be listed as unavailable.
+    expect(instructions).not.toContain("generators")
+    expect(instructions).toContain("URL, URLSearchParams, and URI encoding helpers")
+    expect(instructions).toContain("Use tools for external operations")
+    expect(instructions).toContain(
+      "Prefer explicit `return`; otherwise only the final top-level expression becomes the result.",
+    )
+    expect(instructions).toContain(
+      "Dates and URLs serialize to strings at data boundaries; Map/Set/RegExp/URLSearchParams serialize to `{}`.",
+    )
+  })
+
+  test("switches to search-first guidance when the catalog exceeds the budget", () => {
+    const partial = CodeModeCatalog.render([lookup], 0)
+    expect(partial).toContain("## Available tools (PARTIAL - 0 of 1 shown; find the rest with search(...))")
+    expect(partial).toContain("- orders (1 tool, none shown)")
+    expect(partial).toContain(
+      '1. If needed, discover tools with the built-in search function: `return search({ query: "<intent + key nouns>" })`.',
+    )
+    expect(partial).toContain("In the next execution, copy a returned path exactly")
+    expect(partial).toContain("Only tools listed here or returned by the built-in `search` function")
+    expect(partial).toContain('- Browse one namespace: `search({ query: "", namespace: "<name>" })`.')
+    expect(partial).toContain("repeat the same search with `offset: next.offset`")
+    // The search signature is codemode-generated and stays complete and callable.
+    expect(partial).toContain("Search returns complete callable signatures:\n- search(input: {")
+    expect(partial).toContain("  limit?: number,\n  offset?: number,")
+    expect(partial).not.toContain("tools.orders.lookup(input:")
+  })
+
+  test("budgets signatures round-robin so every namespace remains visible", () => {
+    const cheapAlpha = entry("alpha.cheap", "Cheap")
+    const cheapBeta = entry("beta.cheap", "Cheap")
+    const expensive = entry(
+      "alpha.expensive",
+      "Expensive",
+      `tools.alpha.expensive(input: {\n  aVeryLongParameterName: string,\n  anotherEvenLongerParameterName: number,\n  yetAnotherExtremelyVerboseParameterName: string,\n}): Promise<string>`,
+    )
+    // Round 1 places alpha.cheap and beta.cheap; in round 2 alpha.expensive does not fit,
+    // which marks only alpha done - it must NOT prevent other namespaces from inlining.
+    const instructions = CodeModeCatalog.render([cheapAlpha, expensive, cheapBeta], 40)
+    expect(instructions).toContain("## Available tools (PARTIAL - 2 of 3 shown; find the rest with search(...))")
+    expect(instructions).toContain("- alpha (2 tools, 1 shown)")
+    expect(instructions).toContain(`  - ${cheapAlpha.signature} // Cheap`)
+    expect(instructions).not.toContain("tools.alpha.expensive(")
+    // Fully shown namespaces read cleanly (no "shown" annotation).
+    expect(instructions).toContain("- beta (1 tool)")
+    expect(instructions).toContain(`  - ${cheapBeta.signature} // Cheap`)
+  })
+
+  test("renders the no-tools notice with minimal sections for an empty catalog", () => {
+    const instructions = CodeModeCatalog.render([])
+    expect(instructions).toContain("No tools are currently available.")
+    expect(instructions).toContain("## Language")
+    expect(instructions).toContain("## Available tools")
+    expect(instructions).not.toContain("## Workflow")
+    expect(instructions).not.toContain("## Rules")
+    expect(instructions).not.toContain("search(")
+  })
+})
+
+describe("CodeModeCatalog.update", () => {
+  const echo = entry("notes.echo", "Echo text")
+
+  test("renders additions, changes, and removals as a compact semantic delta", () => {
+    const changed = { ...echo, signature: "tools.notes.echo(input: {\n  text: string,\n}): Promise<string>" }
+    const added = entry("notes.list", "List notes")
+    const text = CodeModeCatalog.update([echo, lookup], [changed, added])
+    expect(text).toContain("The Code Mode tool catalog has changed.")
+    expect(text).toContain(`New tools are available in addition to those previously listed:\n  - ${added.signature}`)
+    expect(text).toContain(
+      `Changed tool signatures supersede the previously listed ones:\n  - ${changed.signature} // Echo text`,
+    )
+    expect(text).toContain("The following tools are no longer available and must not be called: tools.orders.lookup.")
+    expect(text).not.toContain("## Available tools")
+  })
+
+  test("names removed tools with exact callable expressions including bracket notation", () => {
+    const dashed = entry("context7.resolve-library-id", "Resolve a library ID")
+    const text = CodeModeCatalog.update([echo, dashed], [echo])
+    expect(text).toContain(
+      'The following tools are no longer available and must not be called: tools.context7["resolve-library-id"].',
+    )
+  })
+
+  test("restates the full catalog when the rendering mode crosses full and compact", () => {
+    const wide = Array.from({ length: 40 }, (_, index) => entry(`bulk.tool${index}`, `Tool ${index}`))
+    const text = CodeModeCatalog.update([echo], [echo, ...wide], 30)
+    expect(text).toContain(
+      "The Code Mode tool catalog has changed. This catalog supersedes the previous Code Mode tool catalog.",
+    )
+    expect(text).toContain("## Available tools (PARTIAL")
+  })
+
+  test("falls back to full replacement when the delta is larger than the catalog", () => {
+    const previous = Array.from({ length: 200 }, (_, index) => entry(`bulk.tool${index}`, `Tool ${index}`))
+    const text = CodeModeCatalog.update([...previous, echo], [echo])
+    expect(text).toContain("This catalog supersedes the previous Code Mode tool catalog.")
+    expect(text).toContain("## Available tools (COMPLETE list")
+    expect(text).not.toContain("must not be called")
+  })
+})

packages/core/test/codemode/instructions.test.ts

@@ -1,6 +1,7 @@
 import { describe, expect } from "bun:test"
 import { AgentV2 } from "@opencode-ai/core/agent"
 import { CodeMode } from "@opencode-ai/core/codemode"
+import { CodeModeCatalog } from "@opencode-ai/core/codemode/catalog"
 import { CodeModeInstructions } from "@opencode-ai/core/codemode/instructions"
 import { AppNodeBuilder } from "@opencode-ai/core/effect/app-node-builder"
 import { Effect, Layer } from "effect"
@@ -9,14 +10,26 @@ import { readInitial, readUpdate } from "../lib/instructions"
 
 const agent = AgentV2.Info.make(AgentV2.Info.empty(AgentV2.ID.make("build")))
 
+const echo = {
+  path: "notes.echo",
+  description: "Echo text",
+  signature: "tools.notes.echo(input: {\n  text: string,\n}): Promise<string>",
+}
+
+const lookup = {
+  path: "orders.lookup",
+  description: "Look up an order",
+  signature: "tools.orders.lookup(input: {\n  id: string,\n}): Promise<unknown>",
+}
+
 describe("CodeModeInstructions", () => {
-  it.effect("renders catalog changes and removal", () => {
-    let catalog: string | undefined = "Initial Code Mode catalog"
+  it.effect("renders the initial catalog, semantic deltas, and removal", () => {
+    let catalog: ReadonlyArray<CodeModeCatalog.Entry> | undefined = [echo]
     const layer = AppNodeBuilder.build(CodeModeInstructions.node, [
       [
         CodeMode.node,
         Layer.mock(CodeMode.Service, {
-          materialize: () => Effect.succeed({ ...(catalog === undefined ? {} : { instructions: catalog }) }),
+          materialize: () => Effect.succeed({ ...(catalog === undefined ? {} : { catalog }) }),
           register: () => Effect.void,
         }),
       ],
@@ -25,16 +38,28 @@ describe("CodeModeInstructions", () => {
     return Effect.gen(function* () {
       const instructions = yield* CodeModeInstructions.Service
       const initialized = yield* instructions.load({ id: agent.id, info: agent }).pipe(Effect.flatMap(readInitial))
-      expect(initialized.text).toBe("Initial Code Mode catalog")
+      expect(initialized.text).toContain("## Available tools (COMPLETE list")
+      expect(initialized.text).toContain(`  - ${echo.signature} // Echo text`)
 
-      catalog = "Updated Code Mode catalog"
-      expect(
-        yield* instructions
-          .load({ id: agent.id, info: agent })
-          .pipe(Effect.flatMap((context) => readUpdate(context, initialized))),
-      ).toMatchObject({
-        text: "The Code Mode tool catalog has changed. This catalog supersedes the previous Code Mode tool catalog.\n\nUpdated Code Mode catalog",
-      })
+      // A new tool renders as a small addition delta, not a full catalog restatement.
+      catalog = [echo, lookup]
+      const added = yield* instructions
+        .load({ id: agent.id, info: agent })
+        .pipe(Effect.flatMap((context) => readUpdate(context, initialized)))
+      expect(added.text).toContain("The Code Mode tool catalog has changed.")
+      expect(added.text).toContain("New tools are available in addition to those previously listed:")
+      expect(added.text).toContain(`  - ${lookup.signature} // Look up an order`)
+      expect(added.text).not.toContain("## Available tools")
+
+      // Losing a tool (permission or agent change) renders as a removal delta.
+      catalog = [echo]
+      const removed = yield* instructions
+        .load({ id: agent.id, info: agent })
+        .pipe(Effect.flatMap((context) => readUpdate(context, { values: added.values })))
+      expect(removed.text).toBe(
+        "The Code Mode tool catalog has changed.\n\n" +
+          "The following tools are no longer available and must not be called: tools.orders.lookup.",
+      )
 
       catalog = undefined
       expect(
@@ -46,4 +71,28 @@ describe("CodeModeInstructions", () => {
       })
     }).pipe(Effect.provide(layer))
   })
+
+  it.effect("stores a canonical sorted snapshot so registration order does not churn history", () => {
+    let catalog: ReadonlyArray<CodeModeCatalog.Entry> = [lookup, echo]
+    const layer = AppNodeBuilder.build(CodeModeInstructions.node, [
+      [
+        CodeMode.node,
+        Layer.mock(CodeMode.Service, {
+          materialize: () => Effect.succeed({ catalog }),
+          register: () => Effect.void,
+        }),
+      ],
+    ])
+
+    return Effect.gen(function* () {
+      const instructions = yield* CodeModeInstructions.Service
+      const initialized = yield* instructions.load({ id: agent.id, info: agent }).pipe(Effect.flatMap(readInitial))
+
+      catalog = [echo, lookup]
+      const update = yield* instructions
+        .load({ id: agent.id, info: agent })
+        .pipe(Effect.flatMap((context) => readUpdate(context, initialized)))
+      expect(update.changed).toBe(false)
+    }).pipe(Effect.provide(layer))
+  })
 })