chore: generate

packages/opencode/src/provider/sdk/copilot/chat/convert-to-openai-compatible-chat-messages.ts

@@ -2,64 +2,57 @@ import {
   type LanguageModelV2Prompt,
   type SharedV2ProviderMetadata,
   UnsupportedFunctionalityError,
-} from '@ai-sdk/provider';
-import type { OpenAICompatibleChatPrompt } from './openai-compatible-api-types';
-import { convertToBase64 } from '@ai-sdk/provider-utils';
-
-function getOpenAIMetadata(message: {
-  providerOptions?: SharedV2ProviderMetadata;
-}) {
-  return message?.providerOptions?.copilot ?? {};
+} from "@ai-sdk/provider"
+import type { OpenAICompatibleChatPrompt } from "./openai-compatible-api-types"
+import { convertToBase64 } from "@ai-sdk/provider-utils"
+
+function getOpenAIMetadata(message: { providerOptions?: SharedV2ProviderMetadata }) {
+  return message?.providerOptions?.copilot ?? {}
 }
 
-export function convertToOpenAICompatibleChatMessages(
-  prompt: LanguageModelV2Prompt,
-): OpenAICompatibleChatPrompt {
-  const messages: OpenAICompatibleChatPrompt = [];
+export function convertToOpenAICompatibleChatMessages(prompt: LanguageModelV2Prompt): OpenAICompatibleChatPrompt {
+  const messages: OpenAICompatibleChatPrompt = []
   for (const { role, content, ...message } of prompt) {
-    const metadata = getOpenAIMetadata({ ...message });
+    const metadata = getOpenAIMetadata({ ...message })
     switch (role) {
-      case 'system': {
+      case "system": {
         messages.push({
-          role: 'system',
+          role: "system",
           content: [
             {
-              type: 'text',
+              type: "text",
               text: content,
             },
           ],
           ...metadata,
-        });
-        break;
+        })
+        break
       }
 
-      case 'user': {
-        if (content.length === 1 && content[0].type === 'text') {
+      case "user": {
+        if (content.length === 1 && content[0].type === "text") {
           messages.push({
-            role: 'user',
+            role: "user",
             content: content[0].text,
             ...getOpenAIMetadata(content[0]),
-          });
-          break;
+          })
+          break
         }
 
         messages.push({
-          role: 'user',
-          content: content.map(part => {
-            const partMetadata = getOpenAIMetadata(part);
+          role: "user",
+          content: content.map((part) => {
+            const partMetadata = getOpenAIMetadata(part)
             switch (part.type) {
-              case 'text': {
-                return { type: 'text', text: part.text, ...partMetadata };
+              case "text": {
+                return { type: "text", text: part.text, ...partMetadata }
               }
-              case 'file': {
-                if (part.mediaType.startsWith('image/')) {
-                  const mediaType =
-                    part.mediaType === 'image/*'
-                      ? 'image/jpeg'
-                      : part.mediaType;
+              case "file": {
+                if (part.mediaType.startsWith("image/")) {
+                  const mediaType = part.mediaType === "image/*" ? "image/jpeg" : part.mediaType
 
                   return {
-                    type: 'image_url',
+                    type: "image_url",
                     image_url: {
                       url:
                         part.data instanceof URL
@@ -67,111 +60,110 @@ export function convertToOpenAICompatibleChatMessages(
                           : `data:${mediaType};base64,${convertToBase64(part.data)}`,
                     },
                     ...partMetadata,
-                  };
+                  }
                 } else {
                   throw new UnsupportedFunctionalityError({
                     functionality: `file part media type ${part.mediaType}`,
-                  });
+                  })
                 }
               }
             }
           }),
           ...metadata,
-        });
+        })
 
-        break;
+        break
       }
 
-      case 'assistant': {
-        let text = '';
-        let reasoningText: string | undefined;
-        let reasoningOpaque: string | undefined;
+      case "assistant": {
+        let text = ""
+        let reasoningText: string | undefined
+        let reasoningOpaque: string | undefined
         const toolCalls: Array<{
-          id: string;
-          type: 'function';
-          function: { name: string; arguments: string };
-        }> = [];
+          id: string
+          type: "function"
+          function: { name: string; arguments: string }
+        }> = []
 
         for (const part of content) {
-          const partMetadata = getOpenAIMetadata(part);
+          const partMetadata = getOpenAIMetadata(part)
           // Check for reasoningOpaque on any part (may be attached to text/tool-call)
-          const partOpaque = (
-            part.providerOptions as { copilot?: { reasoningOpaque?: string } }
-          )?.copilot?.reasoningOpaque;
+          const partOpaque = (part.providerOptions as { copilot?: { reasoningOpaque?: string } })?.copilot
+            ?.reasoningOpaque
           if (partOpaque && !reasoningOpaque) {
-            reasoningOpaque = partOpaque;
+            reasoningOpaque = partOpaque
           }
 
           switch (part.type) {
-            case 'text': {
-              text += part.text;
-              break;
+            case "text": {
+              text += part.text
+              break
             }
-            case 'reasoning': {
-              reasoningText = part.text;
-              break;
+            case "reasoning": {
+              reasoningText = part.text
+              break
             }
-            case 'tool-call': {
+            case "tool-call": {
               toolCalls.push({
                 id: part.toolCallId,
-                type: 'function',
+                type: "function",
                 function: {
                   name: part.toolName,
                   arguments: JSON.stringify(part.input),
                 },
                 ...partMetadata,
-              });
-              break;
+              })
+              break
             }
           }
         }
 
         messages.push({
-          role: 'assistant',
+          role: "assistant",
           content: text || null,
           tool_calls: toolCalls.length > 0 ? toolCalls : undefined,
           reasoning_text: reasoningText,
           reasoning_opaque: reasoningOpaque,
           ...metadata,
-        });
+        })
 
-        break;
+        break
       }
 
-      case 'tool': {
+      case "tool": {
         for (const toolResponse of content) {
-          const output = toolResponse.output;
+          const output = toolResponse.output
 
-          let contentValue: string;
+          let contentValue: string
           switch (output.type) {
-            case 'text':
-            case 'error-text':
-              contentValue = output.value;
-              break;
-            case 'content':
-            case 'json':
-            case 'error-json':
-              contentValue = JSON.stringify(output.value);
-              break;
+            case "text":
+            case "error-text":
+              contentValue = output.value
+              break
+            case "content":
+            case "json":
+            case "error-json":
+              contentValue = JSON.stringify(output.value)
+              break
           }
 
-          const toolResponseMetadata = getOpenAIMetadata(toolResponse);
+          const toolResponseMetadata = getOpenAIMetadata(toolResponse)
           messages.push({
-            role: 'tool',
+            role: "tool",
             tool_call_id: toolResponse.toolCallId,
             content: contentValue,
             ...toolResponseMetadata,
-          });
+          })
         }
-        break;
+        break
       }
 
       default: {
-        const _exhaustiveCheck: never = role;
-        throw new Error(`Unsupported role: ${_exhaustiveCheck}`);
+        const _exhaustiveCheck: never = role
+        throw new Error(`Unsupported role: ${_exhaustiveCheck}`)
       }
     }
   }
 
-  return messages;
+  return messages
 }

packages/opencode/src/provider/sdk/copilot/chat/get-response-metadata.ts

@@ -3,13 +3,13 @@ export function getResponseMetadata({
   model,
   created,
 }: {
-  id?: string | undefined | null;
-  created?: number | undefined | null;
-  model?: string | undefined | null;
+  id?: string | undefined | null
+  created?: number | undefined | null
+  model?: string | undefined | null
 }) {
   return {
     id: id ?? undefined,
     modelId: model ?? undefined,
     timestamp: created != null ? new Date(created * 1000) : undefined,
-  };
+  }
 }

packages/opencode/src/provider/sdk/copilot/chat/map-openai-compatible-finish-reason.ts

@@ -1,19 +1,17 @@
-import type { LanguageModelV2FinishReason } from '@ai-sdk/provider';
+import type { LanguageModelV2FinishReason } from "@ai-sdk/provider"
 
-export function mapOpenAICompatibleFinishReason(
-  finishReason: string | null | undefined,
-): LanguageModelV2FinishReason {
+export function mapOpenAICompatibleFinishReason(finishReason: string | null | undefined): LanguageModelV2FinishReason {
   switch (finishReason) {
-    case 'stop':
-      return 'stop';
-    case 'length':
-      return 'length';
-    case 'content_filter':
-      return 'content-filter';
-    case 'function_call':
-    case 'tool_calls':
-      return 'tool-calls';
+    case "stop":
+      return "stop"
+    case "length":
+      return "length"
+    case "content_filter":
+      return "content-filter"
+    case "function_call":
+    case "tool_calls":
+      return "tool-calls"
     default:
-      return 'unknown';
+      return "unknown"
   }
 }

packages/opencode/src/provider/sdk/copilot/chat/openai-compatible-api-types.ts

@@ -1,74 +1,64 @@
-import type { JSONValue } from '@ai-sdk/provider';
+import type { JSONValue } from "@ai-sdk/provider"
 
-export type OpenAICompatibleChatPrompt = Array<OpenAICompatibleMessage>;
+export type OpenAICompatibleChatPrompt = Array<OpenAICompatibleMessage>
 
 export type OpenAICompatibleMessage =
   | OpenAICompatibleSystemMessage
   | OpenAICompatibleUserMessage
   | OpenAICompatibleAssistantMessage
-  | OpenAICompatibleToolMessage;
+  | OpenAICompatibleToolMessage
 
 // Allow for arbitrary additional properties for general purpose
 // provider-metadata-specific extensibility.
-type JsonRecord<T = never> = Record<
-  string,
-  JSONValue | JSONValue[] | T | T[] | undefined
->;
+type JsonRecord<T = never> = Record<string, JSONValue | JSONValue[] | T | T[] | undefined>
 
-export interface OpenAICompatibleSystemMessage
-  extends JsonRecord<OpenAICompatibleSystemContentPart> {
-  role: 'system';
-  content: string | Array<OpenAICompatibleSystemContentPart>;
+export interface OpenAICompatibleSystemMessage extends JsonRecord<OpenAICompatibleSystemContentPart> {
+  role: "system"
+  content: string | Array<OpenAICompatibleSystemContentPart>
 }
 
-export interface OpenAICompatibleSystemContentPart
-  extends JsonRecord {
-  type: 'text';
-  text: string;
+export interface OpenAICompatibleSystemContentPart extends JsonRecord {
+  type: "text"
+  text: string
 }
 
-export interface OpenAICompatibleUserMessage
-  extends JsonRecord<OpenAICompatibleContentPart> {
-  role: 'user';
-  content: string | Array<OpenAICompatibleContentPart>;
+export interface OpenAICompatibleUserMessage extends JsonRecord<OpenAICompatibleContentPart> {
+  role: "user"
+  content: string | Array<OpenAICompatibleContentPart>
 }
 
-export type OpenAICompatibleContentPart =
-  | OpenAICompatibleContentPartText
-  | OpenAICompatibleContentPartImage;
+export type OpenAICompatibleContentPart = OpenAICompatibleContentPartText | OpenAICompatibleContentPartImage
 
 export interface OpenAICompatibleContentPartImage extends JsonRecord {
-  type: 'image_url';
-  image_url: { url: string };
+  type: "image_url"
+  image_url: { url: string }
 }
 
 export interface OpenAICompatibleContentPartText extends JsonRecord {
-  type: 'text';
-  text: string;
+  type: "text"
+  text: string
 }
 
-export interface OpenAICompatibleAssistantMessage
-  extends JsonRecord<OpenAICompatibleMessageToolCall> {
-  role: 'assistant';
-  content?: string | null;
-  tool_calls?: Array<OpenAICompatibleMessageToolCall>;
+export interface OpenAICompatibleAssistantMessage extends JsonRecord<OpenAICompatibleMessageToolCall> {
+  role: "assistant"
+  content?: string | null
+  tool_calls?: Array<OpenAICompatibleMessageToolCall>
   // Copilot-specific reasoning fields
-  reasoning_text?: string;
-  reasoning_opaque?: string;
+  reasoning_text?: string
+  reasoning_opaque?: string
 }
 
 export interface OpenAICompatibleMessageToolCall extends JsonRecord {
-  type: 'function';
-  id: string;
+  type: "function"
+  id: string
   function: {
-    arguments: string;
-    name: string;
-  };
+    arguments: string
+    name: string
+  }
 }
 
-export interface OpenAICompatibleToolMessage
-  extends JsonRecord {
-  role: 'tool';
-  content: string;
-  tool_call_id: string;
+export interface OpenAICompatibleToolMessage extends JsonRecord {
+  role: "tool"
+  content: string
+  tool_call_id: string
 }

packages/opencode/src/provider/sdk/copilot/chat/openai-compatible-chat-language-model.ts

@@ -7,7 +7,7 @@ import {
   type LanguageModelV2FinishReason,
   type LanguageModelV2StreamPart,
   type SharedV2ProviderMetadata,
-} from '@ai-sdk/provider';
+} from "@ai-sdk/provider"
 import {
   combineHeaders,
   createEventSourceResponseHandler,
@@ -20,80 +20,68 @@ import {
   type ParseResult,
   postJsonToApi,
   type ResponseHandler,
-} from '@ai-sdk/provider-utils';
-import { z } from 'zod/v4';
-import { convertToOpenAICompatibleChatMessages } from './convert-to-openai-compatible-chat-messages';
-import { getResponseMetadata } from './get-response-metadata';
-import { mapOpenAICompatibleFinishReason } from './map-openai-compatible-finish-reason';
-import {
-  type OpenAICompatibleChatModelId,
-  openaiCompatibleProviderOptions,
-} from './openai-compatible-chat-options';
-import {
-  defaultOpenAICompatibleErrorStructure,
-  type ProviderErrorStructure,
-} from '../openai-compatible-error';
-import type { MetadataExtractor } from './openai-compatible-metadata-extractor';
-import { prepareTools } from './openai-compatible-prepare-tools';
+} from "@ai-sdk/provider-utils"
+import { z } from "zod/v4"
+import { convertToOpenAICompatibleChatMessages } from "./convert-to-openai-compatible-chat-messages"
+import { getResponseMetadata } from "./get-response-metadata"
+import { mapOpenAICompatibleFinishReason } from "./map-openai-compatible-finish-reason"
+import { type OpenAICompatibleChatModelId, openaiCompatibleProviderOptions } from "./openai-compatible-chat-options"
+import { defaultOpenAICompatibleErrorStructure, type ProviderErrorStructure } from "../openai-compatible-error"
+import type { MetadataExtractor } from "./openai-compatible-metadata-extractor"
+import { prepareTools } from "./openai-compatible-prepare-tools"
 
 export type OpenAICompatibleChatConfig = {
-  provider: string;
-  headers: () => Record<string, string | undefined>;
-  url: (options: { modelId: string; path: string }) => string;
-  fetch?: FetchFunction;
-  includeUsage?: boolean;
-  errorStructure?: ProviderErrorStructure<any>;
-  metadataExtractor?: MetadataExtractor;
+  provider: string
+  headers: () => Record<string, string | undefined>
+  url: (options: { modelId: string; path: string }) => string
+  fetch?: FetchFunction
+  includeUsage?: boolean
+  errorStructure?: ProviderErrorStructure<any>
+  metadataExtractor?: MetadataExtractor
 
   /**
    * Whether the model supports structured outputs.
    */
-  supportsStructuredOutputs?: boolean;
+  supportsStructuredOutputs?: boolean
 
   /**
    * The supported URLs for the model.
    */
-  supportedUrls?: () => LanguageModelV2['supportedUrls'];
-};
+  supportedUrls?: () => LanguageModelV2["supportedUrls"]
+}
 
 export class OpenAICompatibleChatLanguageModel implements LanguageModelV2 {
-  readonly specificationVersion = 'v2';
+  readonly specificationVersion = "v2"
 
-  readonly supportsStructuredOutputs: boolean;
+  readonly supportsStructuredOutputs: boolean
 
-  readonly modelId: OpenAICompatibleChatModelId;
-  private readonly config: OpenAICompatibleChatConfig;
-  private readonly failedResponseHandler: ResponseHandler<APICallError>;
-  private readonly chunkSchema; // type inferred via constructor
+  readonly modelId: OpenAICompatibleChatModelId
+  private readonly config: OpenAICompatibleChatConfig
+  private readonly failedResponseHandler: ResponseHandler<APICallError>
+  private readonly chunkSchema // type inferred via constructor
 
-  constructor(
-    modelId: OpenAICompatibleChatModelId,
-    config: OpenAICompatibleChatConfig,
-  ) {
-    this.modelId = modelId;
-    this.config = config;
+  constructor(modelId: OpenAICompatibleChatModelId, config: OpenAICompatibleChatConfig) {
+    this.modelId = modelId
+    this.config = config
 
     // initialize error handling:
-    const errorStructure =
-      config.errorStructure ?? defaultOpenAICompatibleErrorStructure;
-    this.chunkSchema = createOpenAICompatibleChatChunkSchema(
-      errorStructure.errorSchema,
-    );
-    this.failedResponseHandler = createJsonErrorResponseHandler(errorStructure);
-
-    this.supportsStructuredOutputs = config.supportsStructuredOutputs ?? false;
+    const errorStructure = config.errorStructure ?? defaultOpenAICompatibleErrorStructure
+    this.chunkSchema = createOpenAICompatibleChatChunkSchema(errorStructure.errorSchema)
+    this.failedResponseHandler = createJsonErrorResponseHandler(errorStructure)
+
+    this.supportsStructuredOutputs = config.supportsStructuredOutputs ?? false
   }
 
   get provider(): string {
-    return this.config.provider;
+    return this.config.provider
   }
 
   private get providerOptionsName(): string {
-    return this.config.provider.split('.')[0].trim();
+    return this.config.provider.split(".")[0].trim()
   }
 
   get supportedUrls() {
-    return this.config.supportedUrls?.() ?? {};
+    return this.config.supportedUrls?.() ?? {}
   }
 
   private async getArgs({
@@ -110,13 +98,13 @@ export class OpenAICompatibleChatLanguageModel implements LanguageModelV2 {
     seed,
     toolChoice,
     tools,
-  }: Parameters<LanguageModelV2['doGenerate']>[0]) {
-    const warnings: LanguageModelV2CallWarning[] = [];
+  }: Parameters<LanguageModelV2["doGenerate"]>[0]) {
+    const warnings: LanguageModelV2CallWarning[] = []
 
     // Parse provider options
     const compatibleOptions = Object.assign(
       (await parseProviderOptions({
-        provider: 'copilot',
+        provider: "copilot",
         providerOptions,
         schema: openaiCompatibleProviderOptions,
       })) ?? {},
@@ -125,23 +113,18 @@ export class OpenAICompatibleChatLanguageModel implements LanguageModelV2 {
         providerOptions,
         schema: openaiCompatibleProviderOptions,
       })) ?? {},
-    );
+    )
 
     if (topK != null) {
-      warnings.push({ type: 'unsupported-setting', setting: 'topK' });
+      warnings.push({ type: "unsupported-setting", setting: "topK" })
     }
 
-    if (
-      responseFormat?.type === 'json' &&
-      responseFormat.schema != null &&
-      !this.supportsStructuredOutputs
-    ) {
+    if (responseFormat?.type === "json" && responseFormat.schema != null && !this.supportsStructuredOutputs) {
       warnings.push({
-        type: 'unsupported-setting',
-        setting: 'responseFormat',
-        details:
-          'JSON response format schema is only supported with structuredOutputs',
-      });
+        type: "unsupported-setting",
+        setting: "responseFormat",
+        details: "JSON response format schema is only supported with structuredOutputs",
+      })
     }
 
     const {
@@ -151,7 +134,7 @@ export class OpenAICompatibleChatLanguageModel implements LanguageModelV2 {
     } = prepareTools({
       tools,
       toolChoice,
-    });
+    })
 
     return {
       args: {
@@ -168,28 +151,24 @@ export class OpenAICompatibleChatLanguageModel implements LanguageModelV2 {
         frequency_penalty: frequencyPenalty,
         presence_penalty: presencePenalty,
         response_format:
-          responseFormat?.type === 'json'
-            ? this.supportsStructuredOutputs === true &&
-              responseFormat.schema != null
+          responseFormat?.type === "json"
+            ? this.supportsStructuredOutputs === true && responseFormat.schema != null
               ? {
-                  type: 'json_schema',
+                  type: "json_schema",
                   json_schema: {
                     schema: responseFormat.schema,
-                    name: responseFormat.name ?? 'response',
+                    name: responseFormat.name ?? "response",
                     description: responseFormat.description,
                   },
                 }
-              : { type: 'json_object' }
+              : { type: "json_object" }
             : undefined,
 
         stop: stopSequences,
         seed,
         ...Object.fromEntries(
-          Object.entries(
-            providerOptions?.[this.providerOptionsName] ?? {},
-          ).filter(
-            ([key]) =>
-              !Object.keys(openaiCompatibleProviderOptions.shape).includes(key),
+          Object.entries(providerOptions?.[this.providerOptionsName] ?? {}).filter(
+            ([key]) => !Object.keys(openaiCompatibleProviderOptions.shape).includes(key),
           ),
         ),
 
@@ -207,15 +186,15 @@ export class OpenAICompatibleChatLanguageModel implements LanguageModelV2 {
         thinking_budget: compatibleOptions.thinking_budget,
       },
       warnings: [...warnings, ...toolWarnings],
-    };
+    }
   }
 
   async doGenerate(
-    options: Parameters<LanguageModelV2['doGenerate']>[0],
-  ): Promise<Awaited<ReturnType<LanguageModelV2['doGenerate']>>> {
-    const { args, warnings } = await this.getArgs({ ...options });
+    options: Parameters<LanguageModelV2["doGenerate"]>[0],
+  ): Promise<Awaited<ReturnType<LanguageModelV2["doGenerate"]>>> {
+    const { args, warnings } = await this.getArgs({ ...options })
 
-    const body = JSON.stringify(args);
+    const body = JSON.stringify(args)
 
     const {
       responseHeaders,
@@ -223,50 +202,48 @@ export class OpenAICompatibleChatLanguageModel implements LanguageModelV2 {
       rawValue: rawResponse,
     } = await postJsonToApi({
       url: this.config.url({
-        path: '/chat/completions',
+        path: "/chat/completions",
         modelId: this.modelId,
       }),
       headers: combineHeaders(this.config.headers(), options.headers),
       body: args,
       failedResponseHandler: this.failedResponseHandler,
-      successfulResponseHandler: createJsonResponseHandler(
-        OpenAICompatibleChatResponseSchema,
-      ),
+      successfulResponseHandler: createJsonResponseHandler(OpenAICompatibleChatResponseSchema),
       abortSignal: options.abortSignal,
       fetch: this.config.fetch,
-    });
+    })
 
-    const choice = responseBody.choices[0];
-    const content: Array<LanguageModelV2Content> = [];
+    const choice = responseBody.choices[0]
+    const content: Array<LanguageModelV2Content> = []
 
     // text content:
-    const text = choice.message.content;
+    const text = choice.message.content
     if (text != null && text.length > 0) {
-      content.push({ type: 'text', text });
+      content.push({ type: "text", text })
     }
 
     // reasoning content (Copilot uses reasoning_text):
-    const reasoning = choice.message.reasoning_text;
+    const reasoning = choice.message.reasoning_text
     if (reasoning != null && reasoning.length > 0) {
       content.push({
-        type: 'reasoning',
+        type: "reasoning",
         text: reasoning,
         // Include reasoning_opaque for Copilot multi-turn reasoning
         providerMetadata: choice.message.reasoning_opaque
           ? { copilot: { reasoningOpaque: choice.message.reasoning_opaque } }
           : undefined,
-      });
+      })
     }
 
     // tool calls:
     if (choice.message.tool_calls != null) {
       for (const toolCall of choice.message.tool_calls) {
         content.push({
-          type: 'tool-call',
+          type: "tool-call",
           toolCallId: toolCall.id ?? generateId(),
           toolName: toolCall.function.name,
           input: toolCall.function.arguments!,
-        });
+        })
       }
     }
 
@@ -276,16 +253,15 @@ export class OpenAICompatibleChatLanguageModel implements LanguageModelV2 {
       ...(await this.config.metadataExtractor?.extractMetadata?.({
         parsedBody: rawResponse,
       })),
-    };
-    const completionTokenDetails =
-      responseBody.usage?.completion_tokens_details;
+    }
+    const completionTokenDetails = responseBody.usage?.completion_tokens_details
     if (completionTokenDetails?.accepted_prediction_tokens != null) {
       providerMetadata[this.providerOptionsName].acceptedPredictionTokens =
-        completionTokenDetails?.accepted_prediction_tokens;
+        completionTokenDetails?.accepted_prediction_tokens
     }
     if (completionTokenDetails?.rejected_prediction_tokens != null) {
       providerMetadata[this.providerOptionsName].rejectedPredictionTokens =
-        completionTokenDetails?.rejected_prediction_tokens;
+        completionTokenDetails?.rejected_prediction_tokens
     }
 
     return {
@@ -295,11 +271,8 @@ export class OpenAICompatibleChatLanguageModel implements LanguageModelV2 {
         inputTokens: responseBody.usage?.prompt_tokens ?? undefined,
         outputTokens: responseBody.usage?.completion_tokens ?? undefined,
         totalTokens: responseBody.usage?.total_tokens ?? undefined,
-        reasoningTokens:
-          responseBody.usage?.completion_tokens_details?.reasoning_tokens ??
-          undefined,
-        cachedInputTokens:
-          responseBody.usage?.prompt_tokens_details?.cached_tokens ?? undefined,
+        reasoningTokens: responseBody.usage?.completion_tokens_details?.reasoning_tokens ?? undefined,
+        cachedInputTokens: responseBody.usage?.prompt_tokens_details?.cached_tokens ?? undefined,
       },
       providerMetadata,
       request: { body },
@@ -309,65 +282,60 @@ export class OpenAICompatibleChatLanguageModel implements LanguageModelV2 {
         body: rawResponse,
       },
       warnings,
-    };
+    }
   }
 
   async doStream(
-    options: Parameters<LanguageModelV2['doStream']>[0],
-  ): Promise<Awaited<ReturnType<LanguageModelV2['doStream']>>> {
-    const { args, warnings } = await this.getArgs({ ...options });
+    options: Parameters<LanguageModelV2["doStream"]>[0],
+  ): Promise<Awaited<ReturnType<LanguageModelV2["doStream"]>>> {
+    const { args, warnings } = await this.getArgs({ ...options })
 
     const body = {
       ...args,
       stream: true,
 
       // only include stream_options when in strict compatibility mode:
-      stream_options: this.config.includeUsage
-        ? { include_usage: true }
-        : undefined,
-    };
+      stream_options: this.config.includeUsage ? { include_usage: true } : undefined,
+    }
 
-    const metadataExtractor =
-      this.config.metadataExtractor?.createStreamExtractor();
+    const metadataExtractor = this.config.metadataExtractor?.createStreamExtractor()
 
     const { responseHeaders, value: response } = await postJsonToApi({
       url: this.config.url({
-        path: '/chat/completions',
+        path: "/chat/completions",
         modelId: this.modelId,
       }),
       headers: combineHeaders(this.config.headers(), options.headers),
       body,
       failedResponseHandler: this.failedResponseHandler,
-      successfulResponseHandler: createEventSourceResponseHandler(
-        this.chunkSchema,
-      ),
+      successfulResponseHandler: createEventSourceResponseHandler(this.chunkSchema),
       abortSignal: options.abortSignal,
       fetch: this.config.fetch,
-    });
+    })
 
     const toolCalls: Array<{
-      id: string;
-      type: 'function';
+      id: string
+      type: "function"
       function: {
-        name: string;
-        arguments: string;
-      };
-      hasFinished: boolean;
-    }> = [];
+        name: string
+        arguments: string
+      }
+      hasFinished: boolean
+    }> = []
 
-    let finishReason: LanguageModelV2FinishReason = 'unknown';
+    let finishReason: LanguageModelV2FinishReason = "unknown"
     const usage: {
-      completionTokens: number | undefined;
+      completionTokens: number | undefined
       completionTokensDetails: {
-        reasoningTokens: number | undefined;
-        acceptedPredictionTokens: number | undefined;
-        rejectedPredictionTokens: number | undefined;
-      };
-      promptTokens: number | undefined;
+        reasoningTokens: number | undefined
+        acceptedPredictionTokens: number | undefined
+        rejectedPredictionTokens: number | undefined
+      }
+      promptTokens: number | undefined
       promptTokensDetails: {
-        cachedTokens: number | undefined;
-      };
-      totalTokens: number | undefined;
+        cachedTokens: number | undefined
+      }
+      totalTokens: number | undefined
     } = {
       completionTokens: undefined,
       completionTokensDetails: {
@@ -380,54 +348,51 @@ export class OpenAICompatibleChatLanguageModel implements LanguageModelV2 {
         cachedTokens: undefined,
       },
       totalTokens: undefined,
-    };
-    let isFirstChunk = true;
-    const providerOptionsName = this.providerOptionsName;
-    let isActiveReasoning = false;
-    let isActiveText = false;
-    let reasoningOpaque: string | undefined;
+    }
+    let isFirstChunk = true
+    const providerOptionsName = this.providerOptionsName
+    let isActiveReasoning = false
+    let isActiveText = false
+    let reasoningOpaque: string | undefined
 
     return {
       stream: response.pipeThrough(
-        new TransformStream<
-          ParseResult<z.infer<typeof this.chunkSchema>>,
-          LanguageModelV2StreamPart
-        >({
+        new TransformStream<ParseResult<z.infer<typeof this.chunkSchema>>, LanguageModelV2StreamPart>({
           start(controller) {
-            controller.enqueue({ type: 'stream-start', warnings });
+            controller.enqueue({ type: "stream-start", warnings })
           },
 
           // TODO we lost type safety on Chunk, most likely due to the error schema. MUST FIX
           transform(chunk, controller) {
             // Emit raw chunk if requested (before anything else)
             if (options.includeRawChunks) {
-              controller.enqueue({ type: 'raw', rawValue: chunk.rawValue });
+              controller.enqueue({ type: "raw", rawValue: chunk.rawValue })
             }
 
             // handle failed chunk parsing / validation:
             if (!chunk.success) {
-              finishReason = 'error';
-              controller.enqueue({ type: 'error', error: chunk.error });
-              return;
+              finishReason = "error"
+              controller.enqueue({ type: "error", error: chunk.error })
+              return
             }
-            const value = chunk.value;
+            const value = chunk.value
 
-            metadataExtractor?.processChunk(chunk.rawValue);
+            metadataExtractor?.processChunk(chunk.rawValue)
 
             // handle error chunks:
-            if ('error' in value) {
-              finishReason = 'error';
-              controller.enqueue({ type: 'error', error: value.error.message });
-              return;
+            if ("error" in value) {
+              finishReason = "error"
+              controller.enqueue({ type: "error", error: value.error.message })
+              return
             }
 
             if (isFirstChunk) {
-              isFirstChunk = false;
+              isFirstChunk = false
 
               controller.enqueue({
-                type: 'response-metadata',
+                type: "response-metadata",
                 ...getResponseMetadata(value),
-              });
+              })
             }
 
             if (value.usage != null) {
@@ -437,46 +402,38 @@ export class OpenAICompatibleChatLanguageModel implements LanguageModelV2 {
                 total_tokens,
                 prompt_tokens_details,
                 completion_tokens_details,
-              } = value.usage;
+              } = value.usage
 
-              usage.promptTokens = prompt_tokens ?? undefined;
-              usage.completionTokens = completion_tokens ?? undefined;
-              usage.totalTokens = total_tokens ?? undefined;
+              usage.promptTokens = prompt_tokens ?? undefined
+              usage.completionTokens = completion_tokens ?? undefined
+              usage.totalTokens = total_tokens ?? undefined
               if (completion_tokens_details?.reasoning_tokens != null) {
-                usage.completionTokensDetails.reasoningTokens =
-                  completion_tokens_details?.reasoning_tokens;
+                usage.completionTokensDetails.reasoningTokens = completion_tokens_details?.reasoning_tokens
               }
-              if (
-                completion_tokens_details?.accepted_prediction_tokens != null
-              ) {
+              if (completion_tokens_details?.accepted_prediction_tokens != null) {
                 usage.completionTokensDetails.acceptedPredictionTokens =
-                  completion_tokens_details?.accepted_prediction_tokens;
+                  completion_tokens_details?.accepted_prediction_tokens
               }
-              if (
-                completion_tokens_details?.rejected_prediction_tokens != null
-              ) {
+              if (completion_tokens_details?.rejected_prediction_tokens != null) {
                 usage.completionTokensDetails.rejectedPredictionTokens =
-                  completion_tokens_details?.rejected_prediction_tokens;
+                  completion_tokens_details?.rejected_prediction_tokens
               }
               if (prompt_tokens_details?.cached_tokens != null) {
-                usage.promptTokensDetails.cachedTokens =
-                  prompt_tokens_details?.cached_tokens;
+                usage.promptTokensDetails.cachedTokens = prompt_tokens_details?.cached_tokens
               }
             }
 
-            const choice = value.choices[0];
+            const choice = value.choices[0]
 
             if (choice?.finish_reason != null) {
-              finishReason = mapOpenAICompatibleFinishReason(
-                choice.finish_reason,
-              );
+              finishReason = mapOpenAICompatibleFinishReason(choice.finish_reason)
             }
 
             if (choice?.delta == null) {
-              return;
+              return
             }
 
-            const delta = choice.delta;
+            const delta = choice.delta
 
             // Capture reasoning_opaque for Copilot multi-turn reasoning
             if (delta.reasoning_opaque) {
@@ -484,28 +441,28 @@ export class OpenAICompatibleChatLanguageModel implements LanguageModelV2 {
                 throw new InvalidResponseDataError({
                   data: delta,
                   message:
-                    'Multiple reasoning_opaque values received in a single response. Only one thinking part per response is supported.',
-                });
+                    "Multiple reasoning_opaque values received in a single response. Only one thinking part per response is supported.",
+                })
               }
-              reasoningOpaque = delta.reasoning_opaque;
+              reasoningOpaque = delta.reasoning_opaque
             }
 
             // enqueue reasoning before text deltas (Copilot uses reasoning_text):
-            const reasoningContent = delta.reasoning_text;
+            const reasoningContent = delta.reasoning_text
             if (reasoningContent) {
               if (!isActiveReasoning) {
                 controller.enqueue({
-                  type: 'reasoning-start',
-                  id: 'reasoning-0',
-                });
-                isActiveReasoning = true;
+                  type: "reasoning-start",
+                  id: "reasoning-0",
+                })
+                isActiveReasoning = true
               }
 
               controller.enqueue({
-                type: 'reasoning-delta',
-                id: 'reasoning-0',
+                type: "reasoning-delta",
+                id: "reasoning-0",
                 delta: reasoningContent,
-              });
+              })
             }
 
             if (delta.content) {
@@ -513,25 +470,23 @@ export class OpenAICompatibleChatLanguageModel implements LanguageModelV2 {
               // This handles the case where reasoning_opaque and content come in the same chunk
               if (isActiveReasoning && !isActiveText) {
                 controller.enqueue({
-                  type: 'reasoning-end',
-                  id: 'reasoning-0',
-                  providerMetadata: reasoningOpaque
-                    ? { copilot: { reasoningOpaque } }
-                    : undefined,
-                });
-                isActiveReasoning = false;
+                  type: "reasoning-end",
+                  id: "reasoning-0",
+                  providerMetadata: reasoningOpaque ? { copilot: { reasoningOpaque } } : undefined,
+                })
+                isActiveReasoning = false
               }
 
               if (!isActiveText) {
-                controller.enqueue({ type: 'text-start', id: 'txt-0' });
-                isActiveText = true;
+                controller.enqueue({ type: "text-start", id: "txt-0" })
+                isActiveText = true
               }
 
               controller.enqueue({
-                type: 'text-delta',
-                id: 'txt-0',
+                type: "text-delta",
+                id: "txt-0",
                 delta: delta.content,
-              });
+              })
             }
 
             if (delta.tool_calls != null) {
@@ -539,102 +494,96 @@ export class OpenAICompatibleChatLanguageModel implements LanguageModelV2 {
               // This handles the case where reasoning goes directly to tool calls with no content
               if (isActiveReasoning) {
                 controller.enqueue({
-                  type: 'reasoning-end',
-                  id: 'reasoning-0',
-                  providerMetadata: reasoningOpaque
-                    ? { copilot: { reasoningOpaque } }
-                    : undefined,
-                });
-                isActiveReasoning = false;
+                  type: "reasoning-end",
+                  id: "reasoning-0",
+                  providerMetadata: reasoningOpaque ? { copilot: { reasoningOpaque } } : undefined,
+                })
+                isActiveReasoning = false
               }
               for (const toolCallDelta of delta.tool_calls) {
-                const index = toolCallDelta.index;
+                const index = toolCallDelta.index
 
                 if (toolCalls[index] == null) {
                   if (toolCallDelta.id == null) {
                     throw new InvalidResponseDataError({
                       data: toolCallDelta,
                       message: `Expected 'id' to be a string.`,
-                    });
+                    })
                   }
 
                   if (toolCallDelta.function?.name == null) {
                     throw new InvalidResponseDataError({
                       data: toolCallDelta,
                       message: `Expected 'function.name' to be a string.`,
-                    });
+                    })
                   }
 
                   controller.enqueue({
-                    type: 'tool-input-start',
+                    type: "tool-input-start",
                     id: toolCallDelta.id,
                     toolName: toolCallDelta.function.name,
-                  });
+                  })
 
                   toolCalls[index] = {
                     id: toolCallDelta.id,
-                    type: 'function',
+                    type: "function",
                     function: {
                       name: toolCallDelta.function.name,
-                      arguments: toolCallDelta.function.arguments ?? '',
+                      arguments: toolCallDelta.function.arguments ?? "",
                     },
                     hasFinished: false,
-                  };
+                  }
 
-                  const toolCall = toolCalls[index];
+                  const toolCall = toolCalls[index]
 
-                  if (
-                    toolCall.function?.name != null &&
-                    toolCall.function?.arguments != null
-                  ) {
+                  if (toolCall.function?.name != null && toolCall.function?.arguments != null) {
                     // send delta if the argument text has already started:
                     if (toolCall.function.arguments.length > 0) {
                       controller.enqueue({
-                        type: 'tool-input-delta',
+                        type: "tool-input-delta",
                         id: toolCall.id,
                         delta: toolCall.function.arguments,
-                      });
+                      })
                     }
 
                     // check if tool call is complete
                     // (some providers send the full tool call in one chunk):
                     if (isParsableJson(toolCall.function.arguments)) {
                       controller.enqueue({
-                        type: 'tool-input-end',
+                        type: "tool-input-end",
                         id: toolCall.id,
-                      });
+                      })
 
                       controller.enqueue({
-                        type: 'tool-call',
+                        type: "tool-call",
                         toolCallId: toolCall.id ?? generateId(),
                         toolName: toolCall.function.name,
                         input: toolCall.function.arguments,
-                      });
-                      toolCall.hasFinished = true;
+                      })
+                      toolCall.hasFinished = true
                     }
                   }
 
-                  continue;
+                  continue
                 }
 
                 // existing tool call, merge if not finished
-                const toolCall = toolCalls[index];
+                const toolCall = toolCalls[index]
 
                 if (toolCall.hasFinished) {
-                  continue;
+                  continue
                 }
 
                 if (toolCallDelta.function?.arguments != null) {
-                  toolCall.function!.arguments +=
-                    toolCallDelta.function?.arguments ?? '';
+                  toolCall.function!.arguments += toolCallDelta.function?.arguments ?? ""
                 }
 
                 // send delta
                 controller.enqueue({
-                  type: 'tool-input-delta',
+                  type: "tool-input-delta",
                   id: toolCall.id,
-                  delta: toolCallDelta.function.arguments ?? '',
-                });
+                  delta: toolCallDelta.function.arguments ?? "",
+                })
 
                 // check if tool call is complete
                 if (
@@ -643,17 +592,17 @@ export class OpenAICompatibleChatLanguageModel implements LanguageModelV2 {
                   isParsableJson(toolCall.function.arguments)
                 ) {
                   controller.enqueue({
-                    type: 'tool-input-end',
+                    type: "tool-input-end",
                     id: toolCall.id,
-                  });
+                  })
 
                   controller.enqueue({
-                    type: 'tool-call',
+                    type: "tool-call",
                     toolCallId: toolCall.id ?? generateId(),
                     toolName: toolCall.function.name,
                     input: toolCall.function.arguments,
-                  });
-                  toolCall.hasFinished = true;
+                  })
+                  toolCall.hasFinished = true
                 }
               }
             }
@@ -662,77 +611,65 @@ export class OpenAICompatibleChatLanguageModel implements LanguageModelV2 {
           flush(controller) {
             if (isActiveReasoning) {
               controller.enqueue({
-                type: 'reasoning-end',
-                id: 'reasoning-0',
+                type: "reasoning-end",
+                id: "reasoning-0",
                 // Include reasoning_opaque for Copilot multi-turn reasoning
-                providerMetadata: reasoningOpaque
-                  ? { copilot: { reasoningOpaque } }
-                  : undefined,
-              });
+                providerMetadata: reasoningOpaque ? { copilot: { reasoningOpaque } } : undefined,
+              })
             }
 
             if (isActiveText) {
-              controller.enqueue({ type: 'text-end', id: 'txt-0' });
+              controller.enqueue({ type: "text-end", id: "txt-0" })
             }
 
             // go through all tool calls and send the ones that are not finished
-            for (const toolCall of toolCalls.filter(
-              toolCall => !toolCall.hasFinished,
-            )) {
+            for (const toolCall of toolCalls.filter((toolCall) => !toolCall.hasFinished)) {
               controller.enqueue({
-                type: 'tool-input-end',
+                type: "tool-input-end",
                 id: toolCall.id,
-              });
+              })
 
               controller.enqueue({
-                type: 'tool-call',
+                type: "tool-call",
                 toolCallId: toolCall.id ?? generateId(),
                 toolName: toolCall.function.name,
                 input: toolCall.function.arguments,
-              });
+              })
             }
 
             const providerMetadata: SharedV2ProviderMetadata = {
               [providerOptionsName]: {},
               // Include reasoning_opaque for Copilot multi-turn reasoning
-              ...(reasoningOpaque
-                ? { copilot: { reasoningOpaque } }
-                : {}),
+              ...(reasoningOpaque ? { copilot: { reasoningOpaque } } : {}),
               ...metadataExtractor?.buildMetadata(),
-            };
-            if (
-              usage.completionTokensDetails.acceptedPredictionTokens != null
-            ) {
+            }
+            if (usage.completionTokensDetails.acceptedPredictionTokens != null) {
               providerMetadata[providerOptionsName].acceptedPredictionTokens =
-                usage.completionTokensDetails.acceptedPredictionTokens;
+                usage.completionTokensDetails.acceptedPredictionTokens
             }
-            if (
-              usage.completionTokensDetails.rejectedPredictionTokens != null
-            ) {
+            if (usage.completionTokensDetails.rejectedPredictionTokens != null) {
               providerMetadata[providerOptionsName].rejectedPredictionTokens =
-                usage.completionTokensDetails.rejectedPredictionTokens;
+                usage.completionTokensDetails.rejectedPredictionTokens
             }
 
             controller.enqueue({
-              type: 'finish',
+              type: "finish",
               finishReason,
               usage: {
                 inputTokens: usage.promptTokens ?? undefined,
                 outputTokens: usage.completionTokens ?? undefined,
                 totalTokens: usage.totalTokens ?? undefined,
-                reasoningTokens:
-                  usage.completionTokensDetails.reasoningTokens ?? undefined,
-                cachedInputTokens:
-                  usage.promptTokensDetails.cachedTokens ?? undefined,
+                reasoningTokens: usage.completionTokensDetails.reasoningTokens ?? undefined,
+                cachedInputTokens: usage.promptTokensDetails.cachedTokens ?? undefined,
               },
               providerMetadata,
-            });
+            })
           },
         }),
       ),
       request: { body },
       response: { headers: responseHeaders },
-    };
+    }
   }
 }
 
@@ -754,7 +691,7 @@ const openaiCompatibleTokenUsageSchema = z
       })
       .nullish(),
   })
-  .nullish();
+  .nullish()
 
 // limited version of the schema, focussed on what is needed for the implementation
 // this approach limits breakages when the API changes and increases efficiency
@@ -765,7 +702,7 @@ const OpenAICompatibleChatResponseSchema = z.object({
   choices: z.array(
     z.object({
       message: z.object({
-        role: z.literal('assistant').nullish(),
+        role: z.literal("assistant").nullish(),
         content: z.string().nullish(),
         // Copilot-specific reasoning fields
         reasoning_text: z.string().nullish(),
@@ -786,15 +723,11 @@ const OpenAICompatibleChatResponseSchema = z.object({
     }),
   ),
   usage: openaiCompatibleTokenUsageSchema,
-});
+})
 
 // limited version of the schema, focussed on what is needed for the implementation
 // this approach limits breakages when the API changes and increases efficiency
-const createOpenAICompatibleChatChunkSchema = <
-  ERROR_SCHEMA extends z.core.$ZodType,
->(
-  errorSchema: ERROR_SCHEMA,
-) =>
+const createOpenAICompatibleChatChunkSchema = <ERROR_SCHEMA extends z.core.$ZodType>(errorSchema: ERROR_SCHEMA) =>
   z.union([
     z.object({
       id: z.string().nullish(),
@@ -804,7 +737,7 @@ const createOpenAICompatibleChatChunkSchema = <
         z.object({
           delta: z
             .object({
-              role: z.enum(['assistant']).nullish(),
+              role: z.enum(["assistant"]).nullish(),
               content: z.string().nullish(),
               // Copilot-specific reasoning fields
               reasoning_text: z.string().nullish(),
@@ -829,4 +762,4 @@ const createOpenAICompatibleChatChunkSchema = <
       usage: openaiCompatibleTokenUsageSchema,
     }),
     errorSchema,
-  ]);
+  ])

packages/opencode/src/provider/sdk/copilot/chat/openai-compatible-chat-options.ts

@@ -1,6 +1,6 @@
-import { z } from 'zod/v4';
+import { z } from "zod/v4"
 
-export type OpenAICompatibleChatModelId = string;
+export type OpenAICompatibleChatModelId = string
 
 export const openaiCompatibleProviderOptions = z.object({
   /**
@@ -23,8 +23,6 @@ export const openaiCompatibleProviderOptions = z.object({
    * Copilot thinking_budget used for Anthropic models.
    */
   thinking_budget: z.number().optional(),
-});
+})
 
-export type OpenAICompatibleProviderOptions = z.infer<
-  typeof openaiCompatibleProviderOptions
->;
+export type OpenAICompatibleProviderOptions = z.infer<typeof openaiCompatibleProviderOptions>

packages/opencode/src/provider/sdk/copilot/chat/openai-compatible-metadata-extractor.ts

@@ -1,4 +1,4 @@
-import type { SharedV2ProviderMetadata } from '@ai-sdk/provider';
+import type { SharedV2ProviderMetadata } from "@ai-sdk/provider"
 
 /**
 Extracts provider-specific metadata from API responses.
@@ -14,11 +14,7 @@ export type MetadataExtractor = {
    * @returns Provider-specific metadata or undefined if no metadata is available.
    *          The metadata should be under a key indicating the provider id.
    */
-  extractMetadata: ({
-    parsedBody,
-  }: {
-    parsedBody: unknown;
-  }) => Promise<SharedV2ProviderMetadata | undefined>;
+  extractMetadata: ({ parsedBody }: { parsedBody: unknown }) => Promise<SharedV2ProviderMetadata | undefined>
 
   /**
    * Creates an extractor for handling streaming responses. The returned object provides
@@ -34,7 +30,7 @@ export type MetadataExtractor = {
      *
      * @param parsedChunk - The parsed JSON response chunk from the provider's API
      */
-    processChunk(parsedChunk: unknown): void;
+    processChunk(parsedChunk: unknown): void
 
     /**
      * Builds the metadata object after all chunks have been processed.
@@ -43,6 +39,6 @@ export type MetadataExtractor = {
      * @returns Provider-specific metadata or undefined if no metadata is available.
      *          The metadata should be under a key indicating the provider id.
      */
-    buildMetadata(): SharedV2ProviderMetadata | undefined;
-  };
-};
+    buildMetadata(): SharedV2ProviderMetadata | undefined
+  }
+}

packages/opencode/src/provider/sdk/copilot/chat/openai-compatible-prepare-tools.ts

@@ -2,91 +2,86 @@ import {
   type LanguageModelV2CallOptions,
   type LanguageModelV2CallWarning,
   UnsupportedFunctionalityError,
-} from '@ai-sdk/provider';
+} from "@ai-sdk/provider"
 
 export function prepareTools({
   tools,
   toolChoice,
 }: {
-  tools: LanguageModelV2CallOptions['tools'];
-  toolChoice?: LanguageModelV2CallOptions['toolChoice'];
+  tools: LanguageModelV2CallOptions["tools"]
+  toolChoice?: LanguageModelV2CallOptions["toolChoice"]
 }): {
   tools:
     | undefined
     | Array<{
-        type: 'function';
+        type: "function"
         function: {
-          name: string;
-          description: string | undefined;
-          parameters: unknown;
-        };
-      }>;
-  toolChoice:
-    | { type: 'function'; function: { name: string } }
-    | 'auto'
-    | 'none'
-    | 'required'
-    | undefined;
-  toolWarnings: LanguageModelV2CallWarning[];
+          name: string
+          description: string | undefined
+          parameters: unknown
+        }
+      }>
+  toolChoice: { type: "function"; function: { name: string } } | "auto" | "none" | "required" | undefined
+  toolWarnings: LanguageModelV2CallWarning[]
 } {
   // when the tools array is empty, change it to undefined to prevent errors:
-  tools = tools?.length ? tools : undefined;
+  tools = tools?.length ? tools : undefined
 
-  const toolWarnings: LanguageModelV2CallWarning[] = [];
+  const toolWarnings: LanguageModelV2CallWarning[] = []
 
   if (tools == null) {
-    return { tools: undefined, toolChoice: undefined, toolWarnings };
+    return { tools: undefined, toolChoice: undefined, toolWarnings }
   }
 
   const openaiCompatTools: Array<{
-    type: 'function';
+    type: "function"
     function: {
-      name: string;
-      description: string | undefined;
-      parameters: unknown;
-    };
-  }> = [];
+      name: string
+      description: string | undefined
+      parameters: unknown
+    }
+  }> = []
 
   for (const tool of tools) {
-    if (tool.type === 'provider-defined') {
-      toolWarnings.push({ type: 'unsupported-tool', tool });
+    if (tool.type === "provider-defined") {
+      toolWarnings.push({ type: "unsupported-tool", tool })
     } else {
       openaiCompatTools.push({
-        type: 'function',
+        type: "function",
         function: {
           name: tool.name,
           description: tool.description,
           parameters: tool.inputSchema,
         },
-      });
+      })
     }
   }
 
   if (toolChoice == null) {
-    return { tools: openaiCompatTools, toolChoice: undefined, toolWarnings };
+    return { tools: openaiCompatTools, toolChoice: undefined, toolWarnings }
   }
 
-  const type = toolChoice.type;
+  const type = toolChoice.type
 
   switch (type) {
-    case 'auto':
-    case 'none':
-    case 'required':
-      return { tools: openaiCompatTools, toolChoice: type, toolWarnings };
-    case 'tool':
+    case "auto":
+    case "none":
+    case "required":
+      return { tools: openaiCompatTools, toolChoice: type, toolWarnings }
+    case "tool":
       return {
         tools: openaiCompatTools,
         toolChoice: {
-          type: 'function',
+          type: "function",
           function: { name: toolChoice.toolName },
         },
         toolWarnings,
-      };
+      }
     default: {
-      const _exhaustiveCheck: never = type;
+      const _exhaustiveCheck: never = type
       throw new UnsupportedFunctionalityError({
         functionality: `tool choice type: ${_exhaustiveCheck}`,
-      });
+      })
     }
   }
 }

packages/opencode/src/provider/sdk/copilot/openai-compatible-error.ts

@@ -1,4 +1,4 @@
-import { z, type ZodType } from 'zod/v4';
+import { z, type ZodType } from "zod/v4"
 
 export const openaiCompatibleErrorDataSchema = z.object({
   error: z.object({
@@ -11,20 +11,17 @@ export const openaiCompatibleErrorDataSchema = z.object({
     param: z.any().nullish(),
     code: z.union([z.string(), z.number()]).nullish(),
   }),
-});
+})
 
-export type OpenAICompatibleErrorData = z.infer<
-  typeof openaiCompatibleErrorDataSchema
->;
+export type OpenAICompatibleErrorData = z.infer<typeof openaiCompatibleErrorDataSchema>
 
 export type ProviderErrorStructure<T> = {
-  errorSchema: ZodType<T>;
-  errorToMessage: (error: T) => string;
-  isRetryable?: (response: Response, error?: T) => boolean;
-};
+  errorSchema: ZodType<T>
+  errorToMessage: (error: T) => string
+  isRetryable?: (response: Response, error?: T) => boolean
+}
 
-export const defaultOpenAICompatibleErrorStructure: ProviderErrorStructure<OpenAICompatibleErrorData> =
-  {
-    errorSchema: openaiCompatibleErrorDataSchema,
-    errorToMessage: data => data.error.message,
-  };
+export const defaultOpenAICompatibleErrorStructure: ProviderErrorStructure<OpenAICompatibleErrorData> = {
+  errorSchema: openaiCompatibleErrorDataSchema,
+  errorToMessage: (data) => data.error.message,
+}

packages/opencode/test/provider/copilot/convert-to-copilot-messages.test.ts

@@ -464,7 +464,7 @@ describe("full conversation", () => {
 
     expect(result).toHaveLength(4)
 
-    const systemMsg = result[0];
+    const systemMsg = result[0]
     expect(systemMsg.role).toBe("system")
 
     // Assistant message should have reasoning fields

packages/opencode/test/provider/copilot/copilot-chat-model.test.ts

@@ -355,7 +355,9 @@ describe("doStream", () => {
     // Check text content
     const textDeltas = parts.filter((p) => p.type === "text-delta")
     expect(textDeltas).toHaveLength(1)
-    expect((textDeltas[0] as { delta: string }).delta).toContain("Okay, I need to check out the project's file structure.")
+    expect((textDeltas[0] as { delta: string }).delta).toContain(
+      "Okay, I need to check out the project's file structure.",
+    )
 
     // Check tool call
     const toolParts = parts.filter(

packages/opencode/test/provider/transform.test.ts

@@ -1108,7 +1108,7 @@ describe("ProviderTransform.message - providerOptions key remapping", () => {
         role: "user",
         content: "Hello",
         providerOptions: {
-          "copilot": { someOption: "value" },
+          copilot: { someOption: "value" },
         },
       },
     ] as any[]