{"version":3,"file":"mistral.d.ts","sourceRoot":"","sources":["../../src/providers/mistral.ts"],"names":[],"mappings":"AAUA,OAAO,KAAK,EAKX,mBAAmB,EAEnB,cAAc,EACd,aAAa,EAKb,MAAM,aAAa,CAAC;AAWrB;;GAEG;AACH,KAAK,sBAAsB,GAAG,MAAM,GAAG,MAAM,CAAC;AAE9C,MAAM,WAAW,cAAe,SAAQ,aAAa;IACpD,UAAU,CAAC,EAAE,MAAM,GAAG,MAAM,GAAG,KAAK,GAAG,UAAU,GAAG;QAAE,IAAI,EAAE,UAAU,CAAC;QAAC,QAAQ,EAAE;YAAE,IAAI,EAAE,MAAM,CAAA;SAAE,CAAA;KAAE,CAAC;IACrG,UAAU,CAAC,EAAE,WAAW,CAAC;IACzB,eAAe,CAAC,EAAE,sBAAsB,CAAC;CACzC;AAED;;GAEG;AACH,eAAO,MAAM,aAAa,EAAE,cAAc,CAAC,uBAAuB,EAAE,cAAc,CAyDjF,CAAC;AAEF;;GAEG;AACH,eAAO,MAAM,mBAAmB,EAAE,cAAc,CAAC,uBAAuB,EAAE,mBAAmB,CAqB5F,CAAC","sourcesContent":["import { Mistral } from \"@mistralai/mistralai\";\nimport type {\n\tChatCompletionStreamRequest,\n\tChatCompletionStreamRequestMessage,\n\tCompletionEvent,\n\tContentChunk,\n\tFunctionTool,\n} from \"@mistralai/mistralai/models/components\";\nimport { getEnvApiKey } from \"../env-api-keys.js\";\nimport { calculateCost, clampThinkingLevel } from \"../models.js\";\nimport type {\n\tAssistantMessage,\n\tContext,\n\tMessage,\n\tModel,\n\tSimpleStreamOptions,\n\tStopReason,\n\tStreamFunction,\n\tStreamOptions,\n\tTextContent,\n\tThinkingContent,\n\tTool,\n\tToolCall,\n} from \"../types.js\";\nimport { AssistantMessageEventStream } from \"../utils/event-stream.js\";\nimport { shortHash } from \"../utils/hash.js\";\nimport { parseStreamingJson } from \"../utils/json-parse.js\";\nimport { sanitizeSurrogates } from \"../utils/sanitize-unicode.js\";\nimport { buildBaseOptions } from \"./simple-options.js\";\nimport { transformMessages } from \"./transform-messages.js\";\n\nconst MISTRAL_TOOL_CALL_ID_LENGTH = 9;\nconst MAX_MISTRAL_ERROR_BODY_CHARS = 4000;\n\n/**\n * Provider-specific options for the Mistral API.\n */\ntype MistralReasoningEffort = \"none\" | \"high\";\n\nexport interface MistralOptions extends StreamOptions {\n\ttoolChoice?: \"auto\" | \"none\" | \"any\" | \"required\" | { type: \"function\"; function: { name: string } };\n\tpromptMode?: \"reasoning\";\n\treasoningEffort?: MistralReasoningEffort;\n}\n\n/**\n * Stream responses from Mistral using `chat.stream`.\n */\nexport const streamMistral: StreamFunction<\"mistral-conversations\", MistralOptions> = (\n\tmodel: Model<\"mistral-conversations\">,\n\tcontext: Context,\n\toptions?: MistralOptions,\n): AssistantMessageEventStream => {\n\tconst stream = new AssistantMessageEventStream();\n\n\t(async () => {\n\t\tconst output = createOutput(model);\n\n\t\ttry {\n\t\t\tconst apiKey = options?.apiKey || getEnvApiKey(model.provider);\n\t\t\tif (!apiKey) {\n\t\t\t\tthrow new Error(`No API key for provider: ${model.provider}`);\n\t\t\t}\n\n\t\t\t// Intentionally per-request: avoids shared SDK mutable state across concurrent consumers.\n\t\t\tconst mistral = new Mistral({\n\t\t\t\tapiKey,\n\t\t\t\tserverURL: model.baseUrl,\n\t\t\t});\n\n\t\t\tconst normalizeMistralToolCallId = createMistralToolCallIdNormalizer();\n\t\t\tconst transformedMessages = transformMessages(context.messages, model, (id) => normalizeMistralToolCallId(id));\n\n\t\t\tlet payload = buildChatPayload(model, context, transformedMessages, options);\n\t\t\tconst nextPayload = await options?.onPayload?.(payload, model);\n\t\t\tif (nextPayload !== undefined) {\n\t\t\t\tpayload = nextPayload as ChatCompletionStreamRequest;\n\t\t\t}\n\t\t\tconst mistralStream = await mistral.chat.stream(payload, buildRequestOptions(model, options));\n\t\t\tstream.push({ type: \"start\", partial: output });\n\t\t\tawait consumeChatStream(model, output, stream, mistralStream);\n\n\t\t\tif (options?.signal?.aborted) {\n\t\t\t\tthrow new Error(\"Request was aborted\");\n\t\t\t}\n\n\t\t\tif (output.stopReason === \"aborted\" || output.stopReason === \"error\") {\n\t\t\t\tthrow new Error(\"An unknown error occurred\");\n\t\t\t}\n\n\t\t\tstream.push({ type: \"done\", reason: output.stopReason, message: output });\n\t\t\tstream.end();\n\t\t} catch (error) {\n\t\t\tfor (const block of output.content) {\n\t\t\t\t// partialArgs is only a streaming scratch buffer; never persist it.\n\t\t\t\tdelete (block as { partialArgs?: string }).partialArgs;\n\t\t\t}\n\t\t\toutput.stopReason = options?.signal?.aborted ? \"aborted\" : \"error\";\n\t\t\toutput.errorMessage = formatMistralError(error);\n\t\t\tstream.push({ type: \"error\", reason: output.stopReason, error: output });\n\t\t\tstream.end();\n\t\t}\n\t})();\n\n\treturn stream;\n};\n\n/**\n * Maps provider-agnostic `SimpleStreamOptions` to Mistral options.\n */\nexport const streamSimpleMistral: StreamFunction<\"mistral-conversations\", SimpleStreamOptions> = (\n\tmodel: Model<\"mistral-conversations\">,\n\tcontext: Context,\n\toptions?: SimpleStreamOptions,\n): AssistantMessageEventStream => {\n\tconst apiKey = options?.apiKey || getEnvApiKey(model.provider);\n\tif (!apiKey) {\n\t\tthrow new Error(`No API key for provider: ${model.provider}`);\n\t}\n\n\tconst base = buildBaseOptions(model, options, apiKey);\n\tconst clampedReasoning = options?.reasoning ? clampThinkingLevel(model, options.reasoning) : undefined;\n\tconst reasoning = clampedReasoning === \"off\" ? undefined : clampedReasoning;\n\tconst shouldUseReasoning = model.reasoning && reasoning !== undefined;\n\n\treturn streamMistral(model, context, {\n\t\t...base,\n\t\tpromptMode: shouldUseReasoning && usesPromptModeReasoning(model) ? \"reasoning\" : undefined,\n\t\treasoningEffort:\n\t\t\tshouldUseReasoning && usesReasoningEffort(model) ? mapReasoningEffort(model, reasoning) : undefined,\n\t} satisfies MistralOptions);\n};\n\nfunction createOutput(model: Model<\"mistral-conversations\">): AssistantMessage {\n\treturn {\n\t\trole: \"assistant\",\n\t\tcontent: [],\n\t\tapi: model.api,\n\t\tprovider: model.provider,\n\t\tmodel: model.id,\n\t\tusage: {\n\t\t\tinput: 0,\n\t\t\toutput: 0,\n\t\t\tcacheRead: 0,\n\t\t\tcacheWrite: 0,\n\t\t\ttotalTokens: 0,\n\t\t\tcost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },\n\t\t},\n\t\tstopReason: \"stop\",\n\t\ttimestamp: Date.now(),\n\t};\n}\n\nfunction createMistralToolCallIdNormalizer(): (id: string) => string {\n\tconst idMap = new Map<string, string>();\n\tconst reverseMap = new Map<string, string>();\n\n\treturn (id: string): string => {\n\t\tconst existing = idMap.get(id);\n\t\tif (existing) return existing;\n\n\t\tlet attempt = 0;\n\t\twhile (true) {\n\t\t\tconst candidate = deriveMistralToolCallId(id, attempt);\n\t\t\tconst owner = reverseMap.get(candidate);\n\t\t\tif (!owner || owner === id) {\n\t\t\t\tidMap.set(id, candidate);\n\t\t\t\treverseMap.set(candidate, id);\n\t\t\t\treturn candidate;\n\t\t\t}\n\t\t\tattempt++;\n\t\t}\n\t};\n}\n\nfunction deriveMistralToolCallId(id: string, attempt: number): string {\n\tconst normalized = id.replace(/[^a-zA-Z0-9]/g, \"\");\n\tif (attempt === 0 && normalized.length === MISTRAL_TOOL_CALL_ID_LENGTH) return normalized;\n\tconst seedBase = normalized || id;\n\tconst seed = attempt === 0 ? seedBase : `${seedBase}:${attempt}`;\n\treturn shortHash(seed)\n\t\t.replace(/[^a-zA-Z0-9]/g, \"\")\n\t\t.slice(0, MISTRAL_TOOL_CALL_ID_LENGTH);\n}\n\nfunction formatMistralError(error: unknown): string {\n\tif (error instanceof Error) {\n\t\tconst sdkError = error as Error & { statusCode?: unknown; body?: unknown };\n\t\tconst statusCode = typeof sdkError.statusCode === \"number\" ? sdkError.statusCode : undefined;\n\t\tconst bodyText = typeof sdkError.body === \"string\" ? sdkError.body.trim() : undefined;\n\t\tif (statusCode !== undefined && bodyText) {\n\t\t\treturn `Mistral API error (${statusCode}): ${truncateErrorText(bodyText, MAX_MISTRAL_ERROR_BODY_CHARS)}`;\n\t\t}\n\t\tif (statusCode !== undefined) return `Mistral API error (${statusCode}): ${error.message}`;\n\t\treturn error.message;\n\t}\n\treturn safeJsonStringify(error);\n}\n\nfunction truncateErrorText(text: string, maxChars: number): string {\n\tif (text.length <= maxChars) return text;\n\treturn `${text.slice(0, maxChars)}... [truncated ${text.length - maxChars} chars]`;\n}\n\nfunction safeJsonStringify(value: unknown): string {\n\ttry {\n\t\tconst serialized = JSON.stringify(value);\n\t\treturn serialized === undefined ? String(value) : serialized;\n\t} catch {\n\t\treturn String(value);\n\t}\n}\n\nfunction buildRequestOptions(model: Model<\"mistral-conversations\">, options?: MistralOptions) {\n\tconst requestOptions: {\n\t\tsignal?: AbortSignal;\n\t\tretries: { strategy: \"none\" };\n\t\theaders?: Record<string, string>;\n\t} = {\n\t\tretries: { strategy: \"none\" },\n\t};\n\tif (options?.signal) requestOptions.signal = options.signal;\n\n\tconst headers: Record<string, string> = {};\n\tif (model.headers) Object.assign(headers, model.headers);\n\tif (options?.headers) Object.assign(headers, options.headers);\n\n\t// Mistral infrastructure uses `x-affinity` for KV-cache reuse (prefix caching).\n\t// Respect explicit caller-provided header values.\n\tif (options?.sessionId && !headers[\"x-affinity\"]) {\n\t\theaders[\"x-affinity\"] = options.sessionId;\n\t}\n\n\tif (Object.keys(headers).length > 0) {\n\t\trequestOptions.headers = headers;\n\t}\n\n\treturn requestOptions;\n}\n\nfunction buildChatPayload(\n\tmodel: Model<\"mistral-conversations\">,\n\tcontext: Context,\n\tmessages: Message[],\n\toptions?: MistralOptions,\n): ChatCompletionStreamRequest {\n\tconst payload: ChatCompletionStreamRequest = {\n\t\tmodel: model.id,\n\t\tstream: true,\n\t\tmessages: toChatMessages(messages, model.input.includes(\"image\")),\n\t};\n\n\tif (context.tools?.length) payload.tools = toFunctionTools(context.tools);\n\tif (options?.temperature !== undefined) payload.temperature = options.temperature;\n\tif (options?.maxTokens !== undefined) payload.maxTokens = options.maxTokens;\n\tif (options?.toolChoice) payload.toolChoice = mapToolChoice(options.toolChoice);\n\tif (options?.promptMode) payload.promptMode = options.promptMode;\n\tif (options?.reasoningEffort) payload.reasoningEffort = options.reasoningEffort;\n\n\tif (context.systemPrompt) {\n\t\tpayload.messages.unshift({\n\t\t\trole: \"system\",\n\t\t\tcontent: sanitizeSurrogates(context.systemPrompt),\n\t\t});\n\t}\n\n\treturn payload;\n}\n\nasync function consumeChatStream(\n\tmodel: Model<\"mistral-conversations\">,\n\toutput: AssistantMessage,\n\tstream: AssistantMessageEventStream,\n\tmistralStream: AsyncIterable<CompletionEvent>,\n): Promise<void> {\n\tlet currentBlock: TextContent | ThinkingContent | null = null;\n\tconst blocks = output.content;\n\tconst blockIndex = () => blocks.length - 1;\n\tconst toolBlocksByKey = new Map<string, number>();\n\n\tconst finishCurrentBlock = (block?: typeof currentBlock) => {\n\t\tif (!block) return;\n\t\tif (block.type === \"text\") {\n\t\t\tstream.push({\n\t\t\t\ttype: \"text_end\",\n\t\t\t\tcontentIndex: blockIndex(),\n\t\t\t\tcontent: block.text,\n\t\t\t\tpartial: output,\n\t\t\t});\n\t\t\treturn;\n\t\t}\n\t\tif (block.type === \"thinking\") {\n\t\t\tstream.push({\n\t\t\t\ttype: \"thinking_end\",\n\t\t\t\tcontentIndex: blockIndex(),\n\t\t\t\tcontent: block.thinking,\n\t\t\t\tpartial: output,\n\t\t\t});\n\t\t}\n\t};\n\n\tfor await (const event of mistralStream) {\n\t\tconst chunk = event.data;\n\t\t// Mistral's streamed CompletionChunk carries an id field. Keep the first non-empty one,\n\t\t// mirroring how OpenAI-style streaming exposes a stable response identifier per stream.\n\t\toutput.responseId ||= chunk.id;\n\n\t\tif (chunk.usage) {\n\t\t\toutput.usage.input = chunk.usage.promptTokens || 0;\n\t\t\toutput.usage.output = chunk.usage.completionTokens || 0;\n\t\t\toutput.usage.cacheRead = 0;\n\t\t\toutput.usage.cacheWrite = 0;\n\t\t\toutput.usage.totalTokens = chunk.usage.totalTokens || output.usage.input + output.usage.output;\n\t\t\tcalculateCost(model, output.usage);\n\t\t}\n\n\t\tconst choice = chunk.choices[0];\n\t\tif (!choice) continue;\n\n\t\tif (choice.finishReason) {\n\t\t\toutput.stopReason = mapChatStopReason(choice.finishReason);\n\t\t}\n\n\t\tconst delta = choice.delta;\n\t\tif (delta.content !== null && delta.content !== undefined) {\n\t\t\tconst contentItems = typeof delta.content === \"string\" ? [delta.content] : delta.content;\n\t\t\tfor (const item of contentItems) {\n\t\t\t\tif (typeof item === \"string\") {\n\t\t\t\t\tconst textDelta = sanitizeSurrogates(item);\n\t\t\t\t\tif (!currentBlock || currentBlock.type !== \"text\") {\n\t\t\t\t\t\tfinishCurrentBlock(currentBlock);\n\t\t\t\t\t\tcurrentBlock = { type: \"text\", text: \"\" };\n\t\t\t\t\t\toutput.content.push(currentBlock);\n\t\t\t\t\t\tstream.push({ type: \"text_start\", contentIndex: blockIndex(), partial: output });\n\t\t\t\t\t}\n\t\t\t\t\tcurrentBlock.text += textDelta;\n\t\t\t\t\tstream.push({\n\t\t\t\t\t\ttype: \"text_delta\",\n\t\t\t\t\t\tcontentIndex: blockIndex(),\n\t\t\t\t\t\tdelta: textDelta,\n\t\t\t\t\t\tpartial: output,\n\t\t\t\t\t});\n\t\t\t\t\tcontinue;\n\t\t\t\t}\n\n\t\t\t\tif (item.type === \"thinking\") {\n\t\t\t\t\tconst deltaText = item.thinking\n\t\t\t\t\t\t.map((part) => (\"text\" in part ? part.text : \"\"))\n\t\t\t\t\t\t.filter((text) => text.length > 0)\n\t\t\t\t\t\t.join(\"\");\n\t\t\t\t\tconst thinkingDelta = sanitizeSurrogates(deltaText);\n\t\t\t\t\tif (!thinkingDelta) continue;\n\t\t\t\t\tif (!currentBlock || currentBlock.type !== \"thinking\") {\n\t\t\t\t\t\tfinishCurrentBlock(currentBlock);\n\t\t\t\t\t\tcurrentBlock = { type: \"thinking\", thinking: \"\" };\n\t\t\t\t\t\toutput.content.push(currentBlock);\n\t\t\t\t\t\tstream.push({ type: \"thinking_start\", contentIndex: blockIndex(), partial: output });\n\t\t\t\t\t}\n\t\t\t\t\tcurrentBlock.thinking += thinkingDelta;\n\t\t\t\t\tstream.push({\n\t\t\t\t\t\ttype: \"thinking_delta\",\n\t\t\t\t\t\tcontentIndex: blockIndex(),\n\t\t\t\t\t\tdelta: thinkingDelta,\n\t\t\t\t\t\tpartial: output,\n\t\t\t\t\t});\n\t\t\t\t\tcontinue;\n\t\t\t\t}\n\n\t\t\t\tif (item.type === \"text\") {\n\t\t\t\t\tconst textDelta = sanitizeSurrogates(item.text);\n\t\t\t\t\tif (!currentBlock || currentBlock.type !== \"text\") {\n\t\t\t\t\t\tfinishCurrentBlock(currentBlock);\n\t\t\t\t\t\tcurrentBlock = { type: \"text\", text: \"\" };\n\t\t\t\t\t\toutput.content.push(currentBlock);\n\t\t\t\t\t\tstream.push({ type: \"text_start\", contentIndex: blockIndex(), partial: output });\n\t\t\t\t\t}\n\t\t\t\t\tcurrentBlock.text += textDelta;\n\t\t\t\t\tstream.push({\n\t\t\t\t\t\ttype: \"text_delta\",\n\t\t\t\t\t\tcontentIndex: blockIndex(),\n\t\t\t\t\t\tdelta: textDelta,\n\t\t\t\t\t\tpartial: output,\n\t\t\t\t\t});\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tconst toolCalls = delta.toolCalls || [];\n\t\tfor (const toolCall of toolCalls) {\n\t\t\tif (currentBlock) {\n\t\t\t\tfinishCurrentBlock(currentBlock);\n\t\t\t\tcurrentBlock = null;\n\t\t\t}\n\t\t\tconst callId =\n\t\t\t\ttoolCall.id && toolCall.id !== \"null\"\n\t\t\t\t\t? toolCall.id\n\t\t\t\t\t: deriveMistralToolCallId(`toolcall:${toolCall.index ?? 0}`, 0);\n\t\t\tconst key = `${callId}:${toolCall.index || 0}`;\n\t\t\tconst existingIndex = toolBlocksByKey.get(key);\n\t\t\tlet block: (ToolCall & { partialArgs?: string }) | undefined;\n\n\t\t\tif (existingIndex !== undefined) {\n\t\t\t\tconst existing = output.content[existingIndex];\n\t\t\t\tif (existing?.type === \"toolCall\") {\n\t\t\t\t\tblock = existing as ToolCall & { partialArgs?: string };\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tif (!block) {\n\t\t\t\tblock = {\n\t\t\t\t\ttype: \"toolCall\",\n\t\t\t\t\tid: callId,\n\t\t\t\t\tname: toolCall.function.name,\n\t\t\t\t\targuments: {},\n\t\t\t\t\tpartialArgs: \"\",\n\t\t\t\t};\n\t\t\t\toutput.content.push(block);\n\t\t\t\ttoolBlocksByKey.set(key, output.content.length - 1);\n\t\t\t\tstream.push({ type: \"toolcall_start\", contentIndex: output.content.length - 1, partial: output });\n\t\t\t}\n\n\t\t\tconst argsDelta =\n\t\t\t\ttypeof toolCall.function.arguments === \"string\"\n\t\t\t\t\t? toolCall.function.arguments\n\t\t\t\t\t: JSON.stringify(toolCall.function.arguments || {});\n\t\t\tblock.partialArgs = (block.partialArgs || \"\") + argsDelta;\n\t\t\tblock.arguments = parseStreamingJson<Record<string, unknown>>(block.partialArgs);\n\t\t\tstream.push({\n\t\t\t\ttype: \"toolcall_delta\",\n\t\t\t\tcontentIndex: toolBlocksByKey.get(key)!,\n\t\t\t\tdelta: argsDelta,\n\t\t\t\tpartial: output,\n\t\t\t});\n\t\t}\n\t}\n\n\tfinishCurrentBlock(currentBlock);\n\tfor (const index of toolBlocksByKey.values()) {\n\t\tconst block = output.content[index];\n\t\tif (block.type !== \"toolCall\") continue;\n\t\tconst toolBlock = block as ToolCall & { partialArgs?: string };\n\t\ttoolBlock.arguments = parseStreamingJson<Record<string, unknown>>(toolBlock.partialArgs);\n\t\t// Finalize in-place and strip the scratch buffer so replay only\n\t\t// carries parsed arguments.\n\t\tdelete toolBlock.partialArgs;\n\t\tstream.push({\n\t\t\ttype: \"toolcall_end\",\n\t\t\tcontentIndex: index,\n\t\t\ttoolCall: toolBlock,\n\t\t\tpartial: output,\n\t\t});\n\t}\n}\n\nfunction toFunctionTools(tools: Tool[]): Array<FunctionTool & { type: \"function\" }> {\n\treturn tools.map((tool) => ({\n\t\ttype: \"function\",\n\t\tfunction: {\n\t\t\tname: tool.name,\n\t\t\tdescription: tool.description,\n\t\t\tparameters: stripSymbolKeys(tool.parameters) as Record<string, unknown>,\n\t\t\tstrict: false,\n\t\t},\n\t}));\n}\n\nfunction stripSymbolKeys(value: unknown): unknown {\n\tif (Array.isArray(value)) {\n\t\treturn value.map((item) => stripSymbolKeys(item));\n\t}\n\n\tif (value && typeof value === \"object\") {\n\t\tconst result: Record<string, unknown> = {};\n\t\tfor (const [key, entry] of Object.entries(value)) {\n\t\t\tresult[key] = stripSymbolKeys(entry);\n\t\t}\n\t\treturn result;\n\t}\n\n\treturn value;\n}\n\nfunction toChatMessages(messages: Message[], supportsImages: boolean): ChatCompletionStreamRequestMessage[] {\n\tconst result: ChatCompletionStreamRequestMessage[] = [];\n\n\tfor (const msg of messages) {\n\t\tif (msg.role === \"user\") {\n\t\t\tif (typeof msg.content === \"string\") {\n\t\t\t\tresult.push({ role: \"user\", content: sanitizeSurrogates(msg.content) });\n\t\t\t\tcontinue;\n\t\t\t}\n\t\t\tconst hadImages = msg.content.some((item) => item.type === \"image\");\n\t\t\tconst content: ContentChunk[] = msg.content\n\t\t\t\t.filter((item) => item.type === \"text\" || supportsImages)\n\t\t\t\t.map((item) => {\n\t\t\t\t\tif (item.type === \"text\") return { type: \"text\", text: sanitizeSurrogates(item.text) };\n\t\t\t\t\treturn { type: \"image_url\", imageUrl: `data:${item.mimeType};base64,${item.data}` };\n\t\t\t\t});\n\t\t\tif (content.length > 0) {\n\t\t\t\tresult.push({ role: \"user\", content });\n\t\t\t\tcontinue;\n\t\t\t}\n\t\t\tif (hadImages && !supportsImages) {\n\t\t\t\tresult.push({ role: \"user\", content: \"(image omitted: model does not support images)\" });\n\t\t\t}\n\t\t\tcontinue;\n\t\t}\n\n\t\tif (msg.role === \"assistant\") {\n\t\t\tconst contentParts: ContentChunk[] = [];\n\t\t\tconst toolCalls: Array<{ id: string; type: \"function\"; function: { name: string; arguments: string } }> = [];\n\n\t\t\tfor (const block of msg.content) {\n\t\t\t\tif (block.type === \"text\") {\n\t\t\t\t\tif (block.text.trim().length > 0) {\n\t\t\t\t\t\tcontentParts.push({ type: \"text\", text: sanitizeSurrogates(block.text) });\n\t\t\t\t\t}\n\t\t\t\t\tcontinue;\n\t\t\t\t}\n\t\t\t\tif (block.type === \"thinking\") {\n\t\t\t\t\tif (block.thinking.trim().length > 0) {\n\t\t\t\t\t\tcontentParts.push({\n\t\t\t\t\t\t\ttype: \"thinking\",\n\t\t\t\t\t\t\tthinking: [{ type: \"text\", text: sanitizeSurrogates(block.thinking) }],\n\t\t\t\t\t\t});\n\t\t\t\t\t}\n\t\t\t\t\tcontinue;\n\t\t\t\t}\n\t\t\t\ttoolCalls.push({\n\t\t\t\t\tid: block.id,\n\t\t\t\t\ttype: \"function\",\n\t\t\t\t\tfunction: { name: block.name, arguments: JSON.stringify(block.arguments || {}) },\n\t\t\t\t});\n\t\t\t}\n\n\t\t\tconst assistantMessage: ChatCompletionStreamRequestMessage = { role: \"assistant\" };\n\t\t\tif (contentParts.length > 0) assistantMessage.content = contentParts;\n\t\t\tif (toolCalls.length > 0) assistantMessage.toolCalls = toolCalls;\n\t\t\tif (contentParts.length > 0 || toolCalls.length > 0) result.push(assistantMessage);\n\t\t\tcontinue;\n\t\t}\n\n\t\tconst toolContent: ContentChunk[] = [];\n\t\tconst textResult = msg.content\n\t\t\t.filter((part) => part.type === \"text\")\n\t\t\t.map((part) => (part.type === \"text\" ? sanitizeSurrogates(part.text) : \"\"))\n\t\t\t.join(\"\\n\");\n\t\tconst hasImages = msg.content.some((part) => part.type === \"image\");\n\t\tconst toolText = buildToolResultText(textResult, hasImages, supportsImages, msg.isError);\n\t\ttoolContent.push({ type: \"text\", text: toolText });\n\t\tfor (const part of msg.content) {\n\t\t\tif (!supportsImages) continue;\n\t\t\tif (part.type !== \"image\") continue;\n\t\t\ttoolContent.push({\n\t\t\t\ttype: \"image_url\",\n\t\t\t\timageUrl: `data:${part.mimeType};base64,${part.data}`,\n\t\t\t});\n\t\t}\n\t\tresult.push({\n\t\t\trole: \"tool\",\n\t\t\ttoolCallId: msg.toolCallId,\n\t\t\tname: msg.toolName,\n\t\t\tcontent: toolContent,\n\t\t});\n\t}\n\n\treturn result;\n}\n\nfunction buildToolResultText(text: string, hasImages: boolean, supportsImages: boolean, isError: boolean): string {\n\tconst trimmed = text.trim();\n\tconst errorPrefix = isError ? \"[tool error] \" : \"\";\n\n\tif (trimmed.length > 0) {\n\t\tconst imageSuffix = hasImages && !supportsImages ? \"\\n[tool image omitted: model does not support images]\" : \"\";\n\t\treturn `${errorPrefix}${trimmed}${imageSuffix}`;\n\t}\n\n\tif (hasImages) {\n\t\tif (supportsImages) {\n\t\t\treturn isError ? \"[tool error] (see attached image)\" : \"(see attached image)\";\n\t\t}\n\t\treturn isError\n\t\t\t? \"[tool error] (image omitted: model does not support images)\"\n\t\t\t: \"(image omitted: model does not support images)\";\n\t}\n\n\treturn isError ? \"[tool error] (no tool output)\" : \"(no tool output)\";\n}\n\nfunction usesReasoningEffort(model: Model<\"mistral-conversations\">): boolean {\n\treturn model.id === \"mistral-small-2603\" || model.id === \"mistral-small-latest\" || model.id === \"mistral-medium-3.5\";\n}\n\nfunction usesPromptModeReasoning(model: Model<\"mistral-conversations\">): boolean {\n\treturn model.reasoning && !usesReasoningEffort(model);\n}\n\nfunction mapReasoningEffort(\n\tmodel: Model<\"mistral-conversations\">,\n\tlevel: Exclude<SimpleStreamOptions[\"reasoning\"], undefined>,\n): MistralReasoningEffort {\n\treturn (model.thinkingLevelMap?.[level] ?? \"high\") as MistralReasoningEffort;\n}\n\nfunction mapToolChoice(\n\tchoice: MistralOptions[\"toolChoice\"],\n): \"auto\" | \"none\" | \"any\" | \"required\" | { type: \"function\"; function: { name: string } } | undefined {\n\tif (!choice) return undefined;\n\tif (choice === \"auto\" || choice === \"none\" || choice === \"any\" || choice === \"required\") {\n\t\treturn choice as any;\n\t}\n\treturn {\n\t\ttype: \"function\",\n\t\tfunction: { name: choice.function.name },\n\t};\n}\n\nfunction mapChatStopReason(reason: string | null): StopReason {\n\tif (reason === null) return \"stop\";\n\tswitch (reason) {\n\t\tcase \"stop\":\n\t\t\treturn \"stop\";\n\t\tcase \"length\":\n\t\tcase \"model_length\":\n\t\t\treturn \"length\";\n\t\tcase \"tool_calls\":\n\t\t\treturn \"toolUse\";\n\t\tcase \"error\":\n\t\t\treturn \"error\";\n\t\tdefault:\n\t\t\treturn \"stop\";\n\t}\n}\n"]}