{"version":3,"file":"azure-openai-responses.d.ts","sourceRoot":"","sources":["../../src/providers/azure-openai-responses.ts"],"names":[],"mappings":"AAIA,OAAO,KAAK,EAKX,mBAAmB,EACnB,cAAc,EACd,aAAa,EACb,MAAM,aAAa,CAAC;AA8BrB,MAAM,WAAW,2BAA4B,SAAQ,aAAa;IACjE,eAAe,CAAC,EAAE,SAAS,GAAG,KAAK,GAAG,QAAQ,GAAG,MAAM,GAAG,OAAO,CAAC;IAClE,gBAAgB,CAAC,EAAE,MAAM,GAAG,UAAU,GAAG,SAAS,GAAG,IAAI,CAAC;IAC1D,eAAe,CAAC,EAAE,MAAM,CAAC;IACzB,iBAAiB,CAAC,EAAE,MAAM,CAAC;IAC3B,YAAY,CAAC,EAAE,MAAM,CAAC;IACtB,mBAAmB,CAAC,EAAE,MAAM,CAAC;CAC7B;AAED;;GAEG;AACH,eAAO,MAAM,0BAA0B,EAAE,cAAc,CAAC,wBAAwB,EAAE,2BAA2B,CAkE5G,CAAC;AAEF,eAAO,MAAM,gCAAgC,EAAE,cAAc,CAAC,wBAAwB,EAAE,mBAAmB,CAiB1G,CAAC","sourcesContent":["import { AzureOpenAI } from \"openai\";\nimport type { ResponseCreateParamsStreaming } from \"openai/resources/responses/responses.js\";\nimport { getEnvApiKey } from \"../env-api-keys.js\";\nimport { supportsXhigh } from \"../models.js\";\nimport type {\n\tApi,\n\tAssistantMessage,\n\tContext,\n\tModel,\n\tSimpleStreamOptions,\n\tStreamFunction,\n\tStreamOptions,\n} from \"../types.js\";\nimport { AssistantMessageEventStream } from \"../utils/event-stream.js\";\nimport { convertResponsesMessages, convertResponsesTools, processResponsesStream } from \"./openai-responses-shared.js\";\nimport { buildBaseOptions, clampReasoning } from \"./simple-options.js\";\n\nconst DEFAULT_AZURE_API_VERSION = \"v1\";\nconst AZURE_TOOL_CALL_PROVIDERS = new Set([\"openai\", \"openai-codex\", \"opencode\", \"azure-openai-responses\"]);\n\nfunction parseDeploymentNameMap(value: string | undefined): Map<string, string> {\n\tconst map = new Map<string, string>();\n\tif (!value) return map;\n\tfor (const entry of value.split(\",\")) {\n\t\tconst trimmed = entry.trim();\n\t\tif (!trimmed) continue;\n\t\tconst [modelId, deploymentName] = trimmed.split(\"=\", 2);\n\t\tif (!modelId || !deploymentName) continue;\n\t\tmap.set(modelId.trim(), deploymentName.trim());\n\t}\n\treturn map;\n}\n\nfunction resolveDeploymentName(model: Model<\"azure-openai-responses\">, options?: AzureOpenAIResponsesOptions): string {\n\tif (options?.azureDeploymentName) {\n\t\treturn options.azureDeploymentName;\n\t}\n\tconst mappedDeployment = parseDeploymentNameMap(process.env.AZURE_OPENAI_DEPLOYMENT_NAME_MAP).get(model.id);\n\treturn mappedDeployment || model.id;\n}\n\n// Azure OpenAI Responses-specific options\nexport interface AzureOpenAIResponsesOptions extends StreamOptions {\n\treasoningEffort?: \"minimal\" | \"low\" | \"medium\" | \"high\" | \"xhigh\";\n\treasoningSummary?: \"auto\" | \"detailed\" | \"concise\" | null;\n\tazureApiVersion?: string;\n\tazureResourceName?: string;\n\tazureBaseUrl?: string;\n\tazureDeploymentName?: string;\n}\n\n/**\n * Generate function for Azure OpenAI Responses API\n */\nexport const streamAzureOpenAIResponses: StreamFunction<\"azure-openai-responses\", AzureOpenAIResponsesOptions> = (\n\tmodel: Model<\"azure-openai-responses\">,\n\tcontext: Context,\n\toptions?: AzureOpenAIResponsesOptions,\n): AssistantMessageEventStream => {\n\tconst stream = new AssistantMessageEventStream();\n\n\t// Start async processing\n\t(async () => {\n\t\tconst deploymentName = resolveDeploymentName(model, options);\n\n\t\tconst output: AssistantMessage = {\n\t\t\trole: \"assistant\",\n\t\t\tcontent: [],\n\t\t\tapi: \"azure-openai-responses\" as Api,\n\t\t\tprovider: model.provider,\n\t\t\tmodel: model.id,\n\t\t\tusage: {\n\t\t\t\tinput: 0,\n\t\t\t\toutput: 0,\n\t\t\t\tcacheRead: 0,\n\t\t\t\tcacheWrite: 0,\n\t\t\t\ttotalTokens: 0,\n\t\t\t\tcost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },\n\t\t\t},\n\t\t\tstopReason: \"stop\",\n\t\t\ttimestamp: Date.now(),\n\t\t};\n\n\t\ttry {\n\t\t\t// Create Azure OpenAI client\n\t\t\tconst apiKey = options?.apiKey || getEnvApiKey(model.provider) || \"\";\n\t\t\tconst client = createClient(model, apiKey, options);\n\t\t\tlet params = buildParams(model, context, options, deploymentName);\n\t\t\tconst nextParams = await options?.onPayload?.(params, model);\n\t\t\tif (nextParams !== undefined) {\n\t\t\t\tparams = nextParams as ResponseCreateParamsStreaming;\n\t\t\t}\n\t\t\tconst openaiStream = await client.responses.create(\n\t\t\t\tparams,\n\t\t\t\toptions?.signal ? { signal: options.signal } : undefined,\n\t\t\t);\n\t\t\tstream.push({ type: \"start\", partial: output });\n\n\t\t\tawait processResponsesStream(openaiStream, output, stream, model);\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) delete (block as { index?: number }).index;\n\t\t\toutput.stopReason = options?.signal?.aborted ? \"aborted\" : \"error\";\n\t\t\toutput.errorMessage = error instanceof Error ? error.message : JSON.stringify(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\nexport const streamSimpleAzureOpenAIResponses: StreamFunction<\"azure-openai-responses\", SimpleStreamOptions> = (\n\tmodel: Model<\"azure-openai-responses\">,\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: ${model.provider}`);\n\t}\n\n\tconst base = buildBaseOptions(model, options, apiKey);\n\tconst reasoningEffort = supportsXhigh(model) ? options?.reasoning : clampReasoning(options?.reasoning);\n\n\treturn streamAzureOpenAIResponses(model, context, {\n\t\t...base,\n\t\treasoningEffort,\n\t} satisfies AzureOpenAIResponsesOptions);\n};\n\nfunction normalizeAzureBaseUrl(baseUrl: string): string {\n\treturn baseUrl.replace(/\\/+$/, \"\");\n}\n\nfunction buildDefaultBaseUrl(resourceName: string): string {\n\treturn `https://${resourceName}.openai.azure.com/openai/v1`;\n}\n\nfunction resolveAzureConfig(\n\tmodel: Model<\"azure-openai-responses\">,\n\toptions?: AzureOpenAIResponsesOptions,\n): { baseUrl: string; apiVersion: string } {\n\tconst apiVersion = options?.azureApiVersion || process.env.AZURE_OPENAI_API_VERSION || DEFAULT_AZURE_API_VERSION;\n\n\tconst baseUrl = options?.azureBaseUrl?.trim() || process.env.AZURE_OPENAI_BASE_URL?.trim() || undefined;\n\tconst resourceName = options?.azureResourceName || process.env.AZURE_OPENAI_RESOURCE_NAME;\n\n\tlet resolvedBaseUrl = baseUrl;\n\n\tif (!resolvedBaseUrl && resourceName) {\n\t\tresolvedBaseUrl = buildDefaultBaseUrl(resourceName);\n\t}\n\n\tif (!resolvedBaseUrl && model.baseUrl) {\n\t\tresolvedBaseUrl = model.baseUrl;\n\t}\n\n\tif (!resolvedBaseUrl) {\n\t\tthrow new Error(\n\t\t\t\"Azure OpenAI base URL is required. Set AZURE_OPENAI_BASE_URL or AZURE_OPENAI_RESOURCE_NAME, or pass azureBaseUrl, azureResourceName, or model.baseUrl.\",\n\t\t);\n\t}\n\n\treturn {\n\t\tbaseUrl: normalizeAzureBaseUrl(resolvedBaseUrl),\n\t\tapiVersion,\n\t};\n}\n\nfunction createClient(model: Model<\"azure-openai-responses\">, apiKey: string, options?: AzureOpenAIResponsesOptions) {\n\tif (!apiKey) {\n\t\tif (!process.env.AZURE_OPENAI_API_KEY) {\n\t\t\tthrow new Error(\n\t\t\t\t\"Azure OpenAI API key is required. Set AZURE_OPENAI_API_KEY environment variable or pass it as an argument.\",\n\t\t\t);\n\t\t}\n\t\tapiKey = process.env.AZURE_OPENAI_API_KEY;\n\t}\n\n\tconst headers = { ...model.headers };\n\n\tif (options?.headers) {\n\t\tObject.assign(headers, options.headers);\n\t}\n\n\tconst { baseUrl, apiVersion } = resolveAzureConfig(model, options);\n\n\treturn new AzureOpenAI({\n\t\tapiKey,\n\t\tapiVersion,\n\t\tdangerouslyAllowBrowser: true,\n\t\tdefaultHeaders: headers,\n\t\tbaseURL: baseUrl,\n\t});\n}\n\nfunction buildParams(\n\tmodel: Model<\"azure-openai-responses\">,\n\tcontext: Context,\n\toptions: AzureOpenAIResponsesOptions | undefined,\n\tdeploymentName: string,\n) {\n\tconst messages = convertResponsesMessages(model, context, AZURE_TOOL_CALL_PROVIDERS);\n\n\tconst params: ResponseCreateParamsStreaming = {\n\t\tmodel: deploymentName,\n\t\tinput: messages,\n\t\tstream: true,\n\t\tprompt_cache_key: options?.sessionId,\n\t};\n\n\tif (options?.maxTokens) {\n\t\tparams.max_output_tokens = options?.maxTokens;\n\t}\n\n\tif (options?.temperature !== undefined) {\n\t\tparams.temperature = options?.temperature;\n\t}\n\n\tif (context.tools) {\n\t\tparams.tools = convertResponsesTools(context.tools);\n\t}\n\n\tif (model.reasoning) {\n\t\tif (options?.reasoningEffort || options?.reasoningSummary) {\n\t\t\tparams.reasoning = {\n\t\t\t\teffort: options?.reasoningEffort || \"medium\",\n\t\t\t\tsummary: options?.reasoningSummary || \"auto\",\n\t\t\t};\n\t\t\tparams.include = [\"reasoning.encrypted_content\"];\n\t\t} else {\n\t\t\tif (model.name.toLowerCase().startsWith(\"gpt-5\")) {\n\t\t\t\t// Jesus Christ, see https://community.openai.com/t/need-reasoning-false-option-for-gpt-5/1351588/7\n\t\t\t\tmessages.push({\n\t\t\t\t\trole: \"developer\",\n\t\t\t\t\tcontent: [\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\ttype: \"input_text\",\n\t\t\t\t\t\t\ttext: \"# Juice: 0 !important\",\n\t\t\t\t\t\t},\n\t\t\t\t\t],\n\t\t\t\t});\n\t\t\t}\n\t\t}\n\t}\n\n\treturn params;\n}\n"]}