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itemId'),\n  })\n  .passthrough();\n\nconst responseTextFormatJsonObjectSchema = z.object({\n  type: z.literal('json_object').describe('Requests JSON object output compatibility for the response'),\n});\n\nconst responseTextFormatJsonSchemaSchema = z.object({\n  type: z.literal('json_schema'),\n  name: z.string(),\n  description: z.string().optional(),\n  schema: z.record(z.string(), z.unknown()),\n  strict: z.boolean().optional(),\n});\n\nexport const responseTextFormatSchema = z.union([\n  responseTextFormatJsonObjectSchema,\n  responseTextFormatJsonSchemaSchema,\n]);\n\nexport type ResponseTextFormat = z.infer<typeof responseTextFormatSchema>;\n\nconst responseTextSchema = z.object({\n  format: responseTextFormatSchema,\n});\n\nexport type ResponseTextConfig = z.infer<typeof responseTextSchema>;\n\nexport const createResponseBodySchema = z\n  .object({\n    model: z\n      .string()\n      .optional()\n      .describe(\n        'Optional model identifier override, such as openai/gpt-5. When omitted, the agent default model is used.',\n      ),\n    agent_id: z\n      .string()\n      .min(1)\n      .optional()\n      .describe('Mastra agent ID for the request. Required unless previous_response_id is provided.'),\n    input: z.union([z.string(), z.array(responseInputMessageSchema)]),\n    instructions: z.string().optional(),\n    text: responseTextSchema\n      .optional()\n      .describe(\n        'Optional text output format. Supports `json_object` for JSON mode and `json_schema` for schema-constrained structured output.',\n      ),\n    conversation_id: z.string().optional().describe('Optional conversation ID. In Mastra this is the raw threadId.'),\n    providerOptions: providerOptionsSchema\n      .optional()\n      .describe('Optional provider-specific options passed through to the underlying model call'),\n    stream: z.boolean().optional().default(false),\n    store: z.boolean().optional().default(false),\n    previous_response_id: z.string().min(1).optional(),\n  })\n  .passthrough()\n  .refine(data => data.agent_id || data.previous_response_id, {\n    message: 'agent_id is required unless previous_response_id is provided',\n    path: [],\n  });\n\nexport type CreateResponseBody = z.infer<typeof createResponseBodySchema>;\n\nexport const responseOutputTextSchema = z.object({\n  type: z.literal('output_text'),\n  text: z.string(),\n  annotations: z.array(z.unknown()).optional(),\n  logprobs: z.array(z.unknown()).optional(),\n});\n\nexport const responseInputTextContentSchema = z.object({\n  type: z.literal('input_text'),\n  text: z.string(),\n});\n\nexport const conversationMessageContentSchema = z.union([responseInputTextContentSchema, responseOutputTextSchema]);\n\nexport const responseOutputMessageSchema = z.object({\n  id: z.string(),\n  type: z.literal('message'),\n  role: z.literal('assistant'),\n  status: z.enum(['in_progress', 'completed', 'incomplete']),\n  content: z.array(responseOutputTextSchema),\n});\n\nexport const responseOutputFunctionCallSchema = z.object({\n  id: z.string(),\n  type: z.literal('function_call'),\n  call_id: z.string(),\n  name: z.string(),\n  arguments: z.string(),\n  status: z.enum(['in_progress', 'completed', 'incomplete']).optional(),\n});\n\nexport const responseOutputFunctionCallOutputSchema = z.object({\n  id: z.string(),\n  type: z.literal('function_call_output'),\n  call_id: z.string(),\n  output: z.string(),\n});\n\nexport const responseUsageSchema = z.object({\n  input_tokens: z.number(),\n  output_tokens: z.number(),\n  total_tokens: z.number(),\n  input_tokens_details: z\n    .object({\n      cached_tokens: z.number(),\n    })\n    .optional(),\n  output_tokens_details: z\n    .object({\n      reasoning_tokens: z.number(),\n    })\n    .optional(),\n});\n\nexport type ResponseUsage = z.infer<typeof responseUsageSchema>;\n\nexport const responseToolSchema = z.object({\n  type: z.literal('function'),\n  name: z.string(),\n  description: z.string().optional(),\n  parameters: z.unknown().optional(),\n});\n\nexport type ResponseTool = z.infer<typeof responseToolSchema>;\n\nexport const responseOutputItemSchema = z.union([\n  responseOutputMessageSchema,\n  responseOutputFunctionCallSchema,\n  responseOutputFunctionCallOutputSchema,\n]);\n\nexport type ResponseOutputItem = z.infer<typeof responseOutputItemSchema>;\n\nexport const conversationItemMessageSchema = z.object({\n  id: z.string(),\n  type: z.literal('message'),\n  role: z.enum(['system', 'user', 'assistant']),\n  status: z.literal('completed'),\n  content: z.array(conversationMessageContentSchema),\n});\n\nexport const conversationItemSchema = z.union([\n  conversationItemMessageSchema,\n  responseOutputFunctionCallSchema,\n  responseOutputFunctionCallOutputSchema,\n]);\n\nexport type ConversationItem = z.infer<typeof conversationItemSchema>;\n\nexport const responseObjectSchema = z.object({\n  id: z.string(),\n  object: z.literal('response'),\n  created_at: z.number(),\n  completed_at: z.number().nullable(),\n  model: z.string(),\n  status: z.enum(['in_progress', 'completed', 'incomplete']),\n  output: z.array(responseOutputItemSchema),\n  usage: responseUsageSchema.nullable(),\n  error: z.null().optional(),\n  incomplete_details: z.null().optional(),\n  instructions: z.string().nullable().optional(),\n  text: responseTextSchema.nullable().optional(),\n  previous_response_id: z.string().nullable().optional(),\n  conversation_id: z.string().nullable().optional(),\n  providerOptions: providerOptionsSchema.optional(),\n  tools: z.array(responseToolSchema).optional(),\n  store: z.boolean().optional(),\n});\n\nexport type ResponseObject = z.infer<typeof responseObjectSchema>;\n\nexport const deleteResponseSchema = z.object({\n  id: z.string(),\n  object: z.literal('response'),\n  deleted: z.literal(true),\n});\n\nexport type DeleteResponse = z.infer<typeof deleteResponseSchema>;\n"]}