openapi: 3.1.0 info: title: Mistral AI Agents API description: >- Agent completions API for building AI agents that can handle complex tasks, maintain context, coordinate multiple actions, and use tools including function calling. Agents are created and configured via the Mistral platform and invoked through this API. version: '1.0' contact: name: Mistral AI Support url: https://docs.mistral.ai/ email: support@mistral.ai termsOfService: https://mistral.ai/terms/ externalDocs: description: Mistral AI Agents API Documentation url: https://docs.mistral.ai/api/endpoint/agents servers: - url: https://api.mistral.ai/v1 description: Mistral AI Production tags: - name: Agents description: Agent completion operations security: - bearerAuth: [] paths: /agents/completions: post: operationId: createAgentCompletion summary: Mistral AI Create an agent completion description: >- Generate a response from a configured agent. The agent is identified by its agent_id and can use tools, maintain conversation context, and follow custom instructions defined in the platform. tags: - Agents requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/AgentCompletionRequest' responses: '200': description: Agent completion response content: application/json: schema: $ref: '#/components/schemas/AgentCompletionResponse' text/event-stream: schema: $ref: '#/components/schemas/AgentCompletionStreamResponse' '400': description: Bad request '401': description: Unauthorized '404': description: Agent not found '429': description: Rate limit exceeded components: securitySchemes: bearerAuth: type: http scheme: bearer description: Mistral AI API key passed as a Bearer token schemas: AgentCompletionRequest: type: object required: - agent_id - messages properties: agent_id: type: string description: The ID of the agent to use, created on the Mistral platform messages: type: array description: List of messages comprising the conversation items: $ref: '#/components/schemas/Message' max_tokens: type: integer minimum: 1 description: Maximum number of tokens to generate stream: type: boolean default: false description: Whether to stream partial message deltas stop: oneOf: - type: string - type: array items: type: string description: Stop sequences random_seed: type: integer description: Random seed for deterministic generation response_format: type: object properties: type: type: string enum: - text - json_object tool_choice: type: string enum: - auto - none - any default: auto description: Controls how the agent uses tools Message: type: object required: - role - content properties: role: type: string enum: - system - user - assistant - tool content: oneOf: - type: string - type: array items: type: object tool_calls: type: array items: $ref: '#/components/schemas/ToolCall' tool_call_id: type: string ToolCall: type: object properties: id: type: string type: type: string enum: - function function: type: object properties: name: type: string arguments: type: string AgentCompletionResponse: type: object properties: id: type: string object: type: string enum: - chat.completion created: type: integer model: type: string choices: type: array items: $ref: '#/components/schemas/Choice' usage: $ref: '#/components/schemas/Usage' AgentCompletionStreamResponse: type: object properties: id: type: string object: type: string enum: - chat.completion.chunk created: type: integer model: type: string choices: type: array items: type: object properties: index: type: integer delta: $ref: '#/components/schemas/Message' finish_reason: type: - string - 'null' Choice: type: object properties: index: type: integer message: $ref: '#/components/schemas/Message' finish_reason: type: string enum: - stop - length - tool_calls - model_length Usage: type: object properties: prompt_tokens: type: integer completion_tokens: type: integer total_tokens: type: integer