> ## Documentation Index
> Fetch the complete documentation index at: https://docs.starleads.co/llms.txt
> Use this file to discover all available pages before exploring further.

# Get a simulation chat

> Returns the messages exchanged so far. The agent is only returned by SimulationChat/start (`agent` is null here). A chat is forgotten after 30 minutes of inactivity.



## OpenAPI

````yaml GET /SimulationChat/{simulationChatId}
openapi: 3.0.1
info:
  title: Starleads public API documentation
  description: >
    Welcome to the Starleads Public API documentation. This API provides public
    access to Starleads services, allowing developers and growth-hackers to
    interact with campaign-related data.

    ***

    ### Base endpoint

    ```https://api.starleads.co```

    ***

    ### Errors

    The API uses standard HTTP status codes to indicate the success or failure
    of the API call. In case of failure, the body of the response will be JSON
    in the following format:

    ```

    {
      "type": "https://tools.ietf.org/html/rfc7231#section-6.5.1",
      "title": "Bad Request",
      "status": 400,
      "detail": "No campaign exists with campaignId : 11111111"
    }

    ```

    The ```type``` property is a link to a general description of the error
    type.

    ***

    ### Authentification

    Authentication for the API is handled with an API key that must be provided
    as a ```X-Api-Key``` header for every request.<br>

    **API keys are supposed to be a secret that only the client and server know.
    Please remember to not share them with anyone.**<br>

    You can find your API keys when authenticated in your Starleads profile
    :<br> ![Api key menu option](../images/api-menu-option-screenshot.png)
  version: v1
  x-logo:
    url: https://api.starleads.co/images/starleads-logo.png
servers: []
security: []
tags:
  - name: Agent
    description: >-
      Manage your AI agent's prompt. These endpoints allow you to read and
      update the prompt that drives your agent's behavior during calls.
  - name: CampaignField
    description: >-
      CampaignFields enables users to specify customizable fields within their
      campaigns. These fields serve as placeholders (e.g., ```{lastname}```)
      that can be dynamically filled with corresponding data when creating
      prompts, providing flexibility in tailoring campaign content based on
      specific variables.<br>**Those are the keys of the ```databag``` field of
      the request payload to add a new ```CampaignItem``` to a campaign.**
  - name: CampaignItem
    description: Represents prospects entries related to a campaign
  - name: Consumption
    description: >-
      Track your company's credit consumption. These endpoints expose your
      current balance, usage and billing period so you can build budget
      monitoring on top of the API.
  - name: Subscription
    description: >-
      Inspect your subscription contract: the plan you are on, your subscription
      status, the features currently active and your effective limits. No
      pricing information is exposed.
  - name: AgentTest
    description: >-
      Tests of your agents: simulation tests (a simulated user talks to the
      agent and each success criterion is judged) and classification tests (the
      agent must produce the expected tag for a conversation). A test belongs to
      one agent.
  - name: AgentTestExecution
    description: >-
      Executions of agent tests: launching a set of tests, following their
      progress and cancelling them. One execution groups the runs created
      together for a list of tests, each repeated up to 5 times.
  - name: AgentTestFolder
    description: >-
      Folders grouping the tests of an agent (flat, with a name, a color and a
      markdown body).
  - name: AgentTestRun
    description: >-
      Runs of agent tests: one run is one attempt of one test inside an
      execution. Results, history and cancellation.
  - name: SimulationChat
    description: >-
      Test an agent through a text chat, exactly as it would behave in a real
      conversation (prompt, fields and connected tools included). Start a chat,
      then exchange messages with the agent.
paths:
  /SimulationChat/{simulationChatId}:
    get:
      tags:
        - SimulationChat
      summary: Get a simulation chat
      description: >-
        Returns the messages exchanged so far. The agent is only returned by
        SimulationChat/start (`agent` is null here). A chat is forgotten after
        30 minutes of inactivity.
      operationId: GetSimulationChat
      parameters:
        - name: X-Api-Key
          in: header
          description: Api key to pass as a ```X-Api-Key``` request header.
          required: true
          schema:
            type: string
        - name: simulationChatId
          in: path
          description: ID of the simulation chat.
          required: true
          schema:
            type: string
      responses:
        '200':
          description: Success
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/SimulationChatResponse'
        '401':
          description: Unauthorized
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ProblemDetails'
        '404':
          description: Not Found
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ProblemDetails'
        '502':
          description: Server Error
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ProblemDetails'
components:
  schemas:
    SimulationChatResponse:
      type: object
      properties:
        simulationChatId:
          type: string
          description: >-
            Identifier of the simulation chat (the conversation id). Pass it to
            SimulationChat/send-message.
          nullable: true
        messages:
          type: array
          items:
            $ref: '#/components/schemas/SimulationChatMessage'
          description: All the messages of the conversation so far, in chronological order
          nullable: true
        agent:
          $ref: '#/components/schemas/PublicAgent'
      additionalProperties: false
      description: >-
        State of a simulation chat, returned by SimulationChat/start and GET
        SimulationChat/{simulationChatId}
    ProblemDetails:
      type: object
      properties:
        type:
          type: string
          nullable: true
        title:
          type: string
          nullable: true
        status:
          type: integer
          format: int32
          nullable: true
        detail:
          type: string
          nullable: true
        instance:
          type: string
          nullable: true
      additionalProperties: {}
    SimulationChatMessage:
      type: object
      properties:
        role:
          type: string
          description: '"assistant" for the agent, "user" for the simulated contact'
          nullable: true
        text:
          type: string
          description: Message text
          nullable: true
        timestamp:
          type: string
          description: Message timestamp
          format: date-time
          nullable: true
        isConversationEnded:
          type: boolean
          description: True when the agent decided to end the conversation
        endReason:
          type: string
          description: Why the conversation ended, when it did
          nullable: true
      additionalProperties: false
      description: A message exchanged in a simulation chat
    PublicAgent:
      type: object
      properties:
        agentId:
          type: string
          description: Agent identifier
          nullable: true
        agentName:
          type: string
          description: Agent name
          nullable: true
        prompt:
          type: string
          description: Prompt of the agent
          nullable: true
        tools:
          type: array
          items:
            $ref: '#/components/schemas/PublicTool'
          description: Tools connected to the agent
          nullable: true
      additionalProperties: false
      description: 'An agent: its name, prompt and connected tools'
    PublicTool:
      type: object
      properties:
        id:
          type: string
          description: Tool identifier
          nullable: true
        name:
          type: string
          description: Human-readable tool name
          nullable: true
        technicalName:
          type: string
          description: Technical name (snake_case) used by the LLM to call the tool
          nullable: true
      additionalProperties: false
      description: A tool connected to an agent

````