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TextLayer Core API

TextLayer Core provides a comprehensive API for building AI-powered applications. This API reference documents the available endpoints, request formats, and response structures.

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API Overview

TextLayer Core’s API follows RESTful principles and is designed to be easy to integrate with any application. The API enables you to:
  • Send messages to LLMs through chat endpoints
  • Receive streaming responses for real-time interactions
  • Check system health and status
  • Retrieve available models

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Available Endpoints

TextLayer Core provides several endpoints for different functionalities. For detailed information about specific endpoints and their request/response formats, explore the individual endpoint documentation in this section.

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Message Format

When sending messages to the chat endpoints, use the following format: 
{
  "messages": [
    {
      "role": "user",
      "content": "Your message here"
    }
  ]
}
The API supports different message roles:
  • user: Messages from the end user
  • assistant: Messages from the AI assistant
  • system: System instructions that guide the assistant’s behavior

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Response Format

All TextLayer Core API responses follow a consistent format: 
{
  "status": 200,
  "payload": {
    // Response data specific to the endpoint
  },
  "correlation_id": "123e4567-e89b-12d3-a456-426614174000"
}
The response contains:
  • status: HTTP status code (e.g., 200 for success, 400 for bad request)
  • payload: The actual response data, which varies by endpoint
  • correlation_id: A unique identifier for tracking the request

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Error Responses

Error responses maintain the same structure but with appropriate status codes: 
{
  "status": 400,
  "payload": {
    "message": "Failed to validate schema"
  },
  "correlation_id": "123e4567-e89b-12d3-a456-426614174000"
}

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Streaming Responses

Streaming responses use the text/event-stream format with chunked content. The API supports both Server-Sent Events (SSE) and Vercel AI SDK streaming protocols based on the Accept header.