Voyant.io

Voyant.io Chat API

Brand-aware AI chat

Documentation GitHub OpenAPI

Operations 1

POST /api/chat AI Chat #

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OpenAPI Specification

openapi: 3.2.0
info:
  title: Gypsum Context Chat API
  description: '## Brand Context Management API


    Gypsum provides the messaging framework, personas, positioning, and brand context for VoyantIO integrations.


    ### Core Capabilities


    - **Context Endpoints** - Retrieve brand messaging, personas, products, use cases, and positioning

    - **ICP Management** - Ideal Customer Profile CRUD operations

    - **Campaign Management** - Marketing campaign tracking

    - **AI Chat** - Brand-aware conversational AI


    ### Authentication


    Most endpoints require `user_id` query parameter (Clerk organization ID).

    Demo access is available for testing.


    ### Base URL


    Production: `https://gypsum.voyant.io`

    Local: `http://localhost:3001`'
  version: 1.0.0
  contact:
    name: VoyantIO
    url: https://voyant.io
servers:
- url: https://gypsum.voyant.io
  description: Production
- url: http://localhost:3001
  description: Local development
tags:
- name: chat
  description: Brand-aware AI chat
paths:
  /api/chat:
    post:
      tags:
      - chat
      summary: AI Chat
      description: Send a message to the brand-aware AI assistant. The assistant has access to Voyant.io context and can answer questions about the platform.
      operationId: chat
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/ChatRequest'
      responses:
        '200':
          description: Chat response
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ChatResponse'
        '400':
          description: Invalid request
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/Error'
        '429':
          description: Rate limited
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/Error'
components:
  schemas:
    ChatRequest:
      type: object
      required:
      - message
      properties:
        message:
          type: string
          maxLength: 2000
          description: User message
        conversationHistory:
          type: array
          maxItems: 20
          items:
            type: object
            properties:
              type:
                type: string
                enum:
                - user
                - assistant
              content:
                type: string
        persona:
          type: string
          description: Visitor persona for tailored responses
        organization_id:
          type: string
    ChatResponse:
      type: object
      properties:
        success:
          type: boolean
        response:
          type: string
        usage:
          type: object
          properties:
            input_tokens:
              type: integer
            output_tokens:
              type: integer
    Error:
      type: object
      properties:
        error:
          type: string
        message:
          type: string