Inkeep Analytics API

openapi: 3.0.1
info:
  title: Inkeep AI & Analytics API
  description: >-
    Specification of Inkeep's developer platform REST surface. The AI API is an
    OpenAI-compatible chat completions endpoint that performs retrieval-augmented
    generation (RAG) over your own content. The RAG mode (`inkeep-qa`,
    `inkeep-context`, `inkeep-rag`, `inkeep-base`) is selected via the OpenAI
    `model` field. The Analytics API logs OpenAI-compatible conversations,
    captures end-user feedback, and records custom interaction events for
    reporting in the Inkeep Portal. All endpoints authenticate with a Bearer
    API key issued from the Inkeep dashboard.
  termsOfService: https://inkeep.com/terms
  contact:
    name: Inkeep Support
    email: support@inkeep.com
    url: https://inkeep.com
  version: '1.0'
servers:
  - url: https://api.inkeep.com/v1
    description: Inkeep developer platform base (OpenAI-compatible).
security:
  - bearerAuth: []
tags:
  - name: Chat
    description: OpenAI-compatible RAG chat completions over your content.
  - name: Analytics
    description: Log conversations, feedback, and custom interaction events.
paths:
  /chat/completions:
    post:
      operationId: createChatCompletion
      tags:
        - Chat
      summary: Create a RAG chat completion (OpenAI-compatible).
      description: >-
        OpenAI-compatible chat completions endpoint. The `model` field selects
        the Inkeep RAG mode - `inkeep-qa` (customer-facing support answers),
        `inkeep-context` (flexible RAG with tool calling), `inkeep-rag` (raw
        retrieved content chunks), or `inkeep-base` (fast mode). Set
        `stream: true` to receive the response as Server-Sent Events.
      parameters:
        - name: inkeep-filters
          in: header
          required: false
          description: >-
            Optional JSON object restricting retrieval to specific source IDs.
          schema:
            type: string
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/CreateChatCompletionRequest'
      responses:
        '200':
          description: A chat completion (or an SSE stream when `stream` is true).
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ChatCompletion'
            text/event-stream:
              schema:
                $ref: '#/components/schemas/ChatCompletionChunk'
        '401':
          description: Missing or invalid API key.
        '429':
          description: Rate limit exceeded.
  /conversations:
    post:
      operationId: createConversation
      tags:
        - Analytics
      summary: Log an OpenAI-compatible conversation.
      description: >-
        Logs a complete OpenAI-format conversation (messages plus metadata) to
        the Inkeep Analytics service so it is viewable and reportable in the
        Inkeep Portal.
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/CreateConversationRequest'
      responses:
        '200':
          description: The created conversation.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/Conversation'
        '401':
          description: Missing or invalid API key.
  /conversations/{id}:
    get:
      operationId: getConversation
      tags:
        - Analytics
      summary: Fetch a logged conversation.
      parameters:
        - name: id
          in: path
          required: true
          description: The conversation identifier.
          schema:
            type: string
      responses:
        '200':
          description: The requested conversation.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/Conversation'
        '404':
          description: Conversation not found.
  /feedback:
    post:
      operationId: createFeedback
      tags:
        - Analytics
      summary: Log end-user feedback for a message.
      description: >-
        Records positive or negative end-user feedback on a logged message,
        powering thumbs up / thumbs down style quality signals in the Portal.
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/CreateFeedbackRequest'
      responses:
        '200':
          description: The created feedback record.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/Feedback'
  /events:
    post:
      operationId: logEvent
      tags:
        - Analytics
      summary: Log a custom interaction event.
      description: >-
        Logs a custom user-interaction event such as `answer_copied` or
        `chat_shared` for analytics and reporting.
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/CreateEventRequest'
      responses:
        '200':
          description: The created event record.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/Event'
components:
  securitySchemes:
    bearerAuth:
      type: http
      scheme: bearer
      bearerFormat: Inkeep API key
      description: >-
        Bearer token using an API key created in the Inkeep dashboard under
        Projects > Assistants > Create assistant > API. Set the header
        `Authorization: Bearer <INKEEP_API_KEY>`.
  schemas:
    CreateChatCompletionRequest:
      type: object
      required:
        - model
        - messages
      properties:
        model:
          type: string
          description: >-
            Selects the Inkeep RAG mode. Base modes can take an `-expert`
            suffix for auto model selection or be pinned to a specific LLM.
          enum:
            - inkeep-qa
            - inkeep-qa-expert
            - inkeep-context
            - inkeep-context-expert
            - inkeep-rag
            - inkeep-base
          example: inkeep-qa-expert
        messages:
          type: array
          description: A list of messages in the OpenAI chat format.
          items:
            $ref: '#/components/schemas/ChatMessage'
        stream:
          type: boolean
          default: false
          description: >-
            If true, the response is delivered as Server-Sent Events, each
            data line carrying one `chat.completion.chunk` object, terminated
            by `data: [DONE]`.
        response_format:
          type: object
          description: >-
            For `inkeep-rag`, set `{ "type": "json_object" }` to receive the
            retrieved document chunks as a stringified JSON object.
          properties:
            type:
              type: string
              enum:
                - text
                - json_object
        temperature:
          type: number
          nullable: true
          description: Sampling temperature passed through to the underlying model.
    ChatMessage:
      type: object
      required:
        - role
        - content
      properties:
        role:
          type: string
          enum:
            - system
            - user
            - assistant
            - tool
          description: The role of the message author.
        content:
          type: string
          description: The message content.
    ChatCompletion:
      type: object
      description: An OpenAI-compatible chat completion response.
      required:
        - id
        - object
        - created
        - model
        - choices
      properties:
        id:
          type: string
          description: Unique identifier for the chat completion.
        object:
          type: string
          enum:
            - chat.completion
          description: Object type, always `chat.completion`.
        created:
          type: integer
          description: Unix timestamp (seconds) of creation.
        model:
          type: string
          description: The Inkeep model/mode used.
        choices:
          type: array
          items:
            $ref: '#/components/schemas/ChatCompletionChoice'
        usage:
          $ref: '#/components/schemas/Usage'
    ChatCompletionChoice:
      type: object
      required:
        - index
        - message
        - finish_reason
      properties:
        index:
          type: integer
        message:
          $ref: '#/components/schemas/AssistantMessage'
        finish_reason:
          type: string
          nullable: true
          enum:
            - stop
            - length
            - tool_calls
    AssistantMessage:
      type: object
      required:
        - role
        - content
      properties:
        role:
          type: string
          enum:
            - assistant
        content:
          type: string
          description: >-
            The generated answer. For `inkeep-rag` this is a stringified JSON
            object containing the retrieved document array.
        records_cited:
          type: object
          nullable: true
          description: >-
            Citations - source records referenced in the answer, surfaced for
            QA and context modes.
          properties:
            citations:
              type: array
              items:
                $ref: '#/components/schemas/Citation'
    Citation:
      type: object
      properties:
        record:
          type: object
          description: The cited source record.
          properties:
            type:
              type: string
            url:
              type: string
              nullable: true
            title:
              type: string
              nullable: true
    ChatCompletionChunk:
      type: object
      description: A single streamed chunk of an SSE chat completion response.
      required:
        - id
        - object
        - created
        - model
        - choices
      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:
                type: object
                properties:
                  role:
                    type: string
                  content:
                    type: string
                    nullable: true
              finish_reason:
                type: string
                nullable: true
    Usage:
      type: object
      properties:
        prompt_tokens:
          type: integer
        completion_tokens:
          type: integer
        total_tokens:
          type: integer
    CreateConversationRequest:
      type: object
      required:
        - type
        - messages
      properties:
        type:
          type: string
          description: The conversation type (e.g. `openai`).
          example: openai
        messages:
          type: array
          description: The OpenAI-format messages that make up the conversation.
          items:
            $ref: '#/components/schemas/ChatMessage'
        userProperties:
          type: object
          nullable: true
          description: Optional end-user properties to associate with the conversation.
        properties:
          type: object
          nullable: true
          description: Optional arbitrary metadata for the conversation.
    Conversation:
      type: object
      required:
        - id
      properties:
        id:
          type: string
          description: The conversation identifier.
        type:
          type: string
        createdAt:
          type: string
          format: date-time
        messages:
          type: array
          items:
            $ref: '#/components/schemas/ChatMessage'
    CreateFeedbackRequest:
      type: object
      required:
        - type
        - messageId
      properties:
        type:
          type: string
          description: Feedback polarity.
          enum:
            - positive
            - negative
        messageId:
          type: string
          description: The logged message the feedback applies to.
        reasons:
          type: array
          nullable: true
          description: Optional reason codes for the feedback.
          items:
            type: string
    Feedback:
      type: object
      required:
        - id
        - type
      properties:
        id:
          type: string
        type:
          type: string
        messageId:
          type: string
        createdAt:
          type: string
          format: date-time
    CreateEventRequest:
      type: object
      required:
        - type
      properties:
        type:
          type: string
          description: The custom event type.
          example: answer_copied
        conversationId:
          type: string
          nullable: true
          description: Optional conversation the event is associated with.
        properties:
          type: object
          nullable: true
          description: Optional arbitrary metadata for the event.
    Event:
      type: object
      required:
        - id
        - type
      properties:
        id:
          type: string
        type:
          type: string
        createdAt:
          type: string
          format: date-time