PromptLayer Logging & Tracking API

openapi: 3.0.1
info:
  title: PromptLayer Evaluations & Datasets Logging & Tracking API
  description: 'REST API for PromptLayer, a prompt engineering, prompt management, and LLM observability platform. The API logs and tracks LLM requests, manages a versioned prompt registry with release labels, ingests OpenTelemetry-style spans and traces, and runs evaluations against datasets. All requests are authenticated with an `X-API-KEY` header. Note: some legacy tracking endpoints are served under the `/rest` path prefix while newer endpoints are served at the API root.'
  termsOfService: https://www.promptlayer.com/terms-of-service
  contact:
    name: PromptLayer Support
    email: hello@promptlayer.com
  version: '1.0'
servers:
- url: https://api.promptlayer.com
security:
- ApiKeyAuth: []
tags:
- name: Logging & Tracking
  description: Log and track LLM requests, scores, and metadata.
paths:
  /log-request:
    post:
      operationId: logRequest
      tags:
      - Logging & Tracking
      summary: Log an LLM request
      description: Logs a provider-agnostic LLM request to PromptLayer using the Prompt Blueprint format for input and output, including timing, parameters, token usage, price, tags, and metadata.
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/LogRequest'
      responses:
        '201':
          description: Request logged
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/LogRequestResponse'
        '401':
          description: Unauthorized
        '422':
          description: Validation error
  /rest/track-prompt:
    post:
      operationId: trackPrompt
      tags:
      - Logging & Tracking
      summary: Associate a prompt template with a logged request
      description: Associates a prompt template (by name, with optional version or release label) and its input variables with a previously logged PromptLayer request.
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/TrackPromptRequest'
      responses:
        '200':
          description: Prompt tracked
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/SuccessMessage'
        '400':
          description: Bad request
        '401':
          description: Unauthorized
        '422':
          description: Validation error
  /rest/track-score:
    post:
      operationId: trackScore
      tags:
      - Logging & Tracking
      summary: Attach a score to a logged request
      description: Attaches a 0-100 integer score, optionally named, to a logged request.
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/TrackScoreRequest'
      responses:
        '200':
          description: Score tracked
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/SuccessMessage'
        '400':
          description: Bad request
        '401':
          description: Unauthorized
        '422':
          description: Validation error
  /rest/track-metadata:
    post:
      operationId: trackMetadata
      tags:
      - Logging & Tracking
      summary: Attach metadata to a logged request
      description: Attaches a custom key-value metadata dictionary to a logged request.
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/TrackMetadataRequest'
      responses:
        '200':
          description: Metadata tracked
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/SuccessMessage'
        '401':
          description: Unauthorized
        '422':
          description: Validation error
components:
  schemas:
    PromptBlueprint:
      type: object
      description: Prompt Blueprint payload, either a chat prompt (messages array) or a completion prompt (content string). Provider-agnostic representation.
      additionalProperties: true
    SuccessMessage:
      type: object
      properties:
        success:
          type: boolean
        message:
          type: string
    TrackScoreRequest:
      type: object
      required:
      - request_id
      - score
      properties:
        request_id:
          type: integer
        score:
          type: integer
          minimum: 0
          maximum: 100
        name:
          type: string
          default: default
    LogRequestResponse:
      type: object
      properties:
        id:
          type: integer
        prompt_version:
          type: object
          nullable: true
          additionalProperties: true
        status:
          type: string
          enum:
          - SUCCESS
          - WARNING
          - ERROR
        error_type:
          type: string
          nullable: true
        error_message:
          type: string
          nullable: true
    TrackMetadataRequest:
      type: object
      required:
      - request_id
      - metadata
      properties:
        request_id:
          oneOf:
          - type: integer
          - type: string
        metadata:
          type: object
          additionalProperties: true
    LogRequest:
      type: object
      required:
      - provider
      - model
      - input
      - output
      - request_start_time
      - request_end_time
      properties:
        provider:
          type: string
          description: LLM provider name (e.g., openai, anthropic).
        model:
          type: string
          description: Model identifier.
        input:
          $ref: '#/components/schemas/PromptBlueprint'
        output:
          $ref: '#/components/schemas/PromptBlueprint'
        request_start_time:
          type: string
          format: date-time
        request_end_time:
          type: string
          format: date-time
        api_type:
          type: string
          description: API endpoint type (e.g., chat-completions).
        parameters:
          type: object
          additionalProperties: true
          description: Model parameters such as temperature and max_tokens.
        tags:
          type: array
          items:
            type: string
        metadata:
          type: object
          additionalProperties:
            type: string
        status:
          type: string
          enum:
          - SUCCESS
          - WARNING
          - ERROR
          default: SUCCESS
        error_type:
          type: string
        error_message:
          type: string
          maxLength: 1024
        input_tokens:
          type: integer
        output_tokens:
          type: integer
        price:
          type: number
        score:
          type: integer
          minimum: 0
          maximum: 100
    TrackPromptRequest:
      type: object
      required:
      - prompt_name
      - request_id
      properties:
        prompt_name:
          type: string
        request_id:
          oneOf:
          - type: integer
          - type: string
        prompt_input_variables:
          type: object
          additionalProperties: true
        version:
          oneOf:
          - type: integer
          - type: string
          nullable: true
        label:
          type: string
  securitySchemes:
    ApiKeyAuth:
      type: apiKey
      in: header
      name: X-API-KEY