LangWatch Datasets API

The Datasets API from LangWatch — 1 operation(s) for datasets.

Operations 1

POST /api/v1/dataset/evaluate Evaluate a dataset #

Documentation

Specifications

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OpenAPI Specification

langwatch-datasets-api-openapi.yml Raw ↑
openapi: 3.2.0
info:
  title: LangWatch Datasets API
  description: LangWatch openapi spec
  version: 1.0.0
servers:
- url: https://app.langwatch.ai
security:
- project_api_key: []
tags:
- name: Datasets
paths:
  /api/v1/dataset/evaluate:
    post:
      operationId: postApiDatasetEvaluate
      responses:
        '200':
          description: The evaluator ran; branch on `status`
          content:
            application/json:
              schema:
                anyOf:
                - type: object
                  properties:
                    status:
                      type: string
                      const: processed
                    score:
                      type: number
                    passed:
                      type: boolean
                    label:
                      type: string
                    details:
                      type: string
                    cost:
                      description: What running the evaluator cost
                      type: object
                      properties:
                        currency:
                          type: string
                        amount:
                          type: number
                      required:
                      - currency
                      - amount
                    raw_response:
                      description: The evaluator's own output, unprocessed
                  required:
                  - status
                - type: object
                  properties:
                    status:
                      type: string
                      const: skipped
                    details:
                      description: Why the evaluator declined to score this input
                      type: string
                    cost:
                      description: What the attempt cost, when the evaluator spent money before declining to score
                      type: object
                      properties:
                        currency:
                          type: string
                        amount:
                          type: number
                      required:
                      - currency
                      - amount
                    passed:
                      description: Always true in guardrail mode, so a skip does not block
                      type: boolean
                  required:
                  - status
                - type: object
                  properties:
                    status:
                      type: string
                      const: error
                    error_type:
                      type: string
                      const: EVALUATOR_ERROR
                      description: 'Constant: the evaluator''s own type is not exposed'
                    details:
                      type: string
                    passed:
                      description: Always true in guardrail mode, so a failure does not block
                      type: boolean
                  required:
                  - status
                  - error_type
                  - details
        '400':
          description: The body was not valid JSON, failed validation, or named an evaluator that does not exist
          content:
            application/json:
              schema:
                type: object
                properties:
                  message:
                    description: Set when the request was rejected before validation
                    type: string
                  error:
                    description: Set when the body parsed and then failed validation
                    type: string
        '401':
          description: Missing or invalid API key
          content:
            application/json:
              schema:
                type: object
                properties:
                  message:
                    description: Set when the request was rejected before validation
                    type: string
                  error:
                    description: Set when the body parsed and then failed validation
                    type: string
        '403':
          description: The API key lacks evaluations:manage
          content:
            application/json:
              schema:
                type: object
                properties:
                  error:
                    type: string
                    description: The failure, as a sentence
                  kind:
                    description: Stable failure code, on the failures that carry one
                    type: string
                  meta:
                    description: What the code needs to be acted on, such as the missing field
                    type: object
                    propertyNames:
                      type: string
                    additionalProperties: {}
                required:
                - error
        '404':
          description: No dataset with that slug
          content:
            application/json:
              schema:
                type: object
                properties:
                  error:
                    type: string
                    description: The failure, as a sentence
                  kind:
                    description: Stable failure code, on the failures that carry one
                    type: string
                  meta:
                    description: What the code needs to be acted on, such as the missing field
                    type: object
                    propertyNames:
                      type: string
                    additionalProperties: {}
                required:
                - error
        '413':
          description: The body is larger than 30MB; refused before it is read with the `payload_too_large` HandledError
          content: {}
      description: Run one evaluator across a saved dataset and record the result against an experiment. Name the dataset by slug and the evaluator the same way the evaluate endpoints do; results are grouped under `experimentSlug`, or under a generated batch id when you omit it. Bodies up to 30MB are accepted.
      summary: Evaluate a dataset
      tags:
      - Datasets
      requestBody:
        required: true
        content:
          application/json:
            schema:
              type: object
              properties:
                evaluation:
                  type: string
                  description: Which evaluator to run, addressed the same way the evaluate endpoints address it
                experimentSlug:
                  description: Groups the results under an experiment. Omit it and a batch id is generated instead.
                  type: string
                batchId:
                  description: Older name for experimentSlug, used when that is absent
                  type: string
                datasetSlug:
                  type: string
                  description: The saved dataset to evaluate
                data:
                  anyOf:
                  - type: object
                    properties: {}
                    additionalProperties: {}
                  - type: 'null'
                  description: Extra fields merged into every row before evaluating
                settings:
                  anyOf:
                  - type: object
                    properties: {}
                    additionalProperties: {}
                  - type: 'null'
                  description: Per-call overrides of the evaluator's settings
              required:
              - evaluation
              - datasetSlug
      security:
      - project_api_key: []
      x-access-policy:
        kind: handlerManaged
        credential:
        - project_api_key
        permissions:
        - evaluations:manage
components:
  securitySchemes:
    project_api_key:
      type: apiKey
      in: header
      name: X-Auth-Token
      description: 'Project API key for sending traces and accessing project-scoped resources. Format: sk-lw-... (no underscore). Obtain one by creating a project via the Admin API or the LangWatch UI.'
    admin_api_key:
      type: http
      scheme: bearer
      description: 'Admin API key for organization-level operations (managing projects, API keys). Create one in Settings > API Keys or via POST /api/api-keys. Format: sk-lw-{id}_{secret}.'
    scim_bearer:
      type: http
      scheme: bearer
      description: SCIM token for one organization's directory connection, created with POST /api/scim-tokens or in Settings > SCIM. It authenticates provisioning calls only, and stops working if the organization's Enterprise plan lapses.
    cli_access_token:
      type: http
      scheme: bearer
      description: The device session the LangWatch CLI holds after `langwatch login`. It acts as the person who signed in, in the organization they chose, and expires unless the CLI refreshes it.
    instance_admin_key:
      type: http
      scheme: bearer
      description: Instance administrator key, set as LANGWATCH_INSTANCE_ADMIN_API_KEY on a self-hosted deployment. It exists to create the first organization, before any organization key does; every other management API takes an organization key instead.
    internal_secret:
      type: http
      scheme: bearer
      description: The deployment's own shared secret, presented by another LangWatch service rather than by a customer. The families behind it are ingress-blocked; they are described so a self-hosted operator can see what the deployment talks to itself about.
x-provenance:
  method: harvested
  publisher: LangWatch
  source: https://app.langwatch.ai/api/openapi.json
  note: split by refine-openapis from the provider's own published document, verified by fetch (openapi/_original/*.fetch.json);
    stamped by stamp-openapi-provenance.py (roadmap#793)