Last Mile AI Pseudo Label Job API

The Pseudo Label Job API from Last Mile AI — 3 operation(s) for pseudo label job.

Operations 3

POST /api/2/auto_eval/pseudo_label_job/create Create Pseudo Label Job #
POST /api/2/auto_eval/pseudo_label_job/submit Submit Pseudo Label Job #
POST /api/2/auto_eval/pseudo_label_job/get_status Get Pseudo Label Job Status #

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OpenAPI Specification

lastmileai-pseudo-label-job-api-openapi.yml Raw ↑
openapi: 3.2.0
info:
  title: Lastmileai Pseudo Label Job API
  version: '2.0'
  description: 'Operations tagged Pseudo Label Job across 2 of this provider''s published API definitions: model.json, lastmileai-openapi.json. Each path carries the servers of the definition it was published in.'
servers:
- url: https://lastmileai.dev
  description: Production server - LastMile AI
security:
- BearerAuth: []
tags:
- name: Pseudo Label Job
paths:
  /api/2/auto_eval/pseudo_label_job/create:
    post:
      tags:
      - Pseudo Label Job
      summary: Create Pseudo Label Job
      operationId: CreatePseudoLabelJob
      description: 'Step 1 of 2: Create a new job configuration for LLM Judge labeling, to be

        subsequently submitted by calling SubmitPseudoLabelJob.'
      security:
      - BearerAuth: []
      requestBody:
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/lmai.proto.webserver.v2.CreatePseudoLabelJobRequest'
      responses:
        '200':
          description: Successful operation
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/lmai.proto.webserver.v2.CreatePseudoLabelJobResponse'
      x-codeSamples:
      - lang: JavaScript
        source: "import Lastmile from 'lastmile';\n\nconst client = new Lastmile({\n  bearerToken: process.env['LASTMILE_API_TOKEN'], // This is the default and can be omitted\n});\n\nasync function main() {\n  const labelDatasetJob = await client.labelDatasetJobs.create({\n    pseudoLabelJobConfig: {\n      baseEvaluationMetric: 'BASE_EVALUATION_METRIC_UNSPECIFIED',\n      datasetId: 'datasetId',\n      promptTemplate: { id: 'id', template: 'template' },\n      selectedColumns: ['string'],\n      skipActiveLabeling: true,\n    },\n  });\n\n  console.log(labelDatasetJob.jobId);\n}\n\nmain();"
      - lang: Python
        source: "import os\nfrom lastmile import Lastmile\n\nclient = Lastmile(\n    bearer_token=os.environ.get(\"LASTMILE_API_TOKEN\"),  # This is the default and can be omitted\n)\nlabel_dataset_job = client.label_dataset_jobs.create(\n    pseudo_label_job_config={\n        \"base_evaluation_metric\": \"BASE_EVALUATION_METRIC_UNSPECIFIED\",\n        \"dataset_id\": \"datasetId\",\n        \"prompt_template\": {\n            \"id\": \"id\",\n            \"template\": \"template\",\n        },\n        \"selected_columns\": [\"string\"],\n        \"skip_active_labeling\": True,\n    },\n)\nprint(label_dataset_job.job_id)"
    servers:
    - url: https://lastmileai.dev
      description: Production server - LastMile AI
  /api/2/auto_eval/pseudo_label_job/submit:
    post:
      tags:
      - Pseudo Label Job
      summary: Submit Pseudo Label Job
      operationId: SubmitPseudoLabelJob
      description: 'Step 2 of 2: Submit the job configuration created by CreatePseudoLabelJob

        to initiate an LLM Judge labeling job.'
      security:
      - BearerAuth: []
      requestBody:
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/lmai.proto.webserver.v2.SubmitPseudoLabelJobRequest'
      responses:
        '200':
          description: Successful operation
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/lmai.proto.webserver.v2.SubmitPseudoLabelJobResponse'
      x-codeSamples:
      - lang: JavaScript
        source: "import Lastmile from 'lastmile';\n\nconst client = new Lastmile({\n  bearerToken: process.env['LASTMILE_API_TOKEN'], // This is the default and can be omitted\n});\n\nasync function main() {\n  const response = await client.labelDatasetJobs.submit({\n    jobId: 'jobId',\n    pseudoLabelJobConfig: {\n      baseEvaluationMetric: 'BASE_EVALUATION_METRIC_UNSPECIFIED',\n      datasetId: 'datasetId',\n      promptTemplate: { id: 'id', template: 'template' },\n      selectedColumns: ['string'],\n      skipActiveLabeling: true,\n    },\n  });\n\n  console.log(response.jobId);\n}\n\nmain();"
      - lang: Python
        source: "import os\nfrom lastmile import Lastmile\n\nclient = Lastmile(\n    bearer_token=os.environ.get(\"LASTMILE_API_TOKEN\"),  # This is the default and can be omitted\n)\nresponse = client.label_dataset_jobs.submit(\n    job_id=\"jobId\",\n    pseudo_label_job_config={\n        \"base_evaluation_metric\": \"BASE_EVALUATION_METRIC_UNSPECIFIED\",\n        \"dataset_id\": \"datasetId\",\n        \"prompt_template\": {\n            \"id\": \"id\",\n            \"template\": \"template\",\n        },\n        \"selected_columns\": [\"string\"],\n        \"skip_active_labeling\": True,\n    },\n)\nprint(response.job_id)"
    servers:
    - url: https://lastmileai.dev
      description: Production server - LastMile AI
  /api/2/auto_eval/pseudo_label_job/get_status:
    post:
      tags:
      - Pseudo Label Job
      summary: Get Pseudo Label Job Status
      operationId: GetPseudoLabelJobStatus
      description: Get the status of an existing job, including any results.
      security:
      - BearerAuth: []
      requestBody:
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/lmai.proto.webserver.v2.GetPseudoLabelJobStatusRequest'
      responses:
        '200':
          description: Successful operation
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/lmai.proto.webserver.v2.GetPseudoLabelJobStatusResponse'
      x-codeSamples:
      - lang: JavaScript
        source: "import Lastmile from 'lastmile';\n\nconst client = new Lastmile({\n  bearerToken: process.env['LASTMILE_API_TOKEN'], // This is the default and can be omitted\n});\n\nasync function main() {\n  const response = await client.labelDatasetJobs.getStatus({ jobId: 'jobId' });\n\n  console.log(response.pseudoLabelJobResult);\n}\n\nmain();"
      - lang: Python
        source: "import os\nfrom lastmile import Lastmile\n\nclient = Lastmile(\n    bearer_token=os.environ.get(\"LASTMILE_API_TOKEN\"),  # This is the default and can be omitted\n)\nresponse = client.label_dataset_jobs.get_status(\n    job_id=\"jobId\",\n)\nprint(response.pseudo_label_job_result)"
    servers:
    - url: https://lastmileai.dev
      description: Production server - LastMile AI
components:
  schemas:
    lmai.proto.webserver.v2.SubmitPseudoLabelJobResponse:
      title: SubmitPseudoLabelJobResponse
      type: object
      properties:
        jobId:
          type: string
      required:
      - jobId
    lmai.proto.webserver.v2.GetPseudoLabelJobStatusResponse:
      title: GetPseudoLabelJobStatusResponse
      type: object
      properties:
        status:
          type: string
          enum:
          - JOB_STATUS_UNSPECIFIED
          - JOB_STATUS_QUEUED
          - JOB_STATUS_RUNNING
          - JOB_STATUS_COMPLETED
          - JOB_STATUS_CANCELLED
          - JOB_STATUS_FAILED
          title: JobStatus
        pseudoLabelJobResult:
          $ref: '#/components/schemas/lmai.proto.webserver.v2.PseudoLabelJobConfig'
      required:
      - status
      - pseudoLabelJobResult
    lmai.proto.model_fine_tuning.v1.PromptTemplate:
      title: PromptTemplate
      type: object
      properties:
        id:
          type: string
        template:
          type: string
          description: The template string that defines the prompt
      required:
      - id
      - template
    lmai.proto.webserver.v2.SubmitPseudoLabelJobRequest:
      title: SubmitPseudoLabelJobRequest
      type: object
      properties:
        jobId:
          type: string
        pseudoLabelJobConfig:
          $ref: '#/components/schemas/lmai.proto.webserver.v2.PseudoLabelJobConfig'
          description: The pseudo-labeling job configuration.
      required:
      - jobId
      - pseudoLabelJobConfig
    lmai.proto.webserver.v2.GetPseudoLabelJobStatusRequest:
      title: GetPseudoLabelJobStatusRequest
      type: object
      properties:
        jobId:
          type: string
      required:
      - jobId
    lmai.proto.webserver.v2.CreatePseudoLabelJobResponse:
      title: CreatePseudoLabelJobResponse
      type: object
      properties:
        jobId:
          type: string
      required:
      - jobId
    lmai.proto.webserver.v2.PseudoLabelJobConfig:
      title: PseudoLabelJobConfig
      type: object
      properties:
        name:
          type: string
          description: Optional name for the job.
        description:
          type: string
          description: Optional description for the job.
        datasetId:
          type: string
          description: ID of the main dataset to be pseudo-labeled
        fewShotDatasetId:
          type: string
          description: ID of the dataset containing few-shot examples. Optional.
        activeLabeledDatasetId:
          type: string
          description: "ID of the actively labeled dataset. Optional. If null, this job is for\n active learning."
        selectedColumns:
          type: array
          items:
            type: string
            description: "Subset of columns to be used in pseudo-labeling.\n Expected columns: input, output, ground_truth\n For example, a summarization task might not need an input column.\n By default, all columns are used."
        promptTemplate:
          $ref: '#/components/schemas/lmai.proto.model_fine_tuning.v1.PromptTemplate'
        baseEvaluationMetric:
          type: string
          enum:
          - BASE_EVALUATION_METRIC_UNSPECIFIED
          - BASE_EVALUATION_METRIC_FAITHFULNESS
          - BASE_EVALUATION_METRIC_RELEVANCE
          - BASE_EVALUATION_METRIC_TOXICITY
          - BASE_EVALUATION_METRIC_QA
          - BASE_EVALUATION_METRIC_SUMMARIZATION
          title: BaseEvaluationMetric
          description: Reserved field. Do not use  at the moment.
        skipActiveLabeling:
          type: boolean
          description: "If true, skip active labeling, which involves an intermediate Dataset\n created for human labeling."
      required:
      - datasetId
      - selectedColumns
      - promptTemplate
      - baseEvaluationMetric
      - skipActiveLabeling
      description: Configuration for LLM Judge labeling job.
    lmai.proto.webserver.v2.CreatePseudoLabelJobRequest:
      title: CreatePseudoLabelJobRequest
      type: object
      properties:
        pseudoLabelJobConfig:
          $ref: '#/components/schemas/lmai.proto.webserver.v2.PseudoLabelJobConfig'
          description: Partial configuration containing updates via its non-null fields.
      required:
      - pseudoLabelJobConfig
  securitySchemes:
    BearerAuth:
      type: http
      scheme: bearer
      bearerFormat: JWT
x-refined-from:
- model.json
- lastmileai-openapi.json