# Generated by API Evangelist (build-phrasing.py). Our phrasing, not observed demand.
overlay: 1.0.0
info:
  title: API Evangelist conversational phrasing for Microsoft Azure Azure OpenAI API version 2023-10-01-preview…
  version: 1.0.0
extends: openapi/microsoft-azure-fine-tuning-api-openapi.yml
actions:
- target: $.info
  update:
    x-apievangelist-phrasing:
      method: generated
      generated: '2026-09-26'
      generator: build-phrasing.py
      label: Generated by API Evangelist
      operations: 6
- target: $.paths['/fine_tuning/jobs'].get
  update:
    x-apievangelist-phrasing:
      intent: List fine-tuning jobs
      effect: read
      questions:
      - What fine-tuning jobs have I run on my Azure OpenAI resource?
      - Can I page through fine-tune jobs 20 at a time?
      instructions:
      - text: List my fine-tuning jobs.
      - text: Show {limit} fine-tuning jobs after job {after}.
        slots:
          limit: query.limit
          after: query.after
      method: generated
      generated: '2026-09-26'
- target: $.paths['/fine_tuning/jobs'].post
  update:
    x-apievangelist-phrasing:
      intent: Start a fine-tuning job
      effect: write
      questions:
      - How do I fine-tune a base model on my own training file in Azure OpenAI?
      - Can I add a validation file and a custom suffix to a fine-tuned model?
      instructions:
      - text: Fine-tune {model} using training file {training_file}.
        slots:
          model: requestBody.model
          training_file: requestBody.training_file
      - text: Start a fine-tune of {model} on {training_file}, validating with {validation_file}, suffix {suffix}.
        slots:
          model: requestBody.model
          training_file: requestBody.training_file
          validation_file: requestBody.validation_file
          suffix: requestBody.suffix
      method: generated
      generated: '2026-09-26'
- target: $.paths['/fine_tuning/jobs/{fine-tuning-job-id}'].get
  update:
    x-apievangelist-phrasing:
      intent: Get a fine-tuning job's details
      effect: read
      questions:
      - What's the status and hyperparameters of my fine-tune job?
      - Which base model and training files did a fine-tuning job use?
      instructions:
      - text: Get fine-tuning job {fine-tuning-job-id}.
        slots:
          fine-tuning-job-id: path.fine-tuning-job-id
      - text: Show the status of fine-tune {fine-tuning-job-id}.
        slots:
          fine-tuning-job-id: path.fine-tuning-job-id
      method: generated
      generated: '2026-09-26'
- target: $.paths['/fine_tuning/jobs/{fine-tuning-job-id}'].delete
  update:
    x-apievangelist-phrasing:
      intent: Delete a fine-tuning job
      effect: destructive
      questions:
      - How do I delete an old fine-tuning job record?
      - Can I remove a fine-tune job from my resource entirely?
      instructions:
      - text: Delete fine-tuning job {fine-tuning-job-id}.
        slots:
          fine-tuning-job-id: path.fine-tuning-job-id
      - text: Remove the fine-tune job {fine-tuning-job-id} permanently.
        slots:
          fine-tuning-job-id: path.fine-tuning-job-id
      method: generated
      generated: '2026-09-26'
- target: $.paths['/fine_tuning/jobs/{fine-tuning-job-id}/events'].get
  update:
    x-apievangelist-phrasing:
      intent: List events for a fine-tuning job
      effect: read
      questions:
      - What progress events has my fine-tuning job logged?
      - When did my fine-tune job start running or finish uploading results?
      instructions:
      - text: Show events for fine-tuning job {fine-tuning-job-id}.
        slots:
          fine-tuning-job-id: path.fine-tuning-job-id
      - text: List the last {limit} status events of fine-tune {fine-tuning-job-id}.
        slots:
          limit: query.limit
          fine-tuning-job-id: path.fine-tuning-job-id
      method: generated
      generated: '2026-09-26'
- target: $.paths['/fine_tuning/jobs/{fine-tuning-job-id}/cancel'].post
  update:
    x-apievangelist-phrasing:
      intent: Cancel a running fine-tuning job
      effect: destructive
      questions:
      - How do I stop a fine-tuning job that's still running?
      - Can I cancel a fine-tune I started by mistake?
      instructions:
      - text: Cancel fine-tuning job {fine-tuning-job-id}.
        slots:
          fine-tuning-job-id: path.fine-tuning-job-id
      - text: Stop processing fine-tune {fine-tuning-job-id} now.
        slots:
          fine-tuning-job-id: path.fine-tuning-job-id
      method: generated
      generated: '2026-09-26'