# 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 Service Completions API
  version: 1.0.0
extends: openapi/microsoft-azure-completions-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: 1
- target: $.paths['/deployments/{deployment-id}/completions'].post
  update:
    x-apievangelist-phrasing:
      intent: Generate a text completion from a prompt
      effect: write
      questions:
      - How do I get a text completion from my Azure OpenAI deployment?
      - Can I stream completion tokens back as they are generated?
      - What controls randomness in a completion, temperature or top_p?
      instructions:
      - text: Complete the prompt {prompt} using deployment {deployment}.
        slots:
          prompt: requestBody.prompt
          deployment: path.deployment-id
      - text: Generate up to {max_tokens} tokens for {prompt} on deployment {deployment} at temperature {temperature}.
        slots:
          max_tokens: requestBody.max_tokens
          prompt: requestBody.prompt
          deployment: path.deployment-id
          temperature: requestBody.temperature
      - text: Return {n} completions of {prompt} from deployment {deployment}, stopping at {stop}.
        slots:
          n: requestBody.n
          prompt: requestBody.prompt
          deployment: path.deployment-id
          stop: requestBody.stop
      method: generated
      generated: '2026-09-26'