Microsoft Azure · OpenAPI Overlay 1.0.0

API Evangelist conversational phrasing for Microsoft Azure Azure AgFoodPlatform Data Plane Service…

7 actions 7 updates phrasing extends openapi/microsoft-azure-modelinference-api-openapi.yml
Generated by API Evangelist Written by API Evangelist tooling for Microsoft Azure's API. It is a proposal applied on top of the contract, not a document Microsoft Azure publishes.
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What the actions change

x-apievangelist-phrasing

Targets 7

$.info
$.paths['/model-inference/models/microsoft-biomass/infer-data/{jobId}'].get
$.paths['/model-inference/models/microsoft-biomass/infer-data/{jobId}'].put
$.paths['/model-inference/models/microsoft-sensor-placement/infer-data/{jobId}'].get
$.paths['/model-inference/models/microsoft-sensor-placement/infer-data/{jobId}'].put
$.paths['/model-inference/models/microsoft-soil-moisture/infer-data/{jobId}'].get
$.paths['/model-inference/models/microsoft-soil-moisture/infer-data/{jobId}'].put

OpenAPI Overlay

Raw ↑
# 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 AgFoodPlatform Data Plane Service…
  version: 1.0.0
extends: openapi/microsoft-azure-modelinference-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['/model-inference/models/microsoft-biomass/infer-data/{jobId}'].get
  update:
    x-apievangelist-phrasing:
      intent: Get a biomass model job
      effect: read
      questions:
      - Has my crop biomass estimation job finished running?
      - Where can I see the status of a biomass model inference job?
      instructions:
      - text: Get biomass model job {jobId}.
        slots:
          jobId: path.jobId
      - text: Check the status of crop biomass inference job {jobId}.
        slots:
          jobId: path.jobId
      method: generated
      generated: '2026-09-26'
- target: $.paths['/model-inference/models/microsoft-biomass/infer-data/{jobId}'].put
  update:
    x-apievangelist-phrasing:
      intent: Run the biomass model on a field
      effect: write
      questions:
      - How do I estimate crop biomass for a field from satellite imagery?
      - What do I need to supply to run the biomass model — crop, planting date and weather extension?
      instructions:
      - text: Start biomass job {jobId} for party {partyId}, boundary {boundaryId}, crop {cropName}, planted {plantingStartDateTime}.
        slots:
          jobId: path.jobId
          partyId: requestBody.partyId
          boundaryId: requestBody.boundaryId
          cropName: requestBody.cropName
          plantingStartDateTime: requestBody.plantingStartDateTime
      - text: Estimate {cropName} biomass on boundary {boundaryId} through {inferenceEndDateTime} using weather extension {weatherExtensionId}.
        slots:
          cropName: requestBody.cropName
          boundaryId: requestBody.boundaryId
          inferenceEndDateTime: requestBody.inferenceEndDateTime
          weatherExtensionId: requestBody.weatherExtensionId
      method: generated
      generated: '2026-09-26'
- target: $.paths['/model-inference/models/microsoft-sensor-placement/infer-data/{jobId}'].get
  update:
    x-apievangelist-phrasing:
      intent: Get a sensor placement model job
      effect: read
      questions:
      - Are the sensor placement recommendations for my field ready?
      - How do I check a sensor placement model job's progress?
      instructions:
      - text: Get sensor placement model job {jobId}.
        slots:
          jobId: path.jobId
      - text: Check whether sensor placement job {jobId} is done.
        slots:
          jobId: path.jobId
      method: generated
      generated: '2026-09-26'
- target: $.paths['/model-inference/models/microsoft-sensor-placement/infer-data/{jobId}'].put
  update:
    x-apievangelist-phrasing:
      intent: Recommend sensor locations for a field
      effect: write
      questions:
      - Where should I place soil sensors on my field?
      - Can the sensor placement model return ranked locations for a given sensor type?
      instructions:
      - text: Start sensor placement job {jobId} for party {partyId} on boundary {boundaryId} with sensor type {sensorType}.
        slots:
          jobId: path.jobId
          partyId: requestBody.partyId
          boundaryId: requestBody.boundaryId
          sensorType: requestBody.sensorType
      - text: Recommend ranked {sensorType} sensor locations on boundary {boundaryId} from {inferenceStartDateTime} to {inferenceEndDateTime}.
        slots:
          sensorType: requestBody.sensorType
          boundaryId: requestBody.boundaryId
          inferenceStartDateTime: requestBody.inferenceStartDateTime
          inferenceEndDateTime: requestBody.inferenceEndDateTime
      method: generated
      generated: '2026-09-26'
- target: $.paths['/model-inference/models/microsoft-soil-moisture/infer-data/{jobId}'].get
  update:
    x-apievangelist-phrasing:
      intent: Get a soil moisture model job
      effect: read
      questions:
      - Is my soil moisture estimation job complete?
      - What status is a soil moisture model inference job in?
      instructions:
      - text: Get soil moisture model job {jobId}.
        slots:
          jobId: path.jobId
      - text: Check progress on soil moisture inference job {jobId}.
        slots:
          jobId: path.jobId
      method: generated
      generated: '2026-09-26'
- target: $.paths['/model-inference/models/microsoft-soil-moisture/infer-data/{jobId}'].put
  update:
    x-apievangelist-phrasing:
      intent: Estimate soil moisture for a field
      effect: write
      questions:
      - How do I estimate soil moisture across a field using my sensors and satellite imagery?
      - Which sensor data model and sensor partner does the soil moisture job need?
      instructions:
      - text: Start soil moisture job {jobId} for party {partyId} on boundary {boundaryId} from {inferenceStartDateTime} to {inferenceEndDateTime}.
        slots:
          jobId: path.jobId
          partyId: requestBody.partyId
          boundaryId: requestBody.boundaryId
          inferenceStartDateTime: requestBody.inferenceStartDateTime
          inferenceEndDateTime: requestBody.inferenceEndDateTime
      - text: Estimate soil moisture on boundary {boundaryId} using sensor partner {sensorPartnerId} and data model {sensorDataModelId}.
        slots:
          boundaryId: requestBody.boundaryId
          sensorPartnerId: requestBody.sensorPartnerId
          sensorDataModelId: requestBody.sensorDataModelId
      method: generated
      generated: '2026-09-26'

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