Edge Impulse · OpenAPI Overlay 1.0.0

API Evangelist conversational phrasing for Edge Impulse Integrations API

3 actions 3 updates phrasing extends openapi/edge-impulse-integrations-api-openapi.yml

Generated by API Evangelist Written by API Evangelist tooling for Edge Impulse's API. It is a proposal applied on top of the contract, not a document Edge Impulse publishes.

View Overlay File View on GitHub Overlay Specification

What the actions change

x-apievangelist-phrasing

Targets 3

$.info

$.paths['/api/{projectId}/integrations/tensorboard/start'].post

$.paths['/api/{projectId}/integrations/tensorboard/{resourceId}'].get

OpenAPI Overlay

# Generated by API Evangelist (build-phrasing.py). Our phrasing, not observed demand.
overlay: 1.0.0
info:
  title: API Evangelist conversational phrasing for Edge Impulse Integrations API
  version: 1.0.0
extends: openapi/edge-impulse-integrations-api-openapi.yml
actions:
- target: $.info
  update:
    x-apievangelist-phrasing:
      method: generated
      generated: '2026-10-01'
      generator: build-phrasing.py
      label: Generated by API Evangelist
      operations: 2
- target: $.paths['/api/{projectId}/integrations/tensorboard/start'].post
  update:
    x-apievangelist-phrasing:
      intent: Start a TensorBoard session for learn blocks
      effect: write
      questions:
      - How do I open TensorBoard to inspect training of my Edge Impulse learning blocks?
      - Can I launch TensorBoard for several learn blocks at once?
      instructions:
      - text: Start a TensorBoard session in project {projectId} for learn blocks {blockIds}.
        slots:
          projectId: path.projectId
          blockIds: requestBody.blockIds
      - text: Launch TensorBoard for blocks {blockIds} so I can look at their training curves.
        slots:
          blockIds: requestBody.blockIds
      method: generated
      generated: '2026-10-01'
- target: $.paths['/api/{projectId}/integrations/tensorboard/{resourceId}'].get
  update:
    x-apievangelist-phrasing:
      intent: Check the status of a TensorBoard session
      effect: read
      questions:
      - Is my TensorBoard session ready yet?
      - What state is a TensorBoard session I started earlier in?
      instructions:
      - text: Check the status of TensorBoard session {resourceId} in project {projectId}.
        slots:
          resourceId: path.resourceId
          projectId: path.projectId
      - text: Tell me whether TensorBoard session {resourceId} is up and running.
        slots:
          resourceId: path.resourceId
      method: generated
      generated: '2026-10-01'

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