Googleapis Firebaseml

Firebase ML API is a Google Firebase API for managing machine-learning resources used in mobile and web apps.

• Base URL: https://firebaseml.googleapis.com
• Auth: OAuth 2.0 (user-delegated) — attach an InTouch oauth credential. Mint one with itcli.py /oauth <provider> (device-code) or /google-auth (Google); the server auto-refreshes the access token before each run, so the connector never handles or stores tokens.

Operations

• firebaseml_projects_operations_get — GET /v1beta2/{name} — Gets the latest state of a long-running operation. Clients can use this method t
• firebaseml_projects_models_download — GET /v1beta2/{name}:download — Gets Download information for a model. This is meant for downloading model resou
• firebaseml_projects_models_list — GET /v1beta2/{parent}/models — Lists the models
• firebaseml_projects_models_delete — DELETE /v1beta2/{name} — Deletes a model
• firebaseml_projects_models_patch — PATCH /v1beta2/{name} — Updates a model. The longrunning operation will eventually return a Model.
• firebaseml_projects_models_create — POST /v1beta2/{parent}/models — Creates a model in Firebase ML. The longrunning operation will eventually return

Inputs

• a linked oauth credential (no key inputs) — the server injects a fresh Authorization: Bearer from it
• operation — one of the operations above
• path parameters when an operation's path contains {...}
• query — optional JSON object of query params
• body — JSON object for create/update ops

Example

operation: firebaseml_projects_operations_get
# (attach an 'oauth' credential to the task — no inline secrets)

Publishes

The keys a later task may reference as {{taskName.key}}. Referencing anything not listed here resolves to nothing at run time.

• error
• operation
• result
• status

Input Properties

Every property this tool accepts, from its own tool.iml.