Try Gemini 1.5 models, the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window. Try Gemini 1.5 models, the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window.

Method: projects.locations.reasoningEngines.delete

Deletes a reasoning engine.

Endpoint

delete


                https://{service-endpoint}/v1beta1/{name}

Where {service-endpoint} is one of the supported service endpoints.

Path parameters

name string

Required. The name of the ReasoningEngine resource to be deleted. Format: projects/{project}/locations/{location}/reasoningEngines/{reasoningEngine}

Request body

The request body must be empty.

Example request

Python

import vertexai
from vertexai.preview import reasoning_engines

# TODO(developer): Update and un-comment below lines
# project_id = "PROJECT_ID"
# reasoning_engine_id = "REASONING_ENGINE_ID"

vertexai.init(project=project_id, location="us-central1")

reasoning_engine = reasoning_engines.ReasoningEngine(reasoning_engine_id)
reasoning_engine.delete()gemini_reasoning_engine.py

Response body

If successful, the response body contains an instance of Operation.