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.endpoints.chat.completions

Exposes an OpenAI-compatible endpoint for chat completions.

HTTP request

POST https://{service-endpoint}/v1beta1/{endpoint}/chat/completions

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

Path parameters

Parameters

Parameters
`endpoint`	`string` Required. The name of the Endpoint requested to serve the prediction. Format: `projects/{project}/locations/{location}/endpoints/openapi`

endpoint

string

Required. The name of the Endpoint requested to serve the prediction. Format: projects/{project}/locations/{location}/endpoints/openapi

Request body

The request body contains an instance of HttpBody.

Response body

If successful, the response is a generic HTTP response whose format is defined by the method.

Authorization scopes

Requires one of the following OAuth scopes:

https://www.googleapis.com/auth/cloud-platform
https://www.googleapis.com/auth/cloud-platform.read-only
https://www.googleapis.com/auth/cloud-vertex-ai.firstparty.predict

For more information, see the Authentication Overview.

IAM Permissions

Requires the following IAM permission on the endpoint resource:

aiplatform.endpoints.predict

For more information, see the IAM documentation.