Google_Gemini_LLM_arguments
(
ApiType('gcp')
[AUTHORIZATION([DatabaseName.]AuthorizationObjectName]
|{
AccessToken('<gcp_vertex_access token>')
REGION('<gcp_region>')
Project('<gcp_project_name>')
}
ModelName('<gemini-model-name>')
[ModelArgs('{"Temperature": "temp", "top_p" : "top_p"}')]
[EnableSafety('TRUE')]
)
Required Syntax Elements
- ApiType
- Identification of the cloud platform.
Permitted values (not case-sensitive): aws, azure, gcp, nim, litellm
- AUTHORIZATION
- Mutually exclusive with region, AccessToken, and Project.
Authorization object containing the credentials.
- region
- Mutually exclusive with AUTHORIZATION.
Specifies the name of your Google Cloud service region.
- AccessToken
- Mutually exclusive with AUTHORIZATION.
Specifies the session token for the session token for Google Cloud.
- Project
- Mutually exclusive with AUTHORIZATION.
Specifies the name of the gcp project.
- ModelName
- Name of AI LLM to be used for text analytics tasks.
Permitted values: Case-sensitive alphanumeric string with dashes. The value is used as is for connection to Google Cloud.
Optional Syntax Elements
- EnableSafety
- Specifies if the safety feature needs to be enabled.
Default value: True
- ModelArgs
- JSON string representing the inference parameters for the selected LLM model.