Google Vertex AI

Google Vertex AI provides enterprise-grade access to Google's generative AI models with enhanced security, scaling capabilities, and integration with Google Cloud services.

The following example shows a starting llm parameter configuration you can use when you Start a conversational AI agent.

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"llm": {

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"url": "https://{region}-aiplatform.googleapis.com/v1/projects/{project}/locations/{region}/publishers/google/models/{model}:{resource}",

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"api_key": "$(gcloud auth print-access-token)",

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"system_messages": [

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{

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"role": "user",

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"parts": [ {"text": "You are a helpful chatbot."} ]

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}

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],

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"max_history": 32,

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"greeting_message": "Good to see you!",

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"failure_message": "Hold on a second.",

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"params": {

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"model": "gemini-2.0-flash-001"

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},

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"style": "gemini"

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}

• api_key: Refer to Google Cloud REST authentication to get your GCP credentials.
• url: Use the Vertex AI endpoint with your Google Cloud project ID and region in the URL path. Refer to Google Vertex AI API documentation for details.
• model: Refer to Vertex AI models for available models.
• system_messages: Use parts array with text objects instead of simple content string.
• style: Set to "gemini" to use Gemini's message format.

For advanced configuration options, model capabilities, and detailed parameter descriptions, see the Google Vertex AI API documentation.