23 lines
1.0 KiB
Bash
23 lines
1.0 KiB
Bash
# --- Google Cloud Configuration ---
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# Replace with your actual Google Cloud Project ID
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GOOGLE_CLOUD_PROJECT=your-gcp-project-id
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# Replace with the Google Cloud region you want to use (e.g., us-central1, europe-west1)
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GOOGLE_CLOUD_LOCATION=us-central1
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# --- LLM Configuration (for Client) ---
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# Optional: Specify the default Gemini model the client should use for orchestration/chat.
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# Models like gemma-3-27b-it is a good choice.
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# The server tools use specific models defined in gemini_server.py.
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LLM_MODEL_NAME=gemma-3-27b-it
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# --- Authentication ---
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# Authentication to Google Cloud is typically handled via Application Default Credentials (ADC).
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# Ensure you have authenticated by running:
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# gcloud auth application-default login
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# The GOOGLE_APPLICATION_CREDENTIALS environment variable can also be used to point to a service account key file,
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# but ADC is generally preferred for local development and Cloud environments.
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# GOOGLE_APPLICATION_CREDENTIALS="/path/to/your/service-account-key.json"
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GOOGLE_API_KEY="--your Google AI Studio API Key for Gemma--"
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