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env.example
10
env.example
@@ -42,13 +42,11 @@ AI_MODEL=global.anthropic.claude-sonnet-4-5-20250929-v1:0
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# Google Vertex AI Configuration (Enterprise GCP)
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# For enterprise users needing data residency, VPC Service Controls, or GCP integration
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# Uses GCP service account authentication instead of API keys
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# GOOGLE_VERTEX_PROJECT=your-gcp-project-id # Required: GCP project ID
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# GOOGLE_VERTEX_LOCATION=us-central1 # Optional: defaults to us-central1
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# GOOGLE_APPLICATION_CREDENTIALS=/path/to/service-account.json # Path to service account key file
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# Note: When running on GCP (Cloud Run, GKE, Compute Engine), uses Application Default Credentials automatically
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# GOOGLE_VERTEX_API_KEY= # Required: Express Mode API key
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# GOOGLE_VERTEX_BASE_URL=https://... # Optional: Custom endpoint URL
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# Note: Gemini 2.5/3 models automatically enable reasoning display (includeThoughts: true)
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# GOOGLE_VERTEX_THINKING_BUDGET=8192 # Optional: Gemini 2.5 thinking budget in tokens (1024-100000)
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# GOOGLE_VERTEX_THINKING_LEVEL=high # Optional: Gemini 3 thinking level (low/high)
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# GOOGLE_VERTEX_THINKING_LEVEL=high # Optional: Gemini 3 thinking level (minimal/low/medium/high)
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# Azure OpenAI Configuration
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# Configure endpoint using ONE of these methods:
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