Tomas Kracmar
60b6ad15c4
- Add AI_FEATURES_ENABLED config flag to gate AI/natural-language features - Conditionally register /api/ask router based on AI_FEATURES_ENABLED - Add GET /api/config/features endpoint for frontend feature detection - Update frontend to hide Ask panel when AI features are disabled - Implement standalone MCP server (backend/mcp_server.py) with tools: * search_events, get_event, get_summary, ask - Add mcp dependency to requirements.txt - Update .env.example, AGENTS.md, and ROADMAP.md - Bump VERSION to 1.3.0
52 lines
1.8 KiB
Plaintext
52 lines
1.8 KiB
Plaintext
TENANT_ID=your-tenant-id
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CLIENT_ID=your-client-id
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CLIENT_SECRET=your-client-secret
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ENABLE_PERIODIC_FETCH=false
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FETCH_INTERVAL_MINUTES=60
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AUTH_ENABLED=false
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AUTH_TENANT_ID=your-tenant-id
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AUTH_CLIENT_ID=your-api-client-id
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# API scope the SPA should request at login.
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# When set, the frontend acquires an access token for this scope (aud = AUTH_CLIENT_ID).
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# When empty, the frontend falls back to the idToken, which is also valid for the backend.
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# Example: api://cc31fd45-1eca-431f-a2c6-ba81cd4c5d50/.default
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AUTH_SCOPE=
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# Comma-separated lists (optional):
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AUTH_ALLOWED_ROLES=
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AUTH_ALLOWED_GROUPS=
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MONGO_ROOT_USERNAME=root
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MONGO_ROOT_PASSWORD=example
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MONGO_PORT=27017
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# MongoDB connection string (takes precedence over root credentials in Docker Compose)
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MONGO_URI=mongodb://root:example@localhost:27017
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# Optional: number of days to retain events in MongoDB (0 = disabled)
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RETENTION_DAYS=0
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# Optional: comma-separated CORS origins (e.g., http://localhost:3000,https://app.example.com)
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CORS_ORIGINS=*
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# Optional: SIEM export webhook (e.g., Splunk HEC, Sentinel, or generic syslog webhook)
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SIEM_ENABLED=false
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SIEM_WEBHOOK_URL=
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# Optional: enable rule-based alerting during ingestion
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ALERTS_ENABLED=false
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# Optional: enable AI/natural-language features (/api/ask, MCP server)
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# Set to false to completely disable AI endpoints and UI elements
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AI_FEATURES_ENABLED=true
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# Optional: LLM configuration for natural language querying (/api/ask)
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# Supports any OpenAI-compatible API (OpenAI, Azure OpenAI, Ollama, etc.)
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# For Azure OpenAI / MS Foundry, set BASE_URL to your deployment endpoint
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# (e.g. https://your-resource.openai.azure.com/openai/deployments/your-deployment)
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# and set API_VERSION to something like 2025-01-01-preview
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LLM_API_KEY=
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LLM_BASE_URL=https://api.openai.com/v1
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LLM_MODEL=gpt-4o-mini
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LLM_MAX_EVENTS=200
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LLM_TIMEOUT_SECONDS=30
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LLM_API_VERSION=
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