embeddings-1 #2
61
.env.example
61
.env.example
@ -2,34 +2,51 @@
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# ForensicPathways Environment Configuration
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# ===========================================
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# Authentication & OIDC (Required)
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AUTH_SECRET=change-this-to-a-strong-secret-key-in-production
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# === Authentication Configuration ===
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AUTHENTICATION_NECESSARY=false
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AUTHENTICATION_NECESSARY_CONTRIBUTIONS=false
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AUTHENTICATION_NECESSARY_AI=false
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AUTH_SECRET=your-secret-key-change-in-production
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# OIDC Configuration (if authentication enabled)
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OIDC_ENDPOINT=https://your-oidc-provider.com
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OIDC_CLIENT_ID=your-oidc-client-id
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OIDC_CLIENT_SECRET=your-oidc-client-secret
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OIDC_CLIENT_ID=your-client-id
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OIDC_CLIENT_SECRET=your-client-secret
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# Auth Scopes - set to true in prod
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AUTHENTICATION_NECESSARY_CONTRIBUTIONS=true
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AUTHENTICATION_NECESSARY_AI=true
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# === AI Configuration ===
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# Application Configuration (Required)
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PUBLIC_BASE_URL=https://your-domain.com
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NODE_ENV=production
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# Selector AI (for selection stage, choode a good model)
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AI_SELECTOR_ENDPOINT=https://llm.mikoshi.de
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AI_SELECTOR_API_KEY=sk-DzREDACTEDHA
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AI_SELECTOR_MODEL=mistral/mistral-medium-latest
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# AI Service Configuration (Required for AI features)
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AI_MODEL=mistral-large-latest
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AI_API_ENDPOINT=https://api.mistral.ai
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AI_API_KEY=your-mistral-api-key
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AI_RATE_LIMIT_DELAY_MS=1000
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# Analyzer AI (for analysis stage, choose a smaller model)
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AI_ANALYZER_ENDPOINT=https://llm.mikoshi.de
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AI_ANALYZER_API_KEY=sk-DzREDACTEDnHA
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AI_ANALYZER_MODEL=mistral/mistral-small-latest
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# Git Integration (Required for contributions)
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GIT_REPO_URL=https://git.cc24.dev/mstoeck3/forensic-pathways
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GIT_PROVIDER=gitea
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GIT_API_ENDPOINT=https://git.cc24.dev/api/v1
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GIT_API_TOKEN=your-git-api-token
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# === Embeddings Configuration ===
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# Enable/disable semantic embeddings pre-selection
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AI_EMBEDDINGS_ENABLED=true
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# File Upload Configuration (Optional)
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LOCAL_UPLOAD_PATH=./public/uploads
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# Embeddings API (Mistral recommended)
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AI_EMBEDDINGS_ENDPOINT=https://api.mistral.ai/v1/embeddings
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AI_EMBEDDINGS_API_KEY=ZSpREDACTED3wL
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AI_EMBEDDINGS_MODEL=mistral-embed
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# Embeddings performance settings
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AI_EMBEDDINGS_BATCH_SIZE=20
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AI_EMBEDDINGS_BATCH_DELAY_MS=1000
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AI_EMBEDDING_CANDIDATES=30
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AI_SIMILARITY_THRESHOLD=0.3
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# === AI Processing Configuration ===
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AI_MAX_SELECTED_ITEMS=15
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AI_RATE_LIMIT_DELAY_MS=2000
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# === Application Configuration ===
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PUBLIC_BASE_URL=http://localhost:4321
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NODE_ENV=development
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# Nextcloud Integration (Optional)
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NEXTCLOUD_ENDPOINT=https://your-nextcloud.com
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