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* fix text * remove lint from docker publish workflow * gemini base url docs * feat: add multimodal support for openai-compatible providers - Add helper function to check OpenAI-compatible provider availability per mode - Update provider detection to support language, embedding, STT, and TTS modalities - Implement mode-specific environment variable detection (LLM, EMBEDDING, STT, TTS) - Maintain backward compatibility with generic OPENAI_COMPATIBLE_BASE_URL - Add comprehensive unit tests for all configuration scenarios - Update .env.example with mode-specific environment variables - Update provider support matrix in ai-models.md - Create comprehensive openai-compatible.md setup guide This enables users to configure different OpenAI-compatible endpoints for different AI capabilities (e.g., LM Studio for language models, dedicated server for embeddings) while maintaining full backward compatibility. * upgrade * chore: change docker release strategy
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2.7 KiB
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103 lines
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2.7 KiB
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# API CONFIGURATION
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# URL where the API can be accessed by the browser
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# Default: http://localhost:5055 (works for most Docker setups)
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# Change this if you're running on a different host/port (e.g., http://your-server-ip:5055)
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API_URL=http://localhost:5055
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# SECURITY
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# Set this to protect your Open Notebook instance with a password (for public hosting)
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# OPEN_NOTEBOOK_PASSWORD=
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# OPENAI
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# OPENAI_API_KEY=
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# ANTHROPIC
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# ANTHROPIC_API_KEY=
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# GEMINI
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# this is the best model for long context and podcast generation
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# GOOGLE_API_KEY=
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# GEMINI_API_BASE_URL= # Optional: Override default endpoint (for Vertex AI, proxies, etc.)
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# VERTEXAI
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# VERTEX_PROJECT=my-google-cloud-project-name
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# GOOGLE_APPLICATION_CREDENTIALS=./google-credentials.json
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# VERTEX_LOCATION=us-east5
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# MISTRAL
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# MISTRAL_API_KEY=
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# DEEPSEEK
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# DEEPSEEK_API_KEY=
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# OLLAMA
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# OLLAMA_API_BASE="http://10.20.30.20:11434"
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# OPEN ROUTER
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# OPENROUTER_BASE_URL="https://openrouter.ai/api/v1"
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# OPENROUTER_API_KEY=
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# GROQ
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# GROQ_API_KEY=
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# XAI
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# XAI_API_KEY=
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# ELEVENLABS
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# Used only by the podcast feature
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# ELEVENLABS_API_KEY=
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# TTS BATCH SIZE
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# Controls concurrent TTS requests for podcast generation (default: 5)
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# Lower values reduce provider load but increase generation time
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# Recommended: OpenAI=5, ElevenLabs=2, Google=4, Custom=1
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# TTS_BATCH_SIZE=2
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# VOYAGE AI
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# VOYAGE_API_KEY=
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# OPENAI COMPATIBLE ENDPOINTS
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# Generic configuration (applies to all modalities: language, embedding, STT, TTS)
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# OPENAI_COMPATIBLE_BASE_URL=http://localhost:1234/v1
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# OPENAI_COMPATIBLE_API_KEY=
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# Mode-specific configuration (overrides generic if set)
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# Use these when you want different endpoints for different capabilities
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# OPENAI_COMPATIBLE_BASE_URL_LLM=http://localhost:1234/v1
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# OPENAI_COMPATIBLE_API_KEY_LLM=
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# OPENAI_COMPATIBLE_BASE_URL_EMBEDDING=http://localhost:8080/v1
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# OPENAI_COMPATIBLE_API_KEY_EMBEDDING=
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# OPENAI_COMPATIBLE_BASE_URL_STT=http://localhost:9000/v1
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# OPENAI_COMPATIBLE_API_KEY_STT=
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# OPENAI_COMPATIBLE_BASE_URL_TTS=http://localhost:9000/v1
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# OPENAI_COMPATIBLE_API_KEY_TTS=
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# AZURE OPENAI
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# AZURE_OPENAI_API_KEY=
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# AZURE_OPENAI_ENDPOINT=
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# AZURE_OPENAI_API_VERSION="2024-12-01-preview"
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# AZURE_OPENAI_DEPLOYMENT_NAME=
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# USE THIS IF YOU WANT TO DEBUG THE APP ON LANGSMITH
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# LANGCHAIN_TRACING_V2=true
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# LANGCHAIN_ENDPOINT="https://api.smith.langchain.com"
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# LANGCHAIN_API_KEY=
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# LANGCHAIN_PROJECT="Open Notebook"
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# CONNECTION DETAILS FOR YOUR SURREAL DB
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# New format (preferred) - WebSocket URL
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SURREAL_URL="ws://surrealdb/rpc:8000"
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SURREAL_USER="root"
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SURREAL_PASSWORD="root"
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SURREAL_NAMESPACE="open_notebook"
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SURREAL_DATABASE="staging"
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# OPEN_NOTEBOOK_PASSWORD=
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# FIRECRAWL - Get a key at https://firecrawl.dev/
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FIRECRAWL_API_KEY=
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# JINA - Get a key at https://jina.ai/
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JINA_API_KEY= |