# ============================================ # 1. Model choices/config # ============================================ ### MAIN MODEL AGENT ### PROVIDER=google # Available models: https://cloud.google.com/vertex-ai/generative-ai/docs/learn/model-versions MODEL=gemini-2.5-flash TEMPERATURE=0.1 ### VISION MODEL ### # Available models: https://cloud.google.com/vertex-ai/generative-ai/docs/learn/model-versions GOOGLE_VISION_MODEL=gemini-2.5-flash # ============================================ # 2. LLM Provider API Keys # ============================================ ### Mandatory ### GOOGLE_API_KEY= ### Optional - Depends on the main model ### OPENAI_API_KEY= GROQ_API_KEY= OLLAMA_HOST=http://localhost:11434 # default, change if custom host/port HUGGINGFACEHUB_API_TOKEN= HF_TOKEN= # some clients use this instead of HUGGINGFACEHUB_API_TOKEN # ============================================ # 3. Observability (OTEL, costs, tokens...) # ============================================ # LangFuse (if you want to use it) # Note: You need to run at least Python 3.11 (GitHub Issue). LANGFUSE_PUBLIC_KEY= LANGFUSE_SECRET_KEY= # 🇪🇺 EU region LANGFUSE_HOST=https://cloud.langfuse.com # LangChain / LangSmith (or if you prefer) # LANGSMITH_TRACING=true # LANGSMITH_ENDPOINT=https://api.smith.langchain.com # LANGCHAIN_API_KEY= # LANGCHAIN_PROJECT= # ============================================ # 4. Audio transcoding (mp3 local or distant) # ============================================ ASSEMBLYAI_API_KEY=