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Upload .env.example with huggingface_hub

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+ # === Required for free LLM calls (Scanner, Frontier, Preprocessor, Messaging) ===
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+ GROQ_API_KEY=gsk_your_key_here
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+
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+ # Optional: change the Groq model (default: llama-3.1-8b-instant)
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+ # GROQ_MODEL=llama-3.3-70b-versatile
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+
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+ # === Modal (OPTIONAL — only if you have GPU credits) ===
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+ # Modal often gives only ~$1 free credits. Leave USE_MODAL_SPECIALIST=false for demo.
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+ # Specialist Agent automatically uses Groq instead (free).
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+ # MODAL_TOKEN_ID=ak_your_id_here
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+ # MODAL_TOKEN_SECRET=as_your_secret_here
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+ USE_MODAL_SPECIALIST=false
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+
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+ # === Required to build vector DB (Day 2) and for Modal pricer ===
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+ # Sign up at https://huggingface.co — free
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+ HF_TOKEN=hf_your_token_here
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+
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+ # === Optional: push notifications to your phone (free tier at pushover.net) ===
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+ PUSHOVER_USER=u_your_user_key
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+ PUSHOVER_TOKEN=a_your_app_token
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+
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+ # === Local dev: use Ollama instead of Groq for preprocessor ===
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+ # PRICER_PREPROCESSOR_MODEL=ollama/llama3.2
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+
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+ # === Deployment (Hugging Face Spaces / Render) ===
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+ GRADIO_SERVER_NAME=0.0.0.0
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+ GRADIO_SERVER_PORT=7860
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+ GRADIO_SHARE=false