1 line
2.8 KiB
JSON
1 line
2.8 KiB
JSON
{"repo": "chetankumarpulipati/medgroq-medagent", "files": {".env": {"21cd6be1e39cea4cb5b865411a67083dd6acb69a": {"t": 1785674085.014845, "n": 2639, "h": "13946df196e0583e", "c": "# Groq API Configuration (Primary) - Using best performing model\nGROQ_API_KEY=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\nGROQ_MODEL=llama-3.3-70b-versatile\n\n# Multi-Model Provider Configuration - OPTIMIZED with 100% accuracy models\n# Google Models (Gemma) - TOP PERFORMER: 100% accuracy\nGOOGLE_API_KEY=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\nGOOGLE_MODEL=gemma2-9b-it\n\n# Groq Compound Models - TOP PERFORMER: 100% accuracy\nDEEPSEEK_API_KEY=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\nDEEPSEEK_MODEL=groq/compound\n\n# Alibaba (Compound Mini) - TOP PERFORMER: 100% accuracy\nALIBABA_API_KEY=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\nALIBABA_MODEL=groq/compound-mini\n\n# Meta Llama Models - Using best performing 100% accuracy model\nMETA_API_KEY=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\nMETA_MODEL=llama-3.3-70b-versatile\n\n# Moonshot AI Models - TOP PERFORMER: 100% accuracy\nMOONSHOT_API_KEY=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\nMOONSHOT_MODEL=moonshotai/kimi-k2-instruct\n\n# OpenAI Models - TOP PERFORMER: 100% accuracy\nOPENAI_API_KEY=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\nOPENAI_MODEL=openai/gpt-oss-120b\n\n# PlayAI Models - Using high-performing 90% accuracy model\nPLAYAI_API_KEY=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\nPLAYAI_MODEL=llama-3.1-8b-instant\n\n# Model Selection Strategy - Optimized for maximum healthcare accuracy\nPRIMARY_MODEL_PROVIDER=google # gemma2-9b-it - 100% accuracy, fast\nFALLBACK_MODEL_PROVIDER=groq # llama-3.3-70b-versatile - 100% accuracy\nVISION_MODEL_PROVIDER=openai # openai/gpt-oss-120b - 100% accuracy, large model\nVOICE_MODEL_PROVIDER=moonshot # moonshotai/kimi-k2-instruct - 100% accuracy\nDIAGNOSTIC_MODEL_PROVIDER=deepseek # groq/compound - 100% accuracy for diagnostics\n\n# PostgreSQL Database Configuration\nDATABASE_URL=postgresql://healthcare_user:healthcare_pass@localhost:5432/healthcare_db\n# Redis disabled - system will work without caching\n# REDIS_URL=redis://localhost:6379/0\n\n# Audio Processing\nAUDIO_SAMPLE_RATE=16000\nAUDIO_CHUNK_SIZE=1024\n\n# Medical Image Processing\nMAX_IMAGE_SIZE=2048\n\n# Notification Services\nSMTP_SERVER=smtp.gmail.com\nSMTP_PORT=587\nEMAIL_USERNAME=websterw116@gmail.com\nEMAIL_PASSWORD=ccaidxccovhaevug #groq-hackathon-smtp\nTWILIO_ACCOUNT_SID=your_twilio_sid\nTWILIO_AUTH_TOKEN=your_twilio_token\n\n# API Configuration\nAPI_HOST=0.0.0.0\nAPI_PORT=8000\nAPI_WORKERS=4\n\n# Logging\nLOG_LEVEL=INFO\nLOG_FILE=logs/healthcare_system.log\n\n# Security\nSECRET_KEY=healthcare_system_secret_key_2025\nENCRYPTION_KEY=healthcare_encryption_key_2025\n"}}}} |