requirements.txt

# Telco Troubleshooting Agentic Challenge Requirements
# Optimized for Kaggle T4x2 with 4-bit quantization

# Core ML Libraries
torch>=2.0.0
transformers>=4.35.0
accelerate>=0.24.0
bitsandbytes>=0.41.0
datasets>=2.14.0
peft>=0.7.0
trl>=0.7.0

# Quantization and Optimization
auto-gptq>=0.7.0
optimum>=1.14.0

# HTTP and API
requests>=2.31.0
aiohttp>=3.8.0
uvicorn>=0.24.0
fastapi>=0.104.0

# Data Processing
pandas>=2.0.0
numpy>=1.24.0
scikit-learn>=1.3.0

# Utilities and Logging
python-dotenv>=1.0.0
tqdm>=4.66.0
colorama>=0.4.6

# Development and Testing
pytest>=7.4.0
pytest-asyncio>=0.21.0
black>=23.0.0
flake8>=6.0.0

# Kaggle Specific
kaggle>=1.5.0
jupyter>=1.0.0
ipywidgets>=8.0.0

# Memory Management
psutil>=5.9.0
GPUtil>=1.4.0

# JSON and Serialization
orjson>=3.9.0
pydantic>=2.4.0

# Time and Performance
timeago>=2.4.0
rich>=13.6.0

# Optional: vLLM for faster inference (if compatible with 4-bit)
# vllm>=0.2.0