added claude.md

.python-version

@@ -1 +1 @@
-3.10
+3.12

CLAUDE.md

@@ -0,0 +1,99 @@
+# CLAUDE.md
+
+This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
+
+## Project Overview
+
+TradingAgents is a Python-based multi-agent LLM financial trading framework that simulates a trading firm with specialized AI agents. It uses LangGraph for agent orchestration and supports multiple LLM providers.
+
+## Key Architecture
+
+The system implements a collaborative multi-agent architecture:
+- **Analysts**: Analyze company fundamentals, market trends, sentiment, and news
+- **Researchers**: Bull and Bear researchers debate investment opportunities
+- **Risk Managers**: Evaluate and debate risk levels
+- **Research Manager**: Synthesizes research into actionable decisions
+- **Trader**: Executes decisions based on collective intelligence
+
+Agent communication flows through LangGraph workflows defined in `tradingagents/graph/`.
+
+## Common Development Commands
+
+```bash
+# Install dependencies
+pip install -r requirements.txt
+
+# Install package in development mode
+pip install -e .
+
+# Run the CLI application
+python -m cli.main
+# or after installation:
+tradingagents
+
+# Start the API server
+python -m tradingagents_api.start_server
+
+# Run the main example script
+python main.py
+```
+
+## Important Configuration
+
+1. **API Keys**: Set in environment variables or `.env` file:
+   - `OPENAI_API_KEY`
+   - `ANTHROPIC_API_KEY`
+   - `FINNHUB_API_KEY`
+   - `OPENROUTER_API_KEY`
+   - `LANGCHAIN_API_KEY` (for tracing)
+
+2. **LLM Configuration**: Modify `tradingagents/default_config.py`:
+   - Default model: "openai/gpt-4o-mini"
+   - Supports OpenAI, Anthropic, Google, Ollama, OpenRouter
+   - Temperature settings for each agent type
+
+3. **Python Version**: Requires Python >=3.10 (3.12 recommended)
+
+## Project Structure Guidelines
+
+- Agent implementations: `tradingagents/agents/`
+- Data fetching logic: `tradingagents/dataflows/`
+- LangGraph workflows: `tradingagents/graph/`
+- API endpoints: `tradingagents-api/app/api/v1/endpoints/`
+- CLI interface: `cli/`
+
+## API Development
+
+The FastAPI application in `tradingagents-api/` provides REST endpoints:
+- Market analysis: `/api/v1/reports/market`
+- Sentiment analysis: `/api/v1/reports/sentiment`
+- News analysis: `/api/v1/reports/news`
+- Fundamentals: `/api/v1/reports/fundamentals`
+
+API uses JWT authentication with API key fallback. See `tradingagents-api/README.md` for deployment details.
+
+## Testing Approach
+
+Currently no formal test suite exists. When implementing tests:
+- Use pytest for unit testing
+- Test agent logic in isolation
+- Mock external API calls (FinnHub, Yahoo Finance)
+- Test LangGraph workflow transitions
+
+## Code Conventions
+
+- Use type hints throughout
+- Follow async/await patterns for I/O operations
+- Implement Pydantic models for data validation
+- Keep agent logic modular and testable
+- Use environment variables for configuration
+- Log important decisions and errors
+
+## Key Dependencies
+
+- **LangChain/LangGraph**: Agent orchestration
+- **yfinance/finnhub**: Market data
+- **backtrader**: Backtesting framework
+- **FastAPI**: REST API
+- **Chainlit**: UI interface
+- **Rich**: CLI formatting

requirements.txt

@@ -22,3 +22,4 @@ rich
 questionary
 langchain_anthropic
 langchain-google-genai
+langchain_openai