This project explores the design and coordination of AI agents to perform research, reasoning, and finance tasks using large language models (LLMs) like OpenAI GPT and LLaMA. It demonstrates single-agent and multi-agent systems using frameworks such as Phidata and LangChain.
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βββ 1_simple_groq_agent.py # Basic agent using Groq for task execution
βββ 2_finance_agent_llama.py # LLaMA-based agent focused on financial analysis
βββ 3_agent_teams_openai.py # Team of agents collaborating via OpenAI APIs
βββ .env # Environment variables (API keys, etc.)
βββ requirements.txt # Python dependencies