# Stream‑Mode AI Agent A lightweight LangChain agent that streams its responses token by token using the `rich` library for pretty console output. > **Why stream?** > When an LLM generates a long answer or calls multiple tools, waiting until the entire response is ready can feel like a freeze. Streaming lets you see the answer as it is produced, improving interactivity and user experience. --- ## 📦 Features - Uses **LangChain** for agent orchestration - Powered by **OpenAI GPT‑4o-mini** (or any OpenAI model) - Real‑time streaming via `llm.stream(...)` - Pretty console output with **rich** - Simple, single‑file implementation (`solution.py`) --- ## ⚙️ Prerequisites | Item | Minimum Version | |------|-----------------| | Python | 3.10+ | | pip | – | | OpenAI API key | Set as environment variable `OPENAI_API_KEY` | > **Tip:** Create a virtual environment before installing dependencies. ```bash python -m venv .venv source .venv/bin/activate # On Windows: .\.venv\Scripts\activate ``` --- ## 📥 Installation ```bash # Clone the repo (or copy solution.py into your project) git clone https://github.com//stream-ai-agent.git cd stream-ai-agent # Install dependencies pip install -r requirements.txt ``` `requirements.txt`: ```text langchain==0.2.* openai==1.* rich==13.* ``` > Adjust the version numbers if you prefer newer releases. --- ## 🚀 Running the Agent ```bash export OPENAI_API_KEY="sk-..." # On Windows: set OPENAI_API_KEY=sk-... python solution.py ``` The script will prompt you for a question. Type your query and press **Enter**. You’ll see the answer appear token by token in real time. --- ## 📄 Example ```text $ python solution.py 🤖 What is the capital of France? 🇫🇷 Paris ``` The agent will stream each word (or token) as it arrives, giving a smooth typing‑like effect. --- ## 🔧 Customization - **Change model** – edit `model="gpt-4o-mi"` in `solution.py`. - **Add tools** – decorate functions with `@tool` and include them in the agent. - **Adjust temperature** – modify `temperature=0` to a higher value for more creativity. --- ## 📚 Further Reading - [LangChain Docs](https://langchain.com/docs/) - [OpenAI API Reference](https://platform.openai.com/docs/api-reference) - [Rich Library](https://rich.readthedocs.io/en/stable/) --- Happy streaming! 🚀