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From: lonpatovaadelina <lonpatovaadelina@mail.ru>
Date: Thu, 28 May 2026 14:22:09 +0000
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 # 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.
+A lightweight demo of a LangChain agent that streams its output token‑by‑token instead of waiting for the entire response.  
+The project showcases how to replace a single `.invoke()` call with `.stream()`, so you can see the answer appear in real time.
 
 ---
 
-## 📦 Features
+## 📖 Description
 
-- 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`)
+- **Stack**: `LangChain`, `create_agent`, `@tool`, `rich`
+- **Files**:
+  - `agent.py` – defines tools and creates an agent that streams its output.
+  - `client.py` – simple CLI to interact with the agent.
+
+The agent can call external tools (e.g., a calculator) while streaming, making it feel more interactive for long answers or multi‑step reasoning.
 
 ---
 
 ## ⚙️ Prerequisites
 
-| Item | Minimum Version |
-|------|-----------------|
-| Python | 3.10+ |
-| pip | – |
-| OpenAI API key | Set as environment variable `OPENAI_API_KEY` |
+| Item | Version |
+|------|---------|
+| Python | ≥ 3.10 |
+| pip | Latest |
+| Virtual environment (recommended) | Any |
 
-> **Tip:** Create a virtual environment before installing dependencies.
+The project uses the following packages:
 
 ```bash
-python -m venv .venv
-source .venv/bin/activate   # On Windows: .\.venv\Scripts\activate
+langchain==0.2.*          # LangChain core
+rich==13.*                # Pretty console output
 ```
 
 ---
 
-## 📥 Installation
+## 🚀 Installation
+
+1. **Clone the repository**
+
+   ```bash
+   git clone https://github.com/your-username/stream-ai-agent.git
+   cd stream-ai-agent
+   ```
+
+2. **Create a virtual environment (optional but recommended)**
+
+   ```bash
+   python -m venv .venv
+   source .venv/bin/activate      # On Windows: .venv\Scripts\activate
+   ```
+
+3. **Install dependencies**
+
+   ```bash
+   pip install -r requirements.txt
+   ```
+
+> If you don't have a `requirements.txt`, create one with:
+>
+> ```
+> langchain>=0.2,<0.3
+> rich>=13,<14
+> ```
+
+---
+
+## 🏃‍♂️ Running the Agent
 
 ```bash
-# Clone the repo (or copy solution.py into your project)
-git clone https://github.com/<your-username>/stream-ai-agent.git
-cd stream-ai-agent
-
-# Install dependencies
-pip install -r requirements.txt
+python client.py
 ```
 
-`requirements.txt`:
+You will see a prompt:
+
+```
+Enter your question (or type 'exit' to quit):
+```
+
+Type any query, e.g.:
+
+```
+What is 12 * 8?
+```
+
+The agent will stream its answer token by token, and if it needs to use the calculator tool, you’ll see the intermediate tool call printed in real time.
+
+---
+
+## 📌 Example Session
 
 ```text
-langchain==0.2.*
-openai==1.*
-rich==13.*
+$ python client.py
+Enter your question (or type 'exit' to quit): What is 12 * 8?
+
+> Calculating...
+> 96
+Answer: 96
 ```
 
-> Adjust the version numbers if you prefer newer releases.
+The `>` lines are produced by the `rich` library, showing tool calls and partial outputs as they arrive.
 
 ---
 
-## 🚀 Running the Agent
+## 🔧 Extending 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.
+- **Add more tools**: Decorate a function with `@tool(name="...", description="...")`.
+- **Change LLM**: Pass a different model to `create_agent(..., llm=...)`.
+- **Custom streaming logic**: Override the default stream handling in `agent.py`.
 
 ---
 
-## 📄 Example
+## 📄 License
 
-```text
-$ python solution.py
-🤖  What is the capital of France?
-🇫🇷  Paris
-```
+MIT © 2026
 
-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! 🚀
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+---```
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