# Deep Agent from Scratch

This repository demonstrates a **Deep Agent** implementation using the **LangChain** library.  
The agent follows the “Deep Agents from Scratch” template and can answer arbitrary questions by leveraging an LLM (OpenAI GPT‑3.5‑Turbo by default). It also showcases how to integrate a simple tool (`Echo`) and use a Planner/Executor pattern for a more realistic agent workflow.

## Features

- Implements the **Planner** and **Executor** pattern from the Deep Agents from Scratch template.
- Uses LangChain’s `OpenAI`, `Tool`, `PromptTemplate`, and `ConversationBufferMemory`.
- Configurable LLM model, temperature, and token limits.
- Simple command‑line interface for quick testing.
- Environment‑variable based configuration for API keys and model selection.
- Demonstrates tool integration (Echo tool) and the full agent template.

## Prerequisites

- Node.js 18+ (or any LTS version)
- An OpenAI API key

## Setup

```bash
# Clone the repository
git clone https://git.brojs.ru/kuzakhmetovartur/8.-samopisnyy-poiskovyy-agent-na-osnove-
cd 8.-samopisnyy-poiskovyy-agent-na-osnove-

# Install dependencies
npm install
```

Create a `.env` file in the project root:

```dotenv
OPENAI_API_KEY=your_openai_api_key_here
OPENAI_MODEL=gpt-3.5-turbo   # optional, defaults to gpt-3.5-turbo
```

> **Tip:** Keep your `.env` file out of version control. Add it to `.gitignore` if you plan to push the repo.

## Usage

Run the agent with a question:

```bash
npm start -- "What is the tallest mountain in the world?"
```

Or simply:

```bash
node src/index.js "Your question here"
```

The agent will output the answer to the console.

## Project Structure

```
├── package.json          # Project metadata and dependencies
├── src/
│   ├── deepAgent.js      # Core DeepAgent implementation (Planner/Executor)
│   └── index.js          # CLI entry point
└── README.md             # Documentation
```

## Extending the Agent

- **Add more sophisticated prompts**: Edit the `Planner` prompt in `deepAgent.js`.
- **Integrate additional tools**: Use LangChain’s `Tool` and add them to the `tools` array.
- **Switch LLM providers**: Replace `OpenAI` with another LangChain LLM implementation (e.g., `AzureOpenAI`, `Anthropic`).

## License

MIT © 2026

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