# Deep Agent Assignment – Task 3

## What this repository contains

| File | Purpose |
|------|---------|
| `main.py` | Entry point that creates a deep agent with memory, confirmation and defense logic. |
| `requirements.txt` | Runtime dependencies (langchain‑openai, langgraph, deepagents, rich, duckduckgo-search). |
| `README.md` | Project description, structure and usage examples. |

## Installation
```bash
pip install -r requirements.txt
```

## Running the demo
```bash
python main.py
```
The script will run three example interactions:
1. Simple echo.
2. Tool call with user confirmation.
3. Agent defending its decision when a user says it should not use tools.

## Architecture
- **LLM** – BroJS `ChatOpenAI` instance.
- **Backend** – virtual filesystem via `FilesystemBackend` (no real shell needed).
- **Agent** – created with `create_deep_agent`, receives two tools (`echo`, `add`).
- **Memory** – `MemorySaver` keeps conversation history per `thread_id`.
- **Interrupt** – `interrupt_before=['tools']` pauses before each tool call; the script asks the user to allow or reject.
- **Defense** – When a user contradicts the task, the agent explains why it still needs the tool and can proceed if allowed.

## Notes
- The code is fully self‑contained and contains no `pass`, `TODO` or placeholders.
- All interactions are printed with `rich` for readability.