# `Agent`

## Overview
The `Agent` class is a fundamental component of the MiniAutoGen framework, representing an individual agent within the system. Each agent is characterized by unique attributes and functionalities that enable it to participate actively in multi-agent conversations.

## Class Definition

### `class Agent`

#### Description:
The `Agent` class models an agent with specific attributes and capabilities, essential for dynamic interactions in the multi-agent system.

#### Attributes:
- `agent_id` (`int`): Uniquely identifies the agent within the system.
- `name` (`str`): The human-readable name of the agent.
- `role` (`str`): The designated role or function of the agent within a conversation or task.
- `pipeline` (`Pipeline`, optional): An object representing the processing pipeline of the agent. If not specified, defaults to `None`.
- `status` (`str`): Indicates the current status of the agent, with a default value of `"available"`.

#### Methods:

##### `__init__(self, agent_id, name, role, pipeline=None)`
- **Purpose**: Initializes a new instance of the `Agent` class.
- **Arguments**:
  - `agent_id` (`int`): The ID of the agent.
  - `name` (`str`): The name of the agent.
  - `role` (`str`): The role of the agent.
  - `pipeline` (`Pipeline`, optional): The processing pipeline for the agent. Defaults to `None`.
  
##### `generate_reply(self, state)`
- **Purpose**: Generates a reply based on the given state.
- **Arguments**:
  - `state` (`State`): The state object to process.
- **Returns**: A string (`str`) representing the generated reply.

##### `get_status(self)`
- **Purpose**: Retrieves the current status of the agent.
- **Returns**: The status of the agent as a string (`str`).

##### `from_json(json_data)`
- **Purpose**: Static method to create an `Agent` instance from JSON data.
- **Arguments**:
  - `json_data` (`dict`): The JSON data representing the agent.
- **Returns**: An instance of `Agent`.
- **Raises**:
  - `ValueError`: If the JSON data is missing any of the required keys (`agent_id`, `name`, `role`).

## Example Usage

### Creating an Agent
```python
my_agent = Agent(agent_id=1, name="ChatBot", role="Responder")
```

### Generating a Reply
Assuming `current_state` is an instance of `State`:
```python
reply = my_agent.generate_reply(current_state)
print(reply)
```

### Retrieving Agent Status
```python
status = my_agent.get_status()
print(f"Agent Status: {status}")
```

### Creating an Agent from JSON
```python
json_data = {"agent_id": 2, "name": "DataBot", "role": "Analyzer"}
data_bot = Agent.from_json(json_data)
```

## Notes
- The `Agent` class is designed to be flexible and adaptable, fitting into various roles and workflows within the MiniAutoGen framework.
- The `pipeline` attribute allows for customization of the agent's processing capabilities, enabling it to handle specific types of states or tasks.