> ## Documentation Index
> Fetch the complete documentation index at: https://docs.camel-ai.org/llms.txt
> Use this file to discover all available pages before exploring further.

# Camel.agents.embodied agent

<a id="camel.agents.embodied_agent" />

<a id="camel.agents.embodied_agent.EmbodiedAgent" />

## EmbodiedAgent

```python theme={"system"}
class EmbodiedAgent(ChatAgent):
```

Class for managing conversations of CAMEL Embodied Agents.

**Parameters:**

* **system\_message** (BaseMessage): The system message for the chat agent.
* **model** (BaseModelBackend, optional): The model backend to use for generating responses. (default: :obj:`OpenAIModel` with `GPT_4O_MINI`)
* **message\_window\_size** (int, optional): The maximum number of previous messages to include in the context window. If `None`, no windowing is performed. (default: :obj:`None`)
* **tool\_agents** (List\[BaseToolAgent], optional): The tools agents to use in the embodied agent. (default: :obj:`None`)
* **code\_interpreter** (BaseInterpreter, optional): The code interpreter to execute codes. If `code_interpreter` and `tool_agent` are both `None`, default to `SubProcessInterpreter`. If `code_interpreter` is `None` and `tool_agents` is not `None`, default to `InternalPythonInterpreter`. (default: :obj:`None`)
* **verbose** (bool, optional): Whether to print the critic's messages.
* **logger\_color** (Any): The color of the logger displayed to the user. (default: :obj:`Fore.MAGENTA`)

<a id="camel.agents.embodied_agent.EmbodiedAgent.__init__" />

### **init**

```python theme={"system"}
def __init__(
    self,
    system_message: BaseMessage,
    model: Optional[BaseModelBackend] = None,
    message_window_size: Optional[int] = None,
    tool_agents: Optional[List[BaseToolAgent]] = None,
    code_interpreter: Optional[BaseInterpreter] = None,
    verbose: bool = False,
    logger_color: Any = Fore.MAGENTA
):
```

<a id="camel.agents.embodied_agent.EmbodiedAgent._set_tool_agents" />

### \_set\_tool\_agents

```python theme={"system"}
def _set_tool_agents(self, system_message: BaseMessage):
```

<a id="camel.agents.embodied_agent.EmbodiedAgent._get_tool_agents_prompt" />

### \_get\_tool\_agents\_prompt

```python theme={"system"}
def _get_tool_agents_prompt(self):
```

**Returns:**

str: The action space prompt.

<a id="camel.agents.embodied_agent.EmbodiedAgent.get_tool_agent_names" />

### get\_tool\_agent\_names

```python theme={"system"}
def get_tool_agent_names(self):
```

**Returns:**

List\[str]: The names of tool agents.

<a id="camel.agents.embodied_agent.EmbodiedAgent.step" />

### step

```python theme={"system"}
def step(self, input_message: BaseMessage):
```

Performs a step in the conversation.

**Parameters:**

* **input\_message** (BaseMessage): The input message.

**Returns:**

ChatAgentResponse: A struct containing the output messages,
a boolean indicating whether the chat session has terminated,
and information about the chat session.