# llm\_chat

#### `llm_chat`: Basic Chat Interaction

Enables simple text-based conversations with the language model.

```python
def llm_chat(
    agent_name: str, 
    messages: List[Dict[str, Any]], 
    base_url: str = aios_kernel_url,
    llms: List[Dict[str, Any]] = None
) -> LLMResponse
```

**Parameters:**

* `agent_name`: Identifier for the agent making the request
* `messages`: List of message dictionaries (system, user, assistant)
* `base_url`: API endpoint URL (default: configured AIOS kernel URL)
* `llms`: Optional list of LLM configurations to use

**Returns:**

* `LLMResponse` object containing the model's text response

**Example:**

```python
# Basic chat interaction
response = llm_chat(
    "my_assistant",
    messages=[
        {"role": "system", "content": "You are a helpful AI assistant."},
        {"role": "user", "content": "What are the main features of Python?"}
    ]
)
print(response["response"]["response_message"])
```