> ## 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.environments.models

<a id="camel.environments.models" />

<a id="camel.environments.models.Action" />

## Action

```python theme={"system"}
class Action(BaseModel):
```

Represents an action taken in an environment.

This class defines the input context, the LLM-generated output, and
metadata required for verification and tracking within an RL
framework.

**Parameters:**

* **llm\_response** (str): The response generated by the LLM.
* **metadata** (Dict\[str, Any]): Additional metadata such as model parameters, prompt details, or response confidence scores.
* **timestamp** (datetime): The timestamp when the action was generated (UTC).

<a id="camel.environments.models.Observation" />

## Observation

```python theme={"system"}
class Observation(BaseModel):
```

Environment observation.

**Parameters:**

* **question**: The question posed to the LLM.
* **context**: Additional context for the question.
* **metadata**: Optional metadata about the observation.

<a id="camel.environments.models.StepResult" />

## StepResult

```python theme={"system"}
class StepResult(BaseModel):
```

Result of an environment step.

**Parameters:**

* **observation**: The next observation.
* **reward**: Dictionary of reward scores for different aspects.
* **done**: Whether the episode is complete.
* **info**: Additional information about the step.

<a id="camel.environments.models.StepResult.as_tuple" />

### as\_tuple

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

Returns all fields of the model as a tuple, in declaration order