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

# semantic_router.llms.ollama

## OllamaLLM Objects

```python theme={null}
class OllamaLLM(BaseLLM)
```

LLM for Ollama. Enables fully local LLM use, helpful for local implementation of
dynamic routes.

#### \_\_init\_\_

```python theme={null}
def __init__(name: str = "openhermes",
             temperature: float = 0.2,
             max_tokens: Optional[int] = 200,
             stream: bool = False)
```

Initialize the OllamaLLM.

**Arguments**:

* `name` (`str`): The name of the Ollama model to use.
* `temperature` (`float`): The temperature of the LLM.
* `max_tokens` (`Optional[int]`): The maximum number of tokens to generate.
* `stream` (`bool`): Whether to stream the response.

#### \_\_call\_\_

```python theme={null}
def __call__(messages: List[Message],
             temperature: Optional[float] = None,
             name: Optional[str] = None,
             max_tokens: Optional[int] = None,
             stream: Optional[bool] = None) -> str
```

Call the OllamaLLM.

**Arguments**:

* `messages` (`List[Message]`): The messages to pass to the OllamaLLM.
* `temperature` (`Optional[float]`): The temperature of the LLM.
* `name` (`Optional[str]`): The name of the Ollama model to use.
* `max_tokens` (`Optional[int]`): The maximum number of tokens to generate.
* `stream` (`Optional[bool]`): Whether to stream the response.