# Agent.getLLM()

The `.getLLM()` method retrieves the language model instance configured for an agent, resolving it if it's a function. This method provides access to the underlying LLM that powers the agent's capabilities.

## Usage example

```typescript
await agent.getLLM()
```

## Parameters

**options** (`{ requestContext?: RequestContext; model?: MastraLanguageModel | DynamicArgument<MastraLanguageModel> }`): Optional configuration object containing request context and optional model override. (Default: `{}`)

**options.requestContext** (`RequestContext`): Request Context for dependency injection and contextual information.

**options.model** (`MastraLanguageModel | DynamicArgument<MastraLanguageModel>`): Optional model override. If provided, this model will be used used instead of the agent's configured model.

## Returns

**llm** (`MastraLLMV1 | Promise<MastraLLMV1>`): The language model instance configured for the agent, either as a direct instance or a promise that resolves to the LLM.

## Extended usage example

```typescript
await agent.getLLM({
  requestContext: new RequestContext(),
  model: 'openai/gpt-5.4',
})
```

## Related

- [Agents overview](https://mastra.ai/docs/agents/overview)
- [Request Context](https://mastra.ai/docs/server/request-context)