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> Discover all available pages from the documentation index: https://mastra.ai/llms.txt # Agent.getLLM() The `.getLLM()` method retrieves the language model instance configured for an agent, resolving it if it's a function. You can also pass a request-scoped `model` override without mutating the agent's configured model. ## Usage example ```typescript await agent.getLLM() ``` ```typescript await agent.getLLM({ model: 'openai/gpt-5.5', }) ``` ## Parameters **options** (`{ requestContext?: RequestContext; model?: MastraModelConfig | DynamicArgument<MastraModelConfig> }`): Optional configuration object containing request context and an optional request-scoped model override. (Default: `{}`) **options.requestContext** (`RequestContext`): Request Context for dependency injection and contextual information. **options.model** (`MastraModelConfig | DynamicArgument<MastraModelConfig>`): Optional request-scoped model override. The agent's configured model is not mutated. ## 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-5.5', }) ``` ## Related - [Agents overview](https://mastra.ai/docs/agents/overview) - [Request Context](https://mastra.ai/docs/server/request-context)