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An LLM Action allows your agent to perform a specialized reasoning task using a separate prompt and model configuration.

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When to use LLM Actions

Use LLM Actions for atomic tasks that require reasoning but don’t necessarily need a full, stateful subagent.
  • Summarization: Condensing a long session history or a document.
  • Translation: Converting user input or agent output into a different language.
  • Formatting: Transforming unstructured text into a specific JSON schema or markdown format.

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Configuration

You can define a unique system prompt, select a specific model (e.g., a smaller, faster model for simple tasks), and set hyperparameters specifically for this action.