> For the complete documentation index, see [llms.txt](https://documentation.proto.cx/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://documentation.proto.cx/docs/modules/ai-agents/workflows-and-actions/llm-processing.md).

# LLM Processing

The LLM Processing action sends a prompt to a configured LLM at any point in the chat flow, returning the result for use in downstream actions.

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Select an LLM Processing action from the tree to open its settings:

* **Input** – the text prompt sent to the LLM. Supports chat variables.
* **Script** – toggle to supply the input as a chat script expression instead.
* **Model** – the LLM to use: DeepSeek V2 , GPT-4o , Qwen 2.5 , Llama 3.2
* **Temperature** – controls response randomness. Range: 0.0–2.0. Default: 1.
* **System Prompt** – prompt template used to provide instructions or context to the LLM when generating responses.
* **Script** – toggle to supply the system prompt as a chat script expression instead.
* Use **Knowledge** info to provide more context – toggles whether the LLM can access training sources from the LLM tab.
* **Resulting variable** – the name of the chat variable that will store the LLM’s response.

Press **Save** to confirm edits.

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#### Outcome branches

The action branches into Success, Error, and Timeout outcomes. Nest subsequent actions under each branch as needed.


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