Overview
The OpenRouter LLM node sends a text prompt to a curated set of popular language models available through the OpenRouter service and returns the generated text response. It supports models from providers like xAI, DeepSeek, Qwen, Mistral, Z.AI (GLM), Moonshot (Kimi), and Perplexity Sonar, and can optionally include images or videos in the request.Inputs
| Parameter | Description | Data Type | Required | Range |
|---|---|---|---|---|
prompt | Text input to the model. | STRING | Yes | N/A |
model | The OpenRouter model used to generate the response. | STRING | Yes | Multiple options available (see note below) |
seed | Seed for sampling. Set to 0 to omit. Most models treat this as a hint only. (default: 0) | INT | Yes | 0 to 2147483647 |
system_prompt | Foundational instructions that dictate the model’s behavior. (default: "") | STRING | No | N/A |
model parameter: The available model options are dynamically built and may include models with different capabilities. Some models support additional features like reasoning effort, web search, or image/video inputs. The node will validate that the number of images or videos provided does not exceed the model’s maximum supported count.
Note on seed parameter: The seed parameter has a “control_after_generate” behavior, meaning it can be set to automatically change (e.g., randomize, increment, or fixed) after each node execution, depending on the user’s widget settings.
Note on system_prompt: This parameter is optional and is marked as an advanced parameter in the user interface.
Outputs
| Output Name | Description | Data Type |
|---|---|---|
output | The generated text response from the OpenRouter model. | STRING |
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