docs/versioned_docs/version-1.8.0/Components/bundles-openrouter.mdx
import Icon from "@site/src/components/icon"; import PartialParams from '@site/docs/_partial-hidden-params.mdx';
<Icon name="Blocks" aria-hidden="true" /> Bundles contain custom components that support specific third-party integrations with Langflow.
This page describes the components that are available in the OpenRouter bundle.
For more information about OpenRouter features and functionality used by OpenRouter components, see the OpenRouter documentation.
This component generates text using OpenRouter's unified API for multiple AI models from different providers.
It can output either a Model Response (Message) or a Language Model (LanguageModel).
Use the Language Model output when you want to use an OpenRouter model as the LLM for another LLM-driven component, such as an Agent or Smart Transform component.
For more information, see Language model components.
| Name | Type | Description |
|---|---|---|
| api_key | SecretString | Input parameter. Your OpenRouter API key for authentication. |
| site_url | String | Input parameter. Your site URL for OpenRouter rankings. |
| app_name | String | Input parameter. Your app name for OpenRouter rankings. |
| provider | String | Input parameter. The AI model provider to use. |
| model_name | String | Input parameter. The specific model to use for chat completion. |
| temperature | Float | Input parameter. Controls randomness in the output. Range: [0.0, 2.0]. Default: 0.7. |
| max_tokens | Integer | Input parameter. The maximum number of tokens to generate. |