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  • Description
  • Inputs
  • Component settings
  • Advanced configurations
  • Outputs

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  1. Flows
  2. Component Reference
  3. Public AI/LLM Models

OpenRouter

Use OpenRouter's models with your own API Key

Last updated 1 month ago

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Description

The OpenRouter component allows you to integrate OpenRouter into your flows. You can customize the parameters used by OpenRouter component, and also specify the context of knowledge that the OpenRouter component operates on, as well as provide the input query.

The OpenRouter component UI changes depending on the model selected, as each model has differing available options. You can specify the exact model to run with the "Model" dropdown menu. These models range from Text to Image, GPT Chat, GPT Vision, Text to Speech models and more. See the Parameters table for more information on the available models to use.

The OpenRouter component has the identifier of opa-X, where X represents the instance number of the OpenRouter component.

Inputs

The OpenRouter component has the following input connections.

Input Name
Description
Constraints

From data Loaders/ Data source/Vector DB

This input connection represents the context information for the OpenRouter model

Must originate from a Data Loader/Data Source or VectorDB component.

From Input

This input connection represents the user query for the OpenRouter model.

Must originate from a component that generates a text string as output such as a Python or Text Input component.

Component settings

Parameter Name
Description

Credentials

You can specify to use your own OpenRouter credentials

Model

The list of models displayed depends on the customer's credential.

Prompt

Describes how you want the OpenRouter model to respond. For example, you can specify the role, manner and rules that OpenRouter should adhere to. Also mention the component ID to connect the components.

Advanced configurations

Options
Description

Enable caching

This option determines whether the results of the component are cached. This means that on the next run of the Flow, Diaflow will utilize the previous computed component output, as long as the inputs have not changed.

Caching time

Only applicable if the "Enable Caching" option has been enabled. This parameter controls how long Diaflow will wait before automatically clearing the cache.

Max Token

The users input max token

Outputs

The OpenRouter component has the following output connections.

Output Name
Description
Constraints

To Output

This output connection contains the text result of the OpenRouter component.

Can be connected to any component that accepts a string input.

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