Fireworks AI

Fireworks AI provides hosted generative and embedding models that can be used directly from Dify.

Features

• Provides llm, text-embedding models in Dify.
• Includes predefined llm models such as llama-v3-70b-instruct, mixtral-8x7b-instruct, llama-v3-8b-instruct.
• Includes predefined text embedding models such as UAE-Large-V1, nomic-embed-text-v1, gte-large.
• Supports predefined model and customizable model configuration.

Setup

1. Install this plugin from the Dify Marketplace.
2. Get the required credentials from Fireworks AI.
3. Add the credentials in the plugin settings.
4. Save the configuration.

Configuration Options

Attach Dify app_id as request metadata

This plugin offers an optional Attach Dify app_id as request metadata credential that is disabled by default. When enabled, the plugin attaches the current Dify and a source marker as a field via the argument to the underlying SDK call.

The Fireworks API is OpenAI-compatible and silently ignores unknown body fields, so the metadata travels alongside the rest of the request payload and is used for observability / proxy-side propagation. Fireworks does not currently consume the metadata. Default is , so the request shape is unchanged unless you opt in.

Usage

Select Fireworks AI as the model provider in Dify, choose an available model, and use it in applications, agents, or workflows.

Privacy

This plugin sends the inputs required by the selected operation to the upstream service. Review the upstream service's privacy policy before use.