Cloudflare

tip

This provider is an extra of the lfx-bundles metapackage. It is opt-in for both Langflow and standalone LFX installs:

uv pip install "lfx-bundles[<bundle>]"

Replace <bundle> with this page's provider name, for example qdrant. For a torch-free full Langflow install, run uv pip install "langflow[bundles]". For standalone LFX with every provider in lfx-bundles, including PyTorch-based providers, run uv pip install "lfx[bundles]". See Additional bundles for the exact extra name.

Bundles contain custom components that support specific third-party integrations with Langflow.

This page describes the components that are available in the Cloudflare bundle.

Cloudflare Workers AI Embeddings

The Cloudflare Workers AI Embeddings component generates embeddings using Cloudflare Workers AI models.

For more information about using embedding model components in flows, see Embedding model components.

Cloudflare Workers AI Embeddings parameters

Some parameters are hidden by default in the visual editor. You can modify all component parameters through the component inspection panel that appears when you select a component.

Name	Display Name	Info
account_id	Cloudflare account ID	Input parameter. Your Cloudflare account ID.
api_token	Cloudflare API token	Input parameter. Your Cloudflare API token.
model_name	Model Name	Input parameter. A supported model for embedding generation.
strip_new_lines	Strip New Lines	Input parameter. Whether to strip new lines from the input text.
batch_size	Batch Size	Input parameter. The number of texts to embed in each batch.
api_base_url	Cloudflare API base URL	Input parameter. The base URL for the Cloudflare API.
headers	Headers	Input parameter. Additional headers for the embedding generation API request.