LiteLLM

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.

The LiteLLM bundle component connects to models through a LiteLLM proxy, which routes requests to multiple LLM providers. Using a proxy lets you change model providers without changing credentials in your flows. You authenticate to the proxy using a single key, and the proxy then uses its own configured credentials to call providers. Virtual keys are created by the proxy administrator. For more information on managing virtual keys, see Virtual Keys in the LiteLLM documentation.

LiteLLM Proxy text generation

The LiteLLM Proxy component generates text using an LLM provider.

It can output either a Model Response (Message) or a Language Model (LanguageModel).

Use the Language Model output when you want to use a LiteLLM proxy-backed model as the LLM for another LLM-driven component, such as an Agent or Smart Transform component.

For more information, see Language model components.

LiteLLM Proxy 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	Type	Description
api_base	String	Input parameter. Base URL of the LiteLLM proxy. Default: "http://localhost:4000/v1".
api_key	String	Input parameter. Virtual key for authentication with the LiteLLM proxy.
model_name	String	Input parameter. Model name to use, such as gpt-4o, claude-3-opus.
temperature	Float	Input parameter. Controls randomness. Lower values are more deterministic. Range: [0.0, 2.0]. Default: 0.7.
max_tokens	Integer	Input parameter. Maximum number of tokens to generate. Set to 0 for no limit. Range: [0, 128000]. Advanced.
timeout	Integer	Input parameter. Request timeout in seconds. Default: 60.
max_retries	Integer	Input parameter. Maximum number of retries on failure. Default: 2.
stream	Boolean	Input parameter. Whether to stream the response.