32dots HEIDELBERG AI
Session 3 medium

Bring your own models, keys & vector store

LESSONLesson 3 · ~20 min

🎯Goal. Swap the model behind your flow for a different provider, and understand the bring-your-own-keys model that keeps Langflow free.

▶ Try this prompt

Open the Language Model block in your flow and switch its provider — for example from OpenAI to Anthropic — then paste that provider's API key and re-run the Playground.

Langflow is model-agnostic: the provider sidebar in the gallery (Anthropic, MistralAI, Langchain, Glean, Cohere, OpenAI, NVIDIA) hints at how many you can wire in.

  1. 1Langflow works with major LLMs and vector databases — you're not locked to one vendor. To switch, open the model block, pick a different provider, and supply that provider's API key.
  2. 2Because you bring your own keys, Langflow itself stays free: there's no per-seat or per-message fee from Langflow — your only spend is the providers you choose to call.
  3. 3The same freedom applies to storage: point the flow at the vector database you prefer for retrieval. Swapping a component rarely means rebuilding the whole flow.

You'll see. The same flow answering through a different model provider after a one-block swap.

💳Cost. Free to run; costs are whatever the model and vector-DB providers you wire in charge for usage. No lock-in to a single vendor.

💡Takeaway. Model-agnostic + bring-your-own-keys means you control cost and provider — Langflow stays free while you pick the engine.