Visual LLM builder
How to use Flowise with Rapid Router
In Flowise, the ChatOpenAI Custom node (or ChatOpenAI with a BasePath) runs against any OpenAI-shaped endpoint. Set the base path and model name on the node.
Setup
- Drag a ChatOpenAI Custom node onto the canvas.
- Connect an OpenAI API credential holding your Rapid Router key.
- Model Name: the catalog string. Under Additional Parameters, BasePath: the URL below.
Node: ChatOpenAI Custom
Model Name: anthropic/claude-sonnet-5
BasePath: https://rapidrouter.ai/api/v1
Credential: OpenAI API key = <your Rapid Router key>Field names as in Flowise at the time of writing; their UI moves, the three values do not. Flowise site.
Pick a model
The catalog lists every live model with its price per million tokens. For a coding tool, a strong model for edits and a cheap one for questions is the usual pair; the cost calculator shows what a month of your usage costs on each.
Common questions
Which model string do I put in Flowise?
Any id from the catalog, in the vendor/model shape, for example anthropic/claude-sonnet-5. The models page lists every live id with its price; copy it exactly.
Does Flowise need anything else to work with Rapid Router?
No. Rapid Router exposes the OpenAI chat completions API at https://rapidrouter.ai/api/v1, which is the shape Flowise already sends. Streaming, tool calling and JSON mode work where the model supports them.
How is usage from Flowise billed?
Per request at the provider's list price per million tokens, debited from your prepaid balance. Create a separate key for Flowise and the dashboard shows its spend on its own; you can cap it monthly.
Is there a free allowance to test with?
Yes. Every account gets a daily allowance of free requests on eligible models before any top-up, so the first session costs nothing.