How to integrate custom Python tools into a Flowise agentic workflow?
3 answers
To use custom Python in Flowise, you should look into the "Custom Tool" node. You essentially define the input schema as a JSON object and then write your logic. One thing to remember is that since Flowise is built on Node.js, running Python requires the environment to have access to the Python executable. I usually wrap my logic in a simple API and use the "HTTP Request" node instead. It’s much cleaner and allows me to scale the processing power of the Python script independently of the main orchestration server. This approach has saved me many debugging hours.
Have you tried the newer "Javascript Function" node as an alternative if your logic isn't strictly dependent on Python libraries?
You can reference variables using the $vars syntax. It takes a bit of trial and error to get the mapping right, but once it's set, it's very reliable.
Thanks, Brandon. Mapping those outputs correctly is the hardest part of Flowise, but the visual debugger helps identify where the data flow is breaking during the testing phase.
I would prefer Python because I'm using Pandas for some heavy data manipulation. Does Flowise support environment variables inside the Custom Tool node to securely manage my API keys during the script execution?