Integrate Function Calling In a Matter of
Minutes.
Use frameworks and services designed to reduce the complexity of integrating
OpenAI Assistants.
Function Calling Rocks But, It Is Full of
Gaps and
Obstacles.
On the surface it sounds amazing, right? I mean who doesn't want to
empower their OpenAI Assistants with custom
code? But how the hell does it work and
how can I integrate it right now?!
Function calling without Func Runner comes with some challenges.
Function calling currently faces problems with...
No repeatable way of integrating function-calling across multiple applications.
Lack of developer education and exposure, it is yet another thing you have to learn how to use.
No meaningful documentation on how to implement function-calling in a production-grade application.
No separation of concerns, your software will turn into a big bowl of spaghetti 🍝.
Lacks tracking of function calling requests. If the app crashes it will end up costing you more in OpenAI
service fees.
Frustrated developers gave up and constrained responses to a JSON format, but it still can't call external
services.
Focus On Building Your Apps,
Func Runner Will Handle
The Rest.
I have spent over 100+ hours tweaking and streamlining the function-calling process loop to make your life
as a developer much, much easier.
What does a Func Runner application
look like and what does it give me?
Automatically registers your custom code with your assistant.
Automatically executes your custom code when requested by your assistant.
Automatically returns the results of your custom code back to your assistant.
How can I start using Func Runner
without rewriting my existing application?
Designed to coexist with the official OpenAI libraries.
Dead simple adoption that requires you to only change two lines of configuration.
Automatically intercepts and routes function execution requests to your application.
Function Calling Essentials Plan
A simple pricing plan with no gimmicks. Cancel anytime or
stay and build the next greatest thing!