* Retrieve a row in a Google Sheet
* Draft a reply in Gmail
* … and thousands more actions with one universal API
We optimized NLA for use cases that receive user input in natural language (think chatbots, assistants, or any product/feature using LLMs) — but not strictly required! Folks have asked for an API for 10 years and I’ve always been slightly embarrassed we didn’t have one. We hesitated because we did not want to pass along our universe of complexity to end devs. With the help of LLMs we found some cool patterns to deliver the API we always wanted. My co-founder/CTO Bryan did an interview with Garry on YC blog with more details: https://www.ycombinator.com/blog/building-apis-for-ai-an-int… We also published a LangChain integration to show off some possibilities: * Demo: https://www.youtube.com/watch?v=EEK_9wLYEHU
* Jupyter notebook: https://github.com/hwchase17/langchain/blob/master/docs/modules/utils/examples/zapier.ipynb
We know the API is not perfect but we’re excited and eager for feedback to help shape it.
Story Published at: March 22, 2023 at 04:32PM