apiclient-pydantic-generator
gorilla
apiclient-pydantic-generator | gorilla | |
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1 | 52 | |
29 | 10,276 | |
- | - | |
0.0 | 8.9 | |
6 months ago | 5 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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apiclient-pydantic-generator
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Show HN: OpenAPI DevTools – Chrome ext. that generates an API spec as you browse
You could potentially go one step further and make Python classes that wrap the whole API automatically from the OpenAPI file: https://github.com/mom1/apiclient-pydantic-generator
gorilla
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Launch HN: Nango (YC W23) – Open-Source Unified API
Do you leverage https://gorilla.cs.berkeley.edu/ at all? If not, perhaps consider if it would solve some pain for you.
- Autonomous LLM agents with human-out-of-loop
- Show HN: I made a script to scrape your Facebook group
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Pushing ChatGPT's Structured Data Support to Its Limits
* Gorilla [https://github.com/ShishirPatil/gorilla]
Could be interesting to try some of these exercises with these models.
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Guidance for selecting a function-calling library?
gorilla
- Gorilla: An API Store for LLMs
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Show HN: OpenAPI DevTools – Chrome ext. that generates an API spec as you browse
Nice this made me go back and check up on the Gorilla LLM project [1] to see whats they are doing with API and if they have applied their fine tuning to any of the newer foundation models but looks like things have slowed down since they launched (?) or maybe development is happening elsewhere on some invisible discord channel but I hope the intersection of API calling and LLM as a logic processing function keep getting focus it's an important direction for interop across the web.
[1] https://github.com/ShishirPatil/gorilla
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RestGPT
"Gorilla: Large Language Model Connected with Massive APIs" (2023) https://gorilla.cs.berkeley.edu/ :
> Gorilla enables LLMs to use tools by invoking APIs. Given a natural language query, Gorilla comes up with the semantically- and syntactically- correct API to invoke. With Gorilla, we are the first to demonstrate how to use LLMs to invoke 1,600+ (and growing) API calls accurately while reducing hallucination. We also release APIBench, the largest collection of APIs, curated and easy to be trained on! Join us, as we try to expand the largest API store and teach LLMs how to write them!
eval/:
- Calling APIs with Natural Language
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Shishir Patil: Teaching AI to Use APIs with Gorilla LLM – Humans of AI Podcast
Humans of AI Podcast #7
An amazing conversation with Shishir Patil the creator of the Gorilla LLM, a large language model specifically trained to use APIs!
Shishir is currently a 5th year PhD student at the University of California, Berkeley whose work broadly covers ML-Systems, LLMs, Edge-ML, and Sky computing.
Definitely give the episode a listen to hear Shishir's story.
And to read more about #GorillaLLM, check out the project page!
https://gorilla.cs.berkeley.edu
What are some alternatives?
openapi-devtools - Browser extension that generates API specs for any app or website
DB-GPT - AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents
scalar - Beautiful API references from OpenAPI/Swagger files ✨
Voyager - An Open-Ended Embodied Agent with Large Language Models
requests-openapi - A lightweight but powerful and easy-to-use Python client library for OpenAPI v3.
gorilla-cli - LLMs for your CLI
api2ai - Create API agents from OpenAPI Specs
Gin - Gin is a HTTP web framework written in Go (Golang). It features a Martini-like API with much better performance -- up to 40 times faster. If you need smashing performance, get yourself some Gin.
DefinitelyTyped - The repository for high quality TypeScript type definitions.
GirlfriendGPT - Girlfriend GPT is a Python project to build your own AI girlfriend using ChatGPT4.0
OpenAPI-Specification - The OpenAPI Specification Repository
SuperAGI - <⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.