What does openai/plugins-quickstart do?

This project is a starter kit and boilerplate for developing plugins that extend ChatGPT functionality via external APIs. It serves as a reference implementation for building tools that enable large language models to perform tasks through sequenced API calls and structured data mapping.

What are the main features of openai/plugins-quickstart?

The main features of openai/plugins-quickstart are: ChatGPT Plugin Development, Boilerplates, External Service Integrations, LLM Tool Definitions, LLM Tool Orchestration, OpenAPI Specifications, API Request Authentication, Token-Based Authentication.

What are some open-source alternatives to openai/plugins-quickstart?

Open-source alternatives to openai/plugins-quickstart include: octokit/octokit.rb — Octokit.rb is a Ruby client library and REST API wrapper used to programmatically interact with GitHub. It provides a… mcp-use/mcp-use — mcp-use is a development framework designed for building, deploying, and managing servers, clients, and autonomous… inventree/inventree — InvenTree is an open-source inventory management platform built on Django, designed for tracking parts, stock levels,… serversideup/financial-freedom — Financial Freedom is an open-source, self-hosted personal finance platform designed for tracking budgets, managing… requestly/requestly. sqlpad/sqlpad — Sqlpad is a web-based SQL client and multi-tenant workbench used for writing, executing, and saving queries across…

Plugins Quickstart - build ChatGPT plugins vi…

Plugins Quickstart - build ChatGPT plugins vi… | Awesome Repos

Features

ChatGPT Plugin Development - Serves as a comprehensive starter kit for developing plugins that extend ChatGPT via external APIs.
Boilerplates - Provides a boilerplate project for the rapid development and deployment of ChatGPT plugins.
External Service Integrations - Provides the capability to convert natural language instructions into executable calls to external services.
LLM Tool Definitions - Defines API schemas and tool sets that enable LLMs to perform complex real-world tasks.
LLM Tool Orchestration - Implements a framework for orchestrating external API calls to allow LLMs to complete complex tasks.
OpenAPI Specifications - Provides OpenAPI specifications that allow language models to discover and call available API functions.
API Request Authentication - Implements identity verification mechanisms to secure communication between the agent and third-party applications.
Token-Based Authentication - Secures API access using token-based authentication in request headers to verify authorized agents.
External API Integrations - Integrates natural language interfaces with third-party REST services to retrieve data or trigger actions.
Agent Handshake Configurations - Provides a guide for configuring secure handshakes and identity verification between agents and backend servers.
Request Chaining - Enables chaining of multiple API requests by passing outputs from one call as inputs to the next.
Interface-Based Request Routing - Directs AI-generated requests to specific external endpoints based on API interface definitions.
JSON-RPC Implementations - Uses the JSON-RPC protocol for structured communication between the AI agent and the backend server.
Provider API Authentications - Offers a reference implementation for authenticating requests from a language model to third-party service providers.
Natural Language Parameter Mapping - Implements logic to translate natural language user prompts into structured arguments for external API calls.
Prompt-to-API Mapping Templates - Provides a structural template for mapping natural language prompts to structured REST API requests.
Stateless REST APIs - Employs a stateless REST architecture to handle AI agent requests as independent transactions.
More to explore - Provides starter templates for AI plugin development.

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openaiplugins-quickstartArchived