gpt-func-calling is an open-source demonstration framework that lets GPT-3.5/4 automatically invoke user-defined functions. Developers define function schemas, and the model parses user intent, calls the appropriate APIs, and returns structured JSON responses.
AI Platforms & Frameworks
Development Environment
Tool Libraries
#function calling
#API integration
#JSON handling
#automated response
#AI Developer Tools
#dynamic function use
#context-aware AI
#gpt-3.5
#gpt-4
#weather API
#business logic integration
#argument extraction
#seamless tool invocation
#reliable outputs
#data parsing
#programming toolkit
#Developer Resources
#cloud-based services
#automation in development
...
Promote this Tool
Update this Tool
gpt-func-calling
gpt-func-calling is an open-source demonstration framework that lets GPT-3.5/4 automatically invoke user-defined functions. Developers define function schemas, and the model parses user intent, calls the appropriate APIs, and returns structured JSON responses.
AI Platforms & Frameworks
Development Environment
Tool Libraries
#function calling
#API integration
#JSON handling
#automated response
#AI Developer Tools
#dynamic function use
#context-aware AI
#gpt-3.5
#gpt-4
#weather API
#business logic integration
#argument extraction
#seamless tool invocation
#reliable outputs
#data parsing
#programming toolkit
#Developer Resources
#cloud-based services
#automation in development
...
Featured
What is gpt-func-calling?
gpt-func-calling is a developer toolkit that showcases OpenAI’s function calling feature, allowing chat-based AI to interact with external services. By defining function signatures in JSON, developers guide GPT-3.5/4 to recognize when to call a function, automatically format arguments, and handle the response in a structured manner. This streamlines integration with weather APIs, database queries, or custom business logic, ensuring consistent, reliable outputs without manual parsing.
Who will use gpt-func-calling?
- AI developers
- Chatbot architects
- Software engineers
- API integrators
How to use the gpt-func-calling?
- Step1: Clone the repository from GitHub.
- Step2: Install dependencies (Python or Node.js).
- Step3: Define your functions and JSON schemas in the code.
- Step4: Update the OpenAI API key and endpoint.
- Step5: Run the example script to see GPT call your functions.
- Step6: Adapt and extend functions for your specific use cases.
Platform
- mac
- windows
- linux
gpt-func-calling's Core Features & Benefits
The Core Features
- Automatic function registration in JSON schema
- GPT-3.5/4 function calling and argument extraction
- Structured JSON output handling
- Seamless API and tool integration
The Benefits
- Reduces parsing boilerplate code
- Improves response reliability
- Simplifies external API invocation
- Enables dynamic, context-aware tool use
gpt-func-calling's Main Use Cases & Applications
- Weather chatbot fetching live forecasts
- E-commerce assistant processing orders via API
- Knowledge base agent querying databases
- Home automation controller triggering IoT devices
FAQs of gpt-func-calling
gpt-func-calling Company Information
- jiran214
gpt-func-calling Reviews
5/5
gpt-func-calling's Main Competitors and alternatives?
- LangChain
- LlamaIndex
- Microsoft Semantic Kernel
- Autogen
You may also like:
AI design agent automates workflow creating images, videos, 3D models up to 10x faster.
AI-driven chatbot for top OnlyFans creators.
Aixbt is a tokenized AI Agent optimizing revenue across applications.
theGist AI Workspace unifies work apps with AI for improved productivity.
Generate brand visuals and copy using AI to boost e-commerce sales.
GPTConsole is an AI agent designed for streamlined conversation and task automation.
GenSphere is an AI agent that automates data analysis and provides insights for informed decision-making.
Nullify automates the entire AppSec program for security teams using AI-driven solutions.
Refly.AI empowers non-technical creators to automate workflows using natural language and a visual canvas.
Langbase is an AI agent that generates and analyzes natural language content efficiently.
AiTerm: AI Terminal Assistant converting natural language to commands.
Generate intriguing facts effortlessly with our AI-powered tool.
Automate your job applications and find the perfect job with AI technology.
Intellika AI enables seamless automation of data analysis and reporting for businesses.
ScholarRoll helps students find and apply for scholarships easily.
OneReach AI simplifies interactions by automating customer engagement through intelligent messaging.
Phoenix AI Assistant helps streamline tasks using intelligent automation and personalized support.
Flowith is a canvas-based agentic workspace which offers free 🍌Nano Banana Pro and other effective models...
Letta is an AI agent that handles email responses efficiently and accurately.
Windsurf AI Agent helps optimize windsurfing conditions and gear recommendations.
Cody AI helps developers write, review, and understand code efficiently.
A solution for building customizable AI agents with LangChain on AWS Bedrock, leveraging foundation models and custom tools.
scenario-go is a Go SDK for defining complex LLM-driven conversational workflows, managing prompts, context, and multi-step AI tasks.
A ROS-based framework for multi-robot collaboration enabling autonomous task allocation, planning, and coordinated mission execution in teams.
An open-source visual IDE enabling AI engineers to build, test, and deploy agentic workflows 10x faster.
LangGraph Learn offers an interactive GUI to design and execute graph-based AI agent workflows, visualizing language model chains.
AIDE provides AI-powered code generation, debugging, documentation and package management within an integrated web IDE.
Clone, Design, and Create Expressive AI Voices in Seconds, with Perfect Sound Effects and Music.
A methodology offering twelve best practices to design, configure, and deploy scalable, maintainable AI Agents.
A Python framework for constructing multi-step reasoning pipelines and agent-like workflows with large language models.
SARL is an agent-oriented programming language and runtime providing event-driven behaviors and environment simulation for multi-agent systems.
AI Library is a developer platform for building and deploying customizable AI agents using modular chains and tools.
RModel is an open-source AI agent framework orchestrating LLMs, tool integration, and memory for advanced conversational and task-driven applications.
Provides a FastAPI backend for visual graph-based orchestration and execution of language model workflows in LangGraph GUI.
CodeBeaver is an AI agent that assists in coding and debugging tasks efficiently.
AveHR is an AI-driven human resources agent for streamlining HR tasks.
OpenSpiel provides a library of environments and algorithms for research in reinforcement learning and game theoretic planning.
An autonomous AI agent that writes, tests, and refactors code projects using LLMs with iterative test-driven development.
All-in-one AI video creation studio that turns any text and images into full videos up to 30 minutes.
A Python-based framework implementing flocking algorithms for multi-agent simulation, enabling AI agents to coordinate and navigate dynamically.
An open-source framework enabling autonomous LLM agents with retrieval-augmented generation, vector database support, tool integration, and customizable workflows.
An AI agent template showing automated task planning, memory management, and tool execution via OpenAI API.
Pipe Pilot is a Python framework that orchestrates LLM-driven agent pipelines, enabling complex multi-step AI workflows with ease.
Open-source repository providing practical code recipes to build AI agents leveraging Google Gemini's reasoning and tool usage capabilities.
An open-source framework implementing cooperative multi-agent reinforcement learning for autonomous driving coordination in simulation.
Python library with Flet-based interactive chat UI for building LLM agents, featuring tool execution and memory support.
Agentic Workflow is a Python framework to design, orchestrate, and manage multi-agent AI workflows for complex automated tasks.
A GitHub demo showcasing SmolAgents, a lightweight Python framework for orchestrating LLM-powered multi-agent workflows with tool integration.
A Python framework for easily defining and executing AI agent workflows declaratively using YAML-like specifications.
A Pythonic framework implementing the Model Context Protocol to build and run AI agent servers with custom tools.
pyafai is a Python modular framework to build, train, and run autonomous AI agents with plug-in memory and tool support.
LangGraph enables Python developers to construct and orchestrate custom AI agent workflows using modular graph-based pipelines.
A Python wrapper enabling seamless Anthropic Claude API calls through existing OpenAI Python SDK interfaces.
Agent Adapters provides pluggable middleware to integrate LLM-based agents with various external frameworks and tools seamlessly.
Java-Action-Storage is a LightJason module that logs, stores, and retrieves agent actions for distributed multi-agent applications.
LinkAgent orchestrates multiple language models, retrieval systems, and external tools to automate complex AI-driven workflows.