arklexai/Agent-First-Organization

Perfil de arklexai

Última actividad de origen registrada: 24 de marzo de 2026 a las 21:32

Catálogo de SkillsMP actualizado: 17 de octubre de 2026 a las 00:09

skills recopiladas: 3

Estrellas en GitHub: 699
Forks en GitHub: 99

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# 🧠 Arklex AI · Agent-First Framework <div align="center"> ![Arklex AI Logo](Arklex_AI__logo.jpeg) **Build, deploy, and scale intelligent AI agents with enterprise-grade reliability** [![Release](https://img.shields.io/github/release/arklexai/Agent-First-Organization?logo=github)](https://github.com/arklexai/Agent-First-Organization/releases) [![PyPI](https://img.shields.io/pypi/v/arklex.svg)](https://pypi.org/project/arklex) [![Python](https://img.shields.io/pypi/pyversions/arklex)](https://pypi.org/project/arklex) [![License](https://img.shields.io/badge/license-MIT-blue.svg)](LICENSE.md) [![Discord](https://img.shields.io/badge/discord-join%20community-7289da?logo=discord)](https://discord.gg/kJkefzkRg5) ![Coverage](https://img.shields.io/badge/coverage-48.2%25-green) 🚀 [Quick Start](#-get-started-in-5-minutes) • 📚 [Documentation](https://arklexai.github.io/Agent-First-Organization/) • 💡 [Examples](./examples/) </div> --- ## 🚀 Get Started in 5 Minutes ### Install & Setup ```bash # Install pip install arklex # Create .env file echo "OPENAI_API_KEY=your_key_here" > .env # Clone the repository (required if you want to run example/test scripts) git clone https://github.com/arklexai/Agent-First-Organization.git cd Agent-First-Organization pip install -e . # Test your API keys (recommended) python test_api_keys.py # Create your first agent # The current `main` branch does not include a top-level `create.py` script, even though some older instructions may still reference it. # If you are getting started, use one of the prebuilt examples under `examples/` and run the agent with `run.py`. python create.py \ --config ./examples/customer_service/customer_service_config.json \ --output-dir ./examples/customer_service \ --llm_provider openai \ --model gpt-4o # Run agent python run.py \ --input-dir ./examples/customer_service \ --llm_provider openai \ --model gpt-4o # For evaluation and testing, you can also use the model API server: # 1. Start the model API server (defaults to OpenAI with "gpt-4o-mini" model): python model_api.py --input-dir ./examples/customer_service # 2. Run evaluation (in a separate terminal): python eval.py --model_api http://127.0.0.1:8000/eval/chat \ --config "examples/customer_service/customer_service_config.json" \ --documents_dir "examples/customer_service" \ --model "claude-3-haiku-20240307" \ --llm_provider "anthropic" \ --task "all" ``` --- ## 📺 Learn by Example ### ▶️ Build a Customer Service Agent in 20 Minutes <p align="center"> <a href="https://youtu.be/y1P2Ethvy0I" target="_blank"> <img src="https://markdown-videos-api.jorgenkh.no/url?url=https%3A%2F%2Fyoutu.be%2Fy1P2Ethvy0I" alt="Watch the video" width="600px" /> </a> </p> 👉 **Explore the full tutorial:** [Customer Service Agent Walkthrough](https://arklexai.github.io/Agent-First-Organization/docs/tutorials/customer-service) --- ## ⚡ Key Features - **🚀 90% Faster Development** — Deploy agents in days, not months - **🧠 Agent-First Design** — Purpose-built for multi-agent orchestration - **🔌 Model Agnostic** — OpenAI, Anthropic, Gemini, and more - **📊 Built-in Evaluation** — Comprehensive testing suite - **🛡️ Enterprise Security** — Authentication and rate limiting - **⚡ Production Ready** — Monitoring, logging, auto-scaling --- ## 🏗️ Architecture ```mermaid graph TB A[Task Graph] --> B[Orchestrator] B --> C[Workers] B --> D[Tools] C --> E[RAG Worker] C --> F[Database Worker] C --> G[Custom Workers] D --> I[API Tools] D --> J[External Tools] ``` **Core Components:** - **Task Graph** — Declarative DAG workflows - **Orchestrator** — Runtime engine with state management - **Workers** — RAG, database, web automation - **Tools** — Shopify, HubSpot, Google Calendar integrations --- ## 💡 Use Cases | **Domain** | **Capabilities** | |------------|------------------| | **Customer service for e-commerce** | RAG chatbots, ticket routing, support workflows | | **E-commerce such as shopify sales and customer** | Order management, inventory tracking, recommendations | | **Business Process** | Scheduling, CRM operations, document processing | --- ## 📚 Examples | **Example** | **Description** | **Complexity** | |-------------|-----------------|----------------| | [Customer Service](./examples/customer_service/) | RAG-powered support | ⭐⭐ | | [Shopify Integration](./examples/shopify/) | E-commerce management | ⭐⭐⭐ | | [HubSpot CRM](./examples/hubspot/) | Contact management | ⭐⭐⭐ | | [Calendar Booking](./examples/calendar/) | Scheduling system | ⭐⭐ | | [Human-in-the-Loop](./examples/hitl_server/) | Interactive workflows | ⭐⭐⭐⭐ | --- ## 🔧 Configuration **Requirements:** Python 3.10+, API keys ```env # Required: Choose one or more LLM providers OPENAI_API_KEY=your_key_here # OR ANTHROPIC_API_KEY=your_key_here # OR GOOGLE_API_KEY=your_key_here # Optional: Enhanced features MILVUS_URI=your_milvus_uri MYSQL_USERNAME=your_username TAVILY_API_KEY=your_tavily_key ``` **Testing API Keys:** After adding your API keys to the `.env` file, run the test script to verify they work correctly: ```bash # Test all configured API keys python test_api_keys.py # Test specific providers only python test_api_keys.py --providers openai gemini python test_api_keys.py --providers openai anthropic ``` --- ## 📖 Documentation - 📚 **[Full Documentation](https://arklexai.github.io/Agent-First-Organization/)** - 🚀 **[Quick Start](docs/QUICKSTART.md)** - 🛠️ **[API Reference](docs/API.md)** - 🏗️ **[Architecture](docs/ARCHITECTURE.md)** - 🚀 **[Deployment](docs/DEPLOYMENT.md)** --- ## 🤝 Community - 🐛 [Report Issues](https://github.com/arklexai/Agent-First-Organization/issues) - 💬 [Discord](https://discord.gg/kJkefzkRg5) - 🐦 [Twitter](https://twitter.com/arklexai) - 💼 [LinkedIn](https://www.linkedin.com/company/arklex) - 📧 [Email Support](mailto:support@arklex.ai) --- ## 📄 License Arklex AI is released under the **MIT License**. See [LICENSE](LICENSE.md) for details. This means you can: - ✅ Use Arklex AI for commercial projects - ✅ Modify and distribute the code - ✅ Use it in proprietary applications - ✅ Sell applications built with Arklex AI The only requirement is that you include the original license and copyright notice. --- ## 🙏 Acknowledgments Thanks to all our contributors and the open-source community for making this project possible! ### 🌟 Contributors <a href="https://github.com/arklexai/Agent-First-Organization/graphs/contributors"> <img src="https://contributors-img.web.app/image?repo=arklexai/Agent-First-Organization" /> </a> ### 🤝 Open Source Dependencies Arklex AI builds on the shoulders of giants: - **LangChain** — LLM framework and tooling - **FastAPI** — Modern web framework - **Pydantic** — Data validation - **SQLAlchemy** — Database ORM - **Milvus** — Vector database - **And many more...** --- <div align="center"> **Made with ❤️ by the Arklex AI Team** [Website](https://arklex.ai) • [Documentation](https://arklexai.github.io/Agent-First-Organization/) • [GitHub](https://github.com/arklexai/Agent-First-Organization) • [Discord](https://discord.gg/kJkefzkRg5) • [LinkedIn](https://www.linkedin.com/company/arklex) </div>

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