wxflows
by
Build tools out of any data source and deploy them to an endpoint in the cloud for use in any Agentic Framework.
wxflows Overview
wxflows
What is wxflows about?
wxflows provides examples and tutorials for building AI applications using the watsonx.ai Flows Engine. It enables developers to create tools from any data source and deploy them as cloud endpoints. These tools are compatible with various Agentic Frameworks through SDKs for Python and JavaScript.
How to use wxflows?
To use wxflows, you can explore the provided examples and tutorials. The repository contains code for various tools (e.g., exchange, wikipedia, google_books, math, weather) and integrations with frameworks like LangGraph, LangChain, watsonx.ai, and OpenAI. You can also build your own tools by following the guidelines in the ./tools/README.md file. The project offers SDKs for Python and JavaScript to integrate these tools into your AI applications.
Key features of wxflows
- Tool Building: Create custom tools from diverse data sources.
- Cloud Deployment: Deploy tools to cloud endpoints.
- Agentic Framework Integration: Compatible with frameworks like LangGraph, LangChain, watsonx.ai, and OpenAI.
- SDK Support: Provides SDKs for Python and JavaScript.
- Examples and Tutorials: Offers a wide range of examples, including end-to-end agent chat apps, text-to-SQL agents, YouTube transcription agents, and more.
- Community Support: Active community support via Discord.
Use cases of wxflows
- Developing AI agents that can interact with various data sources.
- Building applications that require natural language processing and data retrieval.
- Creating custom tools for specific business needs.
- Integrating AI capabilities into existing applications using popular frameworks.
- Prototyping and experimenting with different AI agent architectures.
FAQ from wxflows
- How to build your own tool? Refer to the
./tools/README.mdfile for instructions. - Where to get support? Reach out on the Discord channel linked in the repository.
- What frameworks are integrated? Integrations include LangGraph, LangChain, watsonx.ai, and OpenAI.
- What programming languages are supported? SDKs are available for Python and JavaScript.
wxflows's README
watsonx.ai Flows Engine
Build, run & deploy Tools for AI Agents 🚀
With watsonx.ai Flows Engine you can build tools out of any data source, and deploy them to an endpoint in the cloud. Tools built with watsonx.ai Flows Engine can be used in any Agentic Framework using the SDK for Python & JavaScript.
📹 VIDEOS | 📝 BLOGS | 📗 DOCUMENTATION | 💬 DISCORD | 🆓 FREE SIGNUP
Tools
Integrations
Examples
- End-to-end Agent Chat App
- Text-to-SQL Agent
- YouTube transciption agent
- Math agent
- Model Context Protocol (MCP)
- Tool Calling
- LangGraph
- LangChain
- watsonx.ai
- OpenAI
- RAG
- Summarization
Support
Please reach out to us on Discord if you have any questions or want to share feedback. We'd love to hear from you!
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wxflows's Information
- Author
- IBM
- Category
- Development Tools
- License
- MIT License
- Stars
- 97
- Updated
- 3 months ago
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