What is Ax?
Ax is a powerful and efficient TypeScript framework designed for constructing sophisticated LLM applications, particularly agents and complex workflows. Based on the Stanford DSPy research, Ax provides a robust, developer-friendly environment for building production-ready LLM solutions. It supports a wide range of LLMs, facilitates multi-modal and streaming capabilities, handles output validation, and offers features like automatic prompt tuning and OpenTelemetry tracing.
Key Features:
Agent-Oriented Architecture: 🤖 Build and manage agents capable of collaborating with other agents and tools to complete complex tasks. Leverage Ax's framework to easily define agent roles, interactions, and capabilities.
Typed Prompt Signatures: 📝 Utilize DSPy-inspired typed prompt signatures to define input and output structures, ensuring type safety and facilitating efficient prompt generation. Simplify prompt engineering and improve code readability.
Multi-Modal & Streaming Support: 📺 Seamlessly integrate multi-modal prompts (text and images) and leverage streaming capabilities for faster responses and reduced token usage. Handle output validation and function execution while streaming for efficient processing.
Automatic Prompt Tuning: 🚀 Optimize your prompts automatically using techniques like Bootstrap Few-Shot learning with examples from datasets like HotPotQA. Enhance prompt efficiency and achieve better results with minimal manual intervention.
Comprehensive LLM & VectorDB Integration: 🌐 Connect to various leading LLMs (OpenAI, Azure OpenAI, Google Gemini, etc.) and vector databases (Weaviate, Pinecone, etc.). Benefit from Ax's built-in abstractions for seamless integration and data management.
Use Cases:
Building a customer support agent that can automatically answer questions and resolve issues based on past interactions and knowledge base articles.
Creating a research agent that can gather information from multiple sources, synthesize findings, and answer complex questions with detailed explanations.
Developing a marketing agent that can generate targeted, personalized advertising campaigns across multiple channels based on customer demographics and preferences.
Conclusion:
Ax empowers developers to unlock the true potential of LLMs by providing a comprehensive and user-friendly framework for building sophisticated agents and workflows. With its robust features, support for various LLMs and vector databases, and focus on efficiency and developer productivity, Ax is the ideal choice for building the next generation of LLM-powered applications.
FAQs:
Q: What LLMs and vector databases does Ax support?A:Ax supports a wide range of LLMs, including OpenAI, Azure OpenAI, Google Gemini, Cohere, Anthropic, and others. It also integrates with popular vector databases like Weaviate, Pinecone, and Cloudflare.
Q: How do I get started with Ax?A:Install Ax using npm (
npm install @ax-llm/ax), choose your preferred LLM, define your prompt signature, and start building your agents and workflows. Ax provides comprehensive documentation and examples to guide you through the process.Q: Can I use Ax with the Vercel AI SDK?A:Yes, Ax integrates seamlessly with the Vercel AI SDK through the
@ax-llm/ax-ai-sdk-providerpackage. You can use Ax's AI and Agent providers to build interactive chat UIs and other AI-powered applications within the Vercel ecosystem.




