Develop LLM applications with typed signatures using the @ax-llm/ax TypeScript library.
npx skills add https://github.com/eycjur/wandb_agent_hackathon --skill ax-eycjur
Please help me install this Agent Skill. Skill: ax Source: https://github.com/eycjur/wandb_agent_hackathon/tree/main/llm-as-a-judge-mvp/.claude/skills/ax Command: npx skills add https://github.com/eycjur/wandb_agent_hackathon --skill ax-eycjur
This Skill simplifies the development of LLM-powered applications by providing a type-safe framework for defining inputs, outputs, and interactions with various AI models.
Use the ax skill to create a simple generator that takes a question and returns an answer.
High-intent search queries and answers about installing and using this skill.
You can build type-safe signatures using a fluent TypeScript API to define clear input and output schemas for LLM calls. This ensures structured, maintainable, and robust interactions with various AI providers.
Yes, you can easily switch between different LLM providers like OpenAI, Anthropic, and Gemini. The framework supports multi-provider integration, allowing flexible model selection within your workflows.
Orchestrating multi-step AI agents is done by using a framework that supports building complex agents with tools and orchestrating workflows. This enables structured task execution and maintainable type safety across interactions.
Yes, the framework supports developing a customer support chatbot that can understand user queries, search a knowledge base, and generate helpful responses. It maintains type safety while allowing for easy provider switching.
Type-safe signatures are needed for LLM workflow orchestration to provide structured, maintainable, and robust application development. They define clear input and output schemas, preventing runtime errors when integrating AI models.
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