Build AI agents in production (without writing code)

This post details the integration of LangChain's Agent Builder with Baseten's GLM 4.7 LLM and Tavily for web search, enabling users to build AI agents with a no-code interface. It outlines the process of configuring Baseten as a custom OpenAI-compatible model API within Agent Builder, including specifying the base URL and API key. The guide demonstrates how to describe agent behavior in natural language and leverage pre-built templates or custom prompts to generate functional agents, highlighting Baseten's role as a performant inference backbone for agentic applications.