Something amazingly simple turned out to be amazingly weird! I was trying to create a react agent that uses tavily search to fetch relevant articles and then uses openai (on localai server) to generate a response based on the articles. I was following the Langchain docs and the tavily search docs to create the agent.

The code is available on github. If I use the TavilyClient directly as a tool in my agent, it works fine. But if I use the TavilySearch tool, it truncates the query in a weird way and sends the result back. The LLM (gpt-oss) then goes into an infinite loop trying to get the correct information from the tool. The tool in turn gives back invalid responses which do not match the query and the whole cycle is repeated again.