Tool Calling Loop
The tool-calling loop is the iterative cycle of LLM → tool_call → execute → append result → LLM again, repeating until the model emits a final answer with no further tool calls.
What is Tool Calling Loop?
The tool-calling loop is the iterative cycle of LLM → tool_call → execute → append result → LLM again, repeating until the model emits a final answer with no further tool calls.
The tool-calling loop is the iterative cycle of LLM → tool_call → execute → append result → LLM again, repeating until the model emits a final answer with no further tool calls.
Where is it used?
LangChain `AgentExecutor` and the OpenAI Assistants `run` API run this loop; multi-step agents like AutoGPT and Claude's computer use rely on many loop iterations.
How to build it
Write a `while True:` loop: call the LLM, if `message.tool_calls` execute each and append results, else `break` and return `message.content`; cap iterations to avoid infinite loops.