A walkthrough of implementing tool calling mechanics in an AI chat agent with message history. The tutorial demonstrates how to define a tool (a weather function), pass it to a language model, handle the model's tool call response, append the tool call and its result back into the conversation history with the correct roles and IDs, and feed everything back to the model to get a final answer. Key insights include the importance of tool ID mapping, using structured JSON for tool responses, keeping tool parameter lists simple for lower-level models, and the difference between chat completions (client manages history) and a responses API approach.
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