#ToolUsingAI
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Tool-Using Agents: When AI Needs a Toolbox
Modern AI agents are becoming tool-users—invoking APIs, querying databases, generating images, or running code to extend their capabilities beyond language.
This is a shift from passive responders to active problem-solvers. Tool use is often enabled via:
Toolformer-style prompting
Function calling in LLMs like OpenAI's GPT
Planning + execution loops where agents decide when and how to invoke tools
Tool-using agents are especially useful in domains like research, data science, and workflow automation.
See how functional capabilities are integrated with reasoning loops in examples on the AI agents page.
Keep tool interfaces consistent and well-documented—agents perform better with predictable I/O schemas.
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