Agents
Tool Use
A model capability where the LLM can invoke external tools - running code, searching the web, reading files, calling APIs - as part of generating a response.
In depth
A model capability where the LLM can invoke external tools - running code, searching the web, reading files, calling APIs - as part of generating a response. Tool use turns a passive text generator into an active agent that can interact with the real world.
Example
In practice, developers reach for Tool Use when they need the capability described above as part of an AI feature or workflow.
Go deeper at Developers Digest
Hands-on guides, comparisons, and tutorials that cover Agents.
FAQ
What is Tool Use?
A model capability where the LLM can invoke external tools - running code, searching the web, reading files, calling APIs - as part of generating a response.
Why does Tool Use matter for AI developers?
Tool Use sits in the Agents part of the AI stack. Understanding it helps you make better decisions when building, debugging, and shipping AI features.
Where can I learn more about Tool Use?
Developers Digest publishes tutorials and videos that cover Agents topics including Tool Use. Check the blog and YouTube channel for hands-on walkthroughs.
Related terms
Agents
Task Decomposition
The process of breaking a complex goal into smaller, manageable sub-tasks that an agent can execute individually.
Agents
Tool Chaining
A pattern where an AI agent uses the output of one tool call as the input for the next, building a multi-step pipeline of actions.
Agents
Backpressure (Agent)
A flow-control mechanism that prevents an agent pipeline from overwhelming downstream systems.
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