AI Agents & LangChain
Tool Calling in LangChain
Build LangChain applications that let language models call real tools. Follow Ava and Marcus from the reason models need tools through runnable contracts, the tool-calling lifecycle, built-in and custom tools, schema design, geocoding and weather integrations, and multi-tool orchestration with message history.
Course Snapshot
Instructor
Vivid Labs
Access
First lesson free · Join waitlist for full access
Catalog Slot
AI Agents & LangChain
Chapter List
See where a language model's built-in knowledge stops and how tool binding lets an application reach live data, calculations, and external actions.
Bind a set of available tools to a model and use LangChain's runnable contract to keep inputs, outputs, and execution behavior composable.
Trace the complete loop as a model proposes a tool call, the application executes it, the result returns as a tool message, and the model produces a final answer.
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