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Ava & Marcus

Ava & Marcus /Why Language Models Need Tools

Why Language Models Need Tools

See where a language model's built-in knowledge stops and how tool binding lets an application reach live data, calculations, and external actions.

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7 videos in this course

Ava & Marcus

Jump across the full chapter sequence without leaving the player.

01

Why Language Models Need Tools

See where a language model's built-in knowledge stops and how tool binding lets an application reach live data, calculations, and external actions.

02

Tool Binding and the Runnable Contract

Bind a set of available tools to a model and use LangChain's runnable contract to keep inputs, outputs, and execution behavior composable.

03

The Tool-Calling Lifecycle

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.

04

Built-In and Custom LangChain Tools

Use LangChain community tools when they fit, then define custom tools with clear names, descriptions, and behavior for application-specific work.

05

Binding Tools and Planning an Application

Design tool schemas, bind them to the model, and plan the control flow for an application that can select and execute the right capability.

06

Geocoding and Weather Tool Design

Create validated geocoding and weather tools, connect their schemas, and pass structured location data safely between external services and the model.

07

Multi-Tool Orchestration and Message History

Coordinate multiple tools across one request while preserving human, AI, and tool messages so the model can reason from the complete execution history.