How deeply does Building LLM Applications with DSPy cover tool?

Defines tools by their role in agent execution and names common operations, but gives no interface or implementation details.

Tool

As explained in Building LLM Applications with DSPy

An invocable software capability that performs an operation on behalf of an application or agent.

A tool is an invocable capability an agent can use to act beyond language-model reasoning. The language model guides which tool to use and how; the agent executes it to respond to a user. section 9.0

Tools let an agent perform operations such as:

Calling an API or running other software. section 9.0
Updating a database, sending an email, making a purchase, or scheduling an appointment. section 9.0

How Building LLM Applications with DSPy covers it

Cover of Building LLM Applications with DSPy

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Related concepts

AI agentused by · An AI agent is a computational system that uses artificial intelligence to interpret information, select actions, and pursue goals through interaction with an environment.
MCP resourcecontrasts with · An MCP resource is a URI-addressable source of data or content that a server exposes through the Model Context Protocol for clients to access.
MCPconfigured by · The Model Context Protocol is an open standard protocol that defines how AI applications connect with external tools, data sources, and other contextual resources.
functionkind of · A function is a callable program unit that performs an operation, may accept inputs, and can produce a result or side effect.
ReActused by · ReAct is a DSPy module that implements an agent loop in which a language model selects tools and uses their results to guide subsequent steps.
ReActused by · ReAct is an agent technique that iteratively interleaves reasoning, actions, and observations so results can guide subsequent actions.

This explainer was generated by Manning's knowledge graph from the text of Building LLM Applications with DSPy. The section links point to the parts of the book it draws on.