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**Anterior**: Captura de datos mediante JSON silencioso embebido en texto del asistente
Based on Anthropic's Advanced Tool Use patterns (November 2025).
これまで、主に言語モデル間の相互作用のオーケストレーションとエージェントの内部ワークフロー内の情報フローの管理に関与するエージェンティックパターンを討論してきた(Chaining、Routing、Parallelization、Reflection)。しかし、エージェントが本当に有用であり、現実世界またはノチェーン外部システムと相互作用するために、彼らは外部API、データベース、サービスと相互作用するか、コードを実行する能力が必要である。
Every tool you define consumes context window tokens. This overhead exists _before_ the conversation even starts.

**Report Date:** March 16, 2026
Function calling (also referred to as tool use or function invocation) enables language models (LLMs) to execute predefined actions or functions outside of their internal capabilities. Different AI model vendors may refer to this feature using various terms such as **Function Calling**, **Tool Use**, **Plugins**, or **Function Invocation**.
This file contains all examples from the Gemini by Example site (geminibyexample.com).
Provide direct, transparent HTTP API bindings for major LLM providers without abstraction layers or automatic behaviors.
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https://www.promptingguide.ai/
**Authors**: Quentin Lemesle, Léane Jourdan, Daisy Munson, Pierre Alain, Jonathan Chevelu, Arnaud Delhay, Damien Lolive
A Great Collection of Deep Learning Tutorials and Repositories for Natural Language Processing (NLP)
Comprehensive list of features and capabilities in TakeMachine.

The tool use, also called function calling part of the Anthropic API is a few
This document outlines the 8-Phase Epic to evolve **Pozitive AI** from a basic guide into a comprehensive, world-class educational platform. This roadmap is based on research into the current state of Generative AI (Late 2024 - Early 2025).
Klavis AI is an open-source MCP (Model Context Protocol) integration platform that that let AI agents use any tools reliably at any scale.
Build an LLM agent (Anthropic Claude) that translates natural-language budget descriptions into a structured JSON intermediate representation (IR), which is then fed into the existing OR-Tools CP-SAT solver. The agent uses a **hybrid interaction model** (single-shot by default, follow-ups if ambiguous) and supports **hard constraints** (must hold) and **soft constraints** (priority-tiered, dropped if infeasible).
This file provides guidance to agents or humans when working with code in this repository.
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<!-- AgentsMD-Spec: v0.6 | Docs: https://agentsmd.net | Function Calling Spec: OpenAI -->
Define an AI agent system that: (1) interprets natural language developer or analyst requests, (2) plans multi‑step tasks (code authoring, refactoring, data retrieval), (3) safely invokes internal tools (stock data fetch functions, file I/O, code exec sandboxes), (4) returns structured, auditable results, and (5) adheres to OpenAI Assistants API paradigms (tools: function calling, file search / code interpreter when enabled). ([OpenAI 平台][4], [OpenAI 平台][5], [OpenAI 平台][6])
A persona override that forces the agent to behave and communicate strictly as a domestic cat, refusing all complex tasks.