#Tool Call
8676 related articles
·5 min
Davit: A Native GUI Management Tool Built Specifically for Apple Containers
Davit is an open-source native macOS UI tool built for Apple Containers, offering graphical container status management, image viewing, and log monitoring.
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·7 min
LangSmith Engine: An Intelligent Operations Tool That Automatically Diagnoses and Fixes Agent Failures
LangChain's LangSmith Engine is an intelligent agent tool for tracking Agent failures, prioritizing issues, and auto-drafting fixes. Deep dive into its core capabilities, sandbox isolation, sub-Agent architecture, and continuous evaluation challenges.
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·3 min
Unsloth v0.1.46-beta Update: DiffusionGemma Tool Calling Disabled and Artifacts Canvas Enabled by Default
Unsloth v0.1.46-beta is out with key DiffusionGemma changes: tool calling disabled by default, artifacts canvas enabled. A deep dive for LLM fine-tuning devs.
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·4 min
Enterprise AI Agent Development Guide: Multi-Task Recognition and Dynamic Tool Calling in Practice
A deep dive into AI Agent architecture and enterprise deployment. From LangChain and ReAct design to dynamic tool calling and multi-task recognition — build autonomous enterprise AI assistants.
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·4 min
Building an AI Agent Framework from Scratch: Deep Dive into Tool Calling, Memory, and Dual-Model Scheduling
Build an AI Agent from scratch — no frameworks. Deep dive into Function Call schema design, MCP remote mirroring, dual-model routing, and short-term memory management.
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Stronger Models, Worse Tools? The Hidd…
·4 min
Stronger Models, Worse Tools? The Hidden Pitfalls of Tool Calling in Claude's New Models
Developers found Claude's flagship models Opus and Sonnet perform worse with third-party editing tools than older versions — likely due to RL over-optimization on built-in tools degrading generalization.
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·1 min
Getting Started with Ollama: The Best Tool for Running Open-Source LLMs Locally
Ollama is a free, open-source local LLM platform supporting macOS, Windows, Linux, and Docker. Easily deploy DeepSeek and other open-source models with API and CLI support — no complex GPU setup required.
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·3 min
Needle: Fine-Tuning a 26M Ultralight Tool-Calling Model Locally — Full Walkthrough
Needle is a 26M-parameter tool-calling model. Learn how to replace Gemini with Ollama for local training data generation and fine-tune on a single GPU, achieving 96.7% F1 — ideal for edge AI deployment.
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·3 min
Understanding AI Agents Through Excel: The Essential Difference Between Skills and Tool Calls
Learn the essential difference between Skills and Tool Calls in AI Agents through a practical Excel agent case study, with full API call chain analysis.
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·4 min
Chrome DevTools MCP Hands-On: Using AI to Automatically Control a Browser, Write Articles, and Publish Them
Hands-on test of Chrome DevTools MCP with Claude Code: AI automatically opens a browser, writes an article, fills in tags, and publishes — full workflow breakdown with pros and cons analysis.
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·3 min
LFM2.5 Local Deployment Hands-On: An 8B Parameter Model That Outperforms GPT-o3s in Tool Calling
Hands-on test of Liquid AI's LFM2.5 local deployment: architecture breakdown, 16GB VRAM troubleshooting, and GraphRAG tool-calling benchmarks vs GPT-o3s.
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·2 min
API to MCP Tool in One Click: Let AI Agents Easily Call Any API
Learn how the open-source API to MCP tool converts any REST API into an MCP Server with one command, enabling Claude Code and Codex agents to call third-party APIs directly.
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·2 min
AI Finishes Writing Code, Automatically Strikes a Gong to Alert You: Open-Source Physical Feedback Tool DAgent
A developer built a physical feedback device with chopsticks and a small gong that auto-strikes when AI finishes coding. Now open-sourced as DAgent, it also simulates IPO bell-ringing when creating new files.
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·1 min
Runway Adds Tool Calling to Real-Time Video Characters, Moving from Conversation to Intelligent Execution
Runway upgrades real-time video Characters with tool calling, enabling AI video agents to execute queries, tasks, and operations—marking a shift from content generation to intelligent agent platform.
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Tutorials·3 min
ReAct vs. CodeAct: Two Core Approaches to Agent Tool Calling
In-depth comparison of ReAct and CodeAct — two core Agent tool-calling architectures. From paper principles to code implementation, learn the trade-offs between reasoning+action and code execution.
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Tutorials·2 min
Ollama Getting Started Guide: The Best Tool for Locally Deploying Open-Source LLMs
A detailed guide to Ollama's core features: free open-source local LLM management with cross-platform support, intelligent GPU/CPU scheduling, and API integration for running DeepSeek and other open-source models locally at zero cost.
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Tutorials·3 min
MCP Protocol Explained: Differences from Function Calling and Agent Tool Development in Practice
Deep dive into MCP (Model Context Protocol): its principles, communication architecture, and practical applications. Compare MCP vs Function Calling, explore client-server communication and security.
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Deep Dives·3 min
MCP (Model Context Protocol): Solving the Three Core Pain Points of AI Tool Calling
Deep dive into how MCP (Model Context Protocol) solves three core pain points of Tool Calling: verbose descriptions, unstable invocations, and lack of unified standards.
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Deep Dives·3 min
MCP Protocol Explained: The Unified Standard and Complete Workflow for LLM Tool Calling
Deep dive into MCP (Model Context Protocol): core concepts, role definitions, and complete workflow. Learn how MCP Server, Client, and Host work together to standardize LLM tool calling.
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Tutorials·3 min
Spring AI + MCP Protocol in Practice: Tool Calling, Security Authentication, and Enterprise Deployment
Deep dive into Spring AI and MCP protocol integration, covering tool calling, OAuth security, horizontal scaling, and context optimization for enterprise AI Agent services.
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