#LLM function calling
1561 related articles
Deep Dives·3 min
Augment Code Architecture Revealed: Dedicated Subagents Replace KV Cache, Cutting Costs by 90%
Deep dive into how Augment Code uses Mercury 2 dedicated subagents to replace traditional KV cache, achieving 82% faster context compaction, 90% lower summarization costs, and 30% reduced LLM spending.
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Product Reviews·3 min
Tensorlake Skills: Giving AI Coding Agents Real-Time Access to Up-to-Date Documentation
Tensorlake Skills is a skill module for AI coding agents like Claude Code and OpenAI Codex, routing them to real-time docs on sandboxes, orchestration, and SDKs to fix outdated training data issues.
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Research·2 min
Prompt Tuning Delivers 3-10% Efficiency Gains: The Hidden Dividend of Scaling Coding Agents
Prompt engineering optimizations for coding Agents reduce tool calls, lower output tokens, and improve completion speed by 3-10%—delivering significant cost savings and latency reduction at scale.
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Tech Frontiers·3 min
Simulation Reshaping AI Testing: A New Paradigm for Systematically Validating AI Application Reliability
Explore how simulation solves AI testing challenges, covering scenario simulation, large-scale regression testing, and multi-agent verification to build reliable AI systems.
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Tech Frontiers·2 min
DeepSeek-V4-Pro API at 75% Off: Full Breakdown of Million-Token Context & Mainstream Tool Integrations
DeepSeek-V4-Pro API is 75% off through May 5, 2026. With 1M-token context and Claude Code/OpenCode integration, here's the full pricing and developer guide.
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Tutorials·3 min
Using LLMs as Script Interpreters: Shebang Lines Turn Natural Language into Executable Scripts
Simon Willison shows how putting LLM CLI tools in shebang lines turns plain English text files into executable scripts, from basic usage to tool calls and YAML templates.
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Tutorials·3 min
awesome-llm-apps: A 100K-Star GitHub Project with 100+ AI Agent & RAG Applications
awesome-llm-apps is a 100K+ Star GitHub project featuring 100+ ready-to-run AI Agent and RAG apps. Built in Python with clone-and-run simplicity, it's an essential resource for LLM developers.
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Tutorials·2 min
Ruby-OpenAI: A Complete Guide to Integrating GPT-5 and WebRTC Real-Time Voice in Rails
ruby-openai is an open-source library with 3,200+ GitHub stars, supporting GPT-5 and WebRTC real-time voice. Learn how to integrate OpenAI API into Ruby on Rails for AI-powered apps.
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Product Reviews·3 min
PyGPT: Open-Source Desktop AI Assistant with All-in-One Integration of GPT, Claude, Ollama, and More
Deep dive into PyGPT, an open-source desktop AI assistant supporting GPT-4, Claude, Gemini, Ollama local models, with built-in RAG, agents, voice interaction, and image generation.
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Product Reviews·3 min
LiteLLM: A Deep Dive into the Open-Source Gateway for 100+ LLM APIs
Deep dive into LiteLLM, the open-source AI gateway supporting 100+ LLM APIs with a unified OpenAI format. Covers core features, usage modes, and enterprise use cases.
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Deep Dives·3 min
Leashed Open-Source Framework: A Practical Guide to AI Agent Permission Control and Security Governance
Explore Leashed, an open-source security framework for AI Agents offering policy control, audit trails, and Kill Switch mechanisms to build safe, controllable AI agent applications.
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Product Reviews·3 min
AI Coding Assistant System Prompts Collection: Open-Source Repository Featuring Claude Code, Cursor, and Other Leading Tools
The awesome-system-prompts open-source project collects system prompts and tool definitions from leading AI coding assistants like Claude Code, Cursor, Gemini, and Codex — an essential resource for prompt engineering and AI product design.
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Tech Frontiers·2 min
Microsoft Open-Sources GitAGU: A Unified Platform for Managing AI Agent Development Workflows
Microsoft open-sources GitAGU (Git Agent Unblock), a centralized platform for discovering, configuring, and integrating AI agents into development workflows across the full SDLC.
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Product Reviews·4 min
OpenClaw4J: Deep Dive into a Java 21 + Spring AI Agent Framework
Deep dive into OpenClaw4J, an intelligent Agent framework built on Java 21 virtual threads and Spring AI, supporting tool calling, memory management, and multi-Agent collaboration for enterprise Java developers.
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Tutorials·3 min
Hands-On Intelligent Agent Development with LangGraph: From Getting Started to Full Project Architecture
A deep dive into intelligent Agent development with LangGraph, covering core concepts, project architecture, state management, and practical tips for building AI agents in Python.
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Product Reviews·3 min
Skill-Agent: A Production-Grade AI Agent Framework Built on FastAPI with 100+ LLM Support
Deep dive into Skill-Agent, an open-source FastAPI framework integrating 100+ LLM providers, MCP tool protocol, multi-agent collaboration, RAG knowledge base, and sandbox execution for enterprise AI Agent development.
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Product Reviews·3 min
Deep Dive into AGGO Framework: A New Go-Based Choice for Enterprise AI Agents
Deep dive into AGGO—an enterprise AI Agent framework built with Go and CloudWeGo Eino, covering conversational AI, RAG, memory systems, and tool calling, with Go's performance advantages.
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Product Reviews·2 min
A Comprehensive Analysis of the Sentra-Agent Framework: Building Production-Grade Conversational AI Agents with TypeScript
Deep analysis of Sentra-Agent, a modular TypeScript framework for building production-grade conversational AI Agents, covering architecture, design philosophy, and comparison with LangChain.js.
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Tutorials·2 min
OpenClaw Orange Book: An In-Depth Guide to the Open-Source AI Agent Framework
In-depth look at the OpenClaw Orange Book open-source project covering AI Agent framework components, tech ecosystem, and practical development methodology.
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Tutorials·3 min
LangGraph E-commerce AI Agent in Practice: From RAG Q&A to Automated Return Workflows
Deep dive into the E-commerce-Smart-Agent open-source framework built with LangGraph and FastAPI, covering RAG knowledge base Q&A, return workflow automation, and graph-based orchestration.
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