TOOL-CALLING
30 days · UTC
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CodeScene opens MCP Server early access; practical playbook lands for reliable tool-aware AI
CodeScene launched an early-access MCP Server that guides AI coding with CodeHealth metrics, paired with hands-on guides to make MCP tool use reliable...
LangChain 1.2.12 adds tracing for wrapped models and tool calls
LangChain 1.2.12 ships tracing coverage for wrapped models and tool calls to tighten observability across agent and tool workflows. The [LangChain 1....
LangChain Core 1.2.18: OpenAI tool search + safer tool schema defaults
LangChain Core 1.2.18 ships a small but useful OpenAI tool search feature and a schema fix that preserves default_factory. The [release](https://gith...
How Grok actually does real-time retrieval (and what its X link really means)
xAI’s Grok uses a tool-called retrieval pipeline and tight X integration to produce live, cited answers with clear limits and audit trails. The Grok ...
LangChain Core 1.2.14 stabilizes tool-call merges, preserves metadata, and tightens deserialization guidance
LangChain Core 1.2.14 delivers targeted fixes and docs updates to stabilize parallel tool calls, preserve merge metadata, clarify LangSmith tracing pa...
Agentic AI blueprints for production: patterns, tools, and SDLC fit
Agentic systems are moving beyond one-shot chat to orchestrated workflows with memory, tool use, task decomposition, and production controls—see this ...
FastAPI AI API template with Groq LLMs deployed on Hugging Face Spaces
A tutorial provides a ready FastAPI server that wires OpenAI’s Agents SDK to Groq-hosted Llama 3 with tool-calling (weather, math), streaming, CORS, a...
Don’t reuse GPT-4 prompts on Gemini—evaluate model-specific prompting
A practitioner write-up claims Google’s latest Gemini model behaves differently from GPT-4 and can underperform if you reuse GPT-style prompts. While ...
Early agent benchmarks: Claude leads tool-calling, Gemini 3 Flash rebounds, GPT Mini/Nano lag
A practitioner benchmarked LLMs on real operational tasks (data enrichment, calendar scheduling, CRM clean-up) with minimal prompting and explicit too...
Agentic AI: architecture patterns and what to measure before you ship
A new survey consolidates how LLM-based agents are built—policy/LLM core, memory, planners, tool routers, and critics—plus orchestration choices (sing...
Reverse‑engineering insights into Claude Code’s agent architecture
PromptLayer’s Jared Zoneraich independently analyzes how Claude Code likely works: a tool-calling agent that reads/writes files and runs local command...
Gemini vs ChatGPT: treat it as a platform choice, not copy quality
The video argues the Gemini vs ChatGPT decision is primarily about platform capabilities (APIs, integrations, workflow automation, governance) rather ...