#MCP and tools

1094 stories · 133 in 7 days · 463 in 30 days · Topic watch →
Oct 9
ProductsBuildersSelected14:21
vLLM Semantic Router Adds Decision 2.0 Single-Pass Classification

Batching several classification questions into one forward pass cuts inference calls, which matters for anyone running routers or guardrails at scale on vLLM. Developers building model-selection or category-routing pipelines can adopt it directly in their existing Semantic Router configs. It competes with ad hoc multi-prompt setups that pay per-question latency.

Official accountvLLM@vllm_projectSource
How-toBuildersSelected12:00
Stanford CS146S releases Week 3 on Agent Skills and CLI

The most actionable idea in the notes: mine your own chat logs for moments where you corrected an agent — each intervention point is a skill worth encoding as markdown. That turns personal friction into a portable, cross-project skill set, and the progressive-disclosure advice addresses why most skills fail (never triggered, or bloated into context overhead). Practitioners building agent workflows with Claude or similar coding agents can apply the SKILL.md patterns immediately.

shao__meng@shao__mengSource
ProductsBuildersMulti-sourceSelected11:21
REA v6.1.0 brings reverse engineering into agent MCP toolkits

The interesting shift is that reverse engineering, once a specialist skill, becomes a routine agent call with evidence-backed output rather than model guesses. Developers doing security audits, malware triage or app analysis can wire it into any MCP-compatible agent and keep everything on-device. Its coverage breadth, from APKs to EVM bytecode, compares favourably with narrower single-target tools.

Event
AIGCLINK@aigclinkSource
Oct 8
ProductsBuildersMulti-sourceSelected02:32
LangChain Managed Deep Agents v0.9 Adds Schedules SDK

Per-run config means one deployment can serve multiple teams or repos with different models and MCP servers, cutting infrastructure overhead for teams running many agent workloads. Developers building autonomous or long-running agents should evaluate the Schedules SDK for self-scheduling follow-ups without external cron jobs. It positions LangChain against managed agent platforms like OpenAI's Assistants and Anthropic's Agent SDK.

Event
Official accountLangChain@LangChainAISource
Oct 7
How-toBuildersSelected11:31
SpaceXAI Cookbook adds 5 new Grok API sample apps

The cookbook doubles as an architecture reference: the pattern of using Grok for decisions and Imagine models for execution, plus cross-shot consistency via image editing instead of regeneration, applies to any agentic media pipeline. Developers building voice agents or content workflows can clone the repos on GitHub and adapt them directly. The itemised per-run costs also make budgeting for video generation pipelines more concrete.

Event
shao__meng@shao__mengSource
How-toBuildersSelected11:30
html-plan plugin turns Claude Code plans into reviewable HTML pages

Plans as interactive HTML rather than walls of Markdown cut review time and make the feedback loop structured instead of ad-hoc, which could reshape how teams gate agent coding work. Developers running Claude Code on real projects can install the plugin and start routing plan approvals through numbered decision points. It comes from the Anthropic community plugin marketplace, so setup is a two-command install rather than custom tooling.

shao__meng@shao__mengSource
ProductsBuildersMulti-sourceSelected08:48
llm-openai-decisions 0.1a0 plugin for OpenAI Decisions API

Decision-style APIs price inputs only, which makes cheap bulk classification and moderation workflows far more predictable to budget than chat-style models. Developers already using Willison's LLM CLI can add structured yes/no, choice, and score queries with a single plugin install. The 2.4x price gap versus Jev gives teams with high-volume image or text gating tasks a concrete cost comparison to weigh.

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Official accountSimon Willison’s WeblogSource
ProductsBuildersMulti-sourceSelected08:15
OpenAI Decisions API Launch

The Decisions API represents a significant shift toward more efficient real-time model selection, potentially reducing latency in AI applications. Developers building applications requiring rapid decision-making should evaluate this API against alternatives like Perplexity's offering, as the performance difference could impact user experience and operational costs.

Event
elvis@omarsar0Source
ProductsBuildersOfficialSelected05:13
OpenAI Decisions API enters public beta for all developers

Routing logic moves from hand-written prompt pipelines to a first-party API call, which shortens the glue code agent builders maintain. Developers building multi-model or tool-switching applications can test it now in public beta and benchmark the 10x speed claim against their own Responses API setups. It also signals OpenAI competing directly with self-built router frameworks like RouteLLM.

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Primary source@OpenAIDevs@OpenAIDevsSource