Ce qui s'est passé: Revamping Skills in Deep Agents

LangChain released three Deep Agents improvements: binding tools to skills, pinning skills at runtime, and reloading skills mid-thread.

Pourquoi ça compte: Revamping Skills in Deep Agents

Engineers building multi-skill agent systems at scale need these features to reduce context bloat, cut latency, and keep long-running agents current.

Vigilance: Revamping Skills in Deep Agents

Tool binding works best on newer models supporting mid-conversation tool addition; older models append tools traditionally, invalidating prompt cache.

Dans l'actualité

Revamping Skills in Deep Agents

LangChain · Publié le 7 octobre 2026 · 3 min de lecture

En 30 secondes

Ce qui s'est passé: LangChain released three Deep Agents improvements: binding tools to skills, pinning skills at runtime, and reloading skills mid-thread.
Pourquoi ça compte: Engineers building multi-skill agent systems at scale need these features to reduce context bloat, cut latency, and keep long-running agents current.
Vigilance: Tool binding works best on newer models supporting mid-conversation tool addition; older models append tools traditionally, invalidating prompt cache.

Lire l'article complet

agent

Les patterns derrière cette actualité

Chacun explique le fonctionnement de la technique, quand elle vaut son coût et où elle casse.

The Agent Architect

Un pattern, un compromis, une panne de production racontée. Un brief hebdomadaire court pour ceux qui construisent des systèmes agentiques.

Un email par semaine, désinscription en un clic. Votre adresse ne sert qu'à envoyer le brief.