Function call data: Managing 346 token overhead
Function calling adds 346 extra tokens per API call. Learn how strict JSON schemas and namespaces reduce this hidden architectural cost for agents.
Framework reviews, autonomous coders and multi-agent systems — tracked and explained by the AI Agents News desk.
Function calling adds 346 extra tokens per API call. Learn how strict JSON schemas and namespaces reduce this hidden architectural cost for agents.
Dissect five canonical AI agent architectures like ReAct and PlanExecute to fix latency, cost, and reliability in production systems.
LangSmith supports four distinct evaluator types to validate agent performance. Learn how offline testing and LLM-as-judge scoring catch regressions early.
crewAI 1.14.7a1 adds native Snowflake Cortex integration and lazy loading to cut startup times. Learn how trained agents persist state across 54.7k stars.
crewAI 1.14.6a1 adds a Skills Repository to decouple logic, addressing fragility in the 79% of businesses already deploying agents.
CrewAI 1.14.6a2 fixes state serialization for 54.7k-star repo, adding GPG verification and blocking environment variable leaks in tool execution.
crewAI 1.15.2 introduces inline skill definitions and unified declarative flow loading to simplify agent orchestration for engineering teams.
crewAI 1.14.7 resolves critical CVEs and adds pluggable backends. Learn how state isolation supports the framework's 54.7k GitHub stars.
With 2,448 agents on Agent.ai, the shift to coordinated teams is clear. Learn how multi-agent units handle complex workflows without manual handoffs.
Seventy percent of implementations will apply agents with narrow, focused roles by 2027, driven by the need for higher accuracy in specialized tasks...
Build a Confluence MCP server using 62 tools and 23 triggers. This guide covers LlamaIndex integration, OAuth handling, and ReAct agent workflows.
OSWorld success hit 66%, yet agents still misclick. I explain why grounding errors cause 34% of failures and how data fixes this.