b8625
server: Bypass API Key validation for WebUI static bundle assets ( #21269 ) fix: Bypass API Key validation for static bundle assets refactor: All bypassed routes in public_endpoints test: Update static assets API Key test macOS/iOS: macOS Apple Silicon (arm64) macOS Intel (x64) iOS XCFramework Linux: Ubuntu x64 (CPU) Ubuntu arm64 (CPU) Ubuntu s390x (CPU) Ubuntu x64 (Vulkan) Ubuntu arm64 (Vulkan) Ubuntu x64 (ROCm 7.2) Ubuntu x64 (OpenVINO) Windows: Windows x64 (CPU) Windows arm64 (CPU) Windows x64 (CUDA 12) - CUDA 12.4 DLLs Windows x64 (CUDA 13) - CUDA 13.1 DLLs Windows x64 (Vulkan) Windows x64 (SYCL) Windows x64 (HIP) openEuler: openEuler x86 (310p) openEuler x86 (910b, ACL Graph) openEuler aarch64 (310p) openEuler aarch64 (910b, ACL Graph)
Provide feedback
Saved searches
Use saved searches to filter your results more quickly
Sign up
Appearance settings
Sign in to highlight and annotate this article
Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
update
LangChain Just Released Deep Agents — And It Changes How You Build AI Systems
Most people are still hand-crafting agent loops in LangGraph. Deep Agents is a higher-level answer to that — and it’s more opinionated than you’d expect. 1.1 Deep agents in action There’s a pattern I’ve watched repeat itself across almost every team that gets serious about building agents. First, they try LangChain chains. Works fine for simple pipelines. Then the task gets complex — needs tool calls, needs to loop, needs to handle variable-length outputs — and chains stop being enough. So they reach for LangGraph, and suddenly they’re writing state schemas, conditional edges, and graph compilation logic before they’ve even gotten to the actual problem. It’s not that LangGraph is bad. It’s extremely powerful. But it’s a runtime — a low-level primitive — and most people are using it as if i
The Complete Architecture for Trustworthy Autonomous Agents
Four layers. Four questions. Missing any one of them is how production systems fail. Every serious conversation about securing AI agents eventually produces the same result: a list of things you need to do that don’t obviously fit together. Fine-grained authorization. Runtime monitoring. Capability scoping. Behavioral guardrails. Intent tracking. Wire-level enforcement. Each of these sounds right in isolation. None of them, in isolation, is sufficient. The reason production agentic systems fail is rarely that they’re missing everything. It’s that they have one or two layers and are missing the others — often without knowing it. The team that built a careful authorization system discovers their agent can still drift from its declared intent in ways that pass every check. The team that deplo
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Releases
Hong Kong’s John Lee pledges to expand after-school care for low-income families
Hong Kong leader John Lee Ka-chiu has promised to allow more children from low-income families to enjoy after-school care on campus by further expanding a government scheme following positive feedback from participants. Social workers and educators welcomed the initiative on Saturday, proposing the government widen the scheme’s coverage to include more pupils and encourage more schools to join through subsidies. The scheme, launched as part of a government’s targeted measures to tackle poverty,...
1 dead in Peru football stadium tragedy, dozens injured
At least one person died and 60 others were injured in what seemed to be a crush of fans at a popular football team’s stadium in the Peruvian capital on Friday night, authorities reported. Police said officers rescued people trapped as a result of an influx of Alianza Lima fans in the south stands of the Alejandro Villanueva Stadium the night before their team’s scheduled game against their biggest rival, Universitario. Earlier, the Ministry of Health had reported the collapse of a wall inside...
Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!