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AI Agent Run Leases: Stop Stale Workers From Repeating Side Effects

An agent run can look dead, get claimed by a replacement worker, and then wake up just long enough to send the email you thought the replacement was handling. A queue lease helps, but it is not the whole safety boundary. The reliable pattern is a run lease plus a fencing token . The lease decides who may work right now . The fencing token lets the system that performs a side effect reject an…

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ML.NET inference pipelines in .NET Aspire with Redis caching

Quick Answer ML.NET inference pipelines in .NET Aspire: By tuning plumbing—static inference sessions, Redis caching, gRPC streaming, batching, and KEDA scaling—ML.NET pipelines in .NET Aspire stay…

  • ML.NET inference pipelines achieve under 50 ms p99 latency
  • Redis KV-cache improves cross-instance state sharing
  • Local ONNX + Redis KV-cache recommended for latency and cost control

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