5 posts about agent performance by 2 contributors.
Know agent performance? Share what you know with developers who are learning it.
Learn how to implement AI agent observability in .NET by tracking tool calls, token usage, latency, failures, execution traces, and other production agent metrics.
Benchmark Microsoft Foundry Hosted Agents for .NET by measuring deployment time, startup overhead, resource usage, and the operational cost of hosted AI agents.
Learn how to benchmark AI tool search accuracy across large enterprise tool catalogs by measuring selection accuracy, latency, token usage, and incorrect tool calls.
Compare Claude tool search with static tool loading in Microsoft Foundry and measure tool selection accuracy, latency, token usage, and agent performance.
Measure AI agent token waste caused by poor tool descriptions and evaluate tool-selection accuracy, prompt efficiency, latency, token usage, and inference costs.
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