framework
Python agent framework used to custom-build Zalando's internal LLM CLI tool.
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contextlib.suppress discards the exception exactly as try/except/pass does, but it is a call expression rather than a handler, so rules that dispatch on handlers never see it. One new analyzer counts the gap.
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A dev.to walkthrough of the run graph finds one append-only history per run, copied whole into each model call. The step count sets the exponent; your tool outputs set the price.
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A paper scores five agent interoperability protocols against six governance dimensions and finds they coordinate tasks without expressing who may approve, how dissent survives, or when a human is called.
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Akamai says half of enterprise AI deployments miss their own latency targets at peak load. The arithmetic points at where the work runs, not at how much GPU sits behind it.
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Progressive disclosure on a 20-tool agent saved about 30% of input tokens overall, but the per-task split shows cost stops being flat and starts tracking your traffic mix.
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A 2.5-year retrospective spanning more than 250 engineering teams credits a LiteLLM-based API proxy, stood up in January 2024, for metering adoption and forcing client upgrades.
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