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Developer details method for diagnosing slow AI agent tool calls

By PulseAugur Editorial · [1 sources] ·

A developer has outlined a method for diagnosing slow tool calls within AI agents, emphasizing the importance of accurately measuring time durations. The approach involves differentiating between elapsed time and accumulated tool time, as summing overlapping durations can lead to inflated figures. The developer suggests recording start and finish times alongside individual call intervals to pinpoint actual delays, rather than solely relying on frequency or outlier durations. This method, applied to a tool called ccdeck for analyzing Claude Code and Codex calls, aims to identify candidates for optimization by examining sequences, retries, and failure rates, while ensuring that changes do not compromise task correctness. AI

IMPACT Provides guidance for developers on optimizing AI agent performance and debugging tool call latency.

RANK_REASON Developer provides technical advice on debugging AI agent performance, not a new release or industry-shaping event.

Read on dev.to — Claude Code tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Developer details method for diagnosing slow AI agent tool calls

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3 / 100
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Commentary
Developer provides technical advice on debugging AI agent performance, not a new release or industry-shaping event.
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product, infra
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. dev.to — Claude Code tag TIER_1 English(EN) · Bargan Constantin ·

    Your agent's slowest tool call may be waiting for you

    <p>An agent takes twelve minutes to finish a task. The tool report shows twenty minutes of activity. One test command took three minutes, although the same command normally finishes in seconds.</p> <p>Before changing the model or the test runner, check what the timer includes.</p…

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