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Developer creates Python script to measure LLM endpoint latency

A developer has created a Python script to accurately measure the latency of LLM endpoints, distinguishing between the time to the first token (TTFT) and the total response time. This tool is designed to address the unreliability of simple latency timers when dealing with streaming models, where initial responses can be fast but overall completion slow. The script, named `ttfbt.py`, can be used with any OpenAI-compatible API endpoint and requires minimal setup, including Python and the `requests` library. AI

IMPACT Enables developers to better assess and compare the performance of various LLM endpoints.

RANK_REASON Developer-created utility script for measuring LLM endpoint performance.

Read on dev.to — LLM tag →

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

Developer creates Python script to measure LLM endpoint latency

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0 / 100
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Newsworthiness bucket
Tool
Developer-created utility script for measuring LLM endpoint performance.
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Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, infra
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High
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Story freshness
40 days old
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Alex Chen ·

    Build a Tiny Streaming Timer Before You Trust a Free Model Endpoint

    <p>Naive latency timers lie when a model streams: the first chunk can arrive in 400 ms while the full response takes 3 seconds, and a total-time-only probe hides where the wait happens.</p> <p>I wanted one small probe I could point at any OpenAI-compatible chat endpoint. This wee…