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Simon Willison updates llm-echo plugin for accurate token usage simulation

By PulseAugur Editorial · [1 sources] ·

Simon Willison has updated his llm-echo debug plugin to better simulate token usage for LLM releases. The latest version, 0.5, now accounts for tool calls, system prompts, and reasoning tokens in its usage counts. This enhancement allows developers to more accurately track token consumption during testing, as demonstrated by an example showing input and output token calculations. AI

IMPACT Enhances LLM development tooling by providing more accurate token usage simulation for testing.

RANK_REASON The item describes an update to a specific debugging tool for LLMs, not a core AI release or significant industry event.

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

Simon Willison updates llm-echo plugin for accurate token usage simulation

How we ranked this

Signal score
19 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
The item describes an update to a specific debugging tool for LLMs, not a core AI release or significant industry event.
Source corroboration
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
Clearly on-topic for AI-industry coverage.
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Breaking (< 6h)
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Full methodology in our editorial standards.

COVERAGE [1]

  1. Simon Willison TIER_1 (CY) ·

    llm-echo 0.5

    <p><strong>Release:</strong> <a href="https://github.com/simonw/llm-echo/releases/tag/0.5">llm-echo 0.5</a></p> <p>I'm working towards a new <a href="https://llm.datasette.io/">LLM</a> release, and testing PRs caused me to revisit the <code>llm-echo</code> debug plugin. This plug…

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