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New tool visualizes LLM prompt token usage and detects waste

By PulseAugur Editorial · [1 sources] ·

A new open-source tool called prompt-flamegraph has been released to help developers visualize and analyze token usage within their LLM prompts. This tool generates an interactive HTML flamegraph, breaking down token consumption by category and estimating costs. It also identifies potential waste, such as duplicate text, oversized retrieval-augmented generation (RAG) contexts, lengthy chat histories, or an excessive number of declared tools, offering suggestions for optimization. AI

IMPACT Helps developers optimize LLM prompt costs and efficiency by visualizing token usage and identifying waste.

RANK_REASON New open-source tool release for LLM prompt analysis.

Read on dev.to — LLM tag →

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

New tool visualizes LLM prompt token usage and detects waste

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9 / 100
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New open-source tool release for LLM prompt analysis.
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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.
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High
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COVERAGE [1]

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

    Stop Guessing Where Your LLM Prompt Tokens Go: prompt-flamegraph

    <h1> Stop Guessing Where Your LLM Prompt Tokens Go: prompt-flamegraph </h1> <p>LLM APIs are cheap until they are not.</p> <p>If you build anything serious with tools, RAG, or multi-turn chat, your prompts quickly become huge black boxes. You know you are paying per token, but you…

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