Context Window Visualizer - See Your LLM's Memory Before You Run Out
The article introduces a free, local tool called
Why it matters
This tool can help LLM developers avoid context errors and optimize their applications for better performance and reliability.
Key Points
- 1The tool provides a proportional bar chart showing the share of each context slot (e.g., system prompt, user message, few-shot examples) in the overall context window
- 2It includes a token floor map that color-codes each context slot and shows the token range for each block
- 3The tool compares the current context against 20 different LLM models, showing the percentage used, tokens remaining, and a fit indicator
- 4Users can add, remove, and rename context slots, and share or export the context information
Details
The Context Window Visualizer is a browser-based tool that helps developers working with large language models (LLMs) better understand and manage the context window for their applications. When building LLM-powered apps, developers often struggle to keep track of the total context size, which can include system prompts, user messages, few-shot examples, and retrieval context. The tool provides a visual representation of the context, showing the proportional usage of each slot and the overall token count. It also compares the current context against 20 different LLM models, including GPT-4, Claude, Gemini, and LLaMA, to help developers ensure their context fits within the model's limits. The tool is 100% local, with no data leaving the user's browser, and offers features like sharing the context via URL and exporting the report in Markdown format.
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