AI
llm-echo 0.5
Publication: Simon Willison's Weblog
Author: Not available in collected metadata
Source published: 18/10/2026, 23:16:16 UTC
Briefing created: 19/10/2026, 00:16:44 UTC
Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 19/10/2026, 00:12:25 UTC.
Briefings
The llm-echo 0.5 release updates simulated token usage to include tool calls, system prompts, and reasoning tokens. The plugin's 'model' component now accurately reflects actual token consumption rather than just counting input prompts. This update provides a more realistic estimation of computational resources for LLM experiments.
Key points
- The llm-echo 0.5 plugin now calculates simulated token usage by accounting for tool calls, system prompts, and reasoning tokens in addition to input prompts.
- Example usage shows the plugin outputting a JSON object containing prompt details and system information alongside the token usage metrics.
Context
This update improves the accuracy of simulated token usage estimates in the llm-echo debug plugin, which is used for testing LLM performance and resource consumption.
Limitations
The evidence is a single release note from October 2026. Specific numbers for token counts are not provided, and the exact impact of this update on experimental results remains unverified.
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