Version 0.1.1
New Optimization - Quick Fixes
I have introduced a "Quick Fix" mechanism to significantly reduce token usage and context size:
- Structured Analysis:
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error_analysis.pynow provides a JSON response that categorizes the error.
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- Missing Imports Logic: If the AI detects a missing library (e.g., numpy),
executor.pynow prepends the import statement directly to the existing code and retries execution.
- Missing Imports Logic: If the AI detects a missing library (e.g., numpy),
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- Bypassing Regeneration: This bypasses the expensive
CodeAdaptationAgentfix_codecall, saving hundreds of tokens and preventing the AI from accidentally changing working parts of the code while trying to fix a simple import. This makes the system much more efficient and robust against context window limits.
- Bypassing Regeneration: This bypasses the expensive
QLX AI powered data science by Qualex
Engineer: Antonio Martínez