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5e7097399f
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@@ -286,7 +286,12 @@ LESSON_SYNTH_MODEL = os.environ.get("LESSON_SYNTH_MODEL", HALACHA_EXTRACT_MODEL)
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LESSON_SYNTH_EFFORT = os.environ.get("LESSON_SYNTH_EFFORT", "high")
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LESSON_SYNTH_DRIFT_FLOOR = float(os.environ.get("LESSON_SYNTH_DRIFT_FLOOR", "0.80"))
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# Cosine floor for two lessons to land in the same cluster (greedy, within shard).
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LESSON_SYNTH_CLUSTER_THRESHOLD = float(os.environ.get("LESSON_SYNTH_CLUSTER_THRESHOLD", "0.82"))
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# Tuned empirically (#158 dry-run, 81 lessons): the lessons are diverse (median
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# pairwise cosine ~0.48, max ~0.72), so 0.82 merged nothing. 0.68 captures the real
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# near-duplicates (5 faithful clusters across rishuy+betterment, all clearing the
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# 0.80 drift gate) without merging weakly-related lessons; the drift gate is the
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# quality backstop below this.
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LESSON_SYNTH_CLUSTER_THRESHOLD = float(os.environ.get("LESSON_SYNTH_CLUSTER_THRESHOLD", "0.68"))
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# Mistral OCR (fallback for scanned PDFs — replaces Google Cloud Vision)
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MISTRAL_API_KEY = os.environ.get("MISTRAL_API_KEY", "")
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