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embeddings.search(query) tools=[sql_query, calc]
plan → step → step →
answer
prompts/intent.md
scenarios/lisacloud.json sql_builder.py ·
regex
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# Echte Komponenten — die deterministischen 35 %
intent_classifier_logreg.LogRegIntentClassifier # Embed + LogReg, ~10 ms total
query_decomposer.MULTI_STEP_PATTERNS # 16 Regex — ein Schritt oder zwei?
query_decomposer.decompose # JSON-Parse-Fallback (Zeile 130)
intent_classifier.looks_like_injection # 30 Regex — Prompt-Injection-Schutz
sqlite3.execute # 1 ms — kein Modell schlägt stdlib
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✓
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scripts/benchmark.py
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