Maksim Totmin
f1537f1d6b
- match: require candidate ordinal to equal the query ordinal in fuzzy search (deterministic typo recall 73% -> 80%, no wrong houses) - resolver: compatibleVariant guard — LLM may only fix street spelling, keeping the same words, ordinal and house unit; damerau distance for transpositions - llm: prompt moved out of code (go:embed default_prompt.txt) with llm.system_prompt / llm.system_prompt_file overrides; guided JSON parsing tolerant of thinking blocks - address: recognize ordinals appearing after the street name - tests: first coverage for the LLM adapter and config prompt loading; README Measured (sample 200): deterministic 94.7-95.8% exact / 0 wrong across 4 seeds; LLM+guard typo 90.7-89.8% / 0 wrong. LLM fallback latency ~1.2-1.9s.
27 lines
547 B
JSON
27 lines
547 B
JSON
{
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"addr": ":6171",
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"data_path": "registry.db",
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"log_level": "info",
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"resolve": {
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"fuzzy_threshold": 0.82,
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"ambiguity_margin": 0.06,
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"max_candidates": 5
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},
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"portal": {
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"url": "${ADDRKIT_PORTAL_URL}",
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"timeout_seconds": 2,
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"retries": 1
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},
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"llm": {
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"enabled": false,
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"url": "${ADDRKIT_LLM_URL}",
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"token": "${ADDRKIT_LLM_TOKEN}",
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"model": "qwen3-14b-awq",
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"timeout_seconds": 3,
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"max_tokens": 512,
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"disable_thinking": true,
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"system_prompt": "",
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"system_prompt_file": ""
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}
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}
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