Light1YT
fceaaf9a2c
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Add the LLM prose-composition path for the parcel-forecast chat, layered over the deterministic Step-1 fallback which stays the safety net. - chat/tools.py: 5 read-only section tools (exec_summary, product_recommendation, forecast, risks, scenarios) — pure slices of the loaded report dict, no DB/ recompute, graceful on missing sections. market_now (raw analyze blob) and meta are deliberately NOT exposed -> highest-PII data cannot reach the LLM. - chat/safe_payload.py: the §19 gate — single place that builds the outbound SafePayload from a section-aggregate allowlist; honors is_confidential hard-block. - chat/orchestrator.py: manual tool-call loop with call-cap/termination, real grounded_in provenance; any LLMResult.ok=False (disabled/timeout/rate_limited/ redaction_refused/call_cap/provider_error/empty) degrades to the deterministic answer. - llm/prompts.py: versioned chat_system@v1 — answer only from sections, never fabricate numbers, advisory tone, decline out-of-scope. - api/v1/chat.py: branch on settings.llm_enabled; sync complete bridged via run_in_threadpool. Default-off -> deterministic path, no provider built. - Tests: fake provider only (no network), planted-secret redaction-boundary + per-reason fallback + call-cap + numbers-from-report coverage. Refs #957 |
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| .. | ||
| analysis_runs | ||
| cadastre | ||
| chat | ||
| etl | ||
| exporters | ||
| forecasting | ||
| generative | ||
| llm | ||
| photos | ||
| scrapers | ||
| site_finder | ||
| __init__.py | ||
| analytics_queries.py | ||
| analytics_refresh.py | ||
| forecast_request_cache.py | ||
| insights.py | ||
| job_settings.py | ||
| objective_etl.py | ||
| objective_sync_config.py | ||
| own_projects.py | ||