АРЧ - UI и domain loop: синхронизировать локальную LLM-модель через shared config + КВИН 3

scripts/domain_case_loop.py

@@ -19,14 +19,15 @@ DEFAULT_ARTIFACTS_ROOT = REPO_ROOT / "artifacts" / "domain_runs"
 DEFAULT_SESSIONS_DIR = REPO_ROOT / "llm_normalizer" / "data" / "assistant_sessions"
 DEFAULT_REPORTS_DIR = REPO_ROOT / "llm_normalizer" / "reports"
 DEFAULT_LOOP_SCHEMA_DIR = REPO_ROOT / "docs" / "orchestration" / "schemas"
+SHARED_LLM_CONNECTION_CONFIG = REPO_ROOT / "llm_normalizer" / "data" / "shared_llm_connection.json"
 DEFAULT_BACKEND_URL = "http://127.0.0.1:8787"
 DEFAULT_PROMPT_VERSION = "address_query_runtime_v1"
-DEFAULT_LLM_PROVIDER = "local"
-DEFAULT_LLM_MODEL = "qwen2.5-14b-instruct-1m"
-DEFAULT_LLM_BASE_URL = "http://127.0.0.1:1234/v1"
+BASE_DEFAULT_LLM_PROVIDER = "local"
+BASE_DEFAULT_LLM_MODEL = "qwen2.5-14b-instruct-1m"
+BASE_DEFAULT_LLM_BASE_URL = "http://127.0.0.1:1234/v1"
 DEFAULT_LLM_API_KEY = ""
-DEFAULT_TEMPERATURE = 0.0
-DEFAULT_MAX_OUTPUT_TOKENS = 900
+BASE_DEFAULT_TEMPERATURE = 0.0
+BASE_DEFAULT_MAX_OUTPUT_TOKENS = 900
 TECH_SECTION_HEADER = "### technical_debug_payload_json"
 SCENARIO_MANIFEST_SCHEMA_VERSION = "domain_scenario_manifest_v1"
 SCENARIO_STATE_SCHEMA_VERSION = "domain_scenario_state_v1"
@@ -35,6 +36,51 @@ SCENARIO_PACK_SCHEMA_VERSION = "domain_scenario_pack_v1"
 ACTIVE_DOMAIN_CONTRACT_SCHEMA_VERSION = "active_domain_contract_v1"
 AUTONOMOUS_LOOP_SCHEMA_VERSION = "domain_autonomous_loop_v1"
 
+
+def load_shared_local_llm_defaults(config_path: Path | None = None) -> dict[str, Any]:
+    defaults: dict[str, Any] = {
+        "llm_provider": BASE_DEFAULT_LLM_PROVIDER,
+        "llm_model": BASE_DEFAULT_LLM_MODEL,
+        "llm_base_url": BASE_DEFAULT_LLM_BASE_URL,
+        "temperature": BASE_DEFAULT_TEMPERATURE,
+        "max_output_tokens": BASE_DEFAULT_MAX_OUTPUT_TOKENS,
+    }
+    target = config_path or SHARED_LLM_CONNECTION_CONFIG
+    if not target.exists():
+        return defaults
+    try:
+        raw = json.loads(target.read_text(encoding="utf-8"))
+    except (OSError, json.JSONDecodeError):
+        return defaults
+    connection = raw.get("connection")
+    if not isinstance(connection, dict):
+        return defaults
+    if str(connection.get("llmProvider") or "").strip().lower() != "local":
+        return defaults
+
+    model = str(connection.get("model") or "").strip()
+    base_url = str(connection.get("baseUrl") or "").strip()
+    temperature = connection.get("temperature")
+    max_output_tokens = connection.get("maxOutputTokens")
+
+    if model:
+        defaults["llm_model"] = model
+    if base_url:
+        defaults["llm_base_url"] = base_url
+    if isinstance(temperature, (int, float)) and not isinstance(temperature, bool):
+        defaults["temperature"] = float(temperature)
+    if isinstance(max_output_tokens, (int, float)) and not isinstance(max_output_tokens, bool):
+        defaults["max_output_tokens"] = max(1, int(max_output_tokens))
+    return defaults
+
+
+SHARED_LLM_DEFAULTS = load_shared_local_llm_defaults()
+DEFAULT_LLM_PROVIDER = str(SHARED_LLM_DEFAULTS["llm_provider"])
+DEFAULT_LLM_MODEL = str(SHARED_LLM_DEFAULTS["llm_model"])
+DEFAULT_LLM_BASE_URL = str(SHARED_LLM_DEFAULTS["llm_base_url"])
+DEFAULT_TEMPERATURE = float(SHARED_LLM_DEFAULTS["temperature"])
+DEFAULT_MAX_OUTPUT_TOKENS = int(SHARED_LLM_DEFAULTS["max_output_tokens"])
+
 TOP_LEVEL_NOISE_PATTERNS = (
     re.compile(r"^(?:status|статус(?: результата)?)\b", re.IGNORECASE),
     re.compile(r"^(?:что учтено|сводка)\b", re.IGNORECASE),