YandexGPT provider was properly added and fixed.

src/contract_check/core/config.py

@@ -76,6 +76,18 @@ class Settings(BaseSettings):
     ollama_timeout: float = 120.0
     ollama_max_concurrency: int = 3
 
+    # --- YandexGPT provider ---
+    yandexgpt_api_key: str = ""
+    yandexgpt_folder_id: str = ""
+    yandexgpt_model: str = "yandexgpt-lite"
+    yandexgpt_fallback_model: str = ""
+    yandexgpt_base_url: str = "https://llm.api.cloud.yandex.net"
+    yandexgpt_completion_path: str = "/foundationModels/v1/completion"
+    yandexgpt_temperature: float = 0.2
+    yandexgpt_max_tokens: int = 3072
+    yandexgpt_timeout: float = 120.0
+    yandexgpt_max_concurrency: int = 3
+
     # --- API ---
     api_host: str = "0.0.0.0"
     api_port: int = 8000

src/contract_check/core/llm/factory.py

@@ -9,6 +9,7 @@ from __future__ import annotations
 from ..config import Settings
 from .ollama_cloud import OllamaCloudProvider
 from .port import LLMProvider
+from .yandex_gpt import YandexGPTProvider
 
 
 def build_llm_provider(settings: Settings) -> LLMProvider:
@@ -26,7 +27,21 @@ def build_llm_provider(settings: Settings) -> LLMProvider:
                 max_concurrency=settings.ollama_max_concurrency,
                 chunk_size=settings.chunk_size_chars,
             )
+        case "yandex_gpt":
+            return YandexGPTProvider(
+                api_key=settings.yandexgpt_api_key,
+                folder_id=settings.yandexgpt_folder_id,
+                model=settings.yandexgpt_model,
+                fallback_model=settings.yandexgpt_fallback_model or None,
+                base_url=settings.yandexgpt_base_url,
+                completion_path=settings.yandexgpt_completion_path,
+                temperature=settings.yandexgpt_temperature,
+                max_tokens=settings.yandexgpt_max_tokens,
+                timeout=settings.yandexgpt_timeout,
+                max_concurrency=settings.yandexgpt_max_concurrency,
+                chunk_size=settings.chunk_size_chars,
+            )
         case _:
             raise ValueError(
-                f"unknown LLM_PROVIDER={settings.llm_provider!r} (expected: 'ollama_cloud')"
+                f"unknown LLM_PROVIDER={settings.llm_provider!r} (expected: 'ollama_cloud', 'yandex_gpt')"
             )

src/contract_check/worker_analyze/handler.py

@@ -205,6 +205,13 @@ class AnalyzeHandler:
         error: str,
     ) -> None:
         mq_failed.labels(queue="analyze", failure_class=failure_class).inc()
+        log.warning(
+            "analyze_failure_retrying",
+            document_id=str(payload.document_id),
+            attempt=attempt,
+            failure_class=failure_class,
+            error=error,
+        )
         async with self._session_factory() as session:
             await session.execute(
                 text(
@@ -254,4 +261,5 @@ class AnalyzeHandler:
             "analyze_terminal_failure",
             document_id=str(payload.document_id),
             failure_class=failure_class,
+            error=error,
         )