feat: control-pipeline Service aus Compliance-Repo migriert

Control-Pipeline (Pass 0a/0b, BatchDedup, Generator) als eigenstaendiger
Service in Core, damit Compliance-Repo unabhaengig refakturiert werden kann.
Schreibt weiterhin ins compliance-Schema der shared PostgreSQL.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

control-pipeline/config.py

@@ -0,0 +1,67 @@
+import os
+
+
+class Settings:
+    """Environment-based configuration for control-pipeline."""
+
+    # Database (compliance schema)
+    DATABASE_URL: str = os.getenv(
+        "DATABASE_URL",
+        "postgresql://breakpilot:breakpilot123@localhost:5432/breakpilot_db",
+    )
+    SCHEMA_SEARCH_PATH: str = os.getenv(
+        "SCHEMA_SEARCH_PATH", "compliance,core,public"
+    )
+
+    # Qdrant (vector search for dedup)
+    QDRANT_URL: str = os.getenv("QDRANT_URL", "http://localhost:6333")
+    QDRANT_API_KEY: str = os.getenv("QDRANT_API_KEY", "")
+
+    # Embedding Service
+    EMBEDDING_SERVICE_URL: str = os.getenv(
+        "EMBEDDING_SERVICE_URL", "http://embedding-service:8087"
+    )
+
+    # LLM - Anthropic
+    ANTHROPIC_API_KEY: str = os.getenv("ANTHROPIC_API_KEY", "")
+    CONTROL_GEN_ANTHROPIC_MODEL: str = os.getenv(
+        "CONTROL_GEN_ANTHROPIC_MODEL", "claude-sonnet-4-6"
+    )
+    DECOMPOSITION_LLM_MODEL: str = os.getenv(
+        "DECOMPOSITION_LLM_MODEL", "claude-haiku-4-5-20251001"
+    )
+    CONTROL_GEN_LLM_TIMEOUT: int = int(
+        os.getenv("CONTROL_GEN_LLM_TIMEOUT", "180")
+    )
+
+    # LLM - Ollama (fallback)
+    OLLAMA_URL: str = os.getenv(
+        "OLLAMA_URL", "http://host.docker.internal:11434"
+    )
+    CONTROL_GEN_OLLAMA_MODEL: str = os.getenv(
+        "CONTROL_GEN_OLLAMA_MODEL", "qwen3.5:35b-a3b"
+    )
+
+    # SDK Service (for RAG search proxy)
+    SDK_URL: str = os.getenv(
+        "SDK_URL", "http://ai-compliance-sdk:8090"
+    )
+
+    # Auth
+    JWT_SECRET: str = os.getenv("JWT_SECRET", "")
+
+    # Server
+    PORT: int = int(os.getenv("PORT", "8098"))
+    LOG_LEVEL: str = os.getenv("LOG_LEVEL", "INFO")
+    ENVIRONMENT: str = os.getenv("ENVIRONMENT", "development")
+
+    # Pipeline
+    DECOMPOSITION_BATCH_SIZE: int = int(
+        os.getenv("DECOMPOSITION_BATCH_SIZE", "5")
+    )
+    DECOMPOSITION_LLM_TIMEOUT: int = int(
+        os.getenv("DECOMPOSITION_LLM_TIMEOUT", "120")
+    )
+
+
+settings = Settings()