conductor(checkpoint): Final checkpoint for RAG Support track - Phase 4 complete

src/ai_client.py

@@ -2250,7 +2250,7 @@ def send(
  monitor = performance_monitor.get_monitor()
  if monitor.enabled: monitor.start_component("ai_client.send")
 
- if rag_engine and getattr(rag_engine.config, "enabled", False):
+ if rag_engine and getattr(rag_engine.config, "enabled", False) and "## Retrieved Context" not in user_message:
   chunks = rag_engine.search(user_message)
   if chunks:
    context_block = "## Retrieved Context\n\n"

src/app_controller.py

@@ -534,6 +534,7 @@ class AppController:
   if self.rag_config:
    self.rag_config.embedding_provider = value
    if self.rag_engine: self.rag_engine = rag_engine.RAGEngine(self.rag_config, self.active_project_root)
+   if self.rag_engine: self.rag_engine = rag_engine.RAGEngine(self.rag_config, self.active_project_root)
 
  @property
  def rag_chunk_size(self) -> int:

src/models.py

@@ -598,10 +598,12 @@ class MCPConfiguration:
 
 @dataclass
 class VectorStoreConfig:
- provider: str # 'chroma', 'qdrant', 'mock'
+ provider: str # 'chroma', 'qdrant', 'mock', 'mcp'
  url: Optional[str] = None
  api_key: Optional[str] = None
  collection_name: str = 'manual_slop'
+ mcp_server: Optional[str] = None
+ mcp_tool: Optional[str] = None
 
  def to_dict(self) -> Dict[str, Any]:
   return {
@@ -609,6 +611,8 @@ class VectorStoreConfig:
    "url": self.url,
    "api_key": self.api_key,
    "collection_name": self.collection_name,
+   "mcp_server": self.mcp_server,
+   "mcp_tool": self.mcp_tool,
   }
 
  @classmethod
@@ -618,6 +622,8 @@ class VectorStoreConfig:
    url=data.get("url"),
    api_key=data.get("api_key"),
    collection_name=data.get("collection_name", "manual_slop"),
+   mcp_server=data.get("mcp_server"),
+   mcp_tool=data.get("mcp_tool"),
   )
 
 @dataclass