fix: additional tools won't duplicate

src/codegen/extensions/langchain/agent.py

@@ -63,7 +63,7 @@
     """
     llm = LLM(model_provider=model_provider, model_name=model_name, **kwargs)
 
-    # Get all codebase tools
+    # Initialize default tools
     tools = [
         ViewFileTool(codebase),
         ListDirectoryTool(codebase),
@@ -80,22 +80,18 @@
         ReflectionTool(codebase),
         SearchFilesByNameTool(codebase),
         GlobalReplacementEditTool(codebase),
-        # SemanticSearchTool(codebase),
-        # =====[ Github Integration ]=====
-        # Enable Github integration
-        # GithubCreatePRTool(codebase),
-        # GithubViewPRTool(codebase),
-        # GithubCreatePRCommentTool(codebase),
-        # GithubCreatePRReviewCommentTool(codebase),
     ]
 
-    # Add additional tools if provided
     if additional_tools:
+        # Get names of additional tools
+        additional_names = {t.get_name() for t in additional_tools}
+        # Keep only tools that don't have matching names in additional_tools
+        tools = [t for t in tools if t.get_name() not in additional_names]
         tools.extend(additional_tools)
 
     memory = MemorySaver() if memory else None
 
     return create_react_agent(model=llm, tools=tools, system_message=system_message, checkpointer=memory, debug=debug, config=config)
 
 
 def create_chat_agent(
@@ -143,9 +139,9 @@
     if additional_tools:
         tools.extend(additional_tools)
 
     memory = MemorySaver() if memory else None
 
     return create_react_agent(model=llm, tools=tools, system_message=system_message, checkpointer=memory, debug=debug, config=config)
 
 
 def create_codebase_inspector_agent(
@@ -182,8 +178,8 @@
         RevealSymbolTool(codebase),
     ]
 
     memory = MemorySaver() if memory else None
     return create_react_agent(model=llm, tools=tools, system_message=system_message, checkpointer=memory, debug=debug, config=config)
 
 
 def create_agent_with_tools(
@@ -216,6 +212,6 @@
     """
     llm = LLM(model_provider=model_provider, model_name=model_name, **kwargs)
 
     memory = MemorySaver() if memory else None
 
     return create_react_agent(model=llm, tools=tools, system_message=system_message, checkpointer=memory, debug=debug, config=config)