ea4all-gradio-agents-mcp-hackathon-tools-apm-upload

ea4all/ea4all_mcp.py

@@ -59,6 +59,7 @@ config = RunnableConfig(
 
 async def call_indexer_apm(config: RunnableConfig):
     response = await indexer_graph.ainvoke(input={"docs":[]}, config=config)
+    return response
 
 #ea4all-qna-agent-conversational-with-memory
 async def run_qna_agentic_system(question: str) -> AsyncGenerator[list, None]:
@@ -78,6 +79,7 @@ async def run_qna_agentic_system(question: str) -> AsyncGenerator[list, None]:
         format_response = "Hi, how are you today? To start using the EA4ALL MCP Tool, provide the required Inputs!"
         chat_memory.append(ChatMessage(role="assistant", content=format_response))
     else:
+        index = call_indexer_apm(config) #call indexer to update the index
         response = await apm_graph.ainvoke({"question": question}, config=config)
         chat_memory.append(ChatMessage(role="assistant", content=response['generation']))
 
@@ -160,8 +162,6 @@ async def run_reference_architecture_agentic_system(business_query: str) -> Asyn
         ) #astream not loading the graph
         yield response.content
 
-
-
 async def run_pmo_agentic_system(question:str) -> AsyncGenerator[list, None]:
     """
     description: 
@@ -374,9 +374,3 @@ with gr.Blocks(title="Your ArchitectGPT",fill_height=True, fill_width=True) as e
 
     #Set initial state of apm and llm
     ea4all_mcp.load(ea4all_agent_init, outputs=[ea4all_agent_metadata,ea4all_chatbot, ea4all_vqa, pmo_chatbot, confluence_list, confluence_df, apm_df, pmo_df], show_api=False)
-    ea4all_mcp.then(
-        call_indexer_apm, 
-        inputs=None, 
-        outputs=None, 
-        show_api=False
-    ) #call indexer graph to load the APM