- Adding Prometheus and grafana services in development

- Adding Prometheus metrics to the business events
- Ensure asynchronous behaviour of crewai specialists.
- Adapt Business events to working in mixed synchronous / asynchronous contexts
- Extend business events with specialist information
- Started adding a grafana dashboard (TBC)

eveai_chat_workers/specialists/RAG_SPECIALIST/1_0.py

@@ -123,10 +123,10 @@ class RAGFlow(EveAICrewAIFlow[RAGFlowState]):
         return ""
 
     @listen(process_inputs)
-    def execute_rag(self):
+    async def execute_rag(self):
         inputs = self.state.input.model_dump()
         try:
-            crew_output = self.rag_crew.kickoff(inputs=inputs)
+            crew_output = await self.rag_crew.kickoff_async(inputs=inputs)
             self.specialist_executor.log_tuning("RAG Crew Output", crew_output.model_dump())
             output_pydantic = crew_output.pydantic
             if not output_pydantic:
@@ -139,13 +139,13 @@ class RAGFlow(EveAICrewAIFlow[RAGFlowState]):
             self.exception_raised = True
             raise e
 
-    def kickoff(self, inputs=None):
-        with current_event.create_span("RAG Specialist Execution"):
+    async def execute_async(self, inputs=None):
+        async with current_event.create_span_async("RAG Specialist Execution"):
             self.specialist_executor.log_tuning("Inputs retrieved", inputs)
             self.state.input = RAGSpecialistInput.model_validate(inputs)
             self.specialist.update_progress("EveAI Flow Start", {"name": "RAG"})
             try:
-                result = super().kickoff()
+                result = await super().kickoff_async()
             except Exception as e:
                 current_app.logger.error(f"Error kicking of Flow: {str(e)}")