Merge branch 'main' into filinto/dapr-default-better-devex

Author: filintod

dapr_agents/agents/durableagent/agent.py

@@ -154,10 +154,6 @@ async def run(self, input_data: Union[str, Dict[str, Any]]) -> Any:
         except asyncio.CancelledError:
             logger.warning("Workflow execution was cancelled")
             raise
-        finally:
-            # Clean up runtime
-            if self.wf_runtime_is_running:
-                self.stop_runtime()
 
     @message_router
     @workflow(name="AgenticWorkflow")
@@ -821,7 +817,9 @@ async def process_broadcast_message(self, message: BroadcastMessage):
             agent_msg = DurableAgentMessage(**message.model_dump())
 
             # Persist to global chat history
-            self.state.chat_history.append(agent_msg)
+            if "chat_history" not in self.state:
+                self.state["chat_history"] = []
+            self.state["chat_history"].append(agent_msg.model_dump(mode="json"))
             # Save the state after processing the broadcast message
             self.save_state()
 

dapr_agents/document/embedder/sentence.py

@@ -131,7 +131,6 @@ def embed_query(
     ) -> Union[List[float], List[List[float]]]:
         """
         Alias for embed(input) as it is used for querying in some sections of the code.
-
         TODO: remove this method after updating the code to use embed(input) directly or rename the method embed to embed_query
         """
         return self.embed(input)

quickstarts/03-durable-agent-multitool-dapr/multi_tool_agent_dapr.py

@@ -48,11 +48,7 @@ async def main():
         "search for the official tourism site for Boston?"
     )
 
-    try:
-        await agent.run(prompt)
-    finally:
-        # stop the workflow runtime engine
-        agent.stop_runtime()
+    await agent.run(prompt)
 
 
 if __name__ == "__main__":

quickstarts/06-document-agent-chainlit/README.md

@@ -19,6 +19,10 @@ This quickstart demonstrates how to build a fully functional, enterprise-ready a
   - macOS: `brew install poppler`
   - Ubuntu/Debian: `sudo apt-get install poppler-utils`
   - Windows: Download from [poppler releases](https://github.com/oschwartz10612/poppler-windows/releases)
+- Tesseract OCR (for text extraction from images/PDFs) - Install with:
+  - macOS: `brew install tesseract`
+  - Ubuntu/Debian: `sudo apt-get install tesseract-ocr`
+  - Windows: Download from [tesseract releases](https://github.com/UB-Mannheim/tesseract/wiki)
 
 ## Environment Setup
 

quickstarts/07-agent-mcp-client-sse/README.md

@@ -91,7 +91,7 @@ python server.py --server_type sse --port 8000
 2. In a separate terminal window, start the agent with Dapr:
 
 ```bash
-dapr run --app-id weatherappmcp --app-port 8001 --dapr-http-port 3500 --resources-path ./components/ -- python app.py
+dapr run --app-id weatherappmcp  --dapr-http-port 3500 --resources-path ./components/ -- python app.py
 ```
 
 3. Send a test request to the agent:

quickstarts/09-agents-as-tasks-in-workflows/requirements.txt

@@ -1,4 +1,4 @@
-dapr-agents
-arize-phoenix==11.22.0
+dapr-agents[observability]
+arize-phoenix==11.37.0
 # For local development use local changes by commenting out the dapr-agents line above and uncommenting the line below:
-# -e ../../
+# -e ../../[observability]