500 Error Durable Agent in Quickstart

[agardnerIT]

I'm trying to follow the Quickstart on a MacBook Air + Docker Desktop. I can successfully complete 1 and 2 but ex. 3 (Durable Agent) fails.

https://github.com/dapr/dapr-agents/tree/main/quickstarts/01-hello-world

ERRO[0020] Failed to watch scheduler jobs, retrying: rpc error: code = Unavailable desc = connection error: desc = "transport: Error while dialing: dial tcp 172.17.0.6:50006: i/o timeout"  app_id=stateful-llm instance=Adams-MacBook-Air.local scope=dapr.runtime.scheduler.cluster type=log ver=1.15.9
ERRO[0021] error watching scheduler jobs: rpc error: code = Unavailable desc = connection error: desc = "transport: Error while dialing: dial tcp 172.17.0.6:50006: i/o timeout"failed to run scheduler cluster clients  app_id=stateful-llm instance=Adams-MacBook-Air.local scope=dapr.runtime.scheduler.loops.connector type=log ver=1.15.9
== APP == INFO:dapr_agents.workflow.agentic:Starting workflow 'ToolCallingWorkflow' with input: {'task': 'I want to find flights to Paris'}
== APP == INFO:dapr_agents.workflow.base:Starting workflow runtime.
== APP == 2025-08-17 12:38:22.594 durabletask-worker INFO: Starting gRPC worker that connects to dns:127.0.0.1:60027
== APP == 2025-08-17 12:38:22.597 durabletask-client INFO: Starting new 'ToolCallingWorkflow' instance with ID = '472f8edc0b124de39d6af7af063c5313'.
== APP == 2025-08-17 12:38:22.613 durabletask-worker INFO: Successfully connected to dns:127.0.0.1:60027. Waiting for work items...
INFO[0150] work item stream established by user-agent: [grpc-python/1.74.0 grpc-c/49.0.0 (osx; chttp2)]  app_id=stateful-llm instance=Adams-MacBook-Air.local scope=dapr.runtime.wfengine type=log ver=1.15.9
INFO[0150] Updating actor types: [dapr.internal.default.stateful-llm.workflow dapr.internal.default.stateful-llm.activity]  app_id=stateful-llm instance=Adams-MacBook-Air.local scope=dapr.runtime.actors.placement type=log ver=1.15.9
WARN[0150] Error processing operation DaprBuiltInActorNotFoundRetries. Retrying in 1s…  app_id=stateful-llm instance=Adams-MacBook-Air.local scope=dapr.runtime type=log ver=1.15.9
INFO[0152] Placement tables updated, version: 1          app_id=stateful-llm instance=Adams-MacBook-Air.local scope=dapr.runtime.actors.placement type=log ver=1.15.9
INFO[0152] Running actor reminder migration from state store to scheduler  app_id=stateful-llm instance=Adams-MacBook-Air.local scope=dapr.runtime.actors.reminders.migration type=log ver=1.15.9
ERRO[0152] Failed to watch scheduler jobs, retrying: rpc error: code = Unavailable desc = connection error: desc = "transport: Error while dialing: dial tcp 172.17.0.6:50006: i/o timeout"  app_id=stateful-llm instance=Adams-MacBook-Air.local scope=dapr.runtime.scheduler.cluster type=log ver=1.15.9
ERRO[0152] Error attempting to migrate reminders to scheduler: rpc error: code = Unavailable desc = connection error: desc = "transport: Error while dialing: dial tcp 172.17.0.6:50006: i/o timeout"  app_id=stateful-llm instance=Adams-MacBook-Air.local scope=dapr.runtime.actor.reminders.scheduler type=log ver=1.15.9
WARN[0153] Redis does not support transaction rollbacks and should not be used in production as an actor state store.  app_id=stateful-llm component="workflowstatestore (state.redis/v1)" instance=Adams-MacBook-Air.local scope=dapr.contrib type=log ver=1.15.9
ERRO[0153] Error scheduling reminder job start-I0lXKNAZ due to: rpc error: code = Unavailable desc = connection error: desc = "transport: Error while dialing: dial tcp 172.17.0.6:50006: i/o timeout"  app_id=stateful-llm instance=Adams-MacBook-Air.local scope=dapr.runtime.actor.reminders.scheduler type=log ver=1.15.9
== APP == ERROR:dapr_agents.workflow.base:Failed to start workflow ToolCallingWorkflow: <_InactiveRpcError of RPC that terminated with:
== APP ==       status = StatusCode.UNAVAILABLE
== APP ==       details = "error from worfklow actor: rpc error: code = Unavailable desc = connection error: desc = "transport: Error while dialing: dial tcp 172.17.0.6:50006: i/o timeout""
== APP ==       debug_error_string = "UNKNOWN:Error received from peer ipv4:127.0.0.1:60027 {grpc_message:"error from worfklow actor: rpc error: code = Unavailable desc = connection error: desc = \"transport: Error while dialing: dial tcp 172.17.0.6:50006: i/o timeout\"", grpc_status:14}"
== APP == >
== APP == ERROR:dapr_agents.workflow.agentic:Error starting workflow: <_InactiveRpcError of RPC that terminated with:
== APP ==       status = StatusCode.UNAVAILABLE
== APP ==       details = "error from worfklow actor: rpc error: code = Unavailable desc = connection error: desc = "transport: Error while dialing: dial tcp 172.17.0.6:50006: i/o timeout""
== APP ==       debug_error_string = "UNKNOWN:Error received from peer ipv4:127.0.0.1:60027 {grpc_message:"error from worfklow actor: rpc error: code = Unavailable desc = connection error: desc = \"transport: Error while dialing: dial tcp 172.17.0.6:50006: i/o timeout\"", grpc_status:14}"
== APP == >
== APP == Traceback (most recent call last):
== APP ==   File "/Users/adamgardner/dapr/agents/lib/python3.11/site-packages/dapr_agents/workflow/agentic.py", line 390, in run_workflow_from_request
== APP ==     instance_id = self.run_workflow(workflow=workflow_name, input=input_data)
== APP ==                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
== APP ==   File "/Users/adamgardner/dapr/agents/lib/python3.11/site-packages/dapr_agents/workflow/base.py", line 479, in run_workflow
== APP ==     instance_id = self.wf_client.schedule_new_workflow(
== APP ==                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
== APP ==   File "/Users/adamgardner/dapr/agents/lib/python3.11/site-packages/dapr/ext/workflow/dapr_workflow_client.py", line 104, in schedule_new_workflow
== APP ==     return self.__obj.schedule_new_orchestration(
== APP ==            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
== APP ==   File "/Users/adamgardner/dapr/agents/lib/python3.11/site-packages/durabletask/client.py", line 122, in schedule_new_orchestration
== APP ==     res: pb.CreateInstanceResponse = self._stub.StartInstance(req)
== APP ==                                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
== APP ==   File "/Users/adamgardner/dapr/agents/lib/python3.11/site-packages/grpc/_channel.py", line 1178, in __call__
== APP ==     return _end_unary_response_blocking(state, call, False, None)
== APP ==            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
== APP ==   File "/Users/adamgardner/dapr/agents/lib/python3.11/site-packages/grpc/_channel.py", line 1006, in _end_unary_response_blocking
== APP ==     raise _InactiveRpcError(state)  # pytype: disable=not-instantiable
== APP ==     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
== APP == grpc._channel._InactiveRpcError: <_InactiveRpcError of RPC that terminated with:
== APP ==       status = StatusCode.UNAVAILABLE
== APP ==       details = "error from worfklow actor: rpc error: code = Unavailable desc = connection error: desc = "transport: Error while dialing: dial tcp 172.17.0.6:50006: i/o timeout""
== APP ==       debug_error_string = "UNKNOWN:Error received from peer ipv4:127.0.0.1:60027 {grpc_message:"error from worfklow actor: rpc error: code = Unavailable desc = connection error: desc = \"transport: Error while dialing: dial tcp 172.17.0.6:50006: i/o timeout\"", grpc_status:14}"
== APP == >
== APP == INFO:     127.0.0.1:60111 - "POST /start-workflow HTTP/1.1" 500 Internal Server Error
ERRO[0153] error watching scheduler jobs: rpc error: code = Unavailable desc = connection error: desc = "transport: Error while dialing: dial tcp 172.17.0.6:50006: i/o timeout"failed to run scheduler cluster clients  app_id=stateful-llm instance=Adams-MacBook-Air.local scope=dapr.runtime.scheduler.loops.connector type=log ver=1.15.9

[Cyb3rWard0g]

hey @agardnerIT !

Thanks for reporting this! I think I see what’s going on.

From your logs:

dial tcp 172.17.0.6:50006: i/o timeout

On macOS with Docker Desktop, host processes can’t reach Docker bridge IPs (172.17.x.x). What’s happening here is that the Dapr sidecar is pointing the scheduler connection at the container’s internal IP (172.17.0.6:50006) instead of at a host-reachable address like 127.0.0.1:50006. That’s why your workflow/actor reminders are failing.

You might have to do a Re-init with a localhost scheduler broadcast right @yaron2 ?

dapr init --reset
dapr init --scheduler-override-broadcast-host-port 127.0.0.1:50006

That way new sidecars will connect to 127.0.0.1:50006.

[yaron2]

@agardnerIT Which version of Dapr CLI are you running? Please make sure you have the latest. Can you then try

dapr uninstall --all
dapr init

[sicoyle]

closing as this should be resolved now 🙌