Hi Tony, Thanks for the quick response! I updated to Phoenix v12.6.1, but I'm still encountering the same error in the Sessions UI
Error fetching GraphQL query 'sessionLoaderQuery' with variables '{"id":"0"}':
[{"message":"an unexpected error occurred","locations":[{"line":4,"column":3}],"path":["session"]}]current versions:
- arize-phoenix: 12.6.1
- arize-phoenix-client: 1.21.0
- arize-phoenix-otel: 0.13.0
- openinference-instrumentation: 0.1.40
- openinference-instrumentation-autogen-agentchat: 0.1.5
- openinference-instrumentation-openai: 0.1.39
- openinference-semantic-conventions: 0.1.23and my implementation follows the pattern:
tracer = trace.get_tracer(__name__)
with tracer.start_as_current_span(
"query_request",
attributes={
SpanAttributes.OPENINFERENCE_SPAN_KIND: OpenInferenceSpanKindValues.CHAIN.value,
SpanAttributes.SESSION_ID: session_id,
SpanAttributes.INPUT_VALUE: message,
}
) as root_span:
with using_session(session_id):
# Child spans here
root_span.set_status(Status(StatusCode.OK))
```
The traces appear correctly in Phoenix, and I can see the session.id attribute, but the Sessions page shows the GraphQL error. Could you provide a minimal sample script to help me verify if the issue is with my code or still on the Cloud, 
😀
Hi team, I got this message when I clicked on a session track.👀
Hi team, I'm working on setting up Arize Phoenix monitoring for our autogen-based agent service that uses websocket connections, and running into some issues with the cloud configuration - cannot see my project in the phoenix cloud dashboard.
current configuration
# This works (Local)
# Option 1: Local Phoenix
os.environ["PHOENIX_COLLECTOR_ENDPOINT"] = "http://127.0.0.1:6006"
tracer_provider = register(
project_name="thinkspace-agent-monitoring",
endpoint="http://127.0.0.1:6006/v1/traces",
auto_instrument=True
)
this doesnt work (cloud)
# Option 2: Cloud Phoenix
# if not os.getenv("PHOENIX_API_KEY"):
# raise RuntimeError("PHOENIX_API_KEY not set in environment or .env file")
# tracer_provider = register(
# project_name="thinkspace-agent-monitoring",
# endpoint="https://app.phoenix.arize.com/s/an-qi-yu/v1/traces",
# auto_instrument=True
# )
our websocket notification flow
@app.include_router(ws_chat_notification_router) # WebSocket endpoint
@app.include_router(query_router) # HTTP query endpoint
# E2E test shows local monitoring works great:
with using_session(session_id):
with tracer.start_as_current_span("e2e_test_full_flow"):
# HTTP request triggers agent
# Agent sends WebSocket notifications
# Want to see full trace in Phoenix Cloud
would appreciate any insights