Fix Julia AI agent race condition - wait for participant metadata

The agent was reading participant metadata immediately after connecting,
but the mobile user might not have joined yet or metadata wasn't synced.

Changes:
- Replace extract_beneficiary_data() with wait_for_participant_with_metadata()
- Wait up to 10 seconds for participant with deploymentId
- Log waiting status every 2 seconds for debugging
- Fallback gracefully if timeout reached

This fixes "I couldn't get that information right now" error in voice calls.

julia-agent/julia-ai/src/agent.py

@@ -306,37 +306,70 @@ def prewarm(proc: JobProcess):
     proc.userdata["vad"] = silero.VAD.load()
 
 
-def extract_beneficiary_data(ctx: JobContext) -> tuple[str | None, dict | None]:
+async def wait_for_participant_with_metadata(
+    ctx: JobContext, timeout: float = 10.0
+) -> tuple[str | None, dict | None]:
     """
-    Extract deployment_id and beneficiary_names_dict from participant metadata.
+    Wait for a remote participant with metadata to join, then extract beneficiary data.
 
     The mobile app passes this data through the LiveKit token metadata:
     {
       "deploymentId": "21",
       "beneficiaryNamesDict": {"21": "papa", "69": "David"}
     }
+
+    IMPORTANT: This function waits up to `timeout` seconds for a participant
+    with metadata to appear. This fixes the race condition where the agent
+    connects before the user's metadata is available.
     """
+    import asyncio
+
     deployment_id = None
     beneficiary_names_dict = None
 
-    # Get remote participants (the user who joined)
-    for participant in ctx.room.remote_participants.values():
-        metadata = participant.metadata
-        if metadata:
-            try:
-                data = json.loads(metadata)
-                deployment_id = data.get("deploymentId")
-                beneficiary_names_dict = data.get("beneficiaryNamesDict")
-                logger.info(
-                    f"Extracted from participant {participant.identity}: "
-                    f"deployment_id={deployment_id}, "
-                    f"beneficiary_names_dict={beneficiary_names_dict}"
-                )
-                break  # Use first participant with metadata
-            except json.JSONDecodeError:
-                logger.warning(f"Failed to parse participant metadata: {metadata}")
+    start_time = asyncio.get_event_loop().time()
+    attempt = 0
 
-    return deployment_id, beneficiary_names_dict
+    while asyncio.get_event_loop().time() - start_time < timeout:
+        attempt += 1
+
+        # Check all remote participants for metadata
+        for participant in ctx.room.remote_participants.values():
+            metadata = participant.metadata
+            if metadata:
+                try:
+                    data = json.loads(metadata)
+                    deployment_id = data.get("deploymentId")
+                    beneficiary_names_dict = data.get("beneficiaryNamesDict")
+
+                    if deployment_id:
+                        logger.info(
+                            f"[Attempt {attempt}] Extracted from participant "
+                            f"{participant.identity}: deployment_id={deployment_id}, "
+                            f"beneficiary_names_dict={beneficiary_names_dict}"
+                        )
+                        return deployment_id, beneficiary_names_dict
+                except json.JSONDecodeError:
+                    logger.warning(
+                        f"Failed to parse participant metadata: {metadata}"
+                    )
+
+        # Log waiting status every 2 seconds
+        if attempt % 4 == 0:
+            logger.info(
+                f"Waiting for participant with metadata... "
+                f"({int(asyncio.get_event_loop().time() - start_time)}s elapsed, "
+                f"participants: {len(ctx.room.remote_participants)})"
+            )
+
+        await asyncio.sleep(0.5)
+
+    # Timeout reached - log and return None
+    logger.warning(
+        f"Timeout ({timeout}s) waiting for participant metadata. "
+        f"Participants: {len(ctx.room.remote_participants)}"
+    )
+    return None, None
 
 
 async def entrypoint(ctx: JobContext):
@@ -347,8 +380,11 @@ async def entrypoint(ctx: JobContext):
 
     logger.info(f"Starting Julia AI session in room {ctx.room.name}")
 
-    # Extract beneficiary data from participant metadata
-    deployment_id, beneficiary_names_dict = extract_beneficiary_data(ctx)
+    # Wait for participant with metadata (fixes race condition)
+    # The mobile app sends deploymentId and beneficiaryNamesDict in token metadata
+    deployment_id, beneficiary_names_dict = await wait_for_participant_with_metadata(
+        ctx, timeout=10.0
+    )
 
     # Log what we're using
     effective_deployment_id = deployment_id or DEPLOYMENT_ID