Trace scheduled, webhook, search, MCP and graph-extraction runs

run_agent_headless records each unattended run under its endpoint; the
scheduler passes its run id and the webhook worker its task id so Logs rows
can find their trace, while the LLM's own request id stays untouched for
quota counts. /api/search and MCP search_docs record their retrieval, and a
graph build records every extraction call under one step.

docsgpt/worker.py

@@ -16,6 +16,7 @@ from urllib.parse import urljoin, urlsplit
 
 import requests
 
+from docsgpt import tracing
 from docsgpt.core.settings import settings
 from docsgpt.events.publisher import publish_user_event
 from docsgpt.parser.chunking_creator import ChunkerCreator
@@ -2129,6 +2130,7 @@ def agent_webhook_worker(self, agent_id, payload):
             input_data,
             tool_allowlist=_webhook_tool_allowlist(agent_config),
             endpoint="webhook",
+            request_id=getattr(getattr(self, "request", None), "id", None),
         )
         result = {
             "answer": outcome.get("answer", ""),
@@ -2942,16 +2944,36 @@ def extract_graph_worker(self, source_id, user):
         },
     )
 
+    trace = tracing.start_trace(
+        source="graph_extraction",
+        name=f"graph_extraction {source.get('name') or source_id}",
+        request_id=getattr(self.request, "id", None),
+        user_id=user,
+    )
     try:
-        summary = extract_graph_for_source(
-            source_id,
-            user,
-            chunks,
-            config=cfg,
-            request_id=getattr(self.request, "id", None),
-            progress_cb=_progress,
-        )
+        with tracing.activate(trace), tracing.span(
+            tracing.KIND_STEP,
+            "graph_extraction",
+            attributes={"docsgpt.source_id": source_id, "docsgpt.chunk_count": total},
+        ) as span:
+            summary = extract_graph_for_source(
+                source_id,
+                user,
+                chunks,
+                config=cfg,
+                request_id=getattr(self.request, "id", None),
+                progress_cb=_progress,
+            )
+            if isinstance(summary, dict):
+                span.set(
+                    **{
+                        "docsgpt.graph.nodes": summary.get("nodes"),
+                        "docsgpt.graph.edges": summary.get("edges"),
+                        "docsgpt.graph.chunks_processed": summary.get("chunks_processed"),
+                    }
+                )
     except Exception as e:
+        tracing.flush(trace, tracing.STATUS_ERROR)
         _publish_graph_event(
             user,
             source_id,
@@ -2960,6 +2982,7 @@ def extract_graph_worker(self, source_id, user):
         )
         raise
 
+    tracing.flush(trace)
     _publish_graph_event(
         user,
         source_id,