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/graphrag/extraction.py

@@ -23,6 +23,7 @@ import logging
 import re
 from typing import Any, Callable, Dict, List, Optional
 
+from docsgpt import tracing
 from docsgpt.core.model_utils import (
     get_api_key_for_provider,
     get_provider_from_model_id,
@@ -353,7 +354,9 @@ def extract_graph_for_source(
         if pool is not None:
             # ``map`` yields in submission order, so chunks are still applied in
             # the order they were given and a run stays reproducible.
-            prepared = pool.map(_prepare, items)
+            # Pool threads don't inherit context; carry the trace in so each
+            # chunk's extraction LLM call is recorded.
+            prepared = pool.map(tracing.wrap(_prepare), items)
         else:
             prepared = (_prepare(item) for item in items)
         missed = []