feat(trace):Add run_name to the trace info for system agents. (#2492)

* feat(trace): Add `run_name` to the trace info for suggestions and memory.

before(in langsmith):
CodexChatModel
CodexChatModel
lead_agent
after:
suggest_agent
memory_agent
lead_agent

feat(trace): Add `run_name` to the trace info for suggestions and memory.

before(in langsmith):
CodexChatModel
CodexChatModel
lead_agent
after:
suggest_agent
memory_agent
lead_agent

* feat(trace): Add `run_name` to the trace info for system agents.

before(in langsmith):
CodexChatModel
CodexChatModel
CodexChatModel
CodexChatModel
lead_agent
after:
suggest_agent
title_agent
security_agent
memory_agent
lead_agent

* chore(code format):code format

---------

Co-authored-by: Willem Jiang <willem.jiang@gmail.com>

backend/packages/harness/deerflow/agents/memory/updater.py

@@ -409,7 +409,7 @@ class MemoryUpdater:
 
             current_memory, prompt = prepared
             model = self._get_model()
-            response = await model.ainvoke(prompt)
+            response = await model.ainvoke(prompt, config={"run_name": "memory_agent"})
             return await asyncio.to_thread(
                 self._finalize_update,
                 current_memory=current_memory,

backend/packages/harness/deerflow/agents/middlewares/title_middleware.py

@@ -127,7 +127,7 @@ class TitleMiddleware(AgentMiddleware[TitleMiddlewareState]):
                 model = create_chat_model(name=config.model_name, thinking_enabled=False)
             else:
                 model = create_chat_model(thinking_enabled=False)
-            response = await model.ainvoke(prompt)
+            response = await model.ainvoke(prompt, config={"run_name": "title_agent"})
             title = self._parse_title(response.content)
             if title:
                 return {"title": title}

backend/packages/harness/deerflow/skills/security_scanner.py

@@ -54,7 +54,8 @@ async def scan_skill_content(content: str, *, executable: bool = False, location
             [
                 {"role": "system", "content": rubric},
                 {"role": "user", "content": prompt},
-            ]
+            ],
+            config={"run_name": "security_agent"},
         )
         parsed = _extract_json_object(str(getattr(response, "content", "") or ""))
         if parsed and parsed.get("decision") in {"allow", "warn", "block"}: