fix(agent): seed trace_id for agent process lifecycle

Agent logs had trace_id='no-trace' because the Gradio process
never called seed_trace_id(). The CotJsonFormatter reads trace_id
from ContextVar — without seeding, it defaults to empty string
displayed as 'no-trace'.

Fix:
- app.py: seed_trace_id() on every agent_handler invocation
- run.py: seed_trace_id() on agent startup (for LLM config fetch)

Each Gradio submit gets a fresh trace_id, making agent logs
correlatable with downstream FastAPI calls.

backend/src/agent/app.py

@@ -49,6 +49,7 @@ from src.agent.langgraph_setup import create_agent
 from src.agent.middleware import log_tool_event
 from src.agent.tools import get_tools_for_query
 from src.core.auth.jwt import decode_token
+from src.core.cot_logger import seed_trace_id
 from src.core.logger import logger
 
 JWT_SECRET = os.getenv("JWT_SECRET", "super-secret-key")
@@ -162,6 +163,7 @@ async def agent_handler(  # noqa: C901 — intentionally complex C4 orchestratio
     try:
         # ── Resolve conversation ID early (needed for file persistence) ──
         conv_id = conversation_id or str(uuid.uuid4())
+        _trace_id = seed_trace_id()
         is_resume = action in ("confirm", "deny")
         logger.reason(
             "Agent handler invoked",
@@ -237,11 +239,12 @@ async def agent_handler(  # noqa: C901 — intentionally complex C4 orchestratio
                             "metadata": {"type": "error", "code": "STREAM_CLEANUP_TIMEOUT"},
                         })
                         return
+            # Capture tool_name BEFORE handle_resume pops the pending confirmation
+            pending_pre = _pending_confirmations.get(conv_id, {}) if conv_id else {}
+            tool_name = pending_pre.get("tool_name", "") if pending_pre else ""
             async for chunk in handle_resume(conv_id, action, user_jwt_str, env_id):
                 yield chunk
-            # Build descriptive title from pending confirmation info
-            pending = _pending_confirmations.get(conv_id, {}) if conv_id else {}
-            tool_name = pending.get("tool_name", "") if pending else ""
+            # Build descriptive title from captured tool_name
             title = f"{'✅' if action == 'confirm' else '⏹️'} {tool_name or 'Операция'}" if tool_name else f"HITL: {action}"
             await save_conversation(conv_id or str(uuid.uuid4()), title, user_id)
             return

backend/src/agent/run.py

@@ -12,6 +12,7 @@ import os
 import socket
 import httpx
 
+from src.core.cot_logger import seed_trace_id
 from src.core.logger import logger
 
 FASTAPI_URL = os.getenv("FASTAPI_URL", "http://localhost:8000")
@@ -85,6 +86,8 @@ if __name__ == "__main__":
     from src.agent.context import set_service_jwt
     from src.agent.langgraph_setup import configure_from_api, init_checkpointer
 
+    seed_trace_id()  # Seed trace for agent startup lifecycle
+
     # Propagate SERVICE_JWT to ContextVar for tool calls
     service_token = os.getenv("SERVICE_JWT", "")
     if service_token: