feat(copilot): refactor JWT token handling and improve metadata tracking

- Move JWT token from state to configurable context for better security and request isolation
- Add user_id parameter to agent service for enhanced metadata tracking
- Update checkpoint directory name from .gns3-copilot to gns3-copilot
- Implement context-aware JWT token management using ContextVar
- Improve tool node to extract JWT token from config instead of state

gns3server/agent/gns3_copilot/agent/gns3_copilot.py

@@ -214,12 +214,10 @@ def llm_call(state: dict, config: RunnableConfig | None = None):
         llm_config=llm_config
     )
 
-    # Store jwt_token in state for Tools to use when calling GNS3 API
     return {
         "messages": [model_with_tools.invoke(full_messages)],
         "llm_calls": state.get("llm_calls", 0) + 1,
         "topology_info": topology_info,
-        "jwt_token": jwt_token,
     }
 
 
@@ -305,9 +303,18 @@ def generate_title(state: MessagesState, config: RunnableConfig | None = None) -
 
 
 # Define tool node
-def tool_node(state: dict):
+def tool_node(state: dict, config: RunnableConfig | None = None):
     """Performs the tool call"""
 
+    # Extract jwt_token from config for tools to use
+    configurable = config.get("configurable", {}) if config else {}
+    jwt_token = configurable.get("jwt_token")
+
+    # Set jwt_token for connector_factory to access
+    if jwt_token:
+        from gns3server.agent.gns3_copilot.gns3_client import set_current_jwt_token
+        set_current_jwt_token(jwt_token)
+
     result = []
     for tool_call in state["messages"][-1].tool_calls:
         tool = tools_by_name[tool_call["name"]]