Feat/dashboard clean monitor upload 1334918525438687015 (#38)

* feat: Clean up dashboard UI, shift workflow WS to SSE, and add file upload support

- Removed Monitoring view and associated `/ws/state` cluster websocket route.
- Modified workflow tracing from WebSocket (`/api/v1/workflow/ws/{trace_id}`) to Server-Sent Events (`/api/v1/workflow/sse/{trace_id}`) for unidirectional pushes, introducing a new `/api/v1/workflow/reply/{trace_id}` POST route to handle incoming client replies.
- Cleaned up dummy data and unneeded links in the chat layout (LeftPanel, ChatPanel).
- Implemented file upload functionality: added a `/api/v1/adapter/client/upload` endpoint to the backend which saves files to a local `uploads` directory, and added an integrated file input triggered via the `+` button in the frontend chat interface to facilitate uploading with an automated chat message confirmation.

Co-authored-by: zhaoxi826 <198742034+zhaoxi826@users.noreply.github.com>

* fix: prevent global_state_machine actor from being garbage collected

Added `lifetime="detached"` and kept a local reference to the `GlobalStateMachine`
actor in `main.py` so that it doesn't get cleaned up by Ray due to going out
of scope, which was causing `ray.get_actor('global_state_machine')` calls to fail
in API route handlers (resulting in 500 errors).

Co-authored-by: zhaoxi826 <198742034+zhaoxi826@users.noreply.github.com>

* fix: resolve named actor addressing failure across Ray processes via explicit namespace

The `ray.get_actor` calls in API routes executing within a Ray Serve worker were failing to
resolve the actors created by the main process because the implicit random namespace of
`ray.init()` did not match the namespace of the Ray Serve application scope.

Instead of overriding garbage collection via `lifetime="detached"` (which can lead to actor
leakage), this assigns an explicit `namespace="pretor"` when initializing Ray in the main process,
and uses the identical namespace in `ray_hook.py` when looking up named actors. Also retains the
local variable assignments in `main.py` to prevent them from being eliminated as unused variables.

Co-authored-by: zhaoxi826 <198742034+zhaoxi826@users.noreply.github.com>

---------

Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
Co-authored-by: zhaoxi826 <198742034+zhaoxi826@users.noreply.github.com>

main.py

@@ -25,6 +25,7 @@ async def start_system():
     }
 
     ray.init(ignore_reinit_error=True,
+             namespace="pretor",
              dashboard_host="0.0.0.0",
              dashboard_port=8265,
              runtime_env={"env_vars": env_vars})

pretor/utils/ray_hook.py

@@ -35,7 +35,7 @@ class ActorList:
 @lru_cache(maxsize=128)
 def _get_cached_actor_handle(actor_name: str):
     """缓存接口"""
-    return ray.get_actor(actor_name)
+    return ray.get_actor(actor_name, namespace="pretor")
 
 def clear_actor_cache():
     """清理接口"""