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import asyncio
import logging
import uuid
from dataclasses import dataclass, field
from datetime import datetime
from pathlib import Path
from typing import Any, Optional
from agent.config import load_config
from agent.core.agent_loop import process_submission
from agent.core.session import Event, OpType, Session
from agent.core.tools import ToolRouter
# Get project root (parent of backend directory)
PROJECT_ROOT = Path(__file__).parent.parent
DEFAULT_CONFIG_PATH = str(PROJECT_ROOT / "configs" / "frontend_agent_config.json")
# These dataclasses match agent/main.py structure
@dataclass
class Operation:
"""Operation to be executed by the agent."""
op_type: OpType
data: Optional[dict[str, Any]] = None
@dataclass
class Submission:
"""Submission to the agent loop."""
id: str
operation: Operation
logger = logging.getLogger(__name__)
class EventBroadcaster:
"""Reads from the agent's event queue and fans out to SSE subscribers.
Events that arrive when no subscribers are listening are discarded.
With SSE each turn is a separate request, so there is no reconnect
scenario that would need buffered replay.
"""
def __init__(self, event_queue: asyncio.Queue):
self._source = event_queue
self._subscribers: dict[int, asyncio.Queue] = {}
self._counter = 0
def subscribe(self) -> tuple[int, asyncio.Queue]:
"""Create a new subscriber. Returns (id, queue)."""
self._counter += 1
sub_id = self._counter
q: asyncio.Queue = asyncio.Queue()
self._subscribers[sub_id] = q
return sub_id, q
def unsubscribe(self, sub_id: int) -> None:
self._subscribers.pop(sub_id, None)
async def run(self) -> None:
"""Main loop β reads from source queue and broadcasts."""
while True:
try:
event: Event = await self._source.get()
msg = {"event_type": event.event_type, "data": event.data}
for q in self._subscribers.values():
await q.put(msg)
except asyncio.CancelledError:
break
except Exception as e:
logger.error(f"EventBroadcaster error: {e}")
@dataclass
class AgentSession:
"""Wrapper for an agent session with its associated resources."""
session_id: str
session: Session
tool_router: ToolRouter
submission_queue: asyncio.Queue
user_id: str = "dev" # Owner of this session
hf_token: str | None = None # User's HF OAuth token for tool execution
task: asyncio.Task | None = None
created_at: datetime = field(default_factory=datetime.utcnow)
is_active: bool = True
is_processing: bool = False # True while a submission is being executed
broadcaster: Any = None
# True once this session has been counted against the user's daily
# Claude quota. Guards double-counting when the user re-selects an
# Anthropic model mid-session.
claude_counted: bool = False
class SessionCapacityError(Exception):
"""Raised when no more sessions can be created."""
def __init__(self, message: str, error_type: str = "global") -> None:
super().__init__(message)
self.error_type = error_type # "global" or "per_user"
# ββ Capacity limits βββββββββββββββββββββββββββββββββββββββββββββββββ
# Sized for HF Spaces 8 vCPU / 32 GB RAM.
# Each session uses ~10-20 MB (context, tools, queues, task); 200 Γ 20 MB
# = 4 GB worst case, leaving plenty of headroom for the Python runtime
# and per-request overhead.
MAX_SESSIONS: int = 200
MAX_SESSIONS_PER_USER: int = 10
class SessionManager:
"""Manages multiple concurrent agent sessions."""
def __init__(self, config_path: str | None = None) -> None:
self.config = load_config(config_path or DEFAULT_CONFIG_PATH)
self.sessions: dict[str, AgentSession] = {}
self._lock = asyncio.Lock()
def _count_user_sessions(self, user_id: str) -> int:
"""Count active sessions owned by a specific user."""
return sum(
1
for s in self.sessions.values()
if s.user_id == user_id and s.is_active
)
async def create_session(
self,
user_id: str = "dev",
hf_token: str | None = None,
model: str | None = None,
) -> str:
"""Create a new agent session and return its ID.
Session() and ToolRouter() constructors contain blocking I/O
(e.g. HfApi().whoami(), litellm.get_max_tokens()) so they are
executed in a thread pool to avoid freezing the async event loop.
Args:
user_id: The ID of the user who owns this session.
hf_token: The user's HF OAuth token, stored for tool execution.
model: Optional model override. When set, replaces ``model_name``
on the per-session config clone. None falls back to the
config default.
Raises:
SessionCapacityError: If the server or user has reached the
maximum number of concurrent sessions.
"""
# ββ Capacity checks ββββββββββββββββββββββββββββββββββββββββββ
async with self._lock:
active_count = self.active_session_count
if active_count >= MAX_SESSIONS:
raise SessionCapacityError(
f"Server is at capacity ({active_count}/{MAX_SESSIONS} sessions). "
"Please try again later.",
error_type="global",
)
if user_id != "dev":
user_count = self._count_user_sessions(user_id)
if user_count >= MAX_SESSIONS_PER_USER:
raise SessionCapacityError(
f"You have reached the maximum of {MAX_SESSIONS_PER_USER} "
"concurrent sessions. Please close an existing session first.",
error_type="per_user",
)
session_id = str(uuid.uuid4())
# Create queues for this session
submission_queue: asyncio.Queue = asyncio.Queue()
event_queue: asyncio.Queue = asyncio.Queue()
# Run blocking constructors in a thread to keep the event loop responsive.
# Without this, Session.__init__ β ContextManager β litellm.get_max_tokens()
# blocks all HTTP/SSE handling.
import time as _time
def _create_session_sync():
t0 = _time.monotonic()
tool_router = ToolRouter(self.config.mcpServers, hf_token=hf_token)
# Deep-copy config so each session's model switches independently β
# tab A picking GLM doesn't flip tab B off Claude.
session_config = self.config.model_copy(deep=True)
if model:
session_config.model_name = model
session = Session(
event_queue, config=session_config, tool_router=tool_router,
hf_token=hf_token,
)
t1 = _time.monotonic()
logger.info(f"Session initialized in {t1 - t0:.2f}s")
return tool_router, session
tool_router, session = await asyncio.to_thread(_create_session_sync)
# Create wrapper
agent_session = AgentSession(
session_id=session_id,
session=session,
tool_router=tool_router,
submission_queue=submission_queue,
user_id=user_id,
hf_token=hf_token,
)
async with self._lock:
self.sessions[session_id] = agent_session
# Start the agent loop task
task = asyncio.create_task(
self._run_session(session_id, submission_queue, event_queue, tool_router)
)
agent_session.task = task
logger.info(f"Created session {session_id} for user {user_id}")
return session_id
async def seed_from_summary(self, session_id: str, messages: list[dict]) -> int:
"""Rehydrate a session from cached prior messages via summarization.
Runs the standard summarization prompt (same one compaction uses)
over the provided messages, then seeds the new session's context
with that summary. Tool-call pairing concerns disappear because the
output is plain text. Returns the number of messages summarized.
"""
from litellm import Message
from agent.context_manager.manager import _RESTORE_PROMPT, summarize_messages
agent_session = self.sessions.get(session_id)
if not agent_session:
raise ValueError(f"Session {session_id} not found")
# Parse into Message objects, tolerating malformed entries.
parsed: list[Message] = []
for raw in messages:
if raw.get("role") == "system":
continue # the new session has its own system prompt
try:
parsed.append(Message.model_validate(raw))
except Exception as e:
logger.warning("Dropping malformed message during seed: %s", e)
if not parsed:
return 0
session = agent_session.session
# Pass the real tool specs so the summarizer sees what the agent
# actually has β otherwise Anthropic's modify_params injects a
# dummy tool and the summarizer editorializes that the original
# tool calls were fabricated.
tool_specs = None
try:
tool_specs = agent_session.tool_router.get_tool_specs_for_llm()
except Exception:
pass
try:
summary, _ = await summarize_messages(
parsed,
model_name=session.config.model_name,
hf_token=session.hf_token,
max_tokens=4000,
prompt=_RESTORE_PROMPT,
tool_specs=tool_specs,
)
except Exception as e:
logger.error("Summary call failed during seed: %s", e)
raise
seed = Message(
role="user",
content=(
"[SYSTEM: Your prior memory of this conversation β written "
"in your own voice right before restart. Continue from here.]\n\n"
+ (summary or "(no summary returned)")
),
)
session.context_manager.items.append(seed)
return len(parsed)
@staticmethod
async def _cleanup_sandbox(session: Session) -> None:
"""Delete the sandbox Space if one was created for this session."""
sandbox = getattr(session, "sandbox", None)
if sandbox and getattr(sandbox, "_owns_space", False):
space_id = getattr(sandbox, "space_id", None)
try:
logger.info(f"Deleting sandbox {space_id}...")
await asyncio.to_thread(sandbox.delete)
from agent.core import telemetry
await telemetry.record_sandbox_destroy(session, sandbox)
except Exception as e:
logger.warning(f"Failed to delete sandbox {space_id}: {e}")
async def _run_session(
self,
session_id: str,
submission_queue: asyncio.Queue,
event_queue: asyncio.Queue,
tool_router: ToolRouter,
) -> None:
"""Run the agent loop for a session and broadcast events via EventBroadcaster."""
agent_session = self.sessions.get(session_id)
if not agent_session:
logger.error(f"Session {session_id} not found")
return
session = agent_session.session
# Start event broadcaster task
broadcaster = EventBroadcaster(event_queue)
agent_session.broadcaster = broadcaster
broadcast_task = asyncio.create_task(broadcaster.run())
try:
async with tool_router:
# Send ready event
await session.send_event(
Event(event_type="ready", data={"message": "Agent initialized"})
)
while session.is_running:
try:
# Wait for submission with timeout to allow checking is_running
submission = await asyncio.wait_for(
submission_queue.get(), timeout=1.0
)
agent_session.is_processing = True
try:
should_continue = await process_submission(session, submission)
finally:
agent_session.is_processing = False
if not should_continue:
break
except asyncio.TimeoutError:
continue
except asyncio.CancelledError:
logger.info(f"Session {session_id} cancelled")
break
except Exception as e:
logger.error(f"Error in session {session_id}: {e}")
await session.send_event(
Event(event_type="error", data={"error": str(e)})
)
finally:
broadcast_task.cancel()
try:
await broadcast_task
except asyncio.CancelledError:
pass
await self._cleanup_sandbox(session)
# Final-flush: always save on session death so we capture ended
# sessions even if the client disconnects without /shutdown.
# Idempotent via session_id key; detached subprocess.
if session.config.save_sessions:
try:
session.save_and_upload_detached(session.config.session_dataset_repo)
except Exception as e:
logger.warning(f"Final-flush failed for {session_id}: {e}")
async with self._lock:
if session_id in self.sessions:
self.sessions[session_id].is_active = False
logger.info(f"Session {session_id} ended")
async def submit(self, session_id: str, operation: Operation) -> bool:
"""Submit an operation to a session."""
async with self._lock:
agent_session = self.sessions.get(session_id)
if not agent_session or not agent_session.is_active:
logger.warning(f"Session {session_id} not found or inactive")
return False
submission = Submission(id=f"sub_{uuid.uuid4().hex[:8]}", operation=operation)
await agent_session.submission_queue.put(submission)
return True
async def submit_user_input(self, session_id: str, text: str) -> bool:
"""Submit user input to a session."""
operation = Operation(op_type=OpType.USER_INPUT, data={"text": text})
return await self.submit(session_id, operation)
async def submit_approval(
self, session_id: str, approvals: list[dict[str, Any]]
) -> bool:
"""Submit tool approvals to a session."""
operation = Operation(
op_type=OpType.EXEC_APPROVAL, data={"approvals": approvals}
)
return await self.submit(session_id, operation)
async def interrupt(self, session_id: str) -> bool:
"""Interrupt a session by signalling cancellation directly (bypasses queue)."""
agent_session = self.sessions.get(session_id)
if not agent_session or not agent_session.is_active:
return False
agent_session.session.cancel()
return True
async def undo(self, session_id: str) -> bool:
"""Undo last turn in a session."""
operation = Operation(op_type=OpType.UNDO)
return await self.submit(session_id, operation)
async def truncate(self, session_id: str, user_message_index: int) -> bool:
"""Truncate conversation to before a specific user message (direct, no queue)."""
async with self._lock:
agent_session = self.sessions.get(session_id)
if not agent_session or not agent_session.is_active:
return False
return agent_session.session.context_manager.truncate_to_user_message(user_message_index)
async def compact(self, session_id: str) -> bool:
"""Compact context in a session."""
operation = Operation(op_type=OpType.COMPACT)
return await self.submit(session_id, operation)
async def shutdown_session(self, session_id: str) -> bool:
"""Shutdown a specific session."""
operation = Operation(op_type=OpType.SHUTDOWN)
success = await self.submit(session_id, operation)
if success:
async with self._lock:
agent_session = self.sessions.get(session_id)
if agent_session and agent_session.task:
# Wait for task to complete
try:
await asyncio.wait_for(agent_session.task, timeout=5.0)
except asyncio.TimeoutError:
agent_session.task.cancel()
return success
async def delete_session(self, session_id: str) -> bool:
"""Delete a session entirely."""
async with self._lock:
agent_session = self.sessions.pop(session_id, None)
if not agent_session:
return False
# Clean up sandbox Space before cancelling the task
await self._cleanup_sandbox(agent_session.session)
# Cancel the task if running
if agent_session.task and not agent_session.task.done():
agent_session.task.cancel()
try:
await agent_session.task
except asyncio.CancelledError:
pass
return True
def get_session_owner(self, session_id: str) -> str | None:
"""Get the user_id that owns a session, or None if session doesn't exist."""
agent_session = self.sessions.get(session_id)
if not agent_session:
return None
return agent_session.user_id
def verify_session_access(self, session_id: str, user_id: str) -> bool:
"""Check if a user has access to a session.
Returns True if:
- The session exists AND the user owns it
- The user_id is "dev" (dev mode bypass)
"""
owner = self.get_session_owner(session_id)
if owner is None:
return False
if user_id == "dev" or owner == "dev":
return True
return owner == user_id
def get_session_info(self, session_id: str) -> dict[str, Any] | None:
"""Get information about a session."""
agent_session = self.sessions.get(session_id)
if not agent_session:
return None
# Extract pending approval tools if any
pending_approval = None
pa = agent_session.session.pending_approval
if pa and pa.get("tool_calls"):
pending_approval = []
for tc in pa["tool_calls"]:
import json
try:
args = json.loads(tc.function.arguments)
except (json.JSONDecodeError, AttributeError):
args = {}
pending_approval.append({
"tool": tc.function.name,
"tool_call_id": tc.id,
"arguments": args,
})
return {
"session_id": session_id,
"created_at": agent_session.created_at.isoformat(),
"is_active": agent_session.is_active,
"is_processing": agent_session.is_processing,
"message_count": len(agent_session.session.context_manager.items),
"user_id": agent_session.user_id,
"pending_approval": pending_approval,
"model": agent_session.session.config.model_name,
}
def list_sessions(self, user_id: str | None = None) -> list[dict[str, Any]]:
"""List sessions, optionally filtered by user.
Args:
user_id: If provided, only return sessions owned by this user.
If "dev", return all sessions (dev mode).
"""
results = []
for sid in self.sessions:
info = self.get_session_info(sid)
if not info:
continue
if user_id and user_id != "dev" and info.get("user_id") != user_id:
continue
results.append(info)
return results
@property
def active_session_count(self) -> int:
"""Get count of active sessions."""
return sum(1 for s in self.sessions.values() if s.is_active)
# Global session manager instance
session_manager = SessionManager()
|