fix(sandbox): persist lazily-acquired sandbox state via Command (#3464)

* fix(sandbox): persist lazily-acquired sandbox state via Command

ensure_sandbox_initialized mutates runtime.state in place, which is local
to the current tool invocation and is not picked up by LangGraph's channel
reducer. Subsequent graph steps and downstream consumers (such as
ToolOutputBudgetMiddleware and the sub-agent task_tool) therefore cannot
observe the sandbox id from state.

Wrap tool calls in SandboxMiddleware (wrap_tool_call / awrap_tool_call) to
detect fresh lazy initialization by diffing runtime.state before and after
the handler, and emit a proper state update via Command(update=...):

- ToolMessage results are wrapped into Command(update={sandbox, messages})
- Command results with a dict update are merged on the sandbox key while
  preserving messages / goto / graph / resume
- Command results with non-dict updates are left untouched to avoid silent
  data loss on unknown update shapes

Tests:
- 7 new unit tests cover lazy-init emit, passthrough, dict-update merge,
  non-dict-update passthrough (sync and async)
- Refresh replay golden write_read_file.ultra.events.json: SSE 'values'
  events now correctly carry the 'sandbox' key in their keys list, which
  is the direct evidence that the fix is effective

Closes #3463

* refactor(sandbox): use dataclasses.replace to preserve Command fields

Address Copilot review on #3464: replace manual field-copy with
dataclasses.replace so any current or future Command fields are
preserved automatically when merging sandbox_update.

Also add a regression test that constructs a Command with non-None
graph/goto/resume to lock this behavior in.
This commit is contained in:
Huixin615
2026-06-11 17:50:36 +08:00
committed by GitHub
parent 2d5f0787de
commit 919d8bc279
3 changed files with 278 additions and 0 deletions
@@ -1,10 +1,15 @@
import asyncio
import logging
from collections.abc import Awaitable, Callable
from dataclasses import replace as dc_replace
from typing import NotRequired, override
from langchain.agents import AgentState
from langchain.agents.middleware import AgentMiddleware
from langchain_core.messages import ToolMessage
from langgraph.prebuilt.tool_node import ToolCallRequest
from langgraph.runtime import Runtime
from langgraph.types import Command
from deerflow.agents.thread_state import SandboxState, ThreadDataState
from deerflow.sandbox import get_sandbox_provider
@@ -126,3 +131,87 @@ class SandboxMiddleware(AgentMiddleware[SandboxMiddlewareState]):
# No sandbox to release
return await super().aafter_agent(state, runtime)
# ------------------------------------------------------------------
# Tool-call wrappers: persist lazily-acquired sandbox state into the
# graph state via Command(update=...).
#
# Background:
# ``ensure_sandbox_initialized*`` in ``deerflow.sandbox.tools`` mutates
# ``runtime.state["sandbox"]`` directly. That mutation is local to the
# current tool invocation and is NOT picked up by LangGraph's channel
# reducer, so subsequent graph steps (and downstream consumers such as
# ``ToolOutputBudgetMiddleware`` and the sub-agent ``task_tool``)
# cannot observe the sandbox id. Wrapping the tool call lets us detect
# a fresh lazy init by diffing the state snapshot before/after the
# handler and emit a proper state update via ``Command``.
# ------------------------------------------------------------------
@staticmethod
def _read_sandbox_id_from_state(state: object) -> str | None:
if not isinstance(state, dict):
return None
sandbox_state = state.get("sandbox")
if not isinstance(sandbox_state, dict):
return None
sandbox_id = sandbox_state.get("sandbox_id")
return sandbox_id if isinstance(sandbox_id, str) else None
@staticmethod
def _attach_sandbox_update(result: ToolMessage | Command, sandbox_id: str) -> ToolMessage | Command:
"""Wrap or merge ``result`` so that ``sandbox.sandbox_id`` is persisted.
- ``ToolMessage`` -> ``Command(update={"sandbox": ..., "messages": [msg]})``
- ``Command`` with dict update -> merge ``sandbox`` key, preserve all
existing fields (``messages``, ``goto``, ``graph``, ``resume``, ...).
- ``Command`` with non-dict / None update -> leave it untouched to
avoid silent data loss on unknown update shapes.
"""
sandbox_update = {"sandbox": {"sandbox_id": sandbox_id}}
if isinstance(result, ToolMessage):
return Command(update={**sandbox_update, "messages": [result]})
existing_update = result.update
if isinstance(existing_update, dict):
merged_update = {**existing_update, **sandbox_update}
return dc_replace(result, update=merged_update)
return result
@staticmethod
def _read_sandbox_id_from_request(request: ToolCallRequest) -> str | None:
"""Read sandbox_id from runtime.state (where ensure_sandbox_initialized writes)."""
runtime = request.runtime
if runtime is None or runtime.state is None:
return None
return SandboxMiddleware._read_sandbox_id_from_state(runtime.state)
@override
def wrap_tool_call(
self,
request: ToolCallRequest,
handler: Callable[[ToolCallRequest], ToolMessage | Command],
) -> ToolMessage | Command:
prev_sandbox_id = self._read_sandbox_id_from_request(request)
result = handler(request)
if prev_sandbox_id is not None:
return result
curr_sandbox_id = self._read_sandbox_id_from_request(request)
if curr_sandbox_id is None:
return result
return self._attach_sandbox_update(result, curr_sandbox_id)
@override
async def awrap_tool_call(
self,
request: ToolCallRequest,
handler: Callable[[ToolCallRequest], Awaitable[ToolMessage | Command]],
) -> ToolMessage | Command:
prev_sandbox_id = self._read_sandbox_id_from_request(request)
result = await handler(request)
if prev_sandbox_id is not None:
return result
curr_sandbox_id = self._read_sandbox_id_from_request(request)
if curr_sandbox_id is None:
return result
return self._attach_sandbox_update(result, curr_sandbox_id)
@@ -69,6 +69,7 @@
"keys": [
"artifacts",
"messages",
"sandbox",
"thread_data",
"title",
"viewed_images"
@@ -79,6 +80,7 @@
"keys": [
"artifacts",
"messages",
"sandbox",
"thread_data",
"title",
"viewed_images"
@@ -89,6 +91,7 @@
"keys": [
"artifacts",
"messages",
"sandbox",
"thread_data",
"title",
"viewed_images"
@@ -99,6 +102,7 @@
"keys": [
"artifacts",
"messages",
"sandbox",
"thread_data",
"title",
"viewed_images"
@@ -109,6 +113,7 @@
"keys": [
"artifacts",
"messages",
"sandbox",
"thread_data",
"title",
"viewed_images"
@@ -119,6 +124,7 @@
"keys": [
"artifacts",
"messages",
"sandbox",
"thread_data",
"title",
"viewed_images"
+183
View File
@@ -5,7 +5,10 @@ import asyncio
import pytest
from langchain.agents.middleware import AgentMiddleware
from langchain.tools import ToolRuntime
from langchain_core.messages import ToolMessage
from langgraph.prebuilt.tool_node import ToolCallRequest
from langgraph.runtime import Runtime
from langgraph.types import Command
from deerflow.sandbox.middleware import SandboxMiddleware
from deerflow.sandbox.sandbox import Sandbox
@@ -223,3 +226,183 @@ async def test_aafter_agent_delegates_to_super_when_no_sandbox(monkeypatch: pyte
assert result == {"delegated": True}
assert calls == [(state, runtime)]
# ---------------------------------------------------------------------------
# wrap_tool_call / awrap_tool_call: persistent sandbox state via Command
# ---------------------------------------------------------------------------
def _make_tool_call_request(state: dict) -> ToolCallRequest:
"""Build a minimal ToolCallRequest backed by a real ToolRuntime."""
runtime = ToolRuntime(
state=state,
context={},
config={"configurable": {}},
stream_writer=lambda _: None,
tools=[],
tool_call_id="call-1",
store=None,
)
return ToolCallRequest(
tool_call={"id": "call-1", "name": "bash", "args": {}},
tool=None,
state=state,
runtime=runtime,
)
def test_wrap_tool_call_emits_command_when_lazy_init_happens() -> None:
middleware = SandboxMiddleware()
state: dict = {}
request = _make_tool_call_request(state)
def handler(req: ToolCallRequest) -> ToolMessage:
# Simulate ensure_sandbox_initialized() mutating runtime.state in-place.
req.runtime.state["sandbox"] = {"sandbox_id": "new-sandbox"}
return ToolMessage(content="ok", tool_call_id="call-1", name="bash")
result = middleware.wrap_tool_call(request, handler)
assert isinstance(result, Command)
assert isinstance(result.update, dict)
assert result.update["sandbox"] == {"sandbox_id": "new-sandbox"}
messages = result.update["messages"]
assert len(messages) == 1
assert messages[0].content == "ok"
assert messages[0].tool_call_id == "call-1"
def test_wrap_tool_call_passthrough_when_sandbox_already_in_state() -> None:
middleware = SandboxMiddleware()
state: dict = {"sandbox": {"sandbox_id": "existing"}}
request = _make_tool_call_request(state)
original = ToolMessage(content="ok", tool_call_id="call-1", name="bash")
def handler(req: ToolCallRequest) -> ToolMessage:
return original
result = middleware.wrap_tool_call(request, handler)
assert result is original
def test_wrap_tool_call_passthrough_when_handler_did_not_initialize_sandbox() -> None:
middleware = SandboxMiddleware()
state: dict = {}
request = _make_tool_call_request(state)
original = ToolMessage(content="ok", tool_call_id="call-1", name="bash")
def handler(req: ToolCallRequest) -> ToolMessage:
return original
result = middleware.wrap_tool_call(request, handler)
assert result is original
def test_wrap_tool_call_merges_with_existing_command_update() -> None:
middleware = SandboxMiddleware()
state: dict = {}
request = _make_tool_call_request(state)
tool_msg = ToolMessage(content="ok", tool_call_id="call-1", name="bash")
def handler(req: ToolCallRequest) -> Command:
req.runtime.state["sandbox"] = {"sandbox_id": "new-sandbox"}
return Command(
update={
"messages": [tool_msg],
"viewed_images": {"a.png": {"base64": "x", "mime_type": "image/png"}},
},
goto="next-node",
)
result = middleware.wrap_tool_call(request, handler)
assert isinstance(result, Command)
assert result.goto == "next-node"
assert isinstance(result.update, dict)
assert result.update["messages"] == [tool_msg]
assert result.update["viewed_images"] == {"a.png": {"base64": "x", "mime_type": "image/png"}}
assert result.update["sandbox"] == {"sandbox_id": "new-sandbox"}
def test_wrap_tool_call_does_not_override_non_dict_update() -> None:
middleware = SandboxMiddleware()
state: dict = {}
request = _make_tool_call_request(state)
cmd = Command(update=[("messages", [ToolMessage(content="x", tool_call_id="c", name="bash")])])
def handler(req: ToolCallRequest) -> Command:
req.runtime.state["sandbox"] = {"sandbox_id": "new-sandbox"}
return cmd
result = middleware.wrap_tool_call(request, handler)
# Non-dict update is left untouched to avoid silent data loss.
assert result is cmd
@pytest.mark.anyio
async def test_awrap_tool_call_emits_command_when_lazy_init_happens() -> None:
middleware = SandboxMiddleware()
state: dict = {}
request = _make_tool_call_request(state)
async def handler(req: ToolCallRequest) -> ToolMessage:
req.runtime.state["sandbox"] = {"sandbox_id": "async-new"}
return ToolMessage(content="ok", tool_call_id="call-1", name="bash")
result = await middleware.awrap_tool_call(request, handler)
assert isinstance(result, Command)
assert isinstance(result.update, dict)
assert result.update["sandbox"] == {"sandbox_id": "async-new"}
messages = result.update["messages"]
assert len(messages) == 1
assert messages[0].content == "ok"
@pytest.mark.anyio
async def test_awrap_tool_call_passthrough_when_sandbox_already_in_state() -> None:
middleware = SandboxMiddleware()
state: dict = {"sandbox": {"sandbox_id": "existing"}}
request = _make_tool_call_request(state)
original = ToolMessage(content="ok", tool_call_id="call-1", name="bash")
async def handler(req: ToolCallRequest) -> ToolMessage:
return original
result = await middleware.awrap_tool_call(request, handler)
assert result is original
def test_wrap_tool_call_preserves_existing_command_fields_when_merging() -> None:
"""Regression: when merging sandbox_update into an existing Command,
all other Command fields (e.g. graph, goto, resume) must be preserved.
"""
middleware = SandboxMiddleware()
state: dict = {}
request = _make_tool_call_request(state)
def handler(req: ToolCallRequest) -> Command:
req.runtime.state["sandbox"] = {"sandbox_id": "sbx-merge"}
return Command(
update={"existing_key": "existing_value"},
graph="parent",
goto="next_node",
resume="resume-token",
)
result = middleware.wrap_tool_call(request, handler)
assert isinstance(result, Command)
assert result.update == {
"existing_key": "existing_value",
"sandbox": {"sandbox_id": "sbx-merge"},
}
# Critical: other Command fields must NOT be dropped by the merge.
assert result.graph == "parent"
assert result.goto == "next_node"
assert result.resume == "resume-token"