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feat(sdk): surface subagents via inherited lc_agent_name projection (#3644)

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Removes deepagents' bespoke `SubagentTransformer` and its scope-factory
wiring. Subagents already bind `lc_agent_name` (including
`CompiledSubAgent` for raw graphs), so the `SubagentTransformer` that
`create_agent` now registers (langchain-ai/langchain#37739) surfaces
them on `run.subagents` automatically — with no per-tool `subagent_name`
annotation and no `subagent_type`-arg parsing. The `task` tool drops its
`subagent_name=` declaration accordingly.

Also keeps the `ensure_config`-merge propagation work so a subagent
inherits the parent's user metadata while preserving its own bound
`lc_agent_name` (deepagents#3634).

Depends on langchain-ai/langchain#37739 and langchain-ai/langgraph#7928
(both unreleased) — pinned via temporary git revs in
`[tool.uv.sources]`; replace with released floors before merge.
This commit is contained in:
Nick Hollon
2026-06-02 16:30:43 -04:00
committed by GitHub
parent fb2adc0585
commit e0a1ed24e6
25 changed files with 1692 additions and 2330 deletions
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examples/async-subagent-server/uv.lock
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examples/rlm_agent/uv.lock
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View File
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version = "0.4.2"
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{ name = "langchain-protocol" },
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[[package]]
libs/cli/uv.lock
Generated
+1088 -1085
View File
File diff suppressed because it is too large Load Diff
libs/code/uv.lock
Generated
+16 -13
View File
@@ -980,7 +980,7 @@ dependencies = [
[package.metadata]
requires-dist = [
{ name = "langchain", specifier = ">=1.3.2,<2.0.0" },
{ name = "langchain", specifier = ">=1.3.3,<2.0.0" },
{ name = "langchain-anthropic", specifier = ">=1.4.3,<2.0.0" },
{ name = "langchain-core", specifier = ">=1.4.0,<2.0.0" },
{ name = "langchain-google-genai", specifier = ">=4.2.2,<5.0.0" },
@@ -2551,16 +2551,16 @@ wheels = [
[[package]]
name = "langchain"
version = "1.3.2"
version = "1.3.3"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "langchain-core" },
{ name = "langgraph" },
{ name = "pydantic" },
]
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@@ -3124,7 +3124,7 @@ wheels = [
[[package]]
name = "langgraph"
version = "1.2.2"
version = "1.2.4"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "langchain-core" },
@@ -3134,9 +3134,9 @@ dependencies = [
{ name = "pydantic" },
{ name = "xxhash" },
]
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name = "langgraph-checkpoint"
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version = "4.1.1"
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@@ -3262,15 +3262,18 @@ wheels = [
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name = "langgraph-sdk"
version = "0.3.14"
version = "0.4.2"
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{ name = "websockets" },
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libs/deepagents/deepagents/__init__.py
-8
View File
@@ -1,10 +1,5 @@
"""Deep Agents package."""
from deepagents._subagent_transformer import (
AsyncSubagentRunStream,
SubagentRunStream,
SubagentTransformer,
)
from deepagents._version import __version__
from deepagents.graph import DeepAgentState, create_deep_agent
from deepagents.middleware.async_subagents import AsyncSubAgent, AsyncSubAgentMiddleware
@@ -26,7 +21,6 @@ from deepagents.profiles.provider.provider_profiles import (
__all__ = [
"AsyncSubAgent",
"AsyncSubAgentMiddleware",
"AsyncSubagentRunStream",
"CompiledSubAgent",
"DeepAgentState",
"FilesystemMiddleware",
@@ -39,8 +33,6 @@ __all__ = [
"RubricMiddleware",
"SubAgent",
"SubAgentMiddleware",
"SubagentRunStream",
"SubagentTransformer",
"__version__",
"create_deep_agent",
"register_harness_profile",
libs/deepagents/deepagents/_subagent_transformer.py
-246
View File
@@ -1,246 +0,0 @@
"""Surface declared subagents as typed `run.subagents` handles.
Pregel's `tasks` event names a child task by its parent's node name
(typically `"tools"`) plus a Pregel-assigned task id. The actual
`subagent_type` and the user-facing `tool_call_id` only live in the
**parent** task's `input` payload (the list of tool calls). This
transformer does two things:
1. At parent scope, intercept `tasks` start events whose `name ==
"tools"` and `input` is a list containing one or more `task` tool
calls. For each such tool call, record
`parent_task_id → (subagent_type, tool_call_id)`.
2. When a direct-child `tasks` start fires (segment `"tools:<id>"`),
look up `id` in the pending map. If it resolves to a declared
subagent name, build a `SubagentRunStream` (or async variant)
wrapping a child mini-mux and push it onto the `subagents` log.
The handle reports `graph_name` as the subagent's declared type
(e.g. `"researcher"`) and `trigger_call_id` as the user-facing
tool call id (e.g. `"call-parent-1"`).
A subagent therefore shows up on **both** `run.subgraphs` (untyped,
superset, keyed by the raw Pregel segment) and `run.subagents`
(typed, declared-only, with user-friendly identifiers).
"""
from __future__ import annotations
from typing import TYPE_CHECKING, Any, ClassVar
from langgraph.stream.run_stream import (
AsyncSubgraphRunStream,
SubgraphRunStream,
)
from langgraph.stream.stream_channel import StreamChannel
from langgraph.stream.transformers import (
SubgraphStatus,
_TasksLifecycleBase,
)
if TYPE_CHECKING:
from langgraph.stream._mux import StreamMux
from langgraph.stream._types import ProtocolEvent
class SubagentRunStream(SubgraphRunStream):
"""Typed sync handle for a declared subagent execution."""
def __init__(
self,
mux: StreamMux,
*,
path: tuple[str, ...],
graph_name: str | None = None,
trigger_call_id: str | None = None,
task_input: str | None = None,
) -> None:
super().__init__(
mux,
path=path,
graph_name=graph_name,
trigger_call_id=trigger_call_id,
)
self.task_input = task_input
@property
def name(self) -> str | None:
return self.graph_name
@property
def cause(self) -> dict[str, str] | None:
if self.trigger_call_id is None:
return None
return {"type": "toolCall", "tool_call_id": self.trigger_call_id}
class AsyncSubagentRunStream(AsyncSubgraphRunStream):
"""Typed async handle for a declared subagent execution."""
def __init__(
self,
mux: StreamMux,
*,
path: tuple[str, ...],
graph_name: str | None = None,
trigger_call_id: str | None = None,
task_input: str | None = None,
) -> None:
super().__init__(
mux,
path=path,
graph_name=graph_name,
trigger_call_id=trigger_call_id,
)
self.task_input = task_input
@property
def name(self) -> str | None:
return self.graph_name
@property
def cause(self) -> dict[str, str] | None:
if self.trigger_call_id is None:
return None
return {"type": "toolCall", "tool_call_id": self.trigger_call_id}
class SubagentTransformer(_TasksLifecycleBase):
"""Promote declared subagents into typed handles on `run.subagents`."""
_native: ClassVar[bool] = True
def __init__(
self,
scope: tuple[str, ...] = (),
*,
subagent_names: frozenset[str] = frozenset(),
) -> None:
super().__init__(scope)
self._names = subagent_names
self._log: StreamChannel[SubagentRunStream | AsyncSubagentRunStream] = StreamChannel()
self._handles: dict[tuple[str, ...], SubagentRunStream | AsyncSubagentRunStream] = {}
self._mux: StreamMux | None = None
# parent_task_id -> {"subagent_type": ..., "tool_call_id": ...}
self._pending: dict[str, dict[str, str]] = {}
def init(self) -> dict[str, Any]:
return {"subagents": self._log}
def _on_register(self, mux: StreamMux) -> None:
self._mux = mux
def _should_track(self, ns: tuple[str, ...]) -> bool:
depth = len(self.scope)
return len(ns) == depth + 1 and ns[:depth] == self.scope
def _capture_pending_from_parent(self, event: ProtocolEvent) -> None:
"""Record subagent metadata from a parent-scope `tools`-task start.
Pregel emits a `tasks` start at the parent ns whose `input` is
the list of tool calls being dispatched. Each `task` tool
call carries the user-visible `tool_call_id`, the declared
`subagent_type`, and the `description` we need at
child-task time.
"""
ns = tuple(event["params"]["namespace"])
if ns != self.scope:
return
data = event["params"]["data"]
if "result" in data or data.get("name") != "tools":
return
parent_task_id = data.get("id")
tool_calls = data.get("input")
if not isinstance(parent_task_id, str) or not isinstance(tool_calls, list):
return
for tc in tool_calls:
if not isinstance(tc, dict) or tc.get("name") != "task":
continue
args = tc.get("args") or {}
subagent_type = args.get("subagent_type")
tool_call_id = tc.get("id")
task_input = args.get("description")
if not isinstance(subagent_type, str):
continue
self._pending[parent_task_id] = {
"subagent_type": subagent_type,
"tool_call_id": tool_call_id if isinstance(tool_call_id, str) else "",
"task_input": task_input if isinstance(task_input, str) else "",
}
# First task-typed call wins; multiple `task` calls under
# the same parent task aren't expected in the current
# scheduling model.
return
def _on_started(
self,
ns: tuple[str, ...],
graph_name: str | None, # noqa: ARG002
trigger_call_id: str | None,
) -> None:
if trigger_call_id is None:
return
info = self._pending.pop(trigger_call_id, None)
if info is None:
return
subagent_type = info["subagent_type"]
if subagent_type not in self._names:
return
if self._mux is None or ns in self._handles:
return
try:
child_mux = self._mux._make_child(ns)
except RuntimeError:
return
handle_cls = AsyncSubagentRunStream if child_mux.is_async else SubagentRunStream
handle = handle_cls(
mux=child_mux,
path=ns,
graph_name=subagent_type,
trigger_call_id=info["tool_call_id"] or None,
task_input=info["task_input"] or None,
)
self._handles[ns] = handle
self._log.push(handle)
def _on_terminal(
self,
ns: tuple[str, ...],
status: SubgraphStatus,
error: str | None,
) -> None:
handle = self._handles.get(ns)
if handle is None or handle._seen_terminal:
return
handle.status = status
if error is not None and handle.error is None:
handle.error = error
handle._seen_terminal = True
if handle._mux is None or handle._mux._events._closed:
return
if status == "failed":
handle._mux.fail(RuntimeError(error or "Subagent failed"))
else:
handle._mux.close()
def _handle_for_event(self, event: ProtocolEvent) -> SubagentRunStream | AsyncSubagentRunStream | None:
ns = tuple(event["params"]["namespace"])
depth = len(self.scope)
if len(ns) < depth + 1:
return None
handle = self._handles.get(ns[: depth + 1])
if handle is None or handle._mux is None or handle._mux._events._closed:
return None
return handle
def process(self, event: ProtocolEvent) -> bool:
if event.get("method") == "tasks":
self._capture_pending_from_parent(event)
keep = super().process(event)
handle = self._handle_for_event(event)
if handle is not None:
# Mirror SubgraphTransformer.process: observe the event on
# the handle (so `_latest` is populated for `output()`)
# before forwarding it to the child mini-mux.
handle._observe_event(event)
handle._mux.push(event)
return keep
libs/deepagents/deepagents/graph.py
-10
View File
@@ -33,7 +33,6 @@ from deepagents._excluded_middleware import (
)
from deepagents._messages_reducer import _messages_delta_reducer
from deepagents._models import resolve_model
from deepagents._subagent_transformer import SubagentTransformer
from deepagents._tools import _apply_tool_description_overrides
from deepagents._version import __version__
from deepagents.backends import StateBackend
@@ -795,14 +794,6 @@ def create_deep_agent( # noqa: C901, PLR0912, PLR0915 # Complex graph assembly
else:
final_system_prompt = system_prompt + "\n\n" + base_prompt
# Bake declared subagent names into a scope-aware factory so each
# subgraph mini-mux spawns a fresh `SubagentTransformer` that knows
# which nested runs belong to declared subagents.
subagent_names = frozenset(sub_agent_middleware.subagent_names if sub_agent_middleware is not None else ())
def _subagent_factory(scope: tuple[str, ...] = ()) -> SubagentTransformer:
return SubagentTransformer(scope, subagent_names=subagent_names)
return create_agent(
model,
system_prompt=final_system_prompt,
@@ -816,7 +807,6 @@ def create_deep_agent( # noqa: C901, PLR0912, PLR0915 # Complex graph assembly
name=name,
cache=cache,
state_schema=state_schema if state_schema is not None else DeepAgentState,
transformers=[_subagent_factory],
).with_config(
{
"recursion_limit": 9_999,
libs/deepagents/deepagents/middleware/subagents.py
+16 -38
View File
@@ -539,29 +539,6 @@ def _build_task_tool( # noqa: C901, PLR0915
subagent_state["messages"] = [HumanMessage(content=description)]
return subagent, subagent_state
def _build_subagent_config(runtime: ToolRuntime) -> RunnableConfig:
"""Derive the subagent's `RunnableConfig` from the parent's runtime config.
Only `callbacks`, `tags`, and `configurable` are forwarded.
Callbacks let Pregel's streaming handlers propagate into the subagent
so its events land on the parent's stream. Tags are forwarded
for tracing continuity. `configurable` is needed for Pregel to recognize
the subagent as a nested subgraph.
`recursion_limit` and `metadata` are intentionally
*not* forwarded — the subagent's own bound config must take precedence.
Passing `metadata` in the invoke config replaces the
subagent's bound metadata (e.g. `lc_agent_name`).
"""
parent_config = runtime.config or {}
config: RunnableConfig = {}
for key in ("callbacks", "tags", "configurable"):
if key in parent_config:
config[key] = parent_config[key] # type: ignore[literal-required]
return config
def task(
description: str,
subagent_type: str,
@@ -574,14 +551,14 @@ def _build_task_tool( # noqa: C901, PLR0915
value_error_msg = "Tool call ID is required for subagent invocation"
raise ValueError(value_error_msg)
subagent, subagent_state = _validate_and_prepare_state(subagent_type, description, runtime)
subagent_config = _build_subagent_config(runtime)
# Tag the subagent's configurable so downstream readers (e.g. middleware
# that key off `runtime.config["configurable"]["ls_agent_type"]`) see the
# subagent context, in addition to the langsmith tracing-context tag.
subagent_config["configurable"] = {
**subagent_config.get("configurable", {}),
"ls_agent_type": "subagent",
}
# The parent's callbacks, tags and configurable reach the subagent
# automatically: langgraph's `ensure_config` seeds each run from the
# ambient parent config and (as of langgraph#7926) merges it per-key, so
# the subagent's bound config still wins collisions (e.g. `lc_agent_name`,
# `recursion_limit`) and parent metadata propagates (deepagents#3634).
# Forwarding those keys explicitly would double-count under the merge
# (e.g. duplicate `tags`), so we only stamp the subagent tracing tag.
subagent_config: RunnableConfig = {"configurable": {"ls_agent_type": "subagent"}}
with _subagent_tracing_context():
result = subagent.invoke(subagent_state, subagent_config)
return _return_command_with_state_update(result, runtime.tool_call_id)
@@ -598,13 +575,14 @@ def _build_task_tool( # noqa: C901, PLR0915
value_error_msg = "Tool call ID is required for subagent invocation"
raise ValueError(value_error_msg)
subagent, subagent_state = _validate_and_prepare_state(subagent_type, description, runtime)
subagent_config = _build_subagent_config(runtime)
# Mirror `task()` — tag the subagent's configurable as well as the
# langsmith tracing context so both code paths see `ls_agent_type`.
subagent_config["configurable"] = {
**subagent_config.get("configurable", {}),
"ls_agent_type": "subagent",
}
# The parent's callbacks, tags and configurable reach the subagent
# automatically: langgraph's `ensure_config` seeds each run from the
# ambient parent config and (as of langgraph#7926) merges it per-key, so
# the subagent's bound config still wins collisions (e.g. `lc_agent_name`,
# `recursion_limit`) and parent metadata propagates (deepagents#3634).
# Forwarding those keys explicitly would double-count under the merge
# (e.g. duplicate `tags`), so we only stamp the subagent tracing tag.
subagent_config: RunnableConfig = {"configurable": {"ls_agent_type": "subagent"}}
with _subagent_tracing_context():
result = await subagent.ainvoke(subagent_state, subagent_config)
return _return_command_with_state_update(result, runtime.tool_call_id)
libs/deepagents/pyproject.toml
+1 -1
View File
@@ -22,7 +22,7 @@ classifiers = [
dependencies = [
"langchain-core>=1.4.0,<2.0.0",
"langsmith>=0.8.3",
"langchain>=1.3.2,<2.0.0",
"langchain>=1.3.3,<2.0.0",
"langchain-anthropic>=1.4.3,<2.0.0",
"langchain-google-genai>=4.2.2,<5.0.0",
"wcmatch",
libs/deepagents/tests/unit_tests/test_deep_agent_streaming.py
+9 -9
View File
@@ -11,6 +11,10 @@ from collections.abc import Callable, Sequence
from contextlib import suppress
from typing import Any
from langchain.agents._subagent_transformer import (
AsyncSubagentRunStream,
SubagentRunStream,
)
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models import BaseChatModel, LanguageModelInput
from langchain_core.messages import AIMessage, HumanMessage, ToolCall
@@ -20,11 +24,7 @@ from langchain_core.tools import BaseTool, tool
from langgraph.graph.state import CompiledStateGraph
from pydantic import Field
from deepagents import (
AsyncSubagentRunStream,
SubagentRunStream,
create_deep_agent,
)
from deepagents import create_deep_agent
class _Scripted(BaseChatModel):
@@ -182,7 +182,6 @@ class TestCreateDeepAgentAstreamV2:
handles: list[AsyncSubagentRunStream] = []
async for sub in run.subagents:
assert isinstance(sub, AsyncSubagentRunStream)
handles.append(sub)
async for _ in sub.messages:
pass
@@ -192,8 +191,8 @@ class TestCreateDeepAgentAstreamV2:
assert len(handles) == 1
(sub,) = handles
assert isinstance(sub, AsyncSubagentRunStream)
assert sub.name == "researcher"
assert sub.task_input == "look something up"
assert sub.cause == {"type": "toolCall", "tool_call_id": "call-parent-1"}
assert sub.status == "completed"
# path is ("tools:<pregel_task_id>",) — the tool node hosting the subagent.
@@ -235,7 +234,7 @@ class TestCreateDeepAgentAstreamV2:
run = await agent.astream_events({"messages": [HumanMessage(content="hi")]}, version="v3")
# No subagents should surface.
handles = [sub async for sub in run.subagents]
handles: list[AsyncSubagentRunStream] = [sub async for sub in run.subagents]
async for _ in run.messages:
pass
@@ -300,8 +299,8 @@ class TestCreateDeepAgentAstreamV2:
assert len(handles) == 1
(sub,) = handles
assert isinstance(sub, AsyncSubagentRunStream)
assert sub.name == "researcher"
assert sub.task_input == "look something up"
assert sub.status == "failed"
assert sub.error is not None
@@ -331,5 +330,6 @@ class TestCreateDeepAgentStreamV2:
pass
assert len(handles) == 1
assert isinstance(handles[0], SubagentRunStream)
assert handles[0].name == "researcher"
assert handles[0].status == "completed"
libs/deepagents/tests/unit_tests/test_subagent_transformer.py
-387
View File
@@ -1,387 +0,0 @@
"""Unit tests for `SubagentTransformer`.
Pushes synthetic `tasks` protocol events into a `StreamMux` configured
with `SubagentTransformer` alongside the usual native transformers.
Mirrors the structure of langgraph's `test_stream_subgraph_transformer.py`.
The realistic event sequence is:
1. Parent-scope `tasks` start with `name == "tools"` and `input`
containing `task` tool calls — this is how the transformer learns
`parent_task_id → (subagent_type, tool_call_id)`.
2. Child-scope `tasks` start at `["tools:<parent_task_id>"]` —
triggers `_on_started`, which looks up the parent mapping and
builds a `SubagentRunStream` if the type is declared.
3. Parent-scope `tasks` result with the matching `id` — closes the
child handle.
"""
from __future__ import annotations
import time
from typing import TYPE_CHECKING, Any
from langgraph.errors import GraphInterrupt
from langgraph.stream._mux import StreamMux
from langgraph.stream.stream_channel import StreamChannel
from langgraph.stream.transformers import (
LifecycleTransformer,
MessagesTransformer,
SubgraphTransformer,
ValuesTransformer,
)
from deepagents import SubagentRunStream, SubagentTransformer
if TYPE_CHECKING:
from langgraph.stream._types import ProtocolEvent
TS = int(time.time() * 1000)
def _tools_start(
namespace: list[str],
*,
parent_task_id: str,
subagent_type: str,
tool_call_id: str,
) -> ProtocolEvent:
"""A parent-scope `tools`-task start that dispatches one `task` tool call."""
return {
"type": "event",
"method": "tasks",
"params": {
"namespace": namespace,
"timestamp": TS,
"data": {
"id": parent_task_id,
"name": "tools",
"input": [
{
"name": "task",
"args": {"subagent_type": subagent_type},
"id": tool_call_id,
}
],
"triggers": [],
},
},
}
def _child_tasks_start(
namespace: list[str],
*,
task_id: str = "child-task",
name: str = "PatchToolCallsMiddleware.before_agent",
) -> ProtocolEvent:
"""A child-scope `tasks` start (any inner node — kicks off the subagent)."""
return {
"type": "event",
"method": "tasks",
"params": {
"namespace": namespace,
"timestamp": TS,
"data": {
"id": task_id,
"name": name,
"input": None,
"triggers": [],
},
},
}
def _parent_tasks_result(
namespace: list[str],
*,
parent_task_id: str,
error: str | None = None,
interrupts: list[dict[str, Any]] | None = None,
) -> ProtocolEvent:
"""A parent-scope `tools`-task result that closes the dispatched subagent."""
return {
"type": "event",
"method": "tasks",
"params": {
"namespace": namespace,
"timestamp": TS,
"data": {
"id": parent_task_id,
"name": "tools",
"error": error,
"interrupts": interrupts or [],
"result": {},
},
},
}
def _spawn(
mux: StreamMux,
*,
parent_task_id: str,
subagent_type: str,
tool_call_id: str,
parent_ns: list[str] | None = None,
) -> None:
"""Push parent + child start events that mimic a real subagent spawn."""
parent_ns = parent_ns or []
mux.push(
_tools_start(
parent_ns,
parent_task_id=parent_task_id,
subagent_type=subagent_type,
tool_call_id=tool_call_id,
)
)
mux.push(_child_tasks_start([*parent_ns, f"tools:{parent_task_id}"]))
def _values(payload: dict[str, Any], *, namespace: list[str]) -> ProtocolEvent:
return {
"type": "event",
"method": "values",
"params": {
"namespace": namespace,
"timestamp": TS,
"data": payload,
},
}
def _subscribe(log: StreamChannel) -> None:
log._subscribed = True
def _pre_subscribe_handle(handle: SubagentRunStream) -> None:
"""Flip `_subscribed` on every StreamChannel inside the handle's mini-mux."""
for value in handle._mux.extensions.values():
if isinstance(value, StreamChannel):
_subscribe(value)
def _factories(names: frozenset[str]):
def subagent_factory(scope: tuple[str, ...]) -> SubagentTransformer:
return SubagentTransformer(scope, subagent_names=names)
return [
ValuesTransformer,
MessagesTransformer,
LifecycleTransformer,
SubgraphTransformer,
subagent_factory,
]
def _handle_values_items(handle: SubagentRunStream) -> list:
# StreamChannel._items now stores `(stamp, item)` tuples; strip the stamp.
return [item for _stamp, item in handle._mux.extensions["values"]._items]
def _handle_subagents_items(handle: SubagentRunStream) -> list:
return [item for _stamp, item in handle._mux.extensions["subagents"]._items]
class TestSubagentTransformerUnit:
NAMES = frozenset({"researcher", "coder"})
def _mux(self) -> tuple[StreamMux, SubagentTransformer]:
mux = StreamMux(factories=_factories(self.NAMES), is_async=False)
transformer = mux.transformer_by_key("subagents")
assert isinstance(transformer, SubagentTransformer)
_subscribe(transformer._log)
return mux, transformer
def _handle(self, transformer: SubagentTransformer) -> SubagentRunStream:
# StreamChannel._items now stores `(stamp, item)` tuples; strip the stamp.
(entry,) = list(transformer._log._items)
_stamp, handle = entry
return handle
def test_nondeclared_subagent_type_is_ignored(self) -> None:
"""A `task` tool call with a non-declared subagent_type stays off `.subagents`."""
mux, transformer = self._mux()
_spawn(
mux,
parent_task_id="abc",
subagent_type="plain_subagent",
tool_call_id="tc-1",
)
assert list(transformer._log._items) == []
assert transformer._handles == {}
def test_declared_subagent_yields_handle(self) -> None:
"""A declared subagent_type produces a `SubagentRunStream` with proper metadata."""
mux, transformer = self._mux()
_spawn(
mux,
parent_task_id="abc",
subagent_type="researcher",
tool_call_id="tc-1",
)
handle = self._handle(transformer)
assert isinstance(handle, SubagentRunStream)
assert handle.path == ("tools:abc",)
assert handle.name == "researcher"
assert handle.cause == {"type": "toolCall", "tool_call_id": "tc-1"}
assert handle.status == "started"
def test_status_transitions(self) -> None:
"""A parent-scope tasks-result closes the subagent and marks completed."""
mux, transformer = self._mux()
_spawn(
mux,
parent_task_id="x",
subagent_type="researcher",
tool_call_id="tc-1",
)
mux.push(_parent_tasks_result([], parent_task_id="x"))
handle = self._handle(transformer)
assert handle.status == "completed"
assert handle._mux.extensions["values"]._closed
def test_failed_stores_error(self) -> None:
mux, transformer = self._mux()
_spawn(
mux,
parent_task_id="x",
subagent_type="researcher",
tool_call_id="tc-1",
)
mux.push(_parent_tasks_result([], parent_task_id="x", error="boom"))
handle = self._handle(transformer)
assert handle.status == "failed"
assert handle.error == "boom"
def test_values_routed_into_handle(self) -> None:
"""Values events under the subagent's ns flow into its mini-mux."""
mux, transformer = self._mux()
_spawn(
mux,
parent_task_id="x",
subagent_type="researcher",
tool_call_id="tc-1",
)
handle = self._handle(transformer)
_pre_subscribe_handle(handle)
mux.push(_values({"k": 1}, namespace=["tools:x"]))
mux.push(_values({"k": 2}, namespace=["tools:x"]))
assert _handle_values_items(handle) == [{"k": 1}, {"k": 2}]
assert handle.output == {"k": 2}
def test_root_values_not_routed(self) -> None:
"""A values event at root ns must not leak into a child handle."""
mux, transformer = self._mux()
_spawn(
mux,
parent_task_id="x",
subagent_type="researcher",
tool_call_id="tc-1",
)
handle = self._handle(transformer)
_pre_subscribe_handle(handle)
mux.push(_values({"k": "root"}, namespace=[]))
assert _handle_values_items(handle) == []
def test_nested_subagent_surfaces_under_parent(self) -> None:
"""A subagent spawned from inside another subagent surfaces on the parent's `.subagents`."""
mux, transformer = self._mux()
_spawn(
mux,
parent_task_id="p",
subagent_type="researcher",
tool_call_id="tc-p",
)
parent = self._handle(transformer)
_pre_subscribe_handle(parent)
# Nested spawn: parent ns is the researcher's ns; same `tools`-then-child pattern.
_spawn(
mux,
parent_task_id="c",
subagent_type="coder",
tool_call_id="tc-c",
parent_ns=["tools:p"],
)
(child,) = _handle_subagents_items(parent)
assert isinstance(child, SubagentRunStream)
assert child.path == ("tools:p", "tools:c")
assert child.name == "coder"
def test_nested_nondeclared_does_not_surface_on_subagents(self) -> None:
"""A nested non-declared subagent_type does NOT appear on `.subagents`."""
mux, transformer = self._mux()
_spawn(
mux,
parent_task_id="p",
subagent_type="researcher",
tool_call_id="tc-p",
)
parent = self._handle(transformer)
_pre_subscribe_handle(parent)
_spawn(
mux,
parent_task_id="c",
subagent_type="plain_nested",
tool_call_id="tc-c",
parent_ns=["tools:p"],
)
assert _handle_subagents_items(parent) == []
def test_finalize_closes_dangling(self) -> None:
"""A still-open child at finalize time is marked completed and its mux closed."""
mux, transformer = self._mux()
_spawn(
mux,
parent_task_id="x",
subagent_type="researcher",
tool_call_id="tc-1",
)
handle = self._handle(transformer)
mux.close()
assert handle.status == "completed"
assert handle._mux.extensions["values"]._closed
assert handle._mux.extensions["subagents"]._closed
def test_fail_with_graph_interrupt_marks_interrupted(self) -> None:
mux, transformer = self._mux()
_spawn(
mux,
parent_task_id="x",
subagent_type="researcher",
tool_call_id="tc-1",
)
handle = self._handle(transformer)
mux.fail(GraphInterrupt())
assert handle.status == "interrupted"
def test_fail_with_generic_error_marks_failed(self) -> None:
mux, transformer = self._mux()
_spawn(
mux,
parent_task_id="x",
subagent_type="researcher",
tool_call_id="tc-1",
)
handle = self._handle(transformer)
mux.fail(RuntimeError("kaboom"))
assert handle.status == "failed"
assert handle.error == "kaboom"
libs/deepagents/tests/unit_tests/test_subagents.py
+98
View File
@@ -692,6 +692,104 @@ class TestSubAgents:
# so that lc_agent_name in streamed chunks reflects the declared subagent name.
assert captured_config["metadata"]["lc_agent_name"] == "general-purpose"
def test_subagent_inherits_parent_user_metadata(self) -> None:
"""User metadata set on the parent invoke reaches subagent runs (deepagents#3634).
`langgraph`'s `ensure_config` seeds each run's metadata from the ambient
parent config and merges it per-key (langgraph#7926). A user key like
`customer_id` therefore propagates into subagent runs, while the
subagent's bound `lc_agent_name` wins the key collision and is preserved.
Requires a `langgraph` that includes langgraph#7926's merge semantics;
with the older overwrite behaviour the parent metadata is dropped.
"""
captured_config: Any = None
@tool
def capture_metadata(runtime: ToolRuntime) -> str:
"""Capture the runtime config from inside the subagent."""
nonlocal captured_config
captured_config = runtime.config
return "OK"
parent_chat_model = GenericFakeChatModel(
messages=iter(
[
AIMessage(
content="",
tool_calls=[
{
"name": "task",
"args": {
"description": "Capture metadata and report it.",
"subagent_type": "general-purpose",
},
"id": "call_subagent_metadata",
"type": "tool_call",
}
],
),
AIMessage(content="The subagent finished successfully."),
]
)
)
subagent_chat_model = GenericFakeChatModel(
messages=iter(
[
AIMessage(
content="",
tool_calls=[
{
"name": "capture_metadata",
"args": {},
"id": "call_capture_metadata",
"type": "tool_call",
}
],
),
AIMessage(content="done"),
]
)
)
compiled_subagent = create_agent(
model=subagent_chat_model,
tools=[capture_metadata],
name="subagent-runtime-check",
)
parent_agent = create_deep_agent(
model=parent_chat_model,
checkpointer=InMemorySaver(),
subagents=[
CompiledSubAgent(
name="general-purpose",
description="A general-purpose agent for various tasks.",
runnable=compiled_subagent,
)
],
)
parent_agent.invoke(
{"messages": [HumanMessage(content="Run the metadata check.")]},
config={
"configurable": {"thread_id": str(uuid.uuid4())},
# `lc_agent_name` collides with the subagent's bound identity (it
# must keep its own value); `customer_id` is a non-colliding user
# key that must survive the merge into the subagent's runs.
"metadata": {"customer_id": "abc-123", "lc_agent_name": "parent-agent"},
},
durability="exit",
)
assert captured_config is not None
subagent_metadata = captured_config["metadata"]
# User-set parent metadata propagated into the subagent run.
assert subagent_metadata["customer_id"] == "abc-123"
# The subagent's bound identity won the `lc_agent_name` collision.
assert subagent_metadata["lc_agent_name"] == "general-purpose"
def test_subagent_inherits_interrupt_on_from_parent_agent(self) -> None:
interrupt_payloads: list[Any] = []
libs/deepagents/uv.lock
Generated
+55 -69
View File
@@ -449,7 +449,7 @@ test = [
[package.metadata]
requires-dist = [
{ name = "langchain", specifier = ">=1.3.2,<2.0.0" },
{ name = "langchain", specifier = ">=1.3.3,<2.0.0" },
{ name = "langchain-anthropic", specifier = ">=1.4.3,<2.0.0" },
{ name = "langchain-core", specifier = ">=1.4.0,<2.0.0" },
{ name = "langchain-google-genai", specifier = ">=4.2.2,<5.0.0" },
@@ -812,16 +812,16 @@ wheels = [
[[package]]
name = "langchain"
version = "1.3.2"
version = "1.3.3"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "langchain-core" },
{ name = "langgraph" },
{ name = "pydantic" },
]
sdist = { url = "https://files.pythonhosted.org/packages/d5/d0/c7f9d3d26c0e3f8bb146c6d707ee0fc1d30d8da65a59626e8a580085e929/langchain-1.3.2.tar.gz", hash = "sha256:ffd5f204a46b5fa1a38bf89ba3b45ca0902c02d18fa7d2a2eaeaeb1f5bf19d0a", size = 600598, upload-time = "2026-05-26T18:17:57.715Z" }
sdist = { url = "https://files.pythonhosted.org/packages/df/ba/48fd6fa266564eb2a1ab242b6f73a8b0d0ba0a6062b794e0d24fb96ebbac/langchain-1.3.3.tar.gz", hash = "sha256:cccb7e3adb7dab82f81025573f51dc5349611d776d9d69f7ed54bd3b191b121e", size = 605346, upload-time = "2026-06-02T18:20:08.538Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/f8/82/a54edcd1c48163de5642eb10fa2cb58b13a8889c659964f63f0306b58b1e/langchain-1.3.2-py3-none-any.whl", hash = "sha256:900f6b3f4ee08b9ba3cdbe667dbf42525bd6f66a4a07a7f1db26262673e41ed6", size = 121225, upload-time = "2026-05-26T18:17:56.075Z" },
{ url = "https://files.pythonhosted.org/packages/b2/ec/56ddfb189ac8027f3959f03a9fd350c3e72a41117a939532c4622bbd9ce3/langchain-1.3.3-py3-none-any.whl", hash = "sha256:f69001c93394bcb8f73828259be9164fdca815a113d923e32ecc28bbd13d63ef", size = 125204, upload-time = "2026-06-02T18:20:07.16Z" },
]
[[package]]
@@ -889,14 +889,14 @@ wheels = [
[[package]]
name = "langchain-protocol"
version = "0.0.14"
version = "0.0.15"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "typing-extensions" },
]
sdist = { url = "https://files.pythonhosted.org/packages/05/bf/efb5e2ed832e4d6d45590e25a9e5191986b291b543bc6a807b48bee070b0/langchain_protocol-0.0.14.tar.gz", hash = "sha256:bc1e8553122e6ede310280462d5813023a172ff2785ccbbdec54d43f3a15e5f2", size = 5862, upload-time = "2026-04-29T16:40:18.657Z" }
sdist = { url = "https://files.pythonhosted.org/packages/4f/24/9777489d6fbbee64af0c8f96d4f840239c408cf694f3394672807dafc490/langchain_protocol-0.0.15.tar.gz", hash = "sha256:9ab2d11ee73944754f10e037e717098d3a6796f0e58afa9cadda6154e7655ade", size = 5862, upload-time = "2026-05-01T22:30:04.748Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/c2/e9/06c47ecb2aff08f83dfa30058da3bf86be64862c19569043ed5331bbeecd/langchain_protocol-0.0.14-py3-none-any.whl", hash = "sha256:ffc35089779bd8ca217015180cef5e660fc3b074efdaa0f2e95df73583f1a047", size = 6984, upload-time = "2026-04-29T16:40:17.841Z" },
{ url = "https://files.pythonhosted.org/packages/1d/7a/9c97a7b9cbe4c5dc6a44cdb1545450c28f0c8ce89b9c1f0ee7fbad896263/langchain_protocol-0.0.15-py3-none-any.whl", hash = "sha256:461eb794358f83d5e42635a5797799ffec7b4702314e34edf73ac21e75d3ef79", size = 6982, upload-time = "2026-05-01T22:30:03.877Z" },
]
[[package]]
@@ -939,7 +939,7 @@ wheels = [
[[package]]
name = "langgraph"
version = "1.2.2"
version = "1.2.4"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "langchain-core" },
@@ -949,22 +949,22 @@ dependencies = [
{ name = "pydantic" },
{ name = "xxhash" },
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libs/evals/uv.lock
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libs/partners/daytona/uv.lock
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[[package]]
libs/partners/runloop/uv.lock
Generated
+19 -16
View File
@@ -398,7 +398,7 @@ dependencies = [
[package.metadata]
requires-dist = [
{ name = "langchain", specifier = ">=1.3.2,<2.0.0" },
{ name = "langchain", specifier = ">=1.3.3,<2.0.0" },
{ name = "langchain-anthropic", specifier = ">=1.4.3,<2.0.0" },
{ name = "langchain-core", specifier = ">=1.4.0,<2.0.0" },
{ name = "langchain-google-genai", specifier = ">=4.2.2,<5.0.0" },
@@ -665,16 +665,16 @@ wheels = [
[[package]]
name = "langchain"
version = "1.3.2"
version = "1.3.3"
source = { registry = "https://pypi.org/simple" }
dependencies = [
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