Compare commits

..
Author SHA1 Message Date
Sera 8b3cd60a3b fix(langgraph): keep only name, description and forked in __subagents 2026-10-26 22:47:37 -04:00
Sera b07f0ebc28 feat(langgraph): list a ToolNode's tool subagents in graph node metadata 2026-10-26 22:28:28 -04:00
Elior Nataf Lackritz 858891aaa1 fix(langgraph): don't report a paused tool as failed on the tools stream (#9406)
`interrupt()` inside a tool raises `GraphInterrupt`, and langchain-core
calls `on_tool_error` for every exception, so the `tools` stream
reported a tool that was only waiting for an answer as `tool-error`,
with the interrupt flattened into the message. With a subagent running
inside a tool, the outer tool showed as failed while the subagent waited
for approval. Fixes #8218.

## Fix

- An interrupt or a drain ends the tool's events without a `tool-error`.
On resume the tool runs again and emits `tool-started` and
`tool-finished`. A parent command doesn't rerun the tool, so it still
ends the call with `tool-error`, as before.
- `astream` no longer runs every node in streaming mode just because the
`tools` handler is attached. Like the `messages` handler, it doesn't
need it, and with it a `@task` awaited inside a subgraph node returned
`None` whenever the `tools` mode was on.

The new tests fail on `main`.

## Release note

The `tools` stream no longer sends `tool-error` for a tool that pauses
on `interrupt()`. Until the run resumes, that tool has a `tool-started`
event and no end event. In-process `stream_events(version="v3")` now
ends that tool's stream as completed with no output, instead of failed
with the interrupt.

Same idea as #8219 by @haseeb-m4235 and #8282 by @thsfranca.
2026-10-26 19:35:13 -04:00
Elior Nataf Lackritz 1526b0e82d fix(sdk-py): reset the reconnect cursor on every empty id (#9440)
#9402 made an empty `id:` field reset the reconnect cursor, so the next
reconnect sends no `Last-Event-ID`. Two cases still reconnected with the
old cursor.

- A `Last-Event-ID` header the caller passed in, as
`runs.join_stream(last_event_id=...)` does, stayed in the reconnect
headers. A stream joined at 5 that sent id 6 and then an empty id
reconnected from 5, so event 6 arrived twice. Once the stream has sent
an `id:` field, the caller's header is now dropped, in any letter case,
and the stream's cursor is sent if it is not empty. This also stops a
caller header spelled `last-event-id` from going out next to the SDK's
own `Last-Event-ID`.
- An empty `id:` on its own, with no event or data in its block, never
reached the stream loop, because the decoder skipped the block as empty.
The decoder now returns it as an empty part. The stream loop takes the
reset from it and, like every other caller in the SDK, drops the part.

The new test cases fail on `main`.

Both cases were reported by @1052326311 on #9014 and by @Tivonsico on
#9230, whose suggested approach this follows. Related: #9299, not fixed
here.

## Release note

Once a stream has sent an `id:` field, reconnects no longer send a
`Last-Event-ID` header the caller passed in. After an empty `id:`,
`SSEDecoder.decode` returns an empty part, with no event and no data,
for each block that has neither, as it already did after a non-empty id.
2026-10-26 20:31:20 +00:00
Elior Nataf Lackritz c2c73b4f91 fix(langgraph): return an awaited @task's value while streaming (#9407)
A `@task` awaited inside a node returned `None` whenever the node ran in
streaming mode, which `astream_events` (v1 and v2) turns on, and so does
everything built on it. With streaming, `arun_with_retry` drains the
task's `astream()` and returned nothing, so the awaiting node got
`None`. Fixes #9284.

It now returns the value the task wrote, on both stream paths (with and
without a timeout).

The new test fails on `main` for v1 and v2, including a task that
returns a falsy value.

Same idea as #9295 by @AaronG18, and the lookup @amishaguptaberk
suggested on the issue.
2026-10-26 20:29:22 +00:00
Sera 03e73ff51b feat(langgraph): list ToolNode tool names in graph node metadata (#9449)
A `ToolNode` appears in `get_graph()` output as a plain runnable named
`tools`. Graph viewers such as Studio can't show which tools it runs,
and with deep agents that's most of what the agent does.

## Changes
- `draw_graph` adds `metadata["__tools"]`, the node's tool names in
order, for any node with a non-empty `tools_by_name`.
- The check is duck-typed, so core doesn't import from
`langgraph-prebuilt`.

## Reviewer notes
- Names only. Tool descriptions are long for deep agents and would bloat
`/graph` payloads.
- This sits next to `__interrupt`. Like it, `__tools` shows up in node
labels from `draw_mermaid(with_styles=True)`, but not in the
`with_styles=False` output.

## Test Plan
- [x] The `to_json()` snapshots for `create_react_agent` and the
hand-built `ToolNode` graph now include `__tools`.
- [x] A local deep agent's `/assistants/{id}/graph` response lists all
11 tools on the `tools` node.
2026-10-26 16:11:08 -04:00
Elior Nataf Lackritz 3521f08e21 release(checkpoint): 4.3.1 (#9447)
Version bump only. No library code changes in this PR.

Unreleased since `checkpoint==4.3.0`:

- #9383 - reject NUL bytes in store namespace labels
2026-10-26 19:47:44 +00:00
Elior Nataf Lackritz 24294fad37 release(langgraph): 1.2.18 (#9445)
Bumps langgraph from 1.2.17 to 1.2.18.

Includes:

- Default `DeltaChannel` snapshots to every 100 updates instead of 1000
(#9420)
- Let `error_handler` recover on every path and stream failed task
results (#9408)
- Stream the last checkpoint of a run stopped by `interrupt_after` or
the recursion limit (#9409)
- Stop duplicating tags at every subgraph level (#9400)
2026-10-26 15:40:09 -04:00
Elior Nataf Lackritz f6317d5cb1 release(sdk-py): 0.4.10 (#9446)
Bumps the Python SDK version from 0.4.9 to 0.4.10.

Includes:

- Retry `runs.wait` with a bodyless GET and raise run errors in the sync
`wait` (#9399)
- Follow the SSE spec for multi-line data, empty ids and a leading BOM
(#9402)
- Accept `durability`, `stream_resumable` and `context` in the `runs`
overloads (#9403)
2026-10-26 15:40:04 -04:00
Elior Nataf Lackritz 7e56e6c80b fix(langgraph): let error_handler recover on every path and stream failed task results (#9408)
- A node's `error_handler` ran, but the original error was still raised
when the node ran on the executor path: when streaming `messages` or
`custom`, with `subgraphs=True`, or next to a parallel node. The runner
marked the handled task's future, but the executors re-raised every
failed future on exit without checking the mark. The mark now lives in
the executor module, and both executors skip those futures. Fixes #8608.
- With only `tasks` or `debug` streaming, a failing task's result (with
its `error`) was never streamed: the single-task fast path raised before
the caller drained the stream queue. It now yields once before
re-raising. Fixes #5764.

The new tests fail on `main`.

Ideas from #8278 by @UdayKiranJadi, #8611 by @SnowingFox, #8823 by
@sailikhithk, #6984 by @Br1an67 and #8400 by @cms19859230182-lang.
2026-10-26 14:15:25 -04:00
0fc4f35b66 feat(langgraph)!: default delta snapshots to 100 updates (#9420)
Change `DeltaChannel`'s default `snapshot_frequency` from 1000 to 100
updates, including channels used for messages, to bound replay latency
with more frequent snapshots. Explicit overrides remain unchanged.

Co-authored-by: Elior Nataf Lackritz <eliornl@users.noreply.github.com>
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
2026-10-26 13:28:01 -04:00
raghavverma-langchain 58be6911de release(cli): 0.4.40 (#9443)
## Summary

bumps the cli to 0.4.40 to cut a release with #9396, the only cli change
since 0.4.39

- `langgraph deploy --remote` now sends whatever headers the control
plane returns with the source upload url, so uploads work with storage
that needs extra headers (like azure blob storage)
- control planes that dont return any headers keep the old behavior, so
nothing changes for existing setups

## Test Plan
- [x] #9396 (send the upload headers the control plane returns) is the
only CLI change merged since 0.4.39
- [ ] After merge, run the `release` workflow with `working-directory:
libs/cli` (merging doesn't publish by itself)
- [ ] `pip install -U langgraph-cli` picks up 0.4.40

## Demo

<!-- Drag a screen recording or screenshot here -->
2026-10-26 16:25:10 +00:00
raghavverma-langchain 1adeafeaf3 feat(cli): send the upload headers the control plane returns (#9396)
## Summary

some storage needs extra headers on the signed upload PUT (azure blob
storage 400s without `x-ms-blob-type`), and `langgraph deploy --remote`
always sent the same gcs style headers no matter what. this lets the
control plane tell the cli what to send

- `request_upload_url` now sends `supports_upload_headers: true` so the
control plane knows this cli can handle it
- if the response has `upload_headers` the upload sends exactly those +
content-length. if not its the same defaults as before so older control
planes wont see a difference
- content-type stays as a fallback, otherwise urllib sneaks in a form
content type and that breaks signed urls

## Test Plan
- [x] `make lint` and `make test` pass in `libs/cli` (576 tests)
- [x] New tests: the upload-url request carries the flag; returned
headers are sent as-is plus the real `Content-Length` (overriding a
returned one); missing or empty `upload_headers` sends the old defaults;
returned headers without a `Content-Type` still send `application/gzip`.
Each fails without the change
- [x] Against a real Azure Blob Storage upload URL: 0.4.36 fails with
`MissingRequiredHeader` (`x-ms-blob-type`), and this branch's upload
with the returned headers succeeds (201)
- [ ] After release, `langgraph deploy --remote` still uploads against a
control plane that returns no `upload_headers`

## Demo

<!-- Drag a screen recording or screenshot here -->
2026-10-26 11:02:08 -04:00
32 changed files with 661 additions and 62 deletions

No files matched your search

+1 -1
View File
@@ -279,7 +279,7 @@ wheels = [
[[package]]
name = "langgraph-checkpoint"
version = "4.3.0"
version = "4.3.1"
source = { editable = "../checkpoint" }
dependencies = [
{ name = "langchain-core" },
+1 -1
View File
@@ -278,7 +278,7 @@ wheels = [
[[package]]
name = "langgraph-checkpoint"
version = "4.3.0"
version = "4.3.1"
source = { editable = "../checkpoint" }
dependencies = [
{ name = "langchain-core" },
+1 -1
View File
@@ -285,7 +285,7 @@ wheels = [
[[package]]
name = "langgraph-checkpoint"
version = "4.3.0"
version = "4.3.1"
source = { editable = "../checkpoint" }
dependencies = [
{ name = "langchain-core" },
+1 -1
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph-checkpoint"
version = "4.3.0"
version = "4.3.1"
description = "Library with base interfaces for LangGraph checkpoint savers."
authors = []
requires-python = ">=3.10"
+1 -1
View File
@@ -301,7 +301,7 @@ wheels = [
[[package]]
name = "langgraph-checkpoint"
version = "4.3.0"
version = "4.3.1"
source = { editable = "." }
dependencies = [
{ name = "langchain-core" },
+1 -1
View File
@@ -1 +1 @@
__version__ = "0.4.39"
__version__ = "0.4.40"
+20 -8
View File
@@ -1061,6 +1061,8 @@ def _docker_config_for_token(registry_host: str, token: str, username: str):
_UPLOAD_TIMEOUT_SECONDS = 300
_BYTES_PER_MIB = 1_048_576
# Byte range Cloud Storage signs into upload URLs, up to the 200 MB archive limit.
_GCS_SIZE_RANGE = f"0,{200 * _BYTES_PER_MIB}"
class _ProgressReader:
@@ -1086,12 +1088,24 @@ class _ProgressReader:
return self._file_size
def _upload_to_gcs(signed_url: str, file_path: str, file_size: int) -> None:
"""Upload tarball to GCS via signed PUT URL with progress display."""
def _upload_source_tarball(
signed_url: str,
file_path: str,
file_size: int,
upload_headers: dict[str, str] | None,
) -> None:
"""Upload tarball via signed PUT URL with progress display."""
import urllib.error
import urllib.request
em = _get_emitter()
# Control planes that return no `upload_headers` sign for the Cloud Storage
# size range. Content-Type is a fallback: without one, urllib sends a form
# content type, which breaks signatures that cover it.
headers = {
"Content-Type": "application/gzip",
**(upload_headers or {"X-Goog-Content-Length-Range": _GCS_SIZE_RANGE}),
}
with open(file_path, "rb") as f:
reader = _ProgressReader(f, file_size, em)
@@ -1099,11 +1113,7 @@ def _upload_to_gcs(signed_url: str, file_path: str, file_size: int) -> None:
signed_url,
data=reader,
method="PUT",
headers={
"Content-Type": "application/gzip",
"Content-Length": str(file_size),
"X-Goog-Content-Length-Range": "0,209715200",
},
headers={**headers, "Content-Length": str(file_size)},
)
try:
urllib.request.urlopen(req, timeout=_UPLOAD_TIMEOUT_SECONDS)
@@ -1423,7 +1433,9 @@ def _run_remote_build(
step += 1
_log_deploy_step(step, "Uploading source")
_upload_to_gcs(signed_url, archive_path, file_size)
_upload_source_tarball(
signed_url, archive_path, file_size, upload_data.get("upload_headers")
)
step += 1
_log_deploy_step(step, "Triggering remote build")
+4 -1
View File
@@ -283,10 +283,13 @@ class HostBackendClient:
)
def request_upload_url(self, deployment_id: str) -> dict[str, Any]:
"""Get a signed GCS URL for uploading the source tarball."""
"""Get a signed URL for uploading the source tarball."""
# Tells the control plane this client sends the returned
# `upload_headers` with its upload, which some storage requires.
return self._request(
"POST",
f"/v2/deployments/{deployment_id}/upload-url",
{"supports_upload_headers": True},
)
def update_deployment(
@@ -96,6 +96,7 @@ class ControlPlaneDouble:
existing_deployments: list[dict] = field(default_factory=list)
push_token_status: int = 200
push_token_extra: dict = field(default_factory=dict)
upload_url_extra: dict = field(default_factory=dict)
create_error: str | None = None
listeners: list[dict] = field(default_factory=list)
listeners_by_id: dict[str, dict] = field(default_factory=dict)
@@ -163,7 +164,12 @@ class ControlPlaneDouble:
)
if path.endswith("/upload-url"):
return httpx.Response(
200, json={"upload_url": SIGNED_UPLOAD_URL, "object_path": OBJECT_PATH}
200,
json={
"upload_url": SIGNED_UPLOAD_URL,
"object_path": OBJECT_PATH,
**self.upload_url_extra,
},
)
if method == "PATCH":
return httpx.Response(200, json={"tenant_id": "tenant-1"})
@@ -280,7 +286,7 @@ class DeployProject:
control_plane: ControlPlaneDouble
docker: DockerDouble
timeline: list[str]
uploads: list[tuple[str, str, int]]
uploads: list[tuple[str, str, int, dict[str, str] | None]]
def run(self, *args: str, host_url: str = CONTROL_PLANE_URL) -> Result:
return CliRunner().invoke(
@@ -317,16 +323,21 @@ def deploy_project(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> DeployPro
timeline: list[str] = []
control_plane = ControlPlaneDouble(timeline)
docker = DockerDouble(timeline)
uploads: list[tuple[str, str, int]] = []
uploads: list[tuple[str, str, int, dict[str, str] | None]] = []
@contextmanager
def fake_create_archive(config_path: Path, config: dict) -> Iterator[tuple]:
timeline.append("create_archive")
yield ARCHIVE
def fake_upload(signed_url: str, file_path: str, file_size: int) -> None:
def fake_upload(
signed_url: str,
file_path: str,
file_size: int,
upload_headers: dict[str, str] | None,
) -> None:
timeline.append("upload_archive")
uploads.append((signed_url, file_path, file_size))
uploads.append((signed_url, file_path, file_size, upload_headers))
monkeypatch.setattr(deploy_module, "_no_input", False)
monkeypatch.setattr(deploy_module, "_emitter", None)
@@ -344,7 +355,7 @@ def deploy_project(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> DeployPro
)
monkeypatch.setattr(deploy_module.platform, "machine", lambda: "x86_64")
monkeypatch.setattr(archive_module, "create_archive", fake_create_archive)
monkeypatch.setattr(deploy_module, "_upload_to_gcs", fake_upload)
monkeypatch.setattr(deploy_module, "_upload_source_tarball", fake_upload)
return DeployProject(control_plane, docker, timeline, uploads)
@@ -703,6 +714,9 @@ def test_deployment_not_created_by_the_cli_gets_an_actionable_error(
def test_remote_build_creates_an_internal_source_deployment_and_uploads_the_archive(
deploy_project: DeployProject,
) -> None:
upload_headers = {"Content-Type": "application/gzip", "x-ms-blob-type": "BlockBlob"}
deploy_project.control_plane.upload_url_extra = {"upload_headers": upload_headers}
result = deploy_project.run("--remote", "--install-command", "yarn install")
assert result.exit_code == 0, result.output
@@ -717,7 +731,12 @@ def test_remote_build_creates_an_internal_source_deployment_and_uploads_the_arch
assert deploy_project.control_plane.bodies[CREATE_DEPLOYMENT]["source"] == (
"internal_source"
)
assert deploy_project.uploads == [(SIGNED_UPLOAD_URL, ARCHIVE[0], ARCHIVE[1])]
assert deploy_project.control_plane.bodies[_upload_url(CREATED_ID)] == {
"supports_upload_headers": True
}
assert deploy_project.uploads == [
(SIGNED_UPLOAD_URL, ARCHIVE[0], ARCHIVE[1], upload_headers)
]
assert deploy_project.control_plane.bodies[_patch(CREATED_ID)] == {
"revision_source": "internal_source",
"source_revision_config": {
@@ -1458,3 +1458,59 @@ class TestPlacementOnAKnownListener:
def test_refuses_and_names_the_namespaces(self, request_, listener, message):
with pytest.raises(click.UsageError, match=message):
request_.on(listener)
DEFAULT_UPLOAD_HEADERS = {
"content-type": "application/gzip",
"content-length": "7",
"x-goog-content-length-range": "0,209715200",
}
@pytest.mark.parametrize(
("upload_headers", "expected"),
[
pytest.param(None, DEFAULT_UPLOAD_HEADERS, id="missing_sends_defaults"),
pytest.param({}, DEFAULT_UPLOAD_HEADERS, id="empty_sends_defaults"),
pytest.param(
{
"content-type": "application/x-gzip",
"x-ms-blob-type": "BlockBlob",
"content-length": "1",
},
{
"content-type": "application/x-gzip",
"x-ms-blob-type": "BlockBlob",
"content-length": "7",
},
id="returned_headers_replace_defaults",
),
pytest.param(
{"x-ms-blob-type": "BlockBlob"},
{
"content-type": "application/gzip",
"x-ms-blob-type": "BlockBlob",
"content-length": "7",
},
id="returned_headers_keep_a_content_type",
),
],
)
def test_source_upload_sends_the_headers_the_signed_url_requires(
tmp_path, mocker, upload_headers, expected
):
archive = tmp_path / "source.tar.gz"
archive.write_bytes(b"tarball")
sent = []
mocker.patch(
"langgraph_cli.deploy._get_emitter", return_value=MagicMock(json_mode=True)
)
mocker.patch(
"urllib.request.urlopen", side_effect=lambda req, timeout: sent.append(req)
)
deploy_mod._upload_source_tarball(
"https://storage.example/signed", str(archive), 7, upload_headers
)
assert {name.lower(): value for name, value in sent[0].header_items()} == expected
+2 -2
View File
@@ -60,7 +60,7 @@ class DeltaChannel(Generic[Value], BaseChannel[Any, Any, Any]):
typ: The value type (e.g. `list`, `dict`). Inferred automatically
from the outer type when used inside `Annotated[T, DeltaChannel(...)]`.
snapshot_frequency: Every Nth update to this channel writes a snapshot
blob (default `1000`). Must be a positive int.
blob (default `100`). Must be a positive int.
"""
__slots__ = ("value", "reducer", "snapshot_frequency")
@@ -71,7 +71,7 @@ class DeltaChannel(Generic[Value], BaseChannel[Any, Any, Any]):
reducer: Callable[[Any, Sequence[Any]], Any],
typ: type[Value] | None = None,
*,
snapshot_frequency: int = 1000,
snapshot_frequency: int = 100,
) -> None:
if snapshot_frequency <= 0:
raise ValueError(
+38
View File
@@ -228,6 +228,12 @@ def draw_graph(
metadata["__interrupt"] = "before"
elif name in interrupt_after_nodes:
metadata["__interrupt"] = "after"
# Duck-typed so core doesn't import ToolNode from langgraph-prebuilt.
tools_by_name = getattr(node.bound, "tools_by_name", None)
if isinstance(tools_by_name, Mapping) and tools_by_name:
metadata["__tools"] = list(tools_by_name)
if subagents := _get_tool_subagents(tools_by_name):
metadata["__subagents"] = subagents
graph.add_node(node.bound, name, metadata=metadata or None)
# add start node
if START not in nodes:
@@ -277,6 +283,38 @@ def draw_graph(
return graph
def _get_tool_subagents(
tools_by_name: Mapping[str, Any],
) -> dict[str, list[dict[str, Any]]]:
"""Collect the subagents each tool can run, keyed by tool name."""
subagents: dict[str, list[dict[str, Any]]] = {}
for tool_name, tool in tools_by_name.items():
tool_subagents = getattr(tool, "subagents", None)
if (
isinstance(tool_subagents, Sequence)
and not isinstance(tool_subagents, str)
and tool_subagents
and all(
isinstance(subagent, Mapping) and isinstance(subagent.get("name"), str)
for subagent in tool_subagents
)
):
subagents[tool_name] = [
_subagent_entry(subagent) for subagent in tool_subagents
]
return subagents
def _subagent_entry(subagent: Mapping[str, Any]) -> dict[str, Any]:
"""Keep only the subagent fields graph viewers display."""
entry: dict[str, Any] = {"name": subagent["name"]}
if isinstance(description := subagent.get("description"), str):
entry["description"] = description
if subagent.get("forked") is True:
entry["forked"] = True
return entry
def add_edge(
graph: Graph,
source: str,
+10 -2
View File
@@ -3,6 +3,7 @@ from __future__ import annotations
import asyncio
import concurrent.futures
import time
import weakref
from collections.abc import Awaitable, Callable, Coroutine
from contextlib import AbstractAsyncContextManager, AbstractContextManager, ExitStack
from contextvars import copy_context
@@ -37,6 +38,13 @@ class Submit(Protocol[P, T]):
) -> concurrent.futures.Future[T]: ...
# Futures whose exception a node's error handler took over; the executors
# don't re-raise them on exit.
SKIP_RERAISE_SET: weakref.WeakSet[concurrent.futures.Future | asyncio.Future] = (
weakref.WeakSet()
)
class BackgroundExecutor(AbstractContextManager):
"""A context manager that runs sync tasks in the background.
Uses a thread pool executor to delegate tasks to separate threads.
@@ -111,7 +119,7 @@ class BackgroundExecutor(AbstractContextManager):
if exc_type is None:
# re-raise the first exception that occurred in a task
for task, (_, reraise) in tasks.items():
if not reraise:
if not reraise or task in SKIP_RERAISE_SET:
continue
try:
task.result()
@@ -202,7 +210,7 @@ class AsyncBackgroundExecutor(AbstractAsyncContextManager):
if exc_type is None:
# re-raise the first exception that occurred in a task
for task, (_, reraise) in tasks.items():
if not reraise:
if not reraise or task in SKIP_RERAISE_SET:
continue
try:
if exc := task.exception():
+9 -3
View File
@@ -34,6 +34,7 @@ from langgraph._internal._constants import (
CONFIG_KEY_THREAD_ID,
CONFIG_KEY_TIMED_ATTEMPT_OBSERVER,
NS_SEP,
RETURN,
)
from langgraph._internal._runnable import create_task_in_config_context
from langgraph._internal._timeout import sync_timeout_unsupported
@@ -733,15 +734,14 @@ async def arun_with_retry(
if stream:
async for _ in task.proc.astream(task.input, config):
pass
break
return _return_value(task)
return await task.proc.ainvoke(task.input, config)
result = await _arun_with_timeout(
task, config, resolved_timeout, attempt_ctx, stream=stream
)
_finish_timed_attempt(config, attempt_ctx)
if stream:
# if successful, end
break
return _return_value(task)
return result
except ParentCommand as exc:
ns: str = config[CONF][CONFIG_KEY_CHECKPOINT_NS]
@@ -831,6 +831,12 @@ async def arun_with_retry(
config = patch_configurable(config, {CONFIG_KEY_RESUMING: True})
def _return_value(task: PregelExecutableTask) -> Any:
# Streaming drains the task instead of returning its result, so a caller
# awaiting a `@task` needs the value the task wrote.
return next((value for channel, value in task.writes if channel == RETURN), None)
def _should_retry_on(retry_policy: RetryPolicy, exc: Exception) -> bool:
"""Check if the given exception should be retried based on the retry policy."""
if isinstance(retry_policy.retry_on, Sequence):
+5 -5
View File
@@ -43,7 +43,7 @@ from langgraph._internal._typing import MISSING
from langgraph.constants import TAG_HIDDEN
from langgraph.errors import GraphBubbleUp, GraphInterrupt, is_invalid_resume
from langgraph.pregel._algo import Call
from langgraph.pregel._executor import Submit
from langgraph.pregel._executor import SKIP_RERAISE_SET, Submit
from langgraph.pregel._retry import arun_with_retry, run_with_retry
from langgraph.pregel._task_status import CONTROL_WRITES
from langgraph.types import (
@@ -68,10 +68,6 @@ EXCLUDED_FRAME_FNAMES = (
"concurrent/futures/_base.py",
)
SKIP_RERAISE_SET: weakref.WeakSet[concurrent.futures.Future | asyncio.Future] = (
weakref.WeakSet()
)
class FuturesDict(Generic[F, E], dict[F, PregelExecutableTask | None]):
event: E
@@ -239,6 +235,8 @@ class PregelRunner:
fut.set_exception(exc)
futures.done.add(fut)
elif reraise and id(exc) not in self._handled_exception_ids:
# let the caller stream this task's result before it raises
yield
if tb := exc.__traceback__:
while tb.tb_next is not None and any(
tb.tb_frame.f_code.co_filename.endswith(name)
@@ -430,6 +428,8 @@ class PregelRunner:
fut.set_exception(exc)
futures.done.add(fut)
elif reraise and id(exc) not in self._handled_exception_ids:
# let the caller stream this task's result before it raises
yield
if tb := exc.__traceback__:
while tb.tb_next is not None and any(
tb.tb_frame.f_code.co_filename.endswith(name)
@@ -9,6 +9,7 @@ from langchain_core.callbacks import BaseCallbackHandler
from langgraph._internal._constants import NS_SEP
from langgraph.constants import TAG_NOSTREAM
from langgraph.errors import GraphDrained, GraphInterrupt
from langgraph.pregel.protocol import StreamChunk
try:
@@ -188,6 +189,10 @@ class StreamToolCallHandler(BaseCallbackHandler, _StreamingCallbackHandler):
return
ns, tool_call_id, token = info
self._reset_writer(token)
# An interrupted or drained tool is paused, not failed: it runs again
# on resume and reports its start and end then.
if isinstance(error, (GraphInterrupt, GraphDrained)):
return
self.stream(
(
ns,
+3 -1
View File
@@ -3310,7 +3310,9 @@ class Pregel(
True
for h in run_manager.handlers
if isinstance(h, _StreamingCallbackHandler)
and not isinstance(h, StreamMessagesHandler)
and not isinstance(
h, (StreamMessagesHandler, StreamToolCallHandler)
)
),
False,
)
+1 -1
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph"
version = "1.2.17"
version = "1.2.18"
description = "Building stateful, multi-actor applications with LLMs"
authors = []
requires-python = ">=3.10"
@@ -133,6 +133,11 @@
"ToolNode"
],
"name": "tools"
},
"metadata": {
"__tools": [
"search_api"
]
}
},
{
@@ -221,6 +226,11 @@
"ToolNode"
],
"name": "tools"
},
"metadata": {
"__tools": [
"search_api"
]
}
},
{
+21
View File
@@ -20,6 +20,7 @@ from langgraph.errors import EmptyChannelError, InvalidUpdateError
from langgraph.graph import START, StateGraph
from langgraph.graph.message import _messages_delta_reducer
from langgraph.graph.state import _get_channel
from langgraph.pregel._checkpoint import delta_channels_to_snapshot
from langgraph.types import Overwrite
pytestmark = pytest.mark.anyio
@@ -342,6 +343,26 @@ def test_delta_channel_checkpoint_returns_missing() -> None:
# ---------------------------------------------------------------------------
@pytest.mark.parametrize("frequency", [None, 50, 1000])
def test_delta_channel_snapshot_frequency(frequency: int | None) -> None:
spec = (
DeltaChannel(_messages_delta_reducer)
if frequency is None
else DeltaChannel(_messages_delta_reducer, snapshot_frequency=frequency)
)
expected = 100 if frequency is None else frequency
assert spec.snapshot_frequency == expected
channel = spec.from_checkpoint(MISSING)
channel.update([HumanMessage(content="hi", id="h1")])
assert channel.copy().snapshot_frequency == expected
for updates in (expected - 1, expected):
assert delta_channels_to_snapshot(
{"messages": channel},
{"messages": (updates, updates)},
{"messages": 1},
) == ({"messages"} if updates == expected else set())
def test_delta_channel_snapshot_version_based() -> None:
"""Snapshots fire when a channel accumulates `snapshot_frequency` updates.
+63 -1
View File
@@ -36,7 +36,7 @@ from langchain_core.runnables import (
RunnablePassthrough,
)
from langchain_core.runnables.graph import Edge
from langchain_core.tools import tool
from langchain_core.tools import StructuredTool, tool
from langchain_core.version import VERSION as LANGCHAIN_CORE_VERSION
from langgraph.cache.base import BaseCache
from langgraph.checkpoint.base import (
@@ -3105,6 +3105,49 @@ def test_simple_multi_edge(snapshot: SnapshotAssertion) -> None:
)
def test_tool_node_lists_tool_subagents_in_graph_metadata() -> None:
class TaskTool(StructuredTool):
subagents: list[dict[str, Any]] = []
def run_task(description: str, subagent_type: str) -> str:
return subagent_type
task = TaskTool.from_function(run_task, name="task", description="Run a subagent.")
task.subagents = [
{"name": "researcher", "description": "Researches a topic."},
{
"name": "critic",
"description": "Reviews drafts.",
"forked": True,
"system_prompt": "You are a critic.",
"runnable": object(),
},
{"name": "planner", "description": None, "forked": "yes"},
]
@tool
def search(query: str) -> str:
"""Search the web."""
return query
builder = StateGraph(MessagesState)
builder.add_node("agent", lambda state: state)
builder.add_node("tools", ToolNode([search, task]))
builder.add_edge(START, "agent")
builder.add_edge("agent", "tools")
graph = builder.compile().get_graph().to_json()
nodes = {node["id"]: node for node in graph["nodes"]}
assert nodes["tools"]["metadata"]["__subagents"] == {
"task": [
{"name": "researcher", "description": "Researches a topic."},
{"name": "critic", "description": "Reviews drafts.", "forked": True},
{"name": "planner"},
]
}
assert "__subagents" not in (nodes["agent"].get("metadata") or {})
def test_nested_graph_xray(snapshot: SnapshotAssertion) -> None:
class State(TypedDict):
my_key: Annotated[str, operator.add]
@@ -4346,6 +4389,25 @@ def test_enum_node_names():
assert graph.invoke({"foo": "hello"}) == {"foo": "hello", "bar": "hello!"}
@pytest.mark.parametrize("stream_mode", ["tasks", "debug"])
def test_failing_task_result_is_streamed_before_the_error(stream_mode: str) -> None:
class State(TypedDict):
x: str
def failing(state: State) -> State:
raise ValueError("boom")
graph = StateGraph(State).add_node("failing", failing).add_edge(START, "failing")
errors = []
with pytest.raises(ValueError, match="boom"):
for chunk in graph.compile().stream({"x": ""}, stream_mode=stream_mode):
payload = chunk["payload"] if stream_mode == "debug" else chunk
if "error" in payload:
errors.append(payload["error"])
assert [type(error) for error in errors] == [ValueError]
def test_debug_retry(sync_checkpointer: BaseCheckpointSaver):
class State(TypedDict):
messages: Annotated[list[str], operator.add]
+113
View File
@@ -5809,6 +5809,60 @@ async def test_store_injected_async(
) # still overwriting the same one
@pytest.mark.parametrize("stream_mode", ["tasks", "debug"])
async def test_failing_task_result_is_streamed_before_the_error(
stream_mode: str,
) -> None:
class State(TypedDict):
x: str
async def failing(state: State) -> State:
raise ValueError("boom")
graph = StateGraph(State).add_node("failing", failing).add_edge(START, "failing")
errors = []
with pytest.raises(ValueError, match="boom"):
async for chunk in graph.compile().astream({"x": ""}, stream_mode=stream_mode):
payload = chunk["payload"] if stream_mode == "debug" else chunk
if "error" in payload:
errors.append(payload["error"])
assert [type(error) for error in errors] == [ValueError]
@pytest.mark.parametrize(
("parallel", "stream_mode"), [(False, "custom"), (True, "values")]
)
async def test_graph_error_handler_recovers_on_the_executor_path(
parallel: bool, stream_mode: str
) -> None:
class State(TypedDict):
x: str
async def failing(state: State) -> State:
raise ValueError("boom")
async def handler(state: State) -> Command:
return Command(update={"x": "handled"}, goto=END)
builder = (
StateGraph(State)
.add_node("failing", failing, error_handler=handler)
.add_edge(START, "failing")
)
if parallel:
builder.add_node("sibling", lambda state: {}).add_edge(START, "sibling")
chunks = [
chunk
async for chunk in builder.compile().astream(
{"x": ""}, stream_mode=[stream_mode, "values"]
)
]
assert [c[-1] for c in chunks if c[0] == "values"][-1] == {"x": "handled"}
async def test_debug_retry(async_checkpointer: BaseCheckpointSaver):
class State(TypedDict):
messages: Annotated[list[str], operator.add]
@@ -6780,6 +6834,31 @@ async def test_multiple_updates() -> None:
]
@NEEDS_CONTEXTVARS
async def test_task_in_subgraph_node_returns_its_value_with_tools_mode() -> None:
class State(TypedDict):
out: int | None
@task
async def double(x: int) -> int:
return x * 2
async def node(state: State) -> State:
return {"out": await double(21)}
inner = StateGraph(State).add_node("node", node).add_edge(START, "node").compile()
graph = (
StateGraph(State).add_node("inner", inner).add_edge(START, "inner").compile()
)
chunks = [
chunk
async for chunk in graph.astream({"out": None}, stream_mode=["values", "tools"])
]
assert chunks[-1] == ("values", {"out": 42})
@NEEDS_CONTEXTVARS
async def test_falsy_return_from_task(async_checkpointer: BaseCheckpointSaver) -> None:
"""Test with a falsy return from a task."""
@@ -7544,6 +7623,40 @@ async def test_entrypoint_from_async_generator() -> None:
yield "b"
@NEEDS_CONTEXTVARS
@pytest.mark.parametrize("timeout", [None, 30])
@pytest.mark.parametrize("version", ["v1", "v2"])
async def test_awaited_task_returns_its_value_under_astream_events(
version: Literal["v1", "v2"], timeout: int | None
) -> None:
class State(TypedDict):
doubled: int
zeroed: int
@task(timeout=timeout)
async def double(x: int) -> int:
return x * 2
@task(timeout=timeout)
async def zero() -> int:
return 0
async def node(state: State) -> State:
return {"doubled": await double(21), "zeroed": await zero()}
graph = StateGraph(State).add_node("node", node).add_edge(START, "node").compile()
outputs = [
event["data"]["output"]
async for event in graph.astream_events(
{"doubled": 0, "zeroed": 1}, version=version
)
if event["event"] == "on_chain_end" and event["name"] == "node"
]
assert outputs == [{"doubled": 42, "zeroed": 0}]
@NEEDS_CONTEXTVARS
async def test_named_tasks_functional() -> None:
class Foo:
+41
View File
@@ -2097,6 +2097,47 @@ def test_graph_error_handler_can_route_with_command():
assert result["foo"] == "handled_next"
# Each case runs the failing node on the executor path instead of the
# single-task fast path.
@pytest.mark.parametrize(
("parallel", "stream_mode", "subgraphs"),
[
(False, "custom", False),
(False, "messages", False),
(False, "values", True),
(True, "values", False),
],
)
def test_graph_error_handler_recovers_on_the_executor_path(
parallel: bool, stream_mode: str, subgraphs: bool
) -> None:
class State(TypedDict):
x: str
def failing(state: State) -> State:
raise ValueError("boom")
def handler(state: State) -> Command:
return Command(update={"x": "handled"}, goto=END)
builder = (
StateGraph(State)
.add_node("failing", failing, error_handler=handler)
.add_edge(START, "failing")
)
if parallel:
builder.add_node("sibling", lambda state: {}).add_edge(START, "sibling")
graph = builder.compile()
chunks = list(
graph.stream(
{"x": ""}, stream_mode=[stream_mode, "values"], subgraphs=subgraphs
)
)
assert [c[-1] for c in chunks if c[-2] == "values"][-1] == {"x": "handled"}
def test_graph_error_handler_failure_fails_run():
class State(TypedDict):
foo: str
@@ -13,13 +13,17 @@ from typing import Annotated, Any
import pytest
from langchain_core.messages import AIMessage
from langchain_core.tools import tool
from langgraph.checkpoint.memory import InMemorySaver
from langgraph.prebuilt import ToolNode, ToolRuntime
from typing_extensions import TypedDict
from langgraph.constants import END, START
from langgraph.errors import GraphDrained
from langgraph.graph import StateGraph
from langgraph.graph.message import add_messages
from langgraph.pregel._tools import _tool_call_writer
from langgraph.runtime import RunControl
from langgraph.types import Command, interrupt
class _State(TypedDict):
@@ -54,14 +58,14 @@ def _caller_async(tool_name: str, tool_args: dict[str, Any], tc_id: str = "tc1")
return caller
def _build_graph(caller, tools) -> Any:
def _build_graph(caller, tools, checkpointer=None) -> Any:
sg = StateGraph(_State)
sg.add_node("caller", caller)
sg.add_node("tools", ToolNode(tools))
sg.add_edge(START, "caller")
sg.add_edge("caller", "tools")
sg.add_edge("tools", END)
return sg.compile()
return sg.compile(checkpointer=checkpointer)
def _tool_events(stream) -> list[tuple[tuple[str, ...], dict]]:
@@ -146,6 +150,105 @@ class TestSyncGraphSyncTool:
assert kinds == ["tool-started", "tool-error"]
assert events[1][1]["message"] == "nope"
def test_interrupt_in_tool_is_not_a_tool_error(self) -> None:
@tool
def ask() -> str:
"""asks."""
return interrupt("ok?")
graph = _build_graph(_caller_sync("ask", {}), [ask], InMemorySaver())
config = {"configurable": {"thread_id": "1"}}
paused = _tool_events(
graph.stream(
{"messages": []}, config, stream_mode=["tools"], subgraphs=True
)
)
resumed = _tool_events(
graph.stream(
Command(resume="yes"), config, stream_mode=["tools"], subgraphs=True
)
)
assert [p["event"] for _, p in paused] == ["tool-started"]
assert [(p["event"], p["tool_call_id"]) for _, p in resumed] == [
("tool-started", "tc1"),
("tool-finished", "tc1"),
]
def test_tool_handing_off_to_the_parent_still_ends_its_call(self) -> None:
class State(TypedDict):
messages: Annotated[list, add_messages]
done: bool
def hand_off(state: State) -> Command:
return Command(graph=Command.PARENT, goto="finish", update={"done": True})
inner = StateGraph(State).add_node("hand_off", hand_off)
inner = inner.add_edge(START, "hand_off").compile()
@tool
def handoff() -> str:
"""hands off."""
inner.invoke({"messages": [], "done": False})
return "unreachable"
graph = (
StateGraph(State)
.add_node("caller", _caller_sync("handoff", {}))
.add_node("tools", ToolNode([handoff]))
.add_node("finish", lambda state: {"done": True})
.add_edge(START, "caller")
.add_edge("caller", "tools")
.add_edge("tools", END)
.add_edge("finish", END)
.compile()
)
events = [
payload["event"]
for _, payload in _tool_events(
graph.stream(
{"messages": [], "done": False},
stream_mode=["tools"],
subgraphs=True,
)
)
]
assert events[0] == "tool-started"
assert events[-1] == "tool-error", events
def test_drained_tool_is_not_a_tool_error(self) -> None:
control = RunControl()
def request_drain(state: _State) -> dict:
control.request_drain()
return {}
inner = (
StateGraph(_State)
.add_node("request_drain", request_drain)
.add_node("after", lambda state: {})
.add_edge(START, "request_drain")
.add_edge("request_drain", "after")
.compile()
)
@tool
def drained() -> str:
"""drains."""
inner.invoke({"messages": []}, control=control)
return "unreachable"
graph = _build_graph(_caller_sync("drained", {}), [drained])
chunks: list = []
with pytest.raises(GraphDrained):
for chunk in graph.stream(
{"messages": []}, stream_mode=["tools"], subgraphs=True
):
chunks.append(chunk)
assert [p["event"] for _, p in _tool_events(chunks)] == ["tool-started"]
def test_writer_unset_outside_tool(self) -> None:
# Outside any tool body the ContextVar that ToolRuntime reads
# is unset — emitting from there would be a no-op.
@@ -196,6 +299,25 @@ class TestAsyncGraphAsyncTool:
assert kinds == ["tool-started", "tool-output-delta", "tool-finished"]
assert events[1][1]["delta"] == "hi"
@pytest.mark.anyio
async def test_interrupt_in_async_tool_is_not_a_tool_error(self) -> None:
@tool
async def aask() -> str:
"""asks."""
return interrupt("ok?")
graph = _build_graph(_caller_async("aask", {}), [aask], InMemorySaver())
config = {"configurable": {"thread_id": "1"}}
events = []
for graph_input in ({"messages": []}, Command(resume="yes")):
async for ns, mode, payload in graph.astream(
graph_input, config, stream_mode=["tools"], subgraphs=True
):
if mode == "tools":
events.append(payload["event"])
assert events == ["tool-started", "tool-started", "tool-finished"]
class TestConcurrentToolCalls:
def test_parallel_tool_calls_do_not_bleed(self) -> None:
+2 -2
View File
@@ -1439,7 +1439,7 @@ wheels = [
[[package]]
name = "langgraph"
version = "1.2.17"
version = "1.2.18"
source = { editable = "." }
dependencies = [
{ name = "langchain-core" },
@@ -1625,7 +1625,7 @@ wheels = [
[[package]]
name = "langgraph-checkpoint"
version = "4.3.0"
version = "4.3.1"
source = { editable = "../checkpoint" }
dependencies = [
{ name = "langchain-core" },
+2 -2
View File
@@ -286,7 +286,7 @@ wheels = [
[[package]]
name = "langgraph"
version = "1.2.17"
version = "1.2.18"
source = { editable = "../langgraph" }
dependencies = [
{ name = "langchain-core" },
@@ -370,7 +370,7 @@ test = [
[[package]]
name = "langgraph-checkpoint"
version = "4.3.0"
version = "4.3.1"
source = { editable = "../checkpoint" }
dependencies = [
{ name = "langchain-core" },
+1 -1
View File
@@ -5,7 +5,7 @@ from langgraph_sdk.encryption.types import DecryptResult, EncryptionContext
from langgraph_sdk.priority import Priority
from langgraph_sdk.priority.types import PriorityContext, PrioritySettings
__version__ = "0.4.9"
__version__ = "0.4.10"
__all__ = [
"Auth",
+6
View File
@@ -217,6 +217,12 @@ class HttpClient:
current_headers = dict(
request_headers if reconnect_path is None else reconnect_headers
)
if last_event_id is not None:
current_headers = {
key: value
for key, value in current_headers.items()
if key.lower() != "last-event-id"
}
if last_event_id:
current_headers["Last-Event-ID"] = last_event_id
+6
View File
@@ -219,6 +219,12 @@ class SyncHttpClient:
current_headers = dict(
request_headers if reconnect_path is None else reconnect_headers
)
if last_event_id is not None:
current_headers = {
key: value
for key, value in current_headers.items()
if key.lower() != "last-event-id"
}
if last_event_id:
current_headers["Last-Event-ID"] = last_event_id
+1 -1
View File
@@ -104,7 +104,7 @@ class SSEDecoder:
if (
not self._event
and not self._data
and not self._last_event_id
and self._last_event_id is None
and self._retry is None
):
return None
+84 -15
View File
@@ -312,18 +312,14 @@ async def test_http_client_stream_recovers_after_disconnect():
]
def _drop_after_an_empty_id(stream_cls: type, reconnects: list[httpx.Request]):
def _drop_after(chunks: list[bytes], stream_cls: type, reconnects: list[httpx.Request]):
def handler(request: httpx.Request) -> httpx.Response:
if request.method == "POST":
return httpx.Response(
200,
headers={"Content-Type": "text/event-stream", "Location": "/reconnect"},
stream=stream_cls(
[
b"id: 1\nevent: values\ndata: 1\n\n",
b"id:\nevent: values\ndata: 2\n\n",
],
httpx.RemoteProtocolError("incomplete chunked read"),
chunks, httpx.RemoteProtocolError("incomplete chunked read")
),
)
reconnects.append(request)
@@ -336,26 +332,99 @@ def _drop_after_an_empty_id(stream_cls: type, reconnects: list[httpx.Request]):
return handler
def test_sync_stream_reconnects_without_a_cursor_after_an_empty_id():
def _sync_reconnect(
chunks: list[bytes], headers: dict[str, str] | None
) -> httpx.Request:
reconnects: list[httpx.Request] = []
transport = httpx.MockTransport(_drop_after_an_empty_id(ListByteStream, reconnects))
transport = httpx.MockTransport(_drop_after(chunks, ListByteStream, reconnects))
with httpx.Client(transport=transport, base_url="https://example.com") as client:
list(SyncHttpClient(client).stream("/stream", "POST", json={}))
assert "last-event-id" not in reconnects[0].headers
list(SyncHttpClient(client).stream("/stream", "POST", json={}, headers=headers))
return reconnects[0]
async def test_async_stream_reconnects_without_a_cursor_after_an_empty_id():
async def _async_reconnect(
chunks: list[bytes], headers: dict[str, str] | None
) -> httpx.Request:
reconnects: list[httpx.Request] = []
transport = httpx.MockTransport(
_drop_after_an_empty_id(AsyncListByteStream, reconnects)
_drop_after(chunks, AsyncListByteStream, reconnects)
)
async with httpx.AsyncClient(
transport=transport, base_url="https://example.com"
) as client:
[part async for part in HttpClient(client).stream("/stream", "POST", json={})]
[
part
async for part in HttpClient(client).stream(
"/stream", "POST", json={}, headers=headers
)
]
return reconnects[0]
assert "last-event-id" not in reconnects[0].headers
_EMPTY_IDS = pytest.mark.parametrize(
"empty_id",
[b"id:\nevent: values\ndata: 2\n\n", b"id:\n\n"],
ids=["with-an-event", "alone"],
)
_CALLER_CURSORS = pytest.mark.parametrize(
"headers",
[None, {"Last-Event-ID": "5"}, {"last-event-id": "5"}],
ids=["no-caller-cursor", "caller-cursor", "lowercase-caller-cursor"],
)
@_EMPTY_IDS
@_CALLER_CURSORS
def test_sync_stream_reconnects_without_a_cursor_after_an_empty_id(
empty_id: bytes, headers: dict[str, str] | None
):
reconnect = _sync_reconnect(
[b"id: 1\nevent: values\ndata: 1\n\n", empty_id], headers
)
assert "last-event-id" not in reconnect.headers
@_EMPTY_IDS
@_CALLER_CURSORS
async def test_async_stream_reconnects_without_a_cursor_after_an_empty_id(
empty_id: bytes, headers: dict[str, str] | None
):
reconnect = await _async_reconnect(
[b"id: 1\nevent: values\ndata: 1\n\n", empty_id], headers
)
assert "last-event-id" not in reconnect.headers
def test_sync_stream_id_replaces_a_lowercase_caller_cursor():
reconnect = _sync_reconnect(
[b"id: 1\nevent: values\ndata: 1\n\n"], {"last-event-id": "5"}
)
assert reconnect.headers.get_list("last-event-id") == ["1"]
async def test_async_stream_id_replaces_a_lowercase_caller_cursor():
reconnect = await _async_reconnect(
[b"id: 1\nevent: values\ndata: 1\n\n"], {"last-event-id": "5"}
)
assert reconnect.headers.get_list("last-event-id") == ["1"]
def test_sync_stream_keeps_the_caller_cursor_until_the_stream_sends_an_id():
reconnect = _sync_reconnect([b"event: values\ndata: 1\n\n"], {"Last-Event-ID": "5"})
assert reconnect.headers.get_list("last-event-id") == ["5"]
async def test_async_stream_keeps_the_caller_cursor_until_the_stream_sends_an_id():
reconnect = await _async_reconnect(
[b"event: values\ndata: 1\n\n"], {"Last-Event-ID": "5"}
)
assert reconnect.headers.get_list("last-event-id") == ["5"]
# --- _sse_to_v2_dict conversion ---
+2 -2
View File
@@ -301,7 +301,7 @@ wheels = [
[[package]]
name = "langgraph"
version = "1.2.17"
version = "1.2.18"
source = { editable = "../langgraph" }
dependencies = [
{ name = "langchain-core" },
@@ -385,7 +385,7 @@ test = [
[[package]]
name = "langgraph-checkpoint"
version = "4.3.0"
version = "4.3.1"
source = { editable = "../checkpoint" }
dependencies = [
{ name = "langchain-core" },