mirror of
https://github.com/langchain-ai/langgraph.git
synced 2026-08-19 22:25:44 +02:00
Compare commits
20
Commits
| Author | SHA1 | Date | |
|---|---|---|---|
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125d10052c | ||
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0a53c385b2 | ||
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35cea28707 | ||
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3fff7bc928 | ||
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a0c4bdc3cb | ||
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0d0324ad3a | ||
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8593efe0ad | ||
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402d767229 | ||
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95541cbf08 | ||
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30a1251dcc | ||
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1a80cb3eab | ||
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60135677dd | ||
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4e833ceabe | ||
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aa2a370fe4 | ||
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67cd5b7718 | ||
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b82d380634 | ||
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afdfbd55da | ||
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15113c0f60 | ||
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85bca24635 | ||
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f2bd3224f0 |
@@ -33,7 +33,7 @@ jobs:
|
||||
cache-suffix: test-${{ inputs.working-directory }}
|
||||
working-directory: ${{ inputs.working-directory }}
|
||||
- name: Login to Docker Hub
|
||||
uses: docker/login-action@b45d80f862d83dbcd57f89517bcf500b2ab88fb2 # v4
|
||||
uses: docker/login-action@4907a6ddec9925e35a0a9e82d7399ccc52663121 # v4
|
||||
if: ${{ !github.event.pull_request.head.repo.fork }}
|
||||
with:
|
||||
username: ${{ secrets.DOCKERHUB_USERNAME }}
|
||||
|
||||
@@ -31,7 +31,7 @@ jobs:
|
||||
cache-suffix: "test-langgraph"
|
||||
working-directory: libs/langgraph
|
||||
- name: Login to Docker Hub
|
||||
uses: docker/login-action@b45d80f862d83dbcd57f89517bcf500b2ab88fb2 # v4
|
||||
uses: docker/login-action@4907a6ddec9925e35a0a9e82d7399ccc52663121 # v4
|
||||
if: ${{ !github.event.pull_request.head.repo.fork }}
|
||||
with:
|
||||
username: ${{ secrets.DOCKERHUB_USERNAME }}
|
||||
|
||||
@@ -82,7 +82,7 @@ jobs:
|
||||
path: ${{ inputs.working-directory }}/dist/
|
||||
|
||||
- name: Publish to test PyPI
|
||||
uses: pypa/gh-action-pypi-publish@ed0c53931b1dc9bd32cbe73a98c7f6766f8a527e # release/v1
|
||||
uses: pypa/gh-action-pypi-publish@cef221092ed1bacb1cc03d23a2d87d1d172e277b # release/v1
|
||||
with:
|
||||
packages-dir: ${{ inputs.working-directory }}/dist/
|
||||
verbose: true
|
||||
|
||||
@@ -57,7 +57,7 @@ jobs:
|
||||
echo EOF
|
||||
} >> "$GITHUB_OUTPUT"
|
||||
- name: Annotation
|
||||
uses: actions/github-script@v8
|
||||
uses: actions/github-script@v9
|
||||
with:
|
||||
script: |
|
||||
const file = JSON.parse(`${{ steps.files.outputs.added_modified_renamed }}`)[0]
|
||||
|
||||
@@ -40,7 +40,7 @@ jobs:
|
||||
uses: actions/configure-pages@v6
|
||||
|
||||
- name: Upload artifact
|
||||
uses: actions/upload-pages-artifact@v4
|
||||
uses: actions/upload-pages-artifact@v5
|
||||
with:
|
||||
path: 'docs/_site'
|
||||
|
||||
|
||||
@@ -276,7 +276,7 @@ jobs:
|
||||
path: ${{ inputs.working-directory }}/dist/
|
||||
|
||||
- name: Publish package distributions to PyPI
|
||||
uses: pypa/gh-action-pypi-publish@ed0c53931b1dc9bd32cbe73a98c7f6766f8a527e # release/v1
|
||||
uses: pypa/gh-action-pypi-publish@cef221092ed1bacb1cc03d23a2d87d1d172e277b # release/v1
|
||||
with:
|
||||
packages-dir: ${{ inputs.working-directory }}/dist/
|
||||
verbose: true
|
||||
|
||||
@@ -26,7 +26,7 @@ jobs:
|
||||
|
||||
steps:
|
||||
- name: Find and reopen matching PRs
|
||||
uses: actions/github-script@v8
|
||||
uses: actions/github-script@v9
|
||||
with:
|
||||
script: |
|
||||
const { owner, repo } = context.repo;
|
||||
|
||||
@@ -50,7 +50,7 @@ jobs:
|
||||
steps:
|
||||
- name: Check for issue link and assignee
|
||||
id: check-link
|
||||
uses: actions/github-script@v8
|
||||
uses: actions/github-script@v9
|
||||
with:
|
||||
script: |
|
||||
const { owner, repo } = context.repo;
|
||||
@@ -283,7 +283,7 @@ jobs:
|
||||
if: >-
|
||||
env.ENFORCE_ISSUE_LINK == 'true' &&
|
||||
(steps.check-link.outputs.has-link != 'true' || steps.check-link.outputs.is-assigned != 'true')
|
||||
uses: actions/github-script@v8
|
||||
uses: actions/github-script@v9
|
||||
with:
|
||||
script: |
|
||||
const { owner, repo } = context.repo;
|
||||
@@ -312,7 +312,7 @@ jobs:
|
||||
if: >-
|
||||
env.ENFORCE_ISSUE_LINK == 'true' &&
|
||||
steps.check-link.outputs.has-link == 'true' && steps.check-link.outputs.is-assigned == 'true'
|
||||
uses: actions/github-script@v8
|
||||
uses: actions/github-script@v9
|
||||
with:
|
||||
script: |
|
||||
const { owner, repo } = context.repo;
|
||||
@@ -366,7 +366,7 @@ jobs:
|
||||
if: >-
|
||||
env.ENFORCE_ISSUE_LINK == 'true' &&
|
||||
(steps.check-link.outputs.has-link != 'true' || steps.check-link.outputs.is-assigned != 'true')
|
||||
uses: actions/github-script@v8
|
||||
uses: actions/github-script@v9
|
||||
with:
|
||||
script: |
|
||||
const { owner, repo } = context.repo;
|
||||
|
||||
@@ -63,7 +63,7 @@ jobs:
|
||||
- name: Check if contributor is external
|
||||
if: steps.app-token.outcome == 'success'
|
||||
id: check-membership
|
||||
uses: actions/github-script@v8
|
||||
uses: actions/github-script@v9
|
||||
with:
|
||||
github-token: ${{ steps.app-token.outputs.token }}
|
||||
script: |
|
||||
@@ -102,7 +102,7 @@ jobs:
|
||||
|
||||
- name: Apply contributor tier label
|
||||
if: steps.check-membership.outputs.is-external == 'true'
|
||||
uses: actions/github-script@v8
|
||||
uses: actions/github-script@v9
|
||||
with:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
script: |
|
||||
@@ -155,7 +155,7 @@ jobs:
|
||||
|
||||
- name: Add external label
|
||||
if: steps.check-membership.outputs.is-external == 'true'
|
||||
uses: actions/github-script@v8
|
||||
uses: actions/github-script@v9
|
||||
with:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
script: |
|
||||
@@ -168,7 +168,7 @@ jobs:
|
||||
|
||||
- name: Add internal label
|
||||
if: steps.check-membership.outputs.is-external == 'false'
|
||||
uses: actions/github-script@v8
|
||||
uses: actions/github-script@v9
|
||||
with:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
script: |
|
||||
@@ -196,7 +196,7 @@ jobs:
|
||||
private-key: ${{ secrets.ORG_MEMBERSHIP_APP_PRIVATE_KEY }}
|
||||
|
||||
- name: Backfill labels
|
||||
uses: actions/github-script@v8
|
||||
uses: actions/github-script@v9
|
||||
with:
|
||||
github-token: ${{ steps.app-token.outputs.token }}
|
||||
script: |
|
||||
|
||||
@@ -48,7 +48,7 @@ jobs:
|
||||
- name: Check if contributor is external
|
||||
if: steps.app-token.outcome == 'success'
|
||||
id: check-membership
|
||||
uses: actions/github-script@v8
|
||||
uses: actions/github-script@v9
|
||||
with:
|
||||
github-token: ${{ steps.app-token.outputs.token }}
|
||||
script: |
|
||||
@@ -90,7 +90,7 @@ jobs:
|
||||
# event fires and triggers require_issue_link.yml.
|
||||
- name: Apply contributor tier label
|
||||
if: steps.check-membership.outputs.is-external == 'true'
|
||||
uses: actions/github-script@v8
|
||||
uses: actions/github-script@v9
|
||||
with:
|
||||
# Use App token so the "labeled" event propagates to downstream
|
||||
# workflows (e.g. require_issue_link.yml).
|
||||
@@ -145,7 +145,7 @@ jobs:
|
||||
|
||||
- name: Add external label
|
||||
if: steps.check-membership.outputs.is-external == 'true'
|
||||
uses: actions/github-script@v8
|
||||
uses: actions/github-script@v9
|
||||
with:
|
||||
# Use App token so the "labeled" event propagates to downstream
|
||||
# workflows (e.g. require_issue_link.yml). Events created by the
|
||||
@@ -161,7 +161,7 @@ jobs:
|
||||
|
||||
- name: Add internal label
|
||||
if: steps.check-membership.outputs.is-external == 'false'
|
||||
uses: actions/github-script@v8
|
||||
uses: actions/github-script@v9
|
||||
with:
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
script: |
|
||||
|
||||
@@ -28,7 +28,7 @@ jobs:
|
||||
run: make lock-upgrade
|
||||
|
||||
- name: Create Pull Request
|
||||
uses: peter-evans/create-pull-request@c0f553fe549906ede9cf27b5156039d195d2ece0 # v8
|
||||
uses: peter-evans/create-pull-request@5f6978faf089d4d20b00c7766989d076bb2fc7f1 # v8
|
||||
with:
|
||||
token: ${{ secrets.GITHUB_TOKEN }}
|
||||
commit-message: "chore(deps): upgrade dependencies with `uv lock --upgrade`"
|
||||
|
||||
Generated
+40
-40
@@ -250,15 +250,15 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-checkpoint"
|
||||
version = "4.0.1"
|
||||
version = "4.0.3"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
{ name = "ormsgpack" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/b1/44/a8df45d1e8b4637e29789fa8bae1db022c953cc7ac80093cfc52e923547e/langgraph_checkpoint-4.0.1.tar.gz", hash = "sha256:b433123735df11ade28829e40ce25b9be614930cd50245ff2af60629234befd9", size = 158135, upload-time = "2026-02-27T21:06:16.092Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/7c/e1/885e49cdafceb4c74dae4573bc5dd6054c6c640382ee73104532f33dca46/langgraph_checkpoint-4.0.3.tar.gz", hash = "sha256:a7b5e2ca18fb79b55edf19396d4ee446f8a53dcb7a4ec62ce6f1c7e00bb5af7f", size = 174009, upload-time = "2026-04-27T14:34:02.777Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/65/4c/09a4a0c42f5d2fc38d6c4d67884788eff7fd2cfdf367fdf7033de908b4c0/langgraph_checkpoint-4.0.1-py3-none-any.whl", hash = "sha256:e3adcd7a0e0166f3b48b8cf508ce0ea366e7420b5a73aa81289888727769b034", size = 50453, upload-time = "2026-02-27T21:06:14.293Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/19/ee/ecd3fa2e893746dde3b768daca2a4935208bc77d09445437ccfffb4a8c9b/langgraph_checkpoint-4.0.3-py3-none-any.whl", hash = "sha256:b91b765712a2311a5b198760f714b7ab9b376d01c047ed78d9b9a3e80df802a3", size = 51682, upload-time = "2026-04-27T14:34:01.51Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -746,27 +746,27 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "ruff"
|
||||
version = "0.15.8"
|
||||
version = "0.15.12"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/14/b0/73cf7550861e2b4824950b8b52eebdcc5adc792a00c514406556c5b80817/ruff-0.15.8.tar.gz", hash = "sha256:995f11f63597ee362130d1d5a327a87cb6f3f5eae3094c620bcc632329a4d26e", size = 4610921, upload-time = "2026-03-26T18:39:38.675Z" }
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||||
sdist = { url = "https://files.pythonhosted.org/packages/99/43/3291f1cc9106f4c63bdce7a8d0df5047fe8422a75b091c16b5e9355e0b11/ruff-0.15.12.tar.gz", hash = "sha256:ecea26adb26b4232c0c2ca19ccbc0083a68344180bba2a600605538ce51a40a6", size = 4643852, upload-time = "2026-04-24T18:17:14.305Z" }
|
||||
wheels = [
|
||||
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||||
{ url = "https://files.pythonhosted.org/packages/eb/92/f1c662784d149ad1414cae450b082cf736430c12ca78367f20f5ed569d65/ruff-0.15.8-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:d3e3d0b6ba8dca1b7ef9ab80a28e840a20070c4b62e56d675c24f366ef330570", size = 10905693, upload-time = "2026-03-26T18:39:30.364Z" },
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{ url = "https://files.pythonhosted.org/packages/ca/f2/7a631a8af6d88bcef997eb1bf87cc3da158294c57044aafd3e17030613de/ruff-0.15.8-py3-none-macosx_11_0_arm64.whl", hash = "sha256:6ee3ae5c65a42f273f126686353f2e08ff29927b7b7e203b711514370d500de3", size = 10323044, upload-time = "2026-03-26T18:39:33.37Z" },
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{ url = "https://files.pythonhosted.org/packages/13/89/c8e9531f7aa4a093359e15fa32c8e1277fbbe90d16894d7c6032d29f4b34/ty-0.0.33-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:aeec29c91ea768601747da546c3efc20b72c2fb1bd52bcc786a5c6eeff51d27b", size = 10834987, upload-time = "2026-04-28T10:45:40.738Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/31/16/9835fbcf5338af1a1917bd28fdb8a7193c210b83f243aa286fa9f79cb3ad/ty-0.0.33-py3-none-musllinux_1_2_i686.whl", hash = "sha256:a535977c52bbb5f7e96b8b70a6ad375ad077f4a9ff2492508ea3816a2b403819", size = 10968968, upload-time = "2026-04-28T10:45:30.26Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/36/69/64c76aabc1bc70c7f24b686cd93c3407f8ea430905e395f59bf9603ef571/ty-0.0.33-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:1d732facf39fcb221ba279d469c5040d37883e964f123b1563888efd34818180", size = 11458077, upload-time = "2026-04-28T10:45:45.971Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/91/84/fae27b0c4718776a298690d31ca4cc1995f2e3e1c63a7b59e84c41498e9a/ty-0.0.33-py3-none-win32.whl", hash = "sha256:d90960b574428dc252f85e8598ec5fcb7f619794196b2fc95a90da075ed4681c", size = 10345364, upload-time = "2026-04-28T10:45:16.836Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/3c/a0/a2938b23ae3e1a09a2d7c189e2ac5f7113676bae4e0e23948b568e18e5f8/ty-0.0.33-py3-none-win_amd64.whl", hash = "sha256:c1c3aec62c44de610c6e95f0a4e97ac3dbc07934bfdbf1fd90d758c9ff72f48e", size = 11342470, upload-time = "2026-04-28T10:45:26.455Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/ab/62/7fb948aace38d2f6329261bb33c035a8484549c74f1db28649c7a4c6fed9/ty-0.0.33-py3-none-win_arm64.whl", hash = "sha256:0d44f99ba1b441e55e2aa301b2ac0a21112784931b46a5f66f4ea9efe5620d97", size = 10742673, upload-time = "2026-04-28T10:45:35.555Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
||||
@@ -2,19 +2,18 @@ from __future__ import annotations
|
||||
|
||||
import threading
|
||||
from collections import defaultdict
|
||||
from collections.abc import Iterator, Sequence
|
||||
from collections.abc import Iterator, Mapping, Sequence
|
||||
from contextlib import contextmanager
|
||||
from typing import Any, cast
|
||||
|
||||
from langchain_core.runnables import RunnableConfig
|
||||
from langgraph.checkpoint.base import (
|
||||
DELTA_SENTINEL,
|
||||
WRITES_IDX_MAP,
|
||||
ChannelVersions,
|
||||
Checkpoint,
|
||||
CheckpointMetadata,
|
||||
CheckpointTuple,
|
||||
_ChannelWritesHistory,
|
||||
DeltaChannelHistory,
|
||||
get_checkpoint_id,
|
||||
get_serializable_checkpoint_metadata,
|
||||
)
|
||||
@@ -27,10 +26,10 @@ from psycopg_pool import ConnectionPool
|
||||
|
||||
from langgraph.checkpoint.postgres import _internal
|
||||
from langgraph.checkpoint.postgres.base import (
|
||||
SELECT_DELTA_STAGE1_SQL,
|
||||
SELECT_DELTA_STAGE2_SQL,
|
||||
_DELTA_PAGE_SIZE,
|
||||
BasePostgresSaver,
|
||||
_DeltaStage1Row,
|
||||
_build_delta_stage1_sql,
|
||||
_build_delta_stage2_sql,
|
||||
_DeltaStage2Row,
|
||||
)
|
||||
from langgraph.checkpoint.postgres.shallow import ShallowPostgresSaver
|
||||
@@ -311,9 +310,7 @@ class PostgresSaver(BasePostgresSaver):
|
||||
# others are stored in blobs table
|
||||
blob_values = {}
|
||||
for k, v in checkpoint["channel_values"].items():
|
||||
if v is DELTA_SENTINEL:
|
||||
copy["channel_values"].pop(k)
|
||||
elif isinstance(v, _DeltaSnapshot):
|
||||
if isinstance(v, _DeltaSnapshot):
|
||||
blob_values[k] = copy["channel_values"].pop(k)
|
||||
copy["channel_values"][k] = True
|
||||
elif v is None or isinstance(v, (str, int, float, bool)):
|
||||
@@ -444,53 +441,111 @@ class PostgresSaver(BasePostgresSaver):
|
||||
with conn.cursor(binary=True, row_factory=dict_row) as cur:
|
||||
yield cur
|
||||
|
||||
def _get_channel_writes_history(
|
||||
self, config: RunnableConfig, channel: str
|
||||
) -> _ChannelWritesHistory:
|
||||
"""Fast-path override of `BaseCheckpointSaver._get_channel_writes_history`.
|
||||
def get_delta_channel_history(
|
||||
self, *, config: RunnableConfig, channels: Sequence[str]
|
||||
) -> Mapping[str, DeltaChannelHistory]:
|
||||
"""Fast-path override of `BaseCheckpointSaver.get_delta_channel_history`.
|
||||
|
||||
Two-stage query: stage 1 scans checkpoint metadata to walk the parent
|
||||
chain and locate the nearest snapshot; stage 2 fetches only the
|
||||
chain-limited writes and single seed blob.
|
||||
Two-stage query, both stages cover ALL requested channels:
|
||||
|
||||
* Stage 1 (paged): dynamic SELECT over `checkpoints` with K parallel
|
||||
JSONB key lookups (one column pair per channel) — no subquery, no
|
||||
aggregation. Pages newest-first by `checkpoint_id` with a cursor;
|
||||
page size is `_DELTA_PAGE_SIZE`. Stops paging when every channel
|
||||
has found its seed or the chain is exhausted.
|
||||
|
||||
* Stage 2 (per-channel UNION ALL): one branch per channel reading
|
||||
`checkpoint_writes` filtered to that channel's specific
|
||||
`chain_cids`, plus one branch per channel that has a seed reading
|
||||
`checkpoint_blobs` for that channel + version. Avoids the
|
||||
over-fetch of a single `channel = ANY(channels)` filter when
|
||||
channels have different chain depths.
|
||||
"""
|
||||
if not channels:
|
||||
return {}
|
||||
channels = list(channels)
|
||||
thread_id = config["configurable"]["thread_id"]
|
||||
checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
|
||||
checkpoint_id = get_checkpoint_id(config)
|
||||
if checkpoint_id is None:
|
||||
target = self.get_tuple(config)
|
||||
if target is None:
|
||||
return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=[])
|
||||
return {ch: {"writes": []} for ch in channels}
|
||||
checkpoint_id = target.config["configurable"]["checkpoint_id"]
|
||||
|
||||
# Stage 1: paged K-JSONB-lookup scan, walking the parent chain in
|
||||
# Python after each page. Stops as soon as every channel has its seed.
|
||||
stage1_sql = _build_delta_stage1_sql(channels, paged=True)
|
||||
parent_of: dict[str, str | None] = {}
|
||||
ver_by_i_by_cid: list[dict[str, str | None]] = [{} for _ in channels]
|
||||
hs_by_i_by_cid: list[dict[str, bool]] = [{} for _ in channels]
|
||||
chain_by_ch: dict[str, list[str]] = {ch: [] for ch in channels}
|
||||
seed_ver_by_ch: dict[str, str | None] = {ch: None for ch in channels}
|
||||
walk_cursor_by_ch: dict[str, str | None] = {}
|
||||
seeded: set[str] = set()
|
||||
cursor: str | None = None
|
||||
|
||||
with self._cursor() as cur:
|
||||
cur.execute(
|
||||
SELECT_DELTA_STAGE1_SQL,
|
||||
(channel, channel, thread_id, checkpoint_ns),
|
||||
)
|
||||
stage1_rows = cur.fetchall()
|
||||
chain_cids, seed_version = self._walk_stage1(
|
||||
cast("list[_DeltaStage1Row]", stage1_rows), checkpoint_id
|
||||
while True:
|
||||
stage1_params: list[Any] = []
|
||||
for ch in channels:
|
||||
stage1_params.extend([ch, ch])
|
||||
stage1_params.extend(
|
||||
[thread_id, checkpoint_ns, cursor, cursor, _DELTA_PAGE_SIZE]
|
||||
)
|
||||
cur.execute(stage1_sql, stage1_params)
|
||||
page = cur.fetchall()
|
||||
if not page:
|
||||
break
|
||||
oldest = self._ingest_stage1_page(
|
||||
cast("list[Mapping[str, Any]]", page),
|
||||
channels,
|
||||
parent_of,
|
||||
ver_by_i_by_cid,
|
||||
hs_by_i_by_cid,
|
||||
)
|
||||
self._try_advance_walks(
|
||||
checkpoint_id,
|
||||
channels,
|
||||
parent_of,
|
||||
ver_by_i_by_cid,
|
||||
hs_by_i_by_cid,
|
||||
chain_by_ch,
|
||||
seed_ver_by_ch,
|
||||
walk_cursor_by_ch,
|
||||
seeded,
|
||||
)
|
||||
# Stop if every channel is seeded, or the page was short
|
||||
# (chain exhausted — no more rows to fetch).
|
||||
if len(seeded) == len(channels) or len(page) < _DELTA_PAGE_SIZE:
|
||||
break
|
||||
cursor = oldest
|
||||
|
||||
# Stage 2: per-channel UNION ALL — one writes branch per channel
|
||||
# with non-empty chain, plus one blob branch per seeded channel.
|
||||
channels_with_chain = [ch for ch in channels if chain_by_ch[ch]]
|
||||
channels_with_seed = [ch for ch in channels if seed_ver_by_ch[ch] is not None]
|
||||
stage2_sql = _build_delta_stage2_sql(
|
||||
channels_with_chain=channels_with_chain,
|
||||
channels_with_seed=channels_with_seed,
|
||||
)
|
||||
seed_versions = [seed_version] if seed_version else []
|
||||
with self._cursor() as cur:
|
||||
cur.execute(
|
||||
SELECT_DELTA_STAGE2_SQL,
|
||||
(
|
||||
thread_id,
|
||||
checkpoint_ns,
|
||||
channel,
|
||||
chain_cids,
|
||||
thread_id,
|
||||
checkpoint_ns,
|
||||
channel,
|
||||
seed_versions,
|
||||
),
|
||||
)
|
||||
stage2_rows = cur.fetchall()
|
||||
return self._build_delta_channel_writes_history(
|
||||
channel=channel,
|
||||
chain_cids=chain_cids,
|
||||
seed_version=seed_version,
|
||||
|
||||
if stage2_sql:
|
||||
stage2_params: list[Any] = []
|
||||
for ch in channels_with_chain:
|
||||
stage2_params.extend([thread_id, checkpoint_ns, ch, chain_by_ch[ch]])
|
||||
for ch in channels_with_seed:
|
||||
stage2_params.extend([thread_id, checkpoint_ns, ch, seed_ver_by_ch[ch]])
|
||||
with self._cursor() as cur:
|
||||
cur.execute(stage2_sql, stage2_params)
|
||||
stage2_rows = cur.fetchall()
|
||||
else:
|
||||
stage2_rows = []
|
||||
|
||||
return self._build_delta_channels_writes_history(
|
||||
channels=channels,
|
||||
chain_by_ch=chain_by_ch,
|
||||
seed_ver_by_ch=seed_ver_by_ch,
|
||||
stage2_rows=cast("list[_DeltaStage2Row]", stage2_rows),
|
||||
)
|
||||
|
||||
|
||||
@@ -2,19 +2,18 @@ from __future__ import annotations
|
||||
|
||||
import asyncio
|
||||
from collections import defaultdict
|
||||
from collections.abc import AsyncIterator, Iterator, Sequence
|
||||
from collections.abc import AsyncIterator, Iterator, Mapping, Sequence
|
||||
from contextlib import asynccontextmanager
|
||||
from typing import Any, cast
|
||||
|
||||
from langchain_core.runnables import RunnableConfig
|
||||
from langgraph.checkpoint.base import (
|
||||
DELTA_SENTINEL,
|
||||
WRITES_IDX_MAP,
|
||||
ChannelVersions,
|
||||
Checkpoint,
|
||||
CheckpointMetadata,
|
||||
CheckpointTuple,
|
||||
_ChannelWritesHistory,
|
||||
DeltaChannelHistory,
|
||||
get_checkpoint_id,
|
||||
get_serializable_checkpoint_metadata,
|
||||
)
|
||||
@@ -27,10 +26,10 @@ from psycopg_pool import AsyncConnectionPool
|
||||
|
||||
from langgraph.checkpoint.postgres import _ainternal
|
||||
from langgraph.checkpoint.postgres.base import (
|
||||
SELECT_DELTA_STAGE1_SQL,
|
||||
SELECT_DELTA_STAGE2_SQL,
|
||||
_DELTA_PAGE_SIZE,
|
||||
BasePostgresSaver,
|
||||
_DeltaStage1Row,
|
||||
_build_delta_stage1_sql,
|
||||
_build_delta_stage2_sql,
|
||||
_DeltaStage2Row,
|
||||
)
|
||||
from langgraph.checkpoint.postgres.shallow import AsyncShallowPostgresSaver
|
||||
@@ -270,9 +269,7 @@ class AsyncPostgresSaver(BasePostgresSaver):
|
||||
# others are stored in blobs table
|
||||
blob_values = {}
|
||||
for k, v in checkpoint["channel_values"].items():
|
||||
if v is DELTA_SENTINEL:
|
||||
copy["channel_values"].pop(k)
|
||||
elif isinstance(v, _DeltaSnapshot):
|
||||
if isinstance(v, _DeltaSnapshot):
|
||||
blob_values[k] = copy["channel_values"].pop(k)
|
||||
copy["channel_values"][k] = True
|
||||
elif v is None or isinstance(v, (str, int, float, bool)):
|
||||
@@ -405,53 +402,94 @@ class AsyncPostgresSaver(BasePostgresSaver):
|
||||
async with conn.cursor(binary=True, row_factory=dict_row) as cur:
|
||||
yield cur
|
||||
|
||||
async def _aget_channel_writes_history(
|
||||
self, config: RunnableConfig, channel: str
|
||||
) -> _ChannelWritesHistory:
|
||||
"""Fast-path override of `BaseCheckpointSaver._aget_channel_writes_history`.
|
||||
async def aget_delta_channel_history(
|
||||
self, *, config: RunnableConfig, channels: Sequence[str]
|
||||
) -> Mapping[str, DeltaChannelHistory]:
|
||||
"""Fast-path override of `BaseCheckpointSaver.aget_delta_channel_history`.
|
||||
|
||||
Two-stage query: stage 1 scans checkpoint metadata to walk the parent
|
||||
chain and locate the nearest snapshot; stage 2 fetches only the
|
||||
chain-limited writes and single seed blob.
|
||||
See `PostgresSaver.get_delta_channel_history` for design notes; this is
|
||||
the async equivalent with internal stage-1 paging and per-channel
|
||||
UNION ALL stage-2.
|
||||
"""
|
||||
if not channels:
|
||||
return {}
|
||||
channels = list(channels)
|
||||
thread_id = config["configurable"]["thread_id"]
|
||||
checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
|
||||
checkpoint_id = get_checkpoint_id(config)
|
||||
if checkpoint_id is None:
|
||||
target = await self.aget_tuple(config)
|
||||
if target is None:
|
||||
return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=[])
|
||||
return {ch: {"writes": []} for ch in channels}
|
||||
checkpoint_id = target.config["configurable"]["checkpoint_id"]
|
||||
|
||||
stage1_sql = _build_delta_stage1_sql(channels, paged=True)
|
||||
parent_of: dict[str, str | None] = {}
|
||||
ver_by_i_by_cid: list[dict[str, str | None]] = [{} for _ in channels]
|
||||
hs_by_i_by_cid: list[dict[str, bool]] = [{} for _ in channels]
|
||||
chain_by_ch: dict[str, list[str]] = {ch: [] for ch in channels}
|
||||
seed_ver_by_ch: dict[str, str | None] = {ch: None for ch in channels}
|
||||
walk_cursor_by_ch: dict[str, str | None] = {}
|
||||
seeded: set[str] = set()
|
||||
cursor: str | None = None
|
||||
|
||||
async with self._cursor() as cur:
|
||||
await cur.execute(
|
||||
SELECT_DELTA_STAGE1_SQL,
|
||||
(channel, channel, thread_id, checkpoint_ns),
|
||||
)
|
||||
stage1_rows = await cur.fetchall()
|
||||
chain_cids, seed_version = self._walk_stage1(
|
||||
cast("list[_DeltaStage1Row]", stage1_rows), checkpoint_id
|
||||
while True:
|
||||
stage1_params: list[Any] = []
|
||||
for ch in channels:
|
||||
stage1_params.extend([ch, ch])
|
||||
stage1_params.extend(
|
||||
[thread_id, checkpoint_ns, cursor, cursor, _DELTA_PAGE_SIZE]
|
||||
)
|
||||
await cur.execute(stage1_sql, stage1_params)
|
||||
page = await cur.fetchall()
|
||||
if not page:
|
||||
break
|
||||
oldest = self._ingest_stage1_page(
|
||||
cast("list[Mapping[str, Any]]", page),
|
||||
channels,
|
||||
parent_of,
|
||||
ver_by_i_by_cid,
|
||||
hs_by_i_by_cid,
|
||||
)
|
||||
self._try_advance_walks(
|
||||
checkpoint_id,
|
||||
channels,
|
||||
parent_of,
|
||||
ver_by_i_by_cid,
|
||||
hs_by_i_by_cid,
|
||||
chain_by_ch,
|
||||
seed_ver_by_ch,
|
||||
walk_cursor_by_ch,
|
||||
seeded,
|
||||
)
|
||||
if len(seeded) == len(channels) or len(page) < _DELTA_PAGE_SIZE:
|
||||
break
|
||||
cursor = oldest
|
||||
|
||||
channels_with_chain = [ch for ch in channels if chain_by_ch[ch]]
|
||||
channels_with_seed = [ch for ch in channels if seed_ver_by_ch[ch] is not None]
|
||||
stage2_sql = _build_delta_stage2_sql(
|
||||
channels_with_chain=channels_with_chain,
|
||||
channels_with_seed=channels_with_seed,
|
||||
)
|
||||
seed_versions = [seed_version] if seed_version else []
|
||||
async with self._cursor() as cur:
|
||||
await cur.execute(
|
||||
SELECT_DELTA_STAGE2_SQL,
|
||||
(
|
||||
thread_id,
|
||||
checkpoint_ns,
|
||||
channel,
|
||||
chain_cids,
|
||||
thread_id,
|
||||
checkpoint_ns,
|
||||
channel,
|
||||
seed_versions,
|
||||
),
|
||||
)
|
||||
stage2_rows = await cur.fetchall()
|
||||
return self._build_delta_channel_writes_history(
|
||||
channel=channel,
|
||||
chain_cids=chain_cids,
|
||||
seed_version=seed_version,
|
||||
|
||||
if stage2_sql:
|
||||
stage2_params: list[Any] = []
|
||||
for ch in channels_with_chain:
|
||||
stage2_params.extend([thread_id, checkpoint_ns, ch, chain_by_ch[ch]])
|
||||
for ch in channels_with_seed:
|
||||
stage2_params.extend([thread_id, checkpoint_ns, ch, seed_ver_by_ch[ch]])
|
||||
async with self._cursor() as cur:
|
||||
await cur.execute(stage2_sql, stage2_params)
|
||||
stage2_rows = await cur.fetchall()
|
||||
else:
|
||||
stage2_rows = []
|
||||
|
||||
return self._build_delta_channels_writes_history(
|
||||
channels=channels,
|
||||
chain_by_ch=chain_by_ch,
|
||||
seed_ver_by_ch=seed_ver_by_ch,
|
||||
stage2_rows=cast("list[_DeltaStage2Row]", stage2_rows),
|
||||
)
|
||||
|
||||
|
||||
@@ -2,23 +2,26 @@ from __future__ import annotations
|
||||
|
||||
import random
|
||||
import warnings
|
||||
from collections.abc import Sequence
|
||||
from collections.abc import Mapping, Sequence
|
||||
from importlib.metadata import version as get_version
|
||||
from typing import Any, TypedDict, cast
|
||||
|
||||
from langchain_core.runnables import RunnableConfig
|
||||
from langgraph.checkpoint.base import (
|
||||
DELTA_SENTINEL,
|
||||
WRITES_IDX_MAP,
|
||||
BaseCheckpointSaver,
|
||||
ChannelVersions,
|
||||
DeltaChannelHistory,
|
||||
PendingWrite,
|
||||
_ChannelWritesHistory,
|
||||
get_checkpoint_id,
|
||||
)
|
||||
from langgraph.checkpoint.serde.types import TASKS
|
||||
from psycopg.types.json import Jsonb
|
||||
|
||||
# Page size for stage-1 paged scan in `get_delta_channel_history`. Internal
|
||||
# constant — exposing this as a kwarg is left as a follow-up.
|
||||
_DELTA_PAGE_SIZE = 1024
|
||||
|
||||
MetadataInput = dict[str, Any] | None
|
||||
|
||||
try:
|
||||
@@ -157,10 +160,11 @@ INSERT_CHECKPOINT_WRITES_SQL = """
|
||||
|
||||
|
||||
class _DeltaStage2Row(TypedDict, total=False):
|
||||
"""One row from `SELECT_DELTA_STAGE2_SQL` (a UNION ALL of writes and blobs)."""
|
||||
"""One row from `_build_delta_stage2_sql` (a UNION ALL of writes and blobs)."""
|
||||
|
||||
_kind: str # "w" or "b"
|
||||
checkpoint_id: str | None # "w" rows only
|
||||
channel: str | None # set on both "w" and "b" rows
|
||||
type: str | None
|
||||
blob: bytes | None
|
||||
task_id: str | None # "w" rows only
|
||||
@@ -168,48 +172,126 @@ class _DeltaStage2Row(TypedDict, total=False):
|
||||
version: str | None # "b" rows only
|
||||
|
||||
|
||||
# Two-stage DeltaChannel reconstruction. Stage 1 scans checkpoint
|
||||
# metadata (no blob bytes) to walk the parent chain and locate the
|
||||
# nearest snapshot marker. Stage 2 fetches only the chain-limited
|
||||
# writes and the single seed snapshot blob.
|
||||
# Multi-channel two-stage DeltaChannel reconstruction.
|
||||
#
|
||||
# Parameter order:
|
||||
# stage1: (channel, channel, thread_id, checkpoint_ns)
|
||||
# stage2: (thread_id, checkpoint_ns, channel, chain_cids[],
|
||||
# thread_id, checkpoint_ns, channel, seed_versions[])
|
||||
|
||||
SELECT_DELTA_STAGE1_SQL = """
|
||||
SELECT checkpoint_id,
|
||||
parent_checkpoint_id,
|
||||
checkpoint -> 'channel_versions' ->> %s AS ver,
|
||||
(checkpoint -> 'channel_values' -> %s) IS NOT NULL AS has_snapshot
|
||||
FROM checkpoints
|
||||
WHERE thread_id = %s AND checkpoint_ns = %s
|
||||
"""
|
||||
|
||||
SELECT_DELTA_STAGE2_SQL = """
|
||||
SELECT 'w'::text AS _kind,
|
||||
checkpoint_id,
|
||||
type, blob, task_id, idx, NULL::text AS version
|
||||
FROM checkpoint_writes
|
||||
WHERE thread_id = %s AND checkpoint_ns = %s AND channel = %s
|
||||
AND checkpoint_id = ANY(%s)
|
||||
UNION ALL
|
||||
SELECT 'b', NULL,
|
||||
type, blob, NULL, NULL, version
|
||||
FROM checkpoint_blobs
|
||||
WHERE thread_id = %s AND checkpoint_ns = %s AND channel = %s
|
||||
AND version = ANY(%s)
|
||||
"""
|
||||
# Stage 1 scans checkpoint metadata (no blob bytes) and emits one row per
|
||||
# checkpoint with K parallel JSONB key lookups (one column pair per
|
||||
# requested delta channel: ver_i / hs_i). No subqueries, no aggregation.
|
||||
# Python walks the parent chain once across all channels.
|
||||
#
|
||||
# Stage 2 fetches all writes and the seed blobs for ALL channels in a
|
||||
# single roundtrip via `channel = ANY(%s)` and chain/seed-version
|
||||
# filtering.
|
||||
#
|
||||
# Empirical comparison vs an alternative "ship full channel_versions /
|
||||
# channel_values JSONB and let Python pick" form (1000 checkpoints,
|
||||
# 8 total channels in graph, 3 delta channels requested):
|
||||
#
|
||||
# Postgres execution: A=0.24ms vs B=0.38ms (both negligible)
|
||||
# End-to-end latency: A=6.83ms vs B=2.28ms (B is 3.0x faster)
|
||||
# Wire payload: A=836KB vs B=330KB (61% smaller)
|
||||
# Buffer hits: identical (167 blocks)
|
||||
#
|
||||
# B (this dynamic-columns design) wins because it avoids JSONB
|
||||
# serialization on the wire and JSONB-to-dict deserialization in
|
||||
# psycopg. Even at K=8 (8 delta channels = 16 dynamic columns), B
|
||||
# still beats A end-to-end (4.2ms vs 6.8ms).
|
||||
|
||||
|
||||
class _DeltaStage1Row(TypedDict):
|
||||
"""One row from `SELECT_DELTA_STAGE1_SQL`."""
|
||||
def _build_delta_stage1_sql(channels: Sequence[str], *, paged: bool) -> str:
|
||||
"""Build stage 1 SQL with 2K parallel JSONB key lookups.
|
||||
|
||||
checkpoint_id: str
|
||||
parent_checkpoint_id: str | None
|
||||
ver: str | None
|
||||
has_snapshot: bool
|
||||
For channels=["messages", "files"] (with `paged=True`) the result is::
|
||||
|
||||
SELECT checkpoint_id, parent_checkpoint_id,
|
||||
checkpoint -> 'channel_versions' ->> %s AS ver_0,
|
||||
(checkpoint -> 'channel_values' -> %s) IS NOT NULL AS hs_0,
|
||||
checkpoint -> 'channel_versions' ->> %s AS ver_1,
|
||||
(checkpoint -> 'channel_values' -> %s) IS NOT NULL AS hs_1
|
||||
FROM checkpoints
|
||||
WHERE thread_id = %s AND checkpoint_ns = %s
|
||||
AND (%s::text IS NULL OR checkpoint_id < %s)
|
||||
ORDER BY checkpoint_id DESC
|
||||
LIMIT %s
|
||||
|
||||
Channel names are passed as `%s` parameters (safe from SQL injection).
|
||||
Only the column aliases `ver_i` / `hs_i` are interpolated into the
|
||||
SQL string (i is bounded by len(channels) and uses safe identifiers).
|
||||
|
||||
Caller must extend params with `[ch_0, ch_0, ch_1, ch_1, ...,
|
||||
thread_id, ns, cursor, cursor, page_size]` when `paged=True`.
|
||||
|
||||
When `paged=False`, the WHERE has no cursor predicate and there's no
|
||||
LIMIT/ORDER BY — kept as a non-public helper for tests/diagnostics.
|
||||
"""
|
||||
cols = []
|
||||
for i in range(len(channels)):
|
||||
cols.append(
|
||||
f"checkpoint -> 'channel_versions' ->> %s AS ver_{i}, "
|
||||
f"(checkpoint -> 'channel_values' -> %s) IS NOT NULL AS hs_{i}"
|
||||
)
|
||||
sql = (
|
||||
"SELECT checkpoint_id, parent_checkpoint_id, "
|
||||
+ ", ".join(cols)
|
||||
+ " FROM checkpoints WHERE thread_id = %s AND checkpoint_ns = %s"
|
||||
)
|
||||
if paged:
|
||||
sql += (
|
||||
" AND (%s::text IS NULL OR checkpoint_id < %s)"
|
||||
" ORDER BY checkpoint_id DESC LIMIT %s"
|
||||
)
|
||||
return sql
|
||||
|
||||
|
||||
def _build_delta_stage2_sql(
|
||||
*,
|
||||
channels_with_chain: Sequence[str],
|
||||
channels_with_seed: Sequence[str],
|
||||
) -> str:
|
||||
"""Build stage 2 SQL as a per-channel UNION ALL.
|
||||
|
||||
For each channel with a non-empty chain, emit one branch reading
|
||||
`checkpoint_writes` for that specific channel + chain_cids. For each
|
||||
channel with a seed_version, emit one branch reading `checkpoint_blobs`
|
||||
for that channel + version. This avoids the over-fetch of the prior
|
||||
`channel = ANY(channels) AND checkpoint_id = ANY(union)` form when
|
||||
channels have different chain depths.
|
||||
|
||||
The caller must pass parameters in matching order:
|
||||
|
||||
for ch in channels_with_chain:
|
||||
params += [thread_id, checkpoint_ns, ch, chain_cids[ch]]
|
||||
for ch in channels_with_seed:
|
||||
params += [thread_id, checkpoint_ns, ch, seed_version[ch]]
|
||||
|
||||
Returns an empty SQL string if both channel lists are empty (caller
|
||||
must skip executing in that case).
|
||||
"""
|
||||
branches: list[str] = []
|
||||
for _ in channels_with_chain:
|
||||
branches.append(
|
||||
"SELECT 'w'::text AS _kind, "
|
||||
"checkpoint_id, channel, "
|
||||
"type, blob, task_id, idx, NULL::text AS version "
|
||||
"FROM checkpoint_writes "
|
||||
"WHERE thread_id = %s AND checkpoint_ns = %s AND channel = %s "
|
||||
"AND checkpoint_id = ANY(%s)"
|
||||
)
|
||||
for _ in channels_with_seed:
|
||||
branches.append(
|
||||
"SELECT 'b'::text, NULL, channel, "
|
||||
"type, blob, NULL, NULL, version "
|
||||
"FROM checkpoint_blobs "
|
||||
"WHERE thread_id = %s AND checkpoint_ns = %s AND channel = %s "
|
||||
"AND version = %s"
|
||||
)
|
||||
return " UNION ALL ".join(branches)
|
||||
|
||||
|
||||
# Stage 1 rows are dynamic-shape dicts: {checkpoint_id, parent_checkpoint_id,
|
||||
# ver_0, hs_0, ver_1, hs_1, ...}. Walking is parameterized by the channel
|
||||
# list to map indices back to channel names — no static TypedDict here.
|
||||
# `dict[str, Any]` is the practical signature.
|
||||
|
||||
|
||||
class BasePostgresSaver(BaseCheckpointSaver[str]):
|
||||
@@ -255,86 +337,144 @@ class BasePostgresSaver(BaseCheckpointSaver[str]):
|
||||
}
|
||||
|
||||
@staticmethod
|
||||
def _walk_stage1(
|
||||
stage1_rows: Sequence[_DeltaStage1Row],
|
||||
target_id: str,
|
||||
) -> tuple[list[str], str | None]:
|
||||
"""Walk the parent chain from stage 1 metadata rows.
|
||||
def _ingest_stage1_page(
|
||||
stage1_rows: Sequence[Mapping[str, Any]],
|
||||
channels: Sequence[str],
|
||||
parent_of: dict[str, str | None],
|
||||
ver_by_i_by_cid: list[dict[str, str | None]],
|
||||
hs_by_i_by_cid: list[dict[str, bool]],
|
||||
) -> str | None:
|
||||
"""Fold one stage-1 page into the running walk-state mappings.
|
||||
|
||||
Returns (chain_cids, seed_version):
|
||||
chain_cids: ancestor checkpoint IDs from target's parent down to
|
||||
the seed (or root), in newest-first order.
|
||||
seed_version: the channel blob version at the nearest ancestor
|
||||
with has_snapshot=True, or None if pure delta.
|
||||
Returns the oldest checkpoint_id seen on this page (smallest, since
|
||||
pages come back DESC). Caller uses it as the cursor for the next
|
||||
page (`AND checkpoint_id < cursor`).
|
||||
"""
|
||||
parent_of: dict[str, str | None] = {}
|
||||
ver_of: dict[str, str | None] = {}
|
||||
snapshot_of: dict[str, bool] = {}
|
||||
oldest: str | None = None
|
||||
for r in stage1_rows:
|
||||
cid = r["checkpoint_id"]
|
||||
parent_of[cid] = r["parent_checkpoint_id"]
|
||||
ver_of[cid] = r["ver"]
|
||||
snapshot_of[cid] = r["has_snapshot"]
|
||||
cid = cast(str, r["checkpoint_id"])
|
||||
parent_of[cid] = cast("str | None", r["parent_checkpoint_id"])
|
||||
for i in range(len(channels)):
|
||||
ver_by_i_by_cid[i][cid] = cast("str | None", r.get(f"ver_{i}"))
|
||||
hs_by_i_by_cid[i][cid] = bool(r.get(f"hs_{i}"))
|
||||
# Rows are DESC; the last one is the smallest cid in the page.
|
||||
oldest = cid
|
||||
return oldest
|
||||
|
||||
chain_cids: list[str] = []
|
||||
seed_version: str | None = None
|
||||
cur_cid: str | None = parent_of.get(target_id)
|
||||
while cur_cid is not None:
|
||||
chain_cids.append(cur_cid)
|
||||
if snapshot_of.get(cur_cid, False):
|
||||
seed_version = ver_of.get(cur_cid)
|
||||
break
|
||||
cur_cid = parent_of.get(cur_cid)
|
||||
return chain_cids, seed_version
|
||||
@staticmethod
|
||||
def _try_advance_walks(
|
||||
target_id: str,
|
||||
channels: Sequence[str],
|
||||
parent_of: Mapping[str, str | None],
|
||||
ver_by_i_by_cid: Sequence[Mapping[str, str | None]],
|
||||
hs_by_i_by_cid: Sequence[Mapping[str, bool]],
|
||||
chain_by_ch: dict[str, list[str]],
|
||||
seed_ver_by_ch: dict[str, str | None],
|
||||
walk_cursor_by_ch: dict[str, str | None],
|
||||
seeded: set[str],
|
||||
) -> None:
|
||||
"""Advance each not-yet-seeded channel's walk as far as possible.
|
||||
|
||||
def _build_delta_channel_writes_history(
|
||||
Uses the partial `parent_of` map accumulated so far. A walk stops
|
||||
either because:
|
||||
(a) it found a snapshot for its channel (channel becomes seeded),
|
||||
(b) it reached a real root (parent_of[cid] is None — fully
|
||||
materialized at this point), or
|
||||
(c) the next ancestor cid isn't in `parent_of` yet (waiting for
|
||||
a later page; the cursor stays put).
|
||||
|
||||
Mutates `chain_by_ch`, `seed_ver_by_ch`, `walk_cursor_by_ch`, and
|
||||
`seeded` in place.
|
||||
"""
|
||||
for i, ch in enumerate(channels):
|
||||
if ch in seeded:
|
||||
continue
|
||||
# First-time entry: cursor starts at the target's parent.
|
||||
if ch not in walk_cursor_by_ch:
|
||||
walk_cursor_by_ch[ch] = parent_of.get(target_id)
|
||||
cur_cid = walk_cursor_by_ch[ch]
|
||||
ch_chain = chain_by_ch[ch]
|
||||
hs_i = hs_by_i_by_cid[i]
|
||||
ver_i = ver_by_i_by_cid[i]
|
||||
while cur_cid is not None:
|
||||
if cur_cid not in parent_of:
|
||||
# Need more pages to continue this walk.
|
||||
break
|
||||
ch_chain.append(cur_cid)
|
||||
if hs_i.get(cur_cid, False):
|
||||
seed_ver_by_ch[ch] = ver_i.get(cur_cid)
|
||||
seeded.add(ch)
|
||||
cur_cid = None
|
||||
break
|
||||
cur_cid = parent_of[cur_cid]
|
||||
walk_cursor_by_ch[ch] = cur_cid
|
||||
|
||||
def _build_delta_channels_writes_history(
|
||||
self,
|
||||
*,
|
||||
channel: str,
|
||||
chain_cids: list[str],
|
||||
seed_version: str | None,
|
||||
channels: Sequence[str],
|
||||
chain_by_ch: Mapping[str, list[str]],
|
||||
seed_ver_by_ch: Mapping[str, str | None],
|
||||
stage2_rows: Sequence[_DeltaStage2Row],
|
||||
) -> _ChannelWritesHistory:
|
||||
"""Reconstruct delta channel history from two-stage query results.
|
||||
) -> dict[str, DeltaChannelHistory]:
|
||||
"""Demux stage 2 rows per channel; produce per-channel histories.
|
||||
|
||||
chain_cids are in newest-first order (target's parent first).
|
||||
stage2_rows contain only writes for chain_cids and the single
|
||||
seed blob at seed_version.
|
||||
stage2_rows carry `channel` on every row. We build per-channel
|
||||
`writes_by_cid` and per-channel `seed_blob` dicts, then assemble
|
||||
a `DeltaChannelHistory` per requested channel. The `seed` key is omitted
|
||||
when the walk reached root with no snapshot found, or when the
|
||||
seed blob is sentinel "empty" — in both cases the consumer treats
|
||||
absence as "start empty".
|
||||
"""
|
||||
writes_by_cid: dict[str, list[tuple[str, bytes, str, int]]] = {}
|
||||
seed_blob: tuple[str, bytes] | None = None
|
||||
# writes_by_ch_by_cid[channel][cid] = list of (type, blob, task_id, idx)
|
||||
writes_by_ch_by_cid: dict[str, dict[str, list[tuple[str, bytes, str, int]]]] = {
|
||||
ch: {} for ch in channels
|
||||
}
|
||||
# seed_blob_by_ver[(channel, version)] = (type, blob)
|
||||
seed_blob_by_ver: dict[tuple[str, str], tuple[str, bytes]] = {}
|
||||
|
||||
for r in stage2_rows:
|
||||
ch = cast(str, r["channel"])
|
||||
kind = r["_kind"]
|
||||
if kind == "w":
|
||||
cid = cast(str, r["checkpoint_id"])
|
||||
writes_by_cid.setdefault(cid, []).append(
|
||||
writes_by_ch_by_cid.setdefault(ch, {}).setdefault(cid, []).append(
|
||||
cast(
|
||||
"tuple[str, bytes, str, int]",
|
||||
(r["type"], r["blob"], r["task_id"], r["idx"]),
|
||||
)
|
||||
)
|
||||
else: # kind == "b"
|
||||
seed_blob = cast("tuple[str, bytes]", (r["type"], r["blob"]))
|
||||
ver = cast(str, r["version"])
|
||||
seed_blob_by_ver[(ch, ver)] = cast(
|
||||
"tuple[str, bytes]", (r["type"], r["blob"])
|
||||
)
|
||||
|
||||
for ws in writes_by_cid.values():
|
||||
ws.sort(key=lambda w: (w[2], w[3]), reverse=True)
|
||||
# Sort writes per (channel, cid) newest-first by (task_id, idx)
|
||||
for cid_map in writes_by_ch_by_cid.values():
|
||||
for ws in cid_map.values():
|
||||
ws.sort(key=lambda w: (w[2], w[3]), reverse=True)
|
||||
|
||||
if not chain_cids:
|
||||
return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=[])
|
||||
result: dict[str, DeltaChannelHistory] = {}
|
||||
for ch in channels:
|
||||
chain_cids = chain_by_ch.get(ch, [])
|
||||
seed_version = seed_ver_by_ch.get(ch)
|
||||
|
||||
collected: list[PendingWrite] = []
|
||||
for cid in chain_cids:
|
||||
for type_tag, write_blob, task_id, _idx in writes_by_cid.get(cid, []):
|
||||
val = self.serde.loads_typed((type_tag, write_blob))
|
||||
collected.append((task_id, channel, val))
|
||||
collected: list[PendingWrite] = []
|
||||
cid_writes = writes_by_ch_by_cid.get(ch, {})
|
||||
for cid in chain_cids:
|
||||
for type_tag, write_blob, task_id, _idx in cid_writes.get(cid, []):
|
||||
val = self.serde.loads_typed((type_tag, write_blob))
|
||||
collected.append((task_id, ch, val))
|
||||
collected.reverse()
|
||||
|
||||
seed: Any = DELTA_SENTINEL
|
||||
if seed_blob is not None and seed_blob[0] != "empty":
|
||||
seed = self.serde.loads_typed(seed_blob)
|
||||
|
||||
collected.reverse()
|
||||
return _ChannelWritesHistory(seed=seed, writes=collected)
|
||||
entry: DeltaChannelHistory = {"writes": collected}
|
||||
if seed_version is not None:
|
||||
blob = seed_blob_by_ver.get((ch, seed_version))
|
||||
if blob is not None and blob[0] != "empty":
|
||||
entry["seed"] = self.serde.loads_typed(blob)
|
||||
result[ch] = entry
|
||||
return result
|
||||
|
||||
def _dump_blobs(
|
||||
self,
|
||||
|
||||
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
|
||||
|
||||
[project]
|
||||
name = "langgraph-checkpoint-postgres"
|
||||
version = "3.1.0a3"
|
||||
version = "3.1.0a4"
|
||||
description = "Library with a Postgres implementation of LangGraph checkpoint saver."
|
||||
authors = []
|
||||
requires-python = ">=3.10"
|
||||
@@ -12,7 +12,7 @@ readme = "README.md"
|
||||
license = "MIT"
|
||||
license-files = ['LICENSE']
|
||||
dependencies = [
|
||||
"langgraph-checkpoint>=4.1.0a3,<5.0.0",
|
||||
"langgraph-checkpoint>=4.1.0a4,<5.0.0",
|
||||
"orjson>=3.11.5",
|
||||
"psycopg>=3.2.0",
|
||||
"psycopg-pool>=3.2.0",
|
||||
|
||||
Generated
+86
-69
@@ -1,6 +1,10 @@
|
||||
version = 1
|
||||
revision = 3
|
||||
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@@ -0,0 +1,271 @@
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"""Smoke tests for `BaseCheckpointSaver.get_delta_channel_history` on sqlite.
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`SqliteSaver` (and `AsyncSqliteSaver`) deliberately don't override the
|
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default implementation in `BaseCheckpointSaver` — these tests pin the
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default impl to behave correctly end-to-end against a real persistent
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Scenarios covered:
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oldest→newest.
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`seed` is omitted from the entry (consumer treats absence as "start
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|
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import pytest
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from langchain_core.runnables import RunnableConfig
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# `langgraph` is not a dep of `langgraph-checkpoint-sqlite`. When tests run
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pytest.importorskip("langgraph.channels.delta", reason="langgraph core not installed")
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pytest.importorskip("langgraph.graph", reason="langgraph core not installed")
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|
||||
from langgraph.channels.delta import DeltaChannel # type: ignore[import-untyped] # noqa: E402,I001
|
||||
from langgraph.checkpoint.serde.types import _DeltaSnapshot # noqa: E402
|
||||
from langgraph.graph import END, START, StateGraph # type: ignore[import-untyped] # noqa: E402
|
||||
from typing_extensions import TypedDict # noqa: E402
|
||||
|
||||
from langgraph.checkpoint.sqlite import SqliteSaver # noqa: E402
|
||||
from langgraph.checkpoint.sqlite.aio import AsyncSqliteSaver # noqa: E402
|
||||
|
||||
pytestmark = pytest.mark.anyio
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Graph helpers
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def _noop(_state: Any) -> dict[str, Any]:
|
||||
return {}
|
||||
|
||||
|
||||
class _DeltaState(TypedDict):
|
||||
items: Annotated[list, DeltaChannel(operator.add)]
|
||||
|
||||
|
||||
def _delta_graph(checkpointer: Any) -> Any:
|
||||
return (
|
||||
StateGraph(_DeltaState)
|
||||
.add_node("noop", _noop)
|
||||
.add_edge(START, "noop")
|
||||
.add_edge("noop", END)
|
||||
.compile(checkpointer=checkpointer)
|
||||
)
|
||||
|
||||
|
||||
def _drive(graph: Any, config: RunnableConfig, n: int) -> None:
|
||||
for i in range(n):
|
||||
graph.invoke({"items": [f"v{i}"]}, config)
|
||||
|
||||
|
||||
async def _adrive(graph: Any, config: RunnableConfig, n: int) -> None:
|
||||
for i in range(n):
|
||||
await graph.ainvoke({"items": [f"v{i}"]}, config)
|
||||
|
||||
|
||||
def _pick_non_root(saver: Any, config: RunnableConfig) -> RunnableConfig:
|
||||
"""Return a config pointing at a checkpoint that has at least one ancestor.
|
||||
|
||||
`get_delta_channel_history` walks the parent chain — calling it on the root
|
||||
checkpoint produces `writes=[]` and no `seed`, which is uninteresting
|
||||
for the multi-step assertions below.
|
||||
"""
|
||||
history = list(saver.list(config))
|
||||
assert history, "expected non-empty history"
|
||||
# `list` yields newest→oldest; the second entry has the first entry
|
||||
# as its parent, so its parent_config is non-None.
|
||||
for tup in history:
|
||||
if tup.parent_config is not None:
|
||||
return tup.config
|
||||
raise AssertionError("no checkpoint with a parent in history")
|
||||
|
||||
|
||||
async def _apick_non_root(saver: Any, config: RunnableConfig) -> RunnableConfig:
|
||||
history = [tup async for tup in saver.alist(config)]
|
||||
assert history, "expected non-empty history"
|
||||
for tup in history:
|
||||
if tup.parent_config is not None:
|
||||
return tup.config
|
||||
raise AssertionError("no checkpoint with a parent in history")
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Sync: SqliteSaver
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def test_empty_channels_returns_empty_mapping_sync() -> None:
|
||||
"""Empty `channels` short-circuits to `{}` without touching storage."""
|
||||
with SqliteSaver.from_conn_string(":memory:") as saver:
|
||||
config: RunnableConfig = {"configurable": {"thread_id": "empty"}}
|
||||
assert saver.get_delta_channel_history(config=config, channels=[]) == {}
|
||||
|
||||
|
||||
def test_writes_history_oldest_to_newest_sync() -> None:
|
||||
"""Per-channel writes accumulated across the walk come back oldest→newest."""
|
||||
with SqliteSaver.from_conn_string(":memory:") as saver:
|
||||
config: RunnableConfig = {"configurable": {"thread_id": "history-sync"}}
|
||||
graph = _delta_graph(saver)
|
||||
_drive(graph, config, 3)
|
||||
|
||||
target_cfg = _pick_non_root(saver, config)
|
||||
result = saver.get_delta_channel_history(config=target_cfg, channels=["items"])
|
||||
|
||||
assert "items" in result
|
||||
entry = result["items"]
|
||||
assert isinstance(entry["writes"], list)
|
||||
|
||||
# If any writes were collected, their values should be in oldest→newest
|
||||
# order — i.e. tagged 'v0', 'v1', ... matching invoke order.
|
||||
write_values: list[Any] = []
|
||||
for _task_id, channel, value in entry["writes"]:
|
||||
assert channel == "items"
|
||||
write_values.extend(value if isinstance(value, list) else [value])
|
||||
|
||||
# `_drive` invokes with payloads ['v0'], ['v1'], ['v2']. Whatever
|
||||
# subset shows up in the chain must be a contiguous prefix in order.
|
||||
for idx, val in enumerate(write_values):
|
||||
assert val == f"v{idx}", (
|
||||
f"writes not in oldest→newest order: {write_values}"
|
||||
)
|
||||
|
||||
|
||||
def test_seed_present_when_snapshot_in_ancestor_sync() -> None:
|
||||
"""Inserting a `_DeltaSnapshot` blob at an ancestor → walk returns it as `seed`."""
|
||||
with SqliteSaver.from_conn_string(":memory:") as saver:
|
||||
config: RunnableConfig = {"configurable": {"thread_id": "seed-sync"}}
|
||||
graph = _delta_graph(saver)
|
||||
_drive(graph, config, 2)
|
||||
|
||||
# Find the oldest non-root checkpoint, then walk to its parent and
|
||||
# rewrite that parent's `channel_values["items"]` to a real
|
||||
# `_DeltaSnapshot`. After this surgery, calling `get_delta_channel_history`
|
||||
# at the leaf must return the snapshot value as `seed`.
|
||||
history = list(saver.list(config))
|
||||
assert len(history) >= 2
|
||||
leaf_tup = history[0]
|
||||
# Walk to an ancestor with a parent_config (any non-root will do).
|
||||
ancestor_tup = next(
|
||||
(tup for tup in history if tup.parent_config is not None), None
|
||||
)
|
||||
assert ancestor_tup is not None
|
||||
parent_cfg = ancestor_tup.parent_config
|
||||
assert parent_cfg is not None
|
||||
parent_tup = saver.get_tuple(parent_cfg)
|
||||
assert parent_tup is not None
|
||||
|
||||
snapshot_value = ["seeded", "items"]
|
||||
parent_tup.checkpoint["channel_values"]["items"] = _DeltaSnapshot(
|
||||
snapshot_value
|
||||
)
|
||||
# Make sure the channel has a version so the optimized blob lookup
|
||||
# in any future override has something to hit.
|
||||
parent_tup.checkpoint["channel_versions"].setdefault("items", 1)
|
||||
saver.put(
|
||||
parent_tup.parent_config or {"configurable": parent_cfg["configurable"]},
|
||||
parent_tup.checkpoint,
|
||||
parent_tup.metadata,
|
||||
{},
|
||||
)
|
||||
|
||||
result = saver.get_delta_channel_history(
|
||||
config=leaf_tup.config, channels=["items"]
|
||||
)
|
||||
entry = result["items"]
|
||||
assert "seed" in entry, f"expected seed to be present, got {entry}"
|
||||
seed = entry["seed"]
|
||||
assert isinstance(seed, _DeltaSnapshot), (
|
||||
f"expected _DeltaSnapshot, got {seed!r}"
|
||||
)
|
||||
assert seed.value == snapshot_value
|
||||
|
||||
|
||||
def test_seed_omitted_when_walk_reaches_root_sync() -> None:
|
||||
"""`get_delta_channel_history` on the root checkpoint → no `seed` key, no writes."""
|
||||
with SqliteSaver.from_conn_string(":memory:") as saver:
|
||||
config: RunnableConfig = {"configurable": {"thread_id": "root-sync"}}
|
||||
graph = _delta_graph(saver)
|
||||
_drive(graph, config, 1)
|
||||
|
||||
history = list(saver.list(config))
|
||||
# Root is the oldest checkpoint (no parent_config).
|
||||
root_tup = history[-1]
|
||||
assert root_tup.parent_config is None
|
||||
|
||||
result = saver.get_delta_channel_history(
|
||||
config=root_tup.config, channels=["items"]
|
||||
)
|
||||
entry = result["items"]
|
||||
assert "seed" not in entry, f"root-walk should have no seed, got {entry}"
|
||||
assert entry["writes"] == []
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Async: AsyncSqliteSaver
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
async def test_empty_channels_returns_empty_mapping_async() -> None:
|
||||
"""Async equivalent of the empty-channels short-circuit."""
|
||||
async with AsyncSqliteSaver.from_conn_string(":memory:") as saver:
|
||||
config: RunnableConfig = {"configurable": {"thread_id": "empty-async"}}
|
||||
assert await saver.aget_delta_channel_history(config=config, channels=[]) == {}
|
||||
|
||||
|
||||
async def test_writes_history_oldest_to_newest_async() -> None:
|
||||
"""Async equivalent of the oldest→newest ordering check."""
|
||||
async with AsyncSqliteSaver.from_conn_string(":memory:") as saver:
|
||||
config: RunnableConfig = {"configurable": {"thread_id": "history-async"}}
|
||||
graph = _delta_graph(saver)
|
||||
await _adrive(graph, config, 3)
|
||||
|
||||
target_cfg = await _apick_non_root(saver, config)
|
||||
result = await saver.aget_delta_channel_history(
|
||||
config=target_cfg, channels=["items"]
|
||||
)
|
||||
|
||||
assert "items" in result
|
||||
entry = result["items"]
|
||||
assert isinstance(entry["writes"], list)
|
||||
|
||||
write_values: list[Any] = []
|
||||
for _task_id, channel, value in entry["writes"]:
|
||||
assert channel == "items"
|
||||
write_values.extend(value if isinstance(value, list) else [value])
|
||||
|
||||
for idx, val in enumerate(write_values):
|
||||
assert val == f"v{idx}", (
|
||||
f"writes not in oldest→newest order: {write_values}"
|
||||
)
|
||||
|
||||
|
||||
async def test_seed_omitted_when_walk_reaches_root_async() -> None:
|
||||
"""Async equivalent of the root-walk seed-absence check."""
|
||||
async with AsyncSqliteSaver.from_conn_string(":memory:") as saver:
|
||||
config: RunnableConfig = {"configurable": {"thread_id": "root-async"}}
|
||||
graph = _delta_graph(saver)
|
||||
await _adrive(graph, config, 1)
|
||||
|
||||
history = [tup async for tup in saver.alist(config)]
|
||||
root_tup = history[-1]
|
||||
assert root_tup.parent_config is None
|
||||
|
||||
result = await saver.aget_delta_channel_history(
|
||||
config=root_tup.config, channels=["items"]
|
||||
)
|
||||
entry = result["items"]
|
||||
assert "seed" not in entry, f"root-walk should have no seed, got {entry}"
|
||||
assert entry["writes"] == []
|
||||
Generated
+69
-65
@@ -1,6 +1,10 @@
|
||||
version = 1
|
||||
revision = 3
|
||||
requires-python = ">=3.10"
|
||||
resolution-markers = [
|
||||
"python_full_version >= '3.15'",
|
||||
"python_full_version < '3.15'",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "aiosqlite"
|
||||
@@ -268,7 +272,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-checkpoint"
|
||||
version = "4.1.0a3"
|
||||
version = "4.1.0a4"
|
||||
source = { editable = "../checkpoint" }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
@@ -490,7 +494,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "mypy"
|
||||
version = "1.20.0"
|
||||
version = "1.20.2"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "librt", marker = "platform_python_implementation != 'PyPy'" },
|
||||
@@ -499,51 +503,51 @@ dependencies = [
|
||||
{ name = "tomli", marker = "python_full_version < '3.11'" },
|
||||
{ name = "typing-extensions" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/f8/5c/b0089fe7fef0a994ae5ee07029ced0526082c6cfaaa4c10d40a10e33b097/mypy-1.20.0.tar.gz", hash = "sha256:eb96c84efcc33f0b5e0e04beacf00129dd963b67226b01c00b9dfc8affb464c3", size = 3815028, upload-time = "2026-03-31T16:55:14.959Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/04/af/e3d4b3e9ec91a0ff9aabfdb38692952acf49bbb899c2e4c29acb3a6da3ae/mypy-1.20.2.tar.gz", hash = "sha256:e8222c26daaafd9e8626dec58ae36029f82585890589576f769a650dd20fd665", size = 3817349, upload-time = "2026-04-21T17:12:28.473Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/4d/a2/a965c8c3fcd4fa8b84ba0d46606181b0d0a1d50f274c67877f3e9ed4882c/mypy-1.20.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d99f515f95fd03a90875fdb2cca12ff074aa04490db4d190905851bdf8a549a8", size = 14430138, upload-time = "2026-03-31T16:52:37.843Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/53/6e/043477501deeb8eabbab7f1a2f6cac62cfb631806dc1d6862a04a7f5011b/mypy-1.20.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:bd0212976dc57a5bfeede7c219e7cd66568a32c05c9129686dd487c059c1b88a", size = 13311282, upload-time = "2026-03-31T16:55:11.021Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/65/aa/bd89b247b83128197a214f29f0632ff3c14f54d4cd70d144d157bd7d7d6e/mypy-1.20.0-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f8426d4d75d68714abc17a4292d922f6ba2cfb984b72c2278c437f6dae797865", size = 13750889, upload-time = "2026-03-31T16:52:02.909Z" },
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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{ url = "https://files.pythonhosted.org/packages/11/c1/a606911aee04c324ddaa883ae418f3569792fd3c4a10c50e0dd0a2311e1e/ruff-0.15.12-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:fb129f40f114f089ebe0ca56c0d251cf2061b17651d464bb6478dc01e69f11f5", size = 10447479, upload-time = "2026-04-24T18:16:51.677Z" },
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{ url = "https://files.pythonhosted.org/packages/9d/68/4201e8444f0894f21ab4aeeaee68aa4f10b51613514a20d80bd628d57e88/ruff-0.15.12-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b0c862b172d695db7598426b8af465e7e9ac00a3ea2a3630ee67eb82e366aaa6", size = 11234040, upload-time = "2026-04-24T18:17:16.529Z" },
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{ url = "https://files.pythonhosted.org/packages/34/ff/8a6d6cf4ccc23fd67060874e832c18919d1557a0611ebef03fdb01fff11e/ruff-0.15.12-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2849ea9f3484c3aca43a82f484210370319e7170df4dfe4843395ddf6c57bc33", size = 12087377, upload-time = "2026-04-24T18:17:04.944Z" },
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{ url = "https://files.pythonhosted.org/packages/85/f6/c669cf73f5152f623d34e69866a46d5e6185816b19fcd5b6dd8a2d299922/ruff-0.15.12-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9e77c7e51c07fe396826d5969a5b846d9cd4c402535835fb6e21ce8b28fef847", size = 11367784, upload-time = "2026-04-24T18:17:25.409Z" },
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{ url = "https://files.pythonhosted.org/packages/c2/8d/49afab3645e31e12c590acb6d3b5b69d7aab5b81926dbaf7461f9441f37a/ruff-0.15.12-py3-none-manylinux_2_31_riscv64.whl", hash = "sha256:9ba3b8f1afd7e2e43d8943e55f249e13f9682fde09711644a6e7290eb4f3e339", size = 11271770, upload-time = "2026-04-24T18:17:02.457Z" },
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{ url = "https://files.pythonhosted.org/packages/25/e7/cc9f16fd0f3b5fddcbd7ec3d6ae30c8f3fde1047f32a4093a98d633c6570/ruff-0.15.12-py3-none-musllinux_1_2_i686.whl", hash = "sha256:01da3988d225628b709493d7dc67c3b9b12c0210016b08690ef9bd27970b262b", size = 10953498, upload-time = "2026-04-24T18:17:20.674Z" },
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{ url = "https://files.pythonhosted.org/packages/72/7a/a9ba7f98c7a575978698f4230c5e8cc54bbc761af34f560818f933dafa0c/ruff-0.15.12-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:9cae0f92bd5700d1213188b31cd3bdd2b315361296d10b96b8e2337d3d11f53e", size = 11447765, upload-time = "2026-04-24T18:17:09.755Z" },
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{ url = "https://files.pythonhosted.org/packages/ea/f9/0ae446942c846b8266059ad8a30702a35afae55f5cdc54c5adf8d7afdc27/ruff-0.15.12-py3-none-win32.whl", hash = "sha256:d0185894e038d7043ba8fd6aee7499ece6462dc0ea9f1e260c7451807c714c20", size = 10657277, upload-time = "2026-04-24T18:17:18.591Z" },
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{ url = "https://files.pythonhosted.org/packages/33/f1/9614e03e1cdcbf9437570b5400ced8a720b5db22b28d8e0f1bda429f660d/ruff-0.15.12-py3-none-win_amd64.whl", hash = "sha256:c87a162d61ab3adca47c03f7f717c68672edec7d1b5499e652331780fe74950d", size = 11837758, upload-time = "2026-04-24T18:17:00.113Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/c0/98/6beb4b351e472e5f4c4613f7c35a5290b8be2497e183825310c4c3a3984b/ruff-0.15.12-py3-none-win_arm64.whl", hash = "sha256:a538f7a82d061cee7be55542aca1d86d1393d55d81d4fcc314370f4340930d4f", size = 11120821, upload-time = "2026-04-24T18:16:57.979Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
||||
@@ -13,14 +13,12 @@ from typing import (
|
||||
)
|
||||
|
||||
from langchain_core.runnables import RunnableConfig
|
||||
from typing_extensions import NotRequired
|
||||
|
||||
from langgraph.checkpoint.base.id import uuid6
|
||||
from langgraph.checkpoint.serde.base import SerializerProtocol, maybe_add_typed_methods
|
||||
from langgraph.checkpoint.serde.encrypted import EncryptedSerializer
|
||||
from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
|
||||
from langgraph.checkpoint.serde.types import (
|
||||
DELTA_SENTINEL as DELTA_SENTINEL,
|
||||
)
|
||||
from langgraph.checkpoint.serde.types import (
|
||||
ERROR,
|
||||
INTERRUPT,
|
||||
@@ -62,6 +60,16 @@ class CheckpointMetadata(TypedDict, total=False):
|
||||
"""
|
||||
run_id: str
|
||||
"""The ID of the run that created this checkpoint."""
|
||||
delta_updates_since_snapshot: dict[str, int]
|
||||
"""Per-channel update count since the last `_DeltaSnapshot` was written.
|
||||
|
||||
Maps channel name → number of supersteps that wrote to this channel
|
||||
since its last snapshot blob. Used by `pregel.create_checkpoint` to
|
||||
decide when to write the next snapshot (when the count reaches the
|
||||
channel's `snapshot_frequency`, snapshot fires and the count resets
|
||||
to 0). Absent on threads that don't use delta channels. Version-format
|
||||
independent — works for int, float, and string version schemes.
|
||||
"""
|
||||
|
||||
|
||||
ChannelVersions = dict[str, str | int | float]
|
||||
@@ -124,28 +132,26 @@ class CheckpointTuple(NamedTuple):
|
||||
pending_writes: list[PendingWrite] | None = None
|
||||
|
||||
|
||||
class _ChannelWritesHistory(NamedTuple):
|
||||
"""Result of `BaseCheckpointSaver._get_channel_writes_history`.
|
||||
class DeltaChannelHistory(TypedDict):
|
||||
"""Per-channel result entry from `BaseCheckpointSaver.get_delta_channel_history`.
|
||||
|
||||
Storage-level view of what one channel wrote across the ancestor chain
|
||||
of a target checkpoint:
|
||||
Storage-level view of what one channel contributed across the ancestor
|
||||
chain of a target checkpoint:
|
||||
|
||||
* `seed` — the nearest ancestor's stored blob value for this channel,
|
||||
or `DELTA_SENTINEL` if the walk reached the root without finding a
|
||||
stored value. A non-sentinel seed typically indicates a pre-delta
|
||||
snapshot preserved across a channel-type migration (e.g.
|
||||
`BinaryOperatorAggregate` storage extended under `DeltaChannel`).
|
||||
* `writes` — on-path deltas oldest→newest, one `PendingWrite` per
|
||||
step that wrote to this channel. Writes stored at the target
|
||||
checkpoint itself are pending for the next super-step and are
|
||||
excluded.
|
||||
|
||||
Experimental: method surface may change; the NamedTuple shape is the
|
||||
contract.
|
||||
* `writes` — on-path deltas oldest→newest as `PendingWrite` tuples.
|
||||
Always present; possibly empty. Already filtered to one channel.
|
||||
Writes stored at the target checkpoint itself are pending for the
|
||||
next super-step and are excluded.
|
||||
* `seed` — the stored value at the nearest ancestor whose
|
||||
`channel_values[ch]` is populated. Omitted if the walk reached the
|
||||
root without finding any stored value (consumer treats absence as
|
||||
"start empty"). Typically a `_DeltaSnapshot` for delta channels with
|
||||
finite snapshot frequency, or a plain value for threads migrated
|
||||
from a pre-delta channel type.
|
||||
"""
|
||||
|
||||
seed: Any
|
||||
writes: list[PendingWrite]
|
||||
seed: NotRequired[Any]
|
||||
|
||||
|
||||
class BaseCheckpointSaver(Generic[V]):
|
||||
@@ -486,103 +492,101 @@ class BaseCheckpointSaver(Generic[V]):
|
||||
"""
|
||||
raise NotImplementedError
|
||||
|
||||
def _get_tuple_raw(self, config: RunnableConfig) -> CheckpointTuple | None:
|
||||
"""Pure storage read used by `_get_channel_writes_history`.
|
||||
def get_delta_channel_history(
|
||||
self, *, config: RunnableConfig, channels: Sequence[str]
|
||||
) -> Mapping[str, DeltaChannelHistory]:
|
||||
"""Walk the parent chain returning per-channel writes + seed.
|
||||
|
||||
Must return the same value as `get_tuple` but must NOT trigger channel
|
||||
reconstruction; otherwise the channel-hydration path would re-enter
|
||||
`_get_channel_writes_history`. Override only if `get_tuple` itself
|
||||
performs channel hydration.
|
||||
"""
|
||||
return self.get_tuple(config)
|
||||
|
||||
async def _aget_tuple_raw(self, config: RunnableConfig) -> CheckpointTuple | None:
|
||||
"""Async version of `_get_tuple_raw`. See docstring there."""
|
||||
return await self.aget_tuple(config)
|
||||
|
||||
def _get_channel_writes_history(
|
||||
self, config: RunnableConfig, channel: str
|
||||
) -> _ChannelWritesHistory:
|
||||
"""**Experimental.** Query one channel's writes along the parent chain.
|
||||
|
||||
Storage-level query, not channel semantics: returns `(seed, writes)`
|
||||
reflecting what storage knows about a single channel across the
|
||||
ancestor chain of the target checkpoint identified by `config`.
|
||||
|
||||
* `writes` — on-path deltas oldest→newest as `PendingWrite` tuples.
|
||||
Writes stored at the target `checkpoint_id` itself are pending
|
||||
for the next super-step and are excluded.
|
||||
* `seed` — the nearest ancestor's stored blob value for this
|
||||
channel; `DELTA_SENTINEL` if the walk reached the root without
|
||||
finding a stored value. A non-sentinel seed typically indicates
|
||||
a pre-delta snapshot preserved across a channel-type migration.
|
||||
For each requested channel, walks ancestors of the checkpoint
|
||||
identified by `config` (following `parent_config`) and accumulates
|
||||
`pending_writes` for that channel. The walk terminates per-channel
|
||||
at the nearest ancestor whose `channel_values[ch]` is populated;
|
||||
that value is returned as `seed`. If the walk reaches the root
|
||||
without finding a stored value, `seed` is omitted from that
|
||||
channel's entry — the consumer treats the absence as "start
|
||||
empty."
|
||||
|
||||
Walks the **parent chain** (not `list(before=...)`): for forked
|
||||
threads, only on-path ancestors contribute.
|
||||
|
||||
Reference implementation walks `get_tuple` + `parent_config`,
|
||||
inspecting each ancestor's `channel_values[channel]` for the seed
|
||||
terminator. Savers with direct storage access (`InMemorySaver`,
|
||||
The default implementation walks `get_tuple` + `parent_config`
|
||||
once for all channels — each ancestor visited once, not once per
|
||||
channel. Savers with direct storage access (`InMemorySaver`,
|
||||
`PostgresSaver`) override for performance; the return contract is
|
||||
fixed here.
|
||||
|
||||
Underscore-prefixed because the method surface is experimental.
|
||||
"""
|
||||
collected: list[PendingWrite] = [] # newest first; reversed at the end
|
||||
target_tuple = self._get_tuple_raw(config)
|
||||
cursor_config: RunnableConfig | None = (
|
||||
target_tuple.parent_config if target_tuple else None
|
||||
)
|
||||
while cursor_config is not None:
|
||||
tup = self._get_tuple_raw(cursor_config)
|
||||
if tup is None:
|
||||
break
|
||||
# Collect this ancestor's writes FIRST — they encode the
|
||||
# transition from this ancestor's state to its child's, so
|
||||
# they must be included whether or not this ancestor is the
|
||||
# seed terminator.
|
||||
if tup.pending_writes:
|
||||
# Within a superstep, pending_writes are oldest→newest;
|
||||
# reverse to scan newest-first.
|
||||
for write in reversed(tup.pending_writes):
|
||||
if write[1] != channel:
|
||||
continue
|
||||
collected.append(write)
|
||||
# Seed terminator: any non-sentinel blob on an ancestor
|
||||
# establishes the reconstruction base. Stop here.
|
||||
ancestor_value = tup.checkpoint["channel_values"].get(channel)
|
||||
if ancestor_value is not None and ancestor_value is not DELTA_SENTINEL:
|
||||
collected.reverse()
|
||||
return _ChannelWritesHistory(seed=ancestor_value, writes=collected)
|
||||
cursor_config = tup.parent_config
|
||||
collected.reverse()
|
||||
return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=collected)
|
||||
Args:
|
||||
config: Configuration identifying the target checkpoint.
|
||||
channels: Channel names to walk for. Empty → empty mapping.
|
||||
|
||||
async def _aget_channel_writes_history(
|
||||
self, config: RunnableConfig, channel: str
|
||||
) -> _ChannelWritesHistory:
|
||||
"""Async version of `_get_channel_writes_history`. See docstring there."""
|
||||
collected: list[PendingWrite] = []
|
||||
target_tuple = await self._aget_tuple_raw(config)
|
||||
Returns:
|
||||
Per-channel `DeltaChannelHistory` for every name in `channels`.
|
||||
"""
|
||||
if not channels:
|
||||
return {}
|
||||
collected_by_ch: dict[str, list[PendingWrite]] = {c: [] for c in channels}
|
||||
seed_by_ch: dict[str, Any] = {}
|
||||
remaining: set[str] = set(channels)
|
||||
target_tuple = self.get_tuple(config)
|
||||
cursor_config: RunnableConfig | None = (
|
||||
target_tuple.parent_config if target_tuple else None
|
||||
)
|
||||
while cursor_config is not None:
|
||||
tup = await self._aget_tuple_raw(cursor_config)
|
||||
while cursor_config is not None and remaining:
|
||||
tup = self.get_tuple(cursor_config)
|
||||
if tup is None:
|
||||
break
|
||||
if tup.pending_writes:
|
||||
for write in reversed(tup.pending_writes):
|
||||
if write[1] != channel:
|
||||
continue
|
||||
collected.append(write)
|
||||
ancestor_value = tup.checkpoint["channel_values"].get(channel)
|
||||
if ancestor_value is not None and ancestor_value is not DELTA_SENTINEL:
|
||||
collected.reverse()
|
||||
return _ChannelWritesHistory(seed=ancestor_value, writes=collected)
|
||||
ch = write[1]
|
||||
if ch in remaining:
|
||||
collected_by_ch[ch].append(write)
|
||||
for ch in list(remaining):
|
||||
if ch in tup.checkpoint["channel_values"]:
|
||||
seed_by_ch[ch] = tup.checkpoint["channel_values"][ch]
|
||||
remaining.discard(ch)
|
||||
cursor_config = tup.parent_config
|
||||
collected.reverse()
|
||||
return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=collected)
|
||||
result: dict[str, DeltaChannelHistory] = {}
|
||||
for ch in channels:
|
||||
entry: DeltaChannelHistory = {"writes": list(reversed(collected_by_ch[ch]))}
|
||||
if ch in seed_by_ch:
|
||||
entry["seed"] = seed_by_ch[ch]
|
||||
result[ch] = entry
|
||||
return result
|
||||
|
||||
async def aget_delta_channel_history(
|
||||
self, *, config: RunnableConfig, channels: Sequence[str]
|
||||
) -> Mapping[str, DeltaChannelHistory]:
|
||||
"""Async version of `get_delta_channel_history`."""
|
||||
if not channels:
|
||||
return {}
|
||||
collected_by_ch: dict[str, list[PendingWrite]] = {c: [] for c in channels}
|
||||
seed_by_ch: dict[str, Any] = {}
|
||||
remaining: set[str] = set(channels)
|
||||
target_tuple = await self.aget_tuple(config)
|
||||
cursor_config: RunnableConfig | None = (
|
||||
target_tuple.parent_config if target_tuple else None
|
||||
)
|
||||
while cursor_config is not None and remaining:
|
||||
tup = await self.aget_tuple(cursor_config)
|
||||
if tup is None:
|
||||
break
|
||||
if tup.pending_writes:
|
||||
for write in reversed(tup.pending_writes):
|
||||
ch = write[1]
|
||||
if ch in remaining:
|
||||
collected_by_ch[ch].append(write)
|
||||
for ch in list(remaining):
|
||||
if ch in tup.checkpoint["channel_values"]:
|
||||
seed_by_ch[ch] = tup.checkpoint["channel_values"][ch]
|
||||
remaining.discard(ch)
|
||||
cursor_config = tup.parent_config
|
||||
result: dict[str, DeltaChannelHistory] = {}
|
||||
for ch in channels:
|
||||
entry: DeltaChannelHistory = {"writes": list(reversed(collected_by_ch[ch]))}
|
||||
if ch in seed_by_ch:
|
||||
entry["seed"] = seed_by_ch[ch]
|
||||
result[ch] = entry
|
||||
return result
|
||||
|
||||
def get_next_version(self, current: V | None, channel: None) -> V:
|
||||
"""Generate the next version ID for a channel.
|
||||
|
||||
@@ -6,7 +6,7 @@ import pickle
|
||||
import random
|
||||
import shutil
|
||||
from collections import defaultdict
|
||||
from collections.abc import AsyncIterator, Iterator, Sequence
|
||||
from collections.abc import AsyncIterator, Iterator, Mapping, Sequence
|
||||
from contextlib import AbstractAsyncContextManager, AbstractContextManager, ExitStack
|
||||
from types import TracebackType
|
||||
from typing import Any
|
||||
@@ -14,20 +14,18 @@ from typing import Any
|
||||
from langchain_core.runnables import RunnableConfig
|
||||
|
||||
from langgraph.checkpoint.base import (
|
||||
DELTA_SENTINEL,
|
||||
WRITES_IDX_MAP,
|
||||
BaseCheckpointSaver,
|
||||
ChannelVersions,
|
||||
Checkpoint,
|
||||
CheckpointMetadata,
|
||||
CheckpointTuple,
|
||||
DeltaChannelHistory,
|
||||
PendingWrite,
|
||||
SerializerProtocol,
|
||||
_ChannelWritesHistory,
|
||||
get_checkpoint_id,
|
||||
get_checkpoint_metadata,
|
||||
)
|
||||
from langgraph.checkpoint.serde.types import _DeltaSnapshot
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
@@ -141,17 +139,31 @@ class InMemorySaver(
|
||||
result[k] = self.serde.loads_typed(vv)
|
||||
return result
|
||||
|
||||
def _get_channel_writes_history(
|
||||
self, config: RunnableConfig, channel: str
|
||||
) -> _ChannelWritesHistory:
|
||||
def get_delta_channel_history(
|
||||
self, *, config: RunnableConfig, channels: Sequence[str]
|
||||
) -> Mapping[str, DeltaChannelHistory]:
|
||||
"""Override: walk the parent chain ONCE for all requested channels.
|
||||
|
||||
Each channel terminates independently at the nearest ancestor
|
||||
whose stored blob is non-empty. Other channels keep walking until
|
||||
they find their own terminator or hit the root.
|
||||
|
||||
Pre-delta plain-value blobs subsume their ancestor's pending
|
||||
writes (the value already includes them); `_DeltaSnapshot` blobs
|
||||
do not (snapshot is the value AT that ancestor, prior to its own
|
||||
pending writes that produce the child).
|
||||
"""
|
||||
if not channels:
|
||||
return {}
|
||||
# Imported lazily to avoid a hard checkpoint→serde-types coupling at
|
||||
# module import; only this override needs the runtime check.
|
||||
from langgraph.checkpoint.serde.types import _DeltaSnapshot
|
||||
|
||||
thread_id = config["configurable"]["thread_id"]
|
||||
checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
|
||||
checkpoint_id = config["configurable"].get("checkpoint_id", "")
|
||||
ns_storage = self.storage.get(thread_id, {}).get(checkpoint_ns, {})
|
||||
# Walk the parent chain newest→oldest. Skip the target itself —
|
||||
# writes stored AT `checkpoint_id` are pending for the next step
|
||||
# (pregel applies them via `apply_writes`; they aren't part of the
|
||||
# snapshot value AT `checkpoint_id`).
|
||||
|
||||
chain: list[str] = []
|
||||
target_entry = ns_storage.get(checkpoint_id)
|
||||
current: str | None = target_entry[2] if target_entry is not None else None
|
||||
@@ -162,77 +174,64 @@ class InMemorySaver(
|
||||
chain.append(current)
|
||||
_, _, parent = entry
|
||||
current = parent
|
||||
# Scan newest→oldest. A pre-delta blob on an ancestor terminates the
|
||||
# walk and is bound as `seed`; without this, a thread migrated from
|
||||
# pre-delta storage would replay ancestor writes all the way to the
|
||||
# root AND miss any value that lived only in the old blob (e.g. from
|
||||
# `update_state`).
|
||||
#
|
||||
# At each ancestor, check the blob BEFORE processing its pending
|
||||
# writes: a pre-delta blob represents the state AT that ancestor,
|
||||
# which already subsumes any writes stored under it. Processing
|
||||
# those writes first would fold them into the reconstructed value
|
||||
# twice (once via the blob, once via replay).
|
||||
collected: list[PendingWrite] = [] # newest first
|
||||
for cp_id in chain: # newest → oldest
|
||||
|
||||
collected_by_ch: dict[str, list[PendingWrite]] = {c: [] for c in channels}
|
||||
seed_by_ch: dict[str, Any] = {}
|
||||
remaining: set[str] = set(channels)
|
||||
|
||||
for cp_id in chain:
|
||||
if not remaining:
|
||||
break
|
||||
entry = ns_storage.get(cp_id)
|
||||
if entry is not None:
|
||||
ckpt = self.serde.loads_typed(entry[0])
|
||||
ver = ckpt.get("channel_versions", {}).get(channel)
|
||||
if ver is not None:
|
||||
blob_entry = self.blobs.get(
|
||||
(thread_id, checkpoint_ns, channel, ver)
|
||||
)
|
||||
if blob_entry is not None and blob_entry[0] != "empty":
|
||||
blob_value = self.serde.loads_typed(blob_entry)
|
||||
if blob_value is not DELTA_SENTINEL:
|
||||
if isinstance(blob_value, _DeltaSnapshot):
|
||||
# Step-based snapshot: the blob is state AT this
|
||||
# ancestor, but the ancestor's pending_writes
|
||||
# encode the NEXT step's transition and are NOT
|
||||
# subsumed by the snapshot — collect them first.
|
||||
step_writes = self.writes.get(
|
||||
(thread_id, checkpoint_ns, cp_id), {}
|
||||
)
|
||||
for (_task_id, _idx), (
|
||||
tid,
|
||||
ch,
|
||||
serialized,
|
||||
_,
|
||||
) in sorted(step_writes.items(), reverse=True):
|
||||
if ch != channel:
|
||||
continue
|
||||
collected.append(
|
||||
(tid, ch, self.serde.loads_typed(serialized))
|
||||
)
|
||||
collected.reverse()
|
||||
return _ChannelWritesHistory(
|
||||
seed=blob_value, writes=collected
|
||||
)
|
||||
# Pre-delta blob: state AT this ancestor already
|
||||
# subsumes its pending_writes — skip them.
|
||||
collected.reverse()
|
||||
return _ChannelWritesHistory(
|
||||
seed=blob_value, writes=collected
|
||||
)
|
||||
ckpt = self.serde.loads_typed(entry[0]) if entry is not None else None
|
||||
|
||||
terminated_here: set[str] = set()
|
||||
blob_value_by_ch: dict[str, Any] = {}
|
||||
if ckpt is not None:
|
||||
versions = ckpt.get("channel_versions", {})
|
||||
for ch in remaining:
|
||||
ver = versions.get(ch)
|
||||
if ver is None:
|
||||
continue
|
||||
blob_entry = self.blobs.get((thread_id, checkpoint_ns, ch, ver))
|
||||
if blob_entry is None or blob_entry[0] == "empty":
|
||||
continue
|
||||
blob_value_by_ch[ch] = self.serde.loads_typed(blob_entry)
|
||||
terminated_here.add(ch)
|
||||
|
||||
step_writes = self.writes.get((thread_id, checkpoint_ns, cp_id), {})
|
||||
# Within a superstep, sorted by (task_id, idx) = oldest → newest;
|
||||
# reverse for newest-first scan.
|
||||
for (_task_id, _idx), (tid, ch, serialized, _) in sorted(
|
||||
step_writes.items(), reverse=True
|
||||
):
|
||||
if ch != channel:
|
||||
if ch not in remaining:
|
||||
continue
|
||||
val = self.serde.loads_typed(serialized)
|
||||
collected.append((tid, ch, val))
|
||||
collected.reverse()
|
||||
return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=collected)
|
||||
blob_value = blob_value_by_ch.get(ch)
|
||||
if blob_value is not None and not isinstance(
|
||||
blob_value, _DeltaSnapshot
|
||||
):
|
||||
continue
|
||||
collected_by_ch[ch].append(
|
||||
(tid, ch, self.serde.loads_typed(serialized))
|
||||
)
|
||||
|
||||
async def _aget_channel_writes_history(
|
||||
self, config: RunnableConfig, channel: str
|
||||
) -> _ChannelWritesHistory:
|
||||
return self._get_channel_writes_history(config, channel)
|
||||
for ch in terminated_here:
|
||||
seed_by_ch[ch] = blob_value_by_ch[ch]
|
||||
remaining.discard(ch)
|
||||
|
||||
result: dict[str, DeltaChannelHistory] = {}
|
||||
for ch in channels:
|
||||
entry_h: DeltaChannelHistory = {
|
||||
"writes": list(reversed(collected_by_ch[ch]))
|
||||
}
|
||||
if ch in seed_by_ch:
|
||||
entry_h["seed"] = seed_by_ch[ch]
|
||||
result[ch] = entry_h
|
||||
return result
|
||||
|
||||
async def aget_delta_channel_history(
|
||||
self, *, config: RunnableConfig, channels: Sequence[str]
|
||||
) -> Mapping[str, DeltaChannelHistory]:
|
||||
return self.get_delta_channel_history(config=config, channels=channels)
|
||||
|
||||
def get_tuple(self, config: RunnableConfig) -> CheckpointTuple | None:
|
||||
"""Get a checkpoint tuple from the in-memory storage.
|
||||
@@ -452,9 +451,7 @@ class InMemorySaver(
|
||||
values: dict[str, Any] = c.pop("channel_values") # type: ignore[misc]
|
||||
for k, v in new_versions.items():
|
||||
self.blobs[(thread_id, checkpoint_ns, k, v)] = (
|
||||
self.serde.dumps_typed(values[k])
|
||||
if k in values and values[k] is not DELTA_SENTINEL
|
||||
else ("empty", b"")
|
||||
self.serde.dumps_typed(values[k]) if k in values else ("empty", b"")
|
||||
)
|
||||
self.storage[thread_id][checkpoint_ns].update(
|
||||
{
|
||||
|
||||
@@ -16,28 +16,13 @@ RESUME = "__resume__"
|
||||
TASKS = "__pregel_tasks"
|
||||
|
||||
|
||||
class _DeltaSentinel:
|
||||
"""In-memory marker for a DeltaChannel field with no snapshot.
|
||||
|
||||
Never serialized to storage — checkpointers strip it before writing.
|
||||
Compare with `is DELTA_SENTINEL`; always the same module-level instance.
|
||||
"""
|
||||
|
||||
__slots__ = ()
|
||||
|
||||
def __repr__(self) -> str:
|
||||
return "DELTA_SENTINEL"
|
||||
|
||||
|
||||
DELTA_SENTINEL = _DeltaSentinel()
|
||||
|
||||
|
||||
class _DeltaSnapshot(NamedTuple):
|
||||
"""Snapshot blob for a DeltaChannel with finite snapshot_frequency.
|
||||
|
||||
Stored in checkpoint_blobs via the `EXT_DELTA_SNAPSHOT` msgpack ext code.
|
||||
The ancestor walk in `_get_channel_writes_history` terminates when it
|
||||
encounters this type (any non-sentinel blob stops the walk).
|
||||
The ancestor walk in `BaseCheckpointSaver.get_delta_channel_history` terminates
|
||||
when it encounters this type (any non-empty channel_values entry stops
|
||||
the walk for that channel).
|
||||
|
||||
`from_checkpoint` reconstructs the channel value directly from `.value`
|
||||
without replaying writes — the snapshot IS the accumulated state.
|
||||
|
||||
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
|
||||
|
||||
[project]
|
||||
name = "langgraph-checkpoint"
|
||||
version = "4.1.0a3"
|
||||
version = "4.1.0a4"
|
||||
description = "Library with base interfaces for LangGraph checkpoint savers."
|
||||
authors = []
|
||||
requires-python = ">=3.10"
|
||||
|
||||
@@ -6,7 +6,6 @@ from langchain_core.runnables import RunnableConfig
|
||||
from pydantic import BaseModel
|
||||
|
||||
from langgraph.checkpoint.base import (
|
||||
DELTA_SENTINEL,
|
||||
Checkpoint,
|
||||
CheckpointMetadata,
|
||||
create_checkpoint,
|
||||
@@ -335,9 +334,14 @@ class TestInMemorySaverDeltaChannel:
|
||||
assert channel not in result
|
||||
|
||||
def test_get_channel_writes_collects_ancestor_writes_only(self) -> None:
|
||||
"""_get_channel_writes_history collects ancestor writes oldest→newest,
|
||||
and excludes writes stored at the target checkpoint itself (those are
|
||||
pending writes for the next step, applied separately by pregel)."""
|
||||
"""`get_delta_channel_history` collects ancestor writes oldest→newest, and
|
||||
excludes writes stored at the target checkpoint itself (those are
|
||||
pending writes for the next step, applied separately by pregel).
|
||||
|
||||
When the walk reaches the root without finding any stored value for
|
||||
the channel, the per-channel entry has no `seed` key (TypedDict
|
||||
absence indicates "start empty").
|
||||
"""
|
||||
saver = InMemorySaver()
|
||||
serde = JsonPlusSerializer()
|
||||
|
||||
@@ -375,9 +379,12 @@ class TestInMemorySaverDeltaChannel:
|
||||
"checkpoint_id": "cp2",
|
||||
}
|
||||
}
|
||||
result = saver._get_channel_writes_history(config, channel)
|
||||
assert result.seed is DELTA_SENTINEL
|
||||
values = [v for _, _, v in result.writes]
|
||||
result = saver.get_delta_channel_history(config=config, channels=[channel])[
|
||||
channel
|
||||
]
|
||||
# Walk reached the root without finding a stored value → no `seed` key.
|
||||
assert "seed" not in result
|
||||
values = [v for _, _, v in result["writes"]]
|
||||
assert values == [{"content": "hi"}]
|
||||
|
||||
def test_get_channel_writes_at_root_returns_empty(self) -> None:
|
||||
@@ -405,15 +412,18 @@ class TestInMemorySaverDeltaChannel:
|
||||
"checkpoint_id": "cp1",
|
||||
}
|
||||
}
|
||||
result = saver._get_channel_writes_history(config, channel)
|
||||
assert result.seed is DELTA_SENTINEL
|
||||
assert result.writes == []
|
||||
result = saver.get_delta_channel_history(config=config, channels=[channel])[
|
||||
channel
|
||||
]
|
||||
# No ancestors → no seed found, no writes accumulated.
|
||||
assert "seed" not in result
|
||||
assert result["writes"] == []
|
||||
|
||||
|
||||
class TestBaseFallbackGetChannelWrites:
|
||||
"""Exercises the `BaseCheckpointSaver._get_channel_writes_history` default
|
||||
"""Exercises the `BaseCheckpointSaver.get_delta_channel_history` default
|
||||
implementation — the path third-party savers inherit when they don't
|
||||
override `_get_channel_writes_history` themselves.
|
||||
override `get_delta_channel_history` themselves.
|
||||
|
||||
Regression guard for a bug where the fallback passed the caller's config
|
||||
(with `checkpoint_id`) straight to `self.list()`, which most savers
|
||||
@@ -429,11 +439,11 @@ class TestBaseFallbackGetChannelWrites:
|
||||
"""
|
||||
|
||||
class _ThirdPartyStyleSaver(InMemorySaver):
|
||||
_get_channel_writes_history = (
|
||||
InMemorySaver.__mro__[1]._get_channel_writes_history # type: ignore[attr-defined]
|
||||
get_delta_channel_history = (
|
||||
InMemorySaver.__mro__[1].get_delta_channel_history # type: ignore[attr-defined]
|
||||
)
|
||||
_aget_channel_writes_history = (
|
||||
InMemorySaver.__mro__[1]._aget_channel_writes_history # type: ignore[attr-defined]
|
||||
aget_delta_channel_history = (
|
||||
InMemorySaver.__mro__[1].aget_delta_channel_history # type: ignore[attr-defined]
|
||||
)
|
||||
|
||||
saver = _ThirdPartyStyleSaver()
|
||||
@@ -477,10 +487,13 @@ class TestBaseFallbackGetChannelWrites:
|
||||
}
|
||||
}
|
||||
|
||||
result = saver._get_channel_writes_history(config, "messages")
|
||||
result = saver.get_delta_channel_history(config=config, channels=["messages"])[
|
||||
"messages"
|
||||
]
|
||||
|
||||
assert result.seed is DELTA_SENTINEL
|
||||
values = [v for _, _, v in result.writes]
|
||||
# Walk reached root without a stored value → `seed` key absent.
|
||||
assert "seed" not in result
|
||||
values = [v for _, _, v in result["writes"]]
|
||||
assert values == [{"content": "first"}, {"content": "second"}]
|
||||
|
||||
async def test_async_fallback_returns_ancestor_writes_oldest_first(self) -> None:
|
||||
@@ -494,17 +507,19 @@ class TestBaseFallbackGetChannelWrites:
|
||||
}
|
||||
}
|
||||
|
||||
result = await saver._aget_channel_writes_history(config, "messages")
|
||||
result = (
|
||||
await saver.aget_delta_channel_history(config=config, channels=["messages"])
|
||||
)["messages"]
|
||||
|
||||
assert result.seed is DELTA_SENTINEL
|
||||
values = [v for _, _, v in result.writes]
|
||||
assert "seed" not in result
|
||||
values = [v for _, _, v in result["writes"]]
|
||||
assert values == [{"content": "first"}, {"content": "second"}]
|
||||
|
||||
async def test_async_fallback_concurrent_tasks_do_not_interfere(self) -> None:
|
||||
"""Regression: the re-entrancy guard must be task-local, not thread-local.
|
||||
|
||||
Two concurrent `_aget_channel_writes_history` calls on the same
|
||||
event-loop thread must each see their full reconstructed writes. A
|
||||
Two concurrent `aget_delta_channel_history` calls on the same event-loop
|
||||
thread must each see their full reconstructed writes. A
|
||||
`threading.local()` guard would let whichever task set it first
|
||||
short-circuit the other to `writes=[]`.
|
||||
"""
|
||||
@@ -533,27 +548,32 @@ class TestBaseFallbackGetChannelWrites:
|
||||
}
|
||||
|
||||
results = await asyncio.gather(
|
||||
saver._aget_channel_writes_history(config, "messages"),
|
||||
saver._aget_channel_writes_history(config, "messages"),
|
||||
saver.aget_delta_channel_history(config=config, channels=["messages"]),
|
||||
saver.aget_delta_channel_history(config=config, channels=["messages"]),
|
||||
)
|
||||
|
||||
expected_values = [{"content": "first"}, {"content": "second"}]
|
||||
for result in results:
|
||||
assert result.seed is DELTA_SENTINEL
|
||||
values = [v for _, _, v in result.writes]
|
||||
for result_map in results:
|
||||
result = result_map["messages"]
|
||||
assert "seed" not in result
|
||||
values = [v for _, _, v in result["writes"]]
|
||||
assert values == expected_values
|
||||
|
||||
|
||||
class TestPreDeltaBlobTerminator:
|
||||
"""Verify the pre-delta blob terminator: when the ancestor walk hits a
|
||||
checkpoint whose blob for the channel is a real value (not
|
||||
DELTA_SENTINEL), reconstruction seeds from it and stops. This guards
|
||||
checkpoint whose blob for the channel is a real value, reconstruction
|
||||
seeds from it and stops. This guards
|
||||
|
||||
* back-compat: a thread written by pre-delta code, then extended under
|
||||
delta — reconstruction must return the correct value without walking
|
||||
past the last pre-delta ancestor;
|
||||
* perf: without the terminator, every reconstruct-after-migration would
|
||||
walk all the way to the thread root.
|
||||
|
||||
Under the new public API a found seed populates `seed` in the
|
||||
`DeltaChannelHistory` TypedDict; absence of the `seed` key means the walk
|
||||
reached root without finding a stored value.
|
||||
"""
|
||||
|
||||
def _build_mixed_thread(self) -> tuple[InMemorySaver, str, str, str, str]:
|
||||
@@ -625,14 +645,16 @@ class TestPreDeltaBlobTerminator:
|
||||
}
|
||||
}
|
||||
|
||||
result = saver._get_channel_writes_history(config, channel)
|
||||
result = saver.get_delta_channel_history(config=config, channels=[channel])[
|
||||
channel
|
||||
]
|
||||
|
||||
# Seed came from the pre-delta blob at cp1.
|
||||
assert result.seed == ["A"]
|
||||
assert result["seed"] == ["A"]
|
||||
# Delta-era writes from cp2 replay through the reducer on top of seed.
|
||||
# cp3 is the target — its own write is pending for the NEXT step and
|
||||
# must be excluded.
|
||||
values = [v for _, _, v in result.writes]
|
||||
values = [v for _, _, v in result["writes"]]
|
||||
assert values == ["B"]
|
||||
|
||||
def test_pre_delta_blob_terminates_walk_before_older_writes(self) -> None:
|
||||
@@ -647,9 +669,11 @@ class TestPreDeltaBlobTerminator:
|
||||
}
|
||||
}
|
||||
|
||||
result = saver._get_channel_writes_history(config, channel)
|
||||
result = saver.get_delta_channel_history(config=config, channels=[channel])[
|
||||
channel
|
||||
]
|
||||
|
||||
values = [v for _, _, v in result.writes]
|
||||
values = [v for _, _, v in result["writes"]]
|
||||
# The pre-delta write under cp1 must not appear (the blob subsumes it).
|
||||
assert "PRE-DELTA-WRITE" not in values
|
||||
# And the pending write at the target is never folded in.
|
||||
|
||||
Generated
+1
-1
@@ -286,7 +286,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-checkpoint"
|
||||
version = "4.1.0a3"
|
||||
version = "4.1.0a4"
|
||||
source = { editable = "." }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
|
||||
@@ -21,25 +21,25 @@
|
||||
"test:all": "yarn test && yarn test:int && yarn lint:langgraph"
|
||||
},
|
||||
"dependencies": {
|
||||
"@langchain/core": "^1.1.38",
|
||||
"@langchain/langgraph": "^1.2.6"
|
||||
"@langchain/core": "^1.1.42",
|
||||
"@langchain/langgraph": "^1.2.9"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@eslint/eslintrc": "^3.3.5",
|
||||
"@eslint/js": "^10.0.1",
|
||||
"@tsconfig/recommended": "^1.0.13",
|
||||
"@types/jest": "^30.0.0",
|
||||
"@typescript-eslint/eslint-plugin": "^8.58.0",
|
||||
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@@ -1098,100 +1097,100 @@
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|
||||
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|
||||
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|
||||
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|
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|
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|
||||
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|
||||
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|
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|
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
ts-api-utils "^2.5.0"
|
||||
|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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||||
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|
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|
||||
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|
||||
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|
||||
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
version "8.59.1"
|
||||
resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-8.59.1.tgz#b5cba576287a3eeb0b400b62813189abcc3f976a"
|
||||
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||||
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|
||||
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|
||||
eslint-visitor-keys "^5.0.0"
|
||||
|
||||
"@ungap/structured-clone@^1.3.0":
|
||||
@@ -1909,10 +1908,10 @@ doctrine@^2.1.0:
|
||||
dependencies:
|
||||
esutils "^2.0.2"
|
||||
|
||||
dotenv@^17.3.1:
|
||||
version "17.3.1"
|
||||
resolved "https://registry.yarnpkg.com/dotenv/-/dotenv-17.3.1.tgz#2706f5b0165e45a1503348187b8468f87fe6aae2"
|
||||
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||||
dotenv@^17.4.2:
|
||||
version "17.4.2"
|
||||
resolved "https://registry.yarnpkg.com/dotenv/-/dotenv-17.4.2.tgz#c07e54a746e11eba021dd9e1047ced5afdc1c034"
|
||||
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||||
|
||||
dunder-proto@^1.0.0, dunder-proto@^1.0.1:
|
||||
version "1.0.1"
|
||||
@@ -2263,17 +2262,17 @@ eslint-visitor-keys@^5.0.0, eslint-visitor-keys@^5.0.1:
|
||||
resolved "https://registry.yarnpkg.com/eslint-visitor-keys/-/eslint-visitor-keys-5.0.1.tgz#9e3c9489697824d2d4ce3a8ad12628f91e9f59be"
|
||||
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||||
|
||||
eslint@^10.1.0:
|
||||
version "10.1.0"
|
||||
resolved "https://registry.yarnpkg.com/eslint/-/eslint-10.1.0.tgz#9ca98e654e642ab2e1af6d1e9d8613857ac341b4"
|
||||
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||||
eslint@^10.2.1:
|
||||
version "10.2.1"
|
||||
resolved "https://registry.yarnpkg.com/eslint/-/eslint-10.2.1.tgz#224b2a6caeb34473eddcf918762363e2e063222a"
|
||||
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dependencies:
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|
||||
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|
||||
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|
||||
"@eslint/config-helpers" "^0.5.3"
|
||||
"@eslint/core" "^1.1.1"
|
||||
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|
||||
"@eslint/config-array" "^0.23.5"
|
||||
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|
||||
"@eslint/core" "^1.2.1"
|
||||
"@eslint/plugin-kit" "^0.7.1"
|
||||
"@humanfs/node" "^0.16.6"
|
||||
"@humanwhocodes/module-importer" "^1.0.1"
|
||||
"@humanwhocodes/retry" "^0.4.2"
|
||||
@@ -2683,7 +2682,7 @@ graceful-fs@^4.2.11:
|
||||
resolved "https://registry.yarnpkg.com/graceful-fs/-/graceful-fs-4.2.11.tgz#4183e4e8bf08bb6e05bbb2f7d2e0c8f712ca40e3"
|
||||
integrity sha512-RbJ5/jmFcNNCcDV5o9eTnBLJ/HszWV0P73bc+Ff4nS/rJj+YaS6IGyiOL0VoBYX+l1Wrl3k63h/KrH+nhJ0XvQ==
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||||
|
||||
handlebars@^4.7.8:
|
||||
handlebars@^4.7.9:
|
||||
version "4.7.9"
|
||||
resolved "https://registry.yarnpkg.com/handlebars/-/handlebars-4.7.9.tgz#6f139082ab58dc4e5a0e51efe7db5ae890d56a0f"
|
||||
integrity sha512-4E71E0rpOaQuJR2A3xDZ+GM1HyWYv1clR58tC8emQNeQe3RH7MAzSbat+V0wG78LQBo6m6bzSG/L4pBuCsgnUQ==
|
||||
@@ -4130,10 +4129,10 @@ prettier-linter-helpers@^1.0.1:
|
||||
dependencies:
|
||||
fast-diff "^1.1.2"
|
||||
|
||||
prettier@^3.8.1:
|
||||
version "3.8.1"
|
||||
resolved "https://registry.yarnpkg.com/prettier/-/prettier-3.8.1.tgz#edf48977cf991558f4fcbd8a3ba6015ba2a3a173"
|
||||
integrity sha512-UOnG6LftzbdaHZcKoPFtOcCKztrQ57WkHDeRD9t/PTQtmT0NHSeWWepj6pS0z/N7+08BHFDQVUrfmfMRcZwbMg==
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prettier@^3.8.3:
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||||
version "3.8.3"
|
||||
resolved "https://registry.yarnpkg.com/prettier/-/prettier-3.8.3.tgz#560f2de55bf01b4c0503bc629d5df99b9a1d09b0"
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||||
|
||||
pretty-format@30.2.0, pretty-format@^30.0.0:
|
||||
version "30.2.0"
|
||||
@@ -4287,7 +4286,7 @@ semver@^6.3.1:
|
||||
resolved "https://registry.yarnpkg.com/semver/-/semver-6.3.1.tgz#556d2ef8689146e46dcea4bfdd095f3434dffcb4"
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semver@^7.5.3, semver@^7.5.4, semver@^7.7.2, semver@^7.7.3:
|
||||
semver@^7.5.3, semver@^7.5.4, semver@^7.7.2, semver@^7.7.3, semver@^7.7.4:
|
||||
version "7.7.4"
|
||||
resolved "https://registry.yarnpkg.com/semver/-/semver-7.7.4.tgz#28464e36060e991fa7a11d0279d2d3f3b57a7e8a"
|
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@@ -4623,18 +4622,18 @@ ts-api-utils@^2.5.0:
|
||||
resolved "https://registry.yarnpkg.com/ts-api-utils/-/ts-api-utils-2.5.0.tgz#4acd4a155e22734990a5ed1fe9e97f113bcb37c1"
|
||||
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ts-jest@^29.4.6:
|
||||
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|
||||
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|
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ts-jest@^29.4.9:
|
||||
version "29.4.9"
|
||||
resolved "https://registry.yarnpkg.com/ts-jest/-/ts-jest-29.4.9.tgz#47dc33d0f5c36bddcedd16afefae285e0b049d2d"
|
||||
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||||
dependencies:
|
||||
bs-logger "^0.2.6"
|
||||
fast-json-stable-stringify "^2.1.0"
|
||||
handlebars "^4.7.8"
|
||||
handlebars "^4.7.9"
|
||||
json5 "^2.2.3"
|
||||
lodash.memoize "^4.1.2"
|
||||
make-error "^1.3.6"
|
||||
semver "^7.7.3"
|
||||
semver "^7.7.4"
|
||||
type-fest "^4.41.0"
|
||||
yargs-parser "^21.1.1"
|
||||
|
||||
@@ -4854,11 +4853,6 @@ uuid@10.0.0, uuid@^10.0.0:
|
||||
resolved "https://registry.yarnpkg.com/uuid/-/uuid-10.0.0.tgz#5a95aa454e6e002725c79055fd42aaba30ca6294"
|
||||
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||||
|
||||
uuid@^11.1.0:
|
||||
version "11.1.0"
|
||||
resolved "https://registry.yarnpkg.com/uuid/-/uuid-11.1.0.tgz#9549028be1753bb934fc96e2bca09bb4105ae912"
|
||||
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||||
|
||||
uuid@^13.0.0:
|
||||
version "13.0.0"
|
||||
resolved "https://registry.yarnpkg.com/uuid/-/uuid-13.0.0.tgz#263dc341b19b4d755eb8fe36b78d95a6b65707e8"
|
||||
|
||||
@@ -9,8 +9,8 @@
|
||||
},
|
||||
"dependencies": {
|
||||
"@js-monorepo-example/shared": "*",
|
||||
"@langchain/core": "^1.1.38",
|
||||
"@langchain/langgraph": "^1.2.6"
|
||||
"@langchain/core": "^1.1.42",
|
||||
"@langchain/langgraph": "^1.2.9"
|
||||
},
|
||||
"devDependencies": {
|
||||
"typescript": "^5.9.3"
|
||||
|
||||
@@ -17,18 +17,18 @@
|
||||
"lint": "eslint 'apps/**/*.ts' 'libs/**/*.ts'"
|
||||
},
|
||||
"devDependencies": {
|
||||
"turbo": "^2.9.3",
|
||||
"turbo": "^2.9.7",
|
||||
"typescript": "^5.9.3",
|
||||
"@tsconfig/recommended": "^1.0.13",
|
||||
"@eslint/eslintrc": "^3.3.5",
|
||||
"@eslint/js": "^10.0.1",
|
||||
"eslint": "^10.1.0",
|
||||
"eslint": "^10.2.1",
|
||||
"eslint-config-prettier": "^10.1.8",
|
||||
"eslint-plugin-import": "^2.27.5",
|
||||
"eslint-plugin-no-instanceof": "^1.0.1",
|
||||
"eslint-plugin-prettier": "^5.5.5",
|
||||
"@typescript-eslint/eslint-plugin": "^8.58.0",
|
||||
"@typescript-eslint/parser": "^8.58.0",
|
||||
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|
||||
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|
||||
"@typescript-eslint/parser": "^8.59.1",
|
||||
"prettier": "^3.8.3"
|
||||
}
|
||||
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|
||||
|
||||
@@ -19,26 +19,26 @@
|
||||
resolved "https://registry.yarnpkg.com/@eslint-community/regexpp/-/regexpp-4.12.2.tgz#bccdf615bcf7b6e8db830ec0b8d21c9a25de597b"
|
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"@eslint/config-array@^0.23.3":
|
||||
version "0.23.3"
|
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resolved "https://registry.yarnpkg.com/@eslint/config-array/-/config-array-0.23.3.tgz#3f4a93dd546169c09130cbd10f2415b13a20a219"
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|
||||
debug "^4.3.1"
|
||||
minimatch "^10.2.4"
|
||||
|
||||
"@eslint/config-helpers@^0.5.3":
|
||||
version "0.5.3"
|
||||
resolved "https://registry.yarnpkg.com/@eslint/config-helpers/-/config-helpers-0.5.3.tgz#721fe6bbb90d74b0c80d6ff2428e5bbcb002becb"
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|
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|
||||
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|
||||
version "1.2.1"
|
||||
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||||
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|
||||
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|
||||
|
||||
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|
||||
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|
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|
||||
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|
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||||
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||||
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|
||||
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|
||||
levn "^0.4.1"
|
||||
|
||||
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|
||||
@@ -103,10 +103,10 @@
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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||||
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dependencies:
|
||||
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|
||||
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|
||||
@@ -117,7 +117,6 @@
|
||||
langsmith ">=0.5.0 <1.0.0"
|
||||
mustache "^4.2.0"
|
||||
p-queue "^6.6.2"
|
||||
uuid "^11.1.0"
|
||||
zod "^3.25.76 || ^4"
|
||||
|
||||
"@langchain/langgraph-checkpoint@^1.0.1":
|
||||
@@ -127,23 +126,23 @@
|
||||
dependencies:
|
||||
uuid "^10.0.0"
|
||||
|
||||
"@langchain/langgraph-sdk@~1.8.1":
|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
p-queue "^9.0.1"
|
||||
p-retry "^7.1.1"
|
||||
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|
||||
|
||||
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|
||||
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|
||||
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||||
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"@langchain/langgraph@^1.2.9":
|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
uuid "^10.0.0"
|
||||
|
||||
@@ -167,35 +166,35 @@
|
||||
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||||
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||||
resolved "https://registry.yarnpkg.com/@turbo/darwin-64/-/darwin-64-2.9.3.tgz#5d782d341ddebc20822d09ba1393238d4467ae7b"
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||||
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resolved "https://registry.yarnpkg.com/@turbo/darwin-64/-/darwin-64-2.9.7.tgz#46fddae01ea7817192dc6ff36a678cc3879b753b"
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resolved "https://registry.yarnpkg.com/@turbo/darwin-arm64/-/darwin-arm64-2.9.3.tgz#75cd662d9c2a572532ce82d7cae1a30e2497d693"
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resolved "https://registry.yarnpkg.com/@turbo/linux-64/-/linux-64-2.9.7.tgz#25ee9a2cb3042498a3203e14653b14041105020f"
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"@turbo/windows-64@2.9.3":
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version "2.9.3"
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resolved "https://registry.yarnpkg.com/@turbo/windows-64/-/windows-64-2.9.3.tgz#a7812e4f33972f74daed93b2ac8845f88a68c775"
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"@turbo/windows-64@2.9.7":
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version "2.9.7"
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resolved "https://registry.yarnpkg.com/@turbo/windows-64/-/windows-64-2.9.7.tgz#900645776fa44ff8333e801d890992736f6dbc72"
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version "2.9.7"
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resolved "https://registry.yarnpkg.com/@turbo/windows-arm64/-/windows-arm64-2.9.7.tgz#e678d73fdbcbb12a679403fe7ba070fb67f37810"
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version "4.3.1"
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ts-api-utils "^2.5.0"
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|
||||
"@typescript-eslint/parser@^8.58.0":
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version "8.58.0"
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|
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|
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|
||||
debug "^4.4.3"
|
||||
|
||||
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|
||||
version "8.58.0"
|
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version "8.59.1"
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||||
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|
||||
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|
||||
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|
||||
debug "^4.4.3"
|
||||
|
||||
"@typescript-eslint/scope-manager@8.58.0":
|
||||
version "8.58.0"
|
||||
resolved "https://registry.yarnpkg.com/@typescript-eslint/scope-manager/-/scope-manager-8.58.0.tgz#e304142775e49a1b7ac3c8bf2536714447c72cab"
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dependencies:
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||||
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|
||||
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|
||||
"@typescript-eslint/visitor-keys" "8.59.1"
|
||||
|
||||
"@typescript-eslint/tsconfig-utils@8.58.0", "@typescript-eslint/tsconfig-utils@^8.58.0":
|
||||
version "8.58.0"
|
||||
resolved "https://registry.yarnpkg.com/@typescript-eslint/tsconfig-utils/-/tsconfig-utils-8.58.0.tgz#c5a8edb21f31e0fdee565724e1b984171c559482"
|
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]
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||||
[[package]]
|
||||
|
||||
@@ -5,7 +5,7 @@ import copy as _copy
|
||||
from collections.abc import Callable, Sequence
|
||||
from typing import Any, Generic
|
||||
|
||||
from langgraph.checkpoint.base import DELTA_SENTINEL, PendingWrite
|
||||
from langgraph.checkpoint.base import PendingWrite
|
||||
from langgraph.checkpoint.serde.types import _DeltaSnapshot
|
||||
from typing_extensions import Self
|
||||
|
||||
@@ -38,19 +38,17 @@ class DeltaChannel(Generic[Value], BaseChannel[Any, Any, Any]):
|
||||
This lets LangGraph replay checkpointed writes in larger batches than they
|
||||
were originally produced without changing reconstructed state.
|
||||
|
||||
`snapshot_frequency=None` (default): pure delta; stores only
|
||||
`DELTA_SENTINEL` in checkpoint blobs; reads replay all ancestor writes.
|
||||
|
||||
`snapshot_frequency=N`: `create_checkpoint` writes a full `_DeltaSnapshot`
|
||||
blob every N steps, bounding replay depth to N.
|
||||
Snapshot cadence is driven by per-channel update count. `create_checkpoint`
|
||||
writes a full `_DeltaSnapshot` blob every `snapshot_frequency` updates to
|
||||
this channel, bounding replay depth.
|
||||
|
||||
Parameters:
|
||||
reducer: `(state, list[writes]) -> new_state`. Must be deterministic
|
||||
and batching-invariant as described above.
|
||||
typ: The value type (e.g. `list`, `dict`). Inferred automatically
|
||||
from the outer type when used inside `Annotated[T, DeltaChannel(...)]`.
|
||||
snapshot_frequency: Every Nth pregel step writes a snapshot blob.
|
||||
`None` (default) = pure delta, never snapshot.
|
||||
snapshot_frequency: Every Nth update to this channel writes a snapshot
|
||||
blob (default `1000`). Must be a positive int.
|
||||
"""
|
||||
|
||||
__slots__ = ("value", "reducer", "snapshot_frequency")
|
||||
@@ -61,8 +59,12 @@ class DeltaChannel(Generic[Value], BaseChannel[Any, Any, Any]):
|
||||
reducer: Callable[[Any, Sequence[Any]], Any],
|
||||
typ: type[Value] | None = None,
|
||||
*,
|
||||
snapshot_frequency: int | None = None,
|
||||
snapshot_frequency: int = 1000,
|
||||
) -> None:
|
||||
if snapshot_frequency <= 0:
|
||||
raise ValueError(
|
||||
f"snapshot_frequency must be a positive int, got {snapshot_frequency}"
|
||||
)
|
||||
if typ is None:
|
||||
typ = list # type: ignore[assignment] # placeholder; overridden by _is_field_channel
|
||||
super().__init__(typ)
|
||||
@@ -93,14 +95,6 @@ class DeltaChannel(Generic[Value], BaseChannel[Any, Any, Any]):
|
||||
def UpdateType(self) -> Any:
|
||||
return self.typ
|
||||
|
||||
def is_snapshot_step(self, step: int) -> bool:
|
||||
"""True if pregel should write a snapshot blob at this step."""
|
||||
return (
|
||||
self.snapshot_frequency is not None
|
||||
and step > 0
|
||||
and step % self.snapshot_frequency == 0
|
||||
)
|
||||
|
||||
def copy(self) -> Self:
|
||||
new = self.__class__(
|
||||
self.reducer, self.typ, snapshot_frequency=self.snapshot_frequency
|
||||
@@ -110,18 +104,19 @@ class DeltaChannel(Generic[Value], BaseChannel[Any, Any, Any]):
|
||||
return new
|
||||
|
||||
def from_checkpoint(self, checkpoint: Any) -> Self:
|
||||
"""Initialize from a stored blob or sentinel.
|
||||
"""Initialize from a stored blob.
|
||||
|
||||
Blob types (dispatched via serde ext code, not dict key inspection):
|
||||
* `DELTA_SENTINEL` / `MISSING`: start empty; caller replays writes.
|
||||
Blob types:
|
||||
* `MISSING`: start empty; caller replays writes.
|
||||
* `_DeltaSnapshot(value)`: restore value directly from snapshot.
|
||||
* plain value (migration from old BinOp blobs): use directly.
|
||||
* plain value (migration from old `BinaryOperatorAggregate` blobs):
|
||||
use directly.
|
||||
"""
|
||||
new = self.__class__(
|
||||
self.reducer, self.typ, snapshot_frequency=self.snapshot_frequency
|
||||
)
|
||||
new.key = self.key
|
||||
if checkpoint is MISSING or checkpoint is DELTA_SENTINEL:
|
||||
if checkpoint is MISSING:
|
||||
new.value = self.typ()
|
||||
elif isinstance(checkpoint, _DeltaSnapshot):
|
||||
new.value = checkpoint.value
|
||||
@@ -186,12 +181,12 @@ class DeltaChannel(Generic[Value], BaseChannel[Any, Any, Any]):
|
||||
return self.value is not MISSING
|
||||
|
||||
def checkpoint(self) -> Any:
|
||||
"""Return stored representation: always `DELTA_SENTINEL`.
|
||||
"""Return stored representation: always `MISSING`.
|
||||
|
||||
Snapshot decisions are made by `create_checkpoint` in pregel (which
|
||||
has the step number) via `is_snapshot_step`. `checkpoint()` is only
|
||||
called for non-snapshot steps or when no checkpointer is available.
|
||||
Snapshot decisions live in `create_checkpoint` (which has the channel
|
||||
version) and write `_DeltaSnapshot(ch.get())` directly into
|
||||
`channel_values`. For non-snapshot steps the channel does not appear
|
||||
in `channel_values`; reconstruction walks ancestor writes via the
|
||||
saver's `get_delta_channel_history`.
|
||||
"""
|
||||
if self.value is MISSING:
|
||||
return MISSING
|
||||
return DELTA_SENTINEL
|
||||
return MISSING
|
||||
|
||||
@@ -250,14 +250,16 @@ def _messages_delta_reducer(
|
||||
"""**Experimental.** Batch reducer for use with `DeltaChannel`.
|
||||
|
||||
Processes all writes in one pass — dedup by ID, `RemoveMessage`
|
||||
tombstoning — without calling `add_messages`. Assumes writes contain
|
||||
already-typed `BaseMessage` objects (no raw-dict coercion).
|
||||
tombstoning — without calling `add_messages`.
|
||||
|
||||
This reducer is batching-invariant, as required by `DeltaChannel`:
|
||||
`reducer(reducer(state, xs), ys) == reducer(state, xs + ys)`.
|
||||
|
||||
Use `add_messages` as the reducer for `BinaryOperatorAggregate` or
|
||||
anywhere raw message dicts / strings need to be coerced first.
|
||||
Raw dict / string / tuple inputs are coerced to typed `BaseMessage`
|
||||
objects so that HTTP-driven graphs work without a separate coercion
|
||||
step. This is not full `add_messages` parity — `REMOVE_ALL_MESSAGES`,
|
||||
unknown-id `RemoveMessage` errors, missing-id UUID assignment, and
|
||||
`BaseMessageChunk` conversion are not handled here.
|
||||
|
||||
Example::
|
||||
|
||||
@@ -268,13 +270,30 @@ def _messages_delta_reducer(
|
||||
class State(TypedDict):
|
||||
messages: Annotated[list, DeltaChannel(_messages_delta_reducer)]
|
||||
"""
|
||||
from itertools import chain
|
||||
|
||||
index: dict[str, int] = {m.id: i for i, m in enumerate(state) if m.id is not None}
|
||||
result: list[AnyMessage | None] = list(state)
|
||||
for msg in chain.from_iterable(
|
||||
[w] if isinstance(w, BaseMessage) else w for w in writes
|
||||
):
|
||||
# Each write is either a list of message-likes or a single message-like
|
||||
# (BaseMessage / dict / str / tuple). Only lists flatten; everything
|
||||
# else is one message.
|
||||
flat: list[Any] = []
|
||||
for w in writes:
|
||||
if isinstance(w, list):
|
||||
flat.extend(w)
|
||||
else:
|
||||
flat.append(w)
|
||||
# Steady state: the reducer's own output is already typed, so skip
|
||||
# `convert_to_messages` on state when the first element is a BaseMessage.
|
||||
# Only raw input (initial dicts, deserialized blobs) hits the slow path.
|
||||
if state and isinstance(state[0], BaseMessage):
|
||||
state_msgs = state
|
||||
else:
|
||||
state_msgs = cast("list[AnyMessage]", convert_to_messages(state))
|
||||
msgs = cast("list[AnyMessage]", convert_to_messages(flat))
|
||||
|
||||
index: dict[str, int] = {
|
||||
m.id: i for i, m in enumerate(state_msgs) if m.id is not None
|
||||
}
|
||||
result: list[AnyMessage | None] = list(state_msgs)
|
||||
for msg in msgs:
|
||||
mid = msg.id
|
||||
if mid is None:
|
||||
result.append(msg)
|
||||
|
||||
@@ -1128,7 +1128,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
|
||||
name: The name to use for the compiled graph.
|
||||
transformers: Optional sequence of `StreamTransformer` classes or
|
||||
configured factories. Classes and factories are instantiated
|
||||
per run whenever `stream_v2` / `astream_v2` is called and are
|
||||
per run whenever `stream_events(version="v3")` / `astream_events(version="v3")` is called and are
|
||||
propagated to subgraph scopes. Custom factories should follow
|
||||
the standard `StreamTransformer` constructor shape by
|
||||
accepting `scope` as their first argument. Appended after the
|
||||
|
||||
@@ -5,7 +5,11 @@ from datetime import datetime, timezone
|
||||
from typing import Any, cast
|
||||
|
||||
from langchain_core.runnables import RunnableConfig
|
||||
from langgraph.checkpoint.base import DELTA_SENTINEL, BaseCheckpointSaver, Checkpoint
|
||||
from langgraph.checkpoint.base import (
|
||||
BaseCheckpointSaver,
|
||||
Checkpoint,
|
||||
CheckpointMetadata,
|
||||
)
|
||||
from langgraph.checkpoint.base.id import uuid6
|
||||
from langgraph.checkpoint.serde.types import _DeltaSnapshot
|
||||
|
||||
@@ -30,6 +34,30 @@ def empty_checkpoint() -> Checkpoint:
|
||||
)
|
||||
|
||||
|
||||
def _should_snapshot_delta(
|
||||
name: str,
|
||||
ch: DeltaChannel,
|
||||
updates_since_snapshot: Mapping[str, int],
|
||||
*,
|
||||
force: bool,
|
||||
) -> bool:
|
||||
"""Decide whether `ch` should write a `_DeltaSnapshot` this step.
|
||||
|
||||
Triggers:
|
||||
* `force` — always snapshot (used by `durability="exit"`).
|
||||
* Update-count: this channel has accumulated at least
|
||||
`snapshot_frequency` updates since its last snapshot. The count
|
||||
is supplied by the caller via `updates_since_snapshot[name]` and
|
||||
is reset to `0` whenever a snapshot fires.
|
||||
|
||||
Version-format-independent: works for `int`, `float`, and `str`
|
||||
versioning schemes alike.
|
||||
"""
|
||||
if force:
|
||||
return True
|
||||
return updates_since_snapshot.get(name, 0) >= ch.snapshot_frequency
|
||||
|
||||
|
||||
def create_checkpoint(
|
||||
checkpoint: Checkpoint,
|
||||
channels: Mapping[str, BaseChannel] | None,
|
||||
@@ -39,21 +67,33 @@ def create_checkpoint(
|
||||
updated_channels: set[str] | None = None,
|
||||
get_next_version: GetNextVersion | None = None,
|
||||
force_delta_snapshot: bool = False,
|
||||
updates_since_snapshot: Mapping[str, int] | None = None,
|
||||
new_updates_since_snapshot: dict[str, int] | None = None,
|
||||
) -> Checkpoint:
|
||||
"""Create a checkpoint for the given channels.
|
||||
|
||||
For `DeltaChannel` with `snapshot_frequency=N`, snapshot steps write a
|
||||
`_DeltaSnapshot` blob rather than `DELTA_SENTINEL`, bounding the ancestor
|
||||
walk to at most N steps. Snapshots are eager: even if the channel had no
|
||||
write this step, a version bump is forced (via `get_next_version`) so the
|
||||
blob is stored by `put()`. Without `get_next_version` (e.g. static
|
||||
contexts), snapshot steps gracefully fall back to sentinel.
|
||||
For each `DeltaChannel`, a `_DeltaSnapshot(value)` blob is written into
|
||||
`channel_values[k]` when this channel has accumulated at least
|
||||
`snapshot_frequency` updates since its last snapshot (counter supplied
|
||||
via `updates_since_snapshot`). Otherwise the channel is omitted from
|
||||
`channel_values`; its `channel_versions` entry still bumps so that the
|
||||
saver tracks the channel and the ancestor walk can replay writes.
|
||||
|
||||
`force_delta_snapshot` writes available `DeltaChannel` values as snapshots
|
||||
regardless of `snapshot_frequency`. This is used by `durability="exit"`,
|
||||
where intermediate writes are not stored as ancestor `checkpoint_writes`.
|
||||
Snapshots are eager: even if the channel had no write this step, a
|
||||
version bump is forced (via `get_next_version`) so `put()` includes
|
||||
the channel in `new_versions` and stores the blob.
|
||||
|
||||
`force_delta_snapshot` ignores the cadence and always snapshots —
|
||||
used by `durability="exit"` where intermediate writes are not stored
|
||||
as ancestor `checkpoint_writes`.
|
||||
|
||||
If `new_updates_since_snapshot` is provided, the function resets the
|
||||
counter to `0` for any channel that snapshotted this step. Counters
|
||||
for channels that did not snapshot are left untouched (the caller is
|
||||
responsible for incrementing them based on `updated_channels`).
|
||||
"""
|
||||
ts = datetime.now(timezone.utc).isoformat()
|
||||
counts = updates_since_snapshot or {}
|
||||
if channels is None:
|
||||
values = checkpoint["channel_values"]
|
||||
channel_versions = checkpoint["channel_versions"]
|
||||
@@ -66,8 +106,13 @@ def create_checkpoint(
|
||||
ch = channels[k]
|
||||
if (
|
||||
isinstance(ch, DeltaChannel)
|
||||
and (force_delta_snapshot or ch.is_snapshot_step(step))
|
||||
and ch.is_available()
|
||||
and _should_snapshot_delta(
|
||||
k,
|
||||
ch,
|
||||
counts,
|
||||
force=force_delta_snapshot,
|
||||
)
|
||||
):
|
||||
# Eager snapshot: bump version if not already written this step
|
||||
# so put() includes this channel in new_versions and stores blob.
|
||||
@@ -76,6 +121,8 @@ def create_checkpoint(
|
||||
):
|
||||
channel_versions[k] = get_next_version(channel_versions[k], None)
|
||||
values[k] = _DeltaSnapshot(ch.get())
|
||||
if new_updates_since_snapshot is not None:
|
||||
new_updates_since_snapshot[k] = 0
|
||||
else:
|
||||
v = ch.checkpoint()
|
||||
if v is not MISSING:
|
||||
@@ -92,15 +139,15 @@ def create_checkpoint(
|
||||
|
||||
|
||||
def _needs_replay(spec: BaseChannel, stored: object) -> bool:
|
||||
"""True if `spec` is a `DeltaChannel` and the stored blob is a sentinel,
|
||||
requiring an ancestor walk to reconstruct.
|
||||
"""True if `spec` is a `DeltaChannel` and no value is stored at this
|
||||
checkpoint, requiring an ancestor walk to reconstruct.
|
||||
|
||||
`_DeltaSnapshot` blobs and plain values (migration) resolve directly via
|
||||
`from_checkpoint` — only `DELTA_SENTINEL` / `MISSING` trigger replay.
|
||||
`from_checkpoint` — only absence (`MISSING`) triggers replay.
|
||||
"""
|
||||
if not isinstance(spec, DeltaChannel):
|
||||
return False
|
||||
return stored is MISSING or stored is DELTA_SENTINEL
|
||||
return stored is MISSING
|
||||
|
||||
|
||||
def channels_from_checkpoint(
|
||||
@@ -113,10 +160,12 @@ def channels_from_checkpoint(
|
||||
"""Hydrate channels from a checkpoint.
|
||||
|
||||
For most channels, `spec.from_checkpoint(checkpoint["channel_values"][k])`
|
||||
is sufficient. `DeltaChannel` is the exception: sentinel blobs require an
|
||||
ancestor walk via `saver._get_channel_writes_history`. The walk terminates
|
||||
at the nearest `_DeltaSnapshot` blob (step-based) or a pre-migration plain
|
||||
value, so read depth is bounded by `snapshot_frequency`.
|
||||
is sufficient. `DeltaChannel` is the exception: when the channel is
|
||||
absent from `channel_values`, an ancestor walk via
|
||||
`saver.get_delta_channel_history` is required to find the nearest seed
|
||||
(`_DeltaSnapshot` blob or pre-migration plain value) and accumulate
|
||||
the writes between it and the target. All delta channels needing
|
||||
replay are batched into a single saver call.
|
||||
"""
|
||||
channel_specs: dict[str, BaseChannel] = {}
|
||||
managed_specs: dict[str, ManagedValueSpec] = {}
|
||||
@@ -126,18 +175,28 @@ def channels_from_checkpoint(
|
||||
else:
|
||||
managed_specs[k] = v
|
||||
|
||||
delta_channels: list[str] = [
|
||||
k
|
||||
for k, spec in channel_specs.items()
|
||||
if _needs_replay(spec, checkpoint["channel_values"].get(k, MISSING))
|
||||
]
|
||||
histories: Mapping[str, Any] = {}
|
||||
if delta_channels and saver is not None and config is not None:
|
||||
histories = saver.get_delta_channel_history(
|
||||
config=config, channels=delta_channels
|
||||
)
|
||||
|
||||
channels: dict[str, BaseChannel] = {}
|
||||
for k, spec in channel_specs.items():
|
||||
ch: BaseChannel
|
||||
stored = checkpoint["channel_values"].get(k, MISSING)
|
||||
if _needs_replay(spec, stored) and saver is not None and config is not None:
|
||||
if k in histories:
|
||||
delta_spec = cast(DeltaChannel, spec)
|
||||
history = saver._get_channel_writes_history(config, k)
|
||||
replay_ch = delta_spec.from_checkpoint(history.seed)
|
||||
replay_ch.replay_writes(history.writes)
|
||||
history = histories[k]
|
||||
replay_ch = delta_spec.from_checkpoint(history.get("seed", MISSING))
|
||||
replay_ch.replay_writes(history["writes"])
|
||||
ch = replay_ch
|
||||
else:
|
||||
ch = spec.from_checkpoint(stored)
|
||||
ch = spec.from_checkpoint(checkpoint["channel_values"].get(k, MISSING))
|
||||
channels[k] = ch
|
||||
return channels, managed_specs
|
||||
|
||||
@@ -158,18 +217,28 @@ async def achannels_from_checkpoint(
|
||||
else:
|
||||
managed_specs[k] = v
|
||||
|
||||
delta_channels: list[str] = [
|
||||
k
|
||||
for k, spec in channel_specs.items()
|
||||
if _needs_replay(spec, checkpoint["channel_values"].get(k, MISSING))
|
||||
]
|
||||
histories: Mapping[str, Any] = {}
|
||||
if delta_channels and saver is not None and config is not None:
|
||||
histories = await saver.aget_delta_channel_history(
|
||||
config=config, channels=delta_channels
|
||||
)
|
||||
|
||||
channels: dict[str, BaseChannel] = {}
|
||||
for k, spec in channel_specs.items():
|
||||
ch: BaseChannel
|
||||
stored = checkpoint["channel_values"].get(k, MISSING)
|
||||
if _needs_replay(spec, stored) and saver is not None and config is not None:
|
||||
if k in histories:
|
||||
delta_spec = cast(DeltaChannel, spec)
|
||||
history = await saver._aget_channel_writes_history(config, k)
|
||||
replay_ch = delta_spec.from_checkpoint(history.seed)
|
||||
replay_ch.replay_writes(history.writes)
|
||||
history = histories[k]
|
||||
replay_ch = delta_spec.from_checkpoint(history.get("seed", MISSING))
|
||||
replay_ch.replay_writes(history["writes"])
|
||||
ch = replay_ch
|
||||
else:
|
||||
ch = spec.from_checkpoint(stored)
|
||||
ch = spec.from_checkpoint(checkpoint["channel_values"].get(k, MISSING))
|
||||
channels[k] = ch
|
||||
return channels, managed_specs
|
||||
|
||||
@@ -184,3 +253,17 @@ def copy_checkpoint(checkpoint: Checkpoint) -> Checkpoint:
|
||||
versions_seen={k: v.copy() for k, v in checkpoint["versions_seen"].items()},
|
||||
updated_channels=checkpoint.get("updated_channels", None),
|
||||
)
|
||||
|
||||
|
||||
def read_delta_updates_since_snapshot(
|
||||
metadata: CheckpointMetadata | None,
|
||||
) -> dict[str, int]:
|
||||
"""Read the per-channel update counter from checkpoint metadata.
|
||||
|
||||
Returns an empty dict for missing/None metadata; the dict is
|
||||
`total=False` on `CheckpointMetadata`, so absence means "no prior
|
||||
delta-channel activity tracked."
|
||||
"""
|
||||
if not metadata:
|
||||
return {}
|
||||
return dict(metadata.get("delta_updates_since_snapshot", {}) or {})
|
||||
|
||||
@@ -910,6 +910,22 @@ class PregelLoop:
|
||||
if exiting and self.checkpoint["id"] == self.checkpoint_id_saved:
|
||||
# checkpoint already saved
|
||||
return
|
||||
# Carry per-delta-channel update bookkeeping forward across
|
||||
# supersteps. Capture from the OLD metadata before potentially
|
||||
# replacing it with a fresh dict that wouldn't contain it. Then
|
||||
# increment for any delta channel updated this step (so the count
|
||||
# reflects "supersteps that wrote to this channel since last
|
||||
# snapshot"). create_checkpoint will reset entries to 0 for any
|
||||
# channel that fires a snapshot this step.
|
||||
prev_counts = dict(
|
||||
self.checkpoint_metadata.get("delta_updates_since_snapshot", {}) or {}
|
||||
)
|
||||
new_counts = dict(prev_counts)
|
||||
if self.updated_channels:
|
||||
for ch_name in self.updated_channels:
|
||||
ch_obj = self.channels.get(ch_name)
|
||||
if isinstance(ch_obj, DeltaChannel):
|
||||
new_counts[ch_name] = new_counts.get(ch_name, 0) + 1
|
||||
if not exiting:
|
||||
metadata["step"] = self.step
|
||||
metadata["parents"] = self.config[CONF].get(CONFIG_KEY_CHECKPOINT_MAP, {})
|
||||
@@ -929,7 +945,13 @@ class PregelLoop:
|
||||
if do_checkpoint
|
||||
else None,
|
||||
force_delta_snapshot=exiting and self.durability == "exit",
|
||||
updates_since_snapshot=new_counts,
|
||||
new_updates_since_snapshot=new_counts,
|
||||
)
|
||||
if new_counts:
|
||||
self.checkpoint_metadata["delta_updates_since_snapshot"] = new_counts
|
||||
elif "delta_updates_since_snapshot" in self.checkpoint_metadata:
|
||||
del self.checkpoint_metadata["delta_updates_since_snapshot"]
|
||||
# sanitize TASK channel in the checkpoint before saving (durability=="exit")
|
||||
if TASKS in self.checkpoint["channel_values"] and any(
|
||||
isinstance(channel, UntrackedValue) for channel in self.channels.values()
|
||||
@@ -1450,7 +1472,7 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
|
||||
new_versions: ChannelVersions,
|
||||
) -> RunnableConfig:
|
||||
# Drain DeltaChannel write futures before committing the checkpoint so
|
||||
# DELTA_SENTINEL blobs are never saved ahead of their backing writes.
|
||||
# ancestor walks never see a checkpoint without its backing writes.
|
||||
if self._delta_write_futs:
|
||||
futs, self._delta_write_futs = self._delta_write_futs, []
|
||||
await asyncio.gather(*futs)
|
||||
|
||||
@@ -349,7 +349,7 @@ class StreamMessagesHandlerV2(StreamMessagesHandler, _V2StreamingCallbackHandler
|
||||
tags: list[str] | None = None,
|
||||
**kwargs: Any,
|
||||
) -> Any:
|
||||
"""Forward a protocol event from `stream_v2` as a messages stream part.
|
||||
"""Forward a protocol event from `stream_events(version="v3")` as a messages stream part.
|
||||
|
||||
Fires once per `MessagesData` event (`message-start`, per-block
|
||||
`content-block-*`, `message-finish`). The transformer layer
|
||||
|
||||
@@ -30,6 +30,7 @@ from typing import (
|
||||
)
|
||||
from uuid import UUID, uuid5
|
||||
|
||||
from langchain_core._api import beta
|
||||
from langchain_core.globals import get_debug
|
||||
from langchain_core.runnables import (
|
||||
RunnableSequence,
|
||||
@@ -41,6 +42,7 @@ from langchain_core.runnables.config import (
|
||||
get_callback_manager_for_config,
|
||||
)
|
||||
from langchain_core.runnables.graph import Graph
|
||||
from langchain_core.runnables.schema import StreamEvent
|
||||
from langgraph.cache.base import BaseCache
|
||||
from langgraph.checkpoint.base import (
|
||||
BaseCheckpointSaver,
|
||||
@@ -372,11 +374,30 @@ class NodeBuilder:
|
||||
)
|
||||
|
||||
|
||||
# Kwargs that ``stream_events(version="v3")`` / ``astream_events(version="v3")``
|
||||
# manage internally and must not be overridden by callers. ``stream_mode`` is
|
||||
# derived from the transformer mux; ``subgraphs`` is forced True so nested
|
||||
# namespaces flow through scoped muxes. Forwarding either to the inner
|
||||
# ``stream(...)`` would silently break v3's invariants, so we raise instead.
|
||||
_V3_INVARIANT_KWARGS: tuple[str, ...] = ("stream_mode", "subgraphs")
|
||||
|
||||
|
||||
def _reject_v3_invariant_kwargs(kwargs: dict[str, Any]) -> None:
|
||||
collisions = [k for k in _V3_INVARIANT_KWARGS if k in kwargs]
|
||||
if collisions:
|
||||
raise TypeError(
|
||||
"stream_events(version='v3') / astream_events(version='v3') do "
|
||||
f"not accept {', '.join(collisions)}; v3 owns these "
|
||||
"(stream_mode is built from the transformer mux, subgraphs is "
|
||||
"forced True so nested namespaces flow through scoped muxes)."
|
||||
)
|
||||
|
||||
|
||||
def _collect_stream_modes(mux: Any) -> list[StreamMode]:
|
||||
"""Return the union of `required_stream_modes` across registered transformers.
|
||||
|
||||
Transformers declare the stream modes they need to function, and
|
||||
`stream_v2` asks the graph for exactly that union — no hardcoded
|
||||
`stream_events(version="v3")` asks the graph for exactly that union — no hardcoded
|
||||
default set. If zero transformers declare a given mode, the graph
|
||||
does not stream events for it.
|
||||
"""
|
||||
@@ -406,14 +427,14 @@ def _normalize_stream_transformer_factories(
|
||||
for spec in specs or ():
|
||||
if isinstance(spec, StreamTransformer):
|
||||
raise TypeError(
|
||||
"stream_v2 transformers must be scope-aware callables, "
|
||||
"stream_events(version='v3') transformers must be scope-aware callables, "
|
||||
f"got pre-built instance {type(spec).__name__}. Pass the "
|
||||
"transformer class or a factory like "
|
||||
"`lambda scope: MyTransformer(scope, ...)`."
|
||||
)
|
||||
if not callable(spec):
|
||||
raise TypeError(
|
||||
"stream_v2 transformers must be scope-aware callables, "
|
||||
"stream_events(version='v3') transformers must be scope-aware callables, "
|
||||
f"got {type(spec).__name__}."
|
||||
)
|
||||
|
||||
@@ -3447,7 +3468,8 @@ class Pregel(
|
||||
await asyncio.shield(run_manager.on_chain_error(e))
|
||||
raise
|
||||
|
||||
def stream_v2(
|
||||
@beta(message="The v3 streaming protocol on Pregel is experimental.")
|
||||
def _pregel_stream_v3(
|
||||
self,
|
||||
input: InputT | Command | None,
|
||||
config: RunnableConfig | None = None,
|
||||
@@ -3456,42 +3478,19 @@ class Pregel(
|
||||
interrupt_after: All | Sequence[str] | None = None,
|
||||
control: RunControl | None = None,
|
||||
transformers: Sequence[Callable[[tuple[str, ...]], Any]] | None = None,
|
||||
**kwargs: Any,
|
||||
) -> Any:
|
||||
"""Start a sync v2 streaming run driven by transformer projections.
|
||||
"""Internal v3 sync streaming implementation. Public entry: stream_events(version='v3').
|
||||
|
||||
Builds a `StreamMux` from the built-in transformers, this
|
||||
graph's compile-time `stream_transformers`, and any additional
|
||||
`transformers=` supplied at the call site. Returns a
|
||||
`GraphRunStream` that the caller drives by iterating any
|
||||
projection — no background thread.
|
||||
Extra keyword arguments are forwarded to the underlying ``stream(...)``
|
||||
call. The dispatcher in ``stream_events`` rejects ``stream_mode`` and
|
||||
``subgraphs`` since v3 owns them (``stream_mode`` is derived from the
|
||||
transformer mux; ``subgraphs`` is always True so nested namespaces
|
||||
flow through scoped muxes).
|
||||
|
||||
`run.output`, `run.interrupted` and `run.interrupts` work
|
||||
regardless of which transformers are registered.
|
||||
!!! warning
|
||||
|
||||
Note:
|
||||
Nesting v1 `stream(stream_mode="messages")` inside a node
|
||||
of a `stream_v2` run is not fully supported. The outer v2
|
||||
messages handler reroutes `BaseChatModel.invoke` through
|
||||
the v2 event protocol, so the inner v1 handler does not see
|
||||
`on_llm_new_token` chunks. The inner stream still yields a
|
||||
finalized message via `on_llm_end`. Use `stream_v2` for
|
||||
the inner graph as well, or call
|
||||
`chat_model.stream(...)` explicitly, to get token-level
|
||||
streaming.
|
||||
|
||||
Args:
|
||||
input: Graph input.
|
||||
config: Optional runnable config forwarded to the graph.
|
||||
interrupt_before: Nodes to interrupt before, if any.
|
||||
interrupt_after: Nodes to interrupt after, if any.
|
||||
control: Optional run control used to request cooperative drain.
|
||||
transformers: Extra transformer classes or configured factories
|
||||
appended after compile-time `stream_transformers`. Factories
|
||||
are called as `factory(scope)` so they can propagate to
|
||||
subgraph scopes.
|
||||
|
||||
Returns:
|
||||
A `GraphRunStream` the caller iterates to drive the run.
|
||||
The v3 streaming protocol is experimental and may change.
|
||||
"""
|
||||
parent_ns = _resolve_parent_ns(self.config, config)
|
||||
compiled_factories = _normalize_stream_transformer_factories(
|
||||
@@ -3520,11 +3519,13 @@ class Pregel(
|
||||
interrupt_before=interrupt_before,
|
||||
interrupt_after=interrupt_after,
|
||||
control=control,
|
||||
**kwargs,
|
||||
)
|
||||
)
|
||||
return GraphRunStream(graph_iter, mux)
|
||||
|
||||
async def astream_v2(
|
||||
@beta(message="The v3 streaming protocol on Pregel is experimental.")
|
||||
async def _apregel_stream_v3(
|
||||
self,
|
||||
input: InputT | Command | None,
|
||||
config: RunnableConfig | None = None,
|
||||
@@ -3533,32 +3534,19 @@ class Pregel(
|
||||
interrupt_after: All | Sequence[str] | None = None,
|
||||
control: RunControl | None = None,
|
||||
transformers: Sequence[Callable[[tuple[str, ...]], Any]] | None = None,
|
||||
**kwargs: Any,
|
||||
) -> Any:
|
||||
"""Async counterpart to `stream_v2`.
|
||||
"""Internal v3 async streaming implementation. Public entry: astream_events(version='v3').
|
||||
|
||||
Returns an `AsyncGraphRunStream` whose projections can be awaited
|
||||
concurrently; each subscribed cursor drives the pump when its
|
||||
buffer is empty.
|
||||
Extra keyword arguments are forwarded to the underlying ``astream(...)``
|
||||
call. The dispatcher in ``astream_events`` rejects ``stream_mode`` and
|
||||
``subgraphs`` since v3 owns them (``stream_mode`` is derived from the
|
||||
transformer mux; ``subgraphs`` is always True so nested namespaces
|
||||
flow through scoped muxes).
|
||||
|
||||
Note:
|
||||
Same nesting limitation as `stream_v2`: nesting v1
|
||||
`astream(stream_mode="messages")` inside a node of an
|
||||
`astream_v2` run drops `on_llm_new_token` chunks because
|
||||
the outer v2 handler reroutes `BaseChatModel.invoke`
|
||||
through the v2 event protocol. Use `astream_v2` for the
|
||||
inner graph as well, or call `chat_model.astream(...)`
|
||||
explicitly, to get token-level streaming.
|
||||
!!! warning
|
||||
|
||||
Args:
|
||||
input: Graph input.
|
||||
config: Optional runnable config forwarded to the graph.
|
||||
interrupt_before: Nodes to interrupt before, if any.
|
||||
interrupt_after: Nodes to interrupt after, if any.
|
||||
control: Optional run control used to request cooperative drain.
|
||||
transformers: Extra transformer classes or configured factories
|
||||
appended after compile-time `stream_transformers`. Factories
|
||||
are called as `factory(scope)` so they can propagate to
|
||||
subgraph scopes.
|
||||
The v3 streaming protocol is experimental and may change.
|
||||
"""
|
||||
parent_ns = _resolve_parent_ns(self.config, config)
|
||||
compiled_factories = _normalize_stream_transformer_factories(
|
||||
@@ -3586,9 +3574,178 @@ class Pregel(
|
||||
interrupt_before=interrupt_before,
|
||||
interrupt_after=interrupt_after,
|
||||
control=control,
|
||||
**kwargs,
|
||||
).__aiter__()
|
||||
return AsyncGraphRunStream(graph_aiter, mux)
|
||||
|
||||
@overload
|
||||
def stream_events(
|
||||
self,
|
||||
input: InputT | Command | None,
|
||||
config: RunnableConfig | None = None,
|
||||
*,
|
||||
version: Literal["v1", "v2"] = "v2",
|
||||
**kwargs: Any,
|
||||
) -> Iterator[StreamEvent]: ...
|
||||
|
||||
@overload
|
||||
def stream_events(
|
||||
self,
|
||||
input: InputT | Command | None,
|
||||
config: RunnableConfig | None = None,
|
||||
*,
|
||||
version: Literal["v3"],
|
||||
interrupt_before: All | Sequence[str] | None = None,
|
||||
interrupt_after: All | Sequence[str] | None = None,
|
||||
control: RunControl | None = None,
|
||||
transformers: Sequence[Callable[[tuple[str, ...]], Any]] | None = None,
|
||||
**kwargs: Any,
|
||||
) -> Any: ...
|
||||
|
||||
def stream_events(
|
||||
self,
|
||||
input: InputT | Command | None,
|
||||
config: RunnableConfig | None = None,
|
||||
*,
|
||||
version: Literal["v1", "v2", "v3"] = "v2",
|
||||
interrupt_before: All | Sequence[str] | None = None,
|
||||
interrupt_after: All | Sequence[str] | None = None,
|
||||
control: RunControl | None = None,
|
||||
transformers: Sequence[Callable[[tuple[str, ...]], Any]] | None = None,
|
||||
**kwargs: Any,
|
||||
) -> Any:
|
||||
"""Stream events from this graph.
|
||||
|
||||
For `version="v1"` / `"v2"`, yields `StreamEvent` dicts (see
|
||||
`Runnable.stream_events`). For `version="v3"`, returns a
|
||||
`GraphRunStream` whose typed projections the caller drives by
|
||||
iterating — no background thread.
|
||||
|
||||
!!! warning
|
||||
|
||||
The `version="v3"` API is experimental and may change.
|
||||
|
||||
Builds a `StreamMux` from the built-in transformers, this
|
||||
graph's compile-time `stream_transformers`, and any additional
|
||||
`transformers=` supplied at the call site. `run.output`,
|
||||
`run.interrupted`, and `run.interrupts` work regardless of
|
||||
which transformers are registered.
|
||||
|
||||
Note:
|
||||
Nesting v1 `stream(stream_mode="messages")` inside a node
|
||||
of a `stream_events(version="v3")` run is not fully
|
||||
supported. The outer v3 messages handler reroutes
|
||||
`BaseChatModel.invoke` through the v2 event protocol, so
|
||||
the inner v1 handler does not see `on_llm_new_token`
|
||||
chunks. The inner stream still yields a finalized message
|
||||
via `on_llm_end`. Use `stream_events(version="v3")` for the
|
||||
inner graph as well, or call `chat_model.stream(...)`
|
||||
explicitly, to get token-level streaming.
|
||||
|
||||
Args:
|
||||
input: Graph input.
|
||||
config: Optional runnable config.
|
||||
version: Streaming-event schema version. `"v3"` selects the
|
||||
content-block-centric streaming protocol.
|
||||
interrupt_before: Nodes to interrupt before, if any. Only
|
||||
used for `version="v3"`.
|
||||
interrupt_after: Nodes to interrupt after, if any. Only
|
||||
used for `version="v3"`.
|
||||
control: Optional run control used to request cooperative
|
||||
drain. Only used for `version="v3"`.
|
||||
transformers: Extra transformer classes or configured
|
||||
factories appended after compile-time
|
||||
`stream_transformers`. Factories are called as
|
||||
`factory(scope)` so they can propagate to subgraph
|
||||
scopes. Only used for `version="v3"`.
|
||||
**kwargs: For `version="v1"`/`"v2"`, forwarded to
|
||||
`Runnable.stream_events`. For `version="v3"`, forwarded
|
||||
to the underlying `stream(...)` call (e.g. `context`,
|
||||
`durability`, `output_keys`, `print_mode`, `debug`).
|
||||
`stream_mode` and `subgraphs` are not accepted under
|
||||
`version="v3"` and raise `TypeError` if supplied; v3
|
||||
owns them.
|
||||
|
||||
Returns:
|
||||
For `version="v3"`, a `GraphRunStream` the caller iterates
|
||||
to drive the run. Otherwise an `Iterator[StreamEvent]`.
|
||||
"""
|
||||
if version == "v3":
|
||||
_reject_v3_invariant_kwargs(kwargs)
|
||||
return self._pregel_stream_v3(
|
||||
input,
|
||||
config,
|
||||
interrupt_before=interrupt_before,
|
||||
interrupt_after=interrupt_after,
|
||||
control=control,
|
||||
transformers=transformers,
|
||||
**kwargs,
|
||||
)
|
||||
return super().stream_events(input, config, version=version, **kwargs)
|
||||
|
||||
@overload
|
||||
def astream_events(
|
||||
self,
|
||||
input: InputT | Command | None,
|
||||
config: RunnableConfig | None = None,
|
||||
*,
|
||||
version: Literal["v1", "v2"] = "v2",
|
||||
**kwargs: Any,
|
||||
) -> AsyncIterator[StreamEvent]: ...
|
||||
|
||||
@overload
|
||||
def astream_events(
|
||||
self,
|
||||
input: InputT | Command | None,
|
||||
config: RunnableConfig | None = None,
|
||||
*,
|
||||
version: Literal["v3"],
|
||||
interrupt_before: All | Sequence[str] | None = None,
|
||||
interrupt_after: All | Sequence[str] | None = None,
|
||||
control: RunControl | None = None,
|
||||
transformers: Sequence[Callable[[tuple[str, ...]], Any]] | None = None,
|
||||
**kwargs: Any,
|
||||
) -> Awaitable[Any]: ...
|
||||
|
||||
def astream_events(
|
||||
self,
|
||||
input: InputT | Command | None,
|
||||
config: RunnableConfig | None = None,
|
||||
*,
|
||||
version: Literal["v1", "v2", "v3"] = "v2",
|
||||
interrupt_before: All | Sequence[str] | None = None,
|
||||
interrupt_after: All | Sequence[str] | None = None,
|
||||
control: RunControl | None = None,
|
||||
transformers: Sequence[Callable[[tuple[str, ...]], Any]] | None = None,
|
||||
**kwargs: Any,
|
||||
) -> AsyncIterator[StreamEvent] | Awaitable[Any]:
|
||||
"""Async variant of `stream_events`.
|
||||
|
||||
For `version="v3"`, returns an `AsyncGraphRunStream` whose
|
||||
projections can be awaited concurrently; each subscribed cursor
|
||||
drives the pump when its buffer is empty. The same nesting
|
||||
limitation as the sync path applies — see `stream_events` for
|
||||
details.
|
||||
|
||||
!!! warning
|
||||
|
||||
The `version="v3"` API is experimental and may change.
|
||||
|
||||
See `stream_events` for full argument and return documentation.
|
||||
"""
|
||||
if version == "v3":
|
||||
_reject_v3_invariant_kwargs(kwargs)
|
||||
return self._apregel_stream_v3(
|
||||
input,
|
||||
config,
|
||||
interrupt_before=interrupt_before,
|
||||
interrupt_after=interrupt_after,
|
||||
control=control,
|
||||
transformers=transformers,
|
||||
**kwargs,
|
||||
)
|
||||
return super().astream_events(input, config, version=version, **kwargs)
|
||||
|
||||
@overload
|
||||
def invoke(
|
||||
self,
|
||||
@@ -4083,7 +4240,7 @@ def _resolve_parent_ns(
|
||||
) -> tuple[str, ...]:
|
||||
"""Return the checkpoint namespace the caller is running under.
|
||||
|
||||
`stream_v2` uses this to scope its native projections
|
||||
`stream_events(version="v3")` uses this to scope its native projections
|
||||
(`ValuesTransformer`, `MessagesTransformer`) to events emitted at
|
||||
the run's own level. A root call resolves to `()`; a call made
|
||||
from inside a node carries the outer graph's task namespace so the
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
"""Streaming infrastructure for LangGraph.
|
||||
|
||||
Compile a graph with `transformers=[...]` and call `graph.stream_v2()` /
|
||||
`graph.astream_v2()` to drive a transformer pipeline that projects the
|
||||
Compile a graph with `transformers=[...]` and call `graph.stream_events(version="v3")` /
|
||||
`graph.astream_events(version="v3")` to drive a transformer pipeline that projects the
|
||||
graph's raw events into ergonomic per-channel streams.
|
||||
"""
|
||||
|
||||
|
||||
@@ -88,7 +88,7 @@ class StreamTransformer(ABC):
|
||||
required_stream_modes: Stream modes the graph must emit for
|
||||
this transformer to have anything to process. Computed as
|
||||
the union across all registered transformers to determine
|
||||
which modes a `stream_v2` run requests from the graph.
|
||||
which modes a `stream_events(version="v3")` run requests from the graph.
|
||||
Empty tuple means the transformer consumes only synthetic
|
||||
events (or is purely passive).
|
||||
"""
|
||||
|
||||
@@ -5,6 +5,8 @@ from collections.abc import AsyncIterator, Awaitable, Callable, Iterator, Mappin
|
||||
from types import MappingProxyType, TracebackType
|
||||
from typing import TYPE_CHECKING, Any
|
||||
|
||||
from langchain_core._api import beta
|
||||
|
||||
from langgraph.stream._convert import convert_to_protocol_event
|
||||
from langgraph.stream._mux import StreamMux
|
||||
from langgraph.stream._types import ProtocolEvent
|
||||
@@ -25,6 +27,7 @@ async def _adrive_until_done(pump: Callable[[], Awaitable[bool]]) -> None:
|
||||
pass
|
||||
|
||||
|
||||
@beta(message="The v3 streaming protocol on Pregel is experimental.")
|
||||
class GraphRunStream:
|
||||
"""Sync run stream with caller-driven pumping.
|
||||
|
||||
@@ -38,6 +41,11 @@ class GraphRunStream:
|
||||
All transformer projections live in `extensions`. Native transformer
|
||||
projections (those with `_native = True`) are also set as direct
|
||||
attributes on this instance (e.g. `run.values`, `run.messages`).
|
||||
|
||||
!!! warning
|
||||
|
||||
Returned by `Pregel.stream_events(version="v3")`, which is
|
||||
experimental and may change.
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
@@ -282,6 +290,7 @@ class GraphRunStream:
|
||||
ch._subscribed = False
|
||||
|
||||
|
||||
@beta(message="The v3 streaming protocol on Pregel is experimental.")
|
||||
class AsyncGraphRunStream:
|
||||
"""Async run stream with caller-driven pumping.
|
||||
|
||||
@@ -303,6 +312,11 @@ class AsyncGraphRunStream:
|
||||
async for msg in run.messages:
|
||||
...
|
||||
```
|
||||
|
||||
!!! warning
|
||||
|
||||
Awaited from `Pregel.astream_events(version="v3")`, which is
|
||||
experimental and may change.
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
|
||||
@@ -38,8 +38,8 @@ class ValuesTransformer(StreamTransformer):
|
||||
Only values events at the run's own level are captured; snapshots
|
||||
from deeper subgraphs are left in the main event log but excluded
|
||||
from the projection. "Own level" is defined by `scope`, which
|
||||
`stream_v2` / `astream_v2` populate from the caller's
|
||||
checkpoint namespace so that a nested `stream_v2` call still
|
||||
`stream_events(version="v3")` / `astream_events(version="v3")` populate from the caller's
|
||||
checkpoint namespace so that a nested `stream_events(version="v3")` call still
|
||||
sees its own root snapshots.
|
||||
"""
|
||||
|
||||
@@ -165,7 +165,7 @@ class MessagesTransformer(StreamTransformer):
|
||||
metadata)` from `StreamMessagesHandler`):
|
||||
|
||||
1. Protocol event (dict with `"event"` key) — emitted by
|
||||
`stream_v2()` / `astream_v2()` via the `on_stream_event`
|
||||
`stream_events(version="v3")` / `astream_events(version="v3")` via the `on_stream_event`
|
||||
callback. Routed to an existing `ChatModelStream` by
|
||||
`metadata["run_id"]`. A `message-start` event creates a new
|
||||
stream; `message-finish` closes it.
|
||||
@@ -177,15 +177,15 @@ class MessagesTransformer(StreamTransformer):
|
||||
V1 `AIMessageChunk` tuples (from `on_llm_new_token`) are not
|
||||
streamed into this projection: chat models that want to populate
|
||||
`run.messages` with content-block streaming must use
|
||||
`stream_v2()` / `astream_v2()`. Models called via the legacy
|
||||
`stream_events(version="v3")` / `astream_events(version="v3")`. Models called via the legacy
|
||||
`stream()` method still surface their final `AIMessage` via
|
||||
`on_chain_end` when a node returns it as state.
|
||||
|
||||
Only events at the run's own level are projected; tokens from
|
||||
deeper subgraphs are left in the main event log but excluded from
|
||||
`.messages`. "Own level" is defined by `scope`, which
|
||||
`stream_v2` / `astream_v2` populate from the caller's checkpoint
|
||||
namespace so that a `stream_v2` call inside a node still sees its
|
||||
`stream_events(version="v3")` / `astream_events(version="v3")` populate from the caller's checkpoint
|
||||
namespace so that a `stream_events(version="v3")` call inside a node still sees its
|
||||
own root chat model streams on `.messages`. Consumers that need
|
||||
subgraph tokens should iterate the raw event stream or register a
|
||||
custom transformer.
|
||||
@@ -281,7 +281,7 @@ class MessagesTransformer(StreamTransformer):
|
||||
):
|
||||
self._route_whole_message(payload, node=node)
|
||||
# Legacy AIMessageChunk tuples (from on_llm_new_token) are ignored;
|
||||
# v1 streaming callers must switch to stream_v2() to populate this
|
||||
# v1 streaming callers must switch to stream_events(version="v3") to populate this
|
||||
# projection.
|
||||
|
||||
return True
|
||||
|
||||
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
|
||||
|
||||
[project]
|
||||
name = "langgraph"
|
||||
version = "1.2.0a3"
|
||||
version = "1.2.0a7"
|
||||
description = "Building stateful, multi-actor applications with LLMs"
|
||||
authors = []
|
||||
requires-python = ">=3.10"
|
||||
@@ -24,10 +24,10 @@ classifiers = [
|
||||
'Programming Language :: Python :: 3.13',
|
||||
]
|
||||
dependencies = [
|
||||
"langchain-core>=1.3.2,<2",
|
||||
"langgraph-checkpoint>=4.1.0a3,<5.0.0",
|
||||
"langchain-core>=1.4.0a2,<2",
|
||||
"langgraph-checkpoint>=4.1.0a4,<5.0.0",
|
||||
"langgraph-sdk>=0.3.0,<0.4.0",
|
||||
"langgraph-prebuilt>=1.0.12,<1.1.0",
|
||||
"langgraph-prebuilt>=1.1.0a2,<1.2.0",
|
||||
"xxhash>=3.5.0",
|
||||
"pydantic>=2.7.4",
|
||||
]
|
||||
|
||||
@@ -4,7 +4,6 @@ from typing import Annotated
|
||||
|
||||
import pytest
|
||||
from langchain_core.messages import AIMessage, HumanMessage, RemoveMessage
|
||||
from langgraph.checkpoint.base import DELTA_SENTINEL
|
||||
from langgraph.checkpoint.memory import InMemorySaver
|
||||
from langgraph.checkpoint.serde.types import _DeltaSnapshot
|
||||
from typing_extensions import NotRequired, TypedDict
|
||||
@@ -140,11 +139,11 @@ def test_delta_channel_basic_two_steps() -> None:
|
||||
|
||||
ch.update([HumanMessage(content="hi", id="h1")])
|
||||
d1 = ch.checkpoint()
|
||||
assert d1 is DELTA_SENTINEL
|
||||
assert d1 is MISSING
|
||||
|
||||
ch.update([AIMessage(content="hello", id="a1")])
|
||||
d2 = ch.checkpoint()
|
||||
assert d2 is DELTA_SENTINEL
|
||||
assert d2 is MISSING
|
||||
|
||||
assert len(ch.get()) == 2
|
||||
assert ch.get()[0].content == "hi"
|
||||
@@ -154,7 +153,7 @@ def test_delta_channel_basic_two_steps() -> None:
|
||||
def test_delta_channel_from_checkpoint_writes_list() -> None:
|
||||
"""replay_writes on a fresh channel replays through the operator."""
|
||||
spec = DeltaChannel(_messages_delta_reducer, list)
|
||||
ch = spec.from_checkpoint(DELTA_SENTINEL)
|
||||
ch = spec.from_checkpoint(MISSING)
|
||||
ch.replay_writes(
|
||||
[
|
||||
("t0", "messages", HumanMessage(content="hi", id="h1")),
|
||||
@@ -182,7 +181,7 @@ def test_delta_channel_overwrite() -> None:
|
||||
|
||||
ch.update([Overwrite([HumanMessage(content="new", id="h2")])])
|
||||
d = ch.checkpoint()
|
||||
assert d is DELTA_SENTINEL
|
||||
assert d is MISSING
|
||||
assert len(ch.get()) == 1
|
||||
assert ch.get()[0].content == "new"
|
||||
|
||||
@@ -202,7 +201,7 @@ def test_delta_channel_remove_message_and_replay() -> None:
|
||||
ch.update([RemoveMessage(id="a1")])
|
||||
assert ch.get() == [HumanMessage(content="hi", id="h1")]
|
||||
|
||||
ch2 = spec.from_checkpoint(DELTA_SENTINEL)
|
||||
ch2 = spec.from_checkpoint(MISSING)
|
||||
ch2.replay_writes(
|
||||
[
|
||||
("t0", "messages", HumanMessage(content="hi", id="h1")),
|
||||
@@ -222,7 +221,7 @@ def test_delta_channel_update_by_id_and_replay() -> None:
|
||||
ch.update([HumanMessage(content="updated", id="h1")])
|
||||
assert ch.get() == [HumanMessage(content="updated", id="h1")]
|
||||
|
||||
ch2 = spec.from_checkpoint(DELTA_SENTINEL)
|
||||
ch2 = spec.from_checkpoint(MISSING)
|
||||
ch2.replay_writes(
|
||||
[
|
||||
("t0", "messages", HumanMessage(content="original", id="h1")),
|
||||
@@ -233,13 +232,70 @@ def test_delta_channel_update_by_id_and_replay() -> None:
|
||||
assert ch2.get()[0].content == "updated"
|
||||
|
||||
|
||||
def test_delta_channel_checkpoint_returns_sentinel() -> None:
|
||||
"""checkpoint() always returns DELTA_SENTINEL regardless of state."""
|
||||
def test_delta_channel_dict_coercion() -> None:
|
||||
"""_messages_delta_reducer coerces dict writes to BaseMessage objects.
|
||||
|
||||
HTTP-driven input always arrives as JSON dicts. The reducer must coerce
|
||||
them (same contract as add_messages) so graphs work without a separate
|
||||
coercion step.
|
||||
"""
|
||||
ch = DeltaChannel(_messages_delta_reducer, list).from_checkpoint(MISSING)
|
||||
assert ch.checkpoint() is DELTA_SENTINEL
|
||||
|
||||
# dict input — simulates what arrives from the HTTP API
|
||||
ch.update([{"role": "human", "content": "hello", "id": "h1"}])
|
||||
assert len(ch.get()) == 1
|
||||
assert isinstance(ch.get()[0], HumanMessage)
|
||||
assert ch.get()[0].content == "hello"
|
||||
assert ch.get()[0].id == "h1"
|
||||
|
||||
# update by ID via dict
|
||||
ch.update([{"role": "ai", "content": "world", "id": "h1"}])
|
||||
assert len(ch.get()) == 1
|
||||
assert ch.get()[0].content == "world"
|
||||
|
||||
# remove via RemoveMessage instance (same contract as add_messages)
|
||||
ch.update([RemoveMessage(id="h1")])
|
||||
assert ch.get() == []
|
||||
|
||||
|
||||
def test_messages_delta_reducer_coerces_state() -> None:
|
||||
"""State (left side) is coerced when raw — supports raw initial input
|
||||
and deserialized blobs. The steady-state path (state already typed)
|
||||
short-circuits and skips coercion.
|
||||
"""
|
||||
state = [{"role": "human", "content": "hello", "id": "h1"}]
|
||||
writes = [[{"role": "ai", "content": "world", "id": "h1"}]]
|
||||
result = _messages_delta_reducer(state, writes) # type: ignore[arg-type]
|
||||
assert len(result) == 1
|
||||
assert isinstance(result[0], AIMessage)
|
||||
assert result[0].content == "world"
|
||||
assert result[0].id == "h1"
|
||||
|
||||
|
||||
def test_messages_delta_reducer_tuple_write_is_one_message() -> None:
|
||||
"""A top-level tuple write is one message-like, not a sequence to flatten.
|
||||
|
||||
`("user", "hi")` is a valid `MessageLikeRepresentation`; flattening it
|
||||
would produce two HumanMessages ("user", "hi") instead of one.
|
||||
"""
|
||||
result = _messages_delta_reducer([], [("user", "hi")]) # type: ignore[arg-type]
|
||||
assert len(result) == 1
|
||||
assert isinstance(result[0], HumanMessage)
|
||||
assert result[0].content == "hi"
|
||||
|
||||
|
||||
def test_delta_channel_checkpoint_returns_missing() -> None:
|
||||
"""checkpoint() always returns MISSING regardless of state.
|
||||
|
||||
Pregel writes `_DeltaSnapshot(ch.get())` directly into `channel_values`
|
||||
on snapshot steps; the channel itself never participates in snapshot
|
||||
serialization, so its `checkpoint()` is always the absence sentinel.
|
||||
"""
|
||||
ch = DeltaChannel(_messages_delta_reducer, list).from_checkpoint(MISSING)
|
||||
assert ch.checkpoint() is MISSING
|
||||
|
||||
ch.update([HumanMessage(content="hi", id="h1")])
|
||||
assert ch.checkpoint() is DELTA_SENTINEL
|
||||
assert ch.checkpoint() is MISSING
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
@@ -247,12 +303,13 @@ def test_delta_channel_checkpoint_returns_sentinel() -> None:
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def test_delta_channel_snapshot_step_based() -> None:
|
||||
"""Snapshots fire on every Nth step regardless of whether the channel was written.
|
||||
def test_delta_channel_snapshot_version_based() -> None:
|
||||
"""Snapshots fire when a channel accumulates `snapshot_frequency` updates.
|
||||
|
||||
With snapshot_frequency=N, every Nth pregel step produces a _DeltaSnapshot
|
||||
blob — even if the channel had no write that step (eager snapshot). This
|
||||
bounds the ancestor walk to at most N steps on any read.
|
||||
Under the version-delta cadence, every time the channel's
|
||||
`current_version - last_snapshot_version >= snapshot_frequency` a
|
||||
`_DeltaSnapshot` blob is written. Bounds the ancestor walk to at most
|
||||
`snapshot_frequency` steps on any read for that channel.
|
||||
"""
|
||||
|
||||
class State(TypedDict):
|
||||
@@ -295,51 +352,14 @@ def test_delta_channel_snapshot_step_based() -> None:
|
||||
assert len(state.values["messages"]) == 12 # 6 human + 6 AI
|
||||
|
||||
|
||||
def test_delta_channel_snapshot_fires_even_when_not_written() -> None:
|
||||
"""Eager snapshot: _DeltaSnapshot stored at snapshot step even when the
|
||||
channel had no write that step (node_b doesn't touch messages).
|
||||
"""
|
||||
|
||||
class State(TypedDict):
|
||||
messages: Annotated[
|
||||
list, DeltaChannel(_messages_delta_reducer, snapshot_frequency=3)
|
||||
]
|
||||
tick: int
|
||||
|
||||
def writer(state: State) -> dict:
|
||||
i = len(state["messages"]) // 2
|
||||
return {"messages": [AIMessage(content=f"a{i}", id=f"a{i}")]}
|
||||
|
||||
def ticker(state: State) -> dict:
|
||||
return {"tick": state["tick"] + 1}
|
||||
|
||||
g = StateGraph(State)
|
||||
g.add_node("writer", writer)
|
||||
g.add_node("ticker", ticker)
|
||||
g.add_edge(START, "writer")
|
||||
g.add_edge("writer", "ticker")
|
||||
saver = InMemorySaver()
|
||||
graph = g.compile(checkpointer=saver)
|
||||
|
||||
config = {"configurable": {"thread_id": "t1"}}
|
||||
for i in range(5):
|
||||
graph.invoke(
|
||||
{"messages": [HumanMessage(content=f"h{i}", id=f"h{i}")], "tick": 0},
|
||||
config,
|
||||
)
|
||||
|
||||
msg_blobs = {
|
||||
k: saver.serde.loads_typed((t, b))
|
||||
for k, (t, b) in saver.blobs.items()
|
||||
if k[2] == "messages" and t == "msgpack" and b
|
||||
}
|
||||
snapshots = {k: v for k, v in msg_blobs.items() if isinstance(v, _DeltaSnapshot)}
|
||||
assert snapshots, (
|
||||
"eager snapshots must fire even on steps where messages wasn't written"
|
||||
)
|
||||
|
||||
state = graph.get_state(config)
|
||||
assert len(state.values["messages"]) == 10 # 5 human + 5 AI
|
||||
# TODO(delta-channel-cadence): the previous "snapshot fires even when channel
|
||||
# was not written" test asserted eager step-based snapshotting; under the new
|
||||
# version-delta cadence (`should_snapshot` triggers on per-channel update
|
||||
# count, not superstep count), no snapshot fires for an unwritten channel.
|
||||
# Replace with a test that exercises the version-delta trigger plus the
|
||||
# durability="exit" force-snapshot branch — see
|
||||
# `docs/superpowers/specs/2026-05-04-delta-channel-batched-reads-design.md`
|
||||
# section "Snapshot cadence".
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
@@ -414,11 +434,11 @@ def test_delta_channel_dict_reducer_basic_updates() -> None:
|
||||
|
||||
ch.update([{"a": 1}])
|
||||
d1 = ch.checkpoint()
|
||||
assert d1 is DELTA_SENTINEL
|
||||
assert d1 is MISSING
|
||||
|
||||
ch.update([{"b": 2}])
|
||||
d2 = ch.checkpoint()
|
||||
assert d2 is DELTA_SENTINEL
|
||||
assert d2 is MISSING
|
||||
|
||||
assert ch.get() == {"a": 1, "b": 2}
|
||||
|
||||
@@ -433,7 +453,7 @@ def test_delta_channel_dict_reducer_writes_reconstruction() -> None:
|
||||
return result
|
||||
|
||||
spec = _delta_channel_with_type(merge_dicts, dict)
|
||||
ch = spec.from_checkpoint(DELTA_SENTINEL)
|
||||
ch = spec.from_checkpoint(MISSING)
|
||||
ch.replay_writes(
|
||||
[
|
||||
("t0", "files", {"a": 1}),
|
||||
@@ -463,7 +483,7 @@ def test_delta_channel_dict_reducer_with_deletions() -> None:
|
||||
assert ch.get() == {"file2.py": "content2", "file3.py": "content3"}
|
||||
|
||||
spec = _delta_channel_with_type(merge_files, dict)
|
||||
ch2 = spec.from_checkpoint(DELTA_SENTINEL)
|
||||
ch2 = spec.from_checkpoint(MISSING)
|
||||
ch2.replay_writes(
|
||||
[
|
||||
("t0", "files", {"file1.py": "content1", "file2.py": "content2"}),
|
||||
@@ -498,7 +518,7 @@ def test_delta_channel_dict_reducer_overwrite_in_writes_replay() -> None:
|
||||
return result
|
||||
|
||||
spec = _delta_channel_with_type(merge_dicts, dict)
|
||||
ch = spec.from_checkpoint(DELTA_SENTINEL)
|
||||
ch = spec.from_checkpoint(MISSING)
|
||||
ch.replay_writes(
|
||||
[
|
||||
("t0", "files", {"a": 1}),
|
||||
@@ -639,7 +659,7 @@ def test_delta_channel_from_checkpoint_seed_without_writes() -> None:
|
||||
def test_delta_channel_from_checkpoint_seed_none_is_distinct_from_sentinel() -> None:
|
||||
"""`seed=None` must start replay from None, not from an empty channel.
|
||||
|
||||
The DELTA_SENTINEL / MISSING sentinels mean 'no seed'; passing `None`
|
||||
The `MISSING` absence sentinel means 'no seed'; passing `None`
|
||||
explicitly should feed None to the reducer as the left operand.
|
||||
"""
|
||||
|
||||
|
||||
@@ -1,35 +1,41 @@
|
||||
"""Benchmark: DeltaChannel snapshot_frequency — storage vs. read-depth tradeoff.
|
||||
"""Benchmark: DeltaChannel — multi-channel reads, mixed snapshot frequencies.
|
||||
|
||||
Run directly: python tests/test_delta_channel_benchmark.py
|
||||
Run via pytest: pytest tests/test_delta_channel_benchmark.py -s
|
||||
|
||||
Part 1 — baseline (original): DeltaChannel(inf) vs add_messages (BinOp).
|
||||
Part 2 — snapshot_frequency sweep: shows the storage/read-latency tradeoff
|
||||
across frequencies [1, 5, 10, 50, inf] at scale.
|
||||
Sweeps `(K delta channels, snapshot_frequency strategy, turn count)` and
|
||||
reports per-scenario read latency, write latency, storage, and peak Python
|
||||
heap usage during `get_state`.
|
||||
|
||||
Key insight:
|
||||
snapshot_frequency=inf → O(N) storage, O(N) read depth (pure delta)
|
||||
snapshot_frequency=N → O(N²/N) storage, O(N) read depth bounded by freq
|
||||
snapshot_frequency=1 → O(N²) storage, O(1) read depth (full snapshot)
|
||||
Scenarios cover the dimensions where this branch's optimizations matter:
|
||||
|
||||
* K-channel batching — varying K (number of `DeltaChannel`s the graph
|
||||
reads on hydrate) shows the effect of merging
|
||||
per-channel reads into a single saver call.
|
||||
* Mixed frequencies — channels with very different snapshot cadences
|
||||
in one graph exercise the per-channel chain
|
||||
bound in stage-2.
|
||||
* Turn count — chain depth shows how paged stage-1 holds up.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import contextlib
|
||||
import math
|
||||
import gc
|
||||
import os
|
||||
import sys
|
||||
import time
|
||||
import tracemalloc
|
||||
from typing import Annotated, Any
|
||||
|
||||
import pytest
|
||||
from langchain_core.messages import AIMessage, HumanMessage
|
||||
from langchain_core.messages import HumanMessage
|
||||
from langgraph.checkpoint.memory import MemorySaver
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
from langgraph.channels.delta import DeltaChannel
|
||||
from langgraph.graph import END, StateGraph
|
||||
from langgraph.graph.message import _messages_delta_reducer, add_messages
|
||||
from langgraph.graph.message import _messages_delta_reducer
|
||||
|
||||
try:
|
||||
from langgraph.checkpoint.postgres import PostgresSaver
|
||||
@@ -42,24 +48,16 @@ try:
|
||||
except ImportError:
|
||||
_POSTGRES_AVAILABLE = False
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Realistic message payload (~100 tokens / ~400 chars each)
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
_HUMAN_TEMPLATE = (
|
||||
"I need help understanding the implications of {topic} on our system architecture. "
|
||||
"Specifically, I'm concerned about how this interacts with our existing {concern} "
|
||||
"and whether we need to refactor the {component} layer before proceeding. "
|
||||
"We've had prior incidents in this area and want to be deliberate. "
|
||||
"What should we prioritize first, and are there known failure modes we should design around from the start?"
|
||||
)
|
||||
|
||||
_AI_TEMPLATE = (
|
||||
"Great question about {topic}. The key insight here is that {concern} introduces "
|
||||
"a subtle ordering dependency that most teams overlook until they hit it in production. "
|
||||
"For your {component} layer specifically, I'd recommend starting with a careful audit "
|
||||
"of the interface boundaries before making any structural changes. This will give you "
|
||||
"a clear picture of the blast radius and let you sequence the migration safely."
|
||||
"I need help understanding the implications of {topic} on our system "
|
||||
"architecture. Specifically, I'm concerned about how this interacts with "
|
||||
"our existing {concern} and whether we need to refactor the {component} "
|
||||
"layer before proceeding."
|
||||
)
|
||||
|
||||
_TOPICS = [
|
||||
@@ -68,28 +66,9 @@ _TOPICS = [
|
||||
"schema migration",
|
||||
"backpressure handling",
|
||||
"idempotency guarantees",
|
||||
"cache invalidation",
|
||||
"connection pooling",
|
||||
"rate limiting",
|
||||
"circuit breaking",
|
||||
"observability pipelines",
|
||||
]
|
||||
|
||||
_CONCERNS = [
|
||||
"concurrency model",
|
||||
"retry semantics",
|
||||
"state management",
|
||||
"error propagation",
|
||||
"latency budget",
|
||||
]
|
||||
|
||||
_COMPONENTS = [
|
||||
"persistence",
|
||||
"routing",
|
||||
"ingestion",
|
||||
"aggregation",
|
||||
"serialization",
|
||||
]
|
||||
_CONCERNS = ["concurrency model", "retry semantics", "ordering guarantees"]
|
||||
_COMPONENTS = ["persistence", "ingestion", "routing"]
|
||||
|
||||
|
||||
def _human_content(i: int) -> str:
|
||||
@@ -100,136 +79,132 @@ def _human_content(i: int) -> str:
|
||||
)
|
||||
|
||||
|
||||
def _ai_content(i: int) -> str:
|
||||
return _AI_TEMPLATE.format(
|
||||
topic=_TOPICS[i % len(_TOPICS)],
|
||||
concern=_CONCERNS[i % len(_CONCERNS)],
|
||||
component=_COMPONENTS[i % len(_COMPONENTS)],
|
||||
)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# State definitions
|
||||
# State / graph factory: K DeltaChannel fields with per-channel freqs
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class BinaryState(TypedDict):
|
||||
messages: Annotated[list, add_messages]
|
||||
|
||||
|
||||
class DeltaState(TypedDict):
|
||||
messages: Annotated[list, DeltaChannel(_messages_delta_reducer)]
|
||||
|
||||
|
||||
def _make_delta_state(snapshot_frequency: int | float) -> type:
|
||||
"""Create a TypedDict with DeltaChannel at the given snapshot_frequency."""
|
||||
channel = DeltaChannel(
|
||||
_messages_delta_reducer, snapshot_frequency=snapshot_frequency
|
||||
)
|
||||
# Use the functional TypedDict form so the Annotated type is stored as an
|
||||
# already-evaluated object rather than a forward-reference string (which
|
||||
# would fail when get_type_hints tries to resolve 'snapshot_frequency').
|
||||
def _make_state_cls(freqs: list[int]) -> type:
|
||||
"""Build a TypedDict with one DeltaChannel per entry in `freqs`."""
|
||||
fields: dict[str, Any] = {}
|
||||
for i, freq in enumerate(freqs):
|
||||
ch = DeltaChannel(_messages_delta_reducer, snapshot_frequency=freq)
|
||||
fields[f"ch{i}"] = Annotated[list, ch]
|
||||
return TypedDict( # type: ignore[return-value]
|
||||
f"DeltaState_freq{snapshot_frequency}",
|
||||
{"messages": Annotated[list, channel]},
|
||||
"_BenchState_" + "-".join(str(f) for f in freqs),
|
||||
fields,
|
||||
)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Graph factory
|
||||
# ---------------------------------------------------------------------------
|
||||
def _make_graph(state_cls: type, K: int, checkpointer: Any = None) -> Any:
|
||||
"""Graph: one node, writes a fresh message into every channel each turn."""
|
||||
|
||||
|
||||
def _make_graph(state_cls: type, checkpointer: Any = None) -> Any:
|
||||
def human_node(state: Any) -> dict:
|
||||
return {}
|
||||
|
||||
def ai_node(state: Any) -> dict:
|
||||
i = len(state["messages"]) // 2
|
||||
return {"messages": [AIMessage(content=_ai_content(i), id=f"a{i}")]}
|
||||
def fanout(state: Any) -> dict[str, Any]:
|
||||
i = max(len(state.get(f"ch{j}", [])) for j in range(K))
|
||||
# Each channel gets its own copy with a unique id so the reducer
|
||||
# does meaningful per-channel state accumulation.
|
||||
return {
|
||||
f"ch{j}": [HumanMessage(content=_human_content(i), id=f"c{j}_{i}")]
|
||||
for j in range(K)
|
||||
}
|
||||
|
||||
g = StateGraph(state_cls)
|
||||
g.add_node("human", human_node)
|
||||
g.add_node("ai", ai_node)
|
||||
g.add_edge("human", "ai")
|
||||
g.add_edge("ai", END)
|
||||
g.set_entry_point("human")
|
||||
g.add_node("fanout", fanout)
|
||||
g.set_entry_point("fanout")
|
||||
g.add_edge("fanout", END)
|
||||
return g.compile(checkpointer=checkpointer or MemorySaver())
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Measurement helpers
|
||||
# Storage / memory measurement
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def _total_blob_bytes(saver: MemorySaver) -> int:
|
||||
total = 0
|
||||
for (_, _, _, _), (type_tag, blob) in saver.blobs.items():
|
||||
if blob is not None:
|
||||
total += len(blob)
|
||||
return total
|
||||
def _inmemory_blob_bytes(saver: MemorySaver) -> int:
|
||||
return sum(
|
||||
len(blob) for (_, _, _, _), (_, blob) in saver.blobs.items() if blob is not None
|
||||
)
|
||||
|
||||
|
||||
def _run_turns(
|
||||
n_turns: int,
|
||||
state_cls: type,
|
||||
checkpointer: Any = None,
|
||||
) -> tuple[float, float, int]:
|
||||
"""Run n_turns conversation turns.
|
||||
|
||||
Returns (write_elapsed_s, read_elapsed_s, total_blob_bytes).
|
||||
Read latency is the average of 5 get_state calls after the full history
|
||||
is built — forces state rehydration including ancestor replay if needed.
|
||||
def _postgres_storage_bytes(saver: Any, thread_id: str) -> int:
|
||||
"""Total bytes across checkpoints / checkpoint_blobs / checkpoint_writes
|
||||
rows for this `thread_id`. Uses `pg_column_size` for an in-row payload
|
||||
estimate; faster than full-table size and scoped to the thread."""
|
||||
sql = """
|
||||
SELECT COALESCE(SUM(pg_column_size(c.*)), 0)
|
||||
+ COALESCE((SELECT SUM(pg_column_size(b.*)) FROM checkpoint_blobs b
|
||||
WHERE b.thread_id = %s), 0)
|
||||
+ COALESCE((SELECT SUM(pg_column_size(w.*)) FROM checkpoint_writes w
|
||||
WHERE w.thread_id = %s), 0)
|
||||
AS total
|
||||
FROM checkpoints c
|
||||
WHERE c.thread_id = %s
|
||||
"""
|
||||
graph = _make_graph(state_cls, checkpointer)
|
||||
config = {"configurable": {"thread_id": "bench"}}
|
||||
with saver._cursor() as cur:
|
||||
cur.execute(sql, (thread_id, thread_id, thread_id))
|
||||
row = cur.fetchone()
|
||||
if row is None:
|
||||
return 0
|
||||
if isinstance(row, dict):
|
||||
return int(row.get("total") or 0)
|
||||
return int(row[0] or 0)
|
||||
|
||||
|
||||
def _run_scenario(
|
||||
freqs: list[int],
|
||||
n_turns: int,
|
||||
checkpointer: Any,
|
||||
thread_id: str,
|
||||
) -> dict[str, float | int]:
|
||||
"""Drive `n_turns` invocations of a K-channel graph, measure
|
||||
write/read/storage/peak-memory."""
|
||||
K = len(freqs)
|
||||
state_cls = _make_state_cls(freqs)
|
||||
graph = _make_graph(state_cls, K, checkpointer)
|
||||
config = {"configurable": {"thread_id": thread_id}}
|
||||
|
||||
# Write phase
|
||||
t0 = time.perf_counter()
|
||||
for i in range(n_turns):
|
||||
graph.invoke(
|
||||
{"messages": [HumanMessage(content=_human_content(i), id=f"h{i}")]},
|
||||
config,
|
||||
)
|
||||
graph.invoke({}, config)
|
||||
write_elapsed = time.perf_counter() - t0
|
||||
|
||||
# Read phase + tracemalloc peak across get_state calls
|
||||
gc.collect()
|
||||
tracemalloc.start()
|
||||
t1 = time.perf_counter()
|
||||
for _ in range(5):
|
||||
graph.get_state(config)
|
||||
read_elapsed = (time.perf_counter() - t1) / 5
|
||||
_, peak_bytes = tracemalloc.get_traced_memory()
|
||||
tracemalloc.stop()
|
||||
|
||||
blob_bytes = (
|
||||
_total_blob_bytes(graph.checkpointer)
|
||||
if isinstance(graph.checkpointer, MemorySaver)
|
||||
else -1
|
||||
)
|
||||
return write_elapsed, read_elapsed, blob_bytes
|
||||
# Storage
|
||||
if isinstance(graph.checkpointer, MemorySaver):
|
||||
storage = _inmemory_blob_bytes(graph.checkpointer)
|
||||
elif _POSTGRES_AVAILABLE and isinstance(graph.checkpointer, PostgresSaver):
|
||||
storage = _postgres_storage_bytes(graph.checkpointer, thread_id)
|
||||
else:
|
||||
storage = -1
|
||||
|
||||
|
||||
def _fmt_bytes(n: int) -> str:
|
||||
if n >= 1_000_000:
|
||||
return f"{n / 1_000_000:.1f} MB"
|
||||
if n >= 1_000:
|
||||
return f"{n / 1_000:.1f} KB"
|
||||
return f"{n} B"
|
||||
|
||||
|
||||
def _approx_tokens(n_turns: int) -> str:
|
||||
tokens = n_turns * 200
|
||||
if tokens >= 1_000_000:
|
||||
return f"~{tokens / 1_000_000:.1f}M tok"
|
||||
if tokens >= 1_000:
|
||||
return f"~{tokens / 1_000:.0f}K tok"
|
||||
return f"~{tokens} tok"
|
||||
return {
|
||||
"K": K,
|
||||
"turns": n_turns,
|
||||
"write_total_s": write_elapsed,
|
||||
"write_per_invoke_ms": (write_elapsed / n_turns) * 1000,
|
||||
"read_avg_ms": read_elapsed * 1000,
|
||||
"storage_bytes": storage,
|
||||
"peak_mem_bytes": peak_bytes,
|
||||
}
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Checkpointer factories
|
||||
# Postgres helpers
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
@contextlib.contextmanager
|
||||
def _pg_saver(thread_id: str = "bench"):
|
||||
"""Context manager that yields a fresh PostgresSaver and cleans up after."""
|
||||
def _pg_saver(thread_id: str):
|
||||
with PostgresSaver.from_conn_string(_POSTGRES_URI) as saver:
|
||||
saver.setup()
|
||||
with saver._cursor() as cur:
|
||||
@@ -242,7 +217,6 @@ def _pg_saver(thread_id: str = "bench"):
|
||||
|
||||
|
||||
def _checkpointers() -> list[tuple[str, Any]]:
|
||||
"""Return (label, saver_or_None) pairs for available checkpointers."""
|
||||
result: list[tuple[str, Any]] = [("InMemory", None)]
|
||||
if _POSTGRES_AVAILABLE:
|
||||
try:
|
||||
@@ -256,223 +230,92 @@ def _checkpointers() -> list[tuple[str, Any]]:
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Part 1: baseline DeltaChannel(inf) vs add_messages
|
||||
# Scenarios
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
BASELINE_TURN_COUNTS = [10, 25, 50, 100, 500]
|
||||
DELTA_ONLY_TURN_COUNTS = [1000]
|
||||
SCENARIOS: list[tuple[str, list[int]]] = [
|
||||
("K=1, freq=50", [50]),
|
||||
("K=3, freq=50 uniform", [50, 50, 50]),
|
||||
("K=3, freq=mixed", [50, 200, 1000]),
|
||||
("K=8, freq=50 uniform", [50] * 8),
|
||||
("K=8, freq=mixed", [25, 50, 100, 200, 500, 1000, 1000, 1000]),
|
||||
]
|
||||
|
||||
TURN_COUNTS = [100, 500]
|
||||
|
||||
|
||||
def _run_baseline_for_checkpointer(cp_label: str, cp_hint: Any) -> None:
|
||||
W = 72
|
||||
def _fmt_bytes(n: int) -> str:
|
||||
if n < 0:
|
||||
return "n/a"
|
||||
if n >= 1_000_000:
|
||||
return f"{n / 1_000_000:.1f} MB"
|
||||
if n >= 1_000:
|
||||
return f"{n / 1_000:.1f} KB"
|
||||
return f"{n} B"
|
||||
|
||||
def _make_saver():
|
||||
if cp_hint is None:
|
||||
return contextlib.nullcontext(None)
|
||||
return _pg_saver()
|
||||
|
||||
rows: list[tuple[int, Any, Any, Any, Any, Any, Any]] = []
|
||||
for turns in BASELINE_TURN_COUNTS:
|
||||
with _make_saver() as saver:
|
||||
b_wt, b_rt, b_bytes = _run_turns(turns, BinaryState, saver)
|
||||
with _make_saver() as saver:
|
||||
d_wt, d_rt, d_bytes = _run_turns(turns, DeltaState, saver)
|
||||
rows.append((turns, b_bytes, d_bytes, b_rt, d_rt, b_wt, d_wt))
|
||||
for turns in DELTA_ONLY_TURN_COUNTS:
|
||||
with _make_saver() as saver:
|
||||
d_wt, d_rt, d_bytes = _run_turns(turns, DeltaState, saver)
|
||||
rows.append((turns, None, d_bytes, None, d_rt, None, d_wt))
|
||||
|
||||
def _bytes_or_na(v: Any) -> str:
|
||||
if v is None or v < 0:
|
||||
return "n/a"
|
||||
return _fmt_bytes(v)
|
||||
|
||||
def _ms_or_na(v: Any) -> str:
|
||||
return "n/a" if v is None else f"{v * 1000:.1f}ms"
|
||||
|
||||
print(f"\n [{cp_label}] Storage (blob bytes)")
|
||||
print(
|
||||
f" {'turns':>6} {'ctx':>10} {'add_msgs':>12} {'delta(inf)':>12} {'savings':>8}"
|
||||
def _print_scenario_table(cp_label: str, rows: list[dict]) -> None:
|
||||
print(f"\n [{cp_label}]")
|
||||
header = (
|
||||
f" {'scenario':<28}{'turns':>8}{'write_ms':>11}"
|
||||
f"{'read_ms':>10}{'storage':>12}{'peak_mem':>12}"
|
||||
)
|
||||
print(" " + "-" * (W - 2))
|
||||
for turns, b_bytes, d_bytes, b_rt, d_rt, b_wt, d_wt in rows:
|
||||
if b_bytes is None or b_bytes < 0 or d_bytes is None or d_bytes < 0:
|
||||
ratio_str = "n/a"
|
||||
else:
|
||||
ratio = b_bytes / d_bytes if d_bytes else float("inf")
|
||||
ratio_str = f"{ratio:.0f}x"
|
||||
print(header)
|
||||
print(" " + "-" * (len(header) - 2))
|
||||
for row in rows:
|
||||
print(
|
||||
f" {turns:>6} {_approx_tokens(turns):>10} "
|
||||
f"{_bytes_or_na(b_bytes):>12} {_bytes_or_na(d_bytes):>12} {ratio_str:>8}"
|
||||
)
|
||||
|
||||
print(f"\n [{cp_label}] Read latency (avg of 5 get_state calls)")
|
||||
print(f" {'turns':>6} {'ctx':>10} {'add_msgs':>12} {'delta(inf)':>12}")
|
||||
print(" " + "-" * (W - 2))
|
||||
for turns, b_bytes, d_bytes, b_rt, d_rt, b_wt, d_wt in rows:
|
||||
print(
|
||||
f" {turns:>6} {_approx_tokens(turns):>10} "
|
||||
f"{_ms_or_na(b_rt):>12} {_ms_or_na(d_rt):>12}"
|
||||
f" {row['scenario']:<28}"
|
||||
f"{row['turns']:>8}"
|
||||
f"{row['write_per_invoke_ms']:>10.1f}"
|
||||
f"{row['read_avg_ms']:>10.2f}"
|
||||
f"{_fmt_bytes(row['storage_bytes']):>12}"
|
||||
f"{_fmt_bytes(row['peak_mem_bytes']):>12}"
|
||||
)
|
||||
|
||||
|
||||
def run_baseline_benchmark() -> None:
|
||||
print()
|
||||
print("Part 1 — DeltaChannel(inf) vs add_messages: storage & latency")
|
||||
print("=" * 72)
|
||||
def run_benchmark() -> list[dict]:
|
||||
"""Run the full sweep and return all measurement rows."""
|
||||
all_rows: list[dict] = []
|
||||
for cp_label, cp_hint in _checkpointers():
|
||||
_run_baseline_for_checkpointer(cp_label, cp_hint)
|
||||
print()
|
||||
rows: list[dict] = []
|
||||
for scenario_label, freqs in SCENARIOS:
|
||||
for turns in TURN_COUNTS:
|
||||
thread_id = f"bench-{scenario_label.replace(' ', '_')}-{turns}".lower()
|
||||
if cp_hint is None:
|
||||
saver_ctx: Any = contextlib.nullcontext(None)
|
||||
else:
|
||||
saver_ctx = _pg_saver(thread_id)
|
||||
with saver_ctx as saver:
|
||||
measured = _run_scenario(freqs, turns, saver, thread_id)
|
||||
measured["scenario"] = scenario_label
|
||||
measured["saver"] = cp_label
|
||||
rows.append(measured)
|
||||
all_rows.append(measured)
|
||||
_print_scenario_table(cp_label, rows)
|
||||
return all_rows
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Part 2: snapshot_frequency sweep
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
# Frequencies to test. 1 = always snapshot (like BinOp), inf = pure delta.
|
||||
SNAPSHOT_FREQUENCIES: list[int | float] = [1, 5, 10, 50, math.inf]
|
||||
|
||||
# Turn counts for the sweep — high enough to show storage divergence.
|
||||
SWEEP_TURN_COUNTS = [50, 100, 500]
|
||||
|
||||
|
||||
def _freq_label(freq: int | float) -> str:
|
||||
if freq == math.inf:
|
||||
return "inf"
|
||||
return str(int(freq))
|
||||
|
||||
|
||||
def _run_sweep_for_checkpointer(cp_label: str, cp_hint: Any) -> None:
|
||||
def _make_saver():
|
||||
if cp_hint is None:
|
||||
return contextlib.nullcontext(None)
|
||||
return _pg_saver()
|
||||
|
||||
# Collect results: {turns: {freq_label: (write_s, read_s, bytes)}}
|
||||
results: dict[int, dict[str, tuple[float, float, int]]] = {}
|
||||
for turns in SWEEP_TURN_COUNTS:
|
||||
results[turns] = {}
|
||||
for freq in SNAPSHOT_FREQUENCIES:
|
||||
state_cls = _make_delta_state(freq)
|
||||
with _make_saver() as saver:
|
||||
wt, rt, bb = _run_turns(turns, state_cls, saver)
|
||||
results[turns][_freq_label(freq)] = (wt, rt, bb)
|
||||
|
||||
freq_labels = [_freq_label(f) for f in SNAPSHOT_FREQUENCIES]
|
||||
col_w = 12
|
||||
|
||||
header = f" {'turns':>6} {'ctx':>10}" + "".join(
|
||||
f" {f'freq={freq_label}':>{col_w}}" for freq_label in freq_labels
|
||||
)
|
||||
|
||||
print(f"\n [{cp_label}] Storage (blob bytes) — lower is better")
|
||||
print(header)
|
||||
print(" " + "-" * (len(header) - 2))
|
||||
for turns in SWEEP_TURN_COUNTS:
|
||||
row = f" {turns:>6} {_approx_tokens(turns):>10}"
|
||||
for label in freq_labels:
|
||||
_, _, bb = results[turns][label]
|
||||
row += f" {_fmt_bytes(bb) if bb >= 0 else 'n/a':>{col_w}}"
|
||||
print(row)
|
||||
|
||||
print(f"\n [{cp_label}] Read latency (avg of 5 get_state) — lower is better")
|
||||
print(header)
|
||||
print(" " + "-" * (len(header) - 2))
|
||||
for turns in SWEEP_TURN_COUNTS:
|
||||
row = f" {turns:>6} {_approx_tokens(turns):>10}"
|
||||
for label in freq_labels:
|
||||
_, rt, _ = results[turns][label]
|
||||
row += f" {f'{rt * 1000:.1f}ms':>{col_w}}"
|
||||
print(row)
|
||||
|
||||
print(
|
||||
f"\n [{cp_label}] Per-invoke write latency (total / turns) — lower is better"
|
||||
)
|
||||
print(header)
|
||||
print(" " + "-" * (len(header) - 2))
|
||||
for turns in SWEEP_TURN_COUNTS:
|
||||
row = f" {turns:>6} {_approx_tokens(turns):>10}"
|
||||
for label in freq_labels:
|
||||
wt, _, _ = results[turns][label]
|
||||
row += f" {f'{(wt / turns) * 1000:.1f}ms':>{col_w}}"
|
||||
print(row)
|
||||
|
||||
|
||||
def run_snapshot_freq_benchmark() -> None:
|
||||
print()
|
||||
print("Part 2 — DeltaChannel snapshot_frequency sweep")
|
||||
print("Lower freq → fewer snapshots → less storage but deeper read replay")
|
||||
print("=" * 80)
|
||||
for cp_label, cp_hint in _checkpointers():
|
||||
_run_sweep_for_checkpointer(cp_label, cp_hint)
|
||||
print()
|
||||
print("Legend:")
|
||||
print(
|
||||
" freq=1 snapshot every write (full blob always — same as add_messages / BinOp)"
|
||||
)
|
||||
print(" freq=N snapshot every N writes; read walks at most N ancestor writes")
|
||||
print(" freq=inf pure delta; read walks entire ancestor chain")
|
||||
print()
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Pytest entry points
|
||||
# Pytest entry point
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
@pytest.mark.skip(
|
||||
reason="slow benchmark — run manually with: python tests/test_delta_channel_benchmark.py"
|
||||
)
|
||||
def test_delta_channel_baseline_benchmark(capsys: Any) -> None:
|
||||
"""DeltaChannel(inf) uses less storage than add_messages at scale."""
|
||||
def test_delta_channel_benchmark(capsys: Any) -> None:
|
||||
"""Manual benchmark — see module docstring."""
|
||||
with capsys.disabled():
|
||||
run_baseline_benchmark()
|
||||
|
||||
for turns in [25, 50]:
|
||||
_, _, b_bytes = _run_turns(turns, BinaryState)
|
||||
_, _, d_bytes = _run_turns(turns, DeltaState)
|
||||
assert d_bytes < b_bytes, (
|
||||
f"DeltaChannel should use less storage at {turns} turns, "
|
||||
f"got delta={d_bytes} binary={b_bytes}"
|
||||
)
|
||||
|
||||
|
||||
@pytest.mark.skip(
|
||||
reason="slow benchmark — run manually with: python tests/test_delta_channel_benchmark.py"
|
||||
)
|
||||
def test_snapshot_freq_benchmark(capsys: Any) -> None:
|
||||
"""snapshot_frequency trades storage for bounded read depth."""
|
||||
with capsys.disabled():
|
||||
run_snapshot_freq_benchmark()
|
||||
|
||||
# Correctness: results at all frequencies should agree on final state.
|
||||
n_turns = 20
|
||||
states: dict[str, list] = {}
|
||||
for freq in SNAPSHOT_FREQUENCIES:
|
||||
state_cls = _make_delta_state(freq)
|
||||
graph = _make_graph(state_cls)
|
||||
config = {"configurable": {"thread_id": "correctness"}}
|
||||
for i in range(n_turns):
|
||||
graph.invoke(
|
||||
{"messages": [HumanMessage(content=_human_content(i), id=f"h{i}")]},
|
||||
config,
|
||||
)
|
||||
state = graph.get_state(config)
|
||||
states[_freq_label(freq)] = [m.id for m in state.values["messages"]]
|
||||
|
||||
ref = states["inf"]
|
||||
for label, msg_ids in states.items():
|
||||
assert msg_ids == ref, (
|
||||
f"freq={label} produced different message IDs than freq=inf"
|
||||
)
|
||||
run_benchmark()
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Script entry point
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
run_baseline_benchmark()
|
||||
run_snapshot_freq_benchmark()
|
||||
print("DeltaChannel benchmark — multi-channel reads, mixed frequencies")
|
||||
print("=" * 78)
|
||||
run_benchmark()
|
||||
sys.exit(0)
|
||||
|
||||
@@ -6,11 +6,14 @@ checkpointer — pre-migration state visible at each *settled* ancestor
|
||||
checkpoint is preserved, and post-migration writes fold on top through
|
||||
the reducer.
|
||||
|
||||
Mechanism under test: the saver's `_get_channel_writes_history(config,
|
||||
channel)` walks the parent chain; when it encounters an ancestor whose
|
||||
`channel_values[channel]` is a real value (not `DELTA_SENTINEL`), it
|
||||
returns that as the `seed`. `DeltaChannel.from_checkpoint(seed)` uses
|
||||
it as the base value, and `replay_writes(writes)` folds on-path deltas.
|
||||
Mechanism under test: the saver's public `get_delta_channel_history(config,
|
||||
channels)` walks the parent chain; when it encounters an ancestor whose
|
||||
`channel_values[channel]` is a real value, it populates that channel's
|
||||
`seed` in the returned `DeltaChannelHistory`. If the walk reaches the root
|
||||
without finding a stored value, the `seed` key is omitted (TypedDict
|
||||
absence indicates "start empty"). `DeltaChannel.from_checkpoint(seed)`
|
||||
uses it as the base value, and `replay_writes(writes)` folds on-path
|
||||
deltas.
|
||||
|
||||
Scenarios covered:
|
||||
|
||||
@@ -29,8 +32,8 @@ Scenarios covered:
|
||||
pre-migration seed.
|
||||
4. **Base-saver fallback path**: a third-party-style subclass that
|
||||
removes the optimized `InMemorySaver` override and falls back to
|
||||
`BaseCheckpointSaver._get_channel_writes_history` must produce the
|
||||
same result as the optimized path.
|
||||
`BaseCheckpointSaver.get_delta_channel_history` must produce the same
|
||||
result as the optimized path.
|
||||
5. **Channel-type isolation across threads**: two threads on the same
|
||||
checkpointer under the delta-channel graph — one freshly-started,
|
||||
one migrated from pre-migration state — don't cross-contaminate.
|
||||
@@ -266,8 +269,8 @@ def test_continuing_migrated_thread_folds_deltas_on_seed() -> None:
|
||||
|
||||
class _ThirdPartyStyleSaver(InMemorySaver):
|
||||
"""Simulates a third-party saver that inherits the reference
|
||||
`_get_channel_writes_history` implementation from
|
||||
`BaseCheckpointSaver` rather than overriding it.
|
||||
`get_delta_channel_history` implementation from `BaseCheckpointSaver`
|
||||
rather than overriding it.
|
||||
|
||||
We rebind the two methods to the base-class versions (via MRO) so
|
||||
the fallback path is exercised even though the storage layer is
|
||||
@@ -275,11 +278,11 @@ class _ThirdPartyStyleSaver(InMemorySaver):
|
||||
"""
|
||||
|
||||
# MRO: [_ThirdPartyStyleSaver, InMemorySaver, BaseCheckpointSaver, ...]
|
||||
_get_channel_writes_history = ( # type: ignore[assignment]
|
||||
InMemorySaver.__mro__[1]._get_channel_writes_history # type: ignore[attr-defined]
|
||||
get_delta_channel_history = ( # type: ignore[assignment]
|
||||
InMemorySaver.__mro__[1].get_delta_channel_history # type: ignore[attr-defined]
|
||||
)
|
||||
_aget_channel_writes_history = ( # type: ignore[assignment]
|
||||
InMemorySaver.__mro__[1]._aget_channel_writes_history # type: ignore[attr-defined]
|
||||
aget_delta_channel_history = ( # type: ignore[assignment]
|
||||
InMemorySaver.__mro__[1].aget_delta_channel_history # type: ignore[attr-defined]
|
||||
)
|
||||
|
||||
|
||||
@@ -326,7 +329,7 @@ def test_delta_and_migrated_threads_do_not_cross_contaminate() -> None:
|
||||
"""Two threads sharing a checkpointer — one migrated from
|
||||
pre-migration state, one freshly-started under DeltaChannel — must
|
||||
maintain independent state. The parent-chain walk in
|
||||
`_get_channel_writes_history` must be scoped to the target thread.
|
||||
`get_delta_channel_history` must be scoped to the target thread.
|
||||
"""
|
||||
|
||||
checkpointer = InMemorySaver()
|
||||
@@ -429,9 +432,10 @@ async def test_tip_of_pre_migration_hydrates_directly_async() -> None:
|
||||
|
||||
def test_update_state_after_migration_uses_written_value() -> None:
|
||||
"""After migrating and running at least one post-migration super-step
|
||||
(so the thread's tip has a `DELTA_SENTINEL`), `update_state` writes a
|
||||
concrete value to a new checkpoint's `channel_values`. `get_state`
|
||||
must reflect that concrete value."""
|
||||
(so the thread's tip has its delta channel absent from `channel_values`,
|
||||
or stored as a `_DeltaSnapshot` on a snapshot step), `update_state`
|
||||
writes a concrete value into a new checkpoint's `channel_values`.
|
||||
`get_state` must reflect that concrete value."""
|
||||
|
||||
checkpointer = InMemorySaver()
|
||||
config = {"configurable": {"thread_id": "update-state"}}
|
||||
@@ -441,7 +445,8 @@ def test_update_state_after_migration_uses_written_value() -> None:
|
||||
_drive(binop, config, "u", 2)
|
||||
|
||||
# Migrate and run one more super-step so the tip is a post-migration
|
||||
# checkpoint with `DELTA_SENTINEL` in its own `channel_values`.
|
||||
# checkpoint where the delta channel is absent from `channel_values`
|
||||
# (no snapshot fired this step).
|
||||
delta = _delta_graph(checkpointer)
|
||||
delta.invoke({"items": ["post"]}, config)
|
||||
|
||||
|
||||
@@ -291,13 +291,15 @@ class TestInterleaveArrivalOrder:
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Integration test: interleave with stream_v2
|
||||
# Integration test: interleave with stream_events(version="v3")
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestInterleaveIntegration:
|
||||
def test_interleave_values_and_messages(self) -> None:
|
||||
run = _build_simple_graph().stream_v2({"value": "x", "items": []})
|
||||
run = _build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
tagged = list(run.interleave("values", "messages"))
|
||||
names = [name for name, _ in tagged]
|
||||
assert set(names).issubset({"values", "messages"})
|
||||
@@ -319,7 +321,9 @@ class TestInterleaveIntegration:
|
||||
list(run.interleave("alpha"))
|
||||
|
||||
def test_interleave_releases_projections_on_completion(self) -> None:
|
||||
run = _build_simple_graph().stream_v2({"value": "x", "items": []})
|
||||
run = _build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
list(run.interleave("values", "messages"))
|
||||
# Subscriptions should be released after the generator completes,
|
||||
# so the channels can be re-iterated (they'll be empty / closed).
|
||||
@@ -327,7 +331,9 @@ class TestInterleaveIntegration:
|
||||
assert run.extensions["messages"]._subscribed is False
|
||||
|
||||
def test_interleave_releases_projections_on_early_break(self) -> None:
|
||||
run = _build_simple_graph().stream_v2({"value": "x", "items": []})
|
||||
run = _build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
gen = run.interleave("values", "messages")
|
||||
next(gen)
|
||||
gen.close()
|
||||
|
||||
@@ -25,7 +25,6 @@ from langchain_core.runnables import (
|
||||
from langchain_core.runnables.graph import Edge
|
||||
from langgraph.cache.base import BaseCache
|
||||
from langgraph.checkpoint.base import (
|
||||
DELTA_SENTINEL,
|
||||
BaseCheckpointSaver,
|
||||
Checkpoint,
|
||||
CheckpointMetadata,
|
||||
@@ -9618,7 +9617,9 @@ async def test_delta_channel_durability_exit_stores_snapshot() -> None:
|
||||
|
||||
async def test_delta_channel_async_write_ordering() -> None:
|
||||
"""In async mode, DeltaChannel write futures are awaited before the checkpoint
|
||||
is committed, so aput_writes always precedes aput for sentinel checkpoints."""
|
||||
is committed, so aput_writes always precedes aput for delta-channel
|
||||
checkpoints (those where the delta channel had a versioned write but
|
||||
is absent from `channel_values`, i.e. no snapshot fired this step)."""
|
||||
|
||||
class State(TypedDict):
|
||||
messages: Annotated[list, DeltaChannel(_messages_delta_reducer)]
|
||||
@@ -9637,10 +9638,17 @@ async def test_delta_channel_async_write_ordering() -> None:
|
||||
return result
|
||||
|
||||
async def tracked_aput(self, config, checkpoint, metadata, new_versions):
|
||||
has_sentinel = any(
|
||||
v is DELTA_SENTINEL for v in checkpoint.get("channel_values", {}).values()
|
||||
# A "delta" checkpoint here = `messages` versioned but absent from
|
||||
# `channel_values` (no snapshot fired). When a snapshot does fire,
|
||||
# `channel_values["messages"]` is a `_DeltaSnapshot` — also a delta
|
||||
# checkpoint shape, since the writes still have to be persisted
|
||||
# before the parent checkpoint commits.
|
||||
channel_values = checkpoint.get("channel_values", {})
|
||||
is_delta_step = (
|
||||
"messages" in checkpoint.get("channel_versions", {})
|
||||
and "messages" not in channel_values
|
||||
)
|
||||
order.append("aput_sentinel" if has_sentinel else "aput_other")
|
||||
order.append("aput_delta" if is_delta_step else "aput_other")
|
||||
return await original_aput(self, config, checkpoint, metadata, new_versions)
|
||||
|
||||
InMemorySaver.aput_writes = tracked_aput_writes
|
||||
@@ -9657,18 +9665,18 @@ async def test_delta_channel_async_write_ordering() -> None:
|
||||
{"messages": [HumanMessage(content=f"h{i}", id=f"h{i}")]}, config
|
||||
)
|
||||
|
||||
# Every aput_sentinel must be preceded by at least one aput_writes
|
||||
# Every aput_delta must be preceded by at least one aput_writes
|
||||
for i, event in enumerate(order):
|
||||
if event == "aput_sentinel":
|
||||
if event == "aput_delta":
|
||||
preceding = order[:i]
|
||||
assert "aput_writes" in preceding, (
|
||||
f"aput_sentinel at {i} had no preceding aput_writes: {order}"
|
||||
f"aput_delta at {i} had no preceding aput_writes: {order}"
|
||||
)
|
||||
last_write_idx = max(
|
||||
j for j, e in enumerate(order[:i]) if e == "aput_writes"
|
||||
)
|
||||
assert last_write_idx < i, (
|
||||
f"aput_writes at {last_write_idx} should precede aput_sentinel at {i}: {order}"
|
||||
f"aput_writes at {last_write_idx} should precede aput_delta at {i}: {order}"
|
||||
)
|
||||
finally:
|
||||
InMemorySaver.aput_writes = original_aput_writes
|
||||
|
||||
+128
-56
@@ -1,4 +1,4 @@
|
||||
"""Tests for Pregel.stream_v2 / astream_v2 and the transformer pipeline."""
|
||||
"""Tests for Pregel.stream_events(version="v3") / astream_events(version="v3") and the transformer pipeline."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
@@ -125,7 +125,7 @@ def _build_custom_stream_graph():
|
||||
class _CustomPassthroughTransformer(StreamTransformer):
|
||||
"""Opts a run into the `custom` stream mode without building a projection.
|
||||
|
||||
`stream_v2` requests only the modes that registered transformers
|
||||
`stream_events(version="v3")` requests only the modes that registered transformers
|
||||
declare via `required_stream_modes`. Custom events are raw user
|
||||
emissions from `StreamWriter`, so tests that want them visible on
|
||||
the main event log register this pass-through transformer.
|
||||
@@ -390,25 +390,31 @@ class TestStreamChannelNamed:
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# stream_v2 sync tests
|
||||
# stream_events(version="v3") sync tests
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestStreamV2Sync:
|
||||
def test_values_projection(self) -> None:
|
||||
run = _build_simple_graph().stream_v2({"value": "x", "items": []})
|
||||
run = _build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
snapshots = list(run.values)
|
||||
assert len(snapshots) >= 1
|
||||
last = snapshots[-1]
|
||||
assert "A" in last["value"] and "B" in last["value"]
|
||||
|
||||
def test_output(self) -> None:
|
||||
run = _build_simple_graph().stream_v2({"value": "x", "items": []})
|
||||
run = _build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
output = run.output
|
||||
assert output == {"value": "xAB", "items": ["a", "b"]}
|
||||
|
||||
def test_raw_event_iteration(self) -> None:
|
||||
run = _build_simple_graph().stream_v2({"value": "x", "items": []})
|
||||
run = _build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
events = list(run)
|
||||
assert len(events) > 0
|
||||
for event in events:
|
||||
@@ -418,22 +424,27 @@ class TestStreamV2Sync:
|
||||
assert isinstance(event["params"]["timestamp"], int)
|
||||
|
||||
def test_extensions_has_native_keys(self) -> None:
|
||||
run = _build_simple_graph().stream_v2({"value": "x", "items": []})
|
||||
run = _build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
_ = run.output
|
||||
assert "values" in run.extensions and "messages" in run.extensions
|
||||
assert run.values is run.extensions["values"]
|
||||
assert run.messages is run.extensions["messages"]
|
||||
|
||||
def test_extensions_is_read_only(self) -> None:
|
||||
run = _build_simple_graph().stream_v2({"value": "x", "items": []})
|
||||
run = _build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
with pytest.raises(TypeError):
|
||||
run.extensions["new_key"] = object() # type: ignore[index]
|
||||
with pytest.raises(TypeError):
|
||||
del run.extensions["values"] # type: ignore[attr-defined]
|
||||
|
||||
def test_custom_stream_events(self) -> None:
|
||||
run = _build_custom_stream_graph().stream_v2(
|
||||
run = _build_custom_stream_graph().stream_events(
|
||||
{"value": "x", "items": []},
|
||||
version="v3",
|
||||
transformers=[_CustomPassthroughTransformer],
|
||||
)
|
||||
custom_events = [e for e in run if e["method"] == "custom"]
|
||||
@@ -444,18 +455,22 @@ class TestStreamV2Sync:
|
||||
def test_custom_events_suppressed_without_transformer(self) -> None:
|
||||
"""Without a transformer declaring `"custom"`, no custom events flow.
|
||||
|
||||
`stream_v2` asks the graph only for the modes that registered
|
||||
`stream_events(version="v3")` asks the graph only for the modes that registered
|
||||
transformers require. Built-ins cover `values` / `messages`;
|
||||
consumers that want raw custom events surface them by
|
||||
registering a transformer whose `required_stream_modes`
|
||||
includes `"custom"`.
|
||||
"""
|
||||
run = _build_custom_stream_graph().stream_v2({"value": "x", "items": []})
|
||||
run = _build_custom_stream_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
custom_events = [e for e in run if e["method"] == "custom"]
|
||||
assert custom_events == []
|
||||
|
||||
def test_interleave_values_and_messages(self) -> None:
|
||||
run = _build_simple_graph().stream_v2({"value": "x", "items": []})
|
||||
run = _build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
tagged = list(run.interleave("values", "messages"))
|
||||
names = [name for name, _ in tagged]
|
||||
assert set(names).issubset({"values", "messages"})
|
||||
@@ -465,7 +480,9 @@ class TestStreamV2Sync:
|
||||
assert run.extensions["messages"]._subscribed is False
|
||||
|
||||
def test_abort_marks_exhausted_and_closes_mux(self) -> None:
|
||||
run = _build_simple_graph().stream_v2({"value": "x", "items": []})
|
||||
run = _build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
values_iter = iter(run.values)
|
||||
_ = next(values_iter)
|
||||
run.abort()
|
||||
@@ -474,48 +491,63 @@ class TestStreamV2Sync:
|
||||
run.abort() # idempotent
|
||||
|
||||
def test_context_manager_calls_abort_on_exit(self) -> None:
|
||||
with _build_simple_graph().stream_v2({"value": "x", "items": []}) as run:
|
||||
with _build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
) as run:
|
||||
_ = next(iter(run.values))
|
||||
assert run._exhausted is True
|
||||
|
||||
def test_interleave_unknown_projection(self) -> None:
|
||||
run = _build_simple_graph().stream_v2({"value": "x", "items": []})
|
||||
run = _build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
with pytest.raises(KeyError):
|
||||
list(run.interleave("values", "does_not_exist"))
|
||||
|
||||
|
||||
class TestStreamV2SyncErrors:
|
||||
def test_error_propagation_output(self) -> None:
|
||||
run = _build_error_graph().stream_v2({"value": "x", "items": []})
|
||||
run = _build_error_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
with pytest.raises(ValueError, match="boom"):
|
||||
_ = run.output
|
||||
|
||||
def test_error_propagation_values(self) -> None:
|
||||
run = _build_error_graph().stream_v2({"value": "x", "items": []})
|
||||
run = _build_error_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
with pytest.raises(ValueError, match="boom"):
|
||||
list(run.values)
|
||||
|
||||
def test_error_propagation_raw_events(self) -> None:
|
||||
run = _build_error_graph().stream_v2({"value": "x", "items": []})
|
||||
run = _build_error_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
with pytest.raises(ValueError, match="boom"):
|
||||
list(run)
|
||||
|
||||
def test_error_propagation_interrupted(self) -> None:
|
||||
run = _build_error_graph().stream_v2({"value": "x", "items": []})
|
||||
run = _build_error_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
with pytest.raises(ValueError, match="boom"):
|
||||
_ = run.interrupted
|
||||
|
||||
def test_error_propagation_interrupts(self) -> None:
|
||||
run = _build_error_graph().stream_v2({"value": "x", "items": []})
|
||||
run = _build_error_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
with pytest.raises(ValueError, match="boom"):
|
||||
_ = run.interrupts
|
||||
|
||||
|
||||
class TestStreamV2SyncInterrupt:
|
||||
def test_interrupted(self) -> None:
|
||||
run = _build_interrupt_graph().stream_v2(
|
||||
run = _build_interrupt_graph().stream_events(
|
||||
{"value": "x", "items": []},
|
||||
{"configurable": {"thread_id": "t1"}},
|
||||
version="v3",
|
||||
)
|
||||
_ = run.output
|
||||
assert run.interrupted is True
|
||||
@@ -523,7 +555,7 @@ class TestStreamV2SyncInterrupt:
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# astream_v2 async tests
|
||||
# astream_events(version="v3") async tests
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
@@ -531,26 +563,34 @@ class TestStreamV2SyncInterrupt:
|
||||
@NEEDS_CONTEXTVARS
|
||||
class TestStreamV2Async:
|
||||
async def test_values_projection(self) -> None:
|
||||
run = await _build_simple_graph().astream_v2({"value": "x", "items": []})
|
||||
run = await _build_simple_graph().astream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
snapshots = [s async for s in run.values]
|
||||
assert len(snapshots) >= 1
|
||||
last = snapshots[-1]
|
||||
assert "A" in last["value"] and "B" in last["value"]
|
||||
|
||||
async def test_output(self) -> None:
|
||||
run = await _build_simple_graph().astream_v2({"value": "x", "items": []})
|
||||
run = await _build_simple_graph().astream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
output = await run.output()
|
||||
assert output == {"value": "xAB", "items": ["a", "b"]}
|
||||
|
||||
async def test_raw_event_iteration(self) -> None:
|
||||
run = await _build_simple_graph().astream_v2({"value": "x", "items": []})
|
||||
run = await _build_simple_graph().astream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
events = [e async for e in run]
|
||||
assert len(events) > 0
|
||||
for event in events:
|
||||
assert event["type"] == "event"
|
||||
|
||||
async def test_abort_marks_exhausted_and_closes_mux(self) -> None:
|
||||
run = await _build_simple_graph().astream_v2({"value": "x", "items": []})
|
||||
run = await _build_simple_graph().astream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
values_iter = aiter(run.values)
|
||||
_ = await anext(values_iter)
|
||||
await run.abort()
|
||||
@@ -560,21 +600,26 @@ class TestStreamV2Async:
|
||||
await run.abort() # idempotent
|
||||
|
||||
async def test_context_manager_calls_abort_on_exit(self) -> None:
|
||||
run = await _build_simple_graph().astream_v2({"value": "x", "items": []})
|
||||
run = await _build_simple_graph().astream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
async with run:
|
||||
_ = await anext(aiter(run.values))
|
||||
assert run._exhausted is True
|
||||
|
||||
async def test_extensions_has_native_keys(self) -> None:
|
||||
run = await _build_simple_graph().astream_v2({"value": "x", "items": []})
|
||||
run = await _build_simple_graph().astream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
_ = await run.output()
|
||||
assert "values" in run.extensions and "messages" in run.extensions
|
||||
assert run.values is run.extensions["values"]
|
||||
assert run.messages is run.extensions["messages"]
|
||||
|
||||
async def test_custom_stream_events(self) -> None:
|
||||
run = await _build_custom_stream_graph().astream_v2(
|
||||
run = await _build_custom_stream_graph().astream_events(
|
||||
{"value": "x", "items": []},
|
||||
version="v3",
|
||||
transformers=[_CustomPassthroughTransformer],
|
||||
)
|
||||
events = [e async for e in run]
|
||||
@@ -588,29 +633,39 @@ class TestStreamV2Async:
|
||||
@NEEDS_CONTEXTVARS
|
||||
class TestStreamV2AsyncErrors:
|
||||
async def test_error_propagation_output(self) -> None:
|
||||
run = await _build_error_graph().astream_v2({"value": "x", "items": []})
|
||||
run = await _build_error_graph().astream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
with pytest.raises(ValueError, match="boom"):
|
||||
await run.output()
|
||||
|
||||
async def test_error_propagation_values(self) -> None:
|
||||
run = await _build_error_graph().astream_v2({"value": "x", "items": []})
|
||||
run = await _build_error_graph().astream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
with pytest.raises(ValueError, match="boom"):
|
||||
async for _ in run.values:
|
||||
pass
|
||||
|
||||
async def test_error_propagation_raw_events(self) -> None:
|
||||
run = await _build_error_graph().astream_v2({"value": "x", "items": []})
|
||||
run = await _build_error_graph().astream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
with pytest.raises(ValueError, match="boom"):
|
||||
async for _ in run:
|
||||
pass
|
||||
|
||||
async def test_error_propagation_interrupted(self) -> None:
|
||||
run = await _build_error_graph().astream_v2({"value": "x", "items": []})
|
||||
run = await _build_error_graph().astream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
with pytest.raises(ValueError, match="boom"):
|
||||
await run.interrupted()
|
||||
|
||||
async def test_error_propagation_interrupts(self) -> None:
|
||||
run = await _build_error_graph().astream_v2({"value": "x", "items": []})
|
||||
run = await _build_error_graph().astream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
with pytest.raises(ValueError, match="boom"):
|
||||
await run.interrupts()
|
||||
|
||||
@@ -619,9 +674,10 @@ class TestStreamV2AsyncErrors:
|
||||
@NEEDS_CONTEXTVARS
|
||||
class TestStreamV2AsyncInterrupt:
|
||||
async def test_interrupted(self) -> None:
|
||||
run = await _build_interrupt_graph().astream_v2(
|
||||
run = await _build_interrupt_graph().astream_events(
|
||||
{"value": "x", "items": []},
|
||||
{"configurable": {"thread_id": "t2"}},
|
||||
version="v3",
|
||||
)
|
||||
_ = await run.output()
|
||||
assert await run.interrupted() is True
|
||||
@@ -985,8 +1041,8 @@ class TestCustomTransformer:
|
||||
self._channel.push(self._count)
|
||||
return True
|
||||
|
||||
run = _build_simple_graph().stream_v2(
|
||||
{"value": "x", "items": []}, transformers=[CounterTransformer]
|
||||
run = _build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3", transformers=[CounterTransformer]
|
||||
)
|
||||
assert "counter" in run.extensions
|
||||
counter_iter = iter(run.extensions["counter"])
|
||||
@@ -1011,15 +1067,15 @@ class TestCustomTransformer:
|
||||
self._log.push("saw_values")
|
||||
return True
|
||||
|
||||
run = _build_simple_graph().stream_v2(
|
||||
{"value": "x", "items": []}, transformers=[FooTransformer]
|
||||
run = _build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3", transformers=[FooTransformer]
|
||||
)
|
||||
foo_iter = iter(run.foo)
|
||||
_ = run.output
|
||||
assert "foo" in run.extensions and run.foo is run.extensions["foo"]
|
||||
assert "saw_values" in list(foo_iter)
|
||||
|
||||
def test_stream_v2_rejects_transformer_instances(self) -> None:
|
||||
def test_stream_events_v3_rejects_transformer_instances(self) -> None:
|
||||
class InstanceTransformer(StreamTransformer):
|
||||
def init(self) -> dict[str, Any]:
|
||||
return {}
|
||||
@@ -1028,8 +1084,10 @@ class TestCustomTransformer:
|
||||
return True
|
||||
|
||||
with pytest.raises(TypeError, match="pre-built instance"):
|
||||
_build_simple_graph().stream_v2(
|
||||
{"value": "x", "items": []}, transformers=[InstanceTransformer()]
|
||||
_build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []},
|
||||
version="v3",
|
||||
transformers=[InstanceTransformer()],
|
||||
)
|
||||
|
||||
def test_stream_channel_auto_forward(self) -> None:
|
||||
@@ -1048,8 +1106,8 @@ class TestCustomTransformer:
|
||||
self._channel.push("emitted")
|
||||
return True
|
||||
|
||||
run = _build_simple_graph().stream_v2(
|
||||
{"value": "x", "items": []}, transformers=[EmitterTransformer]
|
||||
run = _build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3", transformers=[EmitterTransformer]
|
||||
)
|
||||
custom_events = [e for e in run if e["method"] == "custom:emitter"]
|
||||
assert len(custom_events) > 0
|
||||
@@ -1093,8 +1151,10 @@ class TestCustomTransformer:
|
||||
return True
|
||||
|
||||
with pytest.raises(ValueError, match=r"conflict.*'values'.*ValuesTransformer"):
|
||||
_build_simple_graph().stream_v2(
|
||||
{"value": "x", "items": []}, transformers=[ConflictTransformer]
|
||||
_build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []},
|
||||
version="v3",
|
||||
transformers=[ConflictTransformer],
|
||||
)
|
||||
|
||||
|
||||
@@ -1176,8 +1236,8 @@ class TestStreamChannelAutoLifecycle:
|
||||
self._log.push("got_it")
|
||||
return True
|
||||
|
||||
run = _build_simple_graph().stream_v2(
|
||||
{"value": "x", "items": []}, transformers=[MinimalTransformer]
|
||||
run = _build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3", transformers=[MinimalTransformer]
|
||||
)
|
||||
minimal_iter = iter(run.extensions["minimal"])
|
||||
_ = run.output
|
||||
@@ -1437,8 +1497,8 @@ class TestAsyncTransformerLane:
|
||||
async def afinalize(self) -> None:
|
||||
self._log.close()
|
||||
|
||||
run = await _build_simple_graph().astream_v2(
|
||||
{"value": "x", "items": []}, transformers=[Scorer]
|
||||
run = await _build_simple_graph().astream_events(
|
||||
{"value": "x", "items": []}, version="v3", transformers=[Scorer]
|
||||
)
|
||||
scores_cursor = aiter(run.extensions["scores"])
|
||||
_ = await run.output()
|
||||
@@ -1454,7 +1514,9 @@ class TestAsyncTransformerLane:
|
||||
@NEEDS_CONTEXTVARS
|
||||
class TestMemoryBounds:
|
||||
def test_sync_subscribed_buffer_stays_at_most_one_between_yields(self) -> None:
|
||||
run = _build_simple_graph().stream_v2({"value": "x", "items": []})
|
||||
run = _build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
events_iter = iter(run)
|
||||
max_buffered = 0
|
||||
count = 0
|
||||
@@ -1467,7 +1529,9 @@ class TestMemoryBounds:
|
||||
)
|
||||
|
||||
def test_unsubscribed_projections_never_accumulate(self) -> None:
|
||||
run = _build_simple_graph().stream_v2({"value": "x", "items": []})
|
||||
run = _build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
list(run)
|
||||
values_log = run.extensions["values"]
|
||||
messages_log = run.extensions["messages"]
|
||||
@@ -1475,19 +1539,25 @@ class TestMemoryBounds:
|
||||
assert len(messages_log._items) == 0 and not messages_log._subscribed
|
||||
|
||||
def test_output_path_does_not_retain_values(self) -> None:
|
||||
run = _build_simple_graph().stream_v2({"value": "x", "items": []})
|
||||
run = _build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
_ = run.output
|
||||
values_log = run.extensions["values"]
|
||||
assert len(values_log._items) == 0 and not values_log._subscribed
|
||||
|
||||
def test_drained_subscriber_buffer_returns_to_empty(self) -> None:
|
||||
run = _build_simple_graph().stream_v2({"value": "x", "items": []})
|
||||
run = _build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
list(run.values)
|
||||
assert len(run.extensions["values"]._items) == 0
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_async_single_consumer_buffer_stays_at_most_one(self) -> None:
|
||||
run = await _build_simple_graph().astream_v2({"value": "x", "items": []})
|
||||
run = await _build_simple_graph().astream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
max_buffered = 0
|
||||
count = 0
|
||||
async for _ in run:
|
||||
@@ -1498,7 +1568,9 @@ class TestMemoryBounds:
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_async_unsubscribed_projections_never_accumulate(self) -> None:
|
||||
run = await _build_simple_graph().astream_v2({"value": "x", "items": []})
|
||||
run = await _build_simple_graph().astream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
_ = await run.output()
|
||||
values_log = run.extensions["values"]
|
||||
messages_log = run.extensions["messages"]
|
||||
@@ -2210,7 +2210,6 @@ def test_graph_error_handler_does_not_swallow_interrupt_concurrent():
|
||||
)
|
||||
|
||||
|
||||
|
||||
def test_node_error_handlers_route_to_matching_handler():
|
||||
class State(TypedDict):
|
||||
route: str
|
||||
@@ -2268,4 +2267,3 @@ def test_node_without_error_handler_still_fails_run():
|
||||
|
||||
with pytest.raises(ValueError, match="no handler"):
|
||||
graph.invoke({"foo": ""})
|
||||
|
||||
|
||||
@@ -4,7 +4,7 @@ These transformers capture raw protocol events for their respective stream
|
||||
modes and expose them as native projections on the run stream (run.custom,
|
||||
run.updates, run.checkpoints, run.debug, run.tasks). Tests dispatch synthetic
|
||||
protocol events through a StreamMux to isolate transformer logic; the final
|
||||
group exercises real graphs through stream_v2.
|
||||
group exercises real graphs through stream_events(version="v3").
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
@@ -478,7 +478,7 @@ def test_unrelated_events_ignored_by_all() -> None:
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# End-to-end: real graphs through stream_v2
|
||||
# End-to-end: real graphs through stream_events(version="v3")
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
@@ -503,11 +503,11 @@ def _make_simple_graph() -> Any:
|
||||
return builder.compile()
|
||||
|
||||
|
||||
def test_stream_v2_custom_projection_opt_in() -> None:
|
||||
def test_stream_events_v3_custom_projection_opt_in() -> None:
|
||||
"""run.custom surfaces get_stream_writer() payloads when opted in."""
|
||||
graph = _make_simple_graph()
|
||||
run = graph.stream_v2(
|
||||
{"value": "hello", "items": []}, transformers=[CustomTransformer]
|
||||
run = graph.stream_events(
|
||||
{"value": "hello", "items": []}, version="v3", transformers=[CustomTransformer]
|
||||
)
|
||||
|
||||
custom_events = list(run.custom)
|
||||
@@ -515,11 +515,11 @@ def test_stream_v2_custom_projection_opt_in() -> None:
|
||||
assert any(e.get("status") == "working" for e in custom_events)
|
||||
|
||||
|
||||
def test_stream_v2_custom_and_values_coexist() -> None:
|
||||
def test_stream_events_v3_custom_and_values_coexist() -> None:
|
||||
"""Both run.custom and run.values work in the same run."""
|
||||
graph = _make_simple_graph()
|
||||
run = graph.stream_v2(
|
||||
{"value": "hello", "items": []}, transformers=[CustomTransformer]
|
||||
run = graph.stream_events(
|
||||
{"value": "hello", "items": []}, version="v3", transformers=[CustomTransformer]
|
||||
)
|
||||
|
||||
custom_events = list(run.custom)
|
||||
@@ -528,10 +528,12 @@ def test_stream_v2_custom_and_values_coexist() -> None:
|
||||
assert len(custom_events) >= 1
|
||||
|
||||
|
||||
def test_stream_v2_tasks_projection_opt_in() -> None:
|
||||
def test_stream_events_v3_tasks_projection_opt_in() -> None:
|
||||
"""run.tasks surfaces raw task events when opted in via transformers=."""
|
||||
graph = _make_simple_graph()
|
||||
run = graph.stream_v2({"value": "x", "items": []}, transformers=[TasksTransformer])
|
||||
run = graph.stream_events(
|
||||
{"value": "x", "items": []}, transformers=[TasksTransformer], version="v3"
|
||||
)
|
||||
|
||||
tasks_events = list(run.tasks)
|
||||
assert len(tasks_events) >= 1
|
||||
@@ -539,10 +541,12 @@ def test_stream_v2_tasks_projection_opt_in() -> None:
|
||||
assert "my_node" in names
|
||||
|
||||
|
||||
def test_stream_v2_debug_projection_opt_in() -> None:
|
||||
def test_stream_events_v3_debug_projection_opt_in() -> None:
|
||||
"""run.debug surfaces debug events when opted in via transformers=."""
|
||||
graph = _make_simple_graph()
|
||||
run = graph.stream_v2({"value": "x", "items": []}, transformers=[DebugTransformer])
|
||||
run = graph.stream_events(
|
||||
{"value": "x", "items": []}, transformers=[DebugTransformer], version="v3"
|
||||
)
|
||||
|
||||
debug_events = list(run.debug)
|
||||
assert len(debug_events) >= 1
|
||||
@@ -550,11 +554,11 @@ def test_stream_v2_debug_projection_opt_in() -> None:
|
||||
assert types & {"checkpoint", "task", "task_result"}
|
||||
|
||||
|
||||
def test_stream_v2_updates_projection_opt_in() -> None:
|
||||
def test_stream_events_v3_updates_projection_opt_in() -> None:
|
||||
"""run.updates surfaces node output dicts when opted in via transformers=."""
|
||||
graph = _make_simple_graph()
|
||||
run = graph.stream_v2(
|
||||
{"value": "x", "items": []}, transformers=[UpdatesTransformer]
|
||||
run = graph.stream_events(
|
||||
{"value": "x", "items": []}, version="v3", transformers=[UpdatesTransformer]
|
||||
)
|
||||
|
||||
updates = list(run.updates)
|
||||
@@ -563,11 +567,12 @@ def test_stream_v2_updates_projection_opt_in() -> None:
|
||||
assert "my_node" in node_names
|
||||
|
||||
|
||||
def test_stream_v2_all_transformers_interleaved() -> None:
|
||||
def test_stream_events_v3_all_transformers_interleaved() -> None:
|
||||
"""All five transformers registered together, consumed via interleave."""
|
||||
graph = _make_simple_graph()
|
||||
run = graph.stream_v2(
|
||||
run = graph.stream_events(
|
||||
{"value": "x", "items": []},
|
||||
version="v3",
|
||||
transformers=[
|
||||
CustomTransformer,
|
||||
UpdatesTransformer,
|
||||
@@ -599,7 +604,7 @@ def test_stream_v2_all_transformers_interleaved() -> None:
|
||||
assert run.output["value"] == "x!"
|
||||
|
||||
|
||||
def test_stream_v2_all_transformers_with_checkpointer() -> None:
|
||||
def test_stream_events_v3_all_transformers_with_checkpointer() -> None:
|
||||
"""All transformers with a checkpointer — run.checkpoints populated."""
|
||||
from langgraph.checkpoint.memory import InMemorySaver
|
||||
|
||||
@@ -609,8 +614,9 @@ def test_stream_v2_all_transformers_with_checkpointer() -> None:
|
||||
builder.add_edge("my_node", END)
|
||||
graph = builder.compile(checkpointer=InMemorySaver())
|
||||
|
||||
run = graph.stream_v2(
|
||||
run = graph.stream_events(
|
||||
{"value": "x", "items": []},
|
||||
version="v3",
|
||||
config={"configurable": {"thread_id": "test-all"}},
|
||||
transformers=[
|
||||
CustomTransformer,
|
||||
@@ -637,7 +643,7 @@ def test_stream_v2_all_transformers_with_checkpointer() -> None:
|
||||
assert len(collected["custom"]) >= 1
|
||||
|
||||
|
||||
def test_stream_v2_checkpoints_projection_opt_in() -> None:
|
||||
def test_stream_events_v3_checkpoints_projection_opt_in() -> None:
|
||||
"""run.checkpoints surfaces checkpoint data when opted in with a checkpointer."""
|
||||
from langgraph.checkpoint.memory import InMemorySaver
|
||||
|
||||
@@ -647,8 +653,9 @@ def test_stream_v2_checkpoints_projection_opt_in() -> None:
|
||||
builder.add_edge("my_node", END)
|
||||
graph = builder.compile(checkpointer=InMemorySaver())
|
||||
|
||||
run = graph.stream_v2(
|
||||
run = graph.stream_events(
|
||||
{"value": "x", "items": []},
|
||||
version="v3",
|
||||
config={"configurable": {"thread_id": "test-ckpt-standalone"}},
|
||||
transformers=[CheckpointsTransformer],
|
||||
)
|
||||
@@ -688,8 +695,9 @@ def test_tasks_and_lifecycle_coregistration_e2e() -> None:
|
||||
is present and suppressing them from the main log.
|
||||
"""
|
||||
graph = _make_simple_graph()
|
||||
run = graph.stream_v2(
|
||||
run = graph.stream_events(
|
||||
{"value": "x", "items": []},
|
||||
version="v3",
|
||||
transformers=[TasksTransformer],
|
||||
)
|
||||
|
||||
|
||||
+3
-3
@@ -231,7 +231,7 @@ class TestV2Stream:
|
||||
for c in chunks:
|
||||
_assert_stream_part_shape(c)
|
||||
|
||||
def test_stream_v2_accepts_control_for_drain(self) -> None:
|
||||
def test_stream_events_v3_accepts_control_for_drain(self) -> None:
|
||||
class DrainState(TypedDict, total=False):
|
||||
value: str
|
||||
skipped: str
|
||||
@@ -253,7 +253,7 @@ class TestV2Stream:
|
||||
builder.add_edge("second", END)
|
||||
graph = builder.compile()
|
||||
|
||||
run = graph.stream_v2({}, control=control)
|
||||
run = graph.stream_events({}, control=control, version="v3")
|
||||
with pytest.raises(GraphDrained, match="sigterm"):
|
||||
list(run.values)
|
||||
|
||||
@@ -1124,7 +1124,7 @@ class TestV2ValidationErrors:
|
||||
|
||||
_INVALID_INPUT: dict[str, Any] = {"value": [1, 2, 3], "items": []}
|
||||
|
||||
def test_stream_v2_pydantic_validation_error(self) -> None:
|
||||
def test_stream_events_v3_pydantic_validation_error(self) -> None:
|
||||
"""Invalid input to stream with v2 + pydantic state raises ValidationError."""
|
||||
graph = _make_pydantic_graph()
|
||||
with pytest.raises(ValidationError):
|
||||
+55
-39
@@ -1,9 +1,9 @@
|
||||
"""End-to-end tests exercising all stream_v2 projections together.
|
||||
"""End-to-end tests exercising all stream_events(version="v3") projections together.
|
||||
|
||||
Each test builds a realistic graph (subgraphs, LLM calls, custom writers,
|
||||
interrupts) and verifies that every projection — values, messages, lifecycle,
|
||||
subgraphs, raw events, output, interleave — produces correct, consistent
|
||||
results through a single stream_v2 / astream_v2 run.
|
||||
results through a single stream_events(version="v3") / astream_events(version="v3") run.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
@@ -218,9 +218,9 @@ class _CounterTransformer(StreamTransformer):
|
||||
|
||||
class TestStreamV2E2ESync:
|
||||
def test_all_projections_nested_graph(self) -> None:
|
||||
"""Run a nested graph through stream_v2 and verify values + lifecycle."""
|
||||
"""Run a nested graph through stream_events(version="v3") and verify values + lifecycle."""
|
||||
graph = _make_nested_graph()
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
run = graph.stream_events({"value": "x", "items": []}, version="v3")
|
||||
|
||||
values_snapshots: list[dict[str, Any]] = []
|
||||
lifecycle_events: list[dict[str, Any]] = []
|
||||
@@ -246,7 +246,7 @@ class TestStreamV2E2ESync:
|
||||
def test_subgraph_handles_with_drill_down(self) -> None:
|
||||
"""Subgraph handles yield and support values drill-down."""
|
||||
graph = _make_nested_graph()
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
run = graph.stream_events({"value": "x", "items": []}, version="v3")
|
||||
|
||||
handles = []
|
||||
for handle in run.subgraphs:
|
||||
@@ -270,7 +270,7 @@ class TestStreamV2E2ESync:
|
||||
def test_raw_events_have_monotonic_seq(self) -> None:
|
||||
"""Raw protocol events have monotonically increasing seq numbers."""
|
||||
graph = _make_nested_graph()
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
run = graph.stream_events({"value": "x", "items": []}, version="v3")
|
||||
events = list(run)
|
||||
assert len(events) > 0
|
||||
|
||||
@@ -285,11 +285,15 @@ class TestStreamV2E2ESync:
|
||||
|
||||
def test_output_matches_final_values_snapshot(self) -> None:
|
||||
"""output property returns the same state as the last values snapshot."""
|
||||
run1 = _make_nested_graph().stream_v2({"value": "x", "items": []})
|
||||
run1 = _make_nested_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
snapshots = list(run1.values)
|
||||
final_via_values = snapshots[-1]
|
||||
|
||||
run2 = _make_nested_graph().stream_v2({"value": "x", "items": []})
|
||||
run2 = _make_nested_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
final_via_output = run2.output
|
||||
|
||||
assert final_via_values == final_via_output
|
||||
@@ -297,7 +301,7 @@ class TestStreamV2E2ESync:
|
||||
def test_context_manager_and_abort(self) -> None:
|
||||
"""Context manager calls abort, marking the stream exhausted."""
|
||||
graph = _make_nested_graph()
|
||||
with graph.stream_v2({"value": "x", "items": []}) as run:
|
||||
with graph.stream_events({"value": "x", "items": []}, version="v3") as run:
|
||||
first_val = next(iter(run.values))
|
||||
assert isinstance(first_val, dict)
|
||||
assert run._exhausted is True
|
||||
@@ -305,7 +309,7 @@ class TestStreamV2E2ESync:
|
||||
def test_extensions_has_all_native_keys(self) -> None:
|
||||
"""Extensions dict exposes all native projection keys."""
|
||||
graph = _make_nested_graph()
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
run = graph.stream_events({"value": "x", "items": []}, version="v3")
|
||||
_ = run.output
|
||||
|
||||
assert "values" in run.extensions
|
||||
@@ -327,7 +331,7 @@ class TestStreamV2E2EMessages:
|
||||
def test_messages_projection_from_invoke(self) -> None:
|
||||
"""Messages projection captures LLM calls via model.invoke() auto-routing."""
|
||||
graph = _make_messages_graph()
|
||||
run = graph.stream_v2({"messages": "hi"})
|
||||
run = graph.stream_events({"messages": "hi"}, version="v3")
|
||||
streams = list(run.messages)
|
||||
|
||||
assert len(streams) >= 1
|
||||
@@ -350,7 +354,7 @@ class TestStreamV2E2EMessages:
|
||||
.compile()
|
||||
)
|
||||
|
||||
run = graph.stream_v2({"messages": "go"})
|
||||
run = graph.stream_events({"messages": "go"}, version="v3")
|
||||
(stream,) = list(run.messages)
|
||||
assert "".join(stream.text) == "streamed answer"
|
||||
|
||||
@@ -368,7 +372,7 @@ class TestStreamV2E2EMessages:
|
||||
.compile()
|
||||
)
|
||||
|
||||
run = graph.stream_v2({"messages": "hi"})
|
||||
run = graph.stream_events({"messages": "hi"}, version="v3")
|
||||
(stream,) = list(run.messages)
|
||||
assert stream.output.text == "hardcoded"
|
||||
assert stream.message_id == "msg-1"
|
||||
@@ -376,7 +380,7 @@ class TestStreamV2E2EMessages:
|
||||
def test_root_messages_only_shows_root_scope(self) -> None:
|
||||
"""Root messages projection doesn't surface subgraph-scoped messages."""
|
||||
graph = _make_messages_subgraph()
|
||||
run = graph.stream_v2({"messages": ["hi"], "done": False})
|
||||
run = graph.stream_events({"messages": ["hi"], "done": False}, version="v3")
|
||||
root_streams = list(run.messages)
|
||||
# The message is emitted inside the subgraph, so the root
|
||||
# messages projection (scoped to root namespace) doesn't see it.
|
||||
@@ -385,7 +389,7 @@ class TestStreamV2E2EMessages:
|
||||
def test_subgraph_handle_messages_drill_down(self) -> None:
|
||||
"""Drilling into subgraph handle's messages surfaces subgraph messages."""
|
||||
graph = _make_messages_subgraph()
|
||||
run = graph.stream_v2({"messages": ["hi"], "done": False})
|
||||
run = graph.stream_events({"messages": ["hi"], "done": False}, version="v3")
|
||||
|
||||
found_messages = False
|
||||
for handle in run.subgraphs:
|
||||
@@ -407,8 +411,9 @@ class TestStreamV2E2ECustom:
|
||||
"""Custom StreamWriter events appear on the main log when a
|
||||
transformer declares the custom mode."""
|
||||
graph = _make_custom_writer_graph()
|
||||
run = graph.stream_v2(
|
||||
run = graph.stream_events(
|
||||
{"value": "x", "items": []},
|
||||
version="v3",
|
||||
transformers=[_CustomPassthroughTransformer],
|
||||
)
|
||||
events = list(run)
|
||||
@@ -420,7 +425,7 @@ class TestStreamV2E2ECustom:
|
||||
def test_custom_events_suppressed_without_transformer(self) -> None:
|
||||
"""Without a custom-mode transformer, custom events don't flow."""
|
||||
graph = _make_custom_writer_graph()
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
run = graph.stream_events({"value": "x", "items": []}, version="v3")
|
||||
events = list(run)
|
||||
custom = [e for e in events if e["method"] == "custom"]
|
||||
assert custom == []
|
||||
@@ -428,8 +433,9 @@ class TestStreamV2E2ECustom:
|
||||
def test_custom_transformer_with_stream_channel(self) -> None:
|
||||
"""A custom transformer with a StreamChannel produces extension data."""
|
||||
graph = _make_nested_graph()
|
||||
run = graph.stream_v2(
|
||||
run = graph.stream_events(
|
||||
{"value": "x", "items": []},
|
||||
version="v3",
|
||||
transformers=[_CounterTransformer],
|
||||
)
|
||||
|
||||
@@ -444,8 +450,9 @@ class TestStreamV2E2ECustom:
|
||||
def test_custom_channel_events_on_main_log(self) -> None:
|
||||
"""StreamChannel auto-forward injects custom:<name> events into the main log."""
|
||||
graph = _make_nested_graph()
|
||||
run = graph.stream_v2(
|
||||
run = graph.stream_events(
|
||||
{"value": "x", "items": []},
|
||||
version="v3",
|
||||
transformers=[_CounterTransformer],
|
||||
)
|
||||
events = list(run)
|
||||
@@ -464,7 +471,7 @@ class TestStreamV2E2EInterrupt:
|
||||
"""Interrupted run has correct flags and interrupt payloads."""
|
||||
graph = _make_interrupt_graph()
|
||||
config: dict[str, Any] = {"configurable": {"thread_id": "int-1"}}
|
||||
run = graph.stream_v2({"value": "x", "items": []}, config)
|
||||
run = graph.stream_events({"value": "x", "items": []}, config, version="v3")
|
||||
|
||||
output = run.output
|
||||
assert output is not None
|
||||
@@ -477,7 +484,7 @@ class TestStreamV2E2EInterrupt:
|
||||
"""Values snapshots captured before the interrupt reflect partial state."""
|
||||
graph = _make_interrupt_graph()
|
||||
config: dict[str, Any] = {"configurable": {"thread_id": "int-2"}}
|
||||
run = graph.stream_v2({"value": "x", "items": []}, config)
|
||||
run = graph.stream_events({"value": "x", "items": []}, config, version="v3")
|
||||
|
||||
snapshots = list(run.values)
|
||||
assert len(snapshots) >= 1
|
||||
@@ -494,14 +501,14 @@ class TestStreamV2E2EErrors:
|
||||
def test_subgraph_error_propagates_through_output(self) -> None:
|
||||
"""Error in a subgraph propagates through output."""
|
||||
graph = _make_error_subgraph()
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
run = graph.stream_events({"value": "x", "items": []}, version="v3")
|
||||
|
||||
with pytest.raises(ValueError, match="subgraph explosion"):
|
||||
_ = run.output
|
||||
|
||||
def test_subgraph_error_propagates_through_raw_events(self) -> None:
|
||||
graph = _make_error_subgraph()
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
run = graph.stream_events({"value": "x", "items": []}, version="v3")
|
||||
|
||||
with pytest.raises(ValueError, match="subgraph explosion"):
|
||||
list(run)
|
||||
@@ -509,7 +516,7 @@ class TestStreamV2E2EErrors:
|
||||
def test_error_subgraph_handle_status(self) -> None:
|
||||
"""Subgraph handle surfaces the error status."""
|
||||
graph = _make_error_subgraph()
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
run = graph.stream_events({"value": "x", "items": []}, version="v3")
|
||||
|
||||
handle = next(iter(run.subgraphs))
|
||||
with pytest.raises(RuntimeError, match="subgraph explosion"):
|
||||
@@ -529,7 +536,7 @@ class TestStreamV2E2EAsync:
|
||||
async def test_all_projections_async(self) -> None:
|
||||
"""Async run exercises values projection."""
|
||||
graph = _make_nested_graph()
|
||||
run = await graph.astream_v2({"value": "x", "items": []})
|
||||
run = await graph.astream_events({"value": "x", "items": []}, version="v3")
|
||||
|
||||
values_snapshots = [s async for s in run.values]
|
||||
assert len(values_snapshots) >= 1
|
||||
@@ -540,7 +547,7 @@ class TestStreamV2E2EAsync:
|
||||
async def test_async_output(self) -> None:
|
||||
"""Async output returns the final state."""
|
||||
graph = _make_nested_graph()
|
||||
run = await graph.astream_v2({"value": "x", "items": []})
|
||||
run = await graph.astream_events({"value": "x", "items": []}, version="v3")
|
||||
output = await run.output()
|
||||
assert output is not None
|
||||
assert output["value"] == "x_routed_processed"
|
||||
@@ -550,7 +557,7 @@ class TestStreamV2E2EAsync:
|
||||
async def test_async_raw_events(self) -> None:
|
||||
"""Async raw event iteration yields well-formed ProtocolEvents."""
|
||||
graph = _make_nested_graph()
|
||||
run = await graph.astream_v2({"value": "x", "items": []})
|
||||
run = await graph.astream_events({"value": "x", "items": []}, version="v3")
|
||||
events = [e async for e in run]
|
||||
assert len(events) > 0
|
||||
seqs = [e["seq"] for e in events]
|
||||
@@ -572,7 +579,7 @@ class TestStreamV2E2EAsync:
|
||||
.compile()
|
||||
)
|
||||
|
||||
run = await graph.astream_v2({"messages": "hi"})
|
||||
run = await graph.astream_events({"messages": "hi"}, version="v3")
|
||||
streams = [s async for s in run.messages]
|
||||
assert len(streams) >= 1
|
||||
for s in streams:
|
||||
@@ -583,7 +590,9 @@ class TestStreamV2E2EAsync:
|
||||
"""Async interrupted run has correct flags."""
|
||||
graph = _make_interrupt_graph()
|
||||
config: dict[str, Any] = {"configurable": {"thread_id": "async-int-1"}}
|
||||
run = await graph.astream_v2({"value": "x", "items": []}, config)
|
||||
run = await graph.astream_events(
|
||||
{"value": "x", "items": []}, config, version="v3"
|
||||
)
|
||||
|
||||
output = await run.output()
|
||||
assert output is not None
|
||||
@@ -593,14 +602,14 @@ class TestStreamV2E2EAsync:
|
||||
async def test_async_error_propagation(self) -> None:
|
||||
"""Async error from subgraph propagates through output."""
|
||||
graph = _make_error_subgraph()
|
||||
run = await graph.astream_v2({"value": "x", "items": []})
|
||||
run = await graph.astream_events({"value": "x", "items": []}, version="v3")
|
||||
with pytest.raises(ValueError, match="subgraph explosion"):
|
||||
await run.output()
|
||||
|
||||
async def test_async_context_manager(self) -> None:
|
||||
"""Async context manager calls abort on exit."""
|
||||
graph = _make_nested_graph()
|
||||
run = await graph.astream_v2({"value": "x", "items": []})
|
||||
run = await graph.astream_events({"value": "x", "items": []}, version="v3")
|
||||
async with run:
|
||||
_ = await anext(aiter(run.values))
|
||||
assert run._exhausted is True
|
||||
@@ -608,7 +617,7 @@ class TestStreamV2E2EAsync:
|
||||
async def test_async_extensions_present(self) -> None:
|
||||
"""Async run has all native extensions."""
|
||||
graph = _make_nested_graph()
|
||||
run = await graph.astream_v2({"value": "x", "items": []})
|
||||
run = await graph.astream_events({"value": "x", "items": []}, version="v3")
|
||||
_ = await run.output()
|
||||
assert "values" in run.extensions
|
||||
assert "messages" in run.extensions
|
||||
@@ -618,8 +627,9 @@ class TestStreamV2E2EAsync:
|
||||
async def test_async_custom_transformer(self) -> None:
|
||||
"""Async custom transformer with StreamChannel works."""
|
||||
graph = _make_nested_graph()
|
||||
run = await graph.astream_v2(
|
||||
run = await graph.astream_events(
|
||||
{"value": "x", "items": []},
|
||||
version="v3",
|
||||
transformers=[_CounterTransformer],
|
||||
)
|
||||
assert "counter" in run.extensions
|
||||
@@ -639,7 +649,7 @@ class TestStreamV2E2ECombined:
|
||||
def test_interleave_all_native_projections(self) -> None:
|
||||
"""Interleave values + messages + lifecycle without deadlock."""
|
||||
graph = _make_nested_graph()
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
run = graph.stream_events({"value": "x", "items": []}, version="v3")
|
||||
|
||||
seen_names: set[str] = set()
|
||||
for name, _item in run.interleave("values", "messages", "lifecycle"):
|
||||
@@ -667,8 +677,9 @@ class TestStreamV2E2ECombined:
|
||||
return True
|
||||
|
||||
graph = _make_nested_graph()
|
||||
run = graph.stream_v2(
|
||||
run = graph.stream_events(
|
||||
{"value": "x", "items": []},
|
||||
version="v3",
|
||||
transformers=[_CounterTransformer, TagTransformer],
|
||||
)
|
||||
|
||||
@@ -722,7 +733,7 @@ class TestStreamV2E2ECombined:
|
||||
.compile()
|
||||
)
|
||||
|
||||
run = outer.stream_v2({"items": []})
|
||||
run = outer.stream_events({"items": []}, version="v3")
|
||||
handles = []
|
||||
for handle in run.subgraphs:
|
||||
list(handle.values)
|
||||
@@ -740,13 +751,17 @@ class TestStreamV2E2ECombined:
|
||||
|
||||
def test_lifecycle_matches_subgraph_handles(self) -> None:
|
||||
"""Lifecycle events and subgraph handles agree on discovered subgraphs."""
|
||||
run1 = _make_nested_graph().stream_v2({"value": "x", "items": []})
|
||||
run1 = _make_nested_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
handle_paths: list[tuple[str, ...]] = []
|
||||
for handle in run1.subgraphs:
|
||||
list(handle.values)
|
||||
handle_paths.append(handle.path)
|
||||
|
||||
run2 = _make_nested_graph().stream_v2({"value": "x", "items": []})
|
||||
run2 = _make_nested_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
lifecycle = list(run2.lifecycle)
|
||||
|
||||
started_ns = [
|
||||
@@ -773,8 +788,9 @@ class TestStreamV2E2ECombined:
|
||||
.compile()
|
||||
)
|
||||
|
||||
run = graph.stream_v2(
|
||||
run = graph.stream_events(
|
||||
{"messages": "hi"},
|
||||
version="v3",
|
||||
transformers=[_CounterTransformer],
|
||||
)
|
||||
|
||||
@@ -0,0 +1,108 @@
|
||||
"""Tests that ``(a)stream_events(version="v3")`` forwards extra kwargs to the
|
||||
underlying ``(a)stream`` call, and rejects the kwargs v3 owns internally.
|
||||
|
||||
Background: prior to this change the v3 dispatcher silently dropped ``**kwargs``
|
||||
on the v3 branch while forwarding them on v1/v2, so callers passing e.g.
|
||||
``context=...`` saw their value disappear with no error. v3 now forwards
|
||||
caller kwargs to the inner ``(a)stream`` call but rejects ``stream_mode`` and
|
||||
``subgraphs`` since v3 owns them (``stream_mode`` is built from the
|
||||
transformer mux; ``subgraphs`` is forced True so nested namespaces flow
|
||||
through scoped muxes).
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import sys
|
||||
from dataclasses import dataclass
|
||||
from typing import Any
|
||||
|
||||
import pytest
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
from langgraph.constants import END, START
|
||||
from langgraph.graph import StateGraph
|
||||
from langgraph.runtime import Runtime
|
||||
|
||||
NEEDS_CONTEXTVARS = pytest.mark.skipif(
|
||||
sys.version_info < (3, 11),
|
||||
reason="Python 3.11+ is required for async contextvars support",
|
||||
)
|
||||
|
||||
|
||||
@dataclass
|
||||
class _Ctx:
|
||||
api_key: str
|
||||
|
||||
|
||||
class _State(TypedDict):
|
||||
message: str
|
||||
|
||||
|
||||
def _build_context_reading_graph():
|
||||
def read_context(state: _State, runtime: Runtime[_Ctx]) -> dict[str, Any]:
|
||||
return {"message": f"api key: {runtime.context.api_key}"}
|
||||
|
||||
builder = StateGraph(state_schema=_State, context_schema=_Ctx)
|
||||
builder.add_node("read_context", read_context)
|
||||
builder.add_edge(START, "read_context")
|
||||
builder.add_edge("read_context", END)
|
||||
return builder.compile()
|
||||
|
||||
|
||||
class TestKwargForwardingSync:
|
||||
def test_context_reaches_node(self) -> None:
|
||||
run = _build_context_reading_graph().stream_events(
|
||||
{"message": "hello"},
|
||||
version="v3",
|
||||
context=_Ctx(api_key="sk_sync"),
|
||||
)
|
||||
assert run.output == {"message": "api key: sk_sync"}
|
||||
|
||||
def test_rejects_stream_mode(self) -> None:
|
||||
graph = _build_context_reading_graph()
|
||||
with pytest.raises(TypeError, match="stream_mode"):
|
||||
graph.stream_events(
|
||||
{"message": "hello"},
|
||||
version="v3",
|
||||
stream_mode=["values"],
|
||||
)
|
||||
|
||||
def test_rejects_subgraphs(self) -> None:
|
||||
graph = _build_context_reading_graph()
|
||||
with pytest.raises(TypeError, match="subgraphs"):
|
||||
graph.stream_events(
|
||||
{"message": "hello"},
|
||||
version="v3",
|
||||
subgraphs=False,
|
||||
)
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
@NEEDS_CONTEXTVARS
|
||||
class TestKwargForwardingAsync:
|
||||
async def test_context_reaches_node(self) -> None:
|
||||
run = await _build_context_reading_graph().astream_events(
|
||||
{"message": "hello"},
|
||||
version="v3",
|
||||
context=_Ctx(api_key="sk_async"),
|
||||
)
|
||||
output = await run.output()
|
||||
assert output == {"message": "api key: sk_async"}
|
||||
|
||||
async def test_rejects_stream_mode(self) -> None:
|
||||
graph = _build_context_reading_graph()
|
||||
with pytest.raises(TypeError, match="stream_mode"):
|
||||
await graph.astream_events(
|
||||
{"message": "hello"},
|
||||
version="v3",
|
||||
stream_mode=["values"],
|
||||
)
|
||||
|
||||
async def test_rejects_subgraphs(self) -> None:
|
||||
graph = _build_context_reading_graph()
|
||||
with pytest.raises(TypeError, match="subgraphs"):
|
||||
await graph.astream_events(
|
||||
{"message": "hello"},
|
||||
version="v3",
|
||||
subgraphs=False,
|
||||
)
|
||||
@@ -6,7 +6,7 @@ on the `lifecycle` channel for both in-process iteration via
|
||||
events. Most tests dispatch synthetic protocol events through a
|
||||
`StreamMux` to keep the inference logic isolated; the end-of-file
|
||||
group exercises the path through real graphs (multi-depth
|
||||
discovery, nested `stream_v2` calls with non-empty `parent_ns`).
|
||||
discovery, nested `stream_events(version="v3")` calls with non-empty `parent_ns`).
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
@@ -324,7 +324,7 @@ def test_tasks_events_suppressed_from_main_log() -> None:
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# End-to-end: real graphs through stream_v2
|
||||
# End-to-end: real graphs through stream_events(version="v3")
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
@@ -358,10 +358,10 @@ def _make_two_level_nested() -> Any:
|
||||
return outer_b.compile()
|
||||
|
||||
|
||||
def test_stream_v2_real_graph_emits_lifecycle_at_each_depth() -> None:
|
||||
def test_stream_events_v3_real_graph_emits_lifecycle_at_each_depth() -> None:
|
||||
"""Outer graph with two nested subgraphs surfaces lifecycle for both."""
|
||||
graph = _make_two_level_nested()
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
run = graph.stream_events({"value": "x", "items": []}, version="v3")
|
||||
|
||||
# Iterating the projection drives the pump and drains synthesized
|
||||
# lifecycle events at the same time.
|
||||
@@ -384,17 +384,17 @@ def test_stream_v2_real_graph_emits_lifecycle_at_each_depth() -> None:
|
||||
)
|
||||
|
||||
|
||||
def test_stream_v2_with_nested_parent_ns_scopes_lifecycle() -> None:
|
||||
"""When `stream_v2` is called with a non-empty checkpoint_ns in config,
|
||||
def test_stream_events_v3_with_nested_parent_ns_scopes_lifecycle() -> None:
|
||||
"""When `stream_events(version="v3")` is called with a non-empty checkpoint_ns in config,
|
||||
`_resolve_parent_ns` returns that namespace and the registered
|
||||
`LifecycleTransformer` is constructed with `scope=parent_ns`. This
|
||||
exercises the path that exists today purely for nested-stream_v2
|
||||
exercises the path that exists today purely for nested-stream_events(version="v3")
|
||||
callers; the test simulates such a caller by injecting a
|
||||
checkpoint_ns into the config.
|
||||
"""
|
||||
graph = _make_two_level_nested()
|
||||
config = {CONF: {CONFIG_KEY_CHECKPOINT_NS: "outer:abc"}}
|
||||
run = graph.stream_v2({"value": "x", "items": []}, config=config)
|
||||
run = graph.stream_events({"value": "x", "items": []}, config=config, version="v3")
|
||||
|
||||
payloads = list(run.lifecycle)
|
||||
# Every emitted lifecycle namespace must extend the caller's scope —
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
"""Tests for MessagesTransformer: protocol event routing, whole-message fallback,
|
||||
legacy v1 chunk filtering, and end-to-end via stream_v2 / astream_v2."""
|
||||
legacy v1 chunk filtering, and end-to-end via stream_events(version="v3") / astream_events(version="v3")."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
@@ -152,7 +152,7 @@ def _lifecycle(
|
||||
def _simple_graph():
|
||||
def call_model(state: MessagesState) -> dict[str, Any]:
|
||||
model = GenericFakeChatModel(messages=iter(["hello world"]))
|
||||
stream = model.stream_v2(state["messages"])
|
||||
stream = model.stream_events(state["messages"], version="v3")
|
||||
return {"messages": stream.output}
|
||||
|
||||
return (
|
||||
@@ -327,7 +327,7 @@ class TestFiltering:
|
||||
|
||||
def test_legacy_v1_chunks_ignored(self) -> None:
|
||||
# v1 AIMessageChunk tuples (from on_llm_new_token) are not streamed
|
||||
# into this projection; callers must migrate to stream_v2.
|
||||
# into this projection; callers must migrate to stream_events(version="v3").
|
||||
t, log = _make_sync_transformer()
|
||||
t.process(_v1_chunk("hello"))
|
||||
t.process(_v1_chunk(" world", finish=True))
|
||||
@@ -477,18 +477,18 @@ class TestViaMux:
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# End-to-end: graph → stream_v2 → run.messages (node calls stream_v2)
|
||||
# End-to-end: graph → stream_events(version="v3") → run.messages (node calls stream_events)
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestEndToEnd:
|
||||
"""stream_v2 path: node calls model.stream_v2() explicitly."""
|
||||
"""stream_events(version="v3") path: node calls model.stream_events() explicitly."""
|
||||
|
||||
def test_node_calling_stream_v2_populates_messages(self) -> None:
|
||||
model = GenericFakeChatModel(messages=iter(["hello world"]))
|
||||
|
||||
def call_model(state: MessagesState) -> dict[str, Any]:
|
||||
stream = model.stream_v2(state["messages"])
|
||||
stream = model.stream_events(state["messages"], version="v3")
|
||||
return {"messages": stream.output}
|
||||
|
||||
graph = (
|
||||
@@ -499,7 +499,7 @@ class TestEndToEnd:
|
||||
.compile()
|
||||
)
|
||||
|
||||
run = graph.stream_v2({"messages": "hi"})
|
||||
run = graph.stream_events({"messages": "hi"}, version="v3")
|
||||
(stream,) = list(run.messages)
|
||||
assert isinstance(stream, ChatModelStream)
|
||||
assert stream.output.text == "hello world"
|
||||
@@ -509,7 +509,7 @@ class TestEndToEnd:
|
||||
model = GenericFakeChatModel(messages=iter(["streamed answer"]))
|
||||
|
||||
def call_model(state: MessagesState) -> dict[str, Any]:
|
||||
stream = model.stream_v2(state["messages"])
|
||||
stream = model.stream_events(state["messages"], version="v3")
|
||||
return {"messages": stream.output}
|
||||
|
||||
graph = (
|
||||
@@ -520,7 +520,7 @@ class TestEndToEnd:
|
||||
.compile()
|
||||
)
|
||||
|
||||
run = graph.stream_v2({"messages": "go"})
|
||||
run = graph.stream_events({"messages": "go"}, version="v3")
|
||||
(stream,) = list(run.messages)
|
||||
assert "".join(stream.text) == "streamed answer"
|
||||
|
||||
@@ -538,7 +538,7 @@ class TestEndToEnd:
|
||||
.compile()
|
||||
)
|
||||
|
||||
run = graph.stream_v2({"messages": "hi"})
|
||||
run = graph.stream_events({"messages": "hi"}, version="v3")
|
||||
(stream,) = list(run.messages)
|
||||
assert stream.output.text == "hardcoded"
|
||||
|
||||
@@ -547,7 +547,7 @@ class TestEndToEnd:
|
||||
model = GenericFakeChatModel(messages=iter(["async answer"]))
|
||||
|
||||
async def call_model(state: MessagesState) -> dict[str, Any]:
|
||||
stream = await model.astream_v2(state["messages"])
|
||||
stream = await model.astream_events(state["messages"], version="v3")
|
||||
return {"messages": await stream}
|
||||
|
||||
graph = (
|
||||
@@ -558,7 +558,7 @@ class TestEndToEnd:
|
||||
.compile()
|
||||
)
|
||||
|
||||
run = await graph.astream_v2({"messages": "hi"})
|
||||
run = await graph.astream_events({"messages": "hi"}, version="v3")
|
||||
streams = [s async for s in run.messages]
|
||||
assert len(streams) == 1
|
||||
assert isinstance(streams[0], AsyncChatModelStream)
|
||||
@@ -572,7 +572,7 @@ class TestEndToEnd:
|
||||
model = GenericFakeChatModel(messages=iter(["hello world"]))
|
||||
|
||||
async def call_model(state: MessagesState) -> dict[str, Any]:
|
||||
stream = await model.astream_v2(state["messages"])
|
||||
stream = await model.astream_events(state["messages"], version="v3")
|
||||
return {"messages": await stream}
|
||||
|
||||
graph = (
|
||||
@@ -583,7 +583,7 @@ class TestEndToEnd:
|
||||
.compile()
|
||||
)
|
||||
|
||||
run = await graph.astream_v2({"messages": "hi"})
|
||||
run = await graph.astream_events({"messages": "hi"}, version="v3")
|
||||
|
||||
async def consume() -> list[str]:
|
||||
collected: list[str] = []
|
||||
@@ -596,12 +596,12 @@ class TestEndToEnd:
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# End-to-end: graph → stream_v2 → run.messages (node calls invoke)
|
||||
# End-to-end: graph → stream_events(version="v3") → run.messages (node calls invoke)
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestEndToEndV2Invoke:
|
||||
"""Auto-routing path: stream_v2 injects CONFIG_KEY_STREAM_MESSAGES_V2,
|
||||
"""Auto-routing path: stream_events(version="v3") injects CONFIG_KEY_STREAM_MESSAGES_V2,
|
||||
causing BaseChatModel to drive the v2 protocol event generator even for
|
||||
model.invoke()."""
|
||||
|
||||
@@ -620,7 +620,7 @@ class TestEndToEndV2Invoke:
|
||||
def test_invoke_populates_messages(self) -> None:
|
||||
run = self._graph(
|
||||
GenericFakeChatModel(messages=iter(["hello world"]))
|
||||
).stream_v2({"messages": "hi"})
|
||||
).stream_events({"messages": "hi"}, version="v3")
|
||||
(stream,) = list(run.messages)
|
||||
assert isinstance(stream, ChatModelStream)
|
||||
assert stream.output.text == "hello world"
|
||||
@@ -629,7 +629,7 @@ class TestEndToEndV2Invoke:
|
||||
"""Iterating the stream yields the full v2 lifecycle, not v1 chunks."""
|
||||
run = self._graph(
|
||||
GenericFakeChatModel(messages=iter(["streamed answer"]))
|
||||
).stream_v2({"messages": "go"})
|
||||
).stream_events({"messages": "go"}, version="v3")
|
||||
(stream,) = list(run.messages)
|
||||
|
||||
events = list(stream)
|
||||
@@ -650,7 +650,7 @@ class TestEndToEndV2Invoke:
|
||||
def test_invoke_text_deltas_iterate(self) -> None:
|
||||
run = self._graph(
|
||||
GenericFakeChatModel(messages=iter(["delta streaming works"]))
|
||||
).stream_v2({"messages": "hi"})
|
||||
).stream_events({"messages": "hi"}, version="v3")
|
||||
(stream,) = list(run.messages)
|
||||
assert "".join(stream.text) == "delta streaming works"
|
||||
|
||||
@@ -674,7 +674,7 @@ class TestEndToEndV2Invoke:
|
||||
.compile()
|
||||
)
|
||||
|
||||
streams = list(graph.stream_v2({"messages": "hi"}).messages)
|
||||
streams = list(graph.stream_events({"messages": "hi"}, version="v3").messages)
|
||||
assert len(streams) == 2
|
||||
assert {s.output.text for s in streams} == {"alpha", "beta"}
|
||||
|
||||
@@ -698,7 +698,7 @@ class TestEndToEndV2Invoke:
|
||||
.compile()
|
||||
)
|
||||
|
||||
run = graph.stream_v2({"messages": "hi"})
|
||||
run = graph.stream_events({"messages": "hi"}, version="v3")
|
||||
streams = list(run.messages)
|
||||
assert len(streams) == 2
|
||||
assert streams[0].node == "streaming_node"
|
||||
@@ -722,7 +722,7 @@ class TestEndToEndV2Invoke:
|
||||
.compile()
|
||||
)
|
||||
|
||||
run = await graph.astream_v2({"messages": "hi"})
|
||||
run = await graph.astream_events({"messages": "hi"}, version="v3")
|
||||
streams = [s async for s in run.messages]
|
||||
assert len(streams) == 1
|
||||
assert isinstance(streams[0], AsyncChatModelStream)
|
||||
@@ -737,7 +737,7 @@ class TestEndToEndV2Invoke:
|
||||
class TestDirectMessagesModeStaysV1:
|
||||
def test_direct_graph_stream_messages_yields_ai_message_chunks(self) -> None:
|
||||
"""graph.stream(stream_mode="messages") must not leak v2 event dicts —
|
||||
the v2 flag is only injected by stream_v2 / astream_v2."""
|
||||
the v2 flag is only injected by stream_events(version="v3") / astream_events(version="v3")."""
|
||||
model = GenericFakeChatModel(messages=iter(["legacy path"]))
|
||||
|
||||
def call_model(state: MessagesState) -> dict[str, Any]:
|
||||
@@ -760,8 +760,10 @@ class TestDirectMessagesModeStaysV1:
|
||||
== "legacy path"
|
||||
)
|
||||
|
||||
def test_nested_graph_stream_messages_stays_v1_under_outer_stream_v2(self) -> None:
|
||||
"""An outer `stream_v2()` run must not flip an inner direct
|
||||
def test_nested_graph_stream_messages_stays_v1_under_outer_stream_events_v3(
|
||||
self,
|
||||
) -> None:
|
||||
"""An outer `stream_events(version="v3")` run must not flip an inner direct
|
||||
`stream_mode="messages"` call onto the v2 event protocol."""
|
||||
model = GenericFakeChatModel(messages=iter(["nested legacy path"]))
|
||||
|
||||
@@ -812,7 +814,7 @@ class TestDirectMessagesModeStaysV1:
|
||||
.compile()
|
||||
)
|
||||
|
||||
result = outer.stream_v2({}).output
|
||||
result = outer.stream_events({}, version="v3").output
|
||||
|
||||
assert result is not None
|
||||
assert result["saw_only_chunks"] is True
|
||||
|
||||
@@ -4,7 +4,7 @@ Subscribes to `tasks` events and produces in-process `SubgraphRunStream`
|
||||
handles backed by mini-muxes (built via `StreamMux._make_child`). The
|
||||
synthetic-event tests isolate the inference / mini-mux wiring; the
|
||||
real-graph tests exercise the end-to-end navigation path through
|
||||
`stream_v2`.
|
||||
`stream_events(version="v3")`.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
@@ -93,7 +93,7 @@ def _tasks_result(
|
||||
|
||||
|
||||
def _native_factories() -> list[Any]:
|
||||
"""Mirror the factory list `Pregel.stream_v2` registers."""
|
||||
"""Mirror the factory list `Pregel.stream_events(version="v3")` registers."""
|
||||
return [
|
||||
ValuesTransformer,
|
||||
MessagesTransformer,
|
||||
@@ -761,10 +761,10 @@ def _make_failing_nested() -> Any:
|
||||
return outer_b.compile()
|
||||
|
||||
|
||||
def test_stream_v2_real_graph_yields_subgraph_handles() -> None:
|
||||
def test_stream_events_v3_real_graph_yields_subgraph_handles() -> None:
|
||||
"""Iterating `run.subgraphs` yields handles for direct-child subgraphs."""
|
||||
graph = _make_two_level_nested()
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
run = graph.stream_events({"value": "x", "items": []}, version="v3")
|
||||
|
||||
handle_paths: list[tuple[str, ...]] = []
|
||||
final_status: dict[tuple[str, ...], str] = {}
|
||||
@@ -780,10 +780,10 @@ def test_stream_v2_real_graph_yields_subgraph_handles() -> None:
|
||||
assert final_status[handle_paths[0]] == "completed"
|
||||
|
||||
|
||||
def test_stream_v2_grandchild_visible_on_child_handle() -> None:
|
||||
def test_stream_events_v3_grandchild_visible_on_child_handle() -> None:
|
||||
"""Drilling into `handle.subgraphs` surfaces nested grandchildren."""
|
||||
graph = _make_two_level_nested()
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
run = graph.stream_events({"value": "x", "items": []}, version="v3")
|
||||
|
||||
grandchild_paths: list[tuple[str, ...]] = []
|
||||
middle_path: tuple[str, ...] | None = None
|
||||
@@ -810,7 +810,7 @@ def test_subgraph_output_stops_at_own_terminal_without_draining_siblings() -> No
|
||||
inside the loop body misses its events.
|
||||
"""
|
||||
graph = _make_two_sibling_subgraphs()
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
run = graph.stream_events({"value": "x", "items": []}, version="v3")
|
||||
|
||||
paths: list[tuple[str, ...]] = []
|
||||
second_values: list[dict[str, Any]] = []
|
||||
@@ -829,7 +829,7 @@ def test_subgraph_output_stops_at_own_terminal_without_draining_siblings() -> No
|
||||
|
||||
def test_aborted_subgraph_handle_does_not_fail_parent_forwarding() -> None:
|
||||
graph = _make_two_sibling_subgraphs()
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
run = graph.stream_events({"value": "x", "items": []}, version="v3")
|
||||
|
||||
seen: list[str | None] = []
|
||||
for handle in run.subgraphs:
|
||||
@@ -847,7 +847,7 @@ def test_aborted_subgraph_handle_does_not_fail_parent_forwarding() -> None:
|
||||
|
||||
def test_failed_subgraph_output_raises_terminal_error() -> None:
|
||||
graph = _make_failing_nested()
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
run = graph.stream_events({"value": "x", "items": []}, version="v3")
|
||||
|
||||
handle = next(iter(run.subgraphs))
|
||||
with pytest.raises(RuntimeError, match="child boom"):
|
||||
|
||||
Generated
+437
-374
@@ -2,7 +2,8 @@ version = 1
|
||||
revision = 3
|
||||
requires-python = ">=3.10"
|
||||
resolution-markers = [
|
||||
"python_full_version >= '3.14'",
|
||||
"python_full_version >= '3.15'",
|
||||
"python_full_version == '3.14.*'",
|
||||
"python_full_version >= '3.11' and python_full_version < '3.14'",
|
||||
"python_full_version < '3.11'",
|
||||
]
|
||||
@@ -953,7 +954,8 @@ name = "ipython"
|
||||
version = "9.9.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
resolution-markers = [
|
||||
"python_full_version >= '3.14'",
|
||||
"python_full_version >= '3.15'",
|
||||
"python_full_version == '3.14.*'",
|
||||
"python_full_version >= '3.11' and python_full_version < '3.14'",
|
||||
]
|
||||
dependencies = [
|
||||
@@ -1287,7 +1289,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "jupyterlab"
|
||||
version = "4.5.2"
|
||||
version = "4.5.7"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "async-lru" },
|
||||
@@ -1305,9 +1307,9 @@ dependencies = [
|
||||
{ name = "tornado" },
|
||||
{ name = "traitlets" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/93/dc/2c8c4ff1aee27ac999ba04c373c5d0d7c6c181b391640d7b916b884d5985/jupyterlab-4.5.2.tar.gz", hash = "sha256:c80a6b9f6dace96a566d590c65ee2785f61e7cd4aac5b4d453dcc7d0d5e069b7", size = 23990371, upload-time = "2026-01-12T12:27:08.493Z" }
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sdist = { url = "https://files.pythonhosted.org/packages/2b/22/8440ec827762146e7cdecf04335bd348795899d29dc6ae82238707353a2c/jupyterlab-4.5.7.tar.gz", hash = "sha256:55a9822c4754da305f41e113452c68383e214dcf96de760146af89ce5d5117b0", size = 23992763, upload-time = "2026-04-29T16:43:51.328Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/a4/78/7e455920f104ef2aa94a4c0d2b40e5b44334ee7057eae1aa1fb97b9631ad/jupyterlab-4.5.2-py3-none-any.whl", hash = "sha256:76466ebcfdb7a9bb7e2fbd6459c0e2c032ccf75be673634a84bee4b3e6b13ab6", size = 12385807, upload-time = "2026-01-12T12:27:03.923Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/3d/aa/537b8f7d80e799af19af35fb3ddfc970b951088a13c57dd9387dcfbb7f61/jupyterlab-4.5.7-py3-none-any.whl", hash = "sha256:fba4cb0e2c44a52859669d8c98b45de029d5e515f8407bf8534d2a8fc5f0964d", size = 12450123, upload-time = "2026-04-29T16:43:46.639Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -1348,7 +1350,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langchain-core"
|
||||
version = "1.3.2"
|
||||
version = "1.4.0a2"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "jsonpatch" },
|
||||
@@ -1361,26 +1363,26 @@ dependencies = [
|
||||
{ name = "typing-extensions" },
|
||||
{ name = "uuid-utils" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/a8/03/7219502e8ca728d65eb44d7a3eb60239230742a70dbfc9241b9bfd61c4ab/langchain_core-1.3.2.tar.gz", hash = "sha256:fd7a50b2f28ba561fd9d7f5d2760bc9e06cf00cdf820a3ccafe88a94ffa8d5b7", size = 911813, upload-time = "2026-04-24T15:49:23.699Z" }
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sdist = { url = "https://files.pythonhosted.org/packages/3c/93/68bafa047f8e1770d0cf0f61d6c70889f1dec42ef6bd263540d916c421b9/langchain_core-1.4.0a2.tar.gz", hash = "sha256:b723c7961b615c7f2180ce2bcf352fdad8247bc51a60adecd3d97088235c120d", size = 916486, upload-time = "2026-05-01T15:02:19.029Z" }
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||||
wheels = [
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||||
{ url = "https://files.pythonhosted.org/packages/7d/d5/8fa4431007cbb7cfed7590f4d6a5dea3ad724f4174d248f6642ef5ce7d05/langchain_core-1.3.2-py3-none-any.whl", hash = "sha256:d44a66127f9f8db735bdfd0ab9661bccb47a97113cfd3f2d89c74864422b7274", size = 542390, upload-time = "2026-04-24T15:49:21.991Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/4e/8e/933e0ba7ba0430ce264e36b178d581b255239ad45093872483142d93478c/langchain_core-1.4.0a2-py3-none-any.whl", hash = "sha256:a5c689f8404357df797120c012da7704144a953b2ae18f258df263301e7badd5", size = 546297, upload-time = "2026-05-01T15:02:17.731Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "langchain-protocol"
|
||||
version = "0.0.12"
|
||||
version = "0.0.14"
|
||||
source = { registry = "https://pypi.org/simple" }
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||||
dependencies = [
|
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{ name = "typing-extensions" },
|
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||||
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" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/95/82/3431e3061c917439589fa88a6b23c9bc0e154cba0f05d2e895a68c76ff74/langchain_protocol-0.0.12-py3-none-any.whl", hash = "sha256:402b61f42d4139692528cf37226c367bb6efc8ff8165b29380accb0abfece7b2", size = 6639, upload-time = "2026-04-25T01:05:00.487Z" },
|
||||
{ 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" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "langgraph"
|
||||
version = "1.2.0a3"
|
||||
version = "1.2.0a7"
|
||||
source = { editable = "." }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
@@ -1452,7 +1454,7 @@ test = [
|
||||
|
||||
[package.metadata]
|
||||
requires-dist = [
|
||||
{ name = "langchain-core", specifier = ">=1.3.2,<2" },
|
||||
{ name = "langchain-core", specifier = ">=1.4.0a2,<2" },
|
||||
{ name = "langgraph-checkpoint", editable = "../checkpoint" },
|
||||
{ name = "langgraph-prebuilt", editable = "../prebuilt" },
|
||||
{ name = "langgraph-sdk", editable = "../sdk-py" },
|
||||
@@ -1561,7 +1563,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-checkpoint"
|
||||
version = "4.1.0a3"
|
||||
version = "4.1.0a4"
|
||||
source = { editable = "../checkpoint" }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
@@ -1609,7 +1611,7 @@ test = [
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-checkpoint-postgres"
|
||||
version = "3.1.0a3"
|
||||
version = "3.1.0a4"
|
||||
source = { editable = "../checkpoint-postgres" }
|
||||
dependencies = [
|
||||
{ name = "langgraph-checkpoint" },
|
||||
@@ -1755,7 +1757,7 @@ test = [
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-prebuilt"
|
||||
version = "1.0.12"
|
||||
version = "1.1.0a2"
|
||||
source = { editable = "../prebuilt" }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
@@ -1901,75 +1903,87 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "librt"
|
||||
version = "0.7.8"
|
||||
version = "0.9.0"
|
||||
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||||
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||||
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||||
wheels = [
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||||
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{ url = "https://files.pythonhosted.org/packages/e7/f7/5a484afce0f48dd8083208b42e4911f290a82c7b52458ef2927e4d421a45/xxhash-3.7.0-pp311-pypy311_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a169a036bed0995e090d1493b283cc2cc8a6f5046821086b843abefff80643bc", size = 32534, upload-time = "2026-04-25T11:10:29.01Z" },
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{ url = "https://files.pythonhosted.org/packages/0f/5f/4acfcd490db9780cf36c58534d828003c564cde5350220a1c783c4d10776/xxhash-3.7.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:ec101643395d7f21405b640f728f6f627e6986557027d740f2f9b220955edafe", size = 31552, upload-time = "2026-04-25T11:10:30.727Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
||||
@@ -77,10 +77,16 @@ class ToolCallTransformer(StreamTransformer):
|
||||
return stream
|
||||
|
||||
def process(self, event: ProtocolEvent) -> bool:
|
||||
# Namespace filtering is handled by the mux via `scope_exact`.
|
||||
if event["method"] != "tools":
|
||||
return True
|
||||
|
||||
# Only project events emitted at this transformer's scope. Subgraph
|
||||
# events still flow through the parent's mux (the parent's main
|
||||
# event log keeps them) but they belong to the child mini-mux's
|
||||
# `tool_calls` projection, not the parent's.
|
||||
if tuple(event["params"]["namespace"]) != self.scope:
|
||||
return True
|
||||
|
||||
data = event["params"]["data"]
|
||||
tool_call_id = data.get("tool_call_id")
|
||||
if tool_call_id is None:
|
||||
|
||||
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
|
||||
|
||||
[project]
|
||||
name = "langgraph-prebuilt"
|
||||
version = "1.0.12"
|
||||
version = "1.1.0a2"
|
||||
description = "Library with high-level APIs for creating and executing LangGraph agents and tools."
|
||||
authors = []
|
||||
requires-python = ">=3.10"
|
||||
|
||||
@@ -147,7 +147,10 @@ class TestToolCallTransformerUnit:
|
||||
mux.push(_tool_event("tool-output-delta", "a", delta="A1"))
|
||||
mux.push(_tool_event("tool-output-delta", "b", delta="B1"))
|
||||
mux.push(_tool_event("tool-output-delta", "a", delta="A2"))
|
||||
assert _unstamped(transformer._active["a"]._output_deltas._items) == ["A1", "A2"]
|
||||
assert _unstamped(transformer._active["a"]._output_deltas._items) == [
|
||||
"A1",
|
||||
"A2",
|
||||
]
|
||||
assert _unstamped(transformer._active["b"]._output_deltas._items) == ["B1"]
|
||||
|
||||
def test_tools_event_passes_through_main_log(self) -> None:
|
||||
@@ -157,6 +160,76 @@ class TestToolCallTransformerUnit:
|
||||
kept = [e for e in _unstamped(mux._events._items) if e["method"] == "tools"]
|
||||
assert len(kept) == 1
|
||||
|
||||
def test_out_of_scope_event_skipped(self) -> None:
|
||||
"""Subgraph-scoped `tools` events must not project into a parent
|
||||
transformer's `tool_calls` log.
|
||||
|
||||
The parent's main event log keeps the event (so wire consumers
|
||||
still see it) but the parent's `ToolCallTransformer` only owns
|
||||
the projection at its own scope. Per-scope `ToolCallTransformer`
|
||||
instances on child mini-muxes are responsible for projecting
|
||||
events at their own depth.
|
||||
"""
|
||||
# Root-scope transformer (`scope == ()`).
|
||||
mux, transformer = _mux()
|
||||
_subscribe(mux._events)
|
||||
mux.push(
|
||||
_tool_event(
|
||||
"tool-started",
|
||||
"tc1",
|
||||
tool_name="inner_echo",
|
||||
namespace=["child:abc"],
|
||||
)
|
||||
)
|
||||
# No `ToolCallStream` was projected into the root's log.
|
||||
assert _unstamped(transformer._log._items) == []
|
||||
assert "tc1" not in transformer._active
|
||||
# The event still passes through the main event log so consumers
|
||||
# of the raw `tools` channel see it untouched.
|
||||
kept = [e for e in _unstamped(mux._events._items) if e["method"] == "tools"]
|
||||
assert len(kept) == 1
|
||||
|
||||
def test_in_scope_event_projected_when_scope_set(self) -> None:
|
||||
"""A non-root transformer projects only events at its own scope."""
|
||||
scope: tuple[str, ...] = ("child:abc",)
|
||||
transformer = ToolCallTransformer(scope=scope)
|
||||
mux = StreamMux(
|
||||
[ValuesTransformer(), MessagesTransformer(), transformer],
|
||||
scope=scope,
|
||||
is_async=False,
|
||||
)
|
||||
_subscribe(transformer._log)
|
||||
# Event at this scope: projected.
|
||||
mux.push(
|
||||
_tool_event(
|
||||
"tool-started",
|
||||
"tc1",
|
||||
tool_name="echo",
|
||||
namespace=list(scope),
|
||||
)
|
||||
)
|
||||
assert len(_unstamped(transformer._log._items)) == 1
|
||||
# Event at a deeper scope: ignored.
|
||||
mux.push(
|
||||
_tool_event(
|
||||
"tool-started",
|
||||
"tc2",
|
||||
tool_name="grandchild",
|
||||
namespace=[*scope, "grand:xyz"],
|
||||
)
|
||||
)
|
||||
assert len(_unstamped(transformer._log._items)) == 1
|
||||
# Event at root (above this scope): ignored.
|
||||
mux.push(
|
||||
_tool_event(
|
||||
"tool-started",
|
||||
"tc3",
|
||||
tool_name="root_tool",
|
||||
namespace=[],
|
||||
)
|
||||
)
|
||||
assert len(_unstamped(transformer._log._items)) == 1
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# End-to-end tests with a real graph
|
||||
@@ -199,7 +272,9 @@ class TestToolCallTransformerEndToEnd:
|
||||
}
|
||||
|
||||
graph = _build_graph(caller, [streamer])
|
||||
run = graph.stream_v2({"messages": []}, transformers=[ToolCallTransformer])
|
||||
run = graph.stream_events(
|
||||
{"messages": []}, transformers=[ToolCallTransformer], version="v3"
|
||||
)
|
||||
|
||||
tool_calls: list[ToolCallStream] = []
|
||||
for tc in run.tool_calls:
|
||||
@@ -235,11 +310,13 @@ class TestToolCallTransformerEndToEnd:
|
||||
# Without ToolCallTransformer, no tool_calls projection is
|
||||
# exposed and no `tools` events flow through (required_stream_modes
|
||||
# omits it).
|
||||
run_no_tc = graph.stream_v2({"messages": []})
|
||||
run_no_tc = graph.stream_events({"messages": []}, version="v3")
|
||||
assert "tool_calls" not in run_no_tc._mux.extensions # type: ignore[attr-defined]
|
||||
|
||||
# With ToolCallTransformer, the projection is present.
|
||||
run = graph.stream_v2({"messages": []}, transformers=[ToolCallTransformer])
|
||||
run = graph.stream_events(
|
||||
{"messages": []}, transformers=[ToolCallTransformer], version="v3"
|
||||
)
|
||||
assert "tool_calls" in run._mux.extensions # type: ignore[attr-defined]
|
||||
# Drain so the run closes cleanly.
|
||||
list(run.tool_calls)
|
||||
@@ -266,8 +343,8 @@ class TestToolCallTransformerEndToEnd:
|
||||
}
|
||||
|
||||
graph = _build_graph(caller, [astreamer])
|
||||
run = await graph.astream_v2(
|
||||
{"messages": []}, transformers=[ToolCallTransformer]
|
||||
run = await graph.astream_events(
|
||||
{"messages": []}, version="v3", transformers=[ToolCallTransformer]
|
||||
)
|
||||
|
||||
collected: list[ToolCallStream] = []
|
||||
@@ -296,7 +373,9 @@ class TestToolCallTransformerEndToEnd:
|
||||
}
|
||||
|
||||
graph = _build_graph(caller, [boom])
|
||||
run = graph.stream_v2({"messages": []}, transformers=[ToolCallTransformer])
|
||||
run = graph.stream_events(
|
||||
{"messages": []}, transformers=[ToolCallTransformer], version="v3"
|
||||
)
|
||||
|
||||
collected: list[ToolCallStream] = []
|
||||
with pytest.raises(ValueError, match="nope"):
|
||||
|
||||
Generated
+11
-11
@@ -249,7 +249,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langchain-core"
|
||||
version = "1.3.2"
|
||||
version = "1.4.0a2"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "jsonpatch" },
|
||||
@@ -262,26 +262,26 @@ dependencies = [
|
||||
{ name = "typing-extensions" },
|
||||
{ name = "uuid-utils" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/a8/03/7219502e8ca728d65eb44d7a3eb60239230742a70dbfc9241b9bfd61c4ab/langchain_core-1.3.2.tar.gz", hash = "sha256:fd7a50b2f28ba561fd9d7f5d2760bc9e06cf00cdf820a3ccafe88a94ffa8d5b7", size = 911813, upload-time = "2026-04-24T15:49:23.699Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/3c/93/68bafa047f8e1770d0cf0f61d6c70889f1dec42ef6bd263540d916c421b9/langchain_core-1.4.0a2.tar.gz", hash = "sha256:b723c7961b615c7f2180ce2bcf352fdad8247bc51a60adecd3d97088235c120d", size = 916486, upload-time = "2026-05-01T15:02:19.029Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/7d/d5/8fa4431007cbb7cfed7590f4d6a5dea3ad724f4174d248f6642ef5ce7d05/langchain_core-1.3.2-py3-none-any.whl", hash = "sha256:d44a66127f9f8db735bdfd0ab9661bccb47a97113cfd3f2d89c74864422b7274", size = 542390, upload-time = "2026-04-24T15:49:21.991Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/4e/8e/933e0ba7ba0430ce264e36b178d581b255239ad45093872483142d93478c/langchain_core-1.4.0a2-py3-none-any.whl", hash = "sha256:a5c689f8404357df797120c012da7704144a953b2ae18f258df263301e7badd5", size = 546297, upload-time = "2026-05-01T15:02:17.731Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "langchain-protocol"
|
||||
version = "0.0.12"
|
||||
version = "0.0.14"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "typing-extensions" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/5c/51/1157009b6f94e6e58be58fa8b620187d657909a8b36a6bf5b0c52a2711f6/langchain_protocol-0.0.12.tar.gz", hash = "sha256:5e14c434290a705c9510fdb1a83ecf7561a5e6e0dfd053930ade80dba069269f", size = 6408, upload-time = "2026-04-25T01:05:01.489Z" }
|
||||
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" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/95/82/3431e3061c917439589fa88a6b23c9bc0e154cba0f05d2e895a68c76ff74/langchain_protocol-0.0.12-py3-none-any.whl", hash = "sha256:402b61f42d4139692528cf37226c367bb6efc8ff8165b29380accb0abfece7b2", size = 6639, upload-time = "2026-04-25T01:05:00.487Z" },
|
||||
{ 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" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "langgraph"
|
||||
version = "1.2.0a3"
|
||||
version = "1.2.0a7"
|
||||
source = { editable = "../langgraph" }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
@@ -294,7 +294,7 @@ dependencies = [
|
||||
|
||||
[package.metadata]
|
||||
requires-dist = [
|
||||
{ name = "langchain-core", specifier = ">=1.3.2,<2" },
|
||||
{ name = "langchain-core", specifier = ">=1.4.0a2,<2" },
|
||||
{ name = "langgraph-checkpoint", editable = "../checkpoint" },
|
||||
{ name = "langgraph-prebuilt", editable = "." },
|
||||
{ name = "langgraph-sdk", editable = "../sdk-py" },
|
||||
@@ -365,7 +365,7 @@ test = [
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-checkpoint"
|
||||
version = "4.1.0a3"
|
||||
version = "4.1.0a4"
|
||||
source = { editable = "../checkpoint" }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
@@ -413,7 +413,7 @@ test = [
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-checkpoint-postgres"
|
||||
version = "3.1.0a3"
|
||||
version = "3.1.0a4"
|
||||
source = { editable = "../checkpoint-postgres" }
|
||||
dependencies = [
|
||||
{ name = "langgraph-checkpoint" },
|
||||
@@ -503,7 +503,7 @@ test = [
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-prebuilt"
|
||||
version = "1.0.12"
|
||||
version = "1.1.0a2"
|
||||
source = { editable = "." }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
|
||||
Generated
+10
-10
@@ -266,7 +266,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langchain-core"
|
||||
version = "1.3.2"
|
||||
version = "1.4.0a2"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "jsonpatch" },
|
||||
@@ -279,26 +279,26 @@ dependencies = [
|
||||
{ name = "typing-extensions" },
|
||||
{ name = "uuid-utils" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/a8/03/7219502e8ca728d65eb44d7a3eb60239230742a70dbfc9241b9bfd61c4ab/langchain_core-1.3.2.tar.gz", hash = "sha256:fd7a50b2f28ba561fd9d7f5d2760bc9e06cf00cdf820a3ccafe88a94ffa8d5b7", size = 911813, upload-time = "2026-04-24T15:49:23.699Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/3c/93/68bafa047f8e1770d0cf0f61d6c70889f1dec42ef6bd263540d916c421b9/langchain_core-1.4.0a2.tar.gz", hash = "sha256:b723c7961b615c7f2180ce2bcf352fdad8247bc51a60adecd3d97088235c120d", size = 916486, upload-time = "2026-05-01T15:02:19.029Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/7d/d5/8fa4431007cbb7cfed7590f4d6a5dea3ad724f4174d248f6642ef5ce7d05/langchain_core-1.3.2-py3-none-any.whl", hash = "sha256:d44a66127f9f8db735bdfd0ab9661bccb47a97113cfd3f2d89c74864422b7274", size = 542390, upload-time = "2026-04-24T15:49:21.991Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/4e/8e/933e0ba7ba0430ce264e36b178d581b255239ad45093872483142d93478c/langchain_core-1.4.0a2-py3-none-any.whl", hash = "sha256:a5c689f8404357df797120c012da7704144a953b2ae18f258df263301e7badd5", size = 546297, upload-time = "2026-05-01T15:02:17.731Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "langchain-protocol"
|
||||
version = "0.0.12"
|
||||
version = "0.0.14"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "typing-extensions" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/5c/51/1157009b6f94e6e58be58fa8b620187d657909a8b36a6bf5b0c52a2711f6/langchain_protocol-0.0.12.tar.gz", hash = "sha256:5e14c434290a705c9510fdb1a83ecf7561a5e6e0dfd053930ade80dba069269f", size = 6408, upload-time = "2026-04-25T01:05:01.489Z" }
|
||||
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" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/95/82/3431e3061c917439589fa88a6b23c9bc0e154cba0f05d2e895a68c76ff74/langchain_protocol-0.0.12-py3-none-any.whl", hash = "sha256:402b61f42d4139692528cf37226c367bb6efc8ff8165b29380accb0abfece7b2", size = 6639, upload-time = "2026-04-25T01:05:00.487Z" },
|
||||
{ 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" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "langgraph"
|
||||
version = "1.2.0a3"
|
||||
version = "1.2.0a7"
|
||||
source = { editable = "../langgraph" }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
@@ -311,7 +311,7 @@ dependencies = [
|
||||
|
||||
[package.metadata]
|
||||
requires-dist = [
|
||||
{ name = "langchain-core", specifier = ">=1.3.2,<2" },
|
||||
{ name = "langchain-core", specifier = ">=1.4.0a2,<2" },
|
||||
{ name = "langgraph-checkpoint", editable = "../checkpoint" },
|
||||
{ name = "langgraph-prebuilt", editable = "../prebuilt" },
|
||||
{ name = "langgraph-sdk", editable = "." },
|
||||
@@ -382,7 +382,7 @@ test = [
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-checkpoint"
|
||||
version = "4.1.0a3"
|
||||
version = "4.1.0a4"
|
||||
source = { editable = "../checkpoint" }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
@@ -430,7 +430,7 @@ test = [
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-prebuilt"
|
||||
version = "1.0.12"
|
||||
version = "1.1.0a2"
|
||||
source = { editable = "../prebuilt" }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
|
||||
Reference in New Issue
Block a user