mirror of
https://github.com/langchain-ai/langgraph.git
synced 2026-09-06 17:57:49 +02:00
Compare commits
@@ -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@4907a6ddec9925e35a0a9e82d7399ccc52663121 # v4
|
||||
uses: docker/login-action@b45d80f862d83dbcd57f89517bcf500b2ab88fb2 # 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@4907a6ddec9925e35a0a9e82d7399ccc52663121 # v4
|
||||
uses: docker/login-action@b45d80f862d83dbcd57f89517bcf500b2ab88fb2 # 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@cef221092ed1bacb1cc03d23a2d87d1d172e277b # release/v1
|
||||
uses: pypa/gh-action-pypi-publish@ed0c53931b1dc9bd32cbe73a98c7f6766f8a527e # release/v1
|
||||
with:
|
||||
packages-dir: ${{ inputs.working-directory }}/dist/
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||||
verbose: true
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||||
|
||||
@@ -57,7 +57,7 @@ jobs:
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||||
echo EOF
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||||
} >> "$GITHUB_OUTPUT"
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||||
- name: Annotation
|
||||
uses: actions/github-script@v9
|
||||
uses: actions/github-script@v8
|
||||
with:
|
||||
script: |
|
||||
const file = JSON.parse(`${{ steps.files.outputs.added_modified_renamed }}`)[0]
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||||
|
||||
@@ -40,7 +40,7 @@ jobs:
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||||
uses: actions/configure-pages@v6
|
||||
|
||||
- name: Upload artifact
|
||||
uses: actions/upload-pages-artifact@v5
|
||||
uses: actions/upload-pages-artifact@v4
|
||||
with:
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||||
path: 'docs/_site'
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||||
|
||||
|
||||
@@ -276,7 +276,7 @@ jobs:
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||||
path: ${{ inputs.working-directory }}/dist/
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||||
|
||||
- name: Publish package distributions to PyPI
|
||||
uses: pypa/gh-action-pypi-publish@cef221092ed1bacb1cc03d23a2d87d1d172e277b # release/v1
|
||||
uses: pypa/gh-action-pypi-publish@ed0c53931b1dc9bd32cbe73a98c7f6766f8a527e # release/v1
|
||||
with:
|
||||
packages-dir: ${{ inputs.working-directory }}/dist/
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||||
verbose: true
|
||||
|
||||
@@ -26,7 +26,7 @@ jobs:
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||||
|
||||
steps:
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||||
- name: Find and reopen matching PRs
|
||||
uses: actions/github-script@v9
|
||||
uses: actions/github-script@v8
|
||||
with:
|
||||
script: |
|
||||
const { owner, repo } = context.repo;
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||||
|
||||
@@ -50,7 +50,7 @@ jobs:
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||||
steps:
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||||
- name: Check for issue link and assignee
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||||
id: check-link
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||||
uses: actions/github-script@v9
|
||||
uses: actions/github-script@v8
|
||||
with:
|
||||
script: |
|
||||
const { owner, repo } = context.repo;
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||||
@@ -283,7 +283,7 @@ jobs:
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||||
if: >-
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||||
env.ENFORCE_ISSUE_LINK == 'true' &&
|
||||
(steps.check-link.outputs.has-link != 'true' || steps.check-link.outputs.is-assigned != 'true')
|
||||
uses: actions/github-script@v9
|
||||
uses: actions/github-script@v8
|
||||
with:
|
||||
script: |
|
||||
const { owner, repo } = context.repo;
|
||||
@@ -312,7 +312,7 @@ jobs:
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||||
if: >-
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||||
env.ENFORCE_ISSUE_LINK == 'true' &&
|
||||
steps.check-link.outputs.has-link == 'true' && steps.check-link.outputs.is-assigned == 'true'
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||||
uses: actions/github-script@v9
|
||||
uses: actions/github-script@v8
|
||||
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@v9
|
||||
uses: actions/github-script@v8
|
||||
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@v9
|
||||
uses: actions/github-script@v8
|
||||
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@v9
|
||||
uses: actions/github-script@v8
|
||||
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@v9
|
||||
uses: actions/github-script@v8
|
||||
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@v9
|
||||
uses: actions/github-script@v8
|
||||
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@v9
|
||||
uses: actions/github-script@v8
|
||||
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@v9
|
||||
uses: actions/github-script@v8
|
||||
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@v9
|
||||
uses: actions/github-script@v8
|
||||
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@v9
|
||||
uses: actions/github-script@v8
|
||||
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@v9
|
||||
uses: actions/github-script@v8
|
||||
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@5f6978faf089d4d20b00c7766989d076bb2fc7f1 # v8
|
||||
uses: peter-evans/create-pull-request@c0f553fe549906ede9cf27b5156039d195d2ece0 # v8
|
||||
with:
|
||||
token: ${{ secrets.GITHUB_TOKEN }}
|
||||
commit-message: "chore(deps): upgrade dependencies with `uv lock --upgrade`"
|
||||
|
||||
@@ -27,10 +27,10 @@ Trusted by companies shaping the future of agents – including Klarna, Replit,
|
||||
pip install -U langgraph
|
||||
```
|
||||
|
||||
> [!TIP]
|
||||
> If you're looking to quickly build agents, check out **[Deep Agents](https://docs.langchain.com/oss/python/deepagents/overview)** — a higher-level package built on LangGraph for agents that can plan, use subagents, and leverage file systems for complex tasks.
|
||||
If you're looking to quickly build agents with LangChain's `create_agent` (built on LangGraph), check out the [LangChain Agents documentation](https://docs.langchain.com/oss/python/langchain/agents).
|
||||
|
||||
For an equivalent JS/TS library, check out [LangGraph.js](https://github.com/langchain-ai/langgraphjs) and the [JS docs](https://docs.langchain.com/oss/javascript/langgraph/overview).
|
||||
> [!NOTE]
|
||||
> Looking for the JS/TS library? Check out [LangGraph.js](https://github.com/langchain-ai/langgraphjs) and the [JS docs](https://docs.langchain.com/oss/javascript/langgraph/overview).
|
||||
|
||||
## Why use LangGraph?
|
||||
|
||||
@@ -51,7 +51,7 @@ While LangGraph can be used standalone, it also integrates seamlessly with any L
|
||||
|
||||
To improve your LLM application development, pair LangGraph with:
|
||||
|
||||
- [Deep Agents](https://docs.langchain.com/oss/python/deepagents/overview) – Build agents that can plan, use subagents, and leverage file systems for complex tasks.
|
||||
- [Deep Agents](https://github.com/langchain-ai/deepagents) *(new!)* – Build agents that can plan, use subagents, and leverage file systems for complex tasks.
|
||||
- [LangChain](https://docs.langchain.com/oss/python/langchain/overview) – Provides integrations and composable components to streamline LLM application development.
|
||||
- [LangSmith](https://www.langchain.com/langsmith) – Helpful for agent evals and observability. Debug poor-performing LLM app runs, evaluate agent trajectories, gain visibility in production, and improve performance over time.
|
||||
- [LangSmith Deployment](https://docs.langchain.com/langsmith/deployments) – Deploy and scale agents effortlessly with a purpose-built deployment platform for long-running, stateful workflows. Discover, reuse, configure, and share agents across teams – and iterate quickly with visual prototyping in [LangSmith Studio](https://docs.langchain.com/langsmith/studio).
|
||||
|
||||
Generated
+40
-40
@@ -250,15 +250,15 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-checkpoint"
|
||||
version = "4.0.3"
|
||||
version = "4.0.1"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
{ name = "ormsgpack" },
|
||||
]
|
||||
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" }
|
||||
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" }
|
||||
wheels = [
|
||||
{ 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" },
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||||
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|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -746,27 +746,27 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "ruff"
|
||||
version = "0.15.12"
|
||||
version = "0.15.8"
|
||||
source = { registry = "https://pypi.org/simple" }
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||||
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||||
wheels = [
|
||||
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{ url = "https://files.pythonhosted.org/packages/32/38/188c14a57f52160407ce62c6abb556011718fd0bcbe1dca690529ce84c46/ty-0.0.27-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:924a8849afd500d260bf5b7296165a05b7424fbb6b19113f30f3b999d682873f", size = 10986624, upload-time = "2026-03-31T19:07:13.066Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/9f/f1/667a71393f47d2cd6ba9ed07541b8df3eb63aab1f2ee658e77d91b8362fa/ty-0.0.27-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:d8270026c07e7423a1b3a3fd065b46ed1478748f0662518b523b57744f3fa025", size = 10366721, upload-time = "2026-03-31T19:07:00.131Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/8b/aa/8edafe41be898bda774249abc5be6edd733e53fb1777d59ea9331e38537d/ty-0.0.27-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:e26e9735d3bdfd95d881111ad1cf570eab8188d8c3be36d6bcaad044d38984d8", size = 10412239, upload-time = "2026-03-31T19:07:05.297Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/53/ff/8bafaed4a18d38264f46bdfc427de7ea2974cf9064e4e0bdb1b6e6c724e3/ty-0.0.27-py3-none-musllinux_1_2_i686.whl", hash = "sha256:7c09cc9a699810609acc0090af8d0db68adaee6e60a7c3e05ab80cc954a83db7", size = 10573507, upload-time = "2026-03-31T19:06:57.064Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/16/2e/63a8284a2fefd08ab56ecbad0fde7dd4b2d4045a31cf24c1d1fcd9643227/ty-0.0.27-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:2d3e02853bb037221a456e034b1898aaa573e6374fbb53884e33cb7513ccb85a", size = 11090233, upload-time = "2026-03-31T19:07:34.139Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/14/d3/d6fa1cafdfa2b34dbfa304fc6833af8e1669fc34e24d214fa76d2a2e5a25/ty-0.0.27-py3-none-win32.whl", hash = "sha256:34e7377f2047c14dbbb7bf5322e84114db7a5f2cb470db6bee63f8f3550cfc1e", size = 9984415, upload-time = "2026-03-31T19:07:07.98Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/85/e6/dd4e27da9632b3472d5711ca49dbd3709dbd3e8c73f3af6db9c254235ca9/ty-0.0.27-py3-none-win_amd64.whl", hash = "sha256:3f7e4145aad8b815ed69b324c93b5b773eb864dda366ca16ab8693ff88ce6f36", size = 10961535, upload-time = "2026-03-31T19:07:10.566Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/0e/1a/824b3496d66852ed7d5d68d9787711131552b68dce8835ce9410db32e618/ty-0.0.27-py3-none-win_arm64.whl", hash = "sha256:95bf8d01eb96bb2ba3ffc39faff19da595176448e80871a7b362f4d2de58476c", size = 10376689, upload-time = "2026-03-31T19:07:25.732Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
||||
@@ -2,23 +2,23 @@ from __future__ import annotations
|
||||
|
||||
import threading
|
||||
from collections import defaultdict
|
||||
from collections.abc import Iterator, Mapping, Sequence
|
||||
from collections.abc import Iterator, 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,
|
||||
DeltaChannelHistory,
|
||||
_ChannelWritesHistory,
|
||||
get_checkpoint_id,
|
||||
get_serializable_checkpoint_metadata,
|
||||
)
|
||||
from langgraph.checkpoint.serde.base import SerializerProtocol
|
||||
from langgraph.checkpoint.serde.types import _DeltaSnapshot
|
||||
from psycopg import Capabilities, Connection, Cursor, Pipeline
|
||||
from psycopg.rows import DictRow, dict_row
|
||||
from psycopg.types.json import Jsonb
|
||||
@@ -26,11 +26,9 @@ from psycopg_pool import ConnectionPool
|
||||
|
||||
from langgraph.checkpoint.postgres import _internal
|
||||
from langgraph.checkpoint.postgres.base import (
|
||||
_DELTA_PAGE_SIZE,
|
||||
SELECT_DELTA_COMBINED_SQL,
|
||||
BasePostgresSaver,
|
||||
_build_delta_stage1_sql,
|
||||
_build_delta_stage2_sql,
|
||||
_DeltaStage2Row,
|
||||
_DeltaCombinedRow,
|
||||
)
|
||||
from langgraph.checkpoint.postgres.shallow import ShallowPostgresSaver
|
||||
|
||||
@@ -310,10 +308,7 @@ class PostgresSaver(BasePostgresSaver):
|
||||
# others are stored in blobs table
|
||||
blob_values = {}
|
||||
for k, v in checkpoint["channel_values"].items():
|
||||
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)):
|
||||
if v is None or isinstance(v, (str, int, float, bool)):
|
||||
pass
|
||||
else:
|
||||
blob_values[k] = copy["channel_values"].pop(k)
|
||||
@@ -441,112 +436,46 @@ class PostgresSaver(BasePostgresSaver):
|
||||
with conn.cursor(binary=True, row_factory=dict_row) as cur:
|
||||
yield cur
|
||||
|
||||
def get_delta_channel_history(
|
||||
self, *, config: RunnableConfig, channels: Sequence[str]
|
||||
) -> Mapping[str, DeltaChannelHistory]:
|
||||
"""Fast-path override of `BaseCheckpointSaver.get_delta_channel_history`.
|
||||
def _get_channel_writes_history(
|
||||
self, config: RunnableConfig, channel: str
|
||||
) -> _ChannelWritesHistory:
|
||||
"""Fast-path override of `BaseCheckpointSaver._get_channel_writes_history`.
|
||||
|
||||
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.
|
||||
One combined UNION ALL query (`SELECT_DELTA_COMBINED_SQL`) fetches rows
|
||||
from `checkpoints`, `checkpoint_writes`, and `checkpoint_blobs` in a
|
||||
single roundtrip; the ancestor walk runs in Python.
|
||||
"""
|
||||
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:
|
||||
# Caller didn't specify a target — resolve to the latest
|
||||
# checkpoint on the thread. `get_tuple` without `checkpoint_id`
|
||||
# returns the newest; its config carries the resolved id.
|
||||
target = self.get_tuple(config)
|
||||
if target is None:
|
||||
return {ch: {"writes": []} for ch in channels}
|
||||
return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=[])
|
||||
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:
|
||||
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,
|
||||
)
|
||||
|
||||
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),
|
||||
cur.execute(
|
||||
SELECT_DELTA_COMBINED_SQL,
|
||||
(
|
||||
channel,
|
||||
thread_id,
|
||||
checkpoint_ns,
|
||||
thread_id,
|
||||
checkpoint_ns,
|
||||
channel,
|
||||
thread_id,
|
||||
checkpoint_ns,
|
||||
channel,
|
||||
),
|
||||
)
|
||||
rows = cur.fetchall()
|
||||
return self._build_delta_channel_writes_history(
|
||||
channel=channel,
|
||||
target_id=checkpoint_id,
|
||||
rows=cast("list[_DeltaCombinedRow]", rows),
|
||||
)
|
||||
|
||||
def _load_checkpoint_tuple(self, value: DictRow) -> CheckpointTuple:
|
||||
|
||||
@@ -2,23 +2,23 @@ from __future__ import annotations
|
||||
|
||||
import asyncio
|
||||
from collections import defaultdict
|
||||
from collections.abc import AsyncIterator, Iterator, Mapping, Sequence
|
||||
from collections.abc import AsyncIterator, Iterator, 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,
|
||||
DeltaChannelHistory,
|
||||
_ChannelWritesHistory,
|
||||
get_checkpoint_id,
|
||||
get_serializable_checkpoint_metadata,
|
||||
)
|
||||
from langgraph.checkpoint.serde.base import SerializerProtocol
|
||||
from langgraph.checkpoint.serde.types import _DeltaSnapshot
|
||||
from psycopg import AsyncConnection, AsyncCursor, AsyncPipeline, Capabilities
|
||||
from psycopg.rows import DictRow, dict_row
|
||||
from psycopg.types.json import Jsonb
|
||||
@@ -26,11 +26,9 @@ from psycopg_pool import AsyncConnectionPool
|
||||
|
||||
from langgraph.checkpoint.postgres import _ainternal
|
||||
from langgraph.checkpoint.postgres.base import (
|
||||
_DELTA_PAGE_SIZE,
|
||||
SELECT_DELTA_COMBINED_SQL,
|
||||
BasePostgresSaver,
|
||||
_build_delta_stage1_sql,
|
||||
_build_delta_stage2_sql,
|
||||
_DeltaStage2Row,
|
||||
_DeltaCombinedRow,
|
||||
)
|
||||
from langgraph.checkpoint.postgres.shallow import AsyncShallowPostgresSaver
|
||||
|
||||
@@ -269,10 +267,7 @@ class AsyncPostgresSaver(BasePostgresSaver):
|
||||
# others are stored in blobs table
|
||||
blob_values = {}
|
||||
for k, v in checkpoint["channel_values"].items():
|
||||
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)):
|
||||
if v is None or isinstance(v, (str, int, float, bool)):
|
||||
pass
|
||||
else:
|
||||
blob_values[k] = copy["channel_values"].pop(k)
|
||||
@@ -402,95 +397,44 @@ class AsyncPostgresSaver(BasePostgresSaver):
|
||||
async with conn.cursor(binary=True, row_factory=dict_row) as cur:
|
||||
yield cur
|
||||
|
||||
async def aget_delta_channel_history(
|
||||
self, *, config: RunnableConfig, channels: Sequence[str]
|
||||
) -> Mapping[str, DeltaChannelHistory]:
|
||||
"""Fast-path override of `BaseCheckpointSaver.aget_delta_channel_history`.
|
||||
async def _aget_channel_writes_history(
|
||||
self, config: RunnableConfig, channel: str
|
||||
) -> _ChannelWritesHistory:
|
||||
"""Fast-path override of `BaseCheckpointSaver._aget_channel_writes_history`.
|
||||
|
||||
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.
|
||||
One combined UNION ALL query (`SELECT_DELTA_COMBINED_SQL`) fetches rows
|
||||
from `checkpoints`, `checkpoint_writes`, and `checkpoint_blobs` in a
|
||||
single roundtrip; rows are assembled by the shared pure helper on
|
||||
`BasePostgresSaver`.
|
||||
"""
|
||||
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 {ch: {"writes": []} for ch in channels}
|
||||
return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=[])
|
||||
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:
|
||||
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,
|
||||
)
|
||||
|
||||
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),
|
||||
await cur.execute(
|
||||
SELECT_DELTA_COMBINED_SQL,
|
||||
(
|
||||
channel,
|
||||
thread_id,
|
||||
checkpoint_ns,
|
||||
thread_id,
|
||||
checkpoint_ns,
|
||||
channel,
|
||||
thread_id,
|
||||
checkpoint_ns,
|
||||
channel,
|
||||
),
|
||||
)
|
||||
rows = await cur.fetchall()
|
||||
return self._build_delta_channel_writes_history(
|
||||
channel=channel,
|
||||
target_id=checkpoint_id,
|
||||
rows=cast("list[_DeltaCombinedRow]", rows),
|
||||
)
|
||||
|
||||
async def _load_checkpoint_tuple(self, value: DictRow) -> CheckpointTuple:
|
||||
|
||||
@@ -2,26 +2,23 @@ from __future__ import annotations
|
||||
|
||||
import random
|
||||
import warnings
|
||||
from collections.abc import Mapping, Sequence
|
||||
from collections.abc import 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:
|
||||
@@ -159,139 +156,60 @@ INSERT_CHECKPOINT_WRITES_SQL = """
|
||||
"""
|
||||
|
||||
|
||||
class _DeltaStage2Row(TypedDict, total=False):
|
||||
"""One row from `_build_delta_stage2_sql` (a UNION ALL of writes and blobs)."""
|
||||
class _DeltaCombinedRow(TypedDict, total=False):
|
||||
"""One row from `SELECT_DELTA_COMBINED_SQL` (a UNION ALL of three tables).
|
||||
|
||||
_kind: str # "w" or "b"
|
||||
checkpoint_id: str | None # "w" rows only
|
||||
channel: str | None # set on both "w" and "b" rows
|
||||
Every row carries `_kind` ("p" / "w" / "b") plus whichever columns are
|
||||
relevant for that kind; irrelevant columns are NULL and typed as `None`.
|
||||
"""
|
||||
|
||||
_kind: str # always present: "p", "w", or "b"
|
||||
# checkpoint row ("p")
|
||||
checkpoint_id: str | None
|
||||
parent_checkpoint_id: str | None
|
||||
ver: str | None
|
||||
# write / blob rows ("w", "b")
|
||||
type: str | None
|
||||
blob: bytes | None
|
||||
task_id: str | None # "w" rows only
|
||||
idx: int | None # "w" rows only
|
||||
version: str | None # "b" rows only
|
||||
# write row only ("w")
|
||||
task_id: str | None
|
||||
idx: int | None
|
||||
# blob row only ("b")
|
||||
version: str | None
|
||||
|
||||
|
||||
# Multi-channel two-stage DeltaChannel reconstruction.
|
||||
# DeltaChannel reconstruction: one UNION ALL query fetches checkpoints,
|
||||
# writes, and blobs for `channel` in one roundtrip; the ancestor walk runs
|
||||
# in Python in `_build_delta_channel_writes_history`.
|
||||
#
|
||||
# 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).
|
||||
|
||||
|
||||
def _build_delta_stage1_sql(channels: Sequence[str], *, paged: bool) -> str:
|
||||
"""Build stage 1 SQL with 2K parallel JSONB key lookups.
|
||||
|
||||
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.
|
||||
# Parameter order: (channel, thread_id, checkpoint_ns,
|
||||
# thread_id, checkpoint_ns, channel,
|
||||
# thread_id, checkpoint_ns, channel)
|
||||
SELECT_DELTA_COMBINED_SQL = """
|
||||
SELECT 'p'::text AS _kind,
|
||||
checkpoint_id,
|
||||
parent_checkpoint_id,
|
||||
checkpoint -> 'channel_versions' ->> %s AS ver,
|
||||
NULL::text AS type,
|
||||
NULL::bytea AS blob,
|
||||
NULL::text AS task_id,
|
||||
NULL::int AS idx,
|
||||
NULL::text AS version
|
||||
FROM checkpoints
|
||||
WHERE thread_id = %s AND checkpoint_ns = %s
|
||||
UNION ALL
|
||||
SELECT 'w',
|
||||
checkpoint_id, NULL, NULL,
|
||||
type, blob, task_id, idx, NULL
|
||||
FROM checkpoint_writes
|
||||
WHERE thread_id = %s AND checkpoint_ns = %s AND channel = %s
|
||||
UNION ALL
|
||||
SELECT 'b',
|
||||
NULL, NULL, NULL,
|
||||
type, blob, NULL, NULL, version
|
||||
FROM checkpoint_blobs
|
||||
WHERE thread_id = %s AND checkpoint_ns = %s AND channel = %s
|
||||
"""
|
||||
|
||||
|
||||
class BasePostgresSaver(BaseCheckpointSaver[str]):
|
||||
@@ -336,145 +254,82 @@ class BasePostgresSaver(BaseCheckpointSaver[str]):
|
||||
if t.decode() != "empty"
|
||||
}
|
||||
|
||||
@staticmethod
|
||||
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 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`).
|
||||
"""
|
||||
oldest: str | None = None
|
||||
for r in stage1_rows:
|
||||
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
|
||||
|
||||
@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.
|
||||
|
||||
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(
|
||||
def _build_delta_channel_writes_history(
|
||||
self,
|
||||
*,
|
||||
channels: Sequence[str],
|
||||
chain_by_ch: Mapping[str, list[str]],
|
||||
seed_ver_by_ch: Mapping[str, str | None],
|
||||
stage2_rows: Sequence[_DeltaStage2Row],
|
||||
) -> dict[str, DeltaChannelHistory]:
|
||||
"""Demux stage 2 rows per channel; produce per-channel histories.
|
||||
channel: str,
|
||||
target_id: str,
|
||||
rows: Sequence[_DeltaCombinedRow],
|
||||
) -> _ChannelWritesHistory:
|
||||
"""Reconstruct one delta channel's history from the combined UNION ALL rows.
|
||||
|
||||
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".
|
||||
Pure data transform shared by sync (`PostgresSaver`) and async
|
||||
(`AsyncPostgresSaver`); both paths run `SELECT_DELTA_COMBINED_SQL`
|
||||
and feed the tagged rows here.
|
||||
|
||||
Walk is newest → oldest from the target's parent. A non-sentinel
|
||||
blob in `checkpoint_blobs` (a pre-delta snapshot) terminates the
|
||||
walk and is returned as the seed so replay starts from it.
|
||||
|
||||
Writes stored at `target_id` itself are pending writes for the next
|
||||
step and are excluded — the walk begins at the target's parent.
|
||||
"""
|
||||
# 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]] = {}
|
||||
parent_of: dict[str, str | None] = {}
|
||||
ver_of: dict[str, str | None] = {}
|
||||
writes_by_cid: dict[str, list[tuple[str, bytes, str, int]]] = {}
|
||||
blob_by_ver: dict[str, tuple[str, bytes]] = {}
|
||||
|
||||
for r in stage2_rows:
|
||||
ch = cast(str, r["channel"])
|
||||
for r in rows:
|
||||
kind = r["_kind"]
|
||||
if kind == "w":
|
||||
if kind == "p":
|
||||
cid = cast(str, r["checkpoint_id"])
|
||||
writes_by_ch_by_cid.setdefault(ch, {}).setdefault(cid, []).append(
|
||||
parent_of[cid] = r["parent_checkpoint_id"]
|
||||
ver_of[cid] = r["ver"]
|
||||
elif kind == "w":
|
||||
cid = cast(str, r["checkpoint_id"])
|
||||
writes_by_cid.setdefault(cid, []).append(
|
||||
cast(
|
||||
"tuple[str, bytes, str, int]",
|
||||
(r["type"], r["blob"], r["task_id"], r["idx"]),
|
||||
)
|
||||
)
|
||||
else: # kind == "b"
|
||||
ver = cast(str, r["version"])
|
||||
seed_blob_by_ver[(ch, ver)] = cast(
|
||||
blob_by_ver[cast(str, r["version"])] = cast(
|
||||
"tuple[str, bytes]", (r["type"], r["blob"])
|
||||
)
|
||||
|
||||
# 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)
|
||||
# newest write first per ancestor (task_id DESC, idx DESC)
|
||||
for ws in writes_by_cid.values():
|
||||
ws.sort(key=lambda w: (w[2], w[3]), reverse=True)
|
||||
|
||||
result: dict[str, DeltaChannelHistory] = {}
|
||||
for ch in channels:
|
||||
chain_cids = chain_by_ch.get(ch, [])
|
||||
seed_version = seed_ver_by_ch.get(ch)
|
||||
ancestors: list[str] = []
|
||||
cur_cid: str | None = parent_of.get(target_id)
|
||||
while cur_cid is not None:
|
||||
ancestors.append(cur_cid)
|
||||
cur_cid = parent_of.get(cur_cid)
|
||||
if not ancestors:
|
||||
return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=[])
|
||||
|
||||
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()
|
||||
collected: list[PendingWrite] = [] # newest first; reversed at the end
|
||||
for cid in ancestors:
|
||||
# Collect writes first — they encode the transition FROM this
|
||||
# ancestor's state to its child's and must be included even if
|
||||
# this ancestor is also the seed checkpoint.
|
||||
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))
|
||||
# Then check seed terminator.
|
||||
ver = ver_of.get(cid)
|
||||
if ver is not None:
|
||||
seed_blob = blob_by_ver.get(ver)
|
||||
if seed_blob is not None and seed_blob[0] != "empty":
|
||||
blob_value = self.serde.loads_typed(seed_blob)
|
||||
if blob_value is not DELTA_SENTINEL:
|
||||
collected.reverse()
|
||||
return _ChannelWritesHistory(seed=blob_value, 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
|
||||
collected.reverse() # oldest → newest
|
||||
return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=collected)
|
||||
|
||||
def _dump_blobs(
|
||||
self,
|
||||
|
||||
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
|
||||
|
||||
[project]
|
||||
name = "langgraph-checkpoint-postgres"
|
||||
version = "3.1.0a4"
|
||||
version = "3.0.5"
|
||||
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>=4.1.0a4,<5.0.0",
|
||||
"langgraph-checkpoint>=4.0.3,<5.0.0",
|
||||
"orjson>=3.11.5",
|
||||
"psycopg>=3.2.0",
|
||||
"psycopg-pool>=3.2.0",
|
||||
|
||||
Generated
+69
-86
@@ -1,10 +1,6 @@
|
||||
version = 1
|
||||
revision = 3
|
||||
requires-python = ">=3.10"
|
||||
resolution-markers = [
|
||||
"python_full_version >= '3.15'",
|
||||
"python_full_version < '3.15'",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "annotated-types"
|
||||
@@ -244,11 +240,10 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langchain-core"
|
||||
version = "1.3.2"
|
||||
version = "1.2.28"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "jsonpatch" },
|
||||
{ name = "langchain-protocol" },
|
||||
{ name = "langsmith" },
|
||||
{ name = "packaging" },
|
||||
{ name = "pydantic" },
|
||||
@@ -257,26 +252,14 @@ dependencies = [
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{ name = "typing-extensions" },
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{ name = "uuid-utils" },
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|
||||
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|
||||
|
||||
[[package]]
|
||||
name = "langchain-protocol"
|
||||
version = "0.0.15"
|
||||
source = { registry = "https://pypi.org/simple" }
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|
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||||
]
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-checkpoint"
|
||||
version = "4.1.0a4"
|
||||
version = "4.0.3"
|
||||
source = { editable = "../checkpoint" }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
@@ -324,7 +307,7 @@ test = [
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-checkpoint-postgres"
|
||||
version = "3.1.0a4"
|
||||
version = "3.0.5"
|
||||
source = { editable = "." }
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dependencies = [
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{ name = "langgraph-checkpoint" },
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@@ -504,7 +487,7 @@ wheels = [
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[[package]]
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{ name = "librt", marker = "platform_python_implementation != 'PyPy'" },
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@@ -513,51 +496,51 @@ dependencies = [
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{ name = "tomli", marker = "python_full_version < '3.11'" },
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]
|
||||
|
||||
[[package]]
|
||||
|
||||
@@ -4,7 +4,7 @@ import json
|
||||
import random
|
||||
import sqlite3
|
||||
import threading
|
||||
from collections.abc import AsyncIterator, Iterator, Mapping, Sequence
|
||||
from collections.abc import AsyncIterator, Iterator, Sequence
|
||||
from contextlib import closing, contextmanager
|
||||
from typing import Any, cast
|
||||
|
||||
@@ -16,19 +16,12 @@ from langgraph.checkpoint.base import (
|
||||
Checkpoint,
|
||||
CheckpointMetadata,
|
||||
CheckpointTuple,
|
||||
DeltaChannelHistory,
|
||||
SerializerProtocol,
|
||||
get_checkpoint_id,
|
||||
get_checkpoint_metadata,
|
||||
)
|
||||
from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
|
||||
|
||||
from langgraph.checkpoint.sqlite._delta import (
|
||||
DELTA_STAGE1_SQL,
|
||||
build_delta_channels_writes_history,
|
||||
build_delta_stage2_sql,
|
||||
step_walk_with_row,
|
||||
)
|
||||
from langgraph.checkpoint.sqlite.utils import search_where
|
||||
|
||||
_AIO_ERROR_MSG = (
|
||||
@@ -500,88 +493,6 @@ class SqliteSaver(BaseCheckpointSaver[str]):
|
||||
(str(thread_id),),
|
||||
)
|
||||
|
||||
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 (paged): newest-first slice of `checkpoints` returning
|
||||
`(checkpoint_id, parent_checkpoint_id, type, checkpoint)` per
|
||||
ancestor. Sqlite has no JSONB, so we ship the full serialized
|
||||
checkpoint blob and inspect `channel_values` in Python. Pages
|
||||
newest-first by `checkpoint_id` with a `< cursor` predicate;
|
||||
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
|
||||
`writes` filtered to that channel's specific `chain_cids`. No
|
||||
separate seed-blob fetch — sqlite stores `channel_values` inline
|
||||
in the checkpoint blob, so seeds come back from stage 1.
|
||||
"""
|
||||
if not channels:
|
||||
return {}
|
||||
channels = list(channels)
|
||||
thread_id = str(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 {ch: {"writes": []} for ch in channels}
|
||||
checkpoint_id = target.config["configurable"]["checkpoint_id"]
|
||||
|
||||
chain_by_ch: dict[str, list[str]] = {ch: [] for ch in channels}
|
||||
seed_val_by_ch: dict[str, Any] = {}
|
||||
walk_state: dict[str, Any] = {}
|
||||
seeded: set[str] = set()
|
||||
|
||||
with self.cursor(transaction=False) as cur:
|
||||
cur.execute(DELTA_STAGE1_SQL, (thread_id, checkpoint_ns, checkpoint_id))
|
||||
for row in cur:
|
||||
cid, parent_cid, type_tag, blob = row
|
||||
if step_walk_with_row(
|
||||
cid=cid,
|
||||
parent_cid=parent_cid,
|
||||
type_tag=type_tag,
|
||||
blob=blob,
|
||||
target_id=checkpoint_id,
|
||||
serde=self.serde,
|
||||
chain_by_ch=chain_by_ch,
|
||||
seed_val_by_ch=seed_val_by_ch,
|
||||
walk_state=walk_state,
|
||||
seeded=seeded,
|
||||
channels=channels,
|
||||
):
|
||||
break
|
||||
|
||||
channels_with_chain = [ch for ch in channels if chain_by_ch[ch]]
|
||||
stage2_sql = build_delta_stage2_sql(
|
||||
chain_lens=[len(chain_by_ch[ch]) for ch in channels_with_chain],
|
||||
)
|
||||
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]]
|
||||
)
|
||||
cur.execute(stage2_sql, stage2_params)
|
||||
stage2_rows = cast(
|
||||
"list[tuple[str, str, str, int, str, bytes]]", cur.fetchall()
|
||||
)
|
||||
else:
|
||||
stage2_rows = []
|
||||
|
||||
return build_delta_channels_writes_history(
|
||||
channels=channels,
|
||||
chain_by_ch=chain_by_ch,
|
||||
seed_val_by_ch=seed_val_by_ch,
|
||||
seeded=seeded,
|
||||
stage2_rows=stage2_rows,
|
||||
serde=self.serde,
|
||||
)
|
||||
|
||||
async def aget_tuple(self, config: RunnableConfig) -> CheckpointTuple | None:
|
||||
"""Get a checkpoint tuple from the database asynchronously.
|
||||
|
||||
|
||||
@@ -1,172 +0,0 @@
|
||||
"""Shared helpers for `get_delta_channel_history` on sqlite savers.
|
||||
|
||||
Mirrors the two-stage shape of `BasePostgresSaver` (ancestor walk +
|
||||
per-channel UNION ALL writes fetch), but adapted for sqlite's
|
||||
constraints. The structural differences:
|
||||
|
||||
* No JSONB — to inspect `channel_values` for a checkpoint we must
|
||||
deserialize the full blob. Stage 1 streams the cursor row-by-row and
|
||||
deserializes only the rows the merged walk visits, freeing each blob
|
||||
before advancing.
|
||||
* No separate blob table — `channel_values` lives inline in the
|
||||
checkpoint, so seeds come back from stage 1 with no second fetch.
|
||||
* Single merged walk (not K independent walks): each visited cid is
|
||||
deserialized exactly once, regardless of how many channels are still
|
||||
seeking their seed.
|
||||
|
||||
The streaming design keeps peak in-flight memory at roughly one
|
||||
deserialized checkpoint at a time, instead of holding the entire
|
||||
ancestor chain's worth of raw blobs as a `fetchall()`-materialized list.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from collections.abc import Mapping, Sequence
|
||||
from typing import Any
|
||||
|
||||
from langgraph.checkpoint.base import DeltaChannelHistory, PendingWrite
|
||||
|
||||
# Stage 1 streams ancestors of `target_cid` newest-first. The `<=`
|
||||
# predicate keeps target itself in the stream so we can read its
|
||||
# `parent_checkpoint_id` from the first row without a separate lookup;
|
||||
# the caller skips target's own writes/seed (matches the
|
||||
# `BaseCheckpointSaver` contract).
|
||||
DELTA_STAGE1_SQL = (
|
||||
"SELECT checkpoint_id, parent_checkpoint_id, type, checkpoint "
|
||||
"FROM checkpoints "
|
||||
"WHERE thread_id = ? AND checkpoint_ns = ? AND checkpoint_id <= ? "
|
||||
"ORDER BY checkpoint_id DESC"
|
||||
)
|
||||
|
||||
|
||||
def build_delta_stage2_sql(*, chain_lens: Sequence[int]) -> str:
|
||||
"""Stage-2 per-channel UNION ALL fetching writes from `writes`.
|
||||
|
||||
One branch per channel with a non-empty chain. Each branch inlines its
|
||||
own `IN (?, ?, ...)` placeholder list because sqlite has no array-bind
|
||||
equivalent of postgres's `= ANY(%s)`. Caller passes parameters in
|
||||
matching order: `[thread_id, checkpoint_ns, channel, *chain_cids]` per
|
||||
branch.
|
||||
|
||||
Returns an empty string when no channel has a chain (caller skips
|
||||
executing in that case). Per-channel UNION ALL avoids the over-fetch
|
||||
of a single `channel = ANY(channels)` filter when channels have
|
||||
different chain depths — same rationale as postgres.
|
||||
"""
|
||||
branches: list[str] = []
|
||||
for n in chain_lens:
|
||||
cid_placeholders = ",".join("?" * n)
|
||||
branches.append(
|
||||
"SELECT checkpoint_id, channel, task_id, idx, type, value "
|
||||
"FROM writes "
|
||||
"WHERE thread_id = ? AND checkpoint_ns = ? AND channel = ? "
|
||||
f"AND checkpoint_id IN ({cid_placeholders})"
|
||||
)
|
||||
return " UNION ALL ".join(branches)
|
||||
|
||||
|
||||
def step_walk_with_row(
|
||||
*,
|
||||
cid: str,
|
||||
parent_cid: str | None,
|
||||
type_tag: str,
|
||||
blob: bytes,
|
||||
target_id: str,
|
||||
serde: Any,
|
||||
chain_by_ch: dict[str, list[str]],
|
||||
seed_val_by_ch: dict[str, Any],
|
||||
walk_state: dict[str, Any],
|
||||
seeded: set[str],
|
||||
channels: Sequence[str],
|
||||
) -> bool:
|
||||
"""Process one streamed stage-1 row in the merged ancestor walk.
|
||||
|
||||
The cursor returns (cid, parent_cid, type, blob) rows in
|
||||
`checkpoint_id` DESC order starting at target. The first row is
|
||||
target itself; we read its parent_cid to seed the walk and otherwise
|
||||
skip it (target's own writes/seed are not part of the contract).
|
||||
|
||||
For each subsequent row, if `cid` matches the walk's current
|
||||
position, we deserialize the blob, append the cid to every
|
||||
not-yet-seeded channel's chain, and check `channel_values` for
|
||||
seeds. The deserialized checkpoint is dropped before advancing — no
|
||||
cross-row cache, so peak in-flight is one deserialized checkpoint.
|
||||
|
||||
Off-path rows (different branch on the same thread) advance the
|
||||
cursor without doing any work.
|
||||
|
||||
Returns True when every requested channel is seeded — the caller
|
||||
can stop iterating and close the cursor.
|
||||
"""
|
||||
if "started" not in walk_state:
|
||||
if cid == target_id:
|
||||
walk_state["started"] = True
|
||||
walk_state["cur_cid"] = parent_cid
|
||||
walk_state["active"] = {ch for ch in channels if ch not in seeded}
|
||||
# Not target yet (or target not present): keep streaming.
|
||||
return False
|
||||
active: set[str] = walk_state["active"]
|
||||
if not active:
|
||||
return True
|
||||
if cid != walk_state["cur_cid"]:
|
||||
# Off-path row from a sibling branch — skip without deserializing.
|
||||
return False
|
||||
for ch in active:
|
||||
chain_by_ch[ch].append(cid)
|
||||
ckpt = serde.loads_typed((type_tag, blob))
|
||||
channel_values: Mapping[str, Any] = ckpt.get("channel_values") or {}
|
||||
for ch in [ch for ch in active if ch in channel_values]:
|
||||
seed_val_by_ch[ch] = channel_values[ch]
|
||||
seeded.add(ch)
|
||||
active.discard(ch)
|
||||
del ckpt, channel_values
|
||||
walk_state["cur_cid"] = parent_cid
|
||||
return not active
|
||||
|
||||
|
||||
def build_delta_channels_writes_history(
|
||||
*,
|
||||
channels: Sequence[str],
|
||||
chain_by_ch: Mapping[str, list[str]],
|
||||
seed_val_by_ch: Mapping[str, Any],
|
||||
seeded: set[str],
|
||||
stage2_rows: Sequence[tuple[str, str, str, int, str, bytes]],
|
||||
serde: Any,
|
||||
) -> dict[str, DeltaChannelHistory]:
|
||||
"""Demux stage-2 rows per channel; produce per-channel histories.
|
||||
|
||||
Stage-2 rows are `(checkpoint_id, channel, task_id, idx, type, value)`.
|
||||
Final write order is oldest→newest globally and `(task_id, idx)` within
|
||||
a checkpoint, matching the contract on `DeltaChannelHistory.writes`.
|
||||
|
||||
`seed` is omitted when the walk reached a true root with no snapshot
|
||||
found (channel never entered `seeded`); consumers treat absence as
|
||||
"start empty".
|
||||
"""
|
||||
writes_by_ch_by_cid: dict[str, dict[str, list[tuple[str, bytes, str, int]]]] = {
|
||||
ch: {} for ch in channels
|
||||
}
|
||||
for cid, ch, task_id, idx, type_tag, value_blob in stage2_rows:
|
||||
writes_by_ch_by_cid.setdefault(ch, {}).setdefault(cid, []).append(
|
||||
(type_tag, value_blob, 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]))
|
||||
|
||||
result: dict[str, DeltaChannelHistory] = {}
|
||||
for ch in channels:
|
||||
chain_cids = chain_by_ch.get(ch, [])
|
||||
cid_writes = writes_by_ch_by_cid.get(ch, {})
|
||||
collected: list[PendingWrite] = []
|
||||
# Chain is newest-first; iterate oldest-first for the public order.
|
||||
for cid in reversed(chain_cids):
|
||||
for type_tag, value_blob, task_id, _idx in cid_writes.get(cid, []):
|
||||
collected.append(
|
||||
(task_id, ch, serde.loads_typed((type_tag, value_blob)))
|
||||
)
|
||||
entry: DeltaChannelHistory = {"writes": collected}
|
||||
if ch in seeded:
|
||||
entry["seed"] = seed_val_by_ch[ch]
|
||||
result[ch] = entry
|
||||
return result
|
||||
@@ -4,7 +4,7 @@ import asyncio
|
||||
import json
|
||||
import random
|
||||
import threading
|
||||
from collections.abc import AsyncIterator, Callable, Iterator, Mapping, Sequence
|
||||
from collections.abc import AsyncIterator, Callable, Iterator, Sequence
|
||||
from contextlib import asynccontextmanager
|
||||
from typing import Any, TypeVar, cast
|
||||
|
||||
@@ -17,19 +17,12 @@ from langgraph.checkpoint.base import (
|
||||
Checkpoint,
|
||||
CheckpointMetadata,
|
||||
CheckpointTuple,
|
||||
DeltaChannelHistory,
|
||||
SerializerProtocol,
|
||||
get_checkpoint_id,
|
||||
get_checkpoint_metadata,
|
||||
)
|
||||
from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
|
||||
|
||||
from langgraph.checkpoint.sqlite._delta import (
|
||||
DELTA_STAGE1_SQL,
|
||||
build_delta_channels_writes_history,
|
||||
build_delta_stage2_sql,
|
||||
step_walk_with_row,
|
||||
)
|
||||
from langgraph.checkpoint.sqlite.utils import search_where
|
||||
|
||||
T = TypeVar("T", bound=Callable)
|
||||
@@ -279,29 +272,6 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
|
||||
self.adelete_thread(thread_id), self.loop
|
||||
).result()
|
||||
|
||||
def get_delta_channel_history(
|
||||
self, *, config: RunnableConfig, channels: Sequence[str]
|
||||
) -> Mapping[str, DeltaChannelHistory]:
|
||||
"""Sync bridge to `aget_delta_channel_history`.
|
||||
|
||||
Mirrors the same cross-thread guard as `get_tuple` /
|
||||
`delete_thread` — calling from the loop thread raises rather than
|
||||
deadlocking.
|
||||
"""
|
||||
try:
|
||||
if asyncio.get_running_loop() is self.loop:
|
||||
raise asyncio.InvalidStateError(
|
||||
"Synchronous calls to AsyncSqliteSaver are only allowed from a "
|
||||
"different thread. From the main thread, use the async interface. "
|
||||
"For example, use `await checkpointer.aget_delta_channel_history(...)`."
|
||||
)
|
||||
except RuntimeError:
|
||||
pass
|
||||
return asyncio.run_coroutine_threadsafe(
|
||||
self.aget_delta_channel_history(config=config, channels=channels),
|
||||
self.loop,
|
||||
).result()
|
||||
|
||||
async def setup(self) -> None:
|
||||
"""Set up the checkpoint database asynchronously.
|
||||
|
||||
@@ -619,83 +589,6 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
|
||||
)
|
||||
await self.conn.commit()
|
||||
|
||||
async def aget_delta_channel_history(
|
||||
self, *, config: RunnableConfig, channels: Sequence[str]
|
||||
) -> Mapping[str, DeltaChannelHistory]:
|
||||
"""Fast-path override of `BaseCheckpointSaver.aget_delta_channel_history`.
|
||||
|
||||
See `SqliteSaver.get_delta_channel_history` for design notes; this
|
||||
is the async equivalent using `aiosqlite` cursors. Stage 1 pages
|
||||
the parent chain newest-first and Python-deserializes each
|
||||
checkpoint blob to find per-channel snapshots; stage 2 fetches
|
||||
only the relevant writes via per-channel UNION ALL.
|
||||
"""
|
||||
if not channels:
|
||||
return {}
|
||||
channels = list(channels)
|
||||
await self.setup()
|
||||
thread_id = str(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 {ch: {"writes": []} for ch in channels}
|
||||
checkpoint_id = target.config["configurable"]["checkpoint_id"]
|
||||
|
||||
chain_by_ch: dict[str, list[str]] = {ch: [] for ch in channels}
|
||||
seed_val_by_ch: dict[str, Any] = {}
|
||||
walk_state: dict[str, Any] = {}
|
||||
seeded: set[str] = set()
|
||||
|
||||
async with self.lock, self.conn.cursor() as cur:
|
||||
await cur.execute(
|
||||
DELTA_STAGE1_SQL, (thread_id, checkpoint_ns, checkpoint_id)
|
||||
)
|
||||
async for row in cur:
|
||||
cid, parent_cid, type_tag, blob = row
|
||||
if step_walk_with_row(
|
||||
cid=cid,
|
||||
parent_cid=parent_cid,
|
||||
type_tag=type_tag,
|
||||
blob=blob,
|
||||
target_id=checkpoint_id,
|
||||
serde=self.serde,
|
||||
chain_by_ch=chain_by_ch,
|
||||
seed_val_by_ch=seed_val_by_ch,
|
||||
walk_state=walk_state,
|
||||
seeded=seeded,
|
||||
channels=channels,
|
||||
):
|
||||
break
|
||||
|
||||
channels_with_chain = [ch for ch in channels if chain_by_ch[ch]]
|
||||
stage2_sql = build_delta_stage2_sql(
|
||||
chain_lens=[len(chain_by_ch[ch]) for ch in channels_with_chain],
|
||||
)
|
||||
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]]
|
||||
)
|
||||
await cur.execute(stage2_sql, stage2_params)
|
||||
stage2_rows = cast(
|
||||
"list[tuple[str, str, str, int, str, bytes]]",
|
||||
await cur.fetchall(),
|
||||
)
|
||||
else:
|
||||
stage2_rows = []
|
||||
|
||||
return build_delta_channels_writes_history(
|
||||
channels=channels,
|
||||
chain_by_ch=chain_by_ch,
|
||||
seed_val_by_ch=seed_val_by_ch,
|
||||
seeded=seeded,
|
||||
stage2_rows=stage2_rows,
|
||||
serde=self.serde,
|
||||
)
|
||||
|
||||
def get_next_version(self, current: str | None, channel: None) -> str:
|
||||
"""Generate the next version ID for a channel.
|
||||
|
||||
|
||||
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
|
||||
|
||||
[project]
|
||||
name = "langgraph-checkpoint-sqlite"
|
||||
version = "3.1.0a1"
|
||||
version = "3.0.3"
|
||||
description = "Library with a SQLite 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>=4.1.0a4,<5.0.0",
|
||||
"langgraph-checkpoint>=3,<5.0.0",
|
||||
"aiosqlite>=0.20",
|
||||
"sqlite-vec>=0.1.6",
|
||||
]
|
||||
|
||||
@@ -1,170 +0,0 @@
|
||||
"""Sqlite-specific migration smoke tests: BinaryOperatorAggregate -> DeltaChannel.
|
||||
|
||||
Mirrors `libs/langgraph/tests/test_delta_channel_migration.py` (which
|
||||
covers `InMemorySaver` + a third-party fallback to the base default
|
||||
impl). This file exercises the same migration scenario through the
|
||||
sqlite-specific `SqliteSaver.get_delta_channel_history` override —
|
||||
specifically that the streaming ancestor walk finds a pre-migration
|
||||
plain `channel_values[ch]` entry and surfaces it as the `seed`, with
|
||||
post-migration writes folding on top through the reducer.
|
||||
|
||||
Pre-migration checkpoints under `BinaryOperatorAggregate` carry the
|
||||
full accumulated value at every settled super-step boundary. The
|
||||
override has to identify those as "real" seeds (not `_DeltaSnapshot`
|
||||
sentinels) — the saver layer is intentionally delta-agnostic and just
|
||||
returns whatever is stored in `channel_values[ch]`.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import operator
|
||||
from typing import Annotated, Any
|
||||
|
||||
import pytest
|
||||
from langchain_core.runnables import RunnableConfig
|
||||
|
||||
# `langgraph` core isn't a dep of `langgraph-checkpoint-sqlite`. Skip the
|
||||
# whole module rather than importerror-ing in the standalone CI shape.
|
||||
pytest.importorskip("langgraph.channels.delta", reason="langgraph core not installed")
|
||||
pytest.importorskip("langgraph.channels.binop", reason="langgraph core not installed")
|
||||
pytest.importorskip("langgraph.graph", reason="langgraph core not installed")
|
||||
|
||||
from langgraph.channels.binop import BinaryOperatorAggregate # type: ignore[import-untyped] # noqa: E402,I001
|
||||
from langgraph.channels.delta import DeltaChannel # type: ignore[import-untyped] # 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
|
||||
|
||||
|
||||
def _noop(_state: Any) -> dict:
|
||||
return {}
|
||||
|
||||
|
||||
def _list_concat(state: list, writes: list) -> list:
|
||||
result = list(state)
|
||||
for w in writes:
|
||||
result.extend(w if isinstance(w, list) else [w])
|
||||
return result
|
||||
|
||||
|
||||
def _binop_graph(checkpointer: Any) -> Any:
|
||||
class BinopState(TypedDict):
|
||||
items: Annotated[list, BinaryOperatorAggregate(list, operator.add)]
|
||||
|
||||
return (
|
||||
StateGraph(BinopState)
|
||||
.add_node("noop", _noop)
|
||||
.add_edge(START, "noop")
|
||||
.add_edge("noop", END)
|
||||
.compile(checkpointer=checkpointer)
|
||||
)
|
||||
|
||||
|
||||
def _delta_graph(checkpointer: Any) -> Any:
|
||||
class DeltaState(TypedDict):
|
||||
items: Annotated[list, DeltaChannel(_list_concat)]
|
||||
|
||||
return (
|
||||
StateGraph(DeltaState)
|
||||
.add_node("noop", _noop)
|
||||
.add_edge(START, "noop")
|
||||
.add_edge("noop", END)
|
||||
.compile(checkpointer=checkpointer)
|
||||
)
|
||||
|
||||
|
||||
def _drive(graph: Any, config: RunnableConfig, tag: str, n: int) -> None:
|
||||
for i in range(n):
|
||||
graph.invoke({"items": [f"{tag}{i}"]}, config)
|
||||
|
||||
|
||||
async def _adrive(graph: Any, config: RunnableConfig, tag: str, n: int) -> None:
|
||||
for i in range(n):
|
||||
await graph.ainvoke({"items": [f"{tag}{i}"]}, config)
|
||||
|
||||
|
||||
def _settled_boundaries(history: list) -> list[tuple[RunnableConfig, list]]:
|
||||
"""`(config, items)` for every checkpoint with `next == ('__start__',)`
|
||||
— the stable inter-invoke boundaries that round-trip predictably.
|
||||
"""
|
||||
return [
|
||||
(s.config, list(s.values.get("items", [])))
|
||||
for s in history
|
||||
if s.next == ("__start__",)
|
||||
]
|
||||
|
||||
|
||||
def test_migration_preserves_pre_migration_state_sync() -> None:
|
||||
"""Drive 3 invokes under `BinaryOperatorAggregate`, swap the
|
||||
annotation to `DeltaChannel` on the same sqlite-backed thread, and
|
||||
verify every settled pre-migration boundary round-trips exactly.
|
||||
|
||||
The override's streaming walk must identify the plain accumulated
|
||||
list at each pre-migration ancestor as a valid `seed` even though
|
||||
no `_DeltaSnapshot` was ever written there.
|
||||
"""
|
||||
with SqliteSaver.from_conn_string(":memory:") as saver:
|
||||
config: RunnableConfig = {"configurable": {"thread_id": "mig-sync"}}
|
||||
|
||||
binop = _binop_graph(saver)
|
||||
_drive(binop, config, "u", 3)
|
||||
|
||||
pre_boundaries = _settled_boundaries(list(binop.get_state_history(config)))
|
||||
assert len(pre_boundaries) >= 2, "expected multiple settled boundaries"
|
||||
|
||||
delta = _delta_graph(saver)
|
||||
for cfg, items in pre_boundaries:
|
||||
snap = delta.get_state(cfg)
|
||||
assert list(snap.values.get("items", [])) == items, (
|
||||
f"snapshot mismatch at {cfg['configurable']['checkpoint_id']}: "
|
||||
f"expected {items}, got {snap.values.get('items', [])}"
|
||||
)
|
||||
|
||||
|
||||
def test_migration_continued_thread_folds_deltas_on_seed_sync() -> None:
|
||||
"""After migration, driving one more super-step extends the
|
||||
pre-migration accumulated state via the delta reducer — the seed
|
||||
plus a single new write.
|
||||
"""
|
||||
with SqliteSaver.from_conn_string(":memory:") as saver:
|
||||
config: RunnableConfig = {"configurable": {"thread_id": "mig-continue-sync"}}
|
||||
|
||||
binop = _binop_graph(saver)
|
||||
_drive(binop, config, "u", 3)
|
||||
|
||||
pre_history = list(binop.get_state_history(config))
|
||||
pre_boundaries = _settled_boundaries(pre_history)
|
||||
# Latest settled boundary — the leaf pre-migration state.
|
||||
leaf_cfg, leaf_items = pre_boundaries[0]
|
||||
assert leaf_items, "expected non-empty pre-migration leaf"
|
||||
|
||||
delta = _delta_graph(saver)
|
||||
delta.invoke({"items": ["after-migration"]}, leaf_cfg)
|
||||
new_state = delta.get_state(config).values["items"]
|
||||
assert new_state[: len(leaf_items)] == leaf_items
|
||||
assert "after-migration" in new_state
|
||||
|
||||
|
||||
async def test_migration_preserves_pre_migration_state_async() -> None:
|
||||
"""Async equivalent of the basic-migration round-trip check on
|
||||
`AsyncSqliteSaver`."""
|
||||
async with AsyncSqliteSaver.from_conn_string(":memory:") as saver:
|
||||
config: RunnableConfig = {"configurable": {"thread_id": "mig-async"}}
|
||||
|
||||
binop = _binop_graph(saver)
|
||||
await _adrive(binop, config, "u", 3)
|
||||
|
||||
pre_history = [s async for s in binop.aget_state_history(config)]
|
||||
pre_boundaries = _settled_boundaries(pre_history)
|
||||
assert len(pre_boundaries) >= 2
|
||||
|
||||
delta = _delta_graph(saver)
|
||||
for cfg, items in pre_boundaries:
|
||||
snap = await delta.aget_state(cfg)
|
||||
assert list(snap.values.get("items", [])) == items, (
|
||||
f"async snapshot mismatch at {cfg['configurable']['checkpoint_id']}"
|
||||
)
|
||||
@@ -1,271 +0,0 @@
|
||||
"""Smoke tests for `BaseCheckpointSaver.get_delta_channel_history` on sqlite.
|
||||
|
||||
`SqliteSaver` (and `AsyncSqliteSaver`) deliberately don't override the
|
||||
default implementation in `BaseCheckpointSaver` — these tests pin the
|
||||
default impl to behave correctly end-to-end against a real persistent
|
||||
saver and a real `DeltaChannel`-backed graph.
|
||||
|
||||
Scenarios covered:
|
||||
|
||||
* Empty `channels` argument returns an empty mapping (no I/O).
|
||||
* On a non-trivial multi-checkpoint thread, per-channel writes come back
|
||||
oldest→newest.
|
||||
* When the walk reaches the root without ever finding a stored value,
|
||||
`seed` is omitted from the entry (consumer treats absence as "start
|
||||
empty").
|
||||
* When a `_DeltaSnapshot` blob is present at an ancestor, it is returned
|
||||
as the `seed`.
|
||||
* The async saver returns the same shape via `aget_delta_channel_history`.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import operator
|
||||
from typing import Annotated, Any
|
||||
|
||||
import pytest
|
||||
from langchain_core.runnables import RunnableConfig
|
||||
|
||||
# `langgraph` is not a dep of `langgraph-checkpoint-sqlite`. When tests run
|
||||
# in the sqlite lib's standalone CI environment without it installed, skip
|
||||
# the whole module rather than failing at import.
|
||||
pytest.importorskip("langgraph.channels.delta", reason="langgraph core not installed")
|
||||
pytest.importorskip("langgraph.graph", reason="langgraph core not installed")
|
||||
|
||||
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
+66
-70
@@ -1,10 +1,6 @@
|
||||
version = 1
|
||||
revision = 3
|
||||
requires-python = ">=3.10"
|
||||
resolution-markers = [
|
||||
"python_full_version >= '3.15'",
|
||||
"python_full_version < '3.15'",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "aiosqlite"
|
||||
@@ -272,7 +268,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-checkpoint"
|
||||
version = "4.1.0a4"
|
||||
version = "4.0.3"
|
||||
source = { editable = "../checkpoint" }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
@@ -320,7 +316,7 @@ test = [
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-checkpoint-sqlite"
|
||||
version = "3.1.0a1"
|
||||
version = "3.0.3"
|
||||
source = { editable = "." }
|
||||
dependencies = [
|
||||
{ name = "aiosqlite" },
|
||||
@@ -494,7 +490,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "mypy"
|
||||
version = "1.20.2"
|
||||
version = "1.20.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "librt", marker = "platform_python_implementation != 'PyPy'" },
|
||||
@@ -503,51 +499,51 @@ dependencies = [
|
||||
{ name = "tomli", marker = "python_full_version < '3.11'" },
|
||||
{ name = "typing-extensions" },
|
||||
]
|
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wheels = [
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||||
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||||
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||||
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[[package]]
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||||
@@ -1027,27 +1023,27 @@ wheels = [
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|
||||
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{ url = "https://files.pythonhosted.org/packages/15/e2/77be4fff062fa78d9b2a4dea85d14785dac5f1d0c1fb58ed52331f0ebe28/ruff-0.15.8-py3-none-win_arm64.whl", hash = "sha256:cf891fa8e3bb430c0e7fac93851a5978fc99c8fa2c053b57b118972866f8e5f2", size = 11048175, upload-time = "2026-03-26T18:40:01.06Z" },
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]
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[[package]]
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||||
|
||||
@@ -13,12 +13,14 @@ 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,
|
||||
@@ -60,16 +62,6 @@ 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]
|
||||
@@ -132,26 +124,28 @@ class CheckpointTuple(NamedTuple):
|
||||
pending_writes: list[PendingWrite] | None = None
|
||||
|
||||
|
||||
class DeltaChannelHistory(TypedDict):
|
||||
"""Per-channel result entry from `BaseCheckpointSaver.get_delta_channel_history`.
|
||||
class _ChannelWritesHistory(NamedTuple):
|
||||
"""Result of `BaseCheckpointSaver._get_channel_writes_history`.
|
||||
|
||||
Storage-level view of what one channel contributed across the ancestor
|
||||
chain of a target checkpoint:
|
||||
Storage-level view of what one channel wrote across the ancestor chain
|
||||
of a target checkpoint:
|
||||
|
||||
* `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` — 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.
|
||||
"""
|
||||
|
||||
seed: Any
|
||||
writes: list[PendingWrite]
|
||||
seed: NotRequired[Any]
|
||||
|
||||
|
||||
class BaseCheckpointSaver(Generic[V]):
|
||||
@@ -492,101 +486,103 @@ class BaseCheckpointSaver(Generic[V]):
|
||||
"""
|
||||
raise NotImplementedError
|
||||
|
||||
def get_delta_channel_history(
|
||||
self, *, config: RunnableConfig, channels: Sequence[str]
|
||||
) -> Mapping[str, DeltaChannelHistory]:
|
||||
"""Walk the parent chain returning per-channel writes + seed.
|
||||
def _get_tuple_raw(self, config: RunnableConfig) -> CheckpointTuple | None:
|
||||
"""Pure storage read used by `_get_channel_writes_history`.
|
||||
|
||||
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."
|
||||
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.
|
||||
|
||||
Walks the **parent chain** (not `list(before=...)`): for forked
|
||||
threads, only on-path ancestors contribute.
|
||||
|
||||
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`,
|
||||
Reference implementation walks `get_tuple` + `parent_config`,
|
||||
inspecting each ancestor's `channel_values[channel]` for the seed
|
||||
terminator. Savers with direct storage access (`InMemorySaver`,
|
||||
`PostgresSaver`) override for performance; the return contract is
|
||||
fixed here.
|
||||
|
||||
Args:
|
||||
config: Configuration identifying the target checkpoint.
|
||||
channels: Channel names to walk for. Empty → empty mapping.
|
||||
|
||||
Returns:
|
||||
Per-channel `DeltaChannelHistory` for every name in `channels`.
|
||||
Underscore-prefixed because the method surface is experimental.
|
||||
"""
|
||||
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)
|
||||
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 and remaining:
|
||||
tup = self.get_tuple(cursor_config)
|
||||
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):
|
||||
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)
|
||||
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
|
||||
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
|
||||
collected.reverse()
|
||||
return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=collected)
|
||||
|
||||
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)
|
||||
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)
|
||||
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)
|
||||
while cursor_config is not None:
|
||||
tup = await self._aget_tuple_raw(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)
|
||||
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)
|
||||
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
|
||||
collected.reverse()
|
||||
return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=collected)
|
||||
|
||||
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, Mapping, Sequence
|
||||
from collections.abc import AsyncIterator, Iterator, Sequence
|
||||
from contextlib import AbstractAsyncContextManager, AbstractContextManager, ExitStack
|
||||
from types import TracebackType
|
||||
from typing import Any
|
||||
@@ -14,18 +14,20 @@ 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__)
|
||||
|
||||
@@ -139,31 +141,17 @@ class InMemorySaver(
|
||||
result[k] = self.serde.loads_typed(vv)
|
||||
return result
|
||||
|
||||
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
|
||||
|
||||
def _get_channel_writes_history(
|
||||
self, config: RunnableConfig, channel: str
|
||||
) -> _ChannelWritesHistory:
|
||||
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
|
||||
@@ -174,64 +162,77 @@ class InMemorySaver(
|
||||
chain.append(current)
|
||||
_, _, parent = entry
|
||||
current = parent
|
||||
|
||||
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
|
||||
# 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
|
||||
entry = ns_storage.get(cp_id)
|
||||
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)
|
||||
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
|
||||
)
|
||||
|
||||
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 not in remaining:
|
||||
if ch != channel:
|
||||
continue
|
||||
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))
|
||||
)
|
||||
val = self.serde.loads_typed(serialized)
|
||||
collected.append((tid, ch, val))
|
||||
collected.reverse()
|
||||
return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=collected)
|
||||
|
||||
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)
|
||||
async def _aget_channel_writes_history(
|
||||
self, config: RunnableConfig, channel: str
|
||||
) -> _ChannelWritesHistory:
|
||||
return self._get_channel_writes_history(config, channel)
|
||||
|
||||
def get_tuple(self, config: RunnableConfig) -> CheckpointTuple | None:
|
||||
"""Get a checkpoint tuple from the in-memory storage.
|
||||
|
||||
@@ -34,7 +34,9 @@ from langgraph.checkpoint.serde import _msgpack as _lg_msgpack
|
||||
from langgraph.checkpoint.serde.base import SerializerProtocol
|
||||
from langgraph.checkpoint.serde.event_hooks import emit_serde_event
|
||||
from langgraph.checkpoint.serde.types import (
|
||||
DELTA_SENTINEL,
|
||||
SendProtocol,
|
||||
_DeltaSentinel,
|
||||
_DeltaSnapshot,
|
||||
)
|
||||
from langgraph.store.base import Item
|
||||
@@ -320,11 +322,14 @@ EXT_PYDANTIC_V1 = 4
|
||||
EXT_PYDANTIC_V2 = 5
|
||||
EXT_NUMPY_ARRAY = 6
|
||||
EXT_DELTA_SNAPSHOT = 7
|
||||
EXT_DELTA_SENTINEL = 8
|
||||
|
||||
|
||||
def _msgpack_default(obj: Any) -> str | ormsgpack.Ext:
|
||||
if isinstance(obj, _DeltaSnapshot):
|
||||
return ormsgpack.Ext(EXT_DELTA_SNAPSHOT, _msgpack_enc(obj.value))
|
||||
elif isinstance(obj, _DeltaSentinel):
|
||||
return ormsgpack.Ext(EXT_DELTA_SENTINEL, b"")
|
||||
elif hasattr(obj, "model_dump") and callable(obj.model_dump): # pydantic v2
|
||||
return ormsgpack.Ext(
|
||||
EXT_PYDANTIC_V2,
|
||||
@@ -651,7 +656,9 @@ def _create_msgpack_ext_hook(
|
||||
return False
|
||||
|
||||
def ext_hook(code: int, data: bytes) -> Any:
|
||||
if code == EXT_DELTA_SNAPSHOT:
|
||||
if code == EXT_DELTA_SENTINEL:
|
||||
return DELTA_SENTINEL
|
||||
elif code == EXT_DELTA_SNAPSHOT:
|
||||
return _DeltaSnapshot(
|
||||
ormsgpack.unpackb(
|
||||
data, ext_hook=ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
|
||||
|
||||
@@ -16,13 +16,30 @@ RESUME = "__resume__"
|
||||
TASKS = "__pregel_tasks"
|
||||
|
||||
|
||||
class _DeltaSentinel:
|
||||
"""Singleton marker stored (as zero bytes) in checkpoint_blobs for a
|
||||
DeltaChannel field. The actual per-step writes live in checkpoint_writes
|
||||
and are replayed through the reducer at load time.
|
||||
|
||||
Compare with `is DELTA_SENTINEL` — `loads_typed` always returns 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 `BaseCheckpointSaver.get_delta_channel_history` terminates
|
||||
when it encounters this type (any non-empty channel_values entry stops
|
||||
the walk for that channel).
|
||||
The ancestor walk in `_get_channel_writes_history` terminates when it
|
||||
encounters this type (any non-sentinel blob stops the walk).
|
||||
|
||||
`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 = "4.1.0a4"
|
||||
version = "4.0.3"
|
||||
description = "Library with base interfaces for LangGraph checkpoint savers."
|
||||
authors = []
|
||||
requires-python = ">=3.10"
|
||||
|
||||
@@ -1048,3 +1048,15 @@ def test_msgpack_nested_pydantic_serializes_as_dict(
|
||||
# No blocking should occur - inner is serialized as dict, not ext
|
||||
assert "blocked" not in caplog.text.lower()
|
||||
assert result == obj
|
||||
|
||||
|
||||
def test_delta_sentinel_serde_round_trip() -> None:
|
||||
from langgraph.checkpoint.base import DELTA_SENTINEL
|
||||
from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
|
||||
|
||||
serde = JsonPlusSerializer()
|
||||
type_tag, blob = serde.dumps_typed(DELTA_SENTINEL)
|
||||
assert type_tag == "msgpack"
|
||||
assert blob # non-empty ext envelope
|
||||
loaded = serde.loads_typed((type_tag, blob))
|
||||
assert loaded is DELTA_SENTINEL
|
||||
|
||||
@@ -6,6 +6,7 @@ from langchain_core.runnables import RunnableConfig
|
||||
from pydantic import BaseModel
|
||||
|
||||
from langgraph.checkpoint.base import (
|
||||
DELTA_SENTINEL,
|
||||
Checkpoint,
|
||||
CheckpointMetadata,
|
||||
create_checkpoint,
|
||||
@@ -321,27 +322,31 @@ def test_memory_saver_with_allowlist_proxy_isolated() -> None:
|
||||
|
||||
|
||||
class TestInMemorySaverDeltaChannel:
|
||||
def test_load_blobs_omits_delta_channel(self) -> None:
|
||||
"""_load_blobs omits delta channels (stored as 'empty'); reconstruction deferred."""
|
||||
def test_load_blobs_returns_sentinel_for_delta_channel(self) -> None:
|
||||
"""_load_blobs returns DELTA_SENTINEL for delta channels (reconstruction deferred)."""
|
||||
saver = InMemorySaver()
|
||||
serde = JsonPlusSerializer()
|
||||
|
||||
thread_id, ns, channel = "t1", "", "messages"
|
||||
v1 = "00000000000000000000000000000001.0000000000000000"
|
||||
|
||||
saver.blobs[(thread_id, ns, channel, v1)] = ("empty", b"")
|
||||
saver.blobs[(thread_id, ns, channel, v1)] = serde.dumps_typed(DELTA_SENTINEL)
|
||||
|
||||
cp1 = empty_checkpoint()
|
||||
cp1["id"] = "cp1"
|
||||
cp1["channel_versions"][channel] = v1
|
||||
saver.storage[thread_id][ns] = {
|
||||
"cp1": (serde.dumps_typed(cp1), serde.dumps_typed({}), None),
|
||||
}
|
||||
|
||||
result = saver._load_blobs(thread_id, ns, {channel: v1})
|
||||
assert channel not in result
|
||||
assert channel in result
|
||||
assert result[channel] is DELTA_SENTINEL
|
||||
|
||||
def test_get_channel_writes_collects_ancestor_writes_only(self) -> None:
|
||||
"""`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").
|
||||
"""
|
||||
"""_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)."""
|
||||
saver = InMemorySaver()
|
||||
serde = JsonPlusSerializer()
|
||||
|
||||
@@ -379,12 +384,9 @@ class TestInMemorySaverDeltaChannel:
|
||||
"checkpoint_id": "cp2",
|
||||
}
|
||||
}
|
||||
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"]]
|
||||
result = saver._get_channel_writes_history(config, channel)
|
||||
assert result.seed is DELTA_SENTINEL
|
||||
values = [v for _, _, v in result.writes]
|
||||
assert values == [{"content": "hi"}]
|
||||
|
||||
def test_get_channel_writes_at_root_returns_empty(self) -> None:
|
||||
@@ -412,18 +414,15 @@ class TestInMemorySaverDeltaChannel:
|
||||
"checkpoint_id": "cp1",
|
||||
}
|
||||
}
|
||||
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"] == []
|
||||
result = saver._get_channel_writes_history(config, channel)
|
||||
assert result.seed is DELTA_SENTINEL
|
||||
assert result.writes == []
|
||||
|
||||
|
||||
class TestBaseFallbackGetChannelWrites:
|
||||
"""Exercises the `BaseCheckpointSaver.get_delta_channel_history` default
|
||||
"""Exercises the `BaseCheckpointSaver._get_channel_writes_history` default
|
||||
implementation — the path third-party savers inherit when they don't
|
||||
override `get_delta_channel_history` themselves.
|
||||
override `_get_channel_writes_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
|
||||
@@ -439,11 +438,11 @@ class TestBaseFallbackGetChannelWrites:
|
||||
"""
|
||||
|
||||
class _ThirdPartyStyleSaver(InMemorySaver):
|
||||
get_delta_channel_history = (
|
||||
InMemorySaver.__mro__[1].get_delta_channel_history # type: ignore[attr-defined]
|
||||
_get_channel_writes_history = (
|
||||
InMemorySaver.__mro__[1]._get_channel_writes_history # type: ignore[attr-defined]
|
||||
)
|
||||
aget_delta_channel_history = (
|
||||
InMemorySaver.__mro__[1].aget_delta_channel_history # type: ignore[attr-defined]
|
||||
_aget_channel_writes_history = (
|
||||
InMemorySaver.__mro__[1]._aget_channel_writes_history # type: ignore[attr-defined]
|
||||
)
|
||||
|
||||
saver = _ThirdPartyStyleSaver()
|
||||
@@ -487,13 +486,10 @@ class TestBaseFallbackGetChannelWrites:
|
||||
}
|
||||
}
|
||||
|
||||
result = saver.get_delta_channel_history(config=config, channels=["messages"])[
|
||||
"messages"
|
||||
]
|
||||
result = saver._get_channel_writes_history(config, "messages")
|
||||
|
||||
# Walk reached root without a stored value → `seed` key absent.
|
||||
assert "seed" not in result
|
||||
values = [v for _, _, v in result["writes"]]
|
||||
assert result.seed is DELTA_SENTINEL
|
||||
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:
|
||||
@@ -507,19 +503,17 @@ class TestBaseFallbackGetChannelWrites:
|
||||
}
|
||||
}
|
||||
|
||||
result = (
|
||||
await saver.aget_delta_channel_history(config=config, channels=["messages"])
|
||||
)["messages"]
|
||||
result = await saver._aget_channel_writes_history(config, "messages")
|
||||
|
||||
assert "seed" not in result
|
||||
values = [v for _, _, v in result["writes"]]
|
||||
assert result.seed is DELTA_SENTINEL
|
||||
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_delta_channel_history` calls on the same event-loop
|
||||
thread must each see their full reconstructed writes. A
|
||||
Two concurrent `_aget_channel_writes_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=[]`.
|
||||
"""
|
||||
@@ -548,32 +542,27 @@ class TestBaseFallbackGetChannelWrites:
|
||||
}
|
||||
|
||||
results = await asyncio.gather(
|
||||
saver.aget_delta_channel_history(config=config, channels=["messages"]),
|
||||
saver.aget_delta_channel_history(config=config, channels=["messages"]),
|
||||
saver._aget_channel_writes_history(config, "messages"),
|
||||
saver._aget_channel_writes_history(config, "messages"),
|
||||
)
|
||||
|
||||
expected_values = [{"content": "first"}, {"content": "second"}]
|
||||
for result_map in results:
|
||||
result = result_map["messages"]
|
||||
assert "seed" not in result
|
||||
values = [v for _, _, v in result["writes"]]
|
||||
for result in results:
|
||||
assert result.seed is DELTA_SENTINEL
|
||||
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, reconstruction
|
||||
seeds from it and stops. This guards
|
||||
checkpoint whose blob for the channel is a real value (not
|
||||
DELTA_SENTINEL), 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]:
|
||||
@@ -593,9 +582,9 @@ class TestPreDeltaBlobTerminator:
|
||||
|
||||
# Pre-delta: cp1 stored a real blob for the channel.
|
||||
saver.blobs[(thread_id, ns, channel, v1)] = serde.dumps_typed(["A"])
|
||||
# Delta-era: cp2 and cp3 store "empty"; real writes in checkpoint_writes.
|
||||
saver.blobs[(thread_id, ns, channel, v2)] = ("empty", b"")
|
||||
saver.blobs[(thread_id, ns, channel, v3)] = ("empty", b"")
|
||||
# Delta-era: cp2 and cp3 store sentinels; real writes in checkpoint_writes.
|
||||
saver.blobs[(thread_id, ns, channel, v2)] = serde.dumps_typed(DELTA_SENTINEL)
|
||||
saver.blobs[(thread_id, ns, channel, v3)] = serde.dumps_typed(DELTA_SENTINEL)
|
||||
|
||||
cp1 = empty_checkpoint()
|
||||
cp1["id"] = "cp1"
|
||||
@@ -645,16 +634,14 @@ class TestPreDeltaBlobTerminator:
|
||||
}
|
||||
}
|
||||
|
||||
result = saver.get_delta_channel_history(config=config, channels=[channel])[
|
||||
channel
|
||||
]
|
||||
result = saver._get_channel_writes_history(config, 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:
|
||||
@@ -669,11 +656,9 @@ class TestPreDeltaBlobTerminator:
|
||||
}
|
||||
}
|
||||
|
||||
result = saver.get_delta_channel_history(config=config, channels=[channel])[
|
||||
channel
|
||||
]
|
||||
result = saver._get_channel_writes_history(config, 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
+70
-85
@@ -2,8 +2,7 @@ version = 1
|
||||
revision = 3
|
||||
requires-python = ">=3.10"
|
||||
resolution-markers = [
|
||||
"python_full_version >= '3.15'",
|
||||
"python_full_version >= '3.12' and python_full_version < '3.15'",
|
||||
"python_full_version >= '3.12'",
|
||||
"python_full_version == '3.11.*'",
|
||||
"python_full_version < '3.11'",
|
||||
]
|
||||
@@ -268,11 +267,10 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langchain-core"
|
||||
version = "1.3.2"
|
||||
version = "1.2.28"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "jsonpatch" },
|
||||
{ name = "langchain-protocol" },
|
||||
{ name = "langsmith" },
|
||||
{ name = "packaging" },
|
||||
{ name = "pydantic" },
|
||||
@@ -281,26 +279,14 @@ 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/f8/a4/317a1a3ac1df33a64adb3670bf88bbe3b3d5baa274db6863a979db472897/langchain_core-1.2.28.tar.gz", hash = "sha256:271a3d8bd618f795fdeba112b0753980457fc90537c46a0c11998516a74dc2cb", size = 846119, upload-time = "2026-04-08T18:19:34.867Z" }
|
||||
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" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "langchain-protocol"
|
||||
version = "0.0.15"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "typing-extensions" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/4f/24/9777489d6fbbee64af0c8f96d4f840239c408cf694f3394672807dafc490/langchain_protocol-0.0.15.tar.gz", hash = "sha256:9ab2d11ee73944754f10e037e717098d3a6796f0e58afa9cadda6154e7655ade", size = 5862, upload-time = "2026-05-01T22:30:04.748Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/1d/7a/9c97a7b9cbe4c5dc6a44cdb1545450c28f0c8ce89b9c1f0ee7fbad896263/langchain_protocol-0.0.15-py3-none-any.whl", hash = "sha256:461eb794358f83d5e42635a5797799ffec7b4702314e34edf73ac21e75d3ef79", size = 6982, upload-time = "2026-05-01T22:30:03.877Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/a8/92/32f785f077c7e898da97064f113c73fbd9ad55d1e2169cf3a391b183dedb/langchain_core-1.2.28-py3-none-any.whl", hash = "sha256:80764232581eaf8057bcefa71dbf8adc1f6a28d257ebd8b95ba9b8b452e8c6ac", size = 508727, upload-time = "2026-04-08T18:19:32.823Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-checkpoint"
|
||||
version = "4.1.0a4"
|
||||
version = "4.0.3"
|
||||
source = { editable = "." }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
@@ -500,7 +486,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "mypy"
|
||||
version = "1.20.2"
|
||||
version = "1.20.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "librt", marker = "platform_python_implementation != 'PyPy'" },
|
||||
@@ -509,51 +495,51 @@ dependencies = [
|
||||
{ name = "tomli", marker = "python_full_version < '3.11'" },
|
||||
{ name = "typing-extensions" },
|
||||
]
|
||||
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" }
|
||||
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" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/76/97/ce2502df2cecf2ef997b6c6527c4a223b92feb9e7b790cdc8dcd683f3a8a/mypy-1.20.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:cf5a4db6dca263010e2c7bff081c89383c72d187ba2cf4c44759aac970e2f0c4", size = 14457059, upload-time = "2026-04-21T17:06:14.935Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/c9/34/417ee60b822cc80c0f3dc9f495ad7fd8dbb8d8b2cf4baf22d4046d25d01d/mypy-1.20.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:7b0e817b518bff7facd7f85ea05b643ad8bdcce684cf29784987b0a7c8e1f997", size = 13346816, upload-time = "2026-04-21T17:10:41.433Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/4a/85/e20951978702df58379d0bcc2e8f7ccdca4e78cd7dc66dd3ddbf9b29d517/mypy-1.20.2-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:97d7b9a485b40f8ca425460e89bf1da2814625b2da627c0dcc6aa46c92631d14", size = 13772593, upload-time = "2026-04-21T17:08:11.24Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/63/a5/5441a13259ec516c56fd5de0fd96a69a9590ae6c5e5d3e5174aa84b97973/mypy-1.20.2-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1e1c12f6d2db3d78b909b5f77513c11eb7f2dd2782b96a3ab6dffc7d44575c99", size = 14656635, upload-time = "2026-04-21T17:09:54.042Z" },
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|
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|
||||
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|
||||
resolved "https://registry.yarnpkg.com/eslint/-/eslint-10.1.0.tgz#9ca98e654e642ab2e1af6d1e9d8613857ac341b4"
|
||||
integrity sha512-S9jlY/ELKEUwwQnqWDO+f+m6sercqOPSqXM5Go94l7DOmxHVDgmSFGWEzeE/gwgTAr0W103BWt0QLe/7mabIvA==
|
||||
dependencies:
|
||||
"@eslint-community/eslint-utils" "^4.8.0"
|
||||
"@eslint-community/regexpp" "^4.12.2"
|
||||
"@eslint/config-array" "^0.23.5"
|
||||
"@eslint/config-helpers" "^0.5.5"
|
||||
"@eslint/core" "^1.2.1"
|
||||
"@eslint/plugin-kit" "^0.7.1"
|
||||
"@eslint/config-array" "^0.23.3"
|
||||
"@eslint/config-helpers" "^0.5.3"
|
||||
"@eslint/core" "^1.1.1"
|
||||
"@eslint/plugin-kit" "^0.6.1"
|
||||
"@humanfs/node" "^0.16.6"
|
||||
"@humanwhocodes/module-importer" "^1.0.1"
|
||||
"@humanwhocodes/retry" "^0.4.2"
|
||||
@@ -2682,7 +2683,7 @@ 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==
|
||||
|
||||
handlebars@^4.7.9:
|
||||
handlebars@^4.7.8:
|
||||
version "4.7.9"
|
||||
resolved "https://registry.yarnpkg.com/handlebars/-/handlebars-4.7.9.tgz#6f139082ab58dc4e5a0e51efe7db5ae890d56a0f"
|
||||
integrity sha512-4E71E0rpOaQuJR2A3xDZ+GM1HyWYv1clR58tC8emQNeQe3RH7MAzSbat+V0wG78LQBo6m6bzSG/L4pBuCsgnUQ==
|
||||
@@ -4129,10 +4130,10 @@ prettier-linter-helpers@^1.0.1:
|
||||
dependencies:
|
||||
fast-diff "^1.1.2"
|
||||
|
||||
prettier@^3.8.3:
|
||||
version "3.8.3"
|
||||
resolved "https://registry.yarnpkg.com/prettier/-/prettier-3.8.3.tgz#560f2de55bf01b4c0503bc629d5df99b9a1d09b0"
|
||||
integrity sha512-7igPTM53cGHMW8xWuVTydi2KO233VFiTNyF5hLJqpilHfmn8C8gPf+PS7dUT64YcXFbiMGZxS9pCSxL/Dxm/Jw==
|
||||
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==
|
||||
|
||||
pretty-format@30.2.0, pretty-format@^30.0.0:
|
||||
version "30.2.0"
|
||||
@@ -4286,7 +4287,7 @@ semver@^6.3.1:
|
||||
resolved "https://registry.yarnpkg.com/semver/-/semver-6.3.1.tgz#556d2ef8689146e46dcea4bfdd095f3434dffcb4"
|
||||
integrity sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA==
|
||||
|
||||
semver@^7.5.3, semver@^7.5.4, semver@^7.7.2, semver@^7.7.3, semver@^7.7.4:
|
||||
semver@^7.5.3, semver@^7.5.4, semver@^7.7.2, semver@^7.7.3:
|
||||
version "7.7.4"
|
||||
resolved "https://registry.yarnpkg.com/semver/-/semver-7.7.4.tgz#28464e36060e991fa7a11d0279d2d3f3b57a7e8a"
|
||||
integrity sha512-vFKC2IEtQnVhpT78h1Yp8wzwrf8CM+MzKMHGJZfBtzhZNycRFnXsHk6E5TxIkkMsgNS7mdX3AGB7x2QM2di4lA==
|
||||
@@ -4622,18 +4623,18 @@ ts-api-utils@^2.5.0:
|
||||
resolved "https://registry.yarnpkg.com/ts-api-utils/-/ts-api-utils-2.5.0.tgz#4acd4a155e22734990a5ed1fe9e97f113bcb37c1"
|
||||
integrity sha512-OJ/ibxhPlqrMM0UiNHJ/0CKQkoKF243/AEmplt3qpRgkW8VG7IfOS41h7V8TjITqdByHzrjcS/2si+y4lIh8NA==
|
||||
|
||||
ts-jest@^29.4.9:
|
||||
version "29.4.9"
|
||||
resolved "https://registry.yarnpkg.com/ts-jest/-/ts-jest-29.4.9.tgz#47dc33d0f5c36bddcedd16afefae285e0b049d2d"
|
||||
integrity sha512-LTb9496gYPMCqjeDLdPrKuXtncudeV1yRZnF4Wo5l3SFi0RYEnYRNgMrFIdg+FHvfzjCyQk1cLncWVqiSX+EvQ==
|
||||
ts-jest@^29.4.6:
|
||||
version "29.4.6"
|
||||
resolved "https://registry.yarnpkg.com/ts-jest/-/ts-jest-29.4.6.tgz#51cb7c133f227396818b71297ad7409bb77106e9"
|
||||
integrity sha512-fSpWtOO/1AjSNQguk43hb/JCo16oJDnMJf3CdEGNkqsEX3t0KX96xvyX1D7PfLCpVoKu4MfVrqUkFyblYoY4lA==
|
||||
dependencies:
|
||||
bs-logger "^0.2.6"
|
||||
fast-json-stable-stringify "^2.1.0"
|
||||
handlebars "^4.7.9"
|
||||
handlebars "^4.7.8"
|
||||
json5 "^2.2.3"
|
||||
lodash.memoize "^4.1.2"
|
||||
make-error "^1.3.6"
|
||||
semver "^7.7.4"
|
||||
semver "^7.7.3"
|
||||
type-fest "^4.41.0"
|
||||
yargs-parser "^21.1.1"
|
||||
|
||||
@@ -4853,6 +4854,11 @@ uuid@10.0.0, uuid@^10.0.0:
|
||||
resolved "https://registry.yarnpkg.com/uuid/-/uuid-10.0.0.tgz#5a95aa454e6e002725c79055fd42aaba30ca6294"
|
||||
integrity sha512-8XkAphELsDnEGrDxUOHB3RGvXz6TeuYSGEZBOjtTtPm2lwhGBjLgOzLHB63IUWfBpNucQjND6d3AOudO+H3RWQ==
|
||||
|
||||
uuid@^11.1.0:
|
||||
version "11.1.0"
|
||||
resolved "https://registry.yarnpkg.com/uuid/-/uuid-11.1.0.tgz#9549028be1753bb934fc96e2bca09bb4105ae912"
|
||||
integrity sha512-0/A9rDy9P7cJ+8w1c9WD9V//9Wj15Ce2MPz8Ri6032usz+NfePxx5AcN3bN+r6ZL6jEo066/yNYB3tn4pQEx+A==
|
||||
|
||||
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": "^1.1.42",
|
||||
"@langchain/langgraph": "^1.2.9"
|
||||
"@langchain/core": "^1.1.38",
|
||||
"@langchain/langgraph": "^1.2.6"
|
||||
},
|
||||
"devDependencies": {
|
||||
"typescript": "^5.9.3"
|
||||
|
||||
@@ -17,18 +17,18 @@
|
||||
"lint": "eslint 'apps/**/*.ts' 'libs/**/*.ts'"
|
||||
},
|
||||
"devDependencies": {
|
||||
"turbo": "^2.9.7",
|
||||
"turbo": "^2.9.3",
|
||||
"typescript": "^5.9.3",
|
||||
"@tsconfig/recommended": "^1.0.13",
|
||||
"@eslint/eslintrc": "^3.3.5",
|
||||
"@eslint/js": "^10.0.1",
|
||||
"eslint": "^10.2.1",
|
||||
"eslint": "^10.1.0",
|
||||
"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": "^8.59.1",
|
||||
"@typescript-eslint/parser": "^8.59.1",
|
||||
"prettier": "^3.8.3"
|
||||
"@typescript-eslint/eslint-plugin": "^8.58.0",
|
||||
"@typescript-eslint/parser": "^8.58.0",
|
||||
"prettier": "^3.8.1"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -19,26 +19,26 @@
|
||||
resolved "https://registry.yarnpkg.com/@eslint-community/regexpp/-/regexpp-4.12.2.tgz#bccdf615bcf7b6e8db830ec0b8d21c9a25de597b"
|
||||
integrity sha512-EriSTlt5OC9/7SXkRSCAhfSxxoSUgBm33OH+IkwbdpgoqsSsUg7y3uh+IICI/Qg4BBWr3U2i39RpmycbxMq4ew==
|
||||
|
||||
"@eslint/config-array@^0.23.5":
|
||||
version "0.23.5"
|
||||
resolved "https://registry.yarnpkg.com/@eslint/config-array/-/config-array-0.23.5.tgz#56e86d243049195d8acc0c06a1b3dfdc3fa3de95"
|
||||
integrity sha512-Y3kKLvC1dvTOT+oGlqNQ1XLqK6D1HU2YXPc52NmAlJZbMMWDzGYXMiPRJ8TYD39muD/OTjlZmNJ4ib7dvSrMBA==
|
||||
"@eslint/config-array@^0.23.3":
|
||||
version "0.23.3"
|
||||
resolved "https://registry.yarnpkg.com/@eslint/config-array/-/config-array-0.23.3.tgz#3f4a93dd546169c09130cbd10f2415b13a20a219"
|
||||
integrity sha512-j+eEWmB6YYLwcNOdlwQ6L2OsptI/LO6lNBuLIqe5R7RetD658HLoF+Mn7LzYmAWWNNzdC6cqP+L6r8ujeYXWLw==
|
||||
dependencies:
|
||||
"@eslint/object-schema" "^3.0.5"
|
||||
"@eslint/object-schema" "^3.0.3"
|
||||
debug "^4.3.1"
|
||||
minimatch "^10.2.4"
|
||||
|
||||
"@eslint/config-helpers@^0.5.5":
|
||||
version "0.5.5"
|
||||
resolved "https://registry.yarnpkg.com/@eslint/config-helpers/-/config-helpers-0.5.5.tgz#ae16134e4792ac5fbdc533548a24ac1ea9f7f3ae"
|
||||
integrity sha512-eIJYKTCECbP/nsKaaruF6LW967mtbQbsw4JTtSVkUQc9MneSkbrgPJAbKl9nWr0ZeowV8BfsarBmPpBzGelA2w==
|
||||
"@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"
|
||||
integrity sha512-lzGN0onllOZCGroKJmRwY6QcEHxbjBw1gwB8SgRSqK8YbbtEXMvKynsXc3553ckIEBxsbMBU7oOZXKIPGZNeZw==
|
||||
dependencies:
|
||||
"@eslint/core" "^1.2.1"
|
||||
"@eslint/core" "^1.1.1"
|
||||
|
||||
"@eslint/core@^1.2.1":
|
||||
version "1.2.1"
|
||||
resolved "https://registry.yarnpkg.com/@eslint/core/-/core-1.2.1.tgz#c1da7cd1b82fa8787f98b5629fb811848a1b63ce"
|
||||
integrity sha512-MwcE1P+AZ4C6DWlpin/OmOA54mmIZ/+xZuJiQd4SyB29oAJjN30UW9wkKNptW2ctp4cEsvhlLY/CsQ1uoHDloQ==
|
||||
"@eslint/core@^1.1.1":
|
||||
version "1.1.1"
|
||||
resolved "https://registry.yarnpkg.com/@eslint/core/-/core-1.1.1.tgz#450f3d2be2d463ccd51119544092256b4e88df32"
|
||||
integrity sha512-QUPblTtE51/7/Zhfv8BDwO0qkkzQL7P/aWWbqcf4xWLEYn1oKjdO0gglQBB4GAsu7u6wjijbCmzsUTy6mnk6oQ==
|
||||
dependencies:
|
||||
"@types/json-schema" "^7.0.15"
|
||||
|
||||
@@ -62,17 +62,17 @@
|
||||
resolved "https://registry.yarnpkg.com/@eslint/js/-/js-10.0.1.tgz#1e8a876f50117af8ab67e47d5ad94d38d6622583"
|
||||
integrity sha512-zeR9k5pd4gxjZ0abRoIaxdc7I3nDktoXZk2qOv9gCNWx3mVwEn32VRhyLaRsDiJjTs0xq/T8mfPtyuXu7GWBcA==
|
||||
|
||||
"@eslint/object-schema@^3.0.5":
|
||||
version "3.0.5"
|
||||
resolved "https://registry.yarnpkg.com/@eslint/object-schema/-/object-schema-3.0.5.tgz#88e9bf4d11d2b19c082e78ebe7ce88724a5eb091"
|
||||
integrity sha512-vqTaUEgxzm+YDSdElad6PiRoX4t8VGDjCtt05zn4nU810UIx/uNEV7/lZJ6KwFThKZOzOxzXy48da+No7HZaMw==
|
||||
"@eslint/object-schema@^3.0.3":
|
||||
version "3.0.3"
|
||||
resolved "https://registry.yarnpkg.com/@eslint/object-schema/-/object-schema-3.0.3.tgz#5bf671e52e382e4adc47a9906f2699374637db6b"
|
||||
integrity sha512-iM869Pugn9Nsxbh/YHRqYiqd23AmIbxJOcpUMOuWCVNdoQJ5ZtwL6h3t0bcZzJUlC3Dq9jCFCESBZnX0GTv7iQ==
|
||||
|
||||
"@eslint/plugin-kit@^0.7.1":
|
||||
version "0.7.1"
|
||||
resolved "https://registry.yarnpkg.com/@eslint/plugin-kit/-/plugin-kit-0.7.1.tgz#c4125fd015eceeb09b793109fdbcd4dd0a02d346"
|
||||
integrity sha512-rZAP3aVgB9ds9KOeUSL+zZ21hPmo8dh6fnIFwRQj5EAZl9gzR7wxYbYXYysAM8CTqGmUGyp2S4kUdV17MnGuWQ==
|
||||
"@eslint/plugin-kit@^0.6.1":
|
||||
version "0.6.1"
|
||||
resolved "https://registry.yarnpkg.com/@eslint/plugin-kit/-/plugin-kit-0.6.1.tgz#eb9e6689b56ce8bc1855bb33090e63f3fc115e8e"
|
||||
integrity sha512-iH1B076HoAshH1mLpHMgwdGeTs0CYwL0SPMkGuSebZrwBp16v415e9NZXg2jtrqPVQjf6IANe2Vtlr5KswtcZQ==
|
||||
dependencies:
|
||||
"@eslint/core" "^1.2.1"
|
||||
"@eslint/core" "^1.1.1"
|
||||
levn "^0.4.1"
|
||||
|
||||
"@humanfs/core@^0.19.1":
|
||||
@@ -103,10 +103,10 @@
|
||||
resolved "https://registry.yarnpkg.com/@isaacs/cliui/-/cliui-9.0.0.tgz#4d0a3f127058043bf2e7ee169eaf30ed901302f3"
|
||||
integrity sha512-AokJm4tuBHillT+FpMtxQ60n8ObyXBatq7jD2/JA9dxbDDokKQm8KMht5ibGzLVU9IJDIKK4TPKgMHEYMn3lMg==
|
||||
|
||||
"@langchain/core@^1.1.42":
|
||||
version "1.1.42"
|
||||
resolved "https://registry.yarnpkg.com/@langchain/core/-/core-1.1.42.tgz#607bfd34c1414c9cbeb2859fda1b254a14c28085"
|
||||
integrity sha512-d0tN96BrwPMryYyWR9VfyAntSivn7EQrZCe5Kpxum93tcjTXbKKmKvItFec8AluQt88iTcmAJrahUZUNfzGwTA==
|
||||
"@langchain/core@^1.1.38":
|
||||
version "1.1.38"
|
||||
resolved "https://registry.yarnpkg.com/@langchain/core/-/core-1.1.38.tgz#b5939b2e77af408771c9bb95bf56a5ad8183313e"
|
||||
integrity sha512-C340wH1YL10CiVOFlEpQMp0zQE85/eBLKX/gi1Lv7shAyUmR3CQ0t/mXlCd5RsZa6ntAN1kDJnp64ArWey9XAA==
|
||||
dependencies:
|
||||
"@cfworker/json-schema" "^4.0.2"
|
||||
"@standard-schema/spec" "^1.1.0"
|
||||
@@ -117,6 +117,7 @@
|
||||
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":
|
||||
@@ -126,23 +127,23 @@
|
||||
dependencies:
|
||||
uuid "^10.0.0"
|
||||
|
||||
"@langchain/langgraph-sdk@~1.8.9":
|
||||
version "1.8.10"
|
||||
resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-1.8.10.tgz#bd175cda1ab629845ef28b22b45f3bdd1f65b029"
|
||||
integrity sha512-wrB3rkRw5KAmsqezwvKP3midT4qJrV6Hj9XJMYo+cbvXC4HYpSAmyY/VriSyeTFRbLG/OP/pY2Yz+9Z54nSaXQ==
|
||||
"@langchain/langgraph-sdk@~1.8.1":
|
||||
version "1.8.3"
|
||||
resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-1.8.3.tgz#deedc9bddd863693c6ab5f3a74058548b040377d"
|
||||
integrity sha512-Py0S5yVtlOHz410aEsSGLRKjtsK2giDvfPS1JjAjTdcs71khuJufFtUZFwmwdJCbsG4DaGurRLHOAJu9jO4a0g==
|
||||
dependencies:
|
||||
"@types/json-schema" "^7.0.15"
|
||||
p-queue "^9.0.1"
|
||||
p-retry "^7.1.1"
|
||||
uuid "^13.0.0"
|
||||
|
||||
"@langchain/langgraph@^1.2.9":
|
||||
version "1.2.9"
|
||||
resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-1.2.9.tgz#4f0ba159062c3649c83cf5f621ef926b96933e32"
|
||||
integrity sha512-3c7BtGycHC2v9p6w/Hv8L7kEl1YnZYOQTDJtmAp3knk6JOedO7d2bYP3y0SRyhv5orUEGf/KGvx8ZsB/ideP7g==
|
||||
"@langchain/langgraph@^1.2.6":
|
||||
version "1.2.6"
|
||||
resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-1.2.6.tgz#e6a578f96fbbc1c54ba78e0298884671dad5d195"
|
||||
integrity sha512-5cX402dNGN6w9+0mlMU2dgUiKx6Y1tlENp7x05e9ByDbQCHSDc0kyqRWNFLGc7vatQ92S4ylxQrcCJvi8Fr4SQ==
|
||||
dependencies:
|
||||
"@langchain/langgraph-checkpoint" "^1.0.1"
|
||||
"@langchain/langgraph-sdk" "~1.8.9"
|
||||
"@langchain/langgraph-sdk" "~1.8.1"
|
||||
"@standard-schema/spec" "1.1.0"
|
||||
uuid "^10.0.0"
|
||||
|
||||
@@ -166,35 +167,35 @@
|
||||
resolved "https://registry.yarnpkg.com/@tsconfig/recommended/-/recommended-1.0.13.tgz#269fce3ad04ca70b93269ff44cca81b950f542da"
|
||||
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|
||||
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@@ -786,17 +787,17 @@ 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"
|
||||
integrity sha512-tD40eHxA35h0PEIZNeIjkHoDR4YjjJp34biM0mDvplBe//mB+IHCqHDGV7pxF+7MklTvighcCPPZC7ynWyjdTA==
|
||||
|
||||
eslint@^10.2.1:
|
||||
version "10.2.1"
|
||||
resolved "https://registry.yarnpkg.com/eslint/-/eslint-10.2.1.tgz#224b2a6caeb34473eddcf918762363e2e063222a"
|
||||
integrity sha512-wiyGaKsDgqXvF40P8mDwiUp/KQjE1FdrIEJsM8PZ3XCiniTMXS3OHWWUe5FI5agoCnr8x4xPrTDZuxsBlNHl+Q==
|
||||
eslint@^10.1.0:
|
||||
version "10.1.0"
|
||||
resolved "https://registry.yarnpkg.com/eslint/-/eslint-10.1.0.tgz#9ca98e654e642ab2e1af6d1e9d8613857ac341b4"
|
||||
integrity sha512-S9jlY/ELKEUwwQnqWDO+f+m6sercqOPSqXM5Go94l7DOmxHVDgmSFGWEzeE/gwgTAr0W103BWt0QLe/7mabIvA==
|
||||
dependencies:
|
||||
"@eslint-community/eslint-utils" "^4.8.0"
|
||||
"@eslint-community/regexpp" "^4.12.2"
|
||||
"@eslint/config-array" "^0.23.5"
|
||||
"@eslint/config-helpers" "^0.5.5"
|
||||
"@eslint/core" "^1.2.1"
|
||||
"@eslint/plugin-kit" "^0.7.1"
|
||||
"@eslint/config-array" "^0.23.3"
|
||||
"@eslint/config-helpers" "^0.5.3"
|
||||
"@eslint/core" "^1.1.1"
|
||||
"@eslint/plugin-kit" "^0.6.1"
|
||||
"@humanfs/node" "^0.16.6"
|
||||
"@humanwhocodes/module-importer" "^1.0.1"
|
||||
"@humanwhocodes/retry" "^0.4.2"
|
||||
@@ -1558,10 +1559,10 @@ prettier-linter-helpers@^1.0.1:
|
||||
dependencies:
|
||||
fast-diff "^1.1.2"
|
||||
|
||||
prettier@^3.8.3:
|
||||
version "3.8.3"
|
||||
resolved "https://registry.yarnpkg.com/prettier/-/prettier-3.8.3.tgz#560f2de55bf01b4c0503bc629d5df99b9a1d09b0"
|
||||
integrity sha512-7igPTM53cGHMW8xWuVTydi2KO233VFiTNyF5hLJqpilHfmn8C8gPf+PS7dUT64YcXFbiMGZxS9pCSxL/Dxm/Jw==
|
||||
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==
|
||||
|
||||
punycode@^2.1.0:
|
||||
version "2.3.1"
|
||||
@@ -1814,17 +1815,17 @@ tsconfig-paths@^3.15.0:
|
||||
minimist "^1.2.6"
|
||||
strip-bom "^3.0.0"
|
||||
|
||||
turbo@^2.9.7:
|
||||
version "2.9.7"
|
||||
resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.9.7.tgz#da6d5a821f0bde5174e1a55af6690dad5c2fb004"
|
||||
integrity sha512-epxzqVO2s0IxcSWcgb+qKrtco8isfe7g3VtiS6hkYnEK4A9XQDZbrtavQ6MtWR1KoQn+1fUomaQth2rfRHlUlg==
|
||||
turbo@^2.9.3:
|
||||
version "2.9.3"
|
||||
resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.9.3.tgz#4f0adf2c8677edd7b46d400629c99e9e26e58e44"
|
||||
integrity sha512-J/VUvsGRykPb9R8Kh8dHVBOqioDexLk9BhLCU/ZybRR+HN9UR3cURdazFvNgMDt9zPP8TF6K73Z+tplfmi0PqQ==
|
||||
optionalDependencies:
|
||||
"@turbo/darwin-64" "2.9.7"
|
||||
"@turbo/darwin-arm64" "2.9.7"
|
||||
"@turbo/linux-64" "2.9.7"
|
||||
"@turbo/linux-arm64" "2.9.7"
|
||||
"@turbo/windows-64" "2.9.7"
|
||||
"@turbo/windows-arm64" "2.9.7"
|
||||
"@turbo/darwin-64" "2.9.3"
|
||||
"@turbo/darwin-arm64" "2.9.3"
|
||||
"@turbo/linux-64" "2.9.3"
|
||||
"@turbo/linux-arm64" "2.9.3"
|
||||
"@turbo/windows-64" "2.9.3"
|
||||
"@turbo/windows-arm64" "2.9.3"
|
||||
|
||||
type-check@^0.4.0, type-check@~0.4.0:
|
||||
version "0.4.0"
|
||||
@@ -1905,6 +1906,11 @@ uuid@10.0.0, uuid@^10.0.0:
|
||||
resolved "https://registry.yarnpkg.com/uuid/-/uuid-10.0.0.tgz#5a95aa454e6e002725c79055fd42aaba30ca6294"
|
||||
integrity sha512-8XkAphELsDnEGrDxUOHB3RGvXz6TeuYSGEZBOjtTtPm2lwhGBjLgOzLHB63IUWfBpNucQjND6d3AOudO+H3RWQ==
|
||||
|
||||
uuid@^11.1.0:
|
||||
version "11.1.0"
|
||||
resolved "https://registry.yarnpkg.com/uuid/-/uuid-11.1.0.tgz#9549028be1753bb934fc96e2bca09bb4105ae912"
|
||||
integrity sha512-0/A9rDy9P7cJ+8w1c9WD9V//9Wj15Ce2MPz8Ri6032usz+NfePxx5AcN3bN+r6ZL6jEo066/yNYB3tn4pQEx+A==
|
||||
|
||||
uuid@^13.0.0:
|
||||
version "13.0.0"
|
||||
resolved "https://registry.yarnpkg.com/uuid/-/uuid-13.0.0.tgz#263dc341b19b4d755eb8fe36b78d95a6b65707e8"
|
||||
|
||||
@@ -115,172 +115,6 @@ class BuildResult:
|
||||
show_build_logs_on_failure: bool = False
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Structured output emitter
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
_emitter: "_Emitter | None" = None
|
||||
_no_input: bool = False
|
||||
|
||||
|
||||
class _Emitter:
|
||||
"""Dual-mode output: JSON-lines (``--json``) or human-readable click text."""
|
||||
|
||||
def __init__(self, json_mode: bool) -> None:
|
||||
self._json = json_mode
|
||||
|
||||
@property
|
||||
def json_mode(self) -> bool:
|
||||
return self._json
|
||||
|
||||
# -- Structured event helpers ------------------------------------------
|
||||
|
||||
def step(self, step: int, message: str, **extra: object) -> None:
|
||||
if self._json:
|
||||
self._write({"event": "step", "step": step, "message": message, **extra})
|
||||
else:
|
||||
click.secho(f"{step}. {message}", fg="cyan")
|
||||
|
||||
def info(self, message: str, **extra: object) -> None:
|
||||
if self._json:
|
||||
self._write({"event": "info", "message": message, **extra})
|
||||
else:
|
||||
click.secho(f" {message}", fg="green")
|
||||
|
||||
def warn(self, message: str, **extra: object) -> None:
|
||||
"""Warning nested under a step. Text mode indents; JSON mode strips leading whitespace."""
|
||||
if self._json:
|
||||
self._write({"event": "warn", "message": message.lstrip(), **extra})
|
||||
else:
|
||||
click.secho(f" {message}", fg="yellow")
|
||||
|
||||
def note(self, message: str, **extra: object) -> None:
|
||||
"""Top-level banner (pre-step). Text mode does not indent."""
|
||||
if self._json:
|
||||
self._write({"event": "note", "message": message, **extra})
|
||||
else:
|
||||
click.secho(message, fg="yellow")
|
||||
|
||||
def error(self, message: str, **extra: object) -> None:
|
||||
if self._json:
|
||||
self._write({"event": "error", "message": message, **extra})
|
||||
else:
|
||||
click.secho(f" {message}", fg="red")
|
||||
|
||||
def status_change(
|
||||
self,
|
||||
status: str,
|
||||
elapsed_seconds: float,
|
||||
finished: bool = False,
|
||||
) -> None:
|
||||
mins, secs = divmod(int(elapsed_seconds), 60)
|
||||
elapsed_str = f"{mins}m {secs:02d}s" if mins else f"{secs}s"
|
||||
if self._json:
|
||||
self._write(
|
||||
{
|
||||
"event": "status_change",
|
||||
"status": status,
|
||||
"elapsed_seconds": round(elapsed_seconds, 1),
|
||||
"message": f"{status}... ({elapsed_str})",
|
||||
}
|
||||
)
|
||||
else:
|
||||
click.echo(f" {status}... ({elapsed_str})")
|
||||
|
||||
def log(self, message: str) -> None:
|
||||
if self._json:
|
||||
self._write({"event": "log", "message": message})
|
||||
else:
|
||||
click.echo(f" | {message}")
|
||||
|
||||
def status_url(self, url: str) -> None:
|
||||
if self._json:
|
||||
self._write({"event": "status_url", "url": url})
|
||||
else:
|
||||
click.secho(f" View status: {url}", fg="cyan")
|
||||
|
||||
def result(
|
||||
self,
|
||||
status: str,
|
||||
*,
|
||||
deployment_id: str,
|
||||
url: str | None = None,
|
||||
status_url: str | None = None,
|
||||
fallback_status_message: str | None = None,
|
||||
) -> None:
|
||||
if self._json:
|
||||
if status == "succeeded":
|
||||
message = "Deployment successful!"
|
||||
elif status == "failed":
|
||||
message = "Deployment failed"
|
||||
else:
|
||||
message = "Timed out waiting for deployment."
|
||||
payload: dict = {
|
||||
"event": "result",
|
||||
"status": status,
|
||||
"deployment_id": deployment_id,
|
||||
"message": message,
|
||||
}
|
||||
if url:
|
||||
payload["url"] = url
|
||||
if status_url:
|
||||
payload["status_url"] = status_url
|
||||
self._write(payload)
|
||||
else:
|
||||
if status == "succeeded":
|
||||
click.secho(" Deployment successful!", fg="green")
|
||||
if url:
|
||||
click.secho(f" URL: {url}", fg="green")
|
||||
if status_url:
|
||||
click.secho(f" View status: {status_url}", fg="green")
|
||||
elif status == "failed":
|
||||
click.secho(" Deployment failed", fg="red")
|
||||
if status_url:
|
||||
click.secho(f" View status: {status_url}", fg="red")
|
||||
elif status == "timed_out":
|
||||
click.secho(" Timed out waiting for deployment.", fg="yellow")
|
||||
if status_url:
|
||||
click.secho(f" Check status at: {status_url}", fg="yellow")
|
||||
elif fallback_status_message:
|
||||
click.secho(f" {fallback_status_message}", fg="yellow")
|
||||
|
||||
def heartbeat(self, status: str, elapsed_seconds: float) -> None:
|
||||
if self._json:
|
||||
mins, secs = divmod(int(elapsed_seconds), 60)
|
||||
elapsed_str = f"{mins}m {secs:02d}s" if mins else f"{secs}s"
|
||||
self._write(
|
||||
{
|
||||
"event": "heartbeat",
|
||||
"status": status,
|
||||
"elapsed_seconds": round(elapsed_seconds, 1),
|
||||
"message": f"{status}... ({elapsed_str})",
|
||||
}
|
||||
)
|
||||
|
||||
def upload_progress(self, size_mb: float, pct: int) -> None:
|
||||
if self._json:
|
||||
self._write(
|
||||
{
|
||||
"event": "upload_progress",
|
||||
"size_mb": round(size_mb, 1),
|
||||
"pct": pct,
|
||||
}
|
||||
)
|
||||
else:
|
||||
click.echo(f"\r Uploading ({size_mb:.1f} MB)... {pct}%", nl=False)
|
||||
|
||||
def _write(self, obj: dict) -> None:
|
||||
import sys as _sys
|
||||
|
||||
_sys.stdout.write(json_mod.dumps(obj, default=str) + "\n")
|
||||
_sys.stdout.flush()
|
||||
|
||||
|
||||
def _get_emitter() -> _Emitter:
|
||||
"""Return the module-level emitter (falls back to text mode)."""
|
||||
return _emitter or _Emitter(json_mode=False)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Validators
|
||||
# ---------------------------------------------------------------------------
|
||||
@@ -338,16 +172,15 @@ def find_deployment_id_by_name(
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def normalize_name(value: str | None) -> str:
|
||||
"""Sanitize a deployment/directory name into a valid deployment name.
|
||||
def normalize_image_name(value: str | None) -> str:
|
||||
"""Sanitize a deployment/directory name into a valid Docker repository name.
|
||||
|
||||
LangSmith Deployment names only allow lowercase
|
||||
alphanumeric characters and hyphens ([a-z0-9-]).
|
||||
Invalid characters are replaced with hyphens.
|
||||
Docker repository names must be lowercase and may only contain
|
||||
[a-z0-9._-]. Invalid characters are replaced with hyphens.
|
||||
"""
|
||||
if not value:
|
||||
return "app"
|
||||
slug = re.sub(r"[^a-z0-9-]+", "-", value.lower()).strip("-")
|
||||
slug = re.sub(r"[^a-z0-9._-]+", "-", value.lower()).strip("-.")
|
||||
return slug or "app"
|
||||
|
||||
|
||||
@@ -474,8 +307,9 @@ def _resolve_env_path(
|
||||
if isinstance(env_field, str):
|
||||
env_path = (config_path.parent / env_field).resolve()
|
||||
if not env_path.exists():
|
||||
_get_emitter().note(
|
||||
f"Warning: env file '{env_field}' specified in langgraph.json not found."
|
||||
click.secho(
|
||||
f"Warning: env file '{env_field}' specified in langgraph.json not found.",
|
||||
fg="yellow",
|
||||
)
|
||||
return None
|
||||
return env_path
|
||||
@@ -509,7 +343,7 @@ def _secrets_from_env(
|
||||
secrets: list[dict[str, str]] = []
|
||||
for name, value in env_vars.items():
|
||||
if name in RESERVED_ENV_VARS:
|
||||
_get_emitter().note(f"Skipping reserved env var: {name}")
|
||||
click.secho(f" Skipping reserved env var: {name}", fg="yellow")
|
||||
continue
|
||||
if not value:
|
||||
continue
|
||||
@@ -552,8 +386,8 @@ def _resolve_build_mode(
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def _log_deploy_step(step: int, message: str, **extra: object) -> None:
|
||||
_get_emitter().step(step, message, **extra)
|
||||
def _log_deploy_step(step: int, message: str) -> None:
|
||||
click.secho(f"{step}. {message}", fg="cyan")
|
||||
|
||||
|
||||
def _resolve_deployment(
|
||||
@@ -577,13 +411,12 @@ def _resolve_deployment(
|
||||
found_id = _call_host_backend_with_optional_tenant(
|
||||
client, lambda c: find_deployment_id_by_name(c, name)
|
||||
)
|
||||
em = _get_emitter()
|
||||
if found_id:
|
||||
deployment_id = str(found_id)
|
||||
em.info(f"Found existing deployment (ID: {deployment_id})")
|
||||
click.secho(f" Found existing deployment (ID: {deployment_id})", fg="green")
|
||||
else:
|
||||
needs_creation = True
|
||||
em.warn(not_found_message)
|
||||
click.secho(not_found_message, fg="yellow")
|
||||
return deployment_id, needs_creation, step + 1
|
||||
|
||||
|
||||
@@ -611,7 +444,7 @@ def _create_deployment(
|
||||
raise HostBackendError(
|
||||
"POST /v2/deployments succeeded but response missing a valid 'id'"
|
||||
)
|
||||
_get_emitter().info(f"Deployment ID: {created_id}", deployment_id=created_id)
|
||||
click.secho(f" Deployment ID: {created_id}", fg="green")
|
||||
return created_id, step + 1
|
||||
|
||||
|
||||
@@ -625,36 +458,21 @@ def _smith_dashboard_base_url(host_url: str | None) -> str:
|
||||
hostname = parsed.hostname or ""
|
||||
if hostname in ("localhost", "127.0.0.1"):
|
||||
return host_url.rstrip("/")
|
||||
|
||||
api_host_suffix = "api.host.langchain.com"
|
||||
if hostname == api_host_suffix:
|
||||
return "https://smith.langchain.com"
|
||||
if hostname.endswith(f".{api_host_suffix}"):
|
||||
prefix = hostname[: -(len(api_host_suffix) + 1)]
|
||||
return f"https://{prefix}.smith.langchain.com"
|
||||
|
||||
if hostname.startswith("eu."):
|
||||
return "https://eu.smith.langchain.com"
|
||||
return "https://smith.langchain.com"
|
||||
|
||||
|
||||
def _get_deployment_status_url(
|
||||
def _print_deployment_status_url(
|
||||
updated: object, deployment_id: str, host_url: str | None = None
|
||||
) -> str | None:
|
||||
"""Compute the LangSmith dashboard URL for a deployment, if possible."""
|
||||
) -> None:
|
||||
"""Print the deployment status URL when tenant metadata is available."""
|
||||
tenant_id = updated.get("tenant_id") if isinstance(updated, dict) else None
|
||||
if not tenant_id:
|
||||
return None
|
||||
return
|
||||
base = _smith_dashboard_base_url(host_url)
|
||||
return f"{base}/o/{tenant_id}/host/deployments/{deployment_id}"
|
||||
|
||||
|
||||
def _emit_deployment_status_url(
|
||||
updated: object, deployment_id: str, host_url: str | None = None
|
||||
) -> str | None:
|
||||
"""Emit the deployment status URL and return it."""
|
||||
url = _get_deployment_status_url(updated, deployment_id, host_url)
|
||||
if url:
|
||||
_get_emitter().status_url(url)
|
||||
return url
|
||||
status_url = f"{base}/o/{tenant_id}/host/deployments/{deployment_id}"
|
||||
click.secho(f" View status: {status_url}", fg="cyan")
|
||||
|
||||
|
||||
def _poll_revision_status(
|
||||
@@ -668,7 +486,6 @@ def _poll_revision_status(
|
||||
on_interrupt: Callable[[str], None] | None = None,
|
||||
) -> tuple[str, str | None]:
|
||||
"""Poll latest revision status until terminal status or timeout."""
|
||||
em = _get_emitter()
|
||||
revisions_resp = client.list_revisions(deployment_id, limit=1)
|
||||
resources = (
|
||||
revisions_resp.get("resources", []) if isinstance(revisions_resp, dict) else []
|
||||
@@ -680,11 +497,7 @@ def _poll_revision_status(
|
||||
last_status = ""
|
||||
deadline = time.time() + timeout_seconds
|
||||
start_time = time.monotonic()
|
||||
last_heartbeat = start_time
|
||||
json_mode = em.json_mode
|
||||
with Progress(
|
||||
message=progress_message, elapsed=True, json_mode=json_mode
|
||||
) as set_progress:
|
||||
with Progress(message=progress_message, elapsed=True) as set_progress:
|
||||
while time.time() < deadline:
|
||||
try:
|
||||
rev = client.get_revision(deployment_id, revision_id)
|
||||
@@ -701,15 +514,14 @@ def _poll_revision_status(
|
||||
if status != last_status:
|
||||
set_progress("")
|
||||
if last_status:
|
||||
em.status_change(last_status, time.monotonic() - start_time)
|
||||
elapsed = time.monotonic() - start_time
|
||||
mins, secs = divmod(int(elapsed), 60)
|
||||
elapsed_str = f"{mins}m {secs:02d}s" if mins else f"{secs}s"
|
||||
click.echo(f" {last_status}... ({elapsed_str})")
|
||||
last_status = status
|
||||
if status in _TERMINAL_STATUSES:
|
||||
break
|
||||
set_progress(f"{status}...")
|
||||
last_heartbeat = time.monotonic()
|
||||
elif json_mode and time.monotonic() - last_heartbeat > 10:
|
||||
em.heartbeat(last_status, time.monotonic() - start_time)
|
||||
last_heartbeat = time.monotonic()
|
||||
|
||||
if on_poll is not None:
|
||||
on_poll(status, revision_id, set_progress)
|
||||
@@ -726,10 +538,8 @@ def _print_deployment_result(
|
||||
last_status: str,
|
||||
*,
|
||||
dashboard_label: str,
|
||||
status_url: str | None = None,
|
||||
) -> None:
|
||||
"""Print final deployment status and raise on failure."""
|
||||
em = _get_emitter()
|
||||
dep_info = client.get_deployment(deployment_id)
|
||||
custom_url = None
|
||||
if isinstance(dep_info, dict):
|
||||
@@ -738,28 +548,24 @@ def _print_deployment_result(
|
||||
custom_url = sc.get("custom_url")
|
||||
|
||||
if last_status == "DEPLOYED":
|
||||
em.result(
|
||||
"succeeded",
|
||||
deployment_id=deployment_id,
|
||||
url=custom_url,
|
||||
status_url=status_url,
|
||||
)
|
||||
click.secho(" Deployment successful!", fg="green")
|
||||
if custom_url:
|
||||
click.secho(f" URL: {custom_url}", fg="green")
|
||||
elif last_status in ("BUILD_FAILED", "DEPLOY_FAILED", "CREATE_FAILED"):
|
||||
em.result(
|
||||
"failed",
|
||||
deployment_id=deployment_id,
|
||||
status_url=status_url,
|
||||
)
|
||||
click.secho(f" Deployment failed: {last_status}", fg="red")
|
||||
raise click.exceptions.Exit(1)
|
||||
else:
|
||||
em.result(
|
||||
"timed_out",
|
||||
deployment_id=deployment_id,
|
||||
status_url=status_url,
|
||||
fallback_status_message=(
|
||||
f"Check status in the LangSmith {dashboard_label}."
|
||||
),
|
||||
click.secho(
|
||||
f" Timed out waiting for deployment (last status: {last_status}).",
|
||||
fg="yellow",
|
||||
)
|
||||
if custom_url:
|
||||
click.secho(f" Check status at: {custom_url}", fg="yellow")
|
||||
else:
|
||||
click.secho(
|
||||
f" Check status in the LangSmith {dashboard_label}.",
|
||||
fg="yellow",
|
||||
)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
@@ -788,16 +594,14 @@ def _docker_config_for_token(registry_host: str, token: str):
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
_UPLOAD_TIMEOUT_SECONDS = 300
|
||||
_BYTES_PER_MIB = 1_048_576
|
||||
|
||||
|
||||
class _ProgressReader:
|
||||
"""File-like wrapper that reports upload progress via the emitter."""
|
||||
"""File-like wrapper that displays upload progress via click."""
|
||||
|
||||
def __init__(self, fobj, file_size: int, emitter: "_Emitter"):
|
||||
def __init__(self, fobj, file_size: int):
|
||||
self._fobj = fobj
|
||||
self._file_size = file_size
|
||||
self._emitter = emitter
|
||||
self._uploaded = 0
|
||||
|
||||
def read(self, size=-1):
|
||||
@@ -807,7 +611,10 @@ class _ProgressReader:
|
||||
pct = (
|
||||
int(self._uploaded * 100 / self._file_size) if self._file_size else 100
|
||||
)
|
||||
self._emitter.upload_progress(self._file_size / _BYTES_PER_MIB, pct)
|
||||
click.echo(
|
||||
f"\r Uploading ({self._file_size / 1_048_576:.1f} MB)... {pct}%",
|
||||
nl=False,
|
||||
)
|
||||
return data
|
||||
|
||||
def __len__(self):
|
||||
@@ -819,13 +626,10 @@ def _upload_to_gcs(signed_url: str, file_path: str, file_size: int) -> None:
|
||||
import urllib.error
|
||||
import urllib.request
|
||||
|
||||
em = _get_emitter()
|
||||
|
||||
with open(file_path, "rb") as f:
|
||||
reader = _ProgressReader(f, file_size, em)
|
||||
req = urllib.request.Request(
|
||||
signed_url,
|
||||
data=reader,
|
||||
data=_ProgressReader(f, file_size),
|
||||
method="PUT",
|
||||
headers={
|
||||
"Content-Type": "application/gzip",
|
||||
@@ -840,8 +644,7 @@ def _upload_to_gcs(signed_url: str, file_path: str, file_size: int) -> None:
|
||||
raise click.ClickException(
|
||||
f"Upload failed with status {err.code}: {detail}"
|
||||
) from None
|
||||
if not em.json_mode:
|
||||
click.echo()
|
||||
click.echo()
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
@@ -949,7 +752,7 @@ def _run_local_build(
|
||||
if "://" in normalized_registry:
|
||||
normalized_registry = normalized_registry.split("//", 1)[1]
|
||||
repo_seed = image_name or name or config.parent.name
|
||||
repo_name = normalize_name(repo_seed)
|
||||
repo_name = normalize_image_name(repo_seed)
|
||||
tag_value = normalize_image_tag(tag)
|
||||
remote_image = f"{normalized_registry}/{repo_name}:{tag_value}"
|
||||
|
||||
@@ -1008,8 +811,9 @@ def _run_local_build(
|
||||
break
|
||||
except click.exceptions.Exit:
|
||||
if attempt < max_push_retries - 1:
|
||||
_get_emitter().warn(
|
||||
f" Push failed, retrying (attempt {attempt + 2} of {max_push_retries})..."
|
||||
click.secho(
|
||||
f" Push failed, retrying (attempt {attempt + 2} of {max_push_retries})...",
|
||||
fg="yellow",
|
||||
)
|
||||
else:
|
||||
raise
|
||||
@@ -1043,10 +847,9 @@ def _run_remote_build(
|
||||
"""Upload source tarball and trigger a remote build."""
|
||||
from langgraph_cli.archive import create_archive
|
||||
|
||||
em = _get_emitter()
|
||||
_log_deploy_step(step, "Creating source archive")
|
||||
with create_archive(config, config_json) as (archive_path, file_size, config_rel):
|
||||
em.info(f"Archive created ({file_size / _BYTES_PER_MIB:.1f} MB)")
|
||||
click.secho(f" Archive created ({file_size / 1_048_576:.1f} MB)", fg="green")
|
||||
step += 1
|
||||
|
||||
_log_deploy_step(step, "Requesting upload URL")
|
||||
@@ -1094,12 +897,12 @@ def _run_remote_build(
|
||||
if has_output:
|
||||
set_progress("")
|
||||
if not logs_header_printed:
|
||||
em.info(f"{status} (build logs):")
|
||||
click.echo(f" {status} (build logs):")
|
||||
logs_header_printed = True
|
||||
for entry in entries:
|
||||
msg = entry.get("message", "")
|
||||
if msg:
|
||||
em.log(msg)
|
||||
click.echo(f" | {msg}")
|
||||
log_offset = logs_resp.get("next_offset") or log_offset
|
||||
if has_output:
|
||||
set_progress(f"{status}...")
|
||||
@@ -1107,10 +910,11 @@ def _run_remote_build(
|
||||
pass
|
||||
|
||||
def _handle_interrupt(revision_id: str) -> None:
|
||||
em.warn(
|
||||
f"\nInterrupted. Deployment ID: {deployment_id}, Revision ID: {revision_id}"
|
||||
click.secho(
|
||||
f"\n Interrupted. Deployment ID: {deployment_id}, Revision ID: {revision_id}",
|
||||
fg="yellow",
|
||||
)
|
||||
em.warn("The build will continue remotely.")
|
||||
click.secho(" The build will continue remotely.", fg="yellow")
|
||||
|
||||
return BuildResult(
|
||||
updated=updated if isinstance(updated, dict) else {},
|
||||
@@ -1148,20 +952,12 @@ def _create_host_backend_client(
|
||||
resolved_api_key = val
|
||||
break
|
||||
if not resolved_api_key:
|
||||
if _no_input:
|
||||
raise click.ClickException(
|
||||
"No LangSmith API key found. Set LANGSMITH_API_KEY in the "
|
||||
"environment or .env file."
|
||||
)
|
||||
click.secho(
|
||||
"No LangSmith API key found. Create one at Settings > API Keys in LangSmith.",
|
||||
fg="yellow",
|
||||
)
|
||||
resolved_api_key = click.prompt("Enter LangSmith API key", hide_input=True)
|
||||
tenant_id = env_vars.get("LANGSMITH_TENANT_ID") or os.environ.get(
|
||||
"LANGSMITH_TENANT_ID"
|
||||
)
|
||||
return HostBackendClient(host_url, resolved_api_key, tenant_id=tenant_id)
|
||||
return HostBackendClient(host_url, resolved_api_key)
|
||||
|
||||
|
||||
def _call_host_backend_with_optional_tenant(
|
||||
@@ -1186,12 +982,6 @@ def _call_host_backend_with_optional_tenant(
|
||||
and err.status_code == 403
|
||||
and "requires workspace specification" in err.message
|
||||
):
|
||||
if _no_input:
|
||||
raise click.ClickException(
|
||||
"API key is org-scoped and requires a workspace ID. "
|
||||
"Set LANGSMITH_TENANT_ID in your .env file or "
|
||||
"use a workspace-scoped API key."
|
||||
) from None
|
||||
click.secho(
|
||||
"Your API key is org-scoped and requires a workspace ID.",
|
||||
fg="yellow",
|
||||
@@ -1399,19 +1189,6 @@ def _deploy_base_options(
|
||||
"if Docker is not available locally."
|
||||
),
|
||||
),
|
||||
click.option(
|
||||
"--json",
|
||||
"json_output",
|
||||
is_flag=True,
|
||||
default=False,
|
||||
help="Emit structured JSON-lines to stdout instead of human-readable text.",
|
||||
),
|
||||
click.option(
|
||||
"--no-input",
|
||||
is_flag=True,
|
||||
default=False,
|
||||
help="Never prompt for input; fail with an error if a required value is missing.",
|
||||
),
|
||||
]
|
||||
if include_docker_args:
|
||||
# Only attach build args to the default command; on the group they
|
||||
@@ -1479,50 +1256,36 @@ def _deploy_cmd(
|
||||
no_wait: bool,
|
||||
remote_build_flag: bool | None,
|
||||
docker_build_args: Sequence[str],
|
||||
json_output: bool,
|
||||
no_input: bool,
|
||||
):
|
||||
global _emitter, _no_input
|
||||
_emitter = _Emitter(json_mode=json_output)
|
||||
_no_input = no_input
|
||||
em = _emitter
|
||||
|
||||
em.note(
|
||||
"Note: 'langgraph deploy' is in beta. Expect frequent updates and improvements."
|
||||
click.secho(
|
||||
"Note: 'langgraph deploy' is in beta. Expect frequent updates and improvements.",
|
||||
fg="yellow",
|
||||
)
|
||||
if not json_output:
|
||||
click.echo()
|
||||
click.echo()
|
||||
|
||||
# -- 1. Preflight --
|
||||
validate_deploy_commands(install_command, build_command)
|
||||
config_json = langgraph_cli.config.validate_config_file(config)
|
||||
warn_non_wolfi_distro(config_json, emit=em.note)
|
||||
warn_non_wolfi_distro(config_json)
|
||||
|
||||
env_vars = _parse_env_from_config(config_json, config)
|
||||
|
||||
if not deployment_id and not name:
|
||||
name = env_vars.get(_DEPLOYMENT_NAME_ENV)
|
||||
if not deployment_id and not name:
|
||||
default_name = normalize_name(pathlib.Path.cwd().name)
|
||||
if no_input:
|
||||
name = default_name
|
||||
else:
|
||||
name = click.prompt("Deployment name", default=default_name)
|
||||
if name and not deployment_id:
|
||||
name = normalize_name(name)
|
||||
if not no_input:
|
||||
env_path = _resolve_env_path(config_json, config)
|
||||
if env_path is not None:
|
||||
set_key(str(env_path), _DEPLOYMENT_NAME_ENV, name)
|
||||
em.info(f"Saved deployment name to {env_path}")
|
||||
default_name = normalize_image_name(pathlib.Path.cwd().name)
|
||||
name = click.prompt("Deployment name", default=default_name)
|
||||
env_path = _resolve_env_path(config_json, config)
|
||||
if env_path is not None:
|
||||
set_key(str(env_path), _DEPLOYMENT_NAME_ENV, name)
|
||||
click.echo(f"Saved deployment name to {env_path}")
|
||||
|
||||
secrets = _secrets_from_env(_env_without_deployment_name(env_vars))
|
||||
|
||||
use_remote_build, local_build_error = _resolve_build_mode(remote_build_flag)
|
||||
if use_remote_build and remote_build_flag is None and local_build_error:
|
||||
em.note(f"{local_build_error}\nUsing remote build instead.")
|
||||
if not json_output:
|
||||
click.echo()
|
||||
click.secho(f"{local_build_error}\nUsing remote build instead.", fg="yellow")
|
||||
click.echo()
|
||||
|
||||
# -- 2. Resolve / create deployment --
|
||||
client = _create_host_backend_client(host_url, api_key, env_vars=env_vars)
|
||||
@@ -1534,9 +1297,9 @@ def _deploy_cmd(
|
||||
deployment_id,
|
||||
name,
|
||||
not_found_message=(
|
||||
"No deployment found. Will create."
|
||||
" No deployment found. Will create."
|
||||
if use_remote_build
|
||||
else "No deployment found. Will create after build."
|
||||
else " No deployment found. Will create after build."
|
||||
),
|
||||
)
|
||||
|
||||
@@ -1587,14 +1350,10 @@ def _deploy_cmd(
|
||||
)
|
||||
|
||||
# -- 4. Shared wait + result --
|
||||
dep_status_url = _emit_deployment_status_url(
|
||||
build_result.updated,
|
||||
deployment_id,
|
||||
host_url,
|
||||
)
|
||||
_print_deployment_status_url(build_result.updated, deployment_id, host_url)
|
||||
|
||||
if no_wait:
|
||||
em.info(build_result.no_result_message)
|
||||
click.secho(f" {build_result.no_result_message}", fg="green")
|
||||
return
|
||||
|
||||
last_status, revision_id = _poll_revision_status(
|
||||
@@ -1607,7 +1366,7 @@ def _deploy_cmd(
|
||||
on_interrupt=build_result.on_interrupt,
|
||||
)
|
||||
if not last_status:
|
||||
em.info(build_result.no_result_message)
|
||||
click.secho(f" {build_result.no_result_message}", fg="green")
|
||||
return
|
||||
|
||||
if (
|
||||
@@ -1616,7 +1375,7 @@ def _deploy_cmd(
|
||||
and not verbose
|
||||
and revision_id is not None
|
||||
):
|
||||
em.error("Last build log lines:")
|
||||
click.secho(" Last build log lines:", fg="red")
|
||||
try:
|
||||
logs_resp = client.get_build_logs(
|
||||
deployment_id,
|
||||
@@ -1628,17 +1387,19 @@ def _deploy_cmd(
|
||||
for entry in entries:
|
||||
msg = entry.get("message", "")
|
||||
if msg:
|
||||
em.log(msg)
|
||||
click.echo(f" | {msg}")
|
||||
except Exception:
|
||||
em.error("(failed to fetch build logs)")
|
||||
em.warn("Re-run with --verbose to see full build output.")
|
||||
click.secho(" (failed to fetch build logs)", fg="red")
|
||||
click.secho(
|
||||
" Re-run with --verbose to see full build output.",
|
||||
fg="yellow",
|
||||
)
|
||||
|
||||
_print_deployment_result(
|
||||
client,
|
||||
deployment_id,
|
||||
last_status,
|
||||
dashboard_label="Deployment dashboard",
|
||||
status_url=dep_status_url,
|
||||
)
|
||||
|
||||
|
||||
|
||||
@@ -12,11 +12,10 @@ class Progress:
|
||||
while True:
|
||||
yield from "|/-\\"
|
||||
|
||||
def __init__(self, *, message="", elapsed: bool = False, json_mode: bool = False):
|
||||
def __init__(self, *, message="", elapsed: bool = False):
|
||||
self.message = message
|
||||
self._base_message = message
|
||||
self._show_elapsed = elapsed
|
||||
self._json_mode = json_mode
|
||||
# use this to make sure we don't kill thread when we set msg to ""
|
||||
self._stop = threading.Event()
|
||||
# signalled when the spinner has no text on screen
|
||||
@@ -70,9 +69,6 @@ class Progress:
|
||||
self._line_clear.set()
|
||||
|
||||
def __enter__(self) -> Callable[[str], None]:
|
||||
if self._json_mode:
|
||||
return lambda message: None
|
||||
|
||||
if sys.stdout.isatty():
|
||||
self.thread = threading.Thread(target=self.spinner_task)
|
||||
self.thread.start()
|
||||
@@ -94,8 +90,6 @@ class Progress:
|
||||
return set_message
|
||||
|
||||
def __exit__(self, exception, value, tb):
|
||||
if self._json_mode:
|
||||
return
|
||||
if sys.stdout.isatty():
|
||||
self.message = ""
|
||||
self._stop.set()
|
||||
|
||||
@@ -1,7 +1,5 @@
|
||||
"""General-purpose utilities shared across the LangGraph CLI."""
|
||||
|
||||
from collections.abc import Callable
|
||||
|
||||
import click
|
||||
|
||||
|
||||
@@ -9,42 +7,21 @@ def clean_empty_lines(input_str: str):
|
||||
return "\n".join(filter(None, input_str.splitlines()))
|
||||
|
||||
|
||||
def warn_non_wolfi_distro(
|
||||
config_json: dict,
|
||||
*,
|
||||
emit: Callable[[str], None] | None = None,
|
||||
) -> None:
|
||||
"""Show warning if image_distro is not set to 'wolfi'.
|
||||
|
||||
When ``emit`` is provided, each warning line is sent through it (used by
|
||||
callers that need JSON-aware output). Otherwise falls back to colored
|
||||
``click.secho`` output.
|
||||
"""
|
||||
def warn_non_wolfi_distro(config_json: dict) -> None:
|
||||
"""Show warning if image_distro is not set to 'wolfi'."""
|
||||
image_distro = config_json.get("image_distro", "debian") # Default is debian
|
||||
if image_distro == "wolfi":
|
||||
return
|
||||
if emit is not None:
|
||||
emit(
|
||||
"⚠️ Security Recommendation: Consider switching to Wolfi Linux for enhanced security."
|
||||
if image_distro != "wolfi":
|
||||
click.secho(
|
||||
"⚠️ Security Recommendation: Consider switching to Wolfi Linux for enhanced security.",
|
||||
fg="yellow",
|
||||
bold=True,
|
||||
)
|
||||
emit(
|
||||
" Wolfi is a security-oriented, minimal Linux distribution designed for containers."
|
||||
click.secho(
|
||||
" Wolfi is a security-oriented, minimal Linux distribution designed for containers.",
|
||||
fg="yellow",
|
||||
)
|
||||
emit(
|
||||
' To switch, add \'"image_distro": "wolfi"\' to your langgraph.json config file.'
|
||||
click.secho(
|
||||
' To switch, add \'"image_distro": "wolfi"\' to your langgraph.json config file.',
|
||||
fg="yellow",
|
||||
)
|
||||
return
|
||||
click.secho(
|
||||
"⚠️ Security Recommendation: Consider switching to Wolfi Linux for enhanced security.",
|
||||
fg="yellow",
|
||||
bold=True,
|
||||
)
|
||||
click.secho(
|
||||
" Wolfi is a security-oriented, minimal Linux distribution designed for containers.",
|
||||
fg="yellow",
|
||||
)
|
||||
click.secho(
|
||||
' To switch, add \'"image_distro": "wolfi"\' to your langgraph.json config file.',
|
||||
fg="yellow",
|
||||
)
|
||||
click.secho("") # Empty line for better readability
|
||||
click.secho("") # Empty line for better readability
|
||||
|
||||
@@ -1,8 +1,6 @@
|
||||
import base64
|
||||
import io
|
||||
import json
|
||||
import os
|
||||
import sys
|
||||
|
||||
import click
|
||||
import httpx
|
||||
@@ -10,15 +8,12 @@ import pytest
|
||||
|
||||
from langgraph_cli.deploy import (
|
||||
_call_host_backend_with_optional_tenant,
|
||||
_create_host_backend_client,
|
||||
_docker_config_for_token,
|
||||
_Emitter,
|
||||
_env_without_deployment_name,
|
||||
_parse_env_from_config,
|
||||
_resolve_env_path,
|
||||
_smith_dashboard_base_url,
|
||||
normalize_image_name,
|
||||
normalize_image_tag,
|
||||
normalize_name,
|
||||
)
|
||||
from langgraph_cli.host_backend import HostBackendClient, HostBackendError
|
||||
|
||||
@@ -45,33 +40,30 @@ class TestDockerConfigForToken:
|
||||
assert "gcr.io" in data["auths"]
|
||||
|
||||
|
||||
class TestNormalizeName:
|
||||
class TestNormalizeImageName:
|
||||
def test_simple_name(self):
|
||||
assert normalize_name("myapp") == "myapp"
|
||||
assert normalize_image_name("myapp") == "myapp"
|
||||
|
||||
def test_uppercase_lowered(self):
|
||||
assert normalize_name("MyApp") == "myapp"
|
||||
assert normalize_image_name("MyApp") == "myapp"
|
||||
|
||||
def test_special_chars_replaced(self):
|
||||
assert normalize_name("my app!@#v2") == "my-app-v2"
|
||||
assert normalize_image_name("my app!@#v2") == "my-app-v2"
|
||||
|
||||
def test_dots_replaced_with_hyphens(self):
|
||||
assert normalize_name("my-app.v2") == "my-app-v2"
|
||||
|
||||
def test_underscores_replaced_with_hyphens(self):
|
||||
assert normalize_name("simple_graph_name") == "simple-graph-name"
|
||||
def test_dots_and_hyphens_kept(self):
|
||||
assert normalize_image_name("my-app.v2") == "my-app.v2"
|
||||
|
||||
def test_leading_trailing_stripped(self):
|
||||
assert normalize_name("--my-app..") == "my-app"
|
||||
assert normalize_image_name("--my-app..") == "my-app"
|
||||
|
||||
def test_empty_string_returns_app(self):
|
||||
assert normalize_name("") == "app"
|
||||
assert normalize_image_name("") == "app"
|
||||
|
||||
def test_none_returns_app(self):
|
||||
assert normalize_name(None) == "app"
|
||||
assert normalize_image_name(None) == "app"
|
||||
|
||||
def test_all_invalid_chars_returns_app(self):
|
||||
assert normalize_name("!!!") == "app"
|
||||
assert normalize_image_name("!!!") == "app"
|
||||
|
||||
|
||||
class TestNormalizeImageTag:
|
||||
@@ -279,256 +271,3 @@ class TestCallHostBackendWithOptionalTenant:
|
||||
_call_host_backend_with_optional_tenant(
|
||||
client, lambda c: c.list_deployments()
|
||||
)
|
||||
|
||||
def test_workspace_prompt_blocked_by_no_input(self, monkeypatch):
|
||||
"""With _no_input=True, 403 requiring workspace should raise ClickException."""
|
||||
import langgraph_cli.deploy as deploy_mod
|
||||
|
||||
monkeypatch.setattr(deploy_mod, "_no_input", True)
|
||||
|
||||
requires_workspace = '{"detail":"requires workspace specification"}'
|
||||
client = self._make_client(
|
||||
lambda req: httpx.Response(403, text=requires_workspace)
|
||||
)
|
||||
with pytest.raises(click.ClickException, match="workspace"):
|
||||
_call_host_backend_with_optional_tenant(
|
||||
client, lambda c: c.list_deployments()
|
||||
)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# _Emitter JSON mode
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestEmitterJsonMode:
|
||||
"""Verify that _Emitter in json_mode writes valid JSON-lines to stdout."""
|
||||
|
||||
def _capture(self, fn):
|
||||
"""Run fn with stdout captured and return parsed JSON objects."""
|
||||
buf = io.StringIO()
|
||||
old = sys.stdout
|
||||
sys.stdout = buf
|
||||
try:
|
||||
fn()
|
||||
finally:
|
||||
sys.stdout = old
|
||||
lines = [line for line in buf.getvalue().splitlines() if line.strip()]
|
||||
return [json.loads(line) for line in lines]
|
||||
|
||||
def test_step_event(self):
|
||||
em = _Emitter(json_mode=True)
|
||||
events = self._capture(lambda: em.step(1, "Building image"))
|
||||
assert len(events) == 1
|
||||
assert events[0]["event"] == "step"
|
||||
assert events[0]["step"] == 1
|
||||
assert events[0]["message"] == "Building image"
|
||||
|
||||
def test_info_event(self):
|
||||
em = _Emitter(json_mode=True)
|
||||
events = self._capture(lambda: em.info("All good"))
|
||||
assert events[0]["event"] == "info"
|
||||
assert events[0]["message"] == "All good"
|
||||
|
||||
def test_warn_event(self):
|
||||
em = _Emitter(json_mode=True)
|
||||
events = self._capture(lambda: em.warn("Careful"))
|
||||
assert events[0]["event"] == "warn"
|
||||
|
||||
def test_error_event(self):
|
||||
em = _Emitter(json_mode=True)
|
||||
events = self._capture(lambda: em.error("Boom"))
|
||||
assert events[0]["event"] == "error"
|
||||
assert events[0]["message"] == "Boom"
|
||||
|
||||
def test_status_change_event(self):
|
||||
em = _Emitter(json_mode=True)
|
||||
events = self._capture(lambda: em.status_change("building", 12.345))
|
||||
assert events[0]["event"] == "status_change"
|
||||
assert events[0]["status"] == "building"
|
||||
assert events[0]["elapsed_seconds"] == 12.3
|
||||
assert events[0]["message"] == "building... (12s)"
|
||||
|
||||
def test_status_change_event_with_minutes(self):
|
||||
em = _Emitter(json_mode=True)
|
||||
events = self._capture(lambda: em.status_change("deploying", 95.0))
|
||||
assert events[0]["message"] == "deploying... (1m 35s)"
|
||||
|
||||
def test_log_event(self):
|
||||
em = _Emitter(json_mode=True)
|
||||
events = self._capture(lambda: em.log("some output"))
|
||||
assert events[0] == {"event": "log", "message": "some output"}
|
||||
|
||||
def test_status_url_event(self):
|
||||
em = _Emitter(json_mode=True)
|
||||
events = self._capture(
|
||||
lambda: em.status_url("https://smith.langchain.com/deploy/123")
|
||||
)
|
||||
assert events[0]["event"] == "status_url"
|
||||
assert events[0]["url"] == "https://smith.langchain.com/deploy/123"
|
||||
|
||||
def test_result_event_full(self):
|
||||
em = _Emitter(json_mode=True)
|
||||
events = self._capture(
|
||||
lambda: em.result(
|
||||
"succeeded",
|
||||
deployment_id="dep-1",
|
||||
url="https://app.example.com",
|
||||
status_url="https://smith.langchain.com/deploy/dep-1",
|
||||
)
|
||||
)
|
||||
assert events[0]["event"] == "result"
|
||||
assert events[0]["status"] == "succeeded"
|
||||
assert events[0]["deployment_id"] == "dep-1"
|
||||
assert events[0]["message"] == "Deployment successful!"
|
||||
assert events[0]["url"] == "https://app.example.com"
|
||||
assert events[0]["status_url"] == "https://smith.langchain.com/deploy/dep-1"
|
||||
|
||||
def test_result_event_minimal(self):
|
||||
em = _Emitter(json_mode=True)
|
||||
events = self._capture(lambda: em.result("failed", deployment_id="dep-2"))
|
||||
assert events[0]["event"] == "result"
|
||||
assert events[0]["status"] == "failed"
|
||||
assert events[0]["message"] == "Deployment failed"
|
||||
assert "url" not in events[0]
|
||||
assert "status_url" not in events[0]
|
||||
|
||||
def test_heartbeat_event(self):
|
||||
em = _Emitter(json_mode=True)
|
||||
events = self._capture(lambda: em.heartbeat("building", 30.789))
|
||||
assert events[0]["event"] == "heartbeat"
|
||||
assert events[0]["elapsed_seconds"] == 30.8
|
||||
assert events[0]["message"] == "building... (30s)"
|
||||
|
||||
def test_heartbeat_silent_in_text_mode(self, capsys):
|
||||
em = _Emitter(json_mode=False)
|
||||
em.heartbeat("building", 10.0)
|
||||
captured = capsys.readouterr()
|
||||
assert captured.out == ""
|
||||
|
||||
def test_upload_progress_event(self):
|
||||
em = _Emitter(json_mode=True)
|
||||
events = self._capture(lambda: em.upload_progress(5.678, 42))
|
||||
assert events[0]["event"] == "upload_progress"
|
||||
assert events[0]["size_mb"] == 5.7
|
||||
assert events[0]["pct"] == 42
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# _Emitter text mode (non-json)
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestEmitterTextMode:
|
||||
"""Verify that _Emitter in text mode uses click.echo/click.secho."""
|
||||
|
||||
def test_step_writes_text(self, capsys):
|
||||
em = _Emitter(json_mode=False)
|
||||
em.step(1, "Hello")
|
||||
captured = capsys.readouterr()
|
||||
assert "1. Hello" in captured.out
|
||||
|
||||
def test_log_writes_text(self, capsys):
|
||||
em = _Emitter(json_mode=False)
|
||||
em.log("my line")
|
||||
captured = capsys.readouterr()
|
||||
assert "my line" in captured.out
|
||||
|
||||
def test_result_succeeded_text(self, capsys):
|
||||
em = _Emitter(json_mode=False)
|
||||
em.result("succeeded", deployment_id="d1", url="https://app.test")
|
||||
captured = capsys.readouterr()
|
||||
lines = [line.strip() for line in captured.out.splitlines() if line.strip()]
|
||||
assert "Deployment successful!" in lines
|
||||
assert "URL: https://app.test" in lines
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# --no-input guard on _create_host_backend_client
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestCreateHostBackendClientNoInput:
|
||||
def test_raises_when_no_api_key_and_no_input(self, monkeypatch, tmp_path):
|
||||
import langgraph_cli.deploy as deploy_mod
|
||||
|
||||
monkeypatch.setattr(deploy_mod, "_no_input", True)
|
||||
monkeypatch.delenv("LANGSMITH_API_KEY", raising=False)
|
||||
monkeypatch.delenv("LANGCHAIN_API_KEY", raising=False)
|
||||
monkeypatch.delenv("LANGGRAPH_HOST_API_KEY", raising=False)
|
||||
|
||||
with pytest.raises(click.ClickException, match="API key"):
|
||||
_create_host_backend_client(
|
||||
host_url="https://api.example.com",
|
||||
api_key=None,
|
||||
env_vars={},
|
||||
)
|
||||
|
||||
def test_succeeds_with_api_key_in_env(self, monkeypatch, tmp_path):
|
||||
import langgraph_cli.deploy as deploy_mod
|
||||
|
||||
monkeypatch.setattr(deploy_mod, "_no_input", True)
|
||||
monkeypatch.setenv("LANGSMITH_API_KEY", "lsv2_test")
|
||||
|
||||
client = _create_host_backend_client(
|
||||
host_url="https://api.example.com",
|
||||
api_key=None,
|
||||
env_vars={},
|
||||
)
|
||||
assert client is not None
|
||||
|
||||
|
||||
class TestSmithDashboardBaseUrl:
|
||||
def test_none_returns_default(self):
|
||||
assert _smith_dashboard_base_url(None) == "https://smith.langchain.com"
|
||||
|
||||
def test_empty_returns_default(self):
|
||||
assert _smith_dashboard_base_url("") == "https://smith.langchain.com"
|
||||
|
||||
def test_prod_host_url(self):
|
||||
assert (
|
||||
_smith_dashboard_base_url("https://api.host.langchain.com")
|
||||
== "https://smith.langchain.com"
|
||||
)
|
||||
|
||||
def test_dev_host_url(self):
|
||||
assert (
|
||||
_smith_dashboard_base_url("https://dev.api.host.langchain.com")
|
||||
== "https://dev.smith.langchain.com"
|
||||
)
|
||||
|
||||
def test_eu_host_url(self):
|
||||
assert (
|
||||
_smith_dashboard_base_url("https://eu.api.host.langchain.com")
|
||||
== "https://eu.smith.langchain.com"
|
||||
)
|
||||
|
||||
def test_staging_host_url(self):
|
||||
assert (
|
||||
_smith_dashboard_base_url("https://staging.api.host.langchain.com")
|
||||
== "https://staging.smith.langchain.com"
|
||||
)
|
||||
|
||||
def test_localhost(self):
|
||||
assert (
|
||||
_smith_dashboard_base_url("http://localhost:8080")
|
||||
== "http://localhost:8080"
|
||||
)
|
||||
|
||||
def test_localhost_trailing_slash(self):
|
||||
assert (
|
||||
_smith_dashboard_base_url("http://localhost:8080/")
|
||||
== "http://localhost:8080"
|
||||
)
|
||||
|
||||
def test_127_0_0_1(self):
|
||||
assert (
|
||||
_smith_dashboard_base_url("http://127.0.0.1:3000")
|
||||
== "http://127.0.0.1:3000"
|
||||
)
|
||||
|
||||
def test_unknown_domain_returns_default(self):
|
||||
assert (
|
||||
_smith_dashboard_base_url("https://custom.example.com")
|
||||
== "https://smith.langchain.com"
|
||||
)
|
||||
|
||||
Generated
+71
-72
@@ -2,8 +2,7 @@ version = 1
|
||||
revision = 3
|
||||
requires-python = ">=3.10"
|
||||
resolution-markers = [
|
||||
"python_full_version >= '3.15'",
|
||||
"python_full_version >= '3.11' and python_full_version < '3.15'",
|
||||
"python_full_version >= '3.11'",
|
||||
"python_full_version < '3.11'",
|
||||
]
|
||||
|
||||
@@ -363,14 +362,14 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "click"
|
||||
version = "8.3.3"
|
||||
version = "8.3.2"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "colorama", marker = "sys_platform == 'win32'" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/bb/63/f9e1ea081ce35720d8b92acde70daaedace594dc93b693c869e0d5910718/click-8.3.3.tar.gz", hash = "sha256:398329ad4837b2ff7cbe1dd166a4c0f8900c3ca3a218de04466f38f6497f18a2", size = 328061, upload-time = "2026-04-22T15:11:27.506Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/57/75/31212c6bf2503fdf920d87fee5d7a86a2e3bcf444984126f13d8e4016804/click-8.3.2.tar.gz", hash = "sha256:14162b8b3b3550a7d479eafa77dfd3c38d9dc8951f6f69c78913a8f9a7540fd5", size = 302856, upload-time = "2026-04-03T19:14:45.118Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/ae/44/c1221527f6a71a01ec6fbad7fa78f1d50dfa02217385cf0fa3eec7087d59/click-8.3.3-py3-none-any.whl", hash = "sha256:a2bf429bb3033c89fa4936ffb35d5cb471e3719e1f3c8a7c3fff0b8314305613", size = 110502, upload-time = "2026-04-22T15:11:25.044Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/e4/20/71885d8b97d4f3dde17b1fdb92dbd4908b00541c5a3379787137285f602e/click-8.3.2-py3-none-any.whl", hash = "sha256:1924d2c27c5653561cd2cae4548d1406039cb79b858b747cfea24924bbc1616d", size = 108379, upload-time = "2026-04-03T19:14:43.505Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -1359,7 +1358,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "mypy"
|
||||
version = "1.20.2"
|
||||
version = "1.20.1"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "librt", marker = "platform_python_implementation != 'PyPy'" },
|
||||
@@ -1368,51 +1367,51 @@ dependencies = [
|
||||
{ name = "tomli", marker = "python_full_version < '3.11'" },
|
||||
{ name = "typing-extensions" },
|
||||
]
|
||||
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" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/0b/3d/5b373635b3146264eb7a68d09e5ca11c305bbb058dfffbb47c47daf4f632/mypy-1.20.1.tar.gz", hash = "sha256:6fc3f4ecd52de81648fed1945498bf42fa2993ddfad67c9056df36ae5757f804", size = 3815892, upload-time = "2026-04-13T02:46:51.474Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/76/97/ce2502df2cecf2ef997b6c6527c4a223b92feb9e7b790cdc8dcd683f3a8a/mypy-1.20.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:cf5a4db6dca263010e2c7bff081c89383c72d187ba2cf4c44759aac970e2f0c4", size = 14457059, upload-time = "2026-04-21T17:06:14.935Z" },
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]
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[[package]]
|
||||
|
||||
@@ -12,9 +12,6 @@ RESUME = sys.intern("__resume__")
|
||||
# for values passed to resume a node after an interrupt
|
||||
ERROR = sys.intern("__error__")
|
||||
# for errors raised by nodes
|
||||
ERROR_SOURCE_NODE = sys.intern("__error_source_node__")
|
||||
# failed source node name for node-level error handlers
|
||||
# value format in pending writes: `(task_id, ERROR_SOURCE_NODE, node_name: str)`
|
||||
NO_WRITES = sys.intern("__no_writes__")
|
||||
# marker to signal node didn't write anything
|
||||
TASKS = sys.intern("__pregel_tasks")
|
||||
@@ -74,10 +71,6 @@ CONFIG_KEY_RESUME_MAP = sys.intern("__pregel_resume_map")
|
||||
CONFIG_KEY_STREAM_MESSAGES_V2 = sys.intern("__pregel_stream_messages_v2")
|
||||
# when True, attach StreamMessagesHandlerV2 so content-block (v2) events
|
||||
# flow through stream_mode="messages"; set by StreamingHandler only.
|
||||
CONFIG_KEY_NODE_ERROR = sys.intern("__pregel_node_error")
|
||||
# holds a `NodeError` (failed source node + exception) for the current
|
||||
# node-level error handler invocation, injected when handler signature
|
||||
# requests `error: NodeError`
|
||||
|
||||
# --- Other constants ---
|
||||
PUSH = sys.intern("__pregel_push")
|
||||
@@ -105,7 +98,6 @@ RESERVED = {
|
||||
INTERRUPT,
|
||||
RESUME,
|
||||
ERROR,
|
||||
ERROR_SOURCE_NODE,
|
||||
NO_WRITES,
|
||||
# reserved config.configurable keys
|
||||
CONFIG_KEY_SEND,
|
||||
|
||||
@@ -51,11 +51,9 @@ from langgraph._internal._config import (
|
||||
)
|
||||
from langgraph._internal._constants import (
|
||||
CONF,
|
||||
CONFIG_KEY_NODE_ERROR,
|
||||
CONFIG_KEY_RUNTIME,
|
||||
)
|
||||
from langgraph._internal._typing import MISSING
|
||||
from langgraph.errors import NodeError
|
||||
from langgraph.types import StreamWriter
|
||||
|
||||
try:
|
||||
@@ -196,15 +194,6 @@ KWARGS_CONFIG_KEYS: tuple[tuple[str, tuple[Any, ...], str, Any], ...] = (
|
||||
"N/A",
|
||||
inspect.Parameter.empty,
|
||||
),
|
||||
(
|
||||
"error",
|
||||
(NodeError, "NodeError"),
|
||||
# we never hit this block, we read directly from configurable
|
||||
"N/A",
|
||||
# default to None so non-handler nodes that happen to type a parameter
|
||||
# `error: NodeError` don't blow up; handlers always receive a NodeError.
|
||||
None,
|
||||
),
|
||||
)
|
||||
"""List of kwargs that can be passed to functions, and their corresponding
|
||||
config keys, default values and type annotations.
|
||||
@@ -378,8 +367,6 @@ class RunnableCallable(Runnable):
|
||||
kw_value: Any = MISSING
|
||||
if kw == "config":
|
||||
kw_value = config
|
||||
elif kw == "error":
|
||||
kw_value = config.get(CONF, {}).get(CONFIG_KEY_NODE_ERROR, MISSING)
|
||||
elif runtime:
|
||||
if kw == "runtime":
|
||||
kw_value = runtime
|
||||
@@ -452,8 +439,6 @@ class RunnableCallable(Runnable):
|
||||
kw_value: Any = MISSING
|
||||
if kw == "config":
|
||||
kw_value = config
|
||||
elif kw == "error":
|
||||
kw_value = config.get(CONF, {}).get(CONFIG_KEY_NODE_ERROR, MISSING)
|
||||
elif runtime:
|
||||
if kw == "runtime":
|
||||
kw_value = runtime
|
||||
|
||||
@@ -5,7 +5,7 @@ import copy as _copy
|
||||
from collections.abc import Callable, Sequence
|
||||
from typing import Any, Generic
|
||||
|
||||
from langgraph.checkpoint.base import PendingWrite
|
||||
from langgraph.checkpoint.base import DELTA_SENTINEL, PendingWrite
|
||||
from langgraph.checkpoint.serde.types import _DeltaSnapshot
|
||||
from typing_extensions import Self
|
||||
|
||||
@@ -38,17 +38,19 @@ 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 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.
|
||||
`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.
|
||||
|
||||
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 update to this channel writes a snapshot
|
||||
blob (default `1000`). Must be a positive int.
|
||||
snapshot_frequency: Every Nth pregel step writes a snapshot blob.
|
||||
`None` (default) = pure delta, never snapshot.
|
||||
"""
|
||||
|
||||
__slots__ = ("value", "reducer", "snapshot_frequency")
|
||||
@@ -59,12 +61,8 @@ class DeltaChannel(Generic[Value], BaseChannel[Any, Any, Any]):
|
||||
reducer: Callable[[Any, Sequence[Any]], Any],
|
||||
typ: type[Value] | None = None,
|
||||
*,
|
||||
snapshot_frequency: int = 1000,
|
||||
snapshot_frequency: int | None = None,
|
||||
) -> 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)
|
||||
@@ -95,6 +93,14 @@ 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
|
||||
@@ -104,19 +110,18 @@ class DeltaChannel(Generic[Value], BaseChannel[Any, Any, Any]):
|
||||
return new
|
||||
|
||||
def from_checkpoint(self, checkpoint: Any) -> Self:
|
||||
"""Initialize from a stored blob.
|
||||
"""Initialize from a stored blob or sentinel.
|
||||
|
||||
Blob types:
|
||||
* `MISSING`: start empty; caller replays writes.
|
||||
Blob types (dispatched via serde ext code, not dict key inspection):
|
||||
* `DELTA_SENTINEL` / `MISSING`: start empty; caller replays writes.
|
||||
* `_DeltaSnapshot(value)`: restore value directly from snapshot.
|
||||
* plain value (migration from old `BinaryOperatorAggregate` blobs):
|
||||
use directly.
|
||||
* plain value (migration from old BinOp blobs): use directly.
|
||||
"""
|
||||
new = self.__class__(
|
||||
self.reducer, self.typ, snapshot_frequency=self.snapshot_frequency
|
||||
)
|
||||
new.key = self.key
|
||||
if checkpoint is MISSING:
|
||||
if checkpoint is MISSING or checkpoint is DELTA_SENTINEL:
|
||||
new.value = self.typ()
|
||||
elif isinstance(checkpoint, _DeltaSnapshot):
|
||||
new.value = checkpoint.value
|
||||
@@ -181,12 +186,12 @@ class DeltaChannel(Generic[Value], BaseChannel[Any, Any, Any]):
|
||||
return self.value is not MISSING
|
||||
|
||||
def checkpoint(self) -> Any:
|
||||
"""Return stored representation: always `MISSING`.
|
||||
"""Return stored representation: always `DELTA_SENTINEL`.
|
||||
|
||||
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`.
|
||||
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.
|
||||
"""
|
||||
return MISSING
|
||||
if self.value is MISSING:
|
||||
return MISSING
|
||||
return DELTA_SENTINEL
|
||||
|
||||
@@ -1,7 +1,6 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from collections.abc import Sequence
|
||||
from dataclasses import dataclass
|
||||
from enum import Enum
|
||||
from typing import Any, Literal
|
||||
from warnings import warn
|
||||
@@ -16,12 +15,10 @@ from langgraph.warnings import LangGraphDeprecatedSinceV10
|
||||
__all__ = (
|
||||
"EmptyChannelError",
|
||||
"ErrorCode",
|
||||
"GraphDrained",
|
||||
"GraphRecursionError",
|
||||
"InvalidUpdateError",
|
||||
"GraphBubbleUp",
|
||||
"GraphInterrupt",
|
||||
"NodeError",
|
||||
"NodeInterrupt",
|
||||
"NodeTimeoutError",
|
||||
"ParentCommand",
|
||||
@@ -46,23 +43,6 @@ def create_error_message(*, message: str, error_code: ErrorCode) -> str:
|
||||
)
|
||||
|
||||
|
||||
class GraphBubbleUp(Exception):
|
||||
pass
|
||||
|
||||
|
||||
class GraphDrained(GraphBubbleUp):
|
||||
"""Raised when a graph run exits early due to a drain request.
|
||||
|
||||
This indicates the graph stopped cooperatively at a superstep boundary
|
||||
because `RunControl.request_drain()` was called (e.g., in response to
|
||||
SIGTERM). The checkpoint is saved and the run can be resumed later.
|
||||
"""
|
||||
|
||||
def __init__(self, reason: str = "shutdown") -> None:
|
||||
self.reason = reason
|
||||
super().__init__(f"Graph drained: {reason}")
|
||||
|
||||
|
||||
class GraphRecursionError(RecursionError):
|
||||
"""Raised when the graph has exhausted the maximum number of steps.
|
||||
|
||||
@@ -98,6 +78,10 @@ class InvalidUpdateError(Exception):
|
||||
pass
|
||||
|
||||
|
||||
class GraphBubbleUp(Exception):
|
||||
pass
|
||||
|
||||
|
||||
class GraphInterrupt(GraphBubbleUp):
|
||||
"""Raised when a subgraph is interrupted, suppressed by the root graph.
|
||||
Never raised directly, or surfaced to the user."""
|
||||
@@ -144,31 +128,12 @@ class TaskNotFound(Exception):
|
||||
pass
|
||||
|
||||
|
||||
@dataclass(frozen=True, slots=True)
|
||||
class NodeError:
|
||||
"""Failure context passed to a node-level error handler.
|
||||
|
||||
Inject by adding a parameter typed `NodeError` to a handler registered via
|
||||
`StateGraph.add_node(..., error_handler=...)`:
|
||||
|
||||
```python
|
||||
def handler(state: State, error: NodeError) -> Command:
|
||||
return Command(update={"status": f"recovered from {error.node}: {error.error}"})
|
||||
```
|
||||
"""
|
||||
|
||||
node: str
|
||||
"""Name of the node whose execution failed."""
|
||||
|
||||
error: BaseException
|
||||
"""Exception raised by the failed node."""
|
||||
|
||||
|
||||
class NodeTimeoutError(Exception):
|
||||
class NodeTimeoutError(TimeoutError):
|
||||
"""Raised when a node invocation exceeds one of its configured timeouts.
|
||||
|
||||
Does **not** inherit from the built-in `TimeoutError` (a subclass of
|
||||
`OSError`) so that the default `RetryPolicy` treats it as retryable.
|
||||
Subclasses the built-in `TimeoutError`, so existing `except TimeoutError`
|
||||
handlers keep working. If the node has a `retry_policy` whose `retry_on`
|
||||
permits `TimeoutError`, the attempt will be retried.
|
||||
|
||||
Both `idle_timeout` and `run_timeout` reflect the configured policy at the
|
||||
time of the failure (each is `None` if not configured). `kind` and
|
||||
|
||||
@@ -88,8 +88,6 @@ class StateNodeSpec(Generic[NodeInputT, ContextT]):
|
||||
input_schema: type[NodeInputT]
|
||||
retry_policy: RetryPolicy | Sequence[RetryPolicy] | None
|
||||
cache_policy: CachePolicy | None
|
||||
is_error_handler: bool = False
|
||||
error_handler_node: str | None = None
|
||||
ends: tuple[str, ...] | dict[str, str] | None = EMPTY_SEQ
|
||||
defer: bool = False
|
||||
timeout: TimeoutPolicy | None = None
|
||||
|
||||
@@ -249,15 +249,15 @@ def _messages_delta_reducer(
|
||||
) -> list[AnyMessage]:
|
||||
"""**Experimental.** Batch reducer for use with `DeltaChannel`.
|
||||
|
||||
Provides full `add_messages` parity: dedup by ID, `RemoveMessage`
|
||||
tombstoning, `REMOVE_ALL_MESSAGES` reset, `BaseMessageChunk` coercion,
|
||||
and UUID assignment for ID-less messages — all in a single batched pass.
|
||||
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).
|
||||
|
||||
This reducer is batching-invariant, as required by `DeltaChannel`:
|
||||
`reducer(reducer(state, xs), ys) == reducer(state, xs + ys)`.
|
||||
|
||||
Raw dict / string / tuple inputs are coerced to typed `BaseMessage`
|
||||
objects so that HTTP-driven graphs work without a separate coercion step.
|
||||
Use `add_messages` as the reducer for `BinaryOperatorAggregate` or
|
||||
anywhere raw message dicts / strings need to be coerced first.
|
||||
|
||||
Example::
|
||||
|
||||
@@ -268,61 +268,17 @@ def _messages_delta_reducer(
|
||||
class State(TypedDict):
|
||||
messages: Annotated[list, DeltaChannel(_messages_delta_reducer)]
|
||||
"""
|
||||
from itertools import chain
|
||||
|
||||
# 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 BaseMessages
|
||||
# (never chunks), so skip convert_to_messages on the fast path.
|
||||
# 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]",
|
||||
[
|
||||
message_chunk_to_message(cast(BaseMessageChunk, m))
|
||||
for m in convert_to_messages(state)
|
||||
],
|
||||
)
|
||||
# Coerce chunks to full messages — streaming nodes can emit BaseMessageChunk.
|
||||
msgs = cast(
|
||||
"list[AnyMessage]",
|
||||
[
|
||||
message_chunk_to_message(cast(BaseMessageChunk, m))
|
||||
for m in convert_to_messages(flat)
|
||||
],
|
||||
)
|
||||
|
||||
# REMOVE_ALL_MESSAGES resets everything; find the last sentinel and
|
||||
# discard all state plus all writes before it.
|
||||
remove_all_idx = None
|
||||
for idx, m in enumerate(msgs):
|
||||
if isinstance(m, RemoveMessage) and m.id == REMOVE_ALL_MESSAGES:
|
||||
remove_all_idx = idx
|
||||
if remove_all_idx is not None:
|
||||
state_msgs = []
|
||||
msgs = msgs[remove_all_idx + 1 :]
|
||||
|
||||
# Build index and assign missing IDs in one pass (parity with add_messages
|
||||
# so that eviction and RemoveMessage tombstoning work on ID-less messages).
|
||||
index: dict[str, int] = {}
|
||||
for i, m in enumerate(state_msgs):
|
||||
if m.id is None:
|
||||
m.id = str(uuid.uuid4())
|
||||
index[m.id] = i
|
||||
result: list[AnyMessage | None] = list(state_msgs)
|
||||
for msg in msgs:
|
||||
if msg.id is None:
|
||||
msg.id = str(uuid.uuid4())
|
||||
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
|
||||
):
|
||||
mid = msg.id
|
||||
if isinstance(msg, RemoveMessage):
|
||||
if mid is None:
|
||||
result.append(msg)
|
||||
elif isinstance(msg, RemoveMessage):
|
||||
if mid in index:
|
||||
result[index[mid]] = None
|
||||
del index[mid]
|
||||
|
||||
@@ -303,7 +303,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
|
||||
input_schema: None = None,
|
||||
retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None,
|
||||
cache_policy: CachePolicy | None = None,
|
||||
error_handler: StateNode[Any, ContextT] | None = None,
|
||||
destinations: dict[str, str] | tuple[str, ...] | None = None,
|
||||
timeout: float | timedelta | TimeoutPolicy | None = None,
|
||||
**kwargs: Unpack[DeprecatedKwargs],
|
||||
@@ -372,7 +371,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
|
||||
input_schema: type[NodeInputT],
|
||||
retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None,
|
||||
cache_policy: CachePolicy | None = None,
|
||||
error_handler: StateNode[Any, ContextT] | None = None,
|
||||
destinations: dict[str, str] | tuple[str, ...] | None = None,
|
||||
timeout: float | timedelta | TimeoutPolicy | None = None,
|
||||
**kwargs: Unpack[DeprecatedKwargs],
|
||||
@@ -446,7 +444,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
|
||||
input_schema: None = None,
|
||||
retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None,
|
||||
cache_policy: CachePolicy | None = None,
|
||||
error_handler: StateNode[Any, ContextT] | None = None,
|
||||
destinations: dict[str, str] | tuple[str, ...] | None = None,
|
||||
timeout: float | timedelta | TimeoutPolicy | None = None,
|
||||
**kwargs: Unpack[DeprecatedKwargs],
|
||||
@@ -515,7 +512,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
|
||||
input_schema: type[NodeInputT],
|
||||
retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None,
|
||||
cache_policy: CachePolicy | None = None,
|
||||
error_handler: StateNode[Any, ContextT] | None = None,
|
||||
destinations: dict[str, str] | tuple[str, ...] | None = None,
|
||||
timeout: float | timedelta | TimeoutPolicy | None = None,
|
||||
**kwargs: Unpack[DeprecatedKwargs],
|
||||
@@ -591,7 +587,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
|
||||
input_schema: type[NodeInputT] | None = None,
|
||||
retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None,
|
||||
cache_policy: CachePolicy | None = None,
|
||||
error_handler: StateNode[Any, ContextT] | None = None,
|
||||
destinations: dict[str, str] | tuple[str, ...] | None = None,
|
||||
timeout: float | timedelta | TimeoutPolicy | None = None,
|
||||
**kwargs: Unpack[DeprecatedKwargs],
|
||||
@@ -612,7 +607,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
|
||||
|
||||
If a sequence is provided, the first matching policy will be applied.
|
||||
cache_policy: The cache policy for the node.
|
||||
error_handler: Optional node-level error handler callable for this node.
|
||||
destinations: Destinations that indicate where a node can route to.
|
||||
|
||||
Useful for edgeless graphs with nodes that return `Command` objects.
|
||||
@@ -772,25 +766,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
|
||||
if destinations is not None:
|
||||
ends = destinations
|
||||
|
||||
resolved_input_schema: type[Any] = (
|
||||
input_schema or inferred_input_schema or self.state_schema
|
||||
)
|
||||
handler_node_name: str | None = None
|
||||
if error_handler is not None:
|
||||
handler_node_name = f"__error_handler__{node}"
|
||||
if handler_node_name in self.nodes:
|
||||
raise ValueError(
|
||||
f"Auto-generated error handler node `{handler_node_name}` already exists."
|
||||
)
|
||||
self.nodes[handler_node_name] = StateNodeSpec[Any, ContextT](
|
||||
coerce_to_runnable(error_handler, name=handler_node_name, trace=False), # type: ignore[arg-type]
|
||||
metadata=None,
|
||||
input_schema=resolved_input_schema,
|
||||
retry_policy=None,
|
||||
cache_policy=None,
|
||||
is_error_handler=True,
|
||||
)
|
||||
|
||||
if input_schema is not None:
|
||||
self.nodes[node] = StateNodeSpec[NodeInputT, ContextT](
|
||||
coerce_to_runnable(action, name=node, trace=False), # type: ignore[arg-type]
|
||||
@@ -798,7 +773,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
|
||||
input_schema=input_schema,
|
||||
retry_policy=retry_policy,
|
||||
cache_policy=cache_policy,
|
||||
error_handler_node=handler_node_name,
|
||||
ends=ends,
|
||||
defer=defer,
|
||||
timeout=timeout,
|
||||
@@ -810,7 +784,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
|
||||
input_schema=inferred_input_schema,
|
||||
retry_policy=retry_policy,
|
||||
cache_policy=cache_policy,
|
||||
error_handler_node=handler_node_name,
|
||||
ends=ends,
|
||||
defer=defer,
|
||||
timeout=timeout,
|
||||
@@ -822,7 +795,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
|
||||
input_schema=self.state_schema,
|
||||
retry_policy=retry_policy,
|
||||
cache_policy=cache_policy,
|
||||
error_handler_node=handler_node_name,
|
||||
ends=ends,
|
||||
defer=defer,
|
||||
timeout=timeout,
|
||||
@@ -1080,6 +1052,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
|
||||
for node in interrupt:
|
||||
if node not in self.nodes:
|
||||
raise ValueError(f"Interrupt node `{node}` not found")
|
||||
|
||||
self.compiled = True
|
||||
return self
|
||||
|
||||
@@ -1128,7 +1101,7 @@ 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_events(version="v3")` / `astream_events(version="v3")` is called and are
|
||||
per run whenever `stream_v2` / `astream_v2` 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
|
||||
@@ -1193,11 +1166,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
|
||||
key for key, val in self.channels.items() if not is_managed_value(val)
|
||||
]
|
||||
)
|
||||
node_error_handler_map = {
|
||||
node_name: spec.error_handler_node
|
||||
for node_name, spec in self.nodes.items()
|
||||
if spec.error_handler_node is not None
|
||||
}
|
||||
|
||||
compiled = CompiledStateGraph[StateT, ContextT, InputT, OutputT](
|
||||
builder=self,
|
||||
@@ -1220,7 +1188,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
|
||||
debug=debug,
|
||||
store=store,
|
||||
cache=cache,
|
||||
node_error_handler_map=node_error_handler_map,
|
||||
name=name or "LangGraph",
|
||||
stream_transformers=transformers,
|
||||
)
|
||||
@@ -1395,8 +1362,6 @@ class CompiledStateGraph(
|
||||
metadata=node.metadata,
|
||||
retry_policy=node.retry_policy,
|
||||
cache_policy=node.cache_policy,
|
||||
is_error_handler=node.is_error_handler,
|
||||
error_handler_node=node.error_handler_node,
|
||||
bound=node.runnable, # type: ignore[arg-type]
|
||||
timeout=node.timeout,
|
||||
)
|
||||
|
||||
@@ -39,7 +39,6 @@ from langgraph._internal._constants import (
|
||||
CONFIG_KEY_CHECKPOINT_MAP,
|
||||
CONFIG_KEY_CHECKPOINT_NS,
|
||||
CONFIG_KEY_CHECKPOINTER,
|
||||
CONFIG_KEY_NODE_ERROR,
|
||||
CONFIG_KEY_READ,
|
||||
CONFIG_KEY_RESUME_MAP,
|
||||
CONFIG_KEY_RUNTIME,
|
||||
@@ -48,7 +47,6 @@ from langgraph._internal._constants import (
|
||||
CONFIG_KEY_TASK_ID,
|
||||
CONFIG_KEY_THREAD_ID,
|
||||
ERROR,
|
||||
ERROR_SOURCE_NODE,
|
||||
INTERRUPT,
|
||||
NO_WRITES,
|
||||
NS_END,
|
||||
@@ -68,7 +66,6 @@ from langgraph.channels.base import BaseChannel
|
||||
from langgraph.channels.topic import Topic
|
||||
from langgraph.channels.untracked_value import UntrackedValue
|
||||
from langgraph.constants import TAG_HIDDEN
|
||||
from langgraph.errors import NodeError
|
||||
from langgraph.managed.base import ManagedValueMapping
|
||||
from langgraph.pregel._call import get_runnable_for_task, identifier
|
||||
from langgraph.pregel._io import read_channels
|
||||
@@ -295,15 +292,7 @@ def apply_writes(
|
||||
pending_writes_by_channel: dict[str, list[Any]] = defaultdict(list)
|
||||
for task in tasks:
|
||||
for chan, val in task.writes:
|
||||
if chan in (
|
||||
NO_WRITES,
|
||||
PUSH,
|
||||
RESUME,
|
||||
INTERRUPT,
|
||||
RETURN,
|
||||
ERROR,
|
||||
ERROR_SOURCE_NODE,
|
||||
):
|
||||
if chan in (NO_WRITES, PUSH, RESUME, INTERRUPT, RETURN, ERROR):
|
||||
pass
|
||||
elif chan in channels:
|
||||
pending_writes_by_channel[chan].append(val)
|
||||
@@ -761,42 +750,6 @@ def prepare_single_task(
|
||||
return PregelTask(task_id, name, task_path[:3])
|
||||
|
||||
|
||||
def _coerce_pending_error(value: Any) -> BaseException:
|
||||
if isinstance(value, BaseException):
|
||||
return value
|
||||
return Exception(str(value))
|
||||
|
||||
|
||||
def _read_errors_from_pending_writes(
|
||||
pending_writes: list[PendingWrite],
|
||||
) -> list[BaseException]:
|
||||
errors: list[BaseException] = []
|
||||
for _, channel, value in pending_writes:
|
||||
if channel == ERROR:
|
||||
errors.append(_coerce_pending_error(value))
|
||||
return errors
|
||||
|
||||
|
||||
def _read_error_for_task_id_from_pending_writes(
|
||||
pending_writes: list[PendingWrite], task_id: str
|
||||
) -> BaseException | None:
|
||||
for pending_task_id, channel, value in reversed(pending_writes):
|
||||
if pending_task_id == task_id and channel == ERROR:
|
||||
return _coerce_pending_error(value)
|
||||
return None
|
||||
|
||||
|
||||
def _read_error_source_node_from_pending_writes(
|
||||
pending_writes: list[PendingWrite], task_id: str
|
||||
) -> str | None:
|
||||
for pending_task_id, channel, value in reversed(pending_writes):
|
||||
if pending_task_id == task_id and channel == ERROR_SOURCE_NODE:
|
||||
if isinstance(value, str):
|
||||
return value
|
||||
return str(value)
|
||||
return None
|
||||
|
||||
|
||||
def prepare_push_task_functional(
|
||||
task_path: tuple[str, tuple, int, str, Call],
|
||||
# (PUSH, parent task path, idx of PUSH write, id of parent task, Call)
|
||||
@@ -1107,147 +1060,6 @@ def prepare_push_task_send(
|
||||
return PregelTask(task_id, packet.node, translated_task_path)
|
||||
|
||||
|
||||
def prepare_node_error_handler_task(
|
||||
failed_task: PregelExecutableTask,
|
||||
*,
|
||||
handler_node_name: str,
|
||||
failed_error: BaseException,
|
||||
checkpoint: Checkpoint,
|
||||
pending_writes: list[PendingWrite],
|
||||
processes: Mapping[str, PregelNode],
|
||||
channels: Mapping[str, BaseChannel],
|
||||
managed: ManagedValueMapping,
|
||||
config: RunnableConfig,
|
||||
step: int,
|
||||
stop: int,
|
||||
store: BaseStore | None = None,
|
||||
checkpointer: BaseCheckpointSaver | None = None,
|
||||
manager: None | ParentRunManager | AsyncParentRunManager = None,
|
||||
cache_policy: CachePolicy | None = None,
|
||||
retry_policy: Sequence[RetryPolicy] = (),
|
||||
) -> PregelExecutableTask | None:
|
||||
"""Prepare an immediate node-level error handler task for a failed task."""
|
||||
if handler_node_name not in processes:
|
||||
return None
|
||||
proc = processes[handler_node_name]
|
||||
proc_node = proc.node
|
||||
if proc_node is None:
|
||||
return None
|
||||
|
||||
checkpoint_id_bytes = binascii.unhexlify(checkpoint["id"].replace("-", ""))
|
||||
task_id_func = _xxhash_str if checkpoint["v"] > 1 else _uuid5_str
|
||||
configurable = config.get(CONF, {})
|
||||
parent_ns = configurable.get(CONFIG_KEY_CHECKPOINT_NS, "")
|
||||
checkpoint_ns = (
|
||||
f"{parent_ns}{NS_SEP}{handler_node_name}" if parent_ns else handler_node_name
|
||||
)
|
||||
task_id = task_id_func(
|
||||
checkpoint_id_bytes,
|
||||
checkpoint_ns,
|
||||
str(step),
|
||||
handler_node_name,
|
||||
PUSH,
|
||||
"node_error_handler",
|
||||
failed_task.id,
|
||||
)
|
||||
task_checkpoint_ns = f"{checkpoint_ns}:{task_id}"
|
||||
translated_task_path = (*failed_task.path[:3], "node_error_handler", False)
|
||||
metadata = {
|
||||
"langgraph_step": step,
|
||||
"langgraph_node": handler_node_name,
|
||||
"langgraph_triggers": PUSH_TRIGGER,
|
||||
"langgraph_path": translated_task_path,
|
||||
"langgraph_checkpoint_ns": task_checkpoint_ns,
|
||||
}
|
||||
if proc.metadata:
|
||||
metadata.update(proc.metadata)
|
||||
writes: deque[tuple[str, Any]] = deque()
|
||||
|
||||
effective_retry_policy = proc.retry_policy or retry_policy
|
||||
effective_cache_policy = proc.cache_policy or cache_policy
|
||||
if effective_cache_policy:
|
||||
args_key = effective_cache_policy.key_func(failed_task.input)
|
||||
cache_key = CacheKey(
|
||||
(
|
||||
CACHE_NS_WRITES,
|
||||
(identifier(proc) or "__dynamic__"),
|
||||
handler_node_name,
|
||||
),
|
||||
xxh3_128_hexdigest(
|
||||
args_key.encode() if isinstance(args_key, str) else args_key
|
||||
),
|
||||
effective_cache_policy.ttl,
|
||||
)
|
||||
else:
|
||||
cache_key = None
|
||||
|
||||
scratchpad = _scratchpad(
|
||||
config[CONF].get(CONFIG_KEY_SCRATCHPAD),
|
||||
pending_writes,
|
||||
task_id,
|
||||
xxh3_128_hexdigest(task_checkpoint_ns.encode()),
|
||||
config[CONF].get(CONFIG_KEY_RESUME_MAP),
|
||||
step,
|
||||
stop,
|
||||
)
|
||||
runtime = cast(Runtime, configurable.get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME))
|
||||
runtime = runtime.override(
|
||||
store=store, previous=checkpoint["channel_values"].get(PREVIOUS, None)
|
||||
)
|
||||
additional_config: RunnableConfig = {
|
||||
"metadata": metadata,
|
||||
"tags": proc.tags,
|
||||
}
|
||||
return PregelExecutableTask(
|
||||
handler_node_name,
|
||||
failed_task.input,
|
||||
proc_node,
|
||||
writes,
|
||||
patch_config(
|
||||
merge_configs(config, additional_config),
|
||||
run_name=handler_node_name,
|
||||
callbacks=manager.get_child(f"graph:step:{step}") if manager else None,
|
||||
configurable={
|
||||
CONFIG_KEY_TASK_ID: task_id,
|
||||
CONFIG_KEY_SEND: writes.extend,
|
||||
CONFIG_KEY_READ: partial(
|
||||
local_read,
|
||||
scratchpad,
|
||||
channels,
|
||||
managed,
|
||||
PregelTaskWrites(
|
||||
translated_task_path,
|
||||
handler_node_name,
|
||||
writes,
|
||||
PUSH_TRIGGER,
|
||||
),
|
||||
),
|
||||
CONFIG_KEY_CHECKPOINTER: (
|
||||
checkpointer or configurable.get(CONFIG_KEY_CHECKPOINTER)
|
||||
),
|
||||
CONFIG_KEY_CHECKPOINT_MAP: {
|
||||
**configurable.get(CONFIG_KEY_CHECKPOINT_MAP, {}),
|
||||
parent_ns: checkpoint["id"],
|
||||
},
|
||||
CONFIG_KEY_CHECKPOINT_ID: None,
|
||||
CONFIG_KEY_CHECKPOINT_NS: task_checkpoint_ns,
|
||||
CONFIG_KEY_SCRATCHPAD: scratchpad,
|
||||
CONFIG_KEY_RUNTIME: runtime,
|
||||
CONFIG_KEY_NODE_ERROR: NodeError(
|
||||
node=failed_task.name, error=failed_error
|
||||
),
|
||||
},
|
||||
),
|
||||
PUSH_TRIGGER,
|
||||
effective_retry_policy,
|
||||
cache_key,
|
||||
task_id,
|
||||
translated_task_path,
|
||||
writers=proc.flat_writers,
|
||||
subgraphs=proc.subgraphs,
|
||||
)
|
||||
|
||||
|
||||
def checkpoint_null_version(
|
||||
checkpoint: Checkpoint,
|
||||
) -> V | None:
|
||||
|
||||
@@ -5,11 +5,7 @@ from datetime import datetime, timezone
|
||||
from typing import Any, cast
|
||||
|
||||
from langchain_core.runnables import RunnableConfig
|
||||
from langgraph.checkpoint.base import (
|
||||
BaseCheckpointSaver,
|
||||
Checkpoint,
|
||||
CheckpointMetadata,
|
||||
)
|
||||
from langgraph.checkpoint.base import DELTA_SENTINEL, BaseCheckpointSaver, Checkpoint
|
||||
from langgraph.checkpoint.base.id import uuid6
|
||||
from langgraph.checkpoint.serde.types import _DeltaSnapshot
|
||||
|
||||
@@ -34,30 +30,6 @@ 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,
|
||||
@@ -67,33 +39,21 @@ 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 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.
|
||||
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.
|
||||
|
||||
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`).
|
||||
`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`.
|
||||
"""
|
||||
ts = datetime.now(timezone.utc).isoformat()
|
||||
counts = updates_since_snapshot or {}
|
||||
if channels is None:
|
||||
values = checkpoint["channel_values"]
|
||||
channel_versions = checkpoint["channel_versions"]
|
||||
@@ -106,13 +66,8 @@ 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.
|
||||
@@ -121,8 +76,6 @@ 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:
|
||||
@@ -139,15 +92,15 @@ def create_checkpoint(
|
||||
|
||||
|
||||
def _needs_replay(spec: BaseChannel, stored: object) -> bool:
|
||||
"""True if `spec` is a `DeltaChannel` and no value is stored at this
|
||||
checkpoint, requiring an ancestor walk to reconstruct.
|
||||
"""True if `spec` is a `DeltaChannel` and the stored blob is a sentinel,
|
||||
requiring an ancestor walk to reconstruct.
|
||||
|
||||
`_DeltaSnapshot` blobs and plain values (migration) resolve directly via
|
||||
`from_checkpoint` — only absence (`MISSING`) triggers replay.
|
||||
`from_checkpoint` — only `DELTA_SENTINEL` / `MISSING` trigger replay.
|
||||
"""
|
||||
if not isinstance(spec, DeltaChannel):
|
||||
return False
|
||||
return stored is MISSING
|
||||
return stored is MISSING or stored is DELTA_SENTINEL
|
||||
|
||||
|
||||
def channels_from_checkpoint(
|
||||
@@ -160,12 +113,10 @@ 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: 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.
|
||||
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`.
|
||||
"""
|
||||
channel_specs: dict[str, BaseChannel] = {}
|
||||
managed_specs: dict[str, ManagedValueSpec] = {}
|
||||
@@ -175,28 +126,18 @@ 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
|
||||
if k in histories:
|
||||
stored = checkpoint["channel_values"].get(k, MISSING)
|
||||
if _needs_replay(spec, stored) and saver is not None and config is not None:
|
||||
delta_spec = cast(DeltaChannel, spec)
|
||||
history = histories[k]
|
||||
replay_ch = delta_spec.from_checkpoint(history.get("seed", MISSING))
|
||||
replay_ch.replay_writes(history["writes"])
|
||||
history = saver._get_channel_writes_history(config, k)
|
||||
replay_ch = delta_spec.from_checkpoint(history.seed)
|
||||
replay_ch.replay_writes(history.writes)
|
||||
ch = replay_ch
|
||||
else:
|
||||
ch = spec.from_checkpoint(checkpoint["channel_values"].get(k, MISSING))
|
||||
ch = spec.from_checkpoint(stored)
|
||||
channels[k] = ch
|
||||
return channels, managed_specs
|
||||
|
||||
@@ -217,28 +158,18 @@ 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
|
||||
if k in histories:
|
||||
stored = checkpoint["channel_values"].get(k, MISSING)
|
||||
if _needs_replay(spec, stored) and saver is not None and config is not None:
|
||||
delta_spec = cast(DeltaChannel, spec)
|
||||
history = histories[k]
|
||||
replay_ch = delta_spec.from_checkpoint(history.get("seed", MISSING))
|
||||
replay_ch.replay_writes(history["writes"])
|
||||
history = await saver._aget_channel_writes_history(config, k)
|
||||
replay_ch = delta_spec.from_checkpoint(history.seed)
|
||||
replay_ch.replay_writes(history.writes)
|
||||
ch = replay_ch
|
||||
else:
|
||||
ch = spec.from_checkpoint(checkpoint["channel_values"].get(k, MISSING))
|
||||
ch = spec.from_checkpoint(stored)
|
||||
channels[k] = ch
|
||||
return channels, managed_specs
|
||||
|
||||
@@ -253,17 +184,3 @@ 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 {})
|
||||
|
||||
@@ -45,13 +45,11 @@ from langgraph._internal._constants import (
|
||||
CONFIG_KEY_REPLAY_STATE,
|
||||
CONFIG_KEY_RESUME_MAP,
|
||||
CONFIG_KEY_RESUMING,
|
||||
CONFIG_KEY_RUNTIME,
|
||||
CONFIG_KEY_SCRATCHPAD,
|
||||
CONFIG_KEY_STREAM,
|
||||
CONFIG_KEY_TASK_ID,
|
||||
CONFIG_KEY_THREAD_ID,
|
||||
ERROR,
|
||||
ERROR_SOURCE_NODE,
|
||||
INPUT,
|
||||
INTERRUPT,
|
||||
NS_END,
|
||||
@@ -89,7 +87,6 @@ from langgraph.pregel._algo import (
|
||||
checkpoint_null_version,
|
||||
increment,
|
||||
prepare_next_tasks,
|
||||
prepare_node_error_handler_task,
|
||||
prepare_single_task,
|
||||
sanitize_untracked_values_in_send,
|
||||
should_interrupt,
|
||||
@@ -122,7 +119,6 @@ from langgraph.pregel.debug import (
|
||||
map_debug_tasks,
|
||||
)
|
||||
from langgraph.pregel.protocol import StreamChunk, StreamProtocol
|
||||
from langgraph.runtime import RunControl, Runtime
|
||||
from langgraph.types import (
|
||||
All,
|
||||
CachePolicy,
|
||||
@@ -210,12 +206,10 @@ class PregelLoop:
|
||||
"input",
|
||||
"pending",
|
||||
"done",
|
||||
"draining",
|
||||
"interrupt_before",
|
||||
"interrupt_after",
|
||||
"out_of_steps",
|
||||
]
|
||||
control: RunControl | None
|
||||
tasks: dict[str, PregelExecutableTask]
|
||||
output: None | dict[str, Any] | Any = None
|
||||
updated_channels: set[str] | None = None
|
||||
@@ -323,8 +317,6 @@ class PregelLoop:
|
||||
else ()
|
||||
)
|
||||
self.prev_checkpoint_config = None
|
||||
runtime = self.config[CONF].get(CONFIG_KEY_RUNTIME)
|
||||
self.control = runtime.control if isinstance(runtime, Runtime) else None
|
||||
|
||||
def _push_graph_lifecycle_event(
|
||||
self,
|
||||
@@ -332,16 +324,11 @@ class PregelLoop:
|
||||
*,
|
||||
interrupts: tuple[Interrupt, ...] = (),
|
||||
) -> None:
|
||||
# drain status never reaches lifecycle events: tick() returns False
|
||||
# before pushing, and interrupts are raised through GraphInterrupt
|
||||
if self.status == "draining":
|
||||
raise RuntimeError("Draining status cannot emit lifecycle events")
|
||||
status = self.status
|
||||
if kind == "resume":
|
||||
self._graph_lifecycle_events.append(
|
||||
GraphResumeEvent(
|
||||
run_id=None,
|
||||
status=status,
|
||||
status=self.status,
|
||||
checkpoint_id=self.checkpoint["id"],
|
||||
checkpoint_ns=self.checkpoint_ns,
|
||||
)
|
||||
@@ -350,7 +337,7 @@ class PregelLoop:
|
||||
self._graph_lifecycle_events.append(
|
||||
GraphInterruptEvent(
|
||||
run_id=None,
|
||||
status=status,
|
||||
status=self.status,
|
||||
checkpoint_id=self.checkpoint["id"],
|
||||
checkpoint_ns=self.checkpoint_ns,
|
||||
interrupts=interrupts,
|
||||
@@ -524,16 +511,6 @@ class PregelLoop:
|
||||
# return the new task, to be started if not run before
|
||||
return pushed
|
||||
|
||||
def schedule_error_handler(
|
||||
self, failed_task: PregelExecutableTask, error: BaseException
|
||||
) -> PregelExecutableTask | None:
|
||||
raise NotImplementedError
|
||||
|
||||
async def aschedule_error_handler(
|
||||
self, failed_task: PregelExecutableTask, error: BaseException
|
||||
) -> PregelExecutableTask | None:
|
||||
raise NotImplementedError
|
||||
|
||||
def tick(self) -> bool:
|
||||
"""Execute a single iteration of the Pregel loop.
|
||||
|
||||
@@ -592,10 +569,6 @@ class PregelLoop:
|
||||
self.status = "done"
|
||||
return False
|
||||
|
||||
if self.control is not None and self.control.drain_requested:
|
||||
self.status = "draining"
|
||||
return False
|
||||
|
||||
# if there are pending writes from a previous loop, apply them
|
||||
if not self.is_replaying and self.checkpoint_pending_writes:
|
||||
self._match_writes(self.tasks)
|
||||
@@ -662,7 +635,7 @@ class PregelLoop:
|
||||
|
||||
def _match_writes(self, tasks: Mapping[str, PregelExecutableTask]) -> None:
|
||||
for tid, k, v in self.checkpoint_pending_writes:
|
||||
if k in (ERROR, ERROR_SOURCE_NODE, INTERRUPT, RESUME):
|
||||
if k in (ERROR, INTERRUPT, RESUME):
|
||||
continue
|
||||
if task := tasks.get(tid):
|
||||
task.writes.append((k, v))
|
||||
@@ -910,22 +883,6 @@ 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, {})
|
||||
@@ -945,13 +902,7 @@ 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()
|
||||
@@ -1261,45 +1212,6 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
|
||||
self.output_writes(task.id, task.writes, cached=True)
|
||||
return pushed
|
||||
|
||||
def schedule_error_handler(
|
||||
self, failed_task: PregelExecutableTask, error: BaseException
|
||||
) -> PregelExecutableTask | None:
|
||||
handler_node = self.nodes[failed_task.name].error_handler_node
|
||||
if not handler_node:
|
||||
return None
|
||||
writes = list(failed_task.writes)
|
||||
writes.append((ERROR_SOURCE_NODE, failed_task.name))
|
||||
self.put_writes(
|
||||
failed_task.id,
|
||||
writes,
|
||||
)
|
||||
handler_task = prepare_node_error_handler_task(
|
||||
failed_task,
|
||||
handler_node_name=handler_node,
|
||||
failed_error=error,
|
||||
checkpoint=self.checkpoint,
|
||||
pending_writes=self.checkpoint_pending_writes,
|
||||
processes=self.nodes,
|
||||
channels=self.channels,
|
||||
managed=self.managed,
|
||||
config=failed_task.config,
|
||||
step=self.step,
|
||||
stop=self.stop,
|
||||
store=self.store,
|
||||
checkpointer=self.checkpointer,
|
||||
manager=self.manager,
|
||||
retry_policy=self.retry_policy,
|
||||
cache_policy=self.cache_policy,
|
||||
)
|
||||
if handler_task is None:
|
||||
return None
|
||||
self.tasks[handler_task.id] = handler_task
|
||||
if not self.is_replaying:
|
||||
self._match_writes({handler_task.id: handler_task})
|
||||
for task in self.match_cached_writes():
|
||||
self.output_writes(task.id, task.writes, cached=True)
|
||||
return handler_task
|
||||
|
||||
def put_writes(self, task_id: str, writes: WritesT) -> None:
|
||||
"""Put writes for a task, to be read by the next tick."""
|
||||
super().put_writes(task_id, writes)
|
||||
@@ -1472,7 +1384,7 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
|
||||
new_versions: ChannelVersions,
|
||||
) -> RunnableConfig:
|
||||
# Drain DeltaChannel write futures before committing the checkpoint so
|
||||
# ancestor walks never see a checkpoint without its backing writes.
|
||||
# DELTA_SENTINEL blobs are never saved ahead of their backing writes.
|
||||
if self._delta_write_futs:
|
||||
futs, self._delta_write_futs = self._delta_write_futs, []
|
||||
await asyncio.gather(*futs)
|
||||
@@ -1507,45 +1419,6 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
|
||||
self.output_writes(task.id, task.writes, cached=True)
|
||||
return pushed
|
||||
|
||||
async def aschedule_error_handler(
|
||||
self, failed_task: PregelExecutableTask, error: BaseException
|
||||
) -> PregelExecutableTask | None:
|
||||
handler_node = self.nodes[failed_task.name].error_handler_node
|
||||
if not handler_node:
|
||||
return None
|
||||
writes = list(failed_task.writes)
|
||||
writes.append((ERROR_SOURCE_NODE, failed_task.name))
|
||||
self.put_writes(
|
||||
failed_task.id,
|
||||
writes,
|
||||
)
|
||||
handler_task = prepare_node_error_handler_task(
|
||||
failed_task,
|
||||
handler_node_name=handler_node,
|
||||
failed_error=error,
|
||||
checkpoint=self.checkpoint,
|
||||
pending_writes=self.checkpoint_pending_writes,
|
||||
processes=self.nodes,
|
||||
channels=self.channels,
|
||||
managed=self.managed,
|
||||
config=failed_task.config,
|
||||
step=self.step,
|
||||
stop=self.stop,
|
||||
store=self.store,
|
||||
checkpointer=self.checkpointer,
|
||||
manager=self.manager,
|
||||
retry_policy=self.retry_policy,
|
||||
cache_policy=self.cache_policy,
|
||||
)
|
||||
if handler_task is None:
|
||||
return None
|
||||
self.tasks[handler_task.id] = handler_task
|
||||
if not self.is_replaying:
|
||||
self._match_writes({handler_task.id: handler_task})
|
||||
for task in await self.amatch_cached_writes():
|
||||
self.output_writes(task.id, task.writes, cached=True)
|
||||
return handler_task
|
||||
|
||||
def put_writes(self, task_id: str, writes: WritesT) -> None:
|
||||
"""Put writes for a task, to be read by the next tick."""
|
||||
super().put_writes(task_id, writes)
|
||||
|
||||
@@ -349,7 +349,7 @@ class StreamMessagesHandlerV2(StreamMessagesHandler, _V2StreamingCallbackHandler
|
||||
tags: list[str] | None = None,
|
||||
**kwargs: Any,
|
||||
) -> Any:
|
||||
"""Forward a protocol event from `stream_events(version="v3")` as a messages stream part.
|
||||
"""Forward a protocol event from `stream_v2` as a messages stream part.
|
||||
|
||||
Fires once per `MessagesData` event (`message-start`, per-block
|
||||
`content-block-*`, `message-finish`). The transformer layer
|
||||
|
||||
@@ -138,12 +138,6 @@ class PregelNode:
|
||||
metadata: Mapping[str, Any] | None
|
||||
"""Metadata to attach to the node for tracing."""
|
||||
|
||||
is_error_handler: bool
|
||||
"""Whether this node is registered as an error handler node."""
|
||||
|
||||
error_handler_node: str | None
|
||||
"""Optional handler node name for failures from this node."""
|
||||
|
||||
subgraphs: Sequence[PregelProtocol]
|
||||
"""Subgraphs used by the node."""
|
||||
|
||||
@@ -159,8 +153,6 @@ class PregelNode:
|
||||
bound: Runnable[Any, Any] | None = None,
|
||||
retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None,
|
||||
cache_policy: CachePolicy | None = None,
|
||||
is_error_handler: bool = False,
|
||||
error_handler_node: str | None = None,
|
||||
subgraphs: Sequence[PregelProtocol] | None = None,
|
||||
timeout: float | timedelta | TimeoutPolicy | None = None,
|
||||
) -> None:
|
||||
@@ -177,8 +169,6 @@ class PregelNode:
|
||||
self.timeout = coerce_timeout_policy(timeout)
|
||||
self.tags = tags
|
||||
self.metadata = metadata
|
||||
self.is_error_handler = is_error_handler
|
||||
self.error_handler_node = error_handler_node
|
||||
if subgraphs is not None:
|
||||
self.subgraphs = subgraphs
|
||||
elif self.bound is not DEFAULT_BOUND:
|
||||
|
||||
@@ -10,10 +10,8 @@ from collections.abc import (
|
||||
AsyncIterator,
|
||||
Awaitable,
|
||||
Callable,
|
||||
Collection,
|
||||
Iterable,
|
||||
Iterator,
|
||||
Mapping,
|
||||
Sequence,
|
||||
)
|
||||
from functools import partial
|
||||
@@ -74,10 +72,6 @@ SKIP_RERAISE_SET: weakref.WeakSet[concurrent.futures.Future | asyncio.Future] =
|
||||
class FuturesDict(Generic[F, E], dict[F, PregelExecutableTask | None]):
|
||||
event: E
|
||||
callback: weakref.ref[Callable[[PregelExecutableTask, BaseException | None], None]]
|
||||
# Stop condition is injected by PregelRunner instead of hard-coded here.
|
||||
# This lets the runner treat graph-error-handled exceptions as non-fatal
|
||||
# so `on_done` does not trigger an early stop for those futures.
|
||||
should_stop: Callable[[set[F]], bool]
|
||||
counter: int
|
||||
done: set[F]
|
||||
lock: threading.Lock
|
||||
@@ -88,7 +82,6 @@ class FuturesDict(Generic[F, E], dict[F, PregelExecutableTask | None]):
|
||||
callback: weakref.ref[
|
||||
Callable[[PregelExecutableTask, BaseException | None], None]
|
||||
],
|
||||
should_stop: Callable[[set[F]], bool],
|
||||
future_type: type[F],
|
||||
# used for generic typing, newer py supports FutureDict[...](...)
|
||||
) -> None:
|
||||
@@ -96,7 +89,6 @@ class FuturesDict(Generic[F, E], dict[F, PregelExecutableTask | None]):
|
||||
self.lock = threading.Lock()
|
||||
self.event = event
|
||||
self.callback = callback
|
||||
self.should_stop = should_stop
|
||||
self.counter = 0
|
||||
self.done: set[F] = set()
|
||||
|
||||
@@ -117,7 +109,6 @@ class FuturesDict(Generic[F, E], dict[F, PregelExecutableTask | None]):
|
||||
task: PregelExecutableTask,
|
||||
fut: F,
|
||||
) -> None:
|
||||
# Called automatically by future.add_done_callback registered in __setitem__.
|
||||
try:
|
||||
if cb := self.callback():
|
||||
cb(task, _exception(fut))
|
||||
@@ -125,9 +116,7 @@ class FuturesDict(Generic[F, E], dict[F, PregelExecutableTask | None]):
|
||||
with self.lock:
|
||||
self.done.add(fut)
|
||||
self.counter -= 1
|
||||
# Wake waiter when all tracked futures are done, or when runner-level
|
||||
# stop condition is met (for example, a non-handled fatal exception).
|
||||
if self.counter == 0 or self.should_stop(self.done):
|
||||
if self.counter == 0 or _should_stop_others(self.done):
|
||||
self.event.set()
|
||||
|
||||
|
||||
@@ -143,34 +132,11 @@ class PregelRunner:
|
||||
put_writes: weakref.ref[Callable[[str, Sequence[tuple[str, Any]]], None]],
|
||||
use_astream: bool = False,
|
||||
node_finished: Callable[[str], None] | None = None,
|
||||
node_error_handler_map: Mapping[str, str] | None = None,
|
||||
schedule_error_handler: Callable[
|
||||
[PregelExecutableTask, BaseException], PregelExecutableTask | None
|
||||
]
|
||||
| None = None,
|
||||
aschedule_error_handler: Callable[
|
||||
[PregelExecutableTask, BaseException],
|
||||
Awaitable[PregelExecutableTask | None],
|
||||
]
|
||||
| None = None,
|
||||
) -> None:
|
||||
self.submit = submit
|
||||
self.put_writes = put_writes
|
||||
self.use_astream = use_astream
|
||||
self.node_finished = node_finished
|
||||
self.node_error_handler_map = dict(node_error_handler_map or {})
|
||||
self.error_handler_nodes = set(self.node_error_handler_map.values())
|
||||
self.schedule_error_handler = schedule_error_handler
|
||||
self.aschedule_error_handler = aschedule_error_handler
|
||||
# Exception object ids that are already routed to graph-level error handler.
|
||||
# These ids are consulted by stop/panic checks to avoid re-raising handled
|
||||
# exceptions via the normal fatal path in the same run.
|
||||
self._handled_exception_ids: set[int] = set()
|
||||
|
||||
def _should_route_to_error_handler(self, task: PregelExecutableTask) -> bool:
|
||||
if task.name in self.error_handler_nodes:
|
||||
return False
|
||||
return task.name in self.node_error_handler_map
|
||||
|
||||
def tick(
|
||||
self,
|
||||
@@ -189,9 +155,6 @@ class PregelRunner:
|
||||
futures = FuturesDict(
|
||||
callback=weakref.WeakMethod(self.commit),
|
||||
event=threading.Event(),
|
||||
should_stop=partial(
|
||||
_should_stop_others, handled_exception_ids=self._handled_exception_ids
|
||||
),
|
||||
future_type=concurrent.futures.Future,
|
||||
)
|
||||
# give control back to the caller
|
||||
@@ -201,7 +164,6 @@ class PregelRunner:
|
||||
return
|
||||
elif len(tasks) == 1 and timeout is None and get_waiter is None:
|
||||
t = tasks[0]
|
||||
scheduled_error_handler = False
|
||||
try:
|
||||
run_with_retry(
|
||||
t,
|
||||
@@ -220,23 +182,12 @@ class PregelRunner:
|
||||
self.commit(t, None)
|
||||
except Exception as exc:
|
||||
self.commit(t, exc)
|
||||
if (
|
||||
not isinstance(exc, GraphBubbleUp)
|
||||
and self._should_route_to_error_handler(t)
|
||||
and self.schedule_error_handler is not None
|
||||
):
|
||||
self._handled_exception_ids.add(id(exc))
|
||||
if handler_task := self.schedule_error_handler(t, exc):
|
||||
tasks = (handler_task,)
|
||||
scheduled_error_handler = True
|
||||
# Continue to the regular scheduling path for handler execution.
|
||||
if reraise and futures:
|
||||
if id(exc) not in self._handled_exception_ids:
|
||||
# will be re-raised after futures are done
|
||||
fut: concurrent.futures.Future = concurrent.futures.Future()
|
||||
fut.set_exception(exc)
|
||||
futures.done.add(fut)
|
||||
elif reraise and id(exc) not in self._handled_exception_ids:
|
||||
# will be re-raised after futures are done
|
||||
fut: concurrent.futures.Future = concurrent.futures.Future()
|
||||
fut.set_exception(exc)
|
||||
futures.done.add(fut)
|
||||
elif reraise:
|
||||
if tb := exc.__traceback__:
|
||||
while tb.tb_next is not None and any(
|
||||
tb.tb_frame.f_code.co_filename.endswith(name)
|
||||
@@ -245,12 +196,10 @@ class PregelRunner:
|
||||
tb = tb.tb_next
|
||||
exc.__traceback__ = tb
|
||||
raise
|
||||
if not futures and not scheduled_error_handler:
|
||||
# maybe `t` scheduled another task
|
||||
if not futures: # maybe `t` scheduled another task
|
||||
return
|
||||
else:
|
||||
if not scheduled_error_handler:
|
||||
tasks = () # don't reschedule this task
|
||||
tasks = () # don't reschedule this task
|
||||
# add waiter task if requested
|
||||
if get_waiter is not None:
|
||||
futures[get_waiter()] = None
|
||||
@@ -277,7 +226,6 @@ class PregelRunner:
|
||||
# each task is independent from all other concurrent tasks
|
||||
# yield updates/debug output as each task finishes
|
||||
end_time = timeout + time.monotonic() if timeout else None
|
||||
handled_futures: set[concurrent.futures.Future[Any]] = set()
|
||||
while len(futures) > (1 if get_waiter is not None else 0):
|
||||
done, inflight = concurrent.futures.wait(
|
||||
futures,
|
||||
@@ -286,49 +234,17 @@ class PregelRunner:
|
||||
)
|
||||
if not done:
|
||||
break # timed out
|
||||
done_for_stop: set[concurrent.futures.Future[Any]] = set()
|
||||
for fut in done:
|
||||
task = futures.pop(fut)
|
||||
if task is None:
|
||||
# waiter task finished, schedule another
|
||||
if inflight and get_waiter is not None:
|
||||
futures[get_waiter()] = None
|
||||
elif (
|
||||
(task_exc := _exception(fut))
|
||||
and self._should_route_to_error_handler(task)
|
||||
and not isinstance(task_exc, GraphBubbleUp)
|
||||
):
|
||||
self._handled_exception_ids.add(id(task_exc))
|
||||
SKIP_RERAISE_SET.add(fut)
|
||||
handled_futures.add(fut)
|
||||
if self.schedule_error_handler is not None:
|
||||
if handler_task := self.schedule_error_handler(task, task_exc):
|
||||
handler_fut = self.submit()( # type: ignore[misc]
|
||||
run_with_retry,
|
||||
handler_task,
|
||||
retry_policy,
|
||||
configurable={
|
||||
CONFIG_KEY_CALL: partial(
|
||||
_call,
|
||||
weakref.ref(handler_task),
|
||||
retry_policy=retry_policy,
|
||||
futures=weakref.ref(futures),
|
||||
schedule_task=schedule_task,
|
||||
submit=self.submit,
|
||||
),
|
||||
},
|
||||
__reraise_on_exit__=reraise,
|
||||
)
|
||||
futures[handler_fut] = handler_task
|
||||
else:
|
||||
done_for_stop.add(fut)
|
||||
else:
|
||||
# remove references to loop vars
|
||||
del fut, task
|
||||
# maybe stop other tasks
|
||||
if _should_stop_others(
|
||||
done_for_stop, handled_exception_ids=self._handled_exception_ids
|
||||
):
|
||||
if _should_stop_others(done):
|
||||
break
|
||||
# give control back to the caller
|
||||
yield
|
||||
@@ -343,8 +259,6 @@ class PregelRunner:
|
||||
_panic_or_proceed(
|
||||
futures.done.union(f for f, t in futures.items() if t is not None),
|
||||
panic=reraise,
|
||||
handled_exception_ids=self._handled_exception_ids,
|
||||
handled_futures=handled_futures,
|
||||
)
|
||||
except Exception as exc:
|
||||
if tb := exc.__traceback__:
|
||||
@@ -378,9 +292,6 @@ class PregelRunner:
|
||||
futures = FuturesDict(
|
||||
callback=weakref.WeakMethod(self.commit),
|
||||
event=asyncio.Event(),
|
||||
should_stop=partial(
|
||||
_should_stop_others, handled_exception_ids=self._handled_exception_ids
|
||||
),
|
||||
future_type=asyncio.Future,
|
||||
)
|
||||
# give control back to the caller
|
||||
@@ -390,7 +301,6 @@ class PregelRunner:
|
||||
return
|
||||
elif len(tasks) == 1 and get_waiter is None and timeout is None:
|
||||
t = tasks[0]
|
||||
scheduled_error_handler = False
|
||||
try:
|
||||
await arun_with_retry(
|
||||
t,
|
||||
@@ -412,22 +322,12 @@ class PregelRunner:
|
||||
self.commit(t, None)
|
||||
except Exception as exc:
|
||||
self.commit(t, exc)
|
||||
if (
|
||||
not isinstance(exc, GraphBubbleUp)
|
||||
and self._should_route_to_error_handler(t)
|
||||
and self.aschedule_error_handler is not None
|
||||
):
|
||||
self._handled_exception_ids.add(id(exc))
|
||||
if handler_task := await self.aschedule_error_handler(t, exc):
|
||||
tasks = (handler_task,)
|
||||
scheduled_error_handler = True
|
||||
if reraise and futures:
|
||||
if id(exc) not in self._handled_exception_ids:
|
||||
# will be re-raised after futures are done
|
||||
fut: asyncio.Future = loop.create_future()
|
||||
fut.set_exception(exc)
|
||||
futures.done.add(fut)
|
||||
elif reraise and id(exc) not in self._handled_exception_ids:
|
||||
# will be re-raised after futures are done
|
||||
fut: asyncio.Future = loop.create_future()
|
||||
fut.set_exception(exc)
|
||||
futures.done.add(fut)
|
||||
elif reraise:
|
||||
if tb := exc.__traceback__:
|
||||
while tb.tb_next is not None and any(
|
||||
tb.tb_frame.f_code.co_filename.endswith(name)
|
||||
@@ -436,12 +336,10 @@ class PregelRunner:
|
||||
tb = tb.tb_next
|
||||
exc.__traceback__ = tb
|
||||
raise
|
||||
if not futures and not scheduled_error_handler:
|
||||
# maybe `t` scheduled another task
|
||||
if not futures: # maybe `t` scheduled another task
|
||||
return
|
||||
else:
|
||||
if not scheduled_error_handler:
|
||||
tasks = () # don't reschedule this task
|
||||
tasks = () # don't reschedule this task
|
||||
# add waiter task if requested
|
||||
if get_waiter is not None:
|
||||
futures[get_waiter()] = None
|
||||
@@ -476,7 +374,6 @@ class PregelRunner:
|
||||
# each task is independent from all other concurrent tasks
|
||||
# yield updates/debug output as each task finishes
|
||||
end_time = timeout + loop.time() if timeout else None
|
||||
handled_futures: set[asyncio.Future[Any]] = set()
|
||||
while len(futures) > (1 if get_waiter is not None else 0):
|
||||
done, inflight = await asyncio.wait(
|
||||
futures,
|
||||
@@ -485,59 +382,17 @@ class PregelRunner:
|
||||
)
|
||||
if not done:
|
||||
break # timed out
|
||||
done_for_stop: set[asyncio.Future[Any]] = set()
|
||||
for fut in done:
|
||||
task = futures.pop(fut)
|
||||
if task is None:
|
||||
# waiter task finished, schedule another
|
||||
if inflight and get_waiter is not None:
|
||||
futures[get_waiter()] = None
|
||||
elif (
|
||||
(task_exc := _exception(fut))
|
||||
and self._should_route_to_error_handler(task)
|
||||
and not isinstance(task_exc, GraphBubbleUp)
|
||||
):
|
||||
self._handled_exception_ids.add(id(task_exc))
|
||||
SKIP_RERAISE_SET.add(fut)
|
||||
handled_futures.add(fut)
|
||||
if self.aschedule_error_handler is not None:
|
||||
if handler_task := await self.aschedule_error_handler(
|
||||
task, task_exc
|
||||
):
|
||||
handler_fut = cast(
|
||||
asyncio.Future,
|
||||
self.submit()( # type: ignore[misc]
|
||||
arun_with_retry,
|
||||
handler_task,
|
||||
retry_policy,
|
||||
stream=self.use_astream,
|
||||
configurable={
|
||||
CONFIG_KEY_CALL: partial(
|
||||
_acall,
|
||||
weakref.ref(handler_task),
|
||||
retry_policy=retry_policy,
|
||||
stream=self.use_astream,
|
||||
futures=weakref.ref(futures),
|
||||
schedule_task=schedule_task,
|
||||
submit=self.submit,
|
||||
loop=loop,
|
||||
),
|
||||
},
|
||||
__name__=handler_task.name,
|
||||
__cancel_on_exit__=True,
|
||||
__reraise_on_exit__=reraise,
|
||||
),
|
||||
)
|
||||
futures[handler_fut] = handler_task
|
||||
else:
|
||||
done_for_stop.add(fut)
|
||||
else:
|
||||
# remove references to loop vars
|
||||
del fut, task
|
||||
# maybe stop other tasks
|
||||
if _should_stop_others(
|
||||
done_for_stop, handled_exception_ids=self._handled_exception_ids
|
||||
):
|
||||
if _should_stop_others(done):
|
||||
break
|
||||
# give control back to the caller
|
||||
yield
|
||||
@@ -557,8 +412,6 @@ class PregelRunner:
|
||||
futures.done.union(f for f, t in futures.items() if t is not None),
|
||||
timeout_exc_cls=asyncio.TimeoutError,
|
||||
panic=reraise,
|
||||
handled_exception_ids=self._handled_exception_ids,
|
||||
handled_futures=handled_futures,
|
||||
)
|
||||
except Exception as exc:
|
||||
if tb := exc.__traceback__:
|
||||
@@ -594,11 +447,6 @@ class PregelRunner:
|
||||
else:
|
||||
# save error to checkpointer
|
||||
task.writes.append((ERROR, exception))
|
||||
if self._should_route_to_error_handler(task) and not isinstance(
|
||||
exception, GraphBubbleUp
|
||||
):
|
||||
# Mark early in commit path; loop-side routing may happen later.
|
||||
self._handled_exception_ids.add(id(exception))
|
||||
self.put_writes()(task.id, task.writes) # type: ignore[misc]
|
||||
else:
|
||||
if self.node_finished and (
|
||||
@@ -614,8 +462,6 @@ class PregelRunner:
|
||||
|
||||
def _should_stop_others(
|
||||
done: set[F],
|
||||
*,
|
||||
handled_exception_ids: set[int] | None = None,
|
||||
) -> bool:
|
||||
"""Check if any task failed, if so, cancel all other tasks.
|
||||
GraphInterrupts are not considered failures."""
|
||||
@@ -623,11 +469,7 @@ def _should_stop_others(
|
||||
if fut.cancelled():
|
||||
continue
|
||||
elif exc := fut.exception():
|
||||
if (
|
||||
id(exc) not in (handled_exception_ids or set())
|
||||
and not isinstance(exc, GraphBubbleUp)
|
||||
and fut not in SKIP_RERAISE_SET
|
||||
):
|
||||
if not isinstance(exc, GraphBubbleUp) and fut not in SKIP_RERAISE_SET:
|
||||
return True
|
||||
|
||||
return False
|
||||
@@ -651,9 +493,6 @@ def _panic_or_proceed(
|
||||
*,
|
||||
timeout_exc_cls: type[Exception] = TimeoutError,
|
||||
panic: bool = True,
|
||||
handled_exception_ids: set[int] | None = None,
|
||||
handled_futures: Collection[concurrent.futures.Future[Any] | asyncio.Future[Any]]
|
||||
| None = None,
|
||||
) -> None:
|
||||
"""Cancel remaining tasks if any failed, re-raise exception if panic is True."""
|
||||
done: set[concurrent.futures.Future[Any] | asyncio.Future[Any]] = set()
|
||||
@@ -670,10 +509,6 @@ def _panic_or_proceed(
|
||||
# if any task failed
|
||||
fut = done.pop()
|
||||
if exc := _exception(fut):
|
||||
if fut in (handled_futures or set()):
|
||||
continue
|
||||
if id(exc) in (handled_exception_ids or set()):
|
||||
continue
|
||||
# cancel all pending tasks
|
||||
while inflight:
|
||||
inflight.pop().cancel()
|
||||
|
||||
@@ -30,7 +30,6 @@ 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,
|
||||
@@ -42,7 +41,6 @@ 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,
|
||||
@@ -113,7 +111,6 @@ from langgraph.config import get_config
|
||||
from langgraph.constants import END
|
||||
from langgraph.errors import (
|
||||
ErrorCode,
|
||||
GraphDrained,
|
||||
GraphRecursionError,
|
||||
InvalidUpdateError,
|
||||
create_error_message,
|
||||
@@ -159,7 +156,6 @@ from langgraph.pregel.protocol import PregelProtocol, StreamChunk, StreamProtoco
|
||||
from langgraph.runtime import (
|
||||
DEFAULT_RUNTIME,
|
||||
BaseUser,
|
||||
RunControl,
|
||||
Runtime,
|
||||
ServerInfo,
|
||||
)
|
||||
@@ -374,30 +370,11 @@ 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_events(version="v3")` asks the graph for exactly that union — no hardcoded
|
||||
`stream_v2` 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.
|
||||
"""
|
||||
@@ -427,14 +404,14 @@ def _normalize_stream_transformer_factories(
|
||||
for spec in specs or ():
|
||||
if isinstance(spec, StreamTransformer):
|
||||
raise TypeError(
|
||||
"stream_events(version='v3') transformers must be scope-aware callables, "
|
||||
"stream_v2 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_events(version='v3') transformers must be scope-aware callables, "
|
||||
"stream_v2 transformers must be scope-aware callables, "
|
||||
f"got {type(spec).__name__}."
|
||||
)
|
||||
|
||||
@@ -751,7 +728,6 @@ class Pregel(
|
||||
name: str = "LangGraph"
|
||||
|
||||
trigger_to_nodes: Mapping[str, Sequence[str]]
|
||||
node_error_handler_map: Mapping[str, str]
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
@@ -776,7 +752,6 @@ class Pregel(
|
||||
context_schema: type[ContextT] | None = None,
|
||||
config: RunnableConfig | None = None,
|
||||
trigger_to_nodes: Mapping[str, Sequence[str]] | None = None,
|
||||
node_error_handler_map: Mapping[str, str] | None = None,
|
||||
name: str = "LangGraph",
|
||||
stream_transformers: Sequence[Callable[[tuple[str, ...]], Any]] | None = None,
|
||||
**deprecated_kwargs: Unpack[DeprecatedKwargs],
|
||||
@@ -824,7 +799,6 @@ class Pregel(
|
||||
self.context_schema = context_schema
|
||||
self.config = config
|
||||
self.trigger_to_nodes = trigger_to_nodes or {}
|
||||
self.node_error_handler_map = node_error_handler_map or {}
|
||||
self.name = name
|
||||
self.stream_transformers: tuple[Callable[[tuple[str, ...]], Any], ...] = tuple(
|
||||
stream_transformers or ()
|
||||
@@ -2596,7 +2570,6 @@ class Pregel(
|
||||
interrupt_before: All | Sequence[str] | None = None,
|
||||
interrupt_after: All | Sequence[str] | None = None,
|
||||
durability: Durability | None = None,
|
||||
control: RunControl | None = None,
|
||||
subgraphs: bool = False,
|
||||
debug: bool | None = None,
|
||||
version: Literal["v2"],
|
||||
@@ -2616,7 +2589,6 @@ class Pregel(
|
||||
interrupt_before: All | Sequence[str] | None = None,
|
||||
interrupt_after: All | Sequence[str] | None = None,
|
||||
durability: Durability | None = None,
|
||||
control: RunControl | None = None,
|
||||
subgraphs: bool = False,
|
||||
debug: bool | None = None,
|
||||
version: Literal["v1"] = ...,
|
||||
@@ -2635,7 +2607,6 @@ class Pregel(
|
||||
interrupt_before: All | Sequence[str] | None = None,
|
||||
interrupt_after: All | Sequence[str] | None = None,
|
||||
durability: Durability | None = None,
|
||||
control: RunControl | None = None,
|
||||
subgraphs: bool = False,
|
||||
debug: bool | None = None,
|
||||
version: Literal["v1", "v2"] = "v1",
|
||||
@@ -2680,7 +2651,6 @@ class Pregel(
|
||||
- `"sync"`: Changes are persisted synchronously before the next step starts.
|
||||
- `"async"`: Changes are persisted asynchronously while the next step executes.
|
||||
- `"exit"`: Changes are persisted only when the graph exits.
|
||||
control: Optional run control used to request cooperative drain.
|
||||
subgraphs: Whether to stream events from inside subgraphs, defaults to `False`.
|
||||
|
||||
If `True`, the events will be emitted as tuples `(namespace, data)`,
|
||||
@@ -2845,7 +2815,6 @@ class Pregel(
|
||||
previous=None,
|
||||
execution_info=None,
|
||||
server_info=server_info,
|
||||
control=control or parent_runtime.control or RunControl(),
|
||||
)
|
||||
runtime = parent_runtime.merge(runtime)
|
||||
config[CONF][CONFIG_KEY_RUNTIME] = runtime
|
||||
@@ -2895,8 +2864,6 @@ class Pregel(
|
||||
),
|
||||
put_writes=weakref.WeakMethod(loop.put_writes),
|
||||
node_finished=config[CONF].get(CONFIG_KEY_NODE_FINISHED),
|
||||
node_error_handler_map=self.node_error_handler_map,
|
||||
schedule_error_handler=loop.schedule_error_handler,
|
||||
)
|
||||
# enable subgraph streaming
|
||||
if subgraphs:
|
||||
@@ -2978,10 +2945,6 @@ class Pregel(
|
||||
error_code=ErrorCode.GRAPH_RECURSION_LIMIT,
|
||||
)
|
||||
raise GraphRecursionError(msg)
|
||||
elif loop.status == "draining":
|
||||
if loop.control is None:
|
||||
raise RuntimeError("Draining status requires run control")
|
||||
raise GraphDrained(loop.control.drain_reason or "shutdown")
|
||||
# set final channel values as run output
|
||||
run_manager.on_chain_end(loop.output)
|
||||
except BaseException as e:
|
||||
@@ -3002,7 +2965,6 @@ class Pregel(
|
||||
interrupt_before: All | Sequence[str] | None = None,
|
||||
interrupt_after: All | Sequence[str] | None = None,
|
||||
durability: Durability | None = None,
|
||||
control: RunControl | None = None,
|
||||
subgraphs: bool = False,
|
||||
debug: bool | None = None,
|
||||
version: Literal["v2"],
|
||||
@@ -3022,7 +2984,6 @@ class Pregel(
|
||||
interrupt_before: All | Sequence[str] | None = None,
|
||||
interrupt_after: All | Sequence[str] | None = None,
|
||||
durability: Durability | None = None,
|
||||
control: RunControl | None = None,
|
||||
subgraphs: bool = False,
|
||||
debug: bool | None = None,
|
||||
version: Literal["v1"] = ...,
|
||||
@@ -3041,7 +3002,6 @@ class Pregel(
|
||||
interrupt_before: All | Sequence[str] | None = None,
|
||||
interrupt_after: All | Sequence[str] | None = None,
|
||||
durability: Durability | None = None,
|
||||
control: RunControl | None = None,
|
||||
subgraphs: bool = False,
|
||||
debug: bool | None = None,
|
||||
version: Literal["v1", "v2"] = "v1",
|
||||
@@ -3086,7 +3046,6 @@ class Pregel(
|
||||
- `"sync"`: Changes are persisted synchronously before the next step starts.
|
||||
- `"async"`: Changes are persisted asynchronously while the next step executes.
|
||||
- `"exit"`: Changes are persisted only when the graph exits.
|
||||
control: Optional run control used to request cooperative drain.
|
||||
subgraphs: Whether to stream events from inside subgraphs, defaults to `False`.
|
||||
|
||||
If `True`, the events will be emitted as tuples `(namespace, data)`,
|
||||
@@ -3286,7 +3245,6 @@ class Pregel(
|
||||
previous=None,
|
||||
execution_info=None,
|
||||
server_info=server_info,
|
||||
control=control or parent_runtime.control or RunControl(),
|
||||
)
|
||||
runtime = parent_runtime.merge(runtime)
|
||||
config[CONF][CONFIG_KEY_RUNTIME] = runtime
|
||||
@@ -3348,8 +3306,6 @@ class Pregel(
|
||||
put_writes=weakref.WeakMethod(loop.put_writes),
|
||||
use_astream=do_stream,
|
||||
node_finished=config[CONF].get(CONFIG_KEY_NODE_FINISHED),
|
||||
node_error_handler_map=self.node_error_handler_map,
|
||||
aschedule_error_handler=loop.aschedule_error_handler,
|
||||
)
|
||||
# enable subgraph streaming
|
||||
if subgraphs:
|
||||
@@ -3457,10 +3413,6 @@ class Pregel(
|
||||
error_code=ErrorCode.GRAPH_RECURSION_LIMIT,
|
||||
)
|
||||
raise GraphRecursionError(msg)
|
||||
elif loop.status == "draining":
|
||||
if loop.control is None:
|
||||
raise RuntimeError("Draining status requires run control")
|
||||
raise GraphDrained(loop.control.drain_reason or "shutdown")
|
||||
# set final channel values as run output
|
||||
await run_manager.on_chain_end(loop.output)
|
||||
except BaseException as e:
|
||||
@@ -3468,29 +3420,49 @@ class Pregel(
|
||||
await asyncio.shield(run_manager.on_chain_error(e))
|
||||
raise
|
||||
|
||||
@beta(message="The v3 streaming protocol on Pregel is experimental.")
|
||||
def _pregel_stream_v3(
|
||||
def stream_v2(
|
||||
self,
|
||||
input: InputT | Command | None,
|
||||
config: RunnableConfig | None = None,
|
||||
*,
|
||||
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:
|
||||
"""Internal v3 sync streaming implementation. Public entry: stream_events(version='v3').
|
||||
"""Start a sync v2 streaming run driven by transformer projections.
|
||||
|
||||
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).
|
||||
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.
|
||||
|
||||
!!! warning
|
||||
`run.output`, `run.interrupted` and `run.interrupts` work
|
||||
regardless of which transformers are registered.
|
||||
|
||||
The v3 streaming protocol is experimental and may change.
|
||||
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.
|
||||
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.
|
||||
"""
|
||||
parent_ns = _resolve_parent_ns(self.config, config)
|
||||
compiled_factories = _normalize_stream_transformer_factories(
|
||||
@@ -3518,35 +3490,43 @@ class Pregel(
|
||||
version="v2",
|
||||
interrupt_before=interrupt_before,
|
||||
interrupt_after=interrupt_after,
|
||||
control=control,
|
||||
**kwargs,
|
||||
)
|
||||
)
|
||||
return GraphRunStream(graph_iter, mux)
|
||||
|
||||
@beta(message="The v3 streaming protocol on Pregel is experimental.")
|
||||
async def _apregel_stream_v3(
|
||||
async def astream_v2(
|
||||
self,
|
||||
input: InputT | Command | None,
|
||||
config: RunnableConfig | None = None,
|
||||
*,
|
||||
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:
|
||||
"""Internal v3 async streaming implementation. Public entry: astream_events(version='v3').
|
||||
"""Async counterpart to `stream_v2`.
|
||||
|
||||
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).
|
||||
Returns an `AsyncGraphRunStream` whose projections can be awaited
|
||||
concurrently; each subscribed cursor drives the pump when its
|
||||
buffer is empty.
|
||||
|
||||
!!! warning
|
||||
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.
|
||||
|
||||
The v3 streaming protocol is experimental and may change.
|
||||
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.
|
||||
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.
|
||||
"""
|
||||
parent_ns = _resolve_parent_ns(self.config, config)
|
||||
compiled_factories = _normalize_stream_transformer_factories(
|
||||
@@ -3573,179 +3553,9 @@ class Pregel(
|
||||
version="v2",
|
||||
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,
|
||||
@@ -3759,7 +3569,6 @@ class Pregel(
|
||||
interrupt_before: All | Sequence[str] | None = None,
|
||||
interrupt_after: All | Sequence[str] | None = None,
|
||||
durability: Durability | None = None,
|
||||
control: RunControl | None = None,
|
||||
version: Literal["v2"],
|
||||
**kwargs: Any,
|
||||
) -> GraphOutput[OutputT]: ...
|
||||
@@ -3777,7 +3586,6 @@ class Pregel(
|
||||
interrupt_before: All | Sequence[str] | None = None,
|
||||
interrupt_after: All | Sequence[str] | None = None,
|
||||
durability: Durability | None = None,
|
||||
control: RunControl | None = None,
|
||||
version: Literal["v2"],
|
||||
**kwargs: Any,
|
||||
) -> list[StreamPart[StateT, OutputT]]: ...
|
||||
@@ -3795,7 +3603,6 @@ class Pregel(
|
||||
interrupt_before: All | Sequence[str] | None = None,
|
||||
interrupt_after: All | Sequence[str] | None = None,
|
||||
durability: Durability | None = None,
|
||||
control: RunControl | None = None,
|
||||
version: Literal["v1"] = ...,
|
||||
**kwargs: Any,
|
||||
) -> dict[str, Any] | Any: ...
|
||||
@@ -3812,7 +3619,6 @@ class Pregel(
|
||||
interrupt_before: All | Sequence[str] | None = None,
|
||||
interrupt_after: All | Sequence[str] | None = None,
|
||||
durability: Durability | None = None,
|
||||
control: RunControl | None = None,
|
||||
version: Literal["v1", "v2"] = "v1",
|
||||
**kwargs: Any,
|
||||
) -> dict[str, Any] | Any:
|
||||
@@ -3837,7 +3643,6 @@ class Pregel(
|
||||
- `"sync"`: Changes are persisted synchronously before the next step starts.
|
||||
- `"async"`: Changes are persisted asynchronously while the next step executes.
|
||||
- `"exit"`: Changes are persisted only when the graph exits.
|
||||
control: Optional run control used to request cooperative drain.
|
||||
version: The streaming format version. `"v1"` (default) returns the
|
||||
traditional format, `"v2"` returns `StreamPart` typed dicts when
|
||||
`stream_mode` is not `"values"`.
|
||||
@@ -3865,7 +3670,6 @@ class Pregel(
|
||||
interrupt_before=interrupt_before,
|
||||
interrupt_after=interrupt_after,
|
||||
durability=durability,
|
||||
control=control,
|
||||
version=version,
|
||||
**kwargs,
|
||||
):
|
||||
@@ -3889,7 +3693,6 @@ class Pregel(
|
||||
interrupt_before=interrupt_before,
|
||||
interrupt_after=interrupt_after,
|
||||
durability=durability,
|
||||
control=control,
|
||||
**kwargs,
|
||||
):
|
||||
if stream_mode == "values":
|
||||
@@ -3936,7 +3739,6 @@ class Pregel(
|
||||
interrupt_before: All | Sequence[str] | None = None,
|
||||
interrupt_after: All | Sequence[str] | None = None,
|
||||
durability: Durability | None = None,
|
||||
control: RunControl | None = None,
|
||||
version: Literal["v2"],
|
||||
**kwargs: Any,
|
||||
) -> GraphOutput[OutputT]: ...
|
||||
@@ -3954,7 +3756,6 @@ class Pregel(
|
||||
interrupt_before: All | Sequence[str] | None = None,
|
||||
interrupt_after: All | Sequence[str] | None = None,
|
||||
durability: Durability | None = None,
|
||||
control: RunControl | None = None,
|
||||
version: Literal["v2"],
|
||||
**kwargs: Any,
|
||||
) -> list[StreamPart[StateT, OutputT]]: ...
|
||||
@@ -3972,7 +3773,6 @@ class Pregel(
|
||||
interrupt_before: All | Sequence[str] | None = None,
|
||||
interrupt_after: All | Sequence[str] | None = None,
|
||||
durability: Durability | None = None,
|
||||
control: RunControl | None = None,
|
||||
version: Literal["v1"] = ...,
|
||||
**kwargs: Any,
|
||||
) -> dict[str, Any] | Any: ...
|
||||
@@ -3989,7 +3789,6 @@ class Pregel(
|
||||
interrupt_before: All | Sequence[str] | None = None,
|
||||
interrupt_after: All | Sequence[str] | None = None,
|
||||
durability: Durability | None = None,
|
||||
control: RunControl | None = None,
|
||||
version: Literal["v1", "v2"] = "v1",
|
||||
**kwargs: Any,
|
||||
) -> dict[str, Any] | Any:
|
||||
@@ -4014,7 +3813,6 @@ class Pregel(
|
||||
- `"sync"`: Changes are persisted synchronously before the next step starts.
|
||||
- `"async"`: Changes are persisted asynchronously while the next step executes.
|
||||
- `"exit"`: Changes are persisted only when the graph exits.
|
||||
control: Optional run control used to request cooperative drain.
|
||||
version: The streaming format version. `"v1"` (default) returns the
|
||||
traditional format, `"v2"` returns `StreamPart` typed dicts when
|
||||
`stream_mode` is not `"values"`.
|
||||
@@ -4042,7 +3840,6 @@ class Pregel(
|
||||
interrupt_before=interrupt_before,
|
||||
interrupt_after=interrupt_after,
|
||||
durability=durability,
|
||||
control=control,
|
||||
version=version,
|
||||
**kwargs,
|
||||
):
|
||||
@@ -4066,7 +3863,6 @@ class Pregel(
|
||||
interrupt_before=interrupt_before,
|
||||
interrupt_after=interrupt_after,
|
||||
durability=durability,
|
||||
control=control,
|
||||
**kwargs,
|
||||
):
|
||||
if stream_mode == "values":
|
||||
@@ -4240,7 +4036,7 @@ def _resolve_parent_ns(
|
||||
) -> tuple[str, ...]:
|
||||
"""Return the checkpoint namespace the caller is running under.
|
||||
|
||||
`stream_events(version="v3")` uses this to scope its native projections
|
||||
`stream_v2` 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
|
||||
|
||||
@@ -16,7 +16,6 @@ from langgraph.typing import ContextT
|
||||
__all__ = (
|
||||
"BaseUser",
|
||||
"ExecutionInfo",
|
||||
"RunControl",
|
||||
"Runtime",
|
||||
"ServerInfo",
|
||||
"get_runtime",
|
||||
@@ -76,34 +75,6 @@ class ServerInfo:
|
||||
"""
|
||||
|
||||
|
||||
class RunControl:
|
||||
"""Run-scoped control surface for cooperative draining.
|
||||
|
||||
Intended for a single graph run. Create a fresh `RunControl` per run;
|
||||
reusing a control after `request_drain()` leaves it drained.
|
||||
|
||||
Safe to call from any thread: the drain request is represented by a
|
||||
single attribute write, so no lock is needed for this signal.
|
||||
If more mutable state is added here, add synchronization.
|
||||
"""
|
||||
|
||||
__slots__ = ("_drain_reason",)
|
||||
|
||||
def __init__(self) -> None:
|
||||
self._drain_reason: str | None = None
|
||||
|
||||
def request_drain(self, reason: str = "shutdown") -> None:
|
||||
self._drain_reason = reason
|
||||
|
||||
@property
|
||||
def drain_requested(self) -> bool:
|
||||
return self._drain_reason is not None
|
||||
|
||||
@property
|
||||
def drain_reason(self) -> str | None:
|
||||
return self._drain_reason
|
||||
|
||||
|
||||
def _no_op_stream_writer(_: Any) -> None: ...
|
||||
|
||||
|
||||
@@ -118,7 +89,6 @@ class _RuntimeOverrides(TypedDict, Generic[ContextT], total=False):
|
||||
previous: Any
|
||||
execution_info: ExecutionInfo
|
||||
server_info: ServerInfo | None
|
||||
control: RunControl | None
|
||||
|
||||
|
||||
@dataclass(**_DC_KWARGS)
|
||||
@@ -197,7 +167,7 @@ class Runtime(Generic[ContextT]):
|
||||
|
||||
context: ContextT = field(default=None) # type: ignore[assignment]
|
||||
"""Static context for the graph run, like `user_id`, `db_conn`, etc.
|
||||
|
||||
|
||||
Can also be thought of as 'run dependencies'."""
|
||||
|
||||
store: BaseStore | None = field(default=None)
|
||||
@@ -218,7 +188,7 @@ class Runtime(Generic[ContextT]):
|
||||
|
||||
previous: Any = field(default=None)
|
||||
"""The previous return value for the given thread.
|
||||
|
||||
|
||||
Only available with the functional API when a checkpointer is provided.
|
||||
"""
|
||||
|
||||
@@ -230,13 +200,6 @@ class Runtime(Generic[ContextT]):
|
||||
server_info: ServerInfo | None = field(default=None)
|
||||
"""Metadata injected by LangGraph Server. None when running open-source LangGraph without LangSmith deployments."""
|
||||
|
||||
control: RunControl | None = field(default=None)
|
||||
"""Run-scoped control plane for cooperative draining.
|
||||
|
||||
Populated automatically during graph runs. None outside an active
|
||||
graph runtime.
|
||||
"""
|
||||
|
||||
def merge(self, other: Runtime[ContextT]) -> Runtime[ContextT]:
|
||||
"""Merge two runtimes together.
|
||||
|
||||
@@ -254,7 +217,6 @@ class Runtime(Generic[ContextT]):
|
||||
previous=self.previous if other.previous is None else other.previous,
|
||||
execution_info=other.execution_info or self.execution_info,
|
||||
server_info=other.server_info or self.server_info,
|
||||
control=other.control or self.control,
|
||||
)
|
||||
|
||||
def override(
|
||||
@@ -273,14 +235,6 @@ class Runtime(Generic[ContextT]):
|
||||
execution_info=self.execution_info.patch(**overrides),
|
||||
)
|
||||
|
||||
@property
|
||||
def drain_requested(self) -> bool:
|
||||
return self.control.drain_requested if self.control is not None else False
|
||||
|
||||
@property
|
||||
def drain_reason(self) -> str | None:
|
||||
return self.control.drain_reason if self.control is not None else None
|
||||
|
||||
|
||||
DEFAULT_RUNTIME = Runtime(
|
||||
context=None,
|
||||
@@ -289,7 +243,6 @@ DEFAULT_RUNTIME = Runtime(
|
||||
heartbeat=_no_op_heartbeat,
|
||||
previous=None,
|
||||
execution_info=None,
|
||||
control=None,
|
||||
)
|
||||
|
||||
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
"""Streaming infrastructure for LangGraph.
|
||||
|
||||
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
|
||||
Compile a graph with `transformers=[...]` and call `graph.stream_v2()` /
|
||||
`graph.astream_v2()` to drive a transformer pipeline that projects the
|
||||
graph's raw events into ergonomic per-channel streams.
|
||||
"""
|
||||
|
||||
|
||||
@@ -91,11 +91,9 @@ class StreamMux:
|
||||
self._assign_seq = _assign_seq
|
||||
self._events: StreamChannel[ProtocolEvent] = StreamChannel()
|
||||
self._events._bind(is_async=is_async)
|
||||
self._events._bind_mux(self)
|
||||
self._transformers: list[StreamTransformer] = []
|
||||
self._channels: list[StreamChannel[Any]] = []
|
||||
self._seq = 0
|
||||
self._push_seq = 0
|
||||
|
||||
self.extensions: dict[str, Any] = {}
|
||||
self.native_keys: set[str] = set()
|
||||
@@ -126,10 +124,6 @@ class StreamMux:
|
||||
"""Return the transformer that contributed `key` to the projection."""
|
||||
return self._transformer_by_key.get(key)
|
||||
|
||||
def _next_push_seq(self) -> int:
|
||||
self._push_seq += 1
|
||||
return self._push_seq
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# Pump wiring + mini-mux nesting
|
||||
# ------------------------------------------------------------------
|
||||
@@ -455,7 +449,6 @@ class StreamMux:
|
||||
for value in projection.values():
|
||||
if isinstance(value, StreamChannel):
|
||||
value._bind(is_async=self.is_async)
|
||||
value._bind_mux(self)
|
||||
self._channels.append(value)
|
||||
if value.name is not None:
|
||||
method = value.name if native else f"custom:{value.name}"
|
||||
|
||||
@@ -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_events(version="v3")` run requests from the graph.
|
||||
which modes a `stream_v2` run requests from the graph.
|
||||
Empty tuple means the transformer consumes only synthetic
|
||||
events (or is purely passive).
|
||||
"""
|
||||
|
||||
@@ -5,8 +5,6 @@ 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
|
||||
@@ -27,7 +25,6 @@ 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.
|
||||
|
||||
@@ -41,11 +38,6 @@ 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__(
|
||||
@@ -193,25 +185,28 @@ class GraphRunStream:
|
||||
return iter(self._mux._events)
|
||||
|
||||
def interleave(self, *names: str) -> Iterator[tuple[str, Any]]:
|
||||
"""Iterate multiple projections in arrival order, yielding ``(name, item)``.
|
||||
"""Iterate multiple projections round-robin, yielding ``(name, item)``.
|
||||
|
||||
Items are ordered by a monotonic push stamp assigned when each
|
||||
transformer pushes into its `StreamChannel`. This gives strict
|
||||
arrival ordering across projections, unlike round-robin.
|
||||
Each turn advances one projection's cursor; when a cursor's buffer
|
||||
is empty, pulling from it drives the pump once, which fans out to
|
||||
every subscribed projection log. Projections whose items aren't
|
||||
consumed on this turn sit in their own buffers only until the next
|
||||
turn reaches them, bounding memory by the skew between projection
|
||||
rates rather than letting any single log grow to the full run
|
||||
length.
|
||||
|
||||
Projections are exhausted independently; a projection that finishes
|
||||
early drops out of the rotation while others continue. The overall
|
||||
iterator ends once all named projections are done.
|
||||
|
||||
Args:
|
||||
*names: Projection keys to interleave. Must match keys in
|
||||
``extensions``.
|
||||
|
||||
Yields:
|
||||
``(name, item)`` tuples in arrival order across the named
|
||||
``(name, item)`` tuples in round-robin order across the named
|
||||
projections.
|
||||
|
||||
Each named channel is locked for the duration of iteration and
|
||||
released when the generator completes, is closed, or raises.
|
||||
Channels cannot be subscribed concurrently — use `.tee(n)` if
|
||||
you need fan-out.
|
||||
|
||||
Raises:
|
||||
KeyError: If a name doesn't match a registered projection.
|
||||
|
||||
@@ -224,73 +219,22 @@ class GraphRunStream:
|
||||
print("val:", item)
|
||||
```
|
||||
"""
|
||||
from langgraph.stream.stream_channel import StreamChannel
|
||||
|
||||
channels: dict[str, StreamChannel[Any]] = {}
|
||||
try:
|
||||
for name in names:
|
||||
ch = self.extensions[name]
|
||||
if not isinstance(ch, StreamChannel):
|
||||
raise TypeError(
|
||||
f"interleave() requires StreamChannel projections, "
|
||||
f"got {type(ch).__name__} for {name!r}"
|
||||
)
|
||||
if ch._is_async is None:
|
||||
raise TypeError(
|
||||
f"StreamChannel {name!r} has not been bound yet. "
|
||||
"Register the transformer with a StreamMux first."
|
||||
)
|
||||
if ch._is_async:
|
||||
raise TypeError(
|
||||
f"StreamChannel {name!r} is bound to async mode — "
|
||||
"sync interleave() cannot consume async channels."
|
||||
)
|
||||
if ch._subscribed:
|
||||
raise RuntimeError(
|
||||
f"StreamChannel {name!r} already has a subscriber; "
|
||||
"use .tee(n) for fan-out."
|
||||
)
|
||||
ch._subscribed = True
|
||||
channels[name] = ch
|
||||
|
||||
done: set[str] = set()
|
||||
|
||||
while len(done) < len(channels):
|
||||
best: tuple[int, str] | None = None
|
||||
for name, ch in channels.items():
|
||||
if name in done:
|
||||
continue
|
||||
if ch._closed and not ch._items:
|
||||
if ch._error is not None:
|
||||
raise ch._error
|
||||
done.add(name)
|
||||
continue
|
||||
if ch._items:
|
||||
stamp = ch._items[0][0]
|
||||
if best is None or stamp < best[0]:
|
||||
best = (stamp, name)
|
||||
|
||||
if best is not None:
|
||||
_stamp, item = channels[best[1]]._items.popleft()
|
||||
yield (best[1], item)
|
||||
else:
|
||||
pump = self._mux._pump_fn
|
||||
if pump is None or not pump():
|
||||
before = len(done)
|
||||
for name, ch in channels.items():
|
||||
if name not in done and not ch._items:
|
||||
if ch._closed:
|
||||
if ch._error is not None:
|
||||
raise ch._error
|
||||
done.add(name)
|
||||
if len(done) == before:
|
||||
break
|
||||
finally:
|
||||
for ch in channels.values():
|
||||
ch._subscribed = False
|
||||
cursors: dict[str, Iterator[Any]] = {
|
||||
name: iter(self.extensions[name]) for name in names
|
||||
}
|
||||
done: set[str] = set()
|
||||
while len(done) < len(cursors):
|
||||
for name, cursor in cursors.items():
|
||||
if name in done:
|
||||
continue
|
||||
try:
|
||||
item = next(cursor)
|
||||
except StopIteration:
|
||||
done.add(name)
|
||||
continue
|
||||
yield (name, item)
|
||||
|
||||
|
||||
@beta(message="The v3 streaming protocol on Pregel is experimental.")
|
||||
class AsyncGraphRunStream:
|
||||
"""Async run stream with caller-driven pumping.
|
||||
|
||||
@@ -312,11 +256,6 @@ class AsyncGraphRunStream:
|
||||
async for msg in run.messages:
|
||||
...
|
||||
```
|
||||
|
||||
!!! warning
|
||||
|
||||
Awaited from `Pregel.astream_events(version="v3")`, which is
|
||||
experimental and may change.
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
|
||||
@@ -3,10 +3,7 @@ from __future__ import annotations
|
||||
import asyncio
|
||||
from collections import deque
|
||||
from collections.abc import AsyncIterator, Awaitable, Callable, Iterator
|
||||
from typing import TYPE_CHECKING, Generic, TypeVar
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from langgraph.stream._mux import StreamMux
|
||||
from typing import Generic, TypeVar
|
||||
|
||||
T = TypeVar("T")
|
||||
|
||||
@@ -67,7 +64,7 @@ class StreamChannel(Generic[T]):
|
||||
if maxlen is not None and maxlen <= 0:
|
||||
raise ValueError("StreamChannel maxlen must be a positive int or None")
|
||||
self.name = name
|
||||
self._items: deque[tuple[int, T]] = deque()
|
||||
self._items: deque[T] = deque()
|
||||
self._maxlen: int | None = maxlen
|
||||
self._closed = False
|
||||
self._error: BaseException | None = None
|
||||
@@ -80,15 +77,11 @@ class StreamChannel(Generic[T]):
|
||||
self._arequest_more: Callable[[], Awaitable[bool]] | None = None
|
||||
|
||||
self._wire_fn: Callable[[T], None] | None = None
|
||||
self._mux: StreamMux | None = None
|
||||
|
||||
# ------------------------------------------------------------------
|
||||
# Binding
|
||||
# ------------------------------------------------------------------
|
||||
|
||||
def _bind_mux(self, mux: StreamMux) -> None:
|
||||
self._mux = mux
|
||||
|
||||
def _bind(self, *, is_async: bool) -> None:
|
||||
"""Bind this channel to sync or async mode.
|
||||
|
||||
@@ -124,18 +117,13 @@ class StreamChannel(Generic[T]):
|
||||
registered, but auto-forwarding always fires so wired events
|
||||
reach the main event log regardless of subscription state.
|
||||
|
||||
Items are stored as `(stamp, item)` tuples where stamp is a
|
||||
monotonic counter from the owning mux. Stamps are stripped by
|
||||
the default cursors; raw stamped tuples are visible on `_items`.
|
||||
|
||||
Raises:
|
||||
RuntimeError: If the channel is closed (and subscribed).
|
||||
"""
|
||||
if self._subscribed:
|
||||
if self._closed:
|
||||
raise RuntimeError("Cannot push to a closed StreamChannel")
|
||||
stamp = self._mux._next_push_seq() if self._mux is not None else 0
|
||||
self._items.append((stamp, item))
|
||||
self._items.append(item)
|
||||
if self._wire_fn is not None:
|
||||
self._wire_fn(item)
|
||||
|
||||
@@ -182,8 +170,7 @@ class StreamChannel(Generic[T]):
|
||||
def _sync_cursor(self) -> Iterator[T]:
|
||||
while True:
|
||||
if self._items:
|
||||
_stamp, item = self._items.popleft()
|
||||
yield item
|
||||
yield self._items.popleft()
|
||||
elif self._closed:
|
||||
if self._error is not None:
|
||||
raise self._error
|
||||
@@ -225,8 +212,7 @@ class StreamChannel(Generic[T]):
|
||||
async def _async_cursor(self) -> AsyncIterator[T]:
|
||||
while True:
|
||||
if self._items:
|
||||
_stamp, item = self._items.popleft()
|
||||
yield item
|
||||
yield self._items.popleft()
|
||||
elif self._closed:
|
||||
if self._error is not None:
|
||||
raise self._error
|
||||
|
||||
@@ -12,7 +12,7 @@ from langchain_core.messages import AIMessageChunk, BaseMessage
|
||||
from langchain_protocol.protocol import MessagesData
|
||||
from typing_extensions import NotRequired, TypedDict
|
||||
|
||||
from langgraph.errors import GraphDrained, GraphInterrupt
|
||||
from langgraph.errors import GraphInterrupt
|
||||
from langgraph.stream._types import ProtocolEvent, StreamTransformer
|
||||
from langgraph.stream.run_stream import AsyncSubgraphRunStream, SubgraphRunStream
|
||||
from langgraph.stream.stream_channel import StreamChannel
|
||||
@@ -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_events(version="v3")` / `astream_events(version="v3")` populate from the caller's
|
||||
checkpoint namespace so that a nested `stream_events(version="v3")` call still
|
||||
`stream_v2` / `astream_v2` populate from the caller's
|
||||
checkpoint namespace so that a nested `stream_v2` 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_events(version="v3")` / `astream_events(version="v3")` via the `on_stream_event`
|
||||
`stream_v2()` / `astream_v2()` 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_events(version="v3")` / `astream_events(version="v3")`. Models called via the legacy
|
||||
`stream_v2()` / `astream_v2()`. 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_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
|
||||
`stream_v2` / `astream_v2` populate from the caller's checkpoint
|
||||
namespace so that a `stream_v2` 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_events(version="v3") to populate this
|
||||
# v1 streaming callers must switch to stream_v2() to populate this
|
||||
# projection.
|
||||
|
||||
return True
|
||||
@@ -327,7 +327,7 @@ class MessagesTransformer(StreamTransformer):
|
||||
self._by_run.clear()
|
||||
|
||||
|
||||
SubgraphStatus = Literal["started", "completed", "failed", "interrupted", "drained"]
|
||||
SubgraphStatus = Literal["started", "completed", "failed", "interrupted"]
|
||||
|
||||
|
||||
def _parse_ns_segment(segment: str) -> tuple[str, str | None]:
|
||||
@@ -472,8 +472,10 @@ class _TasksLifecycleBase(StreamTransformer):
|
||||
self._open.clear()
|
||||
|
||||
def fail(self, err: BaseException) -> None:
|
||||
"""Emit terminal status for any tracked namespace still open."""
|
||||
status, error_str = _status_from_exception(err)
|
||||
"""Emit `failed` / `interrupted` for any tracked namespace still open."""
|
||||
is_interrupt = isinstance(err, GraphInterrupt)
|
||||
status: SubgraphStatus = "interrupted" if is_interrupt else "failed"
|
||||
error_str = None if is_interrupt else str(err)
|
||||
for ns in list(self._open):
|
||||
self._on_terminal(ns, status, error_str)
|
||||
self._open.clear()
|
||||
@@ -481,8 +483,6 @@ class _TasksLifecycleBase(StreamTransformer):
|
||||
|
||||
def _status_from_exception(err: BaseException) -> tuple[SubgraphStatus, str | None]:
|
||||
"""Map a run exception to a subgraph terminal status and error string."""
|
||||
if isinstance(err, GraphDrained):
|
||||
return "drained", None
|
||||
if isinstance(err, GraphInterrupt):
|
||||
return "interrupted", None
|
||||
return "failed", str(err)
|
||||
|
||||
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
|
||||
|
||||
[project]
|
||||
name = "langgraph"
|
||||
version = "1.2.0a7"
|
||||
version = "1.1.10"
|
||||
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>=1.4.0a2,<2",
|
||||
"langgraph-checkpoint>=4.1.0a4,<5.0.0",
|
||||
"langchain-core>=1.3.2,<2",
|
||||
"langgraph-checkpoint>=4.0.3,<5.0.0",
|
||||
"langgraph-sdk>=0.3.0,<0.4.0",
|
||||
"langgraph-prebuilt>=1.1.0a2,<1.2.0",
|
||||
"langgraph-prebuilt>=1.0.12,<1.1.0",
|
||||
"xxhash>=3.5.0",
|
||||
"pydantic>=2.7.4",
|
||||
]
|
||||
|
||||
@@ -3,12 +3,8 @@ from collections.abc import Sequence
|
||||
from typing import Annotated
|
||||
|
||||
import pytest
|
||||
from langchain_core.messages import (
|
||||
AIMessage,
|
||||
AIMessageChunk,
|
||||
HumanMessage,
|
||||
RemoveMessage,
|
||||
)
|
||||
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
|
||||
@@ -21,7 +17,7 @@ from langgraph.channels.topic import Topic
|
||||
from langgraph.channels.untracked_value import UntrackedValue
|
||||
from langgraph.errors import EmptyChannelError, InvalidUpdateError
|
||||
from langgraph.graph import START, StateGraph
|
||||
from langgraph.graph.message import REMOVE_ALL_MESSAGES, _messages_delta_reducer
|
||||
from langgraph.graph.message import _messages_delta_reducer
|
||||
from langgraph.graph.state import _get_channel
|
||||
from langgraph.types import Overwrite
|
||||
|
||||
@@ -144,11 +140,11 @@ def test_delta_channel_basic_two_steps() -> None:
|
||||
|
||||
ch.update([HumanMessage(content="hi", id="h1")])
|
||||
d1 = ch.checkpoint()
|
||||
assert d1 is MISSING
|
||||
assert d1 is DELTA_SENTINEL
|
||||
|
||||
ch.update([AIMessage(content="hello", id="a1")])
|
||||
d2 = ch.checkpoint()
|
||||
assert d2 is MISSING
|
||||
assert d2 is DELTA_SENTINEL
|
||||
|
||||
assert len(ch.get()) == 2
|
||||
assert ch.get()[0].content == "hi"
|
||||
@@ -158,7 +154,7 @@ 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(MISSING)
|
||||
ch = spec.from_checkpoint(DELTA_SENTINEL)
|
||||
ch.replay_writes(
|
||||
[
|
||||
("t0", "messages", HumanMessage(content="hi", id="h1")),
|
||||
@@ -186,7 +182,7 @@ def test_delta_channel_overwrite() -> None:
|
||||
|
||||
ch.update([Overwrite([HumanMessage(content="new", id="h2")])])
|
||||
d = ch.checkpoint()
|
||||
assert d is MISSING
|
||||
assert d is DELTA_SENTINEL
|
||||
assert len(ch.get()) == 1
|
||||
assert ch.get()[0].content == "new"
|
||||
|
||||
@@ -206,7 +202,7 @@ 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(MISSING)
|
||||
ch2 = spec.from_checkpoint(DELTA_SENTINEL)
|
||||
ch2.replay_writes(
|
||||
[
|
||||
("t0", "messages", HumanMessage(content="hi", id="h1")),
|
||||
@@ -226,7 +222,7 @@ 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(MISSING)
|
||||
ch2 = spec.from_checkpoint(DELTA_SENTINEL)
|
||||
ch2.replay_writes(
|
||||
[
|
||||
("t0", "messages", HumanMessage(content="original", id="h1")),
|
||||
@@ -237,125 +233,13 @@ def test_delta_channel_update_by_id_and_replay() -> None:
|
||||
assert ch2.get()[0].content == "updated"
|
||||
|
||||
|
||||
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.
|
||||
"""
|
||||
def test_delta_channel_checkpoint_returns_sentinel() -> None:
|
||||
"""checkpoint() always returns DELTA_SENTINEL regardless of state."""
|
||||
ch = DeltaChannel(_messages_delta_reducer, list).from_checkpoint(MISSING)
|
||||
|
||||
# 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_messages_delta_reducer_assigns_uuid_to_id_less_messages() -> None:
|
||||
"""Messages without IDs get UUIDs assigned, matching add_messages behavior.
|
||||
|
||||
Without UUID assignment, RemoveMessage tombstoning fails on messages that
|
||||
were created without explicit IDs.
|
||||
"""
|
||||
m1 = HumanMessage(content="hi")
|
||||
m2 = AIMessage(content="hello")
|
||||
assert m1.id is None
|
||||
assert m2.id is None
|
||||
|
||||
result = _messages_delta_reducer([], [[m1, m2]])
|
||||
assert len(result) == 2
|
||||
assert result[0].id is not None
|
||||
assert result[1].id is not None
|
||||
|
||||
# RemoveMessage tombstoning must work on the now-assigned IDs.
|
||||
result2 = _messages_delta_reducer(result, [RemoveMessage(id=result[1].id)])
|
||||
assert len(result2) == 1
|
||||
assert result2[0].content == "hi"
|
||||
|
||||
|
||||
def test_messages_delta_reducer_remove_all_messages() -> None:
|
||||
"""REMOVE_ALL_MESSAGES sentinel clears all state and preceding writes."""
|
||||
state = [HumanMessage(content="old", id="h1"), AIMessage(content="prior", id="a1")]
|
||||
|
||||
# Sentinel mid-batch: everything before it (including state) is discarded.
|
||||
result = _messages_delta_reducer(
|
||||
state,
|
||||
[
|
||||
[
|
||||
RemoveMessage(id=REMOVE_ALL_MESSAGES),
|
||||
HumanMessage(content="fresh", id="h2"),
|
||||
]
|
||||
],
|
||||
)
|
||||
assert len(result) == 1
|
||||
assert result[0].content == "fresh"
|
||||
|
||||
# Batching-invariant: split across two calls must equal one combined call.
|
||||
step1 = _messages_delta_reducer(state, [[RemoveMessage(id=REMOVE_ALL_MESSAGES)]])
|
||||
step2 = _messages_delta_reducer(step1, [[HumanMessage(content="fresh", id="h2")]])
|
||||
assert step2 == result
|
||||
|
||||
|
||||
def test_messages_delta_reducer_coerces_message_chunks() -> None:
|
||||
"""BaseMessageChunk writes are coerced to full messages."""
|
||||
chunk = AIMessageChunk(content="hello", id="a1")
|
||||
result = _messages_delta_reducer([], [[chunk]])
|
||||
assert len(result) == 1
|
||||
assert not isinstance(result[0], AIMessageChunk)
|
||||
assert result[0].content == "hello"
|
||||
assert result[0].id == "a1"
|
||||
|
||||
|
||||
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
|
||||
assert ch.checkpoint() is DELTA_SENTINEL
|
||||
|
||||
ch.update([HumanMessage(content="hi", id="h1")])
|
||||
assert ch.checkpoint() is MISSING
|
||||
assert ch.checkpoint() is DELTA_SENTINEL
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
@@ -363,13 +247,12 @@ def test_delta_channel_checkpoint_returns_missing() -> None:
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def test_delta_channel_snapshot_version_based() -> None:
|
||||
"""Snapshots fire when a channel accumulates `snapshot_frequency` updates.
|
||||
def test_delta_channel_snapshot_step_based() -> None:
|
||||
"""Snapshots fire on every Nth step regardless of whether the channel was written.
|
||||
|
||||
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.
|
||||
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.
|
||||
"""
|
||||
|
||||
class State(TypedDict):
|
||||
@@ -412,14 +295,51 @@ def test_delta_channel_snapshot_version_based() -> None:
|
||||
assert len(state.values["messages"]) == 12 # 6 human + 6 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".
|
||||
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
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
@@ -451,7 +371,8 @@ def test_delta_channel_inmemory_saver_assembles_writes() -> None:
|
||||
|
||||
saved = saver.get_tuple(config)
|
||||
assert saved is not None
|
||||
assert "messages" not in saved.checkpoint["channel_values"]
|
||||
assert "messages" in saved.checkpoint["channel_values"]
|
||||
assert saved.checkpoint["channel_values"]["messages"] is DELTA_SENTINEL
|
||||
|
||||
state = graph.get_state(config)
|
||||
assert len(state.values["messages"]) == 4 # 2 human + 2 AI
|
||||
@@ -494,11 +415,11 @@ def test_delta_channel_dict_reducer_basic_updates() -> None:
|
||||
|
||||
ch.update([{"a": 1}])
|
||||
d1 = ch.checkpoint()
|
||||
assert d1 is MISSING
|
||||
assert d1 is DELTA_SENTINEL
|
||||
|
||||
ch.update([{"b": 2}])
|
||||
d2 = ch.checkpoint()
|
||||
assert d2 is MISSING
|
||||
assert d2 is DELTA_SENTINEL
|
||||
|
||||
assert ch.get() == {"a": 1, "b": 2}
|
||||
|
||||
@@ -513,7 +434,7 @@ def test_delta_channel_dict_reducer_writes_reconstruction() -> None:
|
||||
return result
|
||||
|
||||
spec = _delta_channel_with_type(merge_dicts, dict)
|
||||
ch = spec.from_checkpoint(MISSING)
|
||||
ch = spec.from_checkpoint(DELTA_SENTINEL)
|
||||
ch.replay_writes(
|
||||
[
|
||||
("t0", "files", {"a": 1}),
|
||||
@@ -543,7 +464,7 @@ 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(MISSING)
|
||||
ch2 = spec.from_checkpoint(DELTA_SENTINEL)
|
||||
ch2.replay_writes(
|
||||
[
|
||||
("t0", "files", {"file1.py": "content1", "file2.py": "content2"}),
|
||||
@@ -578,7 +499,7 @@ 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(MISSING)
|
||||
ch = spec.from_checkpoint(DELTA_SENTINEL)
|
||||
ch.replay_writes(
|
||||
[
|
||||
("t0", "files", {"a": 1}),
|
||||
@@ -641,7 +562,7 @@ def test_delta_channel_dict_reducer_end_to_end_filesystem() -> None:
|
||||
|
||||
saved = saver.get_tuple(config)
|
||||
assert saved is not None
|
||||
assert "files" not in saved.checkpoint["channel_values"]
|
||||
assert saved.checkpoint["channel_values"]["files"] is DELTA_SENTINEL
|
||||
state = graph.get_state(config)
|
||||
assert state.values["files"] == {
|
||||
"/doc_1.txt": "content for turn 1",
|
||||
@@ -719,7 +640,7 @@ 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 `MISSING` absence sentinel means 'no seed'; passing `None`
|
||||
The DELTA_SENTINEL / MISSING sentinels mean 'no seed'; passing `None`
|
||||
explicitly should feed None to the reducer as the left operand.
|
||||
"""
|
||||
|
||||
|
||||
@@ -1,41 +1,35 @@
|
||||
"""Benchmark: DeltaChannel — multi-channel reads, mixed snapshot frequencies.
|
||||
"""Benchmark: DeltaChannel snapshot_frequency — storage vs. read-depth tradeoff.
|
||||
|
||||
Run directly: python tests/test_delta_channel_benchmark.py
|
||||
Run via pytest: pytest tests/test_delta_channel_benchmark.py -s
|
||||
|
||||
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`.
|
||||
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.
|
||||
|
||||
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.
|
||||
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)
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import contextlib
|
||||
import gc
|
||||
import math
|
||||
import os
|
||||
import sys
|
||||
import time
|
||||
import tracemalloc
|
||||
from typing import Annotated, Any
|
||||
|
||||
import pytest
|
||||
from langchain_core.messages import HumanMessage
|
||||
from langchain_core.messages import AIMessage, 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
|
||||
from langgraph.graph.message import _messages_delta_reducer, add_messages
|
||||
|
||||
try:
|
||||
from langgraph.checkpoint.postgres import PostgresSaver
|
||||
@@ -48,16 +42,24 @@ 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."
|
||||
"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."
|
||||
)
|
||||
|
||||
_TOPICS = [
|
||||
@@ -66,9 +68,28 @@ _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:
|
||||
@@ -79,132 +100,136 @@ def _human_content(i: int) -> str:
|
||||
)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# State / graph factory: K DeltaChannel fields with per-channel freqs
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
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]
|
||||
"_BenchState_" + "-".join(str(f) for f in freqs),
|
||||
fields,
|
||||
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)],
|
||||
)
|
||||
|
||||
|
||||
def _make_graph(state_cls: type, K: int, checkpointer: Any = None) -> Any:
|
||||
"""Graph: one node, writes a fresh message into every channel each turn."""
|
||||
# ---------------------------------------------------------------------------
|
||||
# State definitions
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
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)
|
||||
}
|
||||
|
||||
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').
|
||||
return TypedDict( # type: ignore[return-value]
|
||||
f"DeltaState_freq{snapshot_frequency}",
|
||||
{"messages": Annotated[list, channel]},
|
||||
)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Graph factory
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
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}")]}
|
||||
|
||||
g = StateGraph(state_cls)
|
||||
g.add_node("fanout", fanout)
|
||||
g.set_entry_point("fanout")
|
||||
g.add_edge("fanout", END)
|
||||
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")
|
||||
return g.compile(checkpointer=checkpointer or MemorySaver())
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Storage / memory measurement
|
||||
# Measurement helpers
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def _inmemory_blob_bytes(saver: MemorySaver) -> int:
|
||||
return sum(
|
||||
len(blob) for (_, _, _, _), (_, blob) in saver.blobs.items() if blob is not None
|
||||
)
|
||||
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 _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
|
||||
"""
|
||||
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],
|
||||
def _run_turns(
|
||||
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}}
|
||||
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.
|
||||
"""
|
||||
graph = _make_graph(state_cls, checkpointer)
|
||||
config = {"configurable": {"thread_id": "bench"}}
|
||||
|
||||
# Write phase
|
||||
t0 = time.perf_counter()
|
||||
for i in range(n_turns):
|
||||
graph.invoke({}, config)
|
||||
graph.invoke(
|
||||
{"messages": [HumanMessage(content=_human_content(i), id=f"h{i}")]},
|
||||
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()
|
||||
|
||||
# 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
|
||||
blob_bytes = (
|
||||
_total_blob_bytes(graph.checkpointer)
|
||||
if isinstance(graph.checkpointer, MemorySaver)
|
||||
else -1
|
||||
)
|
||||
return write_elapsed, read_elapsed, blob_bytes
|
||||
|
||||
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,
|
||||
}
|
||||
|
||||
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"
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Postgres helpers
|
||||
# Checkpointer factories
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
@contextlib.contextmanager
|
||||
def _pg_saver(thread_id: str):
|
||||
def _pg_saver(thread_id: str = "bench"):
|
||||
"""Context manager that yields a fresh PostgresSaver and cleans up after."""
|
||||
with PostgresSaver.from_conn_string(_POSTGRES_URI) as saver:
|
||||
saver.setup()
|
||||
with saver._cursor() as cur:
|
||||
@@ -217,6 +242,7 @@ def _pg_saver(thread_id: str):
|
||||
|
||||
|
||||
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:
|
||||
@@ -230,92 +256,223 @@ def _checkpointers() -> list[tuple[str, Any]]:
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Scenarios
|
||||
# Part 1: baseline DeltaChannel(inf) vs add_messages
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
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]
|
||||
BASELINE_TURN_COUNTS = [10, 25, 50, 100, 500]
|
||||
DELTA_ONLY_TURN_COUNTS = [1000]
|
||||
|
||||
|
||||
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 _run_baseline_for_checkpointer(cp_label: str, cp_hint: Any) -> None:
|
||||
W = 72
|
||||
|
||||
def _make_saver():
|
||||
if cp_hint is None:
|
||||
return contextlib.nullcontext(None)
|
||||
return _pg_saver()
|
||||
|
||||
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}"
|
||||
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}"
|
||||
)
|
||||
print(header)
|
||||
print(" " + "-" * (len(header) - 2))
|
||||
for row in rows:
|
||||
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(
|
||||
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}"
|
||||
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}"
|
||||
)
|
||||
|
||||
|
||||
def run_benchmark() -> list[dict]:
|
||||
"""Run the full sweep and return all measurement rows."""
|
||||
all_rows: list[dict] = []
|
||||
def run_baseline_benchmark() -> None:
|
||||
print()
|
||||
print("Part 1 — DeltaChannel(inf) vs add_messages: storage & latency")
|
||||
print("=" * 72)
|
||||
for cp_label, cp_hint in _checkpointers():
|
||||
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
|
||||
_run_baseline_for_checkpointer(cp_label, cp_hint)
|
||||
print()
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Pytest entry point
|
||||
# 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.mark.skip(
|
||||
reason="slow benchmark — run manually with: python tests/test_delta_channel_benchmark.py"
|
||||
)
|
||||
def test_delta_channel_benchmark(capsys: Any) -> None:
|
||||
"""Manual benchmark — see module docstring."""
|
||||
def test_delta_channel_baseline_benchmark(capsys: Any) -> None:
|
||||
"""DeltaChannel(inf) uses less storage than add_messages at scale."""
|
||||
with capsys.disabled():
|
||||
run_benchmark()
|
||||
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"
|
||||
)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Script entry point
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
print("DeltaChannel benchmark — multi-channel reads, mixed frequencies")
|
||||
print("=" * 78)
|
||||
run_benchmark()
|
||||
run_baseline_benchmark()
|
||||
run_snapshot_freq_benchmark()
|
||||
sys.exit(0)
|
||||
|
||||
@@ -6,14 +6,11 @@ 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 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.
|
||||
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.
|
||||
|
||||
Scenarios covered:
|
||||
|
||||
@@ -32,8 +29,8 @@ 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_delta_channel_history` must produce the same
|
||||
result as the optimized path.
|
||||
`BaseCheckpointSaver._get_channel_writes_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.
|
||||
@@ -269,8 +266,8 @@ def test_continuing_migrated_thread_folds_deltas_on_seed() -> None:
|
||||
|
||||
class _ThirdPartyStyleSaver(InMemorySaver):
|
||||
"""Simulates a third-party saver that inherits the reference
|
||||
`get_delta_channel_history` implementation from `BaseCheckpointSaver`
|
||||
rather than overriding it.
|
||||
`_get_channel_writes_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
|
||||
@@ -278,11 +275,11 @@ class _ThirdPartyStyleSaver(InMemorySaver):
|
||||
"""
|
||||
|
||||
# MRO: [_ThirdPartyStyleSaver, InMemorySaver, BaseCheckpointSaver, ...]
|
||||
get_delta_channel_history = ( # type: ignore[assignment]
|
||||
InMemorySaver.__mro__[1].get_delta_channel_history # type: ignore[attr-defined]
|
||||
_get_channel_writes_history = ( # type: ignore[assignment]
|
||||
InMemorySaver.__mro__[1]._get_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]
|
||||
_aget_channel_writes_history = ( # type: ignore[assignment]
|
||||
InMemorySaver.__mro__[1]._aget_channel_writes_history # type: ignore[attr-defined]
|
||||
)
|
||||
|
||||
|
||||
@@ -329,7 +326,7 @@ 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_delta_channel_history` must be scoped to the target thread.
|
||||
`_get_channel_writes_history` must be scoped to the target thread.
|
||||
"""
|
||||
|
||||
checkpointer = InMemorySaver()
|
||||
@@ -432,10 +429,9 @@ 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 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."""
|
||||
(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."""
|
||||
|
||||
checkpointer = InMemorySaver()
|
||||
config = {"configurable": {"thread_id": "update-state"}}
|
||||
@@ -445,8 +441,7 @@ 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 where the delta channel is absent from `channel_values`
|
||||
# (no snapshot fired this step).
|
||||
# checkpoint with `DELTA_SENTINEL` in its own `channel_values`.
|
||||
delta = _delta_graph(checkpointer)
|
||||
delta.invoke({"items": ["post"]}, config)
|
||||
|
||||
|
||||
@@ -1,359 +0,0 @@
|
||||
"""Tests for arrival-ordered interleave and push stamps."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import operator
|
||||
from typing import Annotated, Any
|
||||
|
||||
import pytest
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
from langgraph.constants import END, START
|
||||
from langgraph.graph import StateGraph
|
||||
from langgraph.stream import StreamChannel, StreamTransformer
|
||||
from langgraph.stream._mux import StreamMux
|
||||
from langgraph.stream._types import ProtocolEvent
|
||||
from langgraph.stream.run_stream import GraphRunStream
|
||||
from langgraph.stream.transformers import ValuesTransformer
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Helpers
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class _TwoChannelTransformer(StreamTransformer):
|
||||
"""Transformer that exposes two named channels for testing interleave."""
|
||||
|
||||
_native = True
|
||||
|
||||
def __init__(self, scope: tuple[str, ...] = ()) -> None:
|
||||
super().__init__(scope)
|
||||
self._alpha: StreamChannel[str] = StreamChannel("alpha")
|
||||
self._beta: StreamChannel[str] = StreamChannel("beta")
|
||||
|
||||
def init(self) -> dict[str, Any]:
|
||||
return {"alpha": self._alpha, "beta": self._beta}
|
||||
|
||||
def process(self, event: ProtocolEvent) -> bool:
|
||||
return True
|
||||
|
||||
|
||||
class SimpleState(TypedDict):
|
||||
value: str
|
||||
items: Annotated[list[str], operator.add]
|
||||
|
||||
|
||||
def _build_simple_graph():
|
||||
def node_a(state: SimpleState) -> dict:
|
||||
return {"value": state["value"] + "A", "items": ["a"]}
|
||||
|
||||
def node_b(state: SimpleState) -> dict:
|
||||
return {"value": state["value"] + "B", "items": ["b"]}
|
||||
|
||||
builder = StateGraph(SimpleState)
|
||||
builder.add_node("node_a", node_a)
|
||||
builder.add_node("node_b", node_b)
|
||||
builder.add_edge(START, "node_a")
|
||||
builder.add_edge("node_a", "node_b")
|
||||
builder.add_edge("node_b", END)
|
||||
return builder.compile()
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Unit tests: push stamps on StreamChannel
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestPushStamps:
|
||||
def test_stamps_are_monotonic_across_channels(self) -> None:
|
||||
mux = StreamMux(
|
||||
factories=[ValuesTransformer, _TwoChannelTransformer],
|
||||
is_async=False,
|
||||
)
|
||||
alpha = mux.extensions["alpha"]
|
||||
beta = mux.extensions["beta"]
|
||||
|
||||
alpha._subscribed = True
|
||||
beta._subscribed = True
|
||||
|
||||
alpha.push("a1")
|
||||
beta.push("b1")
|
||||
alpha.push("a2")
|
||||
beta.push("b2")
|
||||
|
||||
all_stamped = list(alpha._items) + list(beta._items)
|
||||
stamps = [s for s, _ in all_stamped]
|
||||
assert len(set(stamps)) == 4
|
||||
items_by_arrival = [item for _, item in sorted(all_stamped)]
|
||||
assert items_by_arrival == ["a1", "b1", "a2", "b2"]
|
||||
|
||||
def test_regular_iter_strips_stamps(self) -> None:
|
||||
mux = StreamMux(
|
||||
factories=[ValuesTransformer, _TwoChannelTransformer],
|
||||
is_async=False,
|
||||
)
|
||||
alpha = mux.extensions["alpha"]
|
||||
it = iter(alpha)
|
||||
alpha.push("a1")
|
||||
alpha.push("a2")
|
||||
alpha.close()
|
||||
items = list(it)
|
||||
assert items == ["a1", "a2"]
|
||||
assert all(isinstance(item, str) for item in items)
|
||||
|
||||
def test_events_channel_gets_real_stamps(self) -> None:
|
||||
mux = StreamMux(
|
||||
factories=[ValuesTransformer, _TwoChannelTransformer],
|
||||
is_async=False,
|
||||
)
|
||||
alpha = mux.extensions["alpha"]
|
||||
|
||||
alpha._subscribed = True
|
||||
alpha.push("a1")
|
||||
|
||||
mux._events._subscribed = True
|
||||
mux._events.push({"method": "test", "data": "x"})
|
||||
|
||||
alpha.push("a2")
|
||||
|
||||
all_stamps = [s for s, _ in alpha._items] + [s for s, _ in mux._events._items]
|
||||
assert len(set(all_stamps)) == len(all_stamps), "all stamps should be unique"
|
||||
assert all(s > 0 for s in all_stamps), "no stamp should be zero"
|
||||
|
||||
def test_channel_without_mux_gets_zero_stamp(self) -> None:
|
||||
ch: StreamChannel[str] = StreamChannel()
|
||||
ch._bind(is_async=False)
|
||||
ch._subscribed = True
|
||||
ch.push("x")
|
||||
assert list(ch._items) == [(0, "x")]
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Unit tests: interleave arrival order
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestInterleaveArrivalOrder:
|
||||
def test_arrival_order_not_round_robin(self) -> None:
|
||||
mux = StreamMux(
|
||||
factories=[ValuesTransformer, _TwoChannelTransformer],
|
||||
is_async=False,
|
||||
)
|
||||
alpha = mux.extensions["alpha"]
|
||||
beta = mux.extensions["beta"]
|
||||
run = GraphRunStream(None, mux, wire_pump=False)
|
||||
|
||||
# interleave() subscribes channels directly and reads _items
|
||||
# for stamp-ordered iteration. We simulate the pump by wiring
|
||||
# a custom callback that pushes items in a known order.
|
||||
push_script = [
|
||||
("alpha", "a1"),
|
||||
("alpha", "a2"),
|
||||
("beta", "b1"),
|
||||
("alpha", "a3"),
|
||||
("beta", "b2"),
|
||||
]
|
||||
push_iter = iter(push_script)
|
||||
channels = {"alpha": alpha, "beta": beta}
|
||||
|
||||
def fake_pump() -> bool:
|
||||
try:
|
||||
name, item = next(push_iter)
|
||||
channels[name].push(item)
|
||||
return True
|
||||
except StopIteration:
|
||||
mux.close()
|
||||
return False
|
||||
|
||||
mux.bind_pump(fake_pump)
|
||||
|
||||
result = list(run.interleave("alpha", "beta"))
|
||||
names = [name for name, _ in result]
|
||||
items = [item for _, item in result]
|
||||
|
||||
assert items == ["a1", "a2", "b1", "a3", "b2"]
|
||||
assert names == ["alpha", "alpha", "beta", "alpha", "beta"]
|
||||
|
||||
def test_single_projection(self) -> None:
|
||||
mux = StreamMux(
|
||||
factories=[ValuesTransformer, _TwoChannelTransformer],
|
||||
is_async=False,
|
||||
)
|
||||
alpha = mux.extensions["alpha"]
|
||||
run = GraphRunStream(None, mux, wire_pump=False)
|
||||
|
||||
push_script = [("alpha", "a1"), ("alpha", "a2")]
|
||||
push_iter = iter(push_script)
|
||||
|
||||
def fake_pump() -> bool:
|
||||
try:
|
||||
_, item = next(push_iter)
|
||||
alpha.push(item)
|
||||
return True
|
||||
except StopIteration:
|
||||
mux.close()
|
||||
return False
|
||||
|
||||
mux.bind_pump(fake_pump)
|
||||
|
||||
result = list(run.interleave("alpha"))
|
||||
assert result == [("alpha", "a1"), ("alpha", "a2")]
|
||||
|
||||
def test_empty_projection(self) -> None:
|
||||
mux = StreamMux(
|
||||
factories=[ValuesTransformer, _TwoChannelTransformer],
|
||||
is_async=False,
|
||||
)
|
||||
alpha = mux.extensions["alpha"]
|
||||
run = GraphRunStream(None, mux, wire_pump=False)
|
||||
|
||||
push_script = [("alpha", "a1"), ("alpha", "a2")]
|
||||
push_iter = iter(push_script)
|
||||
channels = {"alpha": alpha}
|
||||
|
||||
def fake_pump() -> bool:
|
||||
try:
|
||||
name, item = next(push_iter)
|
||||
channels[name].push(item)
|
||||
return True
|
||||
except StopIteration:
|
||||
mux.close()
|
||||
return False
|
||||
|
||||
mux.bind_pump(fake_pump)
|
||||
|
||||
result = list(run.interleave("alpha", "beta"))
|
||||
assert result == [("alpha", "a1"), ("alpha", "a2")]
|
||||
|
||||
def test_unknown_projection_raises(self) -> None:
|
||||
mux = StreamMux(
|
||||
factories=[ValuesTransformer, _TwoChannelTransformer],
|
||||
is_async=False,
|
||||
)
|
||||
run = GraphRunStream(None, mux, wire_pump=False)
|
||||
mux.close()
|
||||
with pytest.raises((KeyError, AttributeError)):
|
||||
list(run.interleave("alpha", "does_not_exist"))
|
||||
|
||||
def test_all_empty(self) -> None:
|
||||
mux = StreamMux(
|
||||
factories=[ValuesTransformer, _TwoChannelTransformer],
|
||||
is_async=False,
|
||||
)
|
||||
run = GraphRunStream(None, mux, wire_pump=False)
|
||||
|
||||
def fake_pump() -> bool:
|
||||
mux.close()
|
||||
return False
|
||||
|
||||
mux.bind_pump(fake_pump)
|
||||
|
||||
result = list(run.interleave("alpha", "beta"))
|
||||
assert result == []
|
||||
|
||||
def test_error_propagation(self) -> None:
|
||||
mux = StreamMux(
|
||||
factories=[ValuesTransformer, _TwoChannelTransformer],
|
||||
is_async=False,
|
||||
)
|
||||
alpha = mux.extensions["alpha"]
|
||||
beta = mux.extensions["beta"]
|
||||
run = GraphRunStream(None, mux, wire_pump=False)
|
||||
|
||||
err = RuntimeError("boom")
|
||||
|
||||
push_script = [
|
||||
("alpha", "a1"),
|
||||
("beta", "b1"),
|
||||
]
|
||||
push_iter = iter(push_script)
|
||||
channels = {"alpha": alpha, "beta": beta}
|
||||
|
||||
def fake_pump() -> bool:
|
||||
try:
|
||||
name, item = next(push_iter)
|
||||
channels[name].push(item)
|
||||
return True
|
||||
except StopIteration:
|
||||
alpha.fail(err)
|
||||
beta.close()
|
||||
return False
|
||||
|
||||
mux.bind_pump(fake_pump)
|
||||
|
||||
collected = []
|
||||
with pytest.raises(RuntimeError, match="boom"):
|
||||
for pair in run.interleave("alpha", "beta"):
|
||||
collected.append(pair)
|
||||
|
||||
assert ("alpha", "a1") in collected
|
||||
assert ("beta", "b1") in collected
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Integration test: interleave with stream_events(version="v3")
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestInterleaveIntegration:
|
||||
def test_interleave_values_and_messages(self) -> None:
|
||||
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"})
|
||||
assert names.count("values") >= 1
|
||||
|
||||
def test_interleave_rejects_already_subscribed(self) -> None:
|
||||
mux = StreamMux(
|
||||
factories=[ValuesTransformer, _TwoChannelTransformer],
|
||||
is_async=False,
|
||||
)
|
||||
alpha = mux.extensions["alpha"]
|
||||
run = GraphRunStream(None, mux, wire_pump=False)
|
||||
|
||||
# Subscribe alpha via iter first
|
||||
_ = iter(alpha)
|
||||
mux.close()
|
||||
|
||||
with pytest.raises(RuntimeError, match="already has a subscriber"):
|
||||
list(run.interleave("alpha"))
|
||||
|
||||
def test_interleave_releases_projections_on_completion(self) -> None:
|
||||
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).
|
||||
assert run.extensions["values"]._subscribed is False
|
||||
assert run.extensions["messages"]._subscribed is False
|
||||
|
||||
def test_interleave_releases_projections_on_early_break(self) -> None:
|
||||
run = _build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
gen = run.interleave("values", "messages")
|
||||
next(gen)
|
||||
gen.close()
|
||||
assert run.extensions["values"]._subscribed is False
|
||||
assert run.extensions["messages"]._subscribed is False
|
||||
|
||||
def test_interleave_releases_projections_on_validation_failure(self) -> None:
|
||||
mux = StreamMux(
|
||||
factories=[ValuesTransformer, _TwoChannelTransformer],
|
||||
is_async=False,
|
||||
)
|
||||
alpha = mux.extensions["alpha"]
|
||||
# Pre-subscribe alpha so that interleave will fail validation when
|
||||
# it gets to the second name. The first (already-validated) channel
|
||||
# should still be released.
|
||||
run = GraphRunStream(None, mux, wire_pump=False)
|
||||
mux.close()
|
||||
alpha._subscribed = True
|
||||
|
||||
with pytest.raises(RuntimeError, match="already has a subscriber"):
|
||||
list(run.interleave("values", "alpha"))
|
||||
|
||||
assert mux.extensions["values"]._subscribed is False
|
||||
@@ -25,6 +25,7 @@ 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,
|
||||
@@ -121,29 +122,6 @@ def test_graph_validation() -> None:
|
||||
graph.invoke({"hello": "there"})
|
||||
|
||||
|
||||
def test_request_drain_allows_inflight_call_scheduling(
|
||||
sync_checkpointer: BaseCheckpointSaver,
|
||||
) -> None:
|
||||
from langgraph.runtime import RunControl
|
||||
|
||||
@task
|
||||
def child(x: int) -> int:
|
||||
return x + 1
|
||||
|
||||
control = RunControl()
|
||||
|
||||
@entrypoint(checkpointer=sync_checkpointer)
|
||||
def graph(x: int) -> int:
|
||||
control.request_drain()
|
||||
fut = child(x)
|
||||
return fut.result()
|
||||
|
||||
config = {"configurable": {"thread_id": "drain-call-sync"}}
|
||||
|
||||
assert graph.invoke(1, config=config, control=control) == 2
|
||||
assert control.drain_requested
|
||||
|
||||
|
||||
def test_invalid_checkpointer_type() -> None:
|
||||
class State(TypedDict):
|
||||
foo: str
|
||||
@@ -9617,9 +9595,7 @@ 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 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)."""
|
||||
is committed, so aput_writes always precedes aput for sentinel checkpoints."""
|
||||
|
||||
class State(TypedDict):
|
||||
messages: Annotated[list, DeltaChannel(_messages_delta_reducer)]
|
||||
@@ -9638,17 +9614,10 @@ async def test_delta_channel_async_write_ordering() -> None:
|
||||
return result
|
||||
|
||||
async def tracked_aput(self, config, checkpoint, metadata, new_versions):
|
||||
# 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
|
||||
has_sentinel = any(
|
||||
v is DELTA_SENTINEL for v in checkpoint.get("channel_values", {}).values()
|
||||
)
|
||||
order.append("aput_delta" if is_delta_step else "aput_other")
|
||||
order.append("aput_sentinel" if has_sentinel else "aput_other")
|
||||
return await original_aput(self, config, checkpoint, metadata, new_versions)
|
||||
|
||||
InMemorySaver.aput_writes = tracked_aput_writes
|
||||
@@ -9665,18 +9634,18 @@ async def test_delta_channel_async_write_ordering() -> None:
|
||||
{"messages": [HumanMessage(content=f"h{i}", id=f"h{i}")]}, config
|
||||
)
|
||||
|
||||
# Every aput_delta must be preceded by at least one aput_writes
|
||||
# Every aput_sentinel must be preceded by at least one aput_writes
|
||||
for i, event in enumerate(order):
|
||||
if event == "aput_delta":
|
||||
if event == "aput_sentinel":
|
||||
preceding = order[:i]
|
||||
assert "aput_writes" in preceding, (
|
||||
f"aput_delta at {i} had no preceding aput_writes: {order}"
|
||||
f"aput_sentinel 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_delta at {i}: {order}"
|
||||
f"aput_writes at {last_write_idx} should precede aput_sentinel at {i}: {order}"
|
||||
)
|
||||
finally:
|
||||
InMemorySaver.aput_writes = original_aput_writes
|
||||
|
||||
@@ -16,7 +16,6 @@ from typing import (
|
||||
Literal,
|
||||
Optional,
|
||||
)
|
||||
from unittest.mock import patch
|
||||
from uuid import UUID
|
||||
|
||||
import pytest
|
||||
@@ -49,7 +48,6 @@ from langgraph.channels.topic import Topic
|
||||
from langgraph.errors import (
|
||||
GraphRecursionError,
|
||||
InvalidUpdateError,
|
||||
NodeError,
|
||||
ParentCommand,
|
||||
)
|
||||
from langgraph.func import entrypoint, task
|
||||
@@ -217,30 +215,6 @@ async def test_checkpoint_errors() -> None:
|
||||
pass
|
||||
|
||||
|
||||
@NEEDS_CONTEXTVARS
|
||||
async def test_request_drain_allows_inflight_acall_scheduling(
|
||||
async_checkpointer: BaseCheckpointSaver,
|
||||
) -> None:
|
||||
from langgraph.runtime import RunControl
|
||||
|
||||
@task
|
||||
async def child(x: int) -> int:
|
||||
return x + 1
|
||||
|
||||
control = RunControl()
|
||||
|
||||
@entrypoint(checkpointer=async_checkpointer)
|
||||
async def graph(x: int) -> int:
|
||||
control.request_drain()
|
||||
fut = child(x)
|
||||
return await fut
|
||||
|
||||
config = {"configurable": {"thread_id": "drain-call-async"}}
|
||||
|
||||
assert await graph.ainvoke(1, config=config, control=control) == 2
|
||||
assert control.drain_requested
|
||||
|
||||
|
||||
async def test_py_async_with_cancel_behavior() -> None:
|
||||
"""This test confirms that in all versions of Python we support, __aexit__
|
||||
is not cancelled when the coroutine containing the async with block is cancelled."""
|
||||
@@ -9765,126 +9739,3 @@ async def test_fork_does_not_apply_pending_writes(
|
||||
|
||||
# 1 (input) + 20 (forked node_a) + 100 (node_b) = 121
|
||||
assert result == {"value": 121}
|
||||
|
||||
|
||||
async def test_graph_error_handler_async_runtime_info() -> None:
|
||||
class State(TypedDict):
|
||||
foo: str
|
||||
|
||||
attempts = 0
|
||||
captured: dict[str, object] = {}
|
||||
|
||||
async def always_failing_node(state: State) -> State:
|
||||
nonlocal attempts
|
||||
attempts += 1
|
||||
raise ValueError("Always fails async")
|
||||
|
||||
async def err_handler_node(state: State, error: NodeError) -> State:
|
||||
captured["from_node_name"] = error.node
|
||||
captured["from_node_error"] = error.error
|
||||
return {"foo": "handled_async"}
|
||||
|
||||
graph = (
|
||||
StateGraph(State)
|
||||
.add_node(
|
||||
"always_failing",
|
||||
always_failing_node,
|
||||
retry_policy=RetryPolicy(
|
||||
max_attempts=2,
|
||||
initial_interval=0.01,
|
||||
jitter=False,
|
||||
retry_on=ValueError,
|
||||
),
|
||||
error_handler=err_handler_node,
|
||||
)
|
||||
.add_edge(START, "always_failing")
|
||||
.compile()
|
||||
)
|
||||
|
||||
with patch("asyncio.sleep"):
|
||||
result = await graph.ainvoke({"foo": ""})
|
||||
|
||||
assert attempts == 2
|
||||
assert result["foo"] == "handled_async"
|
||||
assert captured["from_node_name"] == "always_failing"
|
||||
assert isinstance(captured["from_node_error"], BaseException)
|
||||
|
||||
|
||||
@NEEDS_CONTEXTVARS
|
||||
async def test_graph_error_handler_does_not_swallow_interrupt_concurrent() -> None:
|
||||
"""When a graph error handler is configured and a node calls interrupt()
|
||||
concurrently with other nodes, the interrupt must still be raised — not
|
||||
silently swallowed."""
|
||||
|
||||
class State(TypedDict):
|
||||
foo: str
|
||||
|
||||
async def node_a(state: State) -> State:
|
||||
val = interrupt("need human input")
|
||||
return {"foo": f"a_{val}"}
|
||||
|
||||
async def node_b(state: State) -> State:
|
||||
return {}
|
||||
|
||||
async def err_handler(state: State) -> State:
|
||||
return {"foo": "handled"}
|
||||
|
||||
checkpointer = InMemorySaver()
|
||||
graph = (
|
||||
StateGraph(State)
|
||||
.add_node("node_a", node_a, error_handler=err_handler)
|
||||
.add_node("node_b", node_b)
|
||||
.add_edge(START, "node_a")
|
||||
.add_edge(START, "node_b")
|
||||
.compile(checkpointer=checkpointer)
|
||||
)
|
||||
|
||||
config = {"configurable": {"thread_id": "test-interrupt-concurrent-async"}}
|
||||
|
||||
await graph.ainvoke({"foo": ""}, config)
|
||||
|
||||
state = await graph.aget_state(config)
|
||||
assert len(state.tasks) > 0
|
||||
|
||||
interrupts = [t for t in state.tasks if hasattr(t, "interrupts") and t.interrupts]
|
||||
assert len(interrupts) > 0, (
|
||||
"GraphInterrupt was swallowed — interrupt() in node_a "
|
||||
"should have paused execution"
|
||||
)
|
||||
|
||||
|
||||
async def test_node_error_handler_handles_subgraph_internal_failure_async() -> None:
|
||||
class SubState(TypedDict):
|
||||
foo: str
|
||||
|
||||
class ParentState(TypedDict):
|
||||
foo: str
|
||||
|
||||
captured: dict[str, object] = {}
|
||||
|
||||
async def sub_fail_node(state: SubState) -> SubState:
|
||||
raise ValueError("async subgraph boom")
|
||||
|
||||
async def parent_handler(state: ParentState, error: NodeError) -> ParentState:
|
||||
captured["from_node_name"] = error.node
|
||||
captured["from_node_error"] = error.error
|
||||
return {"foo": "handled_async_subgraph"}
|
||||
|
||||
subgraph = (
|
||||
StateGraph(SubState)
|
||||
.add_node("sub_fail_node", sub_fail_node)
|
||||
.add_edge(START, "sub_fail_node")
|
||||
.compile()
|
||||
)
|
||||
|
||||
parent_graph = (
|
||||
StateGraph(ParentState)
|
||||
.add_node("subgraph_node", subgraph, error_handler=parent_handler)
|
||||
.add_edge(START, "subgraph_node")
|
||||
.compile()
|
||||
)
|
||||
|
||||
result = await parent_graph.ainvoke({"foo": ""})
|
||||
assert result["foo"] == "handled_async_subgraph"
|
||||
assert captured["from_node_name"] == "subgraph_node"
|
||||
assert isinstance(captured["from_node_error"], BaseException)
|
||||
|
||||
+58
-131
@@ -1,4 +1,4 @@
|
||||
"""Tests for Pregel.stream_events(version="v3") / astream_events(version="v3") and the transformer pipeline."""
|
||||
"""Tests for Pregel.stream_v2 / astream_v2 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_events(version="v3")` requests only the modes that registered transformers
|
||||
`stream_v2` 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.
|
||||
@@ -390,31 +390,25 @@ class TestStreamChannelNamed:
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# stream_events(version="v3") sync tests
|
||||
# stream_v2 sync tests
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestStreamV2Sync:
|
||||
def test_values_projection(self) -> None:
|
||||
run = _build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
run = _build_simple_graph().stream_v2({"value": "x", "items": []})
|
||||
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_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
run = _build_simple_graph().stream_v2({"value": "x", "items": []})
|
||||
output = run.output
|
||||
assert output == {"value": "xAB", "items": ["a", "b"]}
|
||||
|
||||
def test_raw_event_iteration(self) -> None:
|
||||
run = _build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
run = _build_simple_graph().stream_v2({"value": "x", "items": []})
|
||||
events = list(run)
|
||||
assert len(events) > 0
|
||||
for event in events:
|
||||
@@ -424,27 +418,22 @@ class TestStreamV2Sync:
|
||||
assert isinstance(event["params"]["timestamp"], int)
|
||||
|
||||
def test_extensions_has_native_keys(self) -> None:
|
||||
run = _build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
run = _build_simple_graph().stream_v2({"value": "x", "items": []})
|
||||
_ = 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_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
run = _build_simple_graph().stream_v2({"value": "x", "items": []})
|
||||
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_events(
|
||||
run = _build_custom_stream_graph().stream_v2(
|
||||
{"value": "x", "items": []},
|
||||
version="v3",
|
||||
transformers=[_CustomPassthroughTransformer],
|
||||
)
|
||||
custom_events = [e for e in run if e["method"] == "custom"]
|
||||
@@ -455,34 +444,27 @@ class TestStreamV2Sync:
|
||||
def test_custom_events_suppressed_without_transformer(self) -> None:
|
||||
"""Without a transformer declaring `"custom"`, no custom events flow.
|
||||
|
||||
`stream_events(version="v3")` asks the graph only for the modes that registered
|
||||
`stream_v2` 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_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
run = _build_custom_stream_graph().stream_v2({"value": "x", "items": []})
|
||||
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_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
run = _build_simple_graph().stream_v2({"value": "x", "items": []})
|
||||
tagged = list(run.interleave("values", "messages"))
|
||||
names = [name for name, _ in tagged]
|
||||
assert set(names).issubset({"values", "messages"})
|
||||
assert names.count("values") >= 1
|
||||
# interleave releases its subscription on completion.
|
||||
assert run.extensions["values"]._subscribed is False
|
||||
assert run.extensions["messages"]._subscribed is False
|
||||
with pytest.raises(RuntimeError, match="already has a subscriber"):
|
||||
list(run.values)
|
||||
|
||||
def test_abort_marks_exhausted_and_closes_mux(self) -> None:
|
||||
run = _build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
run = _build_simple_graph().stream_v2({"value": "x", "items": []})
|
||||
values_iter = iter(run.values)
|
||||
_ = next(values_iter)
|
||||
run.abort()
|
||||
@@ -491,63 +473,48 @@ class TestStreamV2Sync:
|
||||
run.abort() # idempotent
|
||||
|
||||
def test_context_manager_calls_abort_on_exit(self) -> None:
|
||||
with _build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
) as run:
|
||||
with _build_simple_graph().stream_v2({"value": "x", "items": []}) as run:
|
||||
_ = next(iter(run.values))
|
||||
assert run._exhausted is True
|
||||
|
||||
def test_interleave_unknown_projection(self) -> None:
|
||||
run = _build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
run = _build_simple_graph().stream_v2({"value": "x", "items": []})
|
||||
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_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
run = _build_error_graph().stream_v2({"value": "x", "items": []})
|
||||
with pytest.raises(ValueError, match="boom"):
|
||||
_ = run.output
|
||||
|
||||
def test_error_propagation_values(self) -> None:
|
||||
run = _build_error_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
run = _build_error_graph().stream_v2({"value": "x", "items": []})
|
||||
with pytest.raises(ValueError, match="boom"):
|
||||
list(run.values)
|
||||
|
||||
def test_error_propagation_raw_events(self) -> None:
|
||||
run = _build_error_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
run = _build_error_graph().stream_v2({"value": "x", "items": []})
|
||||
with pytest.raises(ValueError, match="boom"):
|
||||
list(run)
|
||||
|
||||
def test_error_propagation_interrupted(self) -> None:
|
||||
run = _build_error_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
run = _build_error_graph().stream_v2({"value": "x", "items": []})
|
||||
with pytest.raises(ValueError, match="boom"):
|
||||
_ = run.interrupted
|
||||
|
||||
def test_error_propagation_interrupts(self) -> None:
|
||||
run = _build_error_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
run = _build_error_graph().stream_v2({"value": "x", "items": []})
|
||||
with pytest.raises(ValueError, match="boom"):
|
||||
_ = run.interrupts
|
||||
|
||||
|
||||
class TestStreamV2SyncInterrupt:
|
||||
def test_interrupted(self) -> None:
|
||||
run = _build_interrupt_graph().stream_events(
|
||||
run = _build_interrupt_graph().stream_v2(
|
||||
{"value": "x", "items": []},
|
||||
{"configurable": {"thread_id": "t1"}},
|
||||
version="v3",
|
||||
)
|
||||
_ = run.output
|
||||
assert run.interrupted is True
|
||||
@@ -555,7 +522,7 @@ class TestStreamV2SyncInterrupt:
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# astream_events(version="v3") async tests
|
||||
# astream_v2 async tests
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
@@ -563,34 +530,26 @@ class TestStreamV2SyncInterrupt:
|
||||
@NEEDS_CONTEXTVARS
|
||||
class TestStreamV2Async:
|
||||
async def test_values_projection(self) -> None:
|
||||
run = await _build_simple_graph().astream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
run = await _build_simple_graph().astream_v2({"value": "x", "items": []})
|
||||
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_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
run = await _build_simple_graph().astream_v2({"value": "x", "items": []})
|
||||
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_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
run = await _build_simple_graph().astream_v2({"value": "x", "items": []})
|
||||
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_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
run = await _build_simple_graph().astream_v2({"value": "x", "items": []})
|
||||
values_iter = aiter(run.values)
|
||||
_ = await anext(values_iter)
|
||||
await run.abort()
|
||||
@@ -600,26 +559,21 @@ class TestStreamV2Async:
|
||||
await run.abort() # idempotent
|
||||
|
||||
async def test_context_manager_calls_abort_on_exit(self) -> None:
|
||||
run = await _build_simple_graph().astream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
run = await _build_simple_graph().astream_v2({"value": "x", "items": []})
|
||||
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_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
run = await _build_simple_graph().astream_v2({"value": "x", "items": []})
|
||||
_ = 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_events(
|
||||
run = await _build_custom_stream_graph().astream_v2(
|
||||
{"value": "x", "items": []},
|
||||
version="v3",
|
||||
transformers=[_CustomPassthroughTransformer],
|
||||
)
|
||||
events = [e async for e in run]
|
||||
@@ -633,39 +587,29 @@ class TestStreamV2Async:
|
||||
@NEEDS_CONTEXTVARS
|
||||
class TestStreamV2AsyncErrors:
|
||||
async def test_error_propagation_output(self) -> None:
|
||||
run = await _build_error_graph().astream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
run = await _build_error_graph().astream_v2({"value": "x", "items": []})
|
||||
with pytest.raises(ValueError, match="boom"):
|
||||
await run.output()
|
||||
|
||||
async def test_error_propagation_values(self) -> None:
|
||||
run = await _build_error_graph().astream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
run = await _build_error_graph().astream_v2({"value": "x", "items": []})
|
||||
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_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
run = await _build_error_graph().astream_v2({"value": "x", "items": []})
|
||||
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_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
run = await _build_error_graph().astream_v2({"value": "x", "items": []})
|
||||
with pytest.raises(ValueError, match="boom"):
|
||||
await run.interrupted()
|
||||
|
||||
async def test_error_propagation_interrupts(self) -> None:
|
||||
run = await _build_error_graph().astream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
run = await _build_error_graph().astream_v2({"value": "x", "items": []})
|
||||
with pytest.raises(ValueError, match="boom"):
|
||||
await run.interrupts()
|
||||
|
||||
@@ -674,10 +618,9 @@ class TestStreamV2AsyncErrors:
|
||||
@NEEDS_CONTEXTVARS
|
||||
class TestStreamV2AsyncInterrupt:
|
||||
async def test_interrupted(self) -> None:
|
||||
run = await _build_interrupt_graph().astream_events(
|
||||
run = await _build_interrupt_graph().astream_v2(
|
||||
{"value": "x", "items": []},
|
||||
{"configurable": {"thread_id": "t2"}},
|
||||
version="v3",
|
||||
)
|
||||
_ = await run.output()
|
||||
assert await run.interrupted() is True
|
||||
@@ -1041,8 +984,8 @@ class TestCustomTransformer:
|
||||
self._channel.push(self._count)
|
||||
return True
|
||||
|
||||
run = _build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3", transformers=[CounterTransformer]
|
||||
run = _build_simple_graph().stream_v2(
|
||||
{"value": "x", "items": []}, transformers=[CounterTransformer]
|
||||
)
|
||||
assert "counter" in run.extensions
|
||||
counter_iter = iter(run.extensions["counter"])
|
||||
@@ -1067,15 +1010,15 @@ class TestCustomTransformer:
|
||||
self._log.push("saw_values")
|
||||
return True
|
||||
|
||||
run = _build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3", transformers=[FooTransformer]
|
||||
run = _build_simple_graph().stream_v2(
|
||||
{"value": "x", "items": []}, 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_events_v3_rejects_transformer_instances(self) -> None:
|
||||
def test_stream_v2_rejects_transformer_instances(self) -> None:
|
||||
class InstanceTransformer(StreamTransformer):
|
||||
def init(self) -> dict[str, Any]:
|
||||
return {}
|
||||
@@ -1084,10 +1027,8 @@ class TestCustomTransformer:
|
||||
return True
|
||||
|
||||
with pytest.raises(TypeError, match="pre-built instance"):
|
||||
_build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []},
|
||||
version="v3",
|
||||
transformers=[InstanceTransformer()],
|
||||
_build_simple_graph().stream_v2(
|
||||
{"value": "x", "items": []}, transformers=[InstanceTransformer()]
|
||||
)
|
||||
|
||||
def test_stream_channel_auto_forward(self) -> None:
|
||||
@@ -1106,8 +1047,8 @@ class TestCustomTransformer:
|
||||
self._channel.push("emitted")
|
||||
return True
|
||||
|
||||
run = _build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3", transformers=[EmitterTransformer]
|
||||
run = _build_simple_graph().stream_v2(
|
||||
{"value": "x", "items": []}, transformers=[EmitterTransformer]
|
||||
)
|
||||
custom_events = [e for e in run if e["method"] == "custom:emitter"]
|
||||
assert len(custom_events) > 0
|
||||
@@ -1151,10 +1092,8 @@ class TestCustomTransformer:
|
||||
return True
|
||||
|
||||
with pytest.raises(ValueError, match=r"conflict.*'values'.*ValuesTransformer"):
|
||||
_build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []},
|
||||
version="v3",
|
||||
transformers=[ConflictTransformer],
|
||||
_build_simple_graph().stream_v2(
|
||||
{"value": "x", "items": []}, transformers=[ConflictTransformer]
|
||||
)
|
||||
|
||||
|
||||
@@ -1236,8 +1175,8 @@ class TestStreamChannelAutoLifecycle:
|
||||
self._log.push("got_it")
|
||||
return True
|
||||
|
||||
run = _build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3", transformers=[MinimalTransformer]
|
||||
run = _build_simple_graph().stream_v2(
|
||||
{"value": "x", "items": []}, transformers=[MinimalTransformer]
|
||||
)
|
||||
minimal_iter = iter(run.extensions["minimal"])
|
||||
_ = run.output
|
||||
@@ -1497,8 +1436,8 @@ class TestAsyncTransformerLane:
|
||||
async def afinalize(self) -> None:
|
||||
self._log.close()
|
||||
|
||||
run = await _build_simple_graph().astream_events(
|
||||
{"value": "x", "items": []}, version="v3", transformers=[Scorer]
|
||||
run = await _build_simple_graph().astream_v2(
|
||||
{"value": "x", "items": []}, transformers=[Scorer]
|
||||
)
|
||||
scores_cursor = aiter(run.extensions["scores"])
|
||||
_ = await run.output()
|
||||
@@ -1514,9 +1453,7 @@ class TestAsyncTransformerLane:
|
||||
@NEEDS_CONTEXTVARS
|
||||
class TestMemoryBounds:
|
||||
def test_sync_subscribed_buffer_stays_at_most_one_between_yields(self) -> None:
|
||||
run = _build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
run = _build_simple_graph().stream_v2({"value": "x", "items": []})
|
||||
events_iter = iter(run)
|
||||
max_buffered = 0
|
||||
count = 0
|
||||
@@ -1529,9 +1466,7 @@ class TestMemoryBounds:
|
||||
)
|
||||
|
||||
def test_unsubscribed_projections_never_accumulate(self) -> None:
|
||||
run = _build_simple_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
run = _build_simple_graph().stream_v2({"value": "x", "items": []})
|
||||
list(run)
|
||||
values_log = run.extensions["values"]
|
||||
messages_log = run.extensions["messages"]
|
||||
@@ -1539,25 +1474,19 @@ 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_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
run = _build_simple_graph().stream_v2({"value": "x", "items": []})
|
||||
_ = 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_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
run = _build_simple_graph().stream_v2({"value": "x", "items": []})
|
||||
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_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
run = await _build_simple_graph().astream_v2({"value": "x", "items": []})
|
||||
max_buffered = 0
|
||||
count = 0
|
||||
async for _ in run:
|
||||
@@ -1568,9 +1497,7 @@ class TestMemoryBounds:
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_async_unsubscribed_projections_never_accumulate(self) -> None:
|
||||
run = await _build_simple_graph().astream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
run = await _build_simple_graph().astream_v2({"value": "x", "items": []})
|
||||
_ = await run.output()
|
||||
values_log = run.extensions["values"]
|
||||
messages_log = run.extensions["messages"]
|
||||
@@ -1,5 +1,4 @@
|
||||
import asyncio
|
||||
import operator
|
||||
import sys
|
||||
import threading
|
||||
import time
|
||||
@@ -16,7 +15,7 @@ from langchain_core.language_models.fake_chat_models import GenericFakeChatModel
|
||||
from langchain_core.messages import AIMessage, AIMessageChunk, BaseMessage, HumanMessage
|
||||
from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, ChatResult
|
||||
from langchain_core.runnables import RunnableLambda, RunnableParallel
|
||||
from langgraph.checkpoint.memory import InMemorySaver, MemorySaver
|
||||
from langgraph.checkpoint.memory import MemorySaver
|
||||
from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
@@ -35,7 +34,7 @@ from langgraph._internal._runnable import RunnableCallable
|
||||
from langgraph._internal._timeout import coerce_timeout_policy
|
||||
from langgraph.channels.ephemeral_value import EphemeralValue
|
||||
from langgraph.channels.last_value import LastValue
|
||||
from langgraph.errors import GraphInterrupt, NodeError, NodeTimeoutError, ParentCommand
|
||||
from langgraph.errors import GraphInterrupt, NodeTimeoutError, ParentCommand
|
||||
from langgraph.func import entrypoint, task
|
||||
from langgraph.graph import END, START, StateGraph, add_messages
|
||||
from langgraph.pregel import NodeBuilder, Pregel
|
||||
@@ -210,15 +209,6 @@ def test_should_retry_default_retry_on():
|
||||
req_error_no_resp.response = None
|
||||
assert _should_retry_on(policy, req_error_no_resp) is True
|
||||
|
||||
# NodeTimeoutError should be retryable by default
|
||||
assert (
|
||||
_should_retry_on(
|
||||
policy,
|
||||
NodeTimeoutError("node", 1.0, kind="run", run_timeout=0.5),
|
||||
)
|
||||
is True
|
||||
)
|
||||
|
||||
# Should retry on other exceptions by default
|
||||
class CustomException(Exception):
|
||||
pass
|
||||
@@ -1465,14 +1455,14 @@ async def test_state_graph_add_node_timeout_composes_with_retry():
|
||||
async def flaky(state: _TimeoutState) -> _TimeoutState:
|
||||
attempts.append(len(attempts))
|
||||
if len(attempts) < 2:
|
||||
await asyncio.sleep(1.0)
|
||||
await asyncio.sleep(0.5)
|
||||
return {"x": state["x"] + 1}
|
||||
|
||||
builder = StateGraph(_TimeoutState)
|
||||
builder.add_node(
|
||||
"flaky",
|
||||
flaky,
|
||||
timeout=TimeoutPolicy(idle_timeout=0.3),
|
||||
timeout=TimeoutPolicy(idle_timeout=0.1),
|
||||
retry_policy=RetryPolicy(
|
||||
max_attempts=3,
|
||||
initial_interval=0.0,
|
||||
@@ -1765,505 +1755,3 @@ async def test_arun_with_retry_timeout_observer_treats_bubble_up_as_non_error():
|
||||
assert finish.status == "success"
|
||||
assert finish.error_type is None
|
||||
assert finish.error_message is None
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Watcher invariant: any timeout that retry/error_handler can recover from
|
||||
# MUST emit `finish=error` BEFORE the in-process recovery work happens. The
|
||||
# external watchdog (langgraph-api) relies on this so it only kills a worker
|
||||
# when no `finish` arrives within the deadline. The tests below pin down the
|
||||
# three recovery paths so a refactor that moves `_finish_timed_attempt` past
|
||||
# an `await` (or past the final `raise`) trips CI.
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_arun_with_retry_observer_emits_finish_before_retry_backoff():
|
||||
"""`finish=error` of attempt N must arrive before the retry backoff sleep."""
|
||||
timeline: list[tuple[float, Any]] = []
|
||||
|
||||
class TimingOutOnceProc:
|
||||
def __init__(self) -> None:
|
||||
self.calls = 0
|
||||
|
||||
async def ainvoke(self, input, config):
|
||||
self.calls += 1
|
||||
if self.calls == 1:
|
||||
await asyncio.sleep(1.0)
|
||||
return "ok"
|
||||
|
||||
backoff = 0.25
|
||||
policy = RetryPolicy(
|
||||
max_attempts=2,
|
||||
initial_interval=backoff,
|
||||
backoff_factor=1.0,
|
||||
max_interval=backoff,
|
||||
jitter=False,
|
||||
retry_on=NodeTimeoutError,
|
||||
)
|
||||
task = _make_task(
|
||||
TimingOutOnceProc(),
|
||||
timeout=_idle_timeout(0.05),
|
||||
retry_policy=(policy,),
|
||||
name="backoff_watcher",
|
||||
)
|
||||
task.config[CONF][CONFIG_KEY_TIMED_ATTEMPT_OBSERVER] = lambda ev: timeline.append(
|
||||
(time.monotonic(), ev)
|
||||
)
|
||||
|
||||
assert await arun_with_retry(task, retry_policy=None) == "ok"
|
||||
|
||||
starts = [(t, ev) for t, ev in timeline if ev.event == "start"]
|
||||
finishes = [(t, ev) for t, ev in timeline if ev.event == "finish"]
|
||||
assert [ev.context.attempt for _, ev in starts] == [1, 2]
|
||||
assert [ev.status for _, ev in finishes] == ["error", "success"]
|
||||
|
||||
first_finish_t = finishes[0][0]
|
||||
second_start_t = starts[1][0]
|
||||
|
||||
# The watcher relies on this gap: `finish=error` for attempt 1 must arrive
|
||||
# before `arun_with_retry` enters `await asyncio.sleep(backoff)`. We give a
|
||||
# generous slack to keep this stable on slow CI; the structural invariant
|
||||
# is "finish lands first", not "the gap equals exactly backoff".
|
||||
assert second_start_t - first_finish_t >= backoff * 0.5, (
|
||||
f"finish=error appears to be emitted after retry backoff sleep; "
|
||||
f"gap was {second_start_t - first_finish_t:.3f}s, expected >= {backoff * 0.5:.3f}s"
|
||||
)
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_state_graph_observer_emits_finish_before_error_handler_start():
|
||||
"""Original task's `finish=error` must arrive before the error_handler task's `start`."""
|
||||
|
||||
class State(TypedDict):
|
||||
foo: str
|
||||
|
||||
async def slow_node(state: State) -> State:
|
||||
await asyncio.sleep(1.0)
|
||||
return {"foo": "should-not-happen"}
|
||||
|
||||
async def handler_node(state: State, error: NodeError) -> State:
|
||||
return {"foo": "handled"}
|
||||
|
||||
events: list = []
|
||||
graph = (
|
||||
StateGraph(State)
|
||||
.add_node(
|
||||
"slow",
|
||||
slow_node,
|
||||
timeout=TimeoutPolicy(idle_timeout=0.05),
|
||||
error_handler=handler_node,
|
||||
)
|
||||
.add_edge(START, "slow")
|
||||
.compile()
|
||||
)
|
||||
|
||||
result = await graph.ainvoke(
|
||||
{"foo": ""},
|
||||
config={
|
||||
"configurable": {CONFIG_KEY_TIMED_ATTEMPT_OBSERVER: events.append},
|
||||
},
|
||||
)
|
||||
assert result["foo"] == "handled"
|
||||
|
||||
# Filter to events from the failing node only — the handler node has no
|
||||
# timeout configured here, so it doesn't appear in the observer stream.
|
||||
slow_events = [ev for ev in events if ev.context.task_name == "slow"]
|
||||
starts = [ev for ev in slow_events if ev.event == "start"]
|
||||
finishes = [ev for ev in slow_events if ev.event == "finish"]
|
||||
assert len(starts) == 1
|
||||
assert len(finishes) == 1
|
||||
assert finishes[0].status == "error"
|
||||
assert finishes[0].error_type == "NodeTimeoutError"
|
||||
# The slow task's finish-error event must precede every event for any
|
||||
# follow-up task in the same observer stream.
|
||||
slow_finish_index = events.index(finishes[0])
|
||||
for ev in events[slow_finish_index + 1 :]:
|
||||
assert ev.context.task_name == "slow" or ev.event == "start", (
|
||||
f"unexpected event {ev.event} for {ev.context.task_name} "
|
||||
f"after slow's finish=error"
|
||||
)
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_arun_with_retry_observer_emits_finish_before_final_raise_on_exhaustion():
|
||||
"""When retry exhausts and the timeout propagates, the final `finish=error` must
|
||||
be emitted before `arun_with_retry` re-raises."""
|
||||
events: list = []
|
||||
|
||||
class AlwaysTimingOutProc:
|
||||
async def ainvoke(self, input, config):
|
||||
await asyncio.sleep(1.0)
|
||||
return "never"
|
||||
|
||||
policy = RetryPolicy(
|
||||
max_attempts=2,
|
||||
initial_interval=0.0,
|
||||
jitter=False,
|
||||
retry_on=NodeTimeoutError,
|
||||
)
|
||||
task = _make_task(
|
||||
AlwaysTimingOutProc(),
|
||||
timeout=_idle_timeout(0.05),
|
||||
retry_policy=(policy,),
|
||||
name="never_succeeds",
|
||||
)
|
||||
task.config[CONF][CONFIG_KEY_TIMED_ATTEMPT_OBSERVER] = events.append
|
||||
|
||||
with pytest.raises(NodeTimeoutError):
|
||||
await arun_with_retry(task, retry_policy=None)
|
||||
|
||||
starts = [ev for ev in events if ev.event == "start"]
|
||||
finishes = [ev for ev in events if ev.event == "finish"]
|
||||
assert [ev.context.attempt for ev in starts] == [1, 2]
|
||||
assert [ev.context.attempt for ev in finishes] == [1, 2]
|
||||
assert [ev.status for ev in finishes] == ["error", "error"]
|
||||
assert all(ev.error_type == "NodeTimeoutError" for ev in finishes)
|
||||
# Both finish events were observed BEFORE arun_with_retry raised, otherwise
|
||||
# the `with pytest.raises` block would have exited before `events` got
|
||||
# populated with the second finish.
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_sync_sleep_in_async_node_bypasses_timeout_and_emits_finish_success():
|
||||
"""Sync `time.sleep` inside an async node blocks the event loop so the
|
||||
in-process watchdog cannot fire. We document the resulting behavior here:
|
||||
|
||||
1. `NodeTimeoutError` is NOT raised, even though the sync sleep exceeds
|
||||
`idle_timeout`.
|
||||
2. The node's normal return value flows through.
|
||||
3. `finish=success` is emitted to the observer.
|
||||
|
||||
This is the canonical case where the in-process timeout is defeated and
|
||||
the only safety net is the external watcher (langgraph-api), which
|
||||
SIGKILLs the worker when no `finish` arrives within its deadline. The
|
||||
catch is that with a *short* sync sleep the event loop unblocks before
|
||||
the watcher's deadline expires, so the watcher legitimately does not
|
||||
kill — meaning the configured `idle_timeout` is silently honored at the
|
||||
process level only when the block is long enough to outlast the
|
||||
watcher's grace.
|
||||
|
||||
This is the documented "Cooperative cancellation" caveat on
|
||||
`TimeoutPolicy`. The test pins the behavior so any future change that
|
||||
starts raising `NodeTimeoutError` for sync-blocked async nodes (or stops
|
||||
emitting `finish=success`) is caught.
|
||||
"""
|
||||
events: list = []
|
||||
|
||||
class SyncSleepingProc:
|
||||
async def ainvoke(self, input, config):
|
||||
time.sleep(0.1)
|
||||
return "completed_despite_timeout"
|
||||
|
||||
task = _make_task(
|
||||
SyncSleepingProc(),
|
||||
timeout=_idle_timeout(0.05),
|
||||
name="sync_sleeper",
|
||||
)
|
||||
task.config[CONF][CONFIG_KEY_TIMED_ATTEMPT_OBSERVER] = events.append
|
||||
|
||||
result = await arun_with_retry(task, retry_policy=None)
|
||||
|
||||
assert result == "completed_despite_timeout"
|
||||
starts = [ev for ev in events if ev.event == "start"]
|
||||
finishes = [ev for ev in events if ev.event == "finish"]
|
||||
assert len(starts) == 1
|
||||
assert len(finishes) == 1
|
||||
assert finishes[0].status == "success"
|
||||
assert finishes[0].error_type is None
|
||||
|
||||
|
||||
def test_graph_error_handler_runs_after_retry_exhaustion():
|
||||
class State(TypedDict):
|
||||
foo: str
|
||||
|
||||
attempts = 0
|
||||
captured: dict[str, object] = {}
|
||||
|
||||
def always_failing_node(state: State) -> State:
|
||||
nonlocal attempts
|
||||
attempts += 1
|
||||
raise ValueError("Always fails")
|
||||
|
||||
def err_handler_node(state: State, error: NodeError) -> Command:
|
||||
captured["from_node_name"] = error.node
|
||||
captured["from_node_error"] = error.error
|
||||
return Command(update={"foo": "handled"}, goto="after_handler")
|
||||
|
||||
def after_handler(state: State) -> State:
|
||||
return {"foo": f"{state['foo']}_after"}
|
||||
|
||||
retry_policy = RetryPolicy(
|
||||
max_attempts=2,
|
||||
initial_interval=0.01,
|
||||
jitter=False,
|
||||
retry_on=ValueError,
|
||||
)
|
||||
|
||||
graph = (
|
||||
StateGraph(State)
|
||||
.add_node(
|
||||
"always_failing",
|
||||
always_failing_node,
|
||||
retry_policy=retry_policy,
|
||||
error_handler=err_handler_node,
|
||||
)
|
||||
.add_node("after_handler", after_handler)
|
||||
.add_edge(START, "always_failing")
|
||||
.compile()
|
||||
)
|
||||
|
||||
with patch("time.sleep"):
|
||||
result = graph.invoke({"foo": ""})
|
||||
|
||||
assert attempts == 2
|
||||
assert result["foo"] == "handled_after"
|
||||
assert captured["from_node_name"] == "always_failing"
|
||||
assert isinstance(captured["from_node_error"], BaseException)
|
||||
|
||||
|
||||
def test_graph_error_handler_can_route_with_command():
|
||||
class State(TypedDict):
|
||||
foo: str
|
||||
|
||||
attempts = 0
|
||||
|
||||
def always_failing_node(state: State) -> State:
|
||||
nonlocal attempts
|
||||
attempts += 1
|
||||
raise ValueError("Always fails")
|
||||
|
||||
def err_handler_node(state: State) -> Command:
|
||||
return Command(update={"foo": "handled"}, goto="next_node")
|
||||
|
||||
def next_node(state: State) -> State:
|
||||
return {"foo": f"{state['foo']}_next"}
|
||||
|
||||
retry_policy = RetryPolicy(
|
||||
max_attempts=1,
|
||||
initial_interval=0.01,
|
||||
jitter=False,
|
||||
retry_on=ValueError,
|
||||
)
|
||||
|
||||
graph = (
|
||||
StateGraph(State)
|
||||
.add_node(
|
||||
"always_failing",
|
||||
always_failing_node,
|
||||
retry_policy=retry_policy,
|
||||
error_handler=err_handler_node,
|
||||
)
|
||||
.add_node("next_node", next_node)
|
||||
.add_edge(START, "always_failing")
|
||||
.compile()
|
||||
)
|
||||
|
||||
result = graph.invoke({"foo": ""})
|
||||
assert attempts == 1
|
||||
assert result["foo"] == "handled_next"
|
||||
|
||||
|
||||
def test_graph_error_handler_failure_fails_run():
|
||||
class State(TypedDict):
|
||||
foo: str
|
||||
|
||||
def always_failing_node(state: State) -> State:
|
||||
raise ValueError("Always fails")
|
||||
|
||||
def err_handler_node(state: State) -> State:
|
||||
raise RuntimeError("handler failed")
|
||||
|
||||
graph = (
|
||||
StateGraph(State)
|
||||
.add_node("always_failing", always_failing_node, error_handler=err_handler_node)
|
||||
.add_edge(START, "always_failing")
|
||||
.compile()
|
||||
)
|
||||
|
||||
with pytest.raises(RuntimeError, match="handler failed"):
|
||||
graph.invoke({"foo": ""})
|
||||
|
||||
|
||||
def test_graph_error_handler_handles_subgraph_internal_failure():
|
||||
class SubState(TypedDict):
|
||||
foo: str
|
||||
|
||||
class ParentState(TypedDict):
|
||||
foo: str
|
||||
|
||||
parent_handler_called = False
|
||||
captured: dict[str, object] = {}
|
||||
|
||||
def sub_fail_node(state: SubState) -> SubState:
|
||||
raise ValueError("subgraph boom")
|
||||
|
||||
def parent_handler(state: ParentState, error: NodeError) -> ParentState:
|
||||
nonlocal parent_handler_called
|
||||
parent_handler_called = True
|
||||
captured["from_node_name"] = error.node
|
||||
captured["from_node_error"] = error.error
|
||||
return {"foo": "handled_by_parent"}
|
||||
|
||||
subgraph = (
|
||||
StateGraph(SubState)
|
||||
.add_node("sub_fail_node", sub_fail_node)
|
||||
.add_edge(START, "sub_fail_node")
|
||||
.compile()
|
||||
)
|
||||
|
||||
parent_graph = (
|
||||
StateGraph(ParentState)
|
||||
.add_node("subgraph_node", subgraph, error_handler=parent_handler)
|
||||
.add_edge(START, "subgraph_node")
|
||||
.compile()
|
||||
)
|
||||
|
||||
result = parent_graph.invoke({"foo": ""})
|
||||
assert result["foo"] == "handled_by_parent"
|
||||
assert parent_handler_called is True
|
||||
assert captured["from_node_name"] == "subgraph_node"
|
||||
assert isinstance(captured["from_node_error"], BaseException)
|
||||
|
||||
|
||||
def test_graph_error_handler_error_context_survives_checkpoint_resume():
|
||||
class State(TypedDict):
|
||||
foo: str
|
||||
|
||||
captured: dict[str, object] = {}
|
||||
|
||||
def always_failing_node(state: State) -> State:
|
||||
raise RuntimeError("failed before handler")
|
||||
|
||||
def err_handler_node(state: State, error: NodeError) -> State:
|
||||
captured["from_node_name"] = error.node
|
||||
captured["from_node_error"] = error.error
|
||||
return {"foo": "handled_after_resume"}
|
||||
|
||||
checkpointer = InMemorySaver()
|
||||
config = {"configurable": {"thread_id": "graph-error-resume"}}
|
||||
graph = (
|
||||
StateGraph(State)
|
||||
.add_node("always_failing", always_failing_node, error_handler=err_handler_node)
|
||||
.add_edge(START, "always_failing")
|
||||
.compile(
|
||||
checkpointer=checkpointer,
|
||||
interrupt_before=["__error_handler__always_failing"],
|
||||
)
|
||||
)
|
||||
|
||||
# First run pauses before handler, after failure context is checkpointed.
|
||||
graph.invoke({"foo": ""}, config)
|
||||
# Resume should execute handler and recover serialized error context.
|
||||
result = graph.invoke(None, config)
|
||||
|
||||
assert result["foo"] == "handled_after_resume"
|
||||
assert captured["from_node_name"] == "always_failing"
|
||||
assert isinstance(captured["from_node_error"], BaseException)
|
||||
|
||||
|
||||
def test_graph_error_handler_does_not_swallow_interrupt_concurrent():
|
||||
"""When a graph error handler is configured and a node calls interrupt()
|
||||
concurrently with other nodes, the interrupt must still be raised — not
|
||||
silently swallowed."""
|
||||
from langgraph.types import interrupt
|
||||
|
||||
class State(TypedDict):
|
||||
foo: str
|
||||
|
||||
def node_a(state: State) -> State:
|
||||
# This node uses interrupt() which raises GraphInterrupt
|
||||
val = interrupt("need human input")
|
||||
return {"foo": f"a_{val}"}
|
||||
|
||||
def node_b(state: State) -> State:
|
||||
return {}
|
||||
|
||||
def err_handler(state: State) -> State:
|
||||
return {"foo": "handled"}
|
||||
|
||||
checkpointer = InMemorySaver()
|
||||
graph = (
|
||||
StateGraph(State)
|
||||
.add_node("node_a", node_a, error_handler=err_handler)
|
||||
.add_node("node_b", node_b)
|
||||
# Fan-out: both node_a and node_b run concurrently
|
||||
.add_edge(START, "node_a")
|
||||
.add_edge(START, "node_b")
|
||||
.compile(checkpointer=checkpointer)
|
||||
)
|
||||
|
||||
config = {"configurable": {"thread_id": "test-interrupt-concurrent"}}
|
||||
|
||||
# First invoke should pause at the interrupt, not silently complete
|
||||
graph.invoke({"foo": ""}, config)
|
||||
|
||||
# The graph should have an interrupt pending
|
||||
state = graph.get_state(config)
|
||||
assert len(state.tasks) > 0
|
||||
|
||||
# There should be a pending interrupt from node_a
|
||||
interrupts = [t for t in state.tasks if hasattr(t, "interrupts") and t.interrupts]
|
||||
assert len(interrupts) > 0, (
|
||||
"GraphInterrupt was swallowed — interrupt() in node_a "
|
||||
"should have paused execution"
|
||||
)
|
||||
|
||||
|
||||
def test_node_error_handlers_route_to_matching_handler():
|
||||
class State(TypedDict):
|
||||
route: str
|
||||
foo: Annotated[list[str], operator.add]
|
||||
|
||||
def route_node(state: State) -> State:
|
||||
return {"foo": []}
|
||||
|
||||
def choose_node(state: State) -> str:
|
||||
return state["route"]
|
||||
|
||||
def fail_a(state: State) -> State:
|
||||
raise ValueError("a failed")
|
||||
|
||||
def fail_b(state: State) -> State:
|
||||
raise RuntimeError("b failed")
|
||||
|
||||
def handler_a(state: State, error: NodeError) -> State:
|
||||
assert error.node == "fail_a"
|
||||
return {"foo": ["handled_a"]}
|
||||
|
||||
def handler_b(state: State, error: NodeError) -> State:
|
||||
assert error.node == "fail_b"
|
||||
return {"foo": ["handled_b"]}
|
||||
|
||||
graph = (
|
||||
StateGraph(State)
|
||||
.add_node("route_node", route_node)
|
||||
.add_node("fail_a", fail_a, error_handler=handler_a)
|
||||
.add_node("fail_b", fail_b, error_handler=handler_b)
|
||||
.add_edge(START, "route_node")
|
||||
.add_conditional_edges("route_node", choose_node, path_map=["fail_a", "fail_b"])
|
||||
.compile()
|
||||
)
|
||||
|
||||
result_a = graph.invoke({"route": "fail_a", "foo": []})
|
||||
result_b = graph.invoke({"route": "fail_b", "foo": []})
|
||||
assert result_a["foo"] == ["handled_a"]
|
||||
assert result_b["foo"] == ["handled_b"]
|
||||
|
||||
|
||||
def test_node_without_error_handler_still_fails_run():
|
||||
class State(TypedDict):
|
||||
foo: str
|
||||
|
||||
def fail_without_handler(state: State) -> State:
|
||||
raise ValueError("no handler")
|
||||
|
||||
graph = (
|
||||
StateGraph(State)
|
||||
.add_node("fail_without_handler", fail_without_handler)
|
||||
.add_edge(START, "fail_without_handler")
|
||||
.compile()
|
||||
)
|
||||
|
||||
with pytest.raises(ValueError, match="no handler"):
|
||||
graph.invoke({"foo": ""})
|
||||
|
||||
@@ -1,6 +1,3 @@
|
||||
import asyncio
|
||||
import threading
|
||||
import time
|
||||
from dataclasses import dataclass
|
||||
from typing import Any
|
||||
|
||||
@@ -9,15 +6,8 @@ from langgraph.checkpoint.memory import MemorySaver
|
||||
from pydantic import BaseModel, ValidationError
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
from langgraph.errors import GraphDrained
|
||||
from langgraph.graph import END, START, StateGraph
|
||||
from langgraph.runtime import (
|
||||
ExecutionInfo,
|
||||
RunControl,
|
||||
Runtime,
|
||||
ServerInfo,
|
||||
get_runtime,
|
||||
)
|
||||
from langgraph.runtime import ExecutionInfo, Runtime, ServerInfo, get_runtime
|
||||
|
||||
|
||||
def test_injected_runtime() -> None:
|
||||
@@ -89,183 +79,6 @@ def test_merge_runtime() -> None:
|
||||
assert runtime1.merge(runtime3).context.api_key == "abc" # type: ignore
|
||||
|
||||
|
||||
def test_merge_runtime_preserves_run_control() -> None:
|
||||
control = RunControl()
|
||||
runtime1 = Runtime(control=control)
|
||||
runtime2 = Runtime(context=None)
|
||||
|
||||
assert runtime1.merge(runtime2).control is control
|
||||
|
||||
|
||||
def test_run_control_request_drain_stops_future_steps() -> None:
|
||||
class State(TypedDict, total=False):
|
||||
first: str
|
||||
second: str
|
||||
|
||||
control = RunControl()
|
||||
|
||||
def first_node(state: State) -> dict[str, str]:
|
||||
control.request_drain()
|
||||
return {"first": "done"}
|
||||
|
||||
def second_node(state: State) -> dict[str, str]:
|
||||
return {"second": "should-not-run"}
|
||||
|
||||
graph = StateGraph(State)
|
||||
graph.add_node("first", first_node)
|
||||
graph.add_node("second", second_node)
|
||||
graph.add_edge(START, "first")
|
||||
graph.add_edge("first", "second")
|
||||
graph.add_edge("second", END)
|
||||
|
||||
with pytest.raises(GraphDrained, match="shutdown"):
|
||||
graph.compile().invoke({}, control=control)
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_run_control_request_drain_stops_future_steps_async() -> None:
|
||||
class State(TypedDict, total=False):
|
||||
first: str
|
||||
second: str
|
||||
|
||||
control = RunControl()
|
||||
|
||||
async def first_node(state: State) -> dict[str, str]:
|
||||
control.request_drain()
|
||||
return {"first": "done"}
|
||||
|
||||
async def second_node(state: State) -> dict[str, str]:
|
||||
return {"second": "should-not-run"}
|
||||
|
||||
graph = StateGraph(State)
|
||||
graph.add_node("first", first_node)
|
||||
graph.add_node("second", second_node)
|
||||
graph.add_edge(START, "first")
|
||||
graph.add_edge("first", "second")
|
||||
graph.add_edge("second", END)
|
||||
|
||||
with pytest.raises(GraphDrained, match="shutdown"):
|
||||
await graph.compile().ainvoke({}, control=control)
|
||||
|
||||
|
||||
def test_drain_requested_in_terminal_step_finishes_normally() -> None:
|
||||
class State(TypedDict, total=False):
|
||||
value: str
|
||||
|
||||
control = RunControl()
|
||||
|
||||
def node(state: State) -> dict[str, str]:
|
||||
control.request_drain()
|
||||
return {"value": "done"}
|
||||
|
||||
graph = StateGraph(State)
|
||||
graph.add_node("node", node)
|
||||
graph.add_edge(START, "node")
|
||||
graph.add_edge("node", END)
|
||||
|
||||
assert graph.compile().invoke({}, control=control) == {"value": "done"}
|
||||
assert control.drain_requested
|
||||
|
||||
|
||||
def test_drain_with_exit_durability_persists_resume_checkpoint() -> None:
|
||||
class State(TypedDict, total=False):
|
||||
first: str
|
||||
second: str
|
||||
|
||||
control = RunControl()
|
||||
|
||||
def first_node(state: State) -> dict[str, str]:
|
||||
control.request_drain("sigterm")
|
||||
return {"first": "done"}
|
||||
|
||||
def second_node(state: State) -> dict[str, str]:
|
||||
return {"second": "done"}
|
||||
|
||||
graph = StateGraph(State)
|
||||
graph.add_node("first", first_node)
|
||||
graph.add_node("second", second_node)
|
||||
graph.add_edge(START, "first")
|
||||
graph.add_edge("first", "second")
|
||||
graph.add_edge("second", END)
|
||||
|
||||
compiled = graph.compile(checkpointer=MemorySaver())
|
||||
config = {"configurable": {"thread_id": "drain-exit"}}
|
||||
|
||||
with pytest.raises(GraphDrained, match="sigterm"):
|
||||
compiled.invoke({}, config, durability="exit", control=control)
|
||||
|
||||
assert compiled.invoke(None, config, durability="exit") == {
|
||||
"first": "done",
|
||||
"second": "done",
|
||||
}
|
||||
|
||||
|
||||
def test_drain_from_subgraph_can_resume_parent() -> None:
|
||||
class State(TypedDict, total=False):
|
||||
child_first: str
|
||||
child_second: str
|
||||
parent_second: str
|
||||
|
||||
control = RunControl()
|
||||
|
||||
def child_first(state: State) -> dict[str, str]:
|
||||
control.request_drain("sigterm")
|
||||
return {"child_first": "done"}
|
||||
|
||||
def child_second(state: State) -> dict[str, str]:
|
||||
return {"child_second": "done"}
|
||||
|
||||
child_builder = StateGraph(State)
|
||||
child_builder.add_node("child_first", child_first)
|
||||
child_builder.add_node("child_second", child_second)
|
||||
child_builder.add_edge(START, "child_first")
|
||||
child_builder.add_edge("child_first", "child_second")
|
||||
child_builder.add_edge("child_second", END)
|
||||
child_graph = child_builder.compile(checkpointer=True)
|
||||
|
||||
def parent_second(state: State) -> dict[str, str]:
|
||||
return {"parent_second": "done"}
|
||||
|
||||
parent_builder = StateGraph(State)
|
||||
parent_builder.add_node("child", child_graph)
|
||||
parent_builder.add_node("parent_second", parent_second)
|
||||
parent_builder.add_edge(START, "child")
|
||||
parent_builder.add_edge("child", "parent_second")
|
||||
parent_builder.add_edge("parent_second", END)
|
||||
|
||||
compiled = parent_builder.compile(checkpointer=MemorySaver())
|
||||
config = {"configurable": {"thread_id": "drain-subgraph"}}
|
||||
|
||||
with pytest.raises(GraphDrained, match="sigterm"):
|
||||
compiled.invoke({}, config, control=control)
|
||||
|
||||
assert compiled.invoke(None, config) == {
|
||||
"child_first": "done",
|
||||
"child_second": "done",
|
||||
"parent_second": "done",
|
||||
}
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_drain_requested_in_terminal_step_finishes_normally_async() -> None:
|
||||
class State(TypedDict, total=False):
|
||||
value: str
|
||||
|
||||
control = RunControl()
|
||||
|
||||
async def node(state: State) -> dict[str, str]:
|
||||
control.request_drain()
|
||||
return {"value": "done"}
|
||||
|
||||
graph = StateGraph(State)
|
||||
graph.add_node("node", node)
|
||||
graph.add_edge(START, "node")
|
||||
graph.add_edge("node", END)
|
||||
|
||||
assert await graph.compile().ainvoke({}, control=control) == {"value": "done"}
|
||||
assert control.drain_requested
|
||||
|
||||
|
||||
def test_runtime_propogated_to_subgraph() -> None:
|
||||
@dataclass
|
||||
class Context:
|
||||
@@ -579,334 +392,6 @@ def test_context_coercion_pydantic_validation_errors() -> None:
|
||||
)
|
||||
|
||||
|
||||
def test_external_drain_concurrent_sync() -> None:
|
||||
"""External thread calls request_drain() while graph is mid-execution."""
|
||||
|
||||
class State(TypedDict, total=False):
|
||||
first: str
|
||||
second: str
|
||||
|
||||
started = threading.Event()
|
||||
|
||||
def first_node(state: State) -> dict[str, str]:
|
||||
started.set()
|
||||
time.sleep(0.05)
|
||||
return {"first": "done"}
|
||||
|
||||
def second_node(state: State) -> dict[str, str]:
|
||||
return {"second": "should-not-run"}
|
||||
|
||||
graph = StateGraph(State)
|
||||
graph.add_node("first", first_node)
|
||||
graph.add_node("second", second_node)
|
||||
graph.add_edge(START, "first")
|
||||
graph.add_edge("first", "second")
|
||||
graph.add_edge("second", END)
|
||||
|
||||
control = RunControl()
|
||||
compiled = graph.compile()
|
||||
|
||||
exc_holder: list[BaseException | None] = [None]
|
||||
|
||||
def run_graph() -> None:
|
||||
try:
|
||||
compiled.invoke({}, control=control)
|
||||
except GraphDrained as e:
|
||||
exc_holder[0] = e
|
||||
|
||||
t = threading.Thread(target=run_graph)
|
||||
t.start()
|
||||
|
||||
started.wait(timeout=5)
|
||||
control.request_drain("sigterm")
|
||||
|
||||
t.join(timeout=10)
|
||||
|
||||
exc = exc_holder[0]
|
||||
assert isinstance(exc, GraphDrained)
|
||||
assert exc.reason == "sigterm"
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_external_drain_concurrent_async() -> None:
|
||||
"""External task calls request_drain() while graph is mid-execution."""
|
||||
|
||||
class State(TypedDict, total=False):
|
||||
first: str
|
||||
second: str
|
||||
|
||||
started = asyncio.Event()
|
||||
|
||||
async def first_node(state: State) -> dict[str, str]:
|
||||
started.set()
|
||||
await asyncio.sleep(0.05)
|
||||
return {"first": "done"}
|
||||
|
||||
async def second_node(state: State) -> dict[str, str]:
|
||||
return {"second": "should-not-run"}
|
||||
|
||||
graph = StateGraph(State)
|
||||
graph.add_node("first", first_node)
|
||||
graph.add_node("second", second_node)
|
||||
graph.add_edge(START, "first")
|
||||
graph.add_edge("first", "second")
|
||||
graph.add_edge("second", END)
|
||||
|
||||
control = RunControl()
|
||||
compiled = graph.compile()
|
||||
|
||||
async def drain_after_start() -> None:
|
||||
await started.wait()
|
||||
control.request_drain("sigterm")
|
||||
|
||||
drain_task = asyncio.create_task(drain_after_start())
|
||||
|
||||
with pytest.raises(GraphDrained, match="sigterm"):
|
||||
await compiled.ainvoke({}, control=control)
|
||||
|
||||
await drain_task
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_drain_then_cancel_after_graceful_timeout() -> None:
|
||||
"""Simulate: drain requested -> node still running -> graceful timeout -> cancel.
|
||||
|
||||
This shows what happens when a long-running node doesn't finish within
|
||||
the graceful period after drain is requested.
|
||||
"""
|
||||
|
||||
class State(TypedDict, total=False):
|
||||
first: str
|
||||
second: str
|
||||
|
||||
node_started = asyncio.Event()
|
||||
node_cancelled = asyncio.Event()
|
||||
node_finished = asyncio.Event()
|
||||
|
||||
async def slow_node(state: State) -> dict[str, str]:
|
||||
node_started.set()
|
||||
try:
|
||||
await asyncio.sleep(30) # very long operation
|
||||
except asyncio.CancelledError:
|
||||
node_cancelled.set()
|
||||
raise
|
||||
node_finished.set()
|
||||
return {"first": "done"}
|
||||
|
||||
async def second_node(state: State) -> dict[str, str]:
|
||||
return {"second": "should-not-run"}
|
||||
|
||||
graph = StateGraph(State)
|
||||
graph.add_node("first", slow_node)
|
||||
graph.add_node("second", second_node)
|
||||
graph.add_edge(START, "first")
|
||||
graph.add_edge("first", "second")
|
||||
graph.add_edge("second", END)
|
||||
|
||||
control = RunControl()
|
||||
compiled = graph.compile()
|
||||
|
||||
# Phase 1: start graph
|
||||
graph_task = asyncio.create_task(compiled.ainvoke({}, control=control))
|
||||
|
||||
# Phase 2: wait for node to start, then request drain
|
||||
await node_started.wait()
|
||||
control.request_drain("sigterm")
|
||||
|
||||
# Phase 3: graceful timeout — node is still running, cancel after 1s
|
||||
graceful_timeout = 1.0
|
||||
await asyncio.sleep(graceful_timeout)
|
||||
|
||||
assert not node_finished.is_set(), "node should still be running"
|
||||
assert not node_cancelled.is_set(), "node should not be cancelled yet"
|
||||
|
||||
# Phase 4: force cancel
|
||||
graph_task.cancel()
|
||||
|
||||
with pytest.raises(asyncio.CancelledError):
|
||||
await graph_task
|
||||
|
||||
# The node received CancelledError at the await point
|
||||
assert node_cancelled.is_set(), "node should have received CancelledError"
|
||||
assert not node_finished.is_set(), "node should NOT have finished normally"
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_cancel_ainvoke_with_async_node() -> None:
|
||||
"""Cancel ainvoke running an async node: CancelledError is delivered
|
||||
at the await point and the node stops immediately."""
|
||||
|
||||
class State(TypedDict, total=False):
|
||||
first: str
|
||||
second: str
|
||||
|
||||
timeline: list[str] = []
|
||||
node_started = asyncio.Event()
|
||||
|
||||
async def slow_async_node(state: State) -> dict[str, str]:
|
||||
timeline.append(f"async_node:start thread={threading.current_thread().name}")
|
||||
node_started.set()
|
||||
try:
|
||||
await asyncio.sleep(30)
|
||||
except asyncio.CancelledError:
|
||||
timeline.append("async_node:cancelled")
|
||||
raise
|
||||
timeline.append("async_node:finished")
|
||||
return {"first": "done"}
|
||||
|
||||
async def second_node(state: State) -> dict[str, str]:
|
||||
timeline.append("second_node:run")
|
||||
return {"second": "should-not-run"}
|
||||
|
||||
graph = StateGraph(State)
|
||||
graph.add_node("first", slow_async_node)
|
||||
graph.add_node("second", second_node)
|
||||
graph.add_edge(START, "first")
|
||||
graph.add_edge("first", "second")
|
||||
graph.add_edge("second", END)
|
||||
|
||||
compiled = graph.compile()
|
||||
graph_task = asyncio.create_task(compiled.ainvoke({}))
|
||||
|
||||
await node_started.wait()
|
||||
timeline.append("test:cancel")
|
||||
graph_task.cancel()
|
||||
|
||||
with pytest.raises(asyncio.CancelledError):
|
||||
await graph_task
|
||||
timeline.append("test:done")
|
||||
|
||||
# async node runs on the event loop thread (MainThread)
|
||||
assert any("MainThread" in e for e in timeline if "async_node:start" in e)
|
||||
# CancelledError was delivered at the await point — node stopped
|
||||
assert "async_node:cancelled" in timeline
|
||||
# Node did NOT run to completion
|
||||
assert "async_node:finished" not in timeline
|
||||
# Second node never ran
|
||||
assert "second_node:run" not in timeline
|
||||
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_cancel_ainvoke_with_sync_node() -> None:
|
||||
"""Cancel ainvoke running a sync node.
|
||||
|
||||
Sync nodes in ainvoke run on a separate thread (via run_in_executor),
|
||||
NOT on the event loop thread. Cancelling the asyncio task disconnects
|
||||
from the thread future, but the thread keeps running as an orphan and
|
||||
completes on its own.
|
||||
|
||||
Key difference from async nodes:
|
||||
- async node: CancelledError stops the coroutine at an await point
|
||||
- sync node: cancel only disconnects asyncio; the thread runs to completion
|
||||
|
||||
In shutdown case, we will ignore this because the instance will be destroyed soon.
|
||||
"""
|
||||
|
||||
class State(TypedDict, total=False):
|
||||
first: str
|
||||
second: str
|
||||
|
||||
timeline: list[str] = []
|
||||
node_started = threading.Event()
|
||||
node_finished = threading.Event()
|
||||
|
||||
def slow_sync_node(state: State) -> dict[str, str]:
|
||||
timeline.append(f"sync_node:start thread={threading.current_thread().name}")
|
||||
node_started.set()
|
||||
time.sleep(1)
|
||||
timeline.append("sync_node:after_sleep")
|
||||
node_finished.set()
|
||||
return {"first": "done"}
|
||||
|
||||
def second_node(state: State) -> dict[str, str]:
|
||||
timeline.append("second_node:run")
|
||||
return {"second": "should-not-run"}
|
||||
|
||||
graph = StateGraph(State)
|
||||
graph.add_node("first", slow_sync_node)
|
||||
graph.add_node("second", second_node)
|
||||
graph.add_edge(START, "first")
|
||||
graph.add_edge("first", "second")
|
||||
graph.add_edge("second", END)
|
||||
|
||||
control = RunControl()
|
||||
compiled = graph.compile()
|
||||
|
||||
timeline.append(f"test:main thread={threading.current_thread().name}")
|
||||
graph_task = asyncio.create_task(compiled.ainvoke({}, control=control))
|
||||
|
||||
loop = asyncio.get_event_loop()
|
||||
await loop.run_in_executor(None, node_started.wait, 5)
|
||||
|
||||
timeline.append("test:cancel+drain")
|
||||
graph_task.cancel()
|
||||
control.request_drain("sigterm")
|
||||
|
||||
with pytest.raises(asyncio.CancelledError):
|
||||
await graph_task
|
||||
timeline.append("test:exc=CancelledError")
|
||||
|
||||
# Sync node runs on a background thread (asyncio_*), NOT MainThread
|
||||
sync_start = next(e for e in timeline if "sync_node:start" in e)
|
||||
assert "MainThread" not in sync_start, (
|
||||
"sync node should run on a background thread, not the event loop thread"
|
||||
)
|
||||
|
||||
# At this point, the asyncio task is done but the thread is orphaned.
|
||||
# The sync node has NOT finished yet — cancel only disconnected asyncio.
|
||||
assert not node_finished.is_set(), (
|
||||
"sync node should still be running in its background thread"
|
||||
)
|
||||
|
||||
# Wait for the orphaned thread to complete on its own.
|
||||
await loop.run_in_executor(None, node_finished.wait, 5)
|
||||
assert node_finished.is_set()
|
||||
|
||||
# After the orphaned thread finishes, the full timeline looks like:
|
||||
# test:main thread=MainThread
|
||||
# sync_node:start thread=asyncio_N <- background thread
|
||||
# test:cancel+drain <- cancel + drain fired
|
||||
# test:exc=CancelledError <- asyncio disconnected
|
||||
# sync_node:after_sleep <- thread ran to completion anyway
|
||||
assert "sync_node:after_sleep" in timeline
|
||||
# Second node never ran
|
||||
assert "second_node:run" not in timeline
|
||||
|
||||
# Verify timeline ordering: cancel happened before node finished
|
||||
cancel_idx = timeline.index("test:cancel+drain")
|
||||
sleep_idx = timeline.index("sync_node:after_sleep")
|
||||
assert cancel_idx < sleep_idx, (
|
||||
"cancel was issued while the sync node was still sleeping"
|
||||
)
|
||||
|
||||
|
||||
def test_drain_with_control_parameter_sync() -> None:
|
||||
"""Control parameter is wired through invoke -> stream."""
|
||||
|
||||
class State(TypedDict, total=False):
|
||||
value: str
|
||||
|
||||
ran = False
|
||||
|
||||
def node(state: State) -> dict[str, str]:
|
||||
nonlocal ran
|
||||
ran = True
|
||||
return {"value": "done"}
|
||||
|
||||
graph = StateGraph(State)
|
||||
graph.add_node("node", node)
|
||||
graph.add_edge(START, "node")
|
||||
graph.add_edge("node", END)
|
||||
|
||||
# Pre-drained control stops before executing the first pending task.
|
||||
control = RunControl()
|
||||
control.request_drain("pre-drained")
|
||||
|
||||
with pytest.raises(GraphDrained, match="pre-drained"):
|
||||
graph.compile().invoke({}, control=control)
|
||||
assert not ran
|
||||
|
||||
|
||||
# --- ExecutionInfo unit tests ---
|
||||
|
||||
|
||||
|
||||
@@ -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_events(version="v3").
|
||||
group exercises real graphs through stream_v2.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
@@ -77,13 +77,8 @@ def _arm(mux: StreamMux, transformer: Any) -> None:
|
||||
transformer._log._subscribed = True
|
||||
|
||||
|
||||
def _unstamped(items):
|
||||
"""Strip push stamps from a StreamChannel's internal buffer."""
|
||||
return [item for _stamp, item in items]
|
||||
|
||||
|
||||
def _drain(transformer: Any) -> list[Any]:
|
||||
return _unstamped(transformer._log._items)
|
||||
return list(transformer._log._items)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
@@ -145,7 +140,7 @@ def test_custom_does_not_suppress_from_main_log() -> None:
|
||||
|
||||
mux.push(_custom_event([], "data"))
|
||||
|
||||
methods = [evt["method"] for evt in _unstamped(mux._events._items)]
|
||||
methods = [evt["method"] for evt in mux._events._items]
|
||||
assert "custom" in methods
|
||||
|
||||
|
||||
@@ -224,7 +219,7 @@ def test_checkpoints_does_not_suppress_from_main_log() -> None:
|
||||
|
||||
mux.push(_checkpoints_event([], {"values": {}}))
|
||||
|
||||
methods = [evt["method"] for evt in _unstamped(mux._events._items)]
|
||||
methods = [evt["method"] for evt in mux._events._items]
|
||||
assert "checkpoints" in methods
|
||||
|
||||
|
||||
@@ -289,7 +284,7 @@ def test_debug_does_not_suppress_from_main_log() -> None:
|
||||
|
||||
mux.push(_debug_event([], {"step": 0}))
|
||||
|
||||
methods = [evt["method"] for evt in _unstamped(mux._events._items)]
|
||||
methods = [evt["method"] for evt in mux._events._items]
|
||||
assert "debug" in methods
|
||||
|
||||
|
||||
@@ -365,7 +360,7 @@ def test_tasks_does_not_suppress_from_main_log() -> None:
|
||||
|
||||
mux.push(_tasks_event([], {"id": "t1"}))
|
||||
|
||||
methods = [evt["method"] for evt in _unstamped(mux._events._items)]
|
||||
methods = [evt["method"] for evt in mux._events._items]
|
||||
assert "tasks" in methods
|
||||
|
||||
|
||||
@@ -434,7 +429,7 @@ def test_updates_does_not_suppress_from_main_log() -> None:
|
||||
|
||||
mux.push(_updates_event([], {"n": {}}))
|
||||
|
||||
methods = [evt["method"] for evt in _unstamped(mux._events._items)]
|
||||
methods = [evt["method"] for evt in mux._events._items]
|
||||
assert "updates" in methods
|
||||
|
||||
|
||||
@@ -474,11 +469,11 @@ def test_unrelated_events_ignored_by_all() -> None:
|
||||
)
|
||||
|
||||
for t in transformers:
|
||||
assert _unstamped(t._log._items) == []
|
||||
assert list(t._log._items) == []
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# End-to-end: real graphs through stream_events(version="v3")
|
||||
# End-to-end: real graphs through stream_v2
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
@@ -503,11 +498,11 @@ def _make_simple_graph() -> Any:
|
||||
return builder.compile()
|
||||
|
||||
|
||||
def test_stream_events_v3_custom_projection_opt_in() -> None:
|
||||
def test_stream_v2_custom_projection_opt_in() -> None:
|
||||
"""run.custom surfaces get_stream_writer() payloads when opted in."""
|
||||
graph = _make_simple_graph()
|
||||
run = graph.stream_events(
|
||||
{"value": "hello", "items": []}, version="v3", transformers=[CustomTransformer]
|
||||
run = graph.stream_v2(
|
||||
{"value": "hello", "items": []}, transformers=[CustomTransformer]
|
||||
)
|
||||
|
||||
custom_events = list(run.custom)
|
||||
@@ -515,11 +510,11 @@ def test_stream_events_v3_custom_projection_opt_in() -> None:
|
||||
assert any(e.get("status") == "working" for e in custom_events)
|
||||
|
||||
|
||||
def test_stream_events_v3_custom_and_values_coexist() -> None:
|
||||
def test_stream_v2_custom_and_values_coexist() -> None:
|
||||
"""Both run.custom and run.values work in the same run."""
|
||||
graph = _make_simple_graph()
|
||||
run = graph.stream_events(
|
||||
{"value": "hello", "items": []}, version="v3", transformers=[CustomTransformer]
|
||||
run = graph.stream_v2(
|
||||
{"value": "hello", "items": []}, transformers=[CustomTransformer]
|
||||
)
|
||||
|
||||
custom_events = list(run.custom)
|
||||
@@ -528,12 +523,10 @@ def test_stream_events_v3_custom_and_values_coexist() -> None:
|
||||
assert len(custom_events) >= 1
|
||||
|
||||
|
||||
def test_stream_events_v3_tasks_projection_opt_in() -> None:
|
||||
def test_stream_v2_tasks_projection_opt_in() -> None:
|
||||
"""run.tasks surfaces raw task events when opted in via transformers=."""
|
||||
graph = _make_simple_graph()
|
||||
run = graph.stream_events(
|
||||
{"value": "x", "items": []}, transformers=[TasksTransformer], version="v3"
|
||||
)
|
||||
run = graph.stream_v2({"value": "x", "items": []}, transformers=[TasksTransformer])
|
||||
|
||||
tasks_events = list(run.tasks)
|
||||
assert len(tasks_events) >= 1
|
||||
@@ -541,12 +534,10 @@ def test_stream_events_v3_tasks_projection_opt_in() -> None:
|
||||
assert "my_node" in names
|
||||
|
||||
|
||||
def test_stream_events_v3_debug_projection_opt_in() -> None:
|
||||
def test_stream_v2_debug_projection_opt_in() -> None:
|
||||
"""run.debug surfaces debug events when opted in via transformers=."""
|
||||
graph = _make_simple_graph()
|
||||
run = graph.stream_events(
|
||||
{"value": "x", "items": []}, transformers=[DebugTransformer], version="v3"
|
||||
)
|
||||
run = graph.stream_v2({"value": "x", "items": []}, transformers=[DebugTransformer])
|
||||
|
||||
debug_events = list(run.debug)
|
||||
assert len(debug_events) >= 1
|
||||
@@ -554,11 +545,11 @@ def test_stream_events_v3_debug_projection_opt_in() -> None:
|
||||
assert types & {"checkpoint", "task", "task_result"}
|
||||
|
||||
|
||||
def test_stream_events_v3_updates_projection_opt_in() -> None:
|
||||
def test_stream_v2_updates_projection_opt_in() -> None:
|
||||
"""run.updates surfaces node output dicts when opted in via transformers=."""
|
||||
graph = _make_simple_graph()
|
||||
run = graph.stream_events(
|
||||
{"value": "x", "items": []}, version="v3", transformers=[UpdatesTransformer]
|
||||
run = graph.stream_v2(
|
||||
{"value": "x", "items": []}, transformers=[UpdatesTransformer]
|
||||
)
|
||||
|
||||
updates = list(run.updates)
|
||||
@@ -567,12 +558,11 @@ def test_stream_events_v3_updates_projection_opt_in() -> None:
|
||||
assert "my_node" in node_names
|
||||
|
||||
|
||||
def test_stream_events_v3_all_transformers_interleaved() -> None:
|
||||
def test_stream_v2_all_transformers_interleaved() -> None:
|
||||
"""All five transformers registered together, consumed via interleave."""
|
||||
graph = _make_simple_graph()
|
||||
run = graph.stream_events(
|
||||
run = graph.stream_v2(
|
||||
{"value": "x", "items": []},
|
||||
version="v3",
|
||||
transformers=[
|
||||
CustomTransformer,
|
||||
UpdatesTransformer,
|
||||
@@ -604,7 +594,7 @@ def test_stream_events_v3_all_transformers_interleaved() -> None:
|
||||
assert run.output["value"] == "x!"
|
||||
|
||||
|
||||
def test_stream_events_v3_all_transformers_with_checkpointer() -> None:
|
||||
def test_stream_v2_all_transformers_with_checkpointer() -> None:
|
||||
"""All transformers with a checkpointer — run.checkpoints populated."""
|
||||
from langgraph.checkpoint.memory import InMemorySaver
|
||||
|
||||
@@ -614,9 +604,8 @@ def test_stream_events_v3_all_transformers_with_checkpointer() -> None:
|
||||
builder.add_edge("my_node", END)
|
||||
graph = builder.compile(checkpointer=InMemorySaver())
|
||||
|
||||
run = graph.stream_events(
|
||||
run = graph.stream_v2(
|
||||
{"value": "x", "items": []},
|
||||
version="v3",
|
||||
config={"configurable": {"thread_id": "test-all"}},
|
||||
transformers=[
|
||||
CustomTransformer,
|
||||
@@ -643,7 +632,7 @@ def test_stream_events_v3_all_transformers_with_checkpointer() -> None:
|
||||
assert len(collected["custom"]) >= 1
|
||||
|
||||
|
||||
def test_stream_events_v3_checkpoints_projection_opt_in() -> None:
|
||||
def test_stream_v2_checkpoints_projection_opt_in() -> None:
|
||||
"""run.checkpoints surfaces checkpoint data when opted in with a checkpointer."""
|
||||
from langgraph.checkpoint.memory import InMemorySaver
|
||||
|
||||
@@ -653,9 +642,8 @@ def test_stream_events_v3_checkpoints_projection_opt_in() -> None:
|
||||
builder.add_edge("my_node", END)
|
||||
graph = builder.compile(checkpointer=InMemorySaver())
|
||||
|
||||
run = graph.stream_events(
|
||||
run = graph.stream_v2(
|
||||
{"value": "x", "items": []},
|
||||
version="v3",
|
||||
config={"configurable": {"thread_id": "test-ckpt-standalone"}},
|
||||
transformers=[CheckpointsTransformer],
|
||||
)
|
||||
@@ -686,7 +674,7 @@ def test_tasks_and_lifecycle_coregistration() -> None:
|
||||
|
||||
assert _drain(tasks) == [task_data]
|
||||
|
||||
methods = [evt["method"] for evt in _unstamped(mux._events._items)]
|
||||
methods = [evt["method"] for evt in mux._events._items]
|
||||
assert "tasks" not in methods
|
||||
|
||||
|
||||
@@ -695,9 +683,8 @@ def test_tasks_and_lifecycle_coregistration_e2e() -> None:
|
||||
is present and suppressing them from the main log.
|
||||
"""
|
||||
graph = _make_simple_graph()
|
||||
run = graph.stream_events(
|
||||
run = graph.stream_v2(
|
||||
{"value": "x", "items": []},
|
||||
version="v3",
|
||||
transformers=[TasksTransformer],
|
||||
)
|
||||
|
||||
|
||||
@@ -1,108 +0,0 @@
|
||||
"""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_events(version="v3")` calls with non-empty `parent_ns`).
|
||||
discovery, nested `stream_v2` calls with non-empty `parent_ns`).
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
@@ -92,16 +92,11 @@ def _arm(mux: StreamMux) -> None:
|
||||
transformer._channel._subscribed = True
|
||||
|
||||
|
||||
def _unstamped(items):
|
||||
"""Strip push stamps from a StreamChannel's internal buffer."""
|
||||
return [item for _stamp, item in items]
|
||||
|
||||
|
||||
def _drain_lifecycle(mux: StreamMux) -> list[LifecyclePayload]:
|
||||
"""Snapshot the lifecycle channel's buffer."""
|
||||
transformer = mux.transformer_by_key("lifecycle")
|
||||
assert isinstance(transformer, LifecycleTransformer)
|
||||
return _unstamped(transformer._channel._items)
|
||||
return list(transformer._channel._items)
|
||||
|
||||
|
||||
def _build_lifecycle_mux(*, scope: tuple[str, ...] = ()) -> StreamMux:
|
||||
@@ -306,7 +301,7 @@ def test_protocol_event_method_is_native() -> None:
|
||||
mux = _build_lifecycle_mux()
|
||||
mux.push(_tasks_start(["agent:abc"], task_id="t1", name="tool"))
|
||||
|
||||
methods = {evt["method"] for evt in _unstamped(mux._events._items)}
|
||||
methods = {evt["method"] for evt in mux._events._items}
|
||||
assert "lifecycle" in methods
|
||||
assert "custom:lifecycle" not in methods
|
||||
|
||||
@@ -317,14 +312,14 @@ def test_tasks_events_suppressed_from_main_log() -> None:
|
||||
mux.push(_tasks_start(["agent:abc"], task_id="t1", name="tool"))
|
||||
mux.push(_tasks_result([], task_id="abc", name="agent"))
|
||||
|
||||
methods = [evt["method"] for evt in _unstamped(mux._events._items)]
|
||||
methods = [evt["method"] for evt in mux._events._items]
|
||||
assert "tasks" not in methods
|
||||
# Lifecycle events did make it through, though.
|
||||
assert "lifecycle" in methods
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# End-to-end: real graphs through stream_events(version="v3")
|
||||
# End-to-end: real graphs through stream_v2
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
@@ -358,10 +353,10 @@ def _make_two_level_nested() -> Any:
|
||||
return outer_b.compile()
|
||||
|
||||
|
||||
def test_stream_events_v3_real_graph_emits_lifecycle_at_each_depth() -> None:
|
||||
def test_stream_v2_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_events({"value": "x", "items": []}, version="v3")
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
|
||||
# Iterating the projection drives the pump and drains synthesized
|
||||
# lifecycle events at the same time.
|
||||
@@ -384,17 +379,17 @@ def test_stream_events_v3_real_graph_emits_lifecycle_at_each_depth() -> None:
|
||||
)
|
||||
|
||||
|
||||
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,
|
||||
def test_stream_v2_with_nested_parent_ns_scopes_lifecycle() -> None:
|
||||
"""When `stream_v2` 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_events(version="v3")
|
||||
exercises the path that exists today purely for nested-stream_v2
|
||||
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_events({"value": "x", "items": []}, config=config, version="v3")
|
||||
run = graph.stream_v2({"value": "x", "items": []}, config=config)
|
||||
|
||||
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_events(version="v3") / astream_events(version="v3")."""
|
||||
legacy v1 chunk filtering, and end-to-end via stream_v2 / astream_v2."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
@@ -26,11 +26,6 @@ from langgraph.stream.transformers import MessagesTransformer, ValuesTransformer
|
||||
TS = int(time.time() * 1000)
|
||||
|
||||
|
||||
def _unstamped(items):
|
||||
"""Strip push stamps from a StreamChannel's internal buffer."""
|
||||
return [item for _stamp, item in items]
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Helpers
|
||||
# ---------------------------------------------------------------------------
|
||||
@@ -152,7 +147,7 @@ def _lifecycle(
|
||||
def _simple_graph():
|
||||
def call_model(state: MessagesState) -> dict[str, Any]:
|
||||
model = GenericFakeChatModel(messages=iter(["hello world"]))
|
||||
stream = model.stream_events(state["messages"], version="v3")
|
||||
stream = model.stream_v2(state["messages"])
|
||||
return {"messages": stream.output}
|
||||
|
||||
return (
|
||||
@@ -179,7 +174,7 @@ class TestProtocolEventRouting:
|
||||
)
|
||||
)
|
||||
log.close()
|
||||
(stream,) = _unstamped(log._items)
|
||||
(stream,) = list(log._items)
|
||||
assert isinstance(stream, ChatModelStream)
|
||||
assert stream.message_id == "run-1"
|
||||
|
||||
@@ -188,7 +183,7 @@ class TestProtocolEventRouting:
|
||||
for evt in _lifecycle(text="hello world"):
|
||||
t.process(_proto_event(evt, run_id="run-1"))
|
||||
log.close()
|
||||
(stream,) = _unstamped(log._items)
|
||||
(stream,) = list(log._items)
|
||||
assert stream.done
|
||||
assert stream.output.text == "hello world"
|
||||
|
||||
@@ -211,7 +206,7 @@ class TestProtocolEventRouting:
|
||||
)
|
||||
)
|
||||
log.close()
|
||||
assert _unstamped(log._items) == []
|
||||
assert list(log._items) == []
|
||||
|
||||
def test_concurrent_streams_routed_by_run_id(self) -> None:
|
||||
t, log = _make_sync_transformer()
|
||||
@@ -221,7 +216,7 @@ class TestProtocolEventRouting:
|
||||
t.process(_proto_event(a, run_id="run-a"))
|
||||
t.process(_proto_event(b, run_id="run-b"))
|
||||
log.close()
|
||||
streams = _unstamped(log._items)
|
||||
streams = list(log._items)
|
||||
assert len(streams) == 2
|
||||
by_id = {s.message_id: s for s in streams}
|
||||
assert by_id["run-a"].output.text == "aaaa"
|
||||
@@ -232,7 +227,7 @@ class TestProtocolEventRouting:
|
||||
for evt in _lifecycle(text="abcdef"):
|
||||
t.process(_proto_event(evt))
|
||||
log.close()
|
||||
(stream,) = _unstamped(log._items)
|
||||
(stream,) = list(log._items)
|
||||
assert "".join(stream._text_proj._deltas) == "abcdef"
|
||||
|
||||
def test_stream_pushed_on_message_start_not_finish(self) -> None:
|
||||
@@ -255,7 +250,7 @@ class TestProtocolEventRouting:
|
||||
node="my_llm",
|
||||
)
|
||||
)
|
||||
(stream,) = _unstamped(log._items)
|
||||
(stream,) = list(log._items)
|
||||
assert stream.node == "my_llm"
|
||||
|
||||
|
||||
@@ -269,7 +264,7 @@ class TestWholeMessageFallback:
|
||||
t, log = _make_sync_transformer()
|
||||
t.process(_whole_msg("the full answer"))
|
||||
log.close()
|
||||
(stream,) = _unstamped(log._items)
|
||||
(stream,) = list(log._items)
|
||||
assert stream.done
|
||||
assert stream.output.text == "the full answer"
|
||||
|
||||
@@ -277,7 +272,7 @@ class TestWholeMessageFallback:
|
||||
t, log = _make_sync_transformer()
|
||||
t.process(_whole_msg("full"))
|
||||
log.close()
|
||||
(stream,) = _unstamped(log._items)
|
||||
(stream,) = list(log._items)
|
||||
assert [e["event"] for e in stream._events] == [
|
||||
"message-start",
|
||||
"content-block-start",
|
||||
@@ -323,16 +318,16 @@ class TestFiltering:
|
||||
}
|
||||
)
|
||||
log.close()
|
||||
assert _unstamped(log._items) == []
|
||||
assert list(log._items) == []
|
||||
|
||||
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_events(version="v3").
|
||||
# into this projection; callers must migrate to stream_v2.
|
||||
t, log = _make_sync_transformer()
|
||||
t.process(_v1_chunk("hello"))
|
||||
t.process(_v1_chunk(" world", finish=True))
|
||||
log.close()
|
||||
assert _unstamped(log._items) == []
|
||||
assert list(log._items) == []
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
@@ -348,7 +343,7 @@ class TestLifecycle:
|
||||
{"event": "message-start", "message_id": "run-1"}, run_id="run-1"
|
||||
)
|
||||
)
|
||||
streams = _unstamped(log._items)
|
||||
streams = list(log._items)
|
||||
err = RuntimeError("graph died")
|
||||
t.fail(err)
|
||||
assert t._by_run == {}
|
||||
@@ -376,14 +371,14 @@ class TestAsyncMode:
|
||||
t, log = _make_async_transformer()
|
||||
for evt in _lifecycle(text="async stream"):
|
||||
t.process(_proto_event(evt))
|
||||
assert isinstance(_unstamped(log._items)[0], AsyncChatModelStream)
|
||||
assert isinstance(list(log._items)[0], AsyncChatModelStream)
|
||||
|
||||
@pytest.mark.anyio
|
||||
async def test_text_projection_yields_deltas(self) -> None:
|
||||
t, log = _make_async_transformer()
|
||||
for evt in _lifecycle(text="hello world"):
|
||||
t.process(_proto_event(evt))
|
||||
(stream,) = _unstamped(log._items)
|
||||
(stream,) = list(log._items)
|
||||
assert isinstance(stream, AsyncChatModelStream)
|
||||
assert "".join([d async for d in stream.text]) == "hello world"
|
||||
|
||||
@@ -392,7 +387,7 @@ class TestAsyncMode:
|
||||
t, log = _make_async_transformer()
|
||||
for evt in _lifecycle(text="async"):
|
||||
t.process(_proto_event(evt))
|
||||
(stream,) = _unstamped(log._items)
|
||||
(stream,) = list(log._items)
|
||||
assert (await stream.output).text == "async"
|
||||
|
||||
|
||||
@@ -424,7 +419,7 @@ class TestWireRequestMore:
|
||||
for evt in _lifecycle():
|
||||
messages_t.process(_proto_event(evt))
|
||||
|
||||
(stream,) = _unstamped(log._items)
|
||||
(stream,) = list(log._items)
|
||||
assert stream._request_more is messages_t._pump_fn
|
||||
|
||||
|
||||
@@ -450,14 +445,14 @@ class TestViaMux:
|
||||
for evt in _lifecycle(text="mux stream"):
|
||||
mux.push(_proto_event(evt))
|
||||
mux.close()
|
||||
(stream,) = _unstamped(log._items)
|
||||
(stream,) = list(log._items)
|
||||
assert stream.output.text == "mux stream"
|
||||
|
||||
def test_whole_message_via_mux(self) -> None:
|
||||
t, mux, log = self._make_mux()
|
||||
mux.push(_whole_msg("result"))
|
||||
mux.close()
|
||||
(stream,) = _unstamped(log._items)
|
||||
(stream,) = list(log._items)
|
||||
assert stream.output.text == "result"
|
||||
|
||||
@pytest.mark.anyio
|
||||
@@ -471,24 +466,24 @@ class TestViaMux:
|
||||
for evt in _lifecycle(text="async mux"):
|
||||
await mux.apush(_proto_event(evt))
|
||||
|
||||
(stream,) = _unstamped(log._items)
|
||||
(stream,) = list(log._items)
|
||||
assert (await stream.output).text == "async mux"
|
||||
await mux.aclose()
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# End-to-end: graph → stream_events(version="v3") → run.messages (node calls stream_events)
|
||||
# End-to-end: graph → stream_v2 → run.messages (node calls stream_v2)
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestEndToEnd:
|
||||
"""stream_events(version="v3") path: node calls model.stream_events() explicitly."""
|
||||
"""stream_v2 path: node calls model.stream_v2() 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_events(state["messages"], version="v3")
|
||||
stream = model.stream_v2(state["messages"])
|
||||
return {"messages": stream.output}
|
||||
|
||||
graph = (
|
||||
@@ -499,7 +494,7 @@ class TestEndToEnd:
|
||||
.compile()
|
||||
)
|
||||
|
||||
run = graph.stream_events({"messages": "hi"}, version="v3")
|
||||
run = graph.stream_v2({"messages": "hi"})
|
||||
(stream,) = list(run.messages)
|
||||
assert isinstance(stream, ChatModelStream)
|
||||
assert stream.output.text == "hello world"
|
||||
@@ -509,7 +504,7 @@ class TestEndToEnd:
|
||||
model = GenericFakeChatModel(messages=iter(["streamed answer"]))
|
||||
|
||||
def call_model(state: MessagesState) -> dict[str, Any]:
|
||||
stream = model.stream_events(state["messages"], version="v3")
|
||||
stream = model.stream_v2(state["messages"])
|
||||
return {"messages": stream.output}
|
||||
|
||||
graph = (
|
||||
@@ -520,7 +515,7 @@ class TestEndToEnd:
|
||||
.compile()
|
||||
)
|
||||
|
||||
run = graph.stream_events({"messages": "go"}, version="v3")
|
||||
run = graph.stream_v2({"messages": "go"})
|
||||
(stream,) = list(run.messages)
|
||||
assert "".join(stream.text) == "streamed answer"
|
||||
|
||||
@@ -538,7 +533,7 @@ class TestEndToEnd:
|
||||
.compile()
|
||||
)
|
||||
|
||||
run = graph.stream_events({"messages": "hi"}, version="v3")
|
||||
run = graph.stream_v2({"messages": "hi"})
|
||||
(stream,) = list(run.messages)
|
||||
assert stream.output.text == "hardcoded"
|
||||
|
||||
@@ -547,7 +542,7 @@ class TestEndToEnd:
|
||||
model = GenericFakeChatModel(messages=iter(["async answer"]))
|
||||
|
||||
async def call_model(state: MessagesState) -> dict[str, Any]:
|
||||
stream = await model.astream_events(state["messages"], version="v3")
|
||||
stream = await model.astream_v2(state["messages"])
|
||||
return {"messages": await stream}
|
||||
|
||||
graph = (
|
||||
@@ -558,7 +553,7 @@ class TestEndToEnd:
|
||||
.compile()
|
||||
)
|
||||
|
||||
run = await graph.astream_events({"messages": "hi"}, version="v3")
|
||||
run = await graph.astream_v2({"messages": "hi"})
|
||||
streams = [s async for s in run.messages]
|
||||
assert len(streams) == 1
|
||||
assert isinstance(streams[0], AsyncChatModelStream)
|
||||
@@ -572,7 +567,7 @@ class TestEndToEnd:
|
||||
model = GenericFakeChatModel(messages=iter(["hello world"]))
|
||||
|
||||
async def call_model(state: MessagesState) -> dict[str, Any]:
|
||||
stream = await model.astream_events(state["messages"], version="v3")
|
||||
stream = await model.astream_v2(state["messages"])
|
||||
return {"messages": await stream}
|
||||
|
||||
graph = (
|
||||
@@ -583,7 +578,7 @@ class TestEndToEnd:
|
||||
.compile()
|
||||
)
|
||||
|
||||
run = await graph.astream_events({"messages": "hi"}, version="v3")
|
||||
run = await graph.astream_v2({"messages": "hi"})
|
||||
|
||||
async def consume() -> list[str]:
|
||||
collected: list[str] = []
|
||||
@@ -596,12 +591,12 @@ class TestEndToEnd:
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# End-to-end: graph → stream_events(version="v3") → run.messages (node calls invoke)
|
||||
# End-to-end: graph → stream_v2 → run.messages (node calls invoke)
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestEndToEndV2Invoke:
|
||||
"""Auto-routing path: stream_events(version="v3") injects CONFIG_KEY_STREAM_MESSAGES_V2,
|
||||
"""Auto-routing path: stream_v2 injects CONFIG_KEY_STREAM_MESSAGES_V2,
|
||||
causing BaseChatModel to drive the v2 protocol event generator even for
|
||||
model.invoke()."""
|
||||
|
||||
@@ -620,7 +615,7 @@ class TestEndToEndV2Invoke:
|
||||
def test_invoke_populates_messages(self) -> None:
|
||||
run = self._graph(
|
||||
GenericFakeChatModel(messages=iter(["hello world"]))
|
||||
).stream_events({"messages": "hi"}, version="v3")
|
||||
).stream_v2({"messages": "hi"})
|
||||
(stream,) = list(run.messages)
|
||||
assert isinstance(stream, ChatModelStream)
|
||||
assert stream.output.text == "hello world"
|
||||
@@ -629,7 +624,7 @@ class TestEndToEndV2Invoke:
|
||||
"""Iterating the stream yields the full v2 lifecycle, not v1 chunks."""
|
||||
run = self._graph(
|
||||
GenericFakeChatModel(messages=iter(["streamed answer"]))
|
||||
).stream_events({"messages": "go"}, version="v3")
|
||||
).stream_v2({"messages": "go"})
|
||||
(stream,) = list(run.messages)
|
||||
|
||||
events = list(stream)
|
||||
@@ -650,7 +645,7 @@ class TestEndToEndV2Invoke:
|
||||
def test_invoke_text_deltas_iterate(self) -> None:
|
||||
run = self._graph(
|
||||
GenericFakeChatModel(messages=iter(["delta streaming works"]))
|
||||
).stream_events({"messages": "hi"}, version="v3")
|
||||
).stream_v2({"messages": "hi"})
|
||||
(stream,) = list(run.messages)
|
||||
assert "".join(stream.text) == "delta streaming works"
|
||||
|
||||
@@ -674,7 +669,7 @@ class TestEndToEndV2Invoke:
|
||||
.compile()
|
||||
)
|
||||
|
||||
streams = list(graph.stream_events({"messages": "hi"}, version="v3").messages)
|
||||
streams = list(graph.stream_v2({"messages": "hi"}).messages)
|
||||
assert len(streams) == 2
|
||||
assert {s.output.text for s in streams} == {"alpha", "beta"}
|
||||
|
||||
@@ -698,7 +693,7 @@ class TestEndToEndV2Invoke:
|
||||
.compile()
|
||||
)
|
||||
|
||||
run = graph.stream_events({"messages": "hi"}, version="v3")
|
||||
run = graph.stream_v2({"messages": "hi"})
|
||||
streams = list(run.messages)
|
||||
assert len(streams) == 2
|
||||
assert streams[0].node == "streaming_node"
|
||||
@@ -722,7 +717,7 @@ class TestEndToEndV2Invoke:
|
||||
.compile()
|
||||
)
|
||||
|
||||
run = await graph.astream_events({"messages": "hi"}, version="v3")
|
||||
run = await graph.astream_v2({"messages": "hi"})
|
||||
streams = [s async for s in run.messages]
|
||||
assert len(streams) == 1
|
||||
assert isinstance(streams[0], AsyncChatModelStream)
|
||||
@@ -737,7 +732,7 @@ 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_events(version="v3") / astream_events(version="v3")."""
|
||||
the v2 flag is only injected by stream_v2 / astream_v2."""
|
||||
model = GenericFakeChatModel(messages=iter(["legacy path"]))
|
||||
|
||||
def call_model(state: MessagesState) -> dict[str, Any]:
|
||||
@@ -760,10 +755,8 @@ class TestDirectMessagesModeStaysV1:
|
||||
== "legacy path"
|
||||
)
|
||||
|
||||
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
|
||||
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
|
||||
`stream_mode="messages"` call onto the v2 event protocol."""
|
||||
model = GenericFakeChatModel(messages=iter(["nested legacy path"]))
|
||||
|
||||
@@ -814,7 +807,7 @@ class TestDirectMessagesModeStaysV1:
|
||||
.compile()
|
||||
)
|
||||
|
||||
result = outer.stream_events({}, version="v3").output
|
||||
result = outer.stream_v2({}).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_events(version="v3")`.
|
||||
`stream_v2`.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
@@ -93,7 +93,7 @@ def _tasks_result(
|
||||
|
||||
|
||||
def _native_factories() -> list[Any]:
|
||||
"""Mirror the factory list `Pregel.stream_events(version="v3")` registers."""
|
||||
"""Mirror the factory list `Pregel.stream_v2` registers."""
|
||||
return [
|
||||
ValuesTransformer,
|
||||
MessagesTransformer,
|
||||
@@ -159,13 +159,8 @@ def _subgraph_transformer(mux: StreamMux) -> SubgraphTransformer:
|
||||
return transformer
|
||||
|
||||
|
||||
def _unstamped(items):
|
||||
"""Strip push stamps from a StreamChannel's internal buffer."""
|
||||
return [item for _stamp, item in items]
|
||||
|
||||
|
||||
def _drain_subgraphs(mux: StreamMux) -> list[SubgraphRunStream]:
|
||||
return _unstamped(_subgraph_transformer(mux)._log._items)
|
||||
return list(_subgraph_transformer(mux)._log._items)
|
||||
|
||||
|
||||
def _child_mux(handle: SubgraphRunStream | AsyncSubgraphRunStream) -> StreamMux:
|
||||
@@ -174,13 +169,13 @@ def _child_mux(handle: SubgraphRunStream | AsyncSubgraphRunStream) -> StreamMux:
|
||||
|
||||
|
||||
def _event_items(mux: StreamMux) -> list[ProtocolEvent]:
|
||||
return _unstamped(mux._events._items)
|
||||
return list(mux._events._items)
|
||||
|
||||
|
||||
def _lifecycle_payloads(mux: StreamMux) -> list[dict[str, Any]]:
|
||||
lifecycle_t = mux.transformer_by_key("lifecycle")
|
||||
assert isinstance(lifecycle_t, LifecycleTransformer)
|
||||
return _unstamped(lifecycle_t._channel._items)
|
||||
return list(lifecycle_t._channel._items)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
@@ -252,7 +247,7 @@ def test_grandchild_discovered_via_child_mini_mux() -> None:
|
||||
[child_handle] = _drain_subgraphs(mux)
|
||||
assert child_handle.path == ("agent:abc",)
|
||||
# The grandchild appears on the CHILD'S subgraphs projection.
|
||||
grandchildren = _unstamped(child_handle.subgraphs._items)
|
||||
grandchildren = list(child_handle.subgraphs._items)
|
||||
assert len(grandchildren) == 1
|
||||
assert grandchildren[0].path == ("agent:abc", "tool:def")
|
||||
|
||||
@@ -761,10 +756,10 @@ def _make_failing_nested() -> Any:
|
||||
return outer_b.compile()
|
||||
|
||||
|
||||
def test_stream_events_v3_real_graph_yields_subgraph_handles() -> None:
|
||||
def test_stream_v2_real_graph_yields_subgraph_handles() -> None:
|
||||
"""Iterating `run.subgraphs` yields handles for direct-child subgraphs."""
|
||||
graph = _make_two_level_nested()
|
||||
run = graph.stream_events({"value": "x", "items": []}, version="v3")
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
|
||||
handle_paths: list[tuple[str, ...]] = []
|
||||
final_status: dict[tuple[str, ...], str] = {}
|
||||
@@ -780,10 +775,10 @@ def test_stream_events_v3_real_graph_yields_subgraph_handles() -> None:
|
||||
assert final_status[handle_paths[0]] == "completed"
|
||||
|
||||
|
||||
def test_stream_events_v3_grandchild_visible_on_child_handle() -> None:
|
||||
def test_stream_v2_grandchild_visible_on_child_handle() -> None:
|
||||
"""Drilling into `handle.subgraphs` surfaces nested grandchildren."""
|
||||
graph = _make_two_level_nested()
|
||||
run = graph.stream_events({"value": "x", "items": []}, version="v3")
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
|
||||
grandchild_paths: list[tuple[str, ...]] = []
|
||||
middle_path: tuple[str, ...] | None = None
|
||||
@@ -810,7 +805,7 @@ 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_events({"value": "x", "items": []}, version="v3")
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
|
||||
paths: list[tuple[str, ...]] = []
|
||||
second_values: list[dict[str, Any]] = []
|
||||
@@ -829,7 +824,7 @@ 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_events({"value": "x", "items": []}, version="v3")
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
|
||||
seen: list[str | None] = []
|
||||
for handle in run.subgraphs:
|
||||
@@ -847,7 +842,7 @@ 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_events({"value": "x", "items": []}, version="v3")
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
|
||||
handle = next(iter(run.subgraphs))
|
||||
with pytest.raises(RuntimeError, match="child boom"):
|
||||
|
||||
+1
-29
@@ -19,11 +19,9 @@ from typing_extensions import TypedDict, assert_type
|
||||
|
||||
from langgraph._internal._constants import INTERRUPT
|
||||
from langgraph.constants import END, START
|
||||
from langgraph.errors import GraphDrained
|
||||
from langgraph.func import entrypoint
|
||||
from langgraph.graph import StateGraph
|
||||
from langgraph.graph.message import MessagesState
|
||||
from langgraph.runtime import RunControl
|
||||
from langgraph.types import (
|
||||
CheckpointPayload,
|
||||
CheckpointStreamPart,
|
||||
@@ -231,32 +229,6 @@ class TestV2Stream:
|
||||
for c in chunks:
|
||||
_assert_stream_part_shape(c)
|
||||
|
||||
def test_stream_events_v3_accepts_control_for_drain(self) -> None:
|
||||
class DrainState(TypedDict, total=False):
|
||||
value: str
|
||||
skipped: str
|
||||
|
||||
control = RunControl()
|
||||
|
||||
def first_node(state: DrainState) -> dict[str, str]:
|
||||
control.request_drain("sigterm")
|
||||
return {"value": "done"}
|
||||
|
||||
def second_node(state: DrainState) -> dict[str, str]:
|
||||
return {"skipped": "nope"}
|
||||
|
||||
builder = StateGraph(DrainState)
|
||||
builder.add_node("first", first_node)
|
||||
builder.add_node("second", second_node)
|
||||
builder.add_edge(START, "first")
|
||||
builder.add_edge("first", "second")
|
||||
builder.add_edge("second", END)
|
||||
graph = builder.compile()
|
||||
|
||||
run = graph.stream_events({}, control=control, version="v3")
|
||||
with pytest.raises(GraphDrained, match="sigterm"):
|
||||
list(run.values)
|
||||
|
||||
def test_subgraphs_ns(self) -> None:
|
||||
outer = _make_subgraph()
|
||||
chunks = list(
|
||||
@@ -1124,7 +1096,7 @@ class TestV2ValidationErrors:
|
||||
|
||||
_INVALID_INPUT: dict[str, Any] = {"value": [1, 2, 3], "items": []}
|
||||
|
||||
def test_stream_events_v3_pydantic_validation_error(self) -> None:
|
||||
def test_stream_v2_pydantic_validation_error(self) -> None:
|
||||
"""Invalid input to stream with v2 + pydantic state raises ValidationError."""
|
||||
graph = _make_pydantic_graph()
|
||||
with pytest.raises(ValidationError):
|
||||
+39
-55
@@ -1,9 +1,9 @@
|
||||
"""End-to-end tests exercising all stream_events(version="v3") projections together.
|
||||
"""End-to-end tests exercising all stream_v2 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_events(version="v3") / astream_events(version="v3") run.
|
||||
results through a single stream_v2 / astream_v2 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_events(version="v3") and verify values + lifecycle."""
|
||||
"""Run a nested graph through stream_v2 and verify values + lifecycle."""
|
||||
graph = _make_nested_graph()
|
||||
run = graph.stream_events({"value": "x", "items": []}, version="v3")
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
|
||||
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_events({"value": "x", "items": []}, version="v3")
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
|
||||
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_events({"value": "x", "items": []}, version="v3")
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
events = list(run)
|
||||
assert len(events) > 0
|
||||
|
||||
@@ -285,15 +285,11 @@ 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_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
run1 = _make_nested_graph().stream_v2({"value": "x", "items": []})
|
||||
snapshots = list(run1.values)
|
||||
final_via_values = snapshots[-1]
|
||||
|
||||
run2 = _make_nested_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
run2 = _make_nested_graph().stream_v2({"value": "x", "items": []})
|
||||
final_via_output = run2.output
|
||||
|
||||
assert final_via_values == final_via_output
|
||||
@@ -301,7 +297,7 @@ 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_events({"value": "x", "items": []}, version="v3") as run:
|
||||
with graph.stream_v2({"value": "x", "items": []}) as run:
|
||||
first_val = next(iter(run.values))
|
||||
assert isinstance(first_val, dict)
|
||||
assert run._exhausted is True
|
||||
@@ -309,7 +305,7 @@ 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_events({"value": "x", "items": []}, version="v3")
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
_ = run.output
|
||||
|
||||
assert "values" in run.extensions
|
||||
@@ -331,7 +327,7 @@ 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_events({"messages": "hi"}, version="v3")
|
||||
run = graph.stream_v2({"messages": "hi"})
|
||||
streams = list(run.messages)
|
||||
|
||||
assert len(streams) >= 1
|
||||
@@ -354,7 +350,7 @@ class TestStreamV2E2EMessages:
|
||||
.compile()
|
||||
)
|
||||
|
||||
run = graph.stream_events({"messages": "go"}, version="v3")
|
||||
run = graph.stream_v2({"messages": "go"})
|
||||
(stream,) = list(run.messages)
|
||||
assert "".join(stream.text) == "streamed answer"
|
||||
|
||||
@@ -372,7 +368,7 @@ class TestStreamV2E2EMessages:
|
||||
.compile()
|
||||
)
|
||||
|
||||
run = graph.stream_events({"messages": "hi"}, version="v3")
|
||||
run = graph.stream_v2({"messages": "hi"})
|
||||
(stream,) = list(run.messages)
|
||||
assert stream.output.text == "hardcoded"
|
||||
assert stream.message_id == "msg-1"
|
||||
@@ -380,7 +376,7 @@ 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_events({"messages": ["hi"], "done": False}, version="v3")
|
||||
run = graph.stream_v2({"messages": ["hi"], "done": False})
|
||||
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.
|
||||
@@ -389,7 +385,7 @@ 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_events({"messages": ["hi"], "done": False}, version="v3")
|
||||
run = graph.stream_v2({"messages": ["hi"], "done": False})
|
||||
|
||||
found_messages = False
|
||||
for handle in run.subgraphs:
|
||||
@@ -411,9 +407,8 @@ 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_events(
|
||||
run = graph.stream_v2(
|
||||
{"value": "x", "items": []},
|
||||
version="v3",
|
||||
transformers=[_CustomPassthroughTransformer],
|
||||
)
|
||||
events = list(run)
|
||||
@@ -425,7 +420,7 @@ 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_events({"value": "x", "items": []}, version="v3")
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
events = list(run)
|
||||
custom = [e for e in events if e["method"] == "custom"]
|
||||
assert custom == []
|
||||
@@ -433,9 +428,8 @@ 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_events(
|
||||
run = graph.stream_v2(
|
||||
{"value": "x", "items": []},
|
||||
version="v3",
|
||||
transformers=[_CounterTransformer],
|
||||
)
|
||||
|
||||
@@ -450,9 +444,8 @@ 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_events(
|
||||
run = graph.stream_v2(
|
||||
{"value": "x", "items": []},
|
||||
version="v3",
|
||||
transformers=[_CounterTransformer],
|
||||
)
|
||||
events = list(run)
|
||||
@@ -471,7 +464,7 @@ 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_events({"value": "x", "items": []}, config, version="v3")
|
||||
run = graph.stream_v2({"value": "x", "items": []}, config)
|
||||
|
||||
output = run.output
|
||||
assert output is not None
|
||||
@@ -484,7 +477,7 @@ 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_events({"value": "x", "items": []}, config, version="v3")
|
||||
run = graph.stream_v2({"value": "x", "items": []}, config)
|
||||
|
||||
snapshots = list(run.values)
|
||||
assert len(snapshots) >= 1
|
||||
@@ -501,14 +494,14 @@ 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_events({"value": "x", "items": []}, version="v3")
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
|
||||
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_events({"value": "x", "items": []}, version="v3")
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
|
||||
with pytest.raises(ValueError, match="subgraph explosion"):
|
||||
list(run)
|
||||
@@ -516,7 +509,7 @@ class TestStreamV2E2EErrors:
|
||||
def test_error_subgraph_handle_status(self) -> None:
|
||||
"""Subgraph handle surfaces the error status."""
|
||||
graph = _make_error_subgraph()
|
||||
run = graph.stream_events({"value": "x", "items": []}, version="v3")
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
|
||||
handle = next(iter(run.subgraphs))
|
||||
with pytest.raises(RuntimeError, match="subgraph explosion"):
|
||||
@@ -536,7 +529,7 @@ class TestStreamV2E2EAsync:
|
||||
async def test_all_projections_async(self) -> None:
|
||||
"""Async run exercises values projection."""
|
||||
graph = _make_nested_graph()
|
||||
run = await graph.astream_events({"value": "x", "items": []}, version="v3")
|
||||
run = await graph.astream_v2({"value": "x", "items": []})
|
||||
|
||||
values_snapshots = [s async for s in run.values]
|
||||
assert len(values_snapshots) >= 1
|
||||
@@ -547,7 +540,7 @@ class TestStreamV2E2EAsync:
|
||||
async def test_async_output(self) -> None:
|
||||
"""Async output returns the final state."""
|
||||
graph = _make_nested_graph()
|
||||
run = await graph.astream_events({"value": "x", "items": []}, version="v3")
|
||||
run = await graph.astream_v2({"value": "x", "items": []})
|
||||
output = await run.output()
|
||||
assert output is not None
|
||||
assert output["value"] == "x_routed_processed"
|
||||
@@ -557,7 +550,7 @@ 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_events({"value": "x", "items": []}, version="v3")
|
||||
run = await graph.astream_v2({"value": "x", "items": []})
|
||||
events = [e async for e in run]
|
||||
assert len(events) > 0
|
||||
seqs = [e["seq"] for e in events]
|
||||
@@ -579,7 +572,7 @@ class TestStreamV2E2EAsync:
|
||||
.compile()
|
||||
)
|
||||
|
||||
run = await graph.astream_events({"messages": "hi"}, version="v3")
|
||||
run = await graph.astream_v2({"messages": "hi"})
|
||||
streams = [s async for s in run.messages]
|
||||
assert len(streams) >= 1
|
||||
for s in streams:
|
||||
@@ -590,9 +583,7 @@ 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_events(
|
||||
{"value": "x", "items": []}, config, version="v3"
|
||||
)
|
||||
run = await graph.astream_v2({"value": "x", "items": []}, config)
|
||||
|
||||
output = await run.output()
|
||||
assert output is not None
|
||||
@@ -602,14 +593,14 @@ 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_events({"value": "x", "items": []}, version="v3")
|
||||
run = await graph.astream_v2({"value": "x", "items": []})
|
||||
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_events({"value": "x", "items": []}, version="v3")
|
||||
run = await graph.astream_v2({"value": "x", "items": []})
|
||||
async with run:
|
||||
_ = await anext(aiter(run.values))
|
||||
assert run._exhausted is True
|
||||
@@ -617,7 +608,7 @@ class TestStreamV2E2EAsync:
|
||||
async def test_async_extensions_present(self) -> None:
|
||||
"""Async run has all native extensions."""
|
||||
graph = _make_nested_graph()
|
||||
run = await graph.astream_events({"value": "x", "items": []}, version="v3")
|
||||
run = await graph.astream_v2({"value": "x", "items": []})
|
||||
_ = await run.output()
|
||||
assert "values" in run.extensions
|
||||
assert "messages" in run.extensions
|
||||
@@ -627,9 +618,8 @@ class TestStreamV2E2EAsync:
|
||||
async def test_async_custom_transformer(self) -> None:
|
||||
"""Async custom transformer with StreamChannel works."""
|
||||
graph = _make_nested_graph()
|
||||
run = await graph.astream_events(
|
||||
run = await graph.astream_v2(
|
||||
{"value": "x", "items": []},
|
||||
version="v3",
|
||||
transformers=[_CounterTransformer],
|
||||
)
|
||||
assert "counter" in run.extensions
|
||||
@@ -649,7 +639,7 @@ class TestStreamV2E2ECombined:
|
||||
def test_interleave_all_native_projections(self) -> None:
|
||||
"""Interleave values + messages + lifecycle without deadlock."""
|
||||
graph = _make_nested_graph()
|
||||
run = graph.stream_events({"value": "x", "items": []}, version="v3")
|
||||
run = graph.stream_v2({"value": "x", "items": []})
|
||||
|
||||
seen_names: set[str] = set()
|
||||
for name, _item in run.interleave("values", "messages", "lifecycle"):
|
||||
@@ -677,9 +667,8 @@ class TestStreamV2E2ECombined:
|
||||
return True
|
||||
|
||||
graph = _make_nested_graph()
|
||||
run = graph.stream_events(
|
||||
run = graph.stream_v2(
|
||||
{"value": "x", "items": []},
|
||||
version="v3",
|
||||
transformers=[_CounterTransformer, TagTransformer],
|
||||
)
|
||||
|
||||
@@ -733,7 +722,7 @@ class TestStreamV2E2ECombined:
|
||||
.compile()
|
||||
)
|
||||
|
||||
run = outer.stream_events({"items": []}, version="v3")
|
||||
run = outer.stream_v2({"items": []})
|
||||
handles = []
|
||||
for handle in run.subgraphs:
|
||||
list(handle.values)
|
||||
@@ -751,17 +740,13 @@ class TestStreamV2E2ECombined:
|
||||
|
||||
def test_lifecycle_matches_subgraph_handles(self) -> None:
|
||||
"""Lifecycle events and subgraph handles agree on discovered subgraphs."""
|
||||
run1 = _make_nested_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
run1 = _make_nested_graph().stream_v2({"value": "x", "items": []})
|
||||
handle_paths: list[tuple[str, ...]] = []
|
||||
for handle in run1.subgraphs:
|
||||
list(handle.values)
|
||||
handle_paths.append(handle.path)
|
||||
|
||||
run2 = _make_nested_graph().stream_events(
|
||||
{"value": "x", "items": []}, version="v3"
|
||||
)
|
||||
run2 = _make_nested_graph().stream_v2({"value": "x", "items": []})
|
||||
lifecycle = list(run2.lifecycle)
|
||||
|
||||
started_ns = [
|
||||
@@ -788,9 +773,8 @@ class TestStreamV2E2ECombined:
|
||||
.compile()
|
||||
)
|
||||
|
||||
run = graph.stream_events(
|
||||
run = graph.stream_v2(
|
||||
{"messages": "hi"},
|
||||
version="v3",
|
||||
transformers=[_CounterTransformer],
|
||||
)
|
||||
|
||||
Generated
+378
-441
File diff suppressed because it is too large
Load Diff
@@ -77,16 +77,10 @@ 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:
|
||||
|
||||
@@ -44,7 +44,7 @@ import inspect
|
||||
import json
|
||||
from collections.abc import Awaitable, Callable
|
||||
from copy import copy, deepcopy
|
||||
from dataclasses import dataclass, field, replace
|
||||
from dataclasses import dataclass, replace
|
||||
from types import UnionType
|
||||
from typing import (
|
||||
TYPE_CHECKING,
|
||||
@@ -1723,9 +1723,9 @@ class ToolRuntime(_DirectlyInjectedToolArg, Generic[ContextT, StateT]):
|
||||
context: ContextT
|
||||
config: RunnableConfig
|
||||
stream_writer: StreamWriter
|
||||
tools: list[BaseTool]
|
||||
tool_call_id: str | None
|
||||
store: BaseStore | None
|
||||
tools: list[BaseTool] = field(default_factory=list)
|
||||
execution_info: ExecutionInfo | None = None
|
||||
server_info: ServerInfo | None = None
|
||||
|
||||
|
||||
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
|
||||
|
||||
[project]
|
||||
name = "langgraph-prebuilt"
|
||||
version = "1.1.0a2"
|
||||
version = "1.0.12"
|
||||
description = "Library with high-level APIs for creating and executing LangGraph agents and tools."
|
||||
authors = []
|
||||
requires-python = ">=3.10"
|
||||
|
||||
@@ -30,11 +30,6 @@ from langgraph.prebuilt._tool_call_stream import ToolCallStream
|
||||
TS = int(time.time() * 1000)
|
||||
|
||||
|
||||
def _unstamped(items):
|
||||
"""Strip push stamps from a StreamChannel's internal buffer."""
|
||||
return [item for _stamp, item in items]
|
||||
|
||||
|
||||
def _tool_event(
|
||||
event: str,
|
||||
tool_call_id: str,
|
||||
@@ -100,7 +95,7 @@ class TestToolCallTransformerUnit:
|
||||
input={"text": "hi"},
|
||||
)
|
||||
)
|
||||
handles = _unstamped(transformer._log._items)
|
||||
handles = list(transformer._log._items)
|
||||
assert len(handles) == 1
|
||||
h = handles[0]
|
||||
assert isinstance(h, ToolCallStream)
|
||||
@@ -116,7 +111,7 @@ class TestToolCallTransformerUnit:
|
||||
mux.push(_tool_event("tool-output-delta", "tc1", delta="a"))
|
||||
mux.push(_tool_event("tool-output-delta", "tc1", delta="b"))
|
||||
stream = transformer._active["tc1"]
|
||||
assert _unstamped(stream._output_deltas._items) == ["a", "b"]
|
||||
assert list(stream._output_deltas._items) == ["a", "b"]
|
||||
|
||||
def test_finish_closes_stream(self) -> None:
|
||||
mux, transformer = _mux()
|
||||
@@ -147,89 +142,16 @@ 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["b"]._output_deltas._items) == ["B1"]
|
||||
assert list(transformer._active["a"]._output_deltas._items) == ["A1", "A2"]
|
||||
assert list(transformer._active["b"]._output_deltas._items) == ["B1"]
|
||||
|
||||
def test_tools_event_passes_through_main_log(self) -> None:
|
||||
mux, transformer = _mux()
|
||||
_subscribe(mux._events)
|
||||
mux.push(_tool_event("tool-started", "tc1", tool_name="echo"))
|
||||
kept = [e for e in _unstamped(mux._events._items) if e["method"] == "tools"]
|
||||
kept = [e for e in 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
|
||||
@@ -272,9 +194,7 @@ class TestToolCallTransformerEndToEnd:
|
||||
}
|
||||
|
||||
graph = _build_graph(caller, [streamer])
|
||||
run = graph.stream_events(
|
||||
{"messages": []}, transformers=[ToolCallTransformer], version="v3"
|
||||
)
|
||||
run = graph.stream_v2({"messages": []}, transformers=[ToolCallTransformer])
|
||||
|
||||
tool_calls: list[ToolCallStream] = []
|
||||
for tc in run.tool_calls:
|
||||
@@ -310,13 +230,11 @@ 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_events({"messages": []}, version="v3")
|
||||
run_no_tc = graph.stream_v2({"messages": []})
|
||||
assert "tool_calls" not in run_no_tc._mux.extensions # type: ignore[attr-defined]
|
||||
|
||||
# With ToolCallTransformer, the projection is present.
|
||||
run = graph.stream_events(
|
||||
{"messages": []}, transformers=[ToolCallTransformer], version="v3"
|
||||
)
|
||||
run = graph.stream_v2({"messages": []}, transformers=[ToolCallTransformer])
|
||||
assert "tool_calls" in run._mux.extensions # type: ignore[attr-defined]
|
||||
# Drain so the run closes cleanly.
|
||||
list(run.tool_calls)
|
||||
@@ -343,8 +261,8 @@ class TestToolCallTransformerEndToEnd:
|
||||
}
|
||||
|
||||
graph = _build_graph(caller, [astreamer])
|
||||
run = await graph.astream_events(
|
||||
{"messages": []}, version="v3", transformers=[ToolCallTransformer]
|
||||
run = await graph.astream_v2(
|
||||
{"messages": []}, transformers=[ToolCallTransformer]
|
||||
)
|
||||
|
||||
collected: list[ToolCallStream] = []
|
||||
@@ -373,9 +291,7 @@ class TestToolCallTransformerEndToEnd:
|
||||
}
|
||||
|
||||
graph = _build_graph(caller, [boom])
|
||||
run = graph.stream_events(
|
||||
{"messages": []}, transformers=[ToolCallTransformer], version="v3"
|
||||
)
|
||||
run = graph.stream_v2({"messages": []}, transformers=[ToolCallTransformer])
|
||||
|
||||
collected: list[ToolCallStream] = []
|
||||
with pytest.raises(ValueError, match="nope"):
|
||||
|
||||
@@ -2016,19 +2016,6 @@ async def test_tool_node_inject_runtime_dynamic_tool_via_wrap_tool_call_async()
|
||||
assert tool_message.tool_call_id == "call_dynamic_2"
|
||||
|
||||
|
||||
def test_tool_runtime_defaults_tools_to_empty_list() -> None:
|
||||
runtime = ToolRuntime(
|
||||
state={},
|
||||
context=None,
|
||||
config={},
|
||||
stream_writer=lambda *args, **kwargs: None,
|
||||
tool_call_id=None,
|
||||
store=None,
|
||||
)
|
||||
|
||||
assert runtime.tools == []
|
||||
|
||||
|
||||
def test_tool_runtime_forwards_execution_info_server_info_and_tools() -> None:
|
||||
"""Test that execution_info, server_info, and tools are forwarded from Runtime to ToolRuntime."""
|
||||
from langgraph.runtime import ExecutionInfo, ServerInfo
|
||||
|
||||
Generated
+132
-136
@@ -1,10 +1,6 @@
|
||||
version = 1
|
||||
revision = 3
|
||||
requires-python = ">=3.10"
|
||||
resolution-markers = [
|
||||
"python_full_version >= '3.15'",
|
||||
"python_full_version < '3.15'",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "aiosqlite"
|
||||
@@ -253,7 +249,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langchain-core"
|
||||
version = "1.4.0a2"
|
||||
version = "1.3.2"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "jsonpatch" },
|
||||
@@ -266,26 +262,26 @@ dependencies = [
|
||||
{ name = "typing-extensions" },
|
||||
{ name = "uuid-utils" },
|
||||
]
|
||||
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" }
|
||||
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" }
|
||||
wheels = [
|
||||
{ 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" },
|
||||
{ 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" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "langchain-protocol"
|
||||
version = "0.0.14"
|
||||
version = "0.0.12"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "typing-extensions" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/05/bf/efb5e2ed832e4d6d45590e25a9e5191986b291b543bc6a807b48bee070b0/langchain_protocol-0.0.14.tar.gz", hash = "sha256:bc1e8553122e6ede310280462d5813023a172ff2785ccbbdec54d43f3a15e5f2", size = 5862, upload-time = "2026-04-29T16:40:18.657Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/5c/51/1157009b6f94e6e58be58fa8b620187d657909a8b36a6bf5b0c52a2711f6/langchain_protocol-0.0.12.tar.gz", hash = "sha256:5e14c434290a705c9510fdb1a83ecf7561a5e6e0dfd053930ade80dba069269f", size = 6408, upload-time = "2026-04-25T01:05:01.489Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/c2/e9/06c47ecb2aff08f83dfa30058da3bf86be64862c19569043ed5331bbeecd/langchain_protocol-0.0.14-py3-none-any.whl", hash = "sha256:ffc35089779bd8ca217015180cef5e660fc3b074efdaa0f2e95df73583f1a047", size = 6984, upload-time = "2026-04-29T16:40:17.841Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/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" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "langgraph"
|
||||
version = "1.2.0a7"
|
||||
version = "1.1.10"
|
||||
source = { editable = "../langgraph" }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
@@ -298,7 +294,7 @@ dependencies = [
|
||||
|
||||
[package.metadata]
|
||||
requires-dist = [
|
||||
{ name = "langchain-core", specifier = ">=1.4.0a2,<2" },
|
||||
{ name = "langchain-core", specifier = ">=1.3.2,<2" },
|
||||
{ name = "langgraph-checkpoint", editable = "../checkpoint" },
|
||||
{ name = "langgraph-prebuilt", editable = "." },
|
||||
{ name = "langgraph-sdk", editable = "../sdk-py" },
|
||||
@@ -369,7 +365,7 @@ test = [
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-checkpoint"
|
||||
version = "4.1.0a4"
|
||||
version = "4.0.3"
|
||||
source = { editable = "../checkpoint" }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
@@ -417,7 +413,7 @@ test = [
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-checkpoint-postgres"
|
||||
version = "3.1.0a4"
|
||||
version = "3.0.5"
|
||||
source = { editable = "../checkpoint-postgres" }
|
||||
dependencies = [
|
||||
{ name = "langgraph-checkpoint" },
|
||||
@@ -464,7 +460,7 @@ test = [
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-checkpoint-sqlite"
|
||||
version = "3.1.0a1"
|
||||
version = "3.0.3"
|
||||
source = { editable = "../checkpoint-sqlite" }
|
||||
dependencies = [
|
||||
{ name = "aiosqlite" },
|
||||
@@ -507,7 +503,7 @@ test = [
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-prebuilt"
|
||||
version = "1.1.0a2"
|
||||
version = "1.0.12"
|
||||
source = { editable = "." }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
@@ -741,7 +737,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "mypy"
|
||||
version = "1.20.2"
|
||||
version = "1.20.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "librt", marker = "platform_python_implementation != 'PyPy'" },
|
||||
@@ -750,51 +746,51 @@ dependencies = [
|
||||
{ name = "tomli", marker = "python_full_version < '3.11'" },
|
||||
{ name = "typing-extensions" },
|
||||
]
|
||||
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" }
|
||||
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" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/76/97/ce2502df2cecf2ef997b6c6527c4a223b92feb9e7b790cdc8dcd683f3a8a/mypy-1.20.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:cf5a4db6dca263010e2c7bff081c89383c72d187ba2cf4c44759aac970e2f0c4", size = 14457059, upload-time = "2026-04-21T17:06:14.935Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/c9/34/417ee60b822cc80c0f3dc9f495ad7fd8dbb8d8b2cf4baf22d4046d25d01d/mypy-1.20.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:7b0e817b518bff7facd7f85ea05b643ad8bdcce684cf29784987b0a7c8e1f997", size = 13346816, upload-time = "2026-04-21T17:10:41.433Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/4a/85/e20951978702df58379d0bcc2e8f7ccdca4e78cd7dc66dd3ddbf9b29d517/mypy-1.20.2-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:97d7b9a485b40f8ca425460e89bf1da2814625b2da627c0dcc6aa46c92631d14", size = 13772593, upload-time = "2026-04-21T17:08:11.24Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/63/a5/5441a13259ec516c56fd5de0fd96a69a9590ae6c5e5d3e5174aa84b97973/mypy-1.20.2-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1e1c12f6d2db3d78b909b5f77513c11eb7f2dd2782b96a3ab6dffc7d44575c99", size = 14656635, upload-time = "2026-04-21T17:09:54.042Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/3b/51/b89c69157c5e1f19fd125a65d991166a26906e7902f026f00feebbcfa2b9/mypy-1.20.2-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:89dce27e142d25ffbc154c1819383b69f2e9234dc4ed4766f42e0e8cb264ab5c", size = 14943278, upload-time = "2026-04-21T17:09:15.599Z" },
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{ url = "https://files.pythonhosted.org/packages/e9/44/6b0eeecfe96d7cce1d71c66b8e03cb304aa70ec11f1955dc1d6b46aca3c3/mypy-1.20.2-cp310-cp310-win_amd64.whl", hash = "sha256:f376e37f9bf2a946872fc5fd1199c99310748e3c26c7a26683f13f8bdb756cbd", size = 10851915, upload-time = "2026-04-21T17:06:03.5Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/3c/36/6593dc88545d75fb96416184be5392da5e2a8e8c2802a8597913e16ae25c/mypy-1.20.2-cp310-cp310-win_arm64.whl", hash = "sha256:6e2b469efd811707bc530fd1effef0f5d6eebcb7fe376affae69025da4b979a2", size = 9786676, upload-time = "2026-04-21T17:07:02.035Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/1f/4d/9ebeae211caccbdaddde7ed5e31dfcf57faac66be9b11deb1dc6526c8078/mypy-1.20.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4077797a273e56e8843d001e9dfe4ba10e33323d6ade647ff260e5cd97d9758c", size = 14371307, upload-time = "2026-04-21T17:08:56.442Z" },
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{ url = "https://files.pythonhosted.org/packages/95/d7/93473d34b61f04fac1aecc01368485c89c5c4af7a4b9a0cab5d77d04b63f/mypy-1.20.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:cdecf62abcc4292500d7858aeae87a1f8f1150f4c4dd08fb0b336ee79b2a6df3", size = 13258917, upload-time = "2026-04-21T17:05:50.978Z" },
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{ url = "https://files.pythonhosted.org/packages/e2/30/3dd903e8bafb7b5f7bf87fcd58f8382086dea2aa19f0a7b357f21f63071b/mypy-1.20.2-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c566c3a88b6ece59b3d70f65bedef17304f48eb52ff040a6a18214e1917b3254", size = 13700516, upload-time = "2026-04-21T17:11:33.161Z" },
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{ url = "https://files.pythonhosted.org/packages/07/05/c61a140aba4c729ac7bc99ae26fc627c78a6e08f5b9dd319244ea71a3d7e/mypy-1.20.2-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0deb80d062b2479f2c87ae568f89845afc71d11bc41b04179e58165fd9f31e98", size = 14562889, upload-time = "2026-04-21T17:05:27.674Z" },
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{ url = "https://files.pythonhosted.org/packages/fd/87/da78243742ffa8a36d98c3010f0d829f93d5da4e6786f1a1a6f2ad616502/mypy-1.20.2-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:bba9ad231e92a3e424b3e56b65aa17704993425bba97e302c832f9466bb85bac", size = 14803844, upload-time = "2026-04-21T17:10:06.2Z" },
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{ url = "https://files.pythonhosted.org/packages/37/52/10a1ddf91b40f843943a3c6db51e2df59c9e237f29d355e95eaab427461f/mypy-1.20.2-cp311-cp311-win_amd64.whl", hash = "sha256:baf593f2765fa3a6b1ef95807dbaa3d25b594f6a52adcc506a6b9cb115e1be67", size = 10846300, upload-time = "2026-04-21T17:12:23.886Z" },
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[[package]]
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{ url = "https://files.pythonhosted.org/packages/13/e1/1eebcb885c10e19f969dcb93d8413dfee8172578709d7ee933640f5e7147/ruff-0.15.9-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ce187224ef1de1bd225bc9a152ac7102a6171107f026e81f317e4257052916d5", size = 11480576, upload-time = "2026-04-02T18:16:52.986Z" },
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{ url = "https://files.pythonhosted.org/packages/42/aa/4bb3af8e61acd9b1281db2ab77e8b2c3c5e5599bf2a29d4a942f1c62b8d6/ruff-0.15.9-py3-none-manylinux_2_31_riscv64.whl", hash = "sha256:55cc15eee27dc0eebdfcb0d185a6153420efbedc15eb1d38fe5e685657b0f840", size = 11204072, upload-time = "2026-04-02T18:17:13.581Z" },
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{ url = "https://files.pythonhosted.org/packages/69/48/d550dc2aa6e423ea0bcc1d0ff0699325ffe8a811e2dba156bd80750b86dc/ruff-0.15.9-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:a6537f6eed5cda688c81073d46ffdfb962a5f29ecb6f7e770b2dc920598997ed", size = 10594998, upload-time = "2026-04-02T18:16:46.369Z" },
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{ url = "https://files.pythonhosted.org/packages/63/47/321167e17f5344ed5ec6b0aa2cff64efef5f9e985af8f5622cfa6536043f/ruff-0.15.9-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:6d3fcbca7388b066139c523bda744c822258ebdcfbba7d24410c3f454cc9af71", size = 10359769, upload-time = "2026-04-02T18:17:10.994Z" },
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{ url = "https://files.pythonhosted.org/packages/67/5e/074f00b9785d1d2c6f8c22a21e023d0c2c1817838cfca4c8243200a1fa87/ruff-0.15.9-py3-none-musllinux_1_2_i686.whl", hash = "sha256:058d8e99e1bfe79d8a0def0b481c56059ee6716214f7e425d8e737e412d69677", size = 10850236, upload-time = "2026-04-02T18:16:48.749Z" },
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{ url = "https://files.pythonhosted.org/packages/76/37/804c4135a2a2caf042925d30d5f68181bdbd4461fd0d7739da28305df593/ruff-0.15.9-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:8e1ddb11dbd61d5983fa2d7d6370ef3eb210951e443cace19594c01c72abab4c", size = 11358343, upload-time = "2026-04-02T18:16:55.068Z" },
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{ url = "https://files.pythonhosted.org/packages/4c/56/5c7084299bd2cacaa07ae63a91c6f4ba66edc08bf28f356b24f6b717c799/ruff-0.15.9-py3-none-win_amd64.whl", hash = "sha256:45a70921b80e1c10cf0b734ef09421f71b5aa11d27404edc89d7e8a69505e43d", size = 11744969, upload-time = "2026-04-02T18:16:59.611Z" },
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{ url = "https://files.pythonhosted.org/packages/03/36/76704c4f312257d6dbaae3c959add2a622f63fcca9d864659ce6d8d97d3d/ruff-0.15.9-py3-none-win_arm64.whl", hash = "sha256:0694e601c028fd97dc5c6ee244675bc241aeefced7ef80cd9c6935a871078f53", size = 11005870, upload-time = "2026-04-02T18:17:15.773Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
||||
@@ -3,6 +3,6 @@ from langgraph_sdk.client import get_client, get_sync_client
|
||||
from langgraph_sdk.encryption import Encryption
|
||||
from langgraph_sdk.encryption.types import EncryptionContext
|
||||
|
||||
__version__ = "0.3.14"
|
||||
__version__ = "0.3.13"
|
||||
|
||||
__all__ = ["Auth", "Encryption", "EncryptionContext", "get_client", "get_sync_client"]
|
||||
|
||||
@@ -3,7 +3,7 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from collections.abc import AsyncIterator, Mapping, Sequence
|
||||
from typing import Any, Literal, overload
|
||||
from typing import Any
|
||||
|
||||
from langgraph_sdk._async.http import HttpClient
|
||||
from langgraph_sdk.schema import (
|
||||
@@ -172,52 +172,15 @@ class ThreadsClient:
|
||||
"/threads", json=payload, headers=headers, params=params
|
||||
)
|
||||
|
||||
@overload
|
||||
async def update(
|
||||
self,
|
||||
thread_id: str,
|
||||
*,
|
||||
metadata: Mapping[str, Any],
|
||||
ttl: int | Mapping[str, Any] | None = None,
|
||||
return_minimal: Literal[False] = False,
|
||||
headers: Mapping[str, str] | None = None,
|
||||
params: QueryParamTypes | None = None,
|
||||
) -> Thread: ...
|
||||
|
||||
@overload
|
||||
async def update(
|
||||
self,
|
||||
thread_id: str,
|
||||
*,
|
||||
metadata: Mapping[str, Any],
|
||||
ttl: int | Mapping[str, Any] | None = None,
|
||||
return_minimal: Literal[True],
|
||||
headers: Mapping[str, str] | None = None,
|
||||
params: QueryParamTypes | None = None,
|
||||
) -> None: ...
|
||||
|
||||
@overload
|
||||
async def update(
|
||||
self,
|
||||
thread_id: str,
|
||||
*,
|
||||
metadata: Mapping[str, Any],
|
||||
ttl: int | Mapping[str, Any] | None = None,
|
||||
return_minimal: bool,
|
||||
headers: Mapping[str, str] | None = None,
|
||||
params: QueryParamTypes | None = None,
|
||||
) -> Thread | None: ...
|
||||
|
||||
async def update(
|
||||
self,
|
||||
thread_id: str,
|
||||
*,
|
||||
metadata: Mapping[str, Any],
|
||||
ttl: int | Mapping[str, Any] | None = None,
|
||||
return_minimal: bool = False,
|
||||
headers: Mapping[str, str] | None = None,
|
||||
params: QueryParamTypes | None = None,
|
||||
) -> Thread | None:
|
||||
) -> Thread:
|
||||
"""Update a thread.
|
||||
|
||||
Args:
|
||||
@@ -226,12 +189,11 @@ class ThreadsClient:
|
||||
ttl: Optional time-to-live in minutes for the thread. You can pass an
|
||||
integer (minutes) or a mapping with keys `ttl` and optional
|
||||
`strategy` (defaults to "delete").
|
||||
return_minimal: If `True`, request a 204 response with no body.
|
||||
headers: Optional custom headers to include with the request.
|
||||
params: Optional query parameters to include with the request.
|
||||
|
||||
Returns:
|
||||
The updated thread, or `None` when `return_minimal=True`.
|
||||
The created thread.
|
||||
|
||||
???+ example "Example Usage"
|
||||
|
||||
@@ -250,13 +212,10 @@ class ThreadsClient:
|
||||
payload["ttl"] = {"ttl": ttl, "strategy": "delete"}
|
||||
else:
|
||||
payload["ttl"] = ttl
|
||||
request_headers = dict(headers or {})
|
||||
if return_minimal:
|
||||
request_headers["Prefer"] = "return=minimal"
|
||||
return await self.http.patch(
|
||||
f"/threads/{thread_id}",
|
||||
json=payload,
|
||||
headers=request_headers or None,
|
||||
headers=headers,
|
||||
params=params,
|
||||
)
|
||||
|
||||
|
||||
@@ -3,7 +3,7 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from collections.abc import Iterator, Mapping, Sequence
|
||||
from typing import Any, Literal, overload
|
||||
from typing import Any
|
||||
|
||||
from langgraph_sdk._sync.http import SyncHttpClient
|
||||
from langgraph_sdk.schema import (
|
||||
@@ -168,52 +168,15 @@ class SyncThreadsClient:
|
||||
|
||||
return self.http.post("/threads", json=payload, headers=headers, params=params)
|
||||
|
||||
@overload
|
||||
def update(
|
||||
self,
|
||||
thread_id: str,
|
||||
*,
|
||||
metadata: Mapping[str, Any],
|
||||
ttl: int | Mapping[str, Any] | None = None,
|
||||
return_minimal: Literal[False] = False,
|
||||
headers: Mapping[str, str] | None = None,
|
||||
params: QueryParamTypes | None = None,
|
||||
) -> Thread: ...
|
||||
|
||||
@overload
|
||||
def update(
|
||||
self,
|
||||
thread_id: str,
|
||||
*,
|
||||
metadata: Mapping[str, Any],
|
||||
ttl: int | Mapping[str, Any] | None = None,
|
||||
return_minimal: Literal[True],
|
||||
headers: Mapping[str, str] | None = None,
|
||||
params: QueryParamTypes | None = None,
|
||||
) -> None: ...
|
||||
|
||||
@overload
|
||||
def update(
|
||||
self,
|
||||
thread_id: str,
|
||||
*,
|
||||
metadata: Mapping[str, Any],
|
||||
ttl: int | Mapping[str, Any] | None = None,
|
||||
return_minimal: bool,
|
||||
headers: Mapping[str, str] | None = None,
|
||||
params: QueryParamTypes | None = None,
|
||||
) -> Thread | None: ...
|
||||
|
||||
def update(
|
||||
self,
|
||||
thread_id: str,
|
||||
*,
|
||||
metadata: Mapping[str, Any],
|
||||
ttl: int | Mapping[str, Any] | None = None,
|
||||
return_minimal: bool = False,
|
||||
headers: Mapping[str, str] | None = None,
|
||||
params: QueryParamTypes | None = None,
|
||||
) -> Thread | None:
|
||||
) -> Thread:
|
||||
"""Update a thread.
|
||||
|
||||
Args:
|
||||
@@ -222,12 +185,11 @@ class SyncThreadsClient:
|
||||
ttl: Optional time-to-live in minutes for the thread. You can pass an
|
||||
integer (minutes) or a mapping with keys `ttl` and optional
|
||||
`strategy` (defaults to "delete").
|
||||
return_minimal: If `True`, request a 204 response with no body.
|
||||
headers: Optional custom headers to include with the request.
|
||||
params: Optional query parameters to include with the request.
|
||||
|
||||
Returns:
|
||||
The updated `Thread`, or `None` when `return_minimal=True`.
|
||||
The created `Thread`.
|
||||
|
||||
???+ example "Example Usage"
|
||||
|
||||
@@ -246,13 +208,10 @@ class SyncThreadsClient:
|
||||
payload["ttl"] = {"ttl": ttl, "strategy": "delete"}
|
||||
else:
|
||||
payload["ttl"] = ttl
|
||||
request_headers = dict(headers or {})
|
||||
if return_minimal:
|
||||
request_headers["Prefer"] = "return=minimal"
|
||||
return self.http.patch(
|
||||
f"/threads/{thread_id}",
|
||||
json=payload,
|
||||
headers=request_headers or None,
|
||||
headers=headers,
|
||||
params=params,
|
||||
)
|
||||
|
||||
|
||||
@@ -1,58 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
|
||||
import httpx
|
||||
import pytest
|
||||
|
||||
from langgraph_sdk.client import (
|
||||
HttpClient,
|
||||
SyncHttpClient,
|
||||
SyncThreadsClient,
|
||||
ThreadsClient,
|
||||
)
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_async_threads_update_return_minimal():
|
||||
async def handler(request: httpx.Request) -> httpx.Response:
|
||||
assert request.method == "PATCH"
|
||||
assert request.url.path == "/threads/thread_123"
|
||||
assert request.headers["Prefer"] == "return=minimal"
|
||||
assert json.loads(request.content) == {"metadata": {"foo": "bar"}}
|
||||
return httpx.Response(204)
|
||||
|
||||
transport = httpx.MockTransport(handler)
|
||||
async with httpx.AsyncClient(
|
||||
transport=transport, base_url="https://example.com"
|
||||
) as client:
|
||||
http_client = HttpClient(client)
|
||||
threads_client = ThreadsClient(http_client)
|
||||
result = await threads_client.update(
|
||||
"thread_123",
|
||||
metadata={"foo": "bar"},
|
||||
return_minimal=True,
|
||||
)
|
||||
|
||||
assert result is None
|
||||
|
||||
|
||||
def test_sync_threads_update_return_minimal():
|
||||
def handler(request: httpx.Request) -> httpx.Response:
|
||||
assert request.method == "PATCH"
|
||||
assert request.url.path == "/threads/thread_123"
|
||||
assert request.headers["Prefer"] == "return=minimal"
|
||||
assert json.loads(request.content) == {"metadata": {"foo": "bar"}}
|
||||
return httpx.Response(204)
|
||||
|
||||
transport = httpx.MockTransport(handler)
|
||||
with httpx.Client(transport=transport, base_url="https://example.com") as client:
|
||||
http_client = SyncHttpClient(client)
|
||||
threads_client = SyncThreadsClient(http_client)
|
||||
result = threads_client.update(
|
||||
"thread_123",
|
||||
metadata={"foo": "bar"},
|
||||
return_minimal=True,
|
||||
)
|
||||
|
||||
assert result is None
|
||||
Generated
+10
-10
@@ -266,7 +266,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langchain-core"
|
||||
version = "1.4.0a2"
|
||||
version = "1.3.2"
|
||||
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/3c/93/68bafa047f8e1770d0cf0f61d6c70889f1dec42ef6bd263540d916c421b9/langchain_core-1.4.0a2.tar.gz", hash = "sha256:b723c7961b615c7f2180ce2bcf352fdad8247bc51a60adecd3d97088235c120d", size = 916486, upload-time = "2026-05-01T15:02:19.029Z" }
|
||||
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" }
|
||||
wheels = [
|
||||
{ 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" },
|
||||
{ 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" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "langchain-protocol"
|
||||
version = "0.0.14"
|
||||
version = "0.0.12"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "typing-extensions" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/05/bf/efb5e2ed832e4d6d45590e25a9e5191986b291b543bc6a807b48bee070b0/langchain_protocol-0.0.14.tar.gz", hash = "sha256:bc1e8553122e6ede310280462d5813023a172ff2785ccbbdec54d43f3a15e5f2", size = 5862, upload-time = "2026-04-29T16:40:18.657Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/5c/51/1157009b6f94e6e58be58fa8b620187d657909a8b36a6bf5b0c52a2711f6/langchain_protocol-0.0.12.tar.gz", hash = "sha256:5e14c434290a705c9510fdb1a83ecf7561a5e6e0dfd053930ade80dba069269f", size = 6408, upload-time = "2026-04-25T01:05:01.489Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/c2/e9/06c47ecb2aff08f83dfa30058da3bf86be64862c19569043ed5331bbeecd/langchain_protocol-0.0.14-py3-none-any.whl", hash = "sha256:ffc35089779bd8ca217015180cef5e660fc3b074efdaa0f2e95df73583f1a047", size = 6984, upload-time = "2026-04-29T16:40:17.841Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/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" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "langgraph"
|
||||
version = "1.2.0a7"
|
||||
version = "1.1.10"
|
||||
source = { editable = "../langgraph" }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
@@ -311,7 +311,7 @@ dependencies = [
|
||||
|
||||
[package.metadata]
|
||||
requires-dist = [
|
||||
{ name = "langchain-core", specifier = ">=1.4.0a2,<2" },
|
||||
{ name = "langchain-core", specifier = ">=1.3.2,<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 = "4.1.0a4"
|
||||
version = "4.0.3"
|
||||
source = { editable = "../checkpoint" }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
@@ -430,7 +430,7 @@ test = [
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-prebuilt"
|
||||
version = "1.1.0a2"
|
||||
version = "1.0.12"
|
||||
source = { editable = "../prebuilt" }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
|
||||
Reference in New Issue
Block a user