mirror of
https://github.com/langchain-ai/langgraph.git
synced 2026-08-27 01:52:25 +02:00
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[[package]]
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@@ -6,11 +6,6 @@ Implementation of LangGraph CheckpointSaver that uses Postgres.
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By default `langgraph-checkpoint-postgres` installs `psycopg` (Psycopg 3) without any extras. However, you can choose a specific installation that best suits your needs [here](https://www.psycopg.org/psycopg3/docs/basic/install.html) (for example, `psycopg[binary]`).
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## Security
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> [!IMPORTANT]
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> Set `LANGGRAPH_STRICT_MSGPACK=true` or pass an explicit `allowed_msgpack_modules` list when creating your checkpointer. This restricts checkpoint deserialization to known-safe types, preventing code execution if the database is compromised. See the [langgraph-checkpoint README](https://github.com/langchain-ai/langgraph/tree/main/libs/checkpoint#serde) for details.
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## Usage
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> [!IMPORTANT]
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Generated
+7
-126
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[[package]]
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name = "zstandard"
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version = "0.25.0"
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||||
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||||
@@ -2,11 +2,6 @@
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||||
|
||||
Implementation of LangGraph CheckpointSaver that uses SQLite DB (both sync and async, via `aiosqlite`)
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||||
## Security
|
||||
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||||
> [!IMPORTANT]
|
||||
> Set `LANGGRAPH_STRICT_MSGPACK=true` or pass an explicit `allowed_msgpack_modules` list when creating your checkpointer. This restricts checkpoint deserialization to known-safe types, preventing code execution if the database is compromised. See the [langgraph-checkpoint README](https://github.com/langchain-ai/langgraph/tree/main/libs/checkpoint#serde) for details.
|
||||
|
||||
## Usage
|
||||
|
||||
```python
|
||||
|
||||
Generated
+10
-129
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|
||||
|
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|
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[[package]]
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|
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|
||||
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|
||||
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|
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]
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|
||||
[[package]]
|
||||
name = "zstandard"
|
||||
version = "0.25.0"
|
||||
|
||||
@@ -26,9 +26,6 @@ You must pass these when invoking the graph as part of the configurable part of
|
||||
|
||||
`langgraph_checkpoint` also defines protocol for serialization/deserialization (serde) and provides an default implementation (`langgraph.checkpoint.serde.jsonplus.JsonPlusSerializer`) that handles a wide variety of types, including LangChain and LangGraph primitives, datetimes, enums and more.
|
||||
|
||||
> [!IMPORTANT]
|
||||
> **Checkpoint deserialization security:** By default the serializer allows any Python type found in checkpoint data. New applications should set the environment variable `LANGGRAPH_STRICT_MSGPACK=true` or pass an explicit `allowed_msgpack_modules` list to `JsonPlusSerializer` to restrict deserialization to known-safe types.
|
||||
|
||||
### Pending writes
|
||||
|
||||
When a graph node fails mid-execution at a given superstep, LangGraph stores pending checkpoint writes from any other nodes that completed successfully at that superstep, so that whenever we resume graph execution from that superstep we don't re-run the successful nodes.
|
||||
|
||||
@@ -1,10 +1,3 @@
|
||||
"""Msgpack deserialization safety controls.
|
||||
|
||||
Set ``LANGGRAPH_STRICT_MSGPACK=true`` to restrict checkpoint deserialization
|
||||
to the types listed in ``SAFE_MSGPACK_TYPES``. Without this, any Python
|
||||
callable stored in checkpoint data will be imported and executed on load.
|
||||
"""
|
||||
|
||||
import os
|
||||
from collections.abc import Iterable
|
||||
from typing import cast
|
||||
|
||||
@@ -56,10 +56,6 @@ class JsonPlusSerializer(SerializerProtocol):
|
||||
class and called within the Pregel loop. It should not be used on untrusted
|
||||
python objects. If an attacker can write directly to your checkpoint database,
|
||||
they may be able to trigger code execution when data is deserialized.
|
||||
|
||||
Set the environment variable ``LANGGRAPH_STRICT_MSGPACK=true`` to restrict
|
||||
deserialization to a built-in allowlist of safe types. You can also pass
|
||||
an explicit ``allowed_msgpack_modules`` to the constructor.
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
@@ -74,11 +70,8 @@ class JsonPlusSerializer(SerializerProtocol):
|
||||
) -> None:
|
||||
if allowed_msgpack_modules is _lg_msgpack._SENTINEL:
|
||||
if _lg_msgpack.STRICT_MSGPACK_ENABLED:
|
||||
# Strict: only SAFE_MSGPACK_TYPES are allowed.
|
||||
allowed_msgpack_modules = None
|
||||
else:
|
||||
# Permissive (default): all types allowed with a warning.
|
||||
# Set LANGGRAPH_STRICT_MSGPACK=true to lock this down.
|
||||
allowed_msgpack_modules = True
|
||||
self.pickle_fallback = pickle_fallback
|
||||
self._allowed_json_modules: set[tuple[str, ...]] | Literal[True] | None = (
|
||||
@@ -537,8 +530,7 @@ def _create_msgpack_ext_hook(
|
||||
logger.warning(
|
||||
"Deserializing unregistered type %s.%s from checkpoint. "
|
||||
"This will be blocked in a future version. "
|
||||
"Set LANGGRAPH_STRICT_MSGPACK=true to block now, or add "
|
||||
"to allowed_msgpack_modules to allow explicitly: [(%r, %r)]",
|
||||
"Add to allowed_msgpack_modules to silence: [(%r, %r)]",
|
||||
module,
|
||||
name,
|
||||
module,
|
||||
|
||||
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
|
||||
|
||||
[project]
|
||||
name = "langgraph-checkpoint"
|
||||
version = "4.0.2"
|
||||
version = "4.0.1"
|
||||
description = "Library with base interfaces for LangGraph checkpoint savers."
|
||||
authors = []
|
||||
requires-python = ">=3.10"
|
||||
|
||||
Generated
+7
-126
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version "10.0.0"
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resolved "https://registry.yarnpkg.com/@types/uuid/-/uuid-10.0.0.tgz#e9c07fe50da0f53dc24970cca94d619ff03f6f6d"
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json-buffer "3.0.1"
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p-queue "6.6.2"
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uuid "10.0.0"
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||||
"@types/uuid" "^10.0.0"
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chalk "^4.1.2"
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||||
console-table-printer "^2.12.1"
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||||
p-queue "^6.6.2"
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semver "^7.6.3"
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uuid "^10.0.0"
|
||||
|
||||
leven@^3.1.0:
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||||
dependencies:
|
||||
p-limit "^3.0.2"
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|
||||
p-queue@6.6.2, p-queue@^6.6.2:
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||||
p-queue@^6.6.2:
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semver@^7.5.3, semver@^7.5.4, semver@^7.7.2, semver@^7.7.3:
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version "7.7.4"
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|
||||
integrity sha512-bzyZ1e88w9O1iNJbKnOlvYTrWPDl46O1bG0D3XInv+9tkPrxrN8jUUTiFlDkkmKWgn1M6CfIA13SuGqOa9Korw==
|
||||
|
||||
simple-wcswidth@^1.1.2:
|
||||
version "1.1.2"
|
||||
resolved "https://registry.yarnpkg.com/simple-wcswidth/-/simple-wcswidth-1.1.2.tgz#66722f37629d5203f9b47c5477b1225b85d6525b"
|
||||
integrity sha512-j7piyCjAeTDSjzTSQ7DokZtMNwNlEAyxqSZeCS+CXH7fJ4jx3FuJ/mTW3mE+6JLs4VJBbcll0Kjn+KXI5t21Iw==
|
||||
|
||||
slash@^3.0.0:
|
||||
version "3.0.0"
|
||||
resolved "https://registry.yarnpkg.com/slash/-/slash-3.0.0.tgz#6539be870c165adbd5240220dbe361f1bc4d4634"
|
||||
@@ -4849,7 +4870,7 @@ uri-js@^4.2.2:
|
||||
dependencies:
|
||||
punycode "^2.1.0"
|
||||
|
||||
uuid@10.0.0, uuid@^10.0.0:
|
||||
uuid@^10.0.0:
|
||||
version "10.0.0"
|
||||
resolved "https://registry.yarnpkg.com/uuid/-/uuid-10.0.0.tgz#5a95aa454e6e002725c79055fd42aaba30ca6294"
|
||||
integrity sha512-8XkAphELsDnEGrDxUOHB3RGvXz6TeuYSGEZBOjtTtPm2lwhGBjLgOzLHB63IUWfBpNucQjND6d3AOudO+H3RWQ==
|
||||
|
||||
@@ -1328,9 +1328,9 @@ keyv@^4.5.4:
|
||||
json-buffer "3.0.1"
|
||||
|
||||
"langsmith@>=0.5.0 <1.0.0":
|
||||
version "0.5.20"
|
||||
resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.20.tgz#4021847d2ccd5a86c5eb96060f9bb5f19f80eca5"
|
||||
integrity sha512-ULhLM8RswvQDXufLtNtvclHrWCBx8Cb5UPI6lAZC+8Dq59iHsVPz/3Ac9khWNm1VIvChRsuykixD/WrmzuuA3Q==
|
||||
version "0.5.18"
|
||||
resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.18.tgz#c691ad23614f0b46eaf07d982e0ac988e1f43880"
|
||||
integrity sha512-3zuZUWffTHQ+73EAwnodADtf534VNEZUpXr9jC12qyG8/IQuJET7PRsCpTb9wX2lmBspakwLUpqpj3tNm/0bVA==
|
||||
dependencies:
|
||||
p-queue "6.6.2"
|
||||
uuid "10.0.0"
|
||||
|
||||
@@ -1 +1 @@
|
||||
__version__ = "0.4.22"
|
||||
__version__ = "0.4.21"
|
||||
|
||||
@@ -26,15 +26,8 @@ class LogData(TypedDict):
|
||||
params: dict[str, Any]
|
||||
|
||||
|
||||
def get_anonymized_params(
|
||||
kwargs: dict[str, Any], *, cli_command: str
|
||||
) -> dict[str, bool | str]:
|
||||
params: dict[str, bool | str] = {}
|
||||
|
||||
if cli_command == "deploy" and (
|
||||
analytics_source := os.getenv("LANGGRAPH_CLI_ANALYTICS_SOURCE")
|
||||
):
|
||||
params["source"] = analytics_source
|
||||
def get_anonymized_params(kwargs: dict[str, Any]) -> dict[str, bool]:
|
||||
params = {}
|
||||
|
||||
# anonymize params with values
|
||||
if config := kwargs.get("config"):
|
||||
@@ -95,7 +88,7 @@ def log_command(func):
|
||||
"python_version": platform.python_version(),
|
||||
"cli_version": __version__,
|
||||
"cli_command": func.__name__,
|
||||
"params": get_anonymized_params(kwargs, cli_command=func.__name__),
|
||||
"params": get_anonymized_params(kwargs),
|
||||
}
|
||||
|
||||
background_thread = threading.Thread(target=log_data, args=(data,))
|
||||
|
||||
Generated
+3
-3
@@ -290,7 +290,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langsmith"
|
||||
version = "0.7.31"
|
||||
version = "0.7.26"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "httpx" },
|
||||
@@ -303,9 +303,9 @@ dependencies = [
|
||||
{ name = "xxhash" },
|
||||
{ name = "zstandard" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/e6/11/696019490992db5c87774dc20515529ef42a01e1d770fb754ed6d9b12fb0/langsmith-0.7.31.tar.gz", hash = "sha256:331ee4f7c26bb5be4022b9859b7d7b122cbf8c9d01d9f530114c1914b0349ffb", size = 1178480, upload-time = "2026-04-14T17:55:41.242Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/76/86/6de4f6f0451a9658f26f633e0bb090552a4dafd7df3f1ae7f0d40558e67e/langsmith-0.7.26.tar.gz", hash = "sha256:a3e06f3d689ce7195717aa6b8f91082319819ec7ea9b9a62cdcd3d9dc25bfc7b", size = 1146118, upload-time = "2026-04-06T15:01:03.336Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/1d/a1/a013cf458c301cda86a213dd153ce0a01c93f1ab5833f951e6a44c9763ce/langsmith-0.7.31-py3-none-any.whl", hash = "sha256:0291d49203f6e80dda011af1afda61eb0595a4d697adb684590a8805e1d61fb6", size = 373276, upload-time = "2026-04-14T17:55:39.677Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/81/8e/7eb7d65ce62e98e74b9f18f193ea7ac3996d4fbd71fffcc67d0f7ba3103e/langsmith-0.7.26-py3-none-any.whl", hash = "sha256:fe5c877972cea450c1c48251c8fae0f18543c8d19dfdb9ff9a9c4263763dde4e", size = 360160, upload-time = "2026-04-06T15:01:01.516Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
||||
Generated
+3
-3
@@ -266,7 +266,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langsmith"
|
||||
version = "0.7.31"
|
||||
version = "0.7.26"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "httpx" },
|
||||
@@ -279,9 +279,9 @@ dependencies = [
|
||||
{ name = "xxhash" },
|
||||
{ name = "zstandard" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/e6/11/696019490992db5c87774dc20515529ef42a01e1d770fb754ed6d9b12fb0/langsmith-0.7.31.tar.gz", hash = "sha256:331ee4f7c26bb5be4022b9859b7d7b122cbf8c9d01d9f530114c1914b0349ffb", size = 1178480, upload-time = "2026-04-14T17:55:41.242Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/76/86/6de4f6f0451a9658f26f633e0bb090552a4dafd7df3f1ae7f0d40558e67e/langsmith-0.7.26.tar.gz", hash = "sha256:a3e06f3d689ce7195717aa6b8f91082319819ec7ea9b9a62cdcd3d9dc25bfc7b", size = 1146118, upload-time = "2026-04-06T15:01:03.336Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/1d/a1/a013cf458c301cda86a213dd153ce0a01c93f1ab5833f951e6a44c9763ce/langsmith-0.7.31-py3-none-any.whl", hash = "sha256:0291d49203f6e80dda011af1afda61eb0595a4d697adb684590a8805e1d61fb6", size = 373276, upload-time = "2026-04-14T17:55:39.677Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/81/8e/7eb7d65ce62e98e74b9f18f193ea7ac3996d4fbd71fffcc67d0f7ba3103e/langsmith-0.7.26-py3-none-any.whl", hash = "sha256:fe5c877972cea450c1c48251c8fae0f18543c8d19dfdb9ff9a9c4263763dde4e", size = 360160, upload-time = "2026-04-06T15:01:01.516Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
||||
Generated
+6
-6
@@ -907,7 +907,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langchain-core"
|
||||
version = "1.2.28"
|
||||
version = "1.2.27"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "jsonpatch", marker = "python_full_version >= '3.11'" },
|
||||
@@ -919,9 +919,9 @@ dependencies = [
|
||||
{ name = "typing-extensions", marker = "python_full_version >= '3.11'" },
|
||||
{ name = "uuid-utils", marker = "python_full_version >= '3.11'" },
|
||||
]
|
||||
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" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/13/5c/56d19a252bbb26247b7a7cd20821d48804d7ca03212fec709cd8db7c2516/langchain_core-1.2.27.tar.gz", hash = "sha256:c18372e4c4c1454d49bf23a2e484431e71bd39b64173a0f621f0fc283d7183a4", size = 844935, upload-time = "2026-04-07T14:56:32.364Z" }
|
||||
wheels = [
|
||||
{ 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" },
|
||||
{ url = "https://files.pythonhosted.org/packages/c1/c3/6e0865bc130c448270eb9511b47863a3f9145cdb519b19f6e4758fa63d6f/langchain_core-1.2.27-py3-none-any.whl", hash = "sha256:9ecd6b0393b969fe88f6b9b309367134080ab095946d79e6937dd3911aa42bd5", size = 508315, upload-time = "2026-04-07T14:56:30.93Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -1120,7 +1120,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langsmith"
|
||||
version = "0.7.31"
|
||||
version = "0.7.26"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "httpx", marker = "python_full_version >= '3.11'" },
|
||||
@@ -1133,9 +1133,9 @@ dependencies = [
|
||||
{ name = "xxhash", marker = "python_full_version >= '3.11'" },
|
||||
{ name = "zstandard", marker = "python_full_version >= '3.11'" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/e6/11/696019490992db5c87774dc20515529ef42a01e1d770fb754ed6d9b12fb0/langsmith-0.7.31.tar.gz", hash = "sha256:331ee4f7c26bb5be4022b9859b7d7b122cbf8c9d01d9f530114c1914b0349ffb", size = 1178480, upload-time = "2026-04-14T17:55:41.242Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/76/86/6de4f6f0451a9658f26f633e0bb090552a4dafd7df3f1ae7f0d40558e67e/langsmith-0.7.26.tar.gz", hash = "sha256:a3e06f3d689ce7195717aa6b8f91082319819ec7ea9b9a62cdcd3d9dc25bfc7b", size = 1146118, upload-time = "2026-04-06T15:01:03.336Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/1d/a1/a013cf458c301cda86a213dd153ce0a01c93f1ab5833f951e6a44c9763ce/langsmith-0.7.31-py3-none-any.whl", hash = "sha256:0291d49203f6e80dda011af1afda61eb0595a4d697adb684590a8805e1d61fb6", size = 373276, upload-time = "2026-04-14T17:55:39.677Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/81/8e/7eb7d65ce62e98e74b9f18f193ea7ac3996d4fbd71fffcc67d0f7ba3103e/langsmith-0.7.26-py3-none-any.whl", hash = "sha256:fe5c877972cea450c1c48251c8fae0f18543c8d19dfdb9ff9a9c4263763dde4e", size = 360160, upload-time = "2026-04-06T15:01:01.516Z" },
|
||||
]
|
||||
|
||||
[package.optional-dependencies]
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from collections import ChainMap
|
||||
from collections.abc import Sequence
|
||||
from collections.abc import Mapping, Sequence
|
||||
from os import getenv
|
||||
from typing import Any, cast
|
||||
|
||||
@@ -217,16 +217,14 @@ def get_callback_manager_for_config(
|
||||
callbacks.add_tags(all_tags)
|
||||
if metadata := config.get("metadata"):
|
||||
callbacks.add_metadata(metadata)
|
||||
manager = callbacks
|
||||
return callbacks
|
||||
else:
|
||||
# otherwise create a new manager
|
||||
manager = CallbackManager.configure(
|
||||
return CallbackManager.configure(
|
||||
inheritable_callbacks=config.get("callbacks"),
|
||||
inheritable_tags=all_tags,
|
||||
inheritable_metadata=config.get("metadata"),
|
||||
langsmith_inheritable_metadata=_get_tracing_metadata_defaults(config),
|
||||
)
|
||||
return manager
|
||||
|
||||
|
||||
def get_async_callback_manager_for_config(
|
||||
@@ -257,16 +255,14 @@ def get_async_callback_manager_for_config(
|
||||
callbacks.add_tags(all_tags)
|
||||
if metadata := config.get("metadata"):
|
||||
callbacks.add_metadata(metadata)
|
||||
manager = callbacks
|
||||
return callbacks
|
||||
else:
|
||||
# otherwise create a new manager
|
||||
manager = AsyncCallbackManager.configure(
|
||||
return AsyncCallbackManager.configure(
|
||||
inheritable_callbacks=config.get("callbacks"),
|
||||
inheritable_tags=all_tags,
|
||||
inheritable_metadata=config.get("metadata"),
|
||||
langsmith_inheritable_metadata=_get_tracing_metadata_defaults(config),
|
||||
)
|
||||
return manager
|
||||
|
||||
|
||||
def _is_not_empty(value: Any) -> bool:
|
||||
@@ -312,54 +308,22 @@ def ensure_config(*configs: RunnableConfig | None) -> RunnableConfig:
|
||||
for k, v in config.items():
|
||||
if _is_not_empty(v) and k not in CONFIG_KEYS:
|
||||
empty[CONF][k] = v
|
||||
|
||||
configurable = empty.get("configurable")
|
||||
metadata = empty.get("metadata")
|
||||
if configurable and metadata is not None:
|
||||
for key in _PROPAGATE_TO_METADATA:
|
||||
if key in metadata:
|
||||
continue
|
||||
value = configurable.get(key)
|
||||
if value:
|
||||
metadata[key] = value
|
||||
_empty_metadata = empty["metadata"]
|
||||
for key, value in empty[CONF].items():
|
||||
if _exclude_as_metadata(key, value, _empty_metadata):
|
||||
continue
|
||||
_empty_metadata[key] = value
|
||||
return empty
|
||||
|
||||
|
||||
_OMIT = ("key", "token", "secret", "password", "auth")
|
||||
|
||||
|
||||
def _exclude_as_metadata(key: str, value: Any) -> bool:
|
||||
def _exclude_as_metadata(key: str, value: Any, metadata: Mapping[str, Any]) -> bool:
|
||||
key_lower = key.casefold()
|
||||
return (
|
||||
key.startswith("__")
|
||||
or not isinstance(value, (str, int, float, bool))
|
||||
or key in metadata
|
||||
or any(substr in key_lower for substr in _OMIT)
|
||||
)
|
||||
|
||||
|
||||
def _get_tracing_metadata_defaults(
|
||||
config: RunnableConfig,
|
||||
) -> dict[str, Any] | None:
|
||||
"""Get tracer-only metadata defaults from configurable values."""
|
||||
configurable = config.get("configurable")
|
||||
if not configurable:
|
||||
return None
|
||||
metadata: dict[str, Any] = {}
|
||||
for key, value in configurable.items():
|
||||
if _exclude_as_metadata(key, value):
|
||||
continue
|
||||
metadata[key] = value
|
||||
return metadata or None
|
||||
|
||||
|
||||
_PROPAGATE_TO_METADATA = frozenset(
|
||||
(
|
||||
"thread_id",
|
||||
"checkpoint_id",
|
||||
"checkpoint_ns",
|
||||
"task_id",
|
||||
"run_id",
|
||||
"assistant_id",
|
||||
"graph_id",
|
||||
)
|
||||
)
|
||||
|
||||
@@ -0,0 +1,218 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import asyncio
|
||||
import os
|
||||
import queue
|
||||
import threading
|
||||
from collections.abc import Callable
|
||||
from contextlib import AbstractAsyncContextManager, AbstractContextManager
|
||||
from dataclasses import dataclass
|
||||
from types import TracebackType
|
||||
from typing import Any
|
||||
|
||||
from langchain_core.runnables import RunnableConfig
|
||||
from langgraph.checkpoint.base import (
|
||||
ChannelVersions,
|
||||
Checkpoint,
|
||||
CheckpointMetadata,
|
||||
)
|
||||
|
||||
QUEUE_PUT_TIMEOUT = 0.05
|
||||
CHECKPOINT_BACKLOG_ENV_VAR = "LANGGRAPH_CHECKPOINT_BACKLOG"
|
||||
DEFAULT_CHECKPOINT_BACKLOG = 10
|
||||
|
||||
|
||||
def _resolve_checkpoint_backlog() -> int:
|
||||
if raw := os.getenv(CHECKPOINT_BACKLOG_ENV_VAR):
|
||||
try:
|
||||
backlog = int(raw)
|
||||
except ValueError:
|
||||
return DEFAULT_CHECKPOINT_BACKLOG
|
||||
if backlog > 0:
|
||||
return backlog
|
||||
return DEFAULT_CHECKPOINT_BACKLOG
|
||||
|
||||
|
||||
CHECKPOINT_BACKLOG = _resolve_checkpoint_backlog()
|
||||
|
||||
|
||||
@dataclass(frozen=True, slots=True)
|
||||
class CheckpointRequest:
|
||||
config: RunnableConfig
|
||||
checkpoint: Checkpoint
|
||||
metadata: CheckpointMetadata
|
||||
new_versions: ChannelVersions
|
||||
|
||||
|
||||
def _raise(error: BaseException) -> None:
|
||||
raise error
|
||||
|
||||
|
||||
class SyncCheckpointWriter(AbstractContextManager):
|
||||
__slots__ = ("put", "queue", "error", "closed", "thread")
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
put: Callable[
|
||||
[RunnableConfig, Checkpoint, CheckpointMetadata, ChannelVersions], Any
|
||||
],
|
||||
*,
|
||||
max_pending: int | None = None,
|
||||
) -> None:
|
||||
self.put = put
|
||||
max_pending = CHECKPOINT_BACKLOG if max_pending is None else max_pending
|
||||
self.queue: queue.Queue[CheckpointRequest | None] = queue.Queue(max_pending)
|
||||
self.error: BaseException | None = None
|
||||
self.closed = False
|
||||
self.thread = threading.Thread(
|
||||
target=self._run,
|
||||
name="langgraph-checkpoint-writer",
|
||||
daemon=True,
|
||||
)
|
||||
|
||||
def __enter__(self) -> SyncCheckpointWriter:
|
||||
self.thread.start()
|
||||
return self
|
||||
|
||||
def submit(self, request: CheckpointRequest) -> None:
|
||||
self._ensure_open()
|
||||
while True:
|
||||
self._raise_if_broken()
|
||||
try:
|
||||
self.queue.put(request, timeout=QUEUE_PUT_TIMEOUT)
|
||||
except queue.Full:
|
||||
continue
|
||||
else:
|
||||
self._raise_if_broken()
|
||||
return
|
||||
|
||||
def _run(self) -> None:
|
||||
while True:
|
||||
item = self.queue.get()
|
||||
if item is None:
|
||||
return
|
||||
try:
|
||||
self.put(
|
||||
item.config,
|
||||
item.checkpoint,
|
||||
item.metadata,
|
||||
item.new_versions,
|
||||
)
|
||||
except BaseException as exc:
|
||||
self.error = exc
|
||||
return
|
||||
|
||||
def _ensure_open(self) -> None:
|
||||
if self.closed:
|
||||
raise RuntimeError("Checkpoint writer is closed")
|
||||
|
||||
def _raise_if_broken(self) -> None:
|
||||
if self.error is not None:
|
||||
_raise(self.error)
|
||||
|
||||
def __exit__(
|
||||
self,
|
||||
exc_type: type[BaseException] | None,
|
||||
exc_value: BaseException | None,
|
||||
traceback: TracebackType | None,
|
||||
) -> bool | None:
|
||||
self.closed = True
|
||||
while self.thread.is_alive():
|
||||
if self.error is not None:
|
||||
break
|
||||
try:
|
||||
self.queue.put(None, timeout=QUEUE_PUT_TIMEOUT)
|
||||
except queue.Full:
|
||||
continue
|
||||
else:
|
||||
break
|
||||
self.thread.join()
|
||||
if exc_type is None and self.error is not None:
|
||||
_raise(self.error)
|
||||
return None
|
||||
|
||||
|
||||
class AsyncCheckpointWriter(AbstractAsyncContextManager):
|
||||
__slots__ = ("put", "queue", "error", "closed", "task")
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
put: Callable[
|
||||
[RunnableConfig, Checkpoint, CheckpointMetadata, ChannelVersions], Any
|
||||
],
|
||||
*,
|
||||
max_pending: int | None = None,
|
||||
) -> None:
|
||||
self.put = put
|
||||
max_pending = CHECKPOINT_BACKLOG if max_pending is None else max_pending
|
||||
self.queue: asyncio.Queue[CheckpointRequest | None] = asyncio.Queue(max_pending)
|
||||
self.error: BaseException | None = None
|
||||
self.closed = False
|
||||
self.task: asyncio.Task[None] | None = None
|
||||
|
||||
async def __aenter__(self) -> AsyncCheckpointWriter:
|
||||
self.task = asyncio.create_task(self._run(), name="langgraph-checkpoint-writer")
|
||||
return self
|
||||
|
||||
async def submit(self, request: CheckpointRequest) -> None:
|
||||
self._ensure_open()
|
||||
while True:
|
||||
self._raise_if_broken()
|
||||
try:
|
||||
await asyncio.wait_for(
|
||||
self.queue.put(request),
|
||||
timeout=QUEUE_PUT_TIMEOUT,
|
||||
)
|
||||
except asyncio.TimeoutError:
|
||||
continue
|
||||
else:
|
||||
self._raise_if_broken()
|
||||
return
|
||||
|
||||
async def _run(self) -> None:
|
||||
while True:
|
||||
item = await self.queue.get()
|
||||
if item is None:
|
||||
return
|
||||
try:
|
||||
await self.put(
|
||||
item.config,
|
||||
item.checkpoint,
|
||||
item.metadata,
|
||||
item.new_versions,
|
||||
)
|
||||
except BaseException as exc:
|
||||
self.error = exc
|
||||
return
|
||||
|
||||
def _ensure_open(self) -> None:
|
||||
if self.closed:
|
||||
raise RuntimeError("Checkpoint writer is closed")
|
||||
|
||||
def _raise_if_broken(self) -> None:
|
||||
if self.error is not None:
|
||||
_raise(self.error)
|
||||
|
||||
async def __aexit__(
|
||||
self,
|
||||
exc_type: type[BaseException] | None,
|
||||
exc_value: BaseException | None,
|
||||
traceback: TracebackType | None,
|
||||
) -> None:
|
||||
self.closed = True
|
||||
while self.task is not None and not self.task.done():
|
||||
if self.error is not None:
|
||||
break
|
||||
try:
|
||||
await asyncio.wait_for(
|
||||
self.queue.put(None),
|
||||
timeout=QUEUE_PUT_TIMEOUT,
|
||||
)
|
||||
except asyncio.TimeoutError:
|
||||
continue
|
||||
else:
|
||||
break
|
||||
if self.task is not None:
|
||||
await self.task
|
||||
if exc_type is None and self.error is not None:
|
||||
_raise(self.error)
|
||||
@@ -2,7 +2,6 @@ from __future__ import annotations
|
||||
|
||||
import asyncio
|
||||
import binascii
|
||||
import concurrent.futures
|
||||
from collections import defaultdict, deque
|
||||
from collections.abc import Callable, Iterator, Mapping, Sequence
|
||||
from contextlib import (
|
||||
@@ -27,7 +26,6 @@ from langgraph.cache.base import BaseCache
|
||||
from langgraph.checkpoint.base import (
|
||||
WRITES_IDX_MAP,
|
||||
BaseCheckpointSaver,
|
||||
ChannelVersions,
|
||||
Checkpoint,
|
||||
CheckpointMetadata,
|
||||
CheckpointTuple,
|
||||
@@ -97,6 +95,11 @@ from langgraph.pregel._checkpoint import (
|
||||
create_checkpoint,
|
||||
empty_checkpoint,
|
||||
)
|
||||
from langgraph.pregel._checkpoint_writer import (
|
||||
AsyncCheckpointWriter,
|
||||
CheckpointRequest,
|
||||
SyncCheckpointWriter,
|
||||
)
|
||||
from langgraph.pregel._executor import (
|
||||
AsyncBackgroundExecutor,
|
||||
BackgroundExecutor,
|
||||
@@ -172,19 +175,6 @@ class PregelLoop:
|
||||
checkpointer_get_next_version: GetNextVersion
|
||||
checkpointer_put_writes: Callable[[RunnableConfig, WritesT, str], Any] | None
|
||||
checkpointer_put_writes_accepts_task_path: bool
|
||||
_checkpointer_put_after_previous: (
|
||||
Callable[
|
||||
[
|
||||
concurrent.futures.Future | None,
|
||||
RunnableConfig,
|
||||
Checkpoint,
|
||||
str,
|
||||
ChannelVersions,
|
||||
],
|
||||
Any,
|
||||
]
|
||||
| None
|
||||
)
|
||||
_migrate_checkpoint: Callable[[Checkpoint], None] | None
|
||||
submit: Submit
|
||||
channels: Mapping[str, BaseChannel]
|
||||
@@ -536,7 +526,7 @@ class PregelLoop:
|
||||
)
|
||||
|
||||
# produce debug output
|
||||
if self._checkpointer_put_after_previous is not None:
|
||||
if self.checkpointer is not None:
|
||||
self._emit(
|
||||
"checkpoints",
|
||||
map_debug_checkpoint,
|
||||
@@ -582,7 +572,7 @@ class PregelLoop:
|
||||
|
||||
return True
|
||||
|
||||
def after_tick(self) -> None:
|
||||
def _after_tick(self) -> CheckpointRequest | None:
|
||||
# finish superstep
|
||||
writes = [w for t in self.tasks.values() for w in t.writes]
|
||||
# all tasks have finished
|
||||
@@ -607,15 +597,7 @@ class PregelLoop:
|
||||
# only replay (re-execute) done tasks on the first tick
|
||||
self.is_replaying = False
|
||||
# save checkpoint
|
||||
self._put_checkpoint({"source": "loop"})
|
||||
# after execution, check if we should interrupt
|
||||
if self.interrupt_after and should_interrupt(
|
||||
self.checkpoint, self.interrupt_after, self.tasks.values()
|
||||
):
|
||||
self.status = "interrupt_after"
|
||||
raise GraphInterrupt()
|
||||
# unset resuming flag
|
||||
self.config[CONF].pop(CONFIG_KEY_RESUMING, None)
|
||||
return self._prepare_checkpoint({"source": "loop"})
|
||||
|
||||
def match_cached_writes(self) -> Sequence[PregelExecutableTask]:
|
||||
raise NotImplementedError
|
||||
@@ -664,7 +646,7 @@ class PregelLoop:
|
||||
|
||||
def _first(
|
||||
self, *, input_keys: str | Sequence[str], updated_channels: set[str] | None
|
||||
) -> set[str] | None:
|
||||
) -> tuple[set[str] | None, CheckpointRequest | None]:
|
||||
# Resuming from a previous checkpoint requires two things:
|
||||
# 1. A prior checkpoint exists (channel_versions is non-empty)
|
||||
# 2. The input signals continuation (not a fresh run with new input)
|
||||
@@ -692,7 +674,7 @@ class PregelLoop:
|
||||
# writes so that interrupt() calls re-fire instead of returning
|
||||
# stale values. But if we're actively resuming, keep them —
|
||||
# multi-interrupt scenarios need previously resolved values preserved.
|
||||
is_time_traveling = self.is_replaying and (
|
||||
if self.is_replaying and (
|
||||
# Time-travel to a subgraph checkpoint: the parent sets
|
||||
# RESUMING=True (it can't distinguish time-travel from resume),
|
||||
# so we check if this subgraph's own ns is in checkpoint_map.
|
||||
@@ -710,8 +692,7 @@ class PregelLoop:
|
||||
# (subgraph input is a Send arg, not a Command)
|
||||
or configurable.get(CONFIG_KEY_RESUMING, False)
|
||||
)
|
||||
)
|
||||
if is_time_traveling:
|
||||
):
|
||||
self.checkpoint_pending_writes = [
|
||||
w for w in self.checkpoint_pending_writes if w[1] != RESUME
|
||||
]
|
||||
@@ -759,6 +740,7 @@ class PregelLoop:
|
||||
)
|
||||
if updated_channels is not None:
|
||||
updated_channels.update(null_updated_channels)
|
||||
checkpoint_request = None
|
||||
# proceed past previous checkpoint
|
||||
if is_resuming:
|
||||
self.checkpoint["versions_seen"].setdefault(INTERRUPT, {})
|
||||
@@ -766,26 +748,6 @@ class PregelLoop:
|
||||
if k in self.checkpoint["channel_versions"]:
|
||||
version = self.checkpoint["channel_versions"][k]
|
||||
self.checkpoint["versions_seen"][INTERRUPT][k] = version
|
||||
# When time-traveling (replaying from a specific checkpoint),
|
||||
# save a fork checkpoint so the replayed execution creates a
|
||||
# new branch. Without this, if the execution hits an interrupt
|
||||
# before after_tick() runs, no new checkpoint is created —
|
||||
# the parent's latest checkpoint remains the old one and
|
||||
# subsequent resumes load the wrong state.
|
||||
# Skip for update_state forks (source=update/fork) since they
|
||||
# already have their own fork checkpoint.
|
||||
if is_time_traveling and self.checkpoint_metadata.get("source") not in (
|
||||
"update",
|
||||
"fork",
|
||||
):
|
||||
# Clear old INTERRUPT writes from the loaded checkpoint.
|
||||
# The fork will have a new checkpoint_id which changes
|
||||
# task IDs — stale interrupt writes would accumulate and
|
||||
# confuse the multiple-interrupt check in future resumes.
|
||||
self.checkpoint_pending_writes = [
|
||||
w for w in self.checkpoint_pending_writes if w[1] != INTERRUPT
|
||||
]
|
||||
self._put_checkpoint({"source": "fork"})
|
||||
# produce values output
|
||||
self._emit(
|
||||
"values", map_output_values, self.output_keys, True, self.channels
|
||||
@@ -821,25 +783,21 @@ class PregelLoop:
|
||||
)
|
||||
# save input checkpoint
|
||||
self.updated_channels = updated_channels
|
||||
self._put_checkpoint({"source": "input"})
|
||||
checkpoint_request = self._prepare_checkpoint({"source": "input"})
|
||||
elif CONFIG_KEY_RESUMING not in configurable:
|
||||
raise EmptyInputError(f"Received no input for {input_keys}")
|
||||
# Propagate resuming and replaying flags to subgraphs.
|
||||
if not self.is_nested:
|
||||
# Pass the resolved before-bound checkpoint ID so subgraphs can
|
||||
# find their corresponding checkpoint without re-fetching the
|
||||
# parent. For forks (source=update/fork), use the fork's parent
|
||||
# parent. For forks (source=update), use the fork's parent
|
||||
# checkpoint ID since the fork was created after the subgraph's
|
||||
# checkpoints from the original execution.
|
||||
replay_state: ReplayState | None = None
|
||||
if self.is_replaying:
|
||||
replay_checkpoint_id = self.checkpoint["id"]
|
||||
if (
|
||||
self.checkpoint_metadata.get("source")
|
||||
in (
|
||||
"update",
|
||||
"fork",
|
||||
)
|
||||
self.checkpoint_metadata.get("source") == "update"
|
||||
and self.prev_checkpoint_config
|
||||
):
|
||||
replay_checkpoint_id = self.prev_checkpoint_config[CONF].get(
|
||||
@@ -857,9 +815,11 @@ class PregelLoop:
|
||||
self.status = "pending"
|
||||
if is_resuming:
|
||||
self._push_graph_lifecycle_event("resume")
|
||||
return updated_channels
|
||||
return updated_channels, checkpoint_request
|
||||
|
||||
def _put_checkpoint(self, metadata: CheckpointMetadata) -> None:
|
||||
def _prepare_checkpoint(
|
||||
self, metadata: CheckpointMetadata
|
||||
) -> CheckpointRequest | None:
|
||||
# assign step and parents
|
||||
exiting = metadata is self.checkpoint_metadata
|
||||
if exiting and self.checkpoint["id"] == self.checkpoint_id_saved:
|
||||
@@ -869,8 +829,7 @@ class PregelLoop:
|
||||
metadata["step"] = self.step
|
||||
metadata["parents"] = self.config[CONF].get(CONFIG_KEY_CHECKPOINT_MAP, {})
|
||||
self.checkpoint_metadata = metadata
|
||||
# do checkpoint?
|
||||
do_checkpoint = self._checkpointer_put_after_previous is not None and (
|
||||
do_checkpoint = self.checkpointer is not None and (
|
||||
exiting or self.durability != "exit"
|
||||
)
|
||||
# create new checkpoint
|
||||
@@ -892,9 +851,8 @@ class PregelLoop:
|
||||
for value in self.checkpoint["channel_values"][TASKS]
|
||||
]
|
||||
self.checkpoint["channel_values"][TASKS] = sanitized_tasks
|
||||
# bail if no checkpointer
|
||||
|
||||
if do_checkpoint and self._checkpointer_put_after_previous is not None:
|
||||
request = None
|
||||
if do_checkpoint:
|
||||
self.prev_checkpoint_config = (
|
||||
self.checkpoint_config
|
||||
if CONFIG_KEY_CHECKPOINT_ID in self.checkpoint_config[CONF]
|
||||
@@ -916,17 +874,11 @@ class PregelLoop:
|
||||
self.checkpoint_previous_versions, channel_versions
|
||||
)
|
||||
self.checkpoint_previous_versions = channel_versions
|
||||
|
||||
# save it, without blocking
|
||||
# if there's a previous checkpoint save in progress, wait for it
|
||||
# ensuring checkpointers receive checkpoints in order
|
||||
self._put_checkpoint_fut = self.submit(
|
||||
self._checkpointer_put_after_previous,
|
||||
getattr(self, "_put_checkpoint_fut", None),
|
||||
self.checkpoint_config,
|
||||
copy_checkpoint(self.checkpoint),
|
||||
self.checkpoint_metadata,
|
||||
new_versions,
|
||||
request = CheckpointRequest(
|
||||
config=self.checkpoint_config,
|
||||
checkpoint=copy_checkpoint(self.checkpoint),
|
||||
metadata=self.checkpoint_metadata,
|
||||
new_versions=new_versions,
|
||||
)
|
||||
self.checkpoint_config = {
|
||||
**self.checkpoint_config,
|
||||
@@ -938,24 +890,13 @@ class PregelLoop:
|
||||
if not exiting:
|
||||
# increment step
|
||||
self.step += 1
|
||||
return request
|
||||
|
||||
def _suppress_interrupt(
|
||||
def _finalize_suppress(
|
||||
self,
|
||||
exc_type: type[BaseException] | None,
|
||||
exc_value: BaseException | None,
|
||||
traceback: TracebackType | None,
|
||||
) -> bool | None:
|
||||
# persist current checkpoint and writes
|
||||
if self.durability == "exit" and (
|
||||
# if it's a top graph
|
||||
not self.is_nested
|
||||
# or a nested graph with error or interrupt
|
||||
or exc_value is not None
|
||||
# or a nested graph with checkpointer=True
|
||||
or all(NS_END not in part for part in self.checkpoint_ns)
|
||||
):
|
||||
self._put_checkpoint(self.checkpoint_metadata)
|
||||
self._put_pending_writes()
|
||||
# suppress interrupt
|
||||
if isinstance(exc_value, GraphInterrupt) and not self.is_nested:
|
||||
interrupt = exc_value
|
||||
@@ -1000,6 +941,7 @@ class PregelLoop:
|
||||
elif exc_type is None:
|
||||
# save final output
|
||||
self.output = read_channels(self.channels, self.output_keys)
|
||||
return None
|
||||
|
||||
def _emit(
|
||||
self,
|
||||
@@ -1147,26 +1089,57 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
|
||||
)
|
||||
else:
|
||||
self.checkpointer_get_next_version = increment
|
||||
self._checkpointer_put_after_previous = None # type: ignore[assignment]
|
||||
self.checkpointer_put_writes = None
|
||||
self.checkpointer_put_writes_accepts_task_path = False
|
||||
self._checkpoint_writer: SyncCheckpointWriter | None = None
|
||||
|
||||
def _checkpointer_put_after_previous(
|
||||
self,
|
||||
prev: concurrent.futures.Future | None,
|
||||
config: RunnableConfig,
|
||||
checkpoint: Checkpoint,
|
||||
metadata: CheckpointMetadata,
|
||||
new_versions: ChannelVersions,
|
||||
) -> RunnableConfig:
|
||||
try:
|
||||
if prev is not None:
|
||||
prev.result()
|
||||
finally:
|
||||
def _dispatch_checkpoint_request(self, request: CheckpointRequest) -> None:
|
||||
if self.durability == "async" and self._checkpoint_writer is not None:
|
||||
self._checkpoint_writer.submit(request)
|
||||
else:
|
||||
cast(BaseCheckpointSaver, self.checkpointer).put(
|
||||
config, checkpoint, metadata, new_versions
|
||||
request.config,
|
||||
request.checkpoint,
|
||||
request.metadata,
|
||||
request.new_versions,
|
||||
)
|
||||
|
||||
def _put_checkpoint(self, metadata: CheckpointMetadata) -> None:
|
||||
if request := self._prepare_checkpoint(metadata):
|
||||
self._dispatch_checkpoint_request(request)
|
||||
|
||||
def _suppress_interrupt(
|
||||
self,
|
||||
exc_type: type[BaseException] | None,
|
||||
exc_value: BaseException | None,
|
||||
traceback: TracebackType | None,
|
||||
) -> bool | None:
|
||||
# persist current checkpoint and writes
|
||||
if self.durability == "exit" and (
|
||||
# if it's a top graph
|
||||
not self.is_nested
|
||||
# or a nested graph with error or interrupt
|
||||
or exc_value is not None
|
||||
# or a nested graph with checkpointer=True
|
||||
or all(NS_END not in part for part in self.checkpoint_ns)
|
||||
):
|
||||
self._put_checkpoint(self.checkpoint_metadata)
|
||||
self._put_pending_writes()
|
||||
return self._finalize_suppress(exc_type, exc_value)
|
||||
|
||||
def after_tick(self) -> None:
|
||||
# compute tick state and save checkpoint
|
||||
if request := self._after_tick():
|
||||
self._dispatch_checkpoint_request(request)
|
||||
# after execution, check if we should interrupt
|
||||
if self.interrupt_after and should_interrupt(
|
||||
self.checkpoint, self.interrupt_after, self.tasks.values()
|
||||
):
|
||||
self.status = "interrupt_after"
|
||||
raise GraphInterrupt()
|
||||
# unset resuming flag
|
||||
self.config[CONF].pop(CONFIG_KEY_RESUMING, None)
|
||||
|
||||
def match_cached_writes(self) -> Sequence[PregelExecutableTask]:
|
||||
if self.cache is None:
|
||||
return ()
|
||||
@@ -1262,6 +1235,10 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
|
||||
else []
|
||||
)
|
||||
self.submit = self.stack.enter_context(BackgroundExecutor(self.config))
|
||||
if self.checkpointer is not None and self.durability == "async":
|
||||
self._checkpoint_writer = self.stack.enter_context(
|
||||
SyncCheckpointWriter(self.checkpointer.put)
|
||||
)
|
||||
self.channels, self.managed = channels_from_checkpoint(
|
||||
self.specs, self.checkpoint
|
||||
)
|
||||
@@ -1270,12 +1247,14 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
|
||||
self.step = self.checkpoint_metadata["step"] + 1
|
||||
self.stop = self.step + self.config["recursion_limit"] + 1
|
||||
self.checkpoint_previous_versions = self.checkpoint["channel_versions"].copy()
|
||||
self.updated_channels = self._first(
|
||||
self.updated_channels, checkpoint_request = self._first(
|
||||
input_keys=self.input_keys,
|
||||
updated_channels=set(self.checkpoint.get("updated_channels")) # type: ignore[arg-type]
|
||||
if self.checkpoint.get("updated_channels")
|
||||
else None,
|
||||
)
|
||||
if checkpoint_request is not None:
|
||||
self._dispatch_checkpoint_request(checkpoint_request)
|
||||
|
||||
return self
|
||||
|
||||
@@ -1346,26 +1325,34 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
|
||||
)
|
||||
else:
|
||||
self.checkpointer_get_next_version = increment
|
||||
self._checkpointer_put_after_previous = None # type: ignore[assignment]
|
||||
self.checkpointer_put_writes = None
|
||||
self.checkpointer_put_writes_accepts_task_path = False
|
||||
self._checkpoint_writer: AsyncCheckpointWriter | None = None
|
||||
|
||||
async def _checkpointer_put_after_previous(
|
||||
self,
|
||||
prev: asyncio.Task | None,
|
||||
config: RunnableConfig,
|
||||
checkpoint: Checkpoint,
|
||||
metadata: CheckpointMetadata,
|
||||
new_versions: ChannelVersions,
|
||||
) -> RunnableConfig:
|
||||
try:
|
||||
if prev is not None:
|
||||
await prev
|
||||
finally:
|
||||
async def _dispatch_checkpoint_request(self, request: CheckpointRequest) -> None:
|
||||
if self.durability == "async" and self._checkpoint_writer is not None:
|
||||
await self._checkpoint_writer.submit(request)
|
||||
else:
|
||||
await cast(BaseCheckpointSaver, self.checkpointer).aput(
|
||||
config, checkpoint, metadata, new_versions
|
||||
request.config,
|
||||
request.checkpoint,
|
||||
request.metadata,
|
||||
request.new_versions,
|
||||
)
|
||||
|
||||
async def aafter_tick(self) -> None:
|
||||
# compute tick state and save checkpoint
|
||||
if request := self._after_tick():
|
||||
await self._dispatch_checkpoint_request(request)
|
||||
# after execution, check if we should interrupt
|
||||
if self.interrupt_after and should_interrupt(
|
||||
self.checkpoint, self.interrupt_after, self.tasks.values()
|
||||
):
|
||||
self.status = "interrupt_after"
|
||||
raise GraphInterrupt()
|
||||
# unset resuming flag
|
||||
self.config[CONF].pop(CONFIG_KEY_RESUMING, None)
|
||||
|
||||
async def amatch_cached_writes(self) -> Sequence[PregelExecutableTask]:
|
||||
if self.cache is None:
|
||||
return []
|
||||
@@ -1410,6 +1397,32 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
|
||||
},
|
||||
)
|
||||
|
||||
async def _asuppress_interrupt(
|
||||
self,
|
||||
exc_type: type[BaseException] | None,
|
||||
exc_value: BaseException | None,
|
||||
traceback: TracebackType | None,
|
||||
) -> bool | None:
|
||||
"""Async counterpart of SyncPregelLoop._suppress_interrupt.
|
||||
|
||||
Uses async checkpoint dispatch so we don't block the event loop
|
||||
(the sync version was previously used here via stack.push, which
|
||||
would call the blocking checkpointer.put instead of aput).
|
||||
"""
|
||||
# persist current checkpoint and writes
|
||||
if self.durability == "exit" and (
|
||||
# if it's a top graph
|
||||
not self.is_nested
|
||||
# or a nested graph with error or interrupt
|
||||
or exc_value is not None
|
||||
# or a nested graph with checkpointer=True
|
||||
or all(NS_END not in part for part in self.checkpoint_ns)
|
||||
):
|
||||
if request := self._prepare_checkpoint(self.checkpoint_metadata):
|
||||
await self._dispatch_checkpoint_request(request)
|
||||
self._put_pending_writes()
|
||||
return self._finalize_suppress(exc_type, exc_value)
|
||||
|
||||
# context manager
|
||||
|
||||
async def __aenter__(self) -> Self:
|
||||
@@ -1466,20 +1479,26 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
|
||||
self.submit = await self.stack.enter_async_context(
|
||||
AsyncBackgroundExecutor(self.config)
|
||||
)
|
||||
if self.checkpointer is not None and self.durability == "async":
|
||||
self._checkpoint_writer = await self.stack.enter_async_context(
|
||||
AsyncCheckpointWriter(self.checkpointer.aput)
|
||||
)
|
||||
self.channels, self.managed = channels_from_checkpoint(
|
||||
self.specs, self.checkpoint
|
||||
)
|
||||
self.stack.push(self._suppress_interrupt)
|
||||
self.stack.push_async_exit(self._asuppress_interrupt)
|
||||
self.status = "input"
|
||||
self.step = self.checkpoint_metadata["step"] + 1
|
||||
self.stop = self.step + self.config["recursion_limit"] + 1
|
||||
self.checkpoint_previous_versions = self.checkpoint["channel_versions"].copy()
|
||||
self.updated_channels = self._first(
|
||||
self.updated_channels, checkpoint_request = self._first(
|
||||
input_keys=self.input_keys,
|
||||
updated_channels=set(self.checkpoint.get("updated_channels")) # type: ignore[arg-type]
|
||||
if self.checkpoint.get("updated_channels")
|
||||
else None,
|
||||
)
|
||||
if checkpoint_request is not None:
|
||||
await self._dispatch_checkpoint_request(checkpoint_request)
|
||||
|
||||
return self
|
||||
|
||||
|
||||
@@ -14,7 +14,7 @@ from langchain_core.messages import BaseMessage
|
||||
from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, LLMResult
|
||||
from pydantic import BaseModel
|
||||
|
||||
from langgraph._internal._constants import NS_END, NS_SEP
|
||||
from langgraph._internal._constants import NS_SEP
|
||||
from langgraph.constants import TAG_HIDDEN, TAG_NOSTREAM
|
||||
from langgraph.pregel.protocol import StreamChunk
|
||||
from langgraph.types import Command
|
||||
@@ -132,23 +132,15 @@ class StreamMessagesHandler(BaseCallbackHandler, _StreamingCallbackHandler):
|
||||
**kwargs: Any,
|
||||
) -> Any:
|
||||
if metadata and (not tags or (TAG_NOSTREAM not in tags)):
|
||||
task_checkpoint_ns = cast(str, metadata["langgraph_checkpoint_ns"])
|
||||
checkpoint_ns = (
|
||||
f"{task_checkpoint_ns.rsplit(NS_END, 1)[0]}{NS_END}"
|
||||
if NS_END in task_checkpoint_ns
|
||||
else task_checkpoint_ns
|
||||
)
|
||||
ns = tuple(task_checkpoint_ns.split(NS_SEP))[:-1]
|
||||
ns = tuple(cast(str, metadata["langgraph_checkpoint_ns"]).split(NS_SEP))[
|
||||
:-1
|
||||
]
|
||||
if not self.subgraphs and len(ns) > 0 and ns != self.parent_ns:
|
||||
return
|
||||
stream_metadata = dict(metadata)
|
||||
stream_metadata["langgraph_checkpoint_ns"] = checkpoint_ns
|
||||
# Preserve backwards-compatible streamed checkpoint metadata shape.
|
||||
stream_metadata["checkpoint_ns"] = checkpoint_ns
|
||||
if tags:
|
||||
if filtered_tags := [t for t in tags if not t.startswith("seq:step")]:
|
||||
stream_metadata["tags"] = filtered_tags
|
||||
self.metadata[run_id] = (ns, stream_metadata)
|
||||
metadata["tags"] = filtered_tags
|
||||
self.metadata[run_id] = (ns, metadata)
|
||||
|
||||
def on_llm_new_token(
|
||||
self,
|
||||
|
||||
@@ -2775,9 +2775,6 @@ class Pregel(
|
||||
)
|
||||
loop.after_tick()
|
||||
emit_graph_lifecycle_events(loop)
|
||||
# wait for checkpoint
|
||||
if durability_ == "sync":
|
||||
loop._put_checkpoint_fut.result()
|
||||
emit_graph_lifecycle_events(loop)
|
||||
# emit output
|
||||
yield from _output(
|
||||
@@ -3196,11 +3193,8 @@ class Pregel(
|
||||
_state_mapper,
|
||||
):
|
||||
yield o
|
||||
loop.after_tick()
|
||||
await loop.aafter_tick()
|
||||
await aemit_graph_lifecycle_events(loop)
|
||||
# wait for checkpoint
|
||||
if durability_ == "sync":
|
||||
await cast(asyncio.Future, loop._put_checkpoint_fut)
|
||||
finally:
|
||||
# ensure waiter doesn't remain pending on cancel/shutdown
|
||||
if _cleanup_waiter is not None:
|
||||
|
||||
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
|
||||
|
||||
[project]
|
||||
name = "langgraph"
|
||||
version = "1.1.7"
|
||||
version = "1.1.7a1"
|
||||
description = "Building stateful, multi-actor applications with LLMs"
|
||||
authors = []
|
||||
requires-python = ">=3.10"
|
||||
@@ -24,7 +24,7 @@ classifiers = [
|
||||
'Programming Language :: Python :: 3.13',
|
||||
]
|
||||
dependencies = [
|
||||
"langchain-core>=1.3.0,<2",
|
||||
"langchain-core>=0.1",
|
||||
"langgraph-checkpoint>=2.1.0,<5.0.0",
|
||||
"langgraph-sdk>=0.3.0,<0.4.0",
|
||||
"langgraph-prebuilt>=1.0.9,<1.1.0",
|
||||
|
||||
@@ -1396,6 +1396,7 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
|
||||
"langgraph_path": (PULL, "agent"),
|
||||
"langgraph_checkpoint_ns": AnyStr("agent:"),
|
||||
"checkpoint_ns": AnyStr("agent:"),
|
||||
"_type": "generic-fake-chat-model",
|
||||
"ls_provider": "fakechatmodel",
|
||||
"ls_model_type": "chat",
|
||||
"ls_integration": "langchain_chat_model",
|
||||
@@ -1458,6 +1459,7 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
|
||||
"langgraph_path": (PULL, "agent"),
|
||||
"langgraph_checkpoint_ns": AnyStr("agent:"),
|
||||
"checkpoint_ns": AnyStr("agent:"),
|
||||
"_type": "generic-fake-chat-model",
|
||||
"ls_provider": "fakechatmodel",
|
||||
"ls_model_type": "chat",
|
||||
"ls_integration": "langchain_chat_model",
|
||||
@@ -1510,6 +1512,7 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
|
||||
"langgraph_path": (PULL, "agent"),
|
||||
"langgraph_checkpoint_ns": AnyStr("agent:"),
|
||||
"checkpoint_ns": AnyStr("agent:"),
|
||||
"_type": "generic-fake-chat-model",
|
||||
"ls_provider": "fakechatmodel",
|
||||
"ls_model_type": "chat",
|
||||
"ls_integration": "langchain_chat_model",
|
||||
@@ -6881,6 +6884,7 @@ def test_weather_subgraph(
|
||||
"langgraph_path": ("__pregel_pull", "router_node"),
|
||||
"langgraph_checkpoint_ns": AnyStr("router_node:"),
|
||||
"checkpoint_ns": AnyStr("router_node:"),
|
||||
"_type": "fake-messages-list-chat-model",
|
||||
"ls_provider": "fakemessageslistchatmodel",
|
||||
"ls_model_type": "chat",
|
||||
"ls_integration": "langchain_chat_model",
|
||||
@@ -6908,6 +6912,7 @@ def test_weather_subgraph(
|
||||
"langgraph_path": ("__pregel_pull", "model_node"),
|
||||
"langgraph_checkpoint_ns": AnyStr("weather_graph:"),
|
||||
"checkpoint_ns": AnyStr("weather_graph:"),
|
||||
"_type": "fake-messages-list-chat-model",
|
||||
"ls_provider": "fakemessageslistchatmodel",
|
||||
"ls_model_type": "chat",
|
||||
"ls_integration": "langchain_chat_model",
|
||||
@@ -6944,6 +6949,7 @@ def test_weather_subgraph(
|
||||
"langgraph_path": ("__pregel_pull", "router_node"),
|
||||
"langgraph_checkpoint_ns": AnyStr("router_node:"),
|
||||
"checkpoint_ns": AnyStr("router_node:"),
|
||||
"_type": "fake-messages-list-chat-model",
|
||||
"ls_provider": "fakemessageslistchatmodel",
|
||||
"ls_model_type": "chat",
|
||||
"ls_integration": "langchain_chat_model",
|
||||
|
||||
@@ -1147,6 +1147,7 @@ async def test_prebuilt_tool_chat() -> None:
|
||||
"langgraph_path": (PULL, "agent"),
|
||||
"langgraph_checkpoint_ns": AnyStr("agent:"),
|
||||
"checkpoint_ns": AnyStr("agent:"),
|
||||
"_type": "generic-fake-chat-model",
|
||||
"ls_provider": "fakechatmodel",
|
||||
"ls_model_type": "chat",
|
||||
"ls_integration": "langchain_chat_model",
|
||||
@@ -1209,6 +1210,7 @@ async def test_prebuilt_tool_chat() -> None:
|
||||
"langgraph_path": (PULL, "agent"),
|
||||
"langgraph_checkpoint_ns": AnyStr("agent:"),
|
||||
"checkpoint_ns": AnyStr("agent:"),
|
||||
"_type": "generic-fake-chat-model",
|
||||
"ls_provider": "fakechatmodel",
|
||||
"ls_model_type": "chat",
|
||||
"ls_integration": "langchain_chat_model",
|
||||
@@ -1261,6 +1263,7 @@ async def test_prebuilt_tool_chat() -> None:
|
||||
"langgraph_path": (PULL, "agent"),
|
||||
"langgraph_checkpoint_ns": AnyStr("agent:"),
|
||||
"checkpoint_ns": AnyStr("agent:"),
|
||||
"_type": "generic-fake-chat-model",
|
||||
"ls_provider": "fakechatmodel",
|
||||
"ls_model_type": "chat",
|
||||
"ls_integration": "langchain_chat_model",
|
||||
@@ -3978,6 +3981,7 @@ async def test_weather_subgraph(
|
||||
"langgraph_path": ("__pregel_pull", "router_node"),
|
||||
"langgraph_checkpoint_ns": AnyStr("router_node:"),
|
||||
"checkpoint_ns": AnyStr("router_node:"),
|
||||
"_type": "fake-messages-list-chat-model",
|
||||
"ls_provider": "fakemessageslistchatmodel",
|
||||
"ls_model_type": "chat",
|
||||
"ls_integration": "langchain_chat_model",
|
||||
@@ -4005,6 +4009,7 @@ async def test_weather_subgraph(
|
||||
"langgraph_path": ("__pregel_pull", "model_node"),
|
||||
"langgraph_checkpoint_ns": AnyStr("weather_graph:"),
|
||||
"checkpoint_ns": AnyStr("weather_graph:"),
|
||||
"_type": "fake-messages-list-chat-model",
|
||||
"ls_provider": "fakemessageslistchatmodel",
|
||||
"ls_model_type": "chat",
|
||||
"ls_integration": "langchain_chat_model",
|
||||
@@ -4041,6 +4046,7 @@ async def test_weather_subgraph(
|
||||
"langgraph_path": ("__pregel_pull", "router_node"),
|
||||
"langgraph_checkpoint_ns": AnyStr("router_node:"),
|
||||
"checkpoint_ns": AnyStr("router_node:"),
|
||||
"_type": "fake-messages-list-chat-model",
|
||||
"ls_provider": "fakemessageslistchatmodel",
|
||||
"ls_model_type": "chat",
|
||||
"ls_integration": "langchain_chat_model",
|
||||
|
||||
@@ -54,6 +54,11 @@ from langgraph.pregel import (
|
||||
NodeBuilder,
|
||||
Pregel,
|
||||
)
|
||||
from langgraph.pregel._checkpoint_writer import (
|
||||
CHECKPOINT_BACKLOG_ENV_VAR,
|
||||
DEFAULT_CHECKPOINT_BACKLOG,
|
||||
_resolve_checkpoint_backlog,
|
||||
)
|
||||
from langgraph.pregel._loop import SyncPregelLoop
|
||||
from langgraph.pregel._runner import PregelRunner
|
||||
from langgraph.types import (
|
||||
@@ -615,11 +620,8 @@ def test_run_from_checkpoint_id_retains_previous_writes(
|
||||
)
|
||||
]
|
||||
|
||||
# +2: one fork checkpoint from time travel, one from the new execution
|
||||
assert len(new_history) == len(history) + 2
|
||||
# new_history[0] is the new execution result, new_history[1] is the fork
|
||||
assert new_history[1].metadata["source"] == "fork"
|
||||
for original, new in zip(history, new_history[2:]):
|
||||
assert len(new_history) == len(history) + 1
|
||||
for original, new in zip(history, new_history[1:]):
|
||||
assert original.values == new.values
|
||||
assert original.next == new.next
|
||||
assert original.metadata["step"] == new.metadata["step"]
|
||||
@@ -627,7 +629,7 @@ def test_run_from_checkpoint_id_retains_previous_writes(
|
||||
def _get_tasks(hist: list, start: int):
|
||||
return [h.tasks for h in hist[start:]]
|
||||
|
||||
assert _get_tasks(new_history, 2) == _get_tasks(history, 0)
|
||||
assert _get_tasks(new_history, 1) == _get_tasks(history, 0)
|
||||
|
||||
|
||||
def test_batch_two_processes_in_out() -> None:
|
||||
@@ -3729,6 +3731,7 @@ def test_repeat_condition(snapshot: SnapshotAssertion) -> None:
|
||||
"end": END,
|
||||
},
|
||||
)
|
||||
|
||||
workflow.add_conditional_edges(
|
||||
"Chart Generator",
|
||||
router,
|
||||
@@ -3752,6 +3755,90 @@ def test_repeat_condition(snapshot: SnapshotAssertion) -> None:
|
||||
assert app.get_graph().draw_mermaid(with_styles=False) == snapshot
|
||||
|
||||
|
||||
def test_sync_durability_applies_checkpoint_backpressure() -> None:
|
||||
first_put_started = threading.Event()
|
||||
release_first_put = threading.Event()
|
||||
put_calls = 0
|
||||
visited: list[int] = []
|
||||
result: dict[str, Any] = {}
|
||||
error: dict[str, BaseException] = {}
|
||||
|
||||
class SlowFirstPutCheckpointer(InMemorySaver):
|
||||
def put(
|
||||
self,
|
||||
config: RunnableConfig,
|
||||
checkpoint: Checkpoint,
|
||||
metadata: CheckpointMetadata,
|
||||
new_versions: Any,
|
||||
) -> RunnableConfig:
|
||||
nonlocal put_calls
|
||||
put_calls += 1
|
||||
if put_calls == 1:
|
||||
first_put_started.set()
|
||||
release_first_put.wait()
|
||||
return super().put(config, checkpoint, metadata, new_versions)
|
||||
|
||||
class State(TypedDict):
|
||||
counter: int
|
||||
|
||||
def increment(state: State) -> State:
|
||||
visited.append(state["counter"])
|
||||
return {"counter": state["counter"] + 1}
|
||||
|
||||
def should_continue(state: State) -> str:
|
||||
return "loop" if state["counter"] < 4 else "done"
|
||||
|
||||
builder = StateGraph(State)
|
||||
builder.add_node("increment", increment)
|
||||
builder.add_edge(START, "increment")
|
||||
builder.add_conditional_edges(
|
||||
"increment", should_continue, {"loop": "increment", "done": END}
|
||||
)
|
||||
|
||||
graph = builder.compile(checkpointer=SlowFirstPutCheckpointer())
|
||||
|
||||
def invoke() -> None:
|
||||
try:
|
||||
result["value"] = graph.invoke(
|
||||
{"counter": 0},
|
||||
{"configurable": {"thread_id": "1"}},
|
||||
durability="async",
|
||||
)
|
||||
except BaseException as exc:
|
||||
error["value"] = exc
|
||||
|
||||
thread = threading.Thread(target=invoke)
|
||||
thread.start()
|
||||
|
||||
assert first_put_started.wait(timeout=1)
|
||||
time.sleep(0.05)
|
||||
|
||||
assert thread.is_alive()
|
||||
assert len(visited) <= DEFAULT_CHECKPOINT_BACKLOG + 1
|
||||
|
||||
release_first_put.set()
|
||||
thread.join(timeout=1)
|
||||
|
||||
assert not thread.is_alive()
|
||||
assert "value" not in error
|
||||
assert result["value"] == {"counter": 4}
|
||||
|
||||
|
||||
def test_checkpoint_backlog_uses_env_override(monkeypatch: pytest.MonkeyPatch) -> None:
|
||||
monkeypatch.setenv(CHECKPOINT_BACKLOG_ENV_VAR, "7")
|
||||
assert _resolve_checkpoint_backlog() == 7
|
||||
|
||||
|
||||
def test_checkpoint_backlog_invalid_env_uses_default(
|
||||
monkeypatch: pytest.MonkeyPatch,
|
||||
) -> None:
|
||||
monkeypatch.setenv(CHECKPOINT_BACKLOG_ENV_VAR, "not-an-int")
|
||||
assert _resolve_checkpoint_backlog() == DEFAULT_CHECKPOINT_BACKLOG
|
||||
|
||||
monkeypatch.setenv(CHECKPOINT_BACKLOG_ENV_VAR, "0")
|
||||
assert _resolve_checkpoint_backlog() == DEFAULT_CHECKPOINT_BACKLOG
|
||||
|
||||
|
||||
def test_checkpoint_metadata(sync_checkpointer: BaseCheckpointSaver) -> None:
|
||||
"""This test verifies that a run's configurable fields are merged with the
|
||||
previous checkpoint config for each step in the run.
|
||||
@@ -6896,6 +6983,7 @@ def test_tags_stream_mode_messages() -> None:
|
||||
"langgraph_path": ("__pregel_pull", "call_model"),
|
||||
"langgraph_checkpoint_ns": AnyStr("call_model:"),
|
||||
"checkpoint_ns": AnyStr("call_model:"),
|
||||
"_type": "generic-fake-chat-model",
|
||||
"ls_provider": "genericfakechatmodel",
|
||||
"ls_model_type": "chat",
|
||||
"ls_integration": "langchain_chat_model",
|
||||
@@ -6905,60 +6993,6 @@ def test_tags_stream_mode_messages() -> None:
|
||||
]
|
||||
|
||||
|
||||
def test_configurable_propagates_to_stream_metadata() -> None:
|
||||
"""Regression: thread_id, run_id, assistant_id, graph_id,
|
||||
and langgraph_auth_user_id from configurable must appear
|
||||
in stream_mode='messages' metadata."""
|
||||
|
||||
def my_node(state):
|
||||
return {"messages": HumanMessage(content="hello")}
|
||||
|
||||
graph = (
|
||||
StateGraph(MessagesState)
|
||||
.add_node("my_node", my_node)
|
||||
.add_edge(START, "my_node")
|
||||
.compile()
|
||||
)
|
||||
|
||||
config = {
|
||||
"configurable": {
|
||||
"thread_id": "th-123",
|
||||
"checkpoint_id": "ckpt-1",
|
||||
"checkpoint_ns": "ns-1",
|
||||
"task_id": "task-1",
|
||||
"run_id": "run-456",
|
||||
"assistant_id": "asst-789",
|
||||
"graph_id": "graph-0",
|
||||
"model": "gpt-4o",
|
||||
"user_id": "uid-1",
|
||||
"cron_id": "cron-1",
|
||||
"langgraph_auth_user_id": "user-1",
|
||||
# these should NOT be propagated into metadata
|
||||
"some_api_key": "secret",
|
||||
"custom_setting": {"nested": True},
|
||||
},
|
||||
}
|
||||
results = list(graph.stream({"messages": []}, config, stream_mode="messages"))
|
||||
assert len(results) == 1
|
||||
_, metadata = results[0]
|
||||
# propagated keys
|
||||
assert metadata["thread_id"] == "th-123"
|
||||
assert metadata["checkpoint_id"] == "ckpt-1"
|
||||
assert metadata["checkpoint_ns"] == "ns-1"
|
||||
assert metadata["task_id"] == "task-1"
|
||||
assert metadata["run_id"] == "run-456"
|
||||
assert metadata["assistant_id"] == "asst-789"
|
||||
assert metadata["graph_id"] == "graph-0"
|
||||
# These are only present in trace metadata by default as of langgraph 1.2
|
||||
# assert metadata["model"] == "gpt-4o"
|
||||
# assert metadata["user_id"] == "uid-1"
|
||||
# assert metadata["cron_id"] == "cron-1"
|
||||
# assert metadata["langgraph_auth_user_id"] == "user-1"
|
||||
# non-allowlisted keys must not appear
|
||||
assert "some_api_key" not in metadata
|
||||
assert "custom_setting" not in metadata
|
||||
|
||||
|
||||
def test_stream_mode_messages_command() -> None:
|
||||
from langchain_core.messages import HumanMessage
|
||||
|
||||
|
||||
@@ -20,7 +20,6 @@ from uuid import UUID
|
||||
|
||||
import pytest
|
||||
from langchain_core.language_models import GenericFakeChatModel
|
||||
from langchain_core.messages import HumanMessage
|
||||
from langchain_core.runnables import RunnableConfig, RunnableLambda, RunnablePassthrough
|
||||
from langchain_core.utils.aiter import aclosing
|
||||
from langgraph.cache.base import BaseCache
|
||||
@@ -54,6 +53,7 @@ from langgraph.func import entrypoint, task
|
||||
from langgraph.graph import END, START, StateGraph
|
||||
from langgraph.graph.message import MessagesState, add_messages
|
||||
from langgraph.pregel import NodeBuilder, Pregel
|
||||
from langgraph.pregel._checkpoint_writer import DEFAULT_CHECKPOINT_BACKLOG
|
||||
from langgraph.pregel._loop import AsyncPregelLoop
|
||||
from langgraph.pregel._runner import PregelRunner
|
||||
from langgraph.types import (
|
||||
@@ -485,6 +485,61 @@ async def test_checkpoint_put_after_cancellation_stream_events_anext() -> None:
|
||||
assert False, "Task should be cancelled"
|
||||
|
||||
|
||||
async def test_async_durability_applies_checkpoint_backpressure() -> None:
|
||||
first_put_started = asyncio.Event()
|
||||
release_first_put = asyncio.Event()
|
||||
put_calls = 0
|
||||
visited: list[int] = []
|
||||
|
||||
class SlowFirstPutCheckpointer(InMemorySaver):
|
||||
async def aput(
|
||||
self,
|
||||
config: RunnableConfig,
|
||||
checkpoint: Checkpoint,
|
||||
metadata: CheckpointMetadata,
|
||||
new_versions: ChannelVersions,
|
||||
) -> RunnableConfig:
|
||||
nonlocal put_calls
|
||||
put_calls += 1
|
||||
if put_calls == 1:
|
||||
first_put_started.set()
|
||||
await release_first_put.wait()
|
||||
return await super().aput(config, checkpoint, metadata, new_versions)
|
||||
|
||||
class State(TypedDict):
|
||||
counter: int
|
||||
|
||||
def increment(state: State) -> State:
|
||||
visited.append(state["counter"])
|
||||
return {"counter": state["counter"] + 1}
|
||||
|
||||
def should_continue(state: State) -> str:
|
||||
return "loop" if state["counter"] < 4 else "done"
|
||||
|
||||
builder = StateGraph(State)
|
||||
builder.add_node("increment", increment)
|
||||
builder.add_edge(START, "increment")
|
||||
builder.add_conditional_edges(
|
||||
"increment", should_continue, {"loop": "increment", "done": END}
|
||||
)
|
||||
|
||||
graph = builder.compile(checkpointer=SlowFirstPutCheckpointer())
|
||||
task = asyncio.create_task(
|
||||
graph.ainvoke(
|
||||
{"counter": 0}, {"configurable": {"thread_id": "1"}}, durability="async"
|
||||
)
|
||||
)
|
||||
|
||||
await first_put_started.wait()
|
||||
await asyncio.sleep(0.05)
|
||||
|
||||
assert not task.done()
|
||||
assert len(visited) <= DEFAULT_CHECKPOINT_BACKLOG + 1
|
||||
|
||||
release_first_put.set()
|
||||
assert await task == {"counter": 4}
|
||||
|
||||
|
||||
async def test_node_cancellation_on_external_cancel() -> None:
|
||||
inner_task_cancelled = False
|
||||
|
||||
@@ -2086,11 +2141,8 @@ async def test_run_from_checkpoint_id_retains_previous_writes(
|
||||
)
|
||||
]
|
||||
|
||||
# +2: one fork checkpoint from time travel, one from the new execution
|
||||
assert len(new_history) == len(history) + 2
|
||||
# new_history[0] is the new execution result, new_history[1] is the fork
|
||||
assert new_history[1].metadata["source"] == "fork"
|
||||
for original, new in zip(history, new_history[2:]):
|
||||
assert len(new_history) == len(history) + 1
|
||||
for original, new in zip(history, new_history[1:]):
|
||||
assert original.values == new.values
|
||||
assert original.next == new.next
|
||||
assert original.metadata["step"] == new.metadata["step"]
|
||||
@@ -2098,7 +2150,7 @@ async def test_run_from_checkpoint_id_retains_previous_writes(
|
||||
def _get_tasks(hist: list, start: int):
|
||||
return [h.tasks for h in hist[start:]]
|
||||
|
||||
assert _get_tasks(new_history, 2) == _get_tasks(history, 0)
|
||||
assert _get_tasks(new_history, 1) == _get_tasks(history, 0)
|
||||
|
||||
|
||||
async def test_cond_edge_after_send() -> None:
|
||||
@@ -7545,6 +7597,7 @@ async def test_tags_stream_mode_messages() -> None:
|
||||
"langgraph_path": ("__pregel_pull", "call_model"),
|
||||
"langgraph_checkpoint_ns": AnyStr("call_model:"),
|
||||
"checkpoint_ns": AnyStr("call_model:"),
|
||||
"_type": "generic-fake-chat-model",
|
||||
"ls_provider": "genericfakechatmodel",
|
||||
"ls_model_type": "chat",
|
||||
"ls_integration": "langchain_chat_model",
|
||||
@@ -7554,67 +7607,6 @@ async def test_tags_stream_mode_messages() -> None:
|
||||
]
|
||||
|
||||
|
||||
async def test_configurable_propagates_to_stream_metadata() -> None:
|
||||
"""Regression: thread_id, run_id, assistant_id, graph_id,
|
||||
and langgraph_auth_user_id from configurable must appear
|
||||
in stream_mode='messages' metadata."""
|
||||
|
||||
def my_node(state):
|
||||
return {"messages": HumanMessage(content="hello")}
|
||||
|
||||
graph = (
|
||||
StateGraph(MessagesState)
|
||||
.add_node("my_node", my_node)
|
||||
.add_edge(START, "my_node")
|
||||
.compile()
|
||||
)
|
||||
|
||||
config = {
|
||||
"configurable": {
|
||||
"thread_id": "th-123",
|
||||
"checkpoint_id": "ckpt-1",
|
||||
"checkpoint_ns": "ns-1",
|
||||
"task_id": "task-1",
|
||||
"run_id": "run-456",
|
||||
"assistant_id": "asst-789",
|
||||
"graph_id": "graph-0",
|
||||
"model": "gpt-4o",
|
||||
"user_id": "uid-1",
|
||||
"cron_id": "cron-1",
|
||||
"langgraph_auth_user_id": "user-1",
|
||||
# these should NOT be propagated into metadata
|
||||
"some_api_key": "secret",
|
||||
"custom_setting": {"nested": True},
|
||||
},
|
||||
}
|
||||
results = [
|
||||
chunk
|
||||
async for chunk in graph.astream(
|
||||
{"messages": []}, config, stream_mode="messages"
|
||||
)
|
||||
]
|
||||
assert len(results) == 1
|
||||
_, metadata = results[0]
|
||||
# propagated keys
|
||||
assert metadata["thread_id"] == "th-123"
|
||||
assert metadata["checkpoint_id"] == "ckpt-1"
|
||||
assert metadata["checkpoint_ns"] == "ns-1"
|
||||
assert metadata["task_id"] == "task-1"
|
||||
assert metadata["run_id"] == "run-456"
|
||||
assert metadata["assistant_id"] == "asst-789"
|
||||
assert metadata["graph_id"] == "graph-0"
|
||||
|
||||
# These will only be traced as of langgraph 1.2 and not present by default in
|
||||
# metadata
|
||||
# assert metadata["model"] == "gpt-4o"
|
||||
# assert metadata["user_id"] == "uid-1"
|
||||
# assert metadata["cron_id"] == "cron-1"
|
||||
# assert metadata["langgraph_auth_user_id"] == "user-1"
|
||||
# non-allowlisted keys must not appear
|
||||
assert "some_api_key" not in metadata
|
||||
assert "custom_setting" not in metadata
|
||||
|
||||
|
||||
async def test_stream_mode_messages_command() -> None:
|
||||
from langchain_core.messages import HumanMessage
|
||||
|
||||
|
||||
@@ -37,7 +37,6 @@ def _checkpoint_summary(history: list) -> list[dict]:
|
||||
Returns a list of dicts (newest-first, matching get_state_history order) with:
|
||||
- id: short checkpoint id suffix (last 6 chars)
|
||||
- parent_id: short parent checkpoint id suffix or None
|
||||
- source: checkpoint metadata source (input, loop, fork, update)
|
||||
- next: tuple of next node names
|
||||
- values: channel values snapshot
|
||||
"""
|
||||
@@ -53,7 +52,6 @@ def _checkpoint_summary(history: list) -> list[dict]:
|
||||
{
|
||||
"id": cid[-6:],
|
||||
"parent_id": pid[-6:] if pid else None,
|
||||
"source": s.metadata.get("source"),
|
||||
"next": s.next,
|
||||
"values": s.values,
|
||||
}
|
||||
@@ -282,116 +280,6 @@ def test_replay_from_before_interrupt_refires(
|
||||
assert call_count["node_b"] == 1 # NOT re-executed (after interrupt)
|
||||
|
||||
|
||||
def test_replay_from_before_interrupt_then_resume(
|
||||
sync_checkpointer: BaseCheckpointSaver,
|
||||
) -> None:
|
||||
"""Replay from checkpoint before interrupt node, then resume with a new
|
||||
answer and verify the graph completes with the new value.
|
||||
|
||||
Graph: START --> node_a --> ask_human (interrupt) --> node_b --> END
|
||||
|
||||
Original run:
|
||||
source=input next=(__start__,) values=[]
|
||||
source=loop next=(node_a,) values=[]
|
||||
source=loop next=(ask_human,) values=[a] <-- replay from here
|
||||
source=loop next=(node_b,) values=[a, human:old_answer]
|
||||
source=loop next=() values=[a, human:old_answer, b]
|
||||
|
||||
After replay (fork created) + resume with "new_answer":
|
||||
source=input next=(__start__,) values=[]
|
||||
source=loop next=(node_a,) values=[]
|
||||
source=loop next=(ask_human,) values=[a] <-- branch point
|
||||
source=loop next=(node_b,) values=[a, human:old_answer]
|
||||
source=loop next=() values=[a, human:old_answer, b] (old branch)
|
||||
source=fork next=(ask_human,) values=[a] <-- fork from branch point
|
||||
source=loop next=(node_b,) values=[a, human:new_answer]
|
||||
source=loop next=() values=[a, human:new_answer, b] (new branch)
|
||||
"""
|
||||
|
||||
called: list[str] = []
|
||||
|
||||
def node_a(state: State) -> State:
|
||||
called.append("node_a")
|
||||
return {"value": ["a"]}
|
||||
|
||||
def ask_human(state: State) -> State:
|
||||
called.append("ask_human")
|
||||
answer = interrupt("What is your input?")
|
||||
return {"value": [f"human:{answer}"]}
|
||||
|
||||
def node_b(state: State) -> State:
|
||||
called.append("node_b")
|
||||
return {"value": ["b"]}
|
||||
|
||||
graph = (
|
||||
StateGraph(State)
|
||||
.add_node("node_a", node_a)
|
||||
.add_node("ask_human", ask_human)
|
||||
.add_node("node_b", node_b)
|
||||
.add_edge(START, "node_a")
|
||||
.add_edge("node_a", "ask_human")
|
||||
.add_edge("ask_human", "node_b")
|
||||
.compile(checkpointer=sync_checkpointer)
|
||||
)
|
||||
|
||||
config = {"configurable": {"thread_id": "1"}}
|
||||
|
||||
# --- Original run: invoke until interrupt, then resume to complete ---
|
||||
graph.invoke({"value": []}, config)
|
||||
graph.invoke(Command(resume="old_answer"), config)
|
||||
|
||||
original_history = list(graph.get_state_history(config))
|
||||
original = _checkpoint_summary(original_history)
|
||||
assert [(s["source"], s["next"], s["values"]) for s in original] == [
|
||||
("loop", (), {"value": ["a", "human:old_answer", "b"]}),
|
||||
("loop", ("node_b",), {"value": ["a", "human:old_answer"]}),
|
||||
("loop", ("ask_human",), {"value": ["a"]}),
|
||||
("loop", ("node_a",), {"value": []}),
|
||||
("input", ("__start__",), {"value": []}),
|
||||
]
|
||||
|
||||
# --- Replay from checkpoint before ask_human ---
|
||||
before_ask = next(s for s in original_history if s.next == ("ask_human",))
|
||||
|
||||
called.clear()
|
||||
replay_result = graph.invoke(None, before_ask.config)
|
||||
assert replay_result["__interrupt__"][0].value == "What is your input?"
|
||||
assert "ask_human" in called
|
||||
assert "node_a" not in called # before the replay point, not re-executed
|
||||
|
||||
# A fork checkpoint is now the latest — it branches from the replay point
|
||||
post_replay = _checkpoint_summary(list(graph.get_state_history(config)))
|
||||
assert [(s["source"], s["next"]) for s in post_replay] == [
|
||||
("fork", ("ask_human",)), # <-- new fork (latest)
|
||||
("loop", ()), # original done
|
||||
("loop", ("node_b",)),
|
||||
("loop", ("ask_human",)), # branch point
|
||||
("loop", ("node_a",)),
|
||||
("input", ("__start__",)),
|
||||
]
|
||||
|
||||
# --- Resume with a new answer ---
|
||||
called.clear()
|
||||
final_result = graph.invoke(Command(resume="new_answer"), config)
|
||||
assert final_result["value"] == ["a", "human:new_answer", "b"]
|
||||
assert "ask_human" in called
|
||||
assert "node_b" in called
|
||||
|
||||
final = _checkpoint_summary(list(graph.get_state_history(config)))
|
||||
assert [(s["source"], s["next"], s["values"]) for s in final] == [
|
||||
# New branch (from fork)
|
||||
("loop", (), {"value": ["a", "human:new_answer", "b"]}),
|
||||
("loop", ("node_b",), {"value": ["a", "human:new_answer"]}),
|
||||
("fork", ("ask_human",), {"value": ["a"]}),
|
||||
# Original branch (preserved)
|
||||
("loop", (), {"value": ["a", "human:old_answer", "b"]}),
|
||||
("loop", ("node_b",), {"value": ["a", "human:old_answer"]}),
|
||||
("loop", ("ask_human",), {"value": ["a"]}),
|
||||
("loop", ("node_a",), {"value": []}),
|
||||
("input", ("__start__",), {"value": []}),
|
||||
]
|
||||
|
||||
|
||||
def test_replay_interrupt_stable_across_replays(
|
||||
sync_checkpointer: BaseCheckpointSaver,
|
||||
) -> None:
|
||||
@@ -432,14 +320,8 @@ def test_replay_interrupt_stable_across_replays(
|
||||
r = graph.invoke(None, before_ask.config)
|
||||
results.append(r)
|
||||
|
||||
# Each replay creates a fork with a unique interrupt ID, so we compare
|
||||
# interrupt values and state values rather than full equality.
|
||||
assert all("__interrupt__" in r for r in results)
|
||||
assert all(
|
||||
r["__interrupt__"][0].value == results[0]["__interrupt__"][0].value
|
||||
for r in results
|
||||
)
|
||||
assert all(r["value"] == results[0]["value"] for r in results)
|
||||
assert all(r == results[0] for r in results)
|
||||
assert "__interrupt__" in results[0]
|
||||
|
||||
|
||||
def test_fork_from_before_interrupt_refires(
|
||||
@@ -972,290 +854,6 @@ def test_subgraph_interrupt_replay_from_interrupt_checkpoint(
|
||||
assert "step_b" not in called
|
||||
|
||||
|
||||
def test_subgraph_interrupt_replay_from_parent_then_resume(
|
||||
sync_checkpointer: BaseCheckpointSaver,
|
||||
) -> None:
|
||||
"""Replay from the parent checkpoint where a subgraph interrupt fired,
|
||||
then resume with a new answer. Verifies that a fork is created and the
|
||||
full graph completes. Checks full checkpoint history at each stage."""
|
||||
|
||||
called: list[str] = []
|
||||
|
||||
def router(state: State) -> State:
|
||||
called.append("router")
|
||||
return {"value": ["routed"]}
|
||||
|
||||
def step_a(state: State) -> State:
|
||||
called.append("step_a")
|
||||
return {"value": ["sub_a"]}
|
||||
|
||||
def ask_human(state: State) -> State:
|
||||
called.append("ask_human")
|
||||
answer = interrupt("Provide input:")
|
||||
return {"value": [f"human:{answer}"]}
|
||||
|
||||
def step_b(state: State) -> State:
|
||||
called.append("step_b")
|
||||
return {"value": ["sub_b"]}
|
||||
|
||||
subgraph = (
|
||||
StateGraph(State)
|
||||
.add_node("step_a", step_a)
|
||||
.add_node("ask_human", ask_human)
|
||||
.add_node("step_b", step_b)
|
||||
.add_edge(START, "step_a")
|
||||
.add_edge("step_a", "ask_human")
|
||||
.add_edge("ask_human", "step_b")
|
||||
.compile(checkpointer=True)
|
||||
)
|
||||
|
||||
def post_process(state: State) -> State:
|
||||
called.append("post_process")
|
||||
return {"value": ["post"]}
|
||||
|
||||
graph = (
|
||||
StateGraph(State)
|
||||
.add_node("router", router)
|
||||
.add_node("subgraph_node", subgraph)
|
||||
.add_node("post_process", post_process)
|
||||
.add_edge(START, "router")
|
||||
.add_edge("router", "subgraph_node")
|
||||
.add_edge("subgraph_node", "post_process")
|
||||
.compile(checkpointer=sync_checkpointer)
|
||||
)
|
||||
|
||||
config = {"configurable": {"thread_id": "1"}}
|
||||
|
||||
# Run until interrupt, then resume to complete
|
||||
graph.invoke({"value": []}, config)
|
||||
graph.invoke(Command(resume="old_answer"), config)
|
||||
|
||||
# Original parent history (newest first)
|
||||
original_history = list(graph.get_state_history(config))
|
||||
assert [s.next for s in original_history] == [
|
||||
(), # done
|
||||
("post_process",),
|
||||
("subgraph_node",), # subgraph ran, interrupt fired here
|
||||
("router",),
|
||||
("__start__",),
|
||||
]
|
||||
|
||||
# Find the parent checkpoint where the interrupt fired
|
||||
interrupt_checkpoint = next(
|
||||
s for s in original_history if s.next == ("subgraph_node",)
|
||||
)
|
||||
|
||||
# Replay from parent checkpoint — subgraph re-executes, interrupt re-fires
|
||||
called.clear()
|
||||
replay_result = graph.invoke(None, interrupt_checkpoint.config)
|
||||
assert "__interrupt__" in replay_result
|
||||
assert replay_result["__interrupt__"][0].value == "Provide input:"
|
||||
assert "step_a" in called
|
||||
assert "ask_human" in called
|
||||
assert "step_b" not in called
|
||||
|
||||
# Verify fork checkpoint was created
|
||||
post_replay_history = list(graph.get_state_history(config))
|
||||
assert [s.next for s in post_replay_history] == [
|
||||
("subgraph_node",), # fork (interrupt pending)
|
||||
(), # original done
|
||||
("post_process",),
|
||||
("subgraph_node",),
|
||||
("router",),
|
||||
("__start__",),
|
||||
]
|
||||
assert [s.metadata["source"] for s in post_replay_history] == [
|
||||
"fork",
|
||||
"loop",
|
||||
"loop",
|
||||
"loop",
|
||||
"loop",
|
||||
"input",
|
||||
]
|
||||
fork = post_replay_history[0]
|
||||
assert (
|
||||
fork.parent_config["configurable"]["checkpoint_id"]
|
||||
== interrupt_checkpoint.config["configurable"]["checkpoint_id"]
|
||||
)
|
||||
|
||||
# Resume with a new answer — full graph should complete
|
||||
called.clear()
|
||||
final_result = graph.invoke(Command(resume="new_answer"), config)
|
||||
assert "__interrupt__" not in final_result
|
||||
assert "human:new_answer" in final_result["value"]
|
||||
assert "sub_b" in final_result["value"]
|
||||
assert "post" in final_result["value"]
|
||||
assert "ask_human" in called
|
||||
assert "step_b" in called
|
||||
assert "post_process" in called
|
||||
|
||||
# Final checkpoint history
|
||||
final_history = list(graph.get_state_history(config))
|
||||
assert [s.next for s in final_history] == [
|
||||
(), # new branch done
|
||||
("post_process",), # new branch post_process
|
||||
("subgraph_node",), # fork
|
||||
(), # original done
|
||||
("post_process",),
|
||||
("subgraph_node",),
|
||||
("router",),
|
||||
("__start__",),
|
||||
]
|
||||
assert [s.metadata["source"] for s in final_history] == [
|
||||
"loop",
|
||||
"loop",
|
||||
"fork",
|
||||
"loop",
|
||||
"loop",
|
||||
"loop",
|
||||
"loop",
|
||||
"input",
|
||||
]
|
||||
|
||||
|
||||
def test_subgraph_replay_loads_accumulated_state_then_resume(
|
||||
sync_checkpointer: BaseCheckpointSaver,
|
||||
) -> None:
|
||||
"""Two parent invocations, then replay from before the subgraph in the
|
||||
2nd invocation. The subgraph (checkpointer=True) should load its
|
||||
accumulated state from the 1st invocation via ReplayState, re-fire
|
||||
the interrupt, and then resume + complete.
|
||||
|
||||
This tests the ReplayState path: the parent is replaying and the
|
||||
subgraph uses list(before=parent_checkpoint_id) to find its
|
||||
corresponding checkpoint from the original execution.
|
||||
"""
|
||||
|
||||
class SubState(TypedDict):
|
||||
value: Annotated[list[str], operator.add]
|
||||
|
||||
class ParentState(TypedDict):
|
||||
results: Annotated[list[str], operator.add]
|
||||
|
||||
started_state: list[dict] = []
|
||||
|
||||
def step_a(state: SubState) -> SubState:
|
||||
started_state.append(dict(state))
|
||||
answer = interrupt("question_a")
|
||||
return {"value": [f"a:{answer}"]}
|
||||
|
||||
subgraph = (
|
||||
StateGraph(SubState)
|
||||
.add_node("step_a", step_a)
|
||||
.add_edge(START, "step_a")
|
||||
.compile(checkpointer=True)
|
||||
)
|
||||
|
||||
def parent_node(state: ParentState) -> ParentState:
|
||||
return {"results": ["p"]}
|
||||
|
||||
graph = (
|
||||
StateGraph(ParentState)
|
||||
.add_node("parent_node", parent_node)
|
||||
.add_node("sub_node", subgraph)
|
||||
.add_edge(START, "parent_node")
|
||||
.add_edge("parent_node", "sub_node")
|
||||
.compile(checkpointer=sync_checkpointer)
|
||||
)
|
||||
|
||||
config = {"configurable": {"thread_id": "1"}}
|
||||
|
||||
# === 1st invocation: complete with answer "a1" ===
|
||||
graph.invoke({"results": []}, config)
|
||||
graph.invoke(Command(resume="a1"), config)
|
||||
|
||||
# step_a saw empty state (fresh subgraph)
|
||||
assert started_state[0] == {"value": []}
|
||||
|
||||
# === 2nd invocation: complete with answer "a2" ===
|
||||
started_state.clear()
|
||||
graph.invoke({"results": []}, config)
|
||||
graph.invoke(Command(resume="a2"), config)
|
||||
|
||||
# Stateful subgraph retained state from 1st invocation
|
||||
assert started_state[0] == {"value": ["a:a1"]}
|
||||
|
||||
# Original history (newest first)
|
||||
original_history = list(graph.get_state_history(config))
|
||||
assert [s.next for s in original_history] == [
|
||||
(), # 2nd done
|
||||
("sub_node",), # 2nd sub_node
|
||||
("parent_node",), # 2nd parent_node
|
||||
("__start__",), # 2nd input
|
||||
(), # 1st done
|
||||
("sub_node",), # 1st sub_node
|
||||
("parent_node",), # 1st parent_node
|
||||
("__start__",), # 1st input
|
||||
]
|
||||
|
||||
# Replay from before sub_node in 2nd invocation (newest match)
|
||||
before_sub_2nd = [s for s in original_history if s.next == ("sub_node",)][0]
|
||||
started_state.clear()
|
||||
replay = graph.invoke(None, before_sub_2nd.config)
|
||||
assert "__interrupt__" in replay
|
||||
|
||||
# Subgraph should see accumulated state from END of 1st invocation
|
||||
assert started_state[0] == {"value": ["a:a1"]}
|
||||
|
||||
# Verify fork was created
|
||||
post_replay_history = list(graph.get_state_history(config))
|
||||
assert [s.next for s in post_replay_history] == [
|
||||
("sub_node",), # fork (interrupt pending)
|
||||
(), # 2nd done
|
||||
("sub_node",), # 2nd sub_node
|
||||
("parent_node",), # 2nd parent_node
|
||||
("__start__",), # 2nd input
|
||||
(), # 1st done
|
||||
("sub_node",), # 1st sub_node
|
||||
("parent_node",), # 1st parent_node
|
||||
("__start__",), # 1st input
|
||||
]
|
||||
assert [s.metadata["source"] for s in post_replay_history] == [
|
||||
"fork",
|
||||
"loop",
|
||||
"loop",
|
||||
"loop",
|
||||
"input",
|
||||
"loop",
|
||||
"loop",
|
||||
"loop",
|
||||
"input",
|
||||
]
|
||||
|
||||
# Resume with a new answer
|
||||
started_state.clear()
|
||||
final = graph.invoke(Command(resume="a3"), config)
|
||||
assert "__interrupt__" not in final
|
||||
assert final["results"] == ["p", "p"]
|
||||
|
||||
# Final history
|
||||
final_history = list(graph.get_state_history(config))
|
||||
assert [s.next for s in final_history] == [
|
||||
(), # new branch done
|
||||
("sub_node",), # fork
|
||||
(), # 2nd done
|
||||
("sub_node",), # 2nd sub_node
|
||||
("parent_node",), # 2nd parent_node
|
||||
("__start__",), # 2nd input
|
||||
(), # 1st done
|
||||
("sub_node",), # 1st sub_node
|
||||
("parent_node",), # 1st parent_node
|
||||
("__start__",), # 1st input
|
||||
]
|
||||
assert [s.metadata["source"] for s in final_history] == [
|
||||
"loop",
|
||||
"fork",
|
||||
"loop",
|
||||
"loop",
|
||||
"loop",
|
||||
"input",
|
||||
"loop",
|
||||
"loop",
|
||||
"loop",
|
||||
"input",
|
||||
]
|
||||
|
||||
|
||||
def test_subgraph_interrupt_full_flow(
|
||||
sync_checkpointer: BaseCheckpointSaver,
|
||||
) -> None:
|
||||
@@ -1692,321 +1290,6 @@ def test_subgraph_time_travel_to_second_interrupt(
|
||||
assert "ask_1" not in called
|
||||
|
||||
|
||||
def test_subgraph_time_travel_resume_from_first_interrupt(
|
||||
sync_checkpointer: BaseCheckpointSaver,
|
||||
) -> None:
|
||||
"""Time travel to a subgraph checkpoint at the first interrupt, then
|
||||
resume through both interrupts with new answers.
|
||||
|
||||
This verifies the key bug fix: after time-traveling to a subgraph
|
||||
checkpoint with an interrupt, a fork checkpoint is created so that
|
||||
subsequent resumes find the correct state (not the old branch tip).
|
||||
|
||||
Parent: START --> executor (subgraph, checkpointer=True) --> END
|
||||
Executor: START --> step_a --> ask_1 (interrupt) --> ask_2 (interrupt) --> END
|
||||
|
||||
Parent history after original run completes:
|
||||
source=input next=(__start__,) values=[]
|
||||
source=loop next=(executor,) values=[]
|
||||
source=loop next=() values=[step_a_done, ask_1:answer_1, ask_2:answer_2]
|
||||
|
||||
After time-traveling to 1st interrupt + resuming with new answers:
|
||||
source=input next=(__start__,) values=[]
|
||||
source=loop next=(executor,) values=[] <-- branch point
|
||||
source=loop next=() values=[..., ask_2:answer_2] (old branch)
|
||||
source=fork next=(executor,) values=[] <-- fork from time travel
|
||||
source=loop next=() values=[..., ask_2:new_answer_2] (new branch)
|
||||
"""
|
||||
|
||||
called: list[str] = []
|
||||
|
||||
def step_a(state: State) -> State:
|
||||
called.append("step_a")
|
||||
return {"value": ["step_a_done"]}
|
||||
|
||||
def ask_1(state: State) -> State:
|
||||
called.append("ask_1")
|
||||
answer = interrupt("Question 1?")
|
||||
return {"value": [f"ask_1:{answer}"]}
|
||||
|
||||
def ask_2(state: State) -> State:
|
||||
called.append("ask_2")
|
||||
answer = interrupt("Question 2?")
|
||||
return {"value": [f"ask_2:{answer}"]}
|
||||
|
||||
executor = (
|
||||
StateGraph(State)
|
||||
.add_node("step_a", step_a)
|
||||
.add_node("ask_1", ask_1)
|
||||
.add_node("ask_2", ask_2)
|
||||
.add_edge(START, "step_a")
|
||||
.add_edge("step_a", "ask_1")
|
||||
.add_edge("ask_1", "ask_2")
|
||||
.add_edge("ask_2", "__end__")
|
||||
.compile(checkpointer=True)
|
||||
)
|
||||
|
||||
graph = (
|
||||
StateGraph(State)
|
||||
.add_node("executor", executor)
|
||||
.add_edge(START, "executor")
|
||||
.compile(checkpointer=sync_checkpointer)
|
||||
)
|
||||
|
||||
config = {"configurable": {"thread_id": "1"}}
|
||||
|
||||
# --- Original run: hit both interrupts and resume ---
|
||||
graph.invoke({"value": []}, config)
|
||||
sub_config_at_first = graph.get_state(config, subgraphs=True).tasks[0].state.config
|
||||
graph.invoke(Command(resume="answer_1"), config)
|
||||
graph.invoke(Command(resume="answer_2"), config)
|
||||
|
||||
original = _checkpoint_summary(list(graph.get_state_history(config)))
|
||||
assert [(s["source"], s["next"], s["values"]) for s in original] == [
|
||||
("loop", (), {"value": ["step_a_done", "ask_1:answer_1", "ask_2:answer_2"]}),
|
||||
("loop", ("executor",), {"value": []}),
|
||||
("input", ("__start__",), {"value": []}),
|
||||
]
|
||||
|
||||
# --- Time travel to first interrupt's subgraph checkpoint ---
|
||||
called.clear()
|
||||
replay_result = graph.invoke(None, sub_config_at_first)
|
||||
assert replay_result["__interrupt__"][0].value == "Question 1?"
|
||||
assert "step_a" not in called # before interrupt, not re-executed
|
||||
|
||||
# Fork is now the latest parent checkpoint
|
||||
post_tt = _checkpoint_summary(list(graph.get_state_history(config)))
|
||||
assert [(s["source"], s["next"]) for s in post_tt] == [
|
||||
("fork", ("executor",)), # <-- new fork (latest)
|
||||
("loop", ()), # original done
|
||||
("loop", ("executor",)),
|
||||
("input", ("__start__",)),
|
||||
]
|
||||
|
||||
# --- Resume both interrupts with new answers ---
|
||||
called.clear()
|
||||
resume_1 = graph.invoke(Command(resume="new_answer_1"), config)
|
||||
assert resume_1["__interrupt__"][0].value == "Question 2?"
|
||||
assert "ask_1" in called
|
||||
|
||||
called.clear()
|
||||
resume_2 = graph.invoke(Command(resume="new_answer_2"), config)
|
||||
assert resume_2["value"] == [
|
||||
"step_a_done",
|
||||
"ask_1:new_answer_1",
|
||||
"ask_2:new_answer_2",
|
||||
]
|
||||
|
||||
# Verify final history: original branch preserved, new branch appended
|
||||
final = _checkpoint_summary(list(graph.get_state_history(config)))
|
||||
assert [(s["source"], s["next"], s["values"]) for s in final] == [
|
||||
# New branch (from time travel fork)
|
||||
(
|
||||
"loop",
|
||||
(),
|
||||
{"value": ["step_a_done", "ask_1:new_answer_1", "ask_2:new_answer_2"]},
|
||||
),
|
||||
("fork", ("executor",), {"value": []}),
|
||||
# Original branch (preserved)
|
||||
("loop", (), {"value": ["step_a_done", "ask_1:answer_1", "ask_2:answer_2"]}),
|
||||
("loop", ("executor",), {"value": []}),
|
||||
("input", ("__start__",), {"value": []}),
|
||||
]
|
||||
|
||||
|
||||
def test_subgraph_time_travel_resume_from_second_interrupt(
|
||||
sync_checkpointer: BaseCheckpointSaver,
|
||||
) -> None:
|
||||
"""Time travel to a subgraph checkpoint at the second interrupt, then
|
||||
resume with a new answer. The first interrupt's answer should be preserved.
|
||||
|
||||
Parent: START --> executor (subgraph, checkpointer=True) --> END
|
||||
Executor: START --> step_a --> ask_1 (interrupt) --> ask_2 (interrupt) --> END
|
||||
|
||||
Key assertion: after resuming from a time-travel to the 2nd interrupt,
|
||||
the final state keeps ask_1's original answer but uses the new ask_2 answer.
|
||||
"""
|
||||
|
||||
called: list[str] = []
|
||||
|
||||
def step_a(state: State) -> State:
|
||||
called.append("step_a")
|
||||
return {"value": ["step_a_done"]}
|
||||
|
||||
def ask_1(state: State) -> State:
|
||||
called.append("ask_1")
|
||||
answer = interrupt("Question 1?")
|
||||
return {"value": [f"ask_1:{answer}"]}
|
||||
|
||||
def ask_2(state: State) -> State:
|
||||
called.append("ask_2")
|
||||
answer = interrupt("Question 2?")
|
||||
return {"value": [f"ask_2:{answer}"]}
|
||||
|
||||
executor = (
|
||||
StateGraph(State)
|
||||
.add_node("step_a", step_a)
|
||||
.add_node("ask_1", ask_1)
|
||||
.add_node("ask_2", ask_2)
|
||||
.add_edge(START, "step_a")
|
||||
.add_edge("step_a", "ask_1")
|
||||
.add_edge("ask_1", "ask_2")
|
||||
.add_edge("ask_2", "__end__")
|
||||
.compile(checkpointer=True)
|
||||
)
|
||||
|
||||
graph = (
|
||||
StateGraph(State)
|
||||
.add_node("executor", executor)
|
||||
.add_edge(START, "executor")
|
||||
.compile(checkpointer=sync_checkpointer)
|
||||
)
|
||||
|
||||
config = {"configurable": {"thread_id": "1"}}
|
||||
|
||||
# --- Original run: hit both interrupts and resume ---
|
||||
graph.invoke({"value": []}, config)
|
||||
graph.invoke(Command(resume="answer_1"), config)
|
||||
sub_config_at_second = graph.get_state(config, subgraphs=True).tasks[0].state.config
|
||||
graph.invoke(Command(resume="answer_2"), config)
|
||||
|
||||
original = _checkpoint_summary(list(graph.get_state_history(config)))
|
||||
assert [(s["source"], s["next"], s["values"]) for s in original] == [
|
||||
("loop", (), {"value": ["step_a_done", "ask_1:answer_1", "ask_2:answer_2"]}),
|
||||
("loop", ("executor",), {"value": []}),
|
||||
("input", ("__start__",), {"value": []}),
|
||||
]
|
||||
|
||||
# --- Time travel to second interrupt ---
|
||||
called.clear()
|
||||
replay_result = graph.invoke(None, sub_config_at_second)
|
||||
assert replay_result["__interrupt__"][0].value == "Question 2?"
|
||||
assert "step_a" not in called
|
||||
assert "ask_1" not in called # already resolved, not re-executed
|
||||
|
||||
# Fork is now the latest parent checkpoint
|
||||
post_tt = _checkpoint_summary(list(graph.get_state_history(config)))
|
||||
assert [(s["source"], s["next"]) for s in post_tt] == [
|
||||
("fork", ("executor",)), # <-- new fork (latest)
|
||||
("loop", ()), # original done
|
||||
("loop", ("executor",)),
|
||||
("input", ("__start__",)),
|
||||
]
|
||||
|
||||
# --- Resume with a new answer for ask_2 only ---
|
||||
called.clear()
|
||||
resume_result = graph.invoke(Command(resume="new_answer_2"), config)
|
||||
# ask_1's original answer preserved, ask_2 uses the new answer
|
||||
assert resume_result["value"] == [
|
||||
"step_a_done",
|
||||
"ask_1:answer_1",
|
||||
"ask_2:new_answer_2",
|
||||
]
|
||||
|
||||
# Verify final history: original branch preserved, new branch appended
|
||||
final = _checkpoint_summary(list(graph.get_state_history(config)))
|
||||
assert [(s["source"], s["next"], s["values"]) for s in final] == [
|
||||
# New branch (from time travel fork)
|
||||
(
|
||||
"loop",
|
||||
(),
|
||||
{"value": ["step_a_done", "ask_1:answer_1", "ask_2:new_answer_2"]},
|
||||
),
|
||||
("fork", ("executor",), {"value": []}),
|
||||
# Original branch (preserved)
|
||||
("loop", (), {"value": ["step_a_done", "ask_1:answer_1", "ask_2:answer_2"]}),
|
||||
("loop", ("executor",), {"value": []}),
|
||||
("input", ("__start__",), {"value": []}),
|
||||
]
|
||||
|
||||
|
||||
def test_subgraph_time_travel_checkpoint_pattern(
|
||||
sync_checkpointer: BaseCheckpointSaver,
|
||||
) -> None:
|
||||
"""Verify the checkpoint pattern created by time travel to a subgraph
|
||||
interrupt. A fork checkpoint should branch from the replay point and
|
||||
become the latest parent checkpoint.
|
||||
|
||||
Parent: START --> executor (subgraph, checkpointer=True) --> END
|
||||
Executor: START --> ask (interrupt) --> END
|
||||
|
||||
Original run (after completing):
|
||||
source=input next=(__start__,) values=[]
|
||||
source=loop next=(executor,) values=[] <-- replay point
|
||||
source=loop next=() values=[a:first]
|
||||
|
||||
After time travel to interrupt + resume with "second":
|
||||
source=input next=(__start__,) values=[]
|
||||
source=loop next=(executor,) values=[] <-- branch point
|
||||
source=loop next=() values=[a:first] (old branch)
|
||||
source=fork next=(executor,) values=[] <-- fork
|
||||
source=loop next=() values=[a:second] (new branch)
|
||||
"""
|
||||
|
||||
def ask(state: State) -> State:
|
||||
answer = interrupt("Q?")
|
||||
return {"value": [f"a:{answer}"]}
|
||||
|
||||
executor = (
|
||||
StateGraph(State)
|
||||
.add_node("ask", ask)
|
||||
.add_edge(START, "ask")
|
||||
.compile(checkpointer=True)
|
||||
)
|
||||
|
||||
graph = (
|
||||
StateGraph(State)
|
||||
.add_node("executor", executor)
|
||||
.add_edge(START, "executor")
|
||||
.compile(checkpointer=sync_checkpointer)
|
||||
)
|
||||
|
||||
config = {"configurable": {"thread_id": "1"}}
|
||||
|
||||
# Run until interrupt, then complete
|
||||
graph.invoke({"value": []}, config)
|
||||
sub_config = graph.get_state(config, subgraphs=True).tasks[0].state.config
|
||||
graph.invoke(Command(resume="first"), config)
|
||||
|
||||
original = _checkpoint_summary(list(graph.get_state_history(config)))
|
||||
assert [(s["source"], s["next"], s["values"]) for s in original] == [
|
||||
("loop", (), {"value": ["a:first"]}),
|
||||
("loop", ("executor",), {"value": []}),
|
||||
("input", ("__start__",), {"value": []}),
|
||||
]
|
||||
|
||||
# Time travel to the interrupt
|
||||
graph.invoke(None, sub_config)
|
||||
|
||||
# Fork is now the latest, branching from the original replay point
|
||||
post_tt = list(graph.get_state_history(config))
|
||||
post_tt_summary = _checkpoint_summary(post_tt)
|
||||
assert [(s["source"], s["next"]) for s in post_tt_summary] == [
|
||||
("fork", ("executor",)), # <-- new fork (latest)
|
||||
("loop", ()),
|
||||
("loop", ("executor",)), # <-- replay point / fork parent
|
||||
("input", ("__start__",)),
|
||||
]
|
||||
# Verify the fork's parent is the original replay point
|
||||
replay_point_id = sub_config["configurable"]["checkpoint_map"][""]
|
||||
assert post_tt[0].parent_config["configurable"]["checkpoint_id"] == replay_point_id
|
||||
|
||||
# Resume from the fork — graph completes with new answer
|
||||
result = graph.invoke(Command(resume="second"), config)
|
||||
assert result["value"] == ["a:second"]
|
||||
|
||||
final = _checkpoint_summary(list(graph.get_state_history(config)))
|
||||
assert [(s["source"], s["next"], s["values"]) for s in final] == [
|
||||
# New branch
|
||||
("loop", (), {"value": ["a:second"]}),
|
||||
("fork", ("executor",), {"value": []}),
|
||||
# Original branch
|
||||
("loop", (), {"value": ["a:first"]}),
|
||||
("loop", ("executor",), {"value": []}),
|
||||
("input", ("__start__",), {"value": []}),
|
||||
]
|
||||
|
||||
|
||||
def test_subgraph_time_travel_after_completion(
|
||||
sync_checkpointer: BaseCheckpointSaver,
|
||||
) -> None:
|
||||
@@ -3000,16 +2283,14 @@ def test_replay_creates_branch_preserving_old_checkpoints(
|
||||
# -- Post-replay checkpoint history (newest first) --
|
||||
post_replay_history = list(graph.get_state_history(config))
|
||||
post_summary = _checkpoint_summary(post_replay_history)
|
||||
# 5 original + 1 fork + 2 new branch checkpoints = 8
|
||||
assert len(post_summary) == 8
|
||||
assert len(post_summary) == 7 # 5 original + 2 new branch checkpoints
|
||||
|
||||
# Verify the full shape after replay
|
||||
assert [s["next"] for s in post_summary] == [
|
||||
(), # new branch tip
|
||||
("node_c",), # new branch
|
||||
("node_b",), # fork from replay point
|
||||
(), # old branch tip
|
||||
("node_c",), # old
|
||||
(), # new branch tip (C6)
|
||||
("node_c",), # new branch (C5)
|
||||
(), # old branch tip (C4)
|
||||
("node_c",), # old (C3)
|
||||
("node_b",), # branch point (C2)
|
||||
("node_a",), # old (C1)
|
||||
("__start__",), # old (C0)
|
||||
@@ -3017,7 +2298,6 @@ def test_replay_creates_branch_preserving_old_checkpoints(
|
||||
assert [s["values"] for s in post_summary] == [
|
||||
{"value": ["a", "b2", "c"]}, # new branch tip
|
||||
{"value": ["a", "b2"]}, # new: node_b re-ran with call_count=2
|
||||
{"value": ["a"]}, # fork from replay point
|
||||
{"value": ["a", "b1", "c"]}, # old branch tip preserved
|
||||
{"value": ["a", "b1"]}, # old
|
||||
{"value": ["a"]}, # branch point
|
||||
|
||||
@@ -46,7 +46,6 @@ def _checkpoint_summary(history: list) -> list[dict]:
|
||||
Returns a list of dicts (newest-first, matching get_state_history order) with:
|
||||
- id: short checkpoint id suffix (last 6 chars)
|
||||
- parent_id: short parent checkpoint id suffix or None
|
||||
- source: checkpoint metadata source (input, loop, fork, update)
|
||||
- next: tuple of next node names
|
||||
- values: channel values snapshot
|
||||
"""
|
||||
@@ -62,7 +61,6 @@ def _checkpoint_summary(history: list) -> list[dict]:
|
||||
{
|
||||
"id": cid[-6:],
|
||||
"parent_id": pid[-6:] if pid else None,
|
||||
"source": s.metadata.get("source"),
|
||||
"next": s.next,
|
||||
"values": s.values,
|
||||
}
|
||||
@@ -337,14 +335,8 @@ async def test_replay_interrupt_stable_across_replays(
|
||||
r = await graph.ainvoke(None, before_ask.config)
|
||||
results.append(r)
|
||||
|
||||
# Each replay creates a fork with a unique interrupt ID, so we compare
|
||||
# interrupt values and state values rather than full equality.
|
||||
assert all("__interrupt__" in r for r in results)
|
||||
assert all(
|
||||
r["__interrupt__"][0].value == results[0]["__interrupt__"][0].value
|
||||
for r in results
|
||||
)
|
||||
assert all(r["value"] == results[0]["value"] for r in results)
|
||||
assert all(r == results[0] for r in results)
|
||||
assert "__interrupt__" in results[0]
|
||||
|
||||
|
||||
@NEEDS_CONTEXTVARS
|
||||
@@ -1269,391 +1261,6 @@ async def test_subgraph_time_travel_after_completion_async(
|
||||
assert "ask_2:answer_2" in replay_result["value"]
|
||||
|
||||
|
||||
@NEEDS_CONTEXTVARS
|
||||
async def test_replay_from_before_interrupt_then_resume_async(
|
||||
async_checkpointer: BaseCheckpointSaver,
|
||||
) -> None:
|
||||
"""Replay from checkpoint before interrupt node, then resume with a new
|
||||
answer and verify the graph completes with the new value.
|
||||
|
||||
Graph: START --> node_a --> ask_human (interrupt) --> node_b --> END
|
||||
"""
|
||||
|
||||
called: list[str] = []
|
||||
|
||||
async def node_a(state: State) -> State:
|
||||
called.append("node_a")
|
||||
return {"value": ["a"]}
|
||||
|
||||
async def ask_human(state: State) -> State:
|
||||
called.append("ask_human")
|
||||
answer = interrupt("What is your input?")
|
||||
return {"value": [f"human:{answer}"]}
|
||||
|
||||
async def node_b(state: State) -> State:
|
||||
called.append("node_b")
|
||||
return {"value": ["b"]}
|
||||
|
||||
graph = (
|
||||
StateGraph(State)
|
||||
.add_node("node_a", node_a)
|
||||
.add_node("ask_human", ask_human)
|
||||
.add_node("node_b", node_b)
|
||||
.add_edge(START, "node_a")
|
||||
.add_edge("node_a", "ask_human")
|
||||
.add_edge("ask_human", "node_b")
|
||||
.compile(checkpointer=async_checkpointer)
|
||||
)
|
||||
|
||||
config = {"configurable": {"thread_id": "1"}}
|
||||
|
||||
# --- Original run: invoke until interrupt, then resume to complete ---
|
||||
await graph.ainvoke({"value": []}, config)
|
||||
await graph.ainvoke(Command(resume="old_answer"), config)
|
||||
|
||||
original_history = [s async for s in graph.aget_state_history(config)]
|
||||
original = _checkpoint_summary(original_history)
|
||||
assert [(s["source"], s["next"], s["values"]) for s in original] == [
|
||||
("loop", (), {"value": ["a", "human:old_answer", "b"]}),
|
||||
("loop", ("node_b",), {"value": ["a", "human:old_answer"]}),
|
||||
("loop", ("ask_human",), {"value": ["a"]}),
|
||||
("loop", ("node_a",), {"value": []}),
|
||||
("input", ("__start__",), {"value": []}),
|
||||
]
|
||||
|
||||
# --- Replay from checkpoint before ask_human ---
|
||||
before_ask = next(s for s in original_history if s.next == ("ask_human",))
|
||||
|
||||
called.clear()
|
||||
replay_result = await graph.ainvoke(None, before_ask.config)
|
||||
assert replay_result["__interrupt__"][0].value == "What is your input?"
|
||||
assert "ask_human" in called
|
||||
assert "node_a" not in called
|
||||
|
||||
# A fork checkpoint is now the latest
|
||||
post_replay = _checkpoint_summary(
|
||||
[s async for s in graph.aget_state_history(config)]
|
||||
)
|
||||
assert [(s["source"], s["next"]) for s in post_replay] == [
|
||||
("fork", ("ask_human",)),
|
||||
("loop", ()),
|
||||
("loop", ("node_b",)),
|
||||
("loop", ("ask_human",)),
|
||||
("loop", ("node_a",)),
|
||||
("input", ("__start__",)),
|
||||
]
|
||||
|
||||
# --- Resume with a new answer ---
|
||||
called.clear()
|
||||
final_result = await graph.ainvoke(Command(resume="new_answer"), config)
|
||||
assert final_result["value"] == ["a", "human:new_answer", "b"]
|
||||
assert "ask_human" in called
|
||||
assert "node_b" in called
|
||||
|
||||
final = _checkpoint_summary([s async for s in graph.aget_state_history(config)])
|
||||
assert [(s["source"], s["next"], s["values"]) for s in final] == [
|
||||
# New branch (from fork)
|
||||
("loop", (), {"value": ["a", "human:new_answer", "b"]}),
|
||||
("loop", ("node_b",), {"value": ["a", "human:new_answer"]}),
|
||||
("fork", ("ask_human",), {"value": ["a"]}),
|
||||
# Original branch (preserved)
|
||||
("loop", (), {"value": ["a", "human:old_answer", "b"]}),
|
||||
("loop", ("node_b",), {"value": ["a", "human:old_answer"]}),
|
||||
("loop", ("ask_human",), {"value": ["a"]}),
|
||||
("loop", ("node_a",), {"value": []}),
|
||||
("input", ("__start__",), {"value": []}),
|
||||
]
|
||||
|
||||
|
||||
@NEEDS_CONTEXTVARS
|
||||
async def test_subgraph_time_travel_resume_from_first_interrupt_async(
|
||||
async_checkpointer: BaseCheckpointSaver,
|
||||
) -> None:
|
||||
"""Time travel to a subgraph checkpoint at the first interrupt, then
|
||||
resume through both interrupts with new answers.
|
||||
|
||||
Parent: START --> executor (subgraph, checkpointer=True) --> END
|
||||
Executor: START --> step_a --> ask_1 (interrupt) --> ask_2 (interrupt) --> END
|
||||
"""
|
||||
|
||||
called: list[str] = []
|
||||
|
||||
async def step_a(state: State) -> State:
|
||||
called.append("step_a")
|
||||
return {"value": ["step_a_done"]}
|
||||
|
||||
async def ask_1(state: State) -> State:
|
||||
called.append("ask_1")
|
||||
answer = interrupt("Question 1?")
|
||||
return {"value": [f"ask_1:{answer}"]}
|
||||
|
||||
async def ask_2(state: State) -> State:
|
||||
called.append("ask_2")
|
||||
answer = interrupt("Question 2?")
|
||||
return {"value": [f"ask_2:{answer}"]}
|
||||
|
||||
executor = (
|
||||
StateGraph(State)
|
||||
.add_node("step_a", step_a)
|
||||
.add_node("ask_1", ask_1)
|
||||
.add_node("ask_2", ask_2)
|
||||
.add_edge(START, "step_a")
|
||||
.add_edge("step_a", "ask_1")
|
||||
.add_edge("ask_1", "ask_2")
|
||||
.add_edge("ask_2", "__end__")
|
||||
.compile(checkpointer=True)
|
||||
)
|
||||
|
||||
graph = (
|
||||
StateGraph(State)
|
||||
.add_node("executor", executor)
|
||||
.add_edge(START, "executor")
|
||||
.compile(checkpointer=async_checkpointer)
|
||||
)
|
||||
|
||||
config = {"configurable": {"thread_id": "1"}}
|
||||
|
||||
# --- Original run: hit both interrupts and resume ---
|
||||
await graph.ainvoke({"value": []}, config)
|
||||
sub_config_at_first = (
|
||||
(await graph.aget_state(config, subgraphs=True)).tasks[0].state.config
|
||||
)
|
||||
await graph.ainvoke(Command(resume="answer_1"), config)
|
||||
await graph.ainvoke(Command(resume="answer_2"), config)
|
||||
|
||||
original = _checkpoint_summary([s async for s in graph.aget_state_history(config)])
|
||||
assert [(s["source"], s["next"], s["values"]) for s in original] == [
|
||||
("loop", (), {"value": ["step_a_done", "ask_1:answer_1", "ask_2:answer_2"]}),
|
||||
("loop", ("executor",), {"value": []}),
|
||||
("input", ("__start__",), {"value": []}),
|
||||
]
|
||||
|
||||
# --- Time travel to first interrupt's subgraph checkpoint ---
|
||||
called.clear()
|
||||
replay_result = await graph.ainvoke(None, sub_config_at_first)
|
||||
assert replay_result["__interrupt__"][0].value == "Question 1?"
|
||||
assert "step_a" not in called
|
||||
|
||||
# Fork is now the latest parent checkpoint
|
||||
post_tt = _checkpoint_summary([s async for s in graph.aget_state_history(config)])
|
||||
assert [(s["source"], s["next"]) for s in post_tt] == [
|
||||
("fork", ("executor",)), # <-- new fork (latest)
|
||||
("loop", ()), # original done
|
||||
("loop", ("executor",)),
|
||||
("input", ("__start__",)),
|
||||
]
|
||||
|
||||
# --- Resume both interrupts with new answers ---
|
||||
called.clear()
|
||||
resume_1 = await graph.ainvoke(Command(resume="new_answer_1"), config)
|
||||
assert resume_1["__interrupt__"][0].value == "Question 2?"
|
||||
assert "ask_1" in called
|
||||
|
||||
called.clear()
|
||||
resume_2 = await graph.ainvoke(Command(resume="new_answer_2"), config)
|
||||
assert resume_2["value"] == [
|
||||
"step_a_done",
|
||||
"ask_1:new_answer_1",
|
||||
"ask_2:new_answer_2",
|
||||
]
|
||||
|
||||
# Verify final history: original branch preserved, new branch appended
|
||||
final = _checkpoint_summary([s async for s in graph.aget_state_history(config)])
|
||||
assert [(s["source"], s["next"], s["values"]) for s in final] == [
|
||||
# New branch (from time travel fork)
|
||||
(
|
||||
"loop",
|
||||
(),
|
||||
{"value": ["step_a_done", "ask_1:new_answer_1", "ask_2:new_answer_2"]},
|
||||
),
|
||||
("fork", ("executor",), {"value": []}),
|
||||
# Original branch (preserved)
|
||||
("loop", (), {"value": ["step_a_done", "ask_1:answer_1", "ask_2:answer_2"]}),
|
||||
("loop", ("executor",), {"value": []}),
|
||||
("input", ("__start__",), {"value": []}),
|
||||
]
|
||||
|
||||
|
||||
@NEEDS_CONTEXTVARS
|
||||
async def test_subgraph_time_travel_resume_from_second_interrupt_async(
|
||||
async_checkpointer: BaseCheckpointSaver,
|
||||
) -> None:
|
||||
"""Time travel to a subgraph checkpoint at the second interrupt, then
|
||||
resume with a new answer. The first interrupt's answer should be preserved.
|
||||
|
||||
Parent: START --> executor (subgraph, checkpointer=True) --> END
|
||||
Executor: START --> step_a --> ask_1 (interrupt) --> ask_2 (interrupt) --> END
|
||||
"""
|
||||
|
||||
called: list[str] = []
|
||||
|
||||
async def step_a(state: State) -> State:
|
||||
called.append("step_a")
|
||||
return {"value": ["step_a_done"]}
|
||||
|
||||
async def ask_1(state: State) -> State:
|
||||
called.append("ask_1")
|
||||
answer = interrupt("Question 1?")
|
||||
return {"value": [f"ask_1:{answer}"]}
|
||||
|
||||
async def ask_2(state: State) -> State:
|
||||
called.append("ask_2")
|
||||
answer = interrupt("Question 2?")
|
||||
return {"value": [f"ask_2:{answer}"]}
|
||||
|
||||
executor = (
|
||||
StateGraph(State)
|
||||
.add_node("step_a", step_a)
|
||||
.add_node("ask_1", ask_1)
|
||||
.add_node("ask_2", ask_2)
|
||||
.add_edge(START, "step_a")
|
||||
.add_edge("step_a", "ask_1")
|
||||
.add_edge("ask_1", "ask_2")
|
||||
.add_edge("ask_2", "__end__")
|
||||
.compile(checkpointer=True)
|
||||
)
|
||||
|
||||
graph = (
|
||||
StateGraph(State)
|
||||
.add_node("executor", executor)
|
||||
.add_edge(START, "executor")
|
||||
.compile(checkpointer=async_checkpointer)
|
||||
)
|
||||
|
||||
config = {"configurable": {"thread_id": "1"}}
|
||||
|
||||
# --- Original run: hit both interrupts and resume ---
|
||||
await graph.ainvoke({"value": []}, config)
|
||||
await graph.ainvoke(Command(resume="answer_1"), config)
|
||||
sub_config_at_second = (
|
||||
(await graph.aget_state(config, subgraphs=True)).tasks[0].state.config
|
||||
)
|
||||
await graph.ainvoke(Command(resume="answer_2"), config)
|
||||
|
||||
original = _checkpoint_summary([s async for s in graph.aget_state_history(config)])
|
||||
assert [(s["source"], s["next"], s["values"]) for s in original] == [
|
||||
("loop", (), {"value": ["step_a_done", "ask_1:answer_1", "ask_2:answer_2"]}),
|
||||
("loop", ("executor",), {"value": []}),
|
||||
("input", ("__start__",), {"value": []}),
|
||||
]
|
||||
|
||||
# --- Time travel to second interrupt ---
|
||||
called.clear()
|
||||
replay_result = await graph.ainvoke(None, sub_config_at_second)
|
||||
assert replay_result["__interrupt__"][0].value == "Question 2?"
|
||||
assert "step_a" not in called
|
||||
assert "ask_1" not in called
|
||||
|
||||
# Fork is now the latest parent checkpoint
|
||||
post_tt = _checkpoint_summary([s async for s in graph.aget_state_history(config)])
|
||||
assert [(s["source"], s["next"]) for s in post_tt] == [
|
||||
("fork", ("executor",)), # <-- new fork (latest)
|
||||
("loop", ()), # original done
|
||||
("loop", ("executor",)),
|
||||
("input", ("__start__",)),
|
||||
]
|
||||
|
||||
# --- Resume with a new answer for ask_2 only ---
|
||||
called.clear()
|
||||
resume_result = await graph.ainvoke(Command(resume="new_answer_2"), config)
|
||||
assert resume_result["value"] == [
|
||||
"step_a_done",
|
||||
"ask_1:answer_1",
|
||||
"ask_2:new_answer_2",
|
||||
]
|
||||
|
||||
# Verify final history
|
||||
final = _checkpoint_summary([s async for s in graph.aget_state_history(config)])
|
||||
assert [(s["source"], s["next"], s["values"]) for s in final] == [
|
||||
# New branch (from time travel fork)
|
||||
(
|
||||
"loop",
|
||||
(),
|
||||
{"value": ["step_a_done", "ask_1:answer_1", "ask_2:new_answer_2"]},
|
||||
),
|
||||
("fork", ("executor",), {"value": []}),
|
||||
# Original branch (preserved)
|
||||
("loop", (), {"value": ["step_a_done", "ask_1:answer_1", "ask_2:answer_2"]}),
|
||||
("loop", ("executor",), {"value": []}),
|
||||
("input", ("__start__",), {"value": []}),
|
||||
]
|
||||
|
||||
|
||||
@NEEDS_CONTEXTVARS
|
||||
async def test_subgraph_time_travel_checkpoint_pattern_async(
|
||||
async_checkpointer: BaseCheckpointSaver,
|
||||
) -> None:
|
||||
"""Verify the checkpoint pattern created by time travel to a subgraph
|
||||
interrupt. A fork checkpoint should branch from the replay point.
|
||||
|
||||
Parent: START --> executor (subgraph, checkpointer=True) --> END
|
||||
Executor: START --> ask (interrupt) --> END
|
||||
"""
|
||||
|
||||
async def ask(state: State) -> State:
|
||||
answer = interrupt("Q?")
|
||||
return {"value": [f"a:{answer}"]}
|
||||
|
||||
executor = (
|
||||
StateGraph(State)
|
||||
.add_node("ask", ask)
|
||||
.add_edge(START, "ask")
|
||||
.compile(checkpointer=True)
|
||||
)
|
||||
|
||||
graph = (
|
||||
StateGraph(State)
|
||||
.add_node("executor", executor)
|
||||
.add_edge(START, "executor")
|
||||
.compile(checkpointer=async_checkpointer)
|
||||
)
|
||||
|
||||
config = {"configurable": {"thread_id": "1"}}
|
||||
|
||||
# Run until interrupt, then complete
|
||||
await graph.ainvoke({"value": []}, config)
|
||||
sub_config = (await graph.aget_state(config, subgraphs=True)).tasks[0].state.config
|
||||
await graph.ainvoke(Command(resume="first"), config)
|
||||
|
||||
original = _checkpoint_summary([s async for s in graph.aget_state_history(config)])
|
||||
assert [(s["source"], s["next"], s["values"]) for s in original] == [
|
||||
("loop", (), {"value": ["a:first"]}),
|
||||
("loop", ("executor",), {"value": []}),
|
||||
("input", ("__start__",), {"value": []}),
|
||||
]
|
||||
|
||||
# Time travel to the interrupt
|
||||
await graph.ainvoke(None, sub_config)
|
||||
|
||||
# Fork is now the latest, branching from the original replay point
|
||||
post_tt = [s async for s in graph.aget_state_history(config)]
|
||||
post_tt_summary = _checkpoint_summary(post_tt)
|
||||
assert [(s["source"], s["next"]) for s in post_tt_summary] == [
|
||||
("fork", ("executor",)), # <-- new fork (latest)
|
||||
("loop", ()),
|
||||
("loop", ("executor",)), # <-- replay point / fork parent
|
||||
("input", ("__start__",)),
|
||||
]
|
||||
# Verify the fork's parent is the original replay point
|
||||
replay_point_id = sub_config["configurable"]["checkpoint_map"][""]
|
||||
assert post_tt[0].parent_config["configurable"]["checkpoint_id"] == replay_point_id
|
||||
|
||||
# Resume from the fork
|
||||
result = await graph.ainvoke(Command(resume="second"), config)
|
||||
assert result["value"] == ["a:second"]
|
||||
|
||||
final = _checkpoint_summary([s async for s in graph.aget_state_history(config)])
|
||||
assert [(s["source"], s["next"], s["values"]) for s in final] == [
|
||||
# New branch
|
||||
("loop", (), {"value": ["a:second"]}),
|
||||
("fork", ("executor",), {"value": []}),
|
||||
# Original branch
|
||||
("loop", (), {"value": ["a:first"]}),
|
||||
("loop", ("executor",), {"value": []}),
|
||||
("input", ("__start__",), {"value": []}),
|
||||
]
|
||||
|
||||
|
||||
@NEEDS_CONTEXTVARS
|
||||
async def test_3_levels_deep_time_travel_to_first_interrupt_async(
|
||||
async_checkpointer: BaseCheckpointSaver,
|
||||
@@ -2481,15 +2088,13 @@ async def test_replay_creates_branch_preserving_old_checkpoints(
|
||||
# -- Post-replay checkpoint history (newest first) --
|
||||
post_replay_history = [s async for s in graph.aget_state_history(config)]
|
||||
post_summary = _checkpoint_summary(post_replay_history)
|
||||
# 5 original + 1 fork + 2 new branch checkpoints = 8
|
||||
assert len(post_summary) == 8
|
||||
assert len(post_summary) == 7 # 5 original + 2 new branch checkpoints
|
||||
|
||||
assert [s["next"] for s in post_summary] == [
|
||||
(), # new branch tip
|
||||
("node_c",), # new branch
|
||||
("node_b",), # fork from replay point
|
||||
(), # old branch tip
|
||||
("node_c",), # old
|
||||
(), # new branch tip (C6)
|
||||
("node_c",), # new branch (C5)
|
||||
(), # old branch tip (C4)
|
||||
("node_c",), # old (C3)
|
||||
("node_b",), # branch point (C2)
|
||||
("node_a",), # old (C1)
|
||||
("__start__",), # old (C0)
|
||||
@@ -2497,7 +2102,6 @@ async def test_replay_creates_branch_preserving_old_checkpoints(
|
||||
assert [s["values"] for s in post_summary] == [
|
||||
{"value": ["a", "b2", "c"]}, # new branch tip
|
||||
{"value": ["a", "b2"]}, # new: node_b re-ran with call_count=2
|
||||
{"value": ["a"]}, # fork from replay point
|
||||
{"value": ["a", "b1", "c"]}, # old branch tip preserved
|
||||
{"value": ["a", "b1"]}, # old
|
||||
{"value": ["a"]}, # branch point
|
||||
|
||||
@@ -11,19 +11,13 @@ from typing import (
|
||||
TypeVar,
|
||||
Union,
|
||||
)
|
||||
from unittest.mock import MagicMock, patch
|
||||
from unittest.mock import patch
|
||||
|
||||
import langsmith
|
||||
import pytest
|
||||
from langchain_core.runnables import RunnableConfig
|
||||
from langchain_core.tracers import LangChainTracer
|
||||
from typing_extensions import NotRequired, Required, TypedDict
|
||||
|
||||
from langgraph._internal._config import (
|
||||
_is_not_empty,
|
||||
ensure_config,
|
||||
get_callback_manager_for_config,
|
||||
)
|
||||
from langgraph._internal._config import _is_not_empty, ensure_config
|
||||
from langgraph._internal._fields import (
|
||||
_is_optional_type,
|
||||
get_enhanced_type_hints,
|
||||
@@ -304,7 +298,7 @@ def test_is_not_empty() -> None:
|
||||
assert not _is_not_empty({})
|
||||
|
||||
|
||||
def test_configurable_metadata() -> None:
|
||||
def test_configurable_metadata():
|
||||
config = {
|
||||
"configurable": {
|
||||
"a-key": "foo",
|
||||
@@ -315,115 +309,11 @@ def test_configurable_metadata() -> None:
|
||||
"andme": 42,
|
||||
"nested": {"foo": "bar"},
|
||||
"nooverride": -2,
|
||||
"thread_id": "th-123",
|
||||
"checkpoint_id": "ckpt-1",
|
||||
"checkpoint_ns": "ns-1",
|
||||
"task_id": "task-1",
|
||||
"run_id": "run-456",
|
||||
"assistant_id": "asst-789",
|
||||
"graph_id": "graph-0",
|
||||
"model": "gpt-4o",
|
||||
"user_id": "uid-1",
|
||||
"cron_id": "cron-1",
|
||||
"langgraph_auth_user_id": "user-1",
|
||||
},
|
||||
"metadata": {"nooverride": 18},
|
||||
}
|
||||
expected = {"includeme", "andme", "nooverride"}
|
||||
merged = ensure_config(config)
|
||||
metadata = merged["metadata"]
|
||||
assert set(metadata) == {
|
||||
"nooverride",
|
||||
"assistant_id",
|
||||
"thread_id",
|
||||
"checkpoint_id",
|
||||
"run_id",
|
||||
"graph_id",
|
||||
"checkpoint_ns",
|
||||
"task_id",
|
||||
}
|
||||
assert metadata.keys() == expected
|
||||
assert metadata["nooverride"] == 18
|
||||
|
||||
|
||||
def test_callback_manager_copies_whitelisted_configurable_ids_to_metadata() -> None:
|
||||
config = {
|
||||
"configurable": {
|
||||
"thread_id": "th-123",
|
||||
"checkpoint_id": "ckpt-1",
|
||||
"checkpoint_ns": "ns-1",
|
||||
"task_id": "task-1",
|
||||
"run_id": "run-456",
|
||||
"assistant_id": "asst-789",
|
||||
"graph_id": "graph-0",
|
||||
"model": "gpt-4o",
|
||||
"user_id": "uid-1",
|
||||
"cron_id": "cron-1",
|
||||
"langgraph_auth_user_id": "user-1",
|
||||
},
|
||||
"metadata": {
|
||||
"thread_id": "from-metadata",
|
||||
"nooverride": 18,
|
||||
},
|
||||
}
|
||||
manager = ensure_config(config)
|
||||
callback_manager = get_callback_manager_for_config(manager)
|
||||
assert callback_manager.metadata == {
|
||||
"thread_id": "from-metadata",
|
||||
"nooverride": 18,
|
||||
"checkpoint_id": "ckpt-1",
|
||||
"checkpoint_ns": "ns-1",
|
||||
"task_id": "task-1",
|
||||
"run_id": "run-456",
|
||||
"assistant_id": "asst-789",
|
||||
"graph_id": "graph-0",
|
||||
}
|
||||
|
||||
|
||||
def test_callback_manager_copies_configurable_ids_to_tracing_metadata() -> None:
|
||||
tracer = LangChainTracer(client=MagicMock())
|
||||
config: RunnableConfig = {
|
||||
"configurable": {
|
||||
"thread_id": "th-123",
|
||||
"checkpoint_id": "ckpt-1",
|
||||
"checkpoint_ns": "ns-1",
|
||||
"task_id": "task-1",
|
||||
"run_id": "run-456",
|
||||
"assistant_id": "asst-789",
|
||||
"graph_id": "graph-0",
|
||||
"model": "gpt-4o",
|
||||
"user_id": "uid-1",
|
||||
"cron_id": "cron-1",
|
||||
"langgraph_auth_user_id": "user-1",
|
||||
"includeme": "hi",
|
||||
"andme": 42,
|
||||
"__dontinclude": "bar",
|
||||
"some_api_key": "secret",
|
||||
"custom_setting": {"nested": True},
|
||||
},
|
||||
"metadata": {
|
||||
"thread_id": "from-metadata",
|
||||
"user_id": "from-metadata-user",
|
||||
"includeme": "from-metadata",
|
||||
},
|
||||
"callbacks": [tracer],
|
||||
}
|
||||
|
||||
manager = ensure_config(config)
|
||||
callback_manager = get_callback_manager_for_config(manager)
|
||||
handlers = callback_manager.handlers
|
||||
tracers = [handler for handler in handlers if isinstance(handler, LangChainTracer)]
|
||||
assert len(tracers) == 1
|
||||
tracer = tracers[0]
|
||||
assert tracer.tracing_metadata == {
|
||||
"checkpoint_id": "ckpt-1",
|
||||
"checkpoint_ns": "ns-1",
|
||||
"task_id": "task-1",
|
||||
"run_id": "run-456",
|
||||
"assistant_id": "asst-789",
|
||||
"graph_id": "graph-0",
|
||||
"model": "gpt-4o",
|
||||
"cron_id": "cron-1",
|
||||
"andme": 42,
|
||||
"includeme": "hi",
|
||||
"thread_id": "th-123",
|
||||
"user_id": "uid-1",
|
||||
}
|
||||
|
||||
Generated
+12
-13
@@ -1348,7 +1348,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langchain-core"
|
||||
version = "1.3.0"
|
||||
version = "1.2.22"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "jsonpatch" },
|
||||
@@ -1360,14 +1360,14 @@ dependencies = [
|
||||
{ name = "typing-extensions" },
|
||||
{ name = "uuid-utils" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/92/fe/20190232d9b513242899dbb0c2bb77e31b4d61e343743adbe90ebc2603d2/langchain_core-1.3.0.tar.gz", hash = "sha256:14a39f528bf459aa3aa40d0a7f7f1bae7520d435ef991ae14a4ceb74d8c49046", size = 860755, upload-time = "2026-04-17T14:51:38.298Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/b1/a3/c4cd6827a1df46c821e7214b7f7b7a28b189e6c9b84ef15c6d629c5e3179/langchain_core-1.2.22.tar.gz", hash = "sha256:8d8f726d03d3652d403da915126626bb6250747e8ba406537d849e68b9f5d058", size = 842487, upload-time = "2026-03-24T18:48:44.9Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/f8/e2/dbfa347aa072a6dc4cd38d6f9ebfc730b4c14c258c47f480f4c5c546f177/langchain_core-1.3.0-py3-none-any.whl", hash = "sha256:baf16ee028475df177b9ab8869a751c79406d64a6f12125b93802991b566cced", size = 515140, upload-time = "2026-04-17T14:51:36.274Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/c7/a6/2ffacf0f1a3788f250e75d0b52a24896c413be11be3a6d42bcdf46fbea48/langchain_core-1.2.22-py3-none-any.whl", hash = "sha256:7e30d586b75918e828833b9ec1efc25465723566845dd652c277baf751e9c04b", size = 506829, upload-time = "2026-03-24T18:48:43.286Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "langgraph"
|
||||
version = "1.1.7"
|
||||
version = "1.1.7a1"
|
||||
source = { editable = "." }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
@@ -1439,7 +1439,7 @@ test = [
|
||||
|
||||
[package.metadata]
|
||||
requires-dist = [
|
||||
{ name = "langchain-core", specifier = ">=1.3.0,<2" },
|
||||
{ name = "langchain-core", specifier = ">=0.1" },
|
||||
{ name = "langgraph-checkpoint", editable = "../checkpoint" },
|
||||
{ name = "langgraph-prebuilt", editable = "../prebuilt" },
|
||||
{ name = "langgraph-sdk", editable = "../sdk-py" },
|
||||
@@ -1548,7 +1548,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-checkpoint"
|
||||
version = "4.0.2"
|
||||
version = "4.0.1"
|
||||
source = { editable = "../checkpoint" }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
@@ -1852,7 +1852,7 @@ test = [
|
||||
|
||||
[[package]]
|
||||
name = "langsmith"
|
||||
version = "0.7.31"
|
||||
version = "0.6.4"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "httpx" },
|
||||
@@ -1862,12 +1862,11 @@ dependencies = [
|
||||
{ name = "requests" },
|
||||
{ name = "requests-toolbelt" },
|
||||
{ name = "uuid-utils" },
|
||||
{ name = "xxhash" },
|
||||
{ name = "zstandard" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/e6/11/696019490992db5c87774dc20515529ef42a01e1d770fb754ed6d9b12fb0/langsmith-0.7.31.tar.gz", hash = "sha256:331ee4f7c26bb5be4022b9859b7d7b122cbf8c9d01d9f530114c1914b0349ffb", size = 1178480, upload-time = "2026-04-14T17:55:41.242Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/e7/85/9c7933052a997da1b85bc5c774f3865e9b1da1c8d71541ea133178b13229/langsmith-0.6.4.tar.gz", hash = "sha256:36f7223a01c218079fbb17da5e536ebbaf5c1468c028abe070aa3ae59bc99ec8", size = 919964, upload-time = "2026-01-15T20:02:28.873Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/1d/a1/a013cf458c301cda86a213dd153ce0a01c93f1ab5833f951e6a44c9763ce/langsmith-0.7.31-py3-none-any.whl", hash = "sha256:0291d49203f6e80dda011af1afda61eb0595a4d697adb684590a8805e1d61fb6", size = 373276, upload-time = "2026-04-14T17:55:39.677Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/66/0f/09a6637a7ba777eb307b7c80852d9ee26438e2bdafbad6fcc849ff9d9192/langsmith-0.6.4-py3-none-any.whl", hash = "sha256:ac4835860160be371042c7adbba3cb267bcf8d96a5ea976c33a8a4acad6c5486", size = 283503, upload-time = "2026-01-15T20:02:26.662Z" },
|
||||
]
|
||||
|
||||
[package.optional-dependencies]
|
||||
@@ -2906,7 +2905,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "pytest"
|
||||
version = "9.0.3"
|
||||
version = "9.0.2"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "colorama", marker = "sys_platform == 'win32'" },
|
||||
@@ -2917,9 +2916,9 @@ dependencies = [
|
||||
{ name = "pygments" },
|
||||
{ name = "tomli", marker = "python_full_version < '3.11'" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/7d/0d/549bd94f1a0a402dc8cf64563a117c0f3765662e2e668477624baeec44d5/pytest-9.0.3.tar.gz", hash = "sha256:b86ada508af81d19edeb213c681b1d48246c1a91d304c6c81a427674c17eb91c", size = 1572165, upload-time = "2026-04-07T17:16:18.027Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/d1/db/7ef3487e0fb0049ddb5ce41d3a49c235bf9ad299b6a25d5780a89f19230f/pytest-9.0.2.tar.gz", hash = "sha256:75186651a92bd89611d1d9fc20f0b4345fd827c41ccd5c299a868a05d70edf11", size = 1568901, upload-time = "2025-12-06T21:30:51.014Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/d4/24/a372aaf5c9b7208e7112038812994107bc65a84cd00e0354a88c2c77a617/pytest-9.0.3-py3-none-any.whl", hash = "sha256:2c5efc453d45394fdd706ade797c0a81091eccd1d6e4bccfcd476e2b8e0ab5d9", size = 375249, upload-time = "2026-04-07T17:16:16.13Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/3b/ab/b3226f0bd7cdcf710fbede2b3548584366da3b19b5021e74f5bde2a8fa3f/pytest-9.0.2-py3-none-any.whl", hash = "sha256:711ffd45bf766d5264d487b917733b453d917afd2b0ad65223959f59089f875b", size = 374801, upload-time = "2025-12-06T21:30:49.154Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
||||
@@ -614,7 +614,6 @@ class _InjectedArgs:
|
||||
store: str | None
|
||||
runtime: str | None
|
||||
all_injected_keys: set[str]
|
||||
_optional_state_args: set[str]
|
||||
|
||||
|
||||
class ToolNode(RunnableCallable):
|
||||
@@ -1334,7 +1333,7 @@ class ToolNode(RunnableCallable):
|
||||
return tool_call
|
||||
|
||||
tool_call_copy: ToolCall = copy(tool_call)
|
||||
injected_args: dict[str, Any] = {}
|
||||
injected_args = {}
|
||||
|
||||
# Inject state
|
||||
if injected.state:
|
||||
@@ -1362,20 +1361,14 @@ class ToolNode(RunnableCallable):
|
||||
# Extract state values
|
||||
if isinstance(state, dict):
|
||||
for tool_arg, state_field in injected.state.items():
|
||||
if not state_field:
|
||||
injected_args[tool_arg] = state
|
||||
elif state_field in state:
|
||||
injected_args[tool_arg] = state[state_field]
|
||||
elif tool_arg not in injected._optional_state_args:
|
||||
raise KeyError(state_field)
|
||||
injected_args[tool_arg] = (
|
||||
state[state_field] if state_field else state
|
||||
)
|
||||
else:
|
||||
for tool_arg, state_field in injected.state.items():
|
||||
if not state_field:
|
||||
injected_args[tool_arg] = state
|
||||
elif hasattr(state, state_field):
|
||||
injected_args[tool_arg] = getattr(state, state_field)
|
||||
elif tool_arg not in injected._optional_state_args:
|
||||
raise AttributeError(state_field)
|
||||
injected_args[tool_arg] = (
|
||||
getattr(state, state_field) if state_field else state
|
||||
)
|
||||
|
||||
# Inject store
|
||||
if injected.store:
|
||||
@@ -1866,7 +1859,6 @@ def _get_all_injected_args(tool: BaseTool) -> _InjectedArgs:
|
||||
store_arg: str | None = None
|
||||
runtime_arg: str | None = None
|
||||
all_injected_keys: set[str] = set()
|
||||
_optional_state_args: set[str] = set()
|
||||
|
||||
for name, type_ in all_annotations.items():
|
||||
# Track all InjectedToolArg-annotated params (including custom subclasses)
|
||||
@@ -1881,9 +1873,6 @@ def _get_all_injected_args(tool: BaseTool) -> _InjectedArgs:
|
||||
if state_inj := _get_injection_from_type(type_, InjectedState):
|
||||
if isinstance(state_inj, InjectedState) and state_inj.field:
|
||||
state_args[name] = state_inj.field
|
||||
field_info = full_schema.model_fields.get(name)
|
||||
if field_info and not field_info.is_required():
|
||||
_optional_state_args.add(name)
|
||||
else:
|
||||
state_args[name] = None
|
||||
|
||||
@@ -1900,5 +1889,4 @@ def _get_all_injected_args(tool: BaseTool) -> _InjectedArgs:
|
||||
store=store_arg,
|
||||
runtime=runtime_arg,
|
||||
all_injected_keys=all_injected_keys,
|
||||
_optional_state_args=_optional_state_args,
|
||||
)
|
||||
|
||||
@@ -1,284 +0,0 @@
|
||||
"""Test InjectedState with NotRequired state fields.
|
||||
|
||||
This tests the fix for https://github.com/langchain-ai/langchain/issues/35585
|
||||
|
||||
When using InjectedState(<field>) on a tool parameter, and the referenced field is
|
||||
declared as NotRequired in the custom state schema, the ToolNode should gracefully
|
||||
handle missing fields by injecting None instead of raising KeyError.
|
||||
"""
|
||||
|
||||
import sys
|
||||
from typing import Annotated
|
||||
|
||||
import pytest
|
||||
from langchain_core.messages import AIMessage, AnyMessage, HumanMessage, ToolMessage
|
||||
from langchain_core.tools import tool
|
||||
from langgraph.graph.message import add_messages
|
||||
from pydantic import BaseModel, Field
|
||||
from typing_extensions import NotRequired
|
||||
|
||||
from langgraph.prebuilt import InjectedState, ToolNode, create_react_agent
|
||||
from langgraph.prebuilt.chat_agent_executor import AgentState
|
||||
|
||||
from .model import FakeToolCallingModel
|
||||
|
||||
|
||||
class CustomAgentStateWithNotRequired(AgentState):
|
||||
"""Custom state with a NotRequired field (TypedDict style)."""
|
||||
|
||||
city: NotRequired[str]
|
||||
|
||||
|
||||
class CustomAgentStatePydanticWithDefault(BaseModel):
|
||||
"""Custom state with Optional field and default (Pydantic style)."""
|
||||
|
||||
messages: Annotated[list[AnyMessage], add_messages]
|
||||
remaining_steps: int = Field(default=10)
|
||||
city: str | None = Field(default=None)
|
||||
|
||||
|
||||
@tool
|
||||
def get_weather(city: Annotated[str | None, InjectedState("city")] = None) -> str:
|
||||
"""Get weather for a given city."""
|
||||
if city is None:
|
||||
return "No city provided"
|
||||
return f"It's always sunny in {city}!"
|
||||
|
||||
|
||||
def _create_mock_runtime(
|
||||
state: dict | None = None,
|
||||
store=None,
|
||||
):
|
||||
"""Create a mock Runtime for testing ToolNode directly."""
|
||||
from unittest.mock import Mock
|
||||
|
||||
from langgraph.runtime import Runtime
|
||||
|
||||
mock_runtime = Mock(spec=Runtime)
|
||||
mock_runtime.context = {}
|
||||
return mock_runtime
|
||||
|
||||
|
||||
def _create_config_with_runtime(store=None, state=None):
|
||||
"""Create a RunnableConfig with mocked runtime for direct ToolNode testing."""
|
||||
from langgraph.prebuilt.tool_node import ToolRuntime
|
||||
|
||||
tool_runtime = ToolRuntime(
|
||||
state=state or {},
|
||||
config={},
|
||||
context={},
|
||||
store=store,
|
||||
stream_writer=None,
|
||||
tool_call_id="test_id",
|
||||
)
|
||||
return {
|
||||
"configurable": {
|
||||
"__pregel_runtime": _create_mock_runtime(),
|
||||
"__tool_runtime__": tool_runtime,
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@pytest.mark.skipif(
|
||||
sys.version_info < (3, 11),
|
||||
reason="InjectedState field extraction from Optional[Annotated[...]] not supported on Python <3.11",
|
||||
)
|
||||
def test_injected_state_not_required_field_missing_injects_none():
|
||||
"""Test that InjectedState with NotRequired field injects None when field is missing.
|
||||
|
||||
This verifies the fix for https://github.com/langchain-ai/langchain/issues/35585
|
||||
"""
|
||||
tool_node = ToolNode([get_weather])
|
||||
|
||||
tool_call = {
|
||||
"name": "get_weather",
|
||||
"args": {},
|
||||
"id": "call_1",
|
||||
"type": "tool_call",
|
||||
}
|
||||
ai_msg = AIMessage("Let me check the weather", tool_calls=[tool_call])
|
||||
|
||||
# State WITHOUT the "city" field - should inject None instead of raising KeyError
|
||||
state_without_city: CustomAgentStateWithNotRequired = {
|
||||
"messages": [HumanMessage("What's the weather?"), ai_msg],
|
||||
}
|
||||
|
||||
result = tool_node.invoke(
|
||||
state_without_city,
|
||||
config=_create_config_with_runtime(state=state_without_city),
|
||||
)
|
||||
|
||||
assert len(result["messages"]) == 1
|
||||
tool_msg = result["messages"][0]
|
||||
assert isinstance(tool_msg, ToolMessage)
|
||||
assert "No city provided" in tool_msg.content
|
||||
|
||||
|
||||
@pytest.mark.skipif(
|
||||
sys.version_info < (3, 11),
|
||||
reason="InjectedState field extraction from Optional[Annotated[...]] not supported on Python <3.11",
|
||||
)
|
||||
def test_injected_state_not_required_field_present_works():
|
||||
"""Test that InjectedState with NotRequired field works when field IS present."""
|
||||
tool_node = ToolNode([get_weather])
|
||||
|
||||
tool_call = {
|
||||
"name": "get_weather",
|
||||
"args": {},
|
||||
"id": "call_1",
|
||||
"type": "tool_call",
|
||||
}
|
||||
ai_msg = AIMessage("Let me check the weather", tool_calls=[tool_call])
|
||||
|
||||
# State WITH the "city" field - this should work
|
||||
state_with_city: CustomAgentStateWithNotRequired = {
|
||||
"messages": [HumanMessage("What's the weather?"), ai_msg],
|
||||
"city": "San Francisco",
|
||||
}
|
||||
|
||||
result = tool_node.invoke(
|
||||
state_with_city,
|
||||
config=_create_config_with_runtime(state=state_with_city),
|
||||
)
|
||||
|
||||
assert len(result["messages"]) == 1
|
||||
tool_msg = result["messages"][0]
|
||||
assert isinstance(tool_msg, ToolMessage)
|
||||
assert "San Francisco" in tool_msg.content
|
||||
|
||||
|
||||
@pytest.mark.skipif(
|
||||
sys.version_info < (3, 11),
|
||||
reason="InjectedState field extraction from Optional[Annotated[...]] not supported on Python <3.11",
|
||||
)
|
||||
def test_create_react_agent_injected_state_not_required_field_missing():
|
||||
"""Test create_react_agent with InjectedState using NotRequired field that is missing.
|
||||
|
||||
This verifies the fix for https://github.com/langchain-ai/langchain/issues/35585
|
||||
"""
|
||||
model = FakeToolCallingModel(
|
||||
tool_calls=[
|
||||
[{"name": "get_weather", "args": {}, "id": "call_1"}],
|
||||
[], # No more tool calls, agent should stop
|
||||
]
|
||||
)
|
||||
|
||||
agent = create_react_agent(
|
||||
model,
|
||||
tools=[get_weather],
|
||||
state_schema=CustomAgentStateWithNotRequired,
|
||||
)
|
||||
|
||||
# Invoke WITHOUT the city field - should work, injecting None
|
||||
result = agent.invoke(
|
||||
{"messages": [HumanMessage("What's the weather?")]},
|
||||
)
|
||||
|
||||
# Check that the tool was called successfully with None injected
|
||||
messages = result["messages"]
|
||||
tool_messages = [m for m in messages if isinstance(m, ToolMessage)]
|
||||
assert len(tool_messages) == 1
|
||||
assert "No city provided" in tool_messages[0].content
|
||||
|
||||
|
||||
@pytest.mark.skipif(
|
||||
sys.version_info < (3, 11),
|
||||
reason="InjectedState field extraction from Optional[Annotated[...]] not supported on Python <3.11",
|
||||
)
|
||||
def test_create_react_agent_injected_state_not_required_field_present():
|
||||
"""Test create_react_agent with InjectedState using NotRequired field that IS present."""
|
||||
model = FakeToolCallingModel(
|
||||
tool_calls=[
|
||||
[{"name": "get_weather", "args": {}, "id": "call_1"}],
|
||||
[], # No more tool calls, agent should stop
|
||||
]
|
||||
)
|
||||
|
||||
agent = create_react_agent(
|
||||
model,
|
||||
tools=[get_weather],
|
||||
state_schema=CustomAgentStateWithNotRequired,
|
||||
)
|
||||
|
||||
# Invoke WITH the city field
|
||||
result = agent.invoke(
|
||||
{
|
||||
"messages": [HumanMessage("What's the weather?")],
|
||||
"city": "San Francisco",
|
||||
},
|
||||
)
|
||||
|
||||
# Check that the tool was called successfully
|
||||
messages = result["messages"]
|
||||
tool_messages = [m for m in messages if isinstance(m, ToolMessage)]
|
||||
assert len(tool_messages) == 1
|
||||
assert "San Francisco" in tool_messages[0].content
|
||||
|
||||
|
||||
@tool
|
||||
def get_weather_optional(city: Annotated[str | None, InjectedState("city")]) -> str:
|
||||
"""Get weather for a given city (accepts None)."""
|
||||
if city is None:
|
||||
return "Please provide a city!"
|
||||
return f"It's always sunny in {city}!"
|
||||
|
||||
|
||||
def test_pydantic_state_with_default_field_missing_works():
|
||||
"""Test that Pydantic state with Optional field and default=None works when field is missing.
|
||||
|
||||
This is the workaround suggested in the issue comments - using Pydantic BaseModel
|
||||
with `city: Optional[str] = Field(default=None)` instead of TypedDict with NotRequired.
|
||||
"""
|
||||
model = FakeToolCallingModel(
|
||||
tool_calls=[
|
||||
[{"name": "get_weather_optional", "args": {}, "id": "call_1"}],
|
||||
[], # No more tool calls, agent should stop
|
||||
]
|
||||
)
|
||||
|
||||
agent = create_react_agent(
|
||||
model,
|
||||
tools=[get_weather_optional],
|
||||
state_schema=CustomAgentStatePydanticWithDefault,
|
||||
)
|
||||
|
||||
# Invoke WITHOUT the city field - should work because Pydantic provides default
|
||||
result = agent.invoke(
|
||||
{"messages": [HumanMessage("What's the weather?")]},
|
||||
)
|
||||
|
||||
# Check that the tool was called successfully with None
|
||||
messages = result["messages"]
|
||||
tool_messages = [m for m in messages if isinstance(m, ToolMessage)]
|
||||
assert len(tool_messages) == 1
|
||||
assert "Please provide a city!" in tool_messages[0].content
|
||||
|
||||
|
||||
def test_pydantic_state_with_default_field_present_works():
|
||||
"""Test that Pydantic state with Optional field works when field IS present."""
|
||||
model = FakeToolCallingModel(
|
||||
tool_calls=[
|
||||
[{"name": "get_weather_optional", "args": {}, "id": "call_1"}],
|
||||
[], # No more tool calls, agent should stop
|
||||
]
|
||||
)
|
||||
|
||||
agent = create_react_agent(
|
||||
model,
|
||||
tools=[get_weather_optional],
|
||||
state_schema=CustomAgentStatePydanticWithDefault,
|
||||
)
|
||||
|
||||
# Invoke WITH the city field
|
||||
result = agent.invoke(
|
||||
{
|
||||
"messages": [HumanMessage("What's the weather?")],
|
||||
"city": "San Francisco",
|
||||
},
|
||||
)
|
||||
|
||||
# Check that the tool was called successfully
|
||||
messages = result["messages"]
|
||||
tool_messages = [m for m in messages if isinstance(m, ToolMessage)]
|
||||
assert len(tool_messages) == 1
|
||||
assert "San Francisco" in tool_messages[0].content
|
||||
Generated
+12
-13
@@ -249,7 +249,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langchain-core"
|
||||
version = "1.3.0"
|
||||
version = "1.2.25"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "jsonpatch" },
|
||||
@@ -261,14 +261,14 @@ dependencies = [
|
||||
{ name = "typing-extensions" },
|
||||
{ name = "uuid-utils" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/92/fe/20190232d9b513242899dbb0c2bb77e31b4d61e343743adbe90ebc2603d2/langchain_core-1.3.0.tar.gz", hash = "sha256:14a39f528bf459aa3aa40d0a7f7f1bae7520d435ef991ae14a4ceb74d8c49046", size = 860755, upload-time = "2026-04-17T14:51:38.298Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/86/2a/d65de24fc9b7989137253da8973f850f3e39b4ce3e0377bc8200d6b3c189/langchain_core-1.2.25.tar.gz", hash = "sha256:77e032b96509d0eb1f6875042fdf97b7e2334a815314700c6894d9d078909b9c", size = 842347, upload-time = "2026-04-02T22:39:11.528Z" }
|
||||
wheels = [
|
||||
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||||
{ url = "https://files.pythonhosted.org/packages/3d/0e/7b31b0249f9b9b0fc7829d5b0ee484b8f8d43c78e376e9951e2ef3eac70c/langchain_core-1.2.25-py3-none-any.whl", hash = "sha256:0c05bf395aec6d2dfa14488fd006f7bcd0540e7e89287e04f92203532a82c828", size = 506866, upload-time = "2026-04-02T22:39:10.137Z" },
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||||
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|
||||
|
||||
[[package]]
|
||||
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|
||||
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|
||||
version = "1.1.7a1"
|
||||
source = { editable = "../langgraph" }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
@@ -281,7 +281,7 @@ dependencies = [
|
||||
|
||||
[package.metadata]
|
||||
requires-dist = [
|
||||
{ name = "langchain-core", specifier = ">=1.3.0,<2" },
|
||||
{ name = "langchain-core", specifier = ">=0.1" },
|
||||
{ name = "langgraph-checkpoint", editable = "../checkpoint" },
|
||||
{ name = "langgraph-prebuilt", editable = "." },
|
||||
{ name = "langgraph-sdk", editable = "../sdk-py" },
|
||||
@@ -352,7 +352,7 @@ test = [
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-checkpoint"
|
||||
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|
||||
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|
||||
source = { editable = "../checkpoint" }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
@@ -619,7 +619,7 @@ test = [
|
||||
|
||||
[[package]]
|
||||
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||||
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||||
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||||
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{ name = "httpx" },
|
||||
@@ -629,12 +629,11 @@ dependencies = [
|
||||
{ name = "requests" },
|
||||
{ name = "requests-toolbelt" },
|
||||
{ name = "uuid-utils" },
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wheels = [
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|
||||
|
||||
[[package]]
|
||||
@@ -1183,7 +1182,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "pytest"
|
||||
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||||
version = "9.0.2"
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dependencies = [
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{ name = "colorama", marker = "sys_platform == 'win32'" },
|
||||
@@ -1194,9 +1193,9 @@ dependencies = [
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{ name = "pygments" },
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{ name = "tomli", marker = "python_full_version < '3.11'" },
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wheels = [
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{ url = "https://files.pythonhosted.org/packages/3b/ab/b3226f0bd7cdcf710fbede2b3548584366da3b19b5021e74f5bde2a8fa3f/pytest-9.0.2-py3-none-any.whl", hash = "sha256:711ffd45bf766d5264d487b917733b453d917afd2b0ad65223959f59089f875b", size = 374801, upload-time = "2025-12-06T21:30:49.154Z" },
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|
||||
|
||||
[[package]]
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||||
|
||||
Generated
+12
-12
@@ -262,7 +262,7 @@ wheels = [
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||||
|
||||
[[package]]
|
||||
name = "langchain-core"
|
||||
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version = "1.2.28"
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||||
source = { registry = "https://pypi.org/simple" }
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||||
dependencies = [
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{ name = "jsonpatch" },
|
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@@ -274,14 +274,14 @@ dependencies = [
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{ name = "typing-extensions" },
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{ name = "uuid-utils" },
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]
|
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wheels = [
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{ 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" },
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|
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|
||||
[[package]]
|
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name = "langgraph"
|
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|
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version = "1.1.7a1"
|
||||
source = { editable = "../langgraph" }
|
||||
dependencies = [
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{ name = "langchain-core" },
|
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@@ -294,7 +294,7 @@ dependencies = [
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|
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[package.metadata]
|
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requires-dist = [
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{ name = "langchain-core", specifier = ">=1.3.0,<2" },
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{ name = "langchain-core", specifier = ">=0.1" },
|
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{ name = "langgraph-checkpoint", editable = "../checkpoint" },
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{ name = "langgraph-prebuilt", editable = "../prebuilt" },
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{ name = "langgraph-sdk", editable = "." },
|
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@@ -365,7 +365,7 @@ test = [
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|
||||
[[package]]
|
||||
name = "langgraph-checkpoint"
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version = "4.0.2"
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version = "4.0.1"
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source = { editable = "../checkpoint" }
|
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dependencies = [
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{ name = "langchain-core" },
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@@ -534,7 +534,7 @@ test = [
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|
||||
[[package]]
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name = "langsmith"
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source = { registry = "https://pypi.org/simple" }
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||||
dependencies = [
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{ name = "httpx" },
|
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@@ -547,9 +547,9 @@ dependencies = [
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{ name = "zstandard" },
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{ url = "https://files.pythonhosted.org/packages/e8/46/9294d4f49de6a8f08e8b83907713ca545459d87d474c6add15d31a36f5dc/langsmith-0.7.20-py3-none-any.whl", hash = "sha256:0162faf791ea48d69009a12a3da917468556b99cf5d5fcacbb8cda064262e118", size = 359314, upload-time = "2026-03-18T00:03:37.59Z" },
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|
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|
||||
[[package]]
|
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@@ -1000,7 +1000,7 @@ wheels = [
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|
||||
[[package]]
|
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|
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|
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{ name = "colorama", marker = "sys_platform == 'win32'" },
|
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@@ -1011,9 +1011,9 @@ dependencies = [
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|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
||||
Reference in New Issue
Block a user