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Author SHA1 Message Date
Chester Curme 5638502015 factor out helper 2026-04-05 20:30:52 -04:00
Chester Curme 442c6d90b0 merge callbacks in ensure_config 2026-04-05 20:15:56 -04:00
Chester Curme 0c52212098 add test 2026-04-05 20:15:15 -04:00
83 changed files with 1459 additions and 10279 deletions
+4 -34
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@@ -116,13 +116,13 @@ jobs:
timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-h
echo "Finished starting up langgraph-test-h"
LANGGRAPH_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langgraph'); print(v);")
if [ "$LANGGRAPH_VERSION" != "1.1.5" ]; then
echo "LANGGRAPH_VERSION != 1.1.5; $LANGGRAPH_VERSION"
if [ "$LANGGRAPH_VERSION" != "1.1.2" ]; then
echo "LANGGRAPH_VERSION != 1.1.2; $LANGGRAPH_VERSION"
exit 1
fi
LANGCHAIN_OPENAI_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langchain-openai'); print(v);")
if [ "$LANGCHAIN_OPENAI_VERSION" != "1.1.14" ]; then
echo "LANGCHAIN_OPENAI_VERSION != 1.1.14; $LANGCHAIN_OPENAI_VERSION"
if [ "$LANGCHAIN_OPENAI_VERSION" != "1.0.1" ]; then
echo "LANGCHAIN_OPENAI_VERSION != 1.0.1; $LANGCHAIN_OPENAI_VERSION"
exit 1
fi
LANGCHAIN_ANTHROPIC_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langchain-anthropic'); print(v);")
@@ -136,33 +136,3 @@ jobs:
working-directory: libs/cli/examples/graph_prerelease_reqs_fail
run: |
langgraph build -t langgraph-test-i || [ $? -eq 1 ]
- name: Build uv simple service
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
working-directory: libs/cli/uv-examples/simple
run: |
langgraph build -t langgraph-test-uv-simple
- name: Test uv simple service
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' && env.HAS_LANGSMITH_API_KEY == 'true' }}
working-directory: libs/cli/uv-examples/simple
env:
LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
run: |
cp .env.example .env
echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env
timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-uv-simple
- name: Build uv monorepo service
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
working-directory: libs/cli/uv-examples/monorepo/apps/agent
run: |
langgraph build -t langgraph-test-uv-monorepo
- name: Test uv monorepo service
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' && env.HAS_LANGSMITH_API_KEY == 'true' }}
working-directory: libs/cli/uv-examples/monorepo/apps/agent
env:
LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
run: |
cp .env.example .env
echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env
timeout 60 python ../../../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-uv-monorepo
@@ -339,6 +339,37 @@ async def test_list_metadata_custom_keys(
assert results[0].metadata["run_id"] == "run-abc"
async def test_list_global_search(
saver: BaseCheckpointSaver,
) -> None:
"""alist(None, filter=...) searches across all threads."""
tid1, tid2 = str(uuid4()), str(uuid4())
# Use a unique marker so we don't collide with other tests' data
marker = str(uuid4())
cfg1 = generate_config(tid1)
cp1 = generate_checkpoint()
await saver.aput(cfg1, cp1, generate_metadata(source="input", marker=marker), {})
cfg2 = generate_config(tid2)
cp2 = generate_checkpoint()
await saver.aput(cfg2, cp2, generate_metadata(source="loop", marker=marker), {})
# Search across all threads with filter
results = []
async for tup in saver.alist(None, filter={"source": "input", "marker": marker}):
results.append(tup)
assert len(results) == 1
assert results[0].config["configurable"]["thread_id"] == tid1
# Search with marker only — should find both
results = []
async for tup in saver.alist(None, filter={"marker": marker}):
results.append(tup)
assert len(results) == 2
ALL_LIST_TESTS = [
test_list_all,
test_list_by_thread,
@@ -349,6 +380,7 @@ ALL_LIST_TESTS = [
test_list_metadata_filter_multiple_keys,
test_list_metadata_filter_no_match,
test_list_metadata_custom_keys,
test_list_global_search,
test_list_before,
test_list_limit,
test_list_limit_plus_before,
+1 -1
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph-checkpoint-conformance"
version = "0.0.2"
version = "0.0.1"
description = "Conformance test suite for LangGraph checkpointer implementations."
authors = [{name = "William FH", email = "13333726+hinthornw@users.noreply.github.com"}]
requires-python = ">=3.10"
+10 -10
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@@ -231,7 +231,7 @@ wheels = [
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name = "langchain-core"
version = "1.2.28"
version = "1.2.22"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
@@ -243,9 +243,9 @@ dependencies = [
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{ name = "uuid-utils" },
]
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@@ -263,7 +263,7 @@ wheels = [
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name = "langgraph-checkpoint-conformance"
version = "0.0.2"
version = "0.0.1"
source = { editable = "." }
dependencies = [
{ name = "langgraph-checkpoint" },
@@ -306,7 +306,7 @@ test = [
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name = "langsmith"
version = "0.7.31"
version = "0.7.3"
source = { registry = "https://pypi.org/simple" }
dependencies = [
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{ name = "zstandard" },
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@@ -634,9 +634,9 @@ dependencies = [
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-5
View File
@@ -6,11 +6,6 @@ Implementation of LangGraph CheckpointSaver that uses Postgres.
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]`).
## Security
> [!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
> [!IMPORTANT]
+10 -129
View File
@@ -240,7 +240,7 @@ wheels = [
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version = "1.2.28"
version = "1.2.22"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
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{ name = "uuid-utils" },
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-5
View File
@@ -2,11 +2,6 @@
Implementation of LangGraph CheckpointSaver that uses SQLite DB (both sync and async, via `aiosqlite`)
## Security
> [!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
+10 -129
View File
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[[package]]
name = "zstandard"
version = "0.25.0"
-3
View File
@@ -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
@@ -46,23 +46,6 @@ LC_REVIVER = Reviver()
EMPTY_BYTES = b""
logger = logging.getLogger(__name__)
# Dedup log warnings across process lifetime; cap bounds state if types are
# dynamically generated (also acts as a circuit breaker on warning volume).
# Dedup is best-effort: racing threads may each emit once for the same key,
# and warnings are silently dropped once _MAX_WARNED_TYPES is reached.
_MAX_WARNED_TYPES = 1000
_warned_unregistered_types: set[tuple[str, str]] = set()
_warned_blocked_types: set[tuple[str, str]] = set()
def _warn_once(
seen: set[tuple[str, str]], key: tuple[str, str], msg: str, *args: object
) -> None:
if key in seen or len(seen) >= _MAX_WARNED_TYPES:
return
seen.add(key)
logger.warning(msg, *args)
class JsonPlusSerializer(SerializerProtocol):
"""Serializer that uses ormsgpack, with optional fallbacks.
@@ -73,10 +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__(
@@ -91,11 +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 = (
@@ -551,13 +527,10 @@ def _create_msgpack_ext_hook(
"name": name,
}
)
_warn_once(
_warned_unregistered_types,
key,
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,
@@ -575,9 +548,7 @@ def _create_msgpack_ext_hook(
"name": name,
}
)
_warn_once(
_warned_blocked_types,
key,
logger.warning(
"Blocked deserialization of %s.%s - not in allowed_msgpack_modules. "
"Add to allowed_msgpack_modules to allow: [(%r, %r)]",
module,
+1 -1
View File
@@ -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"
-9
View File
@@ -29,8 +29,6 @@ from langgraph.checkpoint.serde.jsonplus import (
EXT_METHOD_SINGLE_ARG,
JsonPlusSerializer,
_msgpack_enc,
_warned_blocked_types,
_warned_unregistered_types,
)
@@ -104,13 +102,6 @@ def test_msgpack_method_pathlib_blocked_encrypted_strict(
class TestEncryptedSerializerMsgpackAllowlist:
"""Test msgpack allowlist behavior through EncryptedSerializer."""
@pytest.fixture(autouse=True)
def _reset_warned_types(self) -> None:
# Warning dedup state is process-global; reset per-test so each case
# sees a fresh slate and assertions about warning emission are stable.
_warned_unregistered_types.clear()
_warned_blocked_types.clear()
def test_safe_types_no_warning(self, caplog: pytest.LogCaptureFixture) -> None:
"""Test safe types deserialize without warnings through encryption."""
serde = _make_encrypted_serde()
+2 -16
View File
@@ -35,8 +35,6 @@ from langgraph.checkpoint.serde.jsonplus import (
JsonPlusSerializer,
_msgpack_enc,
_msgpack_ext_hook_to_json,
_warned_blocked_types,
_warned_unregistered_types,
)
from langgraph.store.base import Item
@@ -582,14 +580,6 @@ def test_msgpack_safe_types_no_warning(caplog: pytest.LogCaptureFixture) -> None
assert result is not None
@pytest.fixture(autouse=True)
def _reset_warned_types() -> None:
# Warning dedup state is process-global; reset per-test so each case sees
# a fresh slate and assertions about warning emission are stable.
_warned_unregistered_types.clear()
_warned_blocked_types.clear()
def test_msgpack_pydantic_warns_by_default(caplog: pytest.LogCaptureFixture) -> None:
"""Pydantic models not in allowlist should log warning but still deserialize."""
current = _lg_msgpack.STRICT_MSGPACK_ENABLED
@@ -605,12 +595,6 @@ def test_msgpack_pydantic_warns_by_default(caplog: pytest.LogCaptureFixture) ->
assert "unregistered type" in caplog.text.lower()
assert "allowed_msgpack_modules" in caplog.text
assert result == obj
# Second deserialization of the same type should NOT produce another warning
caplog.clear()
result2 = serde.loads_typed(dumped)
assert "unregistered type" not in caplog.text.lower()
assert result2 == obj
_lg_msgpack.STRICT_MSGPACK_ENABLED = current
@@ -655,6 +639,7 @@ def test_msgpack_allowlist_silences_warning(caplog: pytest.LogCaptureFixture) ->
def test_msgpack_none_blocks_unregistered(caplog: pytest.LogCaptureFixture) -> None:
"""allowed_msgpack_modules=None should block unregistered types."""
serde = JsonPlusSerializer(allowed_msgpack_modules=None)
obj = MyPydantic(foo="test", bar=42, inner=InnerPydantic(hello="world"))
@@ -672,6 +657,7 @@ def test_msgpack_allowlist_blocks_non_listed(
caplog: pytest.LogCaptureFixture,
) -> None:
"""Allowlists should block unregistered types even if msgpack is enabled."""
serde = JsonPlusSerializer(
allowed_msgpack_modules=[("tests.test_jsonplus", "MyPydantic")]
)
+1 -13
View File
@@ -12,25 +12,13 @@ from langgraph.checkpoint.base import (
empty_checkpoint,
)
from langgraph.checkpoint.memory import InMemorySaver
from langgraph.checkpoint.serde.jsonplus import (
JsonPlusSerializer,
_warned_blocked_types,
_warned_unregistered_types,
)
from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
class MemoryPydantic(BaseModel):
foo: str
@pytest.fixture(autouse=True)
def _reset_warned_types() -> None:
# Warning dedup state is process-global; reset per-test so each case sees
# a fresh slate and assertions about warning emission are stable.
_warned_unregistered_types.clear()
_warned_blocked_types.clear()
class TestMemorySaver:
@pytest.fixture(autouse=True)
def setup(self) -> None:
+10 -129
View File
@@ -267,7 +267,7 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.2.28"
version = "1.2.23"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
@@ -279,14 +279,14 @@ dependencies = [
{ name = "typing-extensions" },
{ name = "uuid-utils" },
]
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name = "langgraph-checkpoint"
version = "4.0.2"
version = "4.0.1"
source = { editable = "." }
dependencies = [
{ name = "langchain-core" },
@@ -369,7 +369,7 @@ test = [
[[package]]
name = "langsmith"
version = "0.7.31"
version = "0.6.4"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "httpx" },
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{ name = "uuid-utils" },
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{ name = "zstandard" },
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version = "9.0.2"
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@@ -1129,9 +1128,9 @@ dependencies = [
{ name = "pygments" },
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]
[[package]]
name = "zstandard"
version = "0.25.0"
@@ -5,5 +5,5 @@ description = "Test for prerelease stuff"
readme = "README.md"
requires-python = ">=3.10"
dependencies = [
"langgraph==1.1.5"
"langgraph==1.1.2"
]
@@ -5,5 +5,5 @@ description = "Test for prerelease stuff"
readme = "README.md"
requires-python = ">=3.10"
dependencies = [
"langchain-openai==1.1.14"
"langchain-openai==1.0.1"
]
@@ -5,9 +5,9 @@ description = "Test for prerelease stuff"
readme = "README.md"
requires-python = ">=3.10"
dependencies = [
"langchain-openai==1.1.14",
"langchain-openai==1.0.0a2",
"langchain-anthropic==1.0.0a5",
"langgraph==1.1.5"
"langgraph==1.1.2"
]
[tool.uv]
@@ -5,7 +5,7 @@ description = "Test for prerelease stuff"
readme = "README.md"
requires-python = ">=3.10"
dependencies = [
"langchain-openai==1.1.14",
"langchain-openai==1.0.0a2",
"langgraph==1.1.2",
"langchain_community>=0.3.0",
]
+5 -50
View File
@@ -159,8 +159,8 @@ def generate_schema():
if k not in python_specific_props and k not in node_specific_props
]
# Create legacy Python schema with python_version and pip_config_file
legacy_python_schema = {
# Create Python schema with python_version and pip_config_file
python_schema = {
"type": "object",
"properties": {
# Include Python-specific properties
@@ -170,45 +170,10 @@ def generate_schema():
},
"required": ["dependencies", "graphs"],
}
legacy_python_schema["properties"]["pip_installer"] = {
"anyOf": [
{"type": "string", "enum": ["auto", "pip", "uv"]},
{"type": "null"},
]
}
uv_source_python_schema = {
"type": "object",
"properties": {
**{
k: config_schema["properties"][k].copy()
for k in python_specific_props + common_props
},
},
"required": ["graphs", "source"],
}
# source must be a UvSource object (not null)
uv_source_python_schema["properties"]["source"] = {"$ref": "#/$defs/UvSource"}
uv_source_python_schema["properties"]["pip_installer"] = {
"anyOf": [
{"type": "string", "enum": ["auto", "pip", "uv"]},
{"type": "null"},
]
}
# Add enum constraint for python_version
if "python_version" in legacy_python_schema["properties"]:
legacy_python_schema["properties"]["python_version"]["enum"] = [
"3.11",
"3.12",
"3.13",
]
if "python_version" in uv_source_python_schema["properties"]:
uv_source_python_schema["properties"]["python_version"]["enum"] = [
"3.11",
"3.12",
"3.13",
]
if "python_version" in python_schema["properties"]:
python_schema["properties"]["python_version"]["enum"] = ["3.11", "3.12", "3.13"]
# Create Node.js schema with node_version
node_schema = {
@@ -221,12 +186,6 @@ def generate_schema():
},
"required": ["node_version", "graphs"],
}
node_schema["properties"]["pip_installer"] = {
"anyOf": [
{"type": "string", "enum": ["auto", "pip", "uv"]},
{"type": "null"},
]
}
# Add enum constraint for node_version
if "node_version" in node_schema["properties"]:
@@ -243,11 +202,7 @@ def generate_schema():
]
# Replace the Config schema with a oneOf constraint
config_schema["oneOf"] = [
legacy_python_schema,
uv_source_python_schema,
node_schema,
]
config_schema["oneOf"] = [python_schema, node_schema]
# Remove the properties field as it's now defined in the oneOf subschemas
if "properties" in config_schema:
+29 -8
View File
@@ -1086,6 +1086,11 @@
resolved "https://registry.yarnpkg.com/@types/stack-utils/-/stack-utils-2.0.3.tgz#6209321eb2c1712a7e7466422b8cb1fc0d9dd5d8"
integrity sha512-9aEbYZ3TbYMznPdcdr3SmIrLXwC/AKZXQeCf9Pgao5CKb8CyHuEX5jzWPTkvregvhRJHcpRO6BFoGW9ycaOkYw==
"@types/uuid@^10.0.0":
version "10.0.0"
resolved "https://registry.yarnpkg.com/@types/uuid/-/uuid-10.0.0.tgz#e9c07fe50da0f53dc24970cca94d619ff03f6f6d"
integrity sha512-7gqG38EyHgyP1S+7+xomFtL+ZNHcKv6DwNaCZmJmo1vgMugyF3TCnXVg4t1uk89mLNwnLtnY3TpOpCOyp1/xHQ==
"@types/yargs-parser@*":
version "21.0.3"
resolved "https://registry.yarnpkg.com/@types/yargs-parser/-/yargs-parser-21.0.3.tgz#815e30b786d2e8f0dcd85fd5bcf5e1a04d008f15"
@@ -1777,6 +1782,13 @@ concat-map@0.0.1:
resolved "https://registry.yarnpkg.com/concat-map/-/concat-map-0.0.1.tgz#d8a96bd77fd68df7793a73036a3ba0d5405d477b"
integrity sha512-/Srv4dswyQNBfohGpz9o6Yb3Gz3SrUDqBH5rTuhGR7ahtlbYKnVxw2bCFMRljaA7EXHaXZ8wsHdodFvbkhKmqg==
console-table-printer@^2.12.1:
version "2.15.0"
resolved "https://registry.yarnpkg.com/console-table-printer/-/console-table-printer-2.15.0.tgz#5c808204640b8f024d545bde8aabe5d344dfadc1"
integrity sha512-SrhBq4hYVjLCkBVOWaTzceJalvn5K1Zq5aQA6wXC/cYjI3frKWNPEMK3sZsJfNNQApvCQmgBcc13ZKmFj8qExw==
dependencies:
simple-wcswidth "^1.1.2"
convert-source-map@^2.0.0:
version "2.0.0"
resolved "https://registry.yarnpkg.com/convert-source-map/-/convert-source-map-2.0.0.tgz#4b560f649fc4e918dd0ab75cf4961e8bc882d82a"
@@ -3676,12 +3688,16 @@ 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 "0.5.4"
resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.4.tgz#f75b82b08e30db72a7d1d595b341e9666bd525e5"
integrity sha512-qYkNIoKpf0ZYt+cYzrDV+XI3FCexApmZmp8EMs3eDTMv0OvrHMLoxJ9IpkeoXJSX24+GPk0/jXjKx2hWerpy9w==
dependencies:
p-queue "6.6.2"
uuid "10.0.0"
"@types/uuid" "^10.0.0"
chalk "^4.1.2"
console-table-printer "^2.12.1"
p-queue "^6.6.2"
semver "^7.6.3"
uuid "^10.0.0"
leven@^3.1.0:
version "3.1.0"
@@ -3991,7 +4007,7 @@ p-locate@^5.0.0:
dependencies:
p-limit "^3.0.2"
p-queue@6.6.2, p-queue@^6.6.2:
p-queue@^6.6.2:
version "6.6.2"
resolved "https://registry.yarnpkg.com/p-queue/-/p-queue-6.6.2.tgz#2068a9dcf8e67dd0ec3e7a2bcb76810faa85e426"
integrity sha512-RwFpb72c/BhQLEXIZ5K2e+AhgNVmIejGlTgiB9MzZ0e93GRvqZ7uSi0dvRF7/XIXDeNkra2fNHBxTyPDGySpjQ==
@@ -4287,7 +4303,7 @@ semver@^6.3.1:
resolved "https://registry.yarnpkg.com/semver/-/semver-6.3.1.tgz#556d2ef8689146e46dcea4bfdd095f3434dffcb4"
integrity sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA==
semver@^7.5.3, semver@^7.5.4, semver@^7.7.2, semver@^7.7.3:
semver@^7.5.3, semver@^7.5.4, semver@^7.6.3, semver@^7.7.2, semver@^7.7.3:
version "7.7.4"
resolved "https://registry.yarnpkg.com/semver/-/semver-7.7.4.tgz#28464e36060e991fa7a11d0279d2d3f3b57a7e8a"
integrity sha512-vFKC2IEtQnVhpT78h1Yp8wzwrf8CM+MzKMHGJZfBtzhZNycRFnXsHk6E5TxIkkMsgNS7mdX3AGB7x2QM2di4lA==
@@ -4395,6 +4411,11 @@ signal-exit@^4.0.1:
resolved "https://registry.yarnpkg.com/signal-exit/-/signal-exit-4.1.0.tgz#952188c1cbd546070e2dd20d0f41c0ae0530cb04"
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==
+72 -7
View File
@@ -217,6 +217,11 @@
resolved "https://registry.yarnpkg.com/@types/json5/-/json5-0.0.29.tgz#ee28707ae94e11d2b827bcbe5270bcea7f3e71ee"
integrity sha512-dRLjCWHYg4oaA77cxO64oO+7JwCwnIzkZPdrrC71jQmQtlhM556pwKo5bUzqvZndkVbeFLIIi+9TC40JNF5hNQ==
"@types/uuid@^10.0.0":
version "10.0.0"
resolved "https://registry.yarnpkg.com/@types/uuid/-/uuid-10.0.0.tgz#e9c07fe50da0f53dc24970cca94d619ff03f6f6d"
integrity sha512-7gqG38EyHgyP1S+7+xomFtL+ZNHcKv6DwNaCZmJmo1vgMugyF3TCnXVg4t1uk89mLNwnLtnY3TpOpCOyp1/xHQ==
"@typescript-eslint/eslint-plugin@^8.58.0":
version "8.58.0"
resolved "https://registry.yarnpkg.com/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.58.0.tgz#ad40e492f1931f46da1bd888e52b9e56df9063aa"
@@ -338,6 +343,13 @@ ajv@^6.14.0:
json-schema-traverse "^0.4.1"
uri-js "^4.2.2"
ansi-styles@^4.1.0:
version "4.3.0"
resolved "https://registry.yarnpkg.com/ansi-styles/-/ansi-styles-4.3.0.tgz#edd803628ae71c04c85ae7a0906edad34b648937"
integrity sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg==
dependencies:
color-convert "^2.0.1"
ansi-styles@^5.0.0:
version "5.2.0"
resolved "https://registry.yarnpkg.com/ansi-styles/-/ansi-styles-5.2.0.tgz#07449690ad45777d1924ac2abb2fc8895dba836b"
@@ -496,11 +508,38 @@ camelcase@6:
resolved "https://registry.yarnpkg.com/camelcase/-/camelcase-6.3.0.tgz#5685b95eb209ac9c0c177467778c9c84df58ba9a"
integrity sha512-Gmy6FhYlCY7uOElZUSbxo2UCDH8owEk996gkbrpsgGtrJLM3J7jGxl9Ic7Qwwj4ivOE5AWZWRMecDdF7hqGjFA==
chalk@^4.1.2:
version "4.1.2"
resolved "https://registry.yarnpkg.com/chalk/-/chalk-4.1.2.tgz#aac4e2b7734a740867aeb16bf02aad556a1e7a01"
integrity sha512-oKnbhFyRIXpUuez8iBMmyEa4nbj4IOQyuhc/wy9kY7/WVPcwIO9VA668Pu8RkO7+0G76SLROeyw9CpQ061i4mA==
dependencies:
ansi-styles "^4.1.0"
supports-color "^7.1.0"
color-convert@^2.0.1:
version "2.0.1"
resolved "https://registry.yarnpkg.com/color-convert/-/color-convert-2.0.1.tgz#72d3a68d598c9bdb3af2ad1e84f21d896abd4de3"
integrity sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==
dependencies:
color-name "~1.1.4"
color-name@~1.1.4:
version "1.1.4"
resolved "https://registry.yarnpkg.com/color-name/-/color-name-1.1.4.tgz#c2a09a87acbde69543de6f63fa3995c826c536a2"
integrity sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==
concat-map@0.0.1:
version "0.0.1"
resolved "https://registry.yarnpkg.com/concat-map/-/concat-map-0.0.1.tgz#d8a96bd77fd68df7793a73036a3ba0d5405d477b"
integrity sha512-/Srv4dswyQNBfohGpz9o6Yb3Gz3SrUDqBH5rTuhGR7ahtlbYKnVxw2bCFMRljaA7EXHaXZ8wsHdodFvbkhKmqg==
console-table-printer@^2.12.1:
version "2.14.6"
resolved "https://registry.yarnpkg.com/console-table-printer/-/console-table-printer-2.14.6.tgz#edfe0bf311fa2701922ed509443145ab51e06436"
integrity sha512-MCBl5HNVaFuuHW6FGbL/4fB7N/ormCy+tQ+sxTrF6QtSbSNETvPuOVbkJBhzDgYhvjWGrTma4eYJa37ZuoQsPw==
dependencies:
simple-wcswidth "^1.0.1"
cross-spawn@^7.0.6:
version "7.0.6"
resolved "https://registry.yarnpkg.com/cross-spawn/-/cross-spawn-7.0.6.tgz#8a58fe78f00dcd70c370451759dfbfaf03e8ee9f"
@@ -1020,6 +1059,11 @@ has-bigints@^1.0.2:
resolved "https://registry.yarnpkg.com/has-bigints/-/has-bigints-1.1.0.tgz#28607e965ac967e03cd2a2c70a2636a1edad49fe"
integrity sha512-R3pbpkcIqv2Pm3dUwgjclDRVmWpTJW2DcMzcIhEXEx1oh/CEMObMm3KLmRJOdvhM7o4uQBnwr8pzRK2sJWIqfg==
has-flag@^4.0.0:
version "4.0.0"
resolved "https://registry.yarnpkg.com/has-flag/-/has-flag-4.0.0.tgz#944771fd9c81c81265c4d6941860da06bb59479b"
integrity sha512-EykJT/Q1KjTWctppgIAgfSO0tKVuZUjhgMr17kqTumMl6Afv3EISleU7qZUzoXDFTAHTDC4NOoG/ZxU3EvlMPQ==
has-property-descriptors@^1.0.0, has-property-descriptors@^1.0.2:
version "1.0.2"
resolved "https://registry.yarnpkg.com/has-property-descriptors/-/has-property-descriptors-1.0.2.tgz#963ed7d071dc7bf5f084c5bfbe0d1b6222586854"
@@ -1328,12 +1372,16 @@ 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 "0.5.4"
resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.4.tgz#f75b82b08e30db72a7d1d595b341e9666bd525e5"
integrity sha512-qYkNIoKpf0ZYt+cYzrDV+XI3FCexApmZmp8EMs3eDTMv0OvrHMLoxJ9IpkeoXJSX24+GPk0/jXjKx2hWerpy9w==
dependencies:
p-queue "6.6.2"
uuid "10.0.0"
"@types/uuid" "^10.0.0"
chalk "^4.1.2"
console-table-printer "^2.12.1"
p-queue "^6.6.2"
semver "^7.6.3"
uuid "^10.0.0"
levn@^0.4.1:
version "0.4.1"
@@ -1480,7 +1528,7 @@ p-locate@^5.0.0:
dependencies:
p-limit "^3.0.2"
p-queue@6.6.2, p-queue@^6.6.2:
p-queue@^6.6.2:
version "6.6.2"
resolved "https://registry.yarnpkg.com/p-queue/-/p-queue-6.6.2.tgz#2068a9dcf8e67dd0ec3e7a2bcb76810faa85e426"
integrity sha512-RwFpb72c/BhQLEXIZ5K2e+AhgNVmIejGlTgiB9MzZ0e93GRvqZ7uSi0dvRF7/XIXDeNkra2fNHBxTyPDGySpjQ==
@@ -1642,6 +1690,11 @@ semver@^6.3.1:
resolved "https://registry.yarnpkg.com/semver/-/semver-6.3.1.tgz#556d2ef8689146e46dcea4bfdd095f3434dffcb4"
integrity sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA==
semver@^7.6.3:
version "7.7.2"
resolved "https://registry.yarnpkg.com/semver/-/semver-7.7.2.tgz#67d99fdcd35cec21e6f8b87a7fd515a33f982b58"
integrity sha512-RF0Fw+rO5AMf9MAyaRXI4AV0Ulj5lMHqVxxdSgiVbixSCXoEmmX/jk0CuJw4+3SqroYO9VoUh+HcuJivvtJemA==
semver@^7.7.3:
version "7.7.4"
resolved "https://registry.yarnpkg.com/semver/-/semver-7.7.4.tgz#28464e36060e991fa7a11d0279d2d3f3b57a7e8a"
@@ -1730,6 +1783,11 @@ side-channel@^1.1.0:
side-channel-map "^1.0.1"
side-channel-weakmap "^1.0.2"
simple-wcswidth@^1.0.1:
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==
stop-iteration-iterator@^1.1.0:
version "1.1.0"
resolved "https://registry.yarnpkg.com/stop-iteration-iterator/-/stop-iteration-iterator-1.1.0.tgz#f481ff70a548f6124d0312c3aa14cbfa7aa542ad"
@@ -1780,6 +1838,13 @@ strip-json-comments@^3.1.1:
resolved "https://registry.yarnpkg.com/strip-json-comments/-/strip-json-comments-3.1.1.tgz#31f1281b3832630434831c310c01cccda8cbe006"
integrity sha512-6fPc+R4ihwqP6N/aIv2f1gMH8lOVtWQHoqC4yK6oSDVVocumAsfCqjkXnqiYMhmMwS/mEHLp7Vehlt3ql6lEig==
supports-color@^7.1.0:
version "7.2.0"
resolved "https://registry.yarnpkg.com/supports-color/-/supports-color-7.2.0.tgz#1b7dcdcb32b8138801b3e478ba6a51caa89648da"
integrity sha512-qpCAvRl9stuOHveKsn7HncJRvv501qIacKzQlO/+Lwxc9+0q2wLyv4Dfvt80/DPn2pqOBsJdDiogXGR9+OvwRw==
dependencies:
has-flag "^4.0.0"
supports-preserve-symlinks-flag@^1.0.0:
version "1.0.0"
resolved "https://registry.yarnpkg.com/supports-preserve-symlinks-flag/-/supports-preserve-symlinks-flag-1.0.0.tgz#6eda4bd344a3c94aea376d4cc31bc77311039e09"
@@ -1901,7 +1966,7 @@ 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==
+1 -1
View File
@@ -1 +1 @@
__version__ = "0.4.24"
__version__ = "0.4.19"
-124
View File
@@ -1,124 +0,0 @@
"""Shared ignore-file handling for local source filtering."""
import pathlib
from dataclasses import dataclass
import pathspec
_ALWAYS_EXCLUDE = [
"__pycache__/",
".git/",
".venv/",
"venv/",
"node_modules/",
".tox/",
".mypy_cache/",
]
_ALWAYS_EXCLUDE_NAMES = frozenset(
pattern.rstrip("/").split("/")[-1] for pattern in _ALWAYS_EXCLUDE
)
_GLOB_CHARS = frozenset("*?[")
@dataclass(frozen=True, slots=True)
class _NegatedDockerignoreHints:
exact_dirs: frozenset[pathlib.PurePosixPath] = frozenset()
wildcard_prefixes: frozenset[pathlib.PurePosixPath] = frozenset()
recurse_all: bool = False
def requires_dir_walk(self, path: pathlib.PurePosixPath) -> bool:
if self.recurse_all or path in self.exact_dirs:
return True
return any(
path == prefix or path in prefix.parents or prefix in path.parents
for prefix in self.wildcard_prefixes
)
def _build_ignore_spec(
directory: pathlib.Path, *, include_gitignore: bool = True
) -> pathspec.PathSpec:
"""Build a PathSpec combining built-in exclusions with ignore files.
Always excludes common non-source directories (`_ALWAYS_EXCLUDE`). On top
of that, patterns from `.dockerignore` are merged in. `.gitignore` patterns
are optional because some callers need Docker build-context semantics,
while archive creation wants both files.
"""
lines: list[str] = list(_ALWAYS_EXCLUDE)
ignore_files = [".dockerignore"]
if include_gitignore:
ignore_files.append(".gitignore")
for name in ignore_files:
ignore_file = directory / name
if ignore_file.is_file():
lines.extend(ignore_file.read_text(encoding="utf-8").splitlines())
return pathspec.PathSpec.from_lines("gitwildmatch", lines)
def _is_always_excluded(path: pathlib.PurePosixPath, *, is_dir: bool) -> bool:
"""Whether `path` lives inside a built-in excluded directory."""
parent_parts = path.parts if is_dir else path.parts[:-1]
return any(part in _ALWAYS_EXCLUDE_NAMES for part in parent_parts)
def _build_dockerignore_negation_hints(
directory: pathlib.Path,
) -> _NegatedDockerignoreHints:
"""Summarize which ignored directories must still be traversed.
Most negations only require walking a small, concrete chain of parent
directories (for example `!assets/keep.txt` requires entering `assets/`).
Broader glob negations may force a wider walk.
"""
ignore_file = directory / ".dockerignore"
if not ignore_file.is_file():
return _NegatedDockerignoreHints()
exact_dirs: set[pathlib.PurePosixPath] = set()
wildcard_prefixes: set[pathlib.PurePosixPath] = set()
recurse_all = False
for raw_line in ignore_file.read_text(encoding="utf-8").splitlines():
line = raw_line.strip()
if not line or line.startswith("#") or line.startswith("\\!"):
continue
if line.startswith("\\#"):
line = line[1:]
if not line.startswith("!"):
continue
pattern = line[1:].lstrip("/")
while pattern.startswith("./"):
pattern = pattern[2:]
pattern = pattern.rstrip("/")
parts = [part for part in pattern.split("/") if part and part != "."]
if not parts:
recurse_all = True
continue
wildcard_index = next(
(
idx
for idx, part in enumerate(parts)
if any(char in part for char in _GLOB_CHARS)
),
None,
)
if wildcard_index is not None:
literal_parts = parts[:wildcard_index]
if not literal_parts:
recurse_all = True
continue
wildcard_prefixes.add(pathlib.PurePosixPath(*literal_parts))
continue
parent_parts = parts[:-1]
for idx in range(1, len(parent_parts) + 1):
exact_dirs.add(pathlib.PurePosixPath(*parent_parts[:idx]))
return _NegatedDockerignoreHints(
exact_dirs=frozenset(exact_dirs),
wildcard_prefixes=frozenset(wildcard_prefixes),
recurse_all=recurse_all,
)
+3 -10
View File
@@ -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,))
+24 -1
View File
@@ -9,12 +9,35 @@ from contextlib import contextmanager
import click
import pathspec
from langgraph_cli._ignore import _build_ignore_spec
from langgraph_cli.config import Config, _assemble_local_deps
_WARN_SIZE = 50 * 1024 * 1024 # 50 MB
_MAX_SIZE = 200 * 1024 * 1024 # 200 MB
_ALWAYS_EXCLUDE = [
"__pycache__/",
".git/",
".venv/",
"venv/",
"node_modules/",
".tox/",
".mypy_cache/",
]
def _build_ignore_spec(directory: pathlib.Path) -> pathspec.PathSpec:
"""Build a PathSpec combining built-in exclusions with .dockerignore and .gitignore.
Always excludes common non-source directories (_ALWAYS_EXCLUDE). On top of
that, patterns from .dockerignore and .gitignore (if present) are merged in.
"""
lines: list[str] = list(_ALWAYS_EXCLUDE)
for name in (".dockerignore", ".gitignore"):
ignore_file = directory / name
if ignore_file.is_file():
lines.extend(ignore_file.read_text(encoding="utf-8").splitlines())
return pathspec.PathSpec.from_lines("gitwildmatch", lines)
def _tar_filter(tarinfo: tarfile.TarInfo) -> tarfile.TarInfo | None:
"""Strip symlinks, hardlinks, and traversal paths from archive."""
-42
View File
@@ -817,48 +817,6 @@ def dev(
)
# ---------------------------------------------------------------------------
# validate command
# ---------------------------------------------------------------------------
@OPT_CONFIG
@cli.command(help="✅ Validate the LangGraph configuration file.")
@log_command
def validate(config: pathlib.Path):
import json
try:
with open(config) as f:
raw_config = json.load(f)
except json.JSONDecodeError as e:
raise click.UsageError(f"Invalid JSON in {config}: {e.args[0]}") from None
# Check for unknown keys before validation so they show alongside any error.
unknown_warnings = langgraph_cli.config.get_unknown_keys(raw_config)
try:
config_json = langgraph_cli.config.validate_config_file(config)
except (click.UsageError, ValueError) as e:
click.secho(f"Error: {e}", fg="red", err=True)
if unknown_warnings:
click.echo(err=True)
for warning in unknown_warnings:
click.secho(f" warning: {warning}", fg="yellow", err=True)
raise SystemExit(1) from None
num_graphs = len(config_json.get("graphs", {}))
click.secho(
f"Configuration file {config} is valid. "
f"({num_graphs} graph{'s' if num_graphs != 1 else ''} found)",
fg="green",
)
if unknown_warnings:
click.echo()
for warning in unknown_warnings:
click.secho(f" warning: {warning}", fg="yellow")
# ---------------------------------------------------------------------------
# new command
# ---------------------------------------------------------------------------
+129 -271
View File
@@ -3,7 +3,6 @@ import json
import os
import pathlib
import re
import shlex
import textwrap
from collections import Counter
from typing import Literal, NamedTuple
@@ -11,7 +10,6 @@ from typing import Literal, NamedTuple
import click
from langgraph_cli.schemas import Config, Distros
from langgraph_cli.uv_lock import python_config_to_docker_uv_lock
MIN_NODE_VERSION = "20"
DEFAULT_NODE_VERSION = "20"
@@ -141,14 +139,6 @@ def _is_node_graph(spec: str | dict) -> bool:
]
def _get_source_kind(config: Config) -> str | None:
source = config.get("source")
if not isinstance(source, dict):
return None
kind = source.get("kind")
return kind if isinstance(kind, str) else None
def validate_config(config: Config) -> Config:
"""Validate a configuration dictionary."""
@@ -167,8 +157,6 @@ def validate_config(config: Config) -> Config:
image_distro = config.get("image_distro", DEFAULT_IMAGE_DISTRO)
internal_docker_tag = config.get("_INTERNAL_docker_tag")
api_version = config.get("api_version")
legacy_project_root = config.get("project_root")
legacy_package = config.get("package")
if internal_docker_tag:
if api_version:
raise click.UsageError(
@@ -182,18 +170,13 @@ def validate_config(config: Config) -> Config:
"Version must be major or major.minor or major.minor.patch."
)
except TypeError:
raise click.UsageError(
f"Invalid version format: {api_version}.\n\n"
"Pin to a minor version, e.g.:\n"
' "api_version": "0.8"'
) from None
raise click.UsageError(f"Invalid version format: {api_version}") from None
config = {
"node_version": node_version,
"python_version": python_version,
"pip_config_file": config.get("pip_config_file"),
"pip_installer": config.get("pip_installer", "auto"),
"source": config.get("source"),
"base_image": config.get("base_image"),
"image_distro": image_distro,
"dependencies": config.get("dependencies", []),
@@ -224,51 +207,25 @@ def validate_config(config: Config) -> Config:
if major < min_major:
raise click.UsageError(
f"Node.js version {node_version} is not supported. "
f"Minimum required version is {MIN_NODE_VERSION}.\n\n"
f"Set node_version to {MIN_NODE_VERSION} or higher:\n"
f' "node_version": "{MIN_NODE_VERSION}"'
f"Minimum required version is {MIN_NODE_VERSION}."
)
except ValueError as e:
raise click.UsageError(str(e)) from None
if pip_installer := config.get("pip_installer"):
if pip_installer not in ["auto", "pip", "uv"]:
raise click.UsageError(
f"Invalid pip_installer: '{pip_installer}'. "
"Consider using uv-based source management instead:\n\n"
' "source": {"kind": "uv", "root": ".."}'
)
source = config.get("source")
source_kind = _get_source_kind(config)
if source is not None and not isinstance(source, dict):
raise click.UsageError(
"`source` must be an object, e.g.:\n"
' "source": {"kind": "uv", "root": ".."}'
)
if source is not None and source_kind != "uv":
raise click.UsageError(
"Invalid source.kind. The only supported value is 'uv':\n"
' "source": {"kind": "uv", "root": ".."}'
)
if config.get("python_version"):
pyversion = config["python_version"]
if not pyversion.count(".") == 1 or not all(
part.isdigit() for part in pyversion.split("-")[0].split(".")
):
parts = pyversion.split("-")[0].split(".")
fix = f"{parts[0]}.{parts[1]}" if len(parts) >= 2 else MIN_PYTHON_VERSION
raise click.UsageError(
f"Invalid Python version format: {pyversion}. "
"Use 'major.minor' format — patch version cannot be specified.\n\n"
f' "python_version": "{fix}"'
"Use 'major.minor' format (e.g., '3.11'). "
"Patch version cannot be specified."
)
if _parse_version(pyversion) < _parse_version(MIN_PYTHON_VERSION):
raise click.UsageError(
f"Python version {pyversion} is not supported. "
f"Minimum required version is {MIN_PYTHON_VERSION}.\n\n"
f' "python_version": "{MIN_PYTHON_VERSION}"'
f"Minimum required version is {MIN_PYTHON_VERSION}."
)
if "bullseye" in pyversion:
raise click.UsageError(
@@ -276,19 +233,15 @@ def validate_config(config: Config) -> Config:
"Please use 'bookworm' or 'debian' instead."
)
if source_kind != "uv" and not config["dependencies"]:
if not config["dependencies"]:
raise click.UsageError(
"No dependencies found in config. "
"Consider using uv-based source management:\n\n"
' "source": {"kind": "uv", "root": ".."}'
"Add at least one dependency to 'dependencies' list."
)
if not config.get("graphs"):
raise click.UsageError(
"No graphs found in config. Add at least one graph, e.g.:\n"
' "graphs": {\n'
' "agent": "./my_agent/graph.py:graph"\n'
" }"
"No graphs found in config. Add at least one graph to 'graphs' dictionary."
)
# Validate image_distro config
@@ -301,47 +254,16 @@ def validate_config(config: Config) -> Config:
if image_distro not in Distros.__args__:
raise click.UsageError(
f"Invalid image_distro: '{image_distro}'. "
f"Must be one of: {', '.join(repr(d) for d in Distros.__args__)}.\n\n"
' "image_distro": "wolfi" (recommended)'
"Must be one of 'debian', 'wolfi', or 'bookworm'."
)
if source_kind == "uv":
errors: list[str] = []
if not config.get("python_version"):
errors.append(
"source.kind 'uv' requires `python_version` — "
"it is a Python-only deployment mode. "
"Node.js-only graphs are not supported."
)
if config["dependencies"]:
errors.append(
"Remove `dependencies` from your config. With "
'`source.kind = "uv"`, all dependencies '
"are read from your pyproject.toml and uv.lock instead."
)
root = source.get("root", ".") if source else "."
if not isinstance(root, str):
errors.append(f"`source.root` must be a string, got {type(root).__name__}.")
elif not root.strip():
errors.append('`source.root` must be a non-empty string. Use `"."`.')
package_name = source.get("package") if source else None
if package_name is not None and (
not isinstance(package_name, str) or not package_name.strip()
):
errors.append("`source.package` must be a non-empty string.")
if errors:
detail = "\n".join(f" - {e}" for e in errors)
if pip_installer := config.get("pip_installer"):
if pip_installer not in ["auto", "pip", "uv"]:
raise click.UsageError(
"source.kind 'uv' requires a different "
f"config shape than dependency-based installs:\n{detail}"
f"Invalid pip_installer: '{pip_installer}'. "
"Must be 'auto', 'pip', or 'uv'."
)
if legacy_project_root or legacy_package:
raise click.UsageError(
"Top-level `project_root` and `package` are no longer supported. "
"Use `source.root` and `source.package` instead."
)
# Validate auth config
if auth_conf := config.get("auth"):
if "path" in auth_conf:
@@ -384,51 +306,6 @@ def validate_config(config: Config) -> Config:
return config
# Keys recognized by validate_config (used to detect unknown fields).
_KNOWN_CONFIG_KEYS = {
"python_version",
"node_version",
"api_version",
"base_image",
"image_distro",
"pip_config_file",
"pip_installer",
"source",
"dependencies",
"dockerfile_lines",
"graphs",
"env",
"store",
"auth",
"encryption",
"http",
"webhooks",
"checkpointer",
"ui",
"ui_config",
"keep_pkg_tools",
# Internal / legacy (still recognized, may error separately)
"_INTERNAL_docker_tag",
"project_root",
"package",
}
def get_unknown_keys(raw_config: dict) -> list[str]:
"""Return warnings for unrecognized top-level keys (typos, etc.)."""
import difflib
unknown = set(raw_config) - _KNOWN_CONFIG_KEYS
warnings: list[str] = []
for key in sorted(unknown):
close = difflib.get_close_matches(key, _KNOWN_CONFIG_KEYS, n=1)
if close:
warnings.append(f"Unknown key '{key}' — did you mean '{close[0]}'?")
else:
warnings.append(f"Unknown key '{key}' is not a recognized config field.")
return warnings
def validate_config_file(config_path: pathlib.Path) -> Config:
"""Load and validate a configuration file."""
with open(config_path) as f:
@@ -930,65 +807,9 @@ def _update_http_app_path(
http_config["app"] = f"{module_str}:{attr_str}"
def _build_python_install_commands(
config: Config, install_cmd: str
) -> tuple[str, str, str]:
base_install = f"PYTHONDONTWRITEBYTECODE=1 {install_cmd} --no-cache-dir -c /api/constraints.txt"
local_reqs_pip_install = base_install
global_reqs_pip_install = base_install
if config.get("pip_config_file"):
local_reqs_pip_install = (
f"PIP_CONFIG_FILE=/pipconfig.txt {local_reqs_pip_install}"
)
global_reqs_pip_install = (
f"PIP_CONFIG_FILE=/pipconfig.txt {global_reqs_pip_install}"
)
pip_config_file_str = (
f"ADD {config['pip_config_file']} /pipconfig.txt"
if config.get("pip_config_file")
else ""
)
return local_reqs_pip_install, global_reqs_pip_install, pip_config_file_str
def _build_runtime_env_vars(config: Config) -> list[str]:
env_vars = []
if (store_config := config.get("store")) is not None:
env_vars.append(f"ENV LANGGRAPH_STORE='{json.dumps(store_config)}'")
if (auth_config := config.get("auth")) is not None:
env_vars.append(f"ENV LANGGRAPH_AUTH='{json.dumps(auth_config)}'")
if (encryption_config := config.get("encryption")) is not None:
env_vars.append(f"ENV LANGGRAPH_ENCRYPTION='{json.dumps(encryption_config)}'")
if (http_config := config.get("http")) is not None:
env_vars.append(f"ENV LANGGRAPH_HTTP='{json.dumps(http_config)}'")
if (webhooks_config := config.get("webhooks")) is not None:
env_vars.append(f"ENV LANGGRAPH_WEBHOOKS='{json.dumps(webhooks_config)}'")
if (checkpointer_config := config.get("checkpointer")) is not None:
env_vars.append(
f"ENV LANGGRAPH_CHECKPOINTER='{json.dumps(checkpointer_config)}'"
)
if (ui := config.get("ui")) is not None:
env_vars.append(f"ENV LANGGRAPH_UI='{json.dumps(ui)}'")
if (ui_config := config.get("ui_config")) is not None:
env_vars.append(f"ENV LANGGRAPH_UI_CONFIG='{json.dumps(ui_config)}'")
env_vars.append(f"ENV LANGSERVE_GRAPHS='{json.dumps(config['graphs'])}'")
return env_vars
def _get_node_pm_install_cmd(project_dir: pathlib.Path) -> str:
def _get_node_pm_install_cmd(config_path: pathlib.Path, config: Config) -> str:
def test_file(file_name):
full_path = project_dir / file_name
full_path = config_path.parent / file_name
try:
return full_path.is_file()
except OSError:
@@ -997,7 +818,7 @@ def _get_node_pm_install_cmd(project_dir: pathlib.Path) -> str:
# inspired by `package-manager-detector`
def get_pkg_manager_name():
try:
with open(project_dir / "package.json") as f:
with open(config_path.parent / "package.json") as f:
pkg = json.load(f)
if (pkg_manager_name := pkg.get("packageManager")) and isinstance(
@@ -1093,17 +914,8 @@ def python_config_to_docker(
escape_variables: bool = False,
) -> tuple[str, dict[str, str]]:
"""Generate a Dockerfile from the configuration."""
source_kind = _get_source_kind(config)
pip_installer = config.get("pip_installer", "auto")
build_tools_to_uninstall = get_build_tools_to_uninstall(config)
if source_kind == "uv":
return python_config_to_docker_uv_lock(
config_path,
config,
base_image,
api_version=api_version,
build_tools_to_uninstall=build_tools_to_uninstall,
)
if pip_installer == "auto":
if _image_supports_uv(base_image):
pip_installer = "uv"
@@ -1116,11 +928,21 @@ def python_config_to_docker(
else:
raise ValueError(f"Invalid pip_installer: {pip_installer}")
(
local_reqs_pip_install,
global_reqs_pip_install,
pip_config_file_str,
) = _build_python_install_commands(config, install_cmd)
# configure pip
local_reqs_pip_install = f"PYTHONDONTWRITEBYTECODE=1 {install_cmd} --no-cache-dir -c /api/constraints.txt"
global_reqs_pip_install = f"PYTHONDONTWRITEBYTECODE=1 {install_cmd} --no-cache-dir -c /api/constraints.txt"
if config.get("pip_config_file"):
local_reqs_pip_install = (
f"PIP_CONFIG_FILE=/pipconfig.txt {local_reqs_pip_install}"
)
global_reqs_pip_install = (
f"PIP_CONFIG_FILE=/pipconfig.txt {global_reqs_pip_install}"
)
pip_config_file_str = (
f"ADD {config['pip_config_file']} /pipconfig.txt"
if config.get("pip_config_file")
else ""
)
# collect dependencies
pypi_deps = [dep for dep in config["dependencies"] if not dep.startswith(".")]
@@ -1176,7 +998,7 @@ RUN set -ex && \\
'[build-system]' \\
'requires = ["setuptools>=61"]' \\
'build-backend = "setuptools.build_meta"'; do \\
echo "$line" >> {shlex.quote(f"/deps/outer-{fullpath.name}/pyproject.toml")}; \\
echo "$line" >> /deps/outer-{fullpath.name}/pyproject.toml; \\
done
# -- End of non-package dependency {fullpath.name} --"""
for fullpath, (relpath, destpath) in local_deps.faux_pkgs.items()
@@ -1195,50 +1017,56 @@ ADD {relpath} /deps/{name}
for fullpath, (relpath, name) in local_deps.real_pkgs.items()
)
additional_contexts: dict[str, str] = {}
additional_context_names: dict[pathlib.Path, str] = {}
used_context_names: set[str] = set()
def register_additional_context(path: pathlib.Path, preferred_name: str) -> str:
if path in additional_context_names:
return additional_context_names[path]
name = preferred_name
suffix = 1
while name in used_context_names:
name = f"{preferred_name}_{suffix}"
suffix += 1
used_context_names.add(name)
additional_context_names[path] = name
additional_contexts[name] = str(path)
return name
for p in local_deps.additional_contexts:
if p in local_deps.real_pkgs:
preferred_name = local_deps.real_pkgs[p][1]
elif p in local_deps.faux_pkgs:
preferred_name = f"outer-{p.name}"
else:
raise RuntimeError(f"Unknown additional context: {p}")
register_additional_context(p, preferred_name)
install_node_str: str = (
"RUN /storage/install-node.sh"
if (config.get("ui") or config.get("node_version")) and local_deps.working_dir
else ""
)
install_steps = [install_node_str, pip_config_file_str, pip_pkgs_str, pip_reqs_str]
install_steps.extend([local_pkgs_str, faux_pkgs_str])
installs = f"{os.linesep}{os.linesep}".join(
filter(
None,
install_steps,
[
install_node_str,
pip_config_file_str,
pip_pkgs_str,
pip_reqs_str,
local_pkgs_str,
faux_pkgs_str,
],
)
)
env_vars = _build_runtime_env_vars(config)
env_vars = []
if (store_config := config.get("store")) is not None:
env_vars.append(f"ENV LANGGRAPH_STORE='{json.dumps(store_config)}'")
if (auth_config := config.get("auth")) is not None:
env_vars.append(f"ENV LANGGRAPH_AUTH='{json.dumps(auth_config)}'")
if (encryption_config := config.get("encryption")) is not None:
env_vars.append(f"ENV LANGGRAPH_ENCRYPTION='{json.dumps(encryption_config)}'")
if (http_config := config.get("http")) is not None:
env_vars.append(f"ENV LANGGRAPH_HTTP='{json.dumps(http_config)}'")
# Inject webhooks configuration if provided
if (webhooks_config := config.get("webhooks")) is not None:
env_vars.append(f"ENV LANGGRAPH_WEBHOOKS='{json.dumps(webhooks_config)}'")
if (checkpointer_config := config.get("checkpointer")) is not None:
env_vars.append(
f"ENV LANGGRAPH_CHECKPOINTER='{json.dumps(checkpointer_config)}'"
)
if (ui := config.get("ui")) is not None:
env_vars.append(f"ENV LANGGRAPH_UI='{json.dumps(ui)}'")
if (ui_config := config.get("ui_config")) is not None:
env_vars.append(f"ENV LANGGRAPH_UI_CONFIG='{json.dumps(ui_config)}'")
env_vars.append(f"ENV LANGSERVE_GRAPHS='{json.dumps(config['graphs'])}'")
js_inst_str: str = ""
if (config.get("ui") or config.get("node_version")) and local_deps.working_dir:
@@ -1246,8 +1074,7 @@ ADD {relpath} /deps/{name}
[
"# -- Installing JS dependencies --",
f"ENV NODE_VERSION={config.get('node_version') or DEFAULT_NODE_VERSION}",
f"WORKDIR {local_deps.working_dir}",
f"RUN {_get_node_pm_install_cmd(config_path.parent)} && tsx /api/langgraph_api/js/build.mts",
f"RUN cd {local_deps.working_dir} && {_get_node_pm_install_cmd(config_path, config)} && tsx /api/langgraph_api/js/build.mts",
"# -- End of JS dependencies install --",
]
)
@@ -1257,7 +1084,7 @@ ADD {relpath} /deps/{name}
docker_file_contents = []
# Add syntax directive if we have additional contexts (requires BuildKit frontend.contexts capability)
if additional_contexts:
if local_deps.additional_contexts:
docker_file_contents.extend(
[
"# syntax=docker/dockerfile:1.4",
@@ -1267,13 +1094,6 @@ ADD {relpath} /deps/{name}
# Add main dockerfile content
dep_vname = "$$dep" if escape_variables else "$dep"
local_deps_install_str = f"""RUN for dep in /deps/*; do \
echo "Installing {dep_vname}"; \
if [ -d "{dep_vname}" ]; then \
echo "Installing {dep_vname}"; \
(cd "{dep_vname}" && {global_reqs_pip_install} -e .); \
fi; \
done"""
docker_file_contents.extend(
[
f"FROM {image_str}",
@@ -1283,7 +1103,13 @@ ADD {relpath} /deps/{name}
installs,
"",
"# -- Installing all local dependencies --",
local_deps_install_str,
f"""RUN for dep in /deps/*; do \
echo "Installing {dep_vname}"; \
if [ -d "{dep_vname}" ]; then \
echo "Installing {dep_vname}"; \
(cd "{dep_vname}" && {global_reqs_pip_install} -e .); \
fi; \
done""",
"# -- End of local dependencies install --",
os.linesep.join(env_vars),
"",
@@ -1300,6 +1126,16 @@ ADD {relpath} /deps/{name}
]
)
additional_contexts: dict[str, str] = {}
for p in local_deps.additional_contexts:
if p in local_deps.real_pkgs:
name = local_deps.real_pkgs[p][1]
elif p in local_deps.faux_pkgs:
name = f"outer-{p.name}"
else:
raise RuntimeError(f"Unknown additional context: {p}")
additional_contexts[name] = str(p)
return os.linesep.join(docker_file_contents), additional_contexts
@@ -1313,10 +1149,6 @@ def node_config_to_docker(
build_context: str | None = None,
) -> tuple[str, dict[str, str]]:
# Calculate paths for monorepo support
install_root = (
pathlib.Path(build_context).resolve() if build_context else config_path.parent
)
install_cmd = install_command or _get_node_pm_install_cmd(install_root)
if build_context:
relative_workdir = _calculate_relative_workdir(config_path, build_context)
container_name = pathlib.Path(build_context).name
@@ -1328,32 +1160,60 @@ def node_config_to_docker(
# Backward compatibility: use the original behavior
faux_path = f"/deps/{config_path.parent.name}"
# Use custom install command or auto-detect
if install_command:
install_cmd = install_command
else:
install_cmd = _get_node_pm_install_cmd(config_path, config)
image_str = docker_tag(config, base_image, api_version)
env_vars = _build_runtime_env_vars(config)
env_vars: list[str] = []
if (store_config := config.get("store")) is not None:
env_vars.append(f"ENV LANGGRAPH_STORE='{json.dumps(store_config)}'")
if (auth_config := config.get("auth")) is not None:
env_vars.append(f"ENV LANGGRAPH_AUTH='{json.dumps(auth_config)}'")
if (encryption_config := config.get("encryption")) is not None:
env_vars.append(f"ENV LANGGRAPH_ENCRYPTION='{json.dumps(encryption_config)}'")
if (http_config := config.get("http")) is not None:
env_vars.append(f"ENV LANGGRAPH_HTTP='{json.dumps(http_config)}'")
# Inject webhooks configuration if provided
if (webhooks_config := config.get("webhooks")) is not None:
env_vars.append(f"ENV LANGGRAPH_WEBHOOKS='{json.dumps(webhooks_config)}'")
if (checkpointer_config := config.get("checkpointer")) is not None:
env_vars.append(
f"ENV LANGGRAPH_CHECKPOINTER='{json.dumps(checkpointer_config)}'"
)
if ui := config.get("ui"):
env_vars.append(f"ENV LANGGRAPH_UI='{json.dumps(ui)}'")
if ui_config := config.get("ui_config"):
env_vars.append(f"ENV LANGGRAPH_UI_CONFIG='{json.dumps(ui_config)}'")
env_vars.append(f"ENV LANGSERVE_GRAPHS='{json.dumps(config['graphs'])}'")
# For monorepo support, we need to handle install and build commands differently
if build_context:
# Monorepo case: install from root, build from config directory
container_root = f"/deps/{pathlib.Path(build_context).name}"
install_workdir = container_root
install_step = f"RUN {install_cmd}"
install_step = f"RUN cd {container_root} && {install_cmd}"
if build_command:
build_step = f"RUN {build_command}"
build_step = f"RUN cd {faux_path} && {build_command}"
else:
build_step = 'RUN (test ! -f /api/langgraph_api/js/build.mts && echo "Prebuild script not found, skipping") || tsx /api/langgraph_api/js/build.mts'
else:
# Original behavior: everything happens in the same directory
install_workdir = faux_path
install_step = f"RUN {install_cmd}"
install_step = f"RUN cd {faux_path} && {install_cmd}"
build_step = 'RUN (test ! -f /api/langgraph_api/js/build.mts && echo "Prebuild script not found, skipping") || tsx /api/langgraph_api/js/build.mts'
if build_context:
build_workdir = faux_path
else:
build_workdir = faux_path
docker_file_contents = [
f"FROM {image_str}",
"",
@@ -1361,13 +1221,11 @@ def node_config_to_docker(
"",
f"ADD . {faux_path if not build_context else container_root}",
"",
f"WORKDIR {install_workdir}",
"",
install_step,
"",
os.linesep.join(env_vars),
"",
f"WORKDIR {build_workdir}",
f"WORKDIR {faux_path}",
"",
build_step,
]
+63 -97
View File
@@ -1,7 +1,5 @@
from typing import Any, Literal, TypedDict
from typing_extensions import Required
Distros = Literal["debian", "wolfi", "bookworm"]
MiddlewareOrders = Literal["auth_first", "middleware_first"]
@@ -11,20 +9,20 @@ class TTLConfig(TypedDict, total=False):
refresh_on_read: bool
"""Default behavior for refreshing TTLs on read operations (`GET` and `SEARCH`).
If `True`, TTLs will be refreshed on read operations (get/search) by default.
This can be overridden per-operation by explicitly setting `refresh_ttl`.
Defaults to `True` if not configured.
"""
default_ttl: float | None
"""Optional. Default TTL (time-to-live) in minutes for new items.
If provided, all new items will have this TTL unless explicitly overridden.
If omitted, items will have no TTL by default.
"""
sweep_interval_minutes: int | None
"""Optional. Interval in minutes between TTL sweep iterations.
If provided, the store will periodically delete expired items based on the TTL.
If omitted, no automatic sweeping will occur.
"""
@@ -38,10 +36,10 @@ class IndexConfig(TypedDict, total=False):
dims: int
"""Required. Dimensionality of the embedding vectors you will store.
Must match the output dimension of your selected embedding model or custom embed function.
If mismatched, you will likely encounter shape/size errors when inserting or querying vectors.
Common embedding model output dimensions:
- openai:text-embedding-3-large: 3072
- openai:text-embedding-3-small: 1536
@@ -54,7 +52,7 @@ class IndexConfig(TypedDict, total=False):
embed: str
"""Required. Identifier or reference to the embedding model or a custom embedding function.
The format can vary:
- "<provider>:<model_name>" for recognized providers (e.g., "openai:text-embedding-3-large")
- "path/to/module.py:function_name" for your own local embedding function
@@ -64,17 +62,17 @@ class IndexConfig(TypedDict, total=False):
- "openai:text-embedding-3-large"
- "cohere:embed-multilingual-v3.0"
- "src/app.py:embeddings"
Note: Must return embeddings of dimension `dims`.
"""
fields: list[str] | None
"""Optional. List of JSON fields to extract before generating embeddings.
Defaults to ["$"], which means the entire JSON object is embedded as one piece of text.
If you provide multiple fields (e.g. ["title", "content"]), each is extracted and embedded separately,
often saving token usage if you only care about certain parts of the data.
Example:
fields=["title", "abstract", "author.biography"]
"""
@@ -89,18 +87,18 @@ class StoreConfig(TypedDict, total=False):
index: IndexConfig | None
"""Optional. Defines the vector-based semantic search configuration.
If provided, the store will:
- Generate embeddings according to `index.embed`
- Enforce the embedding dimension given by `index.dims`
- Embed only specified JSON fields (if any) from `index.fields`
If omitted, no vector index is initialized.
"""
ttl: TTLConfig | None
"""Optional. Defines the TTL (time-to-live) behavior configuration.
If provided, the store will apply TTL settings according to the configuration.
If omitted, no TTL behavior is configured.
"""
@@ -131,11 +129,11 @@ class SerdeConfig(TypedDict, total=False):
allowed_json_modules: list[list[str]] | bool | None
"""Optional. List of allowed python modules to de-serialize custom objects from JSON.
If provided, only the specified modules will be allowed to be deserialized.
If omitted, no modules are allowed, and the object returned will simply be a json object OR
a deserialized langchain object.
Example:
{...
"serde": {
@@ -180,11 +178,11 @@ class SerdeConfig(TypedDict, total=False):
"allowed_msgpack_modules": null
}
}
"""
pickle_fallback: bool
"""Optional. Whether to allow pickling as a fallback for deserialization.
If True, pickling will be allowed as a fallback for deserialization.
If False, pickling will not be allowed as a fallback for deserialization.
Defaults to True if not configured."""
@@ -218,7 +216,7 @@ class CheckpointerConfig(TypedDict, total=False):
ttl: ThreadTTLConfig | None
"""Optional. Defines the TTL (time-to-live) behavior configuration.
If provided, the checkpointer will apply TTL settings according to the configuration.
If omitted, no TTL behavior is configured.
"""
@@ -241,7 +239,7 @@ class SecurityConfig(TypedDict, total=False):
securitySchemes: dict[str, dict[str, Any]]
"""Describe each security scheme recognized by your OpenAPI spec.
Keys are scheme names (e.g. "OAuth2", "ApiKeyAuth") and values are their definitions.
Example:
{
@@ -258,7 +256,7 @@ class SecurityConfig(TypedDict, total=False):
"""
security: list[dict[str, list[str]]]
"""Global security requirements across all endpoints.
Each element in the list maps a security scheme (e.g. "OAuth2") to a list of scopes (e.g. ["read", "write"]).
Example:
[
@@ -269,11 +267,11 @@ class SecurityConfig(TypedDict, total=False):
# path => {method => security}
paths: dict[str, dict[str, list[dict[str, list[str]]]]]
"""Path-specific security overrides.
Keys are path templates (e.g., "/items/{item_id}"), mapping to:
- Keys that are HTTP methods (e.g., "GET", "POST"),
- Values are lists of security definitions (just like `security`) for that method.
Example:
{
"/private_data": {
@@ -287,19 +285,19 @@ class SecurityConfig(TypedDict, total=False):
class CacheConfig(TypedDict, total=False):
cache_keys: list[str]
"""Optional. List of header keys to use for caching.
Example:
["user_id", "workspace_id"]
"""
ttl_seconds: int
"""Optional. Time-to-live in seconds for cached items.
Example:
3600
"""
max_size: int
"""Optional. Maximum size of the cache.
Example:
100
"""
@@ -310,19 +308,19 @@ class AuthConfig(TypedDict, total=False):
path: str
"""Required. Path to an instance of the Auth() class that implements custom authentication.
Format: "path/to/file.py:my_auth"
"""
disable_studio_auth: bool
"""Optional. Whether to disable LangSmith API-key authentication for requests originating the Studio.
"""Optional. Whether to disable LangSmith API-key authentication for requests originating the Studio.
Defaults to False, meaning that if a particular header is set, the server will verify the `x-api-key` header
value is a valid API key for the deployment's workspace. If `True`, all requests will go through your custom
authentication logic, regardless of origin of the request.
"""
openapi: SecurityConfig
"""The security configuration to include in your server's OpenAPI spec.
Example (OAuth2):
{
"securitySchemes": {
@@ -343,7 +341,7 @@ class AuthConfig(TypedDict, total=False):
"""
cache: CacheConfig
"""Optional. Cache configuration for the server.
Example:
{
"cache_keys": ["user_id", "workspace_id"],
@@ -382,32 +380,32 @@ class CorsConfig(TypedDict, total=False):
allow_origins: list[str]
"""Optional. List of allowed origins (e.g., "https://example.com").
Default is often an empty list (no external origins).
Default is often an empty list (no external origins).
Use "*" only if you trust all origins, as that bypasses most restrictions.
"""
allow_methods: list[str]
"""Optional. HTTP methods permitted for cross-origin requests (e.g. ["GET", "POST"]).
Default might be ["GET", "POST", "OPTIONS"] depending on your server framework.
"""
allow_headers: list[str]
"""Optional. HTTP headers that can be used in cross-origin requests (e.g. ["Content-Type", "Authorization"])."""
allow_credentials: bool
"""Optional. If `True`, cross-origin requests can include credentials (cookies, auth headers).
Default False to avoid accidentally exposing secured endpoints to untrusted sites.
"""
allow_origin_regex: str
"""Optional. A regex pattern for matching allowed origins, used if you have dynamic subdomains.
Example: "^https://.*\\.mycompany\\.com$"
"""
expose_headers: list[str]
"""Optional. List of headers that browsers are allowed to read from the response in cross-origin contexts."""
max_age: int
"""Optional. How many seconds the browser may cache preflight responses.
Default might be 600 (10 minutes). Larger values reduce preflight requests but can cause stale configurations.
"""
@@ -444,61 +442,61 @@ class HttpConfig(TypedDict, total=False):
app: str
"""Optional. Import path to a custom Starlette/FastAPI application to mount.
Format: "path/to/module.py:app_var"
If provided, it can override or extend the default routes.
"""
disable_assistants: bool
"""Optional. If `True`, /assistants routes are removed from the server.
Default is False (meaning /assistants is enabled).
"""
disable_threads: bool
"""Optional. If `True`, /threads routes are removed.
Default is False.
"""
disable_runs: bool
"""Optional. If `True`, /runs routes are removed.
Default is False.
"""
disable_store: bool
"""Optional. If `True`, /store routes are removed, disabling direct store interactions via HTTP.
Default is False.
"""
disable_mcp: bool
"""Optional. If `True`, /mcp routes are removed, disabling default support to expose the deployment as an MCP server.
Default is False.
"""
disable_a2a: bool
"""Optional. If `True`, /a2a routes are removed, disabling default support to expose the deployment as an agent-to-agent (A2A) server.
Default is False.
"""
disable_meta: bool
"""Optional. Remove meta endpoints.
Set to True to disable the following endpoints: /openapi.json, /info, /metrics, /docs.
This will also make the /ok endpoint skip any DB or other checks, always returning {"ok": True}.
Default is False.
"""
disable_ui: bool
"""Optional. If `True`, /ui routes are removed, disabling the UI server.
Default is False.
"""
disable_webhooks: bool
"""Optional. If `True`, webhooks are disabled. Runs created with an associated webhook will
still be executed, but the webhook event will not be sent.
Default is False.
"""
cors: CorsConfig | None
"""Optional. Defines CORS restrictions. If omitted, no special rules are set and
"""Optional. Defines CORS restrictions. If omitted, no special rules are set and
cross-origin behavior depends on default server settings.
"""
configurable_headers: ConfigurableHeaderConfig | None
@@ -529,7 +527,7 @@ class HttpConfig(TypedDict, total=False):
"""
mount_prefix: str
"""Optional. URL prefix to prepend to all the routes.
Example:
"/api"
"""
@@ -590,33 +588,11 @@ class WebhooksConfig(TypedDict, total=False):
"""
class UvSource(TypedDict, total=False):
"""Deployment source rooted at a uv project or workspace."""
kind: Required[Literal["uv"]]
"""Discriminator for uv-backed deployment mode."""
root: str
"""Relative path from langgraph.json to the authoritative uv project root.
The resolved directory must contain `pyproject.toml` and `uv.lock`. If the
root is a workspace, package discovery happens within this root.
"""
package: str
"""Optional. Workspace package name to deploy when the target is ambiguous.
If omitted, the CLI tries to infer the target package from the location of
`langgraph.json`, or falls back to the only package if the root contains
exactly one candidate.
"""
class Config(TypedDict, total=False):
"""Top-level config for langgraph-cli or similar deployment tooling."""
python_version: str
"""Optional. Python version in 'major.minor' format (e.g. '3.11').
"""Optional. Python version in 'major.minor' format (e.g. '3.11').
Must be at least 3.11 or greater for this deployment to function properly.
"""
@@ -627,7 +603,7 @@ class Config(TypedDict, total=False):
api_version: str | None
"""Optional. Which semantic version of the LangGraph API server to use.
Defaults to latest. Check the
[changelog](https://docs.langchain.com/langgraph-platform/langgraph-server-changelog)
for more information."""
@@ -638,12 +614,12 @@ class Config(TypedDict, total=False):
base_image: str | None
"""Optional. Base image to use for the LangGraph API server.
Defaults to langchain/langgraph-api or langchain/langgraphjs-api."""
image_distro: Distros | None
"""Optional. Linux distribution for the base image.
Must be one of 'wolfi', 'debian', or 'bookworm'.
If omitted, defaults to 'debian' ('latest').
"""
@@ -651,30 +627,22 @@ class Config(TypedDict, total=False):
pip_config_file: str | None
"""Optional. Path to a pip config file (e.g., "/etc/pip.conf" or "pip.ini") for controlling
package installation (custom indices, credentials, etc.).
Only relevant if Python dependencies are installed via pip. If omitted, default pip settings are used.
"""
pip_installer: str | None
"""Optional. Python package installer to use ('auto', 'pip', or 'uv').
"""Optional. Python package installer to use ('auto', 'pip', 'uv').
- 'auto' (default): Use uv for supported base images, otherwise pip
- 'pip': Force use of pip regardless of base image support
- 'uv': Force use of uv (will fail if base image doesn't support it)
"""
source: UvSource | None
"""Optional. Explicit deployment source configuration.
Use `{ "kind": "uv", "root": "." }` to deploy from a uv project rooted at
`root/pyproject.toml` and `root/uv.lock`. If `root` is a workspace and the
target is ambiguous, set `package` to the desired workspace member.
"""
dockerfile_lines: list[str]
"""Optional. Additional Docker instructions that will be appended to your base Dockerfile.
Useful for installing OS packages, setting environment variables, etc.
Useful for installing OS packages, setting environment variables, etc.
Example:
dockerfile_lines=[
"RUN apt-get update && apt-get install -y libmagic-dev",
@@ -684,14 +652,12 @@ class Config(TypedDict, total=False):
dependencies: list[str]
"""List of Python dependencies to install, either from PyPI or local paths.
Examples:
- "." or "./src" if you have a local Python package
- str (aka "anthropic") for a PyPI package
- "git+https://github.com/org/repo.git@main" for a Git-based package
Defaults to an empty list, meaning no additional packages installed beyond your base environment.
This field is not supported when `source.kind` is `uv`.
"""
graphs: dict[str, str | GraphDef]
@@ -716,10 +682,10 @@ class Config(TypedDict, total=False):
env: dict[str, str] | str
"""Optional. Environment variables to set for your deployment.
- If given as a dict, keys are variable names and values are their values.
- If given as a string, it must be a path to a file containing lines in KEY=VALUE format.
Example as a dict:
env={"API_TOKEN": "abc123", "DEBUG": "true"}
Example as a file path:
@@ -728,13 +694,13 @@ class Config(TypedDict, total=False):
store: StoreConfig | None
"""Optional. Configuration for the built-in long-term memory store, including semantic search indexing.
If omitted, no vector index is set up (the object store will still be present, however).
"""
checkpointer: CheckpointerConfig | None
"""Optional. Configuration for the built-in checkpointer, which handles checkpointing of state.
If omitted, no checkpointer is set up (the object store will still be present, however).
"""
@@ -767,7 +733,7 @@ class Config(TypedDict, total=False):
keep_pkg_tools: bool | list[str] | None
"""Optional. Control whether to retain Python packaging tools in the final image.
Allowed tools are: "pip", "setuptools", "wheel".
You can also set to true to include all packaging tools.
"""
File diff suppressed because it is too large Load Diff
+1 -2
View File
@@ -17,13 +17,12 @@ dependencies = [
"langgraph-sdk>=0.1.0 ; python_version >= '3.11'",
"pathspec>=0.11.0",
"python-dotenv>=0.8.0",
"tomli>=2.0.1 ; python_version < '3.11'",
]
[tool.hatch.version]
path = "langgraph_cli/__init__.py"
[project.optional-dependencies]
inmem = [
"langgraph-api>=0.5.35,<0.9.0 ; python_version >= '3.11'",
"langgraph-api>=0.5.35,<0.8.0 ; python_version >= '3.11'",
"langgraph-runtime-inmem>=0.7 ; python_version >= '3.11'",
]
+4 -289
View File
@@ -184,28 +184,13 @@
"pip_installer": {
"anyOf": [
{
"type": "string",
"enum": [
"auto",
"pip",
"uv"
]
},
{
"type": "null"
}
]
},
"source": {
"anyOf": [
{
"$ref": "#/$defs/UvSource"
"type": "string"
},
{
"type": "null"
}
],
"description": "Optional. Explicit deployment source configuration.\n\n`root/pyproject.toml` and `root/uv.lock`. If `root` is a workspace and the\ntarget is ambiguous, set `package` to the desired workspace member.\n"
"description": "Optional. Python package installer to use ('auto', 'pip', 'uv').\n\n"
},
"store": {
"anyOf": [
@@ -249,240 +234,6 @@
"graphs"
]
},
{
"type": "object",
"properties": {
"python_version": {
"type": "string",
"description": "Optional. Python version in 'major.minor' format (e.g. '3.11').\nMust be at least 3.11 or greater for this deployment to function properly.\n",
"enum": [
"3.11",
"3.12",
"3.13"
]
},
"pip_config_file": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"description": "Optional. Path to a pip config file (e.g., \"/etc/pip.conf\" or \"pip.ini\") for controlling\npackage installation (custom indices, credentials, etc.).\n\nOnly relevant if Python dependencies are installed via pip. If omitted, default pip settings are used.\n"
},
"_INTERNAL_docker_tag": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"description": "Optional. Internal use only.\n"
},
"api_version": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"description": "Optional. Which semantic version of the LangGraph API server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
},
"auth": {
"anyOf": [
{
"$ref": "#/$defs/AuthConfig"
},
{
"type": "null"
}
],
"description": "Optional. Custom authentication config, including the path to your Python auth logic and\nthe OpenAPI security definitions it uses.\n"
},
"base_image": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"description": "Optional. Base image to use for the LangGraph API server.\n\nDefaults to langchain/langgraph-api or langchain/langgraphjs-api.\n"
},
"checkpointer": {
"anyOf": [
{
"$ref": "#/$defs/CheckpointerConfig"
},
{
"type": "null"
}
],
"description": "Optional. Configuration for the built-in checkpointer, which handles checkpointing of state.\n\nIf omitted, no checkpointer is set up (the object store will still be present, however).\n"
},
"dependencies": {
"type": "array",
"items": {
"type": "string"
},
"description": "List of Python dependencies to install, either from PyPI or local paths.\n"
},
"dockerfile_lines": {
"type": "array",
"items": {
"type": "string"
},
"description": "Optional. Additional Docker instructions that will be appended to your base Dockerfile.\n\nUseful for installing OS packages, setting environment variables, etc."
},
"encryption": {
"anyOf": [
{
"$ref": "#/$defs/EncryptionConfig"
},
{
"type": "null"
}
],
"description": "Optional. Custom at-rest encryption config, including the path to your Python encryption logic.\n\nAllows you to implement custom encryption for sensitive data stored in the database.\n"
},
"env": {
"anyOf": [
{
"type": "object",
"additionalProperties": {
"type": "string"
}
},
{
"type": "string"
}
],
"description": "Optional. Environment variables to set for your deployment.\n\n- If given as a dict, keys are variable names and values are their values.\n- If given as a string, it must be a path to a file containing lines in KEY=VALUE format.\n\nenv=\".env\n"
},
"graphs": {
"type": "object",
"additionalProperties": {
"anyOf": [
{
"type": "string"
},
{
"$ref": "#/$defs/GraphDef"
}
]
},
"description": "Optional. Named definitions of graphs, each pointing to a Python object.\n\n\nGraphs can be StateGraph, @entrypoint, or any other Pregel object OR they can point to (async) context\nmanagers that accept a single configuration argument (of type RunnableConfig) and return a pregel object\n(instance of Stategraph, etc.).\n\nor objects with a \"path\" key and optional \"description\" key."
},
"http": {
"anyOf": [
{
"$ref": "#/$defs/HttpConfig"
},
{
"type": "null"
}
],
"description": "Optional. Configuration for the built-in HTTP server, controlling which custom routes are exposed\nand how cross-origin requests are handled.\n"
},
"image_distro": {
"anyOf": [
{
"enum": [
"bookworm",
"debian",
"wolfi"
]
},
{
"type": "null"
}
],
"description": "Optional. Linux distribution for the base image.\n\nMust be one of 'wolfi', 'debian', or 'bookworm'.\nIf omitted, defaults to 'debian' ('latest').\n"
},
"keep_pkg_tools": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "array",
"items": {
"type": "string"
}
},
{
"type": "null"
}
],
"description": "Optional. Control whether to retain Python packaging tools in the final image.\n\nYou can also set to true to include all packaging tools.\n"
},
"pip_installer": {
"anyOf": [
{
"type": "string",
"enum": [
"auto",
"pip",
"uv"
]
},
{
"type": "null"
}
]
},
"source": {
"$ref": "#/$defs/UvSource"
},
"store": {
"anyOf": [
{
"$ref": "#/$defs/StoreConfig"
},
{
"type": "null"
}
],
"description": "Optional. Configuration for the built-in long-term memory store, including semantic search indexing.\n\nIf omitted, no vector index is set up (the object store will still be present, however).\n"
},
"ui": {
"anyOf": [
{
"type": "object",
"additionalProperties": {
"type": "string"
}
},
{
"type": "null"
}
],
"description": "Optional. Named definitions of UI components emitted by the agent, each pointing to a JS/TS file.\n"
},
"webhooks": {
"anyOf": [
{
"$ref": "#/$defs/WebhooksConfig"
},
{
"type": "null"
}
],
"description": "Optional. Webhooks configuration for outbound event delivery.\n\nForwarded into the container as `LANGGRAPH_WEBHOOKS`. See `WebhooksConfig`\nfor URL policy and header templating details.\n"
}
},
"required": [
"graphs",
"source"
]
},
{
"type": "object",
"properties": {
@@ -654,28 +405,13 @@
"pip_installer": {
"anyOf": [
{
"type": "string",
"enum": [
"auto",
"pip",
"uv"
]
},
{
"type": "null"
}
]
},
"source": {
"anyOf": [
{
"$ref": "#/$defs/UvSource"
"type": "string"
},
{
"type": "null"
}
],
"description": "Optional. Explicit deployment source configuration.\n\n`root/pyproject.toml` and `root/uv.lock`. If `root` is a workspace and the\ntarget is ambiguous, set `package` to the desired workspace member.\n"
"description": "Optional. Python package installer to use ('auto', 'pip', 'uv').\n\n"
},
"store": {
"anyOf": [
@@ -1170,27 +906,6 @@
},
"required": []
},
"UvSource": {
"title": "UvSource",
"description": "Deployment source rooted at a uv project or workspace.",
"type": "object",
"properties": {
"kind": {
"enum": [
"uv"
]
},
"package": {
"type": "string"
},
"root": {
"type": "string"
}
},
"required": [
"kind"
]
},
"StoreConfig": {
"title": "StoreConfig",
"description": "Configuration for the built-in long-term memory store.\n\nThis store can optionally perform semantic search. If you omit `index`,\nthe store will just handle traditional (non-embedded) data without vector lookups.",
+4 -289
View File
@@ -184,28 +184,13 @@
"pip_installer": {
"anyOf": [
{
"type": "string",
"enum": [
"auto",
"pip",
"uv"
]
},
{
"type": "null"
}
]
},
"source": {
"anyOf": [
{
"$ref": "#/$defs/UvSource"
"type": "string"
},
{
"type": "null"
}
],
"description": "Optional. Explicit deployment source configuration.\n\n`root/pyproject.toml` and `root/uv.lock`. If `root` is a workspace and the\ntarget is ambiguous, set `package` to the desired workspace member.\n"
"description": "Optional. Python package installer to use ('auto', 'pip', 'uv').\n\n"
},
"store": {
"anyOf": [
@@ -249,240 +234,6 @@
"graphs"
]
},
{
"type": "object",
"properties": {
"python_version": {
"type": "string",
"description": "Optional. Python version in 'major.minor' format (e.g. '3.11').\nMust be at least 3.11 or greater for this deployment to function properly.\n",
"enum": [
"3.11",
"3.12",
"3.13"
]
},
"pip_config_file": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"description": "Optional. Path to a pip config file (e.g., \"/etc/pip.conf\" or \"pip.ini\") for controlling\npackage installation (custom indices, credentials, etc.).\n\nOnly relevant if Python dependencies are installed via pip. If omitted, default pip settings are used.\n"
},
"_INTERNAL_docker_tag": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"description": "Optional. Internal use only.\n"
},
"api_version": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"description": "Optional. Which semantic version of the LangGraph API server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
},
"auth": {
"anyOf": [
{
"$ref": "#/$defs/AuthConfig"
},
{
"type": "null"
}
],
"description": "Optional. Custom authentication config, including the path to your Python auth logic and\nthe OpenAPI security definitions it uses.\n"
},
"base_image": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"description": "Optional. Base image to use for the LangGraph API server.\n\nDefaults to langchain/langgraph-api or langchain/langgraphjs-api.\n"
},
"checkpointer": {
"anyOf": [
{
"$ref": "#/$defs/CheckpointerConfig"
},
{
"type": "null"
}
],
"description": "Optional. Configuration for the built-in checkpointer, which handles checkpointing of state.\n\nIf omitted, no checkpointer is set up (the object store will still be present, however).\n"
},
"dependencies": {
"type": "array",
"items": {
"type": "string"
},
"description": "List of Python dependencies to install, either from PyPI or local paths.\n"
},
"dockerfile_lines": {
"type": "array",
"items": {
"type": "string"
},
"description": "Optional. Additional Docker instructions that will be appended to your base Dockerfile.\n\nUseful for installing OS packages, setting environment variables, etc."
},
"encryption": {
"anyOf": [
{
"$ref": "#/$defs/EncryptionConfig"
},
{
"type": "null"
}
],
"description": "Optional. Custom at-rest encryption config, including the path to your Python encryption logic.\n\nAllows you to implement custom encryption for sensitive data stored in the database.\n"
},
"env": {
"anyOf": [
{
"type": "object",
"additionalProperties": {
"type": "string"
}
},
{
"type": "string"
}
],
"description": "Optional. Environment variables to set for your deployment.\n\n- If given as a dict, keys are variable names and values are their values.\n- If given as a string, it must be a path to a file containing lines in KEY=VALUE format.\n\nenv=\".env\n"
},
"graphs": {
"type": "object",
"additionalProperties": {
"anyOf": [
{
"type": "string"
},
{
"$ref": "#/$defs/GraphDef"
}
]
},
"description": "Optional. Named definitions of graphs, each pointing to a Python object.\n\n\nGraphs can be StateGraph, @entrypoint, or any other Pregel object OR they can point to (async) context\nmanagers that accept a single configuration argument (of type RunnableConfig) and return a pregel object\n(instance of Stategraph, etc.).\n\nor objects with a \"path\" key and optional \"description\" key."
},
"http": {
"anyOf": [
{
"$ref": "#/$defs/HttpConfig"
},
{
"type": "null"
}
],
"description": "Optional. Configuration for the built-in HTTP server, controlling which custom routes are exposed\nand how cross-origin requests are handled.\n"
},
"image_distro": {
"anyOf": [
{
"enum": [
"bookworm",
"debian",
"wolfi"
]
},
{
"type": "null"
}
],
"description": "Optional. Linux distribution for the base image.\n\nMust be one of 'wolfi', 'debian', or 'bookworm'.\nIf omitted, defaults to 'debian' ('latest').\n"
},
"keep_pkg_tools": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "array",
"items": {
"type": "string"
}
},
{
"type": "null"
}
],
"description": "Optional. Control whether to retain Python packaging tools in the final image.\n\nYou can also set to true to include all packaging tools.\n"
},
"pip_installer": {
"anyOf": [
{
"type": "string",
"enum": [
"auto",
"pip",
"uv"
]
},
{
"type": "null"
}
]
},
"source": {
"$ref": "#/$defs/UvSource"
},
"store": {
"anyOf": [
{
"$ref": "#/$defs/StoreConfig"
},
{
"type": "null"
}
],
"description": "Optional. Configuration for the built-in long-term memory store, including semantic search indexing.\n\nIf omitted, no vector index is set up (the object store will still be present, however).\n"
},
"ui": {
"anyOf": [
{
"type": "object",
"additionalProperties": {
"type": "string"
}
},
{
"type": "null"
}
],
"description": "Optional. Named definitions of UI components emitted by the agent, each pointing to a JS/TS file.\n"
},
"webhooks": {
"anyOf": [
{
"$ref": "#/$defs/WebhooksConfig"
},
{
"type": "null"
}
],
"description": "Optional. Webhooks configuration for outbound event delivery.\n\nForwarded into the container as `LANGGRAPH_WEBHOOKS`. See `WebhooksConfig`\nfor URL policy and header templating details.\n"
}
},
"required": [
"graphs",
"source"
]
},
{
"type": "object",
"properties": {
@@ -654,28 +405,13 @@
"pip_installer": {
"anyOf": [
{
"type": "string",
"enum": [
"auto",
"pip",
"uv"
]
},
{
"type": "null"
}
]
},
"source": {
"anyOf": [
{
"$ref": "#/$defs/UvSource"
"type": "string"
},
{
"type": "null"
}
],
"description": "Optional. Explicit deployment source configuration.\n\n`root/pyproject.toml` and `root/uv.lock`. If `root` is a workspace and the\ntarget is ambiguous, set `package` to the desired workspace member.\n"
"description": "Optional. Python package installer to use ('auto', 'pip', 'uv').\n\n"
},
"store": {
"anyOf": [
@@ -1170,27 +906,6 @@
},
"required": []
},
"UvSource": {
"title": "UvSource",
"description": "Deployment source rooted at a uv project or workspace.",
"type": "object",
"properties": {
"kind": {
"enum": [
"uv"
]
},
"package": {
"type": "string"
},
"root": {
"type": "string"
}
},
"required": [
"kind"
]
},
"StoreConfig": {
"title": "StoreConfig",
"description": "Configuration for the built-in long-term memory store.\n\nThis store can optionally perform semantic search. If you omit `index`,\nthe store will just handle traditional (non-embedded) data without vector lookups.",
@@ -99,13 +99,6 @@ class TestBuildIgnoreSpec:
assert spec.match_file("app.log")
assert spec.match_file("mod.pyc")
def test_can_skip_gitignore(self, tmp_path):
(tmp_path / ".dockerignore").write_text("*.log\n")
(tmp_path / ".gitignore").write_text("*.pyc\n")
spec = _build_ignore_spec(tmp_path, include_gitignore=False)
assert spec.match_file("app.log")
assert not spec.match_file("mod.pyc")
def test_no_ignore_files_only_builtins(self, tmp_path):
spec = _build_ignore_spec(tmp_path)
assert spec.match_file("__pycache__/")
File diff suppressed because it is too large Load Diff
@@ -1 +0,0 @@
OPENAI_API_KEY=
@@ -1,12 +0,0 @@
{
"python_version": "3.12",
"graphs": {
"agent": "./src/agent/graph.py:graph"
},
"source": {
"kind": "uv",
"root": "../..",
"package": "agent"
},
"env": ".env"
}
@@ -1,20 +0,0 @@
[project]
name = "agent"
version = "0.0.1"
description = "Agent for the uv monorepo example"
requires-python = ">=3.11"
dependencies = [
"langgraph>=0.6.0,<2",
"langchain-core>=0.2.14",
"shared",
]
[build-system]
requires = ["setuptools>=73.0.0", "wheel"]
build-backend = "setuptools.build_meta"
[tool.setuptools]
packages = ["agent"]
[tool.setuptools.package-dir]
"agent" = "src/agent"
@@ -1,31 +0,0 @@
from collections.abc import Sequence
from typing import Annotated, TypedDict
from langchain_core.messages import AIMessage, BaseMessage
from langgraph.graph import END, START, StateGraph
from langgraph.graph.message import add_messages
from shared import get_dummy_message
class State(TypedDict):
messages: Annotated[Sequence[BaseMessage], add_messages]
def call_model(state: State) -> dict:
dummy_message = get_dummy_message()
message = AIMessage(content=f"Agent says: {dummy_message}")
return {"messages": [message]}
def should_continue(state: State):
if len(state["messages"]) > 0:
return END
return "call_model"
workflow = StateGraph(State)
workflow.add_node("call_model", call_model)
workflow.add_edge(START, "call_model")
workflow.add_conditional_edges("call_model", should_continue)
graph = workflow.compile()
@@ -1,16 +0,0 @@
[project]
name = "shared"
version = "0.0.1"
description = "Shared utilities for the uv monorepo example"
requires-python = ">=3.11"
dependencies = []
[build-system]
requires = ["setuptools>=73.0.0", "wheel"]
build-backend = "setuptools.build_meta"
[tool.setuptools]
packages = ["shared"]
[tool.setuptools.package-dir]
"shared" = "src/shared"
@@ -1,3 +0,0 @@
from .utils import get_dummy_message
__all__ = ["get_dummy_message"]
@@ -1,2 +0,0 @@
def get_dummy_message() -> str:
return "Hello from shared library!"
@@ -1,22 +0,0 @@
[project]
name = "uv-monorepo-example"
version = "0.0.1"
description = "uv workspace monorepo example for LangGraph CLI integration test"
requires-python = ">=3.11"
dependencies = [
"langgraph>=0.6.0,<2",
"langchain-core>=0.2.14",
]
[tool.uv.workspace]
members = ["apps/*", "libs/*"]
[tool.uv.sources]
shared = { workspace = true }
[tool.uv]
package = false
[build-system]
requires = ["setuptools>=73.0.0", "wheel"]
build-backend = "setuptools.build_meta"
-893
View File
@@ -1,893 +0,0 @@
version = 1
revision = 3
requires-python = ">=3.11"
[manifest]
members = [
"agent",
"shared",
"uv-monorepo-example",
]
[[package]]
name = "agent"
version = "0.0.1"
source = { editable = "apps/agent" }
dependencies = [
{ name = "langchain-core" },
{ name = "langgraph" },
{ name = "shared" },
]
[package.metadata]
requires-dist = [
{ name = "langchain-core", specifier = ">=0.2.14" },
{ name = "langgraph", specifier = ">=0.6.0,<2" },
{ name = "shared", editable = "libs/shared" },
]
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version = "0.7.0"
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]
-1
View File
@@ -1 +0,0 @@
OPENAI_API_KEY=
@@ -1,11 +0,0 @@
{
"python_version": "3.12",
"graphs": {
"agent": "./src/agent/graph.py:graph"
},
"source": {
"kind": "uv",
"root": "."
},
"env": ".env"
}
@@ -1,19 +0,0 @@
[project]
name = "simple-uv-agent"
version = "0.1.0"
description = "Simple single-package uv example for LangGraph CLI integration test"
requires-python = ">=3.11"
dependencies = [
"langgraph>=0.6.0,<2",
"langchain-core>=0.2.14",
]
[build-system]
requires = ["setuptools>=73.0.0", "wheel"]
build-backend = "setuptools.build_meta"
[tool.setuptools]
packages = ["agent"]
[tool.setuptools.package-dir]
"agent" = "src/agent"
@@ -1,29 +0,0 @@
from collections.abc import Sequence
from typing import Annotated, TypedDict
from langchain_core.messages import AIMessage, BaseMessage
from langgraph.graph import END, START, StateGraph
from langgraph.graph.message import add_messages
class State(TypedDict):
messages: Annotated[Sequence[BaseMessage], add_messages]
def call_model(state: State) -> dict:
message = AIMessage(content="Hello from simple uv agent!")
return {"messages": [message]}
def should_continue(state: State):
if len(state["messages"]) > 0:
return END
return "call_model"
workflow = StateGraph(State)
workflow.add_node("call_model", call_model)
workflow.add_edge(START, "call_model")
workflow.add_conditional_edges("call_model", should_continue)
graph = workflow.compile()
-864
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@@ -1,864 +0,0 @@
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+740 -830
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+43 -76
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@@ -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
@@ -76,6 +76,32 @@ def patch_checkpoint_map(
return config
def _merge_callbacks(base: Callbacks, new: Callbacks) -> Callbacks:
# callbacks can be either None, list[handler] or manager
# so merging two callbacks values has 6 cases
if base is None:
if isinstance(new, (list, BaseCallbackManager)):
return new.copy()
return new
if isinstance(new, list):
if isinstance(base, list):
return base + new
if isinstance(base, BaseCallbackManager):
mngr = base.copy()
for cb in new:
mngr.add_handler(cb, inherit=True)
return mngr
elif isinstance(new, BaseCallbackManager):
if isinstance(base, list):
mngr = new.copy()
for cb in base:
mngr.add_handler(cb, inherit=True)
return mngr
if isinstance(base, BaseCallbackManager):
return base.merge(new)
raise NotImplementedError(f"Unsupported callback types: {type(base)}, {type(new)}")
def merge_configs(*configs: RunnableConfig | None) -> RunnableConfig:
"""Merge multiple configs into one.
@@ -110,34 +136,9 @@ def merge_configs(*configs: RunnableConfig | None) -> RunnableConfig:
else:
base[key] = value
elif key == "callbacks":
base_callbacks = base.get("callbacks")
# callbacks can be either None, list[handler] or manager
# so merging two callbacks values has 6 cases
if isinstance(value, list):
if base_callbacks is None:
base["callbacks"] = value.copy()
elif isinstance(base_callbacks, list):
base["callbacks"] = base_callbacks + value
else:
# base_callbacks is a manager
mngr = base_callbacks.copy()
for callback in value:
mngr.add_handler(callback, inherit=True)
base["callbacks"] = mngr
elif isinstance(value, BaseCallbackManager):
# value is a manager
if base_callbacks is None:
base["callbacks"] = value.copy()
elif isinstance(base_callbacks, list):
mngr = value.copy()
for callback in base_callbacks:
mngr.add_handler(callback, inherit=True)
base["callbacks"] = mngr
else:
# base_callbacks is also a manager
base["callbacks"] = base_callbacks.merge(value)
else:
raise NotImplementedError
base["callbacks"] = _merge_callbacks(
base.get("callbacks"), cast(Callbacks, value)
)
elif key == "recursion_limit":
if config["recursion_limit"] != DEFAULT_RECURSION_LIMIT:
base["recursion_limit"] = config["recursion_limit"]
@@ -217,16 +218,14 @@ 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 +256,14 @@ 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:
@@ -307,59 +304,29 @@ def ensure_config(*configs: RunnableConfig | None) -> RunnableConfig:
if _is_not_empty(v) and k in CONFIG_KEYS:
if k == CONF:
empty[k] = cast(dict, v).copy()
elif k == "callbacks" and isinstance(v, (list, BaseCallbackManager)):
empty["callbacks"] = _merge_callbacks(empty.get("callbacks"), v)
else:
empty[k] = v # type: ignore[literal-required]
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",
)
)
-394
View File
@@ -1,394 +0,0 @@
"""Graph lifecycle callback interfaces and event payloads.
This module defines the public callback surface for observing LangGraph-specific
lifecycle transitions such as interrupt and resume.
"""
from __future__ import annotations
from collections.abc import Sequence
from dataclasses import dataclass
from typing import Any, Literal, TypeAlias, TypeVar
from uuid import UUID
from langchain_core.callbacks import BaseCallbackHandler, BaseCallbackManager
from langchain_core.callbacks.manager import ahandle_event, handle_event
from langchain_core.runnables import RunnableConfig
from langgraph.types import Interrupt
__all__ = (
"GraphCallbackHandler",
"GraphInterruptEvent",
"GraphLifecycleEvent",
"GraphLifecycleStatus",
"GraphResumeEvent",
"get_async_graph_callback_manager_for_config",
"get_sync_graph_callback_manager_for_config",
)
GraphLifecycleStatus: TypeAlias = Literal[
"input",
"pending",
"done",
"interrupt_before",
"interrupt_after",
"out_of_steps",
]
"""Allowed lifecycle statuses reported in graph lifecycle callback events."""
@dataclass(frozen=True)
class GraphInterruptEvent:
"""Graph lifecycle event emitted when execution pauses for interrupts."""
run_id: UUID | None
"""Run id for the current graph execution, if available."""
status: GraphLifecycleStatus
"""Loop status when the interrupt was captured."""
checkpoint_id: str
"""Checkpoint id associated with the interrupted execution."""
checkpoint_ns: tuple[str, ...]
"""Checkpoint namespace path for the current graph or subgraph."""
interrupts: tuple[Interrupt, ...]
"""Interrupt payloads that caused the graph to pause."""
@dataclass(frozen=True)
class GraphResumeEvent:
"""Graph lifecycle event emitted when execution resumes from a checkpoint."""
run_id: UUID | None
"""Run id for the current graph execution, if available."""
status: GraphLifecycleStatus
"""Loop status when the resume was captured."""
checkpoint_id: str
"""Checkpoint id the graph resumed from."""
checkpoint_ns: tuple[str, ...]
"""Checkpoint namespace path for the current graph or subgraph."""
GraphLifecycleEvent: TypeAlias = GraphInterruptEvent | GraphResumeEvent
"""Union of all public graph lifecycle callback event payloads.
Use this alias when a callback or helper can receive either interrupt or resume
lifecycle events.
"""
class GraphCallbackHandler(BaseCallbackHandler):
"""Base class for graph-level lifecycle callbacks.
Subclass this handler to observe graph lifecycle transitions that are
specific to LangGraph execution, rather than generic LangChain runnable
callbacks.
Instances can be passed through `config["callbacks"]` when invoking a
graph. Only handlers that inherit from `GraphCallbackHandler` receive these
lifecycle events.
"""
def on_interrupt(self, event: GraphInterruptEvent) -> Any:
"""Run when graph execution pauses due to one or more interrupts.
Args:
event: Interrupt lifecycle event payload.
"""
def on_resume(self, event: GraphResumeEvent) -> Any:
"""Run when graph execution resumes from a persisted checkpoint.
Args:
event: Resume lifecycle event payload.
"""
_MISSING = object()
def _filter_graph_handlers(
handlers: list[BaseCallbackHandler],
) -> list[GraphCallbackHandler]:
return [h for h in handlers if isinstance(h, GraphCallbackHandler)]
def _init_base_manager(
manager: BaseCallbackManager,
handlers: Sequence[GraphCallbackHandler] | None,
inheritable_handlers: Sequence[GraphCallbackHandler] | None,
parent_run_id: UUID | None,
*,
tags: list[str] | None,
inheritable_tags: list[str] | None,
metadata: dict[str, Any] | None,
inheritable_metadata: dict[str, Any] | None,
run_id: UUID | None,
) -> None:
base_handlers: list[BaseCallbackHandler] = []
base_inheritable_handlers: list[BaseCallbackHandler] = []
if handlers is not None:
base_handlers.extend(handlers)
if inheritable_handlers is not None:
base_inheritable_handlers.extend(inheritable_handlers)
BaseCallbackManager.__init__(
manager,
handlers=base_handlers,
inheritable_handlers=base_inheritable_handlers,
parent_run_id=parent_run_id,
tags=tags,
inheritable_tags=inheritable_tags,
metadata=metadata,
inheritable_metadata=inheritable_metadata,
)
manager.run_id = run_id # type: ignore[attr-defined]
def _configure_graph_callbacks(
cls: type[_GraphManagerT],
callbacks: object | None,
*,
run_id: UUID | None,
) -> _GraphManagerT:
if callbacks is None:
return cls(run_id=run_id)
if isinstance(callbacks, cls):
return callbacks.copy(run_id=run_id)
if isinstance(callbacks, (_GraphCallbackManager, _AsyncGraphCallbackManager)):
# Cross-type: extract handlers into the requested cls.
return cls(
handlers=_filter_graph_handlers(callbacks.handlers),
inheritable_handlers=_filter_graph_handlers(callbacks.inheritable_handlers),
parent_run_id=callbacks.parent_run_id,
tags=callbacks.tags.copy(),
inheritable_tags=callbacks.inheritable_tags.copy(),
metadata=callbacks.metadata.copy(),
inheritable_metadata=callbacks.inheritable_metadata.copy(),
run_id=run_id,
)
if isinstance(callbacks, BaseCallbackManager):
return cls(
handlers=_filter_graph_handlers(callbacks.handlers),
inheritable_handlers=_filter_graph_handlers(callbacks.inheritable_handlers),
parent_run_id=callbacks.parent_run_id,
tags=callbacks.tags.copy(),
inheritable_tags=callbacks.inheritable_tags.copy(),
metadata=callbacks.metadata.copy(),
inheritable_metadata=callbacks.inheritable_metadata.copy(),
run_id=run_id,
)
if isinstance(callbacks, GraphCallbackHandler):
return cls((callbacks,), run_id=run_id)
if isinstance(callbacks, (str, bytes)) or not isinstance(callbacks, Sequence):
raise TypeError("callbacks must be a handler, sequence, or manager")
return cls(_filter_graph_handlers(list(callbacks)), run_id=run_id)
def _copy_graph_manager(
manager: _GraphCallbackManager | _AsyncGraphCallbackManager,
cls: type[_GraphManagerT],
run_id: UUID | None | object,
) -> _GraphManagerT:
resolved_run_id: UUID | None
if run_id is _MISSING:
resolved_run_id = manager.run_id
else:
if run_id is not None and not isinstance(run_id, UUID):
raise TypeError("run_id must be a UUID or None")
resolved_run_id = run_id
return cls(
handlers=_filter_graph_handlers(manager.handlers),
inheritable_handlers=_filter_graph_handlers(manager.inheritable_handlers),
parent_run_id=manager.parent_run_id,
tags=manager.tags.copy(),
inheritable_tags=manager.inheritable_tags.copy(),
metadata=manager.metadata.copy(),
inheritable_metadata=manager.inheritable_metadata.copy(),
run_id=resolved_run_id,
)
class _GraphCallbackManager(BaseCallbackManager):
"""Sync dispatcher for graph lifecycle events."""
run_id: UUID | None
def __init__(
self,
handlers: Sequence[GraphCallbackHandler] | None = None,
inheritable_handlers: Sequence[GraphCallbackHandler] | None = None,
parent_run_id: UUID | None = None,
*,
tags: list[str] | None = None,
inheritable_tags: list[str] | None = None,
metadata: dict[str, Any] | None = None,
inheritable_metadata: dict[str, Any] | None = None,
run_id: UUID | None = None,
) -> None:
_init_base_manager(
self,
handlers,
inheritable_handlers,
parent_run_id,
tags=tags,
inheritable_tags=inheritable_tags,
metadata=metadata,
inheritable_metadata=inheritable_metadata,
run_id=run_id,
)
def copy(
self,
*,
run_id: UUID | None | object = _MISSING,
) -> _GraphCallbackManager:
return _copy_graph_manager(self, _GraphCallbackManager, run_id)
@classmethod
def configure(
cls,
callbacks: object | None = None,
*,
run_id: UUID | None = None,
) -> _GraphCallbackManager:
return _configure_graph_callbacks(cls, callbacks, run_id=run_id)
def on_interrupt(self, event: GraphInterruptEvent) -> None:
handle_event(
self.handlers,
"on_interrupt",
None,
event,
)
def on_resume(self, event: GraphResumeEvent) -> None:
handle_event(
self.handlers,
"on_resume",
None,
event,
)
class _AsyncGraphCallbackManager(BaseCallbackManager):
"""Async dispatcher for graph lifecycle events."""
run_id: UUID | None
@property
def is_async(self) -> bool:
"""Return whether the manager is async."""
return True
def __init__(
self,
handlers: Sequence[GraphCallbackHandler] | None = None,
inheritable_handlers: Sequence[GraphCallbackHandler] | None = None,
parent_run_id: UUID | None = None,
*,
tags: list[str] | None = None,
inheritable_tags: list[str] | None = None,
metadata: dict[str, Any] | None = None,
inheritable_metadata: dict[str, Any] | None = None,
run_id: UUID | None = None,
) -> None:
_init_base_manager(
self,
handlers,
inheritable_handlers,
parent_run_id,
tags=tags,
inheritable_tags=inheritable_tags,
metadata=metadata,
inheritable_metadata=inheritable_metadata,
run_id=run_id,
)
def copy(
self,
*,
run_id: UUID | None | object = _MISSING,
) -> _AsyncGraphCallbackManager:
return _copy_graph_manager(self, _AsyncGraphCallbackManager, run_id)
@classmethod
def configure(
cls,
callbacks: object | None = None,
*,
run_id: UUID | None = None,
) -> _AsyncGraphCallbackManager:
return _configure_graph_callbacks(cls, callbacks, run_id=run_id)
async def on_interrupt(self, event: GraphInterruptEvent) -> None:
await ahandle_event(
self.handlers,
"on_interrupt",
None,
event,
)
async def on_resume(self, event: GraphResumeEvent) -> None:
await ahandle_event(
self.handlers,
"on_resume",
None,
event,
)
_GraphManagerT = TypeVar(
"_GraphManagerT", _GraphCallbackManager, _AsyncGraphCallbackManager
)
GraphCallbacks: TypeAlias = (
_GraphCallbackManager
| _AsyncGraphCallbackManager
| BaseCallbackManager
| GraphCallbackHandler
| Sequence[BaseCallbackHandler]
| Sequence[GraphCallbackHandler]
| None
)
def get_sync_graph_callback_manager_for_config(
config: RunnableConfig,
*,
run_id: UUID | None = None,
) -> _GraphCallbackManager:
"""Build a sync graph lifecycle callback manager from a runnable config.
This helper filters `config["callbacks"]` down to handlers that inherit
from `GraphCallbackHandler` and binds the provided `run_id` onto the
returned manager.
"""
return _GraphCallbackManager.configure(
config.get("callbacks"),
run_id=run_id,
)
def get_async_graph_callback_manager_for_config(
config: RunnableConfig,
*,
run_id: UUID | None = None,
) -> _AsyncGraphCallbackManager:
"""Build an async graph lifecycle callback manager from a runnable config.
This helper filters `config["callbacks"]` down to handlers that inherit
from `GraphCallbackHandler` and binds the provided `run_id` onto the
returned manager.
"""
return _AsyncGraphCallbackManager.configure(
config.get("callbacks"),
run_id=run_id,
)
+11 -100
View File
@@ -62,11 +62,6 @@ from langgraph._internal._constants import (
from langgraph._internal._replay import ReplayState
from langgraph._internal._scratchpad import PregelScratchpad
from langgraph._internal._typing import EMPTY_SEQ, MISSING
from langgraph.callbacks import (
GraphInterruptEvent,
GraphLifecycleEvent,
GraphResumeEvent,
)
from langgraph.channels.base import BaseChannel
from langgraph.channels.untracked_value import UntrackedValue
from langgraph.constants import TAG_HIDDEN
@@ -122,7 +117,6 @@ from langgraph.types import (
CachePolicy,
Command,
Durability,
Interrupt,
PregelExecutableTask,
RetryPolicy,
Send,
@@ -209,8 +203,6 @@ class PregelLoop:
tasks: dict[str, PregelExecutableTask]
output: None | dict[str, Any] | Any = None
updated_channels: set[str] | None = None
_graph_lifecycle_events: deque[GraphLifecycleEvent]
_has_graph_lifecycle_callbacks: bool
# public
@@ -236,7 +228,6 @@ class PregelLoop:
migrate_checkpoint: Callable[[Checkpoint], None] | None = None,
retry_policy: Sequence[RetryPolicy] = (),
cache_policy: CachePolicy | None = None,
has_graph_lifecycle_callbacks: bool = False,
) -> None:
self.stream = stream
self.config = config
@@ -261,8 +252,6 @@ class PregelLoop:
self.retry_policy = retry_policy
self.cache_policy = cache_policy
self.durability = durability
self._has_graph_lifecycle_callbacks = has_graph_lifecycle_callbacks
self._graph_lifecycle_events = deque()
if self.stream is not None and CONFIG_KEY_STREAM in config[CONF]:
self.stream = DuplexStream(self.stream, config[CONF][CONFIG_KEY_STREAM])
scratchpad: PregelScratchpad | None = config[CONF].get(CONFIG_KEY_SCRATCHPAD)
@@ -314,40 +303,6 @@ class PregelLoop:
)
self.prev_checkpoint_config = None
def _push_graph_lifecycle_event(
self,
kind: Literal["resume", "interrupt"],
*,
interrupts: tuple[Interrupt, ...] = (),
) -> None:
if kind == "resume":
self._graph_lifecycle_events.append(
GraphResumeEvent(
run_id=None,
status=self.status,
checkpoint_id=self.checkpoint["id"],
checkpoint_ns=self.checkpoint_ns,
)
)
elif kind == "interrupt":
self._graph_lifecycle_events.append(
GraphInterruptEvent(
run_id=None,
status=self.status,
checkpoint_id=self.checkpoint["id"],
checkpoint_ns=self.checkpoint_ns,
interrupts=interrupts,
)
)
else:
msg = f"Unknown graph lifecycle event type: {kind}"
raise AssertionError(msg)
def _pop_lifecycle_event(self) -> GraphLifecycleEvent | None:
if not self._graph_lifecycle_events:
return None
return self._graph_lifecycle_events.popleft()
def put_writes(self, task_id: str, writes: WritesT) -> None:
"""Put writes for a task, to be read by the next tick."""
if not writes:
@@ -692,7 +647,7 @@ 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 +665,7 @@ 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
]
@@ -766,26 +720,6 @@ 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
@@ -828,28 +762,14 @@ class PregelLoop:
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.
#
# Only gate on is_time_traveling (not is_replaying). When the
# client resumes with an explicit checkpoint_id that happens to
# point at the current head (e.g. LangGraph Studio sending
# `checkpoint: {checkpoint_id}` alongside Command(resume=...)),
# is_replaying is True but is_time_traveling is False. In that
# case subgraphs should load their latest checkpoint normally,
# not go through ReplayState's before-bound lookup which would
# miss subgraph checkpoints created during processing of the
# current parent step.
replay_state: ReplayState | None = None
if is_time_traveling:
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(
@@ -865,8 +785,6 @@ class PregelLoop:
)
# set flag
self.status = "pending"
if is_resuming:
self._push_graph_lifecycle_event("resume")
return updated_channels
def _put_checkpoint(self, metadata: CheckpointMetadata) -> None:
@@ -967,10 +885,8 @@ class PregelLoop:
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
interrupts = tuple(interrupt.args[0]) if interrupt.args else ()
self._push_graph_lifecycle_event("interrupt", interrupts=interrupts)
suppress = isinstance(exc_value, GraphInterrupt) and not self.is_nested
if suppress:
# emit one last "values" event, with pending writes applied
if (
hasattr(self, "tasks")
@@ -997,11 +913,12 @@ class PregelLoop:
self.channels,
)
# emit INTERRUPT if exception is empty (otherwise emitted by put_writes)
if not interrupt.args or not interrupt.args[0]:
interrupt_payload = interrupt.args[0] if interrupt.args else ()
if exc_value is not None and (not exc_value.args or not exc_value.args[0]):
self._emit(
"updates",
lambda: iter([{INTERRUPT: interrupt_payload}]),
lambda: iter(
[{INTERRUPT: cast(GraphInterrupt, exc_value).args[0]}]
),
)
# save final output
self.output = read_channels(self.channels, self.output_keys)
@@ -1123,7 +1040,6 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
migrate_checkpoint: Callable[[Checkpoint], None] | None = None,
retry_policy: Sequence[RetryPolicy] = (),
cache_policy: CachePolicy | None = None,
has_graph_lifecycle_callbacks: bool = False,
) -> None:
super().__init__(
input,
@@ -1145,7 +1061,6 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
retry_policy=retry_policy,
cache_policy=cache_policy,
durability=durability,
has_graph_lifecycle_callbacks=has_graph_lifecycle_callbacks,
)
self.stack = ExitStack()
if checkpointer:
@@ -1221,7 +1136,6 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
# context manager
def __enter__(self) -> Self:
self._graph_lifecycle_events = deque()
if not self.checkpointer:
saved = None
elif self.checkpoint_config[CONF].get(CONFIG_KEY_CHECKPOINT_ID):
@@ -1322,7 +1236,6 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
migrate_checkpoint: Callable[[Checkpoint], None] | None = None,
retry_policy: Sequence[RetryPolicy] = (),
cache_policy: CachePolicy | None = None,
has_graph_lifecycle_callbacks: bool = False,
) -> None:
super().__init__(
input,
@@ -1344,7 +1257,6 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
retry_policy=retry_policy,
cache_policy=cache_policy,
durability=durability,
has_graph_lifecycle_callbacks=has_graph_lifecycle_callbacks,
)
self.stack = AsyncExitStack()
if checkpointer:
@@ -1423,7 +1335,6 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
# context manager
async def __aenter__(self) -> Self:
self._graph_lifecycle_events = deque()
if not self.checkpointer:
saved = None
elif self.checkpoint_config[CONF].get(CONFIG_KEY_CHECKPOINT_ID):
+6 -61
View File
@@ -16,7 +16,7 @@ from collections.abc import (
Mapping,
Sequence,
)
from dataclasses import is_dataclass, replace
from dataclasses import is_dataclass
from functools import partial
from inspect import isclass
from typing import (
@@ -96,12 +96,6 @@ from langgraph._internal._runnable import (
coerce_to_runnable,
)
from langgraph._internal._typing import MISSING, DeprecatedKwargs
from langgraph.callbacks import (
GraphInterruptEvent,
GraphResumeEvent,
get_async_graph_callback_manager_for_config,
get_sync_graph_callback_manager_for_config,
)
from langgraph.channels.base import BaseChannel
from langgraph.channels.topic import Topic
from langgraph.config import get_config
@@ -2591,10 +2585,6 @@ class Pregel(
name=config.get("run_name", self.get_name()),
run_id=config.get("run_id"),
)
graph_callback_manager = get_sync_graph_callback_manager_for_config(
config,
run_id=run_manager.run_id,
)
try:
# assign defaults
(
@@ -2679,17 +2669,6 @@ class Pregel(
_output_mapper = self._output_mapper if version == "v2" else None
_state_mapper = self._state_mapper if version == "v2" else None
def emit_graph_lifecycle_events(loop: SyncPregelLoop) -> None:
while (event := loop._pop_lifecycle_event()) is not None:
if isinstance(event, GraphResumeEvent):
graph_callback_manager.on_resume(
replace(event, run_id=graph_callback_manager.run_id)
)
else:
graph_callback_manager.on_interrupt(
replace(event, run_id=graph_callback_manager.run_id)
)
with SyncPregelLoop(
input,
stream=StreamProtocol(stream.put, stream_modes),
@@ -2710,9 +2689,7 @@ class Pregel(
migrate_checkpoint=self._migrate_checkpoint,
retry_policy=self.retry_policy,
cache_policy=self.cache_policy,
has_graph_lifecycle_callbacks=bool(graph_callback_manager.handlers),
) as loop:
emit_graph_lifecycle_events(loop)
# create runner
runner = PregelRunner(
submit=config[CONF].get(
@@ -2774,11 +2751,9 @@ class Pregel(
_state_mapper,
)
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(
stream_mode,
@@ -2953,10 +2928,6 @@ class Pregel(
name=config.get("run_name", self.get_name()),
run_id=config.get("run_id"),
)
graph_callback_manager = get_async_graph_callback_manager_for_config(
config,
run_id=run_manager.run_id,
)
# if running from astream_log() run each proc with streaming
do_stream = (
next(
@@ -3071,28 +3042,6 @@ class Pregel(
_output_mapper = self._output_mapper if version == "v2" else None
_state_mapper = self._state_mapper if version == "v2" else None
async def aemit_graph_lifecycle_events(loop: AsyncPregelLoop) -> None:
while (event := loop._pop_lifecycle_event()) is not None:
if isinstance(event, GraphResumeEvent):
await graph_callback_manager.on_resume(
GraphResumeEvent(
run_id=graph_callback_manager.run_id,
status=event.status,
checkpoint_id=event.checkpoint_id,
checkpoint_ns=event.checkpoint_ns,
)
)
else:
await graph_callback_manager.on_interrupt(
GraphInterruptEvent(
run_id=graph_callback_manager.run_id,
status=event.status,
checkpoint_id=event.checkpoint_id,
checkpoint_ns=event.checkpoint_ns,
interrupts=event.interrupts,
)
)
async with AsyncPregelLoop(
input,
stream=StreamProtocol(stream.put_nowait, stream_modes),
@@ -3113,9 +3062,7 @@ class Pregel(
migrate_checkpoint=self._migrate_checkpoint,
retry_policy=self.retry_policy,
cache_policy=self.cache_policy,
has_graph_lifecycle_callbacks=bool(graph_callback_manager.handlers),
) as loop:
await aemit_graph_lifecycle_events(loop)
# create runner
runner = PregelRunner(
submit=config[CONF].get(
@@ -3197,7 +3144,6 @@ class Pregel(
):
yield o
loop.after_tick()
await aemit_graph_lifecycle_events(loop)
# wait for checkpoint
if durability_ == "sync":
await cast(asyncio.Future, loop._put_checkpoint_fut)
@@ -3206,8 +3152,6 @@ class Pregel(
if _cleanup_waiter is not None:
await _cleanup_waiter()
await aemit_graph_lifecycle_events(loop)
# emit output
for o in _output(
stream_mode,
@@ -3715,14 +3659,15 @@ def _coerce_checkpoint_values(payload: Any, mapper: Callable[[Any], Any]) -> Non
def _build_server_info(
config: RunnableConfig, parent_runtime: Runtime[Any]
) -> ServerInfo | None:
"""Build ServerInfo from config configurable.
"""Build ServerInfo from config metadata and configurable.
The server puts assistant_id/graph_id in config configurable and the
The server puts assistant_id/graph_id in config metadata and the
authenticated user dict in configurable["langgraph_auth_user"].
"""
metadata = config.get("metadata") or {}
configurable = config.get(CONF) or {}
assistant_id = configurable.get("assistant_id")
graph_id = configurable.get("graph_id")
assistant_id = metadata.get("assistant_id")
graph_id = metadata.get("graph_id")
# Read authenticated user from configurable (set by LangGraph Server).
# We prefer isinstance(BaseUser) but fall back to hasattr("identity")
+2 -2
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph"
version = "1.1.9"
version = "1.1.6"
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",
+20 -1
View File
@@ -1,7 +1,8 @@
import pytest
from langchain_core.callbacks import AsyncCallbackManager
from langchain_core.callbacks import AsyncCallbackManager, BaseCallbackHandler
from langgraph._internal._config import get_async_callback_manager_for_config
from langgraph.graph import StateGraph
pytestmark = pytest.mark.anyio
@@ -17,3 +18,21 @@ def test_new_async_manager_merges_tags_with_config() -> None:
config = {"callbacks": None, "tags": ["a"]}
manager = get_async_callback_manager_for_config(config, tags=["b"])
assert manager.inheritable_tags == ["a", "b"]
async def test_with_config_callbacks_preserved_in_astream_events() -> None:
class TrackingCallback(BaseCallbackHandler):
def __init__(self) -> None:
self.called = False
def on_chain_start(self, *args, **kwargs) -> None:
self.called = True
builder = StateGraph(dict)
builder.add_node("node", lambda state: state)
builder.add_edge("__start__", "node")
cb = TrackingCallback()
graph = builder.compile().with_config({"callbacks": [cb]})
async for _ in graph.astream_events({}, version="v2"):
pass
assert cb.called
@@ -1,344 +0,0 @@
from __future__ import annotations
import sys
from typing import Any
import pytest
from langchain_core.callbacks.base import BaseCallbackHandler
from langchain_core.callbacks.manager import CallbackManager
from langgraph.checkpoint.memory import InMemorySaver
from typing_extensions import TypedDict
from langgraph.callbacks import (
GraphCallbackHandler,
GraphInterruptEvent,
GraphResumeEvent,
)
from langgraph.graph import START, StateGraph
from langgraph.types import Command, Interrupt, interrupt
NEEDS_CONTEXTVARS = pytest.mark.skipif(
sys.version_info < (3, 11),
reason="Python 3.11+ is required for async contextvars support",
)
class _GraphEventHandler(GraphCallbackHandler):
def __init__(self) -> None:
self.interrupt_events: list[GraphInterruptEvent] = []
self.resume_events: list[GraphResumeEvent] = []
def on_interrupt(self, event: GraphInterruptEvent) -> Any:
self.interrupt_events.append(event)
def on_resume(self, event: GraphResumeEvent) -> Any:
self.resume_events.append(event)
class _LangChainCustomEventHandler(BaseCallbackHandler):
run_inline = True
def __init__(self) -> None:
self.events: list[str] = []
def on_custom_event(self, name: str, data: Any, **kwargs: Any) -> Any:
self.events.append(name)
class _RaisingGraphEventHandler(GraphCallbackHandler):
def __init__(
self,
*,
raise_on_interrupt: bool = False,
raise_on_resume: bool = False,
raise_error: bool = False,
) -> None:
self.raise_on_interrupt = raise_on_interrupt
self.raise_on_resume = raise_on_resume
self.raise_error = raise_error
def on_interrupt(self, event: GraphInterruptEvent) -> Any:
if self.raise_on_interrupt:
raise ValueError("boom-interrupt")
def on_resume(self, event: GraphResumeEvent) -> Any:
if self.raise_on_resume:
raise ValueError("boom-resume")
class _AsyncRaisingGraphEventHandler(GraphCallbackHandler):
def __init__(
self,
*,
raise_on_interrupt: bool = False,
raise_on_resume: bool = False,
raise_error: bool = False,
) -> None:
self.raise_on_interrupt = raise_on_interrupt
self.raise_on_resume = raise_on_resume
self.raise_error = raise_error
async def on_interrupt(self, event: GraphInterruptEvent) -> Any:
if self.raise_on_interrupt:
raise ValueError("boom-interrupt")
async def on_resume(self, event: GraphResumeEvent) -> Any:
if self.raise_on_resume:
raise ValueError("boom-resume")
class _State(TypedDict):
answer: str | None
def _build_interrupt_graph() -> Any:
def ask(state: _State) -> _State:
answer = interrupt("Provide value")
return {"answer": answer}
builder = StateGraph(_State)
builder.add_node("ask", ask)
builder.add_edge(START, "ask")
return builder.compile(checkpointer=InMemorySaver())
def test_graph_callbacks_interrupt_and_resume_sync() -> None:
graph = _build_interrupt_graph()
handler = _GraphEventHandler()
langchain_handler = _LangChainCustomEventHandler()
config = {
"configurable": {"thread_id": "graph-callback-sync"},
"callbacks": [langchain_handler, handler],
}
first = graph.invoke({"answer": None}, config)
assert "__interrupt__" in first
assert len(handler.interrupt_events) == 1
assert handler.interrupt_events[0].interrupts
assert isinstance(handler.interrupt_events[0].interrupts[0], Interrupt)
assert handler.interrupt_events[0].checkpoint_ns == ()
assert langchain_handler.events == []
handler.resume_events.clear()
resumed = graph.invoke(Command(resume="done"), config)
assert resumed == {"answer": "done"}
assert len(handler.resume_events) == 1
assert handler.resume_events[0].checkpoint_ns == ()
assert langchain_handler.events == []
@pytest.mark.anyio
@NEEDS_CONTEXTVARS
async def test_graph_callbacks_interrupt_and_resume_async() -> None:
graph = _build_interrupt_graph()
handler = _GraphEventHandler()
langchain_handler = _LangChainCustomEventHandler()
config = {
"configurable": {"thread_id": "graph-callback-async"},
"callbacks": [langchain_handler, handler],
}
first = await graph.ainvoke({"answer": None}, config)
assert "__interrupt__" in first
assert len(handler.interrupt_events) == 1
assert handler.interrupt_events[0].interrupts
assert isinstance(handler.interrupt_events[0].interrupts[0], Interrupt)
assert handler.interrupt_events[0].checkpoint_ns == ()
assert langchain_handler.events == []
handler.resume_events.clear()
resumed = await graph.ainvoke(Command(resume="done"), config)
assert resumed == {"answer": "done"}
assert len(handler.resume_events) == 1
assert handler.resume_events[0].checkpoint_ns == ()
assert langchain_handler.events == []
def test_graph_callbacks_continue_when_interrupt_handler_raises_sync() -> None:
graph = _build_interrupt_graph()
raising_handler = _RaisingGraphEventHandler(raise_on_interrupt=True)
recording_handler = _GraphEventHandler()
first = graph.invoke(
{"answer": None},
{
"configurable": {"thread_id": "graph-callback-sync-raises"},
"callbacks": [raising_handler, recording_handler],
},
)
assert "__interrupt__" in first
assert len(recording_handler.interrupt_events) == 1
def test_graph_callbacks_continue_when_resume_handler_raises_sync() -> None:
graph = _build_interrupt_graph()
raising_handler = _RaisingGraphEventHandler(raise_on_resume=True)
recording_handler = _GraphEventHandler()
config = {
"configurable": {"thread_id": "graph-callback-sync-raises-resume"},
"callbacks": [raising_handler, recording_handler],
}
first = graph.invoke({"answer": None}, config)
assert "__interrupt__" in first
resumed = graph.invoke(Command(resume="done"), config)
assert resumed == {"answer": "done"}
assert len(recording_handler.resume_events) == 1
def test_graph_callbacks_raise_error_propagates_sync() -> None:
graph = _build_interrupt_graph()
raising_handler = _RaisingGraphEventHandler(
raise_on_interrupt=True,
raise_error=True,
)
with pytest.raises(ValueError, match="boom-interrupt"):
graph.invoke(
{"answer": None},
{
"configurable": {"thread_id": "graph-callback-sync-raise-error"},
"callbacks": [raising_handler],
},
)
@pytest.mark.anyio
@NEEDS_CONTEXTVARS
async def test_graph_callbacks_continue_when_handler_raises_async() -> None:
graph = _build_interrupt_graph()
raising_interrupt_handler = _AsyncRaisingGraphEventHandler(raise_on_interrupt=True)
recording_handler = _GraphEventHandler()
config = {
"configurable": {"thread_id": "graph-callback-async-raises-interrupt"},
"callbacks": [raising_interrupt_handler, recording_handler],
}
first = await graph.ainvoke({"answer": None}, config)
assert "__interrupt__" in first
assert len(recording_handler.interrupt_events) == 1
graph = _build_interrupt_graph()
raising_resume_handler = _AsyncRaisingGraphEventHandler(raise_on_resume=True)
recording_handler = _GraphEventHandler()
config = {
"configurable": {"thread_id": "graph-callback-async-raises-resume"},
"callbacks": [raising_resume_handler, recording_handler],
}
first = await graph.ainvoke({"answer": None}, config)
assert "__interrupt__" in first
resumed = await graph.ainvoke(Command(resume="done"), config)
assert resumed == {"answer": "done"}
assert len(recording_handler.resume_events) == 1
@pytest.mark.anyio
@NEEDS_CONTEXTVARS
async def test_graph_callbacks_raise_error_propagates_async() -> None:
graph = _build_interrupt_graph()
raising_handler = _AsyncRaisingGraphEventHandler(
raise_on_interrupt=True,
raise_error=True,
)
with pytest.raises(ValueError, match="boom-interrupt"):
await graph.ainvoke(
{"answer": None},
{
"configurable": {"thread_id": "graph-callback-async-raise-error"},
"callbacks": [raising_handler],
},
)
def test_graph_callbacks_accept_base_callback_manager() -> None:
graph = _build_interrupt_graph()
graph_handler = _GraphEventHandler()
custom_handler = _LangChainCustomEventHandler()
manager = CallbackManager.configure(inheritable_callbacks=[custom_handler])
manager.add_handler(graph_handler)
first = graph.invoke(
{"answer": None},
{
"configurable": {"thread_id": "graph-callback-base-manager"},
"callbacks": manager,
},
)
assert "__interrupt__" in first
assert len(graph_handler.interrupt_events) == 1
def test_non_graph_handler_via_add_handler_does_not_crash() -> None:
"""Non-GraphCallbackHandler added via add_handler should not raise.
Libraries like opentelemetry-instrumentation-langchain monkey-patch
BaseCallbackManager.__init__ and inject handlers via add_handler().
These handlers inherit from BaseCallbackHandler, not
GraphCallbackHandler. They must be silently accepted graph lifecycle
events will simply not be dispatched to them.
"""
from langgraph.callbacks import _GraphCallbackManager
manager = _GraphCallbackManager()
plain_handler = _LangChainCustomEventHandler()
manager.add_handler(plain_handler, inherit=True)
assert plain_handler in manager.handlers
def test_non_graph_handler_does_not_receive_lifecycle_events() -> None:
"""Non-GraphCallbackHandler added alongside a GraphCallbackHandler
should not interfere with lifecycle event dispatch."""
graph = _build_interrupt_graph()
graph_handler = _GraphEventHandler()
plain_handler = _LangChainCustomEventHandler()
config = {
"configurable": {"thread_id": "graph-callback-mixed-handlers"},
"callbacks": [plain_handler, graph_handler],
}
first = graph.invoke({"answer": None}, config)
assert "__interrupt__" in first
assert len(graph_handler.interrupt_events) == 1
assert plain_handler.events == []
resumed = graph.invoke(Command(resume="done"), config)
assert resumed == {"answer": "done"}
assert len(graph_handler.resume_events) == 1
assert plain_handler.events == []
@pytest.mark.anyio
@NEEDS_CONTEXTVARS
async def test_non_graph_handler_does_not_receive_lifecycle_events_async() -> None:
"""Async variant: non-GraphCallbackHandler should not interfere."""
graph = _build_interrupt_graph()
graph_handler = _GraphEventHandler()
plain_handler = _LangChainCustomEventHandler()
config = {
"configurable": {"thread_id": "graph-callback-mixed-handlers-async"},
"callbacks": [plain_handler, graph_handler],
}
first = await graph.ainvoke({"answer": None}, config)
assert "__interrupt__" in first
assert len(graph_handler.interrupt_events) == 1
assert plain_handler.events == []
resumed = await graph.ainvoke(Command(resume="done"), config)
assert resumed == {"answer": "done"}
assert len(graph_handler.resume_events) == 1
assert plain_handler.events == []
+6
View File
@@ -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",
+17 -75
View File
@@ -615,11 +615,8 @@ 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 +624,7 @@ 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:
@@ -1332,22 +1329,20 @@ def test_imp_nested(
}
thread1 = {"configurable": {"thread_id": "1"}}
result = [*graph.stream([0, 1], thread1, durability=durability)]
# nested tasks run concurrently so output order is non-deterministic
assert sorted(result[:-1], key=lambda d: str(d)) == [
{"mapper": "00"},
{"mapper": "11"},
assert [*graph.stream([0, 1], thread1, durability=durability)] == [
{"submapper": "0"},
{"mapper": "00"},
{"submapper": "1"},
{"mapper": "11"},
{
"__interrupt__": (
Interrupt(
value="question",
id=AnyStr(),
),
)
},
]
assert result[-1] == {
"__interrupt__": (
Interrupt(
value="question",
id=AnyStr(),
),
)
}
assert graph.invoke(Command(resume="answer"), thread1, durability=durability) == [
"00answera",
@@ -6274,7 +6269,7 @@ def test_sync_streaming_with_functional_api() -> None:
@task()
def slow() -> dict:
time.sleep(time_delay) # Simulate a delay of 10 ms
return {"tic": time.monotonic()}
return {"tic": time.time()}
@entrypoint()
def graph(inputs: dict) -> list:
@@ -6287,7 +6282,7 @@ def test_sync_streaming_with_functional_api() -> None:
for chunk in graph.stream({}):
if "slow" not in chunk: # We'll just look at the updates from `slow`
continue
arrival_times.append(time.monotonic())
arrival_times.append(time.time())
assert len(arrival_times) == 2
delta = arrival_times[1] - arrival_times[0]
@@ -6896,6 +6891,7 @@ 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 +6901,6 @@ 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
+4 -68
View File
@@ -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
@@ -2086,11 +2085,8 @@ 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 +2094,7 @@ 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 +7541,7 @@ 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 +7551,6 @@ 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
+7 -10
View File
@@ -501,13 +501,13 @@ async def test_execution_info_populated_in_graph_async() -> None:
assert isinstance(info.node_first_attempt_time, float)
def test_server_info_from_configurable() -> None:
"""server_info is built from assistant_id/graph_id in config configurable."""
def test_server_info_from_metadata() -> None:
"""server_info is built from assistant_id/graph_id in config metadata."""
captured: dict[str, Any] = {}
compiled = _make_capture_graph(captured)
compiled.invoke(
{"message": "hi"},
config={"configurable": {"assistant_id": "asst-abc", "graph_id": "my-graph"}},
config={"metadata": {"assistant_id": "asst-abc", "graph_id": "my-graph"}},
)
si = captured["server_info"]
assert si is not None
@@ -516,8 +516,8 @@ def test_server_info_from_configurable() -> None:
assert si.user is None
def test_server_info_none_without_configurable() -> None:
"""server_info is None when no assistant_id/graph_id in configurable."""
def test_server_info_none_without_metadata() -> None:
"""server_info is None when no assistant_id/graph_id in metadata."""
captured: dict[str, Any] = {}
compiled = _make_capture_graph(captured)
compiled.invoke({"message": "hi"})
@@ -579,11 +579,8 @@ def test_server_info_user_from_auth_user() -> None:
compiled.invoke(
{"message": "hi"},
config={
"configurable": {
"langgraph_auth_user": proxy,
"assistant_id": "asst-proxy",
"graph_id": "graph-proxy",
},
"configurable": {"langgraph_auth_user": proxy},
"metadata": {"assistant_id": "asst-proxy", "graph_id": "graph-proxy"},
},
)
si = captured["server_info"]
+7 -791
View File
@@ -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(
@@ -972,354 +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_interrupt_resume_with_explicit_head_checkpoint_id(
sync_checkpointer: BaseCheckpointSaver,
) -> None:
"""Resume with Command(resume=...) plus the current head checkpoint_id
in config. The subgraph must continue from the interrupted node, not
restart from scratch. Explicit checkpoint_id triggers is_replaying but
this is a resume, not a time-travel, so ReplayState should not apply."""
called: list[str] = []
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)
)
graph = (
StateGraph(State)
.add_node("subgraph_node", subgraph)
.add_edge(START, "subgraph_node")
.compile(checkpointer=sync_checkpointer)
)
config = {"configurable": {"thread_id": "1"}}
# Run until interrupt fires in subgraph
graph.invoke({"value": []}, config)
assert called == ["step_a", "ask_human"]
# Resume with explicit head checkpoint_id in config
head_checkpoint_id = graph.get_state(config).config["configurable"]["checkpoint_id"]
called.clear()
resume_config = {
"configurable": {
"thread_id": "1",
"checkpoint_id": head_checkpoint_id,
"checkpoint_ns": "",
}
}
result = graph.invoke(Command(resume="answer"), resume_config)
assert called == ["ask_human", "step_b"]
assert "__interrupt__" not in result
assert result["value"] == ["sub_a", "human:answer", "sub_b"]
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:
@@ -1756,321 +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:
@@ -3064,16 +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)
@@ -3081,7 +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
+7 -403
View File
@@ -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
+5 -115
View File
@@ -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",
}
+66 -69
View File
@@ -1,5 +1,5 @@
version = 1
revision = 2
revision = 3
requires-python = ">=3.10"
resolution-markers = [
"python_full_version >= '3.14'",
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[[package]]
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version = "46.0.6"
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{ name = "cffi", marker = "python_full_version >= '3.11' and python_full_version < '3.14' and platform_python_implementation != 'PyPy'" },
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View File
@@ -614,7 +614,6 @@ class _InjectedArgs:
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runtime: str | None
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@@ -859,30 +856,14 @@ class ToolNode(RunnableCallable):
def _combine_tool_outputs(
self,
outputs: list[ToolMessage | Command | list[ToolMessage | Command]],
outputs: list[ToolMessage | Command],
input_type: Literal["list", "dict", "tool_calls"],
) -> list[Command | list[ToolMessage] | dict[str, list[ToolMessage]]]:
# Flatten list entries from tools that returned multiple items
flat_outputs: list[ToolMessage | Command]
if any(isinstance(output, list) for output in outputs):
flat_outputs = []
for output in outputs:
if isinstance(output, list):
flat_outputs.extend(output)
else:
flat_outputs.append(output)
else:
flat_outputs = cast("list[ToolMessage | Command]", outputs)
# preserve existing behavior for non-command tool outputs for backwards
# compatibility
if not any(isinstance(output, Command) for output in flat_outputs):
if not any(isinstance(output, Command) for output in outputs):
# TypedDict, pydantic, dataclass, etc. should all be able to load from dict
return (
flat_outputs
if input_type == "list"
else {self._messages_key: flat_outputs}
)
return outputs if input_type == "list" else {self._messages_key: outputs}
# LangGraph will automatically handle list of Command and non-command node
# updates
@@ -892,7 +873,7 @@ class ToolNode(RunnableCallable):
# combine all parent commands with goto into a single parent command
parent_command: Command | None = None
for output in flat_outputs:
for output in outputs:
if isinstance(output, Command):
if (
output.graph is Command.PARENT
@@ -922,7 +903,7 @@ class ToolNode(RunnableCallable):
request: ToolCallRequest,
input_type: Literal["list", "dict", "tool_calls"],
config: RunnableConfig,
) -> ToolMessage | Command | list[Command | ToolMessage]:
) -> ToolMessage | Command:
"""Execute tool call with configured error handling.
Args:
@@ -931,7 +912,7 @@ class ToolNode(RunnableCallable):
config: Runnable configuration.
Returns:
ToolMessage, Command, or list of Command/ToolMessage.
ToolMessage or Command.
Raises:
Exception: If tool fails and handle_tool_errors is False.
@@ -963,11 +944,6 @@ class ToolNode(RunnableCallable):
call["name"], exc, call["args"], filtered_errors
) from exc
# Inside try so validation errors route through _handle_tool_errors
return self._normalize_tool_response(
response, request.tool_call, input_type
)
# GraphInterrupt is a special exception that will always be raised.
# It can be triggered in the following scenarios,
# Where GraphInterrupt(GraphBubbleUp) is raised from an `interrupt` invocation
@@ -1009,12 +985,23 @@ class ToolNode(RunnableCallable):
status="error",
)
# Process successful response
if isinstance(response, Command):
# Validate Command before returning to handler
return self._validate_tool_command(response, request.tool_call, input_type)
if isinstance(response, ToolMessage):
response.content = cast("str | list", msg_content_output(response.content))
return response
msg = f"Tool {call['name']} returned unexpected type: {type(response)}"
raise TypeError(msg)
def _run_one(
self,
call: ToolCall,
input_type: Literal["list", "dict", "tool_calls"],
tool_runtime: ToolRuntime,
) -> ToolMessage | Command | list[Command | ToolMessage]:
) -> ToolMessage | Command:
"""Execute single tool call with wrap_tool_call wrapper if configured.
Args:
@@ -1069,7 +1056,7 @@ class ToolNode(RunnableCallable):
request: ToolCallRequest,
input_type: Literal["list", "dict", "tool_calls"],
config: RunnableConfig,
) -> ToolMessage | Command | list[Command | ToolMessage]:
) -> ToolMessage | Command:
"""Execute tool call asynchronously with configured error handling.
Args:
@@ -1078,7 +1065,7 @@ class ToolNode(RunnableCallable):
config: Runnable configuration.
Returns:
ToolMessage, Command, or list of Command/ToolMessage.
ToolMessage or Command.
Raises:
Exception: If tool fails and handle_tool_errors is False.
@@ -1110,11 +1097,6 @@ class ToolNode(RunnableCallable):
call["name"], exc, call["args"], filtered_errors
) from exc
# Inside try so validation errors route through _handle_tool_errors
return self._normalize_tool_response(
response, request.tool_call, input_type
)
# GraphInterrupt is a special exception that will always be raised.
# It can be triggered in the following scenarios,
# Where GraphInterrupt(GraphBubbleUp) is raised from an `interrupt` invocation
@@ -1156,12 +1138,23 @@ class ToolNode(RunnableCallable):
status="error",
)
# Process successful response
if isinstance(response, Command):
# Validate Command before returning to handler
return self._validate_tool_command(response, request.tool_call, input_type)
if isinstance(response, ToolMessage):
response.content = cast("str | list", msg_content_output(response.content))
return response
msg = f"Tool {call['name']} returned unexpected type: {type(response)}"
raise TypeError(msg)
async def _arun_one(
self,
call: ToolCall,
input_type: Literal["list", "dict", "tool_calls"],
tool_runtime: ToolRuntime,
) -> ToolMessage | Command | list[Command | ToolMessage]:
) -> ToolMessage | Command:
"""Execute single tool call asynchronously with awrap_tool_call wrapper if configured.
Args:
@@ -1340,7 +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:
@@ -1368,20 +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:
@@ -1408,84 +1395,11 @@ class ToolNode(RunnableCallable):
tool_call_copy["args"] = {**stripped_args, **injected_args}
return tool_call_copy
def _normalize_tool_response(
self,
response: Any,
tool_call: ToolCall,
input_type: Literal["list", "dict", "tool_calls"],
) -> ToolMessage | Command | list[Command | ToolMessage]:
"""Validate and normalize a tool's raw return value."""
if isinstance(response, Command):
return self._validate_tool_command(response, tool_call, input_type)
if isinstance(response, ToolMessage):
response.content = cast("str | list", msg_content_output(response.content))
return response
if isinstance(response, list):
if all(isinstance(r, (Command, ToolMessage)) for r in response):
return self._validate_tool_command_list(response, tool_call, input_type)
msg = (
f"Tool {tool_call['name']} returned a list with invalid element "
"types: expected all Command or ToolMessage"
)
raise TypeError(msg)
msg = f"Tool {tool_call['name']} returned unexpected type: {type(response)}"
raise TypeError(msg)
def _validate_tool_command_list(
self,
response: list[Command | ToolMessage],
tool_call: ToolCall,
input_type: Literal["list", "dict", "tool_calls"],
) -> list[Command | ToolMessage]:
"""Validate a list of Command/ToolMessage returned by a single tool call.
Requires exactly one terminating ToolMessage (matching the outer tool_call_id)
across the list either as a top-level element or nested in a
Command.update["messages"].
"""
expected_id = tool_call["id"]
terminator_count = 0
for item in response:
if isinstance(item, ToolMessage):
if item.tool_call_id == expected_id:
terminator_count += 1
elif isinstance(item, Command) and isinstance(item.update, dict):
for msg in item.update.get(self._messages_key, []):
if isinstance(msg, ToolMessage) and msg.tool_call_id == expected_id:
terminator_count += 1
if terminator_count != 1:
msg = (
f"Tool {tool_call['name']} returned a list with "
f"{terminator_count} messages bound to tool_call_id "
f"{expected_id!r}; expected exactly one terminating ToolMessage."
)
raise ValueError(msg)
# Per-Command normalization still runs, but the list-level count above
# already guarantees exactly one terminator, so individual Commands may
# lack one.
validated: list[Command | ToolMessage] = []
for item in response:
if isinstance(item, Command):
validated.append(
self._validate_tool_command(
item, tool_call, input_type, require_terminator=False
)
)
else:
item.content = cast("str | list", msg_content_output(item.content))
validated.append(item)
return validated
def _validate_tool_command(
self,
command: Command,
call: ToolCall,
input_type: Literal["list", "dict", "tool_calls"],
*,
require_terminator: bool = True,
) -> Command:
if isinstance(command.update, dict):
# input type is dict when ToolNode is invoked with a dict input
@@ -1535,11 +1449,7 @@ class ToolNode(RunnableCallable):
# validate that we always have a ToolMessage matching the tool call in
# Command.update if command is sent to the CURRENT graph
if (
require_terminator
and updated_command.graph is None
and not has_matching_tool_message
):
if updated_command.graph is None and not has_matching_tool_message:
example_update = (
'`Command(update={"messages": '
'[ToolMessage("Success", tool_call_id=tool_call_id), ...]}, ...)`'
@@ -1659,7 +1569,6 @@ class ToolRuntime(_DirectlyInjectedToolArg, Generic[ContextT, StateT]):
- `context`: Runtime context (shared with `Runtime`)
- `store`: `BaseStore` instance for persistent storage (shared with `Runtime`)
- `stream_writer`: `StreamWriter` for streaming output (shared with `Runtime`)
- `tools`: List of all available `BaseTool` instances
No `Annotated` wrapper is needed - just use `runtime: ToolRuntime`
as a parameter.
@@ -1702,7 +1611,6 @@ class ToolRuntime(_DirectlyInjectedToolArg, Generic[ContextT, StateT]):
context: ContextT
config: RunnableConfig
stream_writer: StreamWriter
tools: list[BaseTool]
tool_call_id: str | None
store: BaseStore | None
execution_info: ExecutionInfo | None = None
@@ -1951,7 +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)
@@ -1966,9 +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
@@ -1985,5 +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,
)
+2 -2
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph-prebuilt"
version = "1.0.11"
version = "1.0.9"
description = "Library with high-level APIs for creating and executing LangGraph agents and tools."
authors = []
requires-python = ">=3.10"
@@ -25,7 +25,7 @@ classifiers = [
]
dependencies = [
"langgraph-checkpoint>=2.1.0,<5.0.0",
"langchain-core>=1.3.1",
"langchain-core>=1.0.0",
]
[project.urls]
@@ -1,285 +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,
tools=[],
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
+8 -221
View File
@@ -2016,8 +2016,8 @@ async def test_tool_node_inject_runtime_dynamic_tool_via_wrap_tool_call_async()
assert tool_message.tool_call_id == "call_dynamic_2"
def test_tool_runtime_forwards_execution_info_server_info_and_tools() -> None:
"""Test that execution_info, server_info, and tools are forwarded from Runtime to ToolRuntime."""
def test_tool_runtime_forwards_execution_info_and_server_info() -> None:
"""Test that execution_info and server_info are forwarded from Runtime to ToolRuntime."""
from langgraph.runtime import ExecutionInfo, ServerInfo
exec_info = ExecutionInfo(
@@ -2043,15 +2043,9 @@ def test_tool_runtime_forwards_execution_info_server_info_and_tools() -> None:
"""Tool that captures runtime info."""
captured["execution_info"] = runtime.execution_info
captured["server_info"] = runtime.server_info
captured["tools"] = runtime.tools
return "ok"
@dec_tool
def other_tool(y: int) -> str:
"""Another tool available to the runtime."""
return str(y)
node = ToolNode([info_tool, other_tool])
node = ToolNode([info_tool])
tool_call = {
"name": "info_tool",
"args": {"x": 1},
@@ -2060,21 +2054,17 @@ def test_tool_runtime_forwards_execution_info_server_info_and_tools() -> None:
}
msg = AIMessage("", tool_calls=[tool_call])
config: RunnableConfig = {"configurable": {"__pregel_runtime": mock_runtime}}
result = node.invoke({"messages": [msg]}, config=config)
node.invoke({"messages": [msg]}, config=config)
assert result["messages"][-1].content == "ok"
assert captured["execution_info"] is exec_info
assert captured["execution_info"].thread_id == "t-1"
assert captured["execution_info"].task_id == "tk-1"
assert captured["server_info"] is server_info
assert captured["server_info"].assistant_id == "asst-1"
assert [tool.name for tool in captured["tools"]] == ["info_tool", "other_tool"]
async def test_tool_runtime_forwards_execution_info_server_info_and_tools_async() -> (
None
):
"""Test that execution_info, server_info, and tools are forwarded in async path."""
async def test_tool_runtime_forwards_execution_info_and_server_info_async() -> None:
"""Test that execution_info and server_info are forwarded in async path."""
from langgraph.runtime import ExecutionInfo, ServerInfo
exec_info = ExecutionInfo(
@@ -2100,15 +2090,9 @@ async def test_tool_runtime_forwards_execution_info_server_info_and_tools_async(
"""Async tool that captures runtime info."""
captured["execution_info"] = runtime.execution_info
captured["server_info"] = runtime.server_info
captured["tools"] = runtime.tools
return "ok"
@dec_tool
async def other_tool_async(y: int) -> str:
"""Another async tool available to the runtime."""
return str(y)
node = ToolNode([info_tool_async, other_tool_async])
node = ToolNode([info_tool_async])
tool_call = {
"name": "info_tool_async",
"args": {"x": 1},
@@ -2117,17 +2101,12 @@ async def test_tool_runtime_forwards_execution_info_server_info_and_tools_async(
}
msg = AIMessage("", tool_calls=[tool_call])
config: RunnableConfig = {"configurable": {"__pregel_runtime": mock_runtime}}
result = await node.ainvoke({"messages": [msg]}, config=config)
await node.ainvoke({"messages": [msg]}, config=config)
assert result["messages"][-1].content == "ok"
assert captured["execution_info"] is exec_info
assert captured["execution_info"].thread_id == "t-2"
assert captured["server_info"] is server_info
assert captured["server_info"].graph_id == "graph-2"
assert [tool.name for tool in captured["tools"]] == [
"info_tool_async",
"other_tool_async",
]
# --- InjectedToolArg security tests ---
@@ -2223,195 +2202,3 @@ def test_tool_node_injected_state_overwrites_llm_value() -> None:
)
tool_message = result["messages"][-1]
assert tool_message.content == "PUBLIC_DATA"
class _ReturningTool(BaseTool):
"""A tool that returns a configured value verbatim."""
name: str = "list_tool"
description: str = "Returns a configured value"
return_value: Any = None
def _run(self, **kwargs: Any) -> Any:
return self.return_value
async def _arun(self, **kwargs: Any) -> Any:
return self.return_value
def _list_tool_call(outer_id: str = "call-1") -> dict[str, Any]:
return {"name": "list_tool", "args": {}, "id": outer_id, "type": "tool_call"}
def _invoke_returning(
return_value: Any,
*,
outer_id: str = "call-1",
handle_tool_errors: bool = True,
) -> Any:
node = ToolNode(
[_ReturningTool(return_value=return_value)],
handle_tool_errors=handle_tool_errors,
)
return node.invoke(
{"messages": [AIMessage("", tool_calls=[_list_tool_call(outer_id)])]},
config=_create_config_with_runtime(),
)
def test_tool_node_list_return_command_and_tool_message() -> None:
"""Valid: tool returns [Command(update={...}), ToolMessage(...)]."""
outer_id = "call-1"
result = _invoke_returning(
[
Command(update={"foo": "bar"}),
ToolMessage(content="done", tool_call_id=outer_id),
]
)
assert isinstance(result, list)
commands = [r for r in result if isinstance(r, Command)]
assert len(commands) == 1
assert commands[0].update == {"foo": "bar"}
non_commands = [r for r in result if not isinstance(r, Command)]
assert len(non_commands) == 1
assert isinstance(non_commands[0], dict)
msgs = non_commands[0]["messages"]
assert len(msgs) == 1
assert isinstance(msgs[0], ToolMessage)
assert msgs[0].content == "done"
assert msgs[0].tool_call_id == outer_id
def test_tool_node_list_return_nested_terminator() -> None:
"""Valid: terminator nested inside Command.update['messages']."""
outer_id = "call-1"
result = _invoke_returning(
[
Command(update={"foo": "bar"}),
Command(
update={
"messages": [ToolMessage(content="done", tool_call_id=outer_id)]
}
),
]
)
assert isinstance(result, list)
commands = [r for r in result if isinstance(r, Command)]
assert len(commands) == 2
updates = [c.update for c in commands]
assert {"foo": "bar"} in updates
msgs_update = next(u for u in updates if "messages" in (u or {}))
assert any(
isinstance(m, ToolMessage) and m.tool_call_id == outer_id
for m in msgs_update["messages"]
)
def test_tool_node_list_return_parent_goto_with_terminator() -> None:
"""Valid: [Command(graph=PARENT, goto=[Send(...)]), ToolMessage(...)]."""
outer_id = "call-1"
result = _invoke_returning(
[
Command(graph=Command.PARENT, goto=[Send("child", {})]),
ToolMessage(content="ok", tool_call_id=outer_id),
]
)
assert isinstance(result, list)
parent_cmds = [
r for r in result if isinstance(r, Command) and r.graph is Command.PARENT
]
assert len(parent_cmds) == 1
assert isinstance(parent_cmds[0].goto, list)
assert any(isinstance(s, Send) for s in parent_cmds[0].goto)
non_commands = [r for r in result if not isinstance(r, Command)]
assert len(non_commands) == 1
def test_tool_node_list_return_no_terminator_raises() -> None:
"""Invalid: list with no terminating ToolMessage."""
with pytest.raises(ValueError, match="0 messages bound to tool_call_id"):
_invoke_returning([Command(update={"foo": "bar"})], handle_tool_errors=False)
def test_tool_node_list_return_multiple_terminators_raises() -> None:
"""Invalid: list with two terminating ToolMessages."""
outer_id = "call-1"
with pytest.raises(ValueError, match="2 messages bound to tool_call_id"):
_invoke_returning(
[
ToolMessage(content="a", tool_call_id=outer_id),
ToolMessage(content="b", tool_call_id=outer_id),
],
handle_tool_errors=False,
)
def test_tool_node_list_return_validation_error_handled() -> None:
"""handle_tool_errors=True converts validation errors to an error ToolMessage."""
result = _invoke_returning([Command(update={"foo": "bar"})])
assert isinstance(result, dict)
msg = result["messages"][0]
assert isinstance(msg, ToolMessage)
assert msg.status == "error"
assert "0 messages bound to tool_call_id" in msg.content
async def test_tool_node_list_return_async_smoke() -> None:
"""Async path parallels sync for the happy case."""
outer_id = "call-1"
node = ToolNode(
[
_ReturningTool(
return_value=[
Command(update={"foo": "bar"}),
ToolMessage(content="done", tool_call_id=outer_id),
]
)
]
)
result = await node.ainvoke(
{"messages": [AIMessage("", tool_calls=[_list_tool_call(outer_id)])]},
config=_create_config_with_runtime(),
)
assert isinstance(result, list)
commands = [r for r in result if isinstance(r, Command)]
assert len(commands) == 1 and commands[0].update == {"foo": "bar"}
def test_tool_node_list_return_mixed_with_regular_tool() -> None:
"""List-returning tool and a regular tool dispatched from the same AIMessage."""
list_tool_id = "call-list"
regular_tool_id = "call-regular"
list_tool = _ReturningTool(
return_value=[
Command(update={"foo": "bar"}),
ToolMessage(content="list done", tool_call_id=list_tool_id),
]
)
def regular_tool(x: int) -> str:
"""A normal tool."""
return f"regular: {x}"
tool_calls = [
{"name": "list_tool", "args": {}, "id": list_tool_id, "type": "tool_call"},
{
"name": "regular_tool",
"args": {"x": 7},
"id": regular_tool_id,
"type": "tool_call",
},
]
node = ToolNode([list_tool, regular_tool])
result = node.invoke(
{"messages": [AIMessage("", tool_calls=tool_calls)]},
config=_create_config_with_runtime(),
)
assert isinstance(result, list)
commands = [r for r in result if isinstance(r, Command)]
assert len(commands) == 1
assert commands[0].update == {"foo": "bar"}
all_msgs = [m for r in result if isinstance(r, dict) for m in r["messages"]]
tool_call_ids = {m.tool_call_id for m in all_msgs}
assert list_tool_id in tool_call_ids
assert regular_tool_id in tool_call_ids
+15 -16
View File
@@ -1,5 +1,5 @@
version = 1
revision = 2
revision = 3
requires-python = ">=3.10"
[[package]]
@@ -249,7 +249,7 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.3.1"
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/f4/fe/abeae8d0d2899e191d67c6c7f065f7e52a953f30b21ef327fa49084e4af9/langchain_core-1.3.1.tar.gz", hash = "sha256:41b384055799f93f34520df6bf7b80e2e5e23153cdfd46874251c6c9916ea030", size = 862403, upload-time = "2026-04-23T18:54:01.857Z" }
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 = [
{ url = "https://files.pythonhosted.org/packages/a1/c2/8493be505921857988db068b7c027f28a9b1587b4425c6a32b1221c9c9fe/langchain_core-1.3.1-py3-none-any.whl", hash = "sha256:8b13d19d3bed3f4768df12c7f6932d2ada715f3ac9fd020c63d28c693968269e", size = 515879, upload-time = "2026-04-23T18:53:59.94Z" },
{ 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" },
]
[[package]]
name = "langgraph"
version = "1.1.9"
version = "1.1.6"
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"
version = "4.0.2"
version = "4.0.1"
source = { editable = "../checkpoint" }
dependencies = [
{ name = "langchain-core" },
@@ -490,7 +490,7 @@ test = [
[[package]]
name = "langgraph-prebuilt"
version = "1.0.11"
version = "1.0.9"
source = { editable = "." }
dependencies = [
{ name = "langchain-core" },
@@ -535,7 +535,7 @@ test = [
[package.metadata]
requires-dist = [
{ name = "langchain-core", specifier = ">=1.3.1" },
{ name = "langchain-core", specifier = ">=1.0.0" },
{ name = "langgraph-checkpoint", editable = "../checkpoint" },
]
@@ -619,7 +619,7 @@ test = [
[[package]]
name = "langsmith"
version = "0.7.31"
version = "0.6.4"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "httpx" },
@@ -629,12 +629,11 @@ 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]]
@@ -1183,7 +1182,7 @@ 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'" },
@@ -1194,9 +1193,9 @@ 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]]
+1 -1
View File
@@ -3,6 +3,6 @@ from langgraph_sdk.client import get_client, get_sync_client
from langgraph_sdk.encryption import Encryption
from langgraph_sdk.encryption.types import EncryptionContext
__version__ = "0.3.13"
__version__ = "0.3.12"
__all__ = ["Auth", "Encryption", "EncryptionContext", "get_client", "get_sync_client"]
+1 -8
View File
@@ -12,10 +12,7 @@ from typing import Any, cast
import httpx
import orjson
from langgraph_sdk._shared.utilities import (
_orjson_default,
_validate_reconnect_location,
)
from langgraph_sdk._shared.utilities import _orjson_default
from langgraph_sdk.errors import _araise_for_status_typed
from langgraph_sdk.schema import QueryParamTypes, StreamPart
from langgraph_sdk.sse import SSEDecoder, aiter_lines_raw
@@ -167,7 +164,6 @@ class HttpClient:
loc = r.headers.get("location")
if reconnect_limit <= 0 or not loc:
return await _adecode_json(r)
_validate_reconnect_location(self.client.base_url, loc)
try:
return await _adecode_json(r)
except httpx.HTTPError:
@@ -246,9 +242,6 @@ class HttpClient:
reconnect_location = res.headers.get("location")
if reconnect_location:
_validate_reconnect_location(
self.client.base_url, reconnect_location
)
reconnect_path = reconnect_location
# parse SSE
-21
View File
@@ -26,7 +26,6 @@ from langgraph_sdk.schema import (
Durability,
IfNotExists,
Input,
LangSmithTracing,
MultitaskStrategy,
OnCompletionBehavior,
QueryParamTypes,
@@ -94,7 +93,6 @@ class RunsClient:
multitask_strategy: MultitaskStrategy | None = None,
if_not_exists: IfNotExists | None = None,
after_seconds: int | None = None,
langsmith_tracing: LangSmithTracing | None = None,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
@@ -126,7 +124,6 @@ class RunsClient:
multitask_strategy: MultitaskStrategy | None = None,
if_not_exists: IfNotExists | None = None,
after_seconds: int | None = None,
langsmith_tracing: LangSmithTracing | None = None,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
@@ -155,7 +152,6 @@ class RunsClient:
if_not_exists: IfNotExists | None = None,
webhook: str | None = None,
after_seconds: int | None = None,
langsmith_tracing: LangSmithTracing | None = None,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
@@ -184,7 +180,6 @@ class RunsClient:
if_not_exists: IfNotExists | None = None,
webhook: str | None = None,
after_seconds: int | None = None,
langsmith_tracing: LangSmithTracing | None = None,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
@@ -216,7 +211,6 @@ class RunsClient:
multitask_strategy: MultitaskStrategy | None = None,
if_not_exists: IfNotExists | None = None,
after_seconds: int | None = None,
langsmith_tracing: LangSmithTracing | None = None,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
@@ -256,8 +250,6 @@ class RunsClient:
Must be either 'reject' (raise error if missing), or 'create' (create new thread).
after_seconds: The number of seconds to wait before starting the run.
Use to schedule future runs.
langsmith_tracing: LangSmith tracing configuration. Allows routing traces
to a specific project or associating with a dataset example.
headers: Optional custom headers to include with the request.
params: Optional query parameters to include with the request.
on_run_created: Callback when a run is created.
@@ -334,7 +326,6 @@ class RunsClient:
"on_completion": on_completion,
"after_seconds": after_seconds,
"durability": durability,
"langsmith_tracer": langsmith_tracing,
}
endpoint = (
f"/threads/{thread_id}/runs/stream"
@@ -380,7 +371,6 @@ class RunsClient:
on_completion: OnCompletionBehavior | None = None,
if_not_exists: IfNotExists | None = None,
after_seconds: int | None = None,
langsmith_tracing: LangSmithTracing | None = None,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
@@ -409,7 +399,6 @@ class RunsClient:
multitask_strategy: MultitaskStrategy | None = None,
if_not_exists: IfNotExists | None = None,
after_seconds: int | None = None,
langsmith_tracing: LangSmithTracing | None = None,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
@@ -438,7 +427,6 @@ class RunsClient:
if_not_exists: IfNotExists | None = None,
on_completion: OnCompletionBehavior | None = None,
after_seconds: int | None = None,
langsmith_tracing: LangSmithTracing | None = None,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
@@ -474,8 +462,6 @@ class RunsClient:
Must be either 'reject' (raise error if missing), or 'create' (create new thread).
after_seconds: The number of seconds to wait before starting the run.
Use to schedule future runs.
langsmith_tracing: LangSmith tracing configuration. Allows routing traces
to a specific project or associating with a dataset example.
headers: Optional custom headers to include with the request.
on_run_created: Optional callback to call when a run is created.
durability: The durability to use for the run. Values are "sync", "async", or "exit".
@@ -586,7 +572,6 @@ class RunsClient:
"on_completion": on_completion,
"after_seconds": after_seconds,
"durability": durability,
"langsmith_tracer": langsmith_tracing,
}
payload = {k: v for k, v in payload.items() if v is not None}
@@ -641,7 +626,6 @@ class RunsClient:
multitask_strategy: MultitaskStrategy | None = None,
if_not_exists: IfNotExists | None = None,
after_seconds: int | None = None,
langsmith_tracing: LangSmithTracing | None = None,
raise_error: bool = True,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
@@ -667,7 +651,6 @@ class RunsClient:
on_completion: OnCompletionBehavior | None = None,
if_not_exists: IfNotExists | None = None,
after_seconds: int | None = None,
langsmith_tracing: LangSmithTracing | None = None,
raise_error: bool = True,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
@@ -695,7 +678,6 @@ class RunsClient:
multitask_strategy: MultitaskStrategy | None = None,
if_not_exists: IfNotExists | None = None,
after_seconds: int | None = None,
langsmith_tracing: LangSmithTracing | None = None,
raise_error: bool = True,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
@@ -730,8 +712,6 @@ class RunsClient:
Must be either 'reject' (raise error if missing), or 'create' (create new thread).
after_seconds: The number of seconds to wait before starting the run.
Use to schedule future runs.
langsmith_tracing: LangSmith tracing configuration. Allows routing traces
to a specific project or associating with a dataset example.
headers: Optional custom headers to include with the request.
on_run_created: Optional callback to call when a run is created.
durability: The durability to use for the run. Values are "sync", "async", or "exit".
@@ -818,7 +798,6 @@ class RunsClient:
"on_completion": on_completion,
"after_seconds": after_seconds,
"durability": durability,
"langsmith_tracer": langsmith_tracing,
}
endpoint = (
f"/threads/{thread_id}/runs/wait" if thread_id is not None else "/runs/wait"
@@ -8,7 +8,6 @@ import re
from collections.abc import Mapping
from datetime import tzinfo
from typing import TYPE_CHECKING, Any, cast
from urllib.parse import urlparse
import httpx
@@ -159,40 +158,6 @@ def _resolve_timezone(tz: str | tzinfo | ZoneInfo | None) -> str | None:
)
def _default_port(scheme: str) -> int:
return 443 if scheme == "https" else 80
def _validate_reconnect_location(base_url: httpx.URL, location: str) -> str:
"""Validate that a reconnect Location URL is same-origin as the base URL.
Raises ValueError if the Location header points to a different origin
(scheme + host + port), which would leak credentials to an external server.
"""
parsed = urlparse(location)
# Relative URLs are safe — they resolve against the base
if not parsed.scheme and not parsed.netloc:
return location
# Compare origin components (normalize default ports to avoid mismatches)
base_scheme = str(base_url.scheme)
base_origin = (
base_scheme,
str(base_url.host),
base_url.port or _default_port(base_scheme),
)
loc_origin = (
parsed.scheme,
parsed.hostname or "",
parsed.port or _default_port(parsed.scheme),
)
if base_origin != loc_origin:
raise ValueError(
f"Refusing to follow cross-origin reconnect Location: {location!r} "
f"(origin {loc_origin}) does not match base URL origin {base_origin}"
)
return location
def _provided_vals(d: Mapping[str, Any]) -> dict[str, Any]:
return {k: v for k, v in d.items() if v is not None}
+1 -8
View File
@@ -11,10 +11,7 @@ from typing import Any, cast
import httpx
import orjson
from langgraph_sdk._shared.utilities import (
_orjson_default,
_validate_reconnect_location,
)
from langgraph_sdk._shared.utilities import _orjson_default
from langgraph_sdk.errors import _raise_for_status_typed
from langgraph_sdk.schema import QueryParamTypes, StreamPart
from langgraph_sdk.sse import SSEDecoder, iter_lines_raw
@@ -167,7 +164,6 @@ class SyncHttpClient:
loc = r.headers.get("location")
if reconnect_limit <= 0 or not loc:
return _decode_json(r)
_validate_reconnect_location(self.client.base_url, loc)
try:
return _decode_json(r)
except httpx.HTTPError:
@@ -248,9 +244,6 @@ class SyncHttpClient:
reconnect_location = res.headers.get("location")
if reconnect_location:
_validate_reconnect_location(
self.client.base_url, reconnect_location
)
reconnect_path = reconnect_location
decoder = SSEDecoder()
-21
View File
@@ -26,7 +26,6 @@ from langgraph_sdk.schema import (
Durability,
IfNotExists,
Input,
LangSmithTracing,
MultitaskStrategy,
OnCompletionBehavior,
QueryParamTypes,
@@ -93,7 +92,6 @@ class SyncRunsClient:
multitask_strategy: MultitaskStrategy | None = None,
if_not_exists: IfNotExists | None = None,
after_seconds: int | None = None,
langsmith_tracing: LangSmithTracing | None = None,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
@@ -124,7 +122,6 @@ class SyncRunsClient:
multitask_strategy: MultitaskStrategy | None = None,
if_not_exists: IfNotExists | None = None,
after_seconds: int | None = None,
langsmith_tracing: LangSmithTracing | None = None,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
@@ -154,7 +151,6 @@ class SyncRunsClient:
if_not_exists: IfNotExists | None = None,
webhook: str | None = None,
after_seconds: int | None = None,
langsmith_tracing: LangSmithTracing | None = None,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
@@ -184,7 +180,6 @@ class SyncRunsClient:
if_not_exists: IfNotExists | None = None,
webhook: str | None = None,
after_seconds: int | None = None,
langsmith_tracing: LangSmithTracing | None = None,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
@@ -216,7 +211,6 @@ class SyncRunsClient:
multitask_strategy: MultitaskStrategy | None = None,
if_not_exists: IfNotExists | None = None,
after_seconds: int | None = None,
langsmith_tracing: LangSmithTracing | None = None,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
@@ -256,8 +250,6 @@ class SyncRunsClient:
Must be either 'reject' (raise error if missing), or 'create' (create new thread).
after_seconds: The number of seconds to wait before starting the run.
Use to schedule future runs.
langsmith_tracing: LangSmith tracing configuration. Allows routing traces
to a specific project or associating with a dataset example.
headers: Optional custom headers to include with the request.
on_run_created: Optional callback to call when a run is created.
durability: The durability to use for the run. Values are "sync", "async", or "exit".
@@ -329,7 +321,6 @@ class SyncRunsClient:
"on_completion": on_completion,
"after_seconds": after_seconds,
"durability": durability,
"langsmith_tracer": langsmith_tracing,
}
endpoint = (
f"/threads/{thread_id}/runs/stream"
@@ -375,7 +366,6 @@ class SyncRunsClient:
on_completion: OnCompletionBehavior | None = None,
if_not_exists: IfNotExists | None = None,
after_seconds: int | None = None,
langsmith_tracing: LangSmithTracing | None = None,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
@@ -404,7 +394,6 @@ class SyncRunsClient:
multitask_strategy: MultitaskStrategy | None = None,
if_not_exists: IfNotExists | None = None,
after_seconds: int | None = None,
langsmith_tracing: LangSmithTracing | None = None,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
@@ -433,7 +422,6 @@ class SyncRunsClient:
if_not_exists: IfNotExists | None = None,
on_completion: OnCompletionBehavior | None = None,
after_seconds: int | None = None,
langsmith_tracing: LangSmithTracing | None = None,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
@@ -469,8 +457,6 @@ class SyncRunsClient:
Must be either 'reject' (raise error if missing), or 'create' (create new thread).
after_seconds: The number of seconds to wait before starting the run.
Use to schedule future runs.
langsmith_tracing: LangSmith tracing configuration. Allows routing traces
to a specific project or associating with a dataset example.
headers: Optional custom headers to include with the request.
on_run_created: Optional callback to call when a run is created.
durability: The durability to use for the run. Values are "sync", "async", or "exit".
@@ -581,7 +567,6 @@ class SyncRunsClient:
"on_completion": on_completion,
"after_seconds": after_seconds,
"durability": durability,
"langsmith_tracer": langsmith_tracing,
}
payload = {k: v for k, v in payload.items() if v is not None}
@@ -636,7 +621,6 @@ class SyncRunsClient:
multitask_strategy: MultitaskStrategy | None = None,
if_not_exists: IfNotExists | None = None,
after_seconds: int | None = None,
langsmith_tracing: LangSmithTracing | None = None,
raise_error: bool = True,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
@@ -662,7 +646,6 @@ class SyncRunsClient:
on_completion: OnCompletionBehavior | None = None,
if_not_exists: IfNotExists | None = None,
after_seconds: int | None = None,
langsmith_tracing: LangSmithTracing | None = None,
raise_error: bool = True,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
@@ -690,7 +673,6 @@ class SyncRunsClient:
multitask_strategy: MultitaskStrategy | None = None,
if_not_exists: IfNotExists | None = None,
after_seconds: int | None = None,
langsmith_tracing: LangSmithTracing | None = None,
raise_error: bool = True,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
@@ -725,8 +707,6 @@ class SyncRunsClient:
Must be either 'reject' (raise error if missing), or 'create' (create new thread).
after_seconds: The number of seconds to wait before starting the run.
Use to schedule future runs.
langsmith_tracing: LangSmith tracing configuration. Allows routing traces
to a specific project or associating with a dataset example.
raise_error: Whether to raise an error if the run fails.
headers: Optional custom headers to include with the request.
on_run_created: Optional callback to call when a run is created.
@@ -816,7 +796,6 @@ class SyncRunsClient:
"after_seconds": after_seconds,
"raise_error": raise_error,
"durability": durability,
"langsmith_tracer": langsmith_tracing,
}
def on_response(res: httpx.Response):
-10
View File
@@ -107,16 +107,6 @@ Durability = Literal["sync", "async", "exit"]
- `"async"`: Changes are persisted asynchronously while the next step executes.
- `"exit"`: Changes are persisted only when the graph exits."""
class LangSmithTracing(TypedDict, total=False):
"""Configuration for LangSmith tracing."""
project_name: str
"""The LangSmith project name to trace to."""
example_id: str
"""The LangSmith example/dataset ID to associate with the trace."""
All = Literal["*"]
"""Represents a wildcard or 'all' selector."""
-146
View File
@@ -1,146 +0,0 @@
"""Test that langsmith_tracing parameter is correctly mapped to langsmith_tracer in payloads."""
from __future__ import annotations
from typing import Any
from unittest.mock import AsyncMock, MagicMock
import pytest
from langgraph_sdk.schema import LangSmithTracing
@pytest.fixture
def tracing_config() -> LangSmithTracing:
return LangSmithTracing(
project_name="my-project",
example_id="example-123",
)
class TestLangSmithTracingPayload:
"""Verify langsmith_tracing param maps to langsmith_tracer in request payload."""
@pytest.mark.asyncio
async def test_async_create_includes_langsmith_tracer(self, tracing_config):
"""Test that async create sends langsmith_tracer in payload."""
from langgraph_sdk._async.runs import RunsClient
captured: dict[str, Any] = {}
async def mock_post(_path, *, json=None, **_kwargs):
captured["json"] = json
return {"run_id": "r1", "status": "pending"}
http = MagicMock()
http.post = AsyncMock(side_effect=mock_post)
client = RunsClient(http)
await client.create(
thread_id="t1",
assistant_id="a1",
langsmith_tracing=tracing_config,
)
assert "langsmith_tracer" in captured["json"]
assert captured["json"]["langsmith_tracer"] == {
"project_name": "my-project",
"example_id": "example-123",
}
def test_sync_create_includes_langsmith_tracer(self, tracing_config):
"""Test that sync create sends langsmith_tracer in payload."""
from langgraph_sdk._sync.runs import SyncRunsClient
captured: dict[str, Any] = {}
def mock_post(_path, *, json=None, **_kwargs):
captured["json"] = json
return {"run_id": "r1", "status": "pending"}
http = MagicMock()
http.post = MagicMock(side_effect=mock_post)
client = SyncRunsClient(http)
client.create(
thread_id="t1",
assistant_id="a1",
langsmith_tracing=tracing_config,
)
assert "langsmith_tracer" in captured["json"]
assert captured["json"]["langsmith_tracer"] == {
"project_name": "my-project",
"example_id": "example-123",
}
def test_sync_wait_includes_langsmith_tracer(self, tracing_config):
"""Test that sync wait sends langsmith_tracer in payload."""
from langgraph_sdk._sync.runs import SyncRunsClient
captured: dict[str, Any] = {}
def mock_request_reconnect(_path, _method, *, json=None, **_kwargs):
captured["json"] = json
return {"messages": []}
http = MagicMock()
http.request_reconnect = MagicMock(side_effect=mock_request_reconnect)
client = SyncRunsClient(http)
client.wait(
thread_id="t1",
assistant_id="a1",
langsmith_tracing=tracing_config,
)
assert "langsmith_tracer" in captured["json"]
assert captured["json"]["langsmith_tracer"] == {
"project_name": "my-project",
"example_id": "example-123",
}
def test_create_without_langsmith_tracing_excludes_key(self):
"""Test that langsmith_tracer is not in payload when not provided."""
from langgraph_sdk._sync.runs import SyncRunsClient
captured: dict[str, Any] = {}
def mock_post(_path, *, json=None, **_kwargs):
captured["json"] = json
return {"run_id": "r1", "status": "pending"}
http = MagicMock()
http.post = MagicMock(side_effect=mock_post)
client = SyncRunsClient(http)
client.create(
thread_id="t1",
assistant_id="a1",
)
assert "langsmith_tracer" not in captured["json"]
def test_langsmith_tracing_project_name_only(self):
"""Test that langsmith_tracing works with only project_name."""
from langgraph_sdk._sync.runs import SyncRunsClient
captured: dict[str, Any] = {}
def mock_post(_path, *, json=None, **_kwargs):
captured["json"] = json
return {"run_id": "r1", "status": "pending"}
http = MagicMock()
http.post = MagicMock(side_effect=mock_post)
client = SyncRunsClient(http)
client.create(
thread_id="t1",
assistant_id="a1",
langsmith_tracing={"project_name": "my-project"},
)
assert captured["json"]["langsmith_tracer"] == {
"project_name": "my-project",
}
+15 -15
View File
@@ -1,5 +1,5 @@
version = 1
revision = 2
revision = 3
requires-python = ">=3.10"
[[package]]
@@ -262,7 +262,7 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.3.1"
version = "1.2.22"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
@@ -274,14 +274,14 @@ dependencies = [
{ name = "typing-extensions" },
{ name = "uuid-utils" },
]
sdist = { url = "https://files.pythonhosted.org/packages/f4/fe/abeae8d0d2899e191d67c6c7f065f7e52a953f30b21ef327fa49084e4af9/langchain_core-1.3.1.tar.gz", hash = "sha256:41b384055799f93f34520df6bf7b80e2e5e23153cdfd46874251c6c9916ea030", size = 862403, upload-time = "2026-04-23T18:54:01.857Z" }
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[[package]]
name = "langgraph"
version = "1.1.9"
version = "1.1.6"
source = { editable = "../langgraph" }
dependencies = [
{ name = "langchain-core" },
@@ -294,7 +294,7 @@ 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 = "../prebuilt" },
{ name = "langgraph-sdk", editable = "." },
@@ -365,7 +365,7 @@ test = [
[[package]]
name = "langgraph-checkpoint"
version = "4.0.2"
version = "4.0.1"
source = { editable = "../checkpoint" }
dependencies = [
{ name = "langchain-core" },
@@ -413,7 +413,7 @@ test = [
[[package]]
name = "langgraph-prebuilt"
version = "1.0.11"
version = "1.0.9"
source = { editable = "../prebuilt" }
dependencies = [
{ name = "langchain-core" },
@@ -422,7 +422,7 @@ dependencies = [
[package.metadata]
requires-dist = [
{ name = "langchain-core", specifier = ">=1.3.1" },
{ name = "langchain-core", specifier = ">=1.0.0" },
{ name = "langgraph-checkpoint", editable = "../checkpoint" },
]
@@ -534,7 +534,7 @@ test = [
[[package]]
name = "langsmith"
version = "0.7.31"
version = "0.7.20"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "httpx" },
@@ -547,9 +547,9 @@ 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" }
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[[package]]
@@ -1000,7 +1000,7 @@ 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'" },
@@ -1011,9 +1011,9 @@ dependencies = [
{ name = "pygments" },
{ name = "tomli", marker = "python_full_version < '3.11'" },
]
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