chore: drop Python 3.9 (and syntax) (#6289)

* `strict=False` is the default, pyupgrade to min version 3.10 adds this
to be explicit w/ behavior

libs/checkpoint-postgres/langgraph/checkpoint/postgres/__init__.py

@@ -94,6 +94,7 @@ class PostgresSaver(BasePostgresSaver):
             for v, migration in zip(
                 range(version + 1, len(self.MIGRATIONS)),
                 self.MIGRATIONS[version + 1 :],
+                strict=False,
             ):
                 cur.execute(migration)
                 cur.execute(f"INSERT INTO checkpoint_migrations (v) VALUES ({v})")

libs/checkpoint-postgres/langgraph/checkpoint/postgres/_ainternal.py

@@ -2,13 +2,12 @@
 
 from collections.abc import AsyncIterator
 from contextlib import asynccontextmanager
-from typing import Union
 
 from psycopg import AsyncConnection
 from psycopg.rows import DictRow
 from psycopg_pool import AsyncConnectionPool
 
-Conn = Union[AsyncConnection[DictRow], AsyncConnectionPool[AsyncConnection[DictRow]]]
+Conn = AsyncConnection[DictRow] | AsyncConnectionPool[AsyncConnection[DictRow]]
 
 
 @asynccontextmanager

libs/checkpoint-postgres/langgraph/checkpoint/postgres/_internal.py

@@ -2,13 +2,12 @@
 
 from collections.abc import Iterator
 from contextlib import contextmanager
-from typing import Union
 
 from psycopg import Connection
 from psycopg.rows import DictRow
 from psycopg_pool import ConnectionPool
 
-Conn = Union[Connection[DictRow], ConnectionPool[Connection[DictRow]]]
+Conn = Connection[DictRow] | ConnectionPool[Connection[DictRow]]
 
 
 @contextmanager

libs/checkpoint-postgres/langgraph/checkpoint/postgres/aio.py

@@ -99,6 +99,7 @@ class AsyncPostgresSaver(BasePostgresSaver):
             for v, migration in zip(
                 range(version + 1, len(self.MIGRATIONS)),
                 self.MIGRATIONS[version + 1 :],
+                strict=False,
             ):
                 await cur.execute(migration)
                 await cur.execute(f"INSERT INTO checkpoint_migrations (v) VALUES ({v})")

libs/checkpoint-postgres/langgraph/checkpoint/postgres/base.py

@@ -4,7 +4,7 @@ import random
 import warnings
 from collections.abc import Sequence
 from importlib.metadata import version as get_version
-from typing import Any, Optional, cast
+from typing import Any, cast
 
 from langchain_core.runnables import RunnableConfig
 from langgraph.checkpoint.base import (
@@ -16,7 +16,7 @@ from langgraph.checkpoint.base import (
 from langgraph.checkpoint.serde.types import TASKS
 from psycopg.types.json import Jsonb
 
-MetadataInput = Optional[dict[str, Any]]
+MetadataInput = dict[str, Any] | None
 
 try:
     major, minor = get_version("langgraph").split(".")[:2]

libs/checkpoint-postgres/langgraph/checkpoint/postgres/shallow.py

@@ -3,7 +3,7 @@ import threading
 import warnings
 from collections.abc import AsyncIterator, Iterator, Sequence
 from contextlib import asynccontextmanager, contextmanager
-from typing import Any, Optional
+from typing import Any
 
 from langchain_core.runnables import RunnableConfig
 from langgraph.checkpoint.base import (
@@ -151,7 +151,7 @@ def _dump_blobs(
     checkpoint_ns: str,
     values: dict[str, Any],
     versions: ChannelVersions,
-) -> list[tuple[str, str, str, str, Optional[bytes]]]:
+) -> list[tuple[str, str, str, str, bytes | None]]:
     if not versions:
         return []
 
@@ -186,8 +186,8 @@ class ShallowPostgresSaver(BasePostgresSaver):
     def __init__(
         self,
         conn: _internal.Conn,
-        pipe: Optional[Pipeline] = None,
-        serde: Optional[SerializerProtocol] = None,
+        pipe: Pipeline | None = None,
+        serde: SerializerProtocol | None = None,
     ) -> None:
         warnings.warn(
             "ShallowPostgresSaver is deprecated as of version 2.0.20 and will be removed in 3.0.0. "
@@ -249,6 +249,7 @@ class ShallowPostgresSaver(BasePostgresSaver):
             for v, migration in zip(
                 range(version + 1, len(self.MIGRATIONS)),
                 self.MIGRATIONS[version + 1 :],
+                strict=False,
             ):
                 cur.execute(migration)
                 cur.execute(f"INSERT INTO checkpoint_migrations (v) VALUES ({v})")
@@ -257,11 +258,11 @@ class ShallowPostgresSaver(BasePostgresSaver):
 
     def list(
         self,
-        config: Optional[RunnableConfig],
+        config: RunnableConfig | None,
         *,
-        filter: Optional[dict[str, Any]] = None,
-        before: Optional[RunnableConfig] = None,
-        limit: Optional[int] = None,
+        filter: dict[str, Any] | None = None,
+        before: RunnableConfig | None = None,
+        limit: int | None = None,
     ) -> Iterator[CheckpointTuple]:
         """List checkpoints from the database.
 
@@ -299,7 +300,7 @@ class ShallowPostgresSaver(BasePostgresSaver):
                     pending_writes=self._load_writes(value["pending_writes"]),
                 )
 
-    def get_tuple(self, config: RunnableConfig) -> Optional[CheckpointTuple]:
+    def get_tuple(self, config: RunnableConfig) -> CheckpointTuple | None:
         """Get a checkpoint tuple from the database.
 
         This method retrieves a checkpoint tuple from the Postgres database based on the
@@ -542,8 +543,8 @@ class AsyncShallowPostgresSaver(BasePostgresSaver):
     def __init__(
         self,
         conn: _ainternal.Conn,
-        pipe: Optional[AsyncPipeline] = None,
-        serde: Optional[SerializerProtocol] = None,
+        pipe: AsyncPipeline | None = None,
+        serde: SerializerProtocol | None = None,
     ) -> None:
         warnings.warn(
             "AsyncShallowPostgresSaver is deprecated as of version 2.0.20 and will be removed in 3.0.0. "
@@ -570,7 +571,7 @@ class AsyncShallowPostgresSaver(BasePostgresSaver):
         conn_string: str,
         *,
         pipeline: bool = False,
-        serde: Optional[SerializerProtocol] = None,
+        serde: SerializerProtocol | None = None,
     ) -> AsyncIterator["AsyncShallowPostgresSaver"]:
         """Create a new AsyncShallowPostgresSaver instance from a connection string.
 
@@ -610,6 +611,7 @@ class AsyncShallowPostgresSaver(BasePostgresSaver):
             for v, migration in zip(
                 range(version + 1, len(self.MIGRATIONS)),
                 self.MIGRATIONS[version + 1 :],
+                strict=False,
             ):
                 await cur.execute(migration)
                 await cur.execute(f"INSERT INTO checkpoint_migrations (v) VALUES ({v})")
@@ -618,11 +620,11 @@ class AsyncShallowPostgresSaver(BasePostgresSaver):
 
     async def alist(
         self,
-        config: Optional[RunnableConfig],
+        config: RunnableConfig | None,
         *,
-        filter: Optional[dict[str, Any]] = None,
-        before: Optional[RunnableConfig] = None,
-        limit: Optional[int] = None,
+        filter: dict[str, Any] | None = None,
+        before: RunnableConfig | None = None,
+        limit: int | None = None,
     ) -> AsyncIterator[CheckpointTuple]:
         """List checkpoints from the database asynchronously.
 
@@ -662,7 +664,7 @@ class AsyncShallowPostgresSaver(BasePostgresSaver):
                     ),
                 )
 
-    async def aget_tuple(self, config: RunnableConfig) -> Optional[CheckpointTuple]:
+    async def aget_tuple(self, config: RunnableConfig) -> CheckpointTuple | None:
         """Get a checkpoint tuple from the database asynchronously.
 
         This method retrieves a checkpoint tuple from the Postgres database based on the
@@ -861,11 +863,11 @@ class AsyncShallowPostgresSaver(BasePostgresSaver):
 
     def list(
         self,
-        config: Optional[RunnableConfig],
+        config: RunnableConfig | None,
         *,
-        filter: Optional[dict[str, Any]] = None,
-        before: Optional[RunnableConfig] = None,
-        limit: Optional[int] = None,
+        filter: dict[str, Any] | None = None,
+        before: RunnableConfig | None = None,
+        limit: int | None = None,
     ) -> Iterator[CheckpointTuple]:
         """List checkpoints from the database.
 
@@ -883,7 +885,7 @@ class AsyncShallowPostgresSaver(BasePostgresSaver):
             except StopAsyncIteration:
                 break
 
-    def get_tuple(self, config: RunnableConfig) -> Optional[CheckpointTuple]:
+    def get_tuple(self, config: RunnableConfig) -> CheckpointTuple | None:
         """Get a checkpoint tuple from the database.
 
         This method retrieves a checkpoint tuple from the Postgres database based on the

libs/checkpoint-postgres/langgraph/store/postgres/aio.py

@@ -2,10 +2,10 @@ from __future__ import annotations
 
 import asyncio
 import logging
-from collections.abc import AsyncIterator, Iterable, Sequence
+from collections.abc import AsyncIterator, Callable, Iterable, Sequence
 from contextlib import asynccontextmanager
 from types import TracebackType
-from typing import Any, Callable, cast
+from typing import Any, cast
 
 import orjson
 from langgraph.store.base import (
@@ -465,7 +465,9 @@ class AsyncPostgresStore(AsyncBatchedBaseStore, BasePostgresStore[_ainternal.Con
                     query,
                     [
                         p
-                        for (ns, k, pathname, _), vector in zip(txt_params, vectors)
+                        for (ns, k, pathname, _), vector in zip(
+                            txt_params, vectors, strict=False
+                        )
                         for p in (ns, k, pathname, vector)
                     ],
                 )
@@ -486,13 +488,13 @@ class AsyncPostgresStore(AsyncBatchedBaseStore, BasePostgresStore[_ainternal.Con
             vectors = await self.embeddings.aembed_documents(
                 [query for _, query in embedding_requests]
             )
-            for (idx, _), vector in zip(embedding_requests, vectors):
+            for (idx, _), vector in zip(embedding_requests, vectors, strict=False):
                 _paramslist = queries[idx][1]
                 for i in range(len(_paramslist)):
                     if _paramslist[i] is PLACEHOLDER:
                         _paramslist[i] = vector
 
-        for (idx, _), (query, params) in zip(search_ops, queries):
+        for (idx, _), (query, params) in zip(search_ops, queries, strict=False):
             await cur.execute(query, params)
             rows = cast(list[Row], await cur.fetchall())
             items = [
@@ -510,7 +512,7 @@ class AsyncPostgresStore(AsyncBatchedBaseStore, BasePostgresStore[_ainternal.Con
         cur: AsyncCursor[DictRow],
     ) -> None:
         queries = self._get_batch_list_namespaces_queries(list_ops)
-        for (query, params), (idx, _) in zip(queries, list_ops):
+        for (query, params), (idx, _) in zip(queries, list_ops, strict=False):
             await cur.execute(query, params)
             rows = cast(list[dict], await cur.fetchall())
             namespaces = [_decode_ns_bytes(row["truncated_prefix"]) for row in rows]

libs/checkpoint-postgres/langgraph/store/postgres/base.py

@@ -6,18 +6,16 @@ import json
 import logging
 import threading
 from collections import defaultdict
-from collections.abc import Iterable, Iterator, Sequence
+from collections.abc import Callable, Iterable, Iterator, Sequence
 from contextlib import contextmanager
 from datetime import datetime
 from typing import (
     TYPE_CHECKING,
     Any,
-    Callable,
     Generic,
     Literal,
     NamedTuple,
     TypeVar,
-    Union,
     cast,
 )
 
@@ -141,7 +139,7 @@ CREATE INDEX CONCURRENTLY IF NOT EXISTS store_vectors_embedding_idx ON store_vec
 ]
 
 
-C = TypeVar("C", bound=Union[_pg_internal.Conn, _ainternal.Conn])
+C = TypeVar("C", bound=_pg_internal.Conn | _ainternal.Conn)
 
 
 class PoolConfig(TypedDict, total=False):
@@ -255,7 +253,7 @@ class BasePostgresStore(Generic[C]):
 
         results = []
         for namespace, items in namespace_groups.items():
-            _, keys = zip(*items)
+            _, keys = zip(*items, strict=False)
             this_refresh_ttls = refresh_ttls[namespace]
 
             query = """
@@ -1014,7 +1012,9 @@ class PostgresStore(BaseStore, BasePostgresStore[_pg_internal.Conn]):
                     query,
                     [
                         p
-                        for (ns, k, pathname, _), vector in zip(txt_params, vectors)
+                        for (ns, k, pathname, _), vector in zip(
+                            txt_params, vectors, strict=False
+                        )
                         for p in (ns, k, pathname, vector)
                     ],
                 )
@@ -1035,13 +1035,15 @@ class PostgresStore(BaseStore, BasePostgresStore[_pg_internal.Conn]):
             embeddings = self.embeddings.embed_documents(
                 [query for _, query in embedding_requests]
             )
-            for (idx, _), embedding in zip(embedding_requests, embeddings):
+            for (idx, _), embedding in zip(
+                embedding_requests, embeddings, strict=False
+            ):
                 _paramslist = queries[idx][1]
                 for i in range(len(_paramslist)):
                     if _paramslist[i] is PLACEHOLDER:
                         _paramslist[i] = embedding
 
-        for (idx, _), (query, params) in zip(search_ops, queries):
+        for (idx, _), (query, params) in zip(search_ops, queries, strict=False):
             cur.execute(query, params)
             rows = cast(list[Row], cur.fetchall())
             results[idx] = [
@@ -1058,7 +1060,7 @@ class PostgresStore(BaseStore, BasePostgresStore[_pg_internal.Conn]):
         cur: Cursor[DictRow],
     ) -> None:
         for (query, params), (idx, _) in zip(
-            self._get_batch_list_namespaces_queries(list_ops), list_ops
+            self._get_batch_list_namespaces_queries(list_ops), list_ops, strict=False
         ):
             cur.execute(query, params)
             results[idx] = [_decode_ns_bytes(row["truncated_prefix"]) for row in cur]

libs/checkpoint-postgres/pyproject.toml

@@ -7,7 +7,7 @@ name = "langgraph-checkpoint-postgres"
 version = "2.0.25"
 description = "Library with a Postgres implementation of LangGraph checkpoint saver."
 authors = []
-requires-python = ">=3.9"
+requires-python = ">=3.10"
 readme = "README.md"
 license = "MIT"
 license-files = ['LICENSE']
@@ -55,8 +55,10 @@ lint.select = [
   "UP", # pyupgrade
   "B",  # flake8-bugbear
   "I",  # isort
+  "UP", # pyupgrade
 ]
 lint.ignore = ["E501", "B008"]
+target-version = "py310"
 
 [tool.mypy]
 # https://mypy.readthedocs.io/en/stable/config_file.html

libs/checkpoint-postgres/tests/test_async_store.py

@@ -3,7 +3,6 @@ from __future__ import annotations
 
 import asyncio
 import itertools
-import sys
 import uuid
 from collections.abc import AsyncIterator
 from concurrent.futures import ThreadPoolExecutor
@@ -34,9 +33,6 @@ TTL_MINUTES = TTL_SECONDS / 60
 
 @pytest.fixture(scope="function", params=["default", "pipe", "pool"])
 async def store(request) -> AsyncIterator[AsyncPostgresStore]:
-    if sys.version_info < (3, 10):
-        pytest.skip("Async Postgres tests require Python 3.10+")
-
     database = f"test_{uuid.uuid4().hex[:16]}"
     uri_parts = DEFAULT_URI.split("/")
     uri_base = "/".join(uri_parts[:-1])
@@ -358,8 +354,6 @@ async def _create_vector_store(
     text_fields: list[str] | None = None,
 ) -> AsyncIterator[AsyncPostgresStore]:
     """Create a store with vector search enabled."""
-    if sys.version_info < (3, 10):
-        pytest.skip("Async Postgres tests require Python 3.10+")
 
     database = f"test_{uuid.uuid4().hex[:16]}"
     uri_parts = DEFAULT_URI.split("/")

libs/checkpoint-postgres/tests/test_store.py

@@ -754,7 +754,7 @@ def _cosine_similarity(X: list[float], Y: list[list[float]]) -> list[float]:
 
     similarities = []
     for y in Y:
-        dot_product = sum(a * b for a, b in zip(X, y))
+        dot_product = sum(a * b for a, b in zip(X, y, strict=False))
         norm1 = sum(a * a for a in X) ** 0.5
         norm2 = sum(a * a for a in y) ** 0.5
         similarity = dot_product / (norm1 * norm2) if norm1 > 0 and norm2 > 0 else 0.0
@@ -771,7 +771,7 @@ def _inner_product(X: list[float], Y: list[list[float]]) -> list[float]:
 
     similarities = []
     for y in Y:
-        similarity = sum(a * b for a, b in zip(X, y))
+        similarity = sum(a * b for a, b in zip(X, y, strict=False))
         similarities.append(similarity)
 
     return similarities
@@ -785,7 +785,7 @@ def _neg_l2_distance(X: list[float], Y: list[list[float]]) -> list[float]:
 
     similarities = []
     for y in Y:
-        similarity = sum((a - b) ** 2 for a, b in zip(X, y)) ** 0.5
+        similarity = sum((a - b) ** 2 for a, b in zip(X, y, strict=False)) ** 0.5
         similarities.append(-similarity)
 
     return similarities

libs/checkpoint-postgres/uv.lock

@@ -1,6 +1,6 @@
 version = 1
-revision = 3
-requires-python = ">=3.9"
+revision = 2
+requires-python = ">=3.10"
 
 [[package]]
 name = "annotated-types"
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libs/checkpoint-sqlite/langgraph/checkpoint/sqlite/aio.py

@@ -2,9 +2,9 @@ from __future__ import annotations
 
 import asyncio
 import random
-from collections.abc import AsyncIterator, Iterator, Sequence
+from collections.abc import AsyncIterator, Callable, Iterator, Sequence
 from contextlib import asynccontextmanager
-from typing import Any, Callable, TypeVar, cast
+from typing import Any, TypeVar, cast
 
 import aiosqlite
 from langchain_core.runnables import RunnableConfig

libs/checkpoint-sqlite/langgraph/store/sqlite/aio.py

@@ -3,10 +3,10 @@ from __future__ import annotations
 import asyncio
 import logging
 from collections import defaultdict
-from collections.abc import AsyncIterator, Iterable, Sequence
+from collections.abc import AsyncIterator, Callable, Iterable, Sequence
 from contextlib import asynccontextmanager
 from types import TracebackType
-from typing import Any, Callable, cast
+from typing import Any, cast
 
 import aiosqlite
 import orjson
@@ -484,7 +484,7 @@ class AsyncSqliteStore(AsyncBatchedBaseStore, BaseSqliteStore):
 
             # Convert vectors to SQLite-friendly format
             vector_params = []
-            for (ns, k, pathname, _), vector in zip(txt_params, vectors):
+            for (ns, k, pathname, _), vector in zip(txt_params, vectors, strict=False):
                 vector_params.extend(
                     [ns, k, pathname, sqlite_vec.serialize_float32(vector)]
                 )
@@ -517,7 +517,9 @@ class AsyncSqliteStore(AsyncBatchedBaseStore, BaseSqliteStore):
                 [query for _, query in embedding_requests]
             )
 
-            for (embed_req_idx, _), embedding in zip(embedding_requests, vectors):
+            for (embed_req_idx, _), embedding in zip(
+                embedding_requests, vectors, strict=False
+            ):
                 # Find the corresponding query in prepared_queries
                 # The embed_req_idx is the original index in search_ops, which should map to prepared_queries
                 if embed_req_idx < len(prepared_queries):
@@ -531,7 +533,7 @@ class AsyncSqliteStore(AsyncBatchedBaseStore, BaseSqliteStore):
                     )
 
         for (original_op_idx, _), (query, params, needs_refresh) in zip(
-            search_ops, prepared_queries
+            search_ops, prepared_queries, strict=False
         ):
             await cur.execute(query, params)
             rows = await cur.fetchall()
@@ -614,7 +616,7 @@ class AsyncSqliteStore(AsyncBatchedBaseStore, BaseSqliteStore):
             cur: Database cursor.
         """
         queries = self._get_batch_list_namespaces_queries(list_ops)
-        for (query, params), (idx, _) in zip(queries, list_ops):
+        for (query, params), (idx, _) in zip(queries, list_ops, strict=False):
             await cur.execute(query, params)
 
             rows = await cur.fetchall()

libs/checkpoint-sqlite/langgraph/store/sqlite/base.py

@@ -7,9 +7,9 @@ import re
 import sqlite3
 import threading
 from collections import defaultdict
-from collections.abc import Iterable, Iterator, Sequence
+from collections.abc import Callable, Iterable, Iterator, Sequence
 from contextlib import contextmanager
-from typing import Any, Callable, Literal, NamedTuple, cast
+from typing import Any, Literal, NamedTuple, cast
 
 import orjson
 import sqlite_vec  # type: ignore[import-untyped]
@@ -232,7 +232,7 @@ class BaseSqliteStore:
 
         results = []
         for namespace, items in namespace_groups.items():
-            _, keys = zip(*items)
+            _, keys = zip(*items, strict=False)
             this_refresh_ttls = refresh_ttls[namespace]
             refresh_ttl_any = any(this_refresh_ttls)
 
@@ -829,7 +829,7 @@ class SqliteStore(BaseSqliteStore, BaseStore):
 
         results = []
         for namespace, items in namespace_groups.items():
-            _, keys = zip(*items)
+            _, keys = zip(*items, strict=False)
             this_refresh_ttls = refresh_ttls[namespace]
             refresh_ttl_any = any(this_refresh_ttls)
 
@@ -1304,7 +1304,7 @@ class SqliteStore(BaseSqliteStore, BaseStore):
 
             # Convert vectors to SQLite-friendly format
             vector_params = []
-            for (ns, k, pathname, _), vector in zip(txt_params, vectors):
+            for (ns, k, pathname, _), vector in zip(txt_params, vectors, strict=False):
                 vector_params.extend(
                     [ns, k, pathname, sqlite_vec.serialize_float32(vector)]
                 )
@@ -1332,7 +1332,9 @@ class SqliteStore(BaseSqliteStore, BaseStore):
             )
 
             # Replace placeholders with actual embeddings
-            for (embed_req_idx, _), embedding in zip(embedding_requests, embeddings):
+            for (embed_req_idx, _), embedding in zip(
+                embedding_requests, embeddings, strict=False
+            ):
                 if embed_req_idx < len(prepared_queries):
                     _params_list: list = prepared_queries[embed_req_idx][1]
                     for i, param in enumerate(_params_list):
@@ -1344,7 +1346,7 @@ class SqliteStore(BaseSqliteStore, BaseStore):
                     )
 
         for (original_op_idx, _), (query, params, needs_refresh) in zip(
-            search_ops, prepared_queries
+            search_ops, prepared_queries, strict=False
         ):
             cur.execute(query, params)
             rows = cur.fetchall()
@@ -1417,7 +1419,7 @@ class SqliteStore(BaseSqliteStore, BaseStore):
         cur: sqlite3.Cursor,
     ) -> None:
         queries = self._get_batch_list_namespaces_queries(list_ops)
-        for (query, params), (idx, _) in zip(queries, list_ops):
+        for (query, params), (idx, _) in zip(queries, list_ops, strict=False):
             cur.execute(query, params)
             results[idx] = [_decode_ns_text(row[0]) for row in cur.fetchall()]
 

libs/checkpoint-sqlite/pyproject.toml

@@ -7,7 +7,7 @@ name = "langgraph-checkpoint-sqlite"
 version = "2.0.11"
 description = "Library with a SQLite implementation of LangGraph checkpoint saver."
 authors = []
-requires-python = ">=3.9"
+requires-python = ">=3.10"
 readme = "README.md"
 license = "MIT"
 license-files = ['LICENSE']
@@ -53,8 +53,10 @@ lint.select = [
   "UP", # pyupgrade
   "B",  # flake8-bugbear
   "I",  # isort
+  "UP", # pyupgrade
 ]
 lint.ignore = ["E501", "B008"]
+target-version = "py310"
 
 [tool.pytest-watcher]
 now = true

libs/checkpoint-sqlite/tests/test_async_store.py

@@ -5,7 +5,7 @@ import tempfile
 import uuid
 from collections.abc import AsyncIterator, Generator, Iterable
 from contextlib import asynccontextmanager
-from typing import Optional, Union, cast
+from typing import cast
 
 import pytest
 from langgraph.store.base import (
@@ -51,7 +51,7 @@ def fake_embeddings() -> CharacterEmbeddings:
 async def create_vector_store(
     fake_embeddings: CharacterEmbeddings,
     conn_string: str = ":memory:",
-    text_fields: Optional[list[str]] = None,
+    text_fields: list[str] | None = None,
 ) -> AsyncIterator[AsyncSqliteStore]:
     """Create an AsyncSqliteStore with vector search capabilities."""
     index_config: SqliteIndexConfig = {
@@ -168,7 +168,7 @@ async def test_abatch_order(store: AsyncSqliteStore) -> None:
     ]
 
     results = await store.abatch(
-        cast(Iterable[Union[GetOp, PutOp, SearchOp, ListNamespacesOp]], ops)
+        cast(Iterable[GetOp | PutOp | SearchOp | ListNamespacesOp], ops)
     )
     assert len(results) == 5
     assert isinstance(results[0], Item)
@@ -193,7 +193,7 @@ async def test_abatch_order(store: AsyncSqliteStore) -> None:
     ]
 
     results_reordered = await store.abatch(
-        cast(Iterable[Union[GetOp, PutOp, SearchOp, ListNamespacesOp]], ops_reordered)
+        cast(Iterable[GetOp | PutOp | SearchOp | ListNamespacesOp], ops_reordered)
     )
     assert len(results_reordered) == 5
     assert isinstance(results_reordered[0], list)
@@ -681,7 +681,7 @@ async def test_search_items(
         fake_embeddings, text_fields=["key0", "key1", "key3"]
     ) as store:
         # Insert test data
-        for ns, item in zip(test_namespaces, test_items):
+        for ns, item in zip(test_namespaces, test_items, strict=False):
             key = f"item_{ns[-1]}"
             await store.aput(ns, key, item)
 

libs/checkpoint-sqlite/tests/test_store.py

@@ -5,7 +5,7 @@ import tempfile
 import uuid
 from collections.abc import Generator, Iterable
 from contextlib import contextmanager
-from typing import Any, Literal, Optional, Union, cast
+from typing import Any, Literal, cast
 
 import pytest
 from langchain_core.embeddings import Embeddings
@@ -110,7 +110,7 @@ VECTOR_TYPES = ["cosine"]  # SQLite only supports cosine similarity
 @contextmanager
 def create_vector_store(
     fake_embeddings: CharacterEmbeddings,
-    text_fields: Optional[list[str]] = None,
+    text_fields: list[str] | None = None,
     distance_type: str = "cosine",
     conn_type: Literal["memory", "file"] = "memory",
 ) -> Generator[SqliteStore, None, None]:
@@ -153,7 +153,7 @@ def test_batch_order(store: SqliteStore) -> None:
     ]
 
     results = store.batch(
-        cast(Iterable[Union[GetOp, PutOp, SearchOp, ListNamespacesOp]], ops)
+        cast(Iterable[GetOp | PutOp | SearchOp | ListNamespacesOp], ops)
     )
     assert len(results) == 5
     assert isinstance(results[0], Item)
@@ -182,7 +182,7 @@ def test_batch_order(store: SqliteStore) -> None:
     ]
 
     results_reordered = store.batch(
-        cast(Iterable[Union[GetOp, PutOp, SearchOp, ListNamespacesOp]], ops_reordered)
+        cast(Iterable[GetOp | PutOp | SearchOp | ListNamespacesOp], ops_reordered)
     )
     assert len(results_reordered) == 5
     assert isinstance(results_reordered[0], list)
@@ -301,7 +301,7 @@ def test_batch_list_namespaces_ops(store: SqliteStore) -> None:
     ]
 
     results = store.batch(
-        cast(Iterable[Union[GetOp, PutOp, SearchOp, ListNamespacesOp]], ops)
+        cast(Iterable[GetOp | PutOp | SearchOp | ListNamespacesOp], ops)
     )
     assert len(results) == 3
 
@@ -778,7 +778,7 @@ def _cosine_similarity(X: list[float], Y: list[list[float]]) -> list[float]:
 
     similarities = []
     for y in Y:
-        dot_product = sum(a * b for a, b in zip(X, y))
+        dot_product = sum(a * b for a, b in zip(X, y, strict=False))
         norm1 = sum(a * a for a in X) ** 0.5
         norm2 = sum(a * a for a in y) ** 0.5
         similarity = dot_product / (norm1 * norm2) if norm1 > 0 and norm2 > 0 else 0.0
@@ -1011,7 +1011,7 @@ def test_search_items(
         fake_embeddings, text_fields=["key0", "key1", "key3"]
     ) as store:
         # Insert test data
-        for ns, item in zip(test_namespaces, test_items):
+        for ns, item in zip(test_namespaces, test_items, strict=False):
             key = f"item_{ns[-1]}"
             store.put(ns, key, item)
 

libs/checkpoint-sqlite/uv.lock

@@ -1,6 +1,6 @@
 version = 1
-revision = 3
-requires-python = ">=3.9"
+revision = 2
+requires-python = ">=3.10"
 
 [[package]]
 name = "aiosqlite"
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libs/checkpoint/langgraph/checkpoint/base/__init__.py

@@ -8,7 +8,6 @@ from typing import (  # noqa: UP035
     NamedTuple,
     TypedDict,
     TypeVar,
-    Union,
 )
 
 from langchain_core.runnables import RunnableConfig
@@ -54,7 +53,7 @@ class CheckpointMetadata(TypedDict, total=False):
     """
 
 
-ChannelVersions = dict[str, Union[str, int, float]]
+ChannelVersions = dict[str, str | int | float]
 
 
 class Checkpoint(TypedDict):

libs/checkpoint/langgraph/checkpoint/serde/jsonplus.py

@@ -9,7 +9,7 @@ import pickle
 import re
 import sys
 from collections import deque
-from collections.abc import Sequence
+from collections.abc import Callable, Sequence
 from datetime import date, datetime, time, timedelta, timezone
 from enum import Enum
 from inspect import isclass
@@ -21,7 +21,7 @@ from ipaddress import (
     IPv6Interface,
     IPv6Network,
 )
-from typing import Any, Callable, cast
+from typing import Any, cast
 from uuid import UUID
 from zoneinfo import ZoneInfo
 

libs/checkpoint/langgraph/checkpoint/serde/types.py

@@ -1,7 +1,6 @@
 from collections.abc import Sequence
 from typing import (
     Any,
-    Optional,
     Protocol,
     TypeVar,
     runtime_checkable,
@@ -28,9 +27,9 @@ class ChannelProtocol(Protocol[Value, Update, C]):
     @property
     def UpdateType(self) -> Any: ...
 
-    def checkpoint(self) -> Optional[C]: ...
+    def checkpoint(self) -> C | None: ...
 
-    def from_checkpoint(self, checkpoint: Optional[C]) -> Self: ...
+    def from_checkpoint(self, checkpoint: C | None) -> Self: ...
 
     def update(self, values: Sequence[Update]) -> bool: ...
 

libs/checkpoint/langgraph/store/base/__init__.py

@@ -19,7 +19,6 @@ from typing import (
     Literal,
     NamedTuple,
     TypedDict,
-    Union,
     cast,
 )
 
@@ -302,7 +301,7 @@ class SearchOp(NamedTuple):
 
 
 # Type representing a namespace path that can include wildcards
-NamespacePath = tuple[Union[str, Literal["*"]], ...]
+NamespacePath = tuple[str | Literal["*"], ...]
 """A tuple representing a namespace path that can include wildcards.
 
 ???+ example "Examples"
@@ -513,8 +512,8 @@ class PutOp(NamedTuple):
     """
 
 
-Op = Union[GetOp, SearchOp, PutOp, ListNamespacesOp]
-Result = Union[Item, list[Item], list[SearchItem], list[tuple[str, ...]], None]
+Op = GetOp | SearchOp | PutOp | ListNamespacesOp
+Result = Item | list[Item] | list[SearchItem] | list[tuple[str, ...]] | None
 
 
 class InvalidNamespaceError(ValueError):

libs/checkpoint/langgraph/store/base/batch.py

@@ -5,8 +5,8 @@ from __future__ import annotations
 import asyncio
 import functools
 import weakref
-from collections.abc import Iterable
-from typing import Any, Callable, Literal, TypeVar
+from collections.abc import Callable, Iterable
+from typing import Any, Literal, TypeVar
 
 from langgraph.store.base import (
     NOT_PROVIDED,
@@ -349,7 +349,7 @@ async def _run(
                         results = [results[ix] for ix in listen]
 
                     # set the results of each operation
-                    for fut, result in zip(futs, results):
+                    for fut, result in zip(futs, results, strict=False):
                         # guard against future being done (e.g. cancelled)
                         if not fut.done():
                             fut.set_result(result)

libs/checkpoint/langgraph/store/base/embed.py

@@ -11,8 +11,8 @@ from __future__ import annotations
 import asyncio
 import functools
 import json
-from collections.abc import Awaitable, Sequence
-from typing import Any, Callable
+from collections.abc import Awaitable, Callable, Sequence
+from typing import Any
 
 from langchain_core.embeddings import Embeddings
 

libs/checkpoint/langgraph/store/memory/__init__.py

@@ -295,7 +295,7 @@ class InMemoryStore(BaseStore):
             if queries:
                 coros = [self.embeddings.aembed_query(q) for q in list(queries)]
                 results = await asyncio.gather(*coros)
-                queryinmem_store = dict(zip(queries, results))
+                queryinmem_store = dict(zip(queries, results, strict=False))
 
         return queryinmem_store
 
@@ -323,7 +323,9 @@ class InMemoryStore(BaseStore):
 
                 scores = _cosine_similarity(query_embedding, flat_vectors)
                 sorted_results = sorted(
-                    zip(scores, flat_items), key=lambda x: x[0], reverse=True
+                    zip(scores, flat_items, strict=False),
+                    key=lambda x: x[0],
+                    reverse=True,
                 )
                 # max pooling
                 seen: set[tuple[tuple[str, ...], str]] = set()
@@ -452,7 +454,7 @@ class InMemoryStore(BaseStore):
                 f"Number of embeddings ({len(embeddings)}) does not"
                 f" match number of indices ({len(indices)})"
             )
-        for embedding, (ns, key, path) in zip(embeddings, indices):
+        for embedding, (ns, key, path) in zip(embeddings, indices, strict=False):
             self._vectors[ns][key][path] = embedding
 
     def _handle_list_namespaces(self, op: ListNamespacesOp) -> list[tuple[str, ...]]:
@@ -511,7 +513,7 @@ def _cosine_similarity(X: list[float], Y: list[list[float]]) -> list[float]:
 
     similarities = []
     for y in Y:
-        dot_product = sum(a * b for a, b in zip(X, y))
+        dot_product = sum(a * b for a, b in zip(X, y, strict=False))
         norm1 = sum(a * a for a in X) ** 0.5
         norm2 = sum(a * a for a in y) ** 0.5
         similarity = dot_product / (norm1 * norm2) if norm1 > 0 and norm2 > 0 else 0.0
@@ -529,14 +531,14 @@ def _does_match(match_condition: MatchCondition, key: tuple[str, ...]) -> bool:
         return False
 
     if match_type == "prefix":
-        for k_elem, p_elem in zip(key, path):
+        for k_elem, p_elem in zip(key, path, strict=False):
             if p_elem == "*":
                 continue  # Wildcard matches any element
             if k_elem != p_elem:
                 return False
         return True
     elif match_type == "suffix":
-        for k_elem, p_elem in zip(reversed(key), reversed(path)):
+        for k_elem, p_elem in zip(reversed(key), reversed(path), strict=False):
             if p_elem == "*":
                 continue  # Wildcard matches any element
             if k_elem != p_elem:
@@ -563,7 +565,10 @@ def _compare_values(item_value: Any, filter_value: Any) -> bool:
         return (
             isinstance(item_value, (list, tuple))
             and len(item_value) == len(filter_value)
-            and all(_compare_values(iv, fv) for iv, fv in zip(item_value, filter_value))
+            and all(
+                _compare_values(iv, fv)
+                for iv, fv in zip(item_value, filter_value, strict=False)
+            )
         )
     else:
         return item_value == filter_value

libs/checkpoint/pyproject.toml

@@ -7,7 +7,7 @@ name = "langgraph-checkpoint"
 version = "2.1.2"
 description = "Library with base interfaces for LangGraph checkpoint savers."
 authors = []
-requires-python = ">=3.9"
+requires-python = ">=3.10"
 readme = "README.md"
 license = "MIT"
 license-files = ['LICENSE']
@@ -49,8 +49,10 @@ lint.select = [
   "UP", # pyupgrade
   "B",  # flake8-bugbear
   "I",  # isort
+  "UP", # pyupgrade
 ]
 lint.ignore = ["E501", "B008"]
+target-version = "py310"
 
 [tool.pytest-watcher]
 now = true

libs/checkpoint/tests/test_jsonplus.py

@@ -60,22 +60,15 @@ class MyDataclass:
         pass
 
 
-if sys.version_info < (3, 10):
+@dataclasses.dataclass(slots=True)
+class MyDataclassWSlots:
+    foo: str
+    bar: int
+    inner: InnerDataclass
 
-    class MyDataclassWSlots(MyDataclass):
+    def something(self) -> None:
         pass
 
-else:
-
-    @dataclasses.dataclass(slots=True)
-    class MyDataclassWSlots:
-        foo: str
-        bar: int
-        inner: InnerDataclass
-
-        def something(self) -> None:
-            pass
-
 
 class MyEnum(Enum):
     FOO = "foo"

libs/checkpoint/tests/test_store.py

@@ -845,7 +845,7 @@ async def test_async_batched_vector_search_concurrent(
         ]
     )
 
-    for results, (query, filter_) in zip(all_results, search_queries):
+    for results, (query, filter_) in zip(all_results, search_queries, strict=False):
         assert len(results) > 0, f"No results for query '{query}' with filter {filter_}"
 
         for result in results:

libs/checkpoint/uv.lock

@@ -1,11 +1,10 @@
 version = 1
-revision = 3
-requires-python = ">=3.9"
+revision = 2
+requires-python = ">=3.10"
 resolution-markers = [
     "python_full_version >= '3.12'",
     "python_full_version == '3.11.*'",
-    "python_full_version == '3.10.*'",
-    "python_full_version < '3.10'",
+    "python_full_version < '3.11'",
 ]
 
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@@ -285,12 +273,10 @@ dev = [
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     { name = "dataclasses-json" },
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-    { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.10.*'" },
+    { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
     { name = "numpy", version = "2.3.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
     { name = "pandas" },
-    { name = "pandas-stubs", version = "2.2.2.240807", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
-    { name = "pandas-stubs", version = "2.3.2.250926", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
+    { name = "pandas-stubs" },
     { name = "pytest" },
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },
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libs/cli/examples/graphs/storm.py

@@ -1,6 +1,6 @@
 import asyncio
 import json
-from typing import Annotated, Optional
+from typing import Annotated
 
 from langchain_community.retrievers import WikipediaRetriever
 from langchain_community.tools.tavily_search import TavilySearchResults
@@ -51,7 +51,7 @@ class Subsection(BaseModel):
 class Section(BaseModel):
     section_title: str = Field(..., title="Title of the section")
     description: str = Field(..., title="Content of the section")
-    subsections: Optional[list[Subsection]] = Field(
+    subsections: list[Subsection] | None = Field(
         default=None,
         title="Titles and descriptions for each subsection of the Wikipedia page.",
     )
@@ -201,8 +201,8 @@ def update_editor(editor, new_editor):
 
 class InterviewState(TypedDict):
     messages: Annotated[list[AnyMessage], add_messages]
-    references: Annotated[Optional[dict], update_references]
-    editor: Annotated[Optional[Editor], update_editor]
+    references: Annotated[dict | None, update_references]
+    editor: Annotated[Editor | None, update_editor]
 
 
 gen_qn_prompt = ChatPromptTemplate.from_messages(
@@ -321,7 +321,7 @@ async def search_engine(query: str):
 
 async def gen_answer(
     state: InterviewState,
-    config: Optional[RunnableConfig] = None,
+    config: RunnableConfig | None = None,
     name: str = "Subject_Matter_Expert",
     max_str_len: int = 15000,
 ):
@@ -437,7 +437,7 @@ class SubSection(BaseModel):
 class WikiSection(BaseModel):
     section_title: str = Field(..., title="Title of the section")
     content: str = Field(..., title="Full content of the section")
-    subsections: Optional[list[Subsection]] = Field(
+    subsections: list[Subsection] | None = Field(
         default=None,
         title="Titles and descriptions for each subsection of the Wikipedia page.",
     )

libs/cli/examples/pyproject.toml

@@ -7,7 +7,7 @@ name = "langgraph-examples"
 version = "0.1.0"
 description = ""
 readme = "README.md"
-requires-python = ">=3.9"
+requires-python = ">=3.10"
 dependencies = [
     "langgraph-cli",
     "langgraph-sdk",

libs/cli/langgraph_cli/cli.py

@@ -4,8 +4,7 @@ import os
 import pathlib
 import shutil
 import sys
-from collections.abc import Sequence
-from typing import Callable, Optional
+from collections.abc import Callable, Sequence
 
 import click
 import click.exceptions
@@ -200,19 +199,19 @@ def cli():
 @log_command
 def up(
     config: pathlib.Path,
-    docker_compose: Optional[pathlib.Path],
+    docker_compose: pathlib.Path | None,
     port: int,
     recreate: bool,
     pull: bool,
     watch: bool,
     wait: bool,
     verbose: bool,
-    debugger_port: Optional[int],
-    debugger_base_url: Optional[str],
-    postgres_uri: Optional[str],
-    api_version: Optional[str],
-    image: Optional[str],
-    base_image: Optional[str],
+    debugger_port: int | None,
+    debugger_base_url: str | None,
+    postgres_uri: str | None,
+    api_version: str | None,
+    image: str | None,
+    base_image: str | None,
 ):
     click.secho("Starting LangGraph API server...", fg="green")
     click.secho(
@@ -298,13 +297,13 @@ def _build(
     set: Callable[[str], None],
     config: pathlib.Path,
     config_json: dict,
-    base_image: Optional[str],
-    api_version: Optional[str],
+    base_image: str | None,
+    api_version: str | None,
     pull: bool,
     tag: str,
     passthrough: Sequence[str] = (),
-    install_command: Optional[str] = None,
-    build_command: Optional[str] = None,
+    install_command: str | None = None,
+    build_command: str | None = None,
 ):
     # pull latest images
     if pull:
@@ -403,12 +402,12 @@ def _build(
 def build(
     config: pathlib.Path,
     docker_build_args: Sequence[str],
-    base_image: Optional[str],
-    api_version: Optional[str],
+    base_image: str | None,
+    api_version: str | None,
     pull: bool,
     tag: str,
-    install_command: Optional[str],
-    build_command: Optional[str],
+    install_command: str | None,
+    build_command: str | None,
 ):
     with Runner() as runner, Progress(message="Pulling...") as set:
         if shutil.which("docker") is None:
@@ -512,8 +511,8 @@ def dockerfile(
     save_path: str,
     config: pathlib.Path,
     add_docker_compose: bool,
-    base_image: Optional[str] = None,
-    api_version: Optional[str] = None,
+    base_image: str | None = None,
+    api_version: str | None = None,
 ) -> None:
     save_path = pathlib.Path(save_path).absolute()
     secho(f"🔍 Validating configuration at path: {config}", fg="yellow")
@@ -688,11 +687,11 @@ def dev(
     port: int,
     no_reload: bool,
     config: str,
-    n_jobs_per_worker: Optional[int],
+    n_jobs_per_worker: int | None,
     no_browser: bool,
-    debug_port: Optional[int],
+    debug_port: int | None,
     wait_for_client: bool,
-    studio_url: Optional[str],
+    studio_url: str | None,
     allow_blocking: bool,
     tunnel: bool,
     server_log_level: str,
@@ -776,7 +775,7 @@ def dev(
 )
 @cli.command("new", help="🌱 Create a new LangGraph project from a template.")
 @log_command
-def new(path: Optional[str], template: Optional[str]) -> None:
+def new(path: str | None, template: str | None) -> None:
     """Create a new LangGraph project from a template."""
     return create_new(path, template)
 
@@ -786,17 +785,17 @@ def prepare_args_and_stdin(
     capabilities: DockerCapabilities,
     config_path: pathlib.Path,
     config: Config,
-    docker_compose: Optional[pathlib.Path],
+    docker_compose: pathlib.Path | None,
     port: int,
     watch: bool,
-    debugger_port: Optional[int] = None,
-    debugger_base_url: Optional[str] = None,
-    postgres_uri: Optional[str] = None,
-    api_version: Optional[str] = None,
+    debugger_port: int | None = None,
+    debugger_base_url: str | None = None,
+    postgres_uri: str | None = None,
+    api_version: str | None = None,
     # Like "my-tag" (if you already built it locally)
-    image: Optional[str] = None,
+    image: str | None = None,
     # Like "langchain/langgraphjs-api" or "langchain/langgraph-api
-    base_image: Optional[str] = None,
+    base_image: str | None = None,
 ) -> tuple[list[str], str]:
     assert config_path.exists(), f"Config file not found: {config_path}"
     # prepare args
@@ -835,17 +834,17 @@ def prepare(
     *,
     capabilities: DockerCapabilities,
     config_path: pathlib.Path,
-    docker_compose: Optional[pathlib.Path],
+    docker_compose: pathlib.Path | None,
     port: int,
     pull: bool,
     watch: bool,
     verbose: bool,
-    debugger_port: Optional[int] = None,
-    debugger_base_url: Optional[str] = None,
-    postgres_uri: Optional[str] = None,
-    api_version: Optional[str] = None,
-    image: Optional[str] = None,
-    base_image: Optional[str] = None,
+    debugger_port: int | None = None,
+    debugger_base_url: str | None = None,
+    postgres_uri: str | None = None,
+    api_version: str | None = None,
+    image: str | None = None,
+    base_image: str | None = None,
 ) -> tuple[list[str], str]:
     """Prepare the arguments and stdin for running the LangGraph API server."""
     config_json = langgraph_cli.config.validate_config_file(config_path)

libs/cli/langgraph_cli/config.py

@@ -4,7 +4,7 @@ import pathlib
 import re
 import textwrap
 from collections import Counter
-from typing import Any, Literal, NamedTuple, Optional, TypedDict, Union
+from typing import Any, Literal, NamedTuple, TypedDict
 
 import click
 
@@ -31,13 +31,13 @@ class TTLConfig(TypedDict, total=False):
     This can be overridden per-operation by explicitly setting `refresh_ttl`.
     Defaults to `True` if not configured.
     """
-    default_ttl: Optional[float]
+    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: Optional[int]
+    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.
@@ -83,7 +83,7 @@ class IndexConfig(TypedDict, total=False):
     Note: Must return embeddings of dimension `dims`.
     """
 
-    fields: Optional[list[str]]
+    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.
@@ -102,7 +102,7 @@ class StoreConfig(TypedDict, total=False):
     the store will just handle traditional (non-embedded) data without vector lookups.
     """
 
-    index: Optional[IndexConfig]
+    index: IndexConfig | None
     """Optional. Defines the vector-based semantic search configuration.
     
     If provided, the store will:
@@ -113,7 +113,7 @@ class StoreConfig(TypedDict, total=False):
     If omitted, no vector index is initialized.
     """
 
-    ttl: Optional[TTLConfig]
+    ttl: TTLConfig | None
     """Optional. Defines the TTL (time-to-live) behavior configuration.
     
     If provided, the store will apply TTL settings according to the configuration.
@@ -130,9 +130,9 @@ class ThreadTTLConfig(TypedDict, total=False):
     Choices:
       - "delete": Delete all checkpoints for a thread after TTL expires.
     """
-    default_ttl: Optional[float]
+    default_ttl: float | None
     """Default TTL (time-to-live) in minutes for checkpointed data."""
-    sweep_interval_minutes: Optional[int]
+    sweep_interval_minutes: int | None
     """Interval in minutes between sweep iterations.
     If omitted, a default interval will be used (typically ~ 5 minutes)."""
 
@@ -143,7 +143,7 @@ class CheckpointerConfig(TypedDict, total=False):
     If omitted, no checkpointer is set up (the object store will still be present, however).
     """
 
-    ttl: Optional[ThreadTTLConfig]
+    ttl: ThreadTTLConfig | None
     """Optional. Defines the TTL (time-to-live) behavior configuration.
     
     If provided, the checkpointer will apply TTL settings according to the configuration.
@@ -290,14 +290,14 @@ class ConfigurableHeaderConfig(TypedDict):
     Each value can be a raw string with an optional wildcard.
     """
 
-    includes: Optional[list[str]]
+    includes: list[str] | None
     """Headers to include (if not also matches against an 'exludes' pattern.
 
     Examples:
         - 'user-agent'
         - 'x-configurable-*'
     """
-    excludes: Optional[list[str]]
+    excludes: list[str] | None
     """Headers to exclude. Applied before the 'includes' checks.
 
     Examples:
@@ -349,18 +349,18 @@ class HttpConfig(TypedDict, total=False):
     
     Default is False.
     """
-    cors: Optional[CorsConfig]
+    cors: CorsConfig | None
     """Optional. Defines CORS restrictions. If omitted, no special rules are set and 
     cross-origin behavior depends on default server settings.
     """
-    configurable_headers: Optional[ConfigurableHeaderConfig]
+    configurable_headers: ConfigurableHeaderConfig | None
     """Optional. Defines how headers are treated for a run's configuration.
 
     You can include or exclude headers as configurable values to condition your
     agent's behavior or permissions on a request's headers."""
-    logging_headers: Optional[ConfigurableHeaderConfig]
+    logging_headers: ConfigurableHeaderConfig | None
     """Optional. Defines which headers are excluded from logging."""
-    middleware_order: Optional[MiddlewareOrders]
+    middleware_order: MiddlewareOrders | None
     """Optional. Defines the order in which to apply server customizations.
 
     Choices:
@@ -389,42 +389,42 @@ class Config(TypedDict, total=False):
     Must be at least 3.11 or greater for this deployment to function properly.
     """
 
-    node_version: Optional[str]
+    node_version: str | None
     """Optional. Node.js version as a major version (e.g. '20'), if your deployment needs Node.
     Must be >= 20 if provided.
     """
 
-    api_version: Optional[str]
+    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."""
 
-    _INTERNAL_docker_tag: Optional[str]
+    _INTERNAL_docker_tag: str | None
     """Optional. Internal use only.
     """
 
-    base_image: Optional[str]
+    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: Optional[Distros]
+    image_distro: Distros | None
     """Optional. Linux distribution for the base image.
     
     Must be one of 'wolfi', 'debian', 'bullseye', or 'bookworm'.
     If omitted, defaults to 'debian' ('latest').
     """
 
-    pip_config_file: Optional[str]
+    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: Optional[str]
+    pip_installer: str | None
     """Optional. Python package installer to use ('auto', 'pip', 'uv').
     
     - 'auto' (default): Use uv for supported base images, otherwise pip
@@ -469,7 +469,7 @@ class Config(TypedDict, total=False):
         }
     """
 
-    env: Union[dict[str, str], str]
+    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.
@@ -481,33 +481,33 @@ class Config(TypedDict, total=False):
         env=".env"
     """
 
-    store: Optional[StoreConfig]
+    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: Optional[CheckpointerConfig]
+    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).
     """
 
-    auth: Optional[AuthConfig]
+    auth: AuthConfig | None
     """Optional. Custom authentication config, including the path to your Python auth logic and 
     the OpenAPI security definitions it uses.
     """
 
-    http: Optional[HttpConfig]
+    http: HttpConfig | None
     """Optional. Configuration for the built-in HTTP server, controlling which custom routes are exposed
     and how cross-origin requests are handled.
     """
 
-    ui: Optional[dict[str, str]]
+    ui: dict[str, str] | None
     """Optional. Named definitions of UI components emitted by the agent, each pointing to a JS/TS file.
     """
 
-    keep_pkg_tools: Optional[Union[bool, list[str]]]
+    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".
@@ -520,7 +520,7 @@ _BUILD_TOOLS = ("pip", "setuptools", "wheel")
 
 def _get_pip_cleanup_lines(
     install_cmd: str,
-    to_uninstall: Optional[tuple[str]],
+    to_uninstall: tuple[str] | None,
     pip_installer: Literal["uv", "pip"],
 ) -> str:
     commands = [
@@ -586,7 +586,7 @@ def _parse_node_version(version_str: str) -> int:
         ) from None
 
 
-def _is_node_graph(spec: Union[str, dict]) -> bool:
+def _is_node_graph(spec: str | dict) -> bool:
     """Check if a graph is a Node.js graph based on the file extension."""
     if isinstance(spec, dict):
         spec = spec.get("path")
@@ -846,7 +846,7 @@ class LocalDeps(NamedTuple):
     real_pkgs: dict[pathlib.Path, tuple[str, str]]
     faux_pkgs: dict[pathlib.Path, tuple[str, str]]
     # if . is in dependencies, use it as working_dir
-    working_dir: Optional[str] = None
+    working_dir: str | None = None
     # if there are local dependencies in parent directories, use additional_contexts
     additional_contexts: list[pathlib.Path] = None
 
@@ -882,7 +882,7 @@ def _assemble_local_deps(config_path: pathlib.Path, config: Config) -> LocalDeps
     pip_reqs = []
     real_pkgs = {}
     faux_pkgs = {}
-    working_dir: Optional[str] = None
+    working_dir: str | None = None
     additional_contexts: list[pathlib.Path] = []
 
     for local_dep in config["dependencies"]:
@@ -1265,7 +1265,7 @@ def python_config_to_docker(
     config_path: pathlib.Path,
     config: Config,
     base_image: str,
-    api_version: Optional[str] = None,
+    api_version: str | None = None,
 ) -> tuple[str, dict[str, str]]:
     """Generate a Dockerfile from the configuration."""
     pip_installer = config.get("pip_installer", "auto")
@@ -1469,10 +1469,10 @@ def node_config_to_docker(
     config_path: pathlib.Path,
     config: Config,
     base_image: str,
-    api_version: Optional[str] = None,
-    install_command: Optional[str] = None,
-    build_command: Optional[str] = None,
-    build_context: Optional[str] = None,
+    api_version: str | None = None,
+    install_command: str | None = None,
+    build_command: str | None = None,
+    build_context: str | None = None,
 ) -> tuple[str, dict[str, str]]:
     # Calculate paths for monorepo support
     if build_context:
@@ -1562,8 +1562,8 @@ def default_base_image(config: Config) -> str:
 
 def docker_tag(
     config: Config,
-    base_image: Optional[str] = None,
-    api_version: Optional[str] = None,
+    base_image: str | None = None,
+    api_version: str | None = None,
 ) -> str:
     api_version = api_version or config.get("api_version")
     base_image = base_image or default_base_image(config)
@@ -1612,11 +1612,11 @@ def _calculate_relative_workdir(config_path: pathlib.Path, build_context: str) -
 def config_to_docker(
     config_path: pathlib.Path,
     config: Config,
-    base_image: Optional[str] = None,
-    api_version: Optional[str] = None,
-    install_command: Optional[str] = None,
-    build_command: Optional[str] = None,
-    build_context: Optional[str] = None,
+    base_image: str | None = None,
+    api_version: str | None = None,
+    install_command: str | None = None,
+    build_command: str | None = None,
+    build_context: str | None = None,
 ) -> tuple[str, dict[str, str]]:
     base_image = base_image or default_base_image(config)
 
@@ -1637,9 +1637,9 @@ def config_to_docker(
 def config_to_compose(
     config_path: pathlib.Path,
     config: Config,
-    base_image: Optional[str] = None,
-    api_version: Optional[str] = None,
-    image: Optional[str] = None,
+    base_image: str | None = None,
+    api_version: str | None = None,
+    image: str | None = None,
     watch: bool = False,
 ) -> str:
     base_image = base_image or default_base_image(config)

libs/cli/langgraph_cli/docker.py

@@ -1,7 +1,7 @@
 import json
 import pathlib
 import shutil
-from typing import Literal, NamedTuple, Optional
+from typing import Literal, NamedTuple
 
 import click.exceptions
 
@@ -90,9 +90,7 @@ def check_capabilities(runner) -> DockerCapabilities:
     )
 
 
-def debugger_compose(
-    *, port: Optional[int] = None, base_url: Optional[str] = None
-) -> dict:
+def debugger_compose(*, port: int | None = None, base_url: str | None = None) -> dict:
     if port is None:
         return ""
 
@@ -141,16 +139,16 @@ def compose_as_dict(
     capabilities: DockerCapabilities,
     *,
     port: int,
-    debugger_port: Optional[int] = None,
-    debugger_base_url: Optional[str] = None,
+    debugger_port: int | None = None,
+    debugger_base_url: str | None = None,
     # postgres://user:password@host:port/database?option=value
-    postgres_uri: Optional[str] = None,
+    postgres_uri: str | None = None,
     # If you are running against an already-built image, you can pass it here
-    image: Optional[str] = None,
+    image: str | None = None,
     # Base image to use for the LangGraph API server
-    base_image: Optional[str] = None,
+    base_image: str | None = None,
     # API version of the base image
-    api_version: Optional[str] = None,
+    api_version: str | None = None,
 ) -> dict:
     """Create a docker compose file as a dictionary in YML style."""
     if postgres_uri is None:
@@ -250,13 +248,13 @@ def compose(
     capabilities: DockerCapabilities,
     *,
     port: int,
-    debugger_port: Optional[int] = None,
-    debugger_base_url: Optional[str] = None,
+    debugger_port: int | None = None,
+    debugger_base_url: str | None = None,
     # postgres://user:password@host:port/database?option=value
-    postgres_uri: Optional[str] = None,
-    image: Optional[str] = None,
-    base_image: Optional[str] = None,
-    api_version: Optional[str] = None,
+    postgres_uri: str | None = None,
+    image: str | None = None,
+    base_image: str | None = None,
+    api_version: str | None = None,
 ) -> str:
     """Create a docker compose file as a string."""
     compose_content = compose_as_dict(

libs/cli/langgraph_cli/exec.py

@@ -1,8 +1,9 @@
 import asyncio
 import signal
 import sys
+from collections.abc import Callable
 from contextlib import contextmanager
-from typing import Callable, Optional, cast
+from typing import cast
 
 import click.exceptions
 
@@ -30,12 +31,12 @@ def Runner():
 async def subp_exec(
     cmd: str,
     *args: str,
-    input: Optional[str] = None,
-    wait: Optional[float] = None,
+    input: str | None = None,
+    wait: float | None = None,
     verbose: bool = False,
     collect: bool = False,
-    on_stdout: Optional[Callable[[str], Optional[bool]]] = None,
-) -> tuple[Optional[str], Optional[str]]:
+    on_stdout: Callable[[str], bool | None] | None = None,
+) -> tuple[str | None, str | None]:
     if verbose:
         cmd_str = f"+ {cmd} {' '.join(map(str, args))}"
         if input:
@@ -126,8 +127,8 @@ async def monitor_stream(
     stream: asyncio.StreamReader,
     collect: bool = False,
     display: bool = False,
-    on_line: Optional[Callable[[str], Optional[bool]]] = None,
-) -> Optional[bytearray]:
+    on_line: Callable[[str], bool | None] | None = None,
+) -> bytearray | None:
     if collect:
         ba = bytearray()
 

libs/cli/langgraph_cli/progress.py

@@ -1,7 +1,7 @@
 import sys
 import threading
 import time
-from typing import Callable
+from collections.abc import Callable
 
 
 class Progress:

libs/cli/langgraph_cli/templates.py

@@ -2,7 +2,6 @@ import os
 import shutil
 import sys
 from io import BytesIO
-from typing import Optional
 from urllib import error, request
 from zipfile import ZipFile
 
@@ -65,7 +64,7 @@ def _choose_template() -> str:
         click.secho(f" - {template_info['description']}", fg="white")
 
     # Get the template choice from the user, defaulting to the first template if blank
-    template_choice: Optional[int] = click.prompt(
+    template_choice: int | None = click.prompt(
         "Enter the number of your template choice (default is 1)",
         type=int,
         default=1,
@@ -131,7 +130,7 @@ def _download_repo_with_requests(repo_url: str, path: str) -> None:
         sys.exit(1)
 
 
-def _get_template_url(template_name: str) -> Optional[str]:
+def _get_template_url(template_name: str) -> str | None:
     """
     Retrieves the template URL based on the provided template name.
 
@@ -162,7 +161,7 @@ def _get_template_url(template_name: str) -> Optional[str]:
         return None
 
 
-def create_new(path: Optional[str], template: Optional[str]) -> None:
+def create_new(path: str | None, template: str | None) -> None:
     """Create a new LangGraph project at the specified PATH using the chosen TEMPLATE.
 
     Args:

libs/cli/pyproject.toml

@@ -7,7 +7,7 @@ name = "langgraph-cli"
 dynamic = ["version"]
 description = "CLI for interacting with LangGraph API"
 authors = []
-requires-python = ">=3.9"
+requires-python = ">=3.10"
 readme = "README.md"
 license = "MIT"
 license-files = ['LICENSE']
@@ -59,5 +59,7 @@ lint.select = [
   "UP", # pyupgrade
   "B",  # flake8-bugbear
   "I",  # isort
+  "UP", # pyupgrade
 ]
 lint.ignore = ["E501", "B008"]
+target-version = "py310"

libs/cli/uv.lock

@@ -1,10 +1,9 @@
 version = 1
-revision = 3
-requires-python = ">=3.9"
+revision = 2
+requires-python = ">=3.10"
 resolution-markers = [
     "python_full_version >= '3.11'",
-    "python_full_version == '3.10.*'",
-    "python_full_version < '3.10'",
+    "python_full_version < '3.11'",
 ]
 
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libs/langgraph/Makefile

@@ -76,7 +76,7 @@ test:
 test_parallel:
 	make start-services &&\
 	make start-dev-server &&\
-	uv run pytest -n auto --dist worksteal $(TEST) --lf --snapshot-update; \
+	uv run pytest -n auto --dist worksteal $(TEST) -vv --lf; \
 	EXIT_CODE=$$?; \
 	make stop-services; \
 	make stop-dev-server; \

libs/langgraph/bench/pydantic_state.py

@@ -2,7 +2,7 @@ import operator
 from collections.abc import Sequence
 from functools import partial
 from random import choice
-from typing import Annotated, Optional
+from typing import Annotated
 
 from pydantic import BaseModel, Field, field_validator
 
@@ -55,7 +55,7 @@ def pydantic_state(n: int) -> StateGraph:
                 raise TypeError("primary_issue_medium must be a string")
             return v
 
-        autoresponse: Annotated[Optional[dict], lambda _, y: y] = Field(
+        autoresponse: Annotated[dict | None, lambda _, y: y] = Field(
             default=None
         )  # Always overwrite
 
@@ -75,7 +75,7 @@ def pydantic_state(n: int) -> StateGraph:
                 raise TypeError("issue must be a dict or None")
             return v
 
-        relevant_rules: Optional[list[dict]] = Field(default=None)
+        relevant_rules: list[dict] | None = Field(default=None)
         """SOPs fetched from the rulebook that are relevant to the current conversation."""
 
         @field_validator("relevant_rules", mode="after")
@@ -94,7 +94,7 @@ def pydantic_state(n: int) -> StateGraph:
                     )
             return v
 
-        memory_docs: Optional[list[dict]] = Field(default=None)
+        memory_docs: list[dict] | None = Field(default=None)
         """Memory docs fetched from the memory service that are relevant to the current conversation."""
 
         @field_validator("memory_docs", mode="after")
@@ -145,7 +145,7 @@ def pydantic_state(n: int) -> StateGraph:
                     raise TypeError("responses must be a list of dicts with str keys")
             return v
 
-        user_info: Annotated[Optional[dict], lambda x, y: y if y is not None else x] = (
+        user_info: Annotated[dict | None, lambda x, y: y if y is not None else x] = (
             Field(default=None)
         )
         """The current user state (by email)."""
@@ -157,7 +157,7 @@ def pydantic_state(n: int) -> StateGraph:
                 raise TypeError("user_info must be a dict or None")
             return v
 
-        crm_info: Annotated[Optional[dict], lambda x, y: y if y is not None else x] = (
+        crm_info: Annotated[dict | None, lambda x, y: y if y is not None else x] = (
             Field(default=None)
         )
         """The CRM information for organization the current user is from."""
@@ -170,7 +170,7 @@ def pydantic_state(n: int) -> StateGraph:
             return v
 
         email_thread_id: Annotated[
-            Optional[str], lambda x, y: y if y is not None else x
+            str | None, lambda x, y: y if y is not None else x
         ] = Field(default=None)
         """The current email thread ID."""
 
@@ -194,7 +194,7 @@ def pydantic_state(n: int) -> StateGraph:
                     raise TypeError("slack_participants must be a dict with str keys")
             return v
 
-        bot_id: Optional[str] = Field(default=None)
+        bot_id: str | None = Field(default=None)
         """The ID of the bot user in the slack channel."""
 
         @field_validator("bot_id", mode="after")

libs/langgraph/bench/react_agent.py

@@ -1,4 +1,4 @@
-from typing import Any, Optional
+from typing import Any
 from uuid import uuid4
 
 from langchain_core.callbacks import CallbackManagerForLLMRun
@@ -14,7 +14,7 @@ from langgraph.prebuilt.chat_agent_executor import create_react_agent
 from langgraph.pregel import Pregel
 
 
-def react_agent(n_tools: int, checkpointer: Optional[BaseCheckpointSaver]) -> Pregel:
+def react_agent(n_tools: int, checkpointer: BaseCheckpointSaver | None) -> Pregel:
     class FakeFunctionChatModel(FakeMessagesListChatModel):
         def bind_tools(self, functions: list):
             return self
@@ -22,8 +22,8 @@ def react_agent(n_tools: int, checkpointer: Optional[BaseCheckpointSaver]) -> Pr
         def _generate(
             self,
             messages: list[BaseMessage],
-            stop: Optional[list[str]] = None,
-            run_manager: Optional[CallbackManagerForLLMRun] = None,
+            stop: list[str] | None = None,
+            run_manager: CallbackManagerForLLMRun | None = None,
             **kwargs: Any,
         ) -> ChatResult:
             response = self.responses[self.i].copy()

libs/langgraph/bench/wide_dict.py

@@ -2,7 +2,7 @@ import operator
 from collections.abc import Sequence
 from functools import partial
 from random import choice
-from typing import Annotated, Optional
+from typing import Annotated
 
 from typing_extensions import TypedDict
 
@@ -16,28 +16,26 @@ def wide_dict(n: int) -> StateGraph:
         trigger_events: Annotated[list, operator.add]
         """The external events that are converted by the graph."""
         primary_issue_medium: Annotated[str, lambda x, y: y or x]
-        autoresponse: Annotated[Optional[dict], lambda _, y: y]  # Always overwrite
+        autoresponse: Annotated[dict | None, lambda _, y: y]  # Always overwrite
         issue: Annotated[dict | None, lambda x, y: y if y else x]
-        relevant_rules: Optional[list[dict]]
+        relevant_rules: list[dict] | None
         """SOPs fetched from the rulebook that are relevant to the current conversation."""
-        memory_docs: Optional[list[dict]]
+        memory_docs: list[dict] | None
         """Memory docs fetched from the memory service that are relevant to the current conversation."""
         categorizations: Annotated[list[dict], operator.add]
         """The issue categorizations auto-generated by the AI."""
         responses: Annotated[list[dict], operator.add]
         """The draft responses recommended by the AI."""
 
-        user_info: Annotated[Optional[dict], lambda x, y: y if y is not None else x]
+        user_info: Annotated[dict | None, lambda x, y: y if y is not None else x]
         """The current user state (by email)."""
-        crm_info: Annotated[Optional[dict], lambda x, y: y if y is not None else x]
+        crm_info: Annotated[dict | None, lambda x, y: y if y is not None else x]
         """The CRM information for organization the current user is from."""
-        email_thread_id: Annotated[
-            Optional[str], lambda x, y: y if y is not None else x
-        ]
+        email_thread_id: Annotated[str | None, lambda x, y: y if y is not None else x]
         """The current email thread ID."""
         slack_participants: Annotated[dict, operator.or_]
         """The growing list of current slack participants."""
-        bot_id: Optional[str]
+        bot_id: str | None
         """The ID of the bot user in the slack channel."""
         notified_assignees: Annotated[dict, operator.or_]
 

libs/langgraph/bench/wide_state.py

@@ -3,7 +3,7 @@ from collections.abc import Sequence
 from dataclasses import dataclass, field
 from functools import partial
 from random import choice
-from typing import Annotated, Optional
+from typing import Annotated
 
 from langgraph.constants import END, START
 from langgraph.graph.state import StateGraph
@@ -18,13 +18,13 @@ def wide_state(n: int) -> StateGraph:
         primary_issue_medium: Annotated[str, lambda x, y: y or x] = field(
             default="email"
         )
-        autoresponse: Annotated[Optional[dict], lambda _, y: y] = field(
+        autoresponse: Annotated[dict | None, lambda _, y: y] = field(
             default=None
         )  # Always overwrite
         issue: Annotated[dict | None, lambda x, y: y if y else x] = field(default=None)
-        relevant_rules: Optional[list[dict]] = field(default=None)
+        relevant_rules: list[dict] | None = field(default=None)
         """SOPs fetched from the rulebook that are relevant to the current conversation."""
-        memory_docs: Optional[list[dict]] = field(default=None)
+        memory_docs: list[dict] | None = field(default=None)
         """Memory docs fetched from the memory service that are relevant to the current conversation."""
         categorizations: Annotated[list[dict], operator.add] = field(
             default_factory=list
@@ -33,21 +33,21 @@ def wide_state(n: int) -> StateGraph:
         responses: Annotated[list[dict], operator.add] = field(default_factory=list)
         """The draft responses recommended by the AI."""
 
-        user_info: Annotated[Optional[dict], lambda x, y: y if y is not None else x] = (
+        user_info: Annotated[dict | None, lambda x, y: y if y is not None else x] = (
             field(default=None)
         )
         """The current user state (by email)."""
-        crm_info: Annotated[Optional[dict], lambda x, y: y if y is not None else x] = (
+        crm_info: Annotated[dict | None, lambda x, y: y if y is not None else x] = (
             field(default=None)
         )
         """The CRM information for organization the current user is from."""
         email_thread_id: Annotated[
-            Optional[str], lambda x, y: y if y is not None else x
+            str | None, lambda x, y: y if y is not None else x
         ] = field(default=None)
         """The current email thread ID."""
         slack_participants: Annotated[dict, operator.or_] = field(default_factory=dict)
         """The growing list of current slack participants."""
-        bot_id: Optional[str] = field(default=None)
+        bot_id: str | None = field(default=None)
         """The ID of the bot user in the slack channel."""
         notified_assignees: Annotated[dict, operator.or_] = field(default_factory=dict)
 

libs/langgraph/langgraph/_internal/_fields.py

@@ -4,10 +4,10 @@ import dataclasses
 import types
 import weakref
 from collections.abc import Generator, Sequence
-from typing import Annotated, Any, Optional, Union, get_type_hints
+from typing import Annotated, Any, Optional, Union, get_origin, get_type_hints
 
 from pydantic import BaseModel
-from typing_extensions import NotRequired, ReadOnly, Required, get_origin
+from typing_extensions import NotRequired, ReadOnly, Required
 
 from langgraph._internal._typing import MISSING
 
@@ -15,6 +15,12 @@ from langgraph._internal._typing import MISSING
 def _is_optional_type(type_: Any) -> bool:
     """Check if a type is Optional."""
 
+    # Handle new union syntax (PEP 604): str | None
+    if isinstance(type_, types.UnionType):
+        return any(
+            arg is type(None) or _is_optional_type(arg) for arg in type_.__args__
+        )
+
     if hasattr(type_, "__origin__") and hasattr(type_, "__args__"):
         origin = get_origin(type_)
         if origin is Optional:

libs/langgraph/langgraph/_internal/_future.py

@@ -7,10 +7,10 @@ import inspect
 import sys
 import types
 from collections.abc import Awaitable, Coroutine, Generator
-from typing import TypeVar, Union, cast
+from typing import TypeVar, cast
 
 T = TypeVar("T")
-AnyFuture = Union[asyncio.Future, concurrent.futures.Future]
+AnyFuture = asyncio.Future | concurrent.futures.Future
 
 CONTEXT_NOT_SUPPORTED = sys.version_info < (3, 11)
 EAGER_NOT_SUPPORTED = sys.version_info < (3, 12)

libs/langgraph/langgraph/_internal/_queue.py

@@ -3,14 +3,11 @@ from __future__ import annotations
 
 import asyncio
 import queue
-import sys
 import threading
 import types
 from collections import deque
 from time import monotonic
 
-PY_310 = sys.version_info >= (3, 10)
-
 
 class AsyncQueue(asyncio.Queue):
     """Async unbounded FIFO queue with a wait() method.
@@ -24,10 +21,7 @@ class AsyncQueue(asyncio.Queue):
         ie. this doesn't consume the item, just waits for it.
         """
         while self.empty():
-            if PY_310:
-                getter = self._get_loop().create_future()
-            else:
-                getter = self._loop.create_future()
+            getter = self._get_loop().create_future()
             self._getters.append(getter)
             try:
                 await getter

libs/langgraph/langgraph/_internal/_runnable.py

@@ -8,6 +8,7 @@ import warnings
 from collections.abc import (
     AsyncIterator,
     Awaitable,
+    Callable,
     Coroutine,
     Generator,
     Iterator,
@@ -18,10 +19,9 @@ from contextvars import Context, Token, copy_context
 from functools import partial, wraps
 from typing import (
     Any,
-    Callable,
     Optional,
     Protocol,
-    Union,
+    TypeGuard,
     cast,
 )
 
@@ -42,7 +42,6 @@ from langchain_core.runnables.config import (
 from langchain_core.runnables.utils import Input, Output
 from langchain_core.tracers.langchain import LangChainTracer
 from langgraph.store.base import BaseStore
-from typing_extensions import TypeGuard
 
 from langgraph._internal._config import (
     ensure_config,
@@ -136,7 +135,7 @@ KWARGS_CONFIG_KEYS: tuple[tuple[str, tuple[Any, ...], str, Any], ...] = (
         (
             RunnableConfig,
             "RunnableConfig",
-            Optional[RunnableConfig],
+            Optional[RunnableConfig],  # noqa: UP045
             "Optional[RunnableConfig]",
             inspect.Parameter.empty,
         ),
@@ -163,7 +162,7 @@ KWARGS_CONFIG_KEYS: tuple[tuple[str, tuple[Any, ...], str, Any], ...] = (
     (
         "store",
         (
-            Optional[BaseStore],
+            Optional[BaseStore],  # noqa: UP045
             "Optional[BaseStore]",
         ),
         "store",
@@ -241,15 +240,15 @@ class _RunnableWithConfigWriterStore(Protocol[Input, Output]):
     ) -> Output: ...
 
 
-RunnableLike = Union[
-    LCRunnableLike,
-    _RunnableWithWriter[Input, Output],
-    _RunnableWithStore[Input, Output],
-    _RunnableWithWriterStore[Input, Output],
-    _RunnableWithConfigWriter[Input, Output],
-    _RunnableWithConfigStore[Input, Output],
-    _RunnableWithConfigWriterStore[Input, Output],
-]
+RunnableLike = (
+    LCRunnableLike
+    | _RunnableWithWriter[Input, Output]
+    | _RunnableWithStore[Input, Output]
+    | _RunnableWithWriterStore[Input, Output]
+    | _RunnableWithConfigWriter[Input, Output]
+    | _RunnableWithConfigStore[Input, Output]
+    | _RunnableWithConfigWriterStore[Input, Output]
+)
 
 
 class RunnableCallable(Runnable):

libs/langgraph/langgraph/_internal/_scratchpad.py

@@ -1,5 +1,6 @@
 import dataclasses
-from typing import Any, Callable
+from collections.abc import Callable
+from typing import Any
 
 from langgraph.types import _DC_KWARGS
 

libs/langgraph/langgraph/_internal/_typing.py

@@ -3,10 +3,10 @@
 from __future__ import annotations
 
 from dataclasses import Field
-from typing import Any, ClassVar, Protocol, Union
+from typing import Any, ClassVar, Protocol, TypeAlias
 
 from pydantic import BaseModel
-from typing_extensions import TypeAlias, TypedDict
+from typing_extensions import TypedDict
 
 
 class TypedDictLikeV1(Protocol):
@@ -35,7 +35,7 @@ class DataclassLike(Protocol):
     __dataclass_fields__: ClassVar[dict[str, Field[Any]]]
 
 
-StateLike: TypeAlias = Union[TypedDictLikeV1, TypedDictLikeV2, DataclassLike, BaseModel]
+StateLike: TypeAlias = TypedDictLikeV1 | TypedDictLikeV2 | DataclassLike | BaseModel
 """Type alias for state-like types.
 
 It can either be a `TypedDict`, `dataclass`, or Pydantic `BaseModel`.

libs/langgraph/langgraph/channels/binop.py

@@ -1,6 +1,6 @@
 import collections.abc
-from collections.abc import Sequence
-from typing import Callable, Generic
+from collections.abc import Callable, Sequence
+from typing import Generic
 
 from typing_extensions import NotRequired, Required, Self
 

libs/langgraph/langgraph/channels/topic.py

@@ -1,7 +1,7 @@
 from __future__ import annotations
 
 from collections.abc import Iterator, Sequence
-from typing import Any, Generic, Union
+from typing import Any, Generic
 
 from typing_extensions import Self
 
@@ -22,7 +22,7 @@ def _flatten(values: Sequence[Value | list[Value]]) -> Iterator[Value]:
 
 class Topic(
     Generic[Value],
-    BaseChannel[Sequence[Value], Union[Value, list[Value]], list[Value]],
+    BaseChannel[Sequence[Value], Value | list[Value], list[Value]],
 ):
     """A configurable PubSub Topic.
 
@@ -51,7 +51,7 @@ class Topic(
     @property
     def UpdateType(self) -> Any:
         """The type of the update received by the channel."""
-        return Union[self.typ, list[self.typ]]  # type: ignore[name-defined]
+        return self.typ | list[self.typ]  # type: ignore[name-defined]
 
     def copy(self) -> Self:
         """Return a copy of the channel."""

libs/langgraph/langgraph/func/__init__.py

@@ -3,11 +3,10 @@ from __future__ import annotations
 import functools
 import inspect
 import warnings
-from collections.abc import Awaitable, Sequence
+from collections.abc import Awaitable, Callable, Sequence
 from dataclasses import dataclass
 from typing import (
     Any,
-    Callable,
     Generic,
     TypeVar,
     cast,

libs/langgraph/langgraph/graph/_branch.py

@@ -1,6 +1,6 @@
 from __future__ import annotations
 
-from collections.abc import Awaitable, Hashable, Sequence
+from collections.abc import Awaitable, Callable, Hashable, Sequence
 from inspect import (
     isfunction,
     ismethod,
@@ -10,10 +10,8 @@ from itertools import zip_longest
 from types import FunctionType
 from typing import (
     Any,
-    Callable,
     Literal,
     NamedTuple,
-    Union,
     cast,
     get_args,
     get_origin,
@@ -35,8 +33,8 @@ from langgraph.pregel._write import PASSTHROUGH, ChannelWrite, ChannelWriteEntry
 from langgraph.types import Send
 
 _Writer = Callable[
-    [Sequence[Union[str, Send]], bool],
-    Sequence[Union[ChannelWriteEntry, Send]],
+    [Sequence[str | Send], bool],
+    Sequence[ChannelWriteEntry | Send],
 ]
 
 
@@ -205,7 +203,7 @@ class BranchSpec(NamedTuple):
                 r if isinstance(r, Send) else self.ends[r] for r in result
             ]
         else:
-            destinations = cast(Sequence[Union[Send, str]], result)
+            destinations = cast(Sequence[Send | str], result)
         if any(dest is None or dest == START for dest in destinations):
             raise ValueError("Branch did not return a valid destination")
         if any(p.node == END for p in destinations if isinstance(p, Send)):

libs/langgraph/langgraph/graph/_node.py

@@ -1,21 +1,17 @@
 from __future__ import annotations
 
-import sys
 from collections.abc import Sequence
 from dataclasses import dataclass
-from typing import Any, Generic, Protocol, Union
+from typing import Any, Generic, Protocol, TypeAlias
 
 from langchain_core.runnables import Runnable, RunnableConfig
 from langgraph.store.base import BaseStore
-from typing_extensions import TypeAlias
 
 from langgraph._internal._typing import EMPTY_SEQ
 from langgraph.runtime import Runtime
 from langgraph.types import CachePolicy, RetryPolicy, StreamWriter
 from langgraph.typing import ContextT, NodeInputT, NodeInputT_contra
 
-_DC_SLOTS = {"slots": True} if sys.version_info >= (3, 10) else {}
-
 
 class _Node(Protocol[NodeInputT_contra]):
     def __call__(self, state: NodeInputT_contra) -> Any: ...
@@ -71,21 +67,21 @@ class _NodeWithRuntime(Protocol[NodeInputT_contra, ContextT]):
 # TODO: we probably don't want to explicitly support the config / store signatures once
 # we move to adding a context arg. Maybe what we do is we add support for kwargs with param spec
 # this is purely for typing purposes though, so can easily change in the coming weeks.
-StateNode: TypeAlias = Union[
-    _Node[NodeInputT],
-    _NodeWithConfig[NodeInputT],
-    _NodeWithWriter[NodeInputT],
-    _NodeWithStore[NodeInputT],
-    _NodeWithWriterStore[NodeInputT],
-    _NodeWithConfigWriter[NodeInputT],
-    _NodeWithConfigStore[NodeInputT],
-    _NodeWithConfigWriterStore[NodeInputT],
-    _NodeWithRuntime[NodeInputT, ContextT],
-    Runnable[NodeInputT, Any],
-]
+StateNode: TypeAlias = (
+    _Node[NodeInputT]
+    | _NodeWithConfig[NodeInputT]
+    | _NodeWithWriter[NodeInputT]
+    | _NodeWithStore[NodeInputT]
+    | _NodeWithWriterStore[NodeInputT]
+    | _NodeWithConfigWriter[NodeInputT]
+    | _NodeWithConfigStore[NodeInputT]
+    | _NodeWithConfigWriterStore[NodeInputT]
+    | _NodeWithRuntime[NodeInputT, ContextT]
+    | Runnable[NodeInputT, Any]
+)
 
 
-@dataclass(**_DC_SLOTS)
+@dataclass(slots=True)
 class StateNodeSpec(Generic[NodeInputT, ContextT]):
     runnable: StateNode[NodeInputT, ContextT]
     metadata: dict[str, Any] | None

libs/langgraph/langgraph/graph/message.py

@@ -2,14 +2,12 @@ from __future__ import annotations
 
 import uuid
 import warnings
-from collections.abc import Sequence
+from collections.abc import Callable, Sequence
 from functools import partial
 from typing import (
     Annotated,
     Any,
-    Callable,
     Literal,
-    Union,
     cast,
 )
 
@@ -34,7 +32,7 @@ __all__ = (
     "MessageGraph",
 )
 
-Messages = Union[list[MessageLikeRepresentation], MessageLikeRepresentation]
+Messages = list[MessageLikeRepresentation] | MessageLikeRepresentation
 
 REMOVE_ALL_MESSAGES = "__remove_all__"
 

libs/langgraph/langgraph/graph/state.py

@@ -2,17 +2,16 @@ from __future__ import annotations
 
 import inspect
 import logging
-import sys
 import typing
 import warnings
 from collections import defaultdict
-from collections.abc import Awaitable, Hashable, Sequence
+from collections.abc import Awaitable, Callable, Hashable, Sequence
 from functools import partial
 from inspect import isclass, isfunction, ismethod, signature
 from types import FunctionType
+from types import NoneType as NoneType
 from typing import (
     Any,
-    Callable,
     Generic,
     Literal,
     Union,
@@ -83,11 +82,6 @@ from langgraph.types import (
 from langgraph.typing import ContextT, InputT, NodeInputT, OutputT, StateT
 from langgraph.warnings import LangGraphDeprecatedSinceV05, LangGraphDeprecatedSinceV10
 
-if sys.version_info < (3, 10):
-    NoneType = type(None)
-else:
-    from types import NoneType as NoneType
-
 __all__ = ("StateGraph", "CompiledStateGraph")
 
 logger = logging.getLogger(__name__)
@@ -437,7 +431,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
                 category=LangGraphDeprecatedSinceV05,
             )
             if input_schema is None:
-                input_schema = cast(Union[type[NodeInputT], None], input_)
+                input_schema = cast(type[NodeInputT] | None, input_)
 
         if not isinstance(node, str):
             action = node

libs/langgraph/langgraph/graph/ui.py

@@ -1,6 +1,6 @@
 from __future__ import annotations
 
-from typing import Any, Literal, Union, cast
+from typing import Any, Literal, cast
 from uuid import uuid4
 
 from langchain_core.messages import AnyMessage
@@ -55,7 +55,7 @@ class RemoveUIMessage(TypedDict):
     id: str
 
 
-AnyUIMessage = Union[UIMessage, RemoveUIMessage]
+AnyUIMessage = UIMessage | RemoveUIMessage
 
 
 def push_ui_message(

libs/langgraph/langgraph/managed/base.py

@@ -3,11 +3,10 @@ from inspect import isclass
 from typing import (
     Any,
     Generic,
+    TypeGuard,
     TypeVar,
 )
 
-from typing_extensions import TypeGuard
-
 from langgraph._internal._scratchpad import PregelScratchpad
 
 V = TypeVar("V")

libs/langgraph/langgraph/pregel/_algo.py

@@ -5,16 +5,14 @@ import itertools
 import sys
 import threading
 from collections import defaultdict, deque
-from collections.abc import Iterable, Mapping, Sequence
+from collections.abc import Callable, Iterable, Mapping, Sequence
 from copy import copy
 from functools import partial
 from hashlib import sha1
 from typing import (
     Any,
-    Callable,
     Literal,
     NamedTuple,
-    Optional,
     Protocol,
     cast,
     overload,
@@ -82,7 +80,7 @@ from langgraph.types import (
     Send,
 )
 
-GetNextVersion = Callable[[Optional[V], None], V]
+GetNextVersion = Callable[[V | None, None], V]
 SUPPORTS_EXC_NOTES = sys.version_info >= (3, 11)
 
 
@@ -415,7 +413,7 @@ def prepare_next_tasks(
     null_version = checkpoint_null_version(checkpoint)
     tasks: list[PregelTask | PregelExecutableTask] = []
     # Consume pending tasks
-    tasks_channel = cast(Optional[Topic[Send]], channels.get(TASKS))
+    tasks_channel = cast(Topic[Send] | None, channels.get(TASKS))
     if tasks_channel and tasks_channel.is_available():
         for idx, _ in enumerate(tasks_channel.get()):
             if task := prepare_single_task(

libs/langgraph/langgraph/pregel/_call.py

@@ -7,8 +7,8 @@ import functools
 import inspect
 import sys
 import types
-from collections.abc import Awaitable, Generator, Sequence
-from typing import Any, Callable, Generic, TypeVar, cast
+from collections.abc import Awaitable, Callable, Generator, Sequence
+from typing import Any, Generic, TypeVar, cast
 
 from langchain_core.runnables import Runnable
 from typing_extensions import ParamSpec

libs/langgraph/langgraph/pregel/_executor.py

@@ -3,12 +3,11 @@ from __future__ import annotations
 import asyncio
 import concurrent.futures
 import time
-from collections.abc import Awaitable, Coroutine
+from collections.abc import Awaitable, Callable, Coroutine
 from contextlib import AbstractAsyncContextManager, AbstractContextManager, ExitStack
 from contextvars import copy_context
 from types import TracebackType
 from typing import (
-    Callable,
     Protocol,
     TypeVar,
     cast,

libs/langgraph/langgraph/pregel/_loop.py

@@ -4,7 +4,7 @@ import asyncio
 import binascii
 import concurrent.futures
 from collections import defaultdict, deque
-from collections.abc import Iterator, Mapping, Sequence
+from collections.abc import Callable, Iterator, Mapping, Sequence
 from contextlib import (
     AbstractAsyncContextManager,
     AbstractContextManager,
@@ -16,9 +16,7 @@ from inspect import signature
 from types import TracebackType
 from typing import (
     Any,
-    Callable,
     Literal,
-    Optional,
     TypeVar,
     cast,
 )
@@ -404,7 +402,7 @@ class PregelLoop:
         checkpoint_id_bytes = binascii.unhexlify(self.checkpoint["id"].replace("-", ""))
         null_version = checkpoint_null_version(self.checkpoint)
         if pushed := cast(
-            Optional[PregelExecutableTask],
+            PregelExecutableTask | None,
             prepare_single_task(
                 (PUSH, task.path, write_idx, task.id, call),
                 None,

libs/langgraph/langgraph/pregel/_messages.py

@@ -1,9 +1,8 @@
 from __future__ import annotations
 
-from collections.abc import AsyncIterator, Iterator, Sequence
+from collections.abc import AsyncIterator, Callable, Iterator, Sequence
 from typing import (
     Any,
-    Callable,
     TypeVar,
     cast,
 )

libs/langgraph/langgraph/pregel/_read.py

@@ -1,11 +1,9 @@
 from __future__ import annotations
 
-from collections.abc import AsyncIterator, Iterator, Mapping, Sequence
+from collections.abc import AsyncIterator, Callable, Iterator, Mapping, Sequence
 from functools import cached_property
 from typing import (
     Any,
-    Callable,
-    Union,
 )
 
 from langchain_core.runnables import Runnable, RunnableConfig
@@ -18,7 +16,7 @@ from langgraph.pregel._write import ChannelWrite
 from langgraph.pregel.protocol import PregelProtocol
 from langgraph.types import CachePolicy, RetryPolicy
 
-READ_TYPE = Callable[[Union[str, Sequence[str]], bool], Union[Any, dict[str, Any]]]
+READ_TYPE = Callable[[str | Sequence[str], bool], Any | dict[str, Any]]
 INPUT_CACHE_KEY_TYPE = tuple[Callable[..., Any], tuple[str, ...]]
 
 

libs/langgraph/langgraph/pregel/_retry.py

@@ -5,9 +5,9 @@ import logging
 import random
 import sys
 import time
-from collections.abc import Awaitable, Sequence
+from collections.abc import Awaitable, Callable, Sequence
 from dataclasses import replace
-from typing import Any, Callable
+from typing import Any
 
 from langgraph._internal._config import patch_configurable
 from langgraph._internal._constants import (

libs/langgraph/langgraph/pregel/_runner.py

@@ -5,15 +5,19 @@ import concurrent.futures
 import threading
 import time
 import weakref
-from collections.abc import AsyncIterator, Awaitable, Iterable, Iterator, Sequence
+from collections.abc import (
+    AsyncIterator,
+    Awaitable,
+    Callable,
+    Iterable,
+    Iterator,
+    Sequence,
+)
 from functools import partial
 from typing import (
     Any,
-    Callable,
     Generic,
-    Optional,
     TypeVar,
-    Union,
     cast,
 )
 
@@ -63,7 +67,7 @@ SKIP_RERAISE_SET: weakref.WeakSet[concurrent.futures.Future | asyncio.Future] =
 )
 
 
-class FuturesDict(Generic[F, E], dict[F, Optional[PregelExecutableTask]]):
+class FuturesDict(Generic[F, E], dict[F, PregelExecutableTask | None]):
     event: E
     callback: weakref.ref[Callable[[PregelExecutableTask, BaseException | None], None]]
     counter: int
@@ -602,7 +606,7 @@ def _call(
             # so we should not re-raise at the end of the tick
             SKIP_RERAISE_SET.add(fut)
             futures()[fut] = next_task  # type: ignore[index]
-    fut = cast(Union[asyncio.Future, concurrent.futures.Future], fut)
+    fut = cast(asyncio.Future | concurrent.futures.Future, fut)
     # return a chained future to ensure commit() callback is called
     # before the returned future is resolved, to ensure stream order etc
     return chain_future(fut, concurrent.futures.Future())

libs/langgraph/langgraph/pregel/_utils.py

@@ -4,7 +4,8 @@ import ast
 import inspect
 import re
 import textwrap
-from typing import Any, Callable
+from collections.abc import Callable
+from typing import Any
 
 from langchain_core.runnables import Runnable, RunnableLambda, RunnableSequence
 from langgraph.checkpoint.base import ChannelVersions

libs/langgraph/langgraph/pregel/_write.py

@@ -1,13 +1,10 @@
 from __future__ import annotations
 
-from collections.abc import Sequence
+from collections.abc import Callable, Sequence
 from typing import (
     Any,
-    Callable,
     NamedTuple,
-    Optional,
     TypeVar,
-    Union,
     cast,
 )
 
@@ -67,7 +64,7 @@ class ChannelWrite(RunnableCallable):
             trace=False,
         )
         self.writes = cast(
-            list[Union[ChannelWriteEntry, ChannelWriteTupleEntry, Send]], writes
+            list[ChannelWriteEntry | ChannelWriteTupleEntry | Send], writes
         )
 
     def get_name(self, suffix: str | None = None, *, name: str | None = None) -> str:
@@ -151,7 +148,7 @@ class ChannelWrite(RunnableCallable):
         elif writes := getattr(runnable, "_is_channel_writer", MISSING):
             if writes is not MISSING:
                 writes = cast(
-                    Sequence[tuple[Union[ChannelWriteEntry, Send], Optional[str]]],
+                    Sequence[tuple[ChannelWriteEntry | Send, str | None]],
                     writes,
                 )
                 entries = [e for e, _ in writes]

libs/langgraph/langgraph/pregel/main.py

@@ -8,16 +8,20 @@ import queue
 import warnings
 import weakref
 from collections import defaultdict, deque
-from collections.abc import AsyncIterator, Awaitable, Iterator, Mapping, Sequence
+from collections.abc import (
+    AsyncIterator,
+    Awaitable,
+    Callable,
+    Iterator,
+    Mapping,
+    Sequence,
+)
 from dataclasses import is_dataclass
 from functools import partial
 from inspect import isclass
 from typing import (
     Any,
-    Callable,
     Generic,
-    Optional,
-    Union,
     cast,
     get_type_hints,
 )
@@ -149,7 +153,7 @@ except ImportError:
 
 __all__ = ("NodeBuilder", "Pregel")
 
-_WriteValue = Union[Callable[[Input], Output], Any]
+_WriteValue = Callable[[Input], Output] | Any
 
 
 class NodeBuilder:
@@ -2561,7 +2565,7 @@ class Pregel(
                 config[CONF][CONFIG_KEY_CHECKPOINT_NS] = recast_checkpoint_ns(ns)
             # set up messages stream mode
             if "messages" in stream_modes:
-                ns_ = cast(Optional[str], config[CONF].get(CONFIG_KEY_CHECKPOINT_NS))
+                ns_ = cast(str | None, config[CONF].get(CONFIG_KEY_CHECKPOINT_NS))
                 run_manager.inheritable_handlers.append(
                     StreamMessagesHandler(
                         stream.put,
@@ -2846,7 +2850,7 @@ class Pregel(
             # set up messages stream mode
             if "messages" in stream_modes:
                 # namespace can be None in a root level graph?
-                ns_ = cast(Optional[str], config[CONF].get(CONFIG_KEY_CHECKPOINT_NS))
+                ns_ = cast(str | None, config[CONF].get(CONFIG_KEY_CHECKPOINT_NS))
                 run_manager.inheritable_handlers.append(
                     StreamMessagesHandler(
                         stream_put,

libs/langgraph/langgraph/pregel/protocol.py

@@ -1,8 +1,8 @@
 from __future__ import annotations
 
 from abc import abstractmethod
-from collections.abc import AsyncIterator, Iterator, Sequence
-from typing import Any, Callable, Generic, cast
+from collections.abc import AsyncIterator, Callable, Iterator, Sequence
+from typing import Any, Generic, cast
 
 from langchain_core.runnables import Runnable, RunnableConfig
 from langchain_core.runnables.graph import Graph as DrawableGraph

libs/langgraph/langgraph/types.py

@@ -2,18 +2,16 @@ from __future__ import annotations
 
 import sys
 from collections import deque
-from collections.abc import Hashable, Sequence
+from collections.abc import Callable, Hashable, Sequence
 from dataclasses import asdict, dataclass
 from typing import (
     TYPE_CHECKING,
     Any,
-    Callable,
     ClassVar,
     Generic,
     Literal,
     NamedTuple,
     TypeVar,
-    Union,
     final,
 )
 from warnings import warn
@@ -68,7 +66,7 @@ Durability = Literal["sync", "async", "exit"]
 All = Literal["*"]
 """Special value to indicate that graph should interrupt on all nodes."""
 
-Checkpointer = Union[None, bool, BaseCheckpointSaver]
+Checkpointer = None | bool | BaseCheckpointSaver
 """Type of the checkpointer to use for a subgraph.
 - True enables persistent checkpointing for this subgraph.
 - False disables checkpointing, even if the parent graph has a checkpointer.
@@ -95,12 +93,7 @@ StreamWriter = Callable[[Any], None]
 Always injected into nodes if requested as a keyword argument, but it's a no-op
 when not using `stream_mode="custom"`."""
 
-if sys.version_info >= (3, 10):
-    _DC_SLOTS = {"slots": True}
-    _DC_KWARGS = {"kw_only": True, "slots": True, "frozen": True}
-else:
-    _DC_SLOTS = {}
-    _DC_KWARGS = {"frozen": True}
+_DC_KWARGS = {"kw_only": True, "slots": True, "frozen": True}
 
 
 class RetryPolicy(NamedTuple):
@@ -125,7 +118,7 @@ class RetryPolicy(NamedTuple):
     """List of exception classes that should trigger a retry, or a callable that returns True for exceptions that should trigger a retry."""
 
 
-KeyFuncT = TypeVar("KeyFuncT", bound=Callable[..., Union[str, bytes]])
+KeyFuncT = TypeVar("KeyFuncT", bound=Callable[..., str | bytes])
 
 
 @dataclass(**_DC_KWARGS)
@@ -144,7 +137,7 @@ _DEFAULT_INTERRUPT_ID = "placeholder-id"
 
 
 @final
-@dataclass(init=False, **_DC_SLOTS)
+@dataclass(init=False, slots=True)
 class Interrupt:
     """Information about an interrupt that occurred in a node.
 

libs/langgraph/langgraph/typing.py

@@ -1,7 +1,5 @@
 from __future__ import annotations
 
-from typing import Union
-
 from typing_extensions import TypeVar
 
 from langgraph._internal._typing import StateLike
@@ -22,14 +20,14 @@ StateT_co = TypeVar("StateT_co", bound=StateLike, covariant=True)
 
 StateT_contra = TypeVar("StateT_contra", bound=StateLike, contravariant=True)
 
-ContextT = TypeVar("ContextT", bound=Union[StateLike, None], default=None)
+ContextT = TypeVar("ContextT", bound=StateLike | None, default=None)
 """Type variable used to represent graph run scoped context.
 
 Defaults to `None`.
 """
 
 ContextT_contra = TypeVar(
-    "ContextT_contra", bound=Union[StateLike, None], contravariant=True, default=None
+    "ContextT_contra", bound=StateLike | None, contravariant=True, default=None
 )
 
 InputT = TypeVar("InputT", bound=StateLike, default=StateT)

libs/langgraph/pyproject.toml

@@ -70,10 +70,7 @@ lint.ignore = [ "E501" ]
 line-length = 88
 indent-width = 4
 extend-include = ["*.ipynb"]
-target-version = "py39"
-
-[tool.ruff.lint.per-file-ignores]
-"tests/bench/*" = ["UP006", "UP007"]
+target-version = "py310"
 
 [tool.ruff.lint.flake8-tidy-imports.banned-api]
 "typing.TypedDict".msg = "Use typing_extensions.TypedDict instead."

libs/langgraph/tests/agents.py

@@ -1,4 +1,4 @@
-from typing import Literal, Union
+from typing import Literal
 
 from pydantic import BaseModel
 
@@ -14,7 +14,7 @@ class AgentAction(BaseModel):
     """
 
     tool: str
-    tool_input: Union[str, dict]
+    tool_input: str | dict
     log: str
     type: Literal["AgentAction"] = "AgentAction"
 

libs/langgraph/tests/any_str.py

@@ -1,6 +1,6 @@
 import re
 from collections.abc import Sequence
-from typing import Any, Union
+from typing import Any
 
 from typing_extensions import Self
 
@@ -31,7 +31,7 @@ class FloatBetween(float):
 
 
 class AnyStr(str):
-    def __init__(self, prefix: Union[str, re.Pattern] = "") -> None:
+    def __init__(self, prefix: str | re.Pattern = "") -> None:
         super().__init__()
         self.prefix = prefix
 

libs/langgraph/tests/conftest_checkpointer.py

@@ -1,4 +1,3 @@
-import sys
 from contextlib import asynccontextmanager, contextmanager
 from uuid import uuid4
 
@@ -115,8 +114,6 @@ async def _checkpointer_sqlite_aio():
 
 @asynccontextmanager
 async def _checkpointer_postgres_aio():
-    if sys.version_info < (3, 10):
-        pytest.skip("Async Postgres tests require Python 3.10+")
     database = f"test_{uuid4().hex[:16]}"
     # create unique db
     async with await AsyncConnection.connect(
@@ -140,8 +137,6 @@ async def _checkpointer_postgres_aio():
 
 @asynccontextmanager
 async def _checkpointer_postgres_aio_pipe():
-    if sys.version_info < (3, 10):
-        pytest.skip("Async Postgres tests require Python 3.10+")
     database = f"test_{uuid4().hex[:16]}"
     # create unique db
     async with await AsyncConnection.connect(
@@ -168,8 +163,6 @@ async def _checkpointer_postgres_aio_pipe():
 
 @asynccontextmanager
 async def _checkpointer_postgres_aio_pool():
-    if sys.version_info < (3, 10):
-        pytest.skip("Async Postgres tests require Python 3.10+")
     database = f"test_{uuid4().hex[:16]}"
     # create unique db
     async with await AsyncConnection.connect(

libs/langgraph/tests/conftest_store.py

@@ -1,8 +1,6 @@
-import sys
 from contextlib import asynccontextmanager, contextmanager
 from uuid import uuid4
 
-import pytest
 from langgraph.store.memory import InMemoryStore
 from langgraph.store.postgres import AsyncPostgresStore, PostgresStore
 from psycopg import AsyncConnection, Connection
@@ -74,8 +72,6 @@ def _store_postgres_pool():
 
 @asynccontextmanager
 async def _store_postgres_aio():
-    if sys.version_info < (3, 10):
-        pytest.skip("Async Postgres tests require Python 3.10+")
     database = f"test_{uuid4().hex[:16]}"
     async with await AsyncConnection.connect(
         DEFAULT_POSTGRES_URI, autocommit=True
@@ -96,8 +92,6 @@ async def _store_postgres_aio():
 
 @asynccontextmanager
 async def _store_postgres_aio_pipe():
-    if sys.version_info < (3, 10):
-        pytest.skip("Async Postgres tests require Python 3.10+")
     database = f"test_{uuid4().hex[:16]}"
     async with await AsyncConnection.connect(
         DEFAULT_POSTGRES_URI, autocommit=True
@@ -121,8 +115,6 @@ async def _store_postgres_aio_pipe():
 
 @asynccontextmanager
 async def _store_postgres_aio_pool():
-    if sys.version_info < (3, 10):
-        pytest.skip("Async Postgres tests require Python 3.10+")
     database = f"test_{uuid4().hex[:16]}"
     async with await AsyncConnection.connect(
         DEFAULT_POSTGRES_URI, autocommit=True

libs/langgraph/tests/fake_chat.py

@@ -1,6 +1,6 @@
 import re
 from collections.abc import AsyncIterator, Iterator
-from typing import Any, Optional, cast
+from typing import Any, cast
 
 from langchain_core.callbacks import (
     AsyncCallbackManagerForLLMRun,
@@ -22,8 +22,8 @@ class FakeChatModel(GenericFakeChatModel):
     def _generate(
         self,
         messages: list[BaseMessage],
-        stop: Optional[list[str]] = None,
-        run_manager: Optional[CallbackManagerForLLMRun] = None,
+        stop: list[str] | None = None,
+        run_manager: CallbackManagerForLLMRun | None = None,
         **kwargs: Any,
     ) -> ChatResult:
         """Top Level call"""
@@ -44,8 +44,8 @@ class FakeChatModel(GenericFakeChatModel):
     def _stream(
         self,
         messages: list[BaseMessage],
-        stop: Optional[list[str]] = None,
-        run_manager: Optional[CallbackManagerForLLMRun] = None,
+        stop: list[str] | None = None,
+        run_manager: CallbackManagerForLLMRun | None = None,
         **kwargs: Any,
     ) -> Iterator[ChatGenerationChunk]:
         """Stream the output of the model."""
@@ -101,8 +101,8 @@ class FakeChatModel(GenericFakeChatModel):
     async def _astream(
         self,
         messages: list[BaseMessage],
-        stop: Optional[list[str]] = None,
-        run_manager: Optional[AsyncCallbackManagerForLLMRun] = None,
+        stop: list[str] | None = None,
+        run_manager: AsyncCallbackManagerForLLMRun | None = None,
         **kwargs: Any,
     ) -> AsyncIterator[ChatGenerationChunk]:
         """Stream the output of the model."""

libs/langgraph/tests/fake_tracer.py

@@ -1,4 +1,4 @@
-from typing import Any, Optional
+from typing import Any
 from uuid import UUID
 
 from langchain_core.messages.base import BaseMessage
@@ -85,7 +85,7 @@ class FakeTracer(BaseTracer):
         return result
 
     @property
-    def run_ids(self) -> list[Optional[UUID]]:
+    def run_ids(self) -> list[UUID | None]:
         runs = self.flattened_runs()
         uuids_map = {v: k for k, v in self.uuids_map.items()}
         return [uuids_map.get(r.id) for r in runs]

libs/langgraph/tests/memory_assert.py

@@ -2,7 +2,7 @@ import os
 import tempfile
 from collections import defaultdict
 from functools import partial
-from typing import Any, Optional
+from typing import Any
 
 from langchain_core.runnables import RunnableConfig
 from langgraph.checkpoint.base import (
@@ -54,8 +54,8 @@ class MemorySaverAssertImmutable(InMemorySaver):
     def __init__(
         self,
         *,
-        serde: Optional[SerializerProtocol] = None,
-        put_sleep: Optional[float] = None,
+        serde: SerializerProtocol | None = None,
+        put_sleep: float | None = None,
     ) -> None:
         _, filename = tempfile.mkstemp()
         super().__init__(
@@ -94,7 +94,7 @@ class MemorySaverAssertImmutable(InMemorySaver):
 
 
 class MemorySaverNoPending(InMemorySaver):
-    def get_tuple(self, config: RunnableConfig) -> Optional[CheckpointTuple]:
+    def get_tuple(self, config: RunnableConfig) -> CheckpointTuple | None:
         result = super().get_tuple(config)
         if result:
             return CheckpointTuple(result.config, result.checkpoint, result.metadata)

libs/langgraph/tests/test_channels.py

@@ -1,6 +1,5 @@
 import operator
 from collections.abc import Sequence
-from typing import Union
 
 import pytest
 
@@ -35,7 +34,7 @@ def test_last_value() -> None:
 def test_topic() -> None:
     channel = Topic(str).from_checkpoint(MISSING)
     assert channel.ValueType == Sequence[str]
-    assert channel.UpdateType is Union[str, list[str]]
+    assert channel.UpdateType == str | list[str]
 
     assert channel.update(["a", "b"])
     assert channel.get() == ["a", "b"]
@@ -59,7 +58,7 @@ def test_topic() -> None:
 def test_topic_accumulate() -> None:
     channel = Topic(str, accumulate=True).from_checkpoint(MISSING)
     assert channel.ValueType == Sequence[str]
-    assert channel.UpdateType is Union[str, list[str]]
+    assert channel.UpdateType == str | list[str]
 
     assert channel.update(["a", "b"])
     assert channel.get() == ["a", "b"]

libs/langgraph/tests/test_checkpoint_migration.py

@@ -2,7 +2,7 @@ import operator
 import sys
 import time
 from collections import defaultdict
-from typing import Annotated, Literal, Optional, Union
+from typing import Annotated, Literal
 
 import pytest
 from langgraph.checkpoint.base import BaseCheckpointSaver, CheckpointTuple
@@ -1421,9 +1421,7 @@ SAVED_CHECKPOINTS = {
 
 
 def make_state_graph() -> StateGraph:
-    def sorted_add(
-        x: list[str], y: Union[list[str], list[tuple[str, str]]]
-    ) -> list[str]:
+    def sorted_add(x: list[str], y: list[str] | list[tuple[str, str]]) -> list[str]:
         if isinstance(y[0], tuple):
             for rem, _ in y:
                 x.remove(rem)
@@ -1610,7 +1608,7 @@ def test_saved_checkpoint_state_graph(
     config = {"configurable": {"thread_id": thread1, "checkpoint_ns": ""}}
 
     # save checkpoints
-    parent_id: Optional[str] = None
+    parent_id: str | None = None
     for checkpoint in reversed(SAVED_CHECKPOINTS[checkpoint_version]):
         grouped_writes = defaultdict(list)
         for write in checkpoint.pending_writes:
@@ -1676,7 +1674,7 @@ async def test_saved_checkpoint_state_graph_async(
     config = {"configurable": {"thread_id": thread1, "checkpoint_ns": ""}}
 
     # save checkpoints
-    parent_id: Optional[str] = None
+    parent_id: str | None = None
     for checkpoint in reversed(SAVED_CHECKPOINTS[checkpoint_version]):
         grouped_writes = defaultdict(list)
         for write in checkpoint.pending_writes:

libs/langgraph/tests/test_large_cases.py

@@ -3,7 +3,7 @@ import operator
 import re
 import time
 from dataclasses import replace
-from typing import Annotated, Any, Literal, Optional, Union, cast
+from typing import Annotated, Any, Literal, cast
 
 import pytest
 from langchain_core.messages import AIMessage, AnyMessage, ToolCall
@@ -489,11 +489,11 @@ def test_conditional_state_graph(
 
     class AgentState(TypedDict, total=False):
         input: Annotated[str, UntrackedValue]
-        agent_outcome: Optional[Union[AgentAction, AgentFinish]]
+        agent_outcome: AgentAction | AgentFinish | None
         intermediate_steps: Annotated[list[tuple[AgentAction, str]], operator.add]
 
     class ToolState(TypedDict, total=False):
-        agent_outcome: Union[AgentAction, AgentFinish]
+        agent_outcome: AgentAction | AgentFinish
 
     # Assemble the tools
     @tool()
@@ -514,7 +514,7 @@ def test_conditional_state_graph(
         ]
     )
 
-    def agent_parser(input: str) -> dict[str, Union[AgentAction, AgentFinish]]:
+    def agent_parser(input: str) -> dict[str, AgentAction | AgentFinish]:
         if input.startswith("finish"):
             _, answer = input.split(":")
             return {
@@ -2388,8 +2388,8 @@ def test_message_graph(
         def _generate(
             self,
             messages: list[BaseMessage],
-            stop: Optional[list[str]] = None,
-            run_manager: Optional[CallbackManagerForLLMRun] = None,
+            stop: list[str] | None = None,
+            run_manager: CallbackManagerForLLMRun | None = None,
             **kwargs: Any,
         ) -> ChatResult:
             response = deepcopy(self.responses[self.i])
@@ -3111,8 +3111,8 @@ def test_root_graph(
         def _generate(
             self,
             messages: list[BaseMessage],
-            stop: Optional[list[str]] = None,
-            run_manager: Optional[CallbackManagerForLLMRun] = None,
+            stop: list[str] | None = None,
+            run_manager: CallbackManagerForLLMRun | None = None,
             **kwargs: Any,
         ) -> ChatResult:
             response = deepcopy(self.responses[self.i])
@@ -4326,7 +4326,7 @@ def test_partial_pending_checkpoint(sync_checkpointer: BaseCheckpointSaver) -> N
             answer = " all good"
         return {"my_key": answer}
 
-    def start(state: State) -> list[Union[Send, str]]:
+    def start(state: State) -> list[Send | str]:
         return ["tool_two", Send("tool_one", state)]
 
     tool_two_graph = StateGraph(State)

libs/langgraph/tests/test_large_cases_async.py

@@ -5,8 +5,6 @@ import sys
 from typing import (
     Annotated,
     Literal,
-    Optional,
-    Union,
     cast,
 )
 
@@ -487,7 +485,7 @@ async def test_conditional_graph_state(async_checkpointer: BaseCheckpointSaver)
 
     class AgentState(TypedDict):
         input: Annotated[str, UntrackedValue]
-        agent_outcome: Optional[Union[AgentAction, AgentFinish]]
+        agent_outcome: AgentAction | AgentFinish | None
         intermediate_steps: Annotated[list[tuple[AgentAction, str]], operator.add]
 
     # Assemble the tools
@@ -509,7 +507,7 @@ async def test_conditional_graph_state(async_checkpointer: BaseCheckpointSaver)
         ]
     )
 
-    def agent_parser(input: str) -> dict[str, Union[AgentAction, AgentFinish]]:
+    def agent_parser(input: str) -> dict[str, AgentAction | AgentFinish]:
         if input.startswith("finish"):
             _, answer = input.split(":")
             return {

libs/langgraph/tests/test_pregel.py

@@ -12,7 +12,7 @@ from collections.abc import Sequence
 from concurrent.futures import ThreadPoolExecutor
 from dataclasses import dataclass, field
 from random import randrange
-from typing import Annotated, Any, Literal, Optional, Union, get_type_hints
+from typing import Annotated, Any, Literal, get_type_hints
 
 import pytest
 from langchain_core.language_models import GenericFakeChatModel
@@ -139,7 +139,7 @@ def test_graph_validation_with_command() -> None:
 
 def test_checkpoint_errors() -> None:
     class FaultyGetCheckpointer(InMemorySaver):
-        def get_tuple(self, config: RunnableConfig) -> Optional[CheckpointTuple]:
+        def get_tuple(self, config: RunnableConfig) -> CheckpointTuple | None:
             raise ValueError("Faulty get_tuple")
 
     class FaultyPutCheckpointer(InMemorySaver):
@@ -148,7 +148,7 @@ def test_checkpoint_errors() -> None:
             config: RunnableConfig,
             checkpoint: Checkpoint,
             metadata: CheckpointMetadata,
-            new_versions: Optional[dict[str, Union[str, int, float]]] = None,
+            new_versions: dict[str, str | int | float] | None = None,
         ) -> RunnableConfig:
             raise ValueError("Faulty put")
 
@@ -159,7 +159,7 @@ def test_checkpoint_errors() -> None:
             raise ValueError("Faulty put_writes")
 
     class FaultyVersionCheckpointer(InMemorySaver):
-        def get_next_version(self, current: Optional[int], channel: None) -> int:
+        def get_next_version(self, current: int | None, channel: None) -> int:
             raise ValueError("Faulty get_next_version")
 
     def logic(inp: str) -> str:
@@ -835,7 +835,7 @@ def test_pending_writes_resume(
         value: Annotated[int, operator.add]
 
     class AwhileMaker:
-        def __init__(self, sleep: float, rtn: Union[dict, Exception]) -> None:
+        def __init__(self, sleep: float, rtn: dict | Exception) -> None:
             self.sleep = sleep
             self.rtn = rtn
             self.reset()
@@ -1338,7 +1338,7 @@ def test_imp_stream_order(
         return state["a"] + "foo", "bar"
 
     @task
-    def bar(a: str, b: str, c: Optional[str] = None) -> dict:
+    def bar(a: str, b: str, c: str | None = None) -> dict:
         return {"a": a + b, "c": (c or "") + "bark"}
 
     @task
@@ -1725,7 +1725,7 @@ def test_state_graph_w_config_inherited_state_keys(snapshot: SnapshotAssertion)
 
     class BaseState(TypedDict):
         input: str
-        agent_outcome: Optional[Union[AgentAction, AgentFinish]]
+        agent_outcome: AgentAction | AgentFinish | None
 
     class AgentState(BaseState, total=False):
         intermediate_steps: Annotated[list[tuple[AgentAction, str]], operator.add]
@@ -1758,7 +1758,7 @@ def test_state_graph_w_config_inherited_state_keys(snapshot: SnapshotAssertion)
         ]
     )
 
-    def agent_parser(input: str) -> dict[str, Union[AgentAction, AgentFinish]]:
+    def agent_parser(input: str) -> dict[str, AgentAction | AgentFinish]:
         if input.startswith("finish"):
             _, answer = input.split(":")
             return {
@@ -1892,9 +1892,7 @@ def test_conditional_entrypoint_graph_state(snapshot: SnapshotAssertion) -> None
 def test_in_one_fan_out_state_graph_waiting_edge(
     snapshot: SnapshotAssertion, sync_checkpointer: BaseCheckpointSaver
 ) -> None:
-    def sorted_add(
-        x: list[str], y: Union[list[str], list[tuple[str, str]]]
-    ) -> list[str]:
+    def sorted_add(x: list[str], y: list[str] | list[tuple[str, str]]) -> list[str]:
         if isinstance(y[0], tuple):
             for rem, _ in y:
                 x.remove(rem)
@@ -2031,9 +2029,7 @@ def test_in_one_fan_out_state_graph_defer_node(
     sync_checkpointer: BaseCheckpointSaver,
     use_waiting_edge: bool,
 ) -> None:
-    def sorted_add(
-        x: list[str], y: Union[list[str], list[tuple[str, str]]]
-    ) -> list[str]:
+    def sorted_add(x: list[str], y: list[str] | list[tuple[str, str]]) -> list[str]:
         if isinstance(y[0], tuple):
             for rem, _ in y:
                 x.remove(rem)
@@ -2307,9 +2303,7 @@ def test_in_one_fan_out_state_graph_defer_node(
 def test_in_one_fan_out_state_graph_waiting_edge_via_branch(
     snapshot: SnapshotAssertion, sync_checkpointer: BaseCheckpointSaver
 ) -> None:
-    def sorted_add(
-        x: list[str], y: Union[list[str], list[tuple[str, str]]]
-    ) -> list[str]:
+    def sorted_add(x: list[str], y: list[str] | list[tuple[str, str]]) -> list[str]:
         if isinstance(y[0], tuple):
             for rem, _ in y:
                 x.remove(rem)
@@ -2399,9 +2393,7 @@ def test_in_one_fan_out_state_graph_waiting_edge_custom_state_class_pydantic2(
     snapshot: SnapshotAssertion,
     sync_checkpointer: BaseCheckpointSaver,
 ) -> None:
-    def sorted_add(
-        x: list[str], y: Union[list[str], list[tuple[str, str]]]
-    ) -> list[str]:
+    def sorted_add(x: list[str], y: list[str] | list[tuple[str, str]]) -> list[str]:
         if isinstance(y[0], tuple):
             for rem, _ in y:
                 x.remove(rem)
@@ -2416,13 +2408,13 @@ def test_in_one_fan_out_state_graph_waiting_edge_custom_state_class_pydantic2(
 
         query: str
         inner: Annotated[InnerObject, lambda x, y: y]
-        answer: Optional[str] = None
+        answer: str | None = None
         docs: Annotated[list[str], sorted_add]
 
     class StateUpdate(BaseModel):
-        query: Optional[str] = None
-        answer: Optional[str] = None
-        docs: Optional[list[str]] = None
+        query: str | None = None
+        answer: str | None = None
+        docs: list[str] | None = None
 
     class UpdateDocs34(BaseModel):
         docs: list[str] = Field(default_factory=lambda: ["doc3", "doc4"])
@@ -2534,9 +2526,7 @@ def test_in_one_fan_out_state_graph_waiting_edge_custom_state_class_pydantic2(
 def test_in_one_fan_out_state_graph_waiting_edge_custom_state_class_pydantic_input(
     sync_checkpointer: BaseCheckpointSaver,
 ) -> None:
-    def sorted_add(
-        x: list[str], y: Union[list[str], list[tuple[str, str]]]
-    ) -> list[str]:
+    def sorted_add(x: list[str], y: list[str] | list[tuple[str, str]]) -> list[str]:
         if isinstance(y[0], tuple):
             for rem, _ in y:
                 x.remove(rem)
@@ -2551,13 +2541,13 @@ def test_in_one_fan_out_state_graph_waiting_edge_custom_state_class_pydantic_inp
 
     class State(QueryModel):
         inner: InnerObject
-        answer: Optional[str] = None
+        answer: str | None = None
         docs: Annotated[list[str], sorted_add]
 
     class StateUpdate(BaseModel):
-        query: Optional[str] = None
-        answer: Optional[str] = None
-        docs: Optional[list[str]] = None
+        query: str | None = None
+        answer: str | None = None
+        docs: list[str] | None = None
 
     class Input(QueryModel):
         inner: InnerObject
@@ -2659,9 +2649,7 @@ def test_in_one_fan_out_state_graph_waiting_edge_custom_state_class_pydantic_inp
 def test_in_one_fan_out_state_graph_waiting_edge_plus_regular(
     sync_checkpointer: BaseCheckpointSaver,
 ) -> None:
-    def sorted_add(
-        x: list[str], y: Union[list[str], list[tuple[str, str]]]
-    ) -> list[str]:
+    def sorted_add(x: list[str], y: list[str] | list[tuple[str, str]]) -> list[str]:
         if isinstance(y[0], tuple):
             for rem, _ in y:
                 x.remove(rem)
@@ -2772,9 +2760,7 @@ def test_in_one_fan_out_state_graph_waiting_edge_plus_regular(
 def test_in_one_fan_out_state_graph_waiting_edge_multiple(
     with_cache: bool, cache: BaseCache
 ) -> None:
-    def sorted_add(
-        x: list[str], y: Union[list[str], list[tuple[str, str]]]
-    ) -> list[str]:
+    def sorted_add(x: list[str], y: list[str] | list[tuple[str, str]]) -> list[str]:
         if isinstance(y[0], tuple):
             for rem, _ in y:
                 x.remove(rem)
@@ -2939,9 +2925,7 @@ def test_function_in_conditional_edges_with_no_path_map() -> None:
 
 
 def test_in_one_fan_out_state_graph_waiting_edge_multiple_cond_edge() -> None:
-    def sorted_add(
-        x: list[str], y: Union[list[str], list[tuple[str, str]]]
-    ) -> list[str]:
+    def sorted_add(x: list[str], y: list[str] | list[tuple[str, str]]) -> list[str]:
         if isinstance(y[0], tuple):
             for rem, _ in y:
                 x.remove(rem)
@@ -4242,7 +4226,7 @@ def test_store_injected(
     thread_2 = str(uuid.uuid4())
 
     class Node:
-        def __init__(self, i: Optional[int] = None):
+        def __init__(self, i: int | None = None):
             self.i = i
 
         def __call__(self, inputs: State, config: RunnableConfig, store: BaseStore):
@@ -4368,7 +4352,7 @@ def test_debug_retry(sync_checkpointer: BaseCheckpointSaver):
         for c in graph.get_state_history(config)
     }
 
-    def lax_normalize_config(config: Optional[dict]) -> Optional[dict]:
+    def lax_normalize_config(config: dict | None) -> dict | None:
         if config is None:
             return None
         return config["configurable"]
@@ -4435,7 +4419,7 @@ def test_debug_subgraphs(
 
     assert len(checkpoint_events) == len(checkpoint_history)
 
-    def lax_normalize_config(config: Optional[dict]) -> Optional[dict]:
+    def lax_normalize_config(config: dict | None) -> dict | None:
         if config is None:
             return None
         return config["configurable"]
@@ -4528,7 +4512,7 @@ def test_debug_nested_subgraphs(
         for ns in stream_ns.keys()
     }
 
-    def normalize_config(config: Optional[dict]) -> Optional[dict]:
+    def normalize_config(config: dict | None) -> dict | None:
         if config is None:
             return None
 
@@ -5146,7 +5130,7 @@ def test_multistep_plan(sync_checkpointer: BaseCheckpointSaver):
     from langchain_core.messages import AnyMessage
 
     class State(TypedDict, total=False):
-        plan: list[Union[str, list[str]]]
+        plan: list[str | list[str]]
         messages: Annotated[list[AnyMessage], add_messages]
 
     def planner(state: State):
@@ -6747,7 +6731,7 @@ def test_node_destinations() -> None:
 
 def test_pydantic_none_state_update() -> None:
     class State(BaseModel):
-        foo: Optional[str]
+        foo: str | None
 
     def node_a(state: State) -> State:
         return State(foo=None)
@@ -6758,7 +6742,7 @@ def test_pydantic_none_state_update() -> None:
 
 def test_pydantic_state_update_command() -> None:
     class State(BaseModel):
-        foo: Optional[str]
+        foo: str | None
 
     def node_a(state: State) -> State:
         return Command(update=State(foo=None))
@@ -6767,8 +6751,8 @@ def test_pydantic_state_update_command() -> None:
     assert graph.invoke({"foo": ""}) == {"foo": None}
 
     class State(BaseModel):
-        foo: Optional[str] = None
-        bar: Optional[str] = None
+        foo: str | None = None
+        bar: str | None = None
 
     def node_a(state: State):
         return State(foo="foo")
@@ -7140,7 +7124,7 @@ def test_parallel_interrupts(sync_checkpointer: BaseCheckpointSaver) -> None:
 
     class ChildState(BaseModel):
         prompt: str = Field(..., description="What is going to be asked to the user?")
-        human_input: Optional[str] = Field(None, description="What the human said")
+        human_input: str | None = Field(None, description="What the human said")
         human_inputs: Annotated[list[str], operator.add] = Field(
             default_factory=list, description="All of my messages"
         )
@@ -7298,7 +7282,7 @@ def test_parallel_interrupts_double(sync_checkpointer: BaseCheckpointSaver) -> N
 
     class ChildState(BaseModel):
         prompt: str = Field(..., description="What is going to be asked to the user?")
-        human_input: Optional[str] = Field(None, description="What the human said")
+        human_input: str | None = Field(None, description="What the human said")
         human_inputs: Annotated[list[str], operator.add] = Field(
             default_factory=list, description="All of my messages"
         )

libs/langgraph/tests/test_pregel_async.py

@@ -15,7 +15,6 @@ from typing import (
     Any,
     Literal,
     Optional,
-    Union,
 )
 from uuid import UUID
 
@@ -91,7 +90,7 @@ NEEDS_CONTEXTVARS = pytest.mark.skipif(
 
 async def test_checkpoint_errors() -> None:
     class FaultyGetCheckpointer(InMemorySaver):
-        async def aget_tuple(self, config: RunnableConfig) -> Optional[CheckpointTuple]:
+        async def aget_tuple(self, config: RunnableConfig) -> CheckpointTuple | None:
             raise ValueError("Faulty get_tuple")
 
     class FaultyPutCheckpointer(InMemorySaver):
@@ -111,7 +110,7 @@ async def test_checkpoint_errors() -> None:
             raise ValueError("Faulty put_writes")
 
     class FaultyVersionCheckpointer(InMemorySaver):
-        def get_next_version(self, current: Optional[int], channel: None) -> int:
+        def get_next_version(self, current: int | None, channel: None) -> int:
             raise ValueError("Faulty get_next_version")
 
     class FaultySerializer(JsonPlusSerializer):
@@ -913,7 +912,7 @@ async def test_partial_pending_checkpoint(
             answer = " all good"
         return {"my_key": answer}
 
-    def start(state: State) -> list[Union[Send, str]]:
+    def start(state: State) -> list[Send | str]:
         return ["tool_two", Send("tool_one", state)]
 
     tool_two_graph = StateGraph(State)
@@ -1771,7 +1770,7 @@ async def test_pending_writes_resume(
         value: Annotated[int, operator.add]
 
     class AwhileMaker:
-        def __init__(self, sleep: float, rtn: Union[dict, Exception]) -> None:
+        def __init__(self, sleep: float, rtn: dict | Exception) -> None:
             self.sleep = sleep
             self.rtn = rtn
             self.reset()
@@ -2418,7 +2417,7 @@ async def test_imp_sync_from_async(
         return {"a": state["a"] + "foo", "b": "bar"}
 
     @task
-    def bar(a: str, b: str, c: Optional[str] = None) -> dict:
+    def bar(a: str, b: str, c: str | None = None) -> dict:
         return {"a": a + b, "c": (c or "") + "bark"}
 
     @task()
@@ -2452,7 +2451,7 @@ async def test_imp_stream_order(
         return {"a": state["a"] + "foo", "b": "bar"}
 
     @task
-    async def bar(a: str, b: str, c: Optional[str] = None) -> dict:
+    async def bar(a: str, b: str, c: str | None = None) -> dict:
         return {"a": a + b, "c": (c or "") + "bark"}
 
     @task()
@@ -3845,9 +3844,7 @@ async def test_conditional_entrypoint_graph_state() -> None:
 async def test_in_one_fan_out_state_graph_waiting_edge(
     async_checkpointer: BaseCheckpointSaver,
 ) -> None:
-    def sorted_add(
-        x: list[str], y: Union[list[str], list[tuple[str, str]]]
-    ) -> list[str]:
+    def sorted_add(x: list[str], y: list[str] | list[tuple[str, str]]) -> list[str]:
         if isinstance(y[0], tuple):
             for rem, _ in y:
                 x.remove(rem)
@@ -3934,9 +3931,7 @@ async def test_in_one_fan_out_state_graph_waiting_edge(
 async def test_in_one_fan_out_state_graph_defer_node(
     async_checkpointer: BaseCheckpointSaver, use_waiting_edge: bool
 ) -> None:
-    def sorted_add(
-        x: list[str], y: Union[list[str], list[tuple[str, str]]]
-    ) -> list[str]:
+    def sorted_add(x: list[str], y: list[str] | list[tuple[str, str]]) -> list[str]:
         if isinstance(y[0], tuple):
             for rem, _ in y:
                 x.remove(rem)
@@ -4026,9 +4021,7 @@ async def test_in_one_fan_out_state_graph_defer_node(
 async def test_in_one_fan_out_state_graph_waiting_edge_via_branch(
     async_checkpointer: BaseCheckpointSaver,
 ) -> None:
-    def sorted_add(
-        x: list[str], y: Union[list[str], list[tuple[str, str]]]
-    ) -> list[str]:
+    def sorted_add(x: list[str], y: list[str] | list[tuple[str, str]]) -> list[str]:
         if isinstance(y[0], tuple):
             for rem, _ in y:
                 x.remove(rem)
@@ -4119,7 +4112,7 @@ async def test_nested_pydantic_models() -> None:
     class NestedModel(BaseModel):
         value: int
         name: str
-        something: Optional[str] = None
+        something: str | None = None
 
     # Forward reference model
     class RecursiveModel(BaseModel):
@@ -4153,16 +4146,16 @@ async def test_nested_pydantic_models() -> None:
         # Basic nested model tests
         top_level: str
         nested: NestedModel
-        optional_nested: Optional[NestedModel] = None
+        optional_nested: NestedModel | None = None
         dict_nested: dict[str, NestedModel]
         my_set: set[int]
         another_set: set
         my_enum: MyEnum
         list_nested: Annotated[
-            Union[dict, list[dict[str, NestedModel]]], lambda x, y: (x or []) + [y]
+            dict | list[dict[str, NestedModel]], lambda x, y: (x or []) + [y]
         ]
         list_nested_reversed: Annotated[
-            Union[list[dict[str, NestedModel]], NestedModel, dict, list],
+            list[dict[str, NestedModel]] | NestedModel | dict | list,
             lambda x, y: (x or []) + [y],
         ]
         tuple_nested: tuple[str, NestedModel]
@@ -4174,7 +4167,7 @@ async def test_nested_pydantic_models() -> None:
         recursive: RecursiveModel
 
         # Discriminated union test
-        pet: Union[Cat, Dog]
+        pet: Cat | Dog
 
         # Cyclic reference test
         people: dict[str, Person]  # Map of ID -> Person
@@ -4241,9 +4234,7 @@ async def test_nested_pydantic_models() -> None:
 async def test_in_one_fan_out_state_graph_waiting_edge_custom_state_class(
     async_checkpointer: BaseCheckpointSaver,
 ) -> None:
-    def sorted_add(
-        x: list[str], y: Union[list[str], list[tuple[str, str]]]
-    ) -> list[str]:
+    def sorted_add(x: list[str], y: list[str] | list[tuple[str, str]]) -> list[str]:
         if isinstance(y[0], tuple):
             for rem, _ in y:
                 x.remove(rem)
@@ -4254,7 +4245,7 @@ async def test_in_one_fan_out_state_graph_waiting_edge_custom_state_class(
         model_config = ConfigDict(arbitrary_types_allowed=True)
 
         query: str
-        answer: Optional[str] = None
+        answer: str | None = None
         docs: Annotated[list[str], sorted_add]
 
     class Input(BaseModel):
@@ -4265,9 +4256,9 @@ async def test_in_one_fan_out_state_graph_waiting_edge_custom_state_class(
         docs: list[str]
 
     class StateUpdate(BaseModel):
-        query: Optional[str] = None
-        answer: Optional[str] = None
-        docs: Optional[list[str]] = None
+        query: str | None = None
+        answer: str | None = None
+        docs: list[str] | None = None
 
     async def rewrite_query(data: State) -> State:
         return {"query": f"query: {data.query}"}
@@ -4394,9 +4385,7 @@ async def test_in_one_fan_out_state_graph_waiting_edge_custom_state_class(
 async def test_in_one_fan_out_state_graph_waiting_edge_custom_state_class_pydantic2(
     snapshot: SnapshotAssertion, async_checkpointer: BaseCheckpointSaver
 ) -> None:
-    def sorted_add(
-        x: list[str], y: Union[list[str], list[tuple[str, str]]]
-    ) -> list[str]:
+    def sorted_add(x: list[str], y: list[str] | list[tuple[str, str]]) -> list[str]:
         if isinstance(y[0], tuple):
             for rem, _ in y:
                 x.remove(rem)
@@ -4409,13 +4398,13 @@ async def test_in_one_fan_out_state_graph_waiting_edge_custom_state_class_pydant
     class State(BaseModel):
         query: str
         inner: InnerObject
-        answer: Optional[str] = None
+        answer: str | None = None
         docs: Annotated[list[str], sorted_add]
 
     class StateUpdate(BaseModel):
-        query: Optional[str] = None
-        answer: Optional[str] = None
-        docs: Optional[list[str]] = None
+        query: str | None = None
+        answer: str | None = None
+        docs: list[str] | None = None
 
     async def rewrite_query(data: State) -> State:
         return {"query": f"query: {data.query}"}
@@ -4523,9 +4512,7 @@ async def test_in_one_fan_out_state_graph_waiting_edge_custom_state_class_pydant
 async def test_in_one_fan_out_state_graph_waiting_edge_plus_regular(
     async_checkpointer: BaseCheckpointSaver,
 ) -> None:
-    def sorted_add(
-        x: list[str], y: Union[list[str], list[tuple[str, str]]]
-    ) -> list[str]:
+    def sorted_add(x: list[str], y: list[str] | list[tuple[str, str]]) -> list[str]:
         if isinstance(y[0], tuple):
             for rem, _ in y:
                 x.remove(rem)
@@ -4619,9 +4606,7 @@ async def test_in_one_fan_out_state_graph_waiting_edge_plus_regular(
 async def test_in_one_fan_out_state_graph_waiting_edge_multiple(
     with_cache: bool, cache: BaseCache
 ) -> None:
-    def sorted_add(
-        x: list[str], y: Union[list[str], list[tuple[str, str]]]
-    ) -> list[str]:
+    def sorted_add(x: list[str], y: list[str] | list[tuple[str, str]]) -> list[str]:
         if isinstance(y[0], tuple):
             for rem, _ in y:
                 x.remove(rem)
@@ -4736,9 +4721,7 @@ async def test_in_one_fan_out_state_graph_waiting_edge_multiple(
 
 
 async def test_in_one_fan_out_state_graph_waiting_edge_multiple_cond_edge() -> None:
-    def sorted_add(
-        x: list[str], y: Union[list[str], list[tuple[str, str]]]
-    ) -> list[str]:
+    def sorted_add(x: list[str], y: list[str] | list[tuple[str, str]]) -> list[str]:
         if isinstance(y[0], tuple):
             for rem, _ in y:
                 x.remove(rem)
@@ -5705,7 +5688,7 @@ async def test_store_injected_async(
     thread_2 = str(uuid.uuid4())
 
     class Node:
-        def __init__(self, i: Optional[int] = None):
+        def __init__(self, i: int | None = None):
             self.i = i
 
         async def __call__(
@@ -5835,7 +5818,7 @@ async def test_debug_retry(async_checkpointer: BaseCheckpointSaver):
         async for c in graph.aget_state_history(config)
     }
 
-    def lax_normalize_config(config: Optional[dict]) -> Optional[dict]:
+    def lax_normalize_config(config: dict | None) -> dict | None:
         if config is None:
             return None
         return config["configurable"]
@@ -5903,7 +5886,7 @@ async def test_debug_subgraphs(
 
     assert len(checkpoint_events) == len(checkpoint_history)
 
-    def normalize_config(config: Optional[dict]) -> Optional[dict]:
+    def normalize_config(config: dict | None) -> dict | None:
         if config is None:
             return None
         return config["configurable"]
@@ -6000,7 +5983,7 @@ async def test_debug_nested_subgraphs(
 
         history_ns[ns] = await get_history()
 
-    def normalize_config(config: Optional[dict]) -> Optional[dict]:
+    def normalize_config(config: dict | None) -> dict | None:
         if config is None:
             return None
 
@@ -6377,7 +6360,7 @@ async def test_multistep_plan(async_checkpointer: BaseCheckpointSaver) -> None:
     from langchain_core.messages import AnyMessage
 
     class State(TypedDict, total=False):
-        plan: list[Union[str, list[str]]]
+        plan: list[str | list[str]]
         messages: Annotated[list[AnyMessage], add_messages]
 
     def planner(state: State):

libs/langgraph/tests/test_pydantic.py

@@ -6,7 +6,7 @@ import re
 import sys
 import uuid
 from enum import Enum
-from typing import Annotated, Literal, Optional, Union
+from typing import Annotated, Literal, Optional
 
 from pydantic import (
     BaseModel,
@@ -101,11 +101,11 @@ def test_nested_pydantic_models() -> None:
         top_level: str
         auuid: uuid.UUID
         nested: NestedModel
-        optional_nested: Annotated[Optional[NestedModel], lambda x, y: y, "Foo"]
+        optional_nested: Annotated[NestedModel | None, lambda x, y: y, "Foo"]
         dict_nested: dict[str, NestedModel]
         simple_str_list: list[str]
         list_nested: Annotated[
-            Union[dict, list[dict[str, NestedModel]]], lambda x, y: (x or []) + [y]
+            dict | list[dict[str, NestedModel]], lambda x, y: (x or []) + [y]
         ]
         tuple_nested: tuple[str, NestedModel]
         tuple_list_nested: list[tuple[int, NestedModel]]
@@ -115,7 +115,7 @@ def test_nested_pydantic_models() -> None:
         recursive: RecursiveModel
 
         # Discriminated union test
-        pet: Union[Cat, Dog]
+        pet: Cat | Dog
 
         # Cyclic reference test
         people: dict[str, Person]  # Map of ID -> Person

libs/langgraph/tests/test_remote_graph.py

@@ -1,6 +1,6 @@
 import re
 import sys
-from typing import Annotated, Optional, Union
+from typing import Annotated
 from unittest.mock import AsyncMock, MagicMock
 
 import langsmith as ls
@@ -1086,7 +1086,7 @@ async def nested_graph() -> Pregel:
     )
 
 
-def get_message_dict(msg: Union[BaseMessage, dict]):
+def get_message_dict(msg: BaseMessage | dict):
     # just get the core stuff from within the message
     if isinstance(msg, dict):
         return {
@@ -1185,7 +1185,7 @@ async def test_remote_graph_stream_messages_tuple(
 @pytest.mark.parametrize("stream", [False, True])
 @pytest.mark.parametrize("headers", [None, {"foo": "bar"}])
 async def test_include_headers(
-    distributed_tracing: bool, stream: bool, headers: Optional[dict[str, str]]
+    distributed_tracing: bool, stream: bool, headers: dict[str, str] | None
 ):
     mock_async_client = MagicMock()
     async_iter = MagicMock()

libs/langgraph/tests/test_state.py

@@ -2,7 +2,7 @@ import inspect
 import operator
 import warnings
 from dataclasses import dataclass, field
-from typing import Annotated, Any, Optional, Union
+from typing import Annotated, Any, Union
 from typing import Annotated as Annotated2
 
 import pytest
@@ -139,11 +139,11 @@ def test_state_schema_with_type_hint():
 def test_state_schema_optional_values(total_: bool):
     class SomeParentState(TypedDict):
         val0a: str
-        val0b: Optional[str]
+        val0b: str | None
 
     class InputState(SomeParentState, total=total_):  # type: ignore
         val1: str
-        val2: Optional[str]
+        val2: str | None
         val3: Required[Annotated[dict, operator.or_]]
         val4: NotRequired[dict]
         val5: Annotated[Required[str], "foo"]
@@ -151,7 +151,7 @@ def test_state_schema_optional_values(total_: bool):
 
     class OutputState(SomeParentState, total=total_):  # type: ignore
         out_val1: str
-        out_val2: Optional[str]
+        out_val2: str | None
         out_val3: Required[str]
         out_val4: NotRequired[dict]
         out_val5: Annotated[Required[str], "foo"]
@@ -211,9 +211,9 @@ def test_state_schema_default_values(kw_only_: bool):
     @dataclass(**kwargs)
     class InputState:
         val1: str
-        val2: Optional[int]
-        val3: Annotated[Optional[float], "optional annotated"]
-        val4: Optional[str] = None
+        val2: int | None
+        val3: Annotated[float | None, "optional annotated"]
+        val4: str | None = None
         val5: list[int] = field(default_factory=lambda: [1, 2, 3])
         val6: dict[str, int] = field(default_factory=lambda: {"a": 1})
         val7: str = field(default=...)
@@ -354,7 +354,7 @@ def test_is_field_channel() -> None:
     assert isinstance(result, EphemeralValue) and result.typ is str
 
     # Complex types work
-    union_type = Union[int, str]
+    union_type = Union[int, str]  # noqa: UP007
     result = _is_field_channel(Annotated[union_type, EphemeralValue])
     assert isinstance(result, EphemeralValue) and result.typ is union_type
 

libs/langgraph/tests/test_tracing_interops.py

@@ -1,7 +1,8 @@
 import json
 import sys
 import time
-from typing import Any, Callable, TypeVar
+from collections.abc import Callable
+from typing import Any, TypeVar
 from unittest.mock import MagicMock
 
 import langsmith as ls

libs/langgraph/tests/test_utils.py

@@ -1,10 +1,10 @@
 import functools
 import sys
 import uuid
+from collections.abc import Callable
 from typing import (
     Annotated,
     Any,
-    Callable,
     ForwardRef,
     Literal,
     Optional,
@@ -28,6 +28,8 @@ from langgraph.constants import END
 from langgraph.graph import StateGraph
 from langgraph.graph.state import CompiledStateGraph
 
+# ruff: noqa: UP045, UP007
+
 pytestmark = pytest.mark.anyio
 
 
@@ -151,14 +153,10 @@ def test_is_optional_type():
     assert not _is_optional_type(Literal[1, 2, 3])
     assert _is_optional_type(Optional[list[int]])
     assert _is_optional_type(Optional[dict[str, int]])
-    assert not _is_optional_type(list[Optional[int]])
-    assert _is_optional_type(Union[Optional[str], Optional[int]])
-    assert _is_optional_type(
-        Union[
-            Union[Optional[str], Optional[int]], Union[Optional[float], Optional[dict]]
-        ]
-    )
-    assert not _is_optional_type(Union[Union[str, int], Union[float, dict]])
+    assert not _is_optional_type(list[int | None])
+    assert _is_optional_type(Union[str | None, int | None])
+    assert _is_optional_type(Union[str | None | int | None, float | None | dict | None])
+    assert not _is_optional_type(Union[str | int, float | dict])
 
     assert _is_optional_type(Union[int, None])
     assert _is_optional_type(Union[str, None, int])
@@ -176,31 +174,31 @@ def test_is_optional_type():
     assert _is_optional_type(Optional[ForwardRef("MyClass")])
     assert not _is_optional_type(ForwardRef("MyClass"))
 
-    assert _is_optional_type(Optional[Union[list[int], dict[str, Optional[int]]]])
-    assert not _is_optional_type(Union[list[int], dict[str, Optional[int]]])
+    assert _is_optional_type(Optional[list[int] | dict[str, int | None]])
+    assert not _is_optional_type(Union[list[int], dict[str, int | None]])
 
     assert _is_optional_type(Optional[Callable[[int], str]])
-    assert not _is_optional_type(Callable[[int], Optional[str]])
+    assert not _is_optional_type(Callable[[int], str | None])
 
     T = TypeVar("T")
     assert _is_optional_type(Optional[T])
     assert not _is_optional_type(T)
 
-    U = TypeVar("U", bound=Optional[T])  # type: ignore
+    U = TypeVar("U", bound=T | None)  # type: ignore
     assert _is_optional_type(U)
 
 
 def test_is_required():
     class MyBaseTypedDict(TypedDict):
-        val_1: Required[Optional[str]]
+        val_1: Required[str | None]
         val_2: Required[str]
         val_3: NotRequired[str]
-        val_4: NotRequired[Optional[str]]
+        val_4: NotRequired[str | None]
         val_5: Annotated[NotRequired[int], "foo"]
         val_6: NotRequired[Annotated[int, "foo"]]
         val_7: Annotated[Required[int], "foo"]
         val_8: Required[Annotated[int, "foo"]]
-        val_9: Optional[str]
+        val_9: str | None
         val_10: str
 
     annos = MyBaseTypedDict.__annotations__
@@ -218,8 +216,8 @@ def test_is_required():
 
     class MyChildDict(MyBaseTypedDict):
         val_11: int
-        val_11b: Optional[int]
-        val_11c: Union[int, None, str]
+        val_11b: int | None
+        val_11c: int | None | str
 
     class MyGrandChildDict(MyChildDict, total=False):
         val_12: int

libs/prebuilt/langgraph/prebuilt/chat_agent_executor.py

@@ -1,15 +1,11 @@
 import inspect
 import warnings
+from collections.abc import Awaitable, Callable, Sequence
 from typing import (
+    Annotated,
     Any,
-    Awaitable,
-    Callable,
     Literal,
-    Optional,
-    Sequence,
-    Type,
     TypeVar,
-    Union,
     cast,
     get_type_hints,
 )
@@ -46,12 +42,12 @@ from langgraph.types import Checkpointer, Send
 from langgraph.typing import ContextT
 from langgraph.warnings import LangGraphDeprecatedSinceV10
 from pydantic import BaseModel
-from typing_extensions import Annotated, NotRequired, TypedDict, deprecated
+from typing_extensions import NotRequired, TypedDict, deprecated
 
 from langgraph.prebuilt.tool_node import ToolNode
 
-StructuredResponse = Union[dict, BaseModel]
-StructuredResponseSchema = Union[dict, type[BaseModel]]
+StructuredResponse = dict | BaseModel
+StructuredResponseSchema = dict | type[BaseModel]
 
 
 @deprecated(
@@ -112,17 +108,17 @@ with warnings.catch_warnings():
         structured_response: StructuredResponse
 
 
-StateSchema = TypeVar("StateSchema", bound=Union[AgentState, AgentStatePydantic])
-StateSchemaType = Type[StateSchema]
+StateSchema = TypeVar("StateSchema", bound=AgentState | AgentStatePydantic)
+StateSchemaType = type[StateSchema]
 
 PROMPT_RUNNABLE_NAME = "Prompt"
 
-Prompt = Union[
-    SystemMessage,
-    str,
-    Callable[[StateSchema], LanguageModelInput],
-    Runnable[StateSchema, LanguageModelInput],
-]
+Prompt = (
+    SystemMessage
+    | str
+    | Callable[[StateSchema], LanguageModelInput]
+    | Runnable[StateSchema, LanguageModelInput]
+)
 
 
 def _get_state_value(state: StateSchema, key: str, default: Any = None) -> Any:
@@ -133,7 +129,7 @@ def _get_state_value(state: StateSchema, key: str, default: Any = None) -> Any:
     )
 
 
-def _get_prompt_runnable(prompt: Optional[Prompt]) -> Runnable:
+def _get_prompt_runnable(prompt: Prompt | None) -> Runnable:
     prompt_runnable: Runnable
     if prompt is None:
         prompt_runnable = RunnableCallable(
@@ -275,36 +271,34 @@ def _validate_chat_history(
     category=LangGraphDeprecatedSinceV10,
 )
 def create_react_agent(
-    model: Union[
-        str,
-        LanguageModelLike,
-        Callable[[StateSchema, Runtime[ContextT]], BaseChatModel],
-        Callable[[StateSchema, Runtime[ContextT]], Awaitable[BaseChatModel]],
-        Callable[
-            [StateSchema, Runtime[ContextT]], Runnable[LanguageModelInput, BaseMessage]
-        ],
-        Callable[
-            [StateSchema, Runtime[ContextT]],
-            Awaitable[Runnable[LanguageModelInput, BaseMessage]],
-        ],
+    model: str
+    | LanguageModelLike
+    | Callable[[StateSchema, Runtime[ContextT]], BaseChatModel]
+    | Callable[[StateSchema, Runtime[ContextT]], Awaitable[BaseChatModel]]
+    | Callable[
+        [StateSchema, Runtime[ContextT]], Runnable[LanguageModelInput, BaseMessage]
+    ]
+    | Callable[
+        [StateSchema, Runtime[ContextT]],
+        Awaitable[Runnable[LanguageModelInput, BaseMessage]],
     ],
-    tools: Union[Sequence[Union[BaseTool, Callable, dict[str, Any]]], ToolNode],
+    tools: Sequence[BaseTool | Callable | dict[str, Any]] | ToolNode,
     *,
-    prompt: Optional[Prompt] = None,
-    response_format: Optional[
-        Union[StructuredResponseSchema, tuple[str, StructuredResponseSchema]]
-    ] = None,
-    pre_model_hook: Optional[RunnableLike] = None,
-    post_model_hook: Optional[RunnableLike] = None,
-    state_schema: Optional[StateSchemaType] = None,
-    context_schema: Optional[Type[Any]] = None,
-    checkpointer: Optional[Checkpointer] = None,
-    store: Optional[BaseStore] = None,
-    interrupt_before: Optional[list[str]] = None,
-    interrupt_after: Optional[list[str]] = None,
+    prompt: Prompt | None = None,
+    response_format: StructuredResponseSchema
+    | tuple[str, StructuredResponseSchema]
+    | None = None,
+    pre_model_hook: RunnableLike | None = None,
+    post_model_hook: RunnableLike | None = None,
+    state_schema: StateSchemaType | None = None,
+    context_schema: type[Any] | None = None,
+    checkpointer: Checkpointer | None = None,
+    store: BaseStore | None = None,
+    interrupt_before: list[str] | None = None,
+    interrupt_after: list[str] | None = None,
     debug: bool = False,
     version: Literal["v1", "v2"] = "v2",
-    name: Optional[str] = None,
+    name: str | None = None,
     **deprecated_kwargs: Any,
 ) -> CompiledStateGraph:
     """Creates an agent graph that calls tools in a loop until a stopping condition is met.
@@ -572,7 +566,7 @@ def create_react_agent(
                 tool_classes + llm_builtin_tools  # type: ignore[operator]
             )
 
-        static_model: Optional[Runnable] = _get_prompt_runnable(prompt) | model  # type: ignore[operator]
+        static_model: Runnable | None = _get_prompt_runnable(prompt) | model  # type: ignore[operator]
     else:
         # For dynamic models, we'll create the runnable at runtime
         static_model = None
@@ -813,7 +807,7 @@ def create_react_agent(
         )
 
     # Define the function that determines whether to continue or not
-    def should_continue(state: StateSchema) -> Union[str, list[Send]]:
+    def should_continue(state: StateSchema) -> str | list[Send]:
         messages = _get_state_value(state, "messages")
         last_message = messages[-1]
         # If there is no function call, then we finish
@@ -895,7 +889,7 @@ def create_react_agent(
 
     if post_model_hook is not None:
 
-        def post_model_hook_router(state: StateSchema) -> Union[str, list[Send]]:
+        def post_model_hook_router(state: StateSchema) -> str | list[Send]:
             """Route to the next node after post_model_hook.
 
             Routes to one of:

libs/prebuilt/langgraph/prebuilt/interrupt.py

@@ -1,4 +1,4 @@
-from typing import Literal, Optional, Union
+from typing import Literal
 
 from langgraph.warnings import LangGraphDeprecatedSinceV10
 from typing_extensions import TypedDict, deprecated
@@ -81,7 +81,7 @@ class HumanInterrupt(TypedDict):
 
     action_request: ActionRequest
     config: HumanInterruptConfig
-    description: Optional[str]
+    description: str | None
 
 
 class HumanResponse(TypedDict):
@@ -100,4 +100,4 @@ class HumanResponse(TypedDict):
     """
 
     type: Literal["accept", "ignore", "response", "edit"]
-    args: Union[None, str, ActionRequest]
+    args: None | str | ActionRequest

libs/prebuilt/langgraph/prebuilt/tool_node.py

@@ -34,18 +34,18 @@ Typical Usage:
 import asyncio
 import inspect
 import json
+import types
+from collections.abc import Callable, Sequence
 from copy import copy, deepcopy
 from dataclasses import replace
 from typing import (
+    Annotated,
     Any,
-    Callable,
     Literal,
-    Optional,
-    Sequence,
-    Tuple,
-    Type,
     Union,
     cast,
+    get_args,
+    get_origin,
     get_type_hints,
 )
 
@@ -75,7 +75,7 @@ from langgraph.store.base import BaseStore
 from langgraph.types import Command, Send
 from langgraph.warnings import LangGraphDeprecatedSinceV10
 from pydantic import BaseModel
-from typing_extensions import Annotated, deprecated, get_args, get_origin
+from typing_extensions import deprecated
 
 INVALID_TOOL_NAME_ERROR_TEMPLATE = (
     "Error: {requested_tool} is not a valid tool, try one of [{available_tools}]."
@@ -83,7 +83,7 @@ INVALID_TOOL_NAME_ERROR_TEMPLATE = (
 TOOL_CALL_ERROR_TEMPLATE = "Error: {error}\n Please fix your mistakes."
 
 
-def msg_content_output(output: Any) -> Union[str, list[dict]]:
+def msg_content_output(output: Any) -> str | list[dict]:
     """Convert tool output to valid message content format.
 
     LangChain ToolMessages accept either string content or a list of content blocks.
@@ -125,12 +125,7 @@ def msg_content_output(output: Any) -> Union[str, list[dict]]:
 def _handle_tool_error(
     e: Exception,
     *,
-    flag: Union[
-        bool,
-        str,
-        Callable[..., str],
-        tuple[type[Exception], ...],
-    ],
+    flag: bool | str | Callable[..., str] | tuple[type[Exception], ...],
 ) -> str:
     """Generate error message content based on exception handling configuration.
 
@@ -206,7 +201,8 @@ def _infer_handled_types(handler: Callable[..., str]) -> tuple[type[Exception],
         type_hints = get_type_hints(handler)
         if first_param.name in type_hints:
             origin = get_origin(first_param.annotation)
-            if origin is Union:
+            # Handle both typing.Union and types.UnionType (Python 3.10+ X | Y syntax)
+            if origin is Union or origin is types.UnionType:
                 args = get_args(first_param.annotation)
                 if all(issubclass(arg, Exception) for arg in args):
                     return tuple(args)
@@ -299,13 +295,14 @@ class ToolNode(RunnableCallable):
 
     def __init__(
         self,
-        tools: Sequence[Union[BaseTool, Callable]],
+        tools: Sequence[BaseTool | Callable],
         *,
         name: str = "tools",
-        tags: Optional[list[str]] = None,
-        handle_tool_errors: Union[
-            bool, str, Callable[..., str], tuple[type[Exception], ...]
-        ] = True,
+        tags: list[str] | None = None,
+        handle_tool_errors: bool
+        | str
+        | Callable[..., str]
+        | tuple[type[Exception], ...] = True,
         messages_key: str = "messages",
     ) -> None:
         """Initialize the ToolNode with the provided tools and configuration.
@@ -334,8 +331,8 @@ class ToolNode(RunnableCallable):
         """
         super().__init__(self._func, self._afunc, name=name, tags=tags, trace=False)
         self.tools_by_name: dict[str, BaseTool] = {}
-        self.tool_to_state_args: dict[str, dict[str, Optional[str]]] = {}
-        self.tool_to_store_arg: dict[str, Optional[str]] = {}
+        self.tool_to_state_args: dict[str, dict[str, str | None]] = {}
+        self.tool_to_store_arg: dict[str, str | None] = {}
         self.handle_tool_errors = handle_tool_errors
         self.messages_key = messages_key
         for tool_ in tools:
@@ -347,14 +344,10 @@ class ToolNode(RunnableCallable):
 
     def _func(
         self,
-        input: Union[
-            list[AnyMessage],
-            dict[str, Any],
-            BaseModel,
-        ],
+        input: list[AnyMessage] | dict[str, Any] | BaseModel,
         config: RunnableConfig,
         *,
-        store: Optional[BaseStore],
+        store: BaseStore | None,
     ) -> Any:
         tool_calls, input_type = self._parse_input(input, store)
         config_list = get_config_list(config, len(tool_calls))
@@ -368,14 +361,10 @@ class ToolNode(RunnableCallable):
 
     async def _afunc(
         self,
-        input: Union[
-            list[AnyMessage],
-            dict[str, Any],
-            BaseModel,
-        ],
+        input: list[AnyMessage] | dict[str, Any] | BaseModel,
         config: RunnableConfig,
         *,
-        store: Optional[BaseStore],
+        store: BaseStore | None,
     ) -> Any:
         tool_calls, input_type = self._parse_input(input, store)
         outputs = await asyncio.gather(
@@ -388,7 +377,7 @@ class ToolNode(RunnableCallable):
         self,
         outputs: list[ToolMessage],
         input_type: Literal["list", "dict", "tool_calls"],
-    ) -> list[Union[Command, list[ToolMessage], dict[str, list[ToolMessage]]]]:
+    ) -> list[Command | list[ToolMessage] | dict[str, list[ToolMessage]]]:
         # preserve existing behavior for non-command tool outputs for backwards
         # compatibility
         if not any(isinstance(output, Command) for output in outputs):
@@ -402,7 +391,7 @@ class ToolNode(RunnableCallable):
         ] = []
 
         # combine all parent commands with goto into a single parent command
-        parent_command: Optional[Command] = None
+        parent_command: Command | None = None
         for output in outputs:
             if isinstance(output, Command):
                 if (
@@ -475,9 +464,7 @@ class ToolNode(RunnableCallable):
         if isinstance(response, Command):
             return self._validate_tool_command(response, call, input_type)
         elif isinstance(response, ToolMessage):
-            response.content = cast(
-                Union[str, list], msg_content_output(response.content)
-            )
+            response.content = cast(str | list, msg_content_output(response.content))
             return response
         else:
             raise TypeError(
@@ -533,9 +520,7 @@ class ToolNode(RunnableCallable):
         if isinstance(response, Command):
             return self._validate_tool_command(response, call, input_type)
         elif isinstance(response, ToolMessage):
-            response.content = cast(
-                Union[str, list], msg_content_output(response.content)
-            )
+            response.content = cast(str | list, msg_content_output(response.content))
             return response
         else:
             raise TypeError(
@@ -544,13 +529,9 @@ class ToolNode(RunnableCallable):
 
     def _parse_input(
         self,
-        input: Union[
-            list[AnyMessage],
-            dict[str, Any],
-            BaseModel,
-        ],
-        store: Optional[BaseStore],
-    ) -> Tuple[list[ToolCall], Literal["list", "dict", "tool_calls"]]:
+        input: list[AnyMessage] | dict[str, Any] | BaseModel,
+        store: BaseStore | None,
+    ) -> tuple[list[ToolCall], Literal["list", "dict", "tool_calls"]]:
         input_type: Literal["list", "dict", "tool_calls"]
         if isinstance(input, list):
             if isinstance(input[-1], dict) and input[-1].get("type") == "tool_call":
@@ -581,7 +562,7 @@ class ToolNode(RunnableCallable):
         ]
         return tool_calls, input_type
 
-    def _validate_tool_call(self, call: ToolCall) -> Optional[ToolMessage]:
+    def _validate_tool_call(self, call: ToolCall) -> ToolMessage | None:
         if (requested_tool := call["name"]) not in self.tools_by_name:
             content = INVALID_TOOL_NAME_ERROR_TEMPLATE.format(
                 requested_tool=requested_tool,
@@ -596,11 +577,7 @@ class ToolNode(RunnableCallable):
     def _inject_state(
         self,
         tool_call: ToolCall,
-        input: Union[
-            list[AnyMessage],
-            dict[str, Any],
-            BaseModel,
-        ],
+        input: list[AnyMessage] | dict[str, Any] | BaseModel,
     ) -> ToolCall:
         state_args = self.tool_to_state_args[tool_call["name"]]
         if state_args and isinstance(input, list):
@@ -638,9 +615,7 @@ class ToolNode(RunnableCallable):
         }
         return tool_call
 
-    def _inject_store(
-        self, tool_call: ToolCall, store: Optional[BaseStore]
-    ) -> ToolCall:
+    def _inject_store(self, tool_call: ToolCall, store: BaseStore | None) -> ToolCall:
         store_arg = self.tool_to_store_arg[tool_call["name"]]
         if not store_arg:
             return tool_call
@@ -660,12 +635,8 @@ class ToolNode(RunnableCallable):
     def inject_tool_args(
         self,
         tool_call: ToolCall,
-        input: Union[
-            list[AnyMessage],
-            dict[str, Any],
-            BaseModel,
-        ],
-        store: Optional[BaseStore],
+        input: list[AnyMessage] | dict[str, Any] | BaseModel,
+        store: BaseStore | None,
     ) -> ToolCall:
         """Inject graph state and store into tool call arguments.
 
@@ -771,7 +742,7 @@ class ToolNode(RunnableCallable):
 
 
 def tools_condition(
-    state: Union[list[AnyMessage], dict[str, Any], BaseModel],
+    state: list[AnyMessage] | dict[str, Any] | BaseModel,
     messages_key: str = "messages",
 ) -> Literal["tools", "__end__"]:
     """Conditional routing function for tool-calling workflows.
@@ -915,7 +886,7 @@ class InjectedState(InjectedToolArg):
           tool execution
     """  # noqa: E501
 
-    def __init__(self, field: Optional[str] = None) -> None:
+    def __init__(self, field: str | None = None) -> None:
         """Initialize InjectedState annotation.
 
         Args:
@@ -1008,7 +979,7 @@ class InjectedStore(InjectedToolArg):
 
 
 def _is_injection(
-    type_arg: Any, injection_type: Union[Type[InjectedState], Type[InjectedStore]]
+    type_arg: Any, injection_type: type[InjectedState] | type[InjectedStore]
 ) -> bool:
     """Check if a type argument represents an injection annotation.
 
@@ -1033,7 +1004,7 @@ def _is_injection(
     return False
 
 
-def _get_state_args(tool: BaseTool) -> dict[str, Optional[str]]:
+def _get_state_args(tool: BaseTool) -> dict[str, str | None]:
     """Extract state injection mappings from tool annotations.
 
     This function analyzes a tool's input schema to identify arguments that should
@@ -1072,7 +1043,7 @@ def _get_state_args(tool: BaseTool) -> dict[str, Optional[str]]:
     return tool_args_to_state_fields
 
 
-def _get_store_arg(tool: BaseTool) -> Optional[str]:
+def _get_store_arg(tool: BaseTool) -> str | None:
     """Extract store injection argument from tool annotations.
 
     This function analyzes a tool's input schema to identify the argument that

libs/prebuilt/langgraph/prebuilt/tool_validator.py

@@ -5,15 +5,9 @@ returns a ToolMessage with the error message. The ValidationNode can be used in
 StateGraph with a "messages" key. If multiple tool calls are requested, they will be run in parallel.
 """
 
+from collections.abc import Callable, Sequence
 from typing import (
     Any,
-    Callable,
-    Dict,
-    Optional,
-    Sequence,
-    Tuple,
-    Type,
-    Union,
     cast,
 )
 
@@ -40,7 +34,7 @@ from typing_extensions import deprecated
 def _default_format_error(
     error: BaseException,
     call: ToolCall,
-    schema: Union[Type[BaseModel], Type[BaseModelV1]],
+    schema: type[BaseModel] | type[BaseModelV1],
 ) -> str:
     """Default error formatting function."""
     return f"{repr(error)}\n\nRespond after fixing all validation errors."
@@ -120,13 +114,12 @@ class ValidationNode(RunnableCallable):
 
     def __init__(
         self,
-        schemas: Sequence[Union[BaseTool, Type[BaseModel], Callable]],
+        schemas: Sequence[BaseTool | type[BaseModel] | Callable],
         *,
-        format_error: Optional[
-            Callable[[BaseException, ToolCall, Type[BaseModel]], str]
-        ] = None,
+        format_error: Callable[[BaseException, ToolCall, type[BaseModel]], str]
+        | None = None,
         name: str = "validation",
-        tags: Optional[list[str]] = None,
+        tags: list[str] | None = None,
     ) -> None:
         """Initialize the ValidationNode.
 
@@ -144,7 +137,7 @@ class ValidationNode(RunnableCallable):
         """
         super().__init__(self._func, None, name=name, tags=tags, trace=False)
         self._format_error = format_error or _default_format_error
-        self.schemas_by_name: Dict[str, Type[BaseModel]] = {}
+        self.schemas_by_name: dict[str, type[BaseModel]] = {}
         for schema in schemas:
             if isinstance(schema, BaseTool):
                 if schema.args_schema is None:
@@ -162,7 +155,7 @@ class ValidationNode(RunnableCallable):
             elif isinstance(schema, type) and issubclass(
                 schema, (BaseModel, BaseModelV1)
             ):
-                self.schemas_by_name[schema.__name__] = cast(Type[BaseModel], schema)
+                self.schemas_by_name[schema.__name__] = cast(type[BaseModel], schema)
             elif callable(schema):
                 base_model = create_schema_from_function("Validation", schema)
                 self.schemas_by_name[schema.__name__] = base_model
@@ -172,8 +165,8 @@ class ValidationNode(RunnableCallable):
                 )
 
     def _get_message(
-        self, input: Union[list[AnyMessage], dict[str, Any]]
-    ) -> Tuple[str, AIMessage]:
+        self, input: list[AnyMessage] | dict[str, Any]
+    ) -> tuple[str, AIMessage]:
         """Extract the last AIMessage from the input."""
         if isinstance(input, list):
             output_type = "list"
@@ -188,7 +181,7 @@ class ValidationNode(RunnableCallable):
         return output_type, message
 
     def _func(
-        self, input: Union[list[AnyMessage], dict[str, Any]], config: RunnableConfig
+        self, input: list[AnyMessage] | dict[str, Any], config: RunnableConfig
     ) -> Any:
         """Validate and run tool calls synchronously."""
         output_type, message = self._get_message(input)

libs/prebuilt/pyproject.toml

@@ -53,8 +53,9 @@ addopts = "--strict-markers --strict-config --durations=5 -vv"
 asyncio_mode = "auto"
 
 [tool.ruff]
-lint.select = [ "E", "F", "I", "TID251" ]
+lint.select = [ "E", "F", "I", "TID251", "UP" ]
 lint.ignore = [ "E501" ]
+target-version = "py310"
 
 [tool.pytest-watcher]
 now = true

libs/prebuilt/tests/any_str.py

@@ -1,9 +1,8 @@
 import re
-from typing import Union
 
 
 class AnyStr(str):
-    def __init__(self, prefix: Union[str, re.Pattern] = "") -> None:
+    def __init__(self, prefix: str | re.Pattern = "") -> None:
         super().__init__()
         self.prefix = prefix
 

libs/prebuilt/tests/conftest_checkpointer.py

@@ -1,8 +1,6 @@
-import sys
 from contextlib import asynccontextmanager, contextmanager
 from uuid import uuid4
 
-import pytest
 from langgraph.checkpoint.postgres import PostgresSaver
 from langgraph.checkpoint.postgres.aio import AsyncPostgresSaver
 from langgraph.checkpoint.sqlite import SqliteSaver
@@ -95,8 +93,6 @@ async def _checkpointer_sqlite_aio():
 
 @asynccontextmanager
 async def _checkpointer_postgres_aio():
-    if sys.version_info < (3, 10):
-        pytest.skip("Async Postgres tests require Python 3.10+")
     database = f"test_{uuid4().hex[:16]}"
     # create unique db
     async with await AsyncConnection.connect(
@@ -120,8 +116,6 @@ async def _checkpointer_postgres_aio():
 
 @asynccontextmanager
 async def _checkpointer_postgres_aio_pipe():
-    if sys.version_info < (3, 10):
-        pytest.skip("Async Postgres tests require Python 3.10+")
     database = f"test_{uuid4().hex[:16]}"
     # create unique db
     async with await AsyncConnection.connect(
@@ -148,8 +142,6 @@ async def _checkpointer_postgres_aio_pipe():
 
 @asynccontextmanager
 async def _checkpointer_postgres_aio_pool():
-    if sys.version_info < (3, 10):
-        pytest.skip("Async Postgres tests require Python 3.10+")
     database = f"test_{uuid4().hex[:16]}"
     # create unique db
     async with await AsyncConnection.connect(