diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 4df3c69d1..f7f1b8bbd 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -31,7 +31,6 @@ jobs:
             "libs/cli",
             "libs/checkpoint",
             "libs/checkpoint-sqlite",
-            "libs/checkpoint-duckdb",
             "libs/checkpoint-postgres",
             "libs/scheduler-kafka",
           ]
@@ -44,12 +43,12 @@ jobs:
     name: cd ${{ matrix.working-directory }}
     strategy:
       matrix:
-        working-directory: [
+        working-directory:
+          [
             "libs/cli",
             "libs/checkpoint",
             "libs/checkpoint-sqlite",
-            "libs/checkpoint-duckdb",
-            "libs/checkpoint-postgres"
+            "libs/checkpoint-postgres",
           ]
     uses: ./.github/workflows/_test.yml
     with:
@@ -76,7 +75,7 @@ jobs:
       - name: Set up Python
         uses: actions/setup-python@v5
         with:
-          python-version: '3.11'
+          python-version: "3.11"
       - name: Run check_sdk_methods script
         run: python .github/scripts/check_sdk_methods.py
 
@@ -133,7 +132,16 @@ jobs:
 
   ci_success:
     name: "CI Success"
-    needs: [lint, lint-js, test, test-langgraph, test-scheduler-kafka, integration-test, test-js]
+    needs:
+      [
+        lint,
+        lint-js,
+        test,
+        test-langgraph,
+        test-scheduler-kafka,
+        integration-test,
+        test-js,
+      ]
     if: |
       always()
     runs-on: ubuntu-latest
diff --git a/libs/checkpoint-duckdb/Makefile b/libs/checkpoint-duckdb/Makefile
deleted file mode 100644
index ddf087ef5..000000000
--- a/libs/checkpoint-duckdb/Makefile
+++ /dev/null
@@ -1,35 +0,0 @@
-.PHONY: test test_watch lint format
-
-######################
-# TESTING AND COVERAGE
-######################
-
-test:
-	poetry run pytest tests
-
-test_watch:
-	poetry run ptw .
-
-######################
-# LINTING AND FORMATTING
-######################
-
-# Define a variable for Python and notebook files.
-PYTHON_FILES=.
-MYPY_CACHE=.mypy_cache
-lint format: PYTHON_FILES=.
-lint_diff format_diff: PYTHON_FILES=$(shell git diff --name-only --relative --diff-filter=d main . | grep -E '\.py$$|\.ipynb$$')
-lint_package: PYTHON_FILES=langgraph
-lint_tests: PYTHON_FILES=tests
-lint_tests: MYPY_CACHE=.mypy_cache_test
-
-lint lint_diff lint_package lint_tests:
-	poetry run ruff check .
-	[ "$(PYTHON_FILES)" = "" ] || poetry run ruff format $(PYTHON_FILES) --diff
-	[ "$(PYTHON_FILES)" = "" ] || poetry run ruff check --select I $(PYTHON_FILES)
-	[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE)
-	[ "$(PYTHON_FILES)" = "" ] || poetry run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
-
-format format_diff:
-	poetry run ruff format $(PYTHON_FILES)
-	poetry run ruff check --select I --fix $(PYTHON_FILES)
diff --git a/libs/checkpoint-duckdb/README.md b/libs/checkpoint-duckdb/README.md
deleted file mode 100644
index 36ce673d9..000000000
--- a/libs/checkpoint-duckdb/README.md
+++ /dev/null
@@ -1,95 +0,0 @@
-# LangGraph Checkpoint DuckDB
-
-Implementation of LangGraph CheckpointSaver that uses DuckDB.
-
-## Usage
-
-> [!IMPORTANT]
-> When using DuckDB checkpointers for the first time, make sure to call `.setup()` method on them to create required tables. See example below.
-
-```python
-from langgraph.checkpoint.duckdb import DuckDBSaver
-
-write_config = {"configurable": {"thread_id": "1", "checkpoint_ns": ""}}
-read_config = {"configurable": {"thread_id": "1"}}
-
-with DuckDBSaver.from_conn_string(":memory:") as checkpointer:
-    # call .setup() the first time you're using the checkpointer
-    checkpointer.setup()
-    checkpoint = {
-        "v": 1,
-        "ts": "2024-07-31T20:14:19.804150+00:00",
-        "id": "1ef4f797-8335-6428-8001-8a1503f9b875",
-        "channel_values": {
-            "my_key": "meow",
-            "node": "node"
-        },
-        "channel_versions": {
-            "__start__": 2,
-            "my_key": 3,
-            "start:node": 3,
-            "node": 3
-        },
-        "versions_seen": {
-            "__input__": {},
-            "__start__": {
-            "__start__": 1
-            },
-            "node": {
-            "start:node": 2
-            }
-        },
-        "pending_sends": [],
-    }
-
-    # store checkpoint
-    checkpointer.put(write_config, checkpoint, {}, {})
-
-    # load checkpoint
-    checkpointer.get(read_config)
-
-    # list checkpoints
-    list(checkpointer.list(read_config))
-```
-
-### Async
-
-```python
-from langgraph.checkpoint.duckdb.aio import AsyncDuckDBSaver
-
-async with AsyncDuckDBSaver.from_conn_string(":memory:") as checkpointer:
-    checkpoint = {
-        "v": 1,
-        "ts": "2024-07-31T20:14:19.804150+00:00",
-        "id": "1ef4f797-8335-6428-8001-8a1503f9b875",
-        "channel_values": {
-            "my_key": "meow",
-            "node": "node"
-        },
-        "channel_versions": {
-            "__start__": 2,
-            "my_key": 3,
-            "start:node": 3,
-            "node": 3
-        },
-        "versions_seen": {
-            "__input__": {},
-            "__start__": {
-            "__start__": 1
-            },
-            "node": {
-            "start:node": 2
-            }
-        },
-        "pending_sends": [],
-    }
-
-    # store checkpoint
-    await checkpointer.aput(write_config, checkpoint, {}, {})
-
-    # load checkpoint
-    await checkpointer.aget(read_config)
-
-    # list checkpoints
-    [c async for c in checkpointer.alist(read_config)]
-```
diff --git a/libs/checkpoint-duckdb/langgraph/checkpoint/duckdb/__init__.py b/libs/checkpoint-duckdb/langgraph/checkpoint/duckdb/__init__.py
deleted file mode 100644
index 7a873ab4b..000000000
--- a/libs/checkpoint-duckdb/langgraph/checkpoint/duckdb/__init__.py
+++ /dev/null
@@ -1,356 +0,0 @@
-import threading
-from contextlib import contextmanager
-from typing import Any, Iterator, Optional, Sequence
-
-from langchain_core.runnables import RunnableConfig
-
-import duckdb
-from langgraph.checkpoint.base import (
-    WRITES_IDX_MAP,
-    ChannelVersions,
-    Checkpoint,
-    CheckpointMetadata,
-    CheckpointTuple,
-    get_checkpoint_id,
-)
-from langgraph.checkpoint.duckdb.base import BaseDuckDBSaver
-from langgraph.checkpoint.serde.base import SerializerProtocol
-
-
-class DuckDBSaver(BaseDuckDBSaver):
-    lock: threading.Lock
-
-    def __init__(
-        self,
-        conn: duckdb.DuckDBPyConnection,
-        serde: Optional[SerializerProtocol] = None,
-    ) -> None:
-        super().__init__(serde=serde)
-
-        self.conn = conn
-        self.lock = threading.Lock()
-
-    @classmethod
-    @contextmanager
-    def from_conn_string(cls, conn_string: str) -> Iterator["DuckDBSaver"]:
-        """Create a new DuckDBSaver instance from a connection string.
-
-        Args:
-            conn_string (str): The DuckDB connection info string.
-
-        Returns:
-            DuckDBSaver: A new DuckDBSaver instance.
-        """
-        with duckdb.connect(conn_string) as conn:
-            yield cls(conn)
-
-    def setup(self) -> None:
-        """Set up the checkpoint database asynchronously.
-
-        This method creates the necessary tables in the DuckDB database if they don't
-        already exist and runs database migrations. It MUST be called directly by the user
-        the first time checkpointer is used.
-        """
-        with self.lock, self.conn.cursor() as cur:
-            try:
-                row = cur.execute(
-                    "SELECT v FROM checkpoint_migrations ORDER BY v DESC LIMIT 1"
-                ).fetchone()
-                if row is None:
-                    version = -1
-                else:
-                    version = row[0]
-            except duckdb.CatalogException:
-                version = -1
-            for v, migration in zip(
-                range(version + 1, len(self.MIGRATIONS)),
-                self.MIGRATIONS[version + 1 :],
-            ):
-                cur.execute(migration)
-                cur.execute("INSERT INTO checkpoint_migrations (v) VALUES (?)", [v])
-
-    def list(
-        self,
-        config: Optional[RunnableConfig],
-        *,
-        filter: Optional[dict[str, Any]] = None,
-        before: Optional[RunnableConfig] = None,
-        limit: Optional[int] = None,
-    ) -> Iterator[CheckpointTuple]:
-        """List checkpoints from the database.
-
-        This method retrieves a list of checkpoint tuples from the DuckDB database based
-        on the provided config. The checkpoints are ordered by checkpoint ID in descending order (newest first).
-
-        Args:
-            config (RunnableConfig): The config to use for listing the checkpoints.
-            filter (Optional[Dict[str, Any]]): Additional filtering criteria for metadata. Defaults to None.
-            before (Optional[RunnableConfig]): If provided, only checkpoints before the specified checkpoint ID are returned. Defaults to None.
-            limit (Optional[int]): The maximum number of checkpoints to return. Defaults to None.
-
-        Yields:
-            Iterator[CheckpointTuple]: An iterator of checkpoint tuples.
-
-        Examples:
-            >>> from langgraph.checkpoint.duckdb import DuckDBSaver
-            >>> with DuckDBSaver.from_conn_string(":memory:") as memory:
-            ... # Run a graph, then list the checkpoints
-            >>>     config = {"configurable": {"thread_id": "1"}}
-            >>>     checkpoints = list(memory.list(config, limit=2))
-            >>> print(checkpoints)
-            [CheckpointTuple(...), CheckpointTuple(...)]
-
-            >>> config = {"configurable": {"thread_id": "1"}}
-            >>> before = {"configurable": {"checkpoint_id": "1ef4f797-8335-6428-8001-8a1503f9b875"}}
-            >>> with DuckDBSaver.from_conn_string(":memory:") as memory:
-            ... # Run a graph, then list the checkpoints
-            >>>     checkpoints = list(memory.list(config, before=before))
-            >>> print(checkpoints)
-            [CheckpointTuple(...), ...]
-        """
-        where, args = self._search_where(config, filter, before)
-        query = self.SELECT_SQL + where + " ORDER BY checkpoint_id DESC"
-        if limit:
-            query += f" LIMIT {limit}"
-        # if we change this to use .stream() we need to make sure to close the cursor
-        with self._cursor() as cur:
-            cur.execute(query, args)
-            for value in cur.fetchall():
-                (
-                    thread_id,
-                    checkpoint,
-                    checkpoint_ns,
-                    checkpoint_id,
-                    parent_checkpoint_id,
-                    metadata,
-                    channel_values,
-                    pending_writes,
-                    pending_sends,
-                ) = value
-                yield CheckpointTuple(
-                    {
-                        "configurable": {
-                            "thread_id": thread_id,
-                            "checkpoint_ns": checkpoint_ns,
-                            "checkpoint_id": checkpoint_id,
-                        }
-                    },
-                    self._load_checkpoint(
-                        checkpoint,
-                        channel_values,
-                        pending_sends,
-                    ),
-                    self._load_metadata(metadata),
-                    (
-                        {
-                            "configurable": {
-                                "thread_id": thread_id,
-                                "checkpoint_ns": checkpoint_ns,
-                                "checkpoint_id": parent_checkpoint_id,
-                            }
-                        }
-                        if parent_checkpoint_id
-                        else None
-                    ),
-                    self._load_writes(pending_writes),
-                )
-
-    def get_tuple(self, config: RunnableConfig) -> Optional[CheckpointTuple]:
-        """Get a checkpoint tuple from the database.
-
-        This method retrieves a checkpoint tuple from the DuckDB database based on the
-        provided config. If the config contains a "checkpoint_id" key, the checkpoint with
-        the matching thread ID and timestamp is retrieved. Otherwise, the latest checkpoint
-        for the given thread ID is retrieved.
-
-        Args:
-            config (RunnableConfig): The config to use for retrieving the checkpoint.
-
-        Returns:
-            Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
-
-        Examples:
-
-            Basic:
-            >>> config = {"configurable": {"thread_id": "1"}}
-            >>> checkpoint_tuple = memory.get_tuple(config)
-            >>> print(checkpoint_tuple)
-            CheckpointTuple(...)
-
-            With timestamp:
-
-            >>> config = {
-            ...    "configurable": {
-            ...        "thread_id": "1",
-            ...        "checkpoint_ns": "",
-            ...        "checkpoint_id": "1ef4f797-8335-6428-8001-8a1503f9b875",
-            ...    }
-            ... }
-            >>> checkpoint_tuple = memory.get_tuple(config)
-            >>> print(checkpoint_tuple)
-            CheckpointTuple(...)
-        """  # noqa
-        thread_id = config["configurable"]["thread_id"]
-        checkpoint_id = get_checkpoint_id(config)
-        checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
-        if checkpoint_id:
-            args: tuple[Any, ...] = (thread_id, checkpoint_ns, checkpoint_id)
-            where = "WHERE thread_id = ? AND checkpoint_ns = ? AND checkpoint_id = ?"
-        else:
-            args = (thread_id, checkpoint_ns)
-            where = "WHERE thread_id = ? AND checkpoint_ns = ? ORDER BY checkpoint_id DESC LIMIT 1"
-
-        with self._cursor() as cur:
-            cur.execute(
-                self.SELECT_SQL + where,
-                args,
-            )
-
-            value = cur.fetchone()
-            if value:
-                (
-                    thread_id,
-                    checkpoint,
-                    checkpoint_ns,
-                    checkpoint_id,
-                    parent_checkpoint_id,
-                    metadata,
-                    channel_values,
-                    pending_writes,
-                    pending_sends,
-                ) = value
-                return CheckpointTuple(
-                    {
-                        "configurable": {
-                            "thread_id": thread_id,
-                            "checkpoint_ns": checkpoint_ns,
-                            "checkpoint_id": checkpoint_id,
-                        }
-                    },
-                    self._load_checkpoint(
-                        checkpoint,
-                        channel_values,
-                        pending_sends,
-                    ),
-                    self._load_metadata(metadata),
-                    (
-                        {
-                            "configurable": {
-                                "thread_id": thread_id,
-                                "checkpoint_ns": checkpoint_ns,
-                                "checkpoint_id": parent_checkpoint_id,
-                            }
-                        }
-                        if parent_checkpoint_id
-                        else None
-                    ),
-                    self._load_writes(pending_writes),
-                )
-
-    def put(
-        self,
-        config: RunnableConfig,
-        checkpoint: Checkpoint,
-        metadata: CheckpointMetadata,
-        new_versions: ChannelVersions,
-    ) -> RunnableConfig:
-        """Save a checkpoint to the database.
-
-        This method saves a checkpoint to the DuckDB database. The checkpoint is associated
-        with the provided config and its parent config (if any).
-
-        Args:
-            config (RunnableConfig): The config to associate with the checkpoint.
-            checkpoint (Checkpoint): The checkpoint to save.
-            metadata (CheckpointMetadata): Additional metadata to save with the checkpoint.
-            new_versions (ChannelVersions): New channel versions as of this write.
-
-        Returns:
-            RunnableConfig: Updated configuration after storing the checkpoint.
-
-        Examples:
-
-            >>> from langgraph.checkpoint.duckdb import DuckDBSaver
-            >>> with DuckDBSaver.from_conn_string(":memory:") as memory:
-            >>>     config = {"configurable": {"thread_id": "1", "checkpoint_ns": ""}}
-            >>>     checkpoint = {"ts": "2024-05-04T06:32:42.235444+00:00", "id": "1ef4f797-8335-6428-8001-8a1503f9b875", "channel_values": {"key": "value"}}
-            >>>     saved_config = memory.put(config, checkpoint, {"source": "input", "step": 1, "writes": {"key": "value"}}, {})
-            >>> print(saved_config)
-            {'configurable': {'thread_id': '1', 'checkpoint_ns': '', 'checkpoint_id': '1ef4f797-8335-6428-8001-8a1503f9b875'}}
-        """
-        configurable = config["configurable"].copy()
-        thread_id = configurable.pop("thread_id")
-        checkpoint_ns = configurable.pop("checkpoint_ns")
-        checkpoint_id = configurable.pop(
-            "checkpoint_id", configurable.pop("thread_ts", None)
-        )
-
-        copy = checkpoint.copy()
-        next_config = {
-            "configurable": {
-                "thread_id": thread_id,
-                "checkpoint_ns": checkpoint_ns,
-                "checkpoint_id": checkpoint["id"],
-            }
-        }
-        checkpoint_blobs = self._dump_blobs(
-            thread_id,
-            checkpoint_ns,
-            copy.pop("channel_values"),  # type: ignore[misc]
-            new_versions,
-        )
-        with self._cursor() as cur:
-            if checkpoint_blobs:
-                cur.executemany(self.UPSERT_CHECKPOINT_BLOBS_SQL, checkpoint_blobs)
-            cur.execute(
-                self.UPSERT_CHECKPOINTS_SQL,
-                (
-                    thread_id,
-                    checkpoint_ns,
-                    checkpoint["id"],
-                    checkpoint_id,
-                    self._dump_checkpoint(copy),
-                    self._dump_metadata(metadata),
-                ),
-            )
-        return next_config
-
-    def put_writes(
-        self,
-        config: RunnableConfig,
-        writes: Sequence[tuple[str, Any]],
-        task_id: str,
-    ) -> None:
-        """Store intermediate writes linked to a checkpoint.
-
-        This method saves intermediate writes associated with a checkpoint to the DuckDB database.
-
-        Args:
-            config (RunnableConfig): Configuration of the related checkpoint.
-            writes (List[Tuple[str, Any]]): List of writes to store.
-            task_id (str): Identifier for the task creating the writes.
-        """
-        query = (
-            self.UPSERT_CHECKPOINT_WRITES_SQL
-            if all(w[0] in WRITES_IDX_MAP for w in writes)
-            else self.INSERT_CHECKPOINT_WRITES_SQL
-        )
-        with self._cursor() as cur:
-            cur.executemany(
-                query,
-                self._dump_writes(
-                    config["configurable"]["thread_id"],
-                    config["configurable"]["checkpoint_ns"],
-                    config["configurable"]["checkpoint_id"],
-                    task_id,
-                    writes,
-                ),
-            )
-
-    @contextmanager
-    def _cursor(self) -> Iterator[duckdb.DuckDBPyConnection]:
-        with self.lock, self.conn.cursor() as cur:
-            yield cur
-
-
-__all__ = ["DuckDBSaver", "Conn"]
diff --git a/libs/checkpoint-duckdb/langgraph/checkpoint/duckdb/aio.py b/libs/checkpoint-duckdb/langgraph/checkpoint/duckdb/aio.py
deleted file mode 100644
index bf48b0e0a..000000000
--- a/libs/checkpoint-duckdb/langgraph/checkpoint/duckdb/aio.py
+++ /dev/null
@@ -1,443 +0,0 @@
-import asyncio
-from contextlib import asynccontextmanager
-from typing import Any, AsyncIterator, Iterator, Optional, Sequence
-
-from langchain_core.runnables import RunnableConfig
-
-import duckdb
-from langgraph.checkpoint.base import (
-    WRITES_IDX_MAP,
-    ChannelVersions,
-    Checkpoint,
-    CheckpointMetadata,
-    CheckpointTuple,
-    get_checkpoint_id,
-)
-from langgraph.checkpoint.duckdb.base import BaseDuckDBSaver
-from langgraph.checkpoint.serde.base import SerializerProtocol
-
-
-class AsyncDuckDBSaver(BaseDuckDBSaver):
-    lock: asyncio.Lock
-
-    def __init__(
-        self,
-        conn: duckdb.DuckDBPyConnection,
-        serde: Optional[SerializerProtocol] = None,
-    ) -> None:
-        super().__init__(serde=serde)
-        self.conn = conn
-        self.lock = asyncio.Lock()
-        self.loop = asyncio.get_running_loop()
-
-    @classmethod
-    @asynccontextmanager
-    async def from_conn_string(
-        cls,
-        conn_string: str,
-    ) -> AsyncIterator["AsyncDuckDBSaver"]:
-        """Create a new AsyncDuckDBSaver instance from a connection string.
-
-        Args:
-            conn_string (str): The DuckDB connection info string.
-
-        Returns:
-            AsyncDuckDBSaver: A new AsyncDuckDBSaver instance.
-        """
-        with duckdb.connect(conn_string) as conn:
-            yield cls(conn)
-
-    async def setup(self) -> None:
-        """Set up the checkpoint database asynchronously.
-
-        This method creates the necessary tables in the DuckDB database if they don't
-        already exist and runs database migrations. It MUST be called directly by the user
-        the first time checkpointer is used.
-        """
-        async with self.lock:
-            with self.conn.cursor() as cur:
-                try:
-                    await asyncio.to_thread(
-                        cur.execute,
-                        "SELECT v FROM checkpoint_migrations ORDER BY v DESC LIMIT 1",
-                    )
-                    row = await asyncio.to_thread(cur.fetchone)
-                    if row is None:
-                        version = -1
-                    else:
-                        version = row[0]
-                except duckdb.CatalogException:
-                    version = -1
-                for v, migration in zip(
-                    range(version + 1, len(self.MIGRATIONS)),
-                    self.MIGRATIONS[version + 1 :],
-                ):
-                    await asyncio.to_thread(cur.execute, migration)
-                    await asyncio.to_thread(
-                        cur.execute,
-                        "INSERT INTO checkpoint_migrations (v) VALUES (?)",
-                        [v],
-                    )
-
-    async def alist(
-        self,
-        config: Optional[RunnableConfig],
-        *,
-        filter: Optional[dict[str, Any]] = None,
-        before: Optional[RunnableConfig] = None,
-        limit: Optional[int] = None,
-    ) -> AsyncIterator[CheckpointTuple]:
-        """List checkpoints from the database asynchronously.
-
-        This method retrieves a list of checkpoint tuples from the DuckDB database based
-        on the provided config. The checkpoints are ordered by checkpoint ID in descending order (newest first).
-
-        Args:
-            config (Optional[RunnableConfig]): Base configuration for filtering checkpoints.
-            filter (Optional[Dict[str, Any]]): Additional filtering criteria for metadata.
-            before (Optional[RunnableConfig]): If provided, only checkpoints before the specified checkpoint ID are returned. Defaults to None.
-            limit (Optional[int]): Maximum number of checkpoints to return.
-
-        Yields:
-            AsyncIterator[CheckpointTuple]: An asynchronous iterator of matching checkpoint tuples.
-        """
-        where, args = self._search_where(config, filter, before)
-        query = self.SELECT_SQL + where + " ORDER BY checkpoint_id DESC"
-        if limit:
-            query += f" LIMIT {limit}"
-        # if we change this to use .stream() we need to make sure to close the cursor
-        async with self._cursor() as cur:
-            await asyncio.to_thread(cur.execute, query, args)
-            results = await asyncio.to_thread(cur.fetchall)
-            for value in results:
-                (
-                    thread_id,
-                    checkpoint,
-                    checkpoint_ns,
-                    checkpoint_id,
-                    parent_checkpoint_id,
-                    metadata,
-                    channel_values,
-                    pending_writes,
-                    pending_sends,
-                ) = value
-                yield CheckpointTuple(
-                    {
-                        "configurable": {
-                            "thread_id": thread_id,
-                            "checkpoint_ns": checkpoint_ns,
-                            "checkpoint_id": checkpoint_id,
-                        }
-                    },
-                    await asyncio.to_thread(
-                        self._load_checkpoint,
-                        checkpoint,
-                        channel_values,
-                        pending_sends,
-                    ),
-                    self._load_metadata(metadata),
-                    (
-                        {
-                            "configurable": {
-                                "thread_id": thread_id,
-                                "checkpoint_ns": checkpoint_ns,
-                                "checkpoint_id": parent_checkpoint_id,
-                            }
-                        }
-                        if parent_checkpoint_id
-                        else None
-                    ),
-                    await asyncio.to_thread(self._load_writes, pending_writes),
-                )
-
-    async def aget_tuple(self, config: RunnableConfig) -> Optional[CheckpointTuple]:
-        """Get a checkpoint tuple from the database asynchronously.
-
-        This method retrieves a checkpoint tuple from the DuckDBdatabase based on the
-        provided config. If the config contains a "checkpoint_id" key, the checkpoint with
-        the matching thread ID and "checkpoint_id" is retrieved. Otherwise, the latest checkpoint
-        for the given thread ID is retrieved.
-
-        Args:
-            config (RunnableConfig): The config to use for retrieving the checkpoint.
-
-        Returns:
-            Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
-        """
-        thread_id = config["configurable"]["thread_id"]
-        checkpoint_id = get_checkpoint_id(config)
-        checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
-        if checkpoint_id:
-            args: tuple[Any, ...] = (thread_id, checkpoint_ns, checkpoint_id)
-            where = "WHERE thread_id = ? AND checkpoint_ns = ? AND checkpoint_id = ?"
-        else:
-            args = (thread_id, checkpoint_ns)
-            where = "WHERE thread_id = ? AND checkpoint_ns = ? ORDER BY checkpoint_id DESC LIMIT 1"
-
-        async with self._cursor() as cur:
-            await asyncio.to_thread(
-                cur.execute,
-                self.SELECT_SQL + where,
-                args,
-            )
-
-            value = await asyncio.to_thread(cur.fetchone)
-            if value:
-                (
-                    thread_id,
-                    checkpoint,
-                    checkpoint_ns,
-                    checkpoint_id,
-                    parent_checkpoint_id,
-                    metadata,
-                    channel_values,
-                    pending_writes,
-                    pending_sends,
-                ) = value
-                return CheckpointTuple(
-                    {
-                        "configurable": {
-                            "thread_id": thread_id,
-                            "checkpoint_ns": checkpoint_ns,
-                            "checkpoint_id": checkpoint_id,
-                        }
-                    },
-                    await asyncio.to_thread(
-                        self._load_checkpoint,
-                        checkpoint,
-                        channel_values,
-                        pending_sends,
-                    ),
-                    self._load_metadata(metadata),
-                    (
-                        {
-                            "configurable": {
-                                "thread_id": thread_id,
-                                "checkpoint_ns": checkpoint_ns,
-                                "checkpoint_id": parent_checkpoint_id,
-                            }
-                        }
-                        if parent_checkpoint_id
-                        else None
-                    ),
-                    await asyncio.to_thread(self._load_writes, pending_writes),
-                )
-
-    async def aput(
-        self,
-        config: RunnableConfig,
-        checkpoint: Checkpoint,
-        metadata: CheckpointMetadata,
-        new_versions: ChannelVersions,
-    ) -> RunnableConfig:
-        """Save a checkpoint to the database asynchronously.
-
-        This method saves a checkpoint to the DuckDB database. The checkpoint is associated
-        with the provided config and its parent config (if any).
-
-        Args:
-            config (RunnableConfig): The config to associate with the checkpoint.
-            checkpoint (Checkpoint): The checkpoint to save.
-            metadata (CheckpointMetadata): Additional metadata to save with the checkpoint.
-            new_versions (ChannelVersions): New channel versions as of this write.
-
-        Returns:
-            RunnableConfig: Updated configuration after storing the checkpoint.
-        """
-        configurable = config["configurable"].copy()
-        thread_id = configurable.pop("thread_id")
-        checkpoint_ns = configurable.pop("checkpoint_ns")
-        checkpoint_id = configurable.pop(
-            "checkpoint_id", configurable.pop("thread_ts", None)
-        )
-
-        copy = checkpoint.copy()
-        next_config = {
-            "configurable": {
-                "thread_id": thread_id,
-                "checkpoint_ns": checkpoint_ns,
-                "checkpoint_id": checkpoint["id"],
-            }
-        }
-
-        checkpoint_blobs = await asyncio.to_thread(
-            self._dump_blobs,
-            thread_id,
-            checkpoint_ns,
-            copy.pop("channel_values"),  # type: ignore[misc]
-            new_versions,
-        )
-        async with self._cursor() as cur:
-            if checkpoint_blobs:
-                await asyncio.to_thread(
-                    cur.executemany, self.UPSERT_CHECKPOINT_BLOBS_SQL, checkpoint_blobs
-                )
-            await asyncio.to_thread(
-                cur.execute,
-                self.UPSERT_CHECKPOINTS_SQL,
-                (
-                    thread_id,
-                    checkpoint_ns,
-                    checkpoint["id"],
-                    checkpoint_id,
-                    self._dump_checkpoint(copy),
-                    self._dump_metadata(metadata),
-                ),
-            )
-
-        return next_config
-
-    async def aput_writes(
-        self,
-        config: RunnableConfig,
-        writes: Sequence[tuple[str, Any]],
-        task_id: str,
-    ) -> None:
-        """Store intermediate writes linked to a checkpoint asynchronously.
-
-        This method saves intermediate writes associated with a checkpoint to the database.
-
-        Args:
-            config (RunnableConfig): Configuration of the related checkpoint.
-            writes (Sequence[Tuple[str, Any]]): List of writes to store, each as (channel, value) pair.
-            task_id (str): Identifier for the task creating the writes.
-        """
-        query = (
-            self.UPSERT_CHECKPOINT_WRITES_SQL
-            if all(w[0] in WRITES_IDX_MAP for w in writes)
-            else self.INSERT_CHECKPOINT_WRITES_SQL
-        )
-        params = await asyncio.to_thread(
-            self._dump_writes,
-            config["configurable"]["thread_id"],
-            config["configurable"]["checkpoint_ns"],
-            config["configurable"]["checkpoint_id"],
-            task_id,
-            writes,
-        )
-        async with self._cursor() as cur:
-            await asyncio.to_thread(cur.executemany, query, params)
-
-    @asynccontextmanager
-    async def _cursor(self) -> AsyncIterator[duckdb.DuckDBPyConnection]:
-        async with self.lock:
-            with self.conn.cursor() as cur:
-                yield cur
-
-    def list(
-        self,
-        config: Optional[RunnableConfig],
-        *,
-        filter: Optional[dict[str, Any]] = None,
-        before: Optional[RunnableConfig] = None,
-        limit: Optional[int] = None,
-    ) -> Iterator[CheckpointTuple]:
-        """List checkpoints from the database.
-
-        This method retrieves a list of checkpoint tuples from the DuckDB database based
-        on the provided config. The checkpoints are ordered by checkpoint ID in descending order (newest first).
-
-        Args:
-            config (Optional[RunnableConfig]): Base configuration for filtering checkpoints.
-            filter (Optional[Dict[str, Any]]): Additional filtering criteria for metadata.
-            before (Optional[RunnableConfig]): If provided, only checkpoints before the specified checkpoint ID are returned. Defaults to None.
-            limit (Optional[int]): Maximum number of checkpoints to return.
-
-        Yields:
-            Iterator[CheckpointTuple]: An iterator of matching checkpoint tuples.
-        """
-        try:
-            # check if we are in the main thread, only bg threads can block
-            # we don't check in other methods to avoid the overhead
-            if asyncio.get_running_loop() is self.loop:
-                raise asyncio.InvalidStateError(
-                    "Synchronous calls to AsyncDuckDBSaver are only allowed from a "
-                    "different thread. From the main thread, use the async interface. "
-                    "For example, use `checkpointer.alist(...)` or `await "
-                    "graph.ainvoke(...)`."
-                )
-        except RuntimeError:
-            pass
-        aiter_ = self.alist(config, filter=filter, before=before, limit=limit)
-        while True:
-            try:
-                yield asyncio.run_coroutine_threadsafe(
-                    anext(aiter_),
-                    self.loop,
-                ).result()
-            except StopAsyncIteration:
-                break
-
-    def get_tuple(self, config: RunnableConfig) -> Optional[CheckpointTuple]:
-        """Get a checkpoint tuple from the database.
-
-        This method retrieves a checkpoint tuple from the DuckDB database based on the
-        provided config. If the config contains a "checkpoint_id" key, the checkpoint with
-        the matching thread ID and "checkpoint_id" is retrieved. Otherwise, the latest checkpoint
-        for the given thread ID is retrieved.
-
-        Args:
-            config (RunnableConfig): The config to use for retrieving the checkpoint.
-
-        Returns:
-            Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
-        """
-        try:
-            # check if we are in the main thread, only bg threads can block
-            # we don't check in other methods to avoid the overhead
-            if asyncio.get_running_loop() is self.loop:
-                raise asyncio.InvalidStateError(
-                    "Synchronous calls to AsyncDuckDBSaver are only allowed from a "
-                    "different thread. From the main thread, use the async interface."
-                    "For example, use `await checkpointer.aget_tuple(...)` or `await "
-                    "graph.ainvoke(...)`."
-                )
-        except RuntimeError:
-            pass
-        return asyncio.run_coroutine_threadsafe(
-            self.aget_tuple(config), self.loop
-        ).result()
-
-    def put(
-        self,
-        config: RunnableConfig,
-        checkpoint: Checkpoint,
-        metadata: CheckpointMetadata,
-        new_versions: ChannelVersions,
-    ) -> RunnableConfig:
-        """Save a checkpoint to the database.
-
-        This method saves a checkpoint to the DuckDB database. The checkpoint is associated
-        with the provided config and its parent config (if any).
-
-        Args:
-            config (RunnableConfig): The config to associate with the checkpoint.
-            checkpoint (Checkpoint): The checkpoint to save.
-            metadata (CheckpointMetadata): Additional metadata to save with the checkpoint.
-            new_versions (ChannelVersions): New channel versions as of this write.
-
-        Returns:
-            RunnableConfig: Updated configuration after storing the checkpoint.
-        """
-        return asyncio.run_coroutine_threadsafe(
-            self.aput(config, checkpoint, metadata, new_versions), self.loop
-        ).result()
-
-    def put_writes(
-        self,
-        config: RunnableConfig,
-        writes: Sequence[tuple[str, Any]],
-        task_id: str,
-    ) -> None:
-        """Store intermediate writes linked to a checkpoint.
-
-        This method saves intermediate writes associated with a checkpoint to the database.
-
-        Args:
-            config (RunnableConfig): Configuration of the related checkpoint.
-            writes (Sequence[Tuple[str, Any]]): List of writes to store, each as (channel, value) pair.
-            task_id (str): Identifier for the task creating the writes.
-        """
-        return asyncio.run_coroutine_threadsafe(
-            self.aput_writes(config, writes, task_id), self.loop
-        ).result()
diff --git a/libs/checkpoint-duckdb/langgraph/checkpoint/duckdb/base.py b/libs/checkpoint-duckdb/langgraph/checkpoint/duckdb/base.py
deleted file mode 100644
index 951eadaca..000000000
--- a/libs/checkpoint-duckdb/langgraph/checkpoint/duckdb/base.py
+++ /dev/null
@@ -1,290 +0,0 @@
-import json
-import random
-from typing import Any, List, Optional, Sequence, Tuple, cast
-
-from langchain_core.runnables import RunnableConfig
-
-from langgraph.checkpoint.base import (
-    WRITES_IDX_MAP,
-    BaseCheckpointSaver,
-    ChannelVersions,
-    Checkpoint,
-    CheckpointMetadata,
-    get_checkpoint_id,
-)
-from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
-from langgraph.checkpoint.serde.types import TASKS, ChannelProtocol
-
-MetadataInput = Optional[dict[str, Any]]
-
-"""
-To add a new migration, add a new string to the MIGRATIONS list.
-The position of the migration in the list is the version number.
-"""
-MIGRATIONS = [
-    """CREATE TABLE IF NOT EXISTS checkpoint_migrations (
-    v INTEGER PRIMARY KEY
-);""",
-    """CREATE TABLE IF NOT EXISTS checkpoints (
-    thread_id TEXT NOT NULL,
-    checkpoint_ns TEXT NOT NULL DEFAULT '',
-    checkpoint_id TEXT NOT NULL,
-    parent_checkpoint_id TEXT,
-    type TEXT,
-    checkpoint JSON NOT NULL,
-    metadata JSON NOT NULL DEFAULT '{}',
-    PRIMARY KEY (thread_id, checkpoint_ns, checkpoint_id)
-);""",
-    """CREATE TABLE IF NOT EXISTS checkpoint_blobs (
-    thread_id TEXT NOT NULL,
-    checkpoint_ns TEXT NOT NULL DEFAULT '',
-    channel TEXT NOT NULL,
-    version TEXT NOT NULL,
-    type TEXT NOT NULL,
-    blob BLOB,
-    PRIMARY KEY (thread_id, checkpoint_ns, channel, version)
-);""",
-    """CREATE TABLE IF NOT EXISTS checkpoint_writes (
-    thread_id TEXT NOT NULL,
-    checkpoint_ns TEXT NOT NULL DEFAULT '',
-    checkpoint_id TEXT NOT NULL,
-    task_id TEXT NOT NULL,
-    idx INTEGER NOT NULL,
-    channel TEXT NOT NULL,
-    type TEXT,
-    blob BLOB NOT NULL,
-    PRIMARY KEY (thread_id, checkpoint_ns, checkpoint_id, task_id, idx)
-);""",
-]
-
-SELECT_SQL = f"""
-select
-    thread_id,
-    checkpoint,
-    checkpoint_ns,
-    checkpoint_id,
-    parent_checkpoint_id,
-    metadata,
-    (
-        select array_agg(array[bl.channel::bytea, bl.type::bytea, bl.blob])
-        from (
-            SELECT unnest(json_keys(json_extract(checkpoint, '$.channel_versions'))) as key
-        ) cv
-        inner join checkpoint_blobs bl
-            on bl.thread_id = checkpoints.thread_id
-            and bl.checkpoint_ns = checkpoints.checkpoint_ns
-            and bl.channel = cv.key
-            and bl.version = json_extract_string(checkpoint, '$.channel_versions.' || cv.key)
-    ) as channel_values,
-    (
-        select
-        array_agg(array[cw.task_id::blob, cw.channel::blob, cw.type::blob, cw.blob])
-        from checkpoint_writes cw
-        where cw.thread_id = checkpoints.thread_id
-            and cw.checkpoint_ns = checkpoints.checkpoint_ns
-            and cw.checkpoint_id = checkpoints.checkpoint_id
-    ) as pending_writes,
-    (
-        select array_agg(array[cw.type::blob, cw.blob])
-        from checkpoint_writes cw
-        where cw.thread_id = checkpoints.thread_id
-            and cw.checkpoint_ns = checkpoints.checkpoint_ns
-            and cw.checkpoint_id = checkpoints.parent_checkpoint_id
-            and cw.channel = '{TASKS}'
-    ) as pending_sends
-from checkpoints """
-
-UPSERT_CHECKPOINT_BLOBS_SQL = """
-    INSERT INTO checkpoint_blobs (thread_id, checkpoint_ns, channel, version, type, blob)
-    VALUES (?, ?, ?, ?, ?, ?)
-    ON CONFLICT (thread_id, checkpoint_ns, channel, version) DO NOTHING
-"""
-
-UPSERT_CHECKPOINTS_SQL = """
-    INSERT INTO checkpoints (thread_id, checkpoint_ns, checkpoint_id, parent_checkpoint_id, checkpoint, metadata)
-    VALUES (?, ?, ?, ?, ?, ?)
-    ON CONFLICT (thread_id, checkpoint_ns, checkpoint_id)
-    DO UPDATE SET
-        checkpoint = EXCLUDED.checkpoint,
-        metadata = EXCLUDED.metadata;
-"""
-
-UPSERT_CHECKPOINT_WRITES_SQL = """
-    INSERT INTO checkpoint_writes (thread_id, checkpoint_ns, checkpoint_id, task_id, idx, channel, type, blob)
-    VALUES (?, ?, ?, ?, ?, ?, ?, ?)
-    ON CONFLICT (thread_id, checkpoint_ns, checkpoint_id, task_id, idx) DO UPDATE SET
-        channel = EXCLUDED.channel,
-        type = EXCLUDED.type,
-        blob = EXCLUDED.blob;
-"""
-
-INSERT_CHECKPOINT_WRITES_SQL = """
-    INSERT INTO checkpoint_writes (thread_id, checkpoint_ns, checkpoint_id, task_id, idx, channel, type, blob)
-    VALUES (?, ?, ?, ?, ?, ?, ?, ?)
-    ON CONFLICT (thread_id, checkpoint_ns, checkpoint_id, task_id, idx) DO NOTHING
-"""
-
-
-class BaseDuckDBSaver(BaseCheckpointSaver[str]):
-    SELECT_SQL = SELECT_SQL
-    MIGRATIONS = MIGRATIONS
-    UPSERT_CHECKPOINT_BLOBS_SQL = UPSERT_CHECKPOINT_BLOBS_SQL
-    UPSERT_CHECKPOINTS_SQL = UPSERT_CHECKPOINTS_SQL
-    UPSERT_CHECKPOINT_WRITES_SQL = UPSERT_CHECKPOINT_WRITES_SQL
-    INSERT_CHECKPOINT_WRITES_SQL = INSERT_CHECKPOINT_WRITES_SQL
-
-    jsonplus_serde = JsonPlusSerializer()
-
-    def _load_checkpoint(
-        self,
-        checkpoint_json_str: str,
-        channel_values: list[tuple[bytes, bytes, bytes]],
-        pending_sends: list[tuple[bytes, bytes]],
-    ) -> Checkpoint:
-        checkpoint = json.loads(checkpoint_json_str)
-        return {
-            **checkpoint,
-            "pending_sends": [
-                self.serde.loads_typed((c.decode(), b)) for c, b in pending_sends or []
-            ],
-            "channel_values": self._load_blobs(channel_values),
-        }
-
-    def _dump_checkpoint(self, checkpoint: Checkpoint) -> dict[str, Any]:
-        return {**checkpoint, "pending_sends": []}
-
-    def _load_blobs(
-        self, blob_values: list[tuple[bytes, bytes, bytes]]
-    ) -> dict[str, Any]:
-        if not blob_values:
-            return {}
-        return {
-            k.decode(): self.serde.loads_typed((t.decode(), v))
-            for k, t, v in blob_values
-            if t.decode() != "empty"
-        }
-
-    def _dump_blobs(
-        self,
-        thread_id: str,
-        checkpoint_ns: str,
-        values: dict[str, Any],
-        versions: ChannelVersions,
-    ) -> list[tuple[str, str, str, str, str, Optional[bytes]]]:
-        if not versions:
-            return []
-
-        return [
-            (
-                thread_id,
-                checkpoint_ns,
-                k,
-                cast(str, ver),
-                *(
-                    self.serde.dumps_typed(values[k])
-                    if k in values
-                    else ("empty", None)
-                ),
-            )
-            for k, ver in versions.items()
-        ]
-
-    def _load_writes(
-        self, writes: list[tuple[bytes, bytes, bytes, bytes]]
-    ) -> list[tuple[str, str, Any]]:
-        return (
-            [
-                (
-                    tid.decode(),
-                    channel.decode(),
-                    self.serde.loads_typed((t.decode(), v)),
-                )
-                for tid, channel, t, v in writes
-            ]
-            if writes
-            else []
-        )
-
-    def _dump_writes(
-        self,
-        thread_id: str,
-        checkpoint_ns: str,
-        checkpoint_id: str,
-        task_id: str,
-        writes: Sequence[tuple[str, Any]],
-    ) -> list[tuple[str, str, str, str, int, str, str, bytes]]:
-        return [
-            (
-                thread_id,
-                checkpoint_ns,
-                checkpoint_id,
-                task_id,
-                WRITES_IDX_MAP.get(channel, idx),
-                channel,
-                *self.serde.dumps_typed(value),
-            )
-            for idx, (channel, value) in enumerate(writes)
-        ]
-
-    def _load_metadata(self, metadata_json_str: str) -> CheckpointMetadata:
-        return self.jsonplus_serde.loads(metadata_json_str.encode())
-
-    def _dump_metadata(self, metadata: CheckpointMetadata) -> str:
-        serialized_metadata = self.jsonplus_serde.dumps(metadata)
-        # NOTE: we're using JSON serializer (not msgpack), so we need to remove null characters before writing
-        return serialized_metadata.decode().replace("\\u0000", "")
-
-    def get_next_version(self, current: Optional[str], channel: ChannelProtocol) -> str:
-        if current is None:
-            current_v = 0
-        elif isinstance(current, int):
-            current_v = current
-        else:
-            current_v = int(current.split(".")[0])
-        next_v = current_v + 1
-        next_h = random.random()
-        return f"{next_v:032}.{next_h:016}"
-
-    def _search_where(
-        self,
-        config: Optional[RunnableConfig],
-        filter: MetadataInput,
-        before: Optional[RunnableConfig] = None,
-    ) -> Tuple[str, List[Any]]:
-        """Return WHERE clause predicates for alist() given config, filter, before.
-
-        This method returns a tuple of a string and a tuple of values. The string
-        is the parametered WHERE clause predicate (including the WHERE keyword):
-        "WHERE column1 = $1 AND column2 IS $2". The list of values contains the
-        values for each of the corresponding parameters.
-        """
-        wheres = []
-        param_values = []
-
-        # construct predicate for config filter
-        if config:
-            wheres.append("thread_id = ?")
-            param_values.append(config["configurable"]["thread_id"])
-            checkpoint_ns = config["configurable"].get("checkpoint_ns")
-            if checkpoint_ns is not None:
-                wheres.append("checkpoint_ns = ?")
-                param_values.append(checkpoint_ns)
-
-            if checkpoint_id := get_checkpoint_id(config):
-                wheres.append("checkpoint_id = ?")
-                param_values.append(checkpoint_id)
-
-        # construct predicate for metadata filter
-        if filter:
-            wheres.append("json_contains(metadata, ?)")
-            param_values.append(json.dumps(filter))
-
-        # construct predicate for `before`
-        if before is not None:
-            wheres.append("checkpoint_id < ?")
-            param_values.append(get_checkpoint_id(before))
-
-        return (
-            "WHERE " + " AND ".join(wheres) if wheres else "",
-            param_values,
-        )
diff --git a/libs/checkpoint-duckdb/langgraph/checkpoint/duckdb/py.typed b/libs/checkpoint-duckdb/langgraph/checkpoint/duckdb/py.typed
deleted file mode 100644
index e69de29bb..000000000
diff --git a/libs/checkpoint-duckdb/langgraph/store/duckdb/__init__.py b/libs/checkpoint-duckdb/langgraph/store/duckdb/__init__.py
deleted file mode 100644
index 058c64bf7..000000000
--- a/libs/checkpoint-duckdb/langgraph/store/duckdb/__init__.py
+++ /dev/null
@@ -1,4 +0,0 @@
-from langgraph.store.duckdb.aio import AsyncDuckDBStore
-from langgraph.store.duckdb.base import DuckDBStore
-
-__all__ = ["AsyncDuckDBStore", "DuckDBStore"]
diff --git a/libs/checkpoint-duckdb/langgraph/store/duckdb/aio.py b/libs/checkpoint-duckdb/langgraph/store/duckdb/aio.py
deleted file mode 100644
index f050f449b..000000000
--- a/libs/checkpoint-duckdb/langgraph/store/duckdb/aio.py
+++ /dev/null
@@ -1,195 +0,0 @@
-import asyncio
-import logging
-from contextlib import asynccontextmanager
-from typing import (
-    AsyncIterator,
-    Iterable,
-    Sequence,
-    cast,
-)
-
-import duckdb
-from langgraph.store.base import GetOp, ListNamespacesOp, Op, PutOp, Result, SearchOp
-from langgraph.store.base.batch import AsyncBatchedBaseStore
-from langgraph.store.duckdb.base import (
-    BaseDuckDBStore,
-    _convert_ns,
-    _group_ops,
-    _row_to_item,
-)
-
-logger = logging.getLogger(__name__)
-
-
-class AsyncDuckDBStore(AsyncBatchedBaseStore, BaseDuckDBStore):
-    def __init__(
-        self,
-        conn: duckdb.DuckDBPyConnection,
-    ) -> None:
-        super().__init__()
-        self.conn = conn
-        self.loop = asyncio.get_running_loop()
-
-    async def abatch(self, ops: Iterable[Op]) -> list[Result]:
-        grouped_ops, num_ops = _group_ops(ops)
-        results: list[Result] = [None] * num_ops
-
-        tasks = []
-
-        if GetOp in grouped_ops:
-            tasks.append(
-                self._batch_get_ops(
-                    cast(Sequence[tuple[int, GetOp]], grouped_ops[GetOp]), results
-                )
-            )
-
-        if PutOp in grouped_ops:
-            tasks.append(
-                self._batch_put_ops(
-                    cast(Sequence[tuple[int, PutOp]], grouped_ops[PutOp])
-                )
-            )
-
-        if SearchOp in grouped_ops:
-            tasks.append(
-                self._batch_search_ops(
-                    cast(Sequence[tuple[int, SearchOp]], grouped_ops[SearchOp]),
-                    results,
-                )
-            )
-
-        if ListNamespacesOp in grouped_ops:
-            tasks.append(
-                self._batch_list_namespaces_ops(
-                    cast(
-                        Sequence[tuple[int, ListNamespacesOp]],
-                        grouped_ops[ListNamespacesOp],
-                    ),
-                    results,
-                )
-            )
-
-        await asyncio.gather(*tasks)
-
-        return results
-
-    def batch(self, ops: Iterable[Op]) -> list[Result]:
-        return asyncio.run_coroutine_threadsafe(self.abatch(ops), self.loop).result()
-
-    async def _batch_get_ops(
-        self,
-        get_ops: Sequence[tuple[int, GetOp]],
-        results: list[Result],
-    ) -> None:
-        cursors = []
-        for query, params, namespace, items in self._get_batch_GET_ops_queries(get_ops):
-            cur = self.conn.cursor()
-            await asyncio.to_thread(cur.execute, query, params)
-            cursors.append((cur, namespace, items))
-
-        for cur, namespace, items in cursors:
-            rows = await asyncio.to_thread(cur.fetchall)
-            key_to_row = {row[1]: row for row in rows}
-            for idx, key in items:
-                row = key_to_row.get(key)
-                if row:
-                    results[idx] = _row_to_item(namespace, row)
-                else:
-                    results[idx] = None
-
-    async def _batch_put_ops(
-        self,
-        put_ops: Sequence[tuple[int, PutOp]],
-    ) -> None:
-        queries = self._get_batch_PUT_queries(put_ops)
-        for query, params in queries:
-            cur = self.conn.cursor()
-            await asyncio.to_thread(cur.execute, query, params)
-
-    async def _batch_search_ops(
-        self,
-        search_ops: Sequence[tuple[int, SearchOp]],
-        results: list[Result],
-    ) -> None:
-        queries = self._get_batch_search_queries(search_ops)
-        cursors: list[tuple[duckdb.DuckDBPyConnection, int]] = []
-
-        for (query, params), (idx, _) in zip(queries, search_ops):
-            cur = self.conn.cursor()
-            await asyncio.to_thread(cur.execute, query, params)
-            cursors.append((cur, idx))
-
-        for cur, idx in cursors:
-            rows = await asyncio.to_thread(cur.fetchall)
-            items = [_row_to_item(_convert_ns(row[0]), row) for row in rows]
-            results[idx] = items
-
-    async def _batch_list_namespaces_ops(
-        self,
-        list_ops: Sequence[tuple[int, ListNamespacesOp]],
-        results: list[Result],
-    ) -> None:
-        queries = self._get_batch_list_namespaces_queries(list_ops)
-        cursors: list[tuple[duckdb.DuckDBPyConnection, int]] = []
-        for (query, params), (idx, _) in zip(queries, list_ops):
-            cur = self.conn.cursor()
-            await asyncio.to_thread(cur.execute, query, params)
-            cursors.append((cur, idx))
-
-        for cur, idx in cursors:
-            rows = cast(list[tuple], await asyncio.to_thread(cur.fetchall))
-            namespaces = [_convert_ns(row[0]) for row in rows]
-            results[idx] = namespaces
-
-    @classmethod
-    @asynccontextmanager
-    async def from_conn_string(
-        cls,
-        conn_string: str,
-    ) -> AsyncIterator["AsyncDuckDBStore"]:
-        """Create a new AsyncDuckDBStore instance from a connection string.
-
-        Args:
-            conn_string (str): The DuckDB connection info string.
-
-        Returns:
-            AsyncDuckDBStore: A new AsyncDuckDBStore instance.
-        """
-        with duckdb.connect(conn_string) as conn:
-            yield cls(conn)
-
-    async def setup(self) -> None:
-        """Set up the store database asynchronously.
-
-        This method creates the necessary tables in the DuckDB database if they don't
-        already exist and runs database migrations. It is called automatically when needed and should not be called
-        directly by the user.
-        """
-        cur = self.conn.cursor()
-        try:
-            await asyncio.to_thread(
-                cur.execute, "SELECT v FROM store_migrations ORDER BY v DESC LIMIT 1"
-            )
-            row = await asyncio.to_thread(cur.fetchone)
-            if row is None:
-                version = -1
-            else:
-                version = row[0]
-        except duckdb.CatalogException:
-            version = -1
-            # Create store_migrations table if it doesn't exist
-            await asyncio.to_thread(
-                cur.execute,
-                """
-                CREATE TABLE IF NOT EXISTS store_migrations (
-                    v INTEGER PRIMARY KEY
-                )
-                """,
-            )
-        for v, migration in enumerate(
-            self.MIGRATIONS[version + 1 :], start=version + 1
-        ):
-            await asyncio.to_thread(cur.execute, migration)
-            await asyncio.to_thread(
-                cur.execute, "INSERT INTO store_migrations (v) VALUES (?)", (v,)
-            )
diff --git a/libs/checkpoint-duckdb/langgraph/store/duckdb/base.py b/libs/checkpoint-duckdb/langgraph/store/duckdb/base.py
deleted file mode 100644
index 89bf13681..000000000
--- a/libs/checkpoint-duckdb/langgraph/store/duckdb/base.py
+++ /dev/null
@@ -1,408 +0,0 @@
-import asyncio
-import json
-import logging
-from collections import defaultdict
-from contextlib import contextmanager
-from typing import (
-    Any,
-    Generic,
-    Iterable,
-    Iterator,
-    Sequence,
-    TypeVar,
-    Union,
-    cast,
-)
-
-import duckdb
-from langgraph.store.base import (
-    BaseStore,
-    GetOp,
-    Item,
-    ListNamespacesOp,
-    Op,
-    PutOp,
-    Result,
-    SearchItem,
-    SearchOp,
-)
-
-logger = logging.getLogger(__name__)
-
-
-MIGRATIONS = [
-    """
-CREATE TABLE IF NOT EXISTS store (
-    prefix TEXT NOT NULL,
-    key TEXT NOT NULL,
-    value JSON NOT NULL,
-    created_at TIMESTAMP DEFAULT now(),
-    updated_at TIMESTAMP DEFAULT now(),
-    PRIMARY KEY (prefix, key)
-);
-""",
-    """
-CREATE INDEX IF NOT EXISTS store_prefix_idx ON store (prefix);
-""",
-]
-
-C = TypeVar("C", bound=duckdb.DuckDBPyConnection)
-
-
-class BaseDuckDBStore(Generic[C]):
-    MIGRATIONS = MIGRATIONS
-    conn: C
-
-    def _get_batch_GET_ops_queries(
-        self,
-        get_ops: Sequence[tuple[int, GetOp]],
-    ) -> list[tuple[str, tuple, tuple[str, ...], list]]:
-        namespace_groups = defaultdict(list)
-        for idx, op in get_ops:
-            namespace_groups[op.namespace].append((idx, op.key))
-        results = []
-        for namespace, items in namespace_groups.items():
-            _, keys = zip(*items)
-            keys_to_query = ",".join(["?"] * len(keys))
-            query = f"""
-                SELECT prefix, key, value, created_at, updated_at
-                FROM store
-                WHERE prefix = ? AND key IN ({keys_to_query})
-            """
-            params = (_namespace_to_text(namespace), *keys)
-            results.append((query, params, namespace, items))
-        return results
-
-    def _get_batch_PUT_queries(
-        self,
-        put_ops: Sequence[tuple[int, PutOp]],
-    ) -> list[tuple[str, Sequence]]:
-        inserts: list[PutOp] = []
-        deletes: list[PutOp] = []
-        for _, op in put_ops:
-            if op.value is None:
-                deletes.append(op)
-            else:
-                inserts.append(op)
-
-        queries: list[tuple[str, Sequence]] = []
-
-        if deletes:
-            namespace_groups: dict[tuple[str, ...], list[str]] = defaultdict(list)
-            for op in deletes:
-                namespace_groups[op.namespace].append(op.key)
-            for namespace, keys in namespace_groups.items():
-                placeholders = ",".join(["?"] * len(keys))
-                query = (
-                    f"DELETE FROM store WHERE prefix = ? AND key IN ({placeholders})"
-                )
-                params = (_namespace_to_text(namespace), *keys)
-                queries.append((query, params))
-        if inserts:
-            values = []
-            insertion_params = []
-            for op in inserts:
-                values.append("(?, ?, ?, now(), now())")
-                insertion_params.extend(
-                    [
-                        _namespace_to_text(op.namespace),
-                        op.key,
-                        json.dumps(op.value),
-                    ]
-                )
-            values_str = ",".join(values)
-            query = f"""
-                INSERT INTO store (prefix, key, value, created_at, updated_at)
-                VALUES {values_str}
-                ON CONFLICT (prefix, key) DO UPDATE
-                SET value = EXCLUDED.value, updated_at = now()
-            """
-            queries.append((query, insertion_params))
-
-        return queries
-
-    def _get_batch_search_queries(
-        self,
-        search_ops: Sequence[tuple[int, SearchOp]],
-    ) -> list[tuple[str, Sequence]]:
-        queries: list[tuple[str, Sequence]] = []
-        for _, op in search_ops:
-            query = """
-                SELECT prefix, key, value, created_at, updated_at
-                FROM store
-                WHERE prefix LIKE ?
-            """
-            params: list = [f"{_namespace_to_text(op.namespace_prefix)}%"]
-
-            if op.filter:
-                filter_conditions = []
-                for key, value in op.filter.items():
-                    filter_conditions.append(f"json_extract(value, '$.{key}') = ?")
-                    params.append(json.dumps(value))
-                query += " AND " + " AND ".join(filter_conditions)
-
-            query += " ORDER BY updated_at DESC LIMIT ? OFFSET ?"
-            params.extend([op.limit, op.offset])
-
-            queries.append((query, params))
-        return queries
-
-    def _get_batch_list_namespaces_queries(
-        self,
-        list_ops: Sequence[tuple[int, ListNamespacesOp]],
-    ) -> list[tuple[str, Sequence]]:
-        queries: list[tuple[str, Sequence]] = []
-        for _, op in list_ops:
-            query = """
-                WITH split_prefix AS (
-                    SELECT
-                        prefix,
-                        string_split(prefix, '.') AS parts
-                    FROM store
-                )
-                SELECT DISTINCT ON (truncated_prefix)
-                    CASE
-                        WHEN ? IS NOT NULL THEN
-                        array_to_string(array_slice(parts, 1, ?), '.')
-                        ELSE prefix
-                    END AS truncated_prefix,
-                    prefix
-                FROM split_prefix
-            """
-            params: list[Any] = [op.max_depth, op.max_depth]
-
-            conditions = []
-            if op.match_conditions:
-                for condition in op.match_conditions:
-                    if condition.match_type == "prefix":
-                        conditions.append("prefix LIKE ?")
-                        params.append(
-                            f"{_namespace_to_text(condition.path, handle_wildcards=True)}%"
-                        )
-                    elif condition.match_type == "suffix":
-                        conditions.append("prefix LIKE ?")
-                        params.append(
-                            f"%{_namespace_to_text(condition.path, handle_wildcards=True)}"
-                        )
-                    else:
-                        logger.warning(
-                            f"Unknown match_type in list_namespaces: {condition.match_type}"
-                        )
-
-            if conditions:
-                query += " WHERE " + " AND ".join(conditions)
-
-            query += " ORDER BY prefix LIMIT ? OFFSET ?"
-            params.extend([op.limit, op.offset])
-            queries.append((query, params))
-
-        return queries
-
-
-class DuckDBStore(BaseStore, BaseDuckDBStore[duckdb.DuckDBPyConnection]):
-    def __init__(
-        self,
-        conn: duckdb.DuckDBPyConnection,
-    ) -> None:
-        super().__init__()
-        self.conn = conn
-
-    def batch(self, ops: Iterable[Op]) -> list[Result]:
-        grouped_ops, num_ops = _group_ops(ops)
-        results: list[Result] = [None] * num_ops
-
-        if GetOp in grouped_ops:
-            self._batch_get_ops(
-                cast(Sequence[tuple[int, GetOp]], grouped_ops[GetOp]), results
-            )
-
-        if PutOp in grouped_ops:
-            self._batch_put_ops(cast(Sequence[tuple[int, PutOp]], grouped_ops[PutOp]))
-
-        if SearchOp in grouped_ops:
-            self._batch_search_ops(
-                cast(Sequence[tuple[int, SearchOp]], grouped_ops[SearchOp]),
-                results,
-            )
-
-        if ListNamespacesOp in grouped_ops:
-            self._batch_list_namespaces_ops(
-                cast(
-                    Sequence[tuple[int, ListNamespacesOp]],
-                    grouped_ops[ListNamespacesOp],
-                ),
-                results,
-            )
-
-        return results
-
-    async def abatch(self, ops: Iterable[Op]) -> list[Result]:
-        return await asyncio.get_running_loop().run_in_executor(None, self.batch, ops)
-
-    def _batch_get_ops(
-        self,
-        get_ops: Sequence[tuple[int, GetOp]],
-        results: list[Result],
-    ) -> None:
-        cursors = []
-        for query, params, namespace, items in self._get_batch_GET_ops_queries(get_ops):
-            cur = self.conn.cursor()
-            cur.execute(query, params)
-            cursors.append((cur, namespace, items))
-
-        for cur, namespace, items in cursors:
-            rows = cur.fetchall()
-            key_to_row = {row[1]: row for row in rows}
-            for idx, key in items:
-                row = key_to_row.get(key)
-                if row:
-                    results[idx] = _row_to_item(namespace, row)
-                else:
-                    results[idx] = None
-
-    def _batch_put_ops(
-        self,
-        put_ops: Sequence[tuple[int, PutOp]],
-    ) -> None:
-        queries = self._get_batch_PUT_queries(put_ops)
-        for query, params in queries:
-            cur = self.conn.cursor()
-            cur.execute(query, params)
-
-    def _batch_search_ops(
-        self,
-        search_ops: Sequence[tuple[int, SearchOp]],
-        results: list[Result],
-    ) -> None:
-        queries = self._get_batch_search_queries(search_ops)
-        cursors: list[tuple[duckdb.DuckDBPyConnection, int]] = []
-
-        for (query, params), (idx, _) in zip(queries, search_ops):
-            cur = self.conn.cursor()
-            cur.execute(query, params)
-            cursors.append((cur, idx))
-
-        for cur, idx in cursors:
-            rows = cur.fetchall()
-            items = [_row_to_search_item(_convert_ns(row[0]), row) for row in rows]
-            results[idx] = items
-
-    def _batch_list_namespaces_ops(
-        self,
-        list_ops: Sequence[tuple[int, ListNamespacesOp]],
-        results: list[Result],
-    ) -> None:
-        queries = self._get_batch_list_namespaces_queries(list_ops)
-        cursors: list[tuple[duckdb.DuckDBPyConnection, int]] = []
-        for (query, params), (idx, _) in zip(queries, list_ops):
-            cur = self.conn.cursor()
-            cur.execute(query, params)
-            cursors.append((cur, idx))
-
-        for cur, idx in cursors:
-            rows = cast(list[dict], cur.fetchall())
-            namespaces = [_convert_ns(row[0]) for row in rows]
-            results[idx] = namespaces
-
-    @classmethod
-    @contextmanager
-    def from_conn_string(
-        cls,
-        conn_string: str,
-    ) -> Iterator["DuckDBStore"]:
-        """Create a new BaseDuckDBStore instance from a connection string.
-
-        Args:
-            conn_string (str): The DuckDB connection info string.
-
-        Returns:
-            DuckDBStore: A new DuckDBStore instance.
-        """
-        with duckdb.connect(conn_string) as conn:
-            yield cls(conn=conn)
-
-    def setup(self) -> None:
-        """Set up the store database.
-
-        This method creates the necessary tables in the DuckDB database if they don't
-        already exist and runs database migrations. It is called automatically when needed and should not be called
-        directly by the user.
-        """
-        with self.conn.cursor() as cur:
-            try:
-                cur.execute("SELECT v FROM store_migrations ORDER BY v DESC LIMIT 1")
-                row = cast(dict, cur.fetchone())
-                if row is None:
-                    version = -1
-                else:
-                    version = row["v"]
-            except duckdb.CatalogException:
-                version = -1
-                # Create store_migrations table if it doesn't exist
-                cur.execute(
-                    """
-                    CREATE TABLE IF NOT EXISTS store_migrations (
-                        v INTEGER PRIMARY KEY
-                    )
-                """
-                )
-            for v, migration in enumerate(
-                self.MIGRATIONS[version + 1 :], start=version + 1
-            ):
-                cur.execute(migration)
-                cur.execute("INSERT INTO store_migrations (v) VALUES (?)", (v,))
-
-
-def _namespace_to_text(
-    namespace: tuple[str, ...], handle_wildcards: bool = False
-) -> str:
-    """Convert namespace tuple to text string."""
-    if handle_wildcards:
-        namespace = tuple("%" if val == "*" else val for val in namespace)
-    return ".".join(namespace)
-
-
-def _row_to_item(
-    namespace: tuple[str, ...],
-    row: tuple,
-) -> Item:
-    """Convert a row from the database into an Item."""
-    _, key, val, created_at, updated_at = row
-    return Item(
-        value=val if isinstance(val, dict) else json.loads(val),
-        key=key,
-        namespace=namespace,
-        created_at=created_at,
-        updated_at=updated_at,
-    )
-
-
-def _row_to_search_item(
-    namespace: tuple[str, ...],
-    row: tuple,
-) -> SearchItem:
-    """Convert a row from the database into an SearchItem."""
-    # TODO: Add support for search
-    _, key, val, created_at, updated_at = row
-    return SearchItem(
-        value=val if isinstance(val, dict) else json.loads(val),
-        key=key,
-        namespace=namespace,
-        created_at=created_at,
-        updated_at=updated_at,
-    )
-
-
-def _group_ops(ops: Iterable[Op]) -> tuple[dict[type, list[tuple[int, Op]]], int]:
-    grouped_ops: dict[type, list[tuple[int, Op]]] = defaultdict(list)
-    tot = 0
-    for idx, op in enumerate(ops):
-        grouped_ops[type(op)].append((idx, op))
-        tot += 1
-    return grouped_ops, tot
-
-
-def _convert_ns(namespace: Union[str, list]) -> tuple[str, ...]:
-    if isinstance(namespace, list):
-        return tuple(namespace)
-    return tuple(namespace.split("."))
diff --git a/libs/checkpoint-duckdb/langgraph/store/duckdb/py.typed b/libs/checkpoint-duckdb/langgraph/store/duckdb/py.typed
deleted file mode 100644
index e69de29bb..000000000
diff --git a/libs/checkpoint-duckdb/poetry.lock b/libs/checkpoint-duckdb/poetry.lock
deleted file mode 100644
index 4ce1cbaba..000000000
--- a/libs/checkpoint-duckdb/poetry.lock
+++ /dev/null
@@ -1,1058 +0,0 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
-
-[[package]]
-name = "annotated-types"
-version = "0.7.0"
-description = "Reusable constraint types to use with typing.Annotated"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
-    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
-]
-
-[[package]]
-name = "anyio"
-version = "4.4.0"
-description = "High level compatibility layer for multiple asynchronous event loop implementations"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "anyio-4.4.0-py3-none-any.whl", hash = "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"},
-    {file = "anyio-4.4.0.tar.gz", hash = "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94"},
-]
-
-[package.dependencies]
-exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
-idna = ">=2.8"
-sniffio = ">=1.1"
-typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
-
-[package.extras]
-doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
-trio = ["trio (>=0.23)"]
-
-[[package]]
-name = "certifi"
-version = "2024.7.4"
-description = "Python package for providing Mozilla's CA Bundle."
-optional = false
-python-versions = ">=3.6"
-files = [
-    {file = "certifi-2024.7.4-py3-none-any.whl", hash = "sha256:c198e21b1289c2ab85ee4e67bb4b4ef3ead0892059901a8d5b622f24a1101e90"},
-    {file = "certifi-2024.7.4.tar.gz", hash = "sha256:5a1e7645bc0ec61a09e26c36f6106dd4cf40c6db3a1fb6352b0244e7fb057c7b"},
-]
-
-[[package]]
-name = "charset-normalizer"
-version = "3.3.2"
-description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
-optional = false
-python-versions = ">=3.7.0"
-files = [
-    {file = "charset-normalizer-3.3.2.tar.gz", hash = "sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5"},
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-    {file = "watchdog-4.0.1.tar.gz", hash = "sha256:eebaacf674fa25511e8867028d281e602ee6500045b57f43b08778082f7f8b44"},
-]
-
-[package.extras]
-watchmedo = ["PyYAML (>=3.10)"]
-
-[metadata]
-lock-version = "2.0"
-python-versions = "^3.9.0,<4.0"
-content-hash = "c319b072af396b6f10fd6f75544816ea717741ed8b35ce675df65506c585f67e"
diff --git a/libs/checkpoint-duckdb/pyproject.toml b/libs/checkpoint-duckdb/pyproject.toml
deleted file mode 100644
index 103e279f5..000000000
--- a/libs/checkpoint-duckdb/pyproject.toml
+++ /dev/null
@@ -1,60 +0,0 @@
-[tool.poetry]
-name = "langgraph-checkpoint-duckdb"
-version = "2.0.2"
-description = "Library with a DuckDB implementation of LangGraph checkpoint saver."
-authors = []
-license = "MIT"
-readme = "README.md"
-repository = "https://www.github.com/langchain-ai/langgraph"
-packages = [{ include = "langgraph" }]
-
-[tool.poetry.dependencies]
-python = "^3.9.0,<4.0"
-langgraph-checkpoint = "^2.0.2"
-duckdb = ">=1.1.2"
-
-[tool.poetry.group.dev.dependencies]
-ruff = "^0.6.2"
-codespell = "^2.2.0"
-pytest = "^7.2.1"
-anyio = "^4.4.0"
-pytest-asyncio = "^0.21.1"
-pytest-mock = "^3.11.1"
-pytest-watch = "^4.2.0"
-mypy = "^1.10.0"
-langgraph-checkpoint = {path = "../checkpoint", develop = true}
-
-[tool.pytest.ini_options]
-# --strict-markers will raise errors on unknown marks.
-# https://docs.pytest.org/en/7.1.x/how-to/mark.html#raising-errors-on-unknown-marks
-#
-# https://docs.pytest.org/en/7.1.x/reference/reference.html
-# --strict-config       any warnings encountered while parsing the `pytest`
-#                       section of the configuration file raise errors.
-addopts = "--strict-markers --strict-config --durations=5 -vv"
-asyncio_mode = "auto"
-
-
-[build-system]
-requires = ["poetry-core"]
-build-backend = "poetry.core.masonry.api"
-
-[tool.ruff]
-lint.select = [
-  "E",  # pycodestyle
-  "F",  # Pyflakes
-  "UP", # pyupgrade
-  "B",  # flake8-bugbear
-  "I",  # isort
-]
-lint.ignore = ["E501", "B008", "UP007", "UP006"]
-
-[tool.mypy]
-# https://mypy.readthedocs.io/en/stable/config_file.html
-disallow_untyped_defs = "True"
-explicit_package_bases = "True"
-warn_no_return = "False"
-warn_unused_ignores = "True"
-warn_redundant_casts = "True"
-allow_redefinition = "True"
-disable_error_code = "typeddict-item, return-value"
diff --git a/libs/checkpoint-duckdb/tests/test_async.py b/libs/checkpoint-duckdb/tests/test_async.py
deleted file mode 100644
index 85c0f6dfb..000000000
--- a/libs/checkpoint-duckdb/tests/test_async.py
+++ /dev/null
@@ -1,112 +0,0 @@
-from typing import Any
-
-import pytest
-from langchain_core.runnables import RunnableConfig
-
-from langgraph.checkpoint.base import (
-    Checkpoint,
-    CheckpointMetadata,
-    create_checkpoint,
-    empty_checkpoint,
-)
-from langgraph.checkpoint.duckdb.aio import AsyncDuckDBSaver
-
-
-class TestAsyncDuckDBSaver:
-    @pytest.fixture(autouse=True)
-    async def setup(self) -> None:
-        # objects for test setup
-        self.config_1: RunnableConfig = {
-            "configurable": {
-                "thread_id": "thread-1",
-                # for backwards compatibility testing
-                "thread_ts": "1",
-                "checkpoint_ns": "",
-            }
-        }
-        self.config_2: RunnableConfig = {
-            "configurable": {
-                "thread_id": "thread-2",
-                "checkpoint_id": "2",
-                "checkpoint_ns": "",
-            }
-        }
-        self.config_3: RunnableConfig = {
-            "configurable": {
-                "thread_id": "thread-2",
-                "checkpoint_id": "2-inner",
-                "checkpoint_ns": "inner",
-            }
-        }
-
-        self.chkpnt_1: Checkpoint = empty_checkpoint()
-        self.chkpnt_2: Checkpoint = create_checkpoint(self.chkpnt_1, {}, 1)
-        self.chkpnt_3: Checkpoint = empty_checkpoint()
-
-        self.metadata_1: CheckpointMetadata = {
-            "source": "input",
-            "step": 2,
-            "writes": {},
-            "score": 1,
-        }
-        self.metadata_2: CheckpointMetadata = {
-            "source": "loop",
-            "step": 1,
-            "writes": {"foo": "bar"},
-            "score": None,
-        }
-        self.metadata_3: CheckpointMetadata = {}
-
-    async def test_asearch(self) -> None:
-        async with AsyncDuckDBSaver.from_conn_string(":memory:") as saver:
-            await saver.setup()
-            await saver.aput(self.config_1, self.chkpnt_1, self.metadata_1, {})
-            await saver.aput(self.config_2, self.chkpnt_2, self.metadata_2, {})
-            await saver.aput(self.config_3, self.chkpnt_3, self.metadata_3, {})
-
-            # call method / assertions
-            query_1 = {"source": "input"}  # search by 1 key
-            query_2 = {
-                "step": 1,
-                "writes": {"foo": "bar"},
-            }  # search by multiple keys
-            query_3: dict[str, Any] = {}  # search by no keys, return all checkpoints
-            query_4 = {"source": "update", "step": 1}  # no match
-
-            search_results_1 = [c async for c in saver.alist(None, filter=query_1)]
-            assert len(search_results_1) == 1
-            assert search_results_1[0].metadata == self.metadata_1
-
-            search_results_2 = [c async for c in saver.alist(None, filter=query_2)]
-            assert len(search_results_2) == 1
-            assert search_results_2[0].metadata == self.metadata_2
-
-            search_results_3 = [c async for c in saver.alist(None, filter=query_3)]
-            assert len(search_results_3) == 3
-
-            search_results_4 = [c async for c in saver.alist(None, filter=query_4)]
-            assert len(search_results_4) == 0
-
-            # search by config (defaults to checkpoints across all namespaces)
-            search_results_5 = [
-                c
-                async for c in saver.alist({"configurable": {"thread_id": "thread-2"}})
-            ]
-            assert len(search_results_5) == 2
-            assert {
-                search_results_5[0].config["configurable"]["checkpoint_ns"],
-                search_results_5[1].config["configurable"]["checkpoint_ns"],
-            } == {"", "inner"}
-
-            # TODO: test before and limit params
-
-    async def test_null_chars(self) -> None:
-        async with AsyncDuckDBSaver.from_conn_string(":memory:") as saver:
-            await saver.setup()
-            config = await saver.aput(
-                self.config_1, self.chkpnt_1, {"my_key": "\x00abc"}, {}
-            )
-            assert (await saver.aget_tuple(config)).metadata["my_key"] == "abc"  # type: ignore
-            assert [c async for c in saver.alist(None, filter={"my_key": "abc"})][
-                0
-            ].metadata["my_key"] == "abc"
diff --git a/libs/checkpoint-duckdb/tests/test_async_store.py b/libs/checkpoint-duckdb/tests/test_async_store.py
deleted file mode 100644
index 140807c08..000000000
--- a/libs/checkpoint-duckdb/tests/test_async_store.py
+++ /dev/null
@@ -1,517 +0,0 @@
-# type: ignore
-import uuid
-from datetime import datetime
-from typing import Any
-from unittest.mock import MagicMock
-
-import pytest
-
-from langgraph.store.base import GetOp, Item, ListNamespacesOp, PutOp, SearchOp
-from langgraph.store.duckdb import AsyncDuckDBStore
-
-
-class MockCursor:
-    def __init__(self, fetch_result: Any) -> None:
-        self.fetch_result = fetch_result
-        self.execute = MagicMock()
-        self.fetchall = MagicMock(return_value=self.fetch_result)
-
-
-class MockConnection:
-    def __init__(self) -> None:
-        self.cursor = MagicMock()
-
-
-@pytest.fixture
-def mock_connection() -> MockConnection:
-    return MockConnection()
-
-
-@pytest.fixture
-async def store(mock_connection: MockConnection) -> AsyncDuckDBStore:
-    duck_db_store = AsyncDuckDBStore(mock_connection)
-    await duck_db_store.setup()
-    return duck_db_store
-
-
-async def test_abatch_order(store: AsyncDuckDBStore) -> None:
-    mock_connection = store.conn
-    mock_get_cursor = MockCursor(
-        [
-            (
-                "test.foo",
-                "key1",
-                '{"data": "value1"}',
-                datetime.now(),
-                datetime.now(),
-            ),
-            (
-                "test.bar",
-                "key2",
-                '{"data": "value2"}',
-                datetime.now(),
-                datetime.now(),
-            ),
-        ]
-    )
-    mock_search_cursor = MockCursor(
-        [
-            (
-                "test.foo",
-                "key1",
-                '{"data": "value1"}',
-                datetime.now(),
-                datetime.now(),
-            ),
-        ]
-    )
-    mock_list_namespaces_cursor = MockCursor(
-        [
-            ("test",),
-        ]
-    )
-
-    failures = []
-
-    def cursor_side_effect() -> Any:
-        cursor = MagicMock()
-
-        def execute_side_effect(query: str, *params: Any) -> None:
-            # My super sophisticated database.
-            if "WHERE prefix = ? AND key" in query:
-                cursor.fetchall = mock_get_cursor.fetchall
-            elif "SELECT prefix, key, value" in query:
-                cursor.fetchall = mock_search_cursor.fetchall
-            elif "SELECT DISTINCT ON (truncated_prefix)" in query:
-                cursor.fetchall = mock_list_namespaces_cursor.fetchall
-            elif "INSERT INTO " in query:
-                pass
-            else:
-                e = ValueError(f"Unmatched query: {query}")
-                failures.append(e)
-                raise e
-
-        cursor.execute = MagicMock(side_effect=execute_side_effect)
-        return cursor
-
-    mock_connection.cursor.side_effect = cursor_side_effect  # type: ignore
-
-    ops = [
-        GetOp(namespace=("test",), key="key1"),
-        PutOp(namespace=("test",), key="key2", value={"data": "value2"}),
-        SearchOp(
-            namespace_prefix=("test",), filter={"data": "value1"}, limit=10, offset=0
-        ),
-        ListNamespacesOp(match_conditions=None, max_depth=None, limit=10, offset=0),
-        GetOp(namespace=("test",), key="key3"),
-    ]
-    results = await store.abatch(ops)
-    assert not failures
-    assert len(results) == 5
-    assert isinstance(results[0], Item)
-    assert isinstance(results[0].value, dict)
-    assert results[0].value == {"data": "value1"}
-    assert results[0].key == "key1"
-    assert results[1] is None
-    assert isinstance(results[2], list)
-    assert len(results[2]) == 1
-    assert isinstance(results[3], list)
-    assert results[3] == [("test",)]
-    assert results[4] is None
-
-    ops_reordered = [
-        SearchOp(namespace_prefix=("test",), filter=None, limit=5, offset=0),
-        GetOp(namespace=("test",), key="key2"),
-        ListNamespacesOp(match_conditions=None, max_depth=None, limit=5, offset=0),
-        PutOp(namespace=("test",), key="key3", value={"data": "value3"}),
-        GetOp(namespace=("test",), key="key1"),
-    ]
-
-    results_reordered = await store.abatch(ops_reordered)
-    assert not failures
-    assert len(results_reordered) == 5
-    assert isinstance(results_reordered[0], list)
-    assert len(results_reordered[0]) == 1
-    assert isinstance(results_reordered[1], Item)
-    assert results_reordered[1].value == {"data": "value2"}
-    assert results_reordered[1].key == "key2"
-    assert isinstance(results_reordered[2], list)
-    assert results_reordered[2] == [("test",)]
-    assert results_reordered[3] is None
-    assert isinstance(results_reordered[4], Item)
-    assert results_reordered[4].value == {"data": "value1"}
-    assert results_reordered[4].key == "key1"
-
-
-async def test_batch_get_ops(store: AsyncDuckDBStore) -> None:
-    mock_connection = store.conn
-    mock_cursor = MockCursor(
-        [
-            (
-                "test.foo",
-                "key1",
-                '{"data": "value1"}',
-                datetime.now(),
-                datetime.now(),
-            ),
-            (
-                "test.bar",
-                "key2",
-                '{"data": "value2"}',
-                datetime.now(),
-                datetime.now(),
-            ),
-        ]
-    )
-    mock_connection.cursor.return_value = mock_cursor
-
-    ops = [
-        GetOp(namespace=("test",), key="key1"),
-        GetOp(namespace=("test",), key="key2"),
-        GetOp(namespace=("test",), key="key3"),
-    ]
-
-    results = await store.abatch(ops)
-
-    assert len(results) == 3
-    assert results[0] is not None
-    assert results[1] is not None
-    assert results[2] is None
-    assert results[0].key == "key1"
-    assert results[1].key == "key2"
-
-
-async def test_batch_put_ops(store: AsyncDuckDBStore) -> None:
-    mock_connection = store.conn
-    mock_cursor = MockCursor([])
-    mock_connection.cursor.return_value = mock_cursor
-
-    ops = [
-        PutOp(namespace=("test",), key="key1", value={"data": "value1"}),
-        PutOp(namespace=("test",), key="key2", value={"data": "value2"}),
-        PutOp(namespace=("test",), key="key3", value=None),
-    ]
-
-    results = await store.abatch(ops)
-
-    assert len(results) == 3
-    assert all(result is None for result in results)
-    assert mock_cursor.execute.call_count == 2
-
-
-async def test_batch_search_ops(store: AsyncDuckDBStore) -> None:
-    mock_connection = store.conn
-    mock_cursor = MockCursor(
-        [
-            (
-                "test.foo",
-                "key1",
-                '{"data": "value1"}',
-                datetime.now(),
-                datetime.now(),
-            ),
-            (
-                "test.bar",
-                "key2",
-                '{"data": "value2"}',
-                datetime.now(),
-                datetime.now(),
-            ),
-        ]
-    )
-    mock_connection.cursor.return_value = mock_cursor
-
-    ops = [
-        SearchOp(
-            namespace_prefix=("test",), filter={"data": "value1"}, limit=10, offset=0
-        ),
-        SearchOp(namespace_prefix=("test",), filter=None, limit=5, offset=0),
-    ]
-
-    results = await store.abatch(ops)
-
-    assert len(results) == 2
-    assert len(results[0]) == 2
-    assert len(results[1]) == 2
-
-
-async def test_batch_list_namespaces_ops(store: AsyncDuckDBStore) -> None:
-    mock_connection = store.conn
-    mock_cursor = MockCursor([("test.namespace1",), ("test.namespace2",)])
-    mock_connection.cursor.return_value = mock_cursor
-
-    ops = [ListNamespacesOp(match_conditions=None, max_depth=None, limit=10, offset=0)]
-
-    results = await store.abatch(ops)
-
-    assert len(results) == 1
-    assert results[0] == [("test", "namespace1"), ("test", "namespace2")]
-
-
-# The following use the actual DB connection
-
-
-async def test_basic_store_ops() -> None:
-    async with AsyncDuckDBStore.from_conn_string(":memory:") as store:
-        await store.setup()
-        namespace = ("test", "documents")
-        item_id = "doc1"
-        item_value = {"title": "Test Document", "content": "Hello, World!"}
-
-        await store.aput(namespace, item_id, item_value)
-        item = await store.aget(namespace, item_id)
-
-        assert item
-        assert item.namespace == namespace
-        assert item.key == item_id
-        assert item.value == item_value
-
-        updated_value = {
-            "title": "Updated Test Document",
-            "content": "Hello, LangGraph!",
-        }
-        await store.aput(namespace, item_id, updated_value)
-        updated_item = await store.aget(namespace, item_id)
-
-        assert updated_item.value == updated_value
-        assert updated_item.updated_at > item.updated_at
-        different_namespace = ("test", "other_documents")
-        item_in_different_namespace = await store.aget(different_namespace, item_id)
-        assert item_in_different_namespace is None
-
-        new_item_id = "doc2"
-        new_item_value = {"title": "Another Document", "content": "Greetings!"}
-        await store.aput(namespace, new_item_id, new_item_value)
-
-        search_results = await store.asearch(["test"], limit=10)
-        items = search_results
-        assert len(items) == 2
-        assert any(item.key == item_id for item in items)
-        assert any(item.key == new_item_id for item in items)
-
-        namespaces = await store.alist_namespaces(prefix=["test"])
-        assert ("test", "documents") in namespaces
-
-        await store.adelete(namespace, item_id)
-        await store.adelete(namespace, new_item_id)
-        deleted_item = await store.aget(namespace, item_id)
-        assert deleted_item is None
-
-        deleted_item = await store.aget(namespace, new_item_id)
-        assert deleted_item is None
-
-        empty_search_results = await store.asearch(["test"], limit=10)
-        assert len(empty_search_results) == 0
-
-
-async def test_list_namespaces() -> None:
-    async with AsyncDuckDBStore.from_conn_string(":memory:") as store:
-        await store.setup()
-        test_pref = str(uuid.uuid4())
-        test_namespaces = [
-            (test_pref, "test", "documents", "public", test_pref),
-            (test_pref, "test", "documents", "private", test_pref),
-            (test_pref, "test", "images", "public", test_pref),
-            (test_pref, "test", "images", "private", test_pref),
-            (test_pref, "prod", "documents", "public", test_pref),
-            (
-                test_pref,
-                "prod",
-                "documents",
-                "some",
-                "nesting",
-                "public",
-                test_pref,
-            ),
-            (test_pref, "prod", "documents", "private", test_pref),
-        ]
-
-        for namespace in test_namespaces:
-            await store.aput(namespace, "dummy", {"content": "dummy"})
-
-        prefix_result = await store.alist_namespaces(prefix=[test_pref, "test"])
-        assert len(prefix_result) == 4
-        assert all([ns[1] == "test" for ns in prefix_result])
-
-        specific_prefix_result = await store.alist_namespaces(
-            prefix=[test_pref, "test", "documents"]
-        )
-        assert len(specific_prefix_result) == 2
-        assert all([ns[1:3] == ("test", "documents") for ns in specific_prefix_result])
-
-        suffix_result = await store.alist_namespaces(suffix=["public", test_pref])
-        assert len(suffix_result) == 4
-        assert all(ns[-2] == "public" for ns in suffix_result)
-
-        prefix_suffix_result = await store.alist_namespaces(
-            prefix=[test_pref, "test"], suffix=["public", test_pref]
-        )
-        assert len(prefix_suffix_result) == 2
-        assert all(
-            ns[1] == "test" and ns[-2] == "public" for ns in prefix_suffix_result
-        )
-
-        wildcard_prefix_result = await store.alist_namespaces(
-            prefix=[test_pref, "*", "documents"]
-        )
-        assert len(wildcard_prefix_result) == 5
-        assert all(ns[2] == "documents" for ns in wildcard_prefix_result)
-
-        wildcard_suffix_result = await store.alist_namespaces(
-            suffix=["*", "public", test_pref]
-        )
-        assert len(wildcard_suffix_result) == 4
-        assert all(ns[-2] == "public" for ns in wildcard_suffix_result)
-        wildcard_single = await store.alist_namespaces(
-            suffix=["some", "*", "public", test_pref]
-        )
-        assert len(wildcard_single) == 1
-        assert wildcard_single[0] == (
-            test_pref,
-            "prod",
-            "documents",
-            "some",
-            "nesting",
-            "public",
-            test_pref,
-        )
-
-        max_depth_result = await store.alist_namespaces(max_depth=3)
-        assert all([len(ns) <= 3 for ns in max_depth_result])
-        max_depth_result = await store.alist_namespaces(
-            max_depth=4, prefix=[test_pref, "*", "documents"]
-        )
-        assert (
-            len(set(tuple(res) for res in max_depth_result))
-            == len(max_depth_result)
-            == 5
-        )
-
-        limit_result = await store.alist_namespaces(prefix=[test_pref], limit=3)
-        assert len(limit_result) == 3
-
-        offset_result = await store.alist_namespaces(prefix=[test_pref], offset=3)
-        assert len(offset_result) == len(test_namespaces) - 3
-
-        empty_prefix_result = await store.alist_namespaces(prefix=[test_pref])
-        assert len(empty_prefix_result) == len(test_namespaces)
-        assert set(tuple(ns) for ns in empty_prefix_result) == set(
-            tuple(ns) for ns in test_namespaces
-        )
-
-        for namespace in test_namespaces:
-            await store.adelete(namespace, "dummy")
-
-
-async def test_search():
-    async with AsyncDuckDBStore.from_conn_string(":memory:") as store:
-        await store.setup()
-        test_namespaces = [
-            ("test_search", "documents", "user1"),
-            ("test_search", "documents", "user2"),
-            ("test_search", "reports", "department1"),
-            ("test_search", "reports", "department2"),
-        ]
-        test_items = [
-            {"title": "Doc 1", "author": "John Doe", "tags": ["important"]},
-            {"title": "Doc 2", "author": "Jane Smith", "tags": ["draft"]},
-            {"title": "Report A", "author": "John Doe", "tags": ["final"]},
-            {"title": "Report B", "author": "Alice Johnson", "tags": ["draft"]},
-        ]
-        empty = await store.asearch(
-            (
-                "scoped",
-                "assistant_id",
-                "shared",
-                "6c5356f6-63ab-4158-868d-cd9fd14c736e",
-            ),
-            limit=10,
-            offset=0,
-        )
-        assert len(empty) == 0
-
-        for namespace, item in zip(test_namespaces, test_items):
-            await store.aput(namespace, f"item_{namespace[-1]}", item)
-
-        docs_result = await store.asearch(["test_search", "documents"])
-        assert len(docs_result) == 2
-        assert all([item.namespace[1] == "documents" for item in docs_result]), [
-            item.namespace for item in docs_result
-        ]
-
-        reports_result = await store.asearch(["test_search", "reports"])
-        assert len(reports_result) == 2
-        assert all(item.namespace[1] == "reports" for item in reports_result)
-
-        limited_result = await store.asearch(["test_search"], limit=2)
-        assert len(limited_result) == 2
-        offset_result = await store.asearch(["test_search"])
-        assert len(offset_result) == 4
-
-        offset_result = await store.asearch(["test_search"], offset=2)
-        assert len(offset_result) == 2
-        assert all(item not in limited_result for item in offset_result)
-
-        john_doe_result = await store.asearch(
-            ["test_search"], filter={"author": "John Doe"}
-        )
-        assert len(john_doe_result) == 2
-        assert all(item.value["author"] == "John Doe" for item in john_doe_result)
-
-        draft_result = await store.asearch(["test_search"], filter={"tags": ["draft"]})
-        assert len(draft_result) == 2
-        assert all("draft" in item.value["tags"] for item in draft_result)
-
-        page1 = await store.asearch(["test_search"], limit=2, offset=0)
-        page2 = await store.asearch(["test_search"], limit=2, offset=2)
-        all_items = page1 + page2
-        assert len(all_items) == 4
-        assert len(set(item.key for item in all_items)) == 4
-        empty = await store.asearch(
-            (
-                "scoped",
-                "assistant_id",
-                "shared",
-                "again",
-                "maybe",
-                "some-long",
-                "6be5cb0e-2eb4-42e6-bb6b-fba3c269db25",
-            ),
-            limit=10,
-            offset=0,
-        )
-        assert len(empty) == 0
-
-        # Test with a namespace beginning with a number (like a UUID)
-        uuid_namespace = (str(uuid.uuid4()), "documents")
-        uuid_item_id = "uuid_doc"
-        uuid_item_value = {
-            "title": "UUID Document",
-            "content": "This document has a UUID namespace.",
-        }
-
-        # Insert the item with the UUID namespace
-        await store.aput(uuid_namespace, uuid_item_id, uuid_item_value)
-
-        # Retrieve the item to verify it was stored correctly
-        retrieved_item = await store.aget(uuid_namespace, uuid_item_id)
-        assert retrieved_item is not None
-        assert retrieved_item.namespace == uuid_namespace
-        assert retrieved_item.key == uuid_item_id
-        assert retrieved_item.value == uuid_item_value
-
-        # Search for the item using the UUID namespace
-        search_result = await store.asearch([uuid_namespace[0]])
-        assert len(search_result) == 1
-        assert search_result[0].key == uuid_item_id
-        assert search_result[0].value == uuid_item_value
-
-        # Clean up: delete the item with the UUID namespace
-        await store.adelete(uuid_namespace, uuid_item_id)
-
-        # Verify the item was deleted
-        deleted_item = await store.aget(uuid_namespace, uuid_item_id)
-        assert deleted_item is None
-
-        for namespace in test_namespaces:
-            await store.adelete(namespace, f"item_{namespace[-1]}")
diff --git a/libs/checkpoint-duckdb/tests/test_store.py b/libs/checkpoint-duckdb/tests/test_store.py
deleted file mode 100644
index 47d2d573c..000000000
--- a/libs/checkpoint-duckdb/tests/test_store.py
+++ /dev/null
@@ -1,457 +0,0 @@
-# type: ignore
-import uuid
-from datetime import datetime
-from typing import Any
-from unittest.mock import MagicMock
-
-import pytest
-
-from langgraph.store.base import GetOp, Item, ListNamespacesOp, PutOp, SearchOp
-from langgraph.store.duckdb import DuckDBStore
-
-
-class MockCursor:
-    def __init__(self, fetch_result: Any) -> None:
-        self.fetch_result = fetch_result
-        self.execute = MagicMock()
-        self.fetchall = MagicMock(return_value=self.fetch_result)
-
-
-class MockConnection:
-    def __init__(self) -> None:
-        self.cursor = MagicMock()
-
-
-@pytest.fixture
-def mock_connection() -> MockConnection:
-    return MockConnection()
-
-
-@pytest.fixture
-def store(mock_connection: MockConnection) -> DuckDBStore:
-    duck_db_store = DuckDBStore(mock_connection)
-    duck_db_store.setup()
-    return duck_db_store
-
-
-def test_batch_order(store: DuckDBStore) -> None:
-    mock_connection = store.conn
-    mock_get_cursor = MockCursor(
-        [
-            (
-                "test.foo",
-                "key1",
-                '{"data": "value1"}',
-                datetime.now(),
-                datetime.now(),
-            ),
-            (
-                "test.bar",
-                "key2",
-                '{"data": "value2"}',
-                datetime.now(),
-                datetime.now(),
-            ),
-        ]
-    )
-    mock_search_cursor = MockCursor(
-        [
-            (
-                "test.foo",
-                "key1",
-                '{"data": "value1"}',
-                datetime.now(),
-                datetime.now(),
-            ),
-        ]
-    )
-    mock_list_namespaces_cursor = MockCursor(
-        [
-            ("test",),
-        ]
-    )
-
-    failures = []
-
-    def cursor_side_effect() -> Any:
-        cursor = MagicMock()
-
-        def execute_side_effect(query: str, *params: Any) -> None:
-            # My super sophisticated database.
-            if "WHERE prefix = ? AND key" in query:
-                cursor.fetchall = mock_get_cursor.fetchall
-            elif "SELECT prefix, key, value" in query:
-                cursor.fetchall = mock_search_cursor.fetchall
-            elif "SELECT DISTINCT ON (truncated_prefix)" in query:
-                cursor.fetchall = mock_list_namespaces_cursor.fetchall
-            elif "INSERT INTO " in query:
-                pass
-            else:
-                e = ValueError(f"Unmatched query: {query}")
-                failures.append(e)
-                raise e
-
-        cursor.execute = MagicMock(side_effect=execute_side_effect)
-        return cursor
-
-    mock_connection.cursor.side_effect = cursor_side_effect
-
-    ops = [
-        GetOp(namespace=("test",), key="key1"),
-        PutOp(namespace=("test",), key="key2", value={"data": "value2"}),
-        SearchOp(
-            namespace_prefix=("test",), filter={"data": "value1"}, limit=10, offset=0
-        ),
-        ListNamespacesOp(match_conditions=None, max_depth=None, limit=10, offset=0),
-        GetOp(namespace=("test",), key="key3"),
-    ]
-    results = store.batch(ops)
-    assert not failures
-    assert len(results) == 5
-    assert isinstance(results[0], Item)
-    assert isinstance(results[0].value, dict)
-    assert results[0].value == {"data": "value1"}
-    assert results[0].key == "key1"
-    assert results[1] is None
-    assert isinstance(results[2], list)
-    assert len(results[2]) == 1
-    assert isinstance(results[3], list)
-    assert results[3] == [("test",)]
-    assert results[4] is None
-
-    ops_reordered = [
-        SearchOp(namespace_prefix=("test",), filter=None, limit=5, offset=0),
-        GetOp(namespace=("test",), key="key2"),
-        ListNamespacesOp(match_conditions=None, max_depth=None, limit=5, offset=0),
-        PutOp(namespace=("test",), key="key3", value={"data": "value3"}),
-        GetOp(namespace=("test",), key="key1"),
-    ]
-
-    results_reordered = store.batch(ops_reordered)
-    assert not failures
-    assert len(results_reordered) == 5
-    assert isinstance(results_reordered[0], list)
-    assert len(results_reordered[0]) == 1
-    assert isinstance(results_reordered[1], Item)
-    assert results_reordered[1].value == {"data": "value2"}
-    assert results_reordered[1].key == "key2"
-    assert isinstance(results_reordered[2], list)
-    assert results_reordered[2] == [("test",)]
-    assert results_reordered[3] is None
-    assert isinstance(results_reordered[4], Item)
-    assert results_reordered[4].value == {"data": "value1"}
-    assert results_reordered[4].key == "key1"
-
-
-def test_batch_get_ops(store: DuckDBStore) -> None:
-    mock_connection = store.conn
-    mock_cursor = MockCursor(
-        [
-            (
-                "test.foo",
-                "key1",
-                '{"data": "value1"}',
-                datetime.now(),
-                datetime.now(),
-            ),
-            (
-                "test.bar",
-                "key2",
-                '{"data": "value2"}',
-                datetime.now(),
-                datetime.now(),
-            ),
-        ]
-    )
-    mock_connection.cursor.return_value = mock_cursor
-
-    ops = [
-        GetOp(namespace=("test",), key="key1"),
-        GetOp(namespace=("test",), key="key2"),
-        GetOp(namespace=("test",), key="key3"),
-    ]
-
-    results = store.batch(ops)
-
-    assert len(results) == 3
-    assert results[0] is not None
-    assert results[1] is not None
-    assert results[2] is None
-    assert results[0].key == "key1"
-    assert results[1].key == "key2"
-
-
-def test_batch_put_ops(store: DuckDBStore) -> None:
-    mock_connection = store.conn
-    mock_cursor = MockCursor([])
-    mock_connection.cursor.return_value = mock_cursor
-
-    ops = [
-        PutOp(namespace=("test",), key="key1", value={"data": "value1"}),
-        PutOp(namespace=("test",), key="key2", value={"data": "value2"}),
-        PutOp(namespace=("test",), key="key3", value=None),
-    ]
-
-    results = store.batch(ops)
-
-    assert len(results) == 3
-    assert all(result is None for result in results)
-    assert mock_cursor.execute.call_count == 2
-
-
-def test_batch_search_ops(store: DuckDBStore) -> None:
-    mock_connection = store.conn
-    mock_cursor = MockCursor(
-        [
-            (
-                "test.foo",
-                "key1",
-                '{"data": "value1"}',
-                datetime.now(),
-                datetime.now(),
-            ),
-            (
-                "test.bar",
-                "key2",
-                '{"data": "value2"}',
-                datetime.now(),
-                datetime.now(),
-            ),
-        ]
-    )
-    mock_connection.cursor.return_value = mock_cursor
-
-    ops = [
-        SearchOp(
-            namespace_prefix=("test",), filter={"data": "value1"}, limit=10, offset=0
-        ),
-        SearchOp(namespace_prefix=("test",), filter=None, limit=5, offset=0),
-    ]
-
-    results = store.batch(ops)
-
-    assert len(results) == 2
-    assert len(results[0]) == 2
-    assert len(results[1]) == 2
-
-
-def test_batch_list_namespaces_ops(store: DuckDBStore) -> None:
-    mock_connection = store.conn
-    mock_cursor = MockCursor([("test.namespace1",), ("test.namespace2",)])
-    mock_connection.cursor.return_value = mock_cursor
-
-    ops = [ListNamespacesOp(match_conditions=None, max_depth=None, limit=10, offset=0)]
-
-    results = store.batch(ops)
-
-    assert len(results) == 1
-    assert results[0] == [("test", "namespace1"), ("test", "namespace2")]
-
-
-def test_basic_store_ops() -> None:
-    with DuckDBStore.from_conn_string(":memory:") as store:
-        store.setup()
-        namespace = ("test", "documents")
-        item_id = "doc1"
-        item_value = {"title": "Test Document", "content": "Hello, World!"}
-
-        store.put(namespace, item_id, item_value)
-        item = store.get(namespace, item_id)
-
-        assert item
-        assert item.namespace == namespace
-        assert item.key == item_id
-        assert item.value == item_value
-
-        updated_value = {
-            "title": "Updated Test Document",
-            "content": "Hello, LangGraph!",
-        }
-        store.put(namespace, item_id, updated_value)
-        updated_item = store.get(namespace, item_id)
-
-        assert updated_item.value == updated_value
-        assert updated_item.updated_at > item.updated_at
-        different_namespace = ("test", "other_documents")
-        item_in_different_namespace = store.get(different_namespace, item_id)
-        assert item_in_different_namespace is None
-
-        new_item_id = "doc2"
-        new_item_value = {"title": "Another Document", "content": "Greetings!"}
-        store.put(namespace, new_item_id, new_item_value)
-
-        search_results = store.search(["test"], limit=10)
-        items = search_results
-        assert len(items) == 2
-        assert any(item.key == item_id for item in items)
-        assert any(item.key == new_item_id for item in items)
-
-        namespaces = store.list_namespaces(prefix=["test"])
-        assert ("test", "documents") in namespaces
-
-        store.delete(namespace, item_id)
-        store.delete(namespace, new_item_id)
-        deleted_item = store.get(namespace, item_id)
-        assert deleted_item is None
-
-        deleted_item = store.get(namespace, new_item_id)
-        assert deleted_item is None
-
-        empty_search_results = store.search(["test"], limit=10)
-        assert len(empty_search_results) == 0
-
-
-def test_list_namespaces() -> None:
-    with DuckDBStore.from_conn_string(":memory:") as store:
-        store.setup()
-        test_pref = str(uuid.uuid4())
-        test_namespaces = [
-            (test_pref, "test", "documents", "public", test_pref),
-            (test_pref, "test", "documents", "private", test_pref),
-            (test_pref, "test", "images", "public", test_pref),
-            (test_pref, "test", "images", "private", test_pref),
-            (test_pref, "prod", "documents", "public", test_pref),
-            (
-                test_pref,
-                "prod",
-                "documents",
-                "some",
-                "nesting",
-                "public",
-                test_pref,
-            ),
-            (test_pref, "prod", "documents", "private", test_pref),
-        ]
-
-        for namespace in test_namespaces:
-            store.put(namespace, "dummy", {"content": "dummy"})
-
-        prefix_result = store.list_namespaces(prefix=[test_pref, "test"])
-        assert len(prefix_result) == 4
-        assert all([ns[1] == "test" for ns in prefix_result])
-
-        specific_prefix_result = store.list_namespaces(
-            prefix=[test_pref, "test", "documents"]
-        )
-        assert len(specific_prefix_result) == 2
-        assert all([ns[1:3] == ("test", "documents") for ns in specific_prefix_result])
-
-        suffix_result = store.list_namespaces(suffix=["public", test_pref])
-        assert len(suffix_result) == 4
-        assert all(ns[-2] == "public" for ns in suffix_result)
-
-        prefix_suffix_result = store.list_namespaces(
-            prefix=[test_pref, "test"], suffix=["public", test_pref]
-        )
-        assert len(prefix_suffix_result) == 2
-        assert all(
-            ns[1] == "test" and ns[-2] == "public" for ns in prefix_suffix_result
-        )
-
-        wildcard_prefix_result = store.list_namespaces(
-            prefix=[test_pref, "*", "documents"]
-        )
-        assert len(wildcard_prefix_result) == 5
-        assert all(ns[2] == "documents" for ns in wildcard_prefix_result)
-
-        wildcard_suffix_result = store.list_namespaces(
-            suffix=["*", "public", test_pref]
-        )
-        assert len(wildcard_suffix_result) == 4
-        assert all(ns[-2] == "public" for ns in wildcard_suffix_result)
-        wildcard_single = store.list_namespaces(
-            suffix=["some", "*", "public", test_pref]
-        )
-        assert len(wildcard_single) == 1
-        assert wildcard_single[0] == (
-            test_pref,
-            "prod",
-            "documents",
-            "some",
-            "nesting",
-            "public",
-            test_pref,
-        )
-
-        max_depth_result = store.list_namespaces(max_depth=3)
-        assert all([len(ns) <= 3 for ns in max_depth_result])
-
-        max_depth_result = store.list_namespaces(
-            max_depth=4, prefix=[test_pref, "*", "documents"]
-        )
-        assert (
-            len(set(tuple(res) for res in max_depth_result))
-            == len(max_depth_result)
-            == 5
-        )
-
-        limit_result = store.list_namespaces(prefix=[test_pref], limit=3)
-        assert len(limit_result) == 3
-
-        offset_result = store.list_namespaces(prefix=[test_pref], offset=3)
-        assert len(offset_result) == len(test_namespaces) - 3
-
-        empty_prefix_result = store.list_namespaces(prefix=[test_pref])
-        assert len(empty_prefix_result) == len(test_namespaces)
-        assert set(tuple(ns) for ns in empty_prefix_result) == set(
-            tuple(ns) for ns in test_namespaces
-        )
-
-        for namespace in test_namespaces:
-            store.delete(namespace, "dummy")
-
-
-def test_search():
-    with DuckDBStore.from_conn_string(":memory:") as store:
-        store.setup()
-        test_namespaces = [
-            ("test_search", "documents", "user1"),
-            ("test_search", "documents", "user2"),
-            ("test_search", "reports", "department1"),
-            ("test_search", "reports", "department2"),
-        ]
-        test_items = [
-            {"title": "Doc 1", "author": "John Doe", "tags": ["important"]},
-            {"title": "Doc 2", "author": "Jane Smith", "tags": ["draft"]},
-            {"title": "Report A", "author": "John Doe", "tags": ["final"]},
-            {"title": "Report B", "author": "Alice Johnson", "tags": ["draft"]},
-        ]
-
-        for namespace, item in zip(test_namespaces, test_items):
-            store.put(namespace, f"item_{namespace[-1]}", item)
-
-        docs_result = store.search(["test_search", "documents"])
-        assert len(docs_result) == 2
-        assert all(
-            [item.namespace[1] == "documents" for item in docs_result]
-        ), docs_result
-
-        reports_result = store.search(["test_search", "reports"])
-        assert len(reports_result) == 2
-        assert all(item.namespace[1] == "reports" for item in reports_result)
-
-        limited_result = store.search(["test_search"], limit=2)
-        assert len(limited_result) == 2
-        offset_result = store.search(["test_search"])
-        assert len(offset_result) == 4
-
-        offset_result = store.search(["test_search"], offset=2)
-        assert len(offset_result) == 2
-        assert all(item not in limited_result for item in offset_result)
-
-        john_doe_result = store.search(["test_search"], filter={"author": "John Doe"})
-        assert len(john_doe_result) == 2
-        assert all(item.value["author"] == "John Doe" for item in john_doe_result)
-
-        draft_result = store.search(["test_search"], filter={"tags": ["draft"]})
-        assert len(draft_result) == 2
-        assert all("draft" in item.value["tags"] for item in draft_result)
-
-        page1 = store.search(["test_search"], limit=2, offset=0)
-        page2 = store.search(["test_search"], limit=2, offset=2)
-        all_items = page1 + page2
-        assert len(all_items) == 4
-        assert len(set(item.key for item in all_items)) == 4
-
-        for namespace in test_namespaces:
-            store.delete(namespace, f"item_{namespace[-1]}")
diff --git a/libs/checkpoint-duckdb/tests/test_sync.py b/libs/checkpoint-duckdb/tests/test_sync.py
deleted file mode 100644
index c63e32927..000000000
--- a/libs/checkpoint-duckdb/tests/test_sync.py
+++ /dev/null
@@ -1,111 +0,0 @@
-from typing import Any
-
-import pytest
-from langchain_core.runnables import RunnableConfig
-
-from langgraph.checkpoint.base import (
-    Checkpoint,
-    CheckpointMetadata,
-    create_checkpoint,
-    empty_checkpoint,
-)
-from langgraph.checkpoint.duckdb import DuckDBSaver
-
-
-class TestDuckDBSaver:
-    @pytest.fixture(autouse=True)
-    def setup(self) -> None:
-        # objects for test setup
-        self.config_1: RunnableConfig = {
-            "configurable": {
-                "thread_id": "thread-1",
-                # for backwards compatibility testing
-                "thread_ts": "1",
-                "checkpoint_ns": "",
-            }
-        }
-        self.config_2: RunnableConfig = {
-            "configurable": {
-                "thread_id": "thread-2",
-                "checkpoint_id": "2",
-                "checkpoint_ns": "",
-            }
-        }
-        self.config_3: RunnableConfig = {
-            "configurable": {
-                "thread_id": "thread-2",
-                "checkpoint_id": "2-inner",
-                "checkpoint_ns": "inner",
-            }
-        }
-
-        self.chkpnt_1: Checkpoint = empty_checkpoint()
-        self.chkpnt_2: Checkpoint = create_checkpoint(self.chkpnt_1, {}, 1)
-        self.chkpnt_3: Checkpoint = empty_checkpoint()
-
-        self.metadata_1: CheckpointMetadata = {
-            "source": "input",
-            "step": 2,
-            "writes": {},
-            "score": 1,
-        }
-        self.metadata_2: CheckpointMetadata = {
-            "source": "loop",
-            "step": 1,
-            "writes": {"foo": "bar"},
-            "score": None,
-        }
-        self.metadata_3: CheckpointMetadata = {}
-
-    def test_search(self) -> None:
-        with DuckDBSaver.from_conn_string(":memory:") as saver:
-            saver.setup()
-            # save checkpoints
-            saver.put(self.config_1, self.chkpnt_1, self.metadata_1, {})
-            saver.put(self.config_2, self.chkpnt_2, self.metadata_2, {})
-            saver.put(self.config_3, self.chkpnt_3, self.metadata_3, {})
-
-            # call method / assertions
-            query_1 = {"source": "input"}  # search by 1 key
-            query_2 = {
-                "step": 1,
-                "writes": {"foo": "bar"},
-            }  # search by multiple keys
-            query_3: dict[str, Any] = {}  # search by no keys, return all checkpoints
-            query_4 = {"source": "update", "step": 1}  # no match
-
-            search_results_1 = list(saver.list(None, filter=query_1))
-            assert len(search_results_1) == 1
-            assert search_results_1[0].metadata == self.metadata_1
-
-            search_results_2 = list(saver.list(None, filter=query_2))
-            assert len(search_results_2) == 1
-            assert search_results_2[0].metadata == self.metadata_2
-
-            search_results_3 = list(saver.list(None, filter=query_3))
-            assert len(search_results_3) == 3
-
-            search_results_4 = list(saver.list(None, filter=query_4))
-            assert len(search_results_4) == 0
-
-            # search by config (defaults to checkpoints across all namespaces)
-            search_results_5 = list(
-                saver.list({"configurable": {"thread_id": "thread-2"}})
-            )
-            assert len(search_results_5) == 2
-            assert {
-                search_results_5[0].config["configurable"]["checkpoint_ns"],
-                search_results_5[1].config["configurable"]["checkpoint_ns"],
-            } == {"", "inner"}
-
-            # TODO: test before and limit params
-
-    def test_null_chars(self) -> None:
-        with DuckDBSaver.from_conn_string(":memory:") as saver:
-            saver.setup()
-            config = saver.put(self.config_1, self.chkpnt_1, {"my_key": "\x00abc"}, {})
-            assert saver.get_tuple(config).metadata["my_key"] == "abc"  # type: ignore
-            assert (
-                list(saver.list(None, filter={"my_key": "abc"}))[0].metadata["my_key"]  # type: ignore
-                == "abc"
-            )
diff --git a/libs/langgraph/langgraph/pregel/io.py b/libs/langgraph/langgraph/pregel/io.py
index d3fbf1023..363ff375b 100644
--- a/libs/langgraph/langgraph/pregel/io.py
+++ b/libs/langgraph/langgraph/pregel/io.py
@@ -10,6 +10,7 @@
     EMPTY_SEQ,
     ERROR,
     INTERRUPT,
+    MISSING,
     NULL_TASK_ID,
     RESUME,
     RETURN,
@@ -173,7 +174,8 @@ def map_output_updates(
         return
     updated: list[tuple[str, Any]] = []
     for task, writes in output_tasks:
-        if rtn := next((value for chan, value in writes if chan == RETURN), None):
+        rtn = next((value for chan, value in writes if chan == RETURN), MISSING)
+        if rtn is not MISSING:
             updated.append((task.name, rtn))
         elif isinstance(output_channels, str):
             updated.extend(
diff --git a/libs/langgraph/langgraph/pregel/runner.py b/libs/langgraph/langgraph/pregel/runner.py
index 4a7114e46..790d22a06 100644
--- a/libs/langgraph/langgraph/pregel/runner.py
+++ b/libs/langgraph/langgraph/pregel/runner.py
@@ -1,6 +1,5 @@
 import asyncio
 import concurrent.futures
-import threading
 import time
 from functools import partial
 from typing import (
@@ -22,9 +21,11 @@
 from langgraph.constants import (
     CONF,
     CONFIG_KEY_CALL,
+    CONFIG_KEY_SCRATCHPAD,
     CONFIG_KEY_SEND,
     ERROR,
     INTERRUPT,
+    MISSING,
     NO_WRITES,
     PUSH,
     RESUME,
@@ -70,8 +71,6 @@ def tick(
         retry_policy: Optional[RetryPolicy] = None,
         get_waiter: Optional[Callable[[], concurrent.futures.Future[None]]] = None,
     ) -> Iterator[None]:
-        locks: dict[str, threading.Lock] = {}
-
         def writer(
             task: PregelExecutableTask,
             writes: Sequence[tuple[str, Any]],
@@ -81,24 +80,19 @@ def writer(
             if all(w[0] != PUSH for w in writes):
                 return task.config[CONF][CONFIG_KEY_SEND](writes)
 
-            if task.id not in locks:
-                locks[task.id] = threading.Lock()
-            with locks[task.id]:
-                prev_length = len(task.writes)
-                # delegate to the underlying writer
-                task.config[CONF][CONFIG_KEY_SEND](writes)
-                # confirm no other concurrent writes were added
-                assert len(task.writes) == prev_length + len(writes)
             # schedule PUSH tasks, collect futures
+            scratchpad = task.config[CONF][CONFIG_KEY_SCRATCHPAD]
+            scratchpad.setdefault("call_counter", 0)
             rtn: dict[int, Optional[concurrent.futures.Future]] = {}
-            for idx, w in enumerate(writes, start=prev_length):
+            for idx, w in enumerate(writes):
                 # bail if not a PUSH write
                 if w[0] != PUSH:
                     continue
                 # schedule the next task, if the callback returns one
-                if next_task := self.schedule_task(
-                    task, idx, calls[idx - prev_length] if calls else None
-                ):
+                wcall = calls[idx] if calls else None
+                cnt = scratchpad["call_counter"]
+                scratchpad["call_counter"] += 1
+                if next_task := self.schedule_task(task, cnt, wcall):
                     if fut := next(
                         (
                             f
@@ -109,13 +103,19 @@ def writer(
                     ):
                         # if the parent task was retried,
                         # the next task might already be running
-                        rtn[idx - prev_length] = fut
+                        rtn[idx] = fut
                     elif next_task.writes:
                         # if it already ran, return the result
                         fut = concurrent.futures.Future()
-                        if val := next(v for c, v in next_task.writes if c == RETURN):
+                        if (
+                            val := next(
+                                (v for c, v in next_task.writes if c == RETURN), MISSING
+                            )
+                        ) and val is not MISSING:
                             fut.set_result(val)
-                        elif exc := next(v for c, v in next_task.writes if c == ERROR):
+                        elif exc := next(
+                            (v for c, v in next_task.writes if c == ERROR), None
+                        ):
                             fut.set_exception(
                                 exc
                                 if isinstance(exc, BaseException)
@@ -123,7 +123,7 @@ def writer(
                             )
                         else:
                             fut.set_result(None)
-                        rtn[idx - prev_length] = fut
+                        rtn[idx] = fut
                     else:
                         # schedule the next task
                         fut = self.submit(
@@ -141,7 +141,7 @@ def writer(
                         )
                         fut.add_done_callback(partial(self.commit, next_task))
                         futures[fut] = next_task
-                        rtn[idx - prev_length] = fut
+                        rtn[idx] = fut
             return [rtn.get(i) for i in range(len(writes))]
 
         def call(
@@ -189,6 +189,8 @@ def call(
                     raise
             if not futures:  # maybe `t` schuduled another task
                 return
+            else:
+                tasks = ()  # don't reschedule this task
         # add waiter task if requested
         if get_waiter is not None:
             futures[get_waiter()] = None
@@ -255,8 +257,6 @@ async def atick(
         retry_policy: Optional[RetryPolicy] = None,
         get_waiter: Optional[Callable[[], asyncio.Future[None]]] = None,
     ) -> AsyncIterator[None]:
-        locks: dict[str, threading.Lock] = {}
-
         def writer(
             task: PregelExecutableTask,
             writes: Sequence[tuple[str, Any]],
@@ -266,23 +266,19 @@ def writer(
             if all(w[0] != PUSH for w in writes):
                 return task.config[CONF][CONFIG_KEY_SEND](writes)
 
-            if task.id not in locks:
-                locks[task.id] = threading.Lock()
-            with locks[task.id]:
-                prev_length = len(task.writes)
-                # delegate to the underlying writer
-                task.config[CONF][CONFIG_KEY_SEND](writes)
-                # confirm no other concurrent writes were added
-                assert len(task.writes) == prev_length + len(writes)
             # schedule PUSH tasks, collect futures
+            scratchpad = task.config[CONF][CONFIG_KEY_SCRATCHPAD]
+            scratchpad.setdefault("call_counter", 0)
             rtn: dict[int, Optional[asyncio.Future]] = {}
-            for idx, w in enumerate(writes, start=prev_length):
+            for idx, w in enumerate(writes):
                 # bail if not a PUSH write
                 if w[0] != PUSH:
                     continue
                 # schedule the next task, if the callback returns one
-                wcall = calls[idx - prev_length] if calls is not None else None
-                if next_task := self.schedule_task(task, idx, wcall):
+                wcall = calls[idx] if calls is not None else None
+                cnt = scratchpad["call_counter"]
+                scratchpad["call_counter"] += 1
+                if next_task := self.schedule_task(task, cnt, wcall):
                     # if the parent task was retried,
                     # the next task might already be running
                     if fut := next(
@@ -295,13 +291,19 @@ def writer(
                     ):
                         # if the parent task was retried,
                         # the next task might already be running
-                        rtn[idx - prev_length] = fut
+                        rtn[idx] = fut
                     elif next_task.writes:
                         # if it already ran, return the result
                         fut = asyncio.Future()
-                        if val := next(v for c, v in next_task.writes if c == RETURN):
+                        if (
+                            val := next(
+                                (v for c, v in next_task.writes if c == RETURN), MISSING
+                            )
+                        ) and val is not MISSING:
                             fut.set_result(val)
-                        elif exc := next(v for c, v in next_task.writes if c == ERROR):
+                        elif exc := next(
+                            (v for c, v in next_task.writes if c == ERROR), None
+                        ):
                             fut.set_exception(
                                 exc
                                 if isinstance(exc, BaseException)
@@ -309,7 +311,7 @@ def writer(
                             )
                         else:
                             fut.set_result(None)
-                        rtn[idx - prev_length] = fut
+                        rtn[idx] = fut
                     else:
                         # schedule the next task
                         fut = cast(
@@ -333,7 +335,7 @@ def writer(
                         )
                         fut.add_done_callback(partial(self.commit, next_task))
                         futures[fut] = next_task
-                        rtn[idx - prev_length] = fut
+                        rtn[idx] = fut
             return [rtn.get(i) for i in range(len(writes))]
 
         def call(
@@ -388,6 +390,8 @@ def call(
                     raise
             if not futures:  # maybe `t` schuduled another task
                 return
+            else:
+                tasks = ()  # don't reschedule this task
         # add waiter task if requested
         if get_waiter is not None:
             futures[get_waiter()] = None
diff --git a/libs/langgraph/langgraph/types.py b/libs/langgraph/langgraph/types.py
index 066d7d106..0b9fb9b1b 100644
--- a/libs/langgraph/langgraph/types.py
+++ b/libs/langgraph/langgraph/types.py
@@ -342,9 +342,12 @@ def __init__(
 
 
 class PregelScratchpad(TypedDict, total=False):
+    # interrupt
     interrupt_counter: int
     used_null_resume: bool
     resume: list[Any]
+    # call
+    call_counter: int
 
 
 def interrupt(value: Any) -> Any:
diff --git a/libs/langgraph/poetry.lock b/libs/langgraph/poetry.lock
index 09f61d3df..7a9e9eb79 100644
--- a/libs/langgraph/poetry.lock
+++ b/libs/langgraph/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.0.0 and should not be changed by hand.
 
 [[package]]
 name = "aiosqlite"
@@ -6,6 +6,7 @@ version = "0.20.0"
 description = "asyncio bridge to the standard sqlite3 module"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "aiosqlite-0.20.0-py3-none-any.whl", hash = "sha256:36a1deaca0cac40ebe32aac9977a6e2bbc7f5189f23f4a54d5908986729e5bd6"},
     {file = "aiosqlite-0.20.0.tar.gz", hash = "sha256:6d35c8c256637f4672f843c31021464090805bf925385ac39473fb16eaaca3d7"},
@@ -24,6 +25,7 @@ version = "0.7.0"
 description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
     {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
     {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
@@ -35,6 +37,7 @@ version = "4.6.2.post1"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "dev"]
 files = [
     {file = "anyio-4.6.2.post1-py3-none-any.whl", hash = "sha256:6d170c36fba3bdd840c73d3868c1e777e33676a69c3a72cf0a0d5d6d8009b61d"},
     {file = "anyio-4.6.2.post1.tar.gz", hash = "sha256:4c8bc31ccdb51c7f7bd251f51c609e038d63e34219b44aa86e47576389880b4c"},
@@ -57,6 +60,8 @@ version = "0.1.4"
 description = "Disable App Nap on macOS >= 10.9"
 optional = false
 python-versions = ">=3.6"
+groups = ["dev"]
+markers = "platform_system == \"Darwin\""
 files = [
     {file = "appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c"},
     {file = "appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee"},
@@ -68,6 +73,7 @@ version = "23.1.0"
 description = "Argon2 for Python"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
     {file = "argon2_cffi-23.1.0-py3-none-any.whl", hash = "sha256:c670642b78ba29641818ab2e68bd4e6a78ba53b7eff7b4c3815ae16abf91c7ea"},
     {file = "argon2_cffi-23.1.0.tar.gz", hash = "sha256:879c3e79a2729ce768ebb7d36d4609e3a78a4ca2ec3a9f12286ca057e3d0db08"},
@@ -88,6 +94,7 @@ version = "21.2.0"
 description = "Low-level CFFI bindings for Argon2"
 optional = false
 python-versions = ">=3.6"
+groups = ["dev"]
 files = [
     {file = "argon2-cffi-bindings-21.2.0.tar.gz", hash = "sha256:bb89ceffa6c791807d1305ceb77dbfacc5aa499891d2c55661c6459651fc39e3"},
     {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:ccb949252cb2ab3a08c02024acb77cfb179492d5701c7cbdbfd776124d4d2367"},
@@ -125,6 +132,7 @@ version = "1.3.0"
 description = "Better dates & times for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "arrow-1.3.0-py3-none-any.whl", hash = "sha256:c728b120ebc00eb84e01882a6f5e7927a53960aa990ce7dd2b10f39005a67f80"},
     {file = "arrow-1.3.0.tar.gz", hash = "sha256:d4540617648cb5f895730f1ad8c82a65f2dad0166f57b75f3ca54759c4d67a85"},
@@ -144,6 +152,7 @@ version = "2.4.1"
 description = "Annotate AST trees with source code positions"
 optional = false
 python-versions = "*"
+groups = ["dev"]
 files = [
     {file = "asttokens-2.4.1-py2.py3-none-any.whl", hash = "sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24"},
     {file = "asttokens-2.4.1.tar.gz", hash = "sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0"},
@@ -162,6 +171,7 @@ version = "2.0.4"
 description = "Simple LRU cache for asyncio"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "async-lru-2.0.4.tar.gz", hash = "sha256:b8a59a5df60805ff63220b2a0c5b5393da5521b113cd5465a44eb037d81a5627"},
     {file = "async_lru-2.0.4-py3-none-any.whl", hash = "sha256:ff02944ce3c288c5be660c42dbcca0742b32c3b279d6dceda655190240b99224"},
@@ -176,6 +186,7 @@ version = "24.2.0"
 description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
     {file = "attrs-24.2.0-py3-none-any.whl", hash = "sha256:81921eb96de3191c8258c199618104dd27ac608d9366f5e35d011eae1867ede2"},
     {file = "attrs-24.2.0.tar.gz", hash = "sha256:5cfb1b9148b5b086569baec03f20d7b6bf3bcacc9a42bebf87ffaaca362f6346"},
@@ -195,6 +206,7 @@ version = "2.16.0"
 description = "Internationalization utilities"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "babel-2.16.0-py3-none-any.whl", hash = "sha256:368b5b98b37c06b7daf6696391c3240c938b37767d4584413e8438c5c435fa8b"},
     {file = "babel-2.16.0.tar.gz", hash = "sha256:d1f3554ca26605fe173f3de0c65f750f5a42f924499bf134de6423582298e316"},
@@ -209,6 +221,7 @@ version = "4.12.3"
 description = "Screen-scraping library"
 optional = false
 python-versions = ">=3.6.0"
+groups = ["dev"]
 files = [
     {file = "beautifulsoup4-4.12.3-py3-none-any.whl", hash = "sha256:b80878c9f40111313e55da8ba20bdba06d8fa3969fc68304167741bbf9e082ed"},
     {file = "beautifulsoup4-4.12.3.tar.gz", hash = "sha256:74e3d1928edc070d21748185c46e3fb33490f22f52a3addee9aee0f4f7781051"},
@@ -230,6 +243,7 @@ version = "6.2.0"
 description = "An easy safelist-based HTML-sanitizing tool."
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
 files = [
     {file = "bleach-6.2.0-py3-none-any.whl", hash = "sha256:117d9c6097a7c3d22fd578fcd8d35ff1e125df6736f554da4e432fdd63f31e5e"},
     {file = "bleach-6.2.0.tar.gz", hash = "sha256:123e894118b8a599fd80d3ec1a6d4cc7ce4e5882b1317a7e1ba69b56e95f991f"},
@@ -247,6 +261,7 @@ version = "2024.8.30"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
+groups = ["main", "dev"]
 files = [
     {file = "certifi-2024.8.30-py3-none-any.whl", hash = "sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8"},
     {file = "certifi-2024.8.30.tar.gz", hash = "sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9"},
@@ -258,6 +273,7 @@ version = "1.17.1"
 description = "Foreign Function Interface for Python calling C code."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "cffi-1.17.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:df8b1c11f177bc2313ec4b2d46baec87a5f3e71fc8b45dab2ee7cae86d9aba14"},
     {file = "cffi-1.17.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8f2cdc858323644ab277e9bb925ad72ae0e67f69e804f4898c070998d50b1a67"},
@@ -337,6 +353,7 @@ version = "3.4.0"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
 python-versions = ">=3.7.0"
+groups = ["main", "dev"]
 files = [
     {file = "charset_normalizer-3.4.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:4f9fc98dad6c2eaa32fc3af1417d95b5e3d08aff968df0cd320066def971f9a6"},
     {file = "charset_normalizer-3.4.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0de7b687289d3c1b3e8660d0741874abe7888100efe14bd0f9fd7141bcbda92b"},
@@ -451,6 +468,8 @@ version = "0.4.6"
 description = "Cross-platform colored terminal text."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
+groups = ["dev"]
+markers = "sys_platform == \"win32\""
 files = [
     {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
@@ -462,6 +481,7 @@ version = "0.2.2"
 description = "Jupyter Python Comm implementation, for usage in ipykernel, xeus-python etc."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "comm-0.2.2-py3-none-any.whl", hash = "sha256:e6fb86cb70ff661ee8c9c14e7d36d6de3b4066f1441be4063df9c5009f0a64d3"},
     {file = "comm-0.2.2.tar.gz", hash = "sha256:3fd7a84065306e07bea1773df6eb8282de51ba82f77c72f9c85716ab11fe980e"},
@@ -479,6 +499,7 @@ version = "7.6.4"
 description = "Code coverage measurement for Python"
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
 files = [
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@@ -556,6 +577,7 @@ version = "1.8.7"
 description = "An implementation of the Debug Adapter Protocol for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
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@@ -591,6 +613,7 @@ version = "5.1.1"
 description = "Decorators for Humans"
 optional = false
 python-versions = ">=3.5"
+groups = ["dev"]
 files = [
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@@ -602,78 +625,20 @@ version = "0.7.1"
 description = "XML bomb protection for Python stdlib modules"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["dev"]
 files = [
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 ]
 
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-optional = false
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-    {file = "duckdb-1.1.2.tar.gz", hash = "sha256:c8232861dc8ec6daa29067056d5a0e5789919f2ab22ab792787616d7cd52f02a"},
-]
-
 [[package]]
 name = "exceptiongroup"
 version = "1.2.2"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
+markers = "python_version < \"3.11\""
 files = [
     {file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"},
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@@ -688,6 +653,7 @@ version = "2.1.1"
 description = "execnet: rapid multi-Python deployment"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "execnet-2.1.1-py3-none-any.whl", hash = "sha256:26dee51f1b80cebd6d0ca8e74dd8745419761d3bef34163928cbebbdc4749fdc"},
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@@ -702,6 +668,7 @@ version = "2.1.0"
 description = "Get the currently executing AST node of a frame, and other information"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "executing-2.1.0-py2.py3-none-any.whl", hash = "sha256:8d63781349375b5ebccc3142f4b30350c0cd9c79f921cde38be2be4637e98eaf"},
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@@ -716,6 +683,7 @@ version = "2.20.0"
 description = "Fastest Python implementation of JSON schema"
 optional = false
 python-versions = "*"
+groups = ["dev"]
 files = [
     {file = "fastjsonschema-2.20.0-py3-none-any.whl", hash = "sha256:5875f0b0fa7a0043a91e93a9b8f793bcbbba9691e7fd83dca95c28ba26d21f0a"},
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@@ -730,6 +698,7 @@ version = "1.5.1"
 description = "Validates fully-qualified domain names against RFC 1123, so that they are acceptable to modern bowsers"
 optional = false
 python-versions = ">=2.7, !=3.0, !=3.1, !=3.2, !=3.3, !=3.4, <4"
+groups = ["dev"]
 files = [
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@@ -741,6 +710,7 @@ version = "0.14.0"
 description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
 files = [
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@@ -752,6 +722,7 @@ version = "1.0.6"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
     {file = "httpcore-1.0.6-py3-none-any.whl", hash = "sha256:27b59625743b85577a8c0e10e55b50b5368a4f2cfe8cc7bcfa9cf00829c2682f"},
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@@ -773,6 +744,7 @@ version = "0.26.0"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
     {file = "httpx-0.26.0-py3-none-any.whl", hash = "sha256:8915f5a3627c4d47b73e8202457cb28f1266982d1159bd5779d86a80c0eab1cd"},
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@@ -797,6 +769,7 @@ version = "3.10"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.6"
+groups = ["main", "dev"]
 files = [
     {file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
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@@ -811,6 +784,8 @@ version = "8.5.0"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version < \"3.10\""
 files = [
     {file = "importlib_metadata-8.5.0-py3-none-any.whl", hash = "sha256:45e54197d28b7a7f1559e60b95e7c567032b602131fbd588f1497f47880aa68b"},
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@@ -834,6 +809,7 @@ version = "2.0.0"
 description = "brain-dead simple config-ini parsing"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
     {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
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@@ -845,6 +821,7 @@ version = "6.29.5"
 description = "IPython Kernel for Jupyter"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "ipykernel-6.29.5-py3-none-any.whl", hash = "sha256:afdb66ba5aa354b09b91379bac28ae4afebbb30e8b39510c9690afb7a10421b5"},
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@@ -878,6 +855,7 @@ version = "8.18.1"
 description = "IPython: Productive Interactive Computing"
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
 files = [
     {file = "ipython-8.18.1-py3-none-any.whl", hash = "sha256:e8267419d72d81955ec1177f8a29aaa90ac80ad647499201119e2f05e99aa397"},
     {file = "ipython-8.18.1.tar.gz", hash = "sha256:ca6f079bb33457c66e233e4580ebfc4128855b4cf6370dddd73842a9563e8a27"},
@@ -915,6 +893,7 @@ version = "8.1.5"
 description = "Jupyter interactive widgets"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
     {file = "ipywidgets-8.1.5-py3-none-any.whl", hash = "sha256:3290f526f87ae6e77655555baba4f36681c555b8bdbbff430b70e52c34c86245"},
     {file = "ipywidgets-8.1.5.tar.gz", hash = "sha256:870e43b1a35656a80c18c9503bbf2d16802db1cb487eec6fab27d683381dde17"},
@@ -936,6 +915,7 @@ version = "20.11.0"
 description = "Operations with ISO 8601 durations"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
     {file = "isoduration-20.11.0-py3-none-any.whl", hash = "sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042"},
     {file = "isoduration-20.11.0.tar.gz", hash = "sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9"},
@@ -950,6 +930,7 @@ version = "0.19.1"
 description = "An autocompletion tool for Python that can be used for text editors."
 optional = false
 python-versions = ">=3.6"
+groups = ["dev"]
 files = [
     {file = "jedi-0.19.1-py2.py3-none-any.whl", hash = "sha256:e983c654fe5c02867aef4cdfce5a2fbb4a50adc0af145f70504238f18ef5e7e0"},
     {file = "jedi-0.19.1.tar.gz", hash = "sha256:cf0496f3651bc65d7174ac1b7d043eff454892c708a87d1b683e57b569927ffd"},
@@ -969,6 +950,7 @@ version = "3.1.5"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
     {file = "jinja2-3.1.5-py3-none-any.whl", hash = "sha256:aba0f4dc9ed8013c424088f68a5c226f7d6097ed89b246d7749c2ec4175c6adb"},
     {file = "jinja2-3.1.5.tar.gz", hash = "sha256:8fefff8dc3034e27bb80d67c671eb8a9bc424c0ef4c0826edbff304cceff43bb"},
@@ -986,6 +968,7 @@ version = "0.9.25"
 description = "A Python implementation of the JSON5 data format."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "json5-0.9.25-py3-none-any.whl", hash = "sha256:34ed7d834b1341a86987ed52f3f76cd8ee184394906b6e22a1e0deb9ab294e8f"},
     {file = "json5-0.9.25.tar.gz", hash = "sha256:548e41b9be043f9426776f05df8635a00fe06104ea51ed24b67f908856e151ae"},
@@ -997,6 +980,7 @@ version = "1.33"
 description = "Apply JSON-Patches (RFC 6902)"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
+groups = ["main", "dev"]
 files = [
     {file = "jsonpatch-1.33-py2.py3-none-any.whl", hash = "sha256:0ae28c0cd062bbd8b8ecc26d7d164fbbea9652a1a3693f3b956c1eae5145dade"},
     {file = "jsonpatch-1.33.tar.gz", hash = "sha256:9fcd4009c41e6d12348b4a0ff2563ba56a2923a7dfee731d004e212e1ee5030c"},
@@ -1011,6 +995,7 @@ version = "3.0.0"
 description = "Identify specific nodes in a JSON document (RFC 6901)"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
 files = [
     {file = "jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942"},
     {file = "jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"},
@@ -1022,6 +1007,7 @@ version = "4.23.0"
 description = "An implementation of JSON Schema validation for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "jsonschema-4.23.0-py3-none-any.whl", hash = "sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566"},
     {file = "jsonschema-4.23.0.tar.gz", hash = "sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4"},
@@ -1051,6 +1037,7 @@ version = "2024.10.1"
 description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
 files = [
     {file = "jsonschema_specifications-2024.10.1-py3-none-any.whl", hash = "sha256:a09a0680616357d9a0ecf05c12ad234479f549239d0f5b55f3deea67475da9bf"},
     {file = "jsonschema_specifications-2024.10.1.tar.gz", hash = "sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272"},
@@ -1065,6 +1052,7 @@ version = "1.1.1"
 description = "Jupyter metapackage. Install all the Jupyter components in one go."
 optional = false
 python-versions = "*"
+groups = ["dev"]
 files = [
     {file = "jupyter-1.1.1-py2.py3-none-any.whl", hash = "sha256:7a59533c22af65439b24bbe60373a4e95af8f16ac65a6c00820ad378e3f7cc83"},
     {file = "jupyter-1.1.1.tar.gz", hash = "sha256:d55467bceabdea49d7e3624af7e33d59c37fff53ed3a350e1ac957bed731de7a"},
@@ -1084,6 +1072,7 @@ version = "8.6.3"
 description = "Jupyter protocol implementation and client libraries"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "jupyter_client-8.6.3-py3-none-any.whl", hash = "sha256:e8a19cc986cc45905ac3362915f410f3af85424b4c0905e94fa5f2cb08e8f23f"},
     {file = "jupyter_client-8.6.3.tar.gz", hash = "sha256:35b3a0947c4a6e9d589eb97d7d4cd5e90f910ee73101611f01283732bd6d9419"},
@@ -1107,6 +1096,7 @@ version = "6.6.3"
 description = "Jupyter terminal console"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
     {file = "jupyter_console-6.6.3-py3-none-any.whl", hash = "sha256:309d33409fcc92ffdad25f0bcdf9a4a9daa61b6f341177570fdac03de5352485"},
     {file = "jupyter_console-6.6.3.tar.gz", hash = "sha256:566a4bf31c87adbfadf22cdf846e3069b59a71ed5da71d6ba4d8aaad14a53539"},
@@ -1131,6 +1121,7 @@ version = "5.7.2"
 description = "Jupyter core package. A base package on which Jupyter projects rely."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "jupyter_core-5.7.2-py3-none-any.whl", hash = "sha256:4f7315d2f6b4bcf2e3e7cb6e46772eba760ae459cd1f59d29eb57b0a01bd7409"},
     {file = "jupyter_core-5.7.2.tar.gz", hash = "sha256:aa5f8d32bbf6b431ac830496da7392035d6f61b4f54872f15c4bd2a9c3f536d9"},
@@ -1151,6 +1142,7 @@ version = "0.10.0"
 description = "Jupyter Event System library"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "jupyter_events-0.10.0-py3-none-any.whl", hash = "sha256:4b72130875e59d57716d327ea70d3ebc3af1944d3717e5a498b8a06c6c159960"},
     {file = "jupyter_events-0.10.0.tar.gz", hash = "sha256:670b8229d3cc882ec782144ed22e0d29e1c2d639263f92ca8383e66682845e22"},
@@ -1176,6 +1168,7 @@ version = "2.2.5"
 description = "Multi-Language Server WebSocket proxy for Jupyter Notebook/Lab server"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "jupyter-lsp-2.2.5.tar.gz", hash = "sha256:793147a05ad446f809fd53ef1cd19a9f5256fd0a2d6b7ce943a982cb4f545001"},
     {file = "jupyter_lsp-2.2.5-py3-none-any.whl", hash = "sha256:45fbddbd505f3fbfb0b6cb2f1bc5e15e83ab7c79cd6e89416b248cb3c00c11da"},
@@ -1191,6 +1184,7 @@ version = "2.14.2"
 description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "jupyter_server-2.14.2-py3-none-any.whl", hash = "sha256:47ff506127c2f7851a17bf4713434208fc490955d0e8632e95014a9a9afbeefd"},
     {file = "jupyter_server-2.14.2.tar.gz", hash = "sha256:66095021aa9638ced276c248b1d81862e4c50f292d575920bbe960de1c56b12b"},
@@ -1227,6 +1221,7 @@ version = "0.5.3"
 description = "A Jupyter Server Extension Providing Terminals."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "jupyter_server_terminals-0.5.3-py3-none-any.whl", hash = "sha256:41ee0d7dc0ebf2809c668e0fc726dfaf258fcd3e769568996ca731b6194ae9aa"},
     {file = "jupyter_server_terminals-0.5.3.tar.gz", hash = "sha256:5ae0295167220e9ace0edcfdb212afd2b01ee8d179fe6f23c899590e9b8a5269"},
@@ -1246,6 +1241,7 @@ version = "4.2.5"
 description = "JupyterLab computational environment"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "jupyterlab-4.2.5-py3-none-any.whl", hash = "sha256:73b6e0775d41a9fee7ee756c80f58a6bed4040869ccc21411dc559818874d321"},
     {file = "jupyterlab-4.2.5.tar.gz", hash = "sha256:ae7f3a1b8cb88b4f55009ce79fa7c06f99d70cd63601ee4aa91815d054f46f75"},
@@ -1281,6 +1277,7 @@ version = "0.3.0"
 description = "Pygments theme using JupyterLab CSS variables"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "jupyterlab_pygments-0.3.0-py3-none-any.whl", hash = "sha256:841a89020971da1d8693f1a99997aefc5dc424bb1b251fd6322462a1b8842780"},
     {file = "jupyterlab_pygments-0.3.0.tar.gz", hash = "sha256:721aca4d9029252b11cfa9d185e5b5af4d54772bb8072f9b7036f4170054d35d"},
@@ -1292,6 +1289,7 @@ version = "2.27.3"
 description = "A set of server components for JupyterLab and JupyterLab like applications."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "jupyterlab_server-2.27.3-py3-none-any.whl", hash = "sha256:e697488f66c3db49df675158a77b3b017520d772c6e1548c7d9bcc5df7944ee4"},
     {file = "jupyterlab_server-2.27.3.tar.gz", hash = "sha256:eb36caca59e74471988f0ae25c77945610b887f777255aa21f8065def9e51ed4"},
@@ -1318,6 +1316,7 @@ version = "3.0.13"
 description = "Jupyter interactive widgets for JupyterLab"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
     {file = "jupyterlab_widgets-3.0.13-py3-none-any.whl", hash = "sha256:e3cda2c233ce144192f1e29914ad522b2f4c40e77214b0cc97377ca3d323db54"},
     {file = "jupyterlab_widgets-3.0.13.tar.gz", hash = "sha256:a2966d385328c1942b683a8cd96b89b8dd82c8b8f81dda902bb2bc06d46f5bed"},
@@ -1329,6 +1328,7 @@ version = "0.3.25"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.9"
+groups = ["main", "dev"]
 files = [
     {file = "langchain_core-0.3.25-py3-none-any.whl", hash = "sha256:e10581c6c74ba16bdc6fdf16b00cced2aa447cc4024ed19746a1232918edde38"},
     {file = "langchain_core-0.3.25.tar.gz", hash = "sha256:fdb8df41e5cdd928c0c2551ebbde1cea770ee3c64598395367ad77ddf9acbae7"},
@@ -1352,6 +1352,7 @@ version = "2.0.9"
 description = "Library with base interfaces for LangGraph checkpoint savers."
 optional = false
 python-versions = "^3.9.0,<4.0"
+groups = ["main", "dev"]
 files = []
 develop = true
 
@@ -1363,29 +1364,13 @@ msgpack = "^1.1.0"
 type = "directory"
 url = "../checkpoint"
 
-[[package]]
-name = "langgraph-checkpoint-duckdb"
-version = "2.0.1"
-description = "Library with a DuckDB implementation of LangGraph checkpoint saver."
-optional = false
-python-versions = "^3.9.0,<4.0"
-files = []
-develop = true
-
-[package.dependencies]
-duckdb = ">=1.1.2"
-langgraph-checkpoint = "^2.0.2"
-
-[package.source]
-type = "directory"
-url = "../checkpoint-duckdb"
-
 [[package]]
 name = "langgraph-checkpoint-postgres"
-version = "2.0.8"
+version = "2.0.11"
 description = "Library with a Postgres implementation of LangGraph checkpoint saver."
 optional = false
 python-versions = "^3.9.0,<4.0"
+groups = ["dev"]
 files = []
 develop = true
 
@@ -1401,10 +1386,11 @@ url = "../checkpoint-postgres"
 
 [[package]]
 name = "langgraph-checkpoint-sqlite"
-version = "2.0.1"
+version = "2.0.2"
 description = "Library with a SQLite implementation of LangGraph checkpoint saver."
 optional = false
 python-versions = "^3.9.0"
+groups = ["dev"]
 files = []
 develop = true
 
@@ -1418,10 +1404,11 @@ url = "../checkpoint-sqlite"
 
 [[package]]
 name = "langgraph-sdk"
-version = "0.1.47"
+version = "0.1.51"
 description = "SDK for interacting with LangGraph API"
 optional = false
 python-versions = "^3.9.0,<4.0"
+groups = ["main", "dev"]
 files = []
 develop = true
 
@@ -1439,6 +1426,7 @@ version = "0.1.138"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
+groups = ["main", "dev"]
 files = [
     {file = "langsmith-0.1.138-py3-none-any.whl", hash = "sha256:5c2bd5c11c75f7b3d06a0f06b115186e7326ca969fd26d66ffc65a0669012aee"},
     {file = "langsmith-0.1.138.tar.gz", hash = "sha256:1ecf613bb52f6bf17f1510e24ad8b70d4b0259bc9d3dbfd69b648c66d4644f0b"},
@@ -1460,6 +1448,7 @@ version = "3.0.2"
 description = "Safely add untrusted strings to HTML/XML markup."
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
 files = [
     {file = "MarkupSafe-3.0.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7e94c425039cde14257288fd61dcfb01963e658efbc0ff54f5306b06054700f8"},
     {file = "MarkupSafe-3.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9e2d922824181480953426608b81967de705c3cef4d1af983af849d7bd619158"},
@@ -1530,6 +1519,7 @@ version = "0.1.7"
 description = "Inline Matplotlib backend for Jupyter"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "matplotlib_inline-0.1.7-py3-none-any.whl", hash = "sha256:df192d39a4ff8f21b1895d72e6a13f5fcc5099f00fa84384e0ea28c2cc0653ca"},
     {file = "matplotlib_inline-0.1.7.tar.gz", hash = "sha256:8423b23ec666be3d16e16b60bdd8ac4e86e840ebd1dd11a30b9f117f2fa0ab90"},
@@ -1544,6 +1534,7 @@ version = "3.0.2"
 description = "A sane and fast Markdown parser with useful plugins and renderers"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
     {file = "mistune-3.0.2-py3-none-any.whl", hash = "sha256:71481854c30fdbc938963d3605b72501f5c10a9320ecd412c121c163a1c7d205"},
     {file = "mistune-3.0.2.tar.gz", hash = "sha256:fc7f93ded930c92394ef2cb6f04a8aabab4117a91449e72dcc8dfa646a508be8"},
@@ -1555,6 +1546,7 @@ version = "1.1.0"
 description = "MessagePack serializer"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
     {file = "msgpack-1.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7ad442d527a7e358a469faf43fda45aaf4ac3249c8310a82f0ccff9164e5dccd"},
     {file = "msgpack-1.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:74bed8f63f8f14d75eec75cf3d04ad581da6b914001b474a5d3cd3372c8cc27d"},
@@ -1628,6 +1620,7 @@ version = "1.13.0"
 description = "Optional static typing for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "mypy-1.13.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6607e0f1dd1fb7f0aca14d936d13fd19eba5e17e1cd2a14f808fa5f8f6d8f60a"},
     {file = "mypy-1.13.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8a21be69bd26fa81b1f80a61ee7ab05b076c674d9b18fb56239d72e21d9f4c80"},
@@ -1681,6 +1674,7 @@ version = "1.0.0"
 description = "Type system extensions for programs checked with the mypy type checker."
 optional = false
 python-versions = ">=3.5"
+groups = ["dev"]
 files = [
     {file = "mypy_extensions-1.0.0-py3-none-any.whl", hash = "sha256:4392f6c0eb8a5668a69e23d168ffa70f0be9ccfd32b5cc2d26a34ae5b844552d"},
     {file = "mypy_extensions-1.0.0.tar.gz", hash = "sha256:75dbf8955dc00442a438fc4d0666508a9a97b6bd41aa2f0ffe9d2f2725af0782"},
@@ -1692,6 +1686,7 @@ version = "0.10.0"
 description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
 optional = false
 python-versions = ">=3.8.0"
+groups = ["dev"]
 files = [
     {file = "nbclient-0.10.0-py3-none-any.whl", hash = "sha256:f13e3529332a1f1f81d82a53210322476a168bb7090a0289c795fe9cc11c9d3f"},
     {file = "nbclient-0.10.0.tar.gz", hash = "sha256:4b3f1b7dba531e498449c4db4f53da339c91d449dc11e9af3a43b4eb5c5abb09"},
@@ -1714,6 +1709,7 @@ version = "7.16.4"
 description = "Converting Jupyter Notebooks (.ipynb files) to other formats.  Output formats include asciidoc, html, latex, markdown, pdf, py, rst, script.  nbconvert can be used both as a Python library (`import nbconvert`) or as a command line tool (invoked as `jupyter nbconvert ...`)."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "nbconvert-7.16.4-py3-none-any.whl", hash = "sha256:05873c620fe520b6322bf8a5ad562692343fe3452abda5765c7a34b7d1aa3eb3"},
     {file = "nbconvert-7.16.4.tar.gz", hash = "sha256:86ca91ba266b0a448dc96fa6c5b9d98affabde2867b363258703536807f9f7f4"},
@@ -1752,6 +1748,7 @@ version = "5.10.4"
 description = "The Jupyter Notebook format"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "nbformat-5.10.4-py3-none-any.whl", hash = "sha256:3b48d6c8fbca4b299bf3982ea7db1af21580e4fec269ad087b9e81588891200b"},
     {file = "nbformat-5.10.4.tar.gz", hash = "sha256:322168b14f937a5d11362988ecac2a4952d3d8e3a2cbeb2319584631226d5b3a"},
@@ -1773,6 +1770,7 @@ version = "1.6.0"
 description = "Patch asyncio to allow nested event loops"
 optional = false
 python-versions = ">=3.5"
+groups = ["dev"]
 files = [
     {file = "nest_asyncio-1.6.0-py3-none-any.whl", hash = "sha256:87af6efd6b5e897c81050477ef65c62e2b2f35d51703cae01aff2905b1852e1c"},
     {file = "nest_asyncio-1.6.0.tar.gz", hash = "sha256:6f172d5449aca15afd6c646851f4e31e02c598d553a667e38cafa997cfec55fe"},
@@ -1784,6 +1782,7 @@ version = "7.2.2"
 description = "Jupyter Notebook - A web-based notebook environment for interactive computing"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "notebook-7.2.2-py3-none-any.whl", hash = "sha256:c89264081f671bc02eec0ed470a627ed791b9156cad9285226b31611d3e9fe1c"},
     {file = "notebook-7.2.2.tar.gz", hash = "sha256:2ef07d4220421623ad3fe88118d687bc0450055570cdd160814a59cf3a1c516e"},
@@ -1807,6 +1806,7 @@ version = "0.2.4"
 description = "A shim layer for notebook traits and config"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
     {file = "notebook_shim-0.2.4-py3-none-any.whl", hash = "sha256:411a5be4e9dc882a074ccbcae671eda64cceb068767e9a3419096986560e1cef"},
     {file = "notebook_shim-0.2.4.tar.gz", hash = "sha256:b4b2cfa1b65d98307ca24361f5b30fe785b53c3fd07b7a47e89acb5e6ac638cb"},
@@ -1824,6 +1824,7 @@ version = "3.10.10"
 description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
     {file = "orjson-3.10.10-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:b788a579b113acf1c57e0a68e558be71d5d09aa67f62ca1f68e01117e550a998"},
     {file = "orjson-3.10.10-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:804b18e2b88022c8905bb79bd2cbe59c0cd014b9328f43da8d3b28441995cda4"},
@@ -1891,6 +1892,7 @@ version = "7.7.0"
 description = "A decorator to automatically detect mismatch when overriding a method."
 optional = false
 python-versions = ">=3.6"
+groups = ["dev"]
 files = [
     {file = "overrides-7.7.0-py3-none-any.whl", hash = "sha256:c7ed9d062f78b8e4c1a7b70bd8796b35ead4d9f510227ef9c5dc7626c60d7e49"},
     {file = "overrides-7.7.0.tar.gz", hash = "sha256:55158fa3d93b98cc75299b1e67078ad9003ca27945c76162c1c0766d6f91820a"},
@@ -1902,6 +1904,7 @@ version = "24.1"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
     {file = "packaging-24.1-py3-none-any.whl", hash = "sha256:5b8f2217dbdbd2f7f384c41c628544e6d52f2d0f53c6d0c3ea61aa5d1d7ff124"},
     {file = "packaging-24.1.tar.gz", hash = "sha256:026ed72c8ed3fcce5bf8950572258698927fd1dbda10a5e981cdf0ac37f4f002"},
@@ -1913,6 +1916,7 @@ version = "1.5.1"
 description = "Utilities for writing pandoc filters in python"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["dev"]
 files = [
     {file = "pandocfilters-1.5.1-py2.py3-none-any.whl", hash = "sha256:93be382804a9cdb0a7267585f157e5d1731bbe5545a85b268d6f5fe6232de2bc"},
     {file = "pandocfilters-1.5.1.tar.gz", hash = "sha256:002b4a555ee4ebc03f8b66307e287fa492e4a77b4ea14d3f934328297bb4939e"},
@@ -1924,6 +1928,7 @@ version = "0.8.4"
 description = "A Python Parser"
 optional = false
 python-versions = ">=3.6"
+groups = ["dev"]
 files = [
     {file = "parso-0.8.4-py2.py3-none-any.whl", hash = "sha256:a418670a20291dacd2dddc80c377c5c3791378ee1e8d12bffc35420643d43f18"},
     {file = "parso-0.8.4.tar.gz", hash = "sha256:eb3a7b58240fb99099a345571deecc0f9540ea5f4dd2fe14c2a99d6b281ab92d"},
@@ -1939,6 +1944,8 @@ version = "4.9.0"
 description = "Pexpect allows easy control of interactive console applications."
 optional = false
 python-versions = "*"
+groups = ["dev"]
+markers = "sys_platform != \"win32\""
 files = [
     {file = "pexpect-4.9.0-py2.py3-none-any.whl", hash = "sha256:7236d1e080e4936be2dc3e326cec0af72acf9212a7e1d060210e70a47e253523"},
     {file = "pexpect-4.9.0.tar.gz", hash = "sha256:ee7d41123f3c9911050ea2c2dac107568dc43b2d3b0c7557a33212c398ead30f"},
@@ -1953,6 +1960,7 @@ version = "4.3.6"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "platformdirs-4.3.6-py3-none-any.whl", hash = "sha256:73e575e1408ab8103900836b97580d5307456908a03e92031bab39e4554cc3fb"},
     {file = "platformdirs-4.3.6.tar.gz", hash = "sha256:357fb2acbc885b0419afd3ce3ed34564c13c9b95c89360cd9563f73aa5e2b907"},
@@ -1969,6 +1977,7 @@ version = "1.5.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"},
     {file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"},
@@ -1984,6 +1993,7 @@ version = "0.21.0"
 description = "Python client for the Prometheus monitoring system."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "prometheus_client-0.21.0-py3-none-any.whl", hash = "sha256:4fa6b4dd0ac16d58bb587c04b1caae65b8c5043e85f778f42f5f632f6af2e166"},
     {file = "prometheus_client-0.21.0.tar.gz", hash = "sha256:96c83c606b71ff2b0a433c98889d275f51ffec6c5e267de37c7a2b5c9aa9233e"},
@@ -1998,6 +2008,7 @@ version = "3.0.48"
 description = "Library for building powerful interactive command lines in Python"
 optional = false
 python-versions = ">=3.7.0"
+groups = ["dev"]
 files = [
     {file = "prompt_toolkit-3.0.48-py3-none-any.whl", hash = "sha256:f49a827f90062e411f1ce1f854f2aedb3c23353244f8108b89283587397ac10e"},
     {file = "prompt_toolkit-3.0.48.tar.gz", hash = "sha256:d6623ab0477a80df74e646bdbc93621143f5caf104206aa29294d53de1a03d90"},
@@ -2012,6 +2023,7 @@ version = "6.1.0"
 description = "Cross-platform lib for process and system monitoring in Python."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
+groups = ["dev"]
 files = [
     {file = "psutil-6.1.0-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:ff34df86226c0227c52f38b919213157588a678d049688eded74c76c8ba4a5d0"},
     {file = "psutil-6.1.0-cp27-cp27m-manylinux2010_i686.whl", hash = "sha256:c0e0c00aa18ca2d3b2b991643b799a15fc8f0563d2ebb6040f64ce8dc027b942"},
@@ -2042,6 +2054,7 @@ version = "3.2.3"
 description = "PostgreSQL database adapter for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "psycopg-3.2.3-py3-none-any.whl", hash = "sha256:644d3973fe26908c73d4be746074f6e5224b03c1101d302d9a53bf565ad64907"},
     {file = "psycopg-3.2.3.tar.gz", hash = "sha256:a5764f67c27bec8bfac85764d23c534af2c27b893550377e37ce59c12aac47a2"},
@@ -2066,6 +2079,8 @@ version = "3.2.3"
 description = "PostgreSQL database adapter for Python -- C optimisation distribution"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version >= \"3.10\" and implementation_name != \"pypy\""
 files = [
     {file = "psycopg_binary-3.2.3-cp310-cp310-macosx_12_0_x86_64.whl", hash = "sha256:965455eac8547f32b3181d5ec9ad8b9be500c10fe06193543efaaebe3e4ce70c"},
     {file = "psycopg_binary-3.2.3-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:71adcc8bc80a65b776510bc39992edf942ace35b153ed7a9c6c573a6849ce308"},
@@ -2139,6 +2154,7 @@ version = "3.2.3"
 description = "Connection Pool for Psycopg"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "psycopg_pool-3.2.3-py3-none-any.whl", hash = "sha256:53bd8e640625e01b2927b2ad96df8ed8e8f91caea4597d45e7673fc7bbb85eb1"},
     {file = "psycopg_pool-3.2.3.tar.gz", hash = "sha256:bb942f123bef4b7fbe4d55421bd3fb01829903c95c0f33fd42b7e94e5ac9b52a"},
@@ -2153,6 +2169,8 @@ version = "0.7.0"
 description = "Run a subprocess in a pseudo terminal"
 optional = false
 python-versions = "*"
+groups = ["dev"]
+markers = "os_name != \"nt\" or sys_platform != \"win32\""
 files = [
     {file = "ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35"},
     {file = "ptyprocess-0.7.0.tar.gz", hash = "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220"},
@@ -2164,6 +2182,7 @@ version = "0.2.3"
 description = "Safely evaluate AST nodes without side effects"
 optional = false
 python-versions = "*"
+groups = ["dev"]
 files = [
     {file = "pure_eval-0.2.3-py3-none-any.whl", hash = "sha256:1db8e35b67b3d218d818ae653e27f06c3aa420901fa7b081ca98cbedc874e0d0"},
     {file = "pure_eval-0.2.3.tar.gz", hash = "sha256:5f4e983f40564c576c7c8635ae88db5956bb2229d7e9237d03b3c0b0190eaf42"},
@@ -2178,6 +2197,7 @@ version = "0.3.14"
 description = "Sampling profiler for Python programs"
 optional = false
 python-versions = "*"
+groups = ["dev"]
 files = [
     {file = "py_spy-0.3.14-py2.py3-none-macosx_10_7_x86_64.whl", hash = "sha256:5b342cc5feb8d160d57a7ff308de153f6be68dcf506ad02b4d67065f2bae7f45"},
     {file = "py_spy-0.3.14-py2.py3-none-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl", hash = "sha256:fe7efe6c91f723442259d428bf1f9ddb9c1679828866b353d539345ca40d9dd2"},
@@ -2194,6 +2214,7 @@ version = "2.22"
 description = "C parser in Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "pycparser-2.22-py3-none-any.whl", hash = "sha256:c3702b6d3dd8c7abc1afa565d7e63d53a1d0bd86cdc24edd75470f4de499cfcc"},
     {file = "pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"},
@@ -2205,6 +2226,7 @@ version = "2.9.2"
 description = "Data validation using Python type hints"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
     {file = "pydantic-2.9.2-py3-none-any.whl", hash = "sha256:f048cec7b26778210e28a0459867920654d48e5e62db0958433636cde4254f12"},
     {file = "pydantic-2.9.2.tar.gz", hash = "sha256:d155cef71265d1e9807ed1c32b4c8deec042a44a50a4188b25ac67ecd81a9c0f"},
@@ -2228,6 +2250,7 @@ version = "2.23.4"
 description = "Core functionality for Pydantic validation and serialization"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
     {file = "pydantic_core-2.23.4-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:b10bd51f823d891193d4717448fab065733958bdb6a6b351967bd349d48d5c9b"},
     {file = "pydantic_core-2.23.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4fc714bdbfb534f94034efaa6eadd74e5b93c8fa6315565a222f7b6f42ca1166"},
@@ -2329,6 +2352,7 @@ version = "2.18.0"
 description = "Pygments is a syntax highlighting package written in Python."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "pygments-2.18.0-py3-none-any.whl", hash = "sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a"},
     {file = "pygments-2.18.0.tar.gz", hash = "sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199"},
@@ -2343,6 +2367,7 @@ version = "2.8.0"
 description = "Python module to run and analyze benchmarks"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
     {file = "pyperf-2.8.0-py3-none-any.whl", hash = "sha256:1a775b5a09882f18bf876430ef78e07646f773f50774546f5f6a8b34d60e3968"},
     {file = "pyperf-2.8.0.tar.gz", hash = "sha256:b30a20465819daf102b6543b512f6799a5a879ff2a123981e6cd732d0e6a7a79"},
@@ -2360,6 +2385,7 @@ version = "8.3.3"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "pytest-8.3.3-py3-none-any.whl", hash = "sha256:a6853c7375b2663155079443d2e45de913a911a11d669df02a50814944db57b2"},
     {file = "pytest-8.3.3.tar.gz", hash = "sha256:70b98107bd648308a7952b06e6ca9a50bc660be218d53c257cc1fc94fda10181"},
@@ -2382,6 +2408,7 @@ version = "4.1.0"
 description = "Pytest plugin for measuring coverage."
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
     {file = "pytest-cov-4.1.0.tar.gz", hash = "sha256:3904b13dfbfec47f003b8e77fd5b589cd11904a21ddf1ab38a64f204d6a10ef6"},
     {file = "pytest_cov-4.1.0-py3-none-any.whl", hash = "sha256:6ba70b9e97e69fcc3fb45bfeab2d0a138fb65c4d0d6a41ef33983ad114be8c3a"},
@@ -2400,6 +2427,7 @@ version = "0.5.2"
 description = "A py.test plugin that parses environment files before running tests"
 optional = false
 python-versions = "*"
+groups = ["dev"]
 files = [
     {file = "pytest-dotenv-0.5.2.tar.gz", hash = "sha256:2dc6c3ac6d8764c71c6d2804e902d0ff810fa19692e95fe138aefc9b1aa73732"},
     {file = "pytest_dotenv-0.5.2-py3-none-any.whl", hash = "sha256:40a2cece120a213898afaa5407673f6bd924b1fa7eafce6bda0e8abffe2f710f"},
@@ -2415,6 +2443,7 @@ version = "3.14.0"
 description = "Thin-wrapper around the mock package for easier use with pytest"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "pytest-mock-3.14.0.tar.gz", hash = "sha256:2719255a1efeceadbc056d6bf3df3d1c5015530fb40cf347c0f9afac88410bd0"},
     {file = "pytest_mock-3.14.0-py3-none-any.whl", hash = "sha256:0b72c38033392a5f4621342fe11e9219ac11ec9d375f8e2a0c164539e0d70f6f"},
@@ -2432,6 +2461,7 @@ version = "0.9.3"
 description = "pytest plugin for repeating tests"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
     {file = "pytest_repeat-0.9.3-py3-none-any.whl", hash = "sha256:26ab2df18226af9d5ce441c858f273121e92ff55f5bb311d25755b8d7abdd8ed"},
     {file = "pytest_repeat-0.9.3.tar.gz", hash = "sha256:ffd3836dfcd67bb270bec648b330e20be37d2966448c4148c4092d1e8aba8185"},
@@ -2446,6 +2476,7 @@ version = "0.4.3"
 description = "Automatically rerun your tests on file modifications"
 optional = false
 python-versions = "<4.0.0,>=3.7.0"
+groups = ["dev"]
 files = [
     {file = "pytest_watcher-0.4.3-py3-none-any.whl", hash = "sha256:d59b1e1396f33a65ea4949b713d6884637755d641646960056a90b267c3460f9"},
     {file = "pytest_watcher-0.4.3.tar.gz", hash = "sha256:0cb0e4661648c8c0ff2b2d25efa5a8e421784b9e4c60fcecbf9b7c30b2d731b3"},
@@ -2461,6 +2492,7 @@ version = "3.6.1"
 description = "pytest xdist plugin for distributed testing, most importantly across multiple CPUs"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "pytest_xdist-3.6.1-py3-none-any.whl", hash = "sha256:9ed4adfb68a016610848639bb7e02c9352d5d9f03d04809919e2dafc3be4cca7"},
     {file = "pytest_xdist-3.6.1.tar.gz", hash = "sha256:ead156a4db231eec769737f57668ef58a2084a34b2e55c4a8fa20d861107300d"},
@@ -2482,6 +2514,7 @@ version = "2.9.0.post0"
 description = "Extensions to the standard Python datetime module"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+groups = ["dev"]
 files = [
     {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"},
     {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"},
@@ -2496,6 +2529,7 @@ version = "1.0.1"
 description = "Read key-value pairs from a .env file and set them as environment variables"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "python-dotenv-1.0.1.tar.gz", hash = "sha256:e324ee90a023d808f1959c46bcbc04446a10ced277783dc6ee09987c37ec10ca"},
     {file = "python_dotenv-1.0.1-py3-none-any.whl", hash = "sha256:f7b63ef50f1b690dddf550d03497b66d609393b40b564ed0d674909a68ebf16a"},
@@ -2510,6 +2544,7 @@ version = "2.0.7"
 description = "A python library adding a json log formatter"
 optional = false
 python-versions = ">=3.6"
+groups = ["dev"]
 files = [
     {file = "python-json-logger-2.0.7.tar.gz", hash = "sha256:23e7ec02d34237c5aa1e29a070193a4ea87583bb4e7f8fd06d3de8264c4b2e1c"},
     {file = "python_json_logger-2.0.7-py3-none-any.whl", hash = "sha256:f380b826a991ebbe3de4d897aeec42760035ac760345e57b812938dc8b35e2bd"},
@@ -2521,6 +2556,8 @@ version = "308"
 description = "Python for Window Extensions"
 optional = false
 python-versions = "*"
+groups = ["dev"]
+markers = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\""
 files = [
     {file = "pywin32-308-cp310-cp310-win32.whl", hash = "sha256:796ff4426437896550d2981b9c2ac0ffd75238ad9ea2d3bfa67a1abd546d262e"},
     {file = "pywin32-308-cp310-cp310-win_amd64.whl", hash = "sha256:4fc888c59b3c0bef905ce7eb7e2106a07712015ea1c8234b703a088d46110e8e"},
@@ -2548,6 +2585,8 @@ version = "2.0.14"
 description = "Pseudo terminal support for Windows from Python."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "os_name == \"nt\""
 files = [
     {file = "pywinpty-2.0.14-cp310-none-win_amd64.whl", hash = "sha256:0b149c2918c7974f575ba79f5a4aad58bd859a52fa9eb1296cc22aa412aa411f"},
     {file = "pywinpty-2.0.14-cp311-none-win_amd64.whl", hash = "sha256:cf2a43ac7065b3e0dc8510f8c1f13a75fb8fde805efa3b8cff7599a1ef497bc7"},
@@ -2563,6 +2602,7 @@ version = "6.0.2"
 description = "YAML parser and emitter for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
     {file = "PyYAML-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0a9a2848a5b7feac301353437eb7d5957887edbf81d56e903999a75a3d743086"},
     {file = "PyYAML-6.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:29717114e51c84ddfba879543fb232a6ed60086602313ca38cce623c1d62cfbf"},
@@ -2625,6 +2665,7 @@ version = "26.2.0"
 description = "Python bindings for 0MQ"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
     {file = "pyzmq-26.2.0-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:ddf33d97d2f52d89f6e6e7ae66ee35a4d9ca6f36eda89c24591b0c40205a3629"},
     {file = "pyzmq-26.2.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:dacd995031a01d16eec825bf30802fceb2c3791ef24bcce48fa98ce40918c27b"},
@@ -2746,6 +2787,7 @@ version = "0.35.1"
 description = "JSON Referencing + Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "referencing-0.35.1-py3-none-any.whl", hash = "sha256:eda6d3234d62814d1c64e305c1331c9a3a6132da475ab6382eaa997b21ee75de"},
     {file = "referencing-0.35.1.tar.gz", hash = "sha256:25b42124a6c8b632a425174f24087783efb348a6f1e0008e63cd4466fedf703c"},
@@ -2761,6 +2803,7 @@ version = "2.32.3"
 description = "Python HTTP for Humans."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
     {file = "requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6"},
     {file = "requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"},
@@ -2782,6 +2825,7 @@ version = "1.0.0"
 description = "A utility belt for advanced users of python-requests"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["main", "dev"]
 files = [
     {file = "requests-toolbelt-1.0.0.tar.gz", hash = "sha256:7681a0a3d047012b5bdc0ee37d7f8f07ebe76ab08caeccfc3921ce23c88d5bc6"},
     {file = "requests_toolbelt-1.0.0-py2.py3-none-any.whl", hash = "sha256:cccfdd665f0a24fcf4726e690f65639d272bb0637b9b92dfd91a5568ccf6bd06"},
@@ -2796,6 +2840,7 @@ version = "0.1.4"
 description = "A pure python RFC3339 validator"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["dev"]
 files = [
     {file = "rfc3339_validator-0.1.4-py2.py3-none-any.whl", hash = "sha256:24f6ec1eda14ef823da9e36ec7113124b39c04d50a4d3d3a3c2859577e7791fa"},
     {file = "rfc3339_validator-0.1.4.tar.gz", hash = "sha256:138a2abdf93304ad60530167e51d2dfb9549521a836871b88d7f4695d0022f6b"},
@@ -2810,6 +2855,7 @@ version = "0.1.1"
 description = "Pure python rfc3986 validator"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["dev"]
 files = [
     {file = "rfc3986_validator-0.1.1-py2.py3-none-any.whl", hash = "sha256:2f235c432ef459970b4306369336b9d5dbdda31b510ca1e327636e01f528bfa9"},
     {file = "rfc3986_validator-0.1.1.tar.gz", hash = "sha256:3d44bde7921b3b9ec3ae4e3adca370438eccebc676456449b145d533b240d055"},
@@ -2821,6 +2867,7 @@ version = "0.20.1"
 description = "Python bindings to Rust's persistent data structures (rpds)"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "rpds_py-0.20.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:a649dfd735fff086e8a9d0503a9f0c7d01b7912a333c7ae77e1515c08c146dad"},
     {file = "rpds_py-0.20.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f16bc1334853e91ddaaa1217045dd7be166170beec337576818461268a3de67f"},
@@ -2933,6 +2980,7 @@ version = "0.6.9"
 description = "An extremely fast Python linter and code formatter, written in Rust."
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
     {file = "ruff-0.6.9-py3-none-linux_armv6l.whl", hash = "sha256:064df58d84ccc0ac0fcd63bc3090b251d90e2a372558c0f057c3f75ed73e1ccd"},
     {file = "ruff-0.6.9-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:140d4b5c9f5fc7a7b074908a78ab8d384dd7f6510402267bc76c37195c02a7ec"},
@@ -2960,6 +3008,7 @@ version = "1.8.3"
 description = "Send file to trash natively under Mac OS X, Windows and Linux"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
+groups = ["dev"]
 files = [
     {file = "Send2Trash-1.8.3-py3-none-any.whl", hash = "sha256:0c31227e0bd08961c7665474a3d1ef7193929fedda4233843689baa056be46c9"},
     {file = "Send2Trash-1.8.3.tar.gz", hash = "sha256:b18e7a3966d99871aefeb00cfbcfdced55ce4871194810fc71f4aa484b953abf"},
@@ -2976,6 +3025,7 @@ version = "75.3.0"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "setuptools-75.3.0-py3-none-any.whl", hash = "sha256:f2504966861356aa38616760c0f66568e535562374995367b4e69c7143cf6bcd"},
     {file = "setuptools-75.3.0.tar.gz", hash = "sha256:fba5dd4d766e97be1b1681d98712680ae8f2f26d7881245f2ce9e40714f1a686"},
@@ -2996,6 +3046,7 @@ version = "1.16.0"
 description = "Python 2 and 3 compatibility utilities"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+groups = ["dev"]
 files = [
     {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
     {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
@@ -3007,6 +3058,7 @@ version = "1.3.1"
 description = "Sniff out which async library your code is running under"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
 files = [
     {file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"},
     {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
@@ -3018,6 +3070,7 @@ version = "2.6"
 description = "A modern CSS selector implementation for Beautiful Soup."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "soupsieve-2.6-py3-none-any.whl", hash = "sha256:e72c4ff06e4fb6e4b5a9f0f55fe6e81514581fca1515028625d0f299c602ccc9"},
     {file = "soupsieve-2.6.tar.gz", hash = "sha256:e2e68417777af359ec65daac1057404a3c8a5455bb8abc36f1a9866ab1a51abb"},
@@ -3029,6 +3082,7 @@ version = "0.6.3"
 description = "Extract data from python stack frames and tracebacks for informative displays"
 optional = false
 python-versions = "*"
+groups = ["dev"]
 files = [
     {file = "stack_data-0.6.3-py3-none-any.whl", hash = "sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695"},
     {file = "stack_data-0.6.3.tar.gz", hash = "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9"},
@@ -3048,6 +3102,7 @@ version = "4.7.2"
 description = "Pytest Snapshot Test Utility"
 optional = false
 python-versions = ">=3.8.1"
+groups = ["dev"]
 files = [
     {file = "syrupy-4.7.2-py3-none-any.whl", hash = "sha256:eae7ba6be5aed190237caa93be288e97ca1eec5ca58760e4818972a10c4acc64"},
     {file = "syrupy-4.7.2.tar.gz", hash = "sha256:ea45e099f242de1bb53018c238f408a5bb6c82007bc687aefcbeaa0e1c2e935a"},
@@ -3062,6 +3117,7 @@ version = "9.0.0"
 description = "Retry code until it succeeds"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
     {file = "tenacity-9.0.0-py3-none-any.whl", hash = "sha256:93de0c98785b27fcf659856aa9f54bfbd399e29969b0621bc7f762bd441b4539"},
     {file = "tenacity-9.0.0.tar.gz", hash = "sha256:807f37ca97d62aa361264d497b0e31e92b8027044942bfa756160d908320d73b"},
@@ -3077,6 +3133,7 @@ version = "0.18.1"
 description = "Tornado websocket backend for the Xterm.js Javascript terminal emulator library."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "terminado-0.18.1-py3-none-any.whl", hash = "sha256:a4468e1b37bb318f8a86514f65814e1afc977cf29b3992a4500d9dd305dcceb0"},
     {file = "terminado-0.18.1.tar.gz", hash = "sha256:de09f2c4b85de4765f7714688fff57d3e75bad1f909b589fde880460c753fd2e"},
@@ -3098,6 +3155,7 @@ version = "1.4.0"
 description = "A tiny CSS parser"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "tinycss2-1.4.0-py3-none-any.whl", hash = "sha256:3a49cf47b7675da0b15d0c6e1df8df4ebd96e9394bb905a5775adb0d884c5289"},
     {file = "tinycss2-1.4.0.tar.gz", hash = "sha256:10c0972f6fc0fbee87c3edb76549357415e94548c1ae10ebccdea16fb404a9b7"},
@@ -3116,6 +3174,8 @@ version = "2.0.2"
 description = "A lil' TOML parser"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_full_version <= \"3.11.0a6\""
 files = [
     {file = "tomli-2.0.2-py3-none-any.whl", hash = "sha256:2ebe24485c53d303f690b0ec092806a085f07af5a5aa1464f3931eec36caaa38"},
     {file = "tomli-2.0.2.tar.gz", hash = "sha256:d46d457a85337051c36524bc5349dd91b1877838e2979ac5ced3e710ed8a60ed"},
@@ -3127,6 +3187,7 @@ version = "6.4.2"
 description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "tornado-6.4.2-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:e828cce1123e9e44ae2a50a9de3055497ab1d0aeb440c5ac23064d9e44880da1"},
     {file = "tornado-6.4.2-cp38-abi3-macosx_10_9_x86_64.whl", hash = "sha256:072ce12ada169c5b00b7d92a99ba089447ccc993ea2143c9ede887e0937aa803"},
@@ -3147,6 +3208,7 @@ version = "5.14.3"
 description = "Traitlets Python configuration system"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f"},
     {file = "traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7"},
@@ -3162,6 +3224,7 @@ version = "2.9.0.20241003"
 description = "Typing stubs for python-dateutil"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "types-python-dateutil-2.9.0.20241003.tar.gz", hash = "sha256:58cb85449b2a56d6684e41aeefb4c4280631246a0da1a719bdbe6f3fb0317446"},
     {file = "types_python_dateutil-2.9.0.20241003-py3-none-any.whl", hash = "sha256:250e1d8e80e7bbc3a6c99b907762711d1a1cdd00e978ad39cb5940f6f0a87f3d"},
@@ -3173,6 +3236,7 @@ version = "2.32.0.20241016"
 description = "Typing stubs for requests"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "types-requests-2.32.0.20241016.tar.gz", hash = "sha256:0d9cad2f27515d0e3e3da7134a1b6f28fb97129d86b867f24d9c726452634d95"},
     {file = "types_requests-2.32.0.20241016-py3-none-any.whl", hash = "sha256:4195d62d6d3e043a4eaaf08ff8a62184584d2e8684e9d2aa178c7915a7da3747"},
@@ -3187,6 +3251,7 @@ version = "4.12.2"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
     {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
     {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
@@ -3198,6 +3263,8 @@ version = "2024.2"
 description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
+groups = ["dev"]
+markers = "sys_platform == \"win32\""
 files = [
     {file = "tzdata-2024.2-py2.py3-none-any.whl", hash = "sha256:a48093786cdcde33cad18c2555e8532f34422074448fbc874186f0abd79565cd"},
     {file = "tzdata-2024.2.tar.gz", hash = "sha256:7d85cc416e9382e69095b7bdf4afd9e3880418a2413feec7069d533d6b4e31cc"},
@@ -3209,6 +3276,7 @@ version = "1.3.0"
 description = "RFC 6570 URI Template Processor"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
     {file = "uri-template-1.3.0.tar.gz", hash = "sha256:0e00f8eb65e18c7de20d595a14336e9f337ead580c70934141624b6d1ffdacc7"},
     {file = "uri_template-1.3.0-py3-none-any.whl", hash = "sha256:a44a133ea12d44a0c0f06d7d42a52d71282e77e2f937d8abd5655b8d56fc1363"},
@@ -3223,6 +3291,7 @@ version = "2.2.3"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
     {file = "urllib3-2.2.3-py3-none-any.whl", hash = "sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac"},
     {file = "urllib3-2.2.3.tar.gz", hash = "sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9"},
@@ -3240,6 +3309,7 @@ version = "0.21.0b1"
 description = "Fast implementation of asyncio event loop on top of libuv"
 optional = false
 python-versions = ">=3.8.0"
+groups = ["dev"]
 files = [
     {file = "uvloop-0.21.0b1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:b47c276e66f2a26b58eafd0745c788e7345c9445a9e4b7799dd7065445ca91bf"},
     {file = "uvloop-0.21.0b1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5aec94e40549d8fd1b04dc50d1b4480d4e8e1ed61066798dade0b4ecd408e7ed"},
@@ -3291,6 +3361,7 @@ version = "5.0.3"
 description = "Filesystem events monitoring"
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
 files = [
     {file = "watchdog-5.0.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:85527b882f3facda0579bce9d743ff7f10c3e1e0db0a0d0e28170a7d0e5ce2ea"},
     {file = "watchdog-5.0.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:53adf73dcdc0ef04f7735066b4a57a4cd3e49ef135daae41d77395f0b5b692cb"},
@@ -3333,6 +3404,7 @@ version = "0.2.13"
 description = "Measures the displayed width of unicode strings in a terminal"
 optional = false
 python-versions = "*"
+groups = ["dev"]
 files = [
     {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"},
     {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"},
@@ -3344,6 +3416,7 @@ version = "24.8.0"
 description = "A library for working with the color formats defined by HTML and CSS."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "webcolors-24.8.0-py3-none-any.whl", hash = "sha256:fc4c3b59358ada164552084a8ebee637c221e4059267d0f8325b3b560f6c7f0a"},
     {file = "webcolors-24.8.0.tar.gz", hash = "sha256:08b07af286a01bcd30d583a7acadf629583d1f79bfef27dd2c2c5c263817277d"},
@@ -3359,6 +3432,7 @@ version = "0.5.1"
 description = "Character encoding aliases for legacy web content"
 optional = false
 python-versions = "*"
+groups = ["dev"]
 files = [
     {file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"},
     {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"},
@@ -3370,6 +3444,7 @@ version = "1.8.0"
 description = "WebSocket client for Python with low level API options"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "websocket_client-1.8.0-py3-none-any.whl", hash = "sha256:17b44cc997f5c498e809b22cdf2d9c7a9e71c02c8cc2b6c56e7c2d1239bfa526"},
     {file = "websocket_client-1.8.0.tar.gz", hash = "sha256:3239df9f44da632f96012472805d40a23281a991027ce11d2f45a6f24ac4c3da"},
@@ -3386,6 +3461,7 @@ version = "4.0.13"
 description = "Jupyter interactive widgets for Jupyter Notebook"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
     {file = "widgetsnbextension-4.0.13-py3-none-any.whl", hash = "sha256:74b2692e8500525cc38c2b877236ba51d34541e6385eeed5aec15a70f88a6c71"},
     {file = "widgetsnbextension-4.0.13.tar.gz", hash = "sha256:ffcb67bc9febd10234a362795f643927f4e0c05d9342c727b65d2384f8feacb6"},
@@ -3397,6 +3473,8 @@ version = "3.20.2"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version < \"3.10\""
 files = [
     {file = "zipp-3.20.2-py3-none-any.whl", hash = "sha256:a817ac80d6cf4b23bf7f2828b7cabf326f15a001bea8b1f9b49631780ba28350"},
     {file = "zipp-3.20.2.tar.gz", hash = "sha256:bc9eb26f4506fda01b81bcde0ca78103b6e62f991b381fec825435c836edbc29"},
@@ -3411,6 +3489,6 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools",
 type = ["pytest-mypy"]
 
 [metadata]
-lock-version = "2.0"
+lock-version = "2.1"
 python-versions = ">=3.9.0,<4.0"
-content-hash = "936530a5f00f329aeff2e6e921fe64480be317fad2c0a59cd54ea9018d089304"
+content-hash = "356f7e84cf1375119bd3a118ecf4e9476d95913736f8c426a76d55717eb39161"
diff --git a/libs/langgraph/pyproject.toml b/libs/langgraph/pyproject.toml
index efdb78871..bab202053 100644
--- a/libs/langgraph/pyproject.toml
+++ b/libs/langgraph/pyproject.toml
@@ -27,7 +27,6 @@ jupyter = "^1.0.0"
 pytest-xdist = {extras = ["psutil"], version = "^3.6.1"}
 pytest-repeat = "^0.9.3"
 langgraph-checkpoint = {path = "../checkpoint", develop = true}
-langgraph-checkpoint-duckdb = {path = "../checkpoint-duckdb", develop = true}
 langgraph-checkpoint-sqlite = {path = "../checkpoint-sqlite", develop = true}
 langgraph-checkpoint-postgres = {path = "../checkpoint-postgres", develop = true}
 langgraph-sdk = {path = "../sdk-py", develop = true}
diff --git a/libs/langgraph/tests/__snapshots__/test_pregel.ambr b/libs/langgraph/tests/__snapshots__/test_pregel.ambr
index 5036f370e..9e45447bf 100644
--- a/libs/langgraph/tests/__snapshots__/test_pregel.ambr
+++ b/libs/langgraph/tests/__snapshots__/test_pregel.ambr
@@ -503,281 +503,6 @@
   
   '''
 # ---
-# name: test_conditional_graph[duckdb]
-  '''
-  {
-    "nodes": [
-      {
-        "id": "__start__",
-        "type": "schema",
-        "data": "__start__"
-      },
-      {
-        "id": "agent",
-        "type": "runnable",
-        "data": {
-          "id": [
-            "langchain",
-            "schema",
-            "runnable",
-            "RunnableAssign"
-          ],
-          "name": "agent"
-        }
-      },
-      {
-        "id": "tools",
-        "type": "runnable",
-        "data": {
-          "id": [
-            "langgraph",
-            "utils",
-            "runnable",
-            "RunnableCallable"
-          ],
-          "name": "tools"
-        },
-        "metadata": {
-          "parents": {},
-          "version": 2,
-          "variant": "b"
-        }
-      },
-      {
-        "id": "__end__",
-        "type": "schema",
-        "data": "__end__"
-      }
-    ],
-    "edges": [
-      {
-        "source": "__start__",
-        "target": "agent"
-      },
-      {
-        "source": "tools",
-        "target": "agent"
-      },
-      {
-        "source": "agent",
-        "target": "tools",
-        "data": "continue",
-        "conditional": true
-      },
-      {
-        "source": "agent",
-        "target": "__end__",
-        "data": "exit",
-        "conditional": true
-      }
-    ]
-  }
-  '''
-# ---
-# name: test_conditional_graph[duckdb].1
-  '''
-  graph TD;
-  	__start__ --> agent;
-  	tools --> agent;
-  	agent -. &nbsp;continue&nbsp; .-> tools;
-  	agent -. &nbsp;exit&nbsp; .-> __end__;
-  
-  '''
-# ---
-# name: test_conditional_graph[duckdb].2
-  '''
-  %%{init: {'flowchart': {'curve': 'linear'}}}%%
-  graph TD;
-  	__start__([<p>__start__</p>]):::first
-  	agent(agent)
-  	tools(tools<hr/><small><em>parents = {}
-  version = 2
-  variant = b</em></small>)
-  	__end__([<p>__end__</p>]):::last
-  	__start__ --> agent;
-  	tools --> agent;
-  	agent -. &nbsp;continue&nbsp; .-> tools;
-  	agent -. &nbsp;exit&nbsp; .-> __end__;
-  	classDef default fill:#f2f0ff,line-height:1.2
-  	classDef first fill-opacity:0
-  	classDef last fill:#bfb6fc
-  
-  '''
-# ---
-# name: test_conditional_graph[duckdb].3
-  '''
-  {
-    "nodes": [
-      {
-        "id": "__start__",
-        "type": "schema",
-        "data": "__start__"
-      },
-      {
-        "id": "agent",
-        "type": "runnable",
-        "data": {
-          "id": [
-            "langchain",
-            "schema",
-            "runnable",
-            "RunnableAssign"
-          ],
-          "name": "agent"
-        }
-      },
-      {
-        "id": "tools",
-        "type": "runnable",
-        "data": {
-          "id": [
-            "langgraph",
-            "utils",
-            "runnable",
-            "RunnableCallable"
-          ],
-          "name": "tools"
-        },
-        "metadata": {
-          "parents": {},
-          "version": 2,
-          "variant": "b"
-        }
-      },
-      {
-        "id": "__end__",
-        "type": "schema",
-        "data": "__end__"
-      }
-    ],
-    "edges": [
-      {
-        "source": "__start__",
-        "target": "agent"
-      },
-      {
-        "source": "tools",
-        "target": "agent"
-      },
-      {
-        "source": "agent",
-        "target": "tools",
-        "data": "continue",
-        "conditional": true
-      },
-      {
-        "source": "agent",
-        "target": "__end__",
-        "data": "exit",
-        "conditional": true
-      }
-    ]
-  }
-  '''
-# ---
-# name: test_conditional_graph[duckdb].4
-  '''
-  graph TD;
-  	__start__ --> agent;
-  	tools --> agent;
-  	agent -. &nbsp;continue&nbsp; .-> tools;
-  	agent -. &nbsp;exit&nbsp; .-> __end__;
-  
-  '''
-# ---
-# name: test_conditional_graph[duckdb].5
-  dict({
-    'edges': list([
-      dict({
-        'source': '__start__',
-        'target': 'agent',
-      }),
-      dict({
-        'source': 'tools',
-        'target': 'agent',
-      }),
-      dict({
-        'conditional': True,
-        'data': 'continue',
-        'source': 'agent',
-        'target': 'tools',
-      }),
-      dict({
-        'conditional': True,
-        'data': 'exit',
-        'source': 'agent',
-        'target': '__end__',
-      }),
-    ]),
-    'nodes': list([
-      dict({
-        'data': '__start__',
-        'id': '__start__',
-        'type': 'schema',
-      }),
-      dict({
-        'data': dict({
-          'id': list([
-            'langchain',
-            'schema',
-            'runnable',
-            'RunnableAssign',
-          ]),
-          'name': 'agent',
-        }),
-        'id': 'agent',
-        'metadata': dict({
-          '__interrupt': 'after',
-        }),
-        'type': 'runnable',
-      }),
-      dict({
-        'data': dict({
-          'id': list([
-            'langgraph',
-            'utils',
-            'runnable',
-            'RunnableCallable',
-          ]),
-          'name': 'tools',
-        }),
-        'id': 'tools',
-        'metadata': dict({
-          'parents': dict({
-          }),
-          'variant': 'b',
-          'version': 2,
-        }),
-        'type': 'runnable',
-      }),
-      dict({
-        'data': '__end__',
-        'id': '__end__',
-        'type': 'schema',
-      }),
-    ]),
-  })
-# ---
-# name: test_conditional_graph[duckdb].6
-  '''
-  %%{init: {'flowchart': {'curve': 'linear'}}}%%
-  graph TD;
-  	__start__([<p>__start__</p>]):::first
-  	agent(agent<hr/><small><em>__interrupt = after</em></small>)
-  	tools(tools<hr/><small><em>parents = {}
-  version = 2
-  variant = b</em></small>)
-  	__end__([<p>__end__</p>]):::last
-  	__start__ --> agent;
-  	tools --> agent;
-  	agent -. &nbsp;continue&nbsp; .-> tools;
-  	agent -. &nbsp;exit&nbsp; .-> __end__;
-  	classDef default fill:#f2f0ff,line-height:1.2
-  	classDef first fill-opacity:0
-  	classDef last fill:#bfb6fc
-  
-  '''
-# ---
 # name: test_conditional_graph[memory]
   '''
   {
@@ -2231,88 +1956,6 @@
   
   '''
 # ---
-# name: test_conditional_state_graph[duckdb]
-  '{"$defs": {"AgentAction": {"description": "Represents a request to execute an action by an agent.\\n\\nThe action consists of the name of the tool to execute and the input to pass\\nto the tool. The log is used to pass along extra information about the action.", "properties": {"tool": {"title": "Tool", "type": "string"}, "tool_input": {"anyOf": [{"type": "string"}, {"type": "object"}], "title": "Tool Input"}, "log": {"title": "Log", "type": "string"}, "type": {"const": "AgentAction", "default": "AgentAction", "enum": ["AgentAction"], "title": "Type", "type": "string"}}, "required": ["tool", "tool_input", "log"], "title": "AgentAction", "type": "object"}, "AgentFinish": {"description": "Final return value of an ActionAgent.\\n\\nAgents return an AgentFinish when they have reached a stopping condition.", "properties": {"return_values": {"title": "Return Values", "type": "object"}, "log": {"title": "Log", "type": "string"}, "type": {"const": "AgentFinish", "default": "AgentFinish", "enum": ["AgentFinish"], "title": "Type", "type": "string"}}, "required": ["return_values", "log"], "title": "AgentFinish", "type": "object"}}, "properties": {"input": {"default": null, "title": "Input", "type": "string"}, "agent_outcome": {"anyOf": [{"$ref": "#/$defs/AgentAction"}, {"$ref": "#/$defs/AgentFinish"}, {"type": "null"}], "default": null, "title": "Agent Outcome"}, "intermediate_steps": {"default": null, "items": {"maxItems": 2, "minItems": 2, "prefixItems": [{"$ref": "#/$defs/AgentAction"}, {"type": "string"}], "type": "array"}, "title": "Intermediate Steps", "type": "array"}}, "title": "LangGraphInput", "type": "object"}'
-# ---
-# name: test_conditional_state_graph[duckdb].1
-  '{"$defs": {"AgentAction": {"description": "Represents a request to execute an action by an agent.\\n\\nThe action consists of the name of the tool to execute and the input to pass\\nto the tool. The log is used to pass along extra information about the action.", "properties": {"tool": {"title": "Tool", "type": "string"}, "tool_input": {"anyOf": [{"type": "string"}, {"type": "object"}], "title": "Tool Input"}, "log": {"title": "Log", "type": "string"}, "type": {"const": "AgentAction", "default": "AgentAction", "enum": ["AgentAction"], "title": "Type", "type": "string"}}, "required": ["tool", "tool_input", "log"], "title": "AgentAction", "type": "object"}, "AgentFinish": {"description": "Final return value of an ActionAgent.\\n\\nAgents return an AgentFinish when they have reached a stopping condition.", "properties": {"return_values": {"title": "Return Values", "type": "object"}, "log": {"title": "Log", "type": "string"}, "type": {"const": "AgentFinish", "default": "AgentFinish", "enum": ["AgentFinish"], "title": "Type", "type": "string"}}, "required": ["return_values", "log"], "title": "AgentFinish", "type": "object"}}, "properties": {"input": {"default": null, "title": "Input", "type": "string"}, "agent_outcome": {"anyOf": [{"$ref": "#/$defs/AgentAction"}, {"$ref": "#/$defs/AgentFinish"}, {"type": "null"}], "default": null, "title": "Agent Outcome"}, "intermediate_steps": {"default": null, "items": {"maxItems": 2, "minItems": 2, "prefixItems": [{"$ref": "#/$defs/AgentAction"}, {"type": "string"}], "type": "array"}, "title": "Intermediate Steps", "type": "array"}}, "title": "LangGraphOutput", "type": "object"}'
-# ---
-# name: test_conditional_state_graph[duckdb].2
-  '''
-  {
-    "nodes": [
-      {
-        "id": "__start__",
-        "type": "schema",
-        "data": "__start__"
-      },
-      {
-        "id": "agent",
-        "type": "runnable",
-        "data": {
-          "id": [
-            "langchain",
-            "schema",
-            "runnable",
-            "RunnableSequence"
-          ],
-          "name": "agent"
-        }
-      },
-      {
-        "id": "tools",
-        "type": "runnable",
-        "data": {
-          "id": [
-            "langgraph",
-            "utils",
-            "runnable",
-            "RunnableCallable"
-          ],
-          "name": "tools"
-        }
-      },
-      {
-        "id": "__end__",
-        "type": "schema",
-        "data": "__end__"
-      }
-    ],
-    "edges": [
-      {
-        "source": "__start__",
-        "target": "agent"
-      },
-      {
-        "source": "tools",
-        "target": "agent"
-      },
-      {
-        "source": "agent",
-        "target": "tools",
-        "data": "continue",
-        "conditional": true
-      },
-      {
-        "source": "agent",
-        "target": "__end__",
-        "data": "exit",
-        "conditional": true
-      }
-    ]
-  }
-  '''
-# ---
-# name: test_conditional_state_graph[duckdb].3
-  '''
-  graph TD;
-  	__start__ --> agent;
-  	tools --> agent;
-  	agent -. &nbsp;continue&nbsp; .-> tools;
-  	agent -. &nbsp;exit&nbsp; .-> __end__;
-  
-  '''
-# ---
 # name: test_conditional_state_graph[memory]
   '{"$defs": {"AgentAction": {"description": "Represents a request to execute an action by an agent.\\n\\nThe action consists of the name of the tool to execute and the input to pass\\nto the tool. The log is used to pass along extra information about the action.", "properties": {"tool": {"title": "Tool", "type": "string"}, "tool_input": {"anyOf": [{"type": "string"}, {"type": "object"}], "title": "Tool Input"}, "log": {"title": "Log", "type": "string"}, "type": {"const": "AgentAction", "default": "AgentAction", "enum": ["AgentAction"], "title": "Type", "type": "string"}}, "required": ["tool", "tool_input", "log"], "title": "AgentAction", "type": "object"}, "AgentFinish": {"description": "Final return value of an ActionAgent.\\n\\nAgents return an AgentFinish when they have reached a stopping condition.", "properties": {"return_values": {"title": "Return Values", "type": "object"}, "log": {"title": "Log", "type": "string"}, "type": {"const": "AgentFinish", "default": "AgentFinish", "enum": ["AgentFinish"], "title": "Type", "type": "string"}}, "required": ["return_values", "log"], "title": "AgentFinish", "type": "object"}}, "properties": {"input": {"default": null, "title": "Input", "type": "string"}, "agent_outcome": {"anyOf": [{"$ref": "#/$defs/AgentAction"}, {"$ref": "#/$defs/AgentFinish"}, {"type": "null"}], "default": null, "title": "Agent Outcome"}, "intermediate_steps": {"default": null, "items": {"maxItems": 2, "minItems": 2, "prefixItems": [{"$ref": "#/$defs/AgentAction"}, {"type": "string"}], "type": "array"}, "title": "Intermediate Steps", "type": "array"}}, "title": "LangGraphInput", "type": "object"}'
 # ---
@@ -2813,19 +2456,6 @@
   
   '''
 # ---
-# name: test_in_one_fan_out_state_graph_waiting_edge[duckdb]
-  '''
-  graph TD;
-  	__start__ --> rewrite_query;
-  	analyzer_one --> retriever_one;
-  	qa --> __end__;
-  	retriever_one --> qa;
-  	retriever_two --> qa;
-  	rewrite_query --> analyzer_one;
-  	rewrite_query --> retriever_two;
-  
-  '''
-# ---
 # name: test_in_one_fan_out_state_graph_waiting_edge[memory]
   '''
   graph TD;
@@ -2868,113 +2498,43 @@
 # name: test_in_one_fan_out_state_graph_waiting_edge[postgres_pool]
   '''
   graph TD;
-  	__start__ --> rewrite_query;
-  	analyzer_one --> retriever_one;
-  	qa --> __end__;
-  	retriever_one --> qa;
-  	retriever_two --> qa;
-  	rewrite_query --> analyzer_one;
-  	rewrite_query --> retriever_two;
-  
-  '''
-# ---
-# name: test_in_one_fan_out_state_graph_waiting_edge[postgres_shallow]
-  '''
-  graph TD;
-  	__start__ --> rewrite_query;
-  	analyzer_one --> retriever_one;
-  	qa --> __end__;
-  	retriever_one --> qa;
-  	retriever_two --> qa;
-  	rewrite_query --> analyzer_one;
-  	rewrite_query --> retriever_two;
-  
-  '''
-# ---
-# name: test_in_one_fan_out_state_graph_waiting_edge[sqlite]
-  '''
-  graph TD;
-  	__start__ --> rewrite_query;
-  	analyzer_one --> retriever_one;
-  	qa --> __end__;
-  	retriever_one --> qa;
-  	retriever_two --> qa;
-  	rewrite_query --> analyzer_one;
-  	rewrite_query --> retriever_two;
-  
-  '''
-# ---
-# name: test_in_one_fan_out_state_graph_waiting_edge_custom_state_class
-  '''
-  graph TD;
-  	__start__ --> rewrite_query;
-  	analyzer_one --> retriever_one;
-  	qa --> __end__;
-  	retriever_one --> qa;
-  	retriever_two --> qa;
-  	rewrite_query --> analyzer_one;
-  	rewrite_query -.-> retriever_two;
-  
-  '''
-# ---
-# name: test_in_one_fan_out_state_graph_waiting_edge_custom_state_class_pydantic1.1
-  dict({
-    'definitions': dict({
-      'InnerObject': dict({
-        'properties': dict({
-          'yo': dict({
-            'title': 'Yo',
-            'type': 'integer',
-          }),
-        }),
-        'required': list([
-          'yo',
-        ]),
-        'title': 'InnerObject',
-        'type': 'object',
-      }),
-    }),
-    'properties': dict({
-      'inner': dict({
-        '$ref': '#/definitions/InnerObject',
-      }),
-      'query': dict({
-        'title': 'Query',
-        'type': 'string',
-      }),
-    }),
-    'required': list([
-      'query',
-      'inner',
-    ]),
-    'title': 'Input',
-    'type': 'object',
-  })
+  	__start__ --> rewrite_query;
+  	analyzer_one --> retriever_one;
+  	qa --> __end__;
+  	retriever_one --> qa;
+  	retriever_two --> qa;
+  	rewrite_query --> analyzer_one;
+  	rewrite_query --> retriever_two;
+  
+  '''
 # ---
-# name: test_in_one_fan_out_state_graph_waiting_edge_custom_state_class_pydantic1.2
-  dict({
-    'properties': dict({
-      'answer': dict({
-        'title': 'Answer',
-        'type': 'string',
-      }),
-      'docs': dict({
-        'items': dict({
-          'type': 'string',
-        }),
-        'title': 'Docs',
-        'type': 'array',
-      }),
-    }),
-    'required': list([
-      'answer',
-      'docs',
-    ]),
-    'title': 'Output',
-    'type': 'object',
-  })
+# name: test_in_one_fan_out_state_graph_waiting_edge[postgres_shallow]
+  '''
+  graph TD;
+  	__start__ --> rewrite_query;
+  	analyzer_one --> retriever_one;
+  	qa --> __end__;
+  	retriever_one --> qa;
+  	retriever_two --> qa;
+  	rewrite_query --> analyzer_one;
+  	rewrite_query --> retriever_two;
+  
+  '''
+# ---
+# name: test_in_one_fan_out_state_graph_waiting_edge[sqlite]
+  '''
+  graph TD;
+  	__start__ --> rewrite_query;
+  	analyzer_one --> retriever_one;
+  	qa --> __end__;
+  	retriever_one --> qa;
+  	retriever_two --> qa;
+  	rewrite_query --> analyzer_one;
+  	rewrite_query --> retriever_two;
+  
+  '''
 # ---
-# name: test_in_one_fan_out_state_graph_waiting_edge_custom_state_class_pydantic1[duckdb]
+# name: test_in_one_fan_out_state_graph_waiting_edge_custom_state_class
   '''
   graph TD;
   	__start__ --> rewrite_query;
@@ -2987,7 +2547,7 @@
   
   '''
 # ---
-# name: test_in_one_fan_out_state_graph_waiting_edge_custom_state_class_pydantic1[duckdb].1
+# name: test_in_one_fan_out_state_graph_waiting_edge_custom_state_class_pydantic1.1
   dict({
     'definitions': dict({
       'InnerObject': dict({
@@ -3021,7 +2581,7 @@
     'type': 'object',
   })
 # ---
-# name: test_in_one_fan_out_state_graph_waiting_edge_custom_state_class_pydantic1[duckdb].2
+# name: test_in_one_fan_out_state_graph_waiting_edge_custom_state_class_pydantic1.2
   dict({
     'properties': dict({
       'answer': dict({
@@ -3521,76 +3081,6 @@
     'type': 'object',
   })
 # ---
-# name: test_in_one_fan_out_state_graph_waiting_edge_custom_state_class_pydantic2[duckdb]
-  '''
-  graph TD;
-  	__start__ --> rewrite_query;
-  	analyzer_one --> retriever_one;
-  	qa --> __end__;
-  	retriever_one --> qa;
-  	retriever_two --> qa;
-  	rewrite_query --> analyzer_one;
-  	rewrite_query -.-> retriever_two;
-  
-  '''
-# ---
-# name: test_in_one_fan_out_state_graph_waiting_edge_custom_state_class_pydantic2[duckdb].1
-  dict({
-    '$defs': dict({
-      'InnerObject': dict({
-        'properties': dict({
-          'yo': dict({
-            'title': 'Yo',
-            'type': 'integer',
-          }),
-        }),
-        'required': list([
-          'yo',
-        ]),
-        'title': 'InnerObject',
-        'type': 'object',
-      }),
-    }),
-    'properties': dict({
-      'inner': dict({
-        '$ref': '#/$defs/InnerObject',
-      }),
-      'query': dict({
-        'title': 'Query',
-        'type': 'string',
-      }),
-    }),
-    'required': list([
-      'query',
-      'inner',
-    ]),
-    'title': 'Input',
-    'type': 'object',
-  })
-# ---
-# name: test_in_one_fan_out_state_graph_waiting_edge_custom_state_class_pydantic2[duckdb].2
-  dict({
-    'properties': dict({
-      'answer': dict({
-        'title': 'Answer',
-        'type': 'string',
-      }),
-      'docs': dict({
-        'items': dict({
-          'type': 'string',
-        }),
-        'title': 'Docs',
-        'type': 'array',
-      }),
-    }),
-    'required': list([
-      'answer',
-      'docs',
-    ]),
-    'title': 'Output',
-    'type': 'object',
-  })
-# ---
 # name: test_in_one_fan_out_state_graph_waiting_edge_custom_state_class_pydantic2[memory]
   '''
   graph TD;
@@ -4011,19 +3501,6 @@
     'type': 'object',
   })
 # ---
-# name: test_in_one_fan_out_state_graph_waiting_edge_via_branch[duckdb]
-  '''
-  graph TD;
-  	__start__ --> rewrite_query;
-  	analyzer_one --> retriever_one;
-  	qa --> __end__;
-  	retriever_one --> qa;
-  	retriever_two --> qa;
-  	rewrite_query --> analyzer_one;
-  	rewrite_query -.-> retriever_two;
-  
-  '''
-# ---
 # name: test_in_one_fan_out_state_graph_waiting_edge_via_branch[memory]
   '''
   graph TD;
@@ -4180,87 +3657,6 @@
   
   '''
 # ---
-# name: test_message_graph[duckdb]
-  '{"$defs": {"AIMessage": {"additionalProperties": true, "description": "Message from an AI.\\n\\nAIMessage is returned from a chat model as a response to a prompt.\\n\\nThis message represents the output of the model and consists of both\\nthe raw output as returned by the model together standardized fields\\n(e.g., tool calls, usage metadata) added by the LangChain framework.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "ai", "default": "ai", "enum": ["ai"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}, "tool_calls": {"default": [], "items": {"$ref": "#/$defs/ToolCall"}, "title": "Tool Calls", "type": "array"}, "invalid_tool_calls": {"default": [], "items": {"$ref": "#/$defs/InvalidToolCall"}, "title": "Invalid Tool Calls", "type": "array"}, "usage_metadata": {"anyOf": [{"$ref": "#/$defs/UsageMetadata"}, {"type": "null"}], "default": null}}, "required": ["content"], "title": "AIMessage", "type": "object"}, "AIMessageChunk": {"additionalProperties": true, "description": "Message chunk from an AI.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "AIMessageChunk", "default": "AIMessageChunk", "enum": ["AIMessageChunk"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}, "tool_calls": {"default": [], "items": {"$ref": "#/$defs/ToolCall"}, "title": "Tool Calls", "type": "array"}, "invalid_tool_calls": {"default": [], "items": {"$ref": "#/$defs/InvalidToolCall"}, "title": "Invalid Tool Calls", "type": "array"}, "usage_metadata": {"anyOf": [{"$ref": "#/$defs/UsageMetadata"}, {"type": "null"}], "default": null}, "tool_call_chunks": {"default": [], "items": {"$ref": "#/$defs/ToolCallChunk"}, "title": "Tool Call Chunks", "type": "array"}}, "required": ["content"], "title": "AIMessageChunk", "type": "object"}, "ChatMessage": {"additionalProperties": true, "description": "Message that can be assigned an arbitrary speaker (i.e. role).", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "chat", "default": "chat", "enum": ["chat"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "role": {"title": "Role", "type": "string"}}, "required": ["content", "role"], "title": "ChatMessage", "type": "object"}, "ChatMessageChunk": {"additionalProperties": true, "description": "Chat Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "ChatMessageChunk", "default": "ChatMessageChunk", "enum": ["ChatMessageChunk"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "role": {"title": "Role", "type": "string"}}, "required": ["content", "role"], "title": "ChatMessageChunk", "type": "object"}, "FunctionMessage": {"additionalProperties": true, "description": "Message for passing the result of executing a tool back to a model.\\n\\nFunctionMessage are an older version of the ToolMessage schema, and\\ndo not contain the tool_call_id field.\\n\\nThe tool_call_id field is used to associate the tool call request with the\\ntool call response. This is useful in situations where a chat model is able\\nto request multiple tool calls in parallel.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "function", "default": "function", "enum": ["function"], "title": "Type", "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content", "name"], "title": "FunctionMessage", "type": "object"}, "FunctionMessageChunk": {"additionalProperties": true, "description": "Function Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "FunctionMessageChunk", "default": "FunctionMessageChunk", "enum": ["FunctionMessageChunk"], "title": "Type", "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content", "name"], "title": "FunctionMessageChunk", "type": "object"}, "HumanMessage": {"additionalProperties": true, "description": "Message from a human.\\n\\nHumanMessages are messages that are passed in from a human to the model.\\n\\nExample:\\n\\n    .. code-block:: python\\n\\n        from langchain_core.messages import HumanMessage, SystemMessage\\n\\n        messages = [\\n            SystemMessage(\\n                content=\\"You are a helpful assistant! Your name is Bob.\\"\\n            ),\\n            HumanMessage(\\n                content=\\"What is your name?\\"\\n            )\\n        ]\\n\\n        # Instantiate a chat model and invoke it with the messages\\n        model = ...\\n        print(model.invoke(messages))", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "human", "default": "human", "enum": ["human"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}}, "required": ["content"], "title": "HumanMessage", "type": "object"}, "HumanMessageChunk": {"additionalProperties": true, "description": "Human Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "HumanMessageChunk", "default": "HumanMessageChunk", "enum": ["HumanMessageChunk"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}}, "required": ["content"], "title": "HumanMessageChunk", "type": "object"}, "InputTokenDetails": {"description": "Breakdown of input token counts.\\n\\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\\n\\nExample:\\n\\n    .. code-block:: python\\n\\n        {\\n            \\"audio\\": 10,\\n            \\"cache_creation\\": 200,\\n            \\"cache_read\\": 100,\\n        }\\n\\n.. versionadded:: 0.3.9", "properties": {"audio": {"title": "Audio", "type": "integer"}, "cache_creation": {"title": "Cache Creation", "type": "integer"}, "cache_read": {"title": "Cache Read", "type": "integer"}}, "title": "InputTokenDetails", "type": "object"}, "InvalidToolCall": {"description": "Allowance for errors made by LLM.\\n\\nHere we add an `error` key to surface errors made during generation\\n(e.g., invalid JSON arguments.)", "properties": {"name": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Name"}, "args": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Args"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Id"}, "error": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Error"}, "type": {"const": "invalid_tool_call", "enum": ["invalid_tool_call"], "title": "Type", "type": "string"}}, "required": ["name", "args", "id", "error"], "title": "InvalidToolCall", "type": "object"}, "OutputTokenDetails": {"description": "Breakdown of output token counts.\\n\\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\\n\\nExample:\\n\\n    .. code-block:: python\\n\\n        {\\n            \\"audio\\": 10,\\n            \\"reasoning\\": 200,\\n        }\\n\\n.. versionadded:: 0.3.9", "properties": {"audio": {"title": "Audio", "type": "integer"}, "reasoning": {"title": "Reasoning", "type": "integer"}}, "title": "OutputTokenDetails", "type": "object"}, "SystemMessage": {"additionalProperties": true, "description": "Message for priming AI behavior.\\n\\nThe system message is usually passed in as the first of a sequence\\nof input messages.\\n\\nExample:\\n\\n    .. code-block:: python\\n\\n        from langchain_core.messages import HumanMessage, SystemMessage\\n\\n        messages = [\\n            SystemMessage(\\n                content=\\"You are a helpful assistant! Your name is Bob.\\"\\n            ),\\n            HumanMessage(\\n                content=\\"What is your name?\\"\\n            )\\n        ]\\n\\n        # Define a chat model and invoke it with the messages\\n        print(model.invoke(messages))", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "system", "default": "system", "enum": ["system"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content"], "title": "SystemMessage", "type": "object"}, "SystemMessageChunk": {"additionalProperties": true, "description": "System Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "SystemMessageChunk", "default": "SystemMessageChunk", "enum": ["SystemMessageChunk"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content"], "title": "SystemMessageChunk", "type": "object"}, "ToolCall": {"description": "Represents a request to call a tool.\\n\\nExample:\\n\\n    .. code-block:: python\\n\\n        {\\n            \\"name\\": \\"foo\\",\\n            \\"args\\": {\\"a\\": 1},\\n            \\"id\\": \\"123\\"\\n        }\\n\\n    This represents a request to call the tool named \\"foo\\" with arguments {\\"a\\": 1}\\n    and an identifier of \\"123\\".", "properties": {"name": {"title": "Name", "type": "string"}, "args": {"title": "Args", "type": "object"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Id"}, "type": {"const": "tool_call", "enum": ["tool_call"], "title": "Type", "type": "string"}}, "required": ["name", "args", "id"], "title": "ToolCall", "type": "object"}, "ToolCallChunk": {"description": "A chunk of a tool call (e.g., as part of a stream).\\n\\nWhen merging ToolCallChunks (e.g., via AIMessageChunk.__add__),\\nall string attributes are concatenated. Chunks are only merged if their\\nvalues of `index` are equal and not None.\\n\\nExample:\\n\\n.. code-block:: python\\n\\n    left_chunks = [ToolCallChunk(name=\\"foo\\", args=\'{\\"a\\":\', index=0)]\\n    right_chunks = [ToolCallChunk(name=None, args=\'1}\', index=0)]\\n\\n    (\\n        AIMessageChunk(content=\\"\\", tool_call_chunks=left_chunks)\\n        + AIMessageChunk(content=\\"\\", tool_call_chunks=right_chunks)\\n    ).tool_call_chunks == [ToolCallChunk(name=\'foo\', args=\'{\\"a\\":1}\', index=0)]", "properties": {"name": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Name"}, "args": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Args"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Id"}, "index": {"anyOf": [{"type": "integer"}, {"type": "null"}], "title": "Index"}, "type": {"const": "tool_call_chunk", "enum": ["tool_call_chunk"], "title": "Type", "type": "string"}}, "required": ["name", "args", "id", "index"], "title": "ToolCallChunk", "type": "object"}, "ToolMessage": {"additionalProperties": true, "description": "Message for passing the result of executing a tool back to a model.\\n\\nToolMessages contain the result of a tool invocation. Typically, the result\\nis encoded inside the `content` field.\\n\\nExample: A ToolMessage representing a result of 42 from a tool call with id\\n\\n    .. code-block:: python\\n\\n        from langchain_core.messages import ToolMessage\\n\\n        ToolMessage(content=\'42\', tool_call_id=\'call_Jja7J89XsjrOLA5r!MEOW!SL\')\\n\\n\\nExample: A ToolMessage where only part of the tool output is sent to the model\\n    and the full output is passed in to artifact.\\n\\n    .. versionadded:: 0.2.17\\n\\n    .. code-block:: python\\n\\n        from langchain_core.messages import ToolMessage\\n\\n        tool_output = {\\n            \\"stdout\\": \\"From the graph we can see that the correlation between x and y is ...\\",\\n            \\"stderr\\": None,\\n            \\"artifacts\\": {\\"type\\": \\"image\\", \\"base64_data\\": \\"/9j/4gIcSU...\\"},\\n        }\\n\\n        ToolMessage(\\n            content=tool_output[\\"stdout\\"],\\n            artifact=tool_output,\\n            tool_call_id=\'call_Jja7J89XsjrOLA5r!MEOW!SL\',\\n        )\\n\\nThe tool_call_id field is used to associate the tool call request with the\\ntool call response. This is useful in situations where a chat model is able\\nto request multiple tool calls in parallel.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "tool", "default": "tool", "enum": ["tool"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "tool_call_id": {"title": "Tool Call Id", "type": "string"}, "artifact": {"default": null, "title": "Artifact"}, "status": {"default": "success", "enum": ["success", "error"], "title": "Status", "type": "string"}}, "required": ["content", "tool_call_id"], "title": "ToolMessage", "type": "object"}, "ToolMessageChunk": {"additionalProperties": true, "description": "Tool Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "ToolMessageChunk", "default": "ToolMessageChunk", "enum": ["ToolMessageChunk"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "tool_call_id": {"title": "Tool Call Id", "type": "string"}, "artifact": {"default": null, "title": "Artifact"}, "status": {"default": "success", "enum": ["success", "error"], "title": "Status", "type": "string"}}, "required": ["content", "tool_call_id"], "title": "ToolMessageChunk", "type": "object"}, "UsageMetadata": {"description": "Usage metadata for a message, such as token counts.\\n\\nThis is a standard representation of token usage that is consistent across models.\\n\\nExample:\\n\\n    .. code-block:: python\\n\\n        {\\n            \\"input_tokens\\": 350,\\n            \\"output_tokens\\": 240,\\n            \\"total_tokens\\": 590,\\n            \\"input_token_details\\": {\\n                \\"audio\\": 10,\\n                \\"cache_creation\\": 200,\\n                \\"cache_read\\": 100,\\n            },\\n            \\"output_token_details\\": {\\n                \\"audio\\": 10,\\n                \\"reasoning\\": 200,\\n            }\\n        }\\n\\n.. versionchanged:: 0.3.9\\n\\n    Added ``input_token_details`` and ``output_token_details``.", "properties": {"input_tokens": {"title": "Input Tokens", "type": "integer"}, "output_tokens": {"title": "Output Tokens", "type": "integer"}, "total_tokens": {"title": "Total Tokens", "type": "integer"}, "input_token_details": {"$ref": "#/$defs/InputTokenDetails"}, "output_token_details": {"$ref": "#/$defs/OutputTokenDetails"}}, "required": ["input_tokens", "output_tokens", "total_tokens"], "title": "UsageMetadata", "type": "object"}}, "default": null, "items": {"oneOf": [{"$ref": "#/$defs/AIMessage"}, {"$ref": "#/$defs/HumanMessage"}, {"$ref": "#/$defs/ChatMessage"}, {"$ref": "#/$defs/SystemMessage"}, {"$ref": "#/$defs/FunctionMessage"}, {"$ref": "#/$defs/ToolMessage"}, {"$ref": "#/$defs/AIMessageChunk"}, {"$ref": "#/$defs/HumanMessageChunk"}, {"$ref": "#/$defs/ChatMessageChunk"}, {"$ref": "#/$defs/SystemMessageChunk"}, {"$ref": "#/$defs/FunctionMessageChunk"}, {"$ref": "#/$defs/ToolMessageChunk"}]}, "title": "LangGraphInput", "type": "array"}'
-# ---
-# name: test_message_graph[duckdb].1
-  '{"$defs": {"AIMessage": {"additionalProperties": true, "description": "Message from an AI.\\n\\nAIMessage is returned from a chat model as a response to a prompt.\\n\\nThis message represents the output of the model and consists of both\\nthe raw output as returned by the model together standardized fields\\n(e.g., tool calls, usage metadata) added by the LangChain framework.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "ai", "default": "ai", "enum": ["ai"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}, "tool_calls": {"default": [], "items": {"$ref": "#/$defs/ToolCall"}, "title": "Tool Calls", "type": "array"}, "invalid_tool_calls": {"default": [], "items": {"$ref": "#/$defs/InvalidToolCall"}, "title": "Invalid Tool Calls", "type": "array"}, "usage_metadata": {"anyOf": [{"$ref": "#/$defs/UsageMetadata"}, {"type": "null"}], "default": null}}, "required": ["content"], "title": "AIMessage", "type": "object"}, "AIMessageChunk": {"additionalProperties": true, "description": "Message chunk from an AI.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "AIMessageChunk", "default": "AIMessageChunk", "enum": ["AIMessageChunk"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}, "tool_calls": {"default": [], "items": {"$ref": "#/$defs/ToolCall"}, "title": "Tool Calls", "type": "array"}, "invalid_tool_calls": {"default": [], "items": {"$ref": "#/$defs/InvalidToolCall"}, "title": "Invalid Tool Calls", "type": "array"}, "usage_metadata": {"anyOf": [{"$ref": "#/$defs/UsageMetadata"}, {"type": "null"}], "default": null}, "tool_call_chunks": {"default": [], "items": {"$ref": "#/$defs/ToolCallChunk"}, "title": "Tool Call Chunks", "type": "array"}}, "required": ["content"], "title": "AIMessageChunk", "type": "object"}, "ChatMessage": {"additionalProperties": true, "description": "Message that can be assigned an arbitrary speaker (i.e. role).", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "chat", "default": "chat", "enum": ["chat"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "role": {"title": "Role", "type": "string"}}, "required": ["content", "role"], "title": "ChatMessage", "type": "object"}, "ChatMessageChunk": {"additionalProperties": true, "description": "Chat Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "ChatMessageChunk", "default": "ChatMessageChunk", "enum": ["ChatMessageChunk"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "role": {"title": "Role", "type": "string"}}, "required": ["content", "role"], "title": "ChatMessageChunk", "type": "object"}, "FunctionMessage": {"additionalProperties": true, "description": "Message for passing the result of executing a tool back to a model.\\n\\nFunctionMessage are an older version of the ToolMessage schema, and\\ndo not contain the tool_call_id field.\\n\\nThe tool_call_id field is used to associate the tool call request with the\\ntool call response. This is useful in situations where a chat model is able\\nto request multiple tool calls in parallel.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "function", "default": "function", "enum": ["function"], "title": "Type", "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content", "name"], "title": "FunctionMessage", "type": "object"}, "FunctionMessageChunk": {"additionalProperties": true, "description": "Function Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "FunctionMessageChunk", "default": "FunctionMessageChunk", "enum": ["FunctionMessageChunk"], "title": "Type", "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content", "name"], "title": "FunctionMessageChunk", "type": "object"}, "HumanMessage": {"additionalProperties": true, "description": "Message from a human.\\n\\nHumanMessages are messages that are passed in from a human to the model.\\n\\nExample:\\n\\n    .. code-block:: python\\n\\n        from langchain_core.messages import HumanMessage, SystemMessage\\n\\n        messages = [\\n            SystemMessage(\\n                content=\\"You are a helpful assistant! Your name is Bob.\\"\\n            ),\\n            HumanMessage(\\n                content=\\"What is your name?\\"\\n            )\\n        ]\\n\\n        # Instantiate a chat model and invoke it with the messages\\n        model = ...\\n        print(model.invoke(messages))", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "human", "default": "human", "enum": ["human"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}}, "required": ["content"], "title": "HumanMessage", "type": "object"}, "HumanMessageChunk": {"additionalProperties": true, "description": "Human Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "HumanMessageChunk", "default": "HumanMessageChunk", "enum": ["HumanMessageChunk"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}}, "required": ["content"], "title": "HumanMessageChunk", "type": "object"}, "InputTokenDetails": {"description": "Breakdown of input token counts.\\n\\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\\n\\nExample:\\n\\n    .. code-block:: python\\n\\n        {\\n            \\"audio\\": 10,\\n            \\"cache_creation\\": 200,\\n            \\"cache_read\\": 100,\\n        }\\n\\n.. versionadded:: 0.3.9", "properties": {"audio": {"title": "Audio", "type": "integer"}, "cache_creation": {"title": "Cache Creation", "type": "integer"}, "cache_read": {"title": "Cache Read", "type": "integer"}}, "title": "InputTokenDetails", "type": "object"}, "InvalidToolCall": {"description": "Allowance for errors made by LLM.\\n\\nHere we add an `error` key to surface errors made during generation\\n(e.g., invalid JSON arguments.)", "properties": {"name": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Name"}, "args": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Args"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Id"}, "error": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Error"}, "type": {"const": "invalid_tool_call", "enum": ["invalid_tool_call"], "title": "Type", "type": "string"}}, "required": ["name", "args", "id", "error"], "title": "InvalidToolCall", "type": "object"}, "OutputTokenDetails": {"description": "Breakdown of output token counts.\\n\\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\\n\\nExample:\\n\\n    .. code-block:: python\\n\\n        {\\n            \\"audio\\": 10,\\n            \\"reasoning\\": 200,\\n        }\\n\\n.. versionadded:: 0.3.9", "properties": {"audio": {"title": "Audio", "type": "integer"}, "reasoning": {"title": "Reasoning", "type": "integer"}}, "title": "OutputTokenDetails", "type": "object"}, "SystemMessage": {"additionalProperties": true, "description": "Message for priming AI behavior.\\n\\nThe system message is usually passed in as the first of a sequence\\nof input messages.\\n\\nExample:\\n\\n    .. code-block:: python\\n\\n        from langchain_core.messages import HumanMessage, SystemMessage\\n\\n        messages = [\\n            SystemMessage(\\n                content=\\"You are a helpful assistant! Your name is Bob.\\"\\n            ),\\n            HumanMessage(\\n                content=\\"What is your name?\\"\\n            )\\n        ]\\n\\n        # Define a chat model and invoke it with the messages\\n        print(model.invoke(messages))", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "system", "default": "system", "enum": ["system"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content"], "title": "SystemMessage", "type": "object"}, "SystemMessageChunk": {"additionalProperties": true, "description": "System Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "SystemMessageChunk", "default": "SystemMessageChunk", "enum": ["SystemMessageChunk"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content"], "title": "SystemMessageChunk", "type": "object"}, "ToolCall": {"description": "Represents a request to call a tool.\\n\\nExample:\\n\\n    .. code-block:: python\\n\\n        {\\n            \\"name\\": \\"foo\\",\\n            \\"args\\": {\\"a\\": 1},\\n            \\"id\\": \\"123\\"\\n        }\\n\\n    This represents a request to call the tool named \\"foo\\" with arguments {\\"a\\": 1}\\n    and an identifier of \\"123\\".", "properties": {"name": {"title": "Name", "type": "string"}, "args": {"title": "Args", "type": "object"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Id"}, "type": {"const": "tool_call", "enum": ["tool_call"], "title": "Type", "type": "string"}}, "required": ["name", "args", "id"], "title": "ToolCall", "type": "object"}, "ToolCallChunk": {"description": "A chunk of a tool call (e.g., as part of a stream).\\n\\nWhen merging ToolCallChunks (e.g., via AIMessageChunk.__add__),\\nall string attributes are concatenated. Chunks are only merged if their\\nvalues of `index` are equal and not None.\\n\\nExample:\\n\\n.. code-block:: python\\n\\n    left_chunks = [ToolCallChunk(name=\\"foo\\", args=\'{\\"a\\":\', index=0)]\\n    right_chunks = [ToolCallChunk(name=None, args=\'1}\', index=0)]\\n\\n    (\\n        AIMessageChunk(content=\\"\\", tool_call_chunks=left_chunks)\\n        + AIMessageChunk(content=\\"\\", tool_call_chunks=right_chunks)\\n    ).tool_call_chunks == [ToolCallChunk(name=\'foo\', args=\'{\\"a\\":1}\', index=0)]", "properties": {"name": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Name"}, "args": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Args"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Id"}, "index": {"anyOf": [{"type": "integer"}, {"type": "null"}], "title": "Index"}, "type": {"const": "tool_call_chunk", "enum": ["tool_call_chunk"], "title": "Type", "type": "string"}}, "required": ["name", "args", "id", "index"], "title": "ToolCallChunk", "type": "object"}, "ToolMessage": {"additionalProperties": true, "description": "Message for passing the result of executing a tool back to a model.\\n\\nToolMessages contain the result of a tool invocation. Typically, the result\\nis encoded inside the `content` field.\\n\\nExample: A ToolMessage representing a result of 42 from a tool call with id\\n\\n    .. code-block:: python\\n\\n        from langchain_core.messages import ToolMessage\\n\\n        ToolMessage(content=\'42\', tool_call_id=\'call_Jja7J89XsjrOLA5r!MEOW!SL\')\\n\\n\\nExample: A ToolMessage where only part of the tool output is sent to the model\\n    and the full output is passed in to artifact.\\n\\n    .. versionadded:: 0.2.17\\n\\n    .. code-block:: python\\n\\n        from langchain_core.messages import ToolMessage\\n\\n        tool_output = {\\n            \\"stdout\\": \\"From the graph we can see that the correlation between x and y is ...\\",\\n            \\"stderr\\": None,\\n            \\"artifacts\\": {\\"type\\": \\"image\\", \\"base64_data\\": \\"/9j/4gIcSU...\\"},\\n        }\\n\\n        ToolMessage(\\n            content=tool_output[\\"stdout\\"],\\n            artifact=tool_output,\\n            tool_call_id=\'call_Jja7J89XsjrOLA5r!MEOW!SL\',\\n        )\\n\\nThe tool_call_id field is used to associate the tool call request with the\\ntool call response. This is useful in situations where a chat model is able\\nto request multiple tool calls in parallel.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "tool", "default": "tool", "enum": ["tool"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "tool_call_id": {"title": "Tool Call Id", "type": "string"}, "artifact": {"default": null, "title": "Artifact"}, "status": {"default": "success", "enum": ["success", "error"], "title": "Status", "type": "string"}}, "required": ["content", "tool_call_id"], "title": "ToolMessage", "type": "object"}, "ToolMessageChunk": {"additionalProperties": true, "description": "Tool Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "ToolMessageChunk", "default": "ToolMessageChunk", "enum": ["ToolMessageChunk"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "tool_call_id": {"title": "Tool Call Id", "type": "string"}, "artifact": {"default": null, "title": "Artifact"}, "status": {"default": "success", "enum": ["success", "error"], "title": "Status", "type": "string"}}, "required": ["content", "tool_call_id"], "title": "ToolMessageChunk", "type": "object"}, "UsageMetadata": {"description": "Usage metadata for a message, such as token counts.\\n\\nThis is a standard representation of token usage that is consistent across models.\\n\\nExample:\\n\\n    .. code-block:: python\\n\\n        {\\n            \\"input_tokens\\": 350,\\n            \\"output_tokens\\": 240,\\n            \\"total_tokens\\": 590,\\n            \\"input_token_details\\": {\\n                \\"audio\\": 10,\\n                \\"cache_creation\\": 200,\\n                \\"cache_read\\": 100,\\n            },\\n            \\"output_token_details\\": {\\n                \\"audio\\": 10,\\n                \\"reasoning\\": 200,\\n            }\\n        }\\n\\n.. versionchanged:: 0.3.9\\n\\n    Added ``input_token_details`` and ``output_token_details``.", "properties": {"input_tokens": {"title": "Input Tokens", "type": "integer"}, "output_tokens": {"title": "Output Tokens", "type": "integer"}, "total_tokens": {"title": "Total Tokens", "type": "integer"}, "input_token_details": {"$ref": "#/$defs/InputTokenDetails"}, "output_token_details": {"$ref": "#/$defs/OutputTokenDetails"}}, "required": ["input_tokens", "output_tokens", "total_tokens"], "title": "UsageMetadata", "type": "object"}}, "default": null, "items": {"oneOf": [{"$ref": "#/$defs/AIMessage"}, {"$ref": "#/$defs/HumanMessage"}, {"$ref": "#/$defs/ChatMessage"}, {"$ref": "#/$defs/SystemMessage"}, {"$ref": "#/$defs/FunctionMessage"}, {"$ref": "#/$defs/ToolMessage"}, {"$ref": "#/$defs/AIMessageChunk"}, {"$ref": "#/$defs/HumanMessageChunk"}, {"$ref": "#/$defs/ChatMessageChunk"}, {"$ref": "#/$defs/SystemMessageChunk"}, {"$ref": "#/$defs/FunctionMessageChunk"}, {"$ref": "#/$defs/ToolMessageChunk"}]}, "title": "LangGraphOutput", "type": "array"}'
-# ---
-# name: test_message_graph[duckdb].2
-  '''
-  {
-    "nodes": [
-      {
-        "id": "__start__",
-        "type": "schema",
-        "data": "__start__"
-      },
-      {
-        "id": "agent",
-        "type": "runnable",
-        "data": {
-          "id": [
-            "tests",
-            "test_pregel",
-            "FakeFuntionChatModel"
-          ],
-          "name": "agent"
-        }
-      },
-      {
-        "id": "tools",
-        "type": "runnable",
-        "data": {
-          "id": [
-            "langgraph",
-            "prebuilt",
-            "tool_node",
-            "ToolNode"
-          ],
-          "name": "tools"
-        }
-      },
-      {
-        "id": "__end__",
-        "type": "schema",
-        "data": "__end__"
-      }
-    ],
-    "edges": [
-      {
-        "source": "__start__",
-        "target": "agent"
-      },
-      {
-        "source": "tools",
-        "target": "agent"
-      },
-      {
-        "source": "agent",
-        "target": "tools",
-        "data": "continue",
-        "conditional": true
-      },
-      {
-        "source": "agent",
-        "target": "__end__",
-        "data": "end",
-        "conditional": true
-      }
-    ]
-  }
-  '''
-# ---
-# name: test_message_graph[duckdb].3
-  '''
-  graph TD;
-  	__start__ --> agent;
-  	tools --> agent;
-  	agent -. &nbsp;continue&nbsp; .-> tools;
-  	agent -. &nbsp;end&nbsp; .-> __end__;
-  
-  '''
-# ---
 # name: test_message_graph[memory]
   '{"$defs": {"AIMessage": {"additionalProperties": true, "description": "Message from an AI.\\n\\nAIMessage is returned from a chat model as a response to a prompt.\\n\\nThis message represents the output of the model and consists of both\\nthe raw output as returned by the model together standardized fields\\n(e.g., tool calls, usage metadata) added by the LangChain framework.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "ai", "default": "ai", "enum": ["ai"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}, "tool_calls": {"default": [], "items": {"$ref": "#/$defs/ToolCall"}, "title": "Tool Calls", "type": "array"}, "invalid_tool_calls": {"default": [], "items": {"$ref": "#/$defs/InvalidToolCall"}, "title": "Invalid Tool Calls", "type": "array"}, "usage_metadata": {"anyOf": [{"$ref": "#/$defs/UsageMetadata"}, {"type": "null"}], "default": null}}, "required": ["content"], "title": "AIMessage", "type": "object"}, "AIMessageChunk": {"additionalProperties": true, "description": "Message chunk from an AI.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "AIMessageChunk", "default": "AIMessageChunk", "enum": ["AIMessageChunk"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}, "tool_calls": {"default": [], "items": {"$ref": "#/$defs/ToolCall"}, "title": "Tool Calls", "type": "array"}, "invalid_tool_calls": {"default": [], "items": {"$ref": "#/$defs/InvalidToolCall"}, "title": "Invalid Tool Calls", "type": "array"}, "usage_metadata": {"anyOf": [{"$ref": "#/$defs/UsageMetadata"}, {"type": "null"}], "default": null}, "tool_call_chunks": {"default": [], "items": {"$ref": "#/$defs/ToolCallChunk"}, "title": "Tool Call Chunks", "type": "array"}}, "required": ["content"], "title": "AIMessageChunk", "type": "object"}, "ChatMessage": {"additionalProperties": true, "description": "Message that can be assigned an arbitrary speaker (i.e. role).", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "chat", "default": "chat", "enum": ["chat"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "role": {"title": "Role", "type": "string"}}, "required": ["content", "role"], "title": "ChatMessage", "type": "object"}, "ChatMessageChunk": {"additionalProperties": true, "description": "Chat Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "ChatMessageChunk", "default": "ChatMessageChunk", "enum": ["ChatMessageChunk"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "role": {"title": "Role", "type": "string"}}, "required": ["content", "role"], "title": "ChatMessageChunk", "type": "object"}, "FunctionMessage": {"additionalProperties": true, "description": "Message for passing the result of executing a tool back to a model.\\n\\nFunctionMessage are an older version of the ToolMessage schema, and\\ndo not contain the tool_call_id field.\\n\\nThe tool_call_id field is used to associate the tool call request with the\\ntool call response. This is useful in situations where a chat model is able\\nto request multiple tool calls in parallel.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "function", "default": "function", "enum": ["function"], "title": "Type", "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content", "name"], "title": "FunctionMessage", "type": "object"}, "FunctionMessageChunk": {"additionalProperties": true, "description": "Function Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "FunctionMessageChunk", "default": "FunctionMessageChunk", "enum": ["FunctionMessageChunk"], "title": "Type", "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content", "name"], "title": "FunctionMessageChunk", "type": "object"}, "HumanMessage": {"additionalProperties": true, "description": "Message from a human.\\n\\nHumanMessages are messages that are passed in from a human to the model.\\n\\nExample:\\n\\n    .. code-block:: python\\n\\n        from langchain_core.messages import HumanMessage, SystemMessage\\n\\n        messages = [\\n            SystemMessage(\\n                content=\\"You are a helpful assistant! Your name is Bob.\\"\\n            ),\\n            HumanMessage(\\n                content=\\"What is your name?\\"\\n            )\\n        ]\\n\\n        # Instantiate a chat model and invoke it with the messages\\n        model = ...\\n        print(model.invoke(messages))", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "human", "default": "human", "enum": ["human"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}}, "required": ["content"], "title": "HumanMessage", "type": "object"}, "HumanMessageChunk": {"additionalProperties": true, "description": "Human Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "HumanMessageChunk", "default": "HumanMessageChunk", "enum": ["HumanMessageChunk"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "example": {"default": false, "title": "Example", "type": "boolean"}}, "required": ["content"], "title": "HumanMessageChunk", "type": "object"}, "InputTokenDetails": {"description": "Breakdown of input token counts.\\n\\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\\n\\nExample:\\n\\n    .. code-block:: python\\n\\n        {\\n            \\"audio\\": 10,\\n            \\"cache_creation\\": 200,\\n            \\"cache_read\\": 100,\\n        }\\n\\n.. versionadded:: 0.3.9", "properties": {"audio": {"title": "Audio", "type": "integer"}, "cache_creation": {"title": "Cache Creation", "type": "integer"}, "cache_read": {"title": "Cache Read", "type": "integer"}}, "title": "InputTokenDetails", "type": "object"}, "InvalidToolCall": {"description": "Allowance for errors made by LLM.\\n\\nHere we add an `error` key to surface errors made during generation\\n(e.g., invalid JSON arguments.)", "properties": {"name": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Name"}, "args": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Args"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Id"}, "error": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Error"}, "type": {"const": "invalid_tool_call", "enum": ["invalid_tool_call"], "title": "Type", "type": "string"}}, "required": ["name", "args", "id", "error"], "title": "InvalidToolCall", "type": "object"}, "OutputTokenDetails": {"description": "Breakdown of output token counts.\\n\\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\\n\\nExample:\\n\\n    .. code-block:: python\\n\\n        {\\n            \\"audio\\": 10,\\n            \\"reasoning\\": 200,\\n        }\\n\\n.. versionadded:: 0.3.9", "properties": {"audio": {"title": "Audio", "type": "integer"}, "reasoning": {"title": "Reasoning", "type": "integer"}}, "title": "OutputTokenDetails", "type": "object"}, "SystemMessage": {"additionalProperties": true, "description": "Message for priming AI behavior.\\n\\nThe system message is usually passed in as the first of a sequence\\nof input messages.\\n\\nExample:\\n\\n    .. code-block:: python\\n\\n        from langchain_core.messages import HumanMessage, SystemMessage\\n\\n        messages = [\\n            SystemMessage(\\n                content=\\"You are a helpful assistant! Your name is Bob.\\"\\n            ),\\n            HumanMessage(\\n                content=\\"What is your name?\\"\\n            )\\n        ]\\n\\n        # Define a chat model and invoke it with the messages\\n        print(model.invoke(messages))", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "system", "default": "system", "enum": ["system"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content"], "title": "SystemMessage", "type": "object"}, "SystemMessageChunk": {"additionalProperties": true, "description": "System Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "SystemMessageChunk", "default": "SystemMessageChunk", "enum": ["SystemMessageChunk"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content"], "title": "SystemMessageChunk", "type": "object"}, "ToolCall": {"description": "Represents a request to call a tool.\\n\\nExample:\\n\\n    .. code-block:: python\\n\\n        {\\n            \\"name\\": \\"foo\\",\\n            \\"args\\": {\\"a\\": 1},\\n            \\"id\\": \\"123\\"\\n        }\\n\\n    This represents a request to call the tool named \\"foo\\" with arguments {\\"a\\": 1}\\n    and an identifier of \\"123\\".", "properties": {"name": {"title": "Name", "type": "string"}, "args": {"title": "Args", "type": "object"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Id"}, "type": {"const": "tool_call", "enum": ["tool_call"], "title": "Type", "type": "string"}}, "required": ["name", "args", "id"], "title": "ToolCall", "type": "object"}, "ToolCallChunk": {"description": "A chunk of a tool call (e.g., as part of a stream).\\n\\nWhen merging ToolCallChunks (e.g., via AIMessageChunk.__add__),\\nall string attributes are concatenated. Chunks are only merged if their\\nvalues of `index` are equal and not None.\\n\\nExample:\\n\\n.. code-block:: python\\n\\n    left_chunks = [ToolCallChunk(name=\\"foo\\", args=\'{\\"a\\":\', index=0)]\\n    right_chunks = [ToolCallChunk(name=None, args=\'1}\', index=0)]\\n\\n    (\\n        AIMessageChunk(content=\\"\\", tool_call_chunks=left_chunks)\\n        + AIMessageChunk(content=\\"\\", tool_call_chunks=right_chunks)\\n    ).tool_call_chunks == [ToolCallChunk(name=\'foo\', args=\'{\\"a\\":1}\', index=0)]", "properties": {"name": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Name"}, "args": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Args"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "title": "Id"}, "index": {"anyOf": [{"type": "integer"}, {"type": "null"}], "title": "Index"}, "type": {"const": "tool_call_chunk", "enum": ["tool_call_chunk"], "title": "Type", "type": "string"}}, "required": ["name", "args", "id", "index"], "title": "ToolCallChunk", "type": "object"}, "ToolMessage": {"additionalProperties": true, "description": "Message for passing the result of executing a tool back to a model.\\n\\nToolMessages contain the result of a tool invocation. Typically, the result\\nis encoded inside the `content` field.\\n\\nExample: A ToolMessage representing a result of 42 from a tool call with id\\n\\n    .. code-block:: python\\n\\n        from langchain_core.messages import ToolMessage\\n\\n        ToolMessage(content=\'42\', tool_call_id=\'call_Jja7J89XsjrOLA5r!MEOW!SL\')\\n\\n\\nExample: A ToolMessage where only part of the tool output is sent to the model\\n    and the full output is passed in to artifact.\\n\\n    .. versionadded:: 0.2.17\\n\\n    .. code-block:: python\\n\\n        from langchain_core.messages import ToolMessage\\n\\n        tool_output = {\\n            \\"stdout\\": \\"From the graph we can see that the correlation between x and y is ...\\",\\n            \\"stderr\\": None,\\n            \\"artifacts\\": {\\"type\\": \\"image\\", \\"base64_data\\": \\"/9j/4gIcSU...\\"},\\n        }\\n\\n        ToolMessage(\\n            content=tool_output[\\"stdout\\"],\\n            artifact=tool_output,\\n            tool_call_id=\'call_Jja7J89XsjrOLA5r!MEOW!SL\',\\n        )\\n\\nThe tool_call_id field is used to associate the tool call request with the\\ntool call response. This is useful in situations where a chat model is able\\nto request multiple tool calls in parallel.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "tool", "default": "tool", "enum": ["tool"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "tool_call_id": {"title": "Tool Call Id", "type": "string"}, "artifact": {"default": null, "title": "Artifact"}, "status": {"default": "success", "enum": ["success", "error"], "title": "Status", "type": "string"}}, "required": ["content", "tool_call_id"], "title": "ToolMessage", "type": "object"}, "ToolMessageChunk": {"additionalProperties": true, "description": "Tool Message chunk.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"const": "ToolMessageChunk", "default": "ToolMessageChunk", "enum": ["ToolMessageChunk"], "title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}, "tool_call_id": {"title": "Tool Call Id", "type": "string"}, "artifact": {"default": null, "title": "Artifact"}, "status": {"default": "success", "enum": ["success", "error"], "title": "Status", "type": "string"}}, "required": ["content", "tool_call_id"], "title": "ToolMessageChunk", "type": "object"}, "UsageMetadata": {"description": "Usage metadata for a message, such as token counts.\\n\\nThis is a standard representation of token usage that is consistent across models.\\n\\nExample:\\n\\n    .. code-block:: python\\n\\n        {\\n            \\"input_tokens\\": 350,\\n            \\"output_tokens\\": 240,\\n            \\"total_tokens\\": 590,\\n            \\"input_token_details\\": {\\n                \\"audio\\": 10,\\n                \\"cache_creation\\": 200,\\n                \\"cache_read\\": 100,\\n            },\\n            \\"output_token_details\\": {\\n                \\"audio\\": 10,\\n                \\"reasoning\\": 200,\\n            }\\n        }\\n\\n.. versionchanged:: 0.3.9\\n\\n    Added ``input_token_details`` and ``output_token_details``.", "properties": {"input_tokens": {"title": "Input Tokens", "type": "integer"}, "output_tokens": {"title": "Output Tokens", "type": "integer"}, "total_tokens": {"title": "Total Tokens", "type": "integer"}, "input_token_details": {"$ref": "#/$defs/InputTokenDetails"}, "output_token_details": {"$ref": "#/$defs/OutputTokenDetails"}}, "required": ["input_tokens", "output_tokens", "total_tokens"], "title": "UsageMetadata", "type": "object"}}, "default": null, "items": {"oneOf": [{"$ref": "#/$defs/AIMessage"}, {"$ref": "#/$defs/HumanMessage"}, {"$ref": "#/$defs/ChatMessage"}, {"$ref": "#/$defs/SystemMessage"}, {"$ref": "#/$defs/FunctionMessage"}, {"$ref": "#/$defs/ToolMessage"}, {"$ref": "#/$defs/AIMessageChunk"}, {"$ref": "#/$defs/HumanMessageChunk"}, {"$ref": "#/$defs/ChatMessageChunk"}, {"$ref": "#/$defs/SystemMessageChunk"}, {"$ref": "#/$defs/FunctionMessageChunk"}, {"$ref": "#/$defs/ToolMessageChunk"}]}, "title": "LangGraphInput", "type": "array"}'
 # ---
@@ -5135,24 +4531,6 @@
   
   '''
 # ---
-# name: test_start_branch_then[duckdb]
-  '''
-  %%{init: {'flowchart': {'curve': 'linear'}}}%%
-  graph TD;
-  	__start__([<p>__start__</p>]):::first
-  	tool_two_slow(tool_two_slow)
-  	tool_two_fast(tool_two_fast)
-  	__end__([<p>__end__</p>]):::last
-  	__start__ -.-> tool_two_slow;
-  	tool_two_slow --> __end__;
-  	__start__ -.-> tool_two_fast;
-  	tool_two_fast --> __end__;
-  	classDef default fill:#f2f0ff,line-height:1.2
-  	classDef first fill-opacity:0
-  	classDef last fill:#bfb6fc
-  
-  '''
-# ---
 # name: test_start_branch_then[memory]
   '''
   %%{init: {'flowchart': {'curve': 'linear'}}}%%
@@ -5270,31 +4648,6 @@
 # name: test_state_graph_w_config_inherited_state_keys.2
   '{"$defs": {"AgentAction": {"description": "Represents a request to execute an action by an agent.\\n\\nThe action consists of the name of the tool to execute and the input to pass\\nto the tool. The log is used to pass along extra information about the action.", "properties": {"tool": {"title": "Tool", "type": "string"}, "tool_input": {"anyOf": [{"type": "string"}, {"type": "object"}], "title": "Tool Input"}, "log": {"title": "Log", "type": "string"}, "type": {"const": "AgentAction", "default": "AgentAction", "enum": ["AgentAction"], "title": "Type", "type": "string"}}, "required": ["tool", "tool_input", "log"], "title": "AgentAction", "type": "object"}, "AgentFinish": {"description": "Final return value of an ActionAgent.\\n\\nAgents return an AgentFinish when they have reached a stopping condition.", "properties": {"return_values": {"title": "Return Values", "type": "object"}, "log": {"title": "Log", "type": "string"}, "type": {"const": "AgentFinish", "default": "AgentFinish", "enum": ["AgentFinish"], "title": "Type", "type": "string"}}, "required": ["return_values", "log"], "title": "AgentFinish", "type": "object"}}, "properties": {"input": {"title": "Input", "type": "string"}, "agent_outcome": {"anyOf": [{"$ref": "#/$defs/AgentAction"}, {"$ref": "#/$defs/AgentFinish"}, {"type": "null"}], "default": null, "title": "Agent Outcome"}, "intermediate_steps": {"default": null, "items": {"maxItems": 2, "minItems": 2, "prefixItems": [{"$ref": "#/$defs/AgentAction"}, {"type": "string"}], "type": "array"}, "title": "Intermediate Steps", "type": "array"}}, "required": ["input"], "title": "LangGraphOutput", "type": "object"}'
 # ---
-# name: test_weather_subgraph[duckdb]
-  '''
-  %%{init: {'flowchart': {'curve': 'linear'}}}%%
-  graph TD;
-  	__start__([<p>__start__</p>]):::first
-  	router_node(router_node)
-  	normal_llm_node(normal_llm_node)
-  	weather_graph_model_node(model_node)
-  	weather_graph_weather_node(weather_node<hr/><small><em>__interrupt = before</em></small>)
-  	__end__([<p>__end__</p>]):::last
-  	__start__ --> router_node;
-  	normal_llm_node --> __end__;
-  	weather_graph_weather_node --> __end__;
-  	router_node -.-> normal_llm_node;
-  	router_node -.-> weather_graph_model_node;
-  	router_node -.-> __end__;
-  	subgraph weather_graph
-  	weather_graph_model_node --> weather_graph_weather_node;
-  	end
-  	classDef default fill:#f2f0ff,line-height:1.2
-  	classDef first fill-opacity:0
-  	classDef last fill:#bfb6fc
-  
-  '''
-# ---
 # name: test_weather_subgraph[memory]
   '''
   %%{init: {'flowchart': {'curve': 'linear'}}}%%
diff --git a/libs/langgraph/tests/__snapshots__/test_pregel_async.ambr b/libs/langgraph/tests/__snapshots__/test_pregel_async.ambr
index 22c2562ce..69c63b531 100644
--- a/libs/langgraph/tests/__snapshots__/test_pregel_async.ambr
+++ b/libs/langgraph/tests/__snapshots__/test_pregel_async.ambr
@@ -329,127 +329,6 @@
     'type': 'object',
   })
 # ---
-# name: test_in_one_fan_out_state_graph_waiting_edge_custom_state_class_pydantic2[duckdb_aio]
-  '''
-  graph TD;
-  	__start__ --> rewrite_query;
-  	analyzer_one --> retriever_one;
-  	qa --> __end__;
-  	retriever_one --> qa;
-  	retriever_two --> qa;
-  	rewrite_query --> analyzer_one;
-  	rewrite_query -.-> retriever_two;
-  
-  '''
-# ---
-# name: test_in_one_fan_out_state_graph_waiting_edge_custom_state_class_pydantic2[duckdb_aio].1
-  dict({
-    '$defs': dict({
-      'InnerObject': dict({
-        'properties': dict({
-          'yo': dict({
-            'title': 'Yo',
-            'type': 'integer',
-          }),
-        }),
-        'required': list([
-          'yo',
-        ]),
-        'title': 'InnerObject',
-        'type': 'object',
-      }),
-    }),
-    'properties': dict({
-      'answer': dict({
-        'anyOf': list([
-          dict({
-            'type': 'string',
-          }),
-          dict({
-            'type': 'null',
-          }),
-        ]),
-        'default': None,
-        'title': 'Answer',
-      }),
-      'docs': dict({
-        'items': dict({
-          'type': 'string',
-        }),
-        'title': 'Docs',
-        'type': 'array',
-      }),
-      'inner': dict({
-        '$ref': '#/$defs/InnerObject',
-      }),
-      'query': dict({
-        'title': 'Query',
-        'type': 'string',
-      }),
-    }),
-    'required': list([
-      'query',
-      'inner',
-      'docs',
-    ]),
-    'title': 'State',
-    'type': 'object',
-  })
-# ---
-# name: test_in_one_fan_out_state_graph_waiting_edge_custom_state_class_pydantic2[duckdb_aio].2
-  dict({
-    '$defs': dict({
-      'InnerObject': dict({
-        'properties': dict({
-          'yo': dict({
-            'title': 'Yo',
-            'type': 'integer',
-          }),
-        }),
-        'required': list([
-          'yo',
-        ]),
-        'title': 'InnerObject',
-        'type': 'object',
-      }),
-    }),
-    'properties': dict({
-      'answer': dict({
-        'anyOf': list([
-          dict({
-            'type': 'string',
-          }),
-          dict({
-            'type': 'null',
-          }),
-        ]),
-        'default': None,
-        'title': 'Answer',
-      }),
-      'docs': dict({
-        'items': dict({
-          'type': 'string',
-        }),
-        'title': 'Docs',
-        'type': 'array',
-      }),
-      'inner': dict({
-        '$ref': '#/$defs/InnerObject',
-      }),
-      'query': dict({
-        'title': 'Query',
-        'type': 'string',
-      }),
-    }),
-    'required': list([
-      'query',
-      'inner',
-      'docs',
-    ]),
-    'title': 'State',
-    'type': 'object',
-  })
-# ---
 # name: test_in_one_fan_out_state_graph_waiting_edge_custom_state_class_pydantic2[memory]
   '''
   graph TD;
@@ -1513,31 +1392,6 @@
   
   '''
 # ---
-# name: test_weather_subgraph[duckdb_aio]
-  '''
-  %%{init: {'flowchart': {'curve': 'linear'}}}%%
-  graph TD;
-  	__start__([<p>__start__</p>]):::first
-  	router_node(router_node)
-  	normal_llm_node(normal_llm_node)
-  	weather_graph_model_node(model_node)
-  	weather_graph_weather_node(weather_node<hr/><small><em>__interrupt = before</em></small>)
-  	__end__([<p>__end__</p>]):::last
-  	__start__ --> router_node;
-  	normal_llm_node --> __end__;
-  	weather_graph_weather_node --> __end__;
-  	router_node -.-> normal_llm_node;
-  	router_node -.-> weather_graph_model_node;
-  	router_node -.-> __end__;
-  	subgraph weather_graph
-  	weather_graph_model_node --> weather_graph_weather_node;
-  	end
-  	classDef default fill:#f2f0ff,line-height:1.2
-  	classDef first fill-opacity:0
-  	classDef last fill:#bfb6fc
-  
-  '''
-# ---
 # name: test_weather_subgraph[memory]
   '''
   %%{init: {'flowchart': {'curve': 'linear'}}}%%
diff --git a/libs/langgraph/tests/conftest.py b/libs/langgraph/tests/conftest.py
index a7909eb15..510eddf62 100644
--- a/libs/langgraph/tests/conftest.py
+++ b/libs/langgraph/tests/conftest.py
@@ -11,8 +11,6 @@
 from pytest_mock import MockerFixture
 
 from langgraph.checkpoint.base import BaseCheckpointSaver
-from langgraph.checkpoint.duckdb import DuckDBSaver
-from langgraph.checkpoint.duckdb.aio import AsyncDuckDBSaver
 from langgraph.checkpoint.postgres import PostgresSaver, ShallowPostgresSaver
 from langgraph.checkpoint.postgres.aio import (
     AsyncPostgresSaver,
@@ -21,7 +19,6 @@
 from langgraph.checkpoint.sqlite import SqliteSaver
 from langgraph.checkpoint.sqlite.aio import AsyncSqliteSaver
 from langgraph.store.base import BaseStore
-from langgraph.store.duckdb import AsyncDuckDBStore, DuckDBStore
 from langgraph.store.memory import InMemoryStore
 from langgraph.store.postgres import AsyncPostgresStore, PostgresStore
 
@@ -70,20 +67,6 @@ async def _checkpointer_sqlite_aio():
         yield checkpointer
 
 
-@pytest.fixture(scope="function")
-def checkpointer_duckdb():
-    with DuckDBSaver.from_conn_string(":memory:") as checkpointer:
-        checkpointer.setup()
-        yield checkpointer
-
-
-@asynccontextmanager
-async def _checkpointer_duckdb_aio():
-    async with AsyncDuckDBSaver.from_conn_string(":memory:") as checkpointer:
-        await checkpointer.setup()
-        yield checkpointer
-
-
 @pytest.fixture(scope="function")
 def checkpointer_postgres():
     database = f"test_{uuid4().hex[:16]}"
@@ -281,9 +264,6 @@ async def awith_checkpointer(
     elif checkpointer_name == "sqlite_aio":
         async with _checkpointer_sqlite_aio() as checkpointer:
             yield checkpointer
-    elif checkpointer_name == "duckdb_aio":
-        async with _checkpointer_duckdb_aio() as checkpointer:
-            yield checkpointer
     elif checkpointer_name == "postgres_aio":
         async with _checkpointer_postgres_aio() as checkpointer:
             yield checkpointer
@@ -370,13 +350,6 @@ async def _store_postgres_aio_pool():
             await conn.execute(f"DROP DATABASE {database}")
 
 
-@asynccontextmanager
-async def _store_duckdb_aio():
-    async with AsyncDuckDBStore.from_conn_string(":memory:") as store:
-        await store.setup()
-        yield store
-
-
 @pytest.fixture(scope="function")
 def store_postgres():
     database = f"test_{uuid4().hex[:16]}"
@@ -433,13 +406,6 @@ def store_postgres_pool():
             conn.execute(f"DROP DATABASE {database}")
 
 
-@pytest.fixture(scope="function")
-def store_duckdb():
-    with DuckDBStore.from_conn_string(":memory:") as store:
-        store.setup()
-        yield store
-
-
 @pytest.fixture(scope="function")
 def store_in_memory():
     yield InMemoryStore()
@@ -460,9 +426,6 @@ async def awith_store(store_name: Optional[str]) -> AsyncIterator[BaseStore]:
     elif store_name == "postgres_aio_pool":
         async with _store_postgres_aio_pool() as store:
             yield store
-    elif store_name == "duckdb_aio":
-        async with _store_duckdb_aio() as store:
-            yield store
     else:
         raise NotImplementedError(f"Unknown store {store_name}")
 
@@ -500,12 +463,10 @@ async def awith_store(store_name: Optional[str]) -> AsyncIterator[BaseStore]:
     "postgres",
     "postgres_pipe",
     "postgres_pool",
-    "duckdb",
 ]
 ALL_STORES_ASYNC = [
     "in_memory",
     "postgres_aio",
     "postgres_aio_pipe",
     "postgres_aio_pool",
-    "duckdb_aio",
 ]
diff --git a/libs/langgraph/tests/test_pregel.py b/libs/langgraph/tests/test_pregel.py
index a9b617b52..12b7c6863 100644
--- a/libs/langgraph/tests/test_pregel.py
+++ b/libs/langgraph/tests/test_pregel.py
@@ -4159,12 +4159,6 @@ def __call__(self, inputs: State, config: RunnableConfig, store: BaseStore):
     builder.add_edge("__start__", "node")
     N = 500
     M = 1
-    if "duckdb" in store_name:
-        logger.warning(
-            "DuckDB store implementation has a known issue that does not"
-            " support concurrent writes, so we're reducing the test scope"
-        )
-        N = M = 1
 
     for i in range(N):
         builder.add_node(f"node_{i}", Node(i))
@@ -5266,3 +5260,60 @@ def node_b(state):
         {"node_a": [{"foo": "a1"}, {"foo": "a2"}]},
         {"node_b": {"foo": "b"}},
     ]
+
+
+def test_falsy_return_from_task() -> None:
+    """Test with a falsy return from a task."""
+    checkpointer = MemorySaver()
+
+    @task
+    def falsy_task() -> bool:
+        return False
+
+    @entrypoint(checkpointer=checkpointer)
+    def graph(state: dict) -> dict:
+        """React tool."""
+        falsy_task().result()
+        interrupt("test")
+
+    configurable = {"configurable": {"thread_id": uuid.uuid4()}}
+    graph.invoke({"a": 5}, configurable)
+    graph.invoke(Command(resume="123"), configurable)
+
+
+def test_multiple_interrupts_imperative() -> None:
+    """Test multiple interrupts with an imperative API."""
+    from langgraph.checkpoint.memory import MemorySaver
+    from langgraph.func import entrypoint, task
+
+    checkpointer = MemorySaver()
+    counter = 0
+
+    @task
+    def double(x: int) -> int:
+        """Increment the counter."""
+        nonlocal counter
+        counter += 1
+        return 2 * x
+
+    @entrypoint(checkpointer=checkpointer)
+    def graph(state: dict) -> dict:
+        """React tool."""
+
+        values = []
+
+        for idx in [1, 2, 3]:
+            values.extend([double(idx).result(), interrupt({"a": "boo"})])
+
+        return {"values": values}
+
+    configurable = {"configurable": {"thread_id": uuid.uuid4()}}
+    graph.invoke({}, configurable)
+    graph.invoke(Command(resume="a"), configurable)
+    graph.invoke(Command(resume="b"), configurable)
+    result = graph.invoke(Command(resume="c"), configurable)
+    # `double` value should be cached appropriately when used w/ `interrupt`
+    assert result == {
+        "values": [2, "a", 4, "b", 6, "c"],
+    }
+    assert counter == 3
diff --git a/libs/langgraph/tests/test_pregel_async.py b/libs/langgraph/tests/test_pregel_async.py
index 26352e545..427ee4041 100644
--- a/libs/langgraph/tests/test_pregel_async.py
+++ b/libs/langgraph/tests/test_pregel_async.py
@@ -5750,12 +5750,6 @@ def other_node(inputs: State, config: RunnableConfig, store: BaseStore):
 
     N = 500
     M = 1
-    if "duckdb" in store_name:
-        logger.warning(
-            "DuckDB store implementation has a known issue that does not"
-            " support concurrent writes, so we're reducing the test scope"
-        )
-        N = M = 1
 
     for i in range(N):
         builder.add_node(f"node_{i}", Node(i))
@@ -6699,3 +6693,69 @@ def node_b(state):
         {"node_a": [{"foo": "a1"}, {"foo": "a2"}]},
         {"node_b": {"foo": "b"}},
     ]
+
+
+@pytest.mark.skipif(
+    sys.version_info < (3, 11),
+    reason="Python 3.11+ is required for async contextvars support",
+)
+async def test_falsy_return_from_task() -> None:
+    """Test with a falsy return from a task."""
+    checkpointer = MemorySaver()
+
+    @task
+    async def falsy_task() -> bool:
+        return False
+
+    @entrypoint(checkpointer=checkpointer)
+    async def graph(state: dict) -> dict:
+        """React tool."""
+        await falsy_task()
+        interrupt("test")
+
+    configurable = {"configurable": {"thread_id": uuid.uuid4()}}
+    await graph.ainvoke({"a": 5}, configurable)
+    await graph.ainvoke(Command(resume="123"), configurable)
+
+
+@pytest.mark.skipif(
+    sys.version_info < (3, 11),
+    reason="Python 3.11+ is required for async contextvars support",
+)
+@pytest.mark.parametrize("checkpointer_name", ALL_CHECKPOINTERS_ASYNC)
+async def test_multiple_interrupts_imperative(checkpointer_name: str) -> None:
+    """Test multiple interrupts with an imperative API."""
+    from langgraph.func import entrypoint, task
+
+    counter = 0
+
+    @task
+    async def double(x: int) -> int:
+        """Increment the counter."""
+        nonlocal counter
+        counter += 1
+        return 2 * x
+
+    async with awith_checkpointer(checkpointer_name) as checkpointer:
+
+        @entrypoint(checkpointer=checkpointer)
+        async def graph(state: dict) -> dict:
+            """React tool."""
+
+            values = []
+
+            for idx in [1, 2, 3]:
+                values.extend([await double(idx), interrupt({"a": "boo"})])
+
+            return {"values": values}
+
+        configurable = {"configurable": {"thread_id": str(uuid.uuid4())}}
+        await graph.ainvoke({}, configurable)
+        await graph.ainvoke(Command(resume="a"), configurable)
+        await graph.ainvoke(Command(resume="b"), configurable)
+        result = await graph.ainvoke(Command(resume="c"), configurable)
+        # `double` value should be cached appropriately when used w/ `interrupt`
+        assert result == {
+            "values": [2, "a", 4, "b", 6, "c"],
+        }
+        assert counter == 3