x

## Issue
The `stream_mode` argument type includes `Sequence`, but it doesn't
correctly support non-list sequences. On the other hand, the
`print_mode` argument works as expected.

### Example
```python
from langgraph.pregel.main import Pregel

pregel = Pregel(nodes={}, channels=None, input_channels=[], output_channels=[], auto_validate=False)
stream_modes, *_ = pregel._defaults(
    config={"recursion_limit": 1},
    stream_mode=("values", "messages"),
    print_mode=("values"),
    output_keys=None,
    interrupt_before=None,
    interrupt_after=None,
    durability=None,
)
print(stream_modes) # Expected `{'values', 'messages'}`, got `{('values', 'messages'), 'values'}`
```

libs/checkpoint-postgres/LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2024 LangChain, Inc.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

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

@@ -97,7 +97,7 @@ class PostgresSaver(BasePostgresSaver):
                 strict=False,
             ):
                 cur.execute(migration)
-                cur.execute(f"INSERT INTO checkpoint_migrations (v) VALUES ({v})")
+                cur.execute("INSERT INTO checkpoint_migrations (v) VALUES (%s)", (v,))
         if self.pipe:
             self.pipe.sync()
 

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

@@ -102,7 +102,9 @@ class AsyncPostgresSaver(BasePostgresSaver):
                 strict=False,
             ):
                 await cur.execute(migration)
-                await cur.execute(f"INSERT INTO checkpoint_migrations (v) VALUES ({v})")
+                await cur.execute(
+                    "INSERT INTO checkpoint_migrations (v) VALUES (%s)", (v,)
+                )
         if self.pipe:
             await self.pipe.sync()
 

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

@@ -252,7 +252,7 @@ class ShallowPostgresSaver(BasePostgresSaver):
                 strict=False,
             ):
                 cur.execute(migration)
-                cur.execute(f"INSERT INTO checkpoint_migrations (v) VALUES ({v})")
+                cur.execute("INSERT INTO checkpoint_migrations (v) VALUES (%s)", (v,))
         if self.pipe:
             self.pipe.sync()
 
@@ -614,7 +614,9 @@ class AsyncShallowPostgresSaver(BasePostgresSaver):
                 strict=False,
             ):
                 await cur.execute(migration)
-                await cur.execute(f"INSERT INTO checkpoint_migrations (v) VALUES ({v})")
+                await cur.execute(
+                    "INSERT INTO checkpoint_migrations (v) VALUES (%s)", (v,)
+                )
         if self.pipe:
             await self.pipe.sync()
 

libs/checkpoint-postgres/pyproject.toml

@@ -19,7 +19,10 @@ dependencies = [
 ]
 
 [project.urls]
-Repository = "https://www.github.com/langchain-ai/langgraph"
+Source = "https://github.com/langchain-ai/langgraph/tree/main/libs/checkpoint-postgres"
+Twitter = "https://x.com/LangChainAI"
+Slack = "https://www.langchain.com/join-community"
+Reddit = "https://www.reddit.com/r/LangChain/"
 
 [dependency-groups]
 test = [

libs/checkpoint-sqlite/LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2024 LangChain, Inc.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

libs/checkpoint-sqlite/pyproject.toml

@@ -18,7 +18,10 @@ dependencies = [
 ]
 
 [project.urls]
-Repository = "https://www.github.com/langchain-ai/langgraph"
+Source = "https://github.com/langchain-ai/langgraph/tree/main/libs/checkpoint-sqlite"
+Twitter = "https://x.com/LangChainAI"
+Slack = "https://www.langchain.com/join-community"
+Reddit = "https://www.reddit.com/r/LangChain/"
 
 [dependency-groups]
 test = [

libs/checkpoint/pyproject.toml

@@ -17,7 +17,10 @@ dependencies = [
 ]
 
 [project.urls]
-Repository = "https://www.github.com/langchain-ai/langgraph"
+Source = "https://github.com/langchain-ai/langgraph/tree/main/libs/checkpoint"
+Twitter = "https://x.com/LangChainAI"
+Slack = "https://www.langchain.com/join-community"
+Reddit = "https://www.reddit.com/r/LangChain/"
 
 [dependency-groups]
 test = [

libs/cli/pyproject.toml

@@ -25,7 +25,10 @@ inmem = [
 ]
 
 [project.urls]
-Repository = "https://www.github.com/langchain-ai/langgraph"
+Source = "https://github.com/langchain-ai/langgraph/tree/main/libs/cli"
+Twitter = "https://x.com/LangChainAI"
+Slack = "https://www.langchain.com/join-community"
+Reddit = "https://www.reddit.com/r/LangChain/"
 
 [project.scripts]
 langgraph = "langgraph_cli.cli:cli"

libs/langgraph/langgraph/graph/message.py

@@ -30,6 +30,7 @@ __all__ = (
     "add_messages",
     "MessagesState",
     "MessageGraph",
+    "REMOVE_ALL_MESSAGES",
 )
 
 Messages = list[MessageLikeRepresentation] | MessageLikeRepresentation

libs/langgraph/langgraph/graph/state.py

@@ -289,7 +289,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
         destinations: dict[str, str] | tuple[str, ...] | None = None,
         **kwargs: Unpack[DeprecatedKwargs],
     ) -> Self:
-        """Add a new node to the state graph, input schema is inferred as the state schema.
+        """Add a new node to the `StateGraph`, input schema is inferred as the state schema.
         Will take the name of the function/runnable as the node name.
         """
         ...
@@ -307,7 +307,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
         destinations: dict[str, str] | tuple[str, ...] | None = None,
         **kwargs: Unpack[DeprecatedKwargs],
     ) -> Self:
-        """Add a new node to the state graph, input schema is specified.
+        """Add a new node to the `StateGraph`, input schema is specified.
         Will take the name of the function/runnable as the node name.
         """
         ...
@@ -326,7 +326,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
         destinations: dict[str, str] | tuple[str, ...] | None = None,
         **kwargs: Unpack[DeprecatedKwargs],
     ) -> Self:
-        """Add a new node to the state graph, input schema is inferred as the state schema."""
+        """Add a new node to the `StateGraph`, input schema is inferred as the state schema."""
         ...
 
     @overload
@@ -343,7 +343,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
         destinations: dict[str, str] | tuple[str, ...] | None = None,
         **kwargs: Unpack[DeprecatedKwargs],
     ) -> Self:
-        """Add a new node to the state graph, input schema is specified."""
+        """Add a new node to the `StateGraph`, input schema is specified."""
         ...
 
     def add_node(
@@ -359,7 +359,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
         destinations: dict[str, str] | tuple[str, ...] | None = None,
         **kwargs: Unpack[DeprecatedKwargs],
     ) -> Self:
-        """Add a new node to the state graph.
+        """Add a new node to the `StateGraph`.
 
         Args:
             node: The function or runnable this node will run.
@@ -416,7 +416,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
             ```
 
         Returns:
-            Self: The instance of the state graph, allowing for method chaining.
+            Self: The instance of the `StateGraph`, allowing for method chaining.
         """
         if (retry := kwargs.get("retry", MISSING)) is not MISSING:
             warnings.warn(
@@ -571,7 +571,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
             ValueError: If the start key is `'END'` or if the start key or end key is not present in the graph.
 
         Returns:
-            Self: The instance of the state graph, allowing for method chaining.
+            Self: The instance of the `StateGraph`, allowing for method chaining.
         """
         if self.compiled:
             logger.warning(
@@ -676,7 +676,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
             ValueError: If the sequence contains duplicate node names.
 
         Returns:
-            Self: The instance of the state graph, allowing for method chaining.
+            Self: The instance of the `StateGraph`, allowing for method chaining.
         """
         if len(nodes) < 1:
             raise ValueError("Sequence requires at least one node.")
@@ -809,7 +809,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
         debug: bool = False,
         name: str | None = None,
     ) -> CompiledStateGraph[StateT, ContextT, InputT, OutputT]:
-        """Compiles the state graph into a `CompiledStateGraph` object.
+        """Compiles the `StateGraph` into a `CompiledStateGraph` object.
 
         The compiled graph implements the `Runnable` interface and can be invoked,
         streamed, batched, and run asynchronously.
@@ -826,7 +826,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
             name: The name to use for the compiled graph.
 
         Returns:
-            CompiledStateGraph: The compiled state graph.
+            CompiledStateGraph: The compiled `StateGraph`.
         """
         # assign default values
         interrupt_before = interrupt_before or []

libs/langgraph/langgraph/pregel/_loop.py

@@ -459,9 +459,6 @@ class PregelLoop:
     def tick(self) -> bool:
         """Execute a single iteration of the Pregel loop.
 
-        Args:
-            input_keys: The key(s) to read input from.
-
         Returns:
             True if more iterations are needed.
         """

libs/langgraph/langgraph/pregel/_retry.py

@@ -9,7 +9,7 @@ from collections.abc import Awaitable, Callable, Sequence
 from dataclasses import replace
 from typing import Any
 
-from langgraph._internal._config import patch_configurable
+from langgraph._internal._config import patch_configurable, recast_checkpoint_ns
 from langgraph._internal._constants import (
     CONF,
     CONFIG_KEY_CHECKPOINT_NS,
@@ -43,16 +43,16 @@ def run_with_retry(
         except ParentCommand as exc:
             ns: str = config[CONF][CONFIG_KEY_CHECKPOINT_NS]
             cmd = exc.args[0]
-            if cmd.graph in (ns, task.name):
+            if cmd.graph in (recast_checkpoint_ns(ns), task.name):
                 # this command is for the current graph, handle it
                 for w in task.writers:
                     w.invoke(cmd, config)
                 break
             elif cmd.graph == Command.PARENT:
                 # this command is for the parent graph, assign it to the parent
-                parts = ns.split(NS_SEP)
-                if parts[-1].isdigit():
-                    parts.pop()
+                # normalize namespace by removing task IDs
+                recast_ns = recast_checkpoint_ns(ns)
+                parts = recast_ns.split(NS_SEP)
                 parent_ns = NS_SEP.join(parts[:-1])
                 exc.args = (replace(cmd, graph=parent_ns),)
             # bubble up
@@ -138,16 +138,16 @@ async def arun_with_retry(
         except ParentCommand as exc:
             ns: str = config[CONF][CONFIG_KEY_CHECKPOINT_NS]
             cmd = exc.args[0]
-            if cmd.graph in (ns, task.name):
+            if cmd.graph in (recast_checkpoint_ns(ns), task.name):
                 # this command is for the current graph, handle it
                 for w in task.writers:
                     w.invoke(cmd, config)
                 break
             elif cmd.graph == Command.PARENT:
                 # this command is for the parent graph, assign it to the parent
-                parts = ns.split(NS_SEP)
-                if parts[-1].isdigit():
-                    parts.pop()
+                # normalize namespace by removing task IDs
+                recast_ns = recast_checkpoint_ns(ns)
+                parts = recast_ns.split(NS_SEP)
                 parent_ns = NS_SEP.join(parts[:-1])
                 exc.args = (replace(cmd, graph=parent_ns),)
             # bubble up

libs/langgraph/langgraph/pregel/main.py

@@ -2354,7 +2354,7 @@ class Pregel(
             validate_keys(output_keys, self.channels)
         interrupt_before = interrupt_before or self.interrupt_before_nodes
         interrupt_after = interrupt_after or self.interrupt_after_nodes
-        if not isinstance(stream_mode, list):
+        if isinstance(stream_mode, str):
             stream_modes = {stream_mode}
         else:
             stream_modes = set(stream_mode)
@@ -2435,7 +2435,7 @@ class Pregel(
                 You can pass a list as the `stream_mode` parameter to stream multiple modes at once.
                 The streamed outputs will be tuples of `(mode, data)`.
 
-                See [LangGraph streaming guide](https://langchain-ai.github.io/langgraph/how-tos/streaming/) for more details.
+                See [LangGraph streaming guide](https://docs.langchain.com/oss/python/langgraph/streaming) for more details.
             print_mode: Accepts the same values as `stream_mode`, but only prints the output to the console, for debugging purposes. Does not affect the output of the graph in any way.
             output_keys: The keys to stream, defaults to all non-context channels.
             interrupt_before: Nodes to interrupt before, defaults to all nodes in the graph.
@@ -2452,7 +2452,7 @@ class Pregel(
                 where `namespace` is a tuple with the path to the node where a subgraph is invoked,
                 e.g. `("parent_node:<task_id>", "child_node:<task_id>")`.
 
-                See [LangGraph streaming guide](https://langchain-ai.github.io/langgraph/how-tos/streaming/) for more details.
+                See [LangGraph streaming guide](https://docs.langchain.com/oss/python/langgraph/streaming) for more details.
 
         Yields:
             The output of each step in the graph. The output shape depends on the `stream_mode`.
@@ -2702,7 +2702,7 @@ class Pregel(
                 You can pass a list as the `stream_mode` parameter to stream multiple modes at once.
                 The streamed outputs will be tuples of `(mode, data)`.
 
-                See [LangGraph streaming guide](https://langchain-ai.github.io/langgraph/how-tos/streaming/) for more details.
+                See [LangGraph streaming guide](https://docs.langchain.com/oss/python/langgraph/streaming) for more details.
             print_mode: Accepts the same values as `stream_mode`, but only prints the output to the console, for debugging purposes. Does not affect the output of the graph in any way.
             output_keys: The keys to stream, defaults to all non-context channels.
             interrupt_before: Nodes to interrupt before, defaults to all nodes in the graph.
@@ -2719,7 +2719,7 @@ class Pregel(
                 where `namespace` is a tuple with the path to the node where a subgraph is invoked,
                 e.g. `("parent_node:<task_id>", "child_node:<task_id>")`.
 
-                See [LangGraph streaming guide](https://langchain-ai.github.io/langgraph/how-tos/streaming/) for more details.
+                See [LangGraph streaming guide](https://docs.langchain.com/oss/python/langgraph/streaming) for more details.
 
         Yields:
             The output of each step in the graph. The output shape depends on the `stream_mode`.

libs/langgraph/langgraph/runtime.py

@@ -111,7 +111,7 @@ class Runtime(Generic[ContextT]):
             stream_writer=other.stream_writer
             if other.stream_writer is not _no_op_stream_writer
             else self.stream_writer,
-            previous=other.previous or self.previous,
+            previous=self.previous if other.previous is None else other.previous,
         )
 
     def override(

libs/langgraph/langgraph/typing.py

@@ -31,13 +31,13 @@ ContextT_contra = TypeVar(
 )
 
 InputT = TypeVar("InputT", bound=StateLike, default=StateT)
-"""Type variable used to represent the input to a state graph.
+"""Type variable used to represent the input to a `StateGraph`.
 
 Defaults to `StateT`.
 """
 
 OutputT = TypeVar("OutputT", bound=StateLike, default=StateT)
-"""Type variable used to represent the output of a state graph.
+"""Type variable used to represent the output of a `StateGraph`.
 
 Defaults to `StateT`.
 """

libs/langgraph/pyproject.toml

@@ -32,8 +32,15 @@ dependencies = [
     "pydantic>=2.7.4",
 ]
 
+
 [project.urls]
-Repository = "https://www.github.com/langchain-ai/langgraph"
+Homepage = "https://docs.langchain.com/oss/python/langgraph/overview"
+Documentation = "https://reference.langchain.com/python/langgraph/"
+Source = "https://github.com/langchain-ai/langgraph/tree/main/libs/langgraph"
+Changelog = "https://github.com/langchain-ai/langgraph/releases"
+Twitter = "https://x.com/LangChainAI"
+Slack = "https://www.langchain.com/join-community"
+Reddit = "https://www.reddit.com/r/LangChain/"
 
 [dependency-groups]
 test = [

libs/langgraph/tests/test_pregel.py

@@ -7911,6 +7911,78 @@ def test_parent_command_goto(
     }
 
 
+@pytest.mark.parametrize("subgraph_persist", [True, False])
+def test_parent_command_goto_deeply_nested(
+    sync_checkpointer: BaseCheckpointSaver, subgraph_persist: bool
+) -> None:
+    """Test Command.PARENT with goto in deeply nested graphs (3+ levels).
+
+    This tests the fix for issue #6409 where Command.PARENT with goto
+    would fail in graphs with 3 or more levels of nesting due to
+    namespace comparison issues.
+    """
+    class State(TypedDict):
+        messages: Annotated[list[str], operator.add]
+
+    # Level 3 (deepest): sub_sub_graph
+    def sub_sub_node(state):
+        """Returns Command.PARENT to jump to grandparent's node."""
+        return Command(
+            graph=Command.PARENT,
+            goto="sub_node_3",
+            update={"messages": ["sub_sub_node"]},
+        )
+
+    sub_sub_builder = StateGraph(State)
+    sub_sub_builder.add_node("sub_sub_node", sub_sub_node)
+    sub_sub_builder.add_edge(START, "sub_sub_node")
+    sub_sub_graph = sub_sub_builder.compile(checkpointer=subgraph_persist)
+
+    # Level 2 (middle): sub_graph
+    def sub_node_1(state):
+        return {"messages": ["sub_node_1"]}
+
+    def sub_node_3(state):
+        """Target node for Command.PARENT goto."""
+        return {"messages": ["sub_node_3"]}
+
+    sub_builder = StateGraph(State)
+    sub_builder.add_node("sub_node_1", sub_node_1)
+    sub_builder.add_node("sub_node_2", sub_sub_graph)
+    sub_builder.add_node("sub_node_3", sub_node_3)
+    sub_builder.add_edge(START, "sub_node_1")
+    sub_builder.add_edge("sub_node_1", "sub_node_2")
+    sub_graph = sub_builder.compile(checkpointer=subgraph_persist)
+
+    # Level 1 (top): main_graph
+    def main_node_1(state):
+        return {"messages": ["main_node_1"]}
+
+    main_builder = StateGraph(State)
+    main_builder.add_node("main_node_1", main_node_1)
+    main_builder.add_node("main_node_2", sub_graph)
+    main_builder.add_edge(START, "main_node_1")
+    main_builder.add_edge("main_node_1", "main_node_2")
+    main_graph = main_builder.compile(sync_checkpointer, name="main")
+
+    config = {"configurable": {"thread_id": 1}}
+
+    result = main_graph.invoke(input={"messages": ["start"]}, config=config)
+
+    # Verify the execution order includes all expected nodes.
+    # Note: When subgraphs have persistent checkpointers, parent state
+    # is passed down, which may cause message duplication at subgraph boundaries.
+    # The key assertion is that:
+    # 1. All expected messages appear in order
+    # 2. sub_node_3 executed (proving Command.PARENT goto worked)
+    expected_messages = ["main_node_1", "sub_node_1", "sub_sub_node", "sub_node_3"]
+    assert all(msg in result["messages"] for msg in expected_messages), (
+        f"Expected all messages {expected_messages} to be in result {result['messages']}"
+    )
+    # Verify sub_node_3 executed last (the Command.PARENT goto target)
+    assert result["messages"][-1] == "sub_node_3"
+
+
 @pytest.mark.parametrize("with_timeout", [True, False])
 def test_timeout_with_parent_command(
     sync_checkpointer: BaseCheckpointSaver, with_timeout: bool

libs/prebuilt/pyproject.toml

@@ -29,7 +29,10 @@ dependencies = [
 ]
 
 [project.urls]
-Repository = "https://www.github.com/langchain-ai/langgraph"
+Source = "https://github.com/langchain-ai/langgraph/tree/main/libs/prebuilt"
+Twitter = "https://x.com/LangChainAI"
+Slack = "https://www.langchain.com/join-community"
+Reddit = "https://www.reddit.com/r/LangChain/"
 
 [dependency-groups]
 test = [

libs/sdk-py/langgraph_sdk/auth/__init__.py

@@ -259,7 +259,7 @@ class Auth:
         """
         if self._authenticate_handler is not None:
             raise ValueError(
-                "Authentication handler already set as {self._authenticate_handler}."
+                f"Authentication handler already set as {self._authenticate_handler}."
             )
         self._authenticate_handler = fn
         return fn

libs/sdk-py/langgraph_sdk/client.py

@@ -1,11 +1,11 @@
 """The LangGraph client implementations connect to the LangGraph API.
 
-This module provides both asynchronous ([get_client(url="http://localhost:2024"))](#get_client) or [LangGraphClient](#LangGraphClient))
-and synchronous ([get_sync_client(url="http://localhost:2024"))](#get_sync_client) or [SyncLanggraphClient](#SyncLanggraphClient))
-clients to interacting with the LangGraph API's core resources such as
-Assistants, Threads, Runs, and Cron jobs, as well as its persistent
-document Store.
-"""  # noqa: E501
+This module provides both asynchronous (`get_client(url="http://localhost:2024")` or
+`LangGraphClient`) and synchronous (`get_sync_client(url="http://localhost:2024")` or
+`SyncLanggraphClient`) clients to interacting with the LangGraph API's core resources
+such as Assistants, Threads, Runs, and Cron jobs, as well as its persistent document
+Store.
+"""
 
 from __future__ import annotations
 

libs/sdk-py/pyproject.toml

@@ -20,7 +20,10 @@ dependencies = [
 path = "langgraph_sdk/__init__.py"
 
 [project.urls]
-Repository = "https://www.github.com/langchain-ai/langgraph"
+Source = "https://github.com/langchain-ai/langgraph/tree/main/libs/sdk-py"
+Twitter = "https://x.com/LangChainAI"
+Slack = "https://www.langchain.com/join-community"
+Reddit = "https://www.reddit.com/r/LangChain/"
 
 [dependency-groups]
 test = [