Add store auth types (#2971 )

Merge branch 'main' into wfh/auth/store
docs: Add docs for POSTGRES_URI_CUSTOM environment variable (#2951 )
2026-08-27 01:52:25 +02:00 · 2025-01-09 08:32:54 -08:00 · 2025-01-09 08:08:04 -08:00 · 2025-01-08 15:27:32 -08:00 · 2025-01-08 17:31:13 -05:00 · 2025-01-08 10:59:40 -05:00
20 changed files with 253 additions and 75 deletions
@@ -8,7 +8,7 @@
 ⚡ Building language agents as graphs ⚡

 > [!NOTE]
-> Looking for the JS version? Click [here](https://github.com/langchain-ai/langgraphjs) ([JS docs](https://langchain-ai.github.io/langgraphjs/)).
+> Looking for the JS version? See the [JS repo](https://github.com/langchain-ai/langgraphjs) and the [JS docs](https://langchain-ai.github.io/langgraphjs/).

 ## Overview

@@ -0,0 +1,93 @@
+import functools
+
+from urllib3 import __version__ as urllib3version  # type: ignore[import-untyped]
+from urllib3 import connection  # type: ignore[import-untyped]
+
+
+def _ensure_str(s, encoding="utf-8", errors="strict") -> str:
+    if isinstance(s, str):
+        return s
+
+    if isinstance(s, bytes):
+        return s.decode(encoding, errors)
+    return str(s)
+
+
+# Copied from https://github.com/urllib3/urllib3/blob/1c994dfc8c5d5ecaee8ed3eb585d4785f5febf6e/src/urllib3/connection.py#L231
+def request(self, method, url, body=None, headers=None):
+    """Make the request.
+
+    This function is based on the urllib3 request method, with modifications
+    to handle potential issues when using vcrpy in concurrent workloads.
+
+    Args:
+        self: The HTTPConnection instance.
+        method (str): The HTTP method (e.g., 'GET', 'POST').
+        url (str): The URL for the request.
+        body (Optional[Any]): The body of the request.
+        headers (Optional[dict]): Headers to send with the request.
+
+    Returns:
+        The result of calling the parent request method.
+    """
+    # Update the inner socket's timeout value to send the request.
+    # This only triggers if the connection is re-used.
+    if getattr(self, "sock", None) is not None:
+        self.sock.settimeout(self.timeout)
+
+    if headers is None:
+        headers = {}
+    else:
+        # Avoid modifying the headers passed into .request()
+        headers = headers.copy()
+    if "user-agent" not in (_ensure_str(k.lower()) for k in headers):
+        headers["User-Agent"] = connection._get_default_user_agent()
+    # The above is all the same ^^^
+    # The following is different:
+    return self._parent_request(method, url, body=body, headers=headers)
+
+
+_PATCHED = False
+
+
+def patch_urllib3():
+    """Patch the request method of urllib3 to avoid type errors when using vcrpy.
+
+    In concurrent workloads (such as the tracing background queue), the
+    connection pool can get in a state where an HTTPConnection is created
+    before vcrpy patches the HTTPConnection class. In urllib3 >= 2.0 this isn't
+    a problem since they use the proper super().request(...) syntax, but in older
+    versions, super(HTTPConnection, self).request is used, resulting in a TypeError
+    since self is no longer a subclass of "HTTPConnection" (which at this point
+    is vcr.stubs.VCRConnection).
+
+    This method patches the class to fix the super() syntax to avoid mixed inheritance.
+    In the case of the LangSmith tracing logic, it doesn't really matter since we always
+    exclude cache checks for calls to LangSmith.
+
+    The patch is only applied for urllib3 versions older than 2.0.
+    """
+    global _PATCHED
+    if _PATCHED:
+        return
+    from packaging import version
+
+    if version.parse(urllib3version) >= version.parse("2.0"):
+        _PATCHED = True
+        return
+
+    # Lookup the parent class and its request method
+    parent_class = connection.HTTPConnection.__bases__[0]
+    parent_request = parent_class.request
+
+    def new_request(self, *args, **kwargs):
+        """Handle parent request.
+
+        This method binds the parent's request method to self and then
+        calls our modified request function.
+        """
+        self._parent_request = functools.partial(parent_request, self)
+        return request(self, *args, **kwargs)
+
+    connection.HTTPConnection.request = new_request
+    _PATCHED = True
@@ -43,7 +43,9 @@ NOTEBOOKS_NO_EXECUTION = [
    "docs/docs/tutorials/lats/lats.ipynb",  # issues only when running with VCR
    "docs/docs/tutorials/rag/langgraph_crag.ipynb",  # flakiness from tavily
    "docs/docs/tutorials/rag/langgraph_adaptive_rag.ipynb",  # Cannot create a consistent method resolution error from VCR
-    "docs/docs/how-tos/map-reduce.ipynb"  # flakiness from structured output, only when running with VCR
+    "docs/docs/how-tos/map-reduce.ipynb",  # flakiness from structured output, only when running with VCR
+    "docs/docs/tutorials/tot/tot.ipynb",
+    "docs/docs/how-tos/visualization.ipynb"
 ]


@@ -86,6 +88,7 @@ def add_vcr_to_notebook(
 ) -> nbformat.NotebookNode:
    """Inject `with vcr.cassette` into each code cell of the notebook."""

+    uses_langsmith = False
    # Inject VCR context manager into each code cell
    for idx, cell in enumerate(notebook.cells):
        if cell.cell_type != "code":
@@ -120,6 +123,9 @@ def add_vcr_to_notebook(
            f"    {line}" for line in lines
        )

+        if any("hub.pull" in line or "from langsmith import" in line for line in lines):
+            uses_langsmith = True
+
    # Add import statement
    vcr_import_lines = [
        "import nest_asyncio",
@@ -152,6 +158,15 @@ def add_vcr_to_notebook(
        "custom_vcr.register_serializer('advanced_compressed', AdvancedCompressedSerializer())",
        "custom_vcr.serializer = 'advanced_compressed'",
    ]
+    if uses_langsmith:
+        vcr_import_lines.extend(
+            # patch urllib3 to handle vcr errors, see more here:
+            # https://github.com/langchain-ai/langsmith-sdk/blob/main/python/langsmith/_internal/_patch.py
+            "import sys",
+            f"sys.path.insert(0, '{os.path.join(DOCS_PATH, '_scripts')}')",
+            "import _patch as patch_urllib3",
+            "patch_urllib3.patch_urllib3()",
+        )
    import_cell = nbformat.v4.new_code_cell(source="\n".join(vcr_import_lines))
    import_cell.pop("id", None)
    notebook.cells.insert(0, import_cell)
@@ -11,7 +11,7 @@ LangGraph Cloud is available within <a href="https://www.langchain.com/langsmith

 Starting from the <a href="https://smith.langchain.com/" target="_blank">LangSmith UI</a>...

-1. In the left-hand navigation panel, select `LangGraph Cloud`. The `LangGraph Cloud` view contains a list of existing LangGraph Cloud deployments.
+1. In the left-hand navigation panel, select `LangGraph Platform`. The `LangGraph Platform` view contains a list of existing LangGraph Cloud deployments.
 1. In the top-right corner, select `+ New Deployment` to create a new deployment.
 1. In the `Create New Deployment` panel, fill out the required fields.
    1. `Deployment details`
@@ -38,7 +38,7 @@ When [creating a new deployment](#create-new-deployment), a new revision is crea

 Starting from the <a href="https://smith.langchain.com/" target="_blank">LangSmith UI</a>...

-1. In the left-hand navigation panel, select `LangGraph Cloud`. The `LangGraph Cloud` view contains a list of existing LangGraph Cloud deployments.
+1. In the left-hand navigation panel, select `LangGraph Platform`. The `LangGraph Platform` view contains a list of existing LangGraph Cloud deployments.
 1. Select an existing deployment to create a new revision for.
 1. In the `Deployment` view, in the top-right corner, select `+ New Revision`.
 1. In the `New Revision` modal, fill out the required fields.
@@ -52,15 +52,15 @@ Starting from the <a href="https://smith.langchain.com/" target="_blank">LangSmi
        1. Update the value of existing secrets or environment variables.
 1. Select `Submit`. After a few seconds, the `New Revision` modal will close and the new revision will be queued for deployment.

-## View Build and Deployment Logs
+## View Build and Server Logs

-Build and deployment logs are available for each revision.
+Build and server logs are available for each revision.

-Starting from the `LangGraph Cloud` view...
+Starting from the `LangGraph Platform` view...

 1. Select the desired revision from the `Revisions` table. A panel slides open from the right-hand side and the `Build` tab is selected by default, which displays build logs for the revision.
-1. In the panel, select the `Deploy` tab to view deployment logs for the revision.
-1. Within the `Deploy` tab, adjust the date/time range picker as needed. By default, the date/time range picker is set to the `Last 15 minutes`.
+1. In the panel, select the `Server` tab to view server logs for the revision. Server logs are only available after a revision has been deployed.
+1. Within the `Server` tab, adjust the date/time range picker as needed. By default, the date/time range picker is set to the `Last 7 days`.

 ## Interrupt Revision

@@ -69,7 +69,7 @@ Interrupting a revision will stop deployment of the revision.
 !!! warning "Undefined Behavior"
    Interrupted revisions have undefined behavior. This is only useful if you need to deploy a new revision and you already have a revision "stuck" in progress. In the future, this feature may be removed.

-Starting from the `LangGraph Cloud` view...
+Starting from the `LangGraph Platform` view...

 1. Select the menu icon (three dots) on the right-hand side of the row for the desired revision from the `Revisions` table.
 1. Select `Interrupt` from the menu.
@@ -79,13 +79,13 @@ Starting from the `LangGraph Cloud` view...

 Starting from the <a href="https://smith.langchain.com/" target="_blank">LangSmith UI</a>...

-1. In the left-hand navigation panel, select `LangGraph Cloud`. The `LangGraph Cloud` view contains a list of existing LangGraph Cloud deployments.
+1. In the left-hand navigation panel, select `LangGraph Platform`. The `LangGraph Platform` view contains a list of existing LangGraph Cloud deployments.
 1. Select the menu icon (three dots) on the right-hand side of the row for the desired deployment and select `Delete`.
 1. A `Confirmation` modal will appear. Select `Delete`.

 ## Deployment Settings

-Starting from the `LangGraph Cloud` view...
+Starting from the `LangGraph Platform` view...

 1. In the top-right corner, select the gear icon (`Deployment Settings`).
 1. Update the `Git Branch` to the desired branch.
@@ -1,6 +1,6 @@
 # Environment Variables

-The LangGraph Cloud API supports specific environment variables for configuring a deployment.
+The LangGraph Cloud Server supports specific environment variables for configuring a deployment.

 ## `LANGCHAIN_TRACING_SAMPLING_RATE`

@@ -10,10 +10,34 @@ See <a href="https://docs.smith.langchain.com/how_to_guides/tracing/sample_trace

 ## `LANGGRAPH_AUTH_TYPE`

-Type of authentication for the LangGraph Cloud API deployment. Valid values: `langsmith`, `noop`.
+Type of authentication for the LangGraph Cloud Server deployment. Valid values: `langsmith`, `noop`.

 For deployments to LangGraph Cloud, this environment variable is set automatically. For local development or deployments where authentication is handled externally (e.g. self-hosted), set this environment variable to `noop`.

 ## `N_JOBS_PER_WORKER`

 Number of jobs per worker for the LangGraph Cloud task queue. Defaults to `10`.
+
+## `POSTGRES_URI_CUSTOM`
+
+For [Bring Your Own Cloud (BYOC)](../../concepts/bring_your_own_cloud.md) deployments only.
+
+Specify `POSTGRES_URI_CUSTOM` to use an externally managed Postgres instance. The value of `POSTGRES_URI_CUSTOM` must be a valid [Postgres connection URI](https://www.postgresql.org/docs/current/libpq-connect.html#LIBPQ-CONNSTRING-URIS).
+
+Postgres:
+
+- Version 15.8 or higher.
+- An initial database must be present and the connection URI must reference the database.
+
+Control Plane Functionality:
+
+- If `POSTGRES_URI_CUSTOM` is specified, the LangGraph Control Plane will not provision a database for the server.
+- If `POSTGRES_URI_CUSTOM` is removed, the LangGraph Control Plane will not provision a database for the server and will not delete the externally managed Postgres instance.
+- If `POSTGRES_URI_CUSTOM` is removed, deployment of the revision will not succeed. Once `POSTGRES_URI_CUSTOM` is specified, it must always be set for the lifecycle of the deployment.
+- If the deployment is deleted, the LangGraph Control Plane will not delete the externally managed Postgres instance.
+- The value of `POSTGRES_URI_CUSTOM` can be updated. For example, a password in the URI can be updated.
+
+Database Connectivity:
+
+- The externally managed Postgres instance must be accessible by the LangGraph Server service in the ECS cluster. The BYOC user is responsible for ensuring connectivity.
+- For example, if an AWS RDS Postgres instance is provisioned, it can be provisioned in the same VPC (`langgraph-cloud-vpc`) as the ECS cluster with the `langgraph-cloud-service-sg` security group to ensure connectivity.
@@ -39,6 +39,7 @@ LangChain has no direct access to the resources created in your cloud account, a
            - Read CloudWatch metrics/logs to monitor your instances/push deployment logs
        - https://docs.aws.amazon.com/aws-managed-policy/latest/reference/AmazonRDSFullAccess.html
            - Provision `RDS` instances for your LangGraph Cloud instances
+            - Alternatively, an externally managed Postgres instance can be used instead of the default `RDS` instance. LangChain does not monitor or manage the externally managed Postgres instance. See details for [`POSTGRES_URI_CUSTOM` environment variable](../cloud/reference/env_var.md#postgres_uri_custom).
    2. Either
        - Tags an existing vpc / subnets as `langgraph-cloud-enabled`
        - Creates a new vpc and subnets and tags them as `langgraph-cloud-enabled`
@@ -444,7 +444,7 @@
    "\n",
    "    # Check the signed-in user actually has this ticket\n",
    "    cursor.execute(\n",
-    "        \"SELECT flight_id FROM tickets WHERE ticket_no = ? AND passenger_id = ?\",\n",
+    "        \"SELECT ticket_no FROM tickets WHERE ticket_no = ? AND passenger_id = ?\",\n",
    "        (ticket_no, passenger_id),\n",
    "    )\n",
    "    current_ticket = cursor.fetchone()\n",
@@ -4444,7 +4444,7 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.12.3"
  }
 },
 "nbformat": 4,
@@ -1659,7 +1659,7 @@
   "id": "584de971-6b10-4931-986e-cc35f7adbb3d",
   "metadata": {},
   "source": [
-    "Now the graph is complete, since we've provided the final response message! Since state updates simulate a graph step, they even generate corresponding traces. Inspec the [LangSmith trace](https://smith.langchain.com/public/6d72aeb5-3bca-4090-8684-a11d5a36b10c/r) of the `update_state` call above to see what's going on.\n",
+    "Now the graph is complete, since we've provided the final response message! Since state updates simulate a graph step, they even generate corresponding traces. Inspect the [LangSmith trace](https://smith.langchain.com/public/6d72aeb5-3bca-4090-8684-a11d5a36b10c/r) of the `update_state` call above to see what's going on.\n",
    "\n",
    "**Notice** that our new messages are _appended_ to the messages already in the state. Remember how we defined the `State` type?\n",
    "\n",
@@ -135,7 +135,7 @@
    "from typing_extensions import TypedDict\n",
    "\n",
    "from langchain_anthropic import ChatAnthropic\n",
-    "from langgraph.graph import MessagesState\n",
+    "from langgraph.graph import MessagesState, END\n",
    "from langgraph.types import Command\n",
    "\n",
    "\n",
@@ -26,7 +26,7 @@
   "outputs": [],
   "source": [
    "%%capture --no-stderr\n",
-    "%pip install -U --quiet langchain-community tiktoken langchain-openai langchainhub chromadb langchain langgraph langchain-text-splitters"
+    "%pip install -U --quiet langchain-community tiktoken langchain-openai langchainhub chromadb langchain langgraph langchain-text-splitters beautifulsoup4"
   ]
  },
  {
@@ -8,7 +8,7 @@
 ⚡ Building language agents as graphs ⚡

 > [!NOTE]
-> Looking for the JS version? Click [here](https://github.com/langchain-ai/langgraphjs) ([JS docs](https://langchain-ai.github.io/langgraphjs/)).
+> Looking for the JS version? See the [JS repo](https://github.com/langchain-ai/langgraphjs) and the [JS docs](https://langchain-ai.github.io/langgraphjs/).

 ## Overview

@@ -398,9 +398,11 @@ class StateGraph(Graph):
        return self

    def add_edge(self, start_key: Union[str, list[str]], end_key: str) -> Self:
-        """Adds a directed edge from the start node to the end node.
+        """Adds a directed edge from the start node (or list of start nodes) to the end node.

-        If the graph transitions to the start_key node, it will always transition to the end_key node next.
+        When a single start node is provided, the graph will wait for that node to complete
+        before executing the end node. When multiple start nodes are provided,
+        the graph will wait for ALL of the start nodes to complete before executing the end node.

        Args:
            start_key (Union[str, list[str]]): The key(s) of the start node(s) of the edge.
@@ -554,6 +554,10 @@ def create_react_agent(
    )
    model_runnable = preprocessor | model

+    # If any of the tools are configured to return_directly after running,
+    # our graph needs to check if these were called
+    should_return_direct = {t.name for t in tool_classes if t.return_direct}
+
    # Define the function that calls the model
    def call_model(state: AgentState, config: RunnableConfig) -> AgentState:
        _validate_chat_history(state["messages"])
@@ -673,10 +677,6 @@ def create_react_agent(
        should_continue,
    )

-    # If any of the tools are configured to return_directly after running,
-    # our graph needs to check if these were called
-    should_return_direct = {t.name for t in tool_classes if t.return_direct}
-
    def route_tool_responses(state: AgentState) -> Literal["agent", "__end__"]:
        for m in reversed(state["messages"]):
            if not isinstance(m, ToolMessage):
@@ -965,13 +965,13 @@ testing = ["Django", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]

 [[package]]
 name = "jinja2"
-version = "3.1.4"
+version = "3.1.5"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "jinja2-3.1.4-py3-none-any.whl", hash = "sha256:bc5dd2abb727a5319567b7a813e6a2e7318c39f4f487cfe6c89c6f9c7d25197d"},
-    {file = "jinja2-3.1.4.tar.gz", hash = "sha256:4a3aee7acbbe7303aede8e9648d13b8bf88a429282aa6122a993f0ac800cb369"},
+    {file = "jinja2-3.1.5-py3-none-any.whl", hash = "sha256:aba0f4dc9ed8013c424088f68a5c226f7d6097ed89b246d7749c2ec4175c6adb"},
+    {file = "jinja2-3.1.5.tar.gz", hash = "sha256:8fefff8dc3034e27bb80d67c671eb8a9bc424c0ef4c0826edbff304cceff43bb"},
 ]

 [package.dependencies]
@@ -1,4 +1,5 @@
 import dataclasses
+import inspect
 import json
 from functools import partial
 from typing import (
@@ -2040,3 +2041,9 @@ def test__get_state_args() -> None:
        return 0.0

    assert _get_state_args(foo) == {"a": None, "b": "bar"}
+
+
+def test_inspect_react() -> None:
+    model = FakeToolCallingModel(tool_calls=[])
+    agent = create_react_agent(model, [])
+    inspect.getclosurevars(agent.nodes["agent"].bound.func)
@@ -1,6 +1,6 @@
 {
  "name": "@langchain/langgraph-sdk",
-  "version": "0.0.33",
+  "version": "0.0.34",
  "description": "Client library for interacting with the LangGraph API",
  "type": "module",
  "packageManager": "yarn@1.22.19",
@@ -817,6 +817,8 @@ export class RunsClient extends BaseClient {
      command: payload?.command,
      config: payload?.config,
      metadata: payload?.metadata,
+      stream_mode: payload?.streamMode,
+      stream_subgraphs: payload?.streamSubgraphs,
      assistant_id: assistantId,
      interrupt_before: payload?.interruptBefore,
      interrupt_after: payload?.interruptAfter,
@@ -1,5 +1,15 @@
 import { Checkpoint, Config, Metadata } from "./schema.js";

+/**
+ * Stream modes
+ * - "values": Stream only the state values.
+ * - "messages": Stream complete messages.
+ * - "messages-tuple": Stream (message chunk, metadata) tuples.
+ * - "updates": Stream updates to the state.
+ * - "events": Stream events occurring during execution.
+ * - "debug": Stream detailed debug information.
+ * - "custom": Stream custom events.
+ */
 export type StreamMode =
  | "values"
  | "messages"
@@ -140,13 +150,7 @@ interface RunsInvokePayload {

 export interface RunsStreamPayload extends RunsInvokePayload {
  /**
-   * One of `"values"`, `"messages"`, `"updates"` or `"events"`.
-   * - `"values"`: Stream the thread state any time it changes.
-   * - `"messages"`: Stream chat messages from thread state and calls to chat models,
-   *                 token-by-token where possible.
-   * - `"updates"`: Stream the state updates returned by each node.
-   * - `"events"`: Stream all events produced by the run. You can also access these
-   *               afterwards using the `client.runs.listEvents()` method.
+   * One of `"values"`, `"messages"`, `"messages-tuple"`, `"updates"`, `"events"`, `"debug"`, `"custom"`.
   */
  streamMode?: StreamMode | Array<StreamMode>;

@@ -162,7 +166,17 @@ export interface RunsStreamPayload extends RunsInvokePayload {
  feedbackKeys?: string[];
 }

-export interface RunsCreatePayload extends RunsInvokePayload {}
+export interface RunsCreatePayload extends RunsInvokePayload {
+  /**
+   * One of `"values"`, `"messages"`, `"messages-tuple"`, `"updates"`, `"events"`, `"debug"`, `"custom"`.
+   */
+  streamMode?: StreamMode | Array<StreamMode>;
+
+  /**
+   * Stream output from subgraphs. By default, streams only the top graph.
+   */
+  streamSubgraphs?: boolean;
+}

 export interface CronsCreatePayload extends RunsCreatePayload {
  /**
@@ -2251,13 +2251,13 @@ testing = ["Django", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]

 [[package]]
 name = "jinja2"
-version = "3.1.4"
+version = "3.1.5"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "jinja2-3.1.4-py3-none-any.whl", hash = "sha256:bc5dd2abb727a5319567b7a813e6a2e7318c39f4f487cfe6c89c6f9c7d25197d"},
-    {file = "jinja2-3.1.4.tar.gz", hash = "sha256:4a3aee7acbbe7303aede8e9648d13b8bf88a429282aa6122a993f0ac800cb369"},
+    {file = "jinja2-3.1.5-py3-none-any.whl", hash = "sha256:aba0f4dc9ed8013c424088f68a5c226f7d6097ed89b246d7749c2ec4175c6adb"},
+    {file = "jinja2-3.1.5.tar.gz", hash = "sha256:8fefff8dc3034e27bb80d67c671eb8a9bc424c0ef4c0826edbff304cceff43bb"},
 ]

 [package.dependencies]
@@ -2862,21 +2862,21 @@ adal = ["adal (>=1.0.2)"]

 [[package]]
 name = "langchain"
-version = "0.3.9"
+version = "0.3.14"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "langchain-0.3.9-py3-none-any.whl", hash = "sha256:ade5a1fee2f94f2e976a6c387f97d62cc7f0b9f26cfe0132a41d2bda761e1045"},
-    {file = "langchain-0.3.9.tar.gz", hash = "sha256:4950c4ad627d0aa95ce6bda7de453e22059b7e7836b562a8f781fb0b05d7294c"},
+    {file = "langchain-0.3.14-py3-none-any.whl", hash = "sha256:5df9031702f7fe6c956e84256b4639a46d5d03a75be1ca4c1bc9479b358061a2"},
+    {file = "langchain-0.3.14.tar.gz", hash = "sha256:4a5ae817b5832fa0e1fcadc5353fbf74bebd2f8e550294d4dc039f651ddcd3d1"},
 ]

 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
 async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
-langchain-core = ">=0.3.21,<0.4.0"
-langchain-text-splitters = ">=0.3.0,<0.4.0"
-langsmith = ">=0.1.17,<0.2.0"
+langchain-core = ">=0.3.29,<0.4.0"
+langchain-text-splitters = ">=0.3.3,<0.4.0"
+langsmith = ">=0.1.17,<0.3"
 numpy = [
    {version = ">=1.22.4,<2", markers = "python_version < \"3.12\""},
    {version = ">=1.26.2,<3", markers = "python_version >= \"3.12\""},
@@ -2906,45 +2906,46 @@ pydantic = ">=2.7.4,<3.0.0"

 [[package]]
 name = "langchain-community"
-version = "0.3.1"
+version = "0.3.14"
 description = "Community contributed LangChain integrations."
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "langchain_community-0.3.1-py3-none-any.whl", hash = "sha256:627eb26c16417764762ac47dd0d3005109f750f40242a88bb8f2958b798bcf90"},
-    {file = "langchain_community-0.3.1.tar.gz", hash = "sha256:c964a70628f266a61647e58f2f0434db633d4287a729f100a81dd8b0654aec93"},
+    {file = "langchain_community-0.3.14-py3-none-any.whl", hash = "sha256:cc02a0abad0551edef3e565dff643386a5b2ee45b933b6d883d4a935b9649f3c"},
+    {file = "langchain_community-0.3.14.tar.gz", hash = "sha256:d8ba0fe2dbb5795bff707684b712baa5ee379227194610af415ccdfdefda0479"},
 ]

 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
 dataclasses-json = ">=0.5.7,<0.7"
-langchain = ">=0.3.1,<0.4.0"
-langchain-core = ">=0.3.6,<0.4.0"
-langsmith = ">=0.1.125,<0.2.0"
+httpx-sse = ">=0.4.0,<0.5.0"
+langchain = ">=0.3.14,<0.4.0"
+langchain-core = ">=0.3.29,<0.4.0"
+langsmith = ">=0.1.125,<0.3"
 numpy = [
-    {version = ">=1,<2", markers = "python_version < \"3.12\""},
-    {version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""},
+    {version = ">=1.22.4,<2", markers = "python_version < \"3.12\""},
+    {version = ">=1.26.2,<3", markers = "python_version >= \"3.12\""},
 ]
 pydantic-settings = ">=2.4.0,<3.0.0"
 PyYAML = ">=5.3"
 requests = ">=2,<3"
 SQLAlchemy = ">=1.4,<3"
-tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
+tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10"

 [[package]]
 name = "langchain-core"
-version = "0.3.23"
+version = "0.3.29"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "langchain_core-0.3.23-py3-none-any.whl", hash = "sha256:550c0b996990830fa6515a71a1192a8a0343367999afc36d4ede14222941e420"},
-    {file = "langchain_core-0.3.23.tar.gz", hash = "sha256:f9e175e3b82063cc3b160c2ca2b155832e1c6f915312e1204828f97d4aabf6e1"},
+    {file = "langchain_core-0.3.29-py3-none-any.whl", hash = "sha256:817db1474871611a81105594a3e4d11704949661008e455a10e38ca9ff601a1a"},
+    {file = "langchain_core-0.3.29.tar.gz", hash = "sha256:773d6aeeb612e7ce3d996c0be403433d8c6a91e77bbb7a7461c13e15cfbe5b06"},
 ]

 [package.dependencies]
 jsonpatch = ">=1.33,<2.0"
-langsmith = ">=0.1.125,<0.2.0"
+langsmith = ">=0.1.125,<0.3"
 packaging = ">=23.2,<25"
 pydantic = [
    {version = ">=2.5.2,<3.0.0", markers = "python_full_version < \"3.12.4\""},
@@ -3021,21 +3022,21 @@ tiktoken = ">=0.7,<1"

 [[package]]
 name = "langchain-text-splitters"
-version = "0.3.0"
+version = "0.3.5"
 description = "LangChain text splitting utilities"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "langchain_text_splitters-0.3.0-py3-none-any.whl", hash = "sha256:e84243e45eaff16e5b776cd9c81b6d07c55c010ebcb1965deb3d1792b7358e83"},
-    {file = "langchain_text_splitters-0.3.0.tar.gz", hash = "sha256:f9fe0b4d244db1d6de211e7343d4abc4aa90295aa22e1f0c89e51f33c55cd7ce"},
+    {file = "langchain_text_splitters-0.3.5-py3-none-any.whl", hash = "sha256:8c9b059827438c5fa8f327b4df857e307828a5ec815163c9b5c9569a3e82c8ee"},
+    {file = "langchain_text_splitters-0.3.5.tar.gz", hash = "sha256:11cb7ca3694e5bdd342bc16d3875b7f7381651d4a53cbb91d34f22412ae16443"},
 ]

 [package.dependencies]
-langchain-core = ">=0.3.0,<0.4.0"
+langchain-core = ">=0.3.29,<0.4.0"

 [[package]]
 name = "langgraph"
-version = "0.2.59"
+version = "0.2.61"
 description = "Building stateful, multi-actor applications with LLMs"
 optional = false
 python-versions = ">=3.9.0,<4.0"
@@ -3053,7 +3054,7 @@ url = "libs/langgraph"

 [[package]]
 name = "langgraph-checkpoint"
-version = "2.0.8"
+version = "2.0.9"
 description = "Library with base interfaces for LangGraph checkpoint savers."
 optional = false
 python-versions = "^3.9.0,<4.0"
@@ -3087,7 +3088,7 @@ pymongo = ">=4.9.0,<4.10.0"

 [[package]]
 name = "langgraph-checkpoint-postgres"
-version = "2.0.8"
+version = "2.0.9"
 description = "Library with a Postgres implementation of LangGraph checkpoint saver."
 optional = false
 python-versions = "^3.9.0,<4.0"
@@ -3123,7 +3124,7 @@ url = "libs/checkpoint-sqlite"

 [[package]]
 name = "langgraph-sdk"
-version = "0.1.43"
+version = "0.1.49"
 description = "SDK for interacting with LangGraph API"
 optional = false
 python-versions = "^3.9.0,<4.0"
@@ -3140,23 +3141,28 @@ url = "libs/sdk-py"

 [[package]]
 name = "langsmith"
-version = "0.1.129"
+version = "0.2.10"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
-python-versions = "<4.0,>=3.8.1"
+python-versions = "<4.0,>=3.9"
 files = [
-    {file = "langsmith-0.1.129-py3-none-any.whl", hash = "sha256:31393fbbb17d6be5b99b9b22d530450094fab23c6c37281a6a6efb2143d05347"},
-    {file = "langsmith-0.1.129.tar.gz", hash = "sha256:6c3ba66471bef41b9f87da247cc0b493268b3f54656f73648a256a205261b6a0"},
+    {file = "langsmith-0.2.10-py3-none-any.whl", hash = "sha256:b02f2f174189ff72e54c88b1aa63343defd6f0f676c396a690c63a4b6495dcc2"},
+    {file = "langsmith-0.2.10.tar.gz", hash = "sha256:153c7b3ccbd823528ff5bec84801e7e50a164e388919fc583252df5b27dd7830"},
 ]

 [package.dependencies]
 httpx = ">=0.23.0,<1"
-orjson = ">=3.9.14,<4.0.0"
+orjson = {version = ">=3.9.14,<4.0.0", markers = "platform_python_implementation != \"PyPy\""}
 pydantic = [
    {version = ">=1,<3", markers = "python_full_version < \"3.12.4\""},
    {version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
 ]
 requests = ">=2,<3"
+requests-toolbelt = ">=1.0.0,<2.0.0"
+
+[package.extras]
+compression = ["zstandard (>=0.23.0,<0.24.0)"]
+langsmith-pyo3 = ["langsmith-pyo3 (>=0.1.0rc2,<0.2.0)"]

 [[package]]
 name = "loguru"
@@ -5965,6 +5971,20 @@ requests = ">=2.0.0"
 [package.extras]
 rsa = ["oauthlib[signedtoken] (>=3.0.0)"]

+[[package]]
+name = "requests-toolbelt"
+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.*"
+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"},
+]
+
+[package.dependencies]
+requests = ">=2.0.1,<3.0.0"
+
 [[package]]
 name = "rfc3339-validator"
 version = "0.1.4"
@@ -7485,4 +7505,4 @@ type = ["pytest-mypy"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "367f5fb480a8fa5d8ab1c0964a1e9450dbb28e6998097e7536966e7a5fe30c90"
+content-hash = "981f40de9c31530b17537a089651f9e51901b945fbc01b43ac33a466c8a7d9eb"
@@ -42,7 +42,7 @@ langchain-fireworks = "^0.2.0"
 langchain-community = "^0.3.0"
 langchain-experimental = "^0.3.2"
 langgraph-checkpoint-mongodb = "^0.1.0"
-langsmith = "^0.1.129"
+langsmith = "^0.2.0"
 chromadb = "^0.5.5"
 gpt4all = "^2.8.2"
 scikit-learn = "^1.5.2"