Merge branch 'main' into wfh/increase_default

h/t to @lexi-k for openening. merged here to check/fix CI

Co-authored-by: lexi-k <69981673+lexi-k@users.noreply.github.com>

.github/scripts/check_sdk_methods.py

@@ -38,7 +38,7 @@ def main():
         tree = ast.parse(file.read())
 
     classes = find_classes(tree)
-  
+
     def is_sync(class_spec: Tuple[str, List[str]]) -> bool:
         return class_spec[0].startswith("Sync")
 

.github/workflows/_integration_test.yml

@@ -32,7 +32,7 @@ jobs:
       run:
         working-directory: libs/cli
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
       - name: Get changed files
         id: changed-files
         uses: Ana06/get-changed-files@v2.3.0

.github/workflows/_lint.yml

@@ -31,7 +31,7 @@ jobs:
           - "3.12"
     name: "lint #${{ matrix.python-version }}"
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
       - name: Get changed files
         id: changed-files
         uses: Ana06/get-changed-files@v2.3.0

.github/workflows/_test.yml

@@ -25,7 +25,7 @@ jobs:
 
     name: "test #${{ matrix.python-version }}"
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
       - name: Set up Python ${{ matrix.python-version }}
         uses: astral-sh/setup-uv@v7
         with:

.github/workflows/_test_langgraph.yml

@@ -23,7 +23,7 @@ jobs:
         working-directory: libs/langgraph
     name: "test #${{ matrix.python-version }}"
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
       - name: Set up Python ${{ matrix.python-version }}
         uses: astral-sh/setup-uv@v7
         with:

.github/workflows/_test_release.yml

@@ -23,7 +23,7 @@ jobs:
       version: ${{ steps.check-version.outputs.version }}
 
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
 
       - name: Set up Python $${ env.PYTHON_VERSION }}
         uses: astral-sh/setup-uv@v7
@@ -74,7 +74,7 @@ jobs:
       id-token: write
 
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
 
       - uses: actions/download-artifact@v6
         with:

.github/workflows/baseline.yml

@@ -17,7 +17,7 @@ jobs:
       run:
         working-directory: libs/langgraph
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
       - run: SHA=$(git rev-parse HEAD) && echo "SHA=$SHA" >> $GITHUB_ENV
       - name: Set up Python 3.11
         uses: astral-sh/setup-uv@v7

.github/workflows/bench.yml

@@ -15,7 +15,7 @@ jobs:
       run:
         working-directory: libs/langgraph
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
       - id: files
         name: Get changed files
         uses: Ana06/get-changed-files@v2.3.0

.github/workflows/ci.yml

@@ -27,7 +27,7 @@ jobs:
       python: ${{ steps.filter.outputs.python }}
       deps: ${{ steps.filter.outputs.deps }}
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
       - uses: dorny/paths-filter@v3
         id: filter
         with:
@@ -100,7 +100,7 @@ jobs:
     name: "Check SDK methods matching"
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
       - name: Set up Python
         uses: actions/setup-python@v6
         with:
@@ -118,7 +118,7 @@ jobs:
         python-version:
           - "3.11"
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
       - name: Set up Python ${{ matrix.python-version }}
         uses: astral-sh/setup-uv@v7
         with:

.github/workflows/codespell.yml

@@ -21,7 +21,7 @@
     
         steps:
           - name: Checkout
-            uses: actions/checkout@v5
+            uses: actions/checkout@v6
     
           - name: Install Dependencies
             run: |

.github/workflows/deploy_docs.yml

@@ -1,72 +0,0 @@
-name: Deploy Docs Redirects
-
-on:
-  push:
-    branches:
-      - main
-  workflow_dispatch:
-
-permissions:
-  contents: read
-  pages: write
-  id-token: write
-
-concurrency:
-  group: "pages"
-  cancel-in-progress: false
-
-defaults:
-  run:
-    working-directory: docs
-
-jobs:
-  deploy:
-    runs-on: ubuntu-latest
-    timeout-minutes: 10 # Job will be cancelled if it runs for more than 10 minutes
-    env:
-      GITHUB_TOKEN: ${{ secrets.MKDOCS_GITHUB_TOKEN }}
-    steps:
-      - uses: actions/checkout@v5
-        with:
-          fetch-depth: 0
-
-      - name: Set up Python
-        uses: astral-sh/setup-uv@v7
-        with:
-          python-version: "3.12"
-          enable-cache: true
-          cache-suffix: "docs"
-
-      - name: Install dependencies
-        run: |
-          yarn
-          uv sync --all-groups
-          # we run this installation only for internal PRs
-          # as GITHUB_TOKEN is not available for PRs from outside contributors
-          if [ -n "${GITHUB_TOKEN}" ]; then
-            uv run pip install "git+https://${GITHUB_TOKEN}@github.com/langchain-ai/mkdocs-material-insiders.git"
-          fi
-
-      - name: Build llms-text
-        run: make llms-text
-
-      - name: Build site (redirects only)
-        run: make build-docs
-        env:
-          OPENAI_API_KEY: sf-proj-1234567890 # fake placeholder, shouldn't actually be used
-          ANTHROPIC_API_KEY: sk-ant-api03-1234567890 # fake placeholder, shouldn't actually be used
-
-      - name: Configure GitHub Pages
-        if: github.ref == 'refs/heads/main'
-        uses: actions/configure-pages@v5
-
-      - name: Upload Pages Artifact
-        if: github.ref == 'refs/heads/main'
-        uses: actions/upload-pages-artifact@v4
-        with:
-          path: ./docs/site/
-
-      - name: Deploy to GitHub Pages
-        if: github.ref == 'refs/heads/main'
-        id: deployment
-        uses: actions/deploy-pages@v4

.github/workflows/link_check.yml

@@ -19,7 +19,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Checkout code
-        uses: actions/checkout@v5
+        uses: actions/checkout@v6
         with:
           fetch-depth: 0
 
@@ -36,7 +36,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Checkout code
-        uses: actions/checkout@v5
+        uses: actions/checkout@v6
         with:
           fetch-depth: 1
 

.github/workflows/release.yml

@@ -25,7 +25,7 @@ jobs:
       tag: ${{ steps.check-version.outputs.tag }}
 
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
 
       - name: Set up Python
         uses: astral-sh/setup-uv@v7
@@ -86,7 +86,7 @@ jobs:
     outputs:
       release-body: ${{ steps.generate-release-body.outputs.release-body }}
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
         with:
           repository: langchain-ai/langgraph
           path: langgraph
@@ -157,7 +157,7 @@ jobs:
       - test-pypi-publish
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
 
       # We explicitly *don't* set up caching here. This ensures our tests are
       # maximally sensitive to catching breakage.
@@ -260,7 +260,7 @@ jobs:
         working-directory: ${{ inputs.working-directory }}
 
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
 
       - name: Set up Python
         uses: astral-sh/setup-uv@v7
@@ -301,7 +301,7 @@ jobs:
         working-directory: ${{ inputs.working-directory }}
 
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
 
       - name: Set up Python
         uses: astral-sh/setup-uv@v7
@@ -322,5 +322,6 @@ jobs:
           token: ${{ secrets.GITHUB_TOKEN }}
           generateReleaseNotes: false
           tag: ${{needs.build.outputs.tag}}
+          name: ${{ needs.build.outputs.pkg-name }}==${{ needs.build.outputs.version }}
           body: ${{ needs.release-notes.outputs.release-body }}
           commit: ${{ github.sha }}

.github/workflows/run_notebooks.yml

@@ -28,7 +28,7 @@ jobs:
           - "latest"
 
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
       - name: Set up Python + Poetry
         uses: astral-sh/setup-uv@v7
         with:

.github/workflows/uv_lock_ugprade.yml

@@ -16,7 +16,7 @@ jobs:
     runs-on: ubuntu-latest
     
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
       
       - name: Set up uv
         uses: astral-sh/setup-uv@v7

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

@@ -60,23 +60,28 @@ class Checkpoint(TypedDict):
     """State snapshot at a given point in time."""
 
     v: int
-    """The version of the checkpoint format. Currently 1."""
+    """The version of the checkpoint format. Currently `1`."""
     id: str
-    """The ID of the checkpoint. This is both unique and monotonically
-    increasing, so can be used for sorting checkpoints from first to last."""
+    """The ID of the checkpoint.
+    
+    This is both unique and monotonically increasing, so can be used for sorting
+    checkpoints from first to last."""
     ts: str
     """The timestamp of the checkpoint in ISO 8601 format."""
     channel_values: dict[str, Any]
     """The values of the channels at the time of the checkpoint.
+    
     Mapping from channel name to deserialized channel snapshot value.
     """
     channel_versions: ChannelVersions
     """The versions of the channels at the time of the checkpoint.
+    
     The keys are channel names and the values are monotonically increasing
     version strings for each channel.
     """
     versions_seen: dict[str, ChannelVersions]
     """Map from node ID to map from channel name to version seen.
+    
     This keeps track of the versions of the channels that each node has seen.
     Used to determine which nodes to execute next.
     """
@@ -352,8 +357,9 @@ class BaseCheckpointSaver(Generic[V]):
     def get_next_version(self, current: V | None, channel: None) -> V:
         """Generate the next version ID for a channel.
 
-        Default is to use integer versions, incrementing by `1`. If you override, you can use `str`/`int`/`float`
-        versions, as long as they are monotonically increasing.
+        Default is to use integer versions, incrementing by `1`.
+
+        If you override, you can use `str`/`int`/`float` versions, as long as they are monotonically increasing.
 
         Args:
             current: The current version identifier (`int`, `float`, or `str`).

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

@@ -33,7 +33,7 @@ class InMemorySaver(
 ):
     """An in-memory checkpoint saver.
 
-    This checkpoint saver stores checkpoints in memory using a defaultdict.
+    This checkpoint saver stores checkpoints in memory using a `defaultdict`.
 
     Note:
         Only use `InMemorySaver` for debugging or testing purposes.
@@ -44,22 +44,23 @@ class InMemorySaver(
     Args:
         serde: The serializer to use for serializing and deserializing checkpoints.
 
-    Examples:
+    Example:
+        ```python
+        import asyncio
 
-            import asyncio
+        from langgraph.checkpoint.memory import InMemorySaver
+        from langgraph.graph import StateGraph
 
-            from langgraph.checkpoint.memory import InMemorySaver
-            from langgraph.graph import StateGraph
+        builder = StateGraph(int)
+        builder.add_node("add_one", lambda x: x + 1)
+        builder.set_entry_point("add_one")
+        builder.set_finish_point("add_one")
 
-            builder = StateGraph(int)
-            builder.add_node("add_one", lambda x: x + 1)
-            builder.set_entry_point("add_one")
-            builder.set_finish_point("add_one")
-
-            memory = InMemorySaver()
-            graph = builder.compile(checkpointer=memory)
-            coro = graph.ainvoke(1, {"configurable": {"thread_id": "thread-1"}})
-            asyncio.run(coro)  # Output: 2
+        memory = InMemorySaver()
+        graph = builder.compile(checkpointer=memory)
+        coro = graph.ainvoke(1, {"configurable": {"thread_id": "thread-1"}})
+        asyncio.run(coro)  # Output: 2
+        ```
     """
 
     # thread ID ->  checkpoint NS -> checkpoint ID -> checkpoint mapping
@@ -96,7 +97,8 @@ class InMemorySaver(
             self.stack.enter_context(self.blobs)  # type: ignore[arg-type]
 
     def __enter__(self) -> InMemorySaver:
-        return self.stack.__enter__()
+        self.stack.__enter__()
+        return self
 
     def __exit__(
         self,
@@ -107,7 +109,8 @@ class InMemorySaver(
         return self.stack.__exit__(exc_type, exc_value, traceback)
 
     async def __aenter__(self) -> InMemorySaver:
-        return self.stack.__enter__()
+        self.stack.__enter__()
+        return self
 
     async def __aexit__(
         self,

libs/checkpoint/langgraph/checkpoint/serde/base.py

@@ -15,9 +15,7 @@ class UntypedSerializerProtocol(Protocol):
 class SerializerProtocol(Protocol):
     """Protocol for serialization and deserialization of objects.
 
-    - `dumps`: Serialize an object to bytes.
     - `dumps_typed`: Serialize an object to a tuple `(type, bytes)`.
-    - `loads`: Deserialize an object from bytes.
     - `loads_typed`: Deserialize an object from a tuple `(type, bytes)`.
 
     Valid implementations include the `pickle`, `json` and `orjson` modules.
@@ -52,12 +50,13 @@ def maybe_add_typed_methods(
 
 class CipherProtocol(Protocol):
     """Protocol for encryption and decryption of data.
+
     - `encrypt`: Encrypt plaintext.
     - `decrypt`: Decrypt ciphertext.
     """
 
     def encrypt(self, plaintext: bytes) -> tuple[str, bytes]:
-        """Encrypt plaintext. Returns a tuple (cipher name, ciphertext)."""
+        """Encrypt plaintext. Returns a tuple `(cipher name, ciphertext)`."""
         ...
 
     def decrypt(self, ciphername: str, ciphertext: bytes) -> bytes:

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

@@ -41,10 +41,12 @@ logger = logging.getLogger(__name__)
 class JsonPlusSerializer(SerializerProtocol):
     """Serializer that uses ormsgpack, with optional fallbacks.
 
-    Security note: this serializer is intended for use within the BaseCheckpointSaver
-    class and called within the Pregel loop. It should not be used on untrusted
-    python objects. If an attacker can write directly to your checkpoint database,
-    they may be able to trigger code execution when data is deserialized.
+    !!! warning
+
+        Security note: This serializer is intended for use within the `BaseCheckpointSaver`
+        class and called within the Pregel loop. It should not be used on untrusted
+        python objects. If an attacker can write directly to your checkpoint database,
+        they may be able to trigger code execution when data is deserialized.
     """
 
     def __init__(

libs/checkpoint/tests/test_memory.py

@@ -188,7 +188,14 @@ class TestMemorySaver:
         assert len(search_results_4) == 0
 
 
-def test_memory_saver() -> None:
+async def test_memory_saver() -> None:
     from langgraph.checkpoint.memory import InMemorySaver
 
-    assert isinstance(InMemorySaver(), InMemorySaver)
+    memory_saver = InMemorySaver()
+    assert isinstance(memory_saver, InMemorySaver)
+
+    async with memory_saver as async_memory_saver:
+        assert async_memory_saver is memory_saver
+
+    with memory_saver as sync_memory_saver:
+        assert sync_memory_saver is memory_saver

libs/cli/generate_schema.py

@@ -15,6 +15,7 @@ import msgspec
 
 from langgraph_cli.schemas import (
     AuthConfig,
+    CacheConfig,
     CheckpointerConfig,
     Config,
     ConfigurableHeaderConfig,
@@ -111,6 +112,7 @@ def add_descriptions_to_schema(schema, cls):
                 SecurityConfig,
                 HttpConfig,
                 CorsConfig,
+                CacheConfig,
                 ThreadTTLConfig,
                 CheckpointerConfig,
                 SerdeConfig,

libs/cli/langgraph_cli/schemas.py

@@ -233,6 +233,27 @@ class SecurityConfig(TypedDict, total=False):
     """
 
 
+class CacheConfig(TypedDict, total=False):
+    cache_keys: list[str]
+    """Optional. List of header keys to use for caching.
+    
+    Example:
+        ["user_id", "workspace_id"]
+    """
+    ttl_seconds: int
+    """Optional. Time-to-live in seconds for cached items.
+    
+    Example:
+        3600
+    """
+    max_size: int
+    """Optional. Maximum size of the cache.
+    
+    Example:
+        100
+    """
+
+
 class AuthConfig(TypedDict, total=False):
     """Configuration for custom authentication logic and how it integrates into the OpenAPI spec."""
 
@@ -269,6 +290,16 @@ class AuthConfig(TypedDict, total=False):
             ]
         }
     """
+    cache: CacheConfig
+    """Optional. Cache configuration for the server.
+    
+    Example:
+        {
+            "cache_keys": ["user_id", "workspace_id"],
+            "ttl_seconds": 3600,
+            "max_size": 100
+        }
+    """
 
 
 class CorsConfig(TypedDict, total=False):
@@ -367,7 +398,12 @@ class HttpConfig(TypedDict, total=False):
     Default is False.
     """
     disable_mcp: bool
-    """Optional. If `True`, /mcp routes are removed, disabling the MCP server.
+    """Optional. If `True`, /mcp routes are removed, disabling default support to expose the deployment as an MCP server.
+    
+    Default is False.
+    """
+    disable_a2a: bool
+    """Optional. If `True`, /a2a routes are removed, disabling default support to expose the deployment as an agent-to-agent (A2A) server.
     
     Default is False.
     """
@@ -377,6 +413,17 @@ class HttpConfig(TypedDict, total=False):
     Set to True to disable the following endpoints: /openapi.json, /info, /metrics, /docs.
     This will also make the /ok endpoint skip any DB or other checks, always returning {"ok": True}.
     
+    Default is False.
+    """
+    disable_ui: bool
+    """Optional. If `True`, /ui routes are removed, disabling the UI server.
+    
+    Default is False.
+    """
+    disable_webhooks: bool
+    """Optional. If `True`, webhooks are disabled. Runs created with an associated webhook will
+    still be executed, but the webhook event will not be sent.
+    
     Default is False.
     """
     cors: CorsConfig | None
@@ -409,6 +456,12 @@ class HttpConfig(TypedDict, total=False):
     Default is False. This flag only affects authentication behavior
     if `app` is provided and contains custom routes.
     """
+    mount_prefix: str
+    """Optional. URL prefix to prepend to all the routes.
+    
+    Example:
+        "/api"
+    """
 
 
 class Config(TypedDict, total=False):

libs/cli/schemas/schema.json

@@ -405,6 +405,10 @@
       "description": "Configuration for custom authentication logic and how it integrates into the OpenAPI spec.",
       "type": "object",
       "properties": {
+        "cache": {
+          "$ref": "#/$defs/CacheConfig",
+          "description": "Optional. Cache configuration for the server.\n"
+        },
         "disable_studio_auth": {
           "type": "boolean",
           "description": "Optional. Whether to disable LangSmith API-key authentication for requests originating the Studio.\n\nDefaults to False, meaning that if a particular header is set, the server will verify the `x-api-key` header\nvalue is a valid API key for the deployment's workspace. If `True`, all requests will go through your custom\nauthentication logic, regardless of origin of the request.\n"
@@ -420,6 +424,29 @@
       },
       "required": []
     },
+    "CacheConfig": {
+      "title": "CacheConfig",
+      "type": "object",
+      "properties": {
+        "cache_keys": {
+          "type": "array",
+          "items": {
+            "type": "string"
+          },
+          "description": "Optional. List of header keys to use for caching.\n"
+        },
+        "max_size": {
+          "type": "integer",
+          "description": "Optional. Maximum size of the cache.\n"
+        },
+        "ttl_seconds": {
+          "type": "integer",
+          "description": "Optional. Time-to-live in seconds for cached items.\n"
+        }
+      },
+      "required": [],
+      "description": "dict() -> new empty dictionary\ndict(mapping) -> new dictionary initialized from a mapping object's\n    (key, value) pairs\ndict(iterable) -> new dictionary initialized as if via:\n    d = {}\n    for k, v in iterable:\n        d[k] = v\ndict(**kwargs) -> new dictionary initialized with the name=value pairs\n    in the keyword argument list.  For example:  dict(one=1, two=2)"
+    },
     "SecurityConfig": {
       "title": "SecurityConfig",
       "description": "Configuration for OpenAPI security definitions and requirements.\n\nUseful for specifying global or path-level authentication and authorization flows\n(e.g., OAuth2, API key headers, etc.).",
@@ -596,13 +623,17 @@
           ],
           "description": "Optional. Defines CORS restrictions. If omitted, no special rules are set and\ncross-origin behavior depends on default server settings.\n"
         },
+        "disable_a2a": {
+          "type": "boolean",
+          "description": "Optional. If `True`, /a2a routes are removed, disabling default support to expose the deployment as an agent-to-agent (A2A) server.\n\nDefault is False.\n"
+        },
         "disable_assistants": {
           "type": "boolean",
           "description": "Optional. If `True`, /assistants routes are removed from the server.\n\nDefault is False (meaning /assistants is enabled).\n"
         },
         "disable_mcp": {
           "type": "boolean",
-          "description": "Optional. If `True`, /mcp routes are removed, disabling the MCP server.\n\nDefault is False.\n"
+          "description": "Optional. If `True`, /mcp routes are removed, disabling default support to expose the deployment as an MCP server.\n\nDefault is False.\n"
         },
         "disable_meta": {
           "type": "boolean",
@@ -620,6 +651,14 @@
           "type": "boolean",
           "description": "Optional. If `True`, /threads routes are removed.\n\nDefault is False.\n"
         },
+        "disable_ui": {
+          "type": "boolean",
+          "description": "Optional. If `True`, /ui routes are removed, disabling the UI server.\n\nDefault is False.\n"
+        },
+        "disable_webhooks": {
+          "type": "boolean",
+          "description": "Optional. If `True`, webhooks are disabled. Runs created with an associated webhook will\nstill be executed, but the webhook event will not be sent.\n\nDefault is False.\n"
+        },
         "enable_custom_route_auth": {
           "type": "boolean",
           "description": "Optional. If `True`, authentication is enabled for custom routes,\nnot just the routes that are protected by default.\n(Routes protected by default include /assistants, /threads, and /runs).\n\nDefault is False. This flag only affects authentication behavior\nif `app` is provided and contains custom routes.\n"
@@ -648,6 +687,10 @@
             }
           ],
           "description": "Optional. Defines the order in which to apply server customizations.\n"
+        },
+        "mount_prefix": {
+          "type": "string",
+          "description": "Optional. URL prefix to prepend to all the routes.\n"
         }
       },
       "required": []

libs/cli/schemas/schema.v0.json

@@ -405,6 +405,10 @@
       "description": "Configuration for custom authentication logic and how it integrates into the OpenAPI spec.",
       "type": "object",
       "properties": {
+        "cache": {
+          "$ref": "#/$defs/CacheConfig",
+          "description": "Optional. Cache configuration for the server.\n"
+        },
         "disable_studio_auth": {
           "type": "boolean",
           "description": "Optional. Whether to disable LangSmith API-key authentication for requests originating the Studio.\n\nDefaults to False, meaning that if a particular header is set, the server will verify the `x-api-key` header\nvalue is a valid API key for the deployment's workspace. If `True`, all requests will go through your custom\nauthentication logic, regardless of origin of the request.\n"
@@ -420,6 +424,29 @@
       },
       "required": []
     },
+    "CacheConfig": {
+      "title": "CacheConfig",
+      "type": "object",
+      "properties": {
+        "cache_keys": {
+          "type": "array",
+          "items": {
+            "type": "string"
+          },
+          "description": "Optional. List of header keys to use for caching.\n"
+        },
+        "max_size": {
+          "type": "integer",
+          "description": "Optional. Maximum size of the cache.\n"
+        },
+        "ttl_seconds": {
+          "type": "integer",
+          "description": "Optional. Time-to-live in seconds for cached items.\n"
+        }
+      },
+      "required": [],
+      "description": "dict() -> new empty dictionary\ndict(mapping) -> new dictionary initialized from a mapping object's\n    (key, value) pairs\ndict(iterable) -> new dictionary initialized as if via:\n    d = {}\n    for k, v in iterable:\n        d[k] = v\ndict(**kwargs) -> new dictionary initialized with the name=value pairs\n    in the keyword argument list.  For example:  dict(one=1, two=2)"
+    },
     "SecurityConfig": {
       "title": "SecurityConfig",
       "description": "Configuration for OpenAPI security definitions and requirements.\n\nUseful for specifying global or path-level authentication and authorization flows\n(e.g., OAuth2, API key headers, etc.).",
@@ -596,13 +623,17 @@
           ],
           "description": "Optional. Defines CORS restrictions. If omitted, no special rules are set and\ncross-origin behavior depends on default server settings.\n"
         },
+        "disable_a2a": {
+          "type": "boolean",
+          "description": "Optional. If `True`, /a2a routes are removed, disabling default support to expose the deployment as an agent-to-agent (A2A) server.\n\nDefault is False.\n"
+        },
         "disable_assistants": {
           "type": "boolean",
           "description": "Optional. If `True`, /assistants routes are removed from the server.\n\nDefault is False (meaning /assistants is enabled).\n"
         },
         "disable_mcp": {
           "type": "boolean",
-          "description": "Optional. If `True`, /mcp routes are removed, disabling the MCP server.\n\nDefault is False.\n"
+          "description": "Optional. If `True`, /mcp routes are removed, disabling default support to expose the deployment as an MCP server.\n\nDefault is False.\n"
         },
         "disable_meta": {
           "type": "boolean",
@@ -620,6 +651,14 @@
           "type": "boolean",
           "description": "Optional. If `True`, /threads routes are removed.\n\nDefault is False.\n"
         },
+        "disable_ui": {
+          "type": "boolean",
+          "description": "Optional. If `True`, /ui routes are removed, disabling the UI server.\n\nDefault is False.\n"
+        },
+        "disable_webhooks": {
+          "type": "boolean",
+          "description": "Optional. If `True`, webhooks are disabled. Runs created with an associated webhook will\nstill be executed, but the webhook event will not be sent.\n\nDefault is False.\n"
+        },
         "enable_custom_route_auth": {
           "type": "boolean",
           "description": "Optional. If `True`, authentication is enabled for custom routes,\nnot just the routes that are protected by default.\n(Routes protected by default include /assistants, /threads, and /runs).\n\nDefault is False. This flag only affects authentication behavior\nif `app` is provided and contains custom routes.\n"
@@ -648,6 +687,10 @@
             }
           ],
           "description": "Optional. Defines the order in which to apply server customizations.\n"
+        },
+        "mount_prefix": {
+          "type": "string",
+          "description": "Optional. URL prefix to prepend to all the routes.\n"
         }
       },
       "required": []

libs/langgraph/langgraph/_internal/_config.py

@@ -28,7 +28,7 @@ from langgraph._internal._constants import (
     NS_SEP,
 )
 
-DEFAULT_RECURSION_LIMIT = int(getenv("LANGGRAPH_DEFAULT_RECURSION_LIMIT", "25"))
+DEFAULT_RECURSION_LIMIT = int(getenv("LANGGRAPH_DEFAULT_RECURSION_LIMIT", "250"))
 
 
 def recast_checkpoint_ns(ns: str) -> str:

libs/langgraph/langgraph/channels/base.py

@@ -39,14 +39,19 @@ class BaseChannel(Generic[Value, Update, Checkpoint], ABC):
 
     def copy(self) -> Self:
         """Return a copy of the channel.
+
         By default, delegates to `checkpoint()` and `from_checkpoint()`.
-        Subclasses can override this method with a more efficient implementation."""
+
+        Subclasses can override this method with a more efficient implementation.
+        """
         return self.from_checkpoint(self.checkpoint())
 
     def checkpoint(self) -> Checkpoint | Any:
         """Return a serializable representation of the channel's current state.
+
         Raises `EmptyChannelError` if the channel is empty (never updated yet),
-        or doesn't support checkpoints."""
+        or doesn't support checkpoints.
+        """
         try:
             return self.get()
         except EmptyChannelError:
@@ -55,7 +60,9 @@ class BaseChannel(Generic[Value, Update, Checkpoint], ABC):
     @abstractmethod
     def from_checkpoint(self, checkpoint: Checkpoint | Any) -> Self:
         """Return a new identical channel, optionally initialized from a checkpoint.
-        If the checkpoint contains complex data structures, they should be copied."""
+
+        If the checkpoint contains complex data structures, they should be copied.
+        """
 
     # read methods
 
@@ -67,6 +74,7 @@ class BaseChannel(Generic[Value, Update, Checkpoint], ABC):
 
     def is_available(self) -> bool:
         """Return `True` if the channel is available (not empty), `False` otherwise.
+
         Subclasses should override this method to provide a more efficient
         implementation than calling `get()` and catching `EmptyChannelError`.
         """
@@ -83,21 +91,29 @@ class BaseChannel(Generic[Value, Update, Checkpoint], ABC):
         """Update the channel's value with the given sequence of updates.
         The order of the updates in the sequence is arbitrary.
         This method is called by Pregel for all channels at the end of each step.
+
         If there are no updates, it is called with an empty sequence.
+
         Raises `InvalidUpdateError` if the sequence of updates is invalid.
+
         Returns `True` if the channel was updated, `False` otherwise."""
 
     def consume(self) -> bool:
-        """Notify the channel that a subscribed task ran. By default, no-op.
-        A channel can use this method to modify its state, preventing the value
-        from being consumed again.
+        """Notify the channel that a subscribed task ran.
+
+        By default, no-op.
+
+        A channel can use this method to modify its state, preventing the value from being consumed again.
 
         Returns `True` if the channel was updated, `False` otherwise.
         """
         return False
 
     def finish(self) -> bool:
-        """Notify the channel that the Pregel run is finishing. By default, no-op.
+        """Notify the channel that the Pregel run is finishing.
+
+        By default, no-op.
+
         A channel can use this method to modify its state, preventing finish.
 
         Returns `True` if the channel was updated, `False` otherwise.

libs/langgraph/langgraph/config.py

@@ -32,8 +32,8 @@ def get_config() -> RunnableConfig:
 def get_store() -> BaseStore:
     """Access LangGraph store from inside a graph node or entrypoint task at runtime.
 
-    Can be called from inside any [StateGraph][langgraph.graph.StateGraph] node or
-    functional API [task][langgraph.func.task], as long as the StateGraph or the [entrypoint][langgraph.func.entrypoint]
+    Can be called from inside any [`StateGraph`][langgraph.graph.StateGraph] node or
+    functional API [`task`][langgraph.func.task], as long as the `StateGraph` or the [`entrypoint`][langgraph.func.entrypoint]
     was initialized with a store, e.g.:
 
     ```python
@@ -53,10 +53,10 @@ def get_store() -> BaseStore:
     !!! warning "Async with Python < 3.11"
 
         If you are using Python < 3.11 and are running LangGraph asynchronously,
-        `get_store()` won't work since it uses [contextvar](https://docs.python.org/3/library/contextvars.html) propagation (only available in [Python >= 3.11](https://docs.python.org/3/library/asyncio-task.html#asyncio.create_task)).
+        `get_store()` won't work since it uses [`contextvar`](https://docs.python.org/3/library/contextvars.html) propagation (only available in [Python >= 3.11](https://docs.python.org/3/library/asyncio-task.html#asyncio.create_task)).
 
 
-    Example: Using with StateGraph
+    Example: Using with `StateGraph`
         ```python
         from typing_extensions import TypedDict
         from langgraph.graph import StateGraph, START
@@ -124,17 +124,17 @@ def get_store() -> BaseStore:
 
 
 def get_stream_writer() -> StreamWriter:
-    """Access LangGraph [StreamWriter][langgraph.types.StreamWriter] from inside a graph node or entrypoint task at runtime.
+    """Access LangGraph [`StreamWriter`][langgraph.types.StreamWriter] from inside a graph node or entrypoint task at runtime.
 
-    Can be called from inside any [StateGraph][langgraph.graph.StateGraph] node or
-    functional API [task][langgraph.func.task].
+    Can be called from inside any [`StateGraph`][langgraph.graph.StateGraph] node or
+    functional API [`task`][langgraph.func.task].
 
     !!! warning "Async with Python < 3.11"
 
         If you are using Python < 3.11 and are running LangGraph asynchronously,
-        `get_stream_writer()` won't work since it uses [contextvar](https://docs.python.org/3/library/contextvars.html) propagation (only available in [Python >= 3.11](https://docs.python.org/3/library/asyncio-task.html#asyncio.create_task)).
+        `get_stream_writer()` won't work since it uses [`contextvar`](https://docs.python.org/3/library/contextvars.html) propagation (only available in [Python >= 3.11](https://docs.python.org/3/library/asyncio-task.html#asyncio.create_task)).
 
-    Example: Using with StateGraph
+    Example: Using with `StateGraph`
         ```python
         from typing_extensions import TypedDict
         from langgraph.graph import StateGraph, START

libs/langgraph/langgraph/func/__init__.py

@@ -357,7 +357,7 @@ class entrypoint(Generic[ContextT]):
         my_workflow.invoke("hello", config)
         ```
 
-    Example: Using entrypoint.final to save a value
+    Example: Using `entrypoint.final` to save a value
         The `entrypoint.final` object allows you to return a value while saving
         a different value to the checkpoint. This value will be accessible
         in the next invocation of the entrypoint via the `previous` parameter, as

libs/langgraph/langgraph/graph/message.py

@@ -88,8 +88,8 @@ def add_messages(
         If a message in `right` has the same ID as a message in `left`, the
             message from `right` will replace the message from `left`.
 
-    Example:
-        ```python title="Basic usage"
+    Example: Basic usage
+        ```python
         from langchain_core.messages import AIMessage, HumanMessage
 
         msgs1 = [HumanMessage(content="Hello", id="1")]
@@ -98,14 +98,16 @@ def add_messages(
         # [HumanMessage(content='Hello', id='1'), AIMessage(content='Hi there!', id='2')]
         ```
 
-        ```python title="Overwrite existing message"
+    Example: Overwrite existing message
+        ```python
         msgs1 = [HumanMessage(content="Hello", id="1")]
         msgs2 = [HumanMessage(content="Hello again", id="1")]
         add_messages(msgs1, msgs2)
         # [HumanMessage(content='Hello again', id='1')]
         ```
 
-        ```python title="Use in a StateGraph"
+    Example: Use in a StateGraph
+        ```python
         from typing import Annotated
         from typing_extensions import TypedDict
         from langgraph.graph import StateGraph
@@ -124,7 +126,8 @@ def add_messages(
         # {'messages': [AIMessage(content='Hello', id=...)]}
         ```
 
-        ```python title="Use OpenAI message format"
+    Example: Use OpenAI message format
+        ```python
         from typing import Annotated
         from typing_extensions import TypedDict
         from langgraph.graph import StateGraph, add_messages

libs/langgraph/langgraph/graph/state.py

@@ -127,6 +127,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
     Args:
         state_schema: The schema class that defines the state.
         context_schema: The schema class that defines the runtime context.
+
             Use this to expose immutable context data to your nodes, like `user_id`, `db_conn`, etc.
         input_schema: The schema class that defines the input to the graph.
         output_schema: The schema class that defines the output from the graph.
@@ -371,18 +372,23 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
 
         Args:
             node: The function or runnable this node will run.
+
                 If a string is provided, it will be used as the node name, and action will be used as the function or runnable.
             action: The action associated with the node.
                 Will be used as the node function or runnable if `node` is a string (node name).
             defer: Whether to defer the execution of the node until the run is about to end.
             metadata: The metadata associated with the node.
-            input_schema: The input schema for the node. (default: the graph's state schema)
+            input_schema: The input schema for the node. (Default: the graph's state schema)
             retry_policy: The retry policy for the node.
+
                 If a sequence is provided, the first matching policy will be applied.
             cache_policy: The cache policy for the node.
             destinations: Destinations that indicate where a node can route to.
-                This is useful for edgeless graphs with nodes that return `Command` objects.
+
+                Useful for edgeless graphs with nodes that return `Command` objects.
+
                 If a `dict` is provided, the keys will be used as the target node names and the values will be used as the labels for the edges.
+
                 If a `tuple` is provided, the values will be used as the target node names.
 
                 !!! note
@@ -631,11 +637,14 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
         Args:
             source: The starting node. This conditional edge will run when
                 exiting this node.
-            path: The callable that determines the next
-                node or nodes. If not specifying `path_map` it should return one or
-                more nodes. If it returns `'END'`, the graph will stop execution.
-            path_map: Optional mapping of paths to node
-                names. If omitted the paths returned by `path` should be node names.
+            path: The callable that determines the next node or nodes.
+
+                If not specifying `path_map` it should return one or more nodes.
+
+                If it returns `'END'`, the graph will stop execution.
+            path_map: Optional mapping of paths to node names.
+
+                If omitted the paths returned by `path` should be node names.
 
         Returns:
             Self: The instance of the graph, allowing for method chaining.
@@ -676,7 +685,9 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
 
         Args:
             nodes: A sequence of `StateNode` (callables that accept a `state` arg) or `(name, StateNode)` tuples.
+
                 If no names are provided, the name will be inferred from the node object (e.g. a `Runnable` or a `Callable` name).
+
                 Each node will be executed in the order provided.
 
         Raises:
@@ -733,11 +744,14 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
         """Sets a conditional entry point in the graph.
 
         Args:
-            path: The callable that determines the next
-                node or nodes. If not specifying `path_map` it should return one or
-                more nodes. If it returns END, the graph will stop execution.
-            path_map: Optional mapping of paths to node
-                names. If omitted the paths returned by `path` should be node names.
+            path: The callable that determines the next node or nodes.
+
+                If not specifying `path_map` it should return one or more nodes.
+
+                If it returns END, the graph will stop execution.
+            path_map: Optional mapping of paths to node names.
+
+                If omitted the paths returned by `path` should be node names.
 
         Returns:
             Self: The instance of the graph, allowing for method chaining.
@@ -824,9 +838,12 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
 
         Args:
             checkpointer: A checkpoint saver object or flag.
+
                 If provided, this `Checkpointer` serves as a fully versioned "short-term memory" for the graph,
                 allowing it to be paused, resumed, and replayed from any point.
+
                 If `None`, it may inherit the parent graph's checkpointer when used as a subgraph.
+
                 If `False`, it will not use or inherit any checkpointer.
             interrupt_before: An optional list of node names to interrupt before.
             interrupt_after: An optional list of node names to interrupt after.

libs/langgraph/langgraph/pregel/main.py

@@ -210,8 +210,10 @@ class NodeBuilder:
         *channels: str,
         read: bool = True,
     ) -> Self:
-        """Add channels to subscribe to. Node will be invoked when any of these
-        channels are updated, with a dict of the channel values as input.
+        """Add channels to subscribe to.
+
+        Node will be invoked when any of these channels are updated, with a dict of the
+        channel values as input.
 
         Args:
             channels: Channel name(s) to subscribe to
@@ -270,8 +272,8 @@ class NodeBuilder:
         """Add channel writes.
 
         Args:
-            *channels: Channel names to write to
-            **kwargs: Channel name and value mappings
+            *channels: Channel names to write to.
+            **kwargs: Channel name and value mappings.
 
         Returns:
             Self for chaining
@@ -375,12 +377,12 @@ class Pregel(
     ### Advanced channels: Context and BinaryOperatorAggregate
 
     - `Context`: exposes the value of a context manager, managing its lifecycle.
-      Useful for accessing external resources that require setup and/or teardown. eg.
-      `client = Context(httpx.Client)`
+        Useful for accessing external resources that require setup and/or teardown. e.g.
+        `client = Context(httpx.Client)`
     - `BinaryOperatorAggregate`: stores a persistent value, updated by applying
-       a binary operator to the current value and each update
-       sent to the channel, useful for computing aggregates over multiple steps. eg.
-      `total = BinaryOperatorAggregate(int, operator.add)`
+        a binary operator to the current value and each update
+        sent to the channel, useful for computing aggregates over multiple steps. e.g.
+        `total = BinaryOperatorAggregate(int, operator.add)`
 
     ## Examples
 
@@ -495,7 +497,7 @@ class Pregel(
         {"c": ["foofoo", "foofoofoofoo"]}
         ```
 
-    Example: Using a BinaryOperatorAggregate channel
+    Example: Using a `BinaryOperatorAggregate` channel
         ```python
         from langgraph.channels import EphemeralValue, BinaryOperatorAggregate
         from langgraph.pregel import Pregel, NodeBuilder
@@ -541,8 +543,9 @@ class Pregel(
 
     Example: Introducing a cycle
         This example demonstrates how to introduce a cycle in the graph, by having
-        a chain write to a channel it subscribes to. Execution will continue
-        until a None value is written to the channel.
+        a chain write to a channel it subscribes to.
+
+        Execution will continue until a `None` value is written to the channel.
 
         ```python
         from langgraph.channels import EphemeralValue
@@ -1426,7 +1429,8 @@ class Pregel(
         Args:
             config: The config to apply the updates to.
             supersteps: A list of supersteps, each including a list of updates to apply sequentially to a graph state.
-                        Each update is a tuple of the form `(values, as_node, task_id)` where `task_id` is optional.
+
+                Each update is a tuple of the form `(values, as_node, task_id)` where `task_id` is optional.
 
         Raises:
             ValueError: If no checkpointer is set or no updates are provided.
@@ -1869,7 +1873,8 @@ class Pregel(
         Args:
             config: The config to apply the updates to.
             supersteps: A list of supersteps, each including a list of updates to apply sequentially to a graph state.
-                        Each update is a tuple of the form `(values, as_node, task_id)` where `task_id` is optional.
+
+                Each update is a tuple of the form `(values, as_node, task_id)` where `task_id` is optional.
 
         Raises:
             ValueError: If no checkpointer is set or no updates are provided.
@@ -2420,6 +2425,7 @@ class Pregel(
             context: The static context to use for the run.
                 !!! version-added "Added in version 0.6.0"
             stream_mode: The mode to stream output, defaults to `self.stream_mode`.
+
                 Options are:
 
                 - `"values"`: Emit all values in the state after each step, including interrupts.
@@ -2428,7 +2434,7 @@ class Pregel(
                     If multiple updates are made in the same step (e.g. multiple nodes are run) then those updates are emitted separately.
                 - `"custom"`: Emit custom data from inside nodes or tasks using `StreamWriter`.
                 - `"messages"`: Emit LLM messages token-by-token together with metadata for any LLM invocations inside nodes or tasks.
-                    Will be emitted as 2-tuples `(LLM token, metadata)`.
+                    - Will be emitted as 2-tuples `(LLM token, metadata)`.
                 - `"checkpoints"`: Emit an event when a checkpoint is created, in the same format as returned by `get_state()`.
                 - `"tasks"`: Emit events when tasks start and finish, including their results and errors.
                 - `"debug"`: Emit debug events with as much information as possible for each step.
@@ -2437,17 +2443,21 @@ class Pregel(
                 The streamed outputs will be tuples of `(mode, data)`.
 
                 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.
+            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.
             interrupt_after: Nodes to interrupt after, defaults to all nodes in the graph.
             durability: The durability mode for the graph execution, defaults to `"async"`.
+
                 Options are:
 
                 - `"sync"`: Changes are persisted synchronously before the next step starts.
                 - `"async"`: Changes are persisted asynchronously while the next step executes.
                 - `"exit"`: Changes are persisted only when the graph exits.
-            subgraphs: Whether to stream events from inside subgraphs, defaults to False.
+            subgraphs: Whether to stream events from inside subgraphs, defaults to `False`.
+
                 If `True`, the events will be emitted as tuples `(namespace, data)`,
                 or `(namespace, mode, data)` if `stream_mode` is a list,
                 where `namespace` is a tuple with the path to the node where a subgraph is invoked,
@@ -2689,6 +2699,7 @@ class Pregel(
             context: The static context to use for the run.
                 !!! version-added "Added in version 0.6.0"
             stream_mode: The mode to stream output, defaults to `self.stream_mode`.
+
                 Options are:
 
                 - `"values"`: Emit all values in the state after each step, including interrupts.
@@ -2697,7 +2708,7 @@ class Pregel(
                     If multiple updates are made in the same step (e.g. multiple nodes are run) then those updates are emitted separately.
                 - `"custom"`: Emit custom data from inside nodes or tasks using `StreamWriter`.
                 - `"messages"`: Emit LLM messages token-by-token together with metadata for any LLM invocations inside nodes or tasks.
-                    Will be emitted as 2-tuples `(LLM token, metadata)`.
+                    - Will be emitted as 2-tuples `(LLM token, metadata)`.
                 - `"checkpoints"`: Emit an event when a checkpoint is created, in the same format as returned by `get_state()`.
                 - `"tasks"`: Emit events when tasks start and finish, including their results and errors.
                 - `"debug"`: Emit debug events with as much information as possible for each step.
@@ -2706,17 +2717,21 @@ class Pregel(
                 The streamed outputs will be tuples of `(mode, data)`.
 
                 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.
+            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.
             interrupt_after: Nodes to interrupt after, defaults to all nodes in the graph.
             durability: The durability mode for the graph execution, defaults to `"async"`.
+
                 Options are:
 
                 - `"sync"`: Changes are persisted synchronously before the next step starts.
                 - `"async"`: Changes are persisted asynchronously while the next step executes.
                 - `"exit"`: Changes are persisted only when the graph exits.
-            subgraphs: Whether to stream events from inside subgraphs, defaults to False.
+            subgraphs: Whether to stream events from inside subgraphs, defaults to `False`.
+
                 If `True`, the events will be emitted as tuples `(namespace, data)`,
                 or `(namespace, mode, data)` if `stream_mode` is a list,
                 where `namespace` is a tuple with the path to the node where a subgraph is invoked,
@@ -3025,11 +3040,14 @@ class Pregel(
             context: The static context to use for the run.
                 !!! version-added "Added in version 0.6.0"
             stream_mode: The stream mode for the graph run.
-            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.
+            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 output keys to retrieve from the graph run.
             interrupt_before: The nodes to interrupt the graph run before.
             interrupt_after: The nodes to interrupt the graph run after.
             durability: The durability mode for the graph execution, defaults to `"async"`.
+
                 Options are:
 
                 - `"sync"`: Changes are persisted synchronously before the next step starts.
@@ -3112,11 +3130,14 @@ class Pregel(
             context: The static context to use for the run.
                 !!! version-added "Added in version 0.6.0"
             stream_mode: The stream mode for the graph run.
-            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.
+            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 output keys to retrieve from the graph run.
             interrupt_before: The nodes to interrupt the graph run before.
             interrupt_after: The nodes to interrupt the graph run after.
             durability: The durability mode for the graph execution, defaults to `"async"`.
+
                 Options are:
 
                 - `"sync"`: Changes are persisted synchronously before the next step starts.

libs/langgraph/langgraph/pregel/remote.py

@@ -725,9 +725,10 @@ class RemoteGraph(PregelProtocol):
             input = None
         else:
             command = None
+        thread_id = sanitized_config.get("configurable", {}).pop("thread_id", None)
 
         for chunk in sync_client.runs.stream(
-            thread_id=sanitized_config["configurable"].get("thread_id"),
+            thread_id=thread_id,
             assistant_id=self.assistant_id,
             input=input,
             command=command,
@@ -834,9 +835,10 @@ class RemoteGraph(PregelProtocol):
             input = None
         else:
             command = None
+        thread_id = sanitized_config.get("configurable", {}).pop("thread_id", None)
 
         async for chunk in client.runs.stream(
-            thread_id=sanitized_config["configurable"].get("thread_id"),
+            thread_id=thread_id,
             assistant_id=self.assistant_id,
             input=input,
             command=command,

libs/langgraph/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph"
-version = "1.0.3"
+version = "1.0.4"
 description = "Building stateful, multi-actor applications with LLMs"
 authors = []
 requires-python = ">=3.10"

libs/langgraph/tests/test_remote_graph.py

@@ -840,6 +840,46 @@ def test_invoke():
     assert result == {"messages": [{"type": "human", "content": "world"}]}
 
 
+def test_invoke_sanitizes_thread_id():
+    # Ensure that invoking with thread_id passes thread_id as a top-level arg
+    # and removes it from the config body.
+    mock_sync_client = MagicMock()
+    mock_sync_client.runs.stream.return_value = []
+    remote_pregel = RemoteGraph("test_graph_id", sync_client=mock_sync_client)
+
+    config = {"configurable": {"thread_id": "thread_1"}}
+    remote_pregel.invoke(
+        {"input": {"messages": [{"type": "human", "content": "hello"}]}}, config
+    )
+
+    assert mock_sync_client.runs.stream.called
+    _, kwargs = mock_sync_client.runs.stream.call_args
+    assert kwargs.get("thread_id") == "thread_1"
+    passed_config = kwargs.get("config") or {}
+    assert "configurable" in passed_config
+    assert "thread_id" not in passed_config["configurable"]
+    assert not passed_config["configurable"]
+
+
+def test_stream_sanitizes_thread_id():
+    # Ensure that streaming with thread_id passes thread_id as a top-level arg
+    # and removes it from the config body.
+    mock_sync_client = MagicMock()
+    mock_sync_client.runs.stream.return_value = []
+    remote_pregel = RemoteGraph("test_graph_id", sync_client=mock_sync_client)
+
+    config = {"configurable": {"thread_id": "thread_2"}}
+    list(remote_pregel.stream({"input": {"messages": []}}, config))
+
+    assert mock_sync_client.runs.stream.called
+    _, kwargs = mock_sync_client.runs.stream.call_args
+    assert kwargs.get("thread_id") == "thread_2"
+    passed_config = kwargs.get("config") or {}
+    assert "configurable" in passed_config
+    assert "thread_id" not in passed_config["configurable"]
+    assert not passed_config["configurable"]
+
+
 @pytest.mark.anyio
 async def test_ainvoke():
     # set up test

libs/langgraph/uv.lock

@@ -1345,7 +1345,7 @@ wheels = [
 
 [[package]]
 name = "langgraph"
-version = "1.0.3"
+version = "1.0.4"
 source = { editable = "." }
 dependencies = [
     { name = "langchain-core" },
@@ -1793,18 +1793,20 @@ requires-dist = [
 [package.metadata.requires-dev]
 dev = [
     { name = "codespell" },
-    { name = "mypy" },
+    { name = "mypy", specifier = "==1.19.0" },
     { name = "pydantic", specifier = ">=2.12.4" },
     { name = "pytest" },
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },
     { name = "pytest-watch" },
-    { name = "ruff" },
+    { name = "ruff", specifier = "==0.14.7" },
+    { name = "ty", specifier = "==0.0.1a27" },
 ]
 lint = [
     { name = "codespell" },
-    { name = "mypy" },
-    { name = "ruff" },
+    { name = "mypy", specifier = "==1.19.0" },
+    { name = "ruff", specifier = "==0.14.7" },
+    { name = "ty", specifier = "==0.0.1a27" },
 ]
 test = [
     { name = "pytest" },

libs/prebuilt/uv.lock

@@ -246,7 +246,7 @@ wheels = [
 
 [[package]]
 name = "langgraph"
-version = "1.0.3"
+version = "1.0.4"
 source = { editable = "../langgraph" }
 dependencies = [
     { name = "langchain-core" },
@@ -569,18 +569,20 @@ requires-dist = [
 [package.metadata.requires-dev]
 dev = [
     { name = "codespell" },
-    { name = "mypy" },
+    { name = "mypy", specifier = "==1.19.0" },
     { name = "pydantic", specifier = ">=2.12.4" },
     { name = "pytest" },
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },
     { name = "pytest-watch" },
-    { name = "ruff" },
+    { name = "ruff", specifier = "==0.14.7" },
+    { name = "ty", specifier = "==0.0.1a27" },
 ]
 lint = [
     { name = "codespell" },
-    { name = "mypy" },
-    { name = "ruff" },
+    { name = "mypy", specifier = "==1.19.0" },
+    { name = "ruff", specifier = "==0.14.7" },
+    { name = "ty", specifier = "==0.0.1a27" },
 ]
 test = [
     { name = "pytest" },

libs/sdk-py/Makefile

@@ -17,7 +17,7 @@ lint lint_diff:
 	uv run ruff check .
 	[ "$(PYTHON_FILES)" = "" ] || uv run ruff format $(PYTHON_FILES) --diff
 	[ "$(PYTHON_FILES)" = "" ] || uv run ruff check --select I $(PYTHON_FILES)
-	uvx ty check .
+	uv run ty check .
 
 format format_diff:
 	uv run ruff check --select I --fix $(PYTHON_FILES)

libs/sdk-py/langgraph_sdk/__init__.py

@@ -1,6 +1,6 @@
 from langgraph_sdk.auth import Auth
 from langgraph_sdk.client import get_client, get_sync_client
 
-__version__ = "0.2.9"
+__version__ = "0.2.12"
 
 __all__ = ["Auth", "get_client", "get_sync_client"]

libs/sdk-py/langgraph_sdk/client.py

@@ -35,6 +35,7 @@ from langgraph_sdk.schema import (
     Assistant,
     AssistantSelectField,
     AssistantSortBy,
+    AssistantsSearchResponse,
     AssistantVersion,
     CancelAction,
     Checkpoint,
@@ -48,6 +49,7 @@ from langgraph_sdk.schema import (
     Durability,
     GraphSchema,
     IfNotExists,
+    Input,
     Item,
     Json,
     ListNamespaceResponse,
@@ -80,25 +82,37 @@ logger = logging.getLogger(__name__)
 
 RESERVED_HEADERS = ("x-api-key",)
 
+NOT_PROVIDED = cast(None, object())
 
-def _get_api_key(api_key: str | None = None) -> str | None:
+
+def _get_api_key(api_key: str | None = NOT_PROVIDED) -> str | None:
     """Get the API key from the environment.
     Precedence:
-        1. explicit argument
-        2. LANGGRAPH_API_KEY
-        3. LANGSMITH_API_KEY
-        4. LANGCHAIN_API_KEY
+        1. explicit string argument
+        2. LANGGRAPH_API_KEY (if api_key not provided)
+        3. LANGSMITH_API_KEY (if api_key not provided)
+        4. LANGCHAIN_API_KEY (if api_key not provided)
+
+    Args:
+        api_key: The API key to use. Can be:
+            - A string: use this exact API key
+            - None: explicitly skip loading from environment
+            - NOT_PROVIDED (default): auto-load from environment variables
     """
-    if api_key:
+    if isinstance(api_key, str):
         return api_key
-    for prefix in ["LANGGRAPH", "LANGSMITH", "LANGCHAIN"]:
-        if env := os.getenv(f"{prefix}_API_KEY"):
-            return env.strip().strip('"').strip("'")
-    return None  # type: ignore
+    if api_key is NOT_PROVIDED:
+        # api_key is not explicitly provided, try to load from environment
+        for prefix in ["LANGGRAPH", "LANGSMITH", "LANGCHAIN"]:
+            if env := os.getenv(f"{prefix}_API_KEY"):
+                return env.strip().strip('"').strip("'")
+    # api_key is explicitly None, don't load from environment
+    return None
 
 
 def _get_headers(
-    api_key: str | None, custom_headers: Mapping[str, str] | None
+    api_key: str | None,
+    custom_headers: Mapping[str, str] | None,
 ) -> dict[str, str]:
     """Combine api_key and custom user-provided headers."""
     custom_headers = custom_headers or {}
@@ -110,9 +124,9 @@ def _get_headers(
         "User-Agent": f"langgraph-sdk-py/{langgraph_sdk.__version__}",
         **custom_headers,
     }
-    api_key = _get_api_key(api_key)
-    if api_key:
-        headers["x-api-key"] = api_key
+    resolved_api_key = _get_api_key(api_key)
+    if resolved_api_key:
+        headers["x-api-key"] = resolved_api_key
 
     return headers
 
@@ -163,7 +177,7 @@ def _get_run_metadata_from_response(
 def get_client(
     *,
     url: str | None = None,
-    api_key: str | None = None,
+    api_key: str | None = NOT_PROVIDED,
     headers: Mapping[str, str] | None = None,
     timeout: TimeoutTypes | None = None,
 ) -> LangGraphClient:
@@ -178,12 +192,13 @@ def get_client(
             - If `None`, the client first attempts an in-process connection via ASGI transport.
               If that fails, it falls back to `http://localhost:8123`.
         api_key:
-            API key for authentication. If omitted, the client reads from environment
-            variables in the following order:
-              1. Function argument
-              2. `LANGGRAPH_API_KEY`
-              3. `LANGSMITH_API_KEY`
-              4. `LANGCHAIN_API_KEY`
+            API key for authentication. Can be:
+              - A string: use this exact API key
+              - `None`: explicitly skip loading from environment variables
+              - Not provided (default): auto-load from environment in this order:
+                1. `LANGGRAPH_API_KEY`
+                2. `LANGSMITH_API_KEY`
+                3. `LANGCHAIN_API_KEY`
         headers:
             Additional HTTP headers to include in requests. Merged with authentication headers.
         timeout:
@@ -224,6 +239,18 @@ def get_client(
                 input={"messages": [{"role": "user", "content": "Foo"}]},
             )
         ```
+
+    ???+ example "Skip auto-loading API key from environment:"
+
+        ```python
+        from langgraph_sdk import get_client
+
+        # Don't load API key from environment variables
+        client = get_client(
+            url="http://localhost:8123",
+            api_key=None
+        )
+        ```
     """
 
     transport: httpx.AsyncBaseTransport | None = None
@@ -1028,47 +1055,99 @@ class AssistantsClient:
             f"/assistants/{assistant_id}", headers=headers, params=params
         )
 
+    @overload
     async def search(
         self,
         *,
         metadata: Json = None,
         graph_id: str | None = None,
+        name: str | None = None,
         limit: int = 10,
         offset: int = 0,
         sort_by: AssistantSortBy | None = None,
         sort_order: SortOrder | None = None,
         select: list[AssistantSelectField] | None = None,
+        response_format: Literal["object"],
         headers: Mapping[str, str] | None = None,
         params: QueryParamTypes | None = None,
-    ) -> list[Assistant]:
+    ) -> AssistantsSearchResponse: ...
+
+    @overload
+    async def search(
+        self,
+        *,
+        metadata: Json = None,
+        graph_id: str | None = None,
+        name: str | None = None,
+        limit: int = 10,
+        offset: int = 0,
+        sort_by: AssistantSortBy | None = None,
+        sort_order: SortOrder | None = None,
+        select: list[AssistantSelectField] | None = None,
+        response_format: Literal["array"] = "array",
+        headers: Mapping[str, str] | None = None,
+        params: QueryParamTypes | None = None,
+    ) -> list[Assistant]: ...
+
+    async def search(
+        self,
+        *,
+        metadata: Json = None,
+        graph_id: str | None = None,
+        name: str | None = None,
+        limit: int = 10,
+        offset: int = 0,
+        sort_by: AssistantSortBy | None = None,
+        sort_order: SortOrder | None = None,
+        select: list[AssistantSelectField] | None = None,
+        response_format: Literal["array", "object"] = "array",
+        headers: Mapping[str, str] | None = None,
+        params: QueryParamTypes | None = None,
+    ) -> AssistantsSearchResponse | list[Assistant]:
         """Search for assistants.
 
         Args:
             metadata: Metadata to filter by. Exact match filter for each KV pair.
             graph_id: The ID of the graph to filter by.
                 The graph ID is normally set in your langgraph.json configuration.
+            name: The name of the assistant to filter by.
+                The filtering logic will match assistants where 'name' is a substring (case insensitive) of the assistant name.
             limit: The maximum number of results to return.
             offset: The number of results to skip.
             sort_by: The field to sort by.
             sort_order: The order to sort by.
+            select: Specific assistant fields to include in the response.
+            response_format: Controls the response shape. Use ``"array"`` (default)
+                to return a bare list of assistants, or ``"object"`` to return
+                a mapping containing assistants plus pagination metadata.
+                Defaults to "array", though this default will be changed to "object" in a future release.
             headers: Optional custom headers to include with the request.
             params: Optional query parameters to include with the request.
 
         Returns:
-            A list of assistants.
+            A list of assistants (when ``response_format=\"array\"``) or a mapping
+            with the assistants and the next pagination cursor (when
+            ``response_format=\"object\"``).
 
         ???+ example "Example Usage"
 
             ```python
             client = get_client(url="http://localhost:2024")
-            assistants = await client.assistants.search(
+            response = await client.assistants.search(
                 metadata = {"name":"my_name"},
                 graph_id="my_graph_id",
                 limit=5,
-                offset=5
+                offset=5,
+                response_format="object"
             )
+            next_cursor = response["next"]
+            assistants = response["assistants"]
             ```
         """
+        if response_format not in ("array", "object"):
+            raise ValueError(
+                f"response_format must be 'array' or 'object', got {response_format!r}"
+            )
         payload: dict[str, Any] = {
             "limit": limit,
             "offset": offset,
@@ -1077,18 +1156,33 @@ class AssistantsClient:
             payload["metadata"] = metadata
         if graph_id:
             payload["graph_id"] = graph_id
+        if name:
+            payload["name"] = name
         if sort_by:
             payload["sort_by"] = sort_by
         if sort_order:
             payload["sort_order"] = sort_order
         if select:
             payload["select"] = select
-        return await self.http.post(
-            "/assistants/search",
-            json=payload,
-            headers=headers,
-            params=params,
+        next_cursor: str | None = None
+
+        def capture_pagination(response: httpx.Response) -> None:
+            nonlocal next_cursor
+            next_cursor = response.headers.get("X-Pagination-Next")
+
+        assistants = cast(
+            list[Assistant],
+            await self.http.post(
+                "/assistants/search",
+                json=payload,
+                headers=headers,
+                params=params,
+                on_response=capture_pagination if response_format == "object" else None,
+            ),
         )
+        if response_format == "object":
+            return {"assistants": assistants, "next": next_cursor}
+        return assistants
 
     async def count(
         self,
@@ -1876,7 +1970,7 @@ class RunsClient:
         thread_id: str,
         assistant_id: str,
         *,
-        input: Mapping[str, Any] | None = None,
+        input: Input | None = None,
         command: Command | None = None,
         stream_mode: StreamMode | Sequence[StreamMode] = "values",
         stream_subgraphs: bool = False,
@@ -1906,7 +2000,7 @@ class RunsClient:
         thread_id: None,
         assistant_id: str,
         *,
-        input: Mapping[str, Any] | None = None,
+        input: Input | None = None,
         command: Command | None = None,
         stream_mode: StreamMode | Sequence[StreamMode] = "values",
         stream_subgraphs: bool = False,
@@ -1932,7 +2026,7 @@ class RunsClient:
         thread_id: str | None,
         assistant_id: str,
         *,
-        input: Mapping[str, Any] | None = None,
+        input: Input | None = None,
         command: Command | None = None,
         stream_mode: StreamMode | Sequence[StreamMode] = "values",
         stream_subgraphs: bool = False,
@@ -2091,7 +2185,7 @@ class RunsClient:
         thread_id: None,
         assistant_id: str,
         *,
-        input: Mapping[str, Any] | None = None,
+        input: Input | None = None,
         command: Command | None = None,
         stream_mode: StreamMode | Sequence[StreamMode] = "values",
         stream_subgraphs: bool = False,
@@ -2117,7 +2211,7 @@ class RunsClient:
         thread_id: str,
         assistant_id: str,
         *,
-        input: Mapping[str, Any] | None = None,
+        input: Input | None = None,
         command: Command | None = None,
         stream_mode: StreamMode | Sequence[StreamMode] = "values",
         stream_subgraphs: bool = False,
@@ -2144,7 +2238,7 @@ class RunsClient:
         thread_id: str | None,
         assistant_id: str,
         *,
-        input: Mapping[str, Any] | None = None,
+        input: Input | None = None,
         command: Command | None = None,
         stream_mode: StreamMode | Sequence[StreamMode] = "values",
         stream_subgraphs: bool = False,
@@ -2346,7 +2440,7 @@ class RunsClient:
         thread_id: str,
         assistant_id: str,
         *,
-        input: Mapping[str, Any] | None = None,
+        input: Input | None = None,
         command: Command | None = None,
         metadata: Mapping[str, Any] | None = None,
         config: Config | None = None,
@@ -2373,7 +2467,7 @@ class RunsClient:
         thread_id: None,
         assistant_id: str,
         *,
-        input: Mapping[str, Any] | None = None,
+        input: Input | None = None,
         command: Command | None = None,
         metadata: Mapping[str, Any] | None = None,
         config: Config | None = None,
@@ -2397,7 +2491,7 @@ class RunsClient:
         thread_id: str | None,
         assistant_id: str,
         *,
-        input: Mapping[str, Any] | None = None,
+        input: Input | None = None,
         command: Command | None = None,
         metadata: Mapping[str, Any] | None = None,
         config: Config | None = None,
@@ -2870,7 +2964,7 @@ class CronClient:
         assistant_id: str,
         *,
         schedule: str,
-        input: Mapping[str, Any] | None = None,
+        input: Input | None = None,
         metadata: Mapping[str, Any] | None = None,
         config: Config | None = None,
         context: Context | None = None,
@@ -2953,7 +3047,7 @@ class CronClient:
         assistant_id: str,
         *,
         schedule: str,
-        input: Mapping[str, Any] | None = None,
+        input: Input | None = None,
         metadata: Mapping[str, Any] | None = None,
         config: Config | None = None,
         context: Context | None = None,
@@ -3465,7 +3559,7 @@ class StoreClient:
 def get_sync_client(
     *,
     url: str | None = None,
-    api_key: str | None = None,
+    api_key: str | None = NOT_PROVIDED,
     headers: Mapping[str, str] | None = None,
     timeout: TimeoutTypes | None = None,
 ) -> SyncLangGraphClient:
@@ -3473,12 +3567,13 @@ def get_sync_client(
 
     Args:
         url: The URL of the LangGraph API.
-        api_key: The API key. If not provided, it will be read from the environment.
-            Precedence:
-                1. explicit argument
-                2. LANGGRAPH_API_KEY
-                3. LANGSMITH_API_KEY
-                4. LANGCHAIN_API_KEY
+        api_key: API key for authentication. Can be:
+            - A string: use this exact API key
+            - `None`: explicitly skip loading from environment variables
+            - Not provided (default): auto-load from environment in this order:
+                1. `LANGGRAPH_API_KEY`
+                2. `LANGSMITH_API_KEY`
+                3. `LANGCHAIN_API_KEY`
         headers: Optional custom headers
         timeout: Optional timeout configuration for the HTTP client.
             Accepts an httpx.Timeout instance, a float (seconds), or a tuple of timeouts.
@@ -3499,6 +3594,18 @@ def get_sync_client(
         # example usage: client.<model>.<method_name>()
         assistant = client.assistants.get(assistant_id="some_uuid")
         ```
+
+    ???+ example "Skip auto-loading API key from environment:"
+
+        ```python
+        from langgraph_sdk import get_sync_client
+
+        # Don't load API key from environment variables
+        client = get_sync_client(
+            url="http://localhost:8123",
+            api_key=None
+        )
+        ```
     """
 
     if url is None:
@@ -4284,44 +4391,96 @@ class SyncAssistantsClient:
         """
         self.http.delete(f"/assistants/{assistant_id}", headers=headers, params=params)
 
+    @overload
     def search(
         self,
         *,
         metadata: Json = None,
         graph_id: str | None = None,
+        name: str | None = None,
         limit: int = 10,
         offset: int = 0,
         sort_by: AssistantSortBy | None = None,
         sort_order: SortOrder | None = None,
         select: list[AssistantSelectField] | None = None,
+        response_format: Literal["object"],
         headers: Mapping[str, str] | None = None,
         params: QueryParamTypes | None = None,
-    ) -> list[Assistant]:
+    ) -> AssistantsSearchResponse: ...
+
+    @overload
+    def search(
+        self,
+        *,
+        metadata: Json = None,
+        graph_id: str | None = None,
+        name: str | None = None,
+        limit: int = 10,
+        offset: int = 0,
+        sort_by: AssistantSortBy | None = None,
+        sort_order: SortOrder | None = None,
+        select: list[AssistantSelectField] | None = None,
+        response_format: Literal["array"] = "array",
+        headers: Mapping[str, str] | None = None,
+        params: QueryParamTypes | None = None,
+    ) -> list[Assistant]: ...
+
+    def search(
+        self,
+        *,
+        metadata: Json = None,
+        graph_id: str | None = None,
+        name: str | None = None,
+        limit: int = 10,
+        offset: int = 0,
+        sort_by: AssistantSortBy | None = None,
+        sort_order: SortOrder | None = None,
+        select: list[AssistantSelectField] | None = None,
+        response_format: Literal["array", "object"] = "array",
+        headers: Mapping[str, str] | None = None,
+        params: QueryParamTypes | None = None,
+    ) -> AssistantsSearchResponse | list[Assistant]:
         """Search for assistants.
 
         Args:
             metadata: Metadata to filter by. Exact match filter for each KV pair.
             graph_id: The ID of the graph to filter by.
                 The graph ID is normally set in your langgraph.json configuration.
+            name: The name of the assistant to filter by.
+                The filtering logic will match assistants where 'name' is a substring (case insensitive) of the assistant name.
             limit: The maximum number of results to return.
             offset: The number of results to skip.
+            sort_by: The field to sort by.
+            sort_order: The order to sort by.
+            select: Specific assistant fields to include in the response.
+            response_format: Controls the response shape. Use ``"array"`` (default)
+                to return a bare list of assistants, or ``"object"`` to return
+                a mapping containing assistants plus pagination metadata.
+                Defaults to "array", though this default will be changed to "object" in a future release.
             headers: Optional custom headers to include with the request.
 
         Returns:
-            A list of assistants.
+            A list of assistants (when ``response_format=\"array\"``) or a mapping
+            with the assistants and the next pagination cursor (when
+            ``response_format=\"object\"``).
 
         ???+ example "Example Usage"
 
             ```python
             client = get_sync_client(url="http://localhost:2024")
-            assistants = client.assistants.search(
+            response = client.assistants.search(
                 metadata = {"name":"my_name"},
                 graph_id="my_graph_id",
                 limit=5,
-                offset=5
+                offset=5,
+                response_format="object",
             )
+            assistants = response["assistants"]
+            next_cursor = response["next"]
             ```
         """
+        if response_format not in ("array", "object"):
+            raise ValueError("response_format must be 'array' or 'object'")
         payload: dict[str, Any] = {
             "limit": limit,
             "offset": offset,
@@ -4330,18 +4489,33 @@ class SyncAssistantsClient:
             payload["metadata"] = metadata
         if graph_id:
             payload["graph_id"] = graph_id
+        if name:
+            payload["name"] = name
         if sort_by:
             payload["sort_by"] = sort_by
         if sort_order:
             payload["sort_order"] = sort_order
         if select:
             payload["select"] = select
-        return self.http.post(
-            "/assistants/search",
-            json=payload,
-            headers=headers,
-            params=params,
+        next_cursor: str | None = None
+
+        def capture_pagination(response: httpx.Response) -> None:
+            nonlocal next_cursor
+            next_cursor = response.headers.get("X-Pagination-Next")
+
+        assistants = cast(
+            list[Assistant],
+            self.http.post(
+                "/assistants/search",
+                json=payload,
+                headers=headers,
+                params=params,
+                on_response=capture_pagination if response_format == "object" else None,
+            ),
         )
+        if response_format == "object":
+            return {"assistants": assistants, "next": next_cursor}
+        return assistants
 
     def count(
         self,
@@ -5111,7 +5285,7 @@ class SyncRunsClient:
         thread_id: str,
         assistant_id: str,
         *,
-        input: Mapping[str, Any] | None = None,
+        input: Input | None = None,
         command: Command | None = None,
         stream_mode: StreamMode | Sequence[StreamMode] = "values",
         stream_subgraphs: bool = False,
@@ -5140,7 +5314,7 @@ class SyncRunsClient:
         thread_id: None,
         assistant_id: str,
         *,
-        input: Mapping[str, Any] | None = None,
+        input: Input | None = None,
         command: Command | None = None,
         stream_mode: StreamMode | Sequence[StreamMode] = "values",
         stream_subgraphs: bool = False,
@@ -5167,7 +5341,7 @@ class SyncRunsClient:
         thread_id: str | None,
         assistant_id: str,
         *,
-        input: Mapping[str, Any] | None = None,
+        input: Input | None = None,
         command: Command | None = None,
         stream_mode: StreamMode | Sequence[StreamMode] = "values",
         stream_subgraphs: bool = False,
@@ -5322,7 +5496,7 @@ class SyncRunsClient:
         thread_id: None,
         assistant_id: str,
         *,
-        input: Mapping[str, Any] | None = None,
+        input: Input | None = None,
         command: Command | None = None,
         stream_mode: StreamMode | Sequence[StreamMode] = "values",
         stream_subgraphs: bool = False,
@@ -5348,7 +5522,7 @@ class SyncRunsClient:
         thread_id: str,
         assistant_id: str,
         *,
-        input: Mapping[str, Any] | None = None,
+        input: Input | None = None,
         command: Command | None = None,
         stream_mode: StreamMode | Sequence[StreamMode] = "values",
         stream_subgraphs: bool = False,
@@ -5375,7 +5549,7 @@ class SyncRunsClient:
         thread_id: str | None,
         assistant_id: str,
         *,
-        input: Mapping[str, Any] | None = None,
+        input: Input | None = None,
         command: Command | None = None,
         stream_mode: StreamMode | Sequence[StreamMode] = "values",
         stream_subgraphs: bool = False,
@@ -5577,7 +5751,7 @@ class SyncRunsClient:
         thread_id: str,
         assistant_id: str,
         *,
-        input: Mapping[str, Any] | None = None,
+        input: Input | None = None,
         command: Command | None = None,
         metadata: Mapping[str, Any] | None = None,
         config: Config | None = None,
@@ -5604,7 +5778,7 @@ class SyncRunsClient:
         thread_id: None,
         assistant_id: str,
         *,
-        input: Mapping[str, Any] | None = None,
+        input: Input | None = None,
         command: Command | None = None,
         metadata: Mapping[str, Any] | None = None,
         config: Config | None = None,
@@ -5628,7 +5802,7 @@ class SyncRunsClient:
         thread_id: str | None,
         assistant_id: str,
         *,
-        input: Mapping[str, Any] | None = None,
+        input: Input | None = None,
         command: Command | None = None,
         metadata: Mapping[str, Any] | None = None,
         config: Config | None = None,
@@ -6081,7 +6255,7 @@ class SyncCronClient:
         assistant_id: str,
         *,
         schedule: str,
-        input: Mapping[str, Any] | None = None,
+        input: Input | None = None,
         metadata: Mapping[str, Any] | None = None,
         config: Config | None = None,
         context: Context | None = None,
@@ -6160,7 +6334,7 @@ class SyncCronClient:
         assistant_id: str,
         *,
         schedule: str,
-        input: Mapping[str, Any] | None = None,
+        input: Input | None = None,
         metadata: Mapping[str, Any] | None = None,
         config: Config | None = None,
         context: Context | None = None,

libs/sdk-py/langgraph_sdk/schema.py

@@ -3,15 +3,20 @@
 from __future__ import annotations
 
 from collections.abc import Mapping, Sequence
+from dataclasses import Field
 from datetime import datetime
 from typing import (
     Any,
+    ClassVar,
     Literal,
     NamedTuple,
+    Protocol,
     TypeAlias,
-    TypedDict,
+    Union,
 )
 
+from typing_extensions import TypedDict
+
 Json = dict[str, Any] | None
 """Represents a JSON-like structure, which can be None or a dictionary with string keys and any values."""
 
@@ -143,8 +148,6 @@ SortOrder = Literal["asc", "desc"]
 The order to sort by.
 """
 
-Context: TypeAlias = dict[str, Any]
-
 
 class Config(TypedDict, total=False):
     """Configuration options for a call."""
@@ -243,6 +246,15 @@ class Assistant(AssistantBase):
     """The last time the assistant was updated."""
 
 
+class AssistantsSearchResponse(TypedDict):
+    """Paginated response for assistant search results."""
+
+    assistants: list[Assistant]
+    """The assistants returned for the current search page."""
+    next: str | None
+    """Pagination cursor from the ``X-Pagination-Next`` response header."""
+
+
 class Interrupt(TypedDict):
     """Represents an interruption in the execution flow."""
 
@@ -413,6 +425,7 @@ CronSelectField = Literal[
     "next_run_date",
     "metadata",
     "now",
+    "on_run_completed",
 ]
 
 PrimitiveData = str | int | float | bool | None
@@ -558,3 +571,54 @@ class RunCreateMetadata(TypedDict):
 
     thread_id: str | None
     """The ID of the thread."""
+
+
+class _TypedDictLikeV1(Protocol):
+    """Protocol to represent types that behave like TypedDicts
+
+    Version 1: using `ClassVar` for keys."""
+
+    __required_keys__: ClassVar[frozenset[str]]
+    __optional_keys__: ClassVar[frozenset[str]]
+
+
+class _TypedDictLikeV2(Protocol):
+    """Protocol to represent types that behave like TypedDicts
+
+    Version 2: not using `ClassVar` for keys."""
+
+    __required_keys__: frozenset[str]
+    __optional_keys__: frozenset[str]
+
+
+class _DataclassLike(Protocol):
+    """Protocol to represent types that behave like dataclasses.
+
+    Inspired by the private _DataclassT from dataclasses that uses a similar protocol as a bound.
+    """
+
+    __dataclass_fields__: ClassVar[dict[str, Field[Any]]]
+
+
+class _BaseModelLike(Protocol):
+    """Protocol to represent types that behave like Pydantic `BaseModel`."""
+
+    model_config: ClassVar[dict[str, Any]]
+    __pydantic_core_schema__: ClassVar[Any]
+
+    def model_dump(
+        self,
+        **kwargs: Any,
+    ) -> dict[str, Any]: ...
+
+
+_JSONLike: TypeAlias = None | str | int | float | bool
+_JSONMap: TypeAlias = Mapping[
+    str, Union[_JSONLike, list[_JSONLike], "_JSONMap", list["_JSONMap"]]
+]
+
+Input: TypeAlias = (
+    _TypedDictLikeV1 | _TypedDictLikeV2 | _DataclassLike | _BaseModelLike | _JSONMap
+)
+
+Context: TypeAlias = Input

libs/sdk-py/pyproject.toml

@@ -23,8 +23,18 @@ Slack = "https://www.langchain.com/join-community"
 Reddit = "https://www.reddit.com/r/LangChain/"
 
 [dependency-groups]
-test = ["pytest", "pytest-asyncio", "pytest-mock", "pytest-watch"]
-lint = ["ruff", "codespell", "mypy"]
+test = [
+    "pytest",
+    "pytest-asyncio",
+    "pytest-mock",
+    "pytest-watch",
+]
+lint = [
+    "ruff==0.14.7",
+    "codespell",
+    "mypy==1.19.0",
+    "ty==0.0.1a27",
+]
 dev = [
   { include-group = "test" },
   { include-group = "lint" },

libs/sdk-py/tests/test_assistants_client.py

@@ -0,0 +1,91 @@
+from __future__ import annotations
+
+import httpx
+import pytest
+
+from langgraph_sdk.client import (
+    AssistantsClient,
+    HttpClient,
+    SyncAssistantsClient,
+    SyncHttpClient,
+)
+
+
+def _assistant_payload() -> dict[str, object]:
+    return {
+        "assistant_id": "asst_123",
+        "graph_id": "graph_123",
+        "config": {"configurable": {"foo": "bar"}},
+        "context": {"foo": "bar"},
+        "created_at": "2024-01-01T00:00:00Z",
+        "metadata": {"env": "test"},
+        "version": 1,
+        "name": "My Assistant",
+        "description": "Example",
+        "updated_at": "2024-01-02T00:00:00Z",
+    }
+
+
+@pytest.mark.asyncio
+async def test_assistants_search_returns_list_by_default():
+    assistant = _assistant_payload()
+
+    async def handler(request: httpx.Request) -> httpx.Response:
+        assert request.method == "POST"
+        assert request.url.path == "/assistants/search"
+        return httpx.Response(200, json=[assistant])
+
+    transport = httpx.MockTransport(handler)
+    async with httpx.AsyncClient(
+        transport=transport, base_url="https://example.com"
+    ) as client:
+        http_client = HttpClient(client)
+        assistants_client = AssistantsClient(http_client)
+        result = await assistants_client.search(limit=3)
+
+    assert result == [assistant]
+
+
+@pytest.mark.asyncio
+async def test_assistants_search_can_return_object_with_pagination_metadata():
+    assistant = _assistant_payload()
+
+    async def handler(request: httpx.Request) -> httpx.Response:
+        assert request.method == "POST"
+        assert request.url.path == "/assistants/search"
+        return httpx.Response(
+            200,
+            headers={"X-Pagination-Next": "42"},
+            json=[assistant],
+        )
+
+    transport = httpx.MockTransport(handler)
+    async with httpx.AsyncClient(
+        transport=transport, base_url="https://example.com"
+    ) as client:
+        http_client = HttpClient(client)
+        assistants_client = AssistantsClient(http_client)
+        result = await assistants_client.search(response_format="object")
+
+    assert result == {"assistants": [assistant], "next": "42"}
+
+
+def test_sync_assistants_search_can_return_object_with_pagination_metadata():
+    assistant = _assistant_payload()
+
+    def handler(request: httpx.Request) -> httpx.Response:
+        assert request.method == "POST"
+        assert request.url.path == "/assistants/search"
+        return httpx.Response(
+            200,
+            headers={"X-Pagination-Next": "84"},
+            json=[assistant],
+        )
+
+    transport = httpx.MockTransport(handler)
+    with httpx.Client(transport=transport, base_url="https://example.com") as client:
+        http_client = SyncHttpClient(client)
+        assistants_client = SyncAssistantsClient(http_client)
+        result = assistants_client.search(response_format="object")
+
+    assert result == {"assistants": [assistant], "next": "84"}

libs/sdk-py/tests/test_serde.py

@@ -30,6 +30,28 @@ async def test_serde_pydantic():
     assert result["name"] == "test"
     assert result["age"] == 25
 
+    nested_result = await _serde_roundtrip({"data": model})
+    assert nested_result["data"]["name"] == "test"
+    assert nested_result["data"]["age"] == 25
+
+
+async def test_serde_dataclass():
+    from dataclasses import dataclass
+
+    @dataclass
+    class TestDataClass:
+        name: str
+        age: int
+
+    data = TestDataClass(name="test", age=25)
+    result = await _serde_roundtrip(data)
+    assert result["name"] == "test"
+    assert result["age"] == 25
+
+    nested_result = await _serde_roundtrip({"data": data})
+    assert nested_result["data"]["name"] == "test"
+    assert nested_result["data"]["age"] == 25
+
 
 async def test_serde_pydantic_cls_fails():
     # Test that serialization fails gracefully for Pydantic model when not available

libs/sdk-py/tests/test_serde_schema.py

@@ -0,0 +1,30 @@
+from dataclasses import dataclass
+from typing import runtime_checkable
+
+from pydantic import BaseModel
+
+from langgraph_sdk.schema import (
+    _BaseModelLike,
+    _DataclassLike,
+)
+
+
+def rc(cls: type) -> type:
+    return runtime_checkable(cls)
+
+
+class MyModel(BaseModel):
+    foo: str
+
+
+def test_base_model_like():
+    assert isinstance(MyModel(foo="test"), rc(_BaseModelLike))
+
+
+@dataclass
+class MyDataclass:
+    foo: str
+
+
+def test_dataclass_like():
+    assert isinstance(MyDataclass(foo="test"), rc(_DataclassLike))

libs/sdk-py/tests/test_skip_auto_load_api_key.py

@@ -0,0 +1,70 @@
+"""Tests for api_key parameter behavior."""
+
+import pytest
+
+from langgraph_sdk import get_client, get_sync_client
+
+
+class TestSkipAutoLoadApiKey:
+    """Test the api_key parameter's auto-loading behavior."""
+
+    @pytest.mark.asyncio
+    async def test_get_client_loads_from_env_by_default(self, monkeypatch):
+        """Test that API key is loaded from environment by default."""
+        monkeypatch.setenv("LANGGRAPH_API_KEY", "test-key-from-env")
+
+        client = get_client(url="http://localhost:8123")
+        assert "x-api-key" in client.http.client.headers
+        assert client.http.client.headers["x-api-key"] == "test-key-from-env"
+        await client.aclose()
+
+    @pytest.mark.asyncio
+    async def test_get_client_skips_env_when_sentinel_used(self, monkeypatch):
+        """Test that API key is not loaded from environment when None is explicitly passed."""
+        monkeypatch.setenv("LANGGRAPH_API_KEY", "test-key-from-env")
+
+        client = get_client(url="http://localhost:8123", api_key=None)
+        assert "x-api-key" not in client.http.client.headers
+        await client.aclose()
+
+    @pytest.mark.asyncio
+    async def test_get_client_uses_explicit_key_when_provided(self, monkeypatch):
+        """Test that explicit API key takes precedence over environment."""
+        monkeypatch.setenv("LANGGRAPH_API_KEY", "test-key-from-env")
+
+        client = get_client(
+            url="http://localhost:8123",
+            api_key="explicit-key",
+        )
+        assert "x-api-key" in client.http.client.headers
+        assert client.http.client.headers["x-api-key"] == "explicit-key"
+        await client.aclose()
+
+    def test_get_sync_client_loads_from_env_by_default(self, monkeypatch):
+        """Test that sync client loads API key from environment by default."""
+        monkeypatch.setenv("LANGGRAPH_API_KEY", "test-key-from-env")
+
+        client = get_sync_client(url="http://localhost:8123")
+        assert "x-api-key" in client.http.client.headers
+        assert client.http.client.headers["x-api-key"] == "test-key-from-env"
+        client.close()
+
+    def test_get_sync_client_skips_env_when_sentinel_used(self, monkeypatch):
+        """Test that sync client doesn't load from environment when None is explicitly passed."""
+        monkeypatch.setenv("LANGGRAPH_API_KEY", "test-key-from-env")
+
+        client = get_sync_client(url="http://localhost:8123", api_key=None)
+        assert "x-api-key" not in client.http.client.headers
+        client.close()
+
+    def test_get_sync_client_uses_explicit_key_when_provided(self, monkeypatch):
+        """Test that sync client uses explicit API key when provided."""
+        monkeypatch.setenv("LANGGRAPH_API_KEY", "test-key-from-env")
+
+        client = get_sync_client(
+            url="http://localhost:8123",
+            api_key="explicit-key",
+        )
+        assert "x-api-key" in client.http.client.headers
+        assert client.http.client.headers["x-api-key"] == "explicit-key"
+        client.close()

libs/sdk-py/uv.lock

@@ -70,14 +70,14 @@ sdist = { url = "https://files.pythonhosted.org/packages/a2/55/8f8cab2afd404cf57
 
 [[package]]
 name = "exceptiongroup"
-version = "1.3.0"
+version = "1.3.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "typing-extensions", marker = "python_full_version < '3.13'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/0b/9f/a65090624ecf468cdca03533906e7c69ed7588582240cfe7cc9e770b50eb/exceptiongroup-1.3.0.tar.gz", hash = "sha256:b241f5885f560bc56a59ee63ca4c6a8bfa46ae4ad651af316d4e81817bb9fd88", size = 29749, upload-time = "2025-05-10T17:42:51.123Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/50/79/66800aadf48771f6b62f7eb014e352e5d06856655206165d775e675a02c9/exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219", size = 30371, upload-time = "2025-11-21T23:01:54.787Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/36/f4/c6e662dade71f56cd2f3735141b265c3c79293c109549c1e6933b0651ffc/exceptiongroup-1.3.0-py3-none-any.whl", hash = "sha256:4d111e6e0c13d0644cad6ddaa7ed0261a0b36971f6d23e7ec9b4b9097da78a10", size = 16674, upload-time = "2025-05-10T17:42:49.33Z" },
+    { url = "https://files.pythonhosted.org/packages/8a/0e/97c33bf5009bdbac74fd2beace167cab3f978feb69cc36f1ef79360d6c4e/exceptiongroup-1.3.1-py3-none-any.whl", hash = "sha256:a7a39a3bd276781e98394987d3a5701d0c4edffb633bb7a5144577f82c773598", size = 16740, upload-time = "2025-11-21T23:01:53.443Z" },
 ]
 
 [[package]]
@@ -153,11 +153,13 @@ dev = [
     { name = "pytest-mock" },
     { name = "pytest-watch" },
     { name = "ruff" },
+    { name = "ty" },
 ]
 lint = [
     { name = "codespell" },
     { name = "mypy" },
     { name = "ruff" },
+    { name = "ty" },
 ]
 test = [
     { name = "pytest" },
@@ -175,18 +177,20 @@ requires-dist = [
 [package.metadata.requires-dev]
 dev = [
     { name = "codespell" },
-    { name = "mypy" },
+    { name = "mypy", specifier = "==1.19.0" },
     { name = "pydantic", specifier = ">=2.12.4" },
     { name = "pytest" },
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },
     { name = "pytest-watch" },
-    { name = "ruff" },
+    { name = "ruff", specifier = "==0.14.7" },
+    { name = "ty", specifier = "==0.0.1a27" },
 ]
 lint = [
     { name = "codespell" },
-    { name = "mypy" },
-    { name = "ruff" },
+    { name = "mypy", specifier = "==1.19.0" },
+    { name = "ruff", specifier = "==0.14.7" },
+    { name = "ty", specifier = "==0.0.1a27" },
 ]
 test = [
     { name = "pytest" },
@@ -195,49 +199,123 @@ test = [
     { name = "pytest-watch" },
 ]
 
+[[package]]
+name = "librt"
+version = "0.6.3"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/37/c3/cdff3c10e2e608490dc0a310ccf11ba777b3943ad4fcead2a2ade98c21e1/librt-0.6.3.tar.gz", hash = "sha256:c724a884e642aa2bbad52bb0203ea40406ad742368a5f90da1b220e970384aae", size = 54209, upload-time = "2025-11-29T14:01:56.058Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/a6/84/859df8db21dedab2538ddfbe1d486dda3eb66a98c6ad7ba754a99e25e45e/librt-0.6.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:45660d26569cc22ed30adf583389d8a0d1b468f8b5e518fcf9bfe2cd298f9dd1", size = 27294, upload-time = "2025-11-29T14:00:35.053Z" },
+    { url = "https://files.pythonhosted.org/packages/f7/01/ec3971cf9c4f827f17de6729bdfdbf01a67493147334f4ef8fac68936e3a/librt-0.6.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:54f3b2177fb892d47f8016f1087d21654b44f7fc4cf6571c1c6b3ea531ab0fcf", size = 27635, upload-time = "2025-11-29T14:00:36.496Z" },
+    { url = "https://files.pythonhosted.org/packages/b4/f9/3efe201df84dd26388d2e0afa4c4dc668c8e406a3da7b7319152faf835a1/librt-0.6.3-cp310-cp310-manylinux1_i686.manylinux_2_28_i686.manylinux_2_5_i686.whl", hash = "sha256:c5b31bed2c2f2fa1fcb4815b75f931121ae210dc89a3d607fb1725f5907f1437", size = 81768, upload-time = "2025-11-29T14:00:37.451Z" },
+    { url = "https://files.pythonhosted.org/packages/0a/13/f63e60bc219b17f3d8f3d13423cd4972e597b0321c51cac7bfbdd5e1f7b9/librt-0.6.3-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8f8ed5053ef9fb08d34f1fd80ff093ccbd1f67f147633a84cf4a7d9b09c0f089", size = 85884, upload-time = "2025-11-29T14:00:38.433Z" },
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