release(checkpoint-postgres): 3.0.5 (#7221)

- [x] **Add tests and docs**:NA

- [x] **Lint and test**:

Additional guidelines:

- Make sure optional dependencies are imported within a function.
- Please do not add dependencies to `pyproject.toml` files (even
optional ones) unless they are **required** for unit tests.
- Most PRs should not touch more than one package.
- Changes should be backwards compatible.

.github/workflows/_integration_test.yml

@@ -117,8 +117,8 @@ jobs:
           timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-h
           echo "Finished starting up langgraph-test-h"
           LANGGRAPH_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langgraph'); print(v);")
-          if [ "$LANGGRAPH_VERSION" != "1.0.8" ]; then
-            echo "LANGGRAPH_VERSION != 1.0.8; $LANGGRAPH_VERSION"
+          if [ "$LANGGRAPH_VERSION" != "1.1.2" ]; then
+            echo "LANGGRAPH_VERSION != 1.1.2; $LANGGRAPH_VERSION"
             exit 1
           fi
           LANGCHAIN_OPENAI_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langchain-openai'); print(v);")

.github/workflows/ci.yml

@@ -30,7 +30,7 @@ jobs:
       deps: ${{ steps.filter.outputs.deps || 'true' }}
     steps:
       - uses: actions/checkout@v6
-      - uses: dorny/paths-filter@v3
+      - uses: dorny/paths-filter@v4
         if: github.event_name != 'workflow_dispatch'
         id: filter
         with:

.markdownlint.json

@@ -0,0 +1,14 @@
+{
+  "MD013": false,
+  "MD024": {
+    "siblings_only": true
+  },
+  "MD025": false,
+  "MD033": false,
+  "MD034": false,
+  "MD036": false,
+  "MD041": false,
+  "MD046": {
+    "style": "fenced"
+  }
+}

README.md

@@ -1,93 +1,81 @@
-<picture class="github-only">
-  <source media="(prefers-color-scheme: light)" srcset=".github/images/logo-light.svg">
-  <source media="(prefers-color-scheme: dark)" srcset=".github/images/logo-dark.svg">
-  <img alt="LangGraph Logo" src=".github/images/logo-dark.svg" width="50%">
-</picture>
-
-<div>
-<br>
+<div align="center">
+  <a href="https://www.langchain.com/langgraph">
+    <picture>
+      <source media="(prefers-color-scheme: dark)" srcset=".github/images/logo-dark.svg">
+      <source media="(prefers-color-scheme: light)" srcset=".github/images/logo-light.svg">
+      <img alt="LangGraph Logo" src=".github/images/logo-dark.svg" width="50%">
+    </picture>
+  </a>
 </div>
 
-[![Version](https://img.shields.io/pypi/v/langgraph.svg)](https://pypi.org/project/langgraph/)
-[![Downloads](https://static.pepy.tech/badge/langgraph/month)](https://pepy.tech/project/langgraph)
-[![Open Issues](https://img.shields.io/github/issues-raw/langchain-ai/langgraph)](https://github.com/langchain-ai/langgraph/issues)
-[![Docs](https://img.shields.io/badge/docs-latest-blue)](https://docs.langchain.com/oss/python/langgraph/overview)
+<div align="center">
+  <h3>Low-level orchestration framework for building stateful agents.</h3>
+</div>
+
+<div align="center">
+  <a href="https://opensource.org/licenses/MIT" target="_blank"><img src="https://img.shields.io/pypi/l/langgraph" alt="PyPI - License"></a>
+  <a href="https://pypistats.org/packages/langgraph" target="_blank"><img src="https://img.shields.io/pepy/dt/langgraph" alt="PyPI - Downloads"></a>
+  <a href="https://pypi.org/project/langgraph/" target="_blank"><img src="https://img.shields.io/pypi/v/langgraph.svg?label=%20" alt="Version"></a>
+  <a href="https://x.com/langchain" target="_blank"><img src="https://img.shields.io/twitter/url/https/twitter.com/langchain.svg?style=social&label=Follow%20%40LangChain" alt="Twitter / X"></a>
+</div>
+
+<br>
 
 Trusted by companies shaping the future of agents – including Klarna, Replit, Elastic, and more – LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents.
 
-## Get started
-
-Install LangGraph:
-
-```
+```bash
 pip install -U langgraph
 ```
 
-Create a simple workflow:
+If you're looking to quickly build agents with LangChain's `create_agent` (built on LangGraph), check out the [LangChain Agents documentation](https://docs.langchain.com/oss/python/langchain/agents).
 
-```python
-from langgraph.graph import START, StateGraph
-from typing_extensions import TypedDict
+> [!NOTE]
+> Looking for the JS/TS library? Check out [LangGraph.js](https://github.com/langchain-ai/langgraphjs) and the [JS docs](https://docs.langchain.com/oss/javascript/langgraph/overview).
 
+## Why use LangGraph?
 
-class State(TypedDict):
-    text: str
+LangGraph provides low-level supporting infrastructure for *any* long-running, stateful workflow or agent:
 
-
-def node_a(state: State) -> dict:
-    return {"text": state["text"] + "a"}
-
-
-def node_b(state: State) -> dict:
-    return {"text": state["text"] + "b"}
-
-
-graph = StateGraph(State)
-graph.add_node("node_a", node_a)
-graph.add_node("node_b", node_b)
-graph.add_edge(START, "node_a")
-graph.add_edge("node_a", "node_b")
-
-print(graph.compile().invoke({"text": ""}))
-# {'text': 'ab'}
-```
-
-Get started with the [LangGraph Quickstart](https://docs.langchain.com/oss/python/langgraph/quickstart).
-
-To quickly build agents with LangChain's `create_agent` (built on LangGraph), see the [LangChain Agents documentation](https://docs.langchain.com/oss/python/langchain/agents).
+- **[Durable execution](https://docs.langchain.com/oss/python/langgraph/durable-execution)** — Build agents that persist through failures and can run for extended periods, automatically resuming from exactly where they left off.
+- **[Human-in-the-loop](https://docs.langchain.com/oss/python/langgraph/interrupts)** — Seamlessly incorporate human oversight by inspecting and modifying agent state at any point during execution.
+- **[Comprehensive memory](https://docs.langchain.com/oss/python/langgraph/memory)** — Create truly stateful agents with both short-term working memory for ongoing reasoning and long-term persistent memory across sessions.
+- **[Debugging with LangSmith](https://www.langchain.com/langsmith)** — Gain deep visibility into complex agent behavior with visualization tools that trace execution paths, capture state transitions, and provide detailed runtime metrics.
+- **[Production-ready deployment](https://docs.langchain.com/langsmith/deployments)** — Deploy sophisticated agent systems confidently with scalable infrastructure designed to handle the unique challenges of stateful, long-running workflows.
 
 > [!TIP]
 > For developing, debugging, and deploying AI agents and LLM applications, see [LangSmith](https://docs.langchain.com/langsmith/home).
 
-## Core benefits
+## LangGraph ecosystem
 
-LangGraph provides low-level supporting infrastructure for *any* long-running, stateful workflow or agent. LangGraph does not abstract prompts or architecture, and provides the following central benefits:
+While LangGraph can be used standalone, it also integrates seamlessly with any LangChain product, giving developers a full suite of tools for building agents.
 
-- [Durable execution](https://docs.langchain.com/oss/python/langgraph/durable-execution): Build agents that persist through failures and can run for extended periods, automatically resuming from exactly where they left off.
-- [Human-in-the-loop](https://docs.langchain.com/oss/python/langgraph/interrupts): Seamlessly incorporate human oversight by inspecting and modifying agent state at any point during execution.
-- [Comprehensive memory](https://docs.langchain.com/oss/python/langgraph/memory): Create truly stateful agents with both short-term working memory for ongoing reasoning and long-term persistent memory across sessions.
-- [Debugging with LangSmith](http://www.langchain.com/langsmith): Gain deep visibility into complex agent behavior with visualization tools that trace execution paths, capture state transitions, and provide detailed runtime metrics.
-- [Production-ready deployment](https://docs.langchain.com/langsmith/app-development): Deploy sophisticated agent systems confidently with scalable infrastructure designed to handle the unique challenges of stateful, long-running workflows.
+To improve your LLM application development, pair LangGraph with:
 
-## LangGraph’s ecosystem
-
-While LangGraph can be used standalone, it also integrates seamlessly with any LangChain product, giving developers a full suite of tools for building agents. To improve your LLM application development, pair LangGraph with:
-
-- [LangSmith](http://www.langchain.com/langsmith) — Helpful for agent evals and observability. Debug poor-performing LLM app runs, evaluate agent trajectories, gain visibility in production, and improve performance over time.
-- [LangSmith Deployment](https://docs.langchain.com/langsmith/deployments) — Deploy and scale agents effortlessly with a purpose-built deployment platform for long running, stateful workflows. Discover, reuse, configure, and share agents across teams — and iterate quickly with visual prototyping in [LangGraph Studio](https://docs.langchain.com/oss/python/langgraph/studio).
+- [Deep Agents](https://github.com/langchain-ai/deepagents) *(new!)* – Build agents that can plan, use subagents, and leverage file systems for complex tasks.
 - [LangChain](https://docs.langchain.com/oss/python/langchain/overview) – Provides integrations and composable components to streamline LLM application development.
+- [LangSmith](https://www.langchain.com/langsmith) – Helpful for agent evals and observability. Debug poor-performing LLM app runs, evaluate agent trajectories, gain visibility in production, and improve performance over time.
+- [LangSmith Deployment](https://docs.langchain.com/langsmith/deployments) – Deploy and scale agents effortlessly with a purpose-built deployment platform for long-running, stateful workflows. Discover, reuse, configure, and share agents across teams – and iterate quickly with visual prototyping in [LangSmith Studio](https://docs.langchain.com/langsmith/studio).
 
-> [!NOTE]
-> Looking for the JS version of LangGraph? See the [JS repo](https://github.com/langchain-ai/langgraphjs) and the [JS docs](https://docs.langchain.com/oss/javascript/langgraph/overview).
+---
+
+## Documentation
+
+- [docs.langchain.com](https://docs.langchain.com/oss/python/langgraph/overview) – Comprehensive documentation, including conceptual overviews and guides
+- [reference.langchain.com/python/langgraph](https://reference.langchain.com/python/langgraph) – API reference docs for LangGraph packages
+- [LangGraph Quickstart](https://docs.langchain.com/oss/python/langgraph/quickstart) – Get started building with LangGraph
+- [Chat LangChain](https://chat.langchain.com/) – Chat with the LangChain documentation and get answers to your questions
+
+**Discussions**: Visit the [LangChain Forum](https://forum.langchain.com) to connect with the community and share all of your technical questions, ideas, and feedback.
 
 ## Additional resources
 
-- [Guides](https://docs.langchain.com/oss/python/langgraph/overview): Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.).
-- [Reference](https://reference.langchain.com/python/langgraph/): Detailed reference on core classes, methods, how to use the graph and checkpointing APIs, and higher-level prebuilt components.
-- [Examples](https://docs.langchain.com/oss/python/langgraph/agentic-rag): Guided examples on getting started with LangGraph.
-- [LangChain Forum](https://forum.langchain.com/): Connect with the community and share all of your technical questions, ideas, and feedback.
-- [LangChain Academy](https://academy.langchain.com/courses/intro-to-langgraph): Learn the basics of LangGraph in our free, structured course.
-- [Case studies](https://www.langchain.com/built-with-langgraph): Hear how industry leaders use LangGraph to ship AI applications at scale.
+- **[Guides](https://docs.langchain.com/oss/python/learn)** – Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.).
+- **[LangChain Academy](https://academy.langchain.com/courses/intro-to-langgraph)** – Learn the basics of LangGraph in our free, structured course.
+- **[Case studies](https://www.langchain.com/built-with-langgraph)** – Hear how industry leaders use LangGraph to ship AI applications at scale.
+- [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview) – Learn how to contribute to LangChain projects and find good first issues.
+- [Code of Conduct](https://github.com/langchain-ai/langchain/?tab=coc-ov-file) – Our community guidelines and standards for participation.
+
+---
 
 ## Acknowledgements
 

libs/checkpoint-conformance/langgraph/checkpoint/conformance/test_utils.py

@@ -89,7 +89,7 @@ async def put_test_checkpoint(
     vals = channel_values or {}
     cv = channel_versions
     if cv is None and vals:
-        cv = {k: 1 for k in vals}
+        cv: ChannelVersions = {k: 1 for k in vals}
         cp["channel_versions"] = cv
     nv = new_versions
     if nv is None:

libs/checkpoint-conformance/uv.lock

@@ -250,15 +250,15 @@ wheels = [
 
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-version = "4.0.0"
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 ]
 
 [[package]]

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

@@ -164,12 +164,11 @@ class AsyncPostgresStore(AsyncBatchedBaseStore, BasePostgresStore[_ainternal.Con
         grouped_ops, num_ops = _group_ops(ops)
         results: list[Result] = [None] * num_ops
 
-        async with _ainternal.get_connection(self.conn) as conn:
-            if self.pipe:
-                async with self.pipe:
-                    await self._execute_batch(grouped_ops, results, conn)
-            else:
-                await self._execute_batch(grouped_ops, results, conn)
+        if self.pipe:
+            async with self.pipe:
+                await self._execute_batch(grouped_ops, results)
+        else:
+            await self._execute_batch(grouped_ops, results)
 
         return results
 
@@ -410,8 +409,10 @@ class AsyncPostgresStore(AsyncBatchedBaseStore, BasePostgresStore[_ainternal.Con
         self,
         grouped_ops: dict,
         results: list[Result],
-        conn: AsyncConnection[DictRow],
+        conn: AsyncConnection[DictRow] | None = None,
     ) -> None:
+        # Keep `conn` for compatibility with subclasses overriding this private hook.
+        # All database I/O goes through `_cursor()`, which owns connection acquisition.
         async with self._cursor(pipeline=True) as cur:
             if GetOp in grouped_ops:
                 await self._batch_get_ops(

libs/checkpoint-postgres/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph-checkpoint-postgres"
-version = "3.0.4"
+version = "3.0.5"
 description = "Library with a Postgres implementation of LangGraph checkpoint saver."
 authors = []
 requires-python = ">=3.10"

libs/checkpoint-postgres/tests/test_async_store.py

@@ -20,6 +20,7 @@ from langgraph.store.base import (
 )
 from psycopg import AsyncConnection
 
+from langgraph.checkpoint.postgres import _ainternal
 from langgraph.store.postgres import AsyncPostgresStore
 from tests.conftest import (
     DEFAULT_URI,
@@ -346,6 +347,59 @@ async def test_batch_list_namespaces_ops(store: AsyncPostgresStore) -> None:
     assert ("test", "namespace2") in results[0]
 
 
+@asynccontextmanager
+async def _create_pool_store() -> AsyncIterator[AsyncPostgresStore]:
+    database = f"test_{uuid.uuid4().hex[:16]}"
+    uri_parts = DEFAULT_URI.split("/")
+    uri_base = "/".join(uri_parts[:-1])
+    query_params = ""
+    if "?" in uri_parts[-1]:
+        _, query_params = uri_parts[-1].split("?", 1)
+        query_params = "?" + query_params
+
+    conn_string = f"{uri_base}/{database}{query_params}"
+    admin_conn_string = DEFAULT_URI
+    async with await AsyncConnection.connect(
+        admin_conn_string, autocommit=True
+    ) as conn:
+        await conn.execute(f"CREATE DATABASE {database}")
+    try:
+        async with AsyncPostgresStore.from_conn_string(
+            conn_string, pool_config={"min_size": 1, "max_size": 1}
+        ) as store:
+            await store.setup()
+            yield store
+    finally:
+        async with await AsyncConnection.connect(
+            admin_conn_string, autocommit=True
+        ) as conn:
+            await conn.execute(f"DROP DATABASE {database}")
+
+
+async def test_abatch_uses_single_pool_checkout(monkeypatch) -> None:
+    async with _create_pool_store() as store:
+        await store.aput(("test",), "key1", {"data": "value1"})
+
+        original_get_connection = _ainternal.get_connection
+        checkout_count = 0
+
+        @asynccontextmanager
+        async def counting_get_connection(conn):
+            nonlocal checkout_count
+            checkout_count += 1
+            async with original_get_connection(conn) as checked_out_conn:
+                yield checked_out_conn
+
+        monkeypatch.setattr(_ainternal, "get_connection", counting_get_connection)
+
+        results = await store.abatch([GetOp(namespace=("test",), key="key1")])
+
+        assert len(results) == 1
+        assert results[0] is not None
+        assert results[0].value == {"data": "value1"}
+        assert checkout_count == 1
+
+
 @asynccontextmanager
 async def _create_vector_store(
     vector_type: str,

libs/checkpoint-postgres/uv.lock

@@ -307,7 +307,7 @@ test = [
 
 [[package]]
 name = "langgraph-checkpoint-postgres"
-version = "3.0.4"
+version = "3.0.5"
 source = { editable = "." }
 dependencies = [
     { name = "langgraph-checkpoint" },
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libs/checkpoint/langgraph/store/base/batch.py

@@ -328,6 +328,9 @@ async def _run(
     store: weakref.ReferenceType[BaseStore],
 ) -> None:
     while item := await aqueue.get():
+        # don't run batch if the future is done (e.g. cancelled)
+        if item[0].done():
+            continue
         # check if store is still alive
         if s := store():
             try:
@@ -335,6 +338,9 @@ async def _run(
                 items = [item]
                 try:
                     while item := aqueue.get_nowait():
+                        # don't insert if the future is done (e.g. cancelled)
+                        if item[0].done():
+                            continue
                         items.append(item)
                 except asyncio.QueueEmpty:
                     pass

libs/checkpoint/uv.lock

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+    { url = "https://files.pythonhosted.org/packages/cb/1e/509a201b843b4dfb0b32acdedf68d951d3377988cae43949ba4c4133a96a/ruff-0.15.6-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:cef49e30bc5a86a6a92098a7fbf6e467a234d90b63305d6f3ec01225a9d092e0", size = 11410976, upload-time = "2026-03-12T23:05:39.955Z" },
+    { url = "https://files.pythonhosted.org/packages/6c/25/3fc9114abf979a41673ce877c08016f8e660ad6cf508c3957f537d2e9fa9/ruff-0.15.6-py3-none-win32.whl", hash = "sha256:bbf67d39832404812a2d23020dda68fee7f18ce15654e96fb1d3ad21a5fe436c", size = 10616872, upload-time = "2026-03-12T23:05:42.451Z" },
+    { url = "https://files.pythonhosted.org/packages/89/7a/09ece68445ceac348df06e08bf75db72d0e8427765b96c9c0ffabc1be1d9/ruff-0.15.6-py3-none-win_amd64.whl", hash = "sha256:aee25bc84c2f1007ecb5037dff75cef00414fdf17c23f07dc13e577883dca406", size = 11787271, upload-time = "2026-03-12T23:05:20.168Z" },
+    { url = "https://files.pythonhosted.org/packages/7f/d0/578c47dd68152ddddddf31cd7fc67dc30b7cdf639a86275fda821b0d9d98/ruff-0.15.6-py3-none-win_arm64.whl", hash = "sha256:c34de3dd0b0ba203be50ae70f5910b17188556630e2178fd7d79fc030eb0d837", size = 11060497, upload-time = "2026-03-12T23:05:25.968Z" },
 ]
 
 [[package]]

libs/cli/examples/graph_prerelease_reqs/deps/additional_deps/pyproject.toml

@@ -5,5 +5,5 @@ description = "Test for prerelease stuff"
 readme = "README.md"
 requires-python = ">=3.10"
 dependencies = [
-  "langgraph==1.0.8"
+  "langgraph==1.1.2"
 ]

libs/cli/examples/graph_prerelease_reqs/pyproject.toml

@@ -7,7 +7,7 @@ requires-python = ">=3.10"
 dependencies = [
   "langchain-openai==1.0.0a2",
   "langchain-anthropic==1.0.0a5",
-  "langgraph==1.0.8"
+  "langgraph==1.1.2"
 ]
 
 [tool.uv]

libs/cli/examples/graph_prerelease_reqs_fail/pyproject.toml

@@ -6,6 +6,6 @@ readme = "README.md"
 requires-python = ">=3.10"
 dependencies = [
   "langchain-openai==1.0.0a2",
-  "langgraph==1.0.0a2",
+  "langgraph==1.1.2",
   "langchain_community>=0.3.0",
 ]

libs/cli/js-examples/package.json

@@ -21,23 +21,23 @@
     "test:all": "yarn test && yarn test:int && yarn lint:langgraph"
   },
   "dependencies": {
-    "@langchain/core": "^1.1.31",
-    "@langchain/langgraph": "^1.2.1"
+    "@langchain/core": "^1.1.32",
+    "@langchain/langgraph": "^1.2.2"
   },
   "devDependencies": {
     "@eslint/eslintrc": "^3.3.5",
     "@eslint/js": "^10.0.1",
     "@tsconfig/recommended": "^1.0.13",
     "@types/jest": "^30.0.0",
-    "@typescript-eslint/eslint-plugin": "^8.56.1",
-    "@typescript-eslint/parser": "^8.56.1",
+    "@typescript-eslint/eslint-plugin": "^8.57.0",
+    "@typescript-eslint/parser": "^8.57.0",
     "dotenv": "^17.3.1",
     "eslint": "^10.0.3",
     "eslint-config-prettier": "^10.1.8",
     "eslint-plugin-import": "^2.32.0",
     "eslint-plugin-no-instanceof": "^1.0.1",
     "eslint-plugin-prettier": "^5.5.5",
-    "jest": "^30.2.0",
+    "jest": "^30.3.0",
     "prettier": "^3.8.1",
     "ts-jest": "^29.4.6",
     "typescript": "^5.9.3"

libs/cli/js-monorepo-example/apps/agent/package.json

@@ -9,8 +9,8 @@
   },
   "dependencies": {
     "@js-monorepo-example/shared": "*",
-    "@langchain/core": "^1.1.31",
-    "@langchain/langgraph": "^1.2.1"
+    "@langchain/core": "^1.1.32",
+    "@langchain/langgraph": "^1.2.2"
   },
   "devDependencies": {
     "typescript": "^5.9.3"

libs/cli/js-monorepo-example/package.json

@@ -17,7 +17,7 @@
     "lint": "eslint 'apps/**/*.ts' 'libs/**/*.ts'"
   },
   "devDependencies": {
-    "turbo": "^2.8.14",
+    "turbo": "^2.8.17",
     "typescript": "^5.9.3",
     "@tsconfig/recommended": "^1.0.13",
     "@eslint/eslintrc": "^3.3.5",
@@ -27,8 +27,8 @@
     "eslint-plugin-import": "^2.27.5",
     "eslint-plugin-no-instanceof": "^1.0.1",
     "eslint-plugin-prettier": "^5.5.5",
-    "@typescript-eslint/eslint-plugin": "^8.56.1",
-    "@typescript-eslint/parser": "^8.56.1",
+    "@typescript-eslint/eslint-plugin": "^8.57.0",
+    "@typescript-eslint/parser": "^8.57.0",
     "prettier": "^3.8.1"
   }
 }

libs/cli/js-monorepo-example/yarn.lock

@@ -103,10 +103,10 @@
   resolved "https://registry.yarnpkg.com/@isaacs/cliui/-/cliui-9.0.0.tgz#4d0a3f127058043bf2e7ee169eaf30ed901302f3"
   integrity sha512-AokJm4tuBHillT+FpMtxQ60n8ObyXBatq7jD2/JA9dxbDDokKQm8KMht5ibGzLVU9IJDIKK4TPKgMHEYMn3lMg==
 
-"@langchain/core@^1.1.31":
-  version "1.1.31"
-  resolved "https://registry.yarnpkg.com/@langchain/core/-/core-1.1.31.tgz#81882c7be8dfe138015da67b93aa73c6ab0f6962"
-  integrity sha512-FxsgIUONjKaRpjx59sISgmb0OMCbAetPGyhzjGa2kX0y1f8LZ5xm9VB2db7W9HYWyLvzRWcMA51Uu4OSTJmtZQ==
+"@langchain/core@^1.1.32":
+  version "1.1.32"
+  resolved "https://registry.yarnpkg.com/@langchain/core/-/core-1.1.32.tgz#a9baf37e5cb40e8b877160d5d03ef3bf6e8e250d"
+  integrity sha512-ZZNiER5tceFXqZOghfrxNHzM60gcQL5XK/8Ow5+o4OuKHrP1p/RUQBDM9Y1nddi/VmKQj+ncaXXM5KovXTEGGQ==
   dependencies:
     "@cfworker/json-schema" "^4.0.2"
     "@standard-schema/spec" "^1.1.0"
@@ -127,23 +127,23 @@
   dependencies:
     uuid "^10.0.0"
 
-"@langchain/langgraph-sdk@~1.6.5":
-  version "1.6.5"
-  resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-1.6.5.tgz#1a089f7412239ffad1c3b52364ba6af694966424"
-  integrity sha512-JjprmbhgCnoNJ9DUKcvrEU+C9FfKsNGyT3ooqWxAY5Cx2qofhXmDJOpTCqqbxfDHPKG0RjTs5HgVK3WW5M6Big==
+"@langchain/langgraph-sdk@~1.7.0":
+  version "1.7.2"
+  resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-1.7.2.tgz#8273ef749082d6e1c7c7e281d75287b2b4deedfa"
+  integrity sha512-8ad5OTwqc15J/DxLNJYLn3IC2mpfow09nxJdszxhwm3KgsolGZIUV6g7m67C2p4j3cbQZD5USHt3hKEL0ahqoA==
   dependencies:
     "@types/json-schema" "^7.0.15"
     p-queue "^9.0.1"
     p-retry "^7.1.1"
     uuid "^13.0.0"
 
-"@langchain/langgraph@^1.2.1":
-  version "1.2.1"
-  resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-1.2.1.tgz#c83bad4754781b39e536fb0e479adb093988433c"
-  integrity sha512-OeLMejye1DZeZBPnurus2bqvjRi+pyrqfAXX77hYdUqKeQ3hAG7pLG04xdrvMs0pl/F57ZtwywqoE2oVqcI6JA==
+"@langchain/langgraph@^1.2.2":
+  version "1.2.2"
+  resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-1.2.2.tgz#747cc0ddb6fe350906c7f982289499f072345701"
+  integrity sha512-1F94azb3b3TpHi5Jxa7gFvAYXuSIsEobEXk3/PD7+gkOobIC5Jty3+/ATSkH7joUo0bXCF/rgMOjRGusi6YvSQ==
   dependencies:
     "@langchain/langgraph-checkpoint" "^1.0.0"
-    "@langchain/langgraph-sdk" "~1.6.5"
+    "@langchain/langgraph-sdk" "~1.7.0"
     "@standard-schema/spec" "1.1.0"
     uuid "^10.0.0"
 
@@ -192,100 +192,100 @@
   resolved "https://registry.yarnpkg.com/@types/uuid/-/uuid-10.0.0.tgz#e9c07fe50da0f53dc24970cca94d619ff03f6f6d"
   integrity sha512-7gqG38EyHgyP1S+7+xomFtL+ZNHcKv6DwNaCZmJmo1vgMugyF3TCnXVg4t1uk89mLNwnLtnY3TpOpCOyp1/xHQ==
 
-"@typescript-eslint/eslint-plugin@^8.56.1":
-  version "8.56.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.56.1.tgz#b1ce606d87221daec571e293009675992f0aae76"
-  integrity sha512-Jz9ZztpB37dNC+HU2HI28Bs9QXpzCz+y/twHOwhyrIRdbuVDxSytJNDl6z/aAKlaRIwC7y8wJdkBv7FxYGgi0A==
+"@typescript-eslint/eslint-plugin@^8.57.0":
+  version "8.57.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.57.0.tgz#6e4085604ab63f55b3dcc61ce2c16965b2c36374"
+  integrity sha512-qeu4rTHR3/IaFORbD16gmjq9+rEs9fGKdX0kF6BKSfi+gCuG3RCKLlSBYzn/bGsY9Tj7KE/DAQStbp8AHJGHEQ==
   dependencies:
     "@eslint-community/regexpp" "^4.12.2"
-    "@typescript-eslint/scope-manager" "8.56.1"
-    "@typescript-eslint/type-utils" "8.56.1"
-    "@typescript-eslint/utils" "8.56.1"
-    "@typescript-eslint/visitor-keys" "8.56.1"
+    "@typescript-eslint/scope-manager" "8.57.0"
+    "@typescript-eslint/type-utils" "8.57.0"
+    "@typescript-eslint/utils" "8.57.0"
+    "@typescript-eslint/visitor-keys" "8.57.0"
     ignore "^7.0.5"
     natural-compare "^1.4.0"
     ts-api-utils "^2.4.0"
 
-"@typescript-eslint/parser@^8.56.1":
-  version "8.56.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/parser/-/parser-8.56.1.tgz#21d13b3d456ffb08614c1d68bb9a4f8d9237cdc7"
-  integrity sha512-klQbnPAAiGYFyI02+znpBRLyjL4/BrBd0nyWkdC0s/6xFLkXYQ8OoRrSkqacS1ddVxf/LDyODIKbQ5TgKAf/Fg==
+"@typescript-eslint/parser@^8.57.0":
+  version "8.57.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/parser/-/parser-8.57.0.tgz#444c57a943e8b04f255cda18a94c8e023b46b08c"
+  integrity sha512-XZzOmihLIr8AD1b9hL9ccNMzEMWt/dE2u7NyTY9jJG6YNiNthaD5XtUHVF2uCXZ15ng+z2hT3MVuxnUYhq6k1g==
   dependencies:
-    "@typescript-eslint/scope-manager" "8.56.1"
-    "@typescript-eslint/types" "8.56.1"
-    "@typescript-eslint/typescript-estree" "8.56.1"
-    "@typescript-eslint/visitor-keys" "8.56.1"
+    "@typescript-eslint/scope-manager" "8.57.0"
+    "@typescript-eslint/types" "8.57.0"
+    "@typescript-eslint/typescript-estree" "8.57.0"
+    "@typescript-eslint/visitor-keys" "8.57.0"
     debug "^4.4.3"
 
-"@typescript-eslint/project-service@8.56.1":
-  version "8.56.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/project-service/-/project-service-8.56.1.tgz#65c8d645f028b927bfc4928593b54e2ecd809244"
-  integrity sha512-TAdqQTzHNNvlVFfR+hu2PDJrURiwKsUvxFn1M0h95BB8ah5jejas08jUWG4dBA68jDMI988IvtfdAI53JzEHOQ==
+"@typescript-eslint/project-service@8.57.0":
+  version "8.57.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/project-service/-/project-service-8.57.0.tgz#2014ed527bcd0eff8aecb7e44879ae3150604ab3"
+  integrity sha512-pR+dK0BlxCLxtWfaKQWtYr7MhKmzqZxuii+ZjuFlZlIGRZm22HnXFqa2eY+90MUz8/i80YJmzFGDUsi8dMOV5w==
   dependencies:
-    "@typescript-eslint/tsconfig-utils" "^8.56.1"
-    "@typescript-eslint/types" "^8.56.1"
+    "@typescript-eslint/tsconfig-utils" "^8.57.0"
+    "@typescript-eslint/types" "^8.57.0"
     debug "^4.4.3"
 
-"@typescript-eslint/scope-manager@8.56.1":
-  version "8.56.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/scope-manager/-/scope-manager-8.56.1.tgz#254df93b5789a871351335dd23e20bc164060f24"
-  integrity sha512-YAi4VDKcIZp0O4tz/haYKhmIDZFEUPOreKbfdAN3SzUDMcPhJ8QI99xQXqX+HoUVq8cs85eRKnD+rne2UAnj2w==
+"@typescript-eslint/scope-manager@8.57.0":
+  version "8.57.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/scope-manager/-/scope-manager-8.57.0.tgz#7d2a2aeaaef2ae70891b21939fadb4cb0b19f840"
+  integrity sha512-nvExQqAHF01lUM66MskSaZulpPL5pgy5hI5RfrxviLgzZVffB5yYzw27uK/ft8QnKXI2X0LBrHJFr1TaZtAibw==
   dependencies:
-    "@typescript-eslint/types" "8.56.1"
-    "@typescript-eslint/visitor-keys" "8.56.1"
+    "@typescript-eslint/types" "8.57.0"
+    "@typescript-eslint/visitor-keys" "8.57.0"
 
-"@typescript-eslint/tsconfig-utils@8.56.1", "@typescript-eslint/tsconfig-utils@^8.56.1":
-  version "8.56.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/tsconfig-utils/-/tsconfig-utils-8.56.1.tgz#1afa830b0fada5865ddcabdc993b790114a879b7"
-  integrity sha512-qOtCYzKEeyr3aR9f28mPJqBty7+DBqsdd63eO0yyDwc6vgThj2UjWfJIcsFeSucYydqcuudMOprZ+x1SpF3ZuQ==
+"@typescript-eslint/tsconfig-utils@8.57.0", "@typescript-eslint/tsconfig-utils@^8.57.0":
+  version "8.57.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/tsconfig-utils/-/tsconfig-utils-8.57.0.tgz#cf2f2822af3887d25dd325b6bea6c3f60a83a0b4"
+  integrity sha512-LtXRihc5ytjJIQEH+xqjB0+YgsV4/tW35XKX3GTZHpWtcC8SPkT/d4tqdf1cKtesryHm2bgp6l555NYcT2NLvA==
 
-"@typescript-eslint/type-utils@8.56.1":
-  version "8.56.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/type-utils/-/type-utils-8.56.1.tgz#7a6c4fabf225d674644931e004302cbbdd2f2e24"
-  integrity sha512-yB/7dxi7MgTtGhZdaHCemf7PuwrHMenHjmzgUW1aJpO+bBU43OycnM3Wn+DdvDO/8zzA9HlhaJ0AUGuvri4oGg==
+"@typescript-eslint/type-utils@8.57.0":
+  version "8.57.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/type-utils/-/type-utils-8.57.0.tgz#2877af4c2e8f0998b93a07dad1c34ce1bb669448"
+  integrity sha512-yjgh7gmDcJ1+TcEg8x3uWQmn8ifvSupnPfjP21twPKrDP/pTHlEQgmKcitzF/rzPSmv7QjJ90vRpN4U+zoUjwQ==
   dependencies:
-    "@typescript-eslint/types" "8.56.1"
-    "@typescript-eslint/typescript-estree" "8.56.1"
-    "@typescript-eslint/utils" "8.56.1"
+    "@typescript-eslint/types" "8.57.0"
+    "@typescript-eslint/typescript-estree" "8.57.0"
+    "@typescript-eslint/utils" "8.57.0"
     debug "^4.4.3"
     ts-api-utils "^2.4.0"
 
-"@typescript-eslint/types@8.56.1", "@typescript-eslint/types@^8.56.1":
-  version "8.56.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/types/-/types-8.56.1.tgz#975e5942bf54895291337c91b9191f6eb0632ab9"
-  integrity sha512-dbMkdIUkIkchgGDIv7KLUpa0Mda4IYjo4IAMJUZ+3xNoUXxMsk9YtKpTHSChRS85o+H9ftm51gsK1dZReY9CVw==
+"@typescript-eslint/types@8.57.0", "@typescript-eslint/types@^8.57.0":
+  version "8.57.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/types/-/types-8.57.0.tgz#4fa5385ffd1cd161fa5b9dce93e0493d491b8dc6"
+  integrity sha512-dTLI8PEXhjUC7B9Kre+u0XznO696BhXcTlOn0/6kf1fHaQW8+VjJAVHJ3eTI14ZapTxdkOmc80HblPQLaEeJdg==
 
-"@typescript-eslint/typescript-estree@8.56.1":
-  version "8.56.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-8.56.1.tgz#3b9e57d8129a860c50864c42188f761bdef3eab0"
-  integrity sha512-qzUL1qgalIvKWAf9C1HpvBjif+Vm6rcT5wZd4VoMb9+Km3iS3Cv9DY6dMRMDtPnwRAFyAi7YXJpTIEXLvdfPxg==
+"@typescript-eslint/typescript-estree@8.57.0":
+  version "8.57.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-8.57.0.tgz#e0e4a89bfebb207de314826df876e2dabc7dea04"
+  integrity sha512-m7faHcyVg0BT3VdYTlX8GdJEM7COexXxS6KqGopxdtkQRvBanK377QDHr4W/vIPAR+ah9+B/RclSW5ldVniO1Q==
   dependencies:
-    "@typescript-eslint/project-service" "8.56.1"
-    "@typescript-eslint/tsconfig-utils" "8.56.1"
-    "@typescript-eslint/types" "8.56.1"
-    "@typescript-eslint/visitor-keys" "8.56.1"
+    "@typescript-eslint/project-service" "8.57.0"
+    "@typescript-eslint/tsconfig-utils" "8.57.0"
+    "@typescript-eslint/types" "8.57.0"
+    "@typescript-eslint/visitor-keys" "8.57.0"
     debug "^4.4.3"
     minimatch "^10.2.2"
     semver "^7.7.3"
     tinyglobby "^0.2.15"
     ts-api-utils "^2.4.0"
 
-"@typescript-eslint/utils@8.56.1":
-  version "8.56.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-8.56.1.tgz#5a86acaf9f1b4c4a85a42effb217f73059f6deb7"
-  integrity sha512-HPAVNIME3tABJ61siYlHzSWCGtOoeP2RTIaHXFMPqjrQKCGB9OgUVdiNgH7TJS2JNIQ5qQ4RsAUDuGaGme/KOA==
+"@typescript-eslint/utils@8.57.0":
+  version "8.57.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-8.57.0.tgz#c7193385b44529b788210d20c94c11de79ad3498"
+  integrity sha512-5iIHvpD3CZe06riAsbNxxreP+MuYgVUsV0n4bwLH//VJmgtt54sQeY2GszntJ4BjYCpMzrfVh2SBnUQTtys2lQ==
   dependencies:
     "@eslint-community/eslint-utils" "^4.9.1"
-    "@typescript-eslint/scope-manager" "8.56.1"
-    "@typescript-eslint/types" "8.56.1"
-    "@typescript-eslint/typescript-estree" "8.56.1"
+    "@typescript-eslint/scope-manager" "8.57.0"
+    "@typescript-eslint/types" "8.57.0"
+    "@typescript-eslint/typescript-estree" "8.57.0"
 
-"@typescript-eslint/visitor-keys@8.56.1":
-  version "8.56.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-8.56.1.tgz#50e03475c33a42d123dc99e63acf1841c0231f87"
-  integrity sha512-KiROIzYdEV85YygXw6BI/Dx4fnBlFQu6Mq4QE4MOH9fFnhohw6wX/OAvDY2/C+ut0I3RSPKenvZJIVYqJNkhEw==
+"@typescript-eslint/visitor-keys@8.57.0":
+  version "8.57.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-8.57.0.tgz#23aea662279bb66209700854453807a119350f85"
+  integrity sha512-zm6xx8UT/Xy2oSr2ZXD0pZo7Jx2XsCoID2IUh9YSTFRu7z+WdwYTRk6LhUftm1crwqbuoF6I8zAFeCMw0YjwDg==
   dependencies:
-    "@typescript-eslint/types" "8.56.1"
+    "@typescript-eslint/types" "8.57.0"
     eslint-visitor-keys "^5.0.0"
 
 acorn-jsx@^5.3.2:
@@ -1850,47 +1850,47 @@ tsconfig-paths@^3.15.0:
     minimist "^1.2.6"
     strip-bom "^3.0.0"
 
-turbo-darwin-64@2.8.14:
-  version "2.8.14"
-  resolved "https://registry.yarnpkg.com/turbo-darwin-64/-/turbo-darwin-64-2.8.14.tgz#80d0d414c3e7738df9eb414b4d7de46a4a6be55f"
-  integrity sha512-9sFi7n2lLfEsGWi5OEoA/eTtQU2BPKtzSYKqufMtDeRmqMT9vKjbv9gJCRkllSVE9BOXA0qXC3diyX8V8rKIKw==
+turbo-darwin-64@2.8.17:
+  version "2.8.17"
+  resolved "https://registry.yarnpkg.com/turbo-darwin-64/-/turbo-darwin-64-2.8.17.tgz#265fe92ca6c923fae0c688b2dbcce5602e121221"
+  integrity sha512-ZFkv2hv7zHpAPEXBF6ouRRXshllOavYc+jjcrYyVHvxVTTwJWsBZwJ/gpPzmOKGvkSjsEyDO5V6aqqtZzwVF+Q==
 
-turbo-darwin-arm64@2.8.14:
-  version "2.8.14"
-  resolved "https://registry.yarnpkg.com/turbo-darwin-arm64/-/turbo-darwin-arm64-2.8.14.tgz#82223469a29f5831ddba7439c31dff4e0e31bb0b"
-  integrity sha512-aS4yJuy6A1PCLws+PJpZP0qCURG8Y5iVx13z/WAbKyeDTY6W6PiGgcEllSaeLGxyn++382ztN/EZH85n2zZ6VQ==
+turbo-darwin-arm64@2.8.17:
+  version "2.8.17"
+  resolved "https://registry.yarnpkg.com/turbo-darwin-arm64/-/turbo-darwin-arm64-2.8.17.tgz#0a0fd172a0ea28cc10e494ccf56f8e44301cdd2d"
+  integrity sha512-5DXqhQUt24ycEryXDfMNKEkW5TBHs+QmU23a2qxXwwFDaJsWcPo2obEhBxxdEPOv7qmotjad+09RGeWCcJ9JDw==
 
-turbo-linux-64@2.8.14:
-  version "2.8.14"
-  resolved "https://registry.yarnpkg.com/turbo-linux-64/-/turbo-linux-64-2.8.14.tgz#98c38fa898ae8f9f693256c0a3abe8852e64b907"
-  integrity sha512-XC6wPUDJkakjhNLaS0NrHDMiujRVjH+naEAwvKLArgqRaFkNxjmyNDRM4eu3soMMFmjym6NTxYaF74rvET+Orw==
+turbo-linux-64@2.8.17:
+  version "2.8.17"
+  resolved "https://registry.yarnpkg.com/turbo-linux-64/-/turbo-linux-64-2.8.17.tgz#d4361e48bb0b3c849200723157ecfa085fe465dd"
+  integrity sha512-KLUbz6w7F73D/Ihh51hVagrKR0/CTsPEbRkvXLXvoND014XJ4BCrQUqSxlQ4/hu+nqp1v5WlM85/h3ldeyujuA==
 
-turbo-linux-arm64@2.8.14:
-  version "2.8.14"
-  resolved "https://registry.yarnpkg.com/turbo-linux-arm64/-/turbo-linux-arm64-2.8.14.tgz#60402c49e31f603d903c7d3d9aa92fbc981ca915"
-  integrity sha512-ChfE7isyVNjZrVSPDwcfqcHLG/FuIBbOFxnt1FM8vSuBGzHAs8AlTdwFNIxlEMJfZ8Ad9mdMxdmsCUPIWiQ6cg==
+turbo-linux-arm64@2.8.17:
+  version "2.8.17"
+  resolved "https://registry.yarnpkg.com/turbo-linux-arm64/-/turbo-linux-arm64-2.8.17.tgz#3fc2d0c93786874651b679ea7a269e3449b2463c"
+  integrity sha512-pJK67XcNJH40lTAjFu7s/rUlobgVXyB3A3lDoq+/JccB3hf+SysmkpR4Itlc93s8LEaFAI4mamhFuTV17Z6wOg==
 
-turbo-windows-64@2.8.14:
-  version "2.8.14"
-  resolved "https://registry.yarnpkg.com/turbo-windows-64/-/turbo-windows-64-2.8.14.tgz#dcf39ef4ffe307fe6e460aa1261cf01e2cf3b723"
-  integrity sha512-FTbIeQL1ycLFW2t9uQNMy+bRSzi3Xhwun/e7ZhFBdM+U0VZxxrtfYEBM9CHOejlfqomk6Jh7aRz0sJoqYn39Hg==
+turbo-windows-64@2.8.17:
+  version "2.8.17"
+  resolved "https://registry.yarnpkg.com/turbo-windows-64/-/turbo-windows-64-2.8.17.tgz#67f45f883fef586f12807d332702fb8009cce1af"
+  integrity sha512-EijeQ6zszDMmGZLP2vT2RXTs/GVi9rM0zv2/G4rNu2SSRSGFapgZdxgW4b5zUYLVaSkzmkpWlGfPfj76SW9yUg==
 
-turbo-windows-arm64@2.8.14:
-  version "2.8.14"
-  resolved "https://registry.yarnpkg.com/turbo-windows-arm64/-/turbo-windows-arm64-2.8.14.tgz#03115f32db5a3980c1e747541aff135d828baf3f"
-  integrity sha512-KgZX12cTyhY030qS7ieT8zRkhZZE2VWJasDFVUSVVn17nR7IShpv68/7j5UqJNeRLIGF1XPK0phsP5V5yw3how==
+turbo-windows-arm64@2.8.17:
+  version "2.8.17"
+  resolved "https://registry.yarnpkg.com/turbo-windows-arm64/-/turbo-windows-arm64-2.8.17.tgz#e3c2a471f6f64e1e4084bd3e51d219cbd6e60608"
+  integrity sha512-crpfeMPkfECd4V1PQ/hMoiyVcOy04+bWedu/if89S15WhOalHZ2BYUi6DOJhZrszY+mTT99OwpOsj4wNfb/GHQ==
 
-turbo@^2.8.14:
-  version "2.8.14"
-  resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.8.14.tgz#182e8427536d981c106a7f9ac0150727e3d08d87"
-  integrity sha512-UCTxeMNYT1cKaHiIFdLCQ7ulI+jw5i5uOnJOrRXsgUD7G3+OjlUjwVd7JfeVt2McWSVGjYA3EVW/v1FSsJ5DtA==
+turbo@^2.8.17:
+  version "2.8.17"
+  resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.8.17.tgz#45abeefe9d2ee06bc69c906e8384514b49822dbc"
+  integrity sha512-YwPsNSqU2f/RXU/+Kcb7cPkPZARxom4+me7LKEdN5jsvy2tpfze3zDZ4EiGrJnvOm9Avu9rK0aaYsP7qZ3iz7A==
   optionalDependencies:
-    turbo-darwin-64 "2.8.14"
-    turbo-darwin-arm64 "2.8.14"
-    turbo-linux-64 "2.8.14"
-    turbo-linux-arm64 "2.8.14"
-    turbo-windows-64 "2.8.14"
-    turbo-windows-arm64 "2.8.14"
+    turbo-darwin-64 "2.8.17"
+    turbo-darwin-arm64 "2.8.17"
+    turbo-linux-64 "2.8.17"
+    turbo-linux-arm64 "2.8.17"
+    turbo-windows-64 "2.8.17"
+    turbo-windows-arm64 "2.8.17"
 
 type-check@^0.4.0, type-check@~0.4.0:
   version "0.4.0"

libs/cli/langgraph_cli/__init__.py

@@ -1 +1 @@
-__version__ = "0.4.15"
+__version__ = "0.4.18"

libs/cli/langgraph_cli/cli.py

@@ -13,6 +13,7 @@ import tempfile
 import time
 from collections.abc import Callable, Sequence
 from contextlib import contextmanager
+from datetime import datetime, timezone
 
 import click
 import click.exceptions
@@ -26,10 +27,11 @@ from langgraph_cli.config import Config
 from langgraph_cli.constants import DEFAULT_CONFIG, DEFAULT_PORT
 from langgraph_cli.docker import DockerCapabilities
 from langgraph_cli.exec import Runner, subp_exec
+from langgraph_cli.helpers import format_log_entry, level_fg, resolve_deployment_id
 from langgraph_cli.host_backend import HostBackendClient, HostBackendError
 from langgraph_cli.progress import Progress
 from langgraph_cli.templates import TEMPLATE_HELP_STRING, create_new
-from langgraph_cli.util import warn_non_wolfi_distro
+from langgraph_cli.util import format_deployments_table, warn_non_wolfi_distro
 from langgraph_cli.version import __version__
 
 RESERVED_ENV_VARS = frozenset(
@@ -287,6 +289,33 @@ OPT_API_VERSION = click.option(
     help="API server version to use for the base image. If unspecified, the latest version will be used.",
 )
 
+OPT_HOST_API_KEY = click.option(
+    "--api-key",
+    envvar="LANGGRAPH_HOST_API_KEY",
+    help=(
+        "API key. Can also be set via LANGGRAPH_HOST_API_KEY, "
+        "LANGSMITH_API_KEY, or LANGCHAIN_API_KEY environment variable or .env file."
+    ),
+)
+
+
+OPT_HOST_DEPLOYMENT_NAME = click.option(
+    "--name",
+    envvar=_DEPLOYMENT_NAME_ENV,
+    help=(
+        "Deployment name. Can also be set via LANGSMITH_DEPLOYMENT_NAME "
+        "environment variable or .env file. Defaults to current directory name "
+        "if --deployment-id is not provided."
+    ),
+)
+
+OPT_HOST_URL = click.option(
+    "--host-url",
+    envvar="LANGGRAPH_HOST_URL",
+    default="https://api.host.langchain.com",
+    hidden=True,
+)
+
 OPT_ENGINE_RUNTIME_MODE = click.option(
     "--engine-runtime-mode",
     type=click.Choice(["combined_queue_worker", "distributed"]),
@@ -295,7 +324,67 @@ OPT_ENGINE_RUNTIME_MODE = click.option(
 )
 
 
-@click.group()
+class NestedHelpGroup(click.Group):
+    """Click group that shows one level of nested subcommands in top-level help."""
+
+    def format_commands(
+        self, ctx: click.Context, formatter: click.HelpFormatter
+    ) -> None:
+        command_entries: list[tuple[str, click.Command]] = []
+        # Collect the top-level commands first, then append one level of nested
+        # subcommands using names like "deploy list" so they show up in the
+        # top-level help output.
+        for command_name in self.list_commands(ctx):
+            command = self.get_command(ctx, command_name)
+            if command is None or command.hidden:
+                continue
+            command_entries.append((command_name, command))
+            if isinstance(command, click.Group):
+                # Build a child context so Click resolves the subcommands the same
+                # way it would for the nested group itself.
+                sub_ctx = click.Context(command, info_name=command_name, parent=ctx)
+                for subcommand_name in command.list_commands(sub_ctx):
+                    subcommand = command.get_command(sub_ctx, subcommand_name)
+                    if subcommand is None or subcommand.hidden:
+                        continue
+                    command_entries.append(
+                        (f"{command_name} {subcommand_name}", subcommand)
+                    )
+
+        # Compute the available width for help text up front so we can truncate
+        # descriptions before handing them to Click. That keeps each command on
+        # a single line instead of allowing wrapped descriptions.
+        command_width = max((len(name) for name, _ in command_entries), default=0)
+        help_width = max(formatter.width - command_width - 6, 10)
+        rows = [
+            (name, command.get_short_help_str(help_width))
+            for name, command in command_entries
+        ]
+
+        if rows:
+            # Render the flattened command list using Click's standard
+            # definition-list formatter so alignment stays consistent with the
+            # rest of the CLI help output.
+            with formatter.section("Commands"):
+                formatter.write_dl(rows)
+
+
+class DeployGroup(NestedHelpGroup):
+    """Group that treats leading '-' args as passthrough docker flags."""
+
+    def parse_args(self, ctx: click.Context, args: list[str]) -> list[str]:
+        result = super().parse_args(ctx, args)
+        if ctx._protected_args and ctx._protected_args[0].startswith("-"):
+            # Click stores the would-be subcommand in _protected_args; if it looks
+            # like an option (e.g. --build-arg) treat it as passthrough docker
+            # args instead of insisting on a nested command.
+            ctx.args = [*ctx._protected_args, *ctx.args]
+            ctx._protected_args = []
+            return ctx.args
+        return result
+
+
+@click.group(cls=NestedHelpGroup)
 @click.version_option(version=__version__, prog_name="LangGraph CLI")
 def cli():
     pass
@@ -593,84 +682,115 @@ def build(
         )
 
 
-@click.option(
-    "--api-key",
-    envvar="LANGGRAPH_HOST_API_KEY",
+def _deploy_base_options(
+    func: Callable | None = None,
+    *,
+    include_docker_args: bool = True,
+    validate_config_path: bool = True,
+):
+    """Apply shared deploy flags.
+
+    The group shares most options but should not consume subcommands, so the
+    docker build args are only attached when requested.
+    """
+
+    def _apply(target: Callable) -> Callable:
+        decorators = [
+            OPT_HOST_API_KEY,
+            OPT_HOST_DEPLOYMENT_NAME,
+            click.option(
+                "--deployment-id",
+                help=(
+                    "ID of an existing deployment to update. If omitted, "
+                    "--name is used to find or create the deployment."
+                ),
+            ),
+            click.option(
+                "--deployment-type",
+                type=click.Choice(["dev", "prod"]),
+                default="dev",
+                show_default=True,
+                help="Deployment type (used when creating a new deployment).",
+            ),
+            click.option(
+                "--no-wait",
+                is_flag=True,
+                default=False,
+                help="Skip waiting for deployment status.",
+            ),
+            OPT_VERBOSE,
+            OPT_HOST_URL,
+            click.option("--image-name", hidden=True),
+            click.option(
+                "--tag",
+                "-t",
+                default="latest",
+                show_default=True,
+                help="Tag to use for the pushed deployment image.",
+            ),
+            click.option(
+                "--config",
+                "-c",
+                default=DEFAULT_CONFIG,
+                hidden=True,
+                type=click.Path(
+                    exists=validate_config_path,
+                    file_okay=True,
+                    dir_okay=False,
+                    resolve_path=True,
+                    path_type=pathlib.Path,
+                ),
+            ),
+            click.option("--pull/--no-pull", default=True, hidden=True),
+            click.option("--base-image", hidden=True),
+            click.option("--install-command", hidden=True),
+            click.option("--build-command", hidden=True),
+            click.option("--api-version", type=str, hidden=True),
+        ]
+        if include_docker_args:
+            # Only attach build args to the default command; on the group they
+            # would capture subcommand names like `list` before Click resolves
+            # them, making those subcommands unreachable.
+            decorators.append(
+                click.argument("docker_build_args", nargs=-1, type=click.UNPROCESSED)
+            )
+        for decorator in reversed(decorators):
+            target = decorator(target)
+        return target
+
+    return _apply(func) if func is not None else _apply
+
+
+@cli.group(
+    cls=DeployGroup,
     help=(
-        "API key. Can also be set via LANGGRAPH_HOST_API_KEY, "
-        "LANGSMITH_API_KEY, or LANGCHAIN_API_KEY environment variable or .env file."
-    ),
-)
-@click.option(
-    "--name",
-    envvar="LANGSMITH_DEPLOYMENT_NAME",
-    help=(
-        "Deployment name. Can also be set via LANGSMITH_DEPLOYMENT_NAME "
-        "environment variable or .env file. Defaults to current directory name "
-        "if --deployment-id is not provided."
-    ),
-)
-@click.option(
-    "--deployment-id",
-    help=(
-        "ID of an existing deployment to update. If omitted, "
-        "--name is used to find or create the deployment."
-    ),
-)
-@click.option(
-    "--deployment-type",
-    type=click.Choice(["dev", "prod"]),
-    default="dev",
-    show_default=True,
-    help="Deployment type (used when creating a new deployment).",
-)
-@click.option(
-    "--no-wait",
-    is_flag=True,
-    default=False,
-    help="Skip waiting for deployment status.",
-)
-@OPT_VERBOSE
-@click.option(
-    "--host-url",
-    envvar="LANGGRAPH_HOST_URL",
-    default="https://api.host.langchain.com",
-    hidden=True,
-)
-@click.option("--image-name", hidden=True)
-@click.option("--image-tag", default="latest", hidden=True)
-@click.option(
-    "--config",
-    "-c",
-    default=DEFAULT_CONFIG,
-    hidden=True,
-    type=click.Path(
-        exists=True,
-        file_okay=True,
-        dir_okay=False,
-        resolve_path=True,
-        path_type=pathlib.Path,
-    ),
-)
-@click.option("--pull/--no-pull", default=True, hidden=True)
-@click.option("--base-image", hidden=True)
-@click.option("--install-command", hidden=True)
-@click.option("--build-command", hidden=True)
-@click.option("--api-version", type=str, hidden=True)
-@click.argument("docker_build_args", nargs=-1, type=click.UNPROCESSED)
-@cli.command(
-    help=(
-        "[Beta] Build and deploy a LangGraph image to LangSmith Deployments.\n\n"
+        "[Beta] Build and deploy a LangGraph image to LangSmith Deployment.\n\n"
         "This command is in beta and under active development. "
         "Expect frequent updates and improvements.\n\n"
         "Run from the root of your LangGraph project (where langgraph.json "
         "is located). This command also accepts build flags (--base-image, "
-        "--pull, etc.). See 'langgraph build --help' for details."
+        "--config, --pull, etc.). See 'langgraph build --help' for details."
     ),
-    context_settings=dict(ignore_unknown_options=True),
+    context_settings=dict(ignore_unknown_options=True, allow_extra_args=True),
+    invoke_without_command=True,  # allow `deploy` click group to execute without command
 )
+@_deploy_base_options(include_docker_args=False, validate_config_path=False)
+@click.pass_context
 @log_command
-def deploy(
+def deploy(ctx: click.Context, **_: object):
+    # We register deploy as both a group and a command here.
+    # if we detect no subcommand, we run _deploy (basically run langgraph deploy as a top level command)
+    # otherwise, we return None here and click will proceed to actually run the subcommand (list or delete)
+    if ctx.invoked_subcommand is not None:
+        return
+    docker_build_args = tuple(ctx.args)
+    ctx.args = []  # Prevent Click from re-processing passthrough args later.
+    return ctx.forward(_deploy, docker_build_args=docker_build_args)
+
+
+@_deploy_base_options()
+@click.command(context_settings=dict(ignore_unknown_options=True))
+def _deploy(
     config: pathlib.Path,
     pull: bool,
     verbose: bool,
@@ -681,7 +801,7 @@ def deploy(
     deployment_type: str,
     name: str | None,
     image_name: str | None,
-    image_tag: str,
+    tag: str,
     base_image: str | None,
     install_command: str | None,
     build_command: str | None,
@@ -698,15 +818,6 @@ def deploy(
 
     env_vars = _parse_env_from_config(config_json, config)
 
-    if not api_key:
-        for key_name in _API_KEY_ENV_NAMES:
-            val = env_vars.get(key_name) or os.environ.get(key_name)
-            if val:
-                api_key = val
-                break
-    if not api_key:
-        api_key = click.prompt("Host API key", hide_input=True)
-
     if not deployment_id and not name:
         name = env_vars.get(_DEPLOYMENT_NAME_ENV)
     if not deployment_id and not name:
@@ -743,55 +854,21 @@ def deploy(
         def log_step(message: str) -> None:
             click.secho(message, fg="cyan")
 
-        client = HostBackendClient(host_url, api_key)
+        client = _create_host_backend_client(host_url, api_key, env_vars=env_vars)
         step = 1
         needs_creation = False
 
         if deployment_id:
             log_step(f"{step}. Using deployment {deployment_id}")
-            try:
-                client.get_deployment(deployment_id)
-            except HostBackendError as err:
-                if (
-                    err.status_code == 403
-                    and "requires workspace specification" in err.message
-                ):
-                    click.secho(
-                        "Your API key is org-scoped and requires a workspace ID.",
-                        fg="yellow",
-                    )
-                    click.secho(
-                        "Find your workspace ID in LangSmith under Settings > Workspaces.",
-                        fg="yellow",
-                    )
-                    tenant_id = click.prompt("Workspace ID")
-                    client = HostBackendClient(host_url, api_key, tenant_id=tenant_id)
-                    client.get_deployment(deployment_id)
-                else:
-                    raise
+            _call_host_backend_with_optional_tenant(
+                client, lambda c: c.get_deployment(deployment_id)
+            )
             step += 1
         else:
             log_step(f"{step}. Looking up deployment '{name}'")
-            try:
-                existing = client.list_deployments(name_contains=name)
-            except HostBackendError as err:
-                if (
-                    err.status_code == 403
-                    and "requires workspace specification" in err.message
-                ):
-                    click.secho(
-                        "Your API key is org-scoped and requires a workspace ID.",
-                        fg="yellow",
-                    )
-                    click.secho(
-                        "Find your workspace ID in LangSmith under Settings > Workspaces.",
-                        fg="yellow",
-                    )
-                    tenant_id = click.prompt("Workspace ID")
-                    client = HostBackendClient(host_url, api_key, tenant_id=tenant_id)
-                    existing = client.list_deployments(name_contains=name)
-                else:
-                    raise
+            existing = _call_host_backend_with_optional_tenant(
+                client, lambda c: c.list_deployments(name_contains=name)
+            )
             found_id = None
             if isinstance(existing, dict):
                 for dep in existing.get("resources", []):
@@ -905,7 +982,7 @@ def deploy(
             normalized_registry = normalized_registry.split("//", 1)[1]
         repo_seed = image_name or name or config.parent.name
         repo_name = _normalize_image_name(repo_seed)
-        tag_value = _normalize_image_tag(image_tag)
+        tag_value = _normalize_image_tag(tag)
         remote_image = f"{normalized_registry}/{repo_name}:{tag_value}"
 
         registry_host = normalized_registry.split("/")[0]
@@ -1045,11 +1122,147 @@ def deploy(
                 )
             else:
                 click.secho(
-                    "   Check status in the LangSmith Deployments dashboard.",
+                    "   Check status in the LangSmith Deployment dashboard.",
                     fg="yellow",
                 )
 
 
+def _create_host_backend_client(
+    host_url: str | None,
+    api_key: str | None,
+    env_vars: dict[str, str] | None = None,
+) -> HostBackendClient:
+    if env_vars is None:
+        env_vars = _parse_env_from_config({}, pathlib.Path.cwd() / DEFAULT_CONFIG)
+    resolved_api_key = api_key
+    if not resolved_api_key:
+        for key_name in _API_KEY_ENV_NAMES:
+            val = env_vars.get(key_name)
+            if val:
+                resolved_api_key = val
+                break
+            val = os.environ.get(key_name)
+            if val:
+                resolved_api_key = val
+                break
+    if not resolved_api_key:
+        click.secho(
+            "No LangSmith API key found. Create one at Settings > API Keys in LangSmith.",
+            fg="yellow",
+        )
+        resolved_api_key = click.prompt("Enter LangSmith API key", hide_input=True)
+    return HostBackendClient(host_url, resolved_api_key)
+
+
+def _call_host_backend_with_optional_tenant(
+    client: HostBackendClient,
+    operation: Callable[[HostBackendClient], object],
+) -> object:
+    """Run *operation*, prompting for a workspace ID on org-scoped 403s.
+
+    On success the original *client* is returned as-is.  If the user is
+    prompted for a workspace ID, the tenant header is set on *client*
+    in-place so all subsequent calls through the same instance are
+    tenant-aware.
+    """
+    prompted_for_tenant = False
+
+    while True:
+        try:
+            return operation(client)
+        except HostBackendError as err:
+            if (
+                not prompted_for_tenant
+                and err.status_code == 403
+                and "requires workspace specification" in err.message
+            ):
+                click.secho(
+                    "Your API key is org-scoped and requires a workspace ID.",
+                    fg="yellow",
+                )
+                click.secho(
+                    "Find your workspace ID in LangSmith under Settings > Workspaces.",
+                    fg="yellow",
+                )
+                client._client.headers["X-Tenant-ID"] = click.prompt("Workspace ID")
+                prompted_for_tenant = True
+                continue
+            if err.status_code == 403 and "not enabled" in err.message.lower():
+                from urllib.parse import urlparse
+
+                smith_host = "smith.langchain.com"
+                parsed = urlparse(client._base_url)
+                if (parsed.hostname or "").startswith("eu."):
+                    smith_host = "eu.smith.langchain.com"
+                raise HostBackendError(
+                    "LangSmith Deployment is not enabled for this organization. "
+                    f"Enable it at https://{smith_host}/host/deployments"
+                    " (ensure this matches the organization for your API key).",
+                    status_code=403,
+                ) from None
+            raise
+
+
+@OPT_HOST_API_KEY
+@OPT_HOST_URL
+@click.option(
+    "--name-contains",
+    default="",
+    help="Only show deployments whose names contain this value.",
+)
+@deploy.command("list", help="[Beta] List LangSmith Deployments.")
+def deploy_list(api_key: str | None, host_url: str | None, name_contains: str) -> None:
+    client = _create_host_backend_client(host_url, api_key)
+    response = _call_host_backend_with_optional_tenant(
+        client,
+        lambda c: c.list_deployments(name_contains=name_contains),
+    )
+    resources = response.get("resources", []) if isinstance(response, dict) else []
+    deployments = [item for item in resources if isinstance(item, dict)]
+    if not deployments:
+        click.echo("No deployments found.")
+        return
+    click.echo(format_deployments_table(deployments))
+
+
+@OPT_HOST_API_KEY
+@OPT_HOST_URL
+@click.option(
+    "--force",
+    is_flag=True,
+    default=False,
+    help="Delete without prompting for confirmation.",
+)
+@click.argument("deployment_id")
+@deploy.command(
+    "delete",
+    help=(
+        "[Beta] Delete a LangSmith Deployment.\n\n"
+        "Use the `deploy list` command to list deployment IDs."
+    ),
+)
+def deploy_delete(
+    api_key: str | None, host_url: str | None, force: bool, deployment_id: str
+) -> None:
+    if not force:
+        response = click.prompt(
+            click.style(
+                f"Are you sure you want to delete deployment ID {deployment_id}? (Y/n)",
+                fg="yellow",
+            ),
+            default="Y",
+            show_default=False,
+        )
+        if response.strip().lower() not in {"y", "yes"}:
+            raise click.Abort()
+    client = _create_host_backend_client(host_url, api_key)
+    _call_host_backend_with_optional_tenant(
+        client,
+        lambda c: c.delete_deployment(deployment_id),
+    )
+    click.secho(f"Deleted deployment {deployment_id}.", fg="green")
+
+
 def _normalize_image_name(value: str | None) -> str:
     """Sanitize a deployment/directory name into a valid Docker repository name.
 
@@ -1076,6 +1289,180 @@ def _normalize_image_tag(value: str) -> str:
     return value
 
 
+@OPT_HOST_API_KEY
+@OPT_HOST_DEPLOYMENT_NAME
+@click.option(
+    "--deployment-id",
+    help="Deployment ID. If omitted, --name is used to find the deployment.",
+)
+@click.option(
+    "--type",
+    "log_type",
+    type=click.Choice(["deploy", "build"]),
+    default="deploy",
+    show_default=True,
+    help=(
+        "Log stream to fetch: 'deploy' shows agent server runtime logs; "
+        "'build' shows build logs (for deployments built remotely)."
+    ),
+)
+@click.option(
+    "--revision-id",
+    help="Specific revision ID. For build logs, defaults to latest revision.",
+)
+@click.option(
+    "--level",
+    type=click.Choice(
+        ["DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"], case_sensitive=False
+    ),
+    help="Filter by log level.",
+)
+@click.option(
+    "--limit",
+    type=int,
+    default=100,
+    show_default=True,
+    help="Max log entries to fetch.",
+)
+@click.option(
+    "--query",
+    "-q",
+    help="Search string filter.",
+)
+@click.option(
+    "--start-time",
+    help="ISO8601 start time (e.g. 2026-03-08T00:00:00Z).",
+)
+@click.option(
+    "--end-time",
+    help="ISO8601 end time. (e.g. 2026-03-08T00:00:00Z)",
+)
+@click.option(
+    "--follow",
+    "-f",
+    is_flag=True,
+    default=False,
+    help="Continuously poll for new logs.",
+)
+@OPT_HOST_URL
+@deploy.command(
+    "logs",
+    help=(
+        "[Beta] Fetch LangSmith Deployment logs. Use 'deploy' for agent runtime "
+        "logs, or 'build' for remote build logs."
+    ),
+)
+@log_command
+def deploy_logs(
+    api_key: str | None,
+    name: str | None,
+    deployment_id: str | None,
+    log_type: str,
+    revision_id: str | None,
+    level: str | None,
+    limit: int,
+    query: str | None,
+    start_time: str | None,
+    end_time: str | None,
+    follow: bool,
+    host_url: str,
+):
+    env_vars = _parse_env_from_config({}, pathlib.Path.cwd() / DEFAULT_CONFIG)
+    client = _create_host_backend_client(host_url, api_key, env_vars=env_vars)
+    if not deployment_id and not name:
+        name = env_vars.get(_DEPLOYMENT_NAME_ENV)
+    dep_id = _call_host_backend_with_optional_tenant(
+        client, lambda c: resolve_deployment_id(c, deployment_id, name)
+    )
+
+    if log_type == "build" and not revision_id:
+        revisions_resp = client.list_revisions(dep_id, limit=1)
+        resources = (
+            revisions_resp.get("resources", [])
+            if isinstance(revisions_resp, dict)
+            else []
+        )
+        if not resources:
+            raise click.ClickException(
+                "No revisions found for this deployment. Cannot fetch build logs."
+            )
+        revision_id = str(resources[0]["id"])
+        click.secho(f"Using latest revision: {revision_id}", fg="cyan")
+
+    payload: dict = {"limit": limit, "order": "desc"}
+    if level:
+        payload["level"] = level.upper()
+    if query:
+        payload["query"] = query
+    if start_time:
+        payload["start_time"] = start_time
+    if end_time:
+        payload["end_time"] = end_time
+
+    def _fetch(request_payload: dict) -> list[dict]:
+        if log_type == "build":
+            resp = client.get_build_logs(dep_id, revision_id, request_payload)
+        else:
+            resp = client.get_deploy_logs(dep_id, request_payload, revision_id)
+
+        if isinstance(resp, dict):
+            return resp.get("logs", [])
+        return []
+
+    def _print_entries(entries: list[dict], *, reverse: bool = False) -> None:
+        iterable = reversed(entries) if reverse else entries
+        for entry in iterable:
+            line = format_log_entry(entry)
+            fg = level_fg(entry.get("level", ""))
+            click.secho(line, fg=fg)
+
+    def _fetch_and_print(request_payload: dict, *, reverse: bool = False) -> list[dict]:
+        entries = _fetch(request_payload)
+        _print_entries(entries, reverse=reverse)
+        return entries
+
+    def _fetch_and_print_new(request_payload: dict, seen_ids: set[str]) -> list[dict]:
+        entries = _fetch(request_payload)
+        new = [e for e in entries if e.get("id", "") not in seen_ids]
+        if new:
+            _print_entries(new)
+            seen_ids.update(e.get("id", "") for e in new)
+        return new
+
+    # initial log fetch will be newest -> oldest, so we need to reverse
+    entries = _fetch_and_print(payload, reverse=True)
+
+    if not follow:
+        if not entries:
+            click.secho("No log entries found.", fg="yellow")
+        return
+
+    payload["order"] = "asc"
+    seen_ids: set[str] = {e.get("id", "") for e in entries if e.get("id")}
+
+    def _update_start_time(ts) -> None:
+        if ts is None:
+            return
+        if isinstance(ts, (int, float)):
+            dt = datetime.fromtimestamp(ts / 1000, tz=timezone.utc)
+            payload["start_time"] = dt.isoformat()
+        else:
+            payload["start_time"] = str(ts)
+
+    if entries:
+        # entries are in descending order here, so index 0 is the newest log
+        _update_start_time(entries[0].get("timestamp"))
+
+    try:
+        while True:
+            time.sleep(2)
+            new_entries = _fetch_and_print_new(payload, seen_ids)
+            if new_entries:
+                _update_start_time(new_entries[-1].get("timestamp"))
+    except KeyboardInterrupt:
+        click.echo("\nStopped.")
+
+
 def _get_docker_ignore_content() -> str:
     """Return the content of a .dockerignore file.
 

libs/cli/langgraph_cli/helpers.py

@@ -0,0 +1,59 @@
+"""Helpers for the ``langgraph logs`` CLI command."""
+
+from __future__ import annotations
+
+from datetime import datetime, timezone
+
+import click
+
+from langgraph_cli.host_backend import HostBackendClient
+
+
+def resolve_deployment_id(
+    client: HostBackendClient,
+    deployment_id: str | None,
+    name: str | None,
+) -> str:
+    """Resolve a deployment ID from --deployment-id or --name."""
+    if deployment_id:
+        return deployment_id
+    if not name:
+        raise click.UsageError("Either --deployment-id or --name is required.")
+    existing = client.list_deployments(name_contains=name)
+    if isinstance(existing, dict):
+        for dep in existing.get("resources", []):
+            if isinstance(dep, dict) and dep.get("name") == name:
+                found_id = dep.get("id")
+                if found_id:
+                    return str(found_id)
+    raise click.ClickException(f"Deployment '{name}' not found.")
+
+
+def format_timestamp(ts) -> str:
+    """Convert a timestamp (epoch ms or string) to a readable string."""
+    if isinstance(ts, (int, float)):
+        dt = datetime.fromtimestamp(ts / 1000, tz=timezone.utc)
+        return dt.strftime("%Y-%m-%d %H:%M:%S")
+    return str(ts) if ts else ""
+
+
+def format_log_entry(entry: dict) -> str:
+    """Format a single log entry for display."""
+    ts = format_timestamp(entry.get("timestamp", ""))
+    level = entry.get("level", "")
+    message = entry.get("message", "")
+    if ts and level:
+        return f"[{ts}] [{level}] {message}"
+    elif ts:
+        return f"[{ts}] {message}"
+    return message
+
+
+def level_fg(level: str) -> str | None:
+    """Return click color for a log level."""
+    level_upper = level.upper() if level else ""
+    if level_upper in {"ERROR", "CRITICAL"}:
+        return "red"
+    if level_upper == "WARNING":
+        return "yellow"
+    return None

libs/cli/langgraph_cli/host_backend.py

@@ -19,7 +19,12 @@ class HostBackendError(click.ClickException):
 class HostBackendClient:
     """Minimal JSON HTTP client for the host backend deployment service."""
 
-    def __init__(self, base_url: str, api_key: str, tenant_id: str | None = None):
+    def __init__(
+        self,
+        base_url: str,
+        api_key: str,
+        tenant_id: str | None = None,
+    ):
         if not base_url:
             raise click.UsageError("Host backend URL is required")
         transport = httpx.HTTPTransport(retries=3)
@@ -30,7 +35,6 @@ class HostBackendClient:
         if tenant_id:
             headers["X-Tenant-ID"] = tenant_id
         self._base_url = base_url.rstrip("/")
-        self._api_key = api_key
         self._client = httpx.Client(
             base_url=self._base_url,
             headers=headers,
@@ -39,10 +43,14 @@ class HostBackendClient:
         )
 
     def _request(
-        self, method: str, path: str, payload: dict[str, Any] | None = None
+        self,
+        method: str,
+        path: str,
+        payload: dict[str, Any] | None = None,
+        params: dict[str, Any] | None = None,
     ) -> Any:
         try:
-            resp = self._client.request(method, path, json=payload)
+            resp = self._client.request(method, path, json=payload, params=params)
             resp.raise_for_status()
         except httpx.HTTPStatusError as err:
             detail = err.response.text or str(err.response.status_code)
@@ -65,12 +73,19 @@ class HostBackendClient:
     def create_deployment(self, payload: dict[str, Any]) -> dict[str, Any]:
         return self._request("POST", "/v2/deployments", payload)
 
-    def list_deployments(self, name_contains: str) -> dict[str, Any]:
-        return self._request("GET", f"/v2/deployments?name_contains={name_contains}")
+    def list_deployments(self, name_contains: str = "") -> dict[str, Any]:
+        return self._request(
+            "GET",
+            "/v2/deployments",
+            params={"name_contains": name_contains},
+        )
 
     def get_deployment(self, deployment_id: str) -> dict[str, Any]:
         return self._request("GET", f"/v2/deployments/{deployment_id}")
 
+    def delete_deployment(self, deployment_id: str) -> None:
+        return self._request("DELETE", f"/v2/deployments/{deployment_id}")
+
     def request_push_token(self, deployment_id: str) -> dict[str, Any]:
         return self._request(
             "POST",
@@ -105,3 +120,24 @@ class HostBackendClient:
             "GET",
             f"/v2/deployments/{deployment_id}/revisions/{revision_id}",
         )
+
+    def get_build_logs(
+        self, project_id: str, revision_id: str, payload: dict[str, Any]
+    ) -> Any:
+        return self._request(
+            "POST",
+            f"/v1/projects/{project_id}/revisions/{revision_id}/build_logs",
+            payload,
+        )
+
+    def get_deploy_logs(
+        self,
+        project_id: str,
+        payload: dict[str, Any],
+        revision_id: str | None = None,
+    ) -> Any:
+        if revision_id:
+            path = f"/v1/projects/{project_id}/revisions/{revision_id}/deploy_logs"
+        else:
+            path = f"/v1/projects/{project_id}/deploy_logs"
+        return self._request("POST", path, payload)

libs/cli/langgraph_cli/templates.py

@@ -8,31 +8,20 @@ from zipfile import ZipFile
 import click
 
 TEMPLATES: dict[str, dict[str, str]] = {
+    "Deep Agent": {
+        "description": "An opinionated deployment template for a Deep Agent.",
+        "python": "https://github.com/langchain-ai/deep-agent-template/archive/refs/heads/main.zip",
+        "js": "https://github.com/langchain-ai/deep-agent-template-js/archive/refs/heads/main.zip",
+    },
+    "Agent": {
+        "description": "A simple agent that can be flexibly extended to many tools.",
+        "python": "https://github.com/langchain-ai/simple-agent-template/archive/refs/heads/main.zip",
+    },
     "New LangGraph Project": {
         "description": "A simple, minimal chatbot with memory.",
         "python": "https://github.com/langchain-ai/new-langgraph-project/archive/refs/heads/main.zip",
         "js": "https://github.com/langchain-ai/new-langgraphjs-project/archive/refs/heads/main.zip",
     },
-    "ReAct Agent": {
-        "description": "A simple agent that can be flexibly extended to many tools.",
-        "python": "https://github.com/langchain-ai/react-agent/archive/refs/heads/main.zip",
-        "js": "https://github.com/langchain-ai/react-agent-js/archive/refs/heads/main.zip",
-    },
-    "Memory Agent": {
-        "description": "A ReAct-style agent with an additional tool to store memories for use across conversational threads.",
-        "python": "https://github.com/langchain-ai/memory-agent/archive/refs/heads/main.zip",
-        "js": "https://github.com/langchain-ai/memory-agent-js/archive/refs/heads/main.zip",
-    },
-    "Retrieval Agent": {
-        "description": "An agent that includes a retrieval-based question-answering system.",
-        "python": "https://github.com/langchain-ai/retrieval-agent-template/archive/refs/heads/main.zip",
-        "js": "https://github.com/langchain-ai/retrieval-agent-template-js/archive/refs/heads/main.zip",
-    },
-    "Data-enrichment Agent": {
-        "description": "An agent that performs web searches and organizes its findings into a structured format.",
-        "python": "https://github.com/langchain-ai/data-enrichment/archive/refs/heads/main.zip",
-        "js": "https://github.com/langchain-ai/data-enrichment-js/archive/refs/heads/main.zip",
-    },
 }
 
 # Generate TEMPLATE_IDS programmatically
@@ -78,19 +67,25 @@ def _choose_template() -> str:
         click.secho("❌ Invalid choice. Please try again.", fg="red")
         return _choose_template()
 
-    # Prompt the user to choose between Python or JS/TS version
+    template_info = TEMPLATES[selected_template]
+    available_langs = [lang for lang in ("python", "js") if lang in template_info]
+
     click.secho(
-        f"\nYou selected: {selected_template} - {TEMPLATES[selected_template]['description']}",
+        f"\nYou selected: {selected_template} - {template_info['description']}",
         fg="green",
     )
+
+    if len(available_langs) == 1:
+        return template_info[available_langs[0]]
+
     version_choice: int = click.prompt(
         "Choose language (1 for Python 🐍, 2 for JS/TS 🌐)", type=int
     )
 
     if version_choice == 1:
-        return TEMPLATES[selected_template]["python"]
+        return template_info["python"]
     elif version_choice == 2:
-        return TEMPLATES[selected_template]["js"]
+        return template_info["js"]
     else:
         click.secho("❌ Invalid choice. Please try again.", fg="red")
         return _choose_template()
@@ -130,37 +125,6 @@ def _download_repo_with_requests(repo_url: str, path: str) -> None:
         sys.exit(1)
 
 
-def _get_template_url(template_name: str) -> str | None:
-    """
-    Retrieves the template URL based on the provided template name.
-
-    Args:
-        template_name: The name of the template.
-
-    Returns:
-        Optional[str]: The URL of the template if found, else None.
-    """
-    if template_name in TEMPLATES:
-        click.secho(f"Template selected: {template_name}", fg="green")
-        version_choice: int = click.prompt(
-            "Choose version (1 for Python 🐍, 2 for JS/TS 🌐)", type=int
-        )
-
-        if version_choice == 1:
-            return TEMPLATES[template_name]["python"]
-        elif version_choice == 2:
-            return TEMPLATES[template_name]["js"]
-        else:
-            click.secho("❌ Invalid choice. Please try again.", fg="red")
-            return None
-    else:
-        click.secho(
-            f"Template '{template_name}' not found. Please select from the available options.",
-            fg="red",
-        )
-        return None
-
-
 def create_new(path: str | None, template: str | None) -> None:
     """Create a new LangGraph project at the specified PATH using the chosen TEMPLATE.
 

libs/cli/langgraph_cli/util.py

@@ -1,3 +1,5 @@
+from collections.abc import Sequence
+
 import click
 
 
@@ -23,3 +25,35 @@ def warn_non_wolfi_distro(config_json: dict) -> None:
             fg="yellow",
         )
         click.secho("")  # Empty line for better readability
+
+
+def _extract_deployment_url(deployment: dict[str, object]) -> str:
+    source_config = deployment.get("source_config")
+    if isinstance(source_config, dict):
+        custom_url = source_config.get("custom_url")
+        if isinstance(custom_url, str) and custom_url:
+            return custom_url
+    return "-"
+
+
+def format_deployments_table(deployments: Sequence[dict[str, object]]) -> str:
+    headers = ("Deployment ID", "Deployment Name", "Deployment URL")
+    rows = [
+        (
+            str(deployment.get("id", "-") or "-"),
+            str(deployment.get("name", "-") or "-"),
+            _extract_deployment_url(deployment),
+        )
+        for deployment in deployments
+    ]
+    widths = [
+        max(len(headers[index]), *(len(row[index]) for row in rows))
+        for index in range(len(headers))
+    ]
+
+    def format_row(row: Sequence[str]) -> str:
+        return "  ".join(value.ljust(widths[index]) for index, value in enumerate(row))
+
+    lines = [format_row(headers), format_row(tuple("-" * width for width in widths))]
+    lines.extend(format_row(row) for row in rows)
+    return "\n".join(lines)

libs/cli/tests/unit_tests/cli/test_cli.py

@@ -9,6 +9,7 @@ from pathlib import Path
 
 from click.testing import CliRunner
 
+import langgraph_cli.cli as cli_module
 from langgraph_cli.cli import cli, prepare_args_and_stdin
 from langgraph_cli.config import Config, _get_pip_cleanup_lines, validate_config
 from langgraph_cli.docker import DEFAULT_POSTGRES_URI, DockerCapabilities, Version
@@ -287,6 +288,238 @@ def test_version_option() -> None:
     )
 
 
+def test_top_level_help_shows_deploy_subcommands() -> None:
+    runner = CliRunner()
+
+    result = runner.invoke(cli, ["--help"])
+
+    assert result.exit_code == 0, result.output
+    assert "deploy" in result.output
+    assert "deploy list" in result.output
+    assert "deploy delete" in result.output
+    assert "[Beta] List LangSmith Deployments." in result.output
+
+
+def test_top_level_help_truncates_command_descriptions_to_single_line() -> None:
+    runner = CliRunner()
+
+    result = runner.invoke(cli, ["--help"])
+
+    assert result.exit_code == 0, result.output
+    lines = result.output.splitlines()
+    deploy_line = next(line for line in lines if line.strip().startswith("deploy"))
+    deploy_list_line = next(
+        line for line in lines if line.strip().startswith("deploy list")
+    )
+
+    assert not lines[lines.index(deploy_line) + 1].startswith("               ")
+    assert "..." in deploy_line
+    assert "[Beta] List LangSmith Deployments." in deploy_list_line
+
+
+def test_deploy_list_command(monkeypatch) -> None:
+    runner = CliRunner()
+    captured: dict[str, str] = {}
+
+    class FakeClient:
+        def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
+            captured["host_url"] = host_url
+            captured["api_key"] = api_key
+            captured["tenant_id"] = tenant_id or ""
+
+        def list_deployments(self, name_contains: str = ""):
+            captured["name_contains"] = name_contains
+            return {
+                "resources": [
+                    {
+                        "id": "dep-123",
+                        "name": "alpha",
+                        "source_config": {"custom_url": "https://alpha.example.com"},
+                    },
+                    {
+                        "id": "dep-456",
+                        "name": "beta",
+                        "source_config": {"custom_url": "https://beta.example.com"},
+                    },
+                ]
+            }
+
+    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
+
+    result = runner.invoke(
+        cli,
+        [
+            "deploy",
+            "list",
+            "--api-key",
+            "test-key",
+            "--host-url",
+            "https://api.example.com",
+            "--name-contains",
+            "alp",
+        ],
+    )
+
+    assert result.exit_code == 0, result.output
+    assert captured == {
+        "host_url": "https://api.example.com",
+        "api_key": "test-key",
+        "tenant_id": "",
+        "name_contains": "alp",
+    }
+    assert "Deployment ID" in result.output
+    assert "Deployment Name" in result.output
+    assert "Deployment URL" in result.output
+    assert "dep-123" in result.output
+    assert "https://beta.example.com" in result.output
+
+
+def test_deploy_list_command_no_results(monkeypatch) -> None:
+    runner = CliRunner()
+
+    class FakeClient:
+        def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
+            pass
+
+        def list_deployments(self, name_contains: str = ""):
+            return {"resources": []}
+
+    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
+
+    result = runner.invoke(
+        cli,
+        [
+            "deploy",
+            "list",
+            "--api-key",
+            "test-key",
+            "--host-url",
+            "https://api.example.com",
+        ],
+    )
+
+    assert result.exit_code == 0, result.output
+    assert result.output.strip() == "No deployments found."
+
+
+def test_deploy_delete_command(monkeypatch) -> None:
+    runner = CliRunner()
+    captured: dict[str, str] = {}
+
+    class FakeClient:
+        def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
+            captured["host_url"] = host_url
+            captured["api_key"] = api_key
+            captured["tenant_id"] = tenant_id or ""
+
+        def delete_deployment(self, deployment_id: str):
+            captured["deployment_id"] = deployment_id
+            return None
+
+    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
+
+    result = runner.invoke(
+        cli,
+        [
+            "deploy",
+            "delete",
+            "--api-key",
+            "test-key",
+            "--host-url",
+            "https://api.example.com",
+            "dep-123",
+        ],
+        input="y\n",
+    )
+
+    assert result.exit_code == 0, result.output
+    assert captured == {
+        "host_url": "https://api.example.com",
+        "api_key": "test-key",
+        "tenant_id": "",
+        "deployment_id": "dep-123",
+    }
+    assert (
+        "Are you sure you want to delete deployment ID dep-123? (Y/n):" in result.output
+    )
+    assert result.output.strip().endswith("Deleted deployment dep-123.")
+
+
+def test_deploy_delete_command_cancelled(monkeypatch) -> None:
+    runner = CliRunner()
+    deleted = False
+
+    class FakeClient:
+        def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
+            pass
+
+        def delete_deployment(self, deployment_id: str):
+            nonlocal deleted
+            deleted = True
+            return None
+
+    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
+
+    result = runner.invoke(
+        cli,
+        [
+            "deploy",
+            "delete",
+            "--api-key",
+            "test-key",
+            "--host-url",
+            "https://api.example.com",
+            "dep-123",
+        ],
+        input="n\n",
+    )
+
+    assert result.exit_code == 1, result.output
+    assert not deleted
+    assert "Aborted!" in result.output
+
+
+def test_deploy_delete_command_force(monkeypatch) -> None:
+    runner = CliRunner()
+    captured: dict[str, str] = {}
+
+    class FakeClient:
+        def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
+            captured["host_url"] = host_url
+            captured["api_key"] = api_key
+            captured["tenant_id"] = tenant_id or ""
+
+        def delete_deployment(self, deployment_id: str):
+            captured["deployment_id"] = deployment_id
+            return None
+
+    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
+
+    result = runner.invoke(
+        cli,
+        [
+            "deploy",
+            "delete",
+            "--force",
+            "--api-key",
+            "test-key",
+            "--host-url",
+            "https://api.example.com",
+            "dep-123",
+        ],
+    )
+
+    assert result.exit_code == 0, result.output
+    assert "Are you sure you want to delete deployment ID dep-123?" not in result.output
+    assert captured == {
+        "host_url": "https://api.example.com",
+        "api_key": "test-key",
+        "tenant_id": "",
+        "deployment_id": "dep-123",
+    }
+    assert result.output.strip() == "Deleted deployment dep-123."
+
+
 def test_dockerfile_command_basic() -> None:
     """Test the 'dockerfile' command with basic configuration."""
     runner = CliRunner()

libs/cli/tests/unit_tests/test_config.py

@@ -1784,7 +1784,9 @@ def test_config_to_compose_distributed_mode():
     # Executor service is present with correct base image
     assert "langgraph-executor:" in actual_compose_stdin
     assert "FROM langchain/langgraph-executor:3.11" in actual_compose_stdin
-    assert 'entrypoint: ["sh", "/storage/executor_entrypoint.sh"]' in actual_compose_stdin
+    assert (
+        'entrypoint: ["sh", "/storage/executor_entrypoint.sh"]' in actual_compose_stdin
+    )
 
     # Executor has required environment variables
     assert "EXECUTOR_GRPC_PORT:" in actual_compose_stdin

libs/cli/tests/unit_tests/test_deploy_helpers.py

@@ -3,14 +3,17 @@ import json
 import os
 
 import click
+import httpx
 import pytest
 
 from langgraph_cli.cli import (
+    _call_host_backend_with_optional_tenant,
     _docker_config_for_token,
     _normalize_image_name,
     _normalize_image_tag,
     _parse_env_from_config,
 )
+from langgraph_cli.host_backend import HostBackendClient, HostBackendError
 
 
 class TestDockerConfigForToken:
@@ -132,3 +135,92 @@ class TestParseEnvFromConfig:
         assert result["GOOD"] == "value"
         # EMPTY= gives empty string, not None, so it should be present
         assert result["EMPTY"] == ""
+
+
+class TestCallHostBackendWithOptionalTenant:
+    def _make_client(self, handler):
+        c = HostBackendClient("https://api.example.com", "test-key")
+        c._client = httpx.Client(
+            base_url="https://api.example.com",
+            transport=httpx.MockTransport(handler),
+            headers={"X-Api-Key": "test-key", "Accept": "application/json"},
+            timeout=30,
+        )
+        return c
+
+    def _make_eu_client(self, handler):
+        c = HostBackendClient("https://eu.api.host.langchain.com", "test-key")
+        c._client = httpx.Client(
+            base_url="https://eu.api.host.langchain.com",
+            transport=httpx.MockTransport(handler),
+            headers={"X-Api-Key": "test-key", "Accept": "application/json"},
+            timeout=30,
+        )
+        return c
+
+    def test_success_passes_through(self):
+        client = self._make_client(lambda req: httpx.Response(200, json={"ok": True}))
+        result = _call_host_backend_with_optional_tenant(
+            client, lambda c: c.list_deployments()
+        )
+        assert result == {"ok": True}
+
+    def test_403_not_enabled_gives_actionable_error(self):
+        detail = (
+            '{"detail":"LangSmith Deployment is not enabled for this organization"}'
+        )
+        client = self._make_client(lambda req: httpx.Response(403, text=detail))
+        with pytest.raises(HostBackendError, match="not enabled") as exc_info:
+            _call_host_backend_with_optional_tenant(
+                client, lambda c: c.list_deployments()
+            )
+        assert exc_info.value.status_code == 403
+        assert "smith.langchain.com" in exc_info.value.message
+
+    def test_403_not_enabled_eu_url(self):
+        detail = (
+            '{"detail":"LangSmith Deployment is not enabled for this organization"}'
+        )
+        client = self._make_eu_client(lambda req: httpx.Response(403, text=detail))
+        with pytest.raises(HostBackendError, match="not enabled") as exc_info:
+            _call_host_backend_with_optional_tenant(
+                client, lambda c: c.list_deployments()
+            )
+        assert "eu.smith.langchain.com" in exc_info.value.message
+
+    def test_workspace_retry_then_not_enabled_gives_actionable_error(self, monkeypatch):
+        requires_workspace = '{"detail":"requires workspace specification"}'
+        not_enabled = (
+            '{"detail":"LangSmith Deployment is not enabled for this organization"}'
+        )
+        seen_tenant_ids = []
+
+        def handler(req):
+            seen_tenant_ids.append(req.headers.get("X-Tenant-ID"))
+            if len(seen_tenant_ids) == 1:
+                return httpx.Response(403, text=requires_workspace)
+            if len(seen_tenant_ids) == 2:
+                return httpx.Response(403, text=not_enabled)
+            raise AssertionError("unexpected extra request")
+
+        monkeypatch.setattr(click, "prompt", lambda _text: "workspace-123")
+        client = self._make_client(handler)
+
+        with pytest.raises(HostBackendError, match="not enabled") as exc_info:
+            _call_host_backend_with_optional_tenant(
+                client, lambda c: c.list_deployments()
+            )
+
+        assert exc_info.value.status_code == 403
+        assert "smith.langchain.com" in exc_info.value.message
+        assert seen_tenant_ids == [None, "workspace-123"]
+        assert client._client.headers["X-Tenant-ID"] == "workspace-123"
+
+    def test_other_403_re_raises_original(self):
+        client = self._make_client(
+            lambda req: httpx.Response(403, text='{"detail":"some other error"}')
+        )
+        with pytest.raises(HostBackendError, match="some other error"):
+            _call_host_backend_with_optional_tenant(
+                client, lambda c: c.list_deployments()
+            )

libs/cli/tests/unit_tests/test_host_backend.py

@@ -135,6 +135,28 @@ def test_list_deployments(client):
     assert result == {"ok": True}
 
 
+def test_list_deployments_sends_query_params():
+    def handler(req: httpx.Request) -> httpx.Response:
+        assert req.url.path == "/v2/deployments"
+        assert req.url.params["name_contains"] == "my app"
+        return httpx.Response(200, json={"ok": True})
+
+    c = HostBackendClient("https://api.example.com", "test-key")
+    c._client = httpx.Client(
+        base_url="https://api.example.com",
+        transport=httpx.MockTransport(handler),
+        headers={"X-Api-Key": "test-key", "Accept": "application/json"},
+        timeout=30,
+    )
+    result = c.list_deployments("my app")
+    assert result == {"ok": True}
+
+
+def test_delete_deployment(client):
+    result = client.delete_deployment("dep-123")
+    assert result == {"ok": True}
+
+
 def test_request_push_token(client):
     result = client.request_push_token("dep-123")
     assert result == {"ok": True}
@@ -160,3 +182,41 @@ def test_list_revisions(client):
 def test_get_revision(client):
     result = client.get_revision("dep-123", "rev-456")
     assert result == {"ok": True}
+
+
+def test_get_build_logs(client):
+    result = client.get_build_logs("proj-1", "rev-1", {"limit": 10})
+    assert result == {"ok": True}
+
+
+def test_get_deploy_logs_all_revisions():
+    def handler(req: httpx.Request) -> httpx.Response:
+        assert "/v1/projects/proj-1/deploy_logs" in str(req.url)
+        assert "/revisions/" not in str(req.url)
+        return httpx.Response(200, json={"logs": [{"message": "running"}]})
+
+    c = HostBackendClient("https://api.example.com", "key")
+    c._client = httpx.Client(
+        base_url="https://api.example.com",
+        transport=httpx.MockTransport(handler),
+        headers={"X-Api-Key": "key", "Accept": "application/json"},
+        timeout=30,
+    )
+    result = c.get_deploy_logs("proj-1", {"limit": 10})
+    assert result == {"logs": [{"message": "running"}]}
+
+
+def test_get_deploy_logs_specific_revision():
+    def handler(req: httpx.Request) -> httpx.Response:
+        assert "/v1/projects/proj-1/revisions/rev-2/deploy_logs" in str(req.url)
+        return httpx.Response(200, json={"logs": []})
+
+    c = HostBackendClient("https://api.example.com", "key")
+    c._client = httpx.Client(
+        base_url="https://api.example.com",
+        transport=httpx.MockTransport(handler),
+        headers={"X-Api-Key": "key", "Accept": "application/json"},
+        timeout=30,
+    )
+    result = c.get_deploy_logs("proj-1", {"limit": 10}, revision_id="rev-2")
+    assert result == {"logs": []}

libs/cli/tests/unit_tests/test_logs_helpers.py

@@ -0,0 +1,58 @@
+from langgraph_cli.helpers import format_log_entry, format_timestamp, level_fg
+
+
+class TestFormatTimestamp:
+    def test_epoch_ms(self):
+        assert format_timestamp(1773119644012) == "2026-03-10 05:14:04"
+
+    def test_string_passthrough(self):
+        assert format_timestamp("2026-03-08T00:00:00Z") == "2026-03-08T00:00:00Z"
+
+    def test_empty(self):
+        assert format_timestamp("") == ""
+
+    def test_none(self):
+        assert format_timestamp(None) == ""
+
+
+class TestFormatLogEntry:
+    def test_full_entry_epoch(self):
+        entry = {"timestamp": 1773119644012, "level": "ERROR", "message": "boom"}
+        result = format_log_entry(entry)
+        assert result == "[2026-03-10 05:14:04] [ERROR] boom"
+
+    def test_full_entry_string(self):
+        entry = {
+            "timestamp": "2026-03-08T12:00:00Z",
+            "level": "ERROR",
+            "message": "boom",
+        }
+        assert format_log_entry(entry) == "[2026-03-08T12:00:00Z] [ERROR] boom"
+
+    def test_no_level(self):
+        entry = {"timestamp": "2026-03-08T12:00:00Z", "message": "hello"}
+        assert format_log_entry(entry) == "[2026-03-08T12:00:00Z] hello"
+
+    def test_no_timestamp(self):
+        entry = {"message": "bare message"}
+        assert format_log_entry(entry) == "bare message"
+
+    def test_empty_entry(self):
+        assert format_log_entry({}) == ""
+
+
+class TestLevelFg:
+    def test_error(self):
+        assert level_fg("ERROR") == "red"
+
+    def test_error_lowercase(self):
+        assert level_fg("error") == "red"
+
+    def test_warning(self):
+        assert level_fg("WARNING") == "yellow"
+
+    def test_info_returns_none(self):
+        assert level_fg("INFO") is None
+
+    def test_empty_returns_none(self):
+        assert level_fg("") is None

libs/cli/tests/unit_tests/test_util.py

@@ -1,6 +1,11 @@
 from unittest.mock import patch
 
-from langgraph_cli.util import clean_empty_lines, warn_non_wolfi_distro
+from langgraph_cli.util import (
+    _extract_deployment_url,
+    clean_empty_lines,
+    format_deployments_table,
+    warn_non_wolfi_distro,
+)
 
 
 def test_clean_empty_lines():
@@ -186,3 +191,36 @@ def test_warn_non_wolfi_distro_does_not_modify_config():
     warn_non_wolfi_distro(config_copy)
 
     assert config_copy == original_config  # Config should remain unchanged
+
+
+def test_extract_deployment_url_uses_custom_url():
+    deployment = {"source_config": {"custom_url": "https://example.com/custom"}}
+    assert _extract_deployment_url(deployment) == "https://example.com/custom"
+
+
+def test_extract_deployment_url_defaults_to_dash():
+    assert _extract_deployment_url({"id": "dep-123"}) == "-"
+
+
+def test_format_deployments_table():
+    output = format_deployments_table(
+        [
+            {
+                "id": "dep-123",
+                "name": "alpha",
+                "source_config": {"custom_url": "https://alpha.example.com"},
+            },
+            {
+                "id": "dep-456",
+                "name": "beta",
+                "url": "https://beta.example.com",
+            },
+        ]
+    )
+    assert "Deployment ID" in output
+    assert "Deployment Name" in output
+    assert "Deployment URL" in output
+    assert "dep-123" in output
+    assert "alpha" in output
+    assert "https://alpha.example.com" in output
+    assert "dep-456" in output

libs/cli/uv.lock

@@ -992,7 +992,6 @@ dependencies = [
 inmem = [
     { name = "langgraph-api", marker = "python_full_version >= '3.11'" },
     { name = "langgraph-runtime-inmem", marker = "python_full_version >= '3.11'" },
-    { name = "python-dotenv" },
 ]
 
 [package.dev-dependencies]
@@ -1089,15 +1088,15 @@ wheels = [
 
 [[package]]
 name = "langgraph-sdk"
-version = "0.3.9"
+version = "0.3.11"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "httpx", marker = "python_full_version >= '3.11'" },
     { name = "orjson", marker = "python_full_version >= '3.11'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/3a/bd/ca8ae5c6a34be6d4f7aa86016e010ff96b3a939456041565797952e3014d/langgraph_sdk-0.3.9.tar.gz", hash = "sha256:8be8958529b3f6d493ec248fdb46e539362efda75784654a42a7091d22504e0e", size = 184287, upload-time = "2026-02-24T18:39:03.276Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/35/cd/a019f1b1e97c519f2425593f9bccd3ac463a18fb5d2111cff59ce1ef62fe/langgraph_sdk-0.3.11.tar.gz", hash = "sha256:3640134835d89d2c7c8bb7de73bd10673d4b282db3ff0e2fdaf1cee9e50cb1eb", size = 190387, upload-time = "2026-03-11T00:46:45.25Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/6a/4c/7a7510260fbda788efd13bf4650d3e7d80988118441ac811ec78e0aa03ac/langgraph_sdk-0.3.9-py3-none-any.whl", hash = "sha256:94654294250c920789b6ed0d8a70c0117fed5736b61efc24ff647157359453c5", size = 90511, upload-time = "2026-02-24T18:39:02.012Z" },
+    { url = "https://files.pythonhosted.org/packages/13/c8/b8d15d4b9a320a3f57a851030a371066b91dbd1420f097d3d0338da9adc9/langgraph_sdk-0.3.11-py3-none-any.whl", hash = "sha256:18905fd6248ade98b0995d859a98672d57c811fbfffc0d63d1c107a512351b26", size = 94887, upload-time = "2026-03-11T00:46:43.855Z" },
 ]
 
 [[package]]
@@ -1797,11 +1796,11 @@ wheels = [
 
 [[package]]
 name = "pyjwt"
-version = "2.11.0"
+version = "2.12.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/5c/5a/b46fa56bf322901eee5b0454a34343cdbdae202cd421775a8ee4e42fd519/pyjwt-2.11.0.tar.gz", hash = "sha256:35f95c1f0fbe5d5ba6e43f00271c275f7a1a4db1dab27bf708073b75318ea623", size = 98019, upload-time = "2026-01-30T19:59:55.694Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/a8/10/e8192be5f38f3e8e7e046716de4cae33d56fd5ae08927a823bb916be36c1/pyjwt-2.12.0.tar.gz", hash = "sha256:2f62390b667cd8257de560b850bb5a883102a388829274147f1d724453f8fb02", size = 102511, upload-time = "2026-03-12T17:15:30.831Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/6f/01/c26ce75ba460d5cd503da9e13b21a33804d38c2165dec7b716d06b13010c/pyjwt-2.11.0-py3-none-any.whl", hash = "sha256:94a6bde30eb5c8e04fee991062b534071fd1439ef58d2adc9ccb823e7bcd0469", size = 28224, upload-time = "2026-01-30T19:59:54.539Z" },
+    { url = "https://files.pythonhosted.org/packages/15/70/70f895f404d363d291dcf62c12c85fdd47619ad9674ac0f53364d035925a/pyjwt-2.12.0-py3-none-any.whl", hash = "sha256:9bb459d1bdd0387967d287f5656bf7ec2b9a26645d1961628cda1764e087fd6e", size = 29700, upload-time = "2026-03-12T17:15:29.257Z" },
 ]
 
 [[package]]
@@ -2027,27 +2026,27 @@ wheels = [
 
 [[package]]
 name = "ruff"
-version = "0.15.5"
+version = "0.15.6"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/77/9b/840e0039e65fcf12758adf684d2289024d6140cde9268cc59887dc55189c/ruff-0.15.5.tar.gz", hash = "sha256:7c3601d3b6d76dce18c5c824fc8d06f4eef33d6df0c21ec7799510cde0f159a2", size = 4574214, upload-time = "2026-03-05T20:06:34.946Z" }
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 [[package]]

libs/langgraph/RELEASE_NOTES_1.1.md

@@ -1,90 +0,0 @@
-# LangGraph 1.1.0 Release Notes
-
-## Type-Safe Streaming & Invoke
-
-LangGraph 1.1 introduces `version="v2"` — a new opt-in streaming format that brings full type safety to `stream()`, `astream()`, `invoke()`, and `ainvoke()`.
-
-### What's changing
-
-**v1 (default, unchanged):** `stream()` yields bare tuples like `(stream_mode, data)` or just `data`. `invoke()` returns a plain `dict`. Interrupts are mixed into the output dict under `"__interrupt__"`.
-
-**v2 (opt-in):** `stream()` yields strongly-typed `StreamPart` dicts with `type`, `ns`, `data`, and (for values) `interrupts` fields. `invoke()` returns a `GraphOutput` object with `.value` and `.interrupts` attributes. When your state schema is a Pydantic model or dataclass, outputs are automatically coerced to the correct type.
-
-### `invoke()` / `ainvoke()` with `version="v2"`
-
-```python
-from langgraph.types import GraphOutput
-
-result = graph.invoke({"input": "hello"}, version="v2")
-
-# result is a GraphOutput, not a dict
-assert isinstance(result, GraphOutput)
-result.value       # your output — dict, Pydantic model, or dataclass
-result.interrupts  # tuple[Interrupt, ...], empty if none occurred
-```
-
-With a non-`"values"` stream mode, `invoke(..., stream_mode="updates", version="v2")` returns `list[StreamPart]` instead of `list[tuple]`.
-
-### `stream()` / `astream()` with `version="v2"`
-
-```python
-for part in graph.stream({"input": "hello"}, version="v2"):
-    if part["type"] == "values":
-        part["data"]        # OutputT — full state
-        part["interrupts"]  # tuple[Interrupt, ...]
-    elif part["type"] == "updates":
-        part["data"]        # dict[str, Any]
-    elif part["type"] == "messages":
-        part["data"]        # tuple[BaseMessage, dict]
-    elif part["type"] == "custom":
-        part["data"]        # Any
-    elif part["type"] == "tasks":
-        part["data"]        # TaskPayload | TaskResultPayload
-    elif part["type"] == "debug":
-        part["data"]        # DebugPayload
-```
-
-Each stream mode has its own `TypedDict` — `ValuesStreamPart`, `UpdatesStreamPart`, `MessagesStreamPart`, `CustomStreamPart`, `CheckpointStreamPart`, `TasksStreamPart`, `DebugStreamPart` — all importable from `langgraph.types`. The union type `StreamPart` is a discriminated union on `part["type"]`, enabling full type narrowing in editors and type checkers.
-
-### Pydantic & dataclass output coercion
-
-When your graph's state schema is a Pydantic model or dataclass, `version="v2"` automatically coerces outputs to the declared type:
-
-```python
-from pydantic import BaseModel
-
-class MyState(BaseModel):
-    answer: str
-    count: int
-
-graph = StateGraph(MyState)
-# ... build graph ...
-compiled = graph.compile()
-
-result = compiled.invoke({"answer": "", "count": 0}, version="v2")
-assert isinstance(result.value, MyState)  # not a dict!
-```
-
-### Backward compatibility
-
-- **Default is still `version="v1"`** — existing code works without changes.
-- To make migration easier, `GraphOutput` supports old-style best-effort access to graph values and interrupts. Dict-style access (`result["key"]`, `"key" in result`, `result["__interrupt__"]`) still works and delegates to `result.value` / `result.interrupts` under the hood. However, this is **deprecated** and emits a `LangGraphDeprecatedSinceV11` warning. It will be removed in v3.0 — migrate to `result.value` and `result.interrupts` at your convenience.
-
-```python
-result = graph.invoke({"input": "hello"}, version="v2")
-
-# Old style — still works, but deprecated
-result["input"]          # delegates to result.value["input"]
-result["__interrupt__"]  # delegates to result.interrupts
-"input" in result        # delegates to "input" in result.value
-
-# New style — preferred
-result.value["input"]
-result.interrupts
-```
-
-## Migration Guide
-
-1. **No action required** — `version="v1"` remains the default. All existing code continues to work.
-2. **Adopt v2 incrementally** — Add `version="v2"` to individual `invoke()`/`stream()` calls to get typed outputs.
-3. **Use typed imports** — Import `GraphOutput`, `StreamPart`, and individual part types from `langgraph.types` for type-safe code.

libs/langgraph/langgraph/pregel/_loop.py

@@ -647,13 +647,24 @@ class PregelLoop:
         # writes so that interrupt() calls re-fire instead of returning
         # stale values. But if we're actively resuming, keep them —
         # multi-interrupt scenarios need previously resolved values preserved.
-        # We check two conditions because resume signals arrive differently:
-        # - Command(resume=...): the outer graph receives resume via input
-        # - CONFIG_KEY_RESUMING: child subgraphs receive it via config from
-        #   the parent (their input is a Send arg, not a Command)
-        if self.is_replaying and not (
-            (input_is_command and cast(Command, self.input).resume is not None)
-            or configurable.get(CONFIG_KEY_RESUMING, False)
+        if self.is_replaying and (
+            # Time-travel to a subgraph checkpoint: the parent sets
+            # RESUMING=True (it can't distinguish time-travel from resume),
+            # so we check if this subgraph's own ns is in checkpoint_map.
+            # Normally the map only has ancestor entries (_algo.py); the
+            # subgraph's own entry only appears via get_state(subgraphs=True).
+            (
+                self.is_nested
+                and configurable.get(CONFIG_KEY_CHECKPOINT_NS, "")
+                in configurable.get(CONFIG_KEY_CHECKPOINT_MAP, {})
+            )
+            or not (
+                # Outer graph: resume arrives as Command(resume=...)
+                (input_is_command and cast(Command, self.input).resume is not None)
+                # Subgraphs: resume arrives via config flag from parent
+                # (subgraph input is a Send arg, not a Command)
+                or configurable.get(CONFIG_KEY_RESUMING, False)
+            )
         ):
             self.checkpoint_pending_writes = [
                 w for w in self.checkpoint_pending_writes if w[1] != RESUME
@@ -1127,9 +1138,15 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
     def __enter__(self) -> Self:
         if not self.checkpointer:
             saved = None
-        elif self.is_nested and (
-            replay_state := self.config[CONF].get(CONFIG_KEY_REPLAY_STATE)
-        ):
+        elif self.checkpoint_config[CONF].get(CONFIG_KEY_CHECKPOINT_ID):
+            # Explicit checkpoint_id requested — fetch that exact checkpoint.
+            # This covers both normal replay and subgraphs resolved via
+            # checkpoint_map during time-travel.
+            saved = self.checkpointer.get_tuple(self.checkpoint_config)
+        elif replay_state := self.config[CONF].get(CONFIG_KEY_REPLAY_STATE):
+            # Subgraph replay: the parent is replaying and passed us a
+            # replay_state with its checkpoint_id. Look up our checkpoint
+            # from the parent's checkpoint_map instead of fetching latest.
             saved = replay_state.get_checkpoint(
                 self.config[CONF].get(CONFIG_KEY_CHECKPOINT_NS, ""),
                 self.checkpointer,
@@ -1141,9 +1158,7 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
             self.config[CONF].pop(CONFIG_KEY_RESUMING, None)
         else:
             # Normal case: fetch the most recent checkpoint for this
-            # graph/thread. If a specific checkpoint_id is in the config,
-            # fetch that exact checkpoint; otherwise fetch the latest one.
-            # Returns None on first invocation (no checkpoints exist yet).
+            # graph/thread. Returns None on first invocation.
             saved = self.checkpointer.get_tuple(self.checkpoint_config)
 
         if saved is None:
@@ -1322,9 +1337,15 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
     async def __aenter__(self) -> Self:
         if not self.checkpointer:
             saved = None
-        elif self.is_nested and (
-            replay_state := self.config[CONF].get(CONFIG_KEY_REPLAY_STATE)
-        ):
+        elif self.checkpoint_config[CONF].get(CONFIG_KEY_CHECKPOINT_ID):
+            # Explicit checkpoint_id requested — fetch that exact checkpoint.
+            # This covers both normal replay and subgraphs resolved via
+            # checkpoint_map during time-travel.
+            saved = await self.checkpointer.aget_tuple(self.checkpoint_config)
+        elif replay_state := self.config[CONF].get(CONFIG_KEY_REPLAY_STATE):
+            # Subgraph replay: the parent is replaying and passed us a
+            # replay_state with its checkpoint_id. Look up our checkpoint
+            # from the parent's checkpoint_map instead of fetching latest.
             saved = await replay_state.aget_checkpoint(
                 self.config[CONF].get(CONFIG_KEY_CHECKPOINT_NS, ""),
                 self.checkpointer,
@@ -1336,9 +1357,7 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
             self.config[CONF].pop(CONFIG_KEY_RESUMING, None)
         else:
             # Normal case: fetch the most recent checkpoint for this
-            # graph/thread. If a specific checkpoint_id is in the config,
-            # fetch that exact checkpoint; otherwise fetch the latest one.
-            # Returns None on first invocation (no checkpoints exist yet).
+            # graph/thread. Returns None on first invocation.
             saved = await self.checkpointer.aget_tuple(self.checkpoint_config)
 
         if saved is None:

libs/langgraph/langgraph/pregel/_retry.py

@@ -14,9 +14,11 @@ from langgraph._internal._constants import (
     CONF,
     CONFIG_KEY_CHECKPOINT_NS,
     CONFIG_KEY_RESUMING,
+    CONFIG_KEY_RUNTIME,
     NS_SEP,
 )
 from langgraph.errors import GraphBubbleUp, ParentCommand
+from langgraph.runtime import Runtime
 from langgraph.types import Command, PregelExecutableTask, RetryPolicy
 
 logger = logging.getLogger(__name__)
@@ -60,10 +62,33 @@ def run_with_retry(
     """Run a task with retries."""
     retry_policy = task.retry_policy or retry_policy
     attempts = 0
+    node_first_attempt_time = time.time()
     config = task.config
     if configurable is not None:
         config = patch_configurable(config, configurable)
+    runtime = config.get(CONF, {}).get(CONFIG_KEY_RUNTIME)
+    if isinstance(runtime, Runtime):
+        config = patch_configurable(
+            config,
+            {
+                CONFIG_KEY_RUNTIME: runtime.patch_execution_info(
+                    node_first_attempt_time=node_first_attempt_time,
+                )
+            },
+        )
     while True:
+        runtime = config.get(CONF, {}).get(CONFIG_KEY_RUNTIME)
+        if isinstance(runtime, Runtime):
+            config = patch_configurable(
+                config,
+                {
+                    CONFIG_KEY_RUNTIME: runtime.patch_execution_info(
+                        # node_attempt is execution count (1-indexed): 1 on first run,
+                        # then 2, 3, ... on subsequent retries.
+                        node_attempt=attempts + 1,
+                    )
+                },
+            )
         try:
             # clear any writes from previous attempts
             task.writes.clear()
@@ -102,7 +127,7 @@ def run_with_retry(
             if not matching_policy:
                 raise
 
-            # increment attempts
+            # attempts tracks failed tries only; it increments after a failure.
             attempts += 1
             # check if we should give up
             if attempts >= matching_policy.max_attempts:
@@ -141,15 +166,38 @@ async def arun_with_retry(
     """Run a task asynchronously with retries."""
     retry_policy = task.retry_policy or retry_policy
     attempts = 0
+    node_first_attempt_time = time.time()
     config = task.config
     if configurable is not None:
         config = patch_configurable(config, configurable)
+    runtime = config.get(CONF, {}).get(CONFIG_KEY_RUNTIME)
+    if isinstance(runtime, Runtime):
+        config = patch_configurable(
+            config,
+            {
+                CONFIG_KEY_RUNTIME: runtime.patch_execution_info(
+                    node_first_attempt_time=node_first_attempt_time,
+                )
+            },
+        )
     if match_cached_writes is not None and task.cache_key is not None:
         for t in await match_cached_writes():
             if t is task:
                 # if the task is already cached, return
                 return
     while True:
+        runtime = config.get(CONF, {}).get(CONFIG_KEY_RUNTIME)
+        if isinstance(runtime, Runtime):
+            config = patch_configurable(
+                config,
+                {
+                    CONFIG_KEY_RUNTIME: runtime.patch_execution_info(
+                        # node_attempt is execution count (1-indexed): 1 on first run,
+                        # then 2, 3, ... on subsequent retries.
+                        node_attempt=attempts + 1,
+                    )
+                },
+            )
         try:
             # clear any writes from previous attempts
             task.writes.clear()
@@ -194,7 +242,8 @@ async def arun_with_retry(
             if not matching_policy:
                 raise
 
-            # increment attempts
+            # attempts tracks failed tries only; it increments after a failure.
+            # The next execution's node_attempt is derived as attempts + 1.
             attempts += 1
             # check if we should give up
             if attempts >= matching_policy.max_attempts:

libs/langgraph/langgraph/pregel/main.py

@@ -136,7 +136,7 @@ from langgraph.pregel._validate import validate_graph, validate_keys
 from langgraph.pregel._write import ChannelWrite, ChannelWriteEntry
 from langgraph.pregel.debug import get_bolded_text, get_colored_text, tasks_w_writes
 from langgraph.pregel.protocol import PregelProtocol, StreamChunk, StreamProtocol
-from langgraph.runtime import DEFAULT_RUNTIME, Runtime
+from langgraph.runtime import DEFAULT_RUNTIME, ExecutionInfo, Runtime
 from langgraph.types import (
     All,
     CachePolicy,
@@ -2456,7 +2456,7 @@ class Pregel(
         debug: bool | None = None,
         version: Literal["v2"],
         **kwargs: Unpack[DeprecatedKwargs],
-    ) -> Iterator[StreamPart[OutputT, StateT]]: ...
+    ) -> Iterator[StreamPart[StateT, OutputT]]: ...
 
     @overload
     def stream(
@@ -2648,6 +2648,7 @@ class Pregel(
                 store=store,
                 stream_writer=stream_writer,
                 previous=None,
+                execution_info=ExecutionInfo(),
             )
             parent_runtime = config[CONF].get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME)
             runtime = parent_runtime.merge(runtime)
@@ -2787,7 +2788,7 @@ class Pregel(
         debug: bool | None = None,
         version: Literal["v2"],
         **kwargs: Unpack[DeprecatedKwargs],
-    ) -> AsyncIterator[StreamPart[OutputT, StateT]]: ...
+    ) -> AsyncIterator[StreamPart[StateT, OutputT]]: ...
 
     @overload
     def astream(
@@ -3014,6 +3015,7 @@ class Pregel(
                 store=store,
                 stream_writer=stream_writer,
                 previous=None,
+                execution_info=ExecutionInfo(),
             )
             parent_runtime = config[CONF].get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME)
             runtime = parent_runtime.merge(runtime)
@@ -3194,7 +3196,7 @@ class Pregel(
         durability: Durability | None = None,
         version: Literal["v2"],
         **kwargs: Any,
-    ) -> list[StreamPart[OutputT, StateT]]: ...
+    ) -> list[StreamPart[StateT, OutputT]]: ...
 
     @overload
     def invoke(
@@ -3364,7 +3366,7 @@ class Pregel(
         durability: Durability | None = None,
         version: Literal["v2"],
         **kwargs: Any,
-    ) -> list[StreamPart[OutputT, StateT]]: ...
+    ) -> list[StreamPart[StateT, OutputT]]: ...
 
     @overload
     async def ainvoke(

libs/langgraph/langgraph/pregel/protocol.py

@@ -117,7 +117,7 @@ class PregelProtocol(Runnable[InputT, Any], Generic[StateT, ContextT, InputT, Ou
         interrupt_after: All | Sequence[str] | None = None,
         subgraphs: bool = False,
         version: Literal["v2"],
-    ) -> Iterator[StreamPart[OutputT, StateT]]: ...
+    ) -> Iterator[StreamPart[StateT, OutputT]]: ...
 
     @overload
     @abstractmethod
@@ -161,7 +161,7 @@ class PregelProtocol(Runnable[InputT, Any], Generic[StateT, ContextT, InputT, Ou
         interrupt_after: All | Sequence[str] | None = None,
         subgraphs: bool = False,
         version: Literal["v2"],
-    ) -> AsyncIterator[StreamPart[OutputT, StateT]]: ...
+    ) -> AsyncIterator[StreamPart[StateT, OutputT]]: ...
 
     @overload
     @abstractmethod

libs/langgraph/langgraph/pregel/remote.py

@@ -31,6 +31,7 @@ from langgraph_sdk.client import (
 )
 from langgraph_sdk.schema import (
     Checkpoint,
+    Context,
     QueryParamTypes,
     ThreadState,
 )
@@ -691,6 +692,7 @@ class RemoteGraph(PregelProtocol):
         input: dict[str, Any] | Any,
         config: RunnableConfig | None = None,
         *,
+        context: Context | None = None,
         stream_mode: StreamMode | list[StreamMode] | None = None,
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
@@ -707,6 +709,7 @@ class RemoteGraph(PregelProtocol):
         input: dict[str, Any] | Any,
         config: RunnableConfig | None = None,
         *,
+        context: Context | None = None,
         stream_mode: StreamMode | list[StreamMode] | None = None,
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
@@ -722,6 +725,7 @@ class RemoteGraph(PregelProtocol):
         input: dict[str, Any] | Any,
         config: RunnableConfig | None = None,
         *,
+        context: Context | None = None,
         stream_mode: StreamMode | list[StreamMode] | None = None,
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
@@ -734,7 +738,7 @@ class RemoteGraph(PregelProtocol):
         """Create a run and stream the results.
 
         This method calls `POST /threads/{thread_id}/runs/stream` if a `thread_id`
-        is speciffed in the `configurable` field of the config or
+        is specified in the `configurable` field of the config or
         `POST /runs/stream` otherwise.
 
         Args:
@@ -769,6 +773,7 @@ class RemoteGraph(PregelProtocol):
             input=input,
             command=command,
             config=sanitized_config,
+            context=context,
             stream_mode=stream_modes,
             interrupt_before=interrupt_before,
             interrupt_after=interrupt_after,
@@ -842,6 +847,7 @@ class RemoteGraph(PregelProtocol):
         input: dict[str, Any] | Any,
         config: RunnableConfig | None = None,
         *,
+        context: Context | None = None,
         stream_mode: StreamMode | list[StreamMode] | None = None,
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
@@ -858,6 +864,7 @@ class RemoteGraph(PregelProtocol):
         input: dict[str, Any] | Any,
         config: RunnableConfig | None = None,
         *,
+        context: Context | None = None,
         stream_mode: StreamMode | list[StreamMode] | None = None,
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
@@ -873,6 +880,7 @@ class RemoteGraph(PregelProtocol):
         input: dict[str, Any] | Any,
         config: RunnableConfig | None = None,
         *,
+        context: Context | None = None,
         stream_mode: StreamMode | list[StreamMode] | None = None,
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
@@ -885,7 +893,7 @@ class RemoteGraph(PregelProtocol):
         """Create a run and stream the results.
 
         This method calls `POST /threads/{thread_id}/runs/stream` if a `thread_id`
-        is speciffed in the `configurable` field of the config or
+        is specified in the `configurable` field of the config or
         `POST /runs/stream` otherwise.
 
         Args:
@@ -920,6 +928,7 @@ class RemoteGraph(PregelProtocol):
             input=input,
             command=command,
             config=sanitized_config,
+            context=context,
             stream_mode=stream_modes,
             interrupt_before=interrupt_before,
             interrupt_after=interrupt_after,
@@ -1009,6 +1018,7 @@ class RemoteGraph(PregelProtocol):
         input: dict[str, Any] | Any,
         config: RunnableConfig | None = None,
         *,
+        context: Context | None = None,
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
         headers: dict[str, str] | None = None,
@@ -1023,6 +1033,7 @@ class RemoteGraph(PregelProtocol):
         input: dict[str, Any] | Any,
         config: RunnableConfig | None = None,
         *,
+        context: Context | None = None,
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
         headers: dict[str, str] | None = None,
@@ -1036,6 +1047,7 @@ class RemoteGraph(PregelProtocol):
         input: dict[str, Any] | Any,
         config: RunnableConfig | None = None,
         *,
+        context: Context | None = None,
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
         headers: dict[str, str] | None = None,
@@ -1061,6 +1073,7 @@ class RemoteGraph(PregelProtocol):
         for chunk in self.stream(  # type: ignore[misc, call-overload]
             input,
             config=config,
+            context=context,
             interrupt_before=interrupt_before,
             interrupt_after=interrupt_after,
             headers=headers,
@@ -1087,6 +1100,7 @@ class RemoteGraph(PregelProtocol):
         input: dict[str, Any] | Any,
         config: RunnableConfig | None = None,
         *,
+        context: Context | None = None,
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
         headers: dict[str, str] | None = None,
@@ -1101,6 +1115,7 @@ class RemoteGraph(PregelProtocol):
         input: dict[str, Any] | Any,
         config: RunnableConfig | None = None,
         *,
+        context: Context | None = None,
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
         headers: dict[str, str] | None = None,
@@ -1114,6 +1129,7 @@ class RemoteGraph(PregelProtocol):
         input: dict[str, Any] | Any,
         config: RunnableConfig | None = None,
         *,
+        context: Context | None = None,
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
         headers: dict[str, str] | None = None,
@@ -1139,6 +1155,7 @@ class RemoteGraph(PregelProtocol):
         async for chunk in self.astream(  # type: ignore[misc, call-overload]
             input,
             config=config,
+            context=context,
             interrupt_before=interrupt_before,
             interrupt_after=interrupt_after,
             headers=headers,

libs/langgraph/langgraph/runtime.py

@@ -1,7 +1,7 @@
 from __future__ import annotations
 
 from dataclasses import dataclass, field, replace
-from typing import Any, Generic, cast
+from typing import Any, Generic, NamedTuple, cast
 
 from langgraph.store.base import BaseStore
 from typing_extensions import TypedDict, Unpack
@@ -11,7 +11,21 @@ from langgraph.config import get_config
 from langgraph.types import _DC_KWARGS, StreamWriter
 from langgraph.typing import ContextT
 
-__all__ = ("Runtime", "get_runtime")
+__all__ = ("ExecutionInfo", "Runtime", "get_runtime")
+
+
+class ExecutionInfo(NamedTuple):
+    """Read-only execution info/metadata for the execution of current thread/run/node."""
+
+    node_attempt: int = 1
+    """Current node execution attempt number (1-indexed)."""
+
+    node_first_attempt_time: float | None = None
+    """Unix timestamp (seconds) for when the first attempt started."""
+
+    def patch(self, **overrides: Any) -> ExecutionInfo:
+        """Return a new execution info object with selected fields replaced."""
+        return self._replace(**overrides)
 
 
 def _no_op_stream_writer(_: Any) -> None: ...
@@ -22,6 +36,7 @@ class _RuntimeOverrides(TypedDict, Generic[ContextT], total=False):
     store: BaseStore | None
     stream_writer: StreamWriter
     previous: Any
+    execution_info: ExecutionInfo
 
 
 @dataclass(**_DC_KWARGS)
@@ -29,7 +44,7 @@ class Runtime(Generic[ContextT]):
     """Convenience class that bundles run-scoped context and other runtime utilities.
 
     This class is injected into graph nodes and middleware. It provides access to
-    `context`, `store`, `stream_writer`, and `previous`.
+    `context`, `store`, `stream_writer`, `previous`, and `execution_info`.
 
     !!! note "Accessing `config`"
 
@@ -115,6 +130,9 @@ class Runtime(Generic[ContextT]):
     Only available with the functional API when a checkpointer is provided.
     """
 
+    execution_info: ExecutionInfo = field(default_factory=ExecutionInfo)
+    """Read-only execution information/metadata for the current node run."""
+
     def merge(self, other: Runtime[ContextT]) -> Runtime[ContextT]:
         """Merge two runtimes together.
 
@@ -127,6 +145,7 @@ class Runtime(Generic[ContextT]):
             if other.stream_writer is not _no_op_stream_writer
             else self.stream_writer,
             previous=self.previous if other.previous is None else other.previous,
+            execution_info=other.execution_info,
         )
 
     def override(
@@ -135,12 +154,20 @@ class Runtime(Generic[ContextT]):
         """Replace the runtime with a new runtime with the given overrides."""
         return replace(self, **overrides)
 
+    def patch_execution_info(self, **overrides: Any) -> Runtime[ContextT]:
+        """Return a new runtime with selected execution_info fields replaced."""
+        return replace(
+            self,
+            execution_info=self.execution_info.patch(**overrides),
+        )
+
 
 DEFAULT_RUNTIME = Runtime(
     context=None,
     store=None,
     stream_writer=_no_op_stream_writer,
     previous=None,
+    execution_info=ExecutionInfo(),
 )
 
 

libs/langgraph/langgraph/types.py

@@ -335,7 +335,7 @@ StreamPart = TypeAliasType(
     | CheckpointStreamPart[StateT]
     | TasksStreamPart
     | DebugStreamPart[StateT],
-    type_params=(OutputT, StateT),
+    type_params=(StateT, OutputT),
 )
 """A discriminated union of all v2 stream part types.
 

libs/langgraph/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph"
-version = "1.1.0"
+version = "1.1.3"
 description = "Building stateful, multi-actor applications with LLMs"
 authors = []
 requires-python = ">=3.10"

libs/langgraph/tests/test_remote_graph.py

@@ -1,5 +1,6 @@
 import re
 import sys
+from dataclasses import dataclass
 from typing import Annotated
 from unittest.mock import AsyncMock, MagicMock
 
@@ -10,6 +11,7 @@ from langchain_core.runnables import RunnableConfig
 from langchain_core.runnables.graph import Edge as DrawableEdge
 from langchain_core.runnables.graph import Node as DrawableNode
 from langgraph_sdk.schema import StreamPart
+from pydantic import BaseModel
 from typing_extensions import TypedDict
 
 from langgraph.errors import GraphInterrupt
@@ -908,6 +910,188 @@ async def test_ainvoke():
     assert result == {"messages": [{"type": "human", "content": "world"}]}
 
 
+def test_stream_context():
+    """Test that context is passed through to the SDK client in stream."""
+    mock_sync_client = MagicMock()
+    mock_sync_client.runs.stream.return_value = [
+        StreamPart(event="values", data={"chunk": "data1"}),
+    ]
+
+    remote_pregel = RemoteGraph(
+        "test_graph_id",
+        sync_client=mock_sync_client,
+    )
+
+    config = {"configurable": {"thread_id": "thread_1"}}
+    context = {"model_name": "anthropic", "user_id": "123"}
+    stream_parts = list(
+        remote_pregel.stream(
+            {"input": "data"},
+            config,
+            context=context,
+            stream_mode="values",
+        )
+    )
+
+    assert stream_parts == [{"chunk": "data1"}]
+    _, kwargs = mock_sync_client.runs.stream.call_args
+    assert kwargs["context"] == {"model_name": "anthropic", "user_id": "123"}
+
+
+def test_stream_context_none():
+    """Test that context defaults to None when not provided."""
+    mock_sync_client = MagicMock()
+    mock_sync_client.runs.stream.return_value = [
+        StreamPart(event="values", data={"chunk": "data1"}),
+    ]
+
+    remote_pregel = RemoteGraph(
+        "test_graph_id",
+        sync_client=mock_sync_client,
+    )
+
+    config = {"configurable": {"thread_id": "thread_1"}}
+    list(remote_pregel.stream({"input": "data"}, config, stream_mode="values"))
+
+    _, kwargs = mock_sync_client.runs.stream.call_args
+    assert kwargs["context"] is None
+
+
+@pytest.mark.anyio
+async def test_astream_context():
+    """Test that context is passed through to the SDK client in astream."""
+    mock_async_client = MagicMock()
+    async_iter = MagicMock()
+    async_iter.__aiter__.return_value = [
+        StreamPart(event="values", data={"chunk": "data1"}),
+    ]
+    mock_async_client.runs.stream.return_value = async_iter
+
+    remote_pregel = RemoteGraph(
+        "test_graph_id",
+        client=mock_async_client,
+    )
+
+    config = {"configurable": {"thread_id": "thread_1"}}
+    context = {"model_name": "anthropic"}
+    chunks = []
+    async for chunk in remote_pregel.astream(
+        {"input": "data"},
+        config,
+        context=context,
+        stream_mode="values",
+    ):
+        chunks.append(chunk)
+
+    assert chunks == [{"chunk": "data1"}]
+    _, kwargs = mock_async_client.runs.stream.call_args
+    assert kwargs["context"] == {"model_name": "anthropic"}
+
+
+def test_invoke_context():
+    """Test that context is passed through to the SDK client in invoke."""
+    mock_sync_client = MagicMock()
+    mock_sync_client.runs.stream.return_value = [
+        StreamPart(event="values", data={"result": "done"}),
+    ]
+
+    remote_pregel = RemoteGraph(
+        "test_graph_id",
+        sync_client=mock_sync_client,
+    )
+
+    config = {"configurable": {"thread_id": "thread_1"}}
+    context = {"model_name": "openai"}
+    result = remote_pregel.invoke({"input": "data"}, config, context=context)
+
+    assert result == {"result": "done"}
+    _, kwargs = mock_sync_client.runs.stream.call_args
+    assert kwargs["context"] == {"model_name": "openai"}
+
+
+@pytest.mark.anyio
+async def test_ainvoke_context():
+    """Test that context is passed through to the SDK client in ainvoke."""
+    mock_async_client = MagicMock()
+    async_iter = MagicMock()
+    async_iter.__aiter__.return_value = [
+        StreamPart(event="values", data={"result": "done"}),
+    ]
+    mock_async_client.runs.stream.return_value = async_iter
+
+    remote_pregel = RemoteGraph(
+        "test_graph_id",
+        client=mock_async_client,
+    )
+
+    config = {"configurable": {"thread_id": "thread_1"}}
+    context = {"user_id": "456"}
+    result = await remote_pregel.ainvoke({"input": "data"}, config, context=context)
+
+    assert result == {"result": "done"}
+    _, kwargs = mock_async_client.runs.stream.call_args
+    assert kwargs["context"] == {"user_id": "456"}
+
+
+def test_stream_context_dataclass():
+    """Test that a dataclass context is passed through to the SDK client."""
+
+    @dataclass
+    class MyContext:
+        model_name: str
+        user_id: str
+
+    mock_sync_client = MagicMock()
+    mock_sync_client.runs.stream.return_value = [
+        StreamPart(event="values", data={"chunk": "data1"}),
+    ]
+
+    remote_pregel = RemoteGraph(
+        "test_graph_id",
+        sync_client=mock_sync_client,
+    )
+
+    config = {"configurable": {"thread_id": "thread_1"}}
+    ctx = MyContext(model_name="anthropic", user_id="123")
+    list(
+        remote_pregel.stream(
+            {"input": "data"}, config, context=ctx, stream_mode="values"
+        )
+    )
+
+    _, kwargs = mock_sync_client.runs.stream.call_args
+    assert kwargs["context"] == ctx
+
+
+def test_stream_context_base_model():
+    """Test that a BaseModel context is passed through to the SDK client."""
+
+    class MyContext(BaseModel):
+        model_name: str
+        user_id: str
+
+    mock_sync_client = MagicMock()
+    mock_sync_client.runs.stream.return_value = [
+        StreamPart(event="values", data={"chunk": "data1"}),
+    ]
+
+    remote_pregel = RemoteGraph(
+        "test_graph_id",
+        sync_client=mock_sync_client,
+    )
+
+    config = {"configurable": {"thread_id": "thread_1"}}
+    ctx = MyContext(model_name="anthropic", user_id="123")
+    list(
+        remote_pregel.stream(
+            {"input": "data"}, config, context=ctx, stream_mode="values"
+        )
+    )
+
+    _, kwargs = mock_sync_client.runs.stream.call_args
+    assert kwargs["context"] == ctx
+
+
 @pytest.mark.skip(
     "Unskip this test to manually test the LangSmith Deployment integration"
 )

libs/langgraph/tests/test_retry.py

@@ -5,6 +5,7 @@ from typing_extensions import TypedDict
 
 from langgraph.graph import START, StateGraph
 from langgraph.pregel._retry import _checkpoint_ns_for_parent_command, _should_retry_on
+from langgraph.runtime import Runtime
 from langgraph.types import RetryPolicy
 
 
@@ -168,10 +169,15 @@ def test_graph_with_single_retry_policy():
         foo: str
 
     attempt_count = 0
+    attempt_numbers: list[int] = []
+    first_attempt_times: list[float | None] = []
 
-    def failing_node(state: State):
+    def failing_node(state: State, runtime: Runtime):
         nonlocal attempt_count
         attempt_count += 1
+        assert runtime.execution_info.node_attempt == attempt_count
+        attempt_numbers.append(runtime.execution_info.node_attempt)
+        first_attempt_times.append(runtime.execution_info.node_first_attempt_time)
         if attempt_count < 3:  # Fail the first two attempts
             raise ValueError("Intentional failure")
         return {"foo": "success"}
@@ -203,6 +209,11 @@ def test_graph_with_single_retry_policy():
 
     # Verify retry behavior
     assert attempt_count == 3  # The node should have been tried 3 times
+    assert attempt_numbers == [1, 2, 3]
+    assert len(first_attempt_times) == 3
+    assert first_attempt_times[0] is not None
+    assert first_attempt_times[1] == first_attempt_times[0]
+    assert first_attempt_times[2] == first_attempt_times[0]
     assert result["foo"] == "other_node"  # Final result should be from other_node
 
     # Verify the sleep intervals
@@ -210,6 +221,30 @@ def test_graph_with_single_retry_policy():
     assert call_args_list == [0.01, 0.02]
 
 
+def test_runtime_execution_info_defaults_without_retry():
+    """Test execution_info defaults when no retry and no config are provided."""
+
+    class State(TypedDict):
+        foo: str
+
+    captured = {}
+
+    def node(state: State, runtime: Runtime):
+        captured["node_attempt"] = runtime.execution_info.node_attempt
+        captured["node_first_attempt_time"] = (
+            runtime.execution_info.node_first_attempt_time
+        )
+        return {"foo": "ok"}
+
+    graph = StateGraph(State).add_node("node", node).add_edge(START, "node").compile()
+
+    result = graph.invoke({"foo": ""})
+
+    assert result["foo"] == "ok"
+    assert captured["node_attempt"] == 1
+    assert isinstance(captured["node_first_attempt_time"], float)
+
+
 def test_graph_with_jitter_retry_policy():
     """Test a graph with a RetryPolicy that uses jitter."""
 

libs/langgraph/tests/test_stream_v2.py

@@ -1129,7 +1129,7 @@ _OutputT = TypeVar("_OutputT")
 _StateT = TypeVar("_StateT")
 
 
-def _check_type_narrowing(part: StreamPart[_OutputT, _StateT]) -> None:
+def _check_type_narrowing(part: StreamPart[_StateT, _OutputT]) -> None:
     """Compile-time type narrowing checks — never called at runtime."""
     if part["type"] == "values":
         assert_type(part, ValuesStreamPart[_OutputT])

libs/langgraph/tests/test_time_travel.py

@@ -1116,6 +1116,631 @@ def test_subgraph_replay_from_subgraph_checkpoint(
     assert "post" in final_result["value"]
 
 
+def test_subgraph_time_travel_to_first_interrupt(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Time travel to a subgraph checkpoint at the FIRST interrupt.
+
+    Architecture:
+      Parent:    START --> executor (subgraph, checkpointer=True) --> END
+      Executor:  START --> step_a --> ask_1 (interrupt) --> ask_2 (interrupt) --> END
+
+    Flow: run through both interrupts, then time travel back to the subgraph
+    checkpoint captured at the first interrupt. ask_1 should re-fire,
+    step_a should NOT re-run. Then resume through both interrupts with new answers.
+    """
+
+    called: list[str] = []
+
+    def step_a(state: State) -> State:
+        called.append("step_a")
+        return {"value": ["step_a_done"]}
+
+    def ask_1(state: State) -> State:
+        called.append("ask_1")
+        answer = interrupt("Question 1?")
+        return {"value": [f"ask_1:{answer}"]}
+
+    def ask_2(state: State) -> State:
+        called.append("ask_2")
+        answer = interrupt("Question 2?")
+        return {"value": [f"ask_2:{answer}"]}
+
+    executor = (
+        StateGraph(State)
+        .add_node("step_a", step_a)
+        .add_node("ask_1", ask_1)
+        .add_node("ask_2", ask_2)
+        .add_edge(START, "step_a")
+        .add_edge("step_a", "ask_1")
+        .add_edge("ask_1", "ask_2")
+        .add_edge("ask_2", "__end__")
+        .compile(checkpointer=True)
+    )
+
+    graph = (
+        StateGraph(State)
+        .add_node("executor", executor)
+        .add_edge(START, "executor")
+        .compile(checkpointer=sync_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # Run until first interrupt (ask_1)
+    result = graph.invoke({"value": []}, config)
+    assert "__interrupt__" in result
+    assert result["__interrupt__"][0].value == "Question 1?"
+
+    # Capture subgraph state at the first interrupt
+    parent_state = graph.get_state(config, subgraphs=True)
+    sub_config_at_first = parent_state.tasks[0].state.config
+
+    # Resume first interrupt
+    result = graph.invoke(Command(resume="answer_1"), config)
+    assert result["__interrupt__"][0].value == "Question 2?"
+
+    # Resume second interrupt to complete
+    result = graph.invoke(Command(resume="answer_2"), config)
+    assert "__interrupt__" not in result
+
+    # --- Scenario 1: Replay from subgraph checkpoint at 1st interrupt ---
+    called.clear()
+    replay_result = graph.invoke(None, sub_config_at_first)
+    assert "__interrupt__" in replay_result
+    assert replay_result["__interrupt__"][0].value == "Question 1?"
+    # step_a should NOT re-run — it was before this checkpoint
+    assert "step_a" not in called
+    # ask_1 re-fires because the interrupt replays
+    assert "ask_1" in called
+
+    # --- Scenario 2: Fork from subgraph checkpoint at 1st interrupt ---
+    called.clear()
+    fork_config = graph.update_state(sub_config_at_first, {"value": ["forked"]})
+    fork_result = graph.invoke(None, fork_config)
+    assert "__interrupt__" in fork_result
+    assert fork_result["__interrupt__"][0].value == "Question 1?"
+    assert "step_a" not in called
+    assert "ask_1" in called
+
+
+def test_subgraph_time_travel_to_second_interrupt(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Time travel to a subgraph checkpoint at the SECOND interrupt.
+
+    Architecture:
+      Parent:    START --> executor (subgraph, checkpointer=True) --> END
+      Executor:  START --> step_a --> ask_1 (interrupt) --> ask_2 (interrupt) --> END
+
+    Flow: run through both interrupts resuming each, then time travel back to the
+    subgraph checkpoint at the second interrupt. Only ask_2 should re-fire.
+    Then resume with a new answer and verify state.
+    """
+
+    called: list[str] = []
+
+    def step_a(state: State) -> State:
+        called.append("step_a")
+        return {"value": ["step_a_done"]}
+
+    def ask_1(state: State) -> State:
+        called.append("ask_1")
+        answer = interrupt("Question 1?")
+        return {"value": [f"ask_1:{answer}"]}
+
+    def ask_2(state: State) -> State:
+        called.append("ask_2")
+        answer = interrupt("Question 2?")
+        return {"value": [f"ask_2:{answer}"]}
+
+    executor = (
+        StateGraph(State)
+        .add_node("step_a", step_a)
+        .add_node("ask_1", ask_1)
+        .add_node("ask_2", ask_2)
+        .add_edge(START, "step_a")
+        .add_edge("step_a", "ask_1")
+        .add_edge("ask_1", "ask_2")
+        .add_edge("ask_2", "__end__")
+        .compile(checkpointer=True)
+    )
+
+    graph = (
+        StateGraph(State)
+        .add_node("executor", executor)
+        .add_edge(START, "executor")
+        .compile(checkpointer=sync_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # Run until first interrupt (ask_1)
+    result = graph.invoke({"value": []}, config)
+    assert result["__interrupt__"][0].value == "Question 1?"
+
+    # Resume first interrupt
+    result = graph.invoke(Command(resume="answer_1"), config)
+    assert result["__interrupt__"][0].value == "Question 2?"
+
+    # Capture subgraph state at the second interrupt
+    parent_state = graph.get_state(config, subgraphs=True)
+    sub_config = parent_state.tasks[0].state.config
+
+    # Resume second interrupt to complete the graph
+    result = graph.invoke(Command(resume="answer_2"), config)
+    assert "__interrupt__" not in result
+
+    # --- Scenario 1: Replay from subgraph checkpoint at 2nd interrupt ---
+    called.clear()
+    replay_result = graph.invoke(None, sub_config)
+    assert "__interrupt__" in replay_result
+    assert replay_result["__interrupt__"][0].value == "Question 2?"
+    # step_a and ask_1 should NOT re-run — they were before this checkpoint
+    assert "step_a" not in called
+    assert "ask_1" not in called
+
+    # --- Scenario 2: Fork from subgraph checkpoint at 2nd interrupt ---
+    called.clear()
+    fork_config = graph.update_state(sub_config, {"value": ["forked"]})
+    fork_result = graph.invoke(None, fork_config)
+    assert "__interrupt__" in fork_result
+    assert fork_result["__interrupt__"][0].value == "Question 2?"
+    assert "step_a" not in called
+    assert "ask_1" not in called
+
+
+def test_subgraph_time_travel_after_completion(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Time travel to a subgraph checkpoint AFTER both interrupts are resolved.
+
+    Architecture:
+      Parent:    START --> executor (subgraph, checkpointer=True) --> END
+      Executor:  START --> step_a --> ask_1 (interrupt) --> ask_2 (interrupt) --> END
+
+    After completing the full flow, capture the subgraph's final state checkpoint
+    and replay from it — should be a no-op (no nodes re-run).
+    """
+
+    called: list[str] = []
+
+    def step_a(state: State) -> State:
+        called.append("step_a")
+        return {"value": ["step_a_done"]}
+
+    def ask_1(state: State) -> State:
+        called.append("ask_1")
+        answer = interrupt("Question 1?")
+        return {"value": [f"ask_1:{answer}"]}
+
+    def ask_2(state: State) -> State:
+        called.append("ask_2")
+        answer = interrupt("Question 2?")
+        return {"value": [f"ask_2:{answer}"]}
+
+    executor = (
+        StateGraph(State)
+        .add_node("step_a", step_a)
+        .add_node("ask_1", ask_1)
+        .add_node("ask_2", ask_2)
+        .add_edge(START, "step_a")
+        .add_edge("step_a", "ask_1")
+        .add_edge("ask_1", "ask_2")
+        .add_edge("ask_2", "__end__")
+        .compile(checkpointer=True)
+    )
+
+    graph = (
+        StateGraph(State)
+        .add_node("executor", executor)
+        .add_edge(START, "executor")
+        .compile(checkpointer=sync_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # Run through both interrupts
+    graph.invoke({"value": []}, config)
+    graph.invoke(Command(resume="answer_1"), config)
+
+    # Before resuming 2nd interrupt, get state history to find the
+    # subgraph checkpoint that will exist after ask_2 completes
+    graph.invoke(Command(resume="answer_2"), config)
+
+    # Get the final parent state — no pending tasks
+    final_state = graph.get_state(config)
+    assert len(final_state.tasks) == 0
+
+    # Replay from the final parent checkpoint — should be a no-op
+    called.clear()
+    replay_result = graph.invoke(None, final_state.config)
+    assert "__interrupt__" not in replay_result
+    assert "step_a" not in called
+    assert "ask_1" not in called
+    assert "ask_2" not in called
+    # All values should be present
+    assert "step_a_done" in replay_result["value"]
+    assert "ask_1:answer_1" in replay_result["value"]
+    assert "ask_2:answer_2" in replay_result["value"]
+
+
+def test_3_levels_deep_time_travel_to_first_interrupt(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Time travel to the innermost subgraph checkpoint at the FIRST interrupt.
+
+    Architecture:
+      Parent:  START --> outer (subgraph, checkpointer=True) --> END
+      Outer:   START --> inner (subgraph, checkpointer=True) --> END
+      Inner:   START --> step_a --> ask_1 (interrupt) --> ask_2 (interrupt) --> END
+    """
+
+    called: list[str] = []
+
+    def step_a(state: State) -> State:
+        called.append("step_a")
+        return {"value": ["step_a_done"]}
+
+    def ask_1(state: State) -> State:
+        called.append("ask_1")
+        answer = interrupt("Question 1?")
+        return {"value": [f"ask_1:{answer}"]}
+
+    def ask_2(state: State) -> State:
+        called.append("ask_2")
+        answer = interrupt("Question 2?")
+        return {"value": [f"ask_2:{answer}"]}
+
+    inner = (
+        StateGraph(State)
+        .add_node("step_a", step_a)
+        .add_node("ask_1", ask_1)
+        .add_node("ask_2", ask_2)
+        .add_edge(START, "step_a")
+        .add_edge("step_a", "ask_1")
+        .add_edge("ask_1", "ask_2")
+        .add_edge("ask_2", "__end__")
+        .compile(checkpointer=True)
+    )
+
+    middle = (
+        StateGraph(State)
+        .add_node("inner", inner)
+        .add_edge(START, "inner")
+        .compile(checkpointer=True)
+    )
+
+    graph = (
+        StateGraph(State)
+        .add_node("outer", middle)
+        .add_edge(START, "outer")
+        .compile(checkpointer=sync_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # Run until first interrupt
+    result = graph.invoke({"value": []}, config)
+    assert result["__interrupt__"][0].value == "Question 1?"
+
+    # Capture innermost subgraph state at the first interrupt
+    parent_state = graph.get_state(config, subgraphs=True)
+    mid_state = parent_state.tasks[0].state
+    inner_config = mid_state.tasks[0].state.config
+
+    # Resume through both interrupts to complete
+    graph.invoke(Command(resume="answer_1"), config)
+    graph.invoke(Command(resume="answer_2"), config)
+
+    # --- Scenario 1: Replay from innermost checkpoint at 1st interrupt ---
+    called.clear()
+    replay_result = graph.invoke(None, inner_config)
+    assert "__interrupt__" in replay_result
+    assert replay_result["__interrupt__"][0].value == "Question 1?"
+    assert "step_a" not in called
+    assert "ask_1" in called
+
+    # --- Scenario 2: Fork from innermost checkpoint at 1st interrupt ---
+    called.clear()
+    fork_config = graph.update_state(inner_config, {"value": ["forked"]})
+    fork_result = graph.invoke(None, fork_config)
+    assert "__interrupt__" in fork_result
+    assert fork_result["__interrupt__"][0].value == "Question 1?"
+    assert "step_a" not in called
+    assert "ask_1" in called
+
+
+def test_3_levels_deep_time_travel_to_second_interrupt(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Time travel to the innermost subgraph checkpoint at the SECOND interrupt.
+
+    Architecture:
+      Parent:  START --> outer (subgraph, checkpointer=True) --> END
+      Outer:   START --> inner (subgraph, checkpointer=True) --> END
+      Inner:   START --> step_a --> ask_1 (interrupt) --> ask_2 (interrupt) --> END
+    """
+
+    called: list[str] = []
+
+    def step_a(state: State) -> State:
+        called.append("step_a")
+        return {"value": ["step_a_done"]}
+
+    def ask_1(state: State) -> State:
+        called.append("ask_1")
+        answer = interrupt("Question 1?")
+        return {"value": [f"ask_1:{answer}"]}
+
+    def ask_2(state: State) -> State:
+        called.append("ask_2")
+        answer = interrupt("Question 2?")
+        return {"value": [f"ask_2:{answer}"]}
+
+    inner = (
+        StateGraph(State)
+        .add_node("step_a", step_a)
+        .add_node("ask_1", ask_1)
+        .add_node("ask_2", ask_2)
+        .add_edge(START, "step_a")
+        .add_edge("step_a", "ask_1")
+        .add_edge("ask_1", "ask_2")
+        .add_edge("ask_2", "__end__")
+        .compile(checkpointer=True)
+    )
+
+    middle = (
+        StateGraph(State)
+        .add_node("inner", inner)
+        .add_edge(START, "inner")
+        .compile(checkpointer=True)
+    )
+
+    graph = (
+        StateGraph(State)
+        .add_node("outer", middle)
+        .add_edge(START, "outer")
+        .compile(checkpointer=sync_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # Run until first interrupt
+    graph.invoke({"value": []}, config)
+
+    # Resume first interrupt
+    result = graph.invoke(Command(resume="answer_1"), config)
+    assert result["__interrupt__"][0].value == "Question 2?"
+
+    # Capture innermost subgraph state at the second interrupt
+    parent_state = graph.get_state(config, subgraphs=True)
+    mid_state = parent_state.tasks[0].state
+    inner_config = mid_state.tasks[0].state.config
+
+    # Resume second interrupt to complete
+    graph.invoke(Command(resume="answer_2"), config)
+
+    # --- Scenario 1: Replay from innermost checkpoint at 2nd interrupt ---
+    called.clear()
+    replay_result = graph.invoke(None, inner_config)
+    assert "__interrupt__" in replay_result
+    assert replay_result["__interrupt__"][0].value == "Question 2?"
+    assert "step_a" not in called
+    assert "ask_1" not in called
+
+    # --- Scenario 2: Fork from innermost checkpoint at 2nd interrupt ---
+    called.clear()
+    fork_config = graph.update_state(inner_config, {"value": ["forked"]})
+    fork_result = graph.invoke(None, fork_config)
+    assert "__interrupt__" in fork_result
+    assert fork_result["__interrupt__"][0].value == "Question 2?"
+    assert "step_a" not in called
+    assert "ask_1" not in called
+
+
+def test_3_levels_deep_time_travel_to_middle_subgraph(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Time travel to the MIDDLE-level subgraph checkpoint (not innermost).
+
+    Architecture:
+      Parent:  START --> outer (subgraph, checkpointer=True) --> END
+      Outer:   START --> inner (subgraph, checkpointer=True) --> END
+      Inner:   START --> step_a --> ask_1 (interrupt) --> ask_2 (interrupt) --> END
+
+    After completing the full flow, time travel back to the middle subgraph's
+    checkpoint at the second interrupt. The middle subgraph should replay the
+    inner subgraph from the correct point.
+    """
+
+    called: list[str] = []
+
+    def step_a(state: State) -> State:
+        called.append("step_a")
+        return {"value": ["step_a_done"]}
+
+    def ask_1(state: State) -> State:
+        called.append("ask_1")
+        answer = interrupt("Question 1?")
+        return {"value": [f"ask_1:{answer}"]}
+
+    def ask_2(state: State) -> State:
+        called.append("ask_2")
+        answer = interrupt("Question 2?")
+        return {"value": [f"ask_2:{answer}"]}
+
+    inner = (
+        StateGraph(State)
+        .add_node("step_a", step_a)
+        .add_node("ask_1", ask_1)
+        .add_node("ask_2", ask_2)
+        .add_edge(START, "step_a")
+        .add_edge("step_a", "ask_1")
+        .add_edge("ask_1", "ask_2")
+        .add_edge("ask_2", "__end__")
+        .compile(checkpointer=True)
+    )
+
+    middle = (
+        StateGraph(State)
+        .add_node("inner", inner)
+        .add_edge(START, "inner")
+        .compile(checkpointer=True)
+    )
+
+    graph = (
+        StateGraph(State)
+        .add_node("outer", middle)
+        .add_edge(START, "outer")
+        .compile(checkpointer=sync_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # Run until first interrupt
+    graph.invoke({"value": []}, config)
+
+    # Resume first, capture middle config at second interrupt
+    graph.invoke(Command(resume="answer_1"), config)
+    parent_state = graph.get_state(config, subgraphs=True)
+    mid_config = parent_state.tasks[0].state.config
+
+    # Resume second to complete
+    graph.invoke(Command(resume="answer_2"), config)
+
+    # --- Scenario 1: Replay from middle-level subgraph checkpoint ---
+    # The middle subgraph's checkpoint knows about the inner subgraph's state
+    # via checkpoint_map, so the inner replays from the correct point.
+    called.clear()
+    replay_result = graph.invoke(None, mid_config)
+    assert "__interrupt__" in replay_result
+
+    # --- Scenario 2: Fork from middle-level subgraph checkpoint ---
+    called.clear()
+    fork_config = graph.update_state(mid_config, {"value": ["forked"]})
+    fork_result = graph.invoke(None, fork_config)
+    assert "__interrupt__" in fork_result
+
+
+def test_3_levels_deep_middle_has_interrupts(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Time travel when the MIDDLE subgraph itself has interrupts.
+
+    Architecture:
+      Parent:  START --> outer (subgraph, checkpointer=True) --> END
+      Outer:   START --> pre (interrupt) --> inner (subgraph, checkpointer=True) --> END
+      Inner:   START --> step_a --> ask_1 (interrupt) --> END
+
+    Flow: run through both interrupts (pre then ask_1), then time travel back to
+    the middle subgraph checkpoint at each interrupt point.
+    """
+
+    called: list[str] = []
+
+    def pre(state: State) -> State:
+        called.append("pre")
+        answer = interrupt("Pre-question?")
+        return {"value": [f"pre:{answer}"]}
+
+    def step_a(state: State) -> State:
+        called.append("step_a")
+        return {"value": ["step_a_done"]}
+
+    def ask_1(state: State) -> State:
+        called.append("ask_1")
+        answer = interrupt("Question 1?")
+        return {"value": [f"ask_1:{answer}"]}
+
+    inner = (
+        StateGraph(State)
+        .add_node("step_a", step_a)
+        .add_node("ask_1", ask_1)
+        .add_edge(START, "step_a")
+        .add_edge("step_a", "ask_1")
+        .add_edge("ask_1", "__end__")
+        .compile(checkpointer=True)
+    )
+
+    middle = (
+        StateGraph(State)
+        .add_node("pre", pre)
+        .add_node("inner", inner)
+        .add_edge(START, "pre")
+        .add_edge("pre", "inner")
+        .add_edge("inner", "__end__")
+        .compile(checkpointer=True)
+    )
+
+    graph = (
+        StateGraph(State)
+        .add_node("outer", middle)
+        .add_edge(START, "outer")
+        .compile(checkpointer=sync_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # Run until first interrupt (pre in middle subgraph)
+    result = graph.invoke({"value": []}, config)
+    assert result["__interrupt__"][0].value == "Pre-question?"
+
+    # Capture middle subgraph config at the pre interrupt
+    parent_state = graph.get_state(config, subgraphs=True)
+    mid_config_at_pre = parent_state.tasks[0].state.config
+
+    # Resume pre, hits ask_1 in inner subgraph
+    result = graph.invoke(Command(resume="pre_answer"), config)
+    assert result["__interrupt__"][0].value == "Question 1?"
+
+    # Capture middle subgraph config at the ask_1 interrupt
+    parent_state = graph.get_state(config, subgraphs=True)
+    mid_config_at_ask1 = parent_state.tasks[0].state.config
+
+    # Resume ask_1 to complete
+    result = graph.invoke(Command(resume="answer_1"), config)
+    assert "__interrupt__" not in result
+
+    # --- Time travel to middle checkpoint at pre interrupt ---
+    called.clear()
+    replay_result = graph.invoke(None, mid_config_at_pre)
+    assert "__interrupt__" in replay_result
+    assert replay_result["__interrupt__"][0].value == "Pre-question?"
+    # pre should re-fire (interrupt replays), but nothing else should run
+    assert "pre" in called
+    assert "step_a" not in called
+    assert "ask_1" not in called
+
+    # Fork from middle checkpoint at pre interrupt
+    called.clear()
+    fork_config = graph.update_state(mid_config_at_pre, {"value": ["forked"]})
+    fork_result = graph.invoke(None, fork_config)
+    assert "__interrupt__" in fork_result
+    assert fork_result["__interrupt__"][0].value == "Pre-question?"
+    assert "pre" in called
+    assert "step_a" not in called
+
+    # --- Time travel to middle checkpoint at ask_1 interrupt ---
+    called.clear()
+    replay_result = graph.invoke(None, mid_config_at_ask1)
+    assert "__interrupt__" in replay_result
+    assert replay_result["__interrupt__"][0].value == "Question 1?"
+    # pre should NOT re-run (it completed before this checkpoint)
+    assert "pre" not in called
+    # ask_1 re-fires
+    assert "ask_1" in called
+
+    # Fork from middle checkpoint at ask_1 interrupt
+    called.clear()
+    fork_config = graph.update_state(mid_config_at_ask1, {"value": ["forked"]})
+    fork_result = graph.invoke(None, fork_config)
+    assert "__interrupt__" in fork_result
+    assert fork_result["__interrupt__"][0].value == "Question 1?"
+    assert "pre" not in called
+    assert "ask_1" in called
+
+
 # ---------------------------------------------------------------------------
 # Section 6: __copy__ / update_state(None)
 # ---------------------------------------------------------------------------

libs/langgraph/tests/test_time_travel_async.py

@@ -1051,6 +1051,552 @@ async def test_subgraph_interrupt_full_flow_no_sub_checkpointer(
     assert "post" in final_result["value"]
 
 
+@NEEDS_CONTEXTVARS
+async def test_subgraph_time_travel_to_first_interrupt_async(
+    async_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Time travel to a subgraph checkpoint at the FIRST interrupt (async)."""
+
+    called: list[str] = []
+
+    async def step_a(state: State) -> State:
+        called.append("step_a")
+        return {"value": ["step_a_done"]}
+
+    async def ask_1(state: State) -> State:
+        called.append("ask_1")
+        answer = interrupt("Question 1?")
+        return {"value": [f"ask_1:{answer}"]}
+
+    async def ask_2(state: State) -> State:
+        called.append("ask_2")
+        answer = interrupt("Question 2?")
+        return {"value": [f"ask_2:{answer}"]}
+
+    executor = (
+        StateGraph(State)
+        .add_node("step_a", step_a)
+        .add_node("ask_1", ask_1)
+        .add_node("ask_2", ask_2)
+        .add_edge(START, "step_a")
+        .add_edge("step_a", "ask_1")
+        .add_edge("ask_1", "ask_2")
+        .add_edge("ask_2", "__end__")
+        .compile(checkpointer=True)
+    )
+
+    graph = (
+        StateGraph(State)
+        .add_node("executor", executor)
+        .add_edge(START, "executor")
+        .compile(checkpointer=async_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # Run until first interrupt (ask_1)
+    result = await graph.ainvoke({"value": []}, config)
+    assert result["__interrupt__"][0].value == "Question 1?"
+
+    # Capture subgraph state at the first interrupt
+    parent_state = await graph.aget_state(config, subgraphs=True)
+    sub_config_at_first = parent_state.tasks[0].state.config
+
+    # Resume through both interrupts to complete
+    await graph.ainvoke(Command(resume="answer_1"), config)
+    await graph.ainvoke(Command(resume="answer_2"), config)
+
+    # --- Scenario 1: Replay from subgraph checkpoint at 1st interrupt ---
+    called.clear()
+    replay_result = await graph.ainvoke(None, sub_config_at_first)
+    assert "__interrupt__" in replay_result
+    assert replay_result["__interrupt__"][0].value == "Question 1?"
+    assert "step_a" not in called
+    assert "ask_1" in called
+
+    # --- Scenario 2: Fork from subgraph checkpoint at 1st interrupt ---
+    called.clear()
+    fork_config = await graph.aupdate_state(sub_config_at_first, {"value": ["forked"]})
+    fork_result = await graph.ainvoke(None, fork_config)
+    assert "__interrupt__" in fork_result
+    assert fork_result["__interrupt__"][0].value == "Question 1?"
+    assert "step_a" not in called
+    assert "ask_1" in called
+
+
+@NEEDS_CONTEXTVARS
+async def test_subgraph_time_travel_to_second_interrupt_async(
+    async_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Time travel to a subgraph checkpoint at the SECOND interrupt (async)."""
+
+    called: list[str] = []
+
+    async def step_a(state: State) -> State:
+        called.append("step_a")
+        return {"value": ["step_a_done"]}
+
+    async def ask_1(state: State) -> State:
+        called.append("ask_1")
+        answer = interrupt("Question 1?")
+        return {"value": [f"ask_1:{answer}"]}
+
+    async def ask_2(state: State) -> State:
+        called.append("ask_2")
+        answer = interrupt("Question 2?")
+        return {"value": [f"ask_2:{answer}"]}
+
+    executor = (
+        StateGraph(State)
+        .add_node("step_a", step_a)
+        .add_node("ask_1", ask_1)
+        .add_node("ask_2", ask_2)
+        .add_edge(START, "step_a")
+        .add_edge("step_a", "ask_1")
+        .add_edge("ask_1", "ask_2")
+        .add_edge("ask_2", "__end__")
+        .compile(checkpointer=True)
+    )
+
+    graph = (
+        StateGraph(State)
+        .add_node("executor", executor)
+        .add_edge(START, "executor")
+        .compile(checkpointer=async_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # Run until first interrupt
+    await graph.ainvoke({"value": []}, config)
+
+    # Resume first interrupt
+    result = await graph.ainvoke(Command(resume="answer_1"), config)
+    assert result["__interrupt__"][0].value == "Question 2?"
+
+    # Capture subgraph state at the second interrupt
+    parent_state = await graph.aget_state(config, subgraphs=True)
+    sub_config = parent_state.tasks[0].state.config
+
+    # Resume second interrupt to complete
+    await graph.ainvoke(Command(resume="answer_2"), config)
+
+    # --- Scenario 1: Replay from subgraph checkpoint at 2nd interrupt ---
+    called.clear()
+    replay_result = await graph.ainvoke(None, sub_config)
+    assert "__interrupt__" in replay_result
+    assert replay_result["__interrupt__"][0].value == "Question 2?"
+    assert "step_a" not in called
+    assert "ask_1" not in called
+
+    # --- Scenario 2: Fork from subgraph checkpoint at 2nd interrupt ---
+    called.clear()
+    fork_config = await graph.aupdate_state(sub_config, {"value": ["forked"]})
+    fork_result = await graph.ainvoke(None, fork_config)
+    assert "__interrupt__" in fork_result
+    assert fork_result["__interrupt__"][0].value == "Question 2?"
+    assert "step_a" not in called
+    assert "ask_1" not in called
+
+
+@NEEDS_CONTEXTVARS
+async def test_subgraph_time_travel_after_completion_async(
+    async_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Time travel to a subgraph checkpoint AFTER both interrupts resolved (async)."""
+
+    called: list[str] = []
+
+    async def step_a(state: State) -> State:
+        called.append("step_a")
+        return {"value": ["step_a_done"]}
+
+    async def ask_1(state: State) -> State:
+        called.append("ask_1")
+        answer = interrupt("Question 1?")
+        return {"value": [f"ask_1:{answer}"]}
+
+    async def ask_2(state: State) -> State:
+        called.append("ask_2")
+        answer = interrupt("Question 2?")
+        return {"value": [f"ask_2:{answer}"]}
+
+    executor = (
+        StateGraph(State)
+        .add_node("step_a", step_a)
+        .add_node("ask_1", ask_1)
+        .add_node("ask_2", ask_2)
+        .add_edge(START, "step_a")
+        .add_edge("step_a", "ask_1")
+        .add_edge("ask_1", "ask_2")
+        .add_edge("ask_2", "__end__")
+        .compile(checkpointer=True)
+    )
+
+    graph = (
+        StateGraph(State)
+        .add_node("executor", executor)
+        .add_edge(START, "executor")
+        .compile(checkpointer=async_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    await graph.ainvoke({"value": []}, config)
+    await graph.ainvoke(Command(resume="answer_1"), config)
+    await graph.ainvoke(Command(resume="answer_2"), config)
+
+    final_state = await graph.aget_state(config)
+    assert len(final_state.tasks) == 0
+
+    # Replay from the final parent checkpoint — should be a no-op
+    called.clear()
+    replay_result = await graph.ainvoke(None, final_state.config)
+    assert "__interrupt__" not in replay_result
+    assert "step_a" not in called
+    assert "ask_1" not in called
+    assert "ask_2" not in called
+    assert "step_a_done" in replay_result["value"]
+    assert "ask_1:answer_1" in replay_result["value"]
+    assert "ask_2:answer_2" in replay_result["value"]
+
+
+@NEEDS_CONTEXTVARS
+async def test_3_levels_deep_time_travel_to_first_interrupt_async(
+    async_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Time travel to innermost subgraph checkpoint at FIRST interrupt (async, 3 levels)."""
+
+    called: list[str] = []
+
+    async def step_a(state: State) -> State:
+        called.append("step_a")
+        return {"value": ["step_a_done"]}
+
+    async def ask_1(state: State) -> State:
+        called.append("ask_1")
+        answer = interrupt("Question 1?")
+        return {"value": [f"ask_1:{answer}"]}
+
+    async def ask_2(state: State) -> State:
+        called.append("ask_2")
+        answer = interrupt("Question 2?")
+        return {"value": [f"ask_2:{answer}"]}
+
+    inner = (
+        StateGraph(State)
+        .add_node("step_a", step_a)
+        .add_node("ask_1", ask_1)
+        .add_node("ask_2", ask_2)
+        .add_edge(START, "step_a")
+        .add_edge("step_a", "ask_1")
+        .add_edge("ask_1", "ask_2")
+        .add_edge("ask_2", "__end__")
+        .compile(checkpointer=True)
+    )
+
+    middle = (
+        StateGraph(State)
+        .add_node("inner", inner)
+        .add_edge(START, "inner")
+        .compile(checkpointer=True)
+    )
+
+    graph = (
+        StateGraph(State)
+        .add_node("outer", middle)
+        .add_edge(START, "outer")
+        .compile(checkpointer=async_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    result = await graph.ainvoke({"value": []}, config)
+    assert result["__interrupt__"][0].value == "Question 1?"
+
+    parent_state = await graph.aget_state(config, subgraphs=True)
+    mid_state = parent_state.tasks[0].state
+    inner_config = mid_state.tasks[0].state.config
+
+    await graph.ainvoke(Command(resume="answer_1"), config)
+    await graph.ainvoke(Command(resume="answer_2"), config)
+
+    # --- Scenario 1: Replay from innermost checkpoint at 1st interrupt ---
+    called.clear()
+    replay_result = await graph.ainvoke(None, inner_config)
+    assert "__interrupt__" in replay_result
+    assert replay_result["__interrupt__"][0].value == "Question 1?"
+    assert "step_a" not in called
+    assert "ask_1" in called
+
+    # --- Scenario 2: Fork from innermost checkpoint at 1st interrupt ---
+    called.clear()
+    fork_config = await graph.aupdate_state(inner_config, {"value": ["forked"]})
+    fork_result = await graph.ainvoke(None, fork_config)
+    assert "__interrupt__" in fork_result
+    assert fork_result["__interrupt__"][0].value == "Question 1?"
+    assert "step_a" not in called
+    assert "ask_1" in called
+
+
+@NEEDS_CONTEXTVARS
+async def test_3_levels_deep_time_travel_to_second_interrupt_async(
+    async_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Time travel to innermost subgraph checkpoint at SECOND interrupt (async, 3 levels)."""
+
+    called: list[str] = []
+
+    async def step_a(state: State) -> State:
+        called.append("step_a")
+        return {"value": ["step_a_done"]}
+
+    async def ask_1(state: State) -> State:
+        called.append("ask_1")
+        answer = interrupt("Question 1?")
+        return {"value": [f"ask_1:{answer}"]}
+
+    async def ask_2(state: State) -> State:
+        called.append("ask_2")
+        answer = interrupt("Question 2?")
+        return {"value": [f"ask_2:{answer}"]}
+
+    inner = (
+        StateGraph(State)
+        .add_node("step_a", step_a)
+        .add_node("ask_1", ask_1)
+        .add_node("ask_2", ask_2)
+        .add_edge(START, "step_a")
+        .add_edge("step_a", "ask_1")
+        .add_edge("ask_1", "ask_2")
+        .add_edge("ask_2", "__end__")
+        .compile(checkpointer=True)
+    )
+
+    middle = (
+        StateGraph(State)
+        .add_node("inner", inner)
+        .add_edge(START, "inner")
+        .compile(checkpointer=True)
+    )
+
+    graph = (
+        StateGraph(State)
+        .add_node("outer", middle)
+        .add_edge(START, "outer")
+        .compile(checkpointer=async_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    await graph.ainvoke({"value": []}, config)
+
+    result = await graph.ainvoke(Command(resume="answer_1"), config)
+    assert result["__interrupt__"][0].value == "Question 2?"
+
+    parent_state = await graph.aget_state(config, subgraphs=True)
+    mid_state = parent_state.tasks[0].state
+    inner_config = mid_state.tasks[0].state.config
+
+    await graph.ainvoke(Command(resume="answer_2"), config)
+
+    # --- Scenario 1: Replay ---
+    called.clear()
+    replay_result = await graph.ainvoke(None, inner_config)
+    assert "__interrupt__" in replay_result
+    assert replay_result["__interrupt__"][0].value == "Question 2?"
+    assert "step_a" not in called
+    assert "ask_1" not in called
+
+    # --- Scenario 2: Fork ---
+    called.clear()
+    fork_config = await graph.aupdate_state(inner_config, {"value": ["forked"]})
+    fork_result = await graph.ainvoke(None, fork_config)
+    assert "__interrupt__" in fork_result
+    assert fork_result["__interrupt__"][0].value == "Question 2?"
+    assert "step_a" not in called
+    assert "ask_1" not in called
+
+
+@NEEDS_CONTEXTVARS
+async def test_3_levels_deep_time_travel_to_middle_subgraph_async(
+    async_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Time travel to the MIDDLE-level subgraph checkpoint (async, 3 levels)."""
+
+    called: list[str] = []
+
+    async def step_a(state: State) -> State:
+        called.append("step_a")
+        return {"value": ["step_a_done"]}
+
+    async def ask_1(state: State) -> State:
+        called.append("ask_1")
+        answer = interrupt("Question 1?")
+        return {"value": [f"ask_1:{answer}"]}
+
+    async def ask_2(state: State) -> State:
+        called.append("ask_2")
+        answer = interrupt("Question 2?")
+        return {"value": [f"ask_2:{answer}"]}
+
+    inner = (
+        StateGraph(State)
+        .add_node("step_a", step_a)
+        .add_node("ask_1", ask_1)
+        .add_node("ask_2", ask_2)
+        .add_edge(START, "step_a")
+        .add_edge("step_a", "ask_1")
+        .add_edge("ask_1", "ask_2")
+        .add_edge("ask_2", "__end__")
+        .compile(checkpointer=True)
+    )
+
+    middle = (
+        StateGraph(State)
+        .add_node("inner", inner)
+        .add_edge(START, "inner")
+        .compile(checkpointer=True)
+    )
+
+    graph = (
+        StateGraph(State)
+        .add_node("outer", middle)
+        .add_edge(START, "outer")
+        .compile(checkpointer=async_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    await graph.ainvoke({"value": []}, config)
+    await graph.ainvoke(Command(resume="answer_1"), config)
+
+    parent_state = await graph.aget_state(config, subgraphs=True)
+    mid_config = parent_state.tasks[0].state.config
+
+    await graph.ainvoke(Command(resume="answer_2"), config)
+
+    # --- Scenario 1: Replay from middle-level subgraph checkpoint ---
+    # The middle subgraph's checkpoint knows about the inner subgraph's state
+    # via checkpoint_map, so the inner replays from the correct point.
+    called.clear()
+    replay_result = await graph.ainvoke(None, mid_config)
+    assert "__interrupt__" in replay_result
+
+    # --- Scenario 2: Fork from middle-level subgraph checkpoint ---
+    called.clear()
+    fork_config = await graph.aupdate_state(mid_config, {"value": ["forked"]})
+    fork_result = await graph.ainvoke(None, fork_config)
+    assert "__interrupt__" in fork_result
+
+
+@NEEDS_CONTEXTVARS
+async def test_3_levels_deep_middle_has_interrupts_async(
+    async_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Time travel when the MIDDLE subgraph itself has interrupts (async)."""
+
+    called: list[str] = []
+
+    async def pre(state: State) -> State:
+        called.append("pre")
+        answer = interrupt("Pre-question?")
+        return {"value": [f"pre:{answer}"]}
+
+    async def step_a(state: State) -> State:
+        called.append("step_a")
+        return {"value": ["step_a_done"]}
+
+    async def ask_1(state: State) -> State:
+        called.append("ask_1")
+        answer = interrupt("Question 1?")
+        return {"value": [f"ask_1:{answer}"]}
+
+    inner = (
+        StateGraph(State)
+        .add_node("step_a", step_a)
+        .add_node("ask_1", ask_1)
+        .add_edge(START, "step_a")
+        .add_edge("step_a", "ask_1")
+        .add_edge("ask_1", "__end__")
+        .compile(checkpointer=True)
+    )
+
+    middle = (
+        StateGraph(State)
+        .add_node("pre", pre)
+        .add_node("inner", inner)
+        .add_edge(START, "pre")
+        .add_edge("pre", "inner")
+        .add_edge("inner", "__end__")
+        .compile(checkpointer=True)
+    )
+
+    graph = (
+        StateGraph(State)
+        .add_node("outer", middle)
+        .add_edge(START, "outer")
+        .compile(checkpointer=async_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # Run until first interrupt (pre in middle subgraph)
+    result = await graph.ainvoke({"value": []}, config)
+    assert result["__interrupt__"][0].value == "Pre-question?"
+
+    # Capture middle subgraph config at the pre interrupt
+    parent_state = await graph.aget_state(config, subgraphs=True)
+    mid_config_at_pre = parent_state.tasks[0].state.config
+
+    # Resume pre, hits ask_1 in inner subgraph
+    result = await graph.ainvoke(Command(resume="pre_answer"), config)
+    assert result["__interrupt__"][0].value == "Question 1?"
+
+    # Capture middle subgraph config at the ask_1 interrupt
+    parent_state = await graph.aget_state(config, subgraphs=True)
+    mid_config_at_ask1 = parent_state.tasks[0].state.config
+
+    # Resume ask_1 to complete
+    result = await graph.ainvoke(Command(resume="answer_1"), config)
+    assert "__interrupt__" not in result
+
+    # --- Time travel to middle checkpoint at pre interrupt ---
+    called.clear()
+    replay_result = await graph.ainvoke(None, mid_config_at_pre)
+    assert "__interrupt__" in replay_result
+    assert replay_result["__interrupt__"][0].value == "Pre-question?"
+    assert "pre" in called
+    assert "step_a" not in called
+    assert "ask_1" not in called
+
+    # Fork from middle checkpoint at pre interrupt
+    called.clear()
+    fork_config = await graph.aupdate_state(mid_config_at_pre, {"value": ["forked"]})
+    fork_result = await graph.ainvoke(None, fork_config)
+    assert "__interrupt__" in fork_result
+    assert fork_result["__interrupt__"][0].value == "Pre-question?"
+    assert "pre" in called
+    assert "step_a" not in called
+
+    # --- Time travel to middle checkpoint at ask_1 interrupt ---
+    called.clear()
+    replay_result = await graph.ainvoke(None, mid_config_at_ask1)
+    assert "__interrupt__" in replay_result
+    assert replay_result["__interrupt__"][0].value == "Question 1?"
+    assert "pre" not in called
+    assert "ask_1" in called
+
+    # Fork from middle checkpoint at ask_1 interrupt
+    called.clear()
+    fork_config = await graph.aupdate_state(mid_config_at_ask1, {"value": ["forked"]})
+    fork_result = await graph.ainvoke(None, fork_config)
+    assert "__interrupt__" in fork_result
+    assert fork_result["__interrupt__"][0].value == "Question 1?"
+    assert "pre" not in called
+    assert "ask_1" in called
+
+
 # ---------------------------------------------------------------------------
 # Section 6: __copy__ / update_state(None)
 # ---------------------------------------------------------------------------

libs/langgraph/uv.lock

@@ -1348,7 +1348,7 @@ wheels = [
 
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@@ -1360,14 +1360,14 @@ dependencies = [
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     { name = "uuid-utils" },
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 [[package]]
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-version = "1.1.0"
+version = "1.1.3"
 source = { editable = "." }
 dependencies = [
     { name = "langchain-core" },
@@ -1596,7 +1596,7 @@ test = [
 
 [[package]]
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-version = "3.0.4"
+version = "3.0.5"
 source = { editable = "../checkpoint-postgres" }
 dependencies = [
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@@ -1828,16 +1828,16 @@ dev = [
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     { name = "pytest-mock" },
     { name = "pytest-watch" },
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-    { name = "ty", specifier = "==0.0.21" },
+    { name = "ty", specifier = "==0.0.23" },
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 lint = [
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+    { name = "ruff", specifier = "==0.15.6" },
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-    { name = "ty", specifier = "==0.0.21" },
+    { name = "ty", specifier = "==0.0.23" },
 ]
 test = [
     { name = "pytest" },
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libs/sdk-py/langgraph_sdk/__init__.py

@@ -3,6 +3,6 @@ from langgraph_sdk.client import get_client, get_sync_client
 from langgraph_sdk.encryption import Encryption
 from langgraph_sdk.encryption.types import EncryptionContext
 
-__version__ = "0.3.10"
+__version__ = "0.3.11"
 
 __all__ = ["Auth", "Encryption", "EncryptionContext", "get_client", "get_sync_client"]

libs/sdk-py/langgraph_sdk/_async/cron.py

@@ -4,10 +4,11 @@ from __future__ import annotations
 
 import warnings
 from collections.abc import Mapping, Sequence
-from datetime import datetime
+from datetime import datetime, tzinfo
 from typing import Any
 
 from langgraph_sdk._async.http import HttpClient
+from langgraph_sdk._shared.utilities import _resolve_timezone
 from langgraph_sdk.schema import (
     All,
     Config,
@@ -70,6 +71,7 @@ class CronClient:
         multitask_strategy: str | None = None,
         end_time: datetime | None = None,
         enabled: bool | None = None,
+        timezone: str | tzinfo | None = None,
         stream_mode: StreamMode | Sequence[StreamMode] | None = None,
         stream_subgraphs: bool | None = None,
         stream_resumable: bool | None = None,
@@ -84,7 +86,7 @@ class CronClient:
             assistant_id: The assistant ID or graph name to use for the cron job.
                 If using graph name, will default to first assistant created from that graph.
             schedule: The cron schedule to execute this job on.
-                Schedules are interpreted in UTC.
+                Schedules are interpreted in UTC unless a timezone is specified.
             input: The input to the graph.
             metadata: Metadata to assign to the cron job runs.
             config: The configuration for the assistant.
@@ -100,6 +102,7 @@ class CronClient:
                 Must be one of 'reject', 'interrupt', 'rollback', or 'enqueue'.
             end_time: The time to stop running the cron job. If not provided, the cron job will run indefinitely.
             enabled: Whether the cron job is enabled or not.
+            timezone: IANA timezone for the cron schedule. Accepts a string (e.g. 'America/New_York') or a ``datetime.tzinfo`` instance (e.g. ``ZoneInfo("America/New_York")``).
             stream_mode: The stream mode(s) to use.
             stream_subgraphs: Whether to stream output from subgraphs.
             stream_resumable: Whether to persist the stream chunks in order to resume the stream later.
@@ -152,6 +155,7 @@ class CronClient:
             "webhook": webhook,
             "end_time": end_time.isoformat() if end_time else None,
             "enabled": enabled,
+            "timezone": _resolve_timezone(timezone),
             "stream_mode": stream_mode,
             "stream_subgraphs": stream_subgraphs,
             "stream_resumable": stream_resumable,
@@ -184,6 +188,7 @@ class CronClient:
         multitask_strategy: str | None = None,
         end_time: datetime | None = None,
         enabled: bool | None = None,
+        timezone: str | tzinfo | None = None,
         stream_mode: StreamMode | Sequence[StreamMode] | None = None,
         stream_subgraphs: bool | None = None,
         stream_resumable: bool | None = None,
@@ -197,7 +202,7 @@ class CronClient:
             assistant_id: The assistant ID or graph name to use for the cron job.
                 If using graph name, will default to first assistant created from that graph.
             schedule: The cron schedule to execute this job on.
-                Schedules are interpreted in UTC.
+                Schedules are interpreted in UTC unless a timezone is specified.
             input: The input to the graph.
             metadata: Metadata to assign to the cron job runs.
             config: The configuration for the assistant.
@@ -215,6 +220,7 @@ class CronClient:
                 Must be one of 'reject', 'interrupt', 'rollback', or 'enqueue'.
             end_time: The time to stop running the cron job. If not provided, the cron job will run indefinitely.
             enabled: Whether the cron job is enabled or not.
+            timezone: IANA timezone for the cron schedule. Accepts a string (e.g. 'America/New_York') or a ``datetime.tzinfo`` instance (e.g. ``ZoneInfo("America/New_York")``).
             stream_mode: The stream mode(s) to use.
             stream_subgraphs: Whether to stream output from subgraphs.
             stream_resumable: Whether to persist the stream chunks in order to resume the stream later.
@@ -268,6 +274,7 @@ class CronClient:
             "on_run_completed": on_run_completed,
             "end_time": end_time.isoformat() if end_time else None,
             "enabled": enabled,
+            "timezone": _resolve_timezone(timezone),
             "stream_mode": stream_mode,
             "stream_subgraphs": stream_subgraphs,
             "stream_resumable": stream_resumable,
@@ -324,6 +331,7 @@ class CronClient:
         interrupt_after: All | list[str] | None = None,
         on_run_completed: OnCompletionBehavior | None = None,
         enabled: bool | None = None,
+        timezone: str | tzinfo | None = None,
         stream_mode: StreamMode | Sequence[StreamMode] | None = None,
         stream_subgraphs: bool | None = None,
         stream_resumable: bool | None = None,
@@ -336,7 +344,7 @@ class CronClient:
         Args:
             cron_id: The cron ID to update.
             schedule: The cron schedule to execute this job on.
-                Schedules are interpreted in UTC.
+                Schedules are interpreted in UTC unless a timezone is specified.
             end_time: The end date to stop running the cron.
             input: The input to the graph.
             metadata: Metadata to assign to the cron job runs.
@@ -350,6 +358,7 @@ class CronClient:
                 after execution. 'keep' creates a new thread for each execution but does not
                 clean them up.
             enabled: Enable or disable the cron job.
+            timezone: IANA timezone for the cron schedule. Accepts a string (e.g. 'America/New_York') or a ``datetime.tzinfo`` instance (e.g. ``ZoneInfo("America/New_York")``).
             stream_mode: The stream mode(s) to use.
             stream_subgraphs: Whether to stream output from subgraphs.
             stream_resumable: Whether to persist the stream chunks in order to resume the stream later.
@@ -384,6 +393,7 @@ class CronClient:
             "interrupt_after": interrupt_after,
             "on_run_completed": on_run_completed,
             "enabled": enabled,
+            "timezone": _resolve_timezone(timezone),
             "stream_mode": stream_mode,
             "stream_subgraphs": stream_subgraphs,
             "stream_resumable": stream_resumable,

libs/sdk-py/langgraph_sdk/_shared/utilities.py

@@ -6,13 +6,17 @@ import functools
 import os
 import re
 from collections.abc import Mapping
-from typing import Any, cast
+from datetime import tzinfo
+from typing import TYPE_CHECKING, Any, cast
 
 import httpx
 
 import langgraph_sdk
 from langgraph_sdk.schema import RunCreateMetadata
 
+if TYPE_CHECKING:
+    from zoneinfo import ZoneInfo
+
 RESERVED_HEADERS = ("x-api-key",)
 
 NOT_PROVIDED = cast(None, object())
@@ -125,6 +129,35 @@ def _sse_to_v2_dict(event: str, data: Any) -> dict[str, Any] | None:
     return result
 
 
+def _resolve_timezone(tz: str | tzinfo | ZoneInfo | None) -> str | None:
+    """Convert a timezone argument to an IANA timezone string.
+
+    Accepts:
+        - A string (returned as-is, assumed to be an IANA timezone name)
+        - A ``datetime.tzinfo`` instance (e.g. ``zoneinfo.ZoneInfo("America/New_York")``,
+          ``datetime.timezone.utc``). The ``key`` attribute is used if available,
+          otherwise ``tzname(None)`` is used.
+        - ``None`` (returned as ``None``)
+    """
+    if tz is None or isinstance(tz, str):
+        return tz
+    if isinstance(tz, tzinfo):
+        # ZoneInfo objects have a .key attribute with the IANA name
+        if hasattr(tz, "key"):
+            return tz.key  # type: ignore[union-attr]
+        # Fall back to tzname for fixed-offset timezones like datetime.timezone.utc
+        name = tz.tzname(None)
+        if name is not None:
+            return name
+        raise ValueError(
+            f"Cannot determine timezone name from {tz!r}. "
+            "Use a zoneinfo.ZoneInfo instance or pass a string like 'America/New_York'."
+        )
+    raise TypeError(
+        f"Expected str, datetime.tzinfo, or None for timezone, got {type(tz).__name__}"
+    )
+
+
 def _provided_vals(d: Mapping[str, Any]) -> dict[str, Any]:
     return {k: v for k, v in d.items() if v is not None}
 

libs/sdk-py/langgraph_sdk/_sync/cron.py

@@ -4,9 +4,10 @@ from __future__ import annotations
 
 import warnings
 from collections.abc import Mapping, Sequence
-from datetime import datetime
+from datetime import datetime, tzinfo
 from typing import Any
 
+from langgraph_sdk._shared.utilities import _resolve_timezone
 from langgraph_sdk._sync.http import SyncHttpClient
 from langgraph_sdk.schema import (
     All,
@@ -64,6 +65,7 @@ class SyncCronClient:
         multitask_strategy: str | None = None,
         end_time: datetime | None = None,
         enabled: bool | None = None,
+        timezone: str | tzinfo | None = None,
         stream_mode: StreamMode | Sequence[StreamMode] | None = None,
         stream_subgraphs: bool | None = None,
         stream_resumable: bool | None = None,
@@ -78,7 +80,7 @@ class SyncCronClient:
             assistant_id: The assistant ID or graph name to use for the cron job.
                 If using graph name, will default to first assistant created from that graph.
             schedule: The cron schedule to execute this job on.
-                Schedules are interpreted in UTC.
+                Schedules are interpreted in UTC unless a timezone is specified.
             input: The input to the graph.
             metadata: Metadata to assign to the cron job runs.
             config: The configuration for the assistant.
@@ -92,6 +94,7 @@ class SyncCronClient:
                 Must be one of 'reject', 'interrupt', 'rollback', or 'enqueue'.
             end_time: The time to stop running the cron job. If not provided, the cron job will run indefinitely.
             enabled: Whether the cron job is enabled. By default, it is considered enabled.
+            timezone: IANA timezone for the cron schedule. Accepts a string (e.g. 'America/New_York') or a ``datetime.tzinfo`` instance (e.g. ``ZoneInfo("America/New_York")``).
             stream_mode: The stream mode(s) to use.
             stream_subgraphs: Whether to stream output from subgraphs.
             stream_resumable: Whether to persist the stream chunks in order to resume the stream later.
@@ -144,6 +147,7 @@ class SyncCronClient:
             "multitask_strategy": multitask_strategy,
             "end_time": end_time.isoformat() if end_time else None,
             "enabled": enabled,
+            "timezone": _resolve_timezone(timezone),
             "stream_mode": stream_mode,
             "stream_subgraphs": stream_subgraphs,
             "stream_resumable": stream_resumable,
@@ -174,6 +178,7 @@ class SyncCronClient:
         multitask_strategy: str | None = None,
         end_time: datetime | None = None,
         enabled: bool | None = None,
+        timezone: str | tzinfo | None = None,
         stream_mode: StreamMode | Sequence[StreamMode] | None = None,
         stream_subgraphs: bool | None = None,
         stream_resumable: bool | None = None,
@@ -187,7 +192,7 @@ class SyncCronClient:
             assistant_id: The assistant ID or graph name to use for the cron job.
                 If using graph name, will default to first assistant created from that graph.
             schedule: The cron schedule to execute this job on.
-                Schedules are interpreted in UTC.
+                Schedules are interpreted in UTC unless a timezone is specified.
             input: The input to the graph.
             metadata: Metadata to assign to the cron job runs.
             config: The configuration for the assistant.
@@ -205,6 +210,7 @@ class SyncCronClient:
                 Must be one of 'reject', 'interrupt', 'rollback', or 'enqueue'.
             end_time: The time to stop running the cron job. If not provided, the cron job will run indefinitely.
             enabled: Whether the cron job is enabled. By default, it is considered enabled.
+            timezone: IANA timezone for the cron schedule. Accepts a string (e.g. 'America/New_York') or a ``datetime.tzinfo`` instance (e.g. ``ZoneInfo("America/New_York")``).
             stream_mode: The stream mode(s) to use.
             stream_subgraphs: Whether to stream output from subgraphs.
             stream_resumable: Whether to persist the stream chunks in order to resume the stream later.
@@ -259,6 +265,7 @@ class SyncCronClient:
             "multitask_strategy": multitask_strategy,
             "end_time": end_time.isoformat() if end_time else None,
             "enabled": enabled,
+            "timezone": _resolve_timezone(timezone),
             "stream_mode": stream_mode,
             "stream_subgraphs": stream_subgraphs,
             "stream_resumable": stream_resumable,
@@ -313,6 +320,7 @@ class SyncCronClient:
         interrupt_after: All | list[str] | None = None,
         on_run_completed: OnCompletionBehavior | None = None,
         enabled: bool | None = None,
+        timezone: str | tzinfo | None = None,
         stream_mode: StreamMode | Sequence[StreamMode] | None = None,
         stream_subgraphs: bool | None = None,
         stream_resumable: bool | None = None,
@@ -325,7 +333,7 @@ class SyncCronClient:
         Args:
             cron_id: The cron ID to update.
             schedule: The cron schedule to execute this job on.
-                Schedules are interpreted in UTC.
+                Schedules are interpreted in UTC unless a timezone is specified.
             end_time: The end date to stop running the cron.
             input: The input to the graph.
             metadata: Metadata to assign to the cron job runs.
@@ -339,6 +347,7 @@ class SyncCronClient:
                 after execution. 'keep' creates a new thread for each execution but does not
                 clean them up.
             enabled: Enable or disable the cron job.
+            timezone: IANA timezone for the cron schedule. Accepts a string (e.g. 'America/New_York') or a ``datetime.tzinfo`` instance (e.g. ``ZoneInfo("America/New_York")``).
             stream_mode: The stream mode(s) to use.
             stream_subgraphs: Whether to stream output from subgraphs.
             stream_resumable: Whether to persist the stream chunks in order to resume the stream later.
@@ -373,6 +382,7 @@ class SyncCronClient:
             "interrupt_after": interrupt_after,
             "on_run_completed": on_run_completed,
             "enabled": enabled,
+            "timezone": _resolve_timezone(timezone),
             "stream_mode": stream_mode,
             "stream_subgraphs": stream_subgraphs,
             "stream_resumable": stream_resumable,

libs/sdk-py/langgraph_sdk/schema.py

@@ -385,6 +385,8 @@ class Cron(TypedDict):
     """The end date to stop running the cron."""
     schedule: str
     """The schedule to run, cron format."""
+    timezone: str | None
+    """IANA timezone for the cron schedule (e.g. 'America/New_York'). Defaults to null, which is treated as UTC."""
     created_at: datetime
     """The time the cron was created."""
     updated_at: datetime
@@ -406,6 +408,8 @@ class CronUpdate(TypedDict, total=False):
 
     schedule: str
     """The cron schedule to execute this job on."""
+    timezone: str
+    """IANA timezone for the cron schedule (e.g. 'America/New_York')."""
     end_time: datetime
     """The end date to stop running the cron."""
     input: Input
@@ -482,6 +486,7 @@ CronSelectField = Literal[
     "thread_id",
     "end_time",
     "schedule",
+    "timezone",
     "created_at",
     "updated_at",
     "user_id",

libs/sdk-py/pyproject.toml

@@ -30,10 +30,10 @@ test = [
     "pytest-watch",
 ]
 lint = [
-    "ruff==0.15.5",
+    "ruff==0.15.6",
     "codespell",
     "mypy==1.19.1",
-    "ty==0.0.21",
+    "ty==0.0.23",
     "starlette",
 ]
 dev = [

libs/sdk-py/uv.lock

@@ -265,7 +265,7 @@ wheels = [
 
 [[package]]
 name = "langgraph"
-version = "1.1.0"
+version = "1.1.3"
 source = { editable = "../langgraph" }
 dependencies = [
     { name = "langchain-core" },
@@ -498,16 +498,16 @@ dev = [
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },
     { name = "pytest-watch" },
-    { name = "ruff", specifier = "==0.15.5" },
+    { name = "ruff", specifier = "==0.15.6" },
     { name = "starlette" },
-    { name = "ty", specifier = "==0.0.21" },
+    { name = "ty", specifier = "==0.0.23" },
 ]
 lint = [
     { name = "codespell" },
     { name = "mypy", specifier = "==1.19.1" },
-    { name = "ruff", specifier = "==0.15.5" },
+    { name = "ruff", specifier = "==0.15.6" },
     { name = "starlette" },
-    { name = "ty", specifier = "==0.0.21" },
+    { name = "ty", specifier = "==0.0.23" },
 ]
 test = [
     { name = "pytest" },
@@ -1119,27 +1119,27 @@ wheels = [
 
 [[package]]
 name = "ruff"
-version = "0.15.5"
+version = "0.15.6"
 source = { registry = "https://pypi.org/simple" }
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