done

- [ ] **Add tests and docs**: If you're adding a new integration, you
must include:
1. A test for the integration, preferably unit tests that do not rely on
network access,
2. An example notebook showing its use. It lives in
`docs/docs/integrations` directory.

- [ ] **Lint and test**: Run `make format`, `make lint` and `make test`
from the root of the package(s) you've modified. We will not consider a
PR unless these three are passing in CI. See [contribution
guidelines](https://docs.langchain.com/oss/python/contributing/overview)
for more.

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" != "1.1.2" ]; then
-            echo "LANGGRAPH_VERSION != 1.1.2; $LANGGRAPH_VERSION"
+          if [ "$LANGGRAPH_VERSION" != "1.0.8" ]; then
+            echo "LANGGRAPH_VERSION != 1.0.8; $LANGGRAPH_VERSION"
             exit 1
           fi
           LANGCHAIN_OPENAI_VERSION=$(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@v4
+      - uses: dorny/paths-filter@v3
         if: github.event_name != 'workflow_dispatch'
         id: filter
         with:

.markdownlint.json

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

README.md

@@ -1,81 +1,93 @@
-<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>
-
-<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>
+<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>
+
+[![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)
 
 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.
 
-```bash
+## Get started
+
+Install LangGraph:
+
+```
 pip install -U langgraph
 ```
 
-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).
+Create a simple workflow:
 
-> [!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).
+```python
+from langgraph.graph import START, StateGraph
+from typing_extensions import TypedDict
 
-## Why use LangGraph?
 
-LangGraph provides low-level supporting infrastructure for *any* long-running, stateful workflow or agent:
+class State(TypedDict):
+    text: str
 
-- **[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.
+
+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).
 
 > [!TIP]
 > For developing, debugging, and deploying AI agents and LLM applications, see [LangSmith](https://docs.langchain.com/langsmith/home).
 
-## LangGraph ecosystem
+## Core 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.
+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:
 
-To improve your LLM application development, pair LangGraph with:
+- [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.
 
-- [Deep Agents](https://github.com/langchain-ai/deepagents) *(new!)* – Build agents that can plan, use subagents, and leverage file systems for complex tasks.
+## 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).
 - [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).
 
----
-
-## 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.
+> [!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).
 
 ## Additional resources
 
-- **[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.
-
----
+- [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.
 
 ## 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: ChannelVersions = {k: 1 for k in vals}
+        cv = {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 = "4.0.1"
+version = "4.0.0"
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 ]
 
 [[package]]

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

@@ -164,11 +164,12 @@ class AsyncPostgresStore(AsyncBatchedBaseStore, BasePostgresStore[_ainternal.Con
         grouped_ops, num_ops = _group_ops(ops)
         results: list[Result] = [None] * num_ops
 
-        if self.pipe:
-            async with self.pipe:
-                await self._execute_batch(grouped_ops, results)
-        else:
-            await self._execute_batch(grouped_ops, results)
+        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)
 
         return results
 
@@ -409,10 +410,8 @@ class AsyncPostgresStore(AsyncBatchedBaseStore, BasePostgresStore[_ainternal.Con
         self,
         grouped_ops: dict,
         results: list[Result],
-        conn: AsyncConnection[DictRow] | None = None,
+        conn: AsyncConnection[DictRow],
     ) -> 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 = "3.0.5"
+version = "3.0.4"
 description = "Library with a Postgres implementation of LangGraph checkpoint saver."
 authors = []
 requires-python = ">=3.10"

libs/checkpoint-postgres/tests/test_async_store.py

@@ -20,7 +20,6 @@ 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,
@@ -347,59 +346,6 @@ 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 = "3.0.5"
+version = "3.0.4"
 source = { editable = "." }
 dependencies = [
     { name = "langgraph-checkpoint" },
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libs/checkpoint/langgraph/store/base/batch.py

@@ -328,9 +328,6 @@ 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:
@@ -338,9 +335,6 @@ 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/c3/9c/d1db14469e32d98f3ca27079dbd30b7b44dbb5317d06ab36718dee3baf03/ruff-0.15.5-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:b30da330cbd03bed0c21420b6b953158f60c74c54c5f4c1dabbdf3a57bf355d2", size = 11304315, upload-time = "2026-03-05T20:06:10.867Z" },
+    { url = "https://files.pythonhosted.org/packages/28/3a/950367aee7c69027f4f422059227b290ed780366b6aecee5de5039d50fa8/ruff-0.15.5-py3-none-win32.whl", hash = "sha256:732e5ee1f98ba5b3679029989a06ca39a950cced52143a0ea82a2102cb592b74", size = 10551676, upload-time = "2026-03-05T20:06:13.705Z" },
+    { url = "https://files.pythonhosted.org/packages/b8/00/bf077a505b4e649bdd3c47ff8ec967735ce2544c8e4a43aba42ee9bf935d/ruff-0.15.5-py3-none-win_amd64.whl", hash = "sha256:821d41c5fa9e19117616c35eaa3f4b75046ec76c65e7ae20a333e9a8696bc7fe", size = 11678972, upload-time = "2026-03-05T20:06:45.379Z" },
+    { url = "https://files.pythonhosted.org/packages/fe/4e/cd76eca6db6115604b7626668e891c9dd03330384082e33662fb0f113614/ruff-0.15.5-py3-none-win_arm64.whl", hash = "sha256:b498d1c60d2fe5c10c45ec3f698901065772730b411f164ae270bb6bfcc4740b", size = 10965572, upload-time = "2026-03-05T20:06:16.984Z" },
 ]
 
 [[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==1.1.2"
+  "langgraph==1.0.8"
 ]

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==1.1.2"
+  "langgraph==1.0.8"
 ]
 
 [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==1.1.2",
+  "langgraph==1.0.0a2",
   "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": "^1.1.32",
-    "@langchain/langgraph": "^1.2.2"
+    "@langchain/core": "^1.1.31",
+    "@langchain/langgraph": "^1.2.1"
   },
   "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": "^8.57.0",
-    "@typescript-eslint/parser": "^8.57.0",
+    "@typescript-eslint/eslint-plugin": "^8.56.1",
+    "@typescript-eslint/parser": "^8.56.1",
     "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": "^30.3.0",
+    "jest": "^30.2.0",
     "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": "^1.1.32",
-    "@langchain/langgraph": "^1.2.2"
+    "@langchain/core": "^1.1.31",
+    "@langchain/langgraph": "^1.2.1"
   },
   "devDependencies": {
     "typescript": "^5.9.3"

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

@@ -17,7 +17,7 @@
     "lint": "eslint 'apps/**/*.ts' 'libs/**/*.ts'"
   },
   "devDependencies": {
-    "turbo": "^2.8.17",
+    "turbo": "^2.8.14",
     "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": "^8.57.0",
-    "@typescript-eslint/parser": "^8.57.0",
+    "@typescript-eslint/eslint-plugin": "^8.56.1",
+    "@typescript-eslint/parser": "^8.56.1",
     "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@^1.1.32":
-  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==
+"@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==
   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@~1.7.0":
-  version "1.7.2"
-  resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-1.7.2.tgz#8273ef749082d6e1c7c7e281d75287b2b4deedfa"
-  integrity sha512-8ad5OTwqc15J/DxLNJYLn3IC2mpfow09nxJdszxhwm3KgsolGZIUV6g7m67C2p4j3cbQZD5USHt3hKEL0ahqoA==
+"@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==
   dependencies:
     "@types/json-schema" "^7.0.15"
     p-queue "^9.0.1"
     p-retry "^7.1.1"
     uuid "^13.0.0"
 
-"@langchain/langgraph@^1.2.2":
-  version "1.2.2"
-  resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-1.2.2.tgz#747cc0ddb6fe350906c7f982289499f072345701"
-  integrity sha512-1F94azb3b3TpHi5Jxa7gFvAYXuSIsEobEXk3/PD7+gkOobIC5Jty3+/ATSkH7joUo0bXCF/rgMOjRGusi6YvSQ==
+"@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==
   dependencies:
     "@langchain/langgraph-checkpoint" "^1.0.0"
-    "@langchain/langgraph-sdk" "~1.7.0"
+    "@langchain/langgraph-sdk" "~1.6.5"
     "@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@^8.57.0":
-  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==
+"@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==
   dependencies:
     "@eslint-community/regexpp" "^4.12.2"
-    "@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"
+    "@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"
     ignore "^7.0.5"
     natural-compare "^1.4.0"
     ts-api-utils "^2.4.0"
 
-"@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==
+"@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==
   dependencies:
-    "@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"
+    "@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"
     debug "^4.4.3"
 
-"@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==
+"@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==
   dependencies:
-    "@typescript-eslint/tsconfig-utils" "^8.57.0"
-    "@typescript-eslint/types" "^8.57.0"
+    "@typescript-eslint/tsconfig-utils" "^8.56.1"
+    "@typescript-eslint/types" "^8.56.1"
     debug "^4.4.3"
 
-"@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==
+"@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==
   dependencies:
-    "@typescript-eslint/types" "8.57.0"
-    "@typescript-eslint/visitor-keys" "8.57.0"
+    "@typescript-eslint/types" "8.56.1"
+    "@typescript-eslint/visitor-keys" "8.56.1"
 
-"@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/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/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==
+"@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==
   dependencies:
-    "@typescript-eslint/types" "8.57.0"
-    "@typescript-eslint/typescript-estree" "8.57.0"
-    "@typescript-eslint/utils" "8.57.0"
+    "@typescript-eslint/types" "8.56.1"
+    "@typescript-eslint/typescript-estree" "8.56.1"
+    "@typescript-eslint/utils" "8.56.1"
     debug "^4.4.3"
     ts-api-utils "^2.4.0"
 
-"@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/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/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==
+"@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==
   dependencies:
-    "@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"
+    "@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"
     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@8.57.0":
-  version "8.57.0"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-8.57.0.tgz#c7193385b44529b788210d20c94c11de79ad3498"
-  integrity sha512-5iIHvpD3CZe06riAsbNxxreP+MuYgVUsV0n4bwLH//VJmgtt54sQeY2GszntJ4BjYCpMzrfVh2SBnUQTtys2lQ==
+"@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==
   dependencies:
     "@eslint-community/eslint-utils" "^4.9.1"
-    "@typescript-eslint/scope-manager" "8.57.0"
-    "@typescript-eslint/types" "8.57.0"
-    "@typescript-eslint/typescript-estree" "8.57.0"
+    "@typescript-eslint/scope-manager" "8.56.1"
+    "@typescript-eslint/types" "8.56.1"
+    "@typescript-eslint/typescript-estree" "8.56.1"
 
-"@typescript-eslint/visitor-keys@8.57.0":
-  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==
+"@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==
   dependencies:
-    "@typescript-eslint/types" "8.57.0"
+    "@typescript-eslint/types" "8.56.1"
     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@2.8.17:
-  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-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-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-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-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-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-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-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-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-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-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-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@^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==
+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==
   optionalDependencies:
-    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"
+    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"
 
 type-check@^0.4.0, type-check@~0.4.0:
   version "0.4.0"

libs/cli/langgraph_cli/__init__.py

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

libs/cli/langgraph_cli/api_version.py

@@ -0,0 +1,95 @@
+"""Resolve the LangGraph API version from CLI flags and langgraph.json."""
+
+import json
+import pathlib
+import re
+import urllib.request
+
+import click
+
+VERSION_MARKER_REPO = "langchain/langgraph-published-version-marker"
+_PATCH_VERSION_RE = re.compile(r"^\d+\.\d+\.\d+$")
+_SEMVER_RE = re.compile(r"^\d+\.\d+\.\d+")
+
+
+def resolve_langgraph_api_version(
+    config_path: pathlib.Path,
+    api_version_cli_param: str | None,
+) -> str:
+    """Resolve the API version from the CLI flag and/or langgraph.json.
+
+    Returns the resolved patch-level version string. When neither source
+    provides a version, the latest published version is fetched from Docker Hub.
+
+    Raises `click.ClickException` when both sources specify a version, or
+    when a version cannot be resolved via Docker Hub.
+    """
+    api_version_langgraph_json = _read_api_version_from_config(config_path)
+
+    if api_version_cli_param and api_version_langgraph_json:
+        raise click.ClickException(
+            "API version specified in both --api-version CLI flag "
+            f"({api_version_cli_param!r}) and langgraph.json "
+            f"({api_version_langgraph_json!r}). Please use only one."
+        )
+
+    preferred_api_version = api_version_cli_param or api_version_langgraph_json
+
+    if preferred_api_version and _PATCH_VERSION_RE.match(preferred_api_version):
+        return preferred_api_version
+
+    version_prefix = preferred_api_version or ""
+    if version_prefix:
+        click.secho(
+            f"Resolving API version matching {version_prefix!r} from Docker Hub...",
+            fg="cyan",
+        )
+    else:
+        click.secho(
+            "Resolving latest API version from Docker Hub...",
+            fg="cyan",
+        )
+    resolved = _fetch_matching_version(version_prefix)
+    click.secho(f"Resolved API version: {resolved}", fg="cyan")
+    return resolved
+
+
+def _read_api_version_from_config(config_path: pathlib.Path) -> str | None:
+    """Read the `api_version` field from langgraph.json (if present)."""
+    try:
+        with open(config_path) as f:
+            raw_config = json.load(f)
+    except (OSError, json.JSONDecodeError):
+        return None
+    return raw_config.get("api_version")
+
+
+def _fetch_matching_version(version_prefix: str = "") -> str:
+    """Query Docker Hub for the latest patch version matching *version_prefix*.
+
+    When *version_prefix* is empty, returns the latest published version.
+    """
+    url = f"https://hub.docker.com/v2/repositories/{VERSION_MARKER_REPO}/tags/?page_size=10"
+    if version_prefix:
+        url += f"&name={version_prefix}"
+    try:
+        with urllib.request.urlopen(url, timeout=10) as resp:
+            data = json.loads(resp.read())
+    except Exception as exc:
+        raise click.ClickException(
+            f"Failed to fetch API version from {VERSION_MARKER_REPO}: {exc}\n"
+            "You can specify an exact version with --api-version (e.g. 0.7.67)."
+        ) from exc
+
+    for tag in data.get("results", []):
+        name = tag.get("name", "")
+        if _SEMVER_RE.match(name):
+            return name
+
+    if version_prefix:
+        msg = f"Could not find a version matching {version_prefix!r} in {VERSION_MARKER_REPO}."
+    else:
+        msg = f"Could not find a published version in {VERSION_MARKER_REPO}."
+    raise click.ClickException(
+        f"{msg}\nYou can specify an exact version with --api-version (e.g. 0.7.67)."
+    )

libs/cli/langgraph_cli/cli.py

@@ -13,7 +13,7 @@ import tempfile
 import time
 from collections.abc import Callable, Sequence
 from contextlib import contextmanager
-from datetime import datetime, timezone
+from typing import Any
 
 import click
 import click.exceptions
@@ -23,15 +23,16 @@ from dotenv import dotenv_values
 import langgraph_cli.config
 import langgraph_cli.docker
 from langgraph_cli.analytics import log_command
+from langgraph_cli.api_version import resolve_langgraph_api_version
 from langgraph_cli.config import Config
 from langgraph_cli.constants import DEFAULT_CONFIG, DEFAULT_PORT
 from langgraph_cli.docker import DockerCapabilities
+from langgraph_cli.engine_runtime_mode import resolve_engine_runtime_mode
 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 format_deployments_table, warn_non_wolfi_distro
+from langgraph_cli.util import warn_non_wolfi_distro
 from langgraph_cli.version import __version__
 
 RESERVED_ENV_VARS = frozenset(
@@ -289,102 +290,15 @@ 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"]),
-    default="combined_queue_worker",
-    help="Runtime mode. 'distributed' uses separate executor and orchestrator containers.",
+    default=None,
+    help="Runtime mode. 'distributed' uses separate executor and orchestrator containers. Defaults to distributed.",
 )
 
 
-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.group()
 @click.version_option(version=__version__, prog_name="LangGraph CLI")
 def cli():
     pass
@@ -436,10 +350,14 @@ def up(
     debugger_base_url: str | None,
     postgres_uri: str | None,
     api_version: str | None,
-    engine_runtime_mode: str,
+    engine_runtime_mode: str | None,
     image: str | None,
     base_image: str | None,
 ):
+    api_version = resolve_langgraph_api_version(config, api_version)
+    engine_runtime_mode = resolve_engine_runtime_mode(
+        config, api_version, engine_runtime_mode
+    )
     click.secho("Starting LangGraph API server...", fg="green")
     click.secho(
         """For local dev, requires env var LANGSMITH_API_KEY with access to LangSmith Deployment.
@@ -639,12 +557,16 @@ def build(
     docker_build_args: Sequence[str],
     base_image: str | None,
     api_version: str | None,
-    engine_runtime_mode: str,
+    engine_runtime_mode: str | None,
     pull: bool,
     tag: str,
     install_command: str | None,
     build_command: str | None,
 ):
+    api_version = resolve_langgraph_api_version(config, api_version)
+    engine_runtime_mode = resolve_engine_runtime_mode(
+        config, api_version, engine_runtime_mode
+    )
     if install_command and langgraph_cli.config.has_disallowed_build_command_content(
         install_command
     ):
@@ -682,115 +604,84 @@ def build(
         )
 
 
-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,
+@click.option(
+    "--api-key",
+    envvar="LANGGRAPH_HOST_API_KEY",
     help=(
-        "[Beta] Build and deploy a LangGraph image to LangSmith Deployment.\n\n"
+        "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"
         "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, "
-        "--config, --pull, etc.). See 'langgraph build --help' for details."
+        "--pull, etc.). See 'langgraph build --help' for details."
     ),
-    context_settings=dict(ignore_unknown_options=True, allow_extra_args=True),
-    invoke_without_command=True,  # allow `deploy` click group to execute without command
+    context_settings=dict(ignore_unknown_options=True),
 )
-@_deploy_base_options(include_docker_args=False, validate_config_path=False)
-@click.pass_context
 @log_command
-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(
+def deploy(
     config: pathlib.Path,
     pull: bool,
     verbose: bool,
@@ -801,13 +692,15 @@ def _deploy(
     deployment_type: str,
     name: str | None,
     image_name: str | None,
-    tag: str,
+    image_tag: str,
     base_image: str | None,
     install_command: str | None,
     build_command: str | None,
     no_wait: bool,
     docker_build_args: Sequence[str],
 ):
+    api_version = resolve_langgraph_api_version(config, api_version)
+    engine_runtime_mode = resolve_engine_runtime_mode(config, api_version, None)
     click.secho(
         "Note: 'langgraph deploy' is in beta. Expect frequent updates and improvements.",
         fg="yellow",
@@ -818,6 +711,15 @@ 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:
@@ -854,21 +756,55 @@ def _deploy(
         def log_step(message: str) -> None:
             click.secho(message, fg="cyan")
 
-        client = _create_host_backend_client(host_url, api_key, env_vars=env_vars)
+        client = HostBackendClient(host_url, api_key)
         step = 1
         needs_creation = False
 
         if deployment_id:
             log_step(f"{step}. Using deployment {deployment_id}")
-            _call_host_backend_with_optional_tenant(
-                client, lambda c: c.get_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
             step += 1
         else:
             log_step(f"{step}. Looking up deployment '{name}'")
-            existing = _call_host_backend_with_optional_tenant(
-                client, lambda c: c.list_deployments(name_contains=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
             found_id = None
             if isinstance(existing, dict):
                 for dep in existing.get("resources", []):
@@ -935,13 +871,16 @@ def _deploy(
 
         if needs_creation:
             log_step(f"{step}. Creating deployment '{name}'")
-            payload = {
+            payload: dict[str, Any] = {
                 "name": name,
                 "source": "internal_docker",
                 "source_config": {"deployment_type": deployment_type},
                 "source_revision_config": {},
                 "secrets": secrets,
+                "engine_runtime_mode": engine_runtime_mode,
             }
+            if api_version:
+                payload["deployed_api_version"] = api_version
             created = client.create_deployment(payload)
             created_id = created.get("id") if isinstance(created, dict) else None
             if not isinstance(created_id, str) or not created_id:
@@ -982,7 +921,7 @@ 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(tag)
+        tag_value = _normalize_image_tag(image_tag)
         remote_image = f"{normalized_registry}/{repo_name}:{tag_value}"
 
         registry_host = normalized_registry.split("/")[0]
@@ -1050,7 +989,13 @@ def _deploy(
 
         # -- Step: Update deployment --
         log_step(f"{step}. Updating deployment {deployment_id}")
-        updated = client.update_deployment(deployment_id, remote_image, secrets=secrets)
+        updated = client.update_deployment(
+            deployment_id,
+            remote_image,
+            secrets=secrets,
+            engine_runtime_mode=engine_runtime_mode,
+            deployed_api_version=api_version,
+        )
         tenant_id = updated.get("tenant_id") if isinstance(updated, dict) else None
         if tenant_id:
             status_url = (
@@ -1122,147 +1067,11 @@ def _deploy(
                 )
             else:
                 click.secho(
-                    "   Check status in the LangSmith Deployment dashboard.",
+                    "   Check status in the LangSmith Deployments 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.
 
@@ -1289,180 +1098,6 @@ 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.
 
@@ -1548,8 +1183,12 @@ def dockerfile(
     add_docker_compose: bool,
     base_image: str | None = None,
     api_version: str | None = None,
-    engine_runtime_mode: str = "combined_queue_worker",
+    engine_runtime_mode: str | None = None,
 ) -> None:
+    api_version = resolve_langgraph_api_version(config, api_version)
+    engine_runtime_mode = resolve_engine_runtime_mode(
+        config, api_version, engine_runtime_mode
+    )
     save_path = pathlib.Path(save_path).absolute()
     secho(f"🔍 Validating configuration at path: {config}", fg="yellow")
     config_json = langgraph_cli.config.validate_config_file(config)
@@ -1898,6 +1537,7 @@ def prepare(
     """Prepare the arguments and stdin for running the LangGraph API server."""
     config_json = langgraph_cli.config.validate_config_file(config_path)
     warn_non_wolfi_distro(config_json)
+
     # pull latest images
     if pull:
         runner.run(
@@ -1922,6 +1562,14 @@ def prepare(
                     verbose=verbose,
                 )
             )
+            runner.run(
+                subp_exec(
+                    "docker",
+                    "pull",
+                    f"langchain/langgraph-orchestrator-licensed:{api_version}",
+                    verbose=verbose,
+                )
+            )
 
     args, stdin = prepare_args_and_stdin(
         capabilities=capabilities,

libs/cli/langgraph_cli/config.py

@@ -1269,6 +1269,11 @@ def docker_tag(
     version_distro_tag = f"{version}{distro_tag}"
 
     # Prepend API version if provided
+    # Strip an existing tag from base_image so we don't produce two colons
+    # (e.g. "langchain/langgraph-server:0.2" → "langchain/langgraph-server").
+    if ":" in base_image:
+        base_image = base_image.rsplit(":", 1)[0]
+
     if api_version:
         full_tag = f"{api_version}-{language}{version_distro_tag}"
     elif "/langgraph-server" in base_image and version_distro_tag not in base_image:
@@ -1424,7 +1429,7 @@ def config_to_compose(
 
             postgres_uri = "postgres://postgres:postgres@langgraph-postgres:5432/postgres?sslmode=disable"
             result += f"""    langgraph-orchestrator:
-        image: langchain/langgraph-orchestrator-licensed:latest
+        image: langchain/langgraph-orchestrator-licensed:{api_version}
         depends_on:
             langgraph-api:
                 condition: service_healthy

libs/cli/langgraph_cli/engine_runtime_mode.py

@@ -0,0 +1,69 @@
+"""Resolve the LangGraph engine runtime mode."""
+
+import json
+import pathlib
+
+import click
+
+_DISTRIBUTED_MIN_VERSION = (0, 7, 68)
+
+
+def resolve_engine_runtime_mode(
+    config_path: pathlib.Path,
+    api_version: str,
+    engine_runtime_mode_cli_param: str | None,
+) -> str:
+    """Resolve the engine runtime mode.
+
+    *api_version* must already be resolved to a patch-level semver string.
+
+    Returns ``"distributed"`` or ``"combined_queue_worker"``.
+
+    Raises `click.ClickException` when distributed mode is requested but
+    not supported (JavaScript project or api_version <= 0.7.67).
+    """
+    requires_combined = _requires_combined(config_path, api_version)
+
+    if engine_runtime_mode_cli_param == "distributed":
+        if requires_combined:
+            reasons = _constraint_reasons(config_path, api_version)
+            raise click.ClickException(
+                f"Distributed runtime is not supported for {' and '.join(reasons)}."
+            )
+        return "distributed"
+
+    if engine_runtime_mode_cli_param == "combined_queue_worker":
+        return "combined_queue_worker"
+
+    # No explicit choice → default to distributed
+    return "distributed"
+
+
+def _requires_combined(config_path: pathlib.Path, api_version: str) -> bool:
+    return _is_javascript_project(config_path) or _version_too_old(api_version)
+
+
+def _version_too_old(api_version: str) -> bool:
+    try:
+        parts = tuple(int(x) for x in api_version.split("."))
+    except (ValueError, AttributeError):
+        return True
+    return parts < _DISTRIBUTED_MIN_VERSION
+
+
+def _is_javascript_project(config_path: pathlib.Path) -> bool:
+    try:
+        with open(config_path) as f:
+            cfg = json.load(f)
+    except (OSError, json.JSONDecodeError):
+        return False
+    return bool(cfg.get("node_version")) and not cfg.get("python_version")
+
+
+def _constraint_reasons(config_path: pathlib.Path, api_version: str) -> list[str]:
+    reasons: list[str] = []
+    if _is_javascript_project(config_path):
+        reasons.append("JavaScript projects")
+    if _version_too_old(api_version):
+        reasons.append(f"API version {api_version} (<= 0.7.67)")
+    return reasons

libs/cli/langgraph_cli/helpers.py

@@ -1,59 +0,0 @@
-"""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

@@ -19,12 +19,7 @@ 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)
@@ -35,6 +30,7 @@ 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,
@@ -43,14 +39,10 @@ class HostBackendClient:
         )
 
     def _request(
-        self,
-        method: str,
-        path: str,
-        payload: dict[str, Any] | None = None,
-        params: dict[str, Any] | None = None,
+        self, method: str, path: str, payload: dict[str, Any] | None = None
     ) -> Any:
         try:
-            resp = self._client.request(method, path, json=payload, params=params)
+            resp = self._client.request(method, path, json=payload)
             resp.raise_for_status()
         except httpx.HTTPStatusError as err:
             detail = err.response.text or str(err.response.status_code)
@@ -73,19 +65,12 @@ 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",
-            "/v2/deployments",
-            params={"name_contains": name_contains},
-        )
+    def list_deployments(self, name_contains: str) -> dict[str, Any]:
+        return self._request("GET", f"/v2/deployments?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",
@@ -97,12 +82,18 @@ class HostBackendClient:
         deployment_id: str,
         image_uri: str,
         secrets: list[dict[str, str]] | None = None,
+        engine_runtime_mode: str | None = None,
+        deployed_api_version: str | None = None,
     ) -> dict[str, Any]:
         payload: dict[str, Any] = {
             "source_revision_config": {"image_uri": image_uri},
         }
         if secrets is not None:
             payload["secrets"] = secrets
+        if engine_runtime_mode is not None:
+            payload["engine_runtime_mode"] = engine_runtime_mode
+        if deployed_api_version is not None:
+            payload["deployed_api_version"] = deployed_api_version
         return self._request(
             "PATCH",
             f"/v2/deployments/{deployment_id}",
@@ -120,24 +111,3 @@ 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

@@ -8,20 +8,31 @@ 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
@@ -67,25 +78,19 @@ def _choose_template() -> str:
         click.secho("❌ Invalid choice. Please try again.", fg="red")
         return _choose_template()
 
-    template_info = TEMPLATES[selected_template]
-    available_langs = [lang for lang in ("python", "js") if lang in template_info]
-
+    # Prompt the user to choose between Python or JS/TS version
     click.secho(
-        f"\nYou selected: {selected_template} - {template_info['description']}",
+        f"\nYou selected: {selected_template} - {TEMPLATES[selected_template]['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 template_info["python"]
+        return TEMPLATES[selected_template]["python"]
     elif version_choice == 2:
-        return template_info["js"]
+        return TEMPLATES[selected_template]["js"]
     else:
         click.secho("❌ Invalid choice. Please try again.", fg="red")
         return _choose_template()
@@ -125,6 +130,37 @@ 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

@@ -1,5 +1,3 @@
-from collections.abc import Sequence
-
 import click
 
 
@@ -25,35 +23,3 @@ 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

@@ -9,7 +9,6 @@ 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
@@ -288,238 +287,6 @@ 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()
@@ -615,9 +382,10 @@ def test_dockerfile_command_with_base_image() -> None:
         assert save_path.exists()
         with open(save_path) as f:
             dockerfile = f.read()
-            assert re.match("FROM langchain/langgraph-server:0.2-py3.*", dockerfile), (
-                "\n".join(dockerfile.splitlines()[:3])
-            )
+            assert re.match(
+                r"FROM langchain/langgraph-server:\d+\.\d+\.\d+-py3\..*",
+                dockerfile,
+            ), "\n".join(dockerfile.splitlines()[:3])
 
 
 def test_dockerfile_command_with_docker_compose() -> None:
@@ -800,6 +568,8 @@ def test_build_generate_proper_build_context():
                     "test-image",
                     "--config",
                     str(temp_dir / "config.json"),
+                    "--engine-runtime-mode",
+                    "combined_queue_worker",
                 ],
                 catch_exceptions=True,
             )
@@ -835,6 +605,8 @@ def test_dockerfile_command_with_api_version() -> None:
                 str(temp_dir / "config.json"),
                 "--api-version",
                 "0.2.74",
+                "--engine-runtime-mode",
+                "combined_queue_worker",
             ],
         )
 
@@ -951,6 +723,8 @@ def test_build_command_with_api_version() -> None:
                     str(temp_dir / "config.json"),
                     "--api-version",
                     "0.2.74",
+                    "--engine-runtime-mode",
+                    "combined_queue_worker",
                     "--no-pull",  # Avoid pulling non-existent images
                 ],
                 catch_exceptions=True,
@@ -1089,7 +863,10 @@ def test_dockerfile_command_distributed_mode() -> None:
         assert save_path.exists()
         with open(save_path) as f:
             dockerfile = f.read()
-            assert "FROM langchain/langgraph-executor:3.11" in dockerfile
+            assert re.search(
+                r"FROM langchain/langgraph-executor:\d+\.\d+\.\d+-py3\.11",
+                dockerfile,
+            ), dockerfile.splitlines()[0]
 
 
 def test_dockerfile_command_combined_mode() -> None:
@@ -1122,7 +899,10 @@ def test_dockerfile_command_combined_mode() -> None:
         assert save_path.exists()
         with open(save_path) as f:
             dockerfile = f.read()
-            assert "FROM langchain/langgraph-api:3.11" in dockerfile
+            assert re.search(
+                r"FROM langchain/langgraph-api:\d+\.\d+\.\d+-py3\.11",
+                dockerfile,
+            ), dockerfile.splitlines()[0]
 
 
 def test_dockerfile_command_distributed_with_explicit_base_image() -> None:
@@ -1157,7 +937,10 @@ def test_dockerfile_command_distributed_with_explicit_base_image() -> None:
         assert save_path.exists()
         with open(save_path) as f:
             dockerfile = f.read()
-            assert "FROM my-custom-executor:latest" in dockerfile
+            assert re.search(
+                r"FROM my-custom-executor:\d+\.\d+\.\d+-py3\.11",
+                dockerfile,
+            ), dockerfile.splitlines()[0]
 
 
 def test_prepare_args_and_stdin_distributed_mode() -> None:
@@ -1176,18 +959,42 @@ def test_prepare_args_and_stdin_distributed_mode() -> None:
         port=port,
         watch=False,
         engine_runtime_mode="distributed",
+        api_version="0.7.67",
     )
 
-    # API service should use langgraph-api base image
-    assert "FROM langchain/langgraph-api:" in actual_stdin
+    # API service should use langgraph-api base image with pinned version
+    assert "FROM langchain/langgraph-api:0.7.67-py3.11" in actual_stdin
 
     # Distributed mode sets N_JOBS_PER_WORKER=0 on the API service
     assert 'N_JOBS_PER_WORKER: "0"' in actual_stdin
 
-    # Orchestrator service present
+    # Orchestrator service present with pinned version
     assert "langgraph-orchestrator:" in actual_stdin
+    assert "langchain/langgraph-orchestrator-licensed:0.7.67" in actual_stdin
 
     # Executor service present with correct base image
     assert "langgraph-executor:" in actual_stdin
-    assert "FROM langchain/langgraph-executor:" in actual_stdin
+    assert "FROM langchain/langgraph-executor:0.7.67-py3.11" in actual_stdin
     assert "executor_entrypoint.sh" in actual_stdin
+
+
+def test_prepare_args_and_stdin_distributed_with_api_version() -> None:
+    """All 3 images should use the same api_version in distributed mode."""
+    config_path = pathlib.Path(__file__).parent / "langgraph.json"
+    config = validate_config(
+        Config(dependencies=["."], graphs={"agent": "agent.py:graph"})
+    )
+    actual_args, actual_stdin = prepare_args_and_stdin(
+        capabilities=DEFAULT_DOCKER_CAPABILITIES,
+        config_path=config_path,
+        config=config,
+        docker_compose=None,
+        port=8000,
+        watch=False,
+        engine_runtime_mode="distributed",
+        api_version="0.7.67",
+    )
+
+    assert "FROM langchain/langgraph-api:0.7.67-py3.11" in actual_stdin
+    assert "FROM langchain/langgraph-executor:0.7.67-py3.11" in actual_stdin
+    assert "langchain/langgraph-orchestrator-licensed:0.7.67" in actual_stdin

libs/cli/tests/unit_tests/test_api_version.py

@@ -0,0 +1,156 @@
+import io
+import json
+import pathlib
+import urllib.error
+import urllib.request
+
+import click
+import pytest
+
+from langgraph_cli.api_version import (
+    _fetch_matching_version,
+    resolve_langgraph_api_version,
+)
+
+
+@pytest.fixture()
+def config_dir(tmp_path: pathlib.Path) -> pathlib.Path:
+    return tmp_path
+
+
+def _write_config(
+    config_dir: pathlib.Path, api_version: str | None = None
+) -> pathlib.Path:
+    cfg: dict = {"dependencies": ["."], "graphs": {"agent": "agent.py:graph"}}
+    if api_version is not None:
+        cfg["api_version"] = api_version
+    path = config_dir / "langgraph.json"
+    path.write_text(json.dumps(cfg))
+    return path
+
+
+class TestResolveLanggraphApiVersion:
+    def test_exact_patch_from_cli(self, config_dir: pathlib.Path) -> None:
+        path = _write_config(config_dir)
+        assert resolve_langgraph_api_version(path, "0.7.67") == "0.7.67"
+
+    def test_exact_patch_from_json(self, config_dir: pathlib.Path) -> None:
+        path = _write_config(config_dir, api_version="0.7.67")
+        assert resolve_langgraph_api_version(path, None) == "0.7.67"
+
+    def test_neither_source_fetches_latest(
+        self, config_dir: pathlib.Path, monkeypatch: pytest.MonkeyPatch
+    ) -> None:
+        path = _write_config(config_dir)
+
+        fake_body = json.dumps(
+            {"results": [{"name": "latest"}, {"name": "0.9.2"}]}
+        ).encode()
+
+        def mock_urlopen(url, *, timeout=None):
+            assert "name=" not in url
+            return io.BytesIO(fake_body)
+
+        monkeypatch.setattr(urllib.request, "urlopen", mock_urlopen)
+        assert resolve_langgraph_api_version(path, None) == "0.9.2"
+
+    def test_both_sources_raises(self, config_dir: pathlib.Path) -> None:
+        path = _write_config(config_dir, api_version="0.7.67")
+        with pytest.raises(click.ClickException, match="both"):
+            resolve_langgraph_api_version(path, "0.8.0")
+
+    def test_partial_version_resolves_from_dockerhub(
+        self, config_dir: pathlib.Path, monkeypatch: pytest.MonkeyPatch
+    ) -> None:
+        path = _write_config(config_dir, api_version="0.7")
+
+        fake_body = json.dumps(
+            {"results": [{"name": "latest"}, {"name": "0.7.67"}]}
+        ).encode()
+
+        def mock_urlopen(url, *, timeout=None):
+            assert "name=0.7" in url
+            return io.BytesIO(fake_body)
+
+        monkeypatch.setattr(urllib.request, "urlopen", mock_urlopen)
+        assert resolve_langgraph_api_version(path, None) == "0.7.67"
+
+    def test_partial_cli_version_resolves_from_dockerhub(
+        self, config_dir: pathlib.Path, monkeypatch: pytest.MonkeyPatch
+    ) -> None:
+        path = _write_config(config_dir)
+
+        fake_body = json.dumps(
+            {"results": [{"name": "0.8.1"}, {"name": "0.8.0"}]}
+        ).encode()
+
+        def mock_urlopen(url, *, timeout=None):
+            assert "name=0.8" in url
+            return io.BytesIO(fake_body)
+
+        monkeypatch.setattr(urllib.request, "urlopen", mock_urlopen)
+        assert resolve_langgraph_api_version(path, "0.8") == "0.8.1"
+
+    def test_missing_config_file_fetches_latest(
+        self, config_dir: pathlib.Path, monkeypatch: pytest.MonkeyPatch
+    ) -> None:
+        path = config_dir / "nonexistent.json"
+
+        fake_body = json.dumps({"results": [{"name": "0.9.2"}]}).encode()
+
+        def mock_urlopen(url, *, timeout=None):
+            return io.BytesIO(fake_body)
+
+        monkeypatch.setattr(urllib.request, "urlopen", mock_urlopen)
+        assert resolve_langgraph_api_version(path, None) == "0.9.2"
+
+    def test_missing_config_file_with_cli_version(
+        self, config_dir: pathlib.Path
+    ) -> None:
+        path = config_dir / "nonexistent.json"
+        assert resolve_langgraph_api_version(path, "0.7.67") == "0.7.67"
+
+
+class TestFetchMatchingVersion:
+    def test_empty_prefix_returns_latest(self, monkeypatch: pytest.MonkeyPatch) -> None:
+        fake_body = json.dumps(
+            {"results": [{"name": "latest"}, {"name": "0.9.2"}, {"name": "abc123"}]}
+        ).encode()
+
+        def mock_urlopen(url, *, timeout=None):
+            assert "name=" not in url
+            return io.BytesIO(fake_body)
+
+        monkeypatch.setattr(urllib.request, "urlopen", mock_urlopen)
+        assert _fetch_matching_version() == "0.9.2"
+
+    def test_returns_first_semver(self, monkeypatch: pytest.MonkeyPatch) -> None:
+        fake_body = json.dumps(
+            {"results": [{"name": "latest"}, {"name": "abc1234"}, {"name": "0.7.67"}]}
+        ).encode()
+
+        def mock_urlopen(url, *, timeout=None):
+            return io.BytesIO(fake_body)
+
+        monkeypatch.setattr(urllib.request, "urlopen", mock_urlopen)
+        assert _fetch_matching_version("0.7") == "0.7.67"
+
+    def test_no_semver_raises(self, monkeypatch: pytest.MonkeyPatch) -> None:
+        fake_body = json.dumps(
+            {"results": [{"name": "latest"}, {"name": "abc1234"}]}
+        ).encode()
+
+        def mock_urlopen(url, *, timeout=None):
+            return io.BytesIO(fake_body)
+
+        monkeypatch.setattr(urllib.request, "urlopen", mock_urlopen)
+        with pytest.raises(click.ClickException, match="Could not find a version"):
+            _fetch_matching_version("0.7")
+
+    def test_network_error_raises(self, monkeypatch: pytest.MonkeyPatch) -> None:
+        def mock_urlopen(url, *, timeout=None):
+            raise urllib.error.URLError("connection refused")
+
+        monkeypatch.setattr(urllib.request, "urlopen", mock_urlopen)
+        with pytest.raises(click.ClickException, match="Failed to fetch"):
+            _fetch_matching_version("0.7")

libs/cli/tests/unit_tests/test_config.py

@@ -1772,18 +1772,20 @@ def test_config_to_compose_distributed_mode():
         validate_config({"dependencies": ["."], "graphs": graphs}),
         "langchain/langgraph-api",
         engine_runtime_mode="distributed",
+        api_version="0.7.67",
     )
 
     # API service uses langchain/langgraph-api base image
-    assert "FROM langchain/langgraph-api:3.11" in actual_compose_stdin
+    assert "FROM langchain/langgraph-api:0.7.67-py3.11" in actual_compose_stdin
 
-    # Orchestrator service is present
+    # Orchestrator service is present with pinned version
     assert "langgraph-orchestrator:" in actual_compose_stdin
+    assert "langchain/langgraph-orchestrator-licensed:0.7.67" in actual_compose_stdin
     assert "EXECUTOR_TARGET: langgraph-executor:8188" in actual_compose_stdin
 
     # 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 "FROM langchain/langgraph-executor:0.7.67-py3.11" in actual_compose_stdin
     assert (
         'entrypoint: ["sh", "/storage/executor_entrypoint.sh"]' in actual_compose_stdin
     )
@@ -1804,6 +1806,7 @@ def test_config_to_compose_distributed_mode_with_env_file():
         validate_config({"dependencies": ["."], "graphs": graphs, "env": ".env"}),
         "langchain/langgraph-api",
         engine_runtime_mode="distributed",
+        api_version="0.7.67",
     )
 
     # env_file should appear multiple times: API, orchestrator, executor
@@ -1822,6 +1825,7 @@ def test_config_to_compose_distributed_mode_generates_two_dockerfiles():
         validate_config({"dependencies": ["."], "graphs": graphs}),
         "langchain/langgraph-api",
         engine_runtime_mode="distributed",
+        api_version="0.7.67",
     )
 
     # Should contain two different FROM lines
@@ -1831,8 +1835,8 @@ def test_config_to_compose_distributed_mode_generates_two_dockerfiles():
         if line.strip().startswith("FROM ")
     ]
     assert len(from_lines) == 2
-    assert "FROM langchain/langgraph-api:3.11" in from_lines[0]
-    assert "FROM langchain/langgraph-executor:3.11" in from_lines[1]
+    assert "FROM langchain/langgraph-api:0.7.67-py3.11" in from_lines[0]
+    assert "FROM langchain/langgraph-executor:0.7.67-py3.11" in from_lines[1]
 
 
 def test_config_to_compose_combined_mode_no_orchestrator():
@@ -1871,6 +1875,7 @@ def test_config_to_compose_distributed_executor_gets_correct_paths():
         validate_config({"dependencies": ["."], "graphs": graphs}),
         "langchain/langgraph-api",
         engine_runtime_mode="distributed",
+        api_version="0.7.67",
     )
 
     # Both API and executor Dockerfiles should contain valid LANGSERVE_GRAPHS
@@ -1886,6 +1891,34 @@ def test_config_to_compose_distributed_executor_gets_correct_paths():
     )
 
 
+def test_config_to_compose_distributed_orchestrator_uses_api_version():
+    """Orchestrator image tag should use the api_version when provided."""
+    graphs = {"agent": "./agent.py:graph"}
+    actual = config_to_compose(
+        PATH_TO_CONFIG,
+        validate_config({"dependencies": ["."], "graphs": graphs}),
+        "langchain/langgraph-api",
+        engine_runtime_mode="distributed",
+        api_version="0.7.67",
+    )
+    assert "langchain/langgraph-orchestrator-licensed:0.7.67" in actual
+
+
+def test_config_to_compose_distributed_all_images_same_version():
+    """All 3 images (api, executor, orchestrator) should use the same api_version."""
+    graphs = {"agent": "./agent.py:graph"}
+    actual = config_to_compose(
+        PATH_TO_CONFIG,
+        validate_config({"dependencies": ["."], "graphs": graphs}),
+        "langchain/langgraph-api",
+        engine_runtime_mode="distributed",
+        api_version="0.7.67",
+    )
+    assert "FROM langchain/langgraph-api:0.7.67-py3.11" in actual
+    assert "FROM langchain/langgraph-executor:0.7.67-py3.11" in actual
+    assert "langchain/langgraph-orchestrator-licensed:0.7.67" in actual
+
+
 class TestHasDisallowedBuildCommandContent:
     """Tests for has_disallowed_build_command_content."""
 

libs/cli/tests/unit_tests/test_deploy_helpers.py

@@ -3,17 +3,14 @@ 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:
@@ -135,92 +132,3 @@ 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_engine_runtime_mode.py

@@ -0,0 +1,99 @@
+import json
+import pathlib
+
+import click
+import pytest
+
+from langgraph_cli.engine_runtime_mode import resolve_engine_runtime_mode
+
+
+def _write_config(
+    tmp_path: pathlib.Path,
+    *,
+    python_version: str | None = "3.11",
+    node_version: str | None = None,
+) -> pathlib.Path:
+    cfg: dict = {"dependencies": ["."], "graphs": {"agent": "agent.py:graph"}}
+    if python_version is not None:
+        cfg["python_version"] = python_version
+    if node_version is not None:
+        cfg["node_version"] = node_version
+    path = tmp_path / "langgraph.json"
+    path.write_text(json.dumps(cfg))
+    return path
+
+
+class TestResolveEngineRuntimeMode:
+    # -- cli_param == "distributed" -------------------------------------------
+
+    def test_distributed_explicit_new_version(self, tmp_path: pathlib.Path) -> None:
+        path = _write_config(tmp_path)
+        assert (
+            resolve_engine_runtime_mode(path, "0.7.68", "distributed") == "distributed"
+        )
+
+    def test_distributed_explicit_old_version_raises(
+        self, tmp_path: pathlib.Path
+    ) -> None:
+        path = _write_config(tmp_path)
+        with pytest.raises(click.ClickException, match="0.7.67"):
+            resolve_engine_runtime_mode(path, "0.7.67", "distributed")
+
+    def test_distributed_explicit_js_raises(self, tmp_path: pathlib.Path) -> None:
+        path = _write_config(tmp_path, python_version=None, node_version="20")
+        with pytest.raises(click.ClickException, match="JavaScript"):
+            resolve_engine_runtime_mode(path, "0.8.0", "distributed")
+
+    def test_distributed_explicit_js_and_old_version_raises(
+        self, tmp_path: pathlib.Path
+    ) -> None:
+        path = _write_config(tmp_path, python_version=None, node_version="20")
+        with pytest.raises(click.ClickException, match="JavaScript.*0.7.60"):
+            resolve_engine_runtime_mode(path, "0.7.60", "distributed")
+
+    # -- cli_param == "combined_queue_worker" ----------------------------------
+
+    def test_combined_explicit(self, tmp_path: pathlib.Path) -> None:
+        path = _write_config(tmp_path)
+        assert (
+            resolve_engine_runtime_mode(path, "0.8.0", "combined_queue_worker")
+            == "combined_queue_worker"
+        )
+
+    def test_combined_explicit_old_version(self, tmp_path: pathlib.Path) -> None:
+        path = _write_config(tmp_path)
+        assert (
+            resolve_engine_runtime_mode(path, "0.7.67", "combined_queue_worker")
+            == "combined_queue_worker"
+        )
+
+    # -- cli_param is None (default) -------------------------------------------
+
+    def test_default_is_distributed(self, tmp_path: pathlib.Path) -> None:
+        path = _write_config(tmp_path)
+        assert resolve_engine_runtime_mode(path, "0.8.0", None) == "distributed"
+
+    def test_default_old_version(self, tmp_path: pathlib.Path) -> None:
+        path = _write_config(tmp_path)
+        assert resolve_engine_runtime_mode(path, "0.7.67", None) == "distributed"
+
+    def test_default_js(self, tmp_path: pathlib.Path) -> None:
+        path = _write_config(tmp_path, python_version=None, node_version="20")
+        assert resolve_engine_runtime_mode(path, "0.8.0", None) == "distributed"
+
+    # -- edge: version boundary ------------------------------------------------
+
+    def test_version_boundary_0_7_67_blocks_distributed(
+        self, tmp_path: pathlib.Path
+    ) -> None:
+        path = _write_config(tmp_path)
+        with pytest.raises(click.ClickException):
+            resolve_engine_runtime_mode(path, "0.7.67", "distributed")
+
+    def test_version_boundary_0_7_68_allows_distributed(
+        self, tmp_path: pathlib.Path
+    ) -> None:
+        path = _write_config(tmp_path)
+        assert (
+            resolve_engine_runtime_mode(path, "0.7.68", "distributed") == "distributed"
+        )

libs/cli/tests/unit_tests/test_host_backend.py

@@ -135,28 +135,6 @@ 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}
@@ -174,6 +152,77 @@ def test_update_deployment_no_secrets(client):
     assert result == {"ok": True}
 
 
+def test_update_deployment_with_engine_runtime_mode():
+    """Verify engine_runtime_mode is included in the PATCH payload."""
+    import json
+
+    def handler(req: httpx.Request) -> httpx.Response:
+        body = json.loads(req.content)
+        assert body["engine_runtime_mode"] == "distributed"
+        assert body["source_revision_config"]["image_uri"] == "img:v1"
+        return httpx.Response(200, json={"id": "dep-1"})
+
+    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.update_deployment("dep-1", "img:v1", engine_runtime_mode="distributed")
+    assert result == {"id": "dep-1"}
+
+
+def test_update_deployment_with_deployed_api_version():
+    """Verify deployed_api_version is included in the PATCH payload."""
+    import json
+
+    def handler(req: httpx.Request) -> httpx.Response:
+        body = json.loads(req.content)
+        assert body["deployed_api_version"] == "0.3.5"
+        assert body["engine_runtime_mode"] == "distributed"
+        assert body["source_revision_config"]["image_uri"] == "img:v2"
+        assert body["secrets"] == [{"name": "K", "value": "V"}]
+        return httpx.Response(200, json={"id": "dep-2"})
+
+    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.update_deployment(
+        "dep-2",
+        "img:v2",
+        secrets=[{"name": "K", "value": "V"}],
+        engine_runtime_mode="distributed",
+        deployed_api_version="0.3.5",
+    )
+    assert result == {"id": "dep-2"}
+
+
+def test_update_deployment_omits_none_fields():
+    """Verify None values for optional fields are not sent in payload."""
+    import json
+
+    def handler(req: httpx.Request) -> httpx.Response:
+        body = json.loads(req.content)
+        assert "engine_runtime_mode" not in body
+        assert "deployed_api_version" not in body
+        assert "secrets" not in body
+        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,
+    )
+    c.update_deployment("dep-3", "img:v1")
+
+
 def test_list_revisions(client):
     result = client.list_revisions("dep-123", limit=5)
     assert result == {"ok": True}
@@ -182,41 +231,3 @@ 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

@@ -1,58 +0,0 @@
-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

@@ -1,11 +1,6 @@
 from unittest.mock import patch
 
-from langgraph_cli.util import (
-    _extract_deployment_url,
-    clean_empty_lines,
-    format_deployments_table,
-    warn_non_wolfi_distro,
-)
+from langgraph_cli.util import clean_empty_lines, warn_non_wolfi_distro
 
 
 def test_clean_empty_lines():
@@ -191,36 +186,3 @@ 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

@@ -992,6 +992,7 @@ 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]
@@ -1088,15 +1089,15 @@ wheels = [
 
 [[package]]
 name = "langgraph-sdk"
-version = "0.3.11"
+version = "0.3.9"
 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/35/cd/a019f1b1e97c519f2425593f9bccd3ac463a18fb5d2111cff59ce1ef62fe/langgraph_sdk-0.3.11.tar.gz", hash = "sha256:3640134835d89d2c7c8bb7de73bd10673d4b282db3ff0e2fdaf1cee9e50cb1eb", size = 190387, upload-time = "2026-03-11T00:46:45.25Z" }
+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" }
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+    { 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" },
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 [[package]]
@@ -1796,11 +1797,11 @@ wheels = [
 
 [[package]]
 name = "pyjwt"
-version = "2.12.0"
+version = "2.11.0"
 source = { registry = "https://pypi.org/simple" }
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 wheels = [
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+    { 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" },
 ]
 
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-version = "0.15.6"
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 ]
 
 [[package]]

libs/langgraph/langgraph/pregel/_loop.py

@@ -647,24 +647,13 @@ 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.
-        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)
-            )
+        # 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)
         ):
             self.checkpoint_pending_writes = [
                 w for w in self.checkpoint_pending_writes if w[1] != RESUME
@@ -1138,15 +1127,9 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
     def __enter__(self) -> Self:
         if not self.checkpointer:
             saved = None
-        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.
+        elif self.is_nested and (
+            replay_state := self.config[CONF].get(CONFIG_KEY_REPLAY_STATE)
+        ):
             saved = replay_state.get_checkpoint(
                 self.config[CONF].get(CONFIG_KEY_CHECKPOINT_NS, ""),
                 self.checkpointer,
@@ -1158,7 +1141,9 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
             self.config[CONF].pop(CONFIG_KEY_RESUMING, None)
         else:
             # Normal case: fetch the most recent checkpoint for this
-            # graph/thread. Returns None on first invocation.
+            # 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).
             saved = self.checkpointer.get_tuple(self.checkpoint_config)
 
         if saved is None:
@@ -1337,15 +1322,9 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
     async def __aenter__(self) -> Self:
         if not self.checkpointer:
             saved = None
-        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.
+        elif self.is_nested and (
+            replay_state := self.config[CONF].get(CONFIG_KEY_REPLAY_STATE)
+        ):
             saved = await replay_state.aget_checkpoint(
                 self.config[CONF].get(CONFIG_KEY_CHECKPOINT_NS, ""),
                 self.checkpointer,
@@ -1357,7 +1336,9 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
             self.config[CONF].pop(CONFIG_KEY_RESUMING, None)
         else:
             # Normal case: fetch the most recent checkpoint for this
-            # graph/thread. Returns None on first invocation.
+            # 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).
             saved = await self.checkpointer.aget_tuple(self.checkpoint_config)
 
         if saved is None:

libs/langgraph/langgraph/pregel/_retry.py

@@ -14,11 +14,9 @@ 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__)
@@ -62,33 +60,10 @@ 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()
@@ -127,7 +102,7 @@ def run_with_retry(
             if not matching_policy:
                 raise
 
-            # attempts tracks failed tries only; it increments after a failure.
+            # increment attempts
             attempts += 1
             # check if we should give up
             if attempts >= matching_policy.max_attempts:
@@ -166,38 +141,15 @@ 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()
@@ -242,8 +194,7 @@ async def arun_with_retry(
             if not matching_policy:
                 raise
 
-            # attempts tracks failed tries only; it increments after a failure.
-            # The next execution's node_attempt is derived as attempts + 1.
+            # increment attempts
             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, ExecutionInfo, Runtime
+from langgraph.runtime import DEFAULT_RUNTIME, 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[StateT, OutputT]]: ...
+    ) -> Iterator[StreamPart[OutputT, StateT]]: ...
 
     @overload
     def stream(
@@ -2648,7 +2648,6 @@ 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)
@@ -2788,7 +2787,7 @@ class Pregel(
         debug: bool | None = None,
         version: Literal["v2"],
         **kwargs: Unpack[DeprecatedKwargs],
-    ) -> AsyncIterator[StreamPart[StateT, OutputT]]: ...
+    ) -> AsyncIterator[StreamPart[OutputT, StateT]]: ...
 
     @overload
     def astream(
@@ -3015,7 +3014,6 @@ 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)
@@ -3196,7 +3194,7 @@ class Pregel(
         durability: Durability | None = None,
         version: Literal["v2"],
         **kwargs: Any,
-    ) -> list[StreamPart[StateT, OutputT]]: ...
+    ) -> list[StreamPart[OutputT, StateT]]: ...
 
     @overload
     def invoke(
@@ -3366,7 +3364,7 @@ class Pregel(
         durability: Durability | None = None,
         version: Literal["v2"],
         **kwargs: Any,
-    ) -> list[StreamPart[StateT, OutputT]]: ...
+    ) -> list[StreamPart[OutputT, StateT]]: ...
 
     @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[StateT, OutputT]]: ...
+    ) -> Iterator[StreamPart[OutputT, StateT]]: ...
 
     @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[StateT, OutputT]]: ...
+    ) -> AsyncIterator[StreamPart[OutputT, StateT]]: ...
 
     @overload
     @abstractmethod

libs/langgraph/langgraph/pregel/remote.py

@@ -31,7 +31,6 @@ from langgraph_sdk.client import (
 )
 from langgraph_sdk.schema import (
     Checkpoint,
-    Context,
     QueryParamTypes,
     ThreadState,
 )
@@ -692,7 +691,6 @@ 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,
@@ -709,7 +707,6 @@ 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,
@@ -725,7 +722,6 @@ 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,
@@ -738,7 +734,7 @@ class RemoteGraph(PregelProtocol):
         """Create a run and stream the results.
 
         This method calls `POST /threads/{thread_id}/runs/stream` if a `thread_id`
-        is specified in the `configurable` field of the config or
+        is speciffed in the `configurable` field of the config or
         `POST /runs/stream` otherwise.
 
         Args:
@@ -773,7 +769,6 @@ class RemoteGraph(PregelProtocol):
             input=input,
             command=command,
             config=sanitized_config,
-            context=context,
             stream_mode=stream_modes,
             interrupt_before=interrupt_before,
             interrupt_after=interrupt_after,
@@ -847,7 +842,6 @@ 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,
@@ -864,7 +858,6 @@ 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,
@@ -880,7 +873,6 @@ 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,
@@ -893,7 +885,7 @@ class RemoteGraph(PregelProtocol):
         """Create a run and stream the results.
 
         This method calls `POST /threads/{thread_id}/runs/stream` if a `thread_id`
-        is specified in the `configurable` field of the config or
+        is speciffed in the `configurable` field of the config or
         `POST /runs/stream` otherwise.
 
         Args:
@@ -928,7 +920,6 @@ class RemoteGraph(PregelProtocol):
             input=input,
             command=command,
             config=sanitized_config,
-            context=context,
             stream_mode=stream_modes,
             interrupt_before=interrupt_before,
             interrupt_after=interrupt_after,
@@ -1018,7 +1009,6 @@ 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,
@@ -1033,7 +1023,6 @@ 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,
@@ -1047,7 +1036,6 @@ 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,
@@ -1073,7 +1061,6 @@ 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,
@@ -1100,7 +1087,6 @@ 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,
@@ -1115,7 +1101,6 @@ 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,
@@ -1129,7 +1114,6 @@ 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,
@@ -1155,7 +1139,6 @@ 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, NamedTuple, cast
+from typing import Any, Generic, cast
 
 from langgraph.store.base import BaseStore
 from typing_extensions import TypedDict, Unpack
@@ -11,21 +11,7 @@ from langgraph.config import get_config
 from langgraph.types import _DC_KWARGS, StreamWriter
 from langgraph.typing import ContextT
 
-__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)
+__all__ = ("Runtime", "get_runtime")
 
 
 def _no_op_stream_writer(_: Any) -> None: ...
@@ -36,7 +22,6 @@ class _RuntimeOverrides(TypedDict, Generic[ContextT], total=False):
     store: BaseStore | None
     stream_writer: StreamWriter
     previous: Any
-    execution_info: ExecutionInfo
 
 
 @dataclass(**_DC_KWARGS)
@@ -44,7 +29,7 @@ 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`, `previous`, and `execution_info`.
+    `context`, `store`, `stream_writer`, and `previous`.
 
     !!! note "Accessing `config`"
 
@@ -130,9 +115,6 @@ 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.
 
@@ -145,7 +127,6 @@ 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(
@@ -154,20 +135,12 @@ 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=(StateT, OutputT),
+    type_params=(OutputT, StateT),
 )
 """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 = "1.1.3"
+version = "1.0.10"
 description = "Building stateful, multi-actor applications with LLMs"
 authors = []
 requires-python = ">=3.10"

libs/langgraph/tests/test_remote_graph.py

@@ -1,6 +1,5 @@
 import re
 import sys
-from dataclasses import dataclass
 from typing import Annotated
 from unittest.mock import AsyncMock, MagicMock
 
@@ -11,7 +10,6 @@ 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
@@ -910,188 +908,6 @@ 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

@@ -5,7 +5,6 @@ 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
 
 
@@ -169,15 +168,10 @@ 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, runtime: Runtime):
+    def failing_node(state: State):
         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"}
@@ -209,11 +203,6 @@ 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
@@ -221,30 +210,6 @@ 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[_StateT, _OutputT]) -> None:
+def _check_type_narrowing(part: StreamPart[_OutputT, _StateT]) -> 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

@@ -1116,631 +1116,6 @@ 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

@@ -1051,552 +1051,6 @@ 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 = [
 
 [[package]]
 name = "langchain-core"
-version = "1.2.19"
+version = "1.2.17"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jsonpatch" },
@@ -1360,14 +1360,14 @@ dependencies = [
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     { name = "uuid-utils" },
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 ]
 
 [[package]]
 name = "langgraph"
-version = "1.1.3"
+version = "1.0.10"
 source = { editable = "." }
 dependencies = [
     { name = "langchain-core" },
@@ -1596,7 +1596,7 @@ test = [
 
 [[package]]
 name = "langgraph-checkpoint-postgres"
-version = "3.0.5"
+version = "3.0.4"
 source = { editable = "../checkpoint-postgres" }
 dependencies = [
     { name = "langgraph-checkpoint" },
@@ -1828,16 +1828,16 @@ dev = [
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },
     { name = "pytest-watch" },
-    { name = "ruff", specifier = "==0.15.6" },
+    { name = "ruff", specifier = "==0.15.5" },
     { name = "starlette" },
-    { name = "ty", specifier = "==0.0.23" },
+    { name = "ty", specifier = "==0.0.21" },
 ]
 lint = [
     { name = "codespell" },
     { name = "mypy", specifier = "==1.19.1" },
-    { name = "ruff", specifier = "==0.15.6" },
+    { name = "ruff", specifier = "==0.15.5" },
     { name = "starlette" },
-    { name = "ty", specifier = "==0.0.23" },
+    { name = "ty", specifier = "==0.0.21" },
 ]
 test = [
     { name = "pytest" },
@@ -2294,83 +2294,83 @@ wheels = [
 
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 ]
 
 [[package]]

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__ = "0.3.12"
+__version__ = "0.3.10"
 
 __all__ = ["Auth", "Encryption", "EncryptionContext", "get_client", "get_sync_client"]

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

@@ -4,11 +4,10 @@ from __future__ import annotations
 
 import warnings
 from collections.abc import Mapping, Sequence
-from datetime import datetime, tzinfo
+from datetime import datetime
 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,
@@ -71,7 +70,6 @@ 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,
@@ -86,7 +84,7 @@ 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 unless a timezone is specified.
+                Schedules are interpreted in UTC.
             input: The input to the graph.
             metadata: Metadata to assign to the cron job runs.
             config: The configuration for the assistant.
@@ -102,7 +100,6 @@ 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.
@@ -155,7 +152,6 @@ 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,
@@ -188,7 +184,6 @@ 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,
@@ -202,7 +197,7 @@ 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 unless a timezone is specified.
+                Schedules are interpreted in UTC.
             input: The input to the graph.
             metadata: Metadata to assign to the cron job runs.
             config: The configuration for the assistant.
@@ -220,7 +215,6 @@ 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.
@@ -274,7 +268,6 @@ 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,
@@ -331,7 +324,6 @@ 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,
@@ -344,7 +336,7 @@ class CronClient:
         Args:
             cron_id: The cron ID to update.
             schedule: The cron schedule to execute this job on.
-                Schedules are interpreted in UTC unless a timezone is specified.
+                Schedules are interpreted in UTC.
             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.
@@ -358,7 +350,6 @@ 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.
@@ -393,7 +384,6 @@ 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

@@ -6,17 +6,13 @@ import functools
 import os
 import re
 from collections.abc import Mapping
-from datetime import tzinfo
-from typing import TYPE_CHECKING, Any, cast
+from typing import 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())
@@ -129,35 +125,6 @@ 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

@@ -4,10 +4,9 @@ from __future__ import annotations
 
 import warnings
 from collections.abc import Mapping, Sequence
-from datetime import datetime, tzinfo
+from datetime import datetime
 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,
@@ -65,7 +64,6 @@ 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,
@@ -80,7 +78,7 @@ 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 unless a timezone is specified.
+                Schedules are interpreted in UTC.
             input: The input to the graph.
             metadata: Metadata to assign to the cron job runs.
             config: The configuration for the assistant.
@@ -94,7 +92,6 @@ 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.
@@ -147,7 +144,6 @@ 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,
@@ -178,7 +174,6 @@ 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,
@@ -192,7 +187,7 @@ 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 unless a timezone is specified.
+                Schedules are interpreted in UTC.
             input: The input to the graph.
             metadata: Metadata to assign to the cron job runs.
             config: The configuration for the assistant.
@@ -210,7 +205,6 @@ 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.
@@ -265,7 +259,6 @@ 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,
@@ -320,7 +313,6 @@ 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,
@@ -333,7 +325,7 @@ class SyncCronClient:
         Args:
             cron_id: The cron ID to update.
             schedule: The cron schedule to execute this job on.
-                Schedules are interpreted in UTC unless a timezone is specified.
+                Schedules are interpreted in UTC.
             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.
@@ -347,7 +339,6 @@ 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.
@@ -382,7 +373,6 @@ 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/cache.py

@@ -7,22 +7,8 @@ Values must be JSON-serializable (dicts, lists, strings, numbers, booleans,
 
 from __future__ import annotations
 
-import dataclasses
-import enum
-import functools
-import inspect
-from collections.abc import Awaitable, Callable, Mapping
-from datetime import date, datetime, time, timedelta
-from decimal import Decimal
-from pathlib import PurePath
-from typing import Any, Generic, Literal, TypeVar, get_type_hints, overload
-from uuid import UUID
-
-import orjson
-
-T = TypeVar("T")
-
-CacheStatus = Literal["miss", "fresh", "stale", "expired"]
+from datetime import timedelta
+from typing import Any
 
 try:
     from langgraph_api.cache import (  # type: ignore[unresolved-import]
@@ -36,30 +22,9 @@ except ImportError:
     _cache_set = None
 
 
-try:
-    from langgraph_api.cache import SWRResult  # type: ignore[unresolved-import]
-    from langgraph_api.cache import swr as _api_swr  # type: ignore[unresolved-import]
-
-except ImportError:
-    _api_swr = None
-
-    class SWRResult(Generic[T]):
-        """Result wrapper returned by :func:`swr`."""
-
-        value: T
-        status: CacheStatus
-
-        async def mutate(self, value: T = ...) -> T:  # type: ignore[assignment]
-            """Update or revalidate the cached value."""
-            ...
-
-
 __all__ = [
-    "SWRResult",
     "cache_get",
     "cache_set",
-    "swr",
-    "swr_cached",
 ]
 
 
@@ -95,321 +60,3 @@ async def cache_set(key: str, value: Any, *, ttl: timedelta | None = None) -> No
             "(https://docs.langchain.com/langsmith/deployments)."
         )
     await _cache_set(key, value, ttl)
-
-
-async def swr(
-    key: str,
-    loader: Callable[[], Awaitable[T]],
-    *,
-    fresh_for: timedelta | None = None,
-    max_age: timedelta | None = None,
-    model: type[T] | None = None,
-) -> SWRResult[T]:
-    """Load a cached value using stale-while-revalidate semantics.
-
-    This helper is server-side only and is intended for caching internal async
-    dependencies such as auth or metadata lookups.
-
-    Args:
-        key: Cache key.
-        loader: Async callable that fetches the value on miss/revalidation.
-        fresh_for: How long a cached value is considered fresh (no revalidation).
-            Defaults to ``timedelta(0)`` so every access triggers a background
-            revalidate while still returning the cached value instantly. Values
-            above :data:`MAX_CACHE_TTL` are clamped to the backend maximum.
-        max_age: Total lifetime of a cached entry. After this, the next access
-            blocks on the loader. Defaults to :data:`MAX_CACHE_TTL` (24 h by
-            default). Values above :data:`MAX_CACHE_TTL` are clamped to the
-            backend maximum.
-        model: Optional Pydantic model class. When provided, values are
-            serialized via ``model_dump(mode="json")`` before storage and
-            deserialized via ``model.model_validate()`` on read.
-
-    Returns:
-        An :class:`SWRResult` with ``.value``, ``.status``, and an async
-        ``.mutate()`` method.
-
-    Semantics:
-    - cache miss: await ``loader()``, store the value, return it
-    - fresh hit (age < fresh_for): return the cached value
-    - stale hit (fresh_for <= age < max_age): return the cached value
-      immediately and trigger a best-effort background refresh
-    - expired (age >= max_age): await ``loader()``, store the value, return it
-    """
-    if _api_swr is None:
-        raise RuntimeError(
-            "Cache is only available server-side within the LangGraph Agent Server "
-            "(https://docs.langchain.com/langsmith/deployments)."
-        )
-    if fresh_for is None:
-        fresh_for = timedelta(0)
-    if max_age is None:
-        max_age = timedelta(days=1)
-    return await _api_swr(
-        key, loader, fresh_for=fresh_for, max_age=max_age, model=model
-    )
-
-
-def _build_cache_key(
-    module: str,
-    qualname: str,
-    sig: inspect.Signature,
-    args: tuple[Any, ...],
-    kwargs: dict[str, Any],
-) -> str:
-    bound = sig.bind(*args, **kwargs)
-    bound.apply_defaults()
-    payload = {
-        "module": module,
-        "qualname": qualname,
-        "args": [
-            {
-                "name": name,
-                "value": _normalize_cache_key_value(value, name=name, path=name),
-            }
-            for name, value in bound.arguments.items()
-        ],
-    }
-    return orjson.dumps(payload, option=orjson.OPT_SORT_KEYS).decode()
-
-
-def _type_identifier(tp: type[Any]) -> str:
-    return f"{tp.__module__}.{tp.__qualname__}"
-
-
-def _stable_key_dump(value: Any) -> bytes:
-    return orjson.dumps(value, option=orjson.OPT_SORT_KEYS)
-
-
-def _normalize_cache_key_value(
-    value: Any,
-    *,
-    name: str | None = None,
-    path: str = "value",
-) -> Any:
-    if name in {"self", "cls"}:
-        cls = value if isinstance(value, type) else type(value)
-        return {"class": _type_identifier(cls), "kind": name}
-
-    if value is None or isinstance(value, (str, int, float, bool)):
-        return value
-
-    if isinstance(value, bytes):
-        return {"hex": value.hex(), "kind": "bytes"}
-
-    if isinstance(value, (datetime, date, time)):
-        return {"kind": type(value).__name__, "value": value.isoformat()}
-
-    if isinstance(value, timedelta):
-        return {"kind": "timedelta", "value": value.total_seconds()}
-
-    if isinstance(value, Decimal):
-        return {"kind": "decimal", "value": str(value)}
-
-    if isinstance(value, UUID):
-        return {"kind": "uuid", "value": str(value)}
-
-    if isinstance(value, PurePath):
-        return {"kind": "path", "value": str(value)}
-
-    if isinstance(value, enum.Enum):
-        return {
-            "kind": "enum",
-            "type": _type_identifier(type(value)),
-            "value": _normalize_cache_key_value(value.value, path=f"{path}.value"),
-        }
-
-    if dataclasses.is_dataclass(value) and not isinstance(value, type):
-        return {
-            "fields": {
-                field.name: _normalize_cache_key_value(
-                    getattr(value, field.name),
-                    path=f"{path}.{field.name}",
-                )
-                for field in dataclasses.fields(value)
-            },
-            "kind": "dataclass",
-            "type": _type_identifier(type(value)),
-        }
-
-    if hasattr(value, "model_dump") and callable(value.model_dump):
-        if isinstance(value, type):
-            raise TypeError(
-                f"Cannot auto-generate a stable cache key for `{path}` from the "
-                f"type object {value!r}. Pass `key=` to `swr_cached` instead."
-            )
-        return {
-            "kind": "model",
-            "type": _type_identifier(type(value)),
-            "value": _normalize_cache_key_value(
-                value.model_dump(mode="json"),
-                path=path,
-            ),
-        }
-
-    if hasattr(value, "dict") and callable(value.dict):
-        if isinstance(value, type):
-            raise TypeError(
-                f"Cannot auto-generate a stable cache key for `{path}` from the "
-                f"type object {value!r}. Pass `key=` to `swr_cached` instead."
-            )
-        return {
-            "kind": "model",
-            "type": _type_identifier(type(value)),
-            "value": _normalize_cache_key_value(value.dict(), path=path),
-        }
-
-    if isinstance(value, Mapping):
-        items = [
-            {
-                "key": _normalize_cache_key_value(key, path=f"{path}.<key>"),
-                "value": _normalize_cache_key_value(
-                    item,
-                    path=f"{path}[{key!r}]",
-                ),
-            }
-            for key, item in value.items()
-        ]
-        items.sort(key=lambda item: _stable_key_dump(item["key"]))
-        return {"items": items, "kind": "mapping"}
-
-    if isinstance(value, tuple):
-        return {
-            "items": [
-                _normalize_cache_key_value(item, path=f"{path}[{index}]")
-                for index, item in enumerate(value)
-            ],
-            "kind": "tuple",
-        }
-
-    if isinstance(value, list):
-        return {
-            "items": [
-                _normalize_cache_key_value(item, path=f"{path}[{index}]")
-                for index, item in enumerate(value)
-            ],
-            "kind": "list",
-        }
-
-    if isinstance(value, (set, frozenset)):
-        items = [_normalize_cache_key_value(item, path=f"{path}[]") for item in value]
-        items.sort(key=_stable_key_dump)
-        return {"items": items, "kind": type(value).__name__}
-
-    if isinstance(value, type):
-        return {"kind": "type", "type": _type_identifier(value)}
-
-    if type(value).__repr__ is object.__repr__:
-        raise TypeError(
-            f"Cannot auto-generate a stable cache key for `{path}` of type "
-            f"`{_type_identifier(type(value))}`. Pass `key=` to `swr_cached` "
-            "instead."
-        )
-
-    return {
-        "kind": "repr",
-        "repr": repr(value),
-        "type": _type_identifier(type(value)),
-    }
-
-
-def _get_model_from_hints(func: Callable[..., Any]) -> type | None:
-    try:
-        hints = get_type_hints(func)
-    except Exception:
-        return None
-    ret = hints.get("return")
-    if ret is None:
-        return None
-    try:
-        from pydantic import BaseModel
-    except ImportError:
-        return None
-    if isinstance(ret, type) and issubclass(ret, BaseModel):
-        return ret
-    return None
-
-
-@overload
-def swr_cached(
-    fn: Callable[..., Awaitable[T]],
-    /,
-) -> Callable[..., Awaitable[SWRResult[T]]]: ...
-
-
-@overload
-def swr_cached(
-    *,
-    key: str | Callable[..., str] | None = ...,
-    fresh_for: timedelta | None = ...,
-    max_age: timedelta | None = ...,
-    model: type[T] | None = ...,
-) -> Callable[
-    [Callable[..., Awaitable[T]]], Callable[..., Awaitable[SWRResult[T]]]
-]: ...
-
-
-def swr_cached(
-    fn=None,
-    *,
-    key=None,
-    fresh_for=None,
-    max_age=None,
-    model=None,
-):
-    """Decorator that wraps an async function with :func:`swr` caching.
-
-    Can be used with or without parentheses::
-
-        @swr_cached
-        async def fetch_config():
-            ...
-
-        @swr_cached(fresh_for=timedelta(minutes=5))
-        async def fetch_profile(user_id: str) -> Profile:
-            ...
-
-    The cache key is auto-derived from the function's module, qualified name,
-    and a structured serialization of the bound call arguments. For methods,
-    ``self`` and ``cls`` are keyed by class identity rather than object
-    instance identity. Override with ``key=`` (a static string or a callable
-    that receives the same arguments as the decorated function) when method
-    state matters or arguments are not stably serializable.
-
-    If the return annotation is a Pydantic `BaseModel` subclass and
-    ``model`` is not provided, the model is inferred automatically.
-    """
-
-    def decorator(
-        func: Callable[..., Awaitable[T]],
-    ) -> Callable[..., Awaitable[SWRResult[T]]]:
-        sig = inspect.signature(func)
-        resolved_model = model
-        if resolved_model is None:
-            resolved_model = _get_model_from_hints(func)
-
-        @functools.wraps(func)
-        async def wrapper(*args: Any, **kwargs: Any) -> SWRResult[T]:
-            if key is None:
-                module = getattr(func, "__module__", None) or "unknown"
-                qualname = getattr(func, "__qualname__", None) or getattr(
-                    func, "__name__", "unknown"
-                )
-                cache_key = _build_cache_key(module, qualname, sig, args, kwargs)
-            elif callable(key):
-                cache_key = key(*args, **kwargs)
-            else:
-                cache_key = key
-            return await swr(
-                cache_key,
-                lambda: func(*args, **kwargs),
-                fresh_for=fresh_for,
-                max_age=max_age,
-                model=resolved_model,
-            )
-
-        return wrapper
-
-    if fn is not None:
-        return decorator(fn)
-    return decorator

libs/sdk-py/langgraph_sdk/schema.py

@@ -385,8 +385,6 @@ 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
@@ -408,8 +406,6 @@ 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
@@ -486,7 +482,6 @@ 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==0.15.6",
+    "ruff==0.15.5",
     "codespell",
     "mypy==1.19.1",
-    "ty==0.0.23",
+    "ty==0.0.21",
     "starlette",
 ]
 dev = [

libs/sdk-py/tests/test_cache.py

@@ -1,308 +0,0 @@
-import inspect
-from datetime import timedelta
-from unittest.mock import AsyncMock
-
-import orjson
-import pytest
-
-import langgraph_sdk.cache as cache_module
-from langgraph_sdk.cache import swr_cached
-
-
-@pytest.mark.asyncio
-async def test_swr_proxies_to_server_impl(monkeypatch):
-    loader = AsyncMock(return_value={"ok": True})
-    forwarded = {}
-
-    async def fake_swr(key, inner_loader, *, fresh_for, max_age, model):
-        forwarded["key"] = key
-        forwarded["fresh_for"] = fresh_for
-        forwarded["max_age"] = max_age
-        forwarded["model"] = model
-        return await inner_loader()
-
-    monkeypatch.setattr(cache_module, "_api_swr", fake_swr)
-
-    result = await cache_module.swr(
-        "test-key",
-        loader,
-        fresh_for=timedelta(seconds=1),
-        max_age=timedelta(seconds=10),
-    )
-
-    assert result == {"ok": True}
-    assert forwarded == {
-        "key": "test-key",
-        "fresh_for": timedelta(seconds=1),
-        "max_age": timedelta(seconds=10),
-        "model": None,
-    }
-    loader.assert_awaited_once()
-
-
-@pytest.mark.asyncio
-async def test_swr_requires_server_runtime(monkeypatch):
-    monkeypatch.setattr(cache_module, "_api_swr", None)
-
-    with pytest.raises(RuntimeError, match="Cache is only available server-side"):
-        await cache_module.swr(
-            "test-key",
-            AsyncMock(return_value="unused"),
-            fresh_for=timedelta(seconds=1),
-            max_age=timedelta(seconds=10),
-        )
-
-
-@pytest.mark.asyncio
-async def test_swr_defaults(monkeypatch):
-    """fresh_for defaults to 0, max_age defaults to 1 day."""
-    loader = AsyncMock(return_value="val")
-    forwarded = {}
-
-    async def fake_swr(_key, inner_loader, *, fresh_for, max_age, model):  # noqa: ARG001
-        forwarded["fresh_for"] = fresh_for
-        forwarded["max_age"] = max_age
-        return await inner_loader()
-
-    monkeypatch.setattr(cache_module, "_api_swr", fake_swr)
-
-    await cache_module.swr("k", loader)
-
-    assert forwarded["fresh_for"] == timedelta(0)
-    assert forwarded["max_age"] == timedelta(days=1)
-
-
-# -- swr_cached decorator tests --
-
-
-@pytest.mark.asyncio
-async def test_swr_cached_no_parens(monkeypatch):
-    """`@swr_cached` without parentheses uses a structured auto-derived key."""
-    forwarded = {}
-
-    async def fake_swr(key, loader, *, fresh_for, max_age, model):  # noqa: ARG001
-        forwarded["key"] = key
-        forwarded["model"] = model
-        return await loader()
-
-    monkeypatch.setattr(cache_module, "_api_swr", fake_swr)
-
-    @swr_cached
-    async def fetch_config():
-        return {"debug": True}
-
-    result = await fetch_config()
-    cache_key = orjson.loads(forwarded["key"])
-
-    assert result == {"debug": True}
-    assert cache_key == {
-        "args": [],
-        "module": fetch_config.__module__,
-        "qualname": fetch_config.__qualname__,
-    }
-    assert forwarded["model"] is None
-
-
-@pytest.mark.asyncio
-async def test_swr_cached_with_options(monkeypatch):
-    """@swr_cached(...) with keyword options."""
-    forwarded = {}
-
-    async def fake_swr(key, loader, *, fresh_for, max_age, model):  # noqa: ARG001
-        forwarded["key"] = key
-        forwarded["fresh_for"] = fresh_for
-        forwarded["max_age"] = max_age
-        return await loader()
-
-    monkeypatch.setattr(cache_module, "_api_swr", fake_swr)
-
-    @swr_cached(fresh_for=timedelta(minutes=5), max_age=timedelta(hours=1))
-    async def fetch_config():
-        return "ok"
-
-    await fetch_config()
-
-    assert forwarded["fresh_for"] == timedelta(minutes=5)
-    assert forwarded["max_age"] == timedelta(hours=1)
-
-
-@pytest.mark.asyncio
-async def test_swr_cached_key_includes_args(monkeypatch):
-    """Arguments are serialized structurally into the auto-derived cache key."""
-    forwarded = {}
-
-    async def fake_swr(key, loader, *, fresh_for, max_age, model):  # noqa: ARG001
-        forwarded["key"] = key
-        return await loader()
-
-    monkeypatch.setattr(cache_module, "_api_swr", fake_swr)
-
-    @swr_cached
-    async def fetch_profile(user_id: str):
-        return {"id": user_id}
-
-    await fetch_profile("abc123")
-    cache_key = orjson.loads(forwarded["key"])
-    assert cache_key["args"] == [{"name": "user_id", "value": "abc123"}]
-
-
-def test_build_cache_key_distinguishes_modules():
-    async def fetch_profile(user_id: str): ...
-
-    sig = inspect.signature(fetch_profile)
-    key_one = cache_module._build_cache_key(
-        "alpha.module", "fetch_profile", sig, ("1",), {}
-    )
-    key_two = cache_module._build_cache_key(
-        "beta.module", "fetch_profile", sig, ("1",), {}
-    )
-
-    assert key_one != key_two
-
-
-def test_build_cache_key_distinguishes_argument_boundaries():
-    async def fetch_profile(left: str, right: str): ...
-
-    sig = inspect.signature(fetch_profile)
-    key_one = cache_module._build_cache_key(
-        "alpha.module",
-        "fetch_profile",
-        sig,
-        ("a:b", "c"),
-        {},
-    )
-    key_two = cache_module._build_cache_key(
-        "alpha.module",
-        "fetch_profile",
-        sig,
-        ("a", "b:c"),
-        {},
-    )
-
-    assert key_one != key_two
-
-
-@pytest.mark.asyncio
-async def test_swr_cached_explicit_key_string(monkeypatch):
-    """Explicit string key overrides auto-derivation."""
-    forwarded = {}
-
-    async def fake_swr(key, loader, *, fresh_for, max_age, model):  # noqa: ARG001
-        forwarded["key"] = key
-        return await loader()
-
-    monkeypatch.setattr(cache_module, "_api_swr", fake_swr)
-
-    @swr_cached(key="my-static-key")
-    async def fetch_stuff():
-        return 42
-
-    await fetch_stuff()
-    assert forwarded["key"] == "my-static-key"
-
-
-@pytest.mark.asyncio
-async def test_swr_cached_explicit_key_callable(monkeypatch):
-    """Explicit callable key receives the function's arguments."""
-    forwarded = {}
-
-    async def fake_swr(key, loader, *, fresh_for, max_age, model):  # noqa: ARG001
-        forwarded["key"] = key
-        return await loader()
-
-    monkeypatch.setattr(cache_module, "_api_swr", fake_swr)
-
-    @swr_cached(key=lambda org, repo: f"repo:{org}/{repo}")
-    async def fetch_repo(org: str, repo: str):
-        return {"full_name": f"{org}/{repo}"}
-
-    await fetch_repo("langchain-ai", "langgraph")
-    assert forwarded["key"] == "repo:langchain-ai/langgraph"
-
-
-@pytest.mark.asyncio
-async def test_swr_cached_method_key_uses_class_identity(monkeypatch):
-    forwarded = []
-
-    async def fake_swr(key, loader, *, fresh_for, max_age, model):  # noqa: ARG001
-        forwarded.append(key)
-        return await loader()
-
-    monkeypatch.setattr(cache_module, "_api_swr", fake_swr)
-
-    class Client:
-        @swr_cached
-        async def fetch_repo(self, repo: str):
-            return {"repo": repo}
-
-    await Client().fetch_repo("langgraph")
-    await Client().fetch_repo("langgraph")
-
-    assert forwarded[0] == forwarded[1]
-    cache_key = orjson.loads(forwarded[0])
-    assert cache_key["args"][0] == {
-        "name": "self",
-        "value": {
-            "class": f"{Client.__module__}.{Client.__qualname__}",
-            "kind": "self",
-        },
-    }
-
-
-@pytest.mark.asyncio
-async def test_swr_cached_rejects_unstable_object_args():
-    class Unstable:
-        pass
-
-    @swr_cached
-    async def fetch_profile(user: Unstable):
-        return {"user_type": type(user).__name__}
-
-    with pytest.raises(
-        TypeError,
-        match="Cannot auto-generate a stable cache key for `user`",
-    ):
-        await fetch_profile(Unstable())
-
-
-@pytest.mark.asyncio
-async def test_swr_cached_preserves_function_metadata(monkeypatch):
-    """functools.wraps preserves __name__ and __doc__."""
-
-    async def fake_swr(_key, loader, **_kw):
-        return await loader()
-
-    monkeypatch.setattr(cache_module, "_api_swr", fake_swr)
-
-    @swr_cached
-    async def my_loader():
-        """My docstring."""
-        return 1
-
-    assert my_loader.__name__ == "my_loader"
-    assert my_loader.__doc__ == "My docstring."
-
-
-@pytest.mark.asyncio
-async def test_swr_cached_infers_pydantic_model(monkeypatch):
-    """Model is auto-detected from return type annotation."""
-    pytest.importorskip("pydantic")
-    from pydantic import BaseModel
-
-    forwarded = {}
-
-    async def fake_swr(key, loader, *, fresh_for, max_age, model):  # noqa: ARG001
-        forwarded["model"] = model
-        return await loader()
-
-    monkeypatch.setattr(cache_module, "_api_swr", fake_swr)
-
-    class Profile(BaseModel):
-        name: str
-
-    @swr_cached
-    async def fetch_profile() -> Profile:
-        return Profile(name="Alice")
-
-    await fetch_profile()
-    assert forwarded["model"] is Profile

libs/sdk-py/uv.lock

@@ -36,116 +36,100 @@ wheels = [
 
 [[package]]
 name = "certifi"
-version = "2026.2.25"
+version = "2026.1.4"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/af/2d/7bf41579a8986e348fa033a31cdd0e4121114f6bce2457e8876010b092dd/certifi-2026.2.25.tar.gz", hash = "sha256:e887ab5cee78ea814d3472169153c2d12cd43b14bd03329a39a9c6e2e80bfba7", size = 155029, upload-time = "2026-02-25T02:54:17.342Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/e0/2d/a891ca51311197f6ad14a7ef42e2399f36cf2f9bd44752b3dc4eab60fdc5/certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120", size = 154268, upload-time = "2026-01-04T02:42:41.825Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/9a/3c/c17fb3ca2d9c3acff52e30b309f538586f9f5b9c9cf454f3845fc9af4881/certifi-2026.2.25-py3-none-any.whl", hash = "sha256:027692e4402ad994f1c42e52a4997a9763c646b73e4096e4d5d6db8af1d6f0fa", size = 153684, upload-time = "2026-02-25T02:54:15.766Z" },
+    { url = "https://files.pythonhosted.org/packages/e6/ad/3cc14f097111b4de0040c83a525973216457bbeeb63739ef1ed275c1c021/certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c", size = 152900, upload-time = "2026-01-04T02:42:40.15Z" },
 ]
 
 [[package]]
 name = "charset-normalizer"
-version = "3.4.6"
+version = "3.4.4"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/7b/60/e3bec1881450851b087e301bedc3daa9377a4d45f1c26aa90b0b235e38aa/charset_normalizer-3.4.6.tar.gz", hash = "sha256:1ae6b62897110aa7c79ea2f5dd38d1abca6db663687c0b1ad9aed6f6bae3d9d6", size = 143363, upload-time = "2026-03-15T18:53:25.478Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/13/69/33ddede1939fdd074bce5434295f38fae7136463422fe4fd3e0e89b98062/charset_normalizer-3.4.4.tar.gz", hash = "sha256:94537985111c35f28720e43603b8e7b43a6ecfb2ce1d3058bbe955b73404e21a", size = 129418, upload-time = "2025-10-14T04:42:32.879Z" }
 wheels = [
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-    { url = "https://files.pythonhosted.org/packages/86/2a/2a7db6b314b966a3bcad8c731c0719c60b931b931de7ae9f34b2839289ee/charset_normalizer-3.4.6-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e25369dc110d58ddf29b949377a93e0716d72a24f62bad72b2b39f155949c1fd", size = 200027, upload-time = "2026-03-15T18:50:01.702Z" },
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@@ -262,7 +246,7 @@ wheels = [
 
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+version = "1.2.11"
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     { name = "uuid-utils" },
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-version = "1.1.3"
+version = "1.0.10"
 source = { editable = "../langgraph" }
 dependencies = [
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     { name = "pytest-mock" },
     { name = "pytest-watch" },
-    { name = "ruff", specifier = "==0.15.6" },
+    { name = "ruff", specifier = "==0.15.5" },
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-    { name = "ty", specifier = "==0.0.23" },
+    { name = "ty", specifier = "==0.0.21" },
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 lint = [
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     { name = "mypy", specifier = "==1.19.1" },
-    { name = "ruff", specifier = "==0.15.6" },
+    { name = "ruff", specifier = "==0.15.5" },
     { name = "starlette" },
-    { name = "ty", specifier = "==0.0.23" },
+    { name = "ty", specifier = "==0.0.21" },
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