release(sdk-py): 0.3.12 (#7224)

Release Note: Impllemnets alpha support for server-side SWR w/ the cache

.github/workflows/_integration_test.yml

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

.github/workflows/_test.yml

@@ -33,7 +33,7 @@ jobs:
           enable-cache: true
           cache-suffix: test-${{ inputs.working-directory }}
       - name: Login to Docker Hub
-        uses: docker/login-action@v3
+        uses: docker/login-action@v4
         if: ${{ !github.event.pull_request.head.repo.fork }}
         with:
           username: ${{ secrets.DOCKERHUB_USERNAME }}

.github/workflows/_test_langgraph.yml

@@ -31,7 +31,7 @@ jobs:
           enable-cache: true
           cache-suffix: "test-langgraph"
       - name: Login to Docker Hub
-        uses: docker/login-action@v3
+        uses: docker/login-action@v4
         if: ${{ !github.event.pull_request.head.repo.fork }}
         with:
           username: ${{ secrets.DOCKERHUB_USERNAME }}

.github/workflows/_test_release.yml

@@ -48,7 +48,7 @@ jobs:
         working-directory: ${{ inputs.working-directory }}
 
       - name: Upload build
-        uses: actions/upload-artifact@v6
+        uses: actions/upload-artifact@v7
         with:
           name: test-dist
           path: ${{ inputs.working-directory }}/dist/
@@ -76,7 +76,7 @@ jobs:
     steps:
       - uses: actions/checkout@v6
 
-      - uses: actions/download-artifact@v7
+      - uses: actions/download-artifact@v8
         with:
           name: test-dist
           path: ${{ inputs.working-directory }}/dist/

.github/workflows/ci.yml

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

.github/workflows/release.yml

@@ -50,7 +50,7 @@ jobs:
         working-directory: ${{ inputs.working-directory }}
 
       - name: Upload build
-        uses: actions/upload-artifact@v6
+        uses: actions/upload-artifact@v7
         with:
           name: dist
           path: ${{ inputs.working-directory }}/dist/
@@ -269,7 +269,7 @@ jobs:
           enable-cache: true
           cache-suffix: "release"
 
-      - uses: actions/download-artifact@v7
+      - uses: actions/download-artifact@v8
         with:
           name: dist
           path: ${{ inputs.working-directory }}/dist/
@@ -310,7 +310,7 @@ jobs:
           enable-cache: true
           cache-suffix: "release"
 
-      - uses: actions/download-artifact@v7
+      - uses: actions/download-artifact@v8
         with:
           name: dist
           path: ${{ inputs.working-directory }}/dist/

.markdownlint.json

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

README.md

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

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

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

libs/checkpoint-conformance/uv.lock

@@ -250,15 +250,15 @@ wheels = [
 
 [[package]]
 name = "langgraph-checkpoint"
-version = "4.0.0"
+version = "4.0.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "langchain-core" },
     { name = "ormsgpack" },
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 [[package]]
@@ -746,27 +746,27 @@ wheels = [
 
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 ]
 
 [[package]]

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

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

libs/checkpoint-postgres/pyproject.toml

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

libs/checkpoint-postgres/tests/test_async_store.py

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

libs/checkpoint-postgres/uv.lock

@@ -134,11 +134,11 @@ wheels = [
 
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 name = "codespell"
-version = "2.4.1"
+version = "2.4.2"
 source = { registry = "https://pypi.org/simple" }
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 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/42/a1/52fa05533e95fe45bcc09bcf8a503874b1c08f221a4e35608017e0938f55/codespell-2.4.2-py3-none-any.whl", hash = "sha256:97e0c1060cf46bd1d5db89a936c98db8c2b804e1fdd4b5c645e82a1ec6b1f886", size = 353715, upload-time = "2026-03-05T18:10:41.398Z" },
 ]
 
 [[package]]
@@ -307,7 +307,7 @@ test = [
 
 [[package]]
 name = "langgraph-checkpoint-postgres"
-version = "3.0.4"
+version = "3.0.5"
 source = { editable = "." }
 dependencies = [
     { name = "langgraph-checkpoint" },
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libs/checkpoint/langgraph/store/base/batch.py

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

libs/checkpoint/uv.lock

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 ]
 
 [[package]]

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

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

libs/cli/examples/graph_prerelease_reqs/pyproject.toml

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

libs/cli/examples/graph_prerelease_reqs_fail/pyproject.toml

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

libs/cli/js-examples/package.json

@@ -21,23 +21,23 @@
     "test:all": "yarn test && yarn test:int && yarn lint:langgraph"
   },
   "dependencies": {
-    "@langchain/core": "^1.1.27",
-    "@langchain/langgraph": "^1.1.5"
+    "@langchain/core": "^1.1.32",
+    "@langchain/langgraph": "^1.2.2"
   },
   "devDependencies": {
-    "@eslint/eslintrc": "^3.3.3",
+    "@eslint/eslintrc": "^3.3.5",
     "@eslint/js": "^10.0.1",
     "@tsconfig/recommended": "^1.0.13",
     "@types/jest": "^30.0.0",
-    "@typescript-eslint/eslint-plugin": "^8.56.0",
-    "@typescript-eslint/parser": "^8.56.0",
+    "@typescript-eslint/eslint-plugin": "^8.57.0",
+    "@typescript-eslint/parser": "^8.57.0",
     "dotenv": "^17.3.1",
-    "eslint": "^10.0.1",
+    "eslint": "^10.0.3",
     "eslint-config-prettier": "^10.1.8",
     "eslint-plugin-import": "^2.32.0",
     "eslint-plugin-no-instanceof": "^1.0.1",
     "eslint-plugin-prettier": "^5.5.5",
-    "jest": "^30.2.0",
+    "jest": "^30.3.0",
     "prettier": "^3.8.1",
     "ts-jest": "^29.4.6",
     "typescript": "^5.9.3"

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

@@ -9,8 +9,8 @@
   },
   "dependencies": {
     "@js-monorepo-example/shared": "*",
-    "@langchain/core": "^1.1.27",
-    "@langchain/langgraph": "^1.1.5"
+    "@langchain/core": "^1.1.32",
+    "@langchain/langgraph": "^1.2.2"
   },
   "devDependencies": {
     "typescript": "^5.9.3"

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

@@ -17,18 +17,18 @@
     "lint": "eslint 'apps/**/*.ts' 'libs/**/*.ts'"
   },
   "devDependencies": {
-    "turbo": "^2.8.10",
+    "turbo": "^2.8.17",
     "typescript": "^5.9.3",
     "@tsconfig/recommended": "^1.0.13",
-    "@eslint/eslintrc": "^3.3.3",
+    "@eslint/eslintrc": "^3.3.5",
     "@eslint/js": "^10.0.1",
-    "eslint": "^10.0.1",
+    "eslint": "^10.0.3",
     "eslint-config-prettier": "^10.1.8",
     "eslint-plugin-import": "^2.27.5",
     "eslint-plugin-no-instanceof": "^1.0.1",
     "eslint-plugin-prettier": "^5.5.5",
-    "@typescript-eslint/eslint-plugin": "^8.56.0",
-    "@typescript-eslint/parser": "^8.56.0",
+    "@typescript-eslint/eslint-plugin": "^8.57.0",
+    "@typescript-eslint/parser": "^8.57.0",
     "prettier": "^3.8.1"
   }
 }

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

@@ -19,14 +19,14 @@
   resolved "https://registry.yarnpkg.com/@eslint-community/regexpp/-/regexpp-4.12.2.tgz#bccdf615bcf7b6e8db830ec0b8d21c9a25de597b"
   integrity sha512-EriSTlt5OC9/7SXkRSCAhfSxxoSUgBm33OH+IkwbdpgoqsSsUg7y3uh+IICI/Qg4BBWr3U2i39RpmycbxMq4ew==
 
-"@eslint/config-array@^0.23.2":
-  version "0.23.2"
-  resolved "https://registry.yarnpkg.com/@eslint/config-array/-/config-array-0.23.2.tgz#db85beeff7facc685a5775caacb1c845669b9470"
-  integrity sha512-YF+fE6LV4v5MGWRGj7G404/OZzGNepVF8fxk7jqmqo3lrza7a0uUcDnROGRBG1WFC1omYUS/Wp1f42i0M+3Q3A==
+"@eslint/config-array@^0.23.3":
+  version "0.23.3"
+  resolved "https://registry.yarnpkg.com/@eslint/config-array/-/config-array-0.23.3.tgz#3f4a93dd546169c09130cbd10f2415b13a20a219"
+  integrity sha512-j+eEWmB6YYLwcNOdlwQ6L2OsptI/LO6lNBuLIqe5R7RetD658HLoF+Mn7LzYmAWWNNzdC6cqP+L6r8ujeYXWLw==
   dependencies:
-    "@eslint/object-schema" "^3.0.2"
+    "@eslint/object-schema" "^3.0.3"
     debug "^4.3.1"
-    minimatch "^10.2.1"
+    minimatch "^10.2.4"
 
 "@eslint/config-helpers@^0.5.2":
   version "0.5.2"
@@ -35,26 +35,26 @@
   dependencies:
     "@eslint/core" "^1.1.0"
 
-"@eslint/core@^1.1.0":
-  version "1.1.0"
-  resolved "https://registry.yarnpkg.com/@eslint/core/-/core-1.1.0.tgz#51f5cd970e216fbdae6721ac84491f57f965836d"
-  integrity sha512-/nr9K9wkr3P1EzFTdFdMoLuo1PmIxjmwvPozwoSodjNBdefGujXQUF93u1DDZpEaTuDvMsIQddsd35BwtrW9Xw==
+"@eslint/core@^1.1.0", "@eslint/core@^1.1.1":
+  version "1.1.1"
+  resolved "https://registry.yarnpkg.com/@eslint/core/-/core-1.1.1.tgz#450f3d2be2d463ccd51119544092256b4e88df32"
+  integrity sha512-QUPblTtE51/7/Zhfv8BDwO0qkkzQL7P/aWWbqcf4xWLEYn1oKjdO0gglQBB4GAsu7u6wjijbCmzsUTy6mnk6oQ==
   dependencies:
     "@types/json-schema" "^7.0.15"
 
-"@eslint/eslintrc@^3.3.3":
-  version "3.3.3"
-  resolved "https://registry.yarnpkg.com/@eslint/eslintrc/-/eslintrc-3.3.3.tgz#26393a0806501b5e2b6a43aa588a4d8df67880ac"
-  integrity sha512-Kr+LPIUVKz2qkx1HAMH8q1q6azbqBAsXJUxBl/ODDuVPX45Z9DfwB8tPjTi6nNZ8BuM3nbJxC5zCAg5elnBUTQ==
+"@eslint/eslintrc@^3.3.5":
+  version "3.3.5"
+  resolved "https://registry.yarnpkg.com/@eslint/eslintrc/-/eslintrc-3.3.5.tgz#c131793cfc1a7b96f24a83e0a8bbd4b881558c60"
+  integrity sha512-4IlJx0X0qftVsN5E+/vGujTRIFtwuLbNsVUe7TO6zYPDR1O6nFwvwhIKEKSrl6dZchmYBITazxKoUYOjdtjlRg==
   dependencies:
-    ajv "^6.12.4"
+    ajv "^6.14.0"
     debug "^4.3.2"
     espree "^10.0.1"
     globals "^14.0.0"
     ignore "^5.2.0"
     import-fresh "^3.2.1"
     js-yaml "^4.1.1"
-    minimatch "^3.1.2"
+    minimatch "^3.1.5"
     strip-json-comments "^3.1.1"
 
 "@eslint/js@^10.0.1":
@@ -62,17 +62,17 @@
   resolved "https://registry.yarnpkg.com/@eslint/js/-/js-10.0.1.tgz#1e8a876f50117af8ab67e47d5ad94d38d6622583"
   integrity sha512-zeR9k5pd4gxjZ0abRoIaxdc7I3nDktoXZk2qOv9gCNWx3mVwEn32VRhyLaRsDiJjTs0xq/T8mfPtyuXu7GWBcA==
 
-"@eslint/object-schema@^3.0.2":
-  version "3.0.2"
-  resolved "https://registry.yarnpkg.com/@eslint/object-schema/-/object-schema-3.0.2.tgz#c59c6a94aa4b428ed7f1615b6a4495c0a21f7a22"
-  integrity sha512-HOy56KJt48Bx8KmJ+XGQNSUMT/6dZee/M54XyUyuvTvPXJmsERRvBchsUVx1UMe1WwIH49XLAczNC7V2INsuUw==
+"@eslint/object-schema@^3.0.3":
+  version "3.0.3"
+  resolved "https://registry.yarnpkg.com/@eslint/object-schema/-/object-schema-3.0.3.tgz#5bf671e52e382e4adc47a9906f2699374637db6b"
+  integrity sha512-iM869Pugn9Nsxbh/YHRqYiqd23AmIbxJOcpUMOuWCVNdoQJ5ZtwL6h3t0bcZzJUlC3Dq9jCFCESBZnX0GTv7iQ==
 
-"@eslint/plugin-kit@^0.6.0":
-  version "0.6.0"
-  resolved "https://registry.yarnpkg.com/@eslint/plugin-kit/-/plugin-kit-0.6.0.tgz#e0cb12ec66719cb2211ad36499fb516f2a63899d"
-  integrity sha512-bIZEUzOI1jkhviX2cp5vNyXQc6olzb2ohewQubuYlMXZ2Q/XjBO0x0XhGPvc9fjSIiUN0vw+0hq53BJ4eQSJKQ==
+"@eslint/plugin-kit@^0.6.1":
+  version "0.6.1"
+  resolved "https://registry.yarnpkg.com/@eslint/plugin-kit/-/plugin-kit-0.6.1.tgz#eb9e6689b56ce8bc1855bb33090e63f3fc115e8e"
+  integrity sha512-iH1B076HoAshH1mLpHMgwdGeTs0CYwL0SPMkGuSebZrwBp16v415e9NZXg2jtrqPVQjf6IANe2Vtlr5KswtcZQ==
   dependencies:
-    "@eslint/core" "^1.1.0"
+    "@eslint/core" "^1.1.1"
     levn "^0.4.1"
 
 "@humanfs/core@^0.19.1":
@@ -103,12 +103,13 @@
   resolved "https://registry.yarnpkg.com/@isaacs/cliui/-/cliui-9.0.0.tgz#4d0a3f127058043bf2e7ee169eaf30ed901302f3"
   integrity sha512-AokJm4tuBHillT+FpMtxQ60n8ObyXBatq7jD2/JA9dxbDDokKQm8KMht5ibGzLVU9IJDIKK4TPKgMHEYMn3lMg==
 
-"@langchain/core@^1.1.27":
-  version "1.1.27"
-  resolved "https://registry.yarnpkg.com/@langchain/core/-/core-1.1.27.tgz#b5a05c014eef2973006fd9e0df1e135b9da640e2"
-  integrity sha512-YVtEz3nqCh8WxtdVXUICmt2BR2An+mn4YRJUBwcHX47Yrh2VwxpO0l97B2N/sNi658m65HnGyz2/hAjF3fzc1w==
+"@langchain/core@^1.1.32":
+  version "1.1.32"
+  resolved "https://registry.yarnpkg.com/@langchain/core/-/core-1.1.32.tgz#a9baf37e5cb40e8b877160d5d03ef3bf6e8e250d"
+  integrity sha512-ZZNiER5tceFXqZOghfrxNHzM60gcQL5XK/8Ow5+o4OuKHrP1p/RUQBDM9Y1nddi/VmKQj+ncaXXM5KovXTEGGQ==
   dependencies:
     "@cfworker/json-schema" "^4.0.2"
+    "@standard-schema/spec" "^1.1.0"
     ansi-styles "^5.0.0"
     camelcase "6"
     decamelize "1.2.0"
@@ -116,7 +117,7 @@
     langsmith ">=0.5.0 <1.0.0"
     mustache "^4.2.0"
     p-queue "^6.6.2"
-    uuid "^10.0.0"
+    uuid "^11.1.0"
     zod "^3.25.76 || ^4"
 
 "@langchain/langgraph-checkpoint@^1.0.0":
@@ -126,23 +127,23 @@
   dependencies:
     uuid "^10.0.0"
 
-"@langchain/langgraph-sdk@~2.0.0":
-  version "2.0.0"
-  resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-2.0.0.tgz#55ac46373aa4917443d92c8b2edd5efd162bc879"
-  integrity sha512-Xdkl1hve84ZGQ7fgpiBIBvjODhtjbPPccY4snOtYgSdzRXZkESsi2Y7RDKgFe1nC9+DbX+QaYom0raD/XFBKAw==
+"@langchain/langgraph-sdk@~1.7.0":
+  version "1.7.2"
+  resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-1.7.2.tgz#8273ef749082d6e1c7c7e281d75287b2b4deedfa"
+  integrity sha512-8ad5OTwqc15J/DxLNJYLn3IC2mpfow09nxJdszxhwm3KgsolGZIUV6g7m67C2p4j3cbQZD5USHt3hKEL0ahqoA==
   dependencies:
     "@types/json-schema" "^7.0.15"
     p-queue "^9.0.1"
     p-retry "^7.1.1"
     uuid "^13.0.0"
 
-"@langchain/langgraph@^1.1.5":
-  version "1.1.5"
-  resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-1.1.5.tgz#7cab6c585b5e60ac52e70ef941ba6054f45b0d88"
-  integrity sha512-uJC/asydf/GoHpo9x42lf9hs8ufCkMuJ9sDle5ybP7sMD0XryOfE0E4J3deARk9ZadCCt6zeCoCNu/mTbx8+Sg==
+"@langchain/langgraph@^1.2.2":
+  version "1.2.2"
+  resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-1.2.2.tgz#747cc0ddb6fe350906c7f982289499f072345701"
+  integrity sha512-1F94azb3b3TpHi5Jxa7gFvAYXuSIsEobEXk3/PD7+gkOobIC5Jty3+/ATSkH7joUo0bXCF/rgMOjRGusi6YvSQ==
   dependencies:
     "@langchain/langgraph-checkpoint" "^1.0.0"
-    "@langchain/langgraph-sdk" "~2.0.0"
+    "@langchain/langgraph-sdk" "~1.7.0"
     "@standard-schema/spec" "1.1.0"
     uuid "^10.0.0"
 
@@ -156,7 +157,7 @@
   resolved "https://registry.yarnpkg.com/@rtsao/scc/-/scc-1.1.0.tgz#927dd2fae9bc3361403ac2c7a00c32ddce9ad7e8"
   integrity sha512-zt6OdqaDoOnJ1ZYsCYGt9YmWzDXl4vQdKTyJev62gFhRGKdx7mcT54V9KIjg+d2wi9EXsPvAPKe7i7WjfVWB8g==
 
-"@standard-schema/spec@1.1.0":
+"@standard-schema/spec@1.1.0", "@standard-schema/spec@^1.1.0":
   version "1.1.0"
   resolved "https://registry.yarnpkg.com/@standard-schema/spec/-/spec-1.1.0.tgz#a79b55dbaf8604812f52d140b2c9ab41bc150bb8"
   integrity sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w==
@@ -191,100 +192,100 @@
   resolved "https://registry.yarnpkg.com/@types/uuid/-/uuid-10.0.0.tgz#e9c07fe50da0f53dc24970cca94d619ff03f6f6d"
   integrity sha512-7gqG38EyHgyP1S+7+xomFtL+ZNHcKv6DwNaCZmJmo1vgMugyF3TCnXVg4t1uk89mLNwnLtnY3TpOpCOyp1/xHQ==
 
-"@typescript-eslint/eslint-plugin@^8.56.0":
-  version "8.56.0"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.56.0.tgz#5aec3db807a6b8437ea5d5ebf7bd16b4119aba8d"
-  integrity sha512-lRyPDLzNCuae71A3t9NEINBiTn7swyOhvUj3MyUOxb8x6g6vPEFoOU+ZRmGMusNC3X3YMhqMIX7i8ShqhT74Pw==
+"@typescript-eslint/eslint-plugin@^8.57.0":
+  version "8.57.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.57.0.tgz#6e4085604ab63f55b3dcc61ce2c16965b2c36374"
+  integrity sha512-qeu4rTHR3/IaFORbD16gmjq9+rEs9fGKdX0kF6BKSfi+gCuG3RCKLlSBYzn/bGsY9Tj7KE/DAQStbp8AHJGHEQ==
   dependencies:
     "@eslint-community/regexpp" "^4.12.2"
-    "@typescript-eslint/scope-manager" "8.56.0"
-    "@typescript-eslint/type-utils" "8.56.0"
-    "@typescript-eslint/utils" "8.56.0"
-    "@typescript-eslint/visitor-keys" "8.56.0"
+    "@typescript-eslint/scope-manager" "8.57.0"
+    "@typescript-eslint/type-utils" "8.57.0"
+    "@typescript-eslint/utils" "8.57.0"
+    "@typescript-eslint/visitor-keys" "8.57.0"
     ignore "^7.0.5"
     natural-compare "^1.4.0"
     ts-api-utils "^2.4.0"
 
-"@typescript-eslint/parser@^8.56.0":
-  version "8.56.0"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/parser/-/parser-8.56.0.tgz#8ecff1678b8b1a742d29c446ccf5eeea7f971d72"
-  integrity sha512-IgSWvLobTDOjnaxAfDTIHaECbkNlAlKv2j5SjpB2v7QHKv1FIfjwMy8FsDbVfDX/KjmCmYICcw7uGaXLhtsLNg==
+"@typescript-eslint/parser@^8.57.0":
+  version "8.57.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/parser/-/parser-8.57.0.tgz#444c57a943e8b04f255cda18a94c8e023b46b08c"
+  integrity sha512-XZzOmihLIr8AD1b9hL9ccNMzEMWt/dE2u7NyTY9jJG6YNiNthaD5XtUHVF2uCXZ15ng+z2hT3MVuxnUYhq6k1g==
   dependencies:
-    "@typescript-eslint/scope-manager" "8.56.0"
-    "@typescript-eslint/types" "8.56.0"
-    "@typescript-eslint/typescript-estree" "8.56.0"
-    "@typescript-eslint/visitor-keys" "8.56.0"
+    "@typescript-eslint/scope-manager" "8.57.0"
+    "@typescript-eslint/types" "8.57.0"
+    "@typescript-eslint/typescript-estree" "8.57.0"
+    "@typescript-eslint/visitor-keys" "8.57.0"
     debug "^4.4.3"
 
-"@typescript-eslint/project-service@8.56.0":
-  version "8.56.0"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/project-service/-/project-service-8.56.0.tgz#bb8562fecd8f7922e676fc6a1189c20dd7991d73"
-  integrity sha512-M3rnyL1vIQOMeWxTWIW096/TtVP+8W3p/XnaFflhmcFp+U4zlxUxWj4XwNs6HbDeTtN4yun0GNTTDBw/SvufKg==
+"@typescript-eslint/project-service@8.57.0":
+  version "8.57.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/project-service/-/project-service-8.57.0.tgz#2014ed527bcd0eff8aecb7e44879ae3150604ab3"
+  integrity sha512-pR+dK0BlxCLxtWfaKQWtYr7MhKmzqZxuii+ZjuFlZlIGRZm22HnXFqa2eY+90MUz8/i80YJmzFGDUsi8dMOV5w==
   dependencies:
-    "@typescript-eslint/tsconfig-utils" "^8.56.0"
-    "@typescript-eslint/types" "^8.56.0"
+    "@typescript-eslint/tsconfig-utils" "^8.57.0"
+    "@typescript-eslint/types" "^8.57.0"
     debug "^4.4.3"
 
-"@typescript-eslint/scope-manager@8.56.0":
-  version "8.56.0"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/scope-manager/-/scope-manager-8.56.0.tgz#604030a4c6433df3728effdd441d47f45a86edb4"
-  integrity sha512-7UiO/XwMHquH+ZzfVCfUNkIXlp/yQjjnlYUyYz7pfvlK3/EyyN6BK+emDmGNyQLBtLGaYrTAI6KOw8tFucWL2w==
+"@typescript-eslint/scope-manager@8.57.0":
+  version "8.57.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/scope-manager/-/scope-manager-8.57.0.tgz#7d2a2aeaaef2ae70891b21939fadb4cb0b19f840"
+  integrity sha512-nvExQqAHF01lUM66MskSaZulpPL5pgy5hI5RfrxviLgzZVffB5yYzw27uK/ft8QnKXI2X0LBrHJFr1TaZtAibw==
   dependencies:
-    "@typescript-eslint/types" "8.56.0"
-    "@typescript-eslint/visitor-keys" "8.56.0"
+    "@typescript-eslint/types" "8.57.0"
+    "@typescript-eslint/visitor-keys" "8.57.0"
 
-"@typescript-eslint/tsconfig-utils@8.56.0", "@typescript-eslint/tsconfig-utils@^8.56.0":
-  version "8.56.0"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/tsconfig-utils/-/tsconfig-utils-8.56.0.tgz#2538ce83cbc376e685487960cbb24b65fe2abc4e"
-  integrity sha512-bSJoIIt4o3lKXD3xmDh9chZcjCz5Lk8xS7Rxn+6l5/pKrDpkCwtQNQQwZ2qRPk7TkUYhrq3WPIHXOXlbXP0itg==
+"@typescript-eslint/tsconfig-utils@8.57.0", "@typescript-eslint/tsconfig-utils@^8.57.0":
+  version "8.57.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/tsconfig-utils/-/tsconfig-utils-8.57.0.tgz#cf2f2822af3887d25dd325b6bea6c3f60a83a0b4"
+  integrity sha512-LtXRihc5ytjJIQEH+xqjB0+YgsV4/tW35XKX3GTZHpWtcC8SPkT/d4tqdf1cKtesryHm2bgp6l555NYcT2NLvA==
 
-"@typescript-eslint/type-utils@8.56.0":
-  version "8.56.0"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/type-utils/-/type-utils-8.56.0.tgz#72b4edc1fc73988998f1632b3ec99c2a66eaac6e"
-  integrity sha512-qX2L3HWOU2nuDs6GzglBeuFXviDODreS58tLY/BALPC7iu3Fa+J7EOTwnX9PdNBxUI7Uh0ntP0YWGnxCkXzmfA==
+"@typescript-eslint/type-utils@8.57.0":
+  version "8.57.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/type-utils/-/type-utils-8.57.0.tgz#2877af4c2e8f0998b93a07dad1c34ce1bb669448"
+  integrity sha512-yjgh7gmDcJ1+TcEg8x3uWQmn8ifvSupnPfjP21twPKrDP/pTHlEQgmKcitzF/rzPSmv7QjJ90vRpN4U+zoUjwQ==
   dependencies:
-    "@typescript-eslint/types" "8.56.0"
-    "@typescript-eslint/typescript-estree" "8.56.0"
-    "@typescript-eslint/utils" "8.56.0"
+    "@typescript-eslint/types" "8.57.0"
+    "@typescript-eslint/typescript-estree" "8.57.0"
+    "@typescript-eslint/utils" "8.57.0"
     debug "^4.4.3"
     ts-api-utils "^2.4.0"
 
-"@typescript-eslint/types@8.56.0", "@typescript-eslint/types@^8.56.0":
-  version "8.56.0"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/types/-/types-8.56.0.tgz#a2444011b9a98ca13d70411d2cbfed5443b3526a"
-  integrity sha512-DBsLPs3GsWhX5HylbP9HNG15U0bnwut55Lx12bHB9MpXxQ+R5GC8MwQe+N1UFXxAeQDvEsEDY6ZYwX03K7Z6HQ==
+"@typescript-eslint/types@8.57.0", "@typescript-eslint/types@^8.57.0":
+  version "8.57.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/types/-/types-8.57.0.tgz#4fa5385ffd1cd161fa5b9dce93e0493d491b8dc6"
+  integrity sha512-dTLI8PEXhjUC7B9Kre+u0XznO696BhXcTlOn0/6kf1fHaQW8+VjJAVHJ3eTI14ZapTxdkOmc80HblPQLaEeJdg==
 
-"@typescript-eslint/typescript-estree@8.56.0":
-  version "8.56.0"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-8.56.0.tgz#fadbc74c14c5bac947db04980ff58bb178701c2e"
-  integrity sha512-ex1nTUMWrseMltXUHmR2GAQ4d+WjkZCT4f+4bVsps8QEdh0vlBsaCokKTPlnqBFqqGaxilDNJG7b8dolW2m43Q==
+"@typescript-eslint/typescript-estree@8.57.0":
+  version "8.57.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-8.57.0.tgz#e0e4a89bfebb207de314826df876e2dabc7dea04"
+  integrity sha512-m7faHcyVg0BT3VdYTlX8GdJEM7COexXxS6KqGopxdtkQRvBanK377QDHr4W/vIPAR+ah9+B/RclSW5ldVniO1Q==
   dependencies:
-    "@typescript-eslint/project-service" "8.56.0"
-    "@typescript-eslint/tsconfig-utils" "8.56.0"
-    "@typescript-eslint/types" "8.56.0"
-    "@typescript-eslint/visitor-keys" "8.56.0"
+    "@typescript-eslint/project-service" "8.57.0"
+    "@typescript-eslint/tsconfig-utils" "8.57.0"
+    "@typescript-eslint/types" "8.57.0"
+    "@typescript-eslint/visitor-keys" "8.57.0"
     debug "^4.4.3"
-    minimatch "^9.0.5"
+    minimatch "^10.2.2"
     semver "^7.7.3"
     tinyglobby "^0.2.15"
     ts-api-utils "^2.4.0"
 
-"@typescript-eslint/utils@8.56.0":
-  version "8.56.0"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-8.56.0.tgz#063ce6f702ec603de1b83ee795ed5e877d6f7841"
-  integrity sha512-RZ3Qsmi2nFGsS+n+kjLAYDPVlrzf7UhTffrDIKr+h2yzAlYP/y5ZulU0yeDEPItos2Ph46JAL5P/On3pe7kDIQ==
+"@typescript-eslint/utils@8.57.0":
+  version "8.57.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-8.57.0.tgz#c7193385b44529b788210d20c94c11de79ad3498"
+  integrity sha512-5iIHvpD3CZe06riAsbNxxreP+MuYgVUsV0n4bwLH//VJmgtt54sQeY2GszntJ4BjYCpMzrfVh2SBnUQTtys2lQ==
   dependencies:
     "@eslint-community/eslint-utils" "^4.9.1"
-    "@typescript-eslint/scope-manager" "8.56.0"
-    "@typescript-eslint/types" "8.56.0"
-    "@typescript-eslint/typescript-estree" "8.56.0"
+    "@typescript-eslint/scope-manager" "8.57.0"
+    "@typescript-eslint/types" "8.57.0"
+    "@typescript-eslint/typescript-estree" "8.57.0"
 
-"@typescript-eslint/visitor-keys@8.56.0":
-  version "8.56.0"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-8.56.0.tgz#7d6592ab001827d3ce052155edf7ecad19688d7d"
-  integrity sha512-q+SL+b+05Ud6LbEE35qe4A99P+htKTKVbyiNEe45eCbJFyh/HVK9QXwlrbz+Q4L8SOW4roxSVwXYj4DMBT7Ieg==
+"@typescript-eslint/visitor-keys@8.57.0":
+  version "8.57.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-8.57.0.tgz#23aea662279bb66209700854453807a119350f85"
+  integrity sha512-zm6xx8UT/Xy2oSr2ZXD0pZo7Jx2XsCoID2IUh9YSTFRu7z+WdwYTRk6LhUftm1crwqbuoF6I8zAFeCMw0YjwDg==
   dependencies:
-    "@typescript-eslint/types" "8.56.0"
+    "@typescript-eslint/types" "8.57.0"
     eslint-visitor-keys "^5.0.0"
 
 acorn-jsx@^5.3.2:
@@ -302,10 +303,10 @@ acorn@^8.16.0:
   resolved "https://registry.yarnpkg.com/acorn/-/acorn-8.16.0.tgz#4ce79c89be40afe7afe8f3adb902a1f1ce9ac08a"
   integrity sha512-UVJyE9MttOsBQIDKw1skb9nAwQuR5wuGD3+82K6JgJlm/Y+KI92oNsMNGZCYdDsVtRHSak0pcV5Dno5+4jh9sw==
 
-ajv@^6.12.4:
-  version "6.12.6"
-  resolved "https://registry.yarnpkg.com/ajv/-/ajv-6.12.6.tgz#baf5a62e802b07d977034586f8c3baf5adf26df4"
-  integrity sha512-j3fVLgvTo527anyYyJOGTYJbG+vnnQYvE0m5mmkc1TK+nxAppkCLMIL0aZ4dblVCNoGShhm+kzE4ZUykBoMg4g==
+ajv@^6.14.0:
+  version "6.14.0"
+  resolved "https://registry.yarnpkg.com/ajv/-/ajv-6.14.0.tgz#fd067713e228210636ebb08c60bd3765d6dbe73a"
+  integrity sha512-IWrosm/yrn43eiKqkfkHis7QioDleaXQHdDVPKg0FSwwd/DuvyX79TZnFOnYpB7dcsFAMmtFztZuXPDvSePkFw==
   dependencies:
     fast-deep-equal "^3.1.1"
     fast-json-stable-stringify "^2.0.0"
@@ -434,13 +435,6 @@ brace-expansion@^1.1.7:
     balanced-match "^1.0.0"
     concat-map "0.0.1"
 
-brace-expansion@^2.0.2:
-  version "2.0.2"
-  resolved "https://registry.yarnpkg.com/brace-expansion/-/brace-expansion-2.0.2.tgz#54fc53237a613d854c7bd37463aad17df87214e7"
-  integrity sha512-Jt0vHyM+jmUBqojB7E1NIYadt0vI0Qxjxd2TErW94wDz+E2LAm5vKMXXwg6ZZBTHPuUlDgQHKXvjGBdfcF1ZDQ==
-  dependencies:
-    balanced-match "^1.0.0"
-
 brace-expansion@^5.0.2:
   version "5.0.2"
   resolved "https://registry.yarnpkg.com/brace-expansion/-/brace-expansion-5.0.2.tgz#b6c16d0791087af6c2bc463f52a8142046c06b6f"
@@ -777,10 +771,10 @@ eslint-plugin-prettier@^5.5.5:
     prettier-linter-helpers "^1.0.1"
     synckit "^0.11.12"
 
-eslint-scope@^9.1.1:
-  version "9.1.1"
-  resolved "https://registry.yarnpkg.com/eslint-scope/-/eslint-scope-9.1.1.tgz#f6a209486e38bd28356b5feb07d445cc99c89967"
-  integrity sha512-GaUN0sWim5qc8KVErfPBWmc31LEsOkrUJbvJZV+xuL3u2phMUK4HIvXlWAakfC8W4nzlK+chPEAkYOYb5ZScIw==
+eslint-scope@^9.1.2:
+  version "9.1.2"
+  resolved "https://registry.yarnpkg.com/eslint-scope/-/eslint-scope-9.1.2.tgz#b9de6ace2fab1cff24d2e58d85b74c8fcea39802"
+  integrity sha512-xS90H51cKw0jltxmvmHy2Iai1LIqrfbw57b79w/J7MfvDfkIkFZ+kj6zC3BjtUwh150HsSSdxXZcsuv72miDFQ==
   dependencies:
     "@types/esrecurse" "^4.3.1"
     "@types/estree" "^1.0.8"
@@ -802,26 +796,26 @@ eslint-visitor-keys@^5.0.0, eslint-visitor-keys@^5.0.1:
   resolved "https://registry.yarnpkg.com/eslint-visitor-keys/-/eslint-visitor-keys-5.0.1.tgz#9e3c9489697824d2d4ce3a8ad12628f91e9f59be"
   integrity sha512-tD40eHxA35h0PEIZNeIjkHoDR4YjjJp34biM0mDvplBe//mB+IHCqHDGV7pxF+7MklTvighcCPPZC7ynWyjdTA==
 
-eslint@^10.0.1:
-  version "10.0.1"
-  resolved "https://registry.yarnpkg.com/eslint/-/eslint-10.0.1.tgz#b5c5f7706782a21590ba6451e7a30d2947273c2d"
-  integrity sha512-20MV9SUdeN6Jd84xESsKhRly+/vxI+hwvpBMA93s+9dAcjdCuCojn4IqUGS3lvVaqjVYGYHSRMCpeFtF2rQYxQ==
+eslint@^10.0.3:
+  version "10.0.3"
+  resolved "https://registry.yarnpkg.com/eslint/-/eslint-10.0.3.tgz#360a7de7f2706eb8a32caa17ca983f0089efe694"
+  integrity sha512-COV33RzXZkqhG9P2rZCFl9ZmJ7WL+gQSCRzE7RhkbclbQPtLAWReL7ysA0Sh4c8Im2U9ynybdR56PV0XcKvqaQ==
   dependencies:
     "@eslint-community/eslint-utils" "^4.8.0"
     "@eslint-community/regexpp" "^4.12.2"
-    "@eslint/config-array" "^0.23.2"
+    "@eslint/config-array" "^0.23.3"
     "@eslint/config-helpers" "^0.5.2"
-    "@eslint/core" "^1.1.0"
-    "@eslint/plugin-kit" "^0.6.0"
+    "@eslint/core" "^1.1.1"
+    "@eslint/plugin-kit" "^0.6.1"
     "@humanfs/node" "^0.16.6"
     "@humanwhocodes/module-importer" "^1.0.1"
     "@humanwhocodes/retry" "^0.4.2"
     "@types/estree" "^1.0.6"
-    ajv "^6.12.4"
+    ajv "^6.14.0"
     cross-spawn "^7.0.6"
     debug "^4.3.2"
     escape-string-regexp "^4.0.0"
-    eslint-scope "^9.1.1"
+    eslint-scope "^9.1.2"
     eslint-visitor-keys "^5.0.1"
     espree "^11.1.1"
     esquery "^1.7.0"
@@ -834,7 +828,7 @@ eslint@^10.0.1:
     imurmurhash "^0.1.4"
     is-glob "^4.0.0"
     json-stable-stringify-without-jsonify "^1.0.1"
-    minimatch "^10.2.1"
+    minimatch "^10.2.4"
     natural-compare "^1.4.0"
     optionator "^0.9.3"
 
@@ -1379,27 +1373,20 @@ math-intrinsics@^1.1.0:
   resolved "https://registry.yarnpkg.com/math-intrinsics/-/math-intrinsics-1.1.0.tgz#a0dd74be81e2aa5c2f27e65ce283605ee4e2b7f9"
   integrity sha512-/IXtbwEk5HTPyEwyKX6hGkYXxM9nbj64B+ilVJnC/R6B0pH5G4V3b0pVbL7DBj4tkhBAppbQUlf6F6Xl9LHu1g==
 
-minimatch@^10.2.1:
+minimatch@^10.2.2, minimatch@^10.2.4:
   version "10.2.4"
   resolved "https://registry.yarnpkg.com/minimatch/-/minimatch-10.2.4.tgz#465b3accbd0218b8281f5301e27cedc697f96fde"
   integrity sha512-oRjTw/97aTBN0RHbYCdtF1MQfvusSIBQM0IZEgzl6426+8jSC0nF1a/GmnVLpfB9yyr6g6FTqWqiZVbxrtaCIg==
   dependencies:
     brace-expansion "^5.0.2"
 
-minimatch@^3.1.2:
+minimatch@^3.1.2, minimatch@^3.1.5:
   version "3.1.5"
   resolved "https://registry.yarnpkg.com/minimatch/-/minimatch-3.1.5.tgz#580c88f8d5445f2bd6aa8f3cadefa0de79fbd69e"
   integrity sha512-VgjWUsnnT6n+NUk6eZq77zeFdpW2LWDzP6zFGrCbHXiYNul5Dzqk2HHQ5uFH2DNW5Xbp8+jVzaeNt94ssEEl4w==
   dependencies:
     brace-expansion "^1.1.7"
 
-minimatch@^9.0.5:
-  version "9.0.9"
-  resolved "https://registry.yarnpkg.com/minimatch/-/minimatch-9.0.9.tgz#9b0cb9fcb78087f6fd7eababe2511c4d3d60574e"
-  integrity sha512-OBwBN9AL4dqmETlpS2zasx+vTeWclWzkblfZk7KTA5j3jeOONz/tRCnZomUyvNg83wL5Zv9Ss6HMJXAgL8R2Yg==
-  dependencies:
-    brace-expansion "^2.0.2"
-
 minimist@^1.2.0, minimist@^1.2.6:
   version "1.2.8"
   resolved "https://registry.yarnpkg.com/minimist/-/minimist-1.2.8.tgz#c1a464e7693302e082a075cee0c057741ac4772c"
@@ -1863,47 +1850,47 @@ tsconfig-paths@^3.15.0:
     minimist "^1.2.6"
     strip-bom "^3.0.0"
 
-turbo-darwin-64@2.8.10:
-  version "2.8.10"
-  resolved "https://registry.yarnpkg.com/turbo-darwin-64/-/turbo-darwin-64-2.8.10.tgz#38ba73b9bbb3459cd27c6d3b5777bae80daa7e9f"
-  integrity sha512-A03fXh+B7S8mL3PbdhTd+0UsaGrhfyPkODvzBDpKRY7bbeac4MDFpJ7I+Slf2oSkCEeSvHKR7Z4U71uKRUfX7g==
+turbo-darwin-64@2.8.17:
+  version "2.8.17"
+  resolved "https://registry.yarnpkg.com/turbo-darwin-64/-/turbo-darwin-64-2.8.17.tgz#265fe92ca6c923fae0c688b2dbcce5602e121221"
+  integrity sha512-ZFkv2hv7zHpAPEXBF6ouRRXshllOavYc+jjcrYyVHvxVTTwJWsBZwJ/gpPzmOKGvkSjsEyDO5V6aqqtZzwVF+Q==
 
-turbo-darwin-arm64@2.8.10:
-  version "2.8.10"
-  resolved "https://registry.yarnpkg.com/turbo-darwin-arm64/-/turbo-darwin-arm64-2.8.10.tgz#1c7a278a6361aef0a4e94849bf7181ff3c91d782"
-  integrity sha512-sidzowgWL3s5xCHLeqwC9M3s9M0i16W1nuQF3Mc7fPHpZ+YPohvcbVFBB2uoRRHYZg6yBnwD4gyUHKTeXfwtXA==
+turbo-darwin-arm64@2.8.17:
+  version "2.8.17"
+  resolved "https://registry.yarnpkg.com/turbo-darwin-arm64/-/turbo-darwin-arm64-2.8.17.tgz#0a0fd172a0ea28cc10e494ccf56f8e44301cdd2d"
+  integrity sha512-5DXqhQUt24ycEryXDfMNKEkW5TBHs+QmU23a2qxXwwFDaJsWcPo2obEhBxxdEPOv7qmotjad+09RGeWCcJ9JDw==
 
-turbo-linux-64@2.8.10:
-  version "2.8.10"
-  resolved "https://registry.yarnpkg.com/turbo-linux-64/-/turbo-linux-64-2.8.10.tgz#aaa6ede45619daab2be359ec6afc3b0a73941272"
-  integrity sha512-YK9vcpL3TVtqonB021XwgaQhY9hJJbKKUhLv16osxV0HkcQASQWUqR56yMge7puh6nxU67rQlTq1b7ksR1T3KA==
+turbo-linux-64@2.8.17:
+  version "2.8.17"
+  resolved "https://registry.yarnpkg.com/turbo-linux-64/-/turbo-linux-64-2.8.17.tgz#d4361e48bb0b3c849200723157ecfa085fe465dd"
+  integrity sha512-KLUbz6w7F73D/Ihh51hVagrKR0/CTsPEbRkvXLXvoND014XJ4BCrQUqSxlQ4/hu+nqp1v5WlM85/h3ldeyujuA==
 
-turbo-linux-arm64@2.8.10:
-  version "2.8.10"
-  resolved "https://registry.yarnpkg.com/turbo-linux-arm64/-/turbo-linux-arm64-2.8.10.tgz#a9a52e4eca69968d85f09adb24ba3aec24a50023"
-  integrity sha512-3+j2tL0sG95iBJTm+6J8/45JsETQABPqtFyYjVjBbi6eVGdtNTiBmHNKrbvXRlQ3ZbUG75bKLaSSDHSEEN+btQ==
+turbo-linux-arm64@2.8.17:
+  version "2.8.17"
+  resolved "https://registry.yarnpkg.com/turbo-linux-arm64/-/turbo-linux-arm64-2.8.17.tgz#3fc2d0c93786874651b679ea7a269e3449b2463c"
+  integrity sha512-pJK67XcNJH40lTAjFu7s/rUlobgVXyB3A3lDoq+/JccB3hf+SysmkpR4Itlc93s8LEaFAI4mamhFuTV17Z6wOg==
 
-turbo-windows-64@2.8.10:
-  version "2.8.10"
-  resolved "https://registry.yarnpkg.com/turbo-windows-64/-/turbo-windows-64-2.8.10.tgz#b0f64a29451477c1ecdc7dbe0555b8e75c464044"
-  integrity sha512-hdeF5qmVY/NFgiucf8FW0CWJWtyT2QPm5mIsX0W1DXAVzqKVXGq+Zf+dg4EUngAFKjDzoBeN6ec2Fhajwfztkw==
+turbo-windows-64@2.8.17:
+  version "2.8.17"
+  resolved "https://registry.yarnpkg.com/turbo-windows-64/-/turbo-windows-64-2.8.17.tgz#67f45f883fef586f12807d332702fb8009cce1af"
+  integrity sha512-EijeQ6zszDMmGZLP2vT2RXTs/GVi9rM0zv2/G4rNu2SSRSGFapgZdxgW4b5zUYLVaSkzmkpWlGfPfj76SW9yUg==
 
-turbo-windows-arm64@2.8.10:
-  version "2.8.10"
-  resolved "https://registry.yarnpkg.com/turbo-windows-arm64/-/turbo-windows-arm64-2.8.10.tgz#8d178389a995f98142b7ce8f76e1fce8a4b7c79d"
-  integrity sha512-QGdr/Q8LWmj+ITMkSvfiz2glf0d7JG0oXVzGL3jxkGqiBI1zXFj20oqVY0qWi+112LO9SVrYdpHS0E/oGFrMbQ==
+turbo-windows-arm64@2.8.17:
+  version "2.8.17"
+  resolved "https://registry.yarnpkg.com/turbo-windows-arm64/-/turbo-windows-arm64-2.8.17.tgz#e3c2a471f6f64e1e4084bd3e51d219cbd6e60608"
+  integrity sha512-crpfeMPkfECd4V1PQ/hMoiyVcOy04+bWedu/if89S15WhOalHZ2BYUi6DOJhZrszY+mTT99OwpOsj4wNfb/GHQ==
 
-turbo@^2.8.10:
-  version "2.8.10"
-  resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.8.10.tgz#4ead3ef7c2fd80f9fe367f9a8b88b8a819fb5065"
-  integrity sha512-OxbzDES66+x7nnKGg2MwBA1ypVsZoDTLHpeaP4giyiHSixbsiTaMyeJqbEyvBdp5Cm28fc+8GG6RdQtic0ijwQ==
+turbo@^2.8.17:
+  version "2.8.17"
+  resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.8.17.tgz#45abeefe9d2ee06bc69c906e8384514b49822dbc"
+  integrity sha512-YwPsNSqU2f/RXU/+Kcb7cPkPZARxom4+me7LKEdN5jsvy2tpfze3zDZ4EiGrJnvOm9Avu9rK0aaYsP7qZ3iz7A==
   optionalDependencies:
-    turbo-darwin-64 "2.8.10"
-    turbo-darwin-arm64 "2.8.10"
-    turbo-linux-64 "2.8.10"
-    turbo-linux-arm64 "2.8.10"
-    turbo-windows-64 "2.8.10"
-    turbo-windows-arm64 "2.8.10"
+    turbo-darwin-64 "2.8.17"
+    turbo-darwin-arm64 "2.8.17"
+    turbo-linux-64 "2.8.17"
+    turbo-linux-arm64 "2.8.17"
+    turbo-windows-64 "2.8.17"
+    turbo-windows-arm64 "2.8.17"
 
 type-check@^0.4.0, type-check@~0.4.0:
   version "0.4.0"
@@ -1984,6 +1971,11 @@ uuid@^10.0.0:
   resolved "https://registry.yarnpkg.com/uuid/-/uuid-10.0.0.tgz#5a95aa454e6e002725c79055fd42aaba30ca6294"
   integrity sha512-8XkAphELsDnEGrDxUOHB3RGvXz6TeuYSGEZBOjtTtPm2lwhGBjLgOzLHB63IUWfBpNucQjND6d3AOudO+H3RWQ==
 
+uuid@^11.1.0:
+  version "11.1.0"
+  resolved "https://registry.yarnpkg.com/uuid/-/uuid-11.1.0.tgz#9549028be1753bb934fc96e2bca09bb4105ae912"
+  integrity sha512-0/A9rDy9P7cJ+8w1c9WD9V//9Wj15Ce2MPz8Ri6032usz+NfePxx5AcN3bN+r6ZL6jEo066/yNYB3tn4pQEx+A==
+
 uuid@^13.0.0:
   version "13.0.0"
   resolved "https://registry.yarnpkg.com/uuid/-/uuid-13.0.0.tgz#263dc341b19b4d755eb8fe36b78d95a6b65707e8"

libs/cli/langgraph_cli/__init__.py

@@ -1 +1 @@
-__version__ = "0.4.14"
+__version__ = "0.4.18"

libs/cli/langgraph_cli/config.py

@@ -1,3 +1,4 @@
+import copy
 import json
 import os
 import pathlib
@@ -1232,11 +1233,15 @@ def node_config_to_docker(
     return os.linesep.join(docker_file_contents), {}
 
 
-def default_base_image(config: Config) -> str:
+def default_base_image(
+    config: Config, engine_runtime_mode: str = "combined_queue_worker"
+) -> str:
     if config.get("base_image"):
         return config["base_image"]
     if config.get("node_version") and not config.get("python_version"):
         return "langchain/langgraphjs-api"
+    if engine_runtime_mode == "distributed":
+        return "langchain/langgraph-executor"
     return "langchain/langgraph-api"
 
 
@@ -1329,6 +1334,7 @@ def config_to_compose(
     api_version: str | None = None,
     image: str | None = None,
     watch: bool = False,
+    engine_runtime_mode: str = "combined_queue_worker",
 ) -> str:
     base_image = base_image or default_base_image(config)
 
@@ -1362,6 +1368,11 @@ def config_to_compose(
 """
 
     else:
+        # Save a pristine copy before config_to_docker mutates graph paths
+        config_snapshot = (
+            copy.deepcopy(config) if engine_runtime_mode == "distributed" else None
+        )
+
         dockerfile, additional_contexts = config_to_docker(
             config_path=config_path,
             config=config,
@@ -1379,7 +1390,7 @@ def config_to_compose(
             additional_contexts:
 {additional_contexts_str}"""
 
-        return f"""
+        result = f"""
 {textwrap.indent(env_vars_str, "            ")}
         {env_file_str}
         pull_policy: build
@@ -1389,3 +1400,60 @@ def config_to_compose(
 {textwrap.indent(dockerfile, "                ")}
         {watch_str}
 """
+
+        if engine_runtime_mode == "distributed":
+            executor_base_image = default_base_image(
+                config_snapshot, engine_runtime_mode="distributed"
+            )
+            executor_dockerfile, executor_additional_contexts = config_to_docker(
+                config_path=config_path,
+                config=config_snapshot,
+                base_image=executor_base_image,
+                api_version=api_version,
+                escape_variables=True,
+            )
+
+            executor_additional_contexts_str = "\n".join(
+                f"                    - {name}: {path}"
+                for name, path in executor_additional_contexts.items()
+            )
+            if executor_additional_contexts_str:
+                executor_additional_contexts_str = f"""
+                additional_contexts:
+{executor_additional_contexts_str}"""
+
+            postgres_uri = "postgres://postgres:postgres@langgraph-postgres:5432/postgres?sslmode=disable"
+            result += f"""    langgraph-orchestrator:
+        image: langchain/langgraph-orchestrator-licensed:latest
+        depends_on:
+            langgraph-api:
+                condition: service_healthy
+            langgraph-postgres:
+                condition: service_healthy
+        environment:
+            DATABASE_URI: {postgres_uri}
+            EXECUTOR_TARGET: langgraph-executor:8188
+        {env_file_str}
+    langgraph-executor:
+        depends_on:
+            langgraph-postgres:
+                condition: service_healthy
+            langgraph-api:
+                condition: service_healthy
+        entrypoint: ["sh", "/storage/executor_entrypoint.sh"]
+        environment:
+            DATABASE_URI: {postgres_uri}
+            REDIS_URI: redis://langgraph-redis:6379
+            EXECUTOR_GRPC_PORT: "8188"
+            ENGINE_GRPC_ADDRESS: "langgraph-orchestrator:50054"
+            LSD_GRPC_SERVER_ADDRESS: "localhost:50050"
+            LANGGRAPH_HTTP: ""
+        {env_file_str}
+        pull_policy: build
+        build:
+            context: .{executor_additional_contexts_str}
+            dockerfile_inline: |
+{textwrap.indent(executor_dockerfile, "                ")}
+"""
+
+        return result

libs/cli/langgraph_cli/docker.py

@@ -149,6 +149,7 @@ def compose_as_dict(
     base_image: str | None = None,
     # API version of the base image
     api_version: str | None = None,
+    engine_runtime_mode: str = "combined_queue_worker",
 ) -> dict:
     """Create a docker compose file as a dictionary in YML style."""
     if postgres_uri is None:
@@ -207,15 +208,19 @@ def compose_as_dict(
         )["langgraph-debugger"]
 
     # Add langgraph-api service
+    api_environment = {
+        "REDIS_URI": "redis://langgraph-redis:6379",
+        "POSTGRES_URI": postgres_uri,
+    }
+    if engine_runtime_mode == "distributed":
+        api_environment["N_JOBS_PER_WORKER"] = '"0"'
+
     services["langgraph-api"] = {
         "ports": [f'"{port}:8000"'],
         "depends_on": {
             "langgraph-redis": {"condition": "service_healthy"},
         },
-        "environment": {
-            "REDIS_URI": "redis://langgraph-redis:6379",
-            "POSTGRES_URI": postgres_uri,
-        },
+        "environment": api_environment,
     }
     if image:
         services["langgraph-api"]["image"] = image
@@ -255,6 +260,7 @@ def compose(
     image: str | None = None,
     base_image: str | None = None,
     api_version: str | None = None,
+    engine_runtime_mode: str = "combined_queue_worker",
 ) -> str:
     """Create a docker compose file as a string."""
     compose_content = compose_as_dict(
@@ -266,6 +272,7 @@ def compose(
         image=image,
         base_image=base_image,
         api_version=api_version,
+        engine_runtime_mode=engine_runtime_mode,
     )
     compose_str = dict_to_yaml(compose_content)
     return compose_str

libs/cli/langgraph_cli/helpers.py

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

libs/cli/langgraph_cli/host_backend.py

@@ -0,0 +1,143 @@
+"""HTTP client for LangGraph host backend deployments."""
+
+from __future__ import annotations
+
+from typing import Any
+
+import click
+import httpx
+
+
+class HostBackendError(click.ClickException):
+    """Raised when the host backend returns an error response."""
+
+    def __init__(self, message: str, status_code: int | None = None):
+        super().__init__(message)
+        self.status_code = status_code
+
+
+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,
+    ):
+        if not base_url:
+            raise click.UsageError("Host backend URL is required")
+        transport = httpx.HTTPTransport(retries=3)
+        headers: dict[str, str] = {
+            "X-Api-Key": api_key,
+            "Accept": "application/json",
+        }
+        if tenant_id:
+            headers["X-Tenant-ID"] = tenant_id
+        self._base_url = base_url.rstrip("/")
+        self._client = httpx.Client(
+            base_url=self._base_url,
+            headers=headers,
+            transport=transport,
+            timeout=30,
+        )
+
+    def _request(
+        self,
+        method: str,
+        path: str,
+        payload: dict[str, Any] | None = None,
+        params: dict[str, Any] | None = None,
+    ) -> Any:
+        try:
+            resp = self._client.request(method, path, json=payload, params=params)
+            resp.raise_for_status()
+        except httpx.HTTPStatusError as err:
+            detail = err.response.text or str(err.response.status_code)
+            raise HostBackendError(
+                f"{method} {path} failed with status {err.response.status_code}: {detail}",
+                status_code=err.response.status_code,
+            ) from None
+        except httpx.TransportError as err:
+            raise HostBackendError(str(err)) from None
+
+        if not resp.content:
+            return None
+        try:
+            return resp.json()
+        except ValueError as err:
+            raise HostBackendError(
+                f"Failed to decode response from {path}: {err}"
+            ) from None
+
+    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 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",
+            f"/v2/deployments/{deployment_id}/push-token",
+        )
+
+    def update_deployment(
+        self,
+        deployment_id: str,
+        image_uri: str,
+        secrets: list[dict[str, 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
+        return self._request(
+            "PATCH",
+            f"/v2/deployments/{deployment_id}",
+            payload,
+        )
+
+    def list_revisions(self, deployment_id: str, limit: int = 1) -> dict[str, Any]:
+        return self._request(
+            "GET",
+            f"/v2/deployments/{deployment_id}/revisions?limit={limit}",
+        )
+
+    def get_revision(self, deployment_id: str, revision_id: str) -> dict[str, Any]:
+        return self._request(
+            "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/progress.py

@@ -12,8 +12,12 @@ class Progress:
         while True:
             yield from "|/-\\"
 
-    def __init__(self, *, message=""):
+    def __init__(self, *, message="", elapsed: bool = False):
         self.message = message
+        self._base_message = message
+        self._show_elapsed = elapsed
+        # use this to make sure we don't kill thread when we set msg to ""
+        self._stop = threading.Event()
         self.spinner_generator = self.spinning_cursor()
 
     def spinner_iteration(self):
@@ -29,9 +33,23 @@ class Progress:
         )
         sys.stdout.flush()
 
+    def _format_elapsed(self, seconds: float) -> str:
+        mins, secs = divmod(int(seconds), 60)
+        if mins:
+            return f"{self._base_message} ({mins}m {secs:02d}s)"
+        return f"{self._base_message} ({secs}s)"
+
     def spinner_task(self):
-        while self.message:
+        start = time.monotonic()
+        while not self._stop.is_set():
+            if not self.message:
+                time.sleep(self.delay)
+                continue
+            if self._show_elapsed:
+                self.message = self._format_elapsed(time.monotonic() - start)
             message = self.message
+            if not message:
+                continue
             sys.stdout.write(next(self.spinner_generator) + " " + message)
             sys.stdout.flush()
             time.sleep(self.delay)
@@ -50,21 +68,22 @@ class Progress:
 
             def set_message(message):
                 self.message = message
-                if not message:
-                    self.thread.join()
+                self._base_message = message or self._base_message
 
             return set_message
         else:
 
             def set_message(message):
-                sys.stderr.write(message + "\n")
-                sys.stderr.flush()
+                if message:
+                    sys.stderr.write(message + "\n")
+                    sys.stderr.flush()
 
             return set_message
 
     def __exit__(self, exception, value, tb):
         if sys.stdout.isatty():
             self.message = ""
+            self._stop.set()
             try:
                 self.thread.join()
             finally:

libs/cli/langgraph_cli/templates.py

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

libs/cli/langgraph_cli/util.py

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

libs/cli/pyproject.toml

@@ -13,7 +13,9 @@ license = "MIT"
 license-files = ['LICENSE']
 dependencies = [
     "click>=8.1.7",
+    "httpx>=0.24.0",
     "langgraph-sdk>=0.1.0 ; python_version >= '3.11'",
+    "python-dotenv>=0.8.0",
 ]
 [tool.hatch.version]
 path = "langgraph_cli/__init__.py"
@@ -21,7 +23,6 @@ path = "langgraph_cli/__init__.py"
 inmem = [
     "langgraph-api>=0.5.35,<0.8.0 ; python_version >= '3.11'",
     "langgraph-runtime-inmem>=0.7 ; python_version >= '3.11'",
-    "python-dotenv>=0.8.0",
 ]
 
 [project.urls]

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

@@ -9,6 +9,7 @@ from pathlib import Path
 
 from click.testing import CliRunner
 
+import langgraph_cli.cli as cli_module
 from langgraph_cli.cli import cli, prepare_args_and_stdin
 from langgraph_cli.config import Config, _get_pip_cleanup_lines, validate_config
 from langgraph_cli.docker import DEFAULT_POSTGRES_URI, DockerCapabilities, Version
@@ -287,6 +288,238 @@ def test_version_option() -> None:
     )
 
 
+def test_top_level_help_shows_deploy_subcommands() -> None:
+    runner = CliRunner()
+
+    result = runner.invoke(cli, ["--help"])
+
+    assert result.exit_code == 0, result.output
+    assert "deploy" in result.output
+    assert "deploy list" in result.output
+    assert "deploy delete" in result.output
+    assert "[Beta] List LangSmith Deployments." in result.output
+
+
+def test_top_level_help_truncates_command_descriptions_to_single_line() -> None:
+    runner = CliRunner()
+
+    result = runner.invoke(cli, ["--help"])
+
+    assert result.exit_code == 0, result.output
+    lines = result.output.splitlines()
+    deploy_line = next(line for line in lines if line.strip().startswith("deploy"))
+    deploy_list_line = next(
+        line for line in lines if line.strip().startswith("deploy list")
+    )
+
+    assert not lines[lines.index(deploy_line) + 1].startswith("               ")
+    assert "..." in deploy_line
+    assert "[Beta] List LangSmith Deployments." in deploy_list_line
+
+
+def test_deploy_list_command(monkeypatch) -> None:
+    runner = CliRunner()
+    captured: dict[str, str] = {}
+
+    class FakeClient:
+        def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
+            captured["host_url"] = host_url
+            captured["api_key"] = api_key
+            captured["tenant_id"] = tenant_id or ""
+
+        def list_deployments(self, name_contains: str = ""):
+            captured["name_contains"] = name_contains
+            return {
+                "resources": [
+                    {
+                        "id": "dep-123",
+                        "name": "alpha",
+                        "source_config": {"custom_url": "https://alpha.example.com"},
+                    },
+                    {
+                        "id": "dep-456",
+                        "name": "beta",
+                        "source_config": {"custom_url": "https://beta.example.com"},
+                    },
+                ]
+            }
+
+    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
+
+    result = runner.invoke(
+        cli,
+        [
+            "deploy",
+            "list",
+            "--api-key",
+            "test-key",
+            "--host-url",
+            "https://api.example.com",
+            "--name-contains",
+            "alp",
+        ],
+    )
+
+    assert result.exit_code == 0, result.output
+    assert captured == {
+        "host_url": "https://api.example.com",
+        "api_key": "test-key",
+        "tenant_id": "",
+        "name_contains": "alp",
+    }
+    assert "Deployment ID" in result.output
+    assert "Deployment Name" in result.output
+    assert "Deployment URL" in result.output
+    assert "dep-123" in result.output
+    assert "https://beta.example.com" in result.output
+
+
+def test_deploy_list_command_no_results(monkeypatch) -> None:
+    runner = CliRunner()
+
+    class FakeClient:
+        def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
+            pass
+
+        def list_deployments(self, name_contains: str = ""):
+            return {"resources": []}
+
+    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
+
+    result = runner.invoke(
+        cli,
+        [
+            "deploy",
+            "list",
+            "--api-key",
+            "test-key",
+            "--host-url",
+            "https://api.example.com",
+        ],
+    )
+
+    assert result.exit_code == 0, result.output
+    assert result.output.strip() == "No deployments found."
+
+
+def test_deploy_delete_command(monkeypatch) -> None:
+    runner = CliRunner()
+    captured: dict[str, str] = {}
+
+    class FakeClient:
+        def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
+            captured["host_url"] = host_url
+            captured["api_key"] = api_key
+            captured["tenant_id"] = tenant_id or ""
+
+        def delete_deployment(self, deployment_id: str):
+            captured["deployment_id"] = deployment_id
+            return None
+
+    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
+
+    result = runner.invoke(
+        cli,
+        [
+            "deploy",
+            "delete",
+            "--api-key",
+            "test-key",
+            "--host-url",
+            "https://api.example.com",
+            "dep-123",
+        ],
+        input="y\n",
+    )
+
+    assert result.exit_code == 0, result.output
+    assert captured == {
+        "host_url": "https://api.example.com",
+        "api_key": "test-key",
+        "tenant_id": "",
+        "deployment_id": "dep-123",
+    }
+    assert (
+        "Are you sure you want to delete deployment ID dep-123? (Y/n):" in result.output
+    )
+    assert result.output.strip().endswith("Deleted deployment dep-123.")
+
+
+def test_deploy_delete_command_cancelled(monkeypatch) -> None:
+    runner = CliRunner()
+    deleted = False
+
+    class FakeClient:
+        def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
+            pass
+
+        def delete_deployment(self, deployment_id: str):
+            nonlocal deleted
+            deleted = True
+            return None
+
+    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
+
+    result = runner.invoke(
+        cli,
+        [
+            "deploy",
+            "delete",
+            "--api-key",
+            "test-key",
+            "--host-url",
+            "https://api.example.com",
+            "dep-123",
+        ],
+        input="n\n",
+    )
+
+    assert result.exit_code == 1, result.output
+    assert not deleted
+    assert "Aborted!" in result.output
+
+
+def test_deploy_delete_command_force(monkeypatch) -> None:
+    runner = CliRunner()
+    captured: dict[str, str] = {}
+
+    class FakeClient:
+        def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
+            captured["host_url"] = host_url
+            captured["api_key"] = api_key
+            captured["tenant_id"] = tenant_id or ""
+
+        def delete_deployment(self, deployment_id: str):
+            captured["deployment_id"] = deployment_id
+            return None
+
+    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
+
+    result = runner.invoke(
+        cli,
+        [
+            "deploy",
+            "delete",
+            "--force",
+            "--api-key",
+            "test-key",
+            "--host-url",
+            "https://api.example.com",
+            "dep-123",
+        ],
+    )
+
+    assert result.exit_code == 0, result.output
+    assert "Are you sure you want to delete deployment ID dep-123?" not in result.output
+    assert captured == {
+        "host_url": "https://api.example.com",
+        "api_key": "test-key",
+        "tenant_id": "",
+        "deployment_id": "dep-123",
+    }
+    assert result.output.strip() == "Deleted deployment dep-123."
+
+
 def test_dockerfile_command_basic() -> None:
     """Test the 'dockerfile' command with basic configuration."""
     runner = CliRunner()
@@ -822,3 +1055,139 @@ def test_prepare_args_and_stdin_with_api_version_and_image() -> None:
     # When image is provided, api_version should be ignored for the image
     # but the stdin should not contain a build section (since image is provided)
     assert "pull_policy: build" not in actual_stdin
+
+
+def test_dockerfile_command_distributed_mode() -> None:
+    """Test the 'dockerfile' command with --engine-runtime-mode distributed."""
+    runner = CliRunner()
+    config_content = {
+        "python_version": "3.11",
+        "graphs": {"agent": "agent.py:graph"},
+        "dependencies": ["."],
+    }
+
+    with temporary_config_folder(config_content) as temp_dir:
+        save_path = temp_dir / "Dockerfile"
+        agent_path = temp_dir / "agent.py"
+        agent_path.touch()
+
+        result = runner.invoke(
+            cli,
+            [
+                "dockerfile",
+                str(save_path),
+                "--config",
+                str(temp_dir / "config.json"),
+                "--engine-runtime-mode",
+                "distributed",
+            ],
+        )
+
+        assert result.exit_code == 0, result.output
+        assert "✅ Created: Dockerfile" in result.output
+
+        assert save_path.exists()
+        with open(save_path) as f:
+            dockerfile = f.read()
+            assert "FROM langchain/langgraph-executor:3.11" in dockerfile
+
+
+def test_dockerfile_command_combined_mode() -> None:
+    """Test the 'dockerfile' command with --engine-runtime-mode combined_queue_worker."""
+    runner = CliRunner()
+    config_content = {
+        "python_version": "3.11",
+        "graphs": {"agent": "agent.py:graph"},
+        "dependencies": ["."],
+    }
+
+    with temporary_config_folder(config_content) as temp_dir:
+        save_path = temp_dir / "Dockerfile"
+        agent_path = temp_dir / "agent.py"
+        agent_path.touch()
+
+        result = runner.invoke(
+            cli,
+            [
+                "dockerfile",
+                str(save_path),
+                "--config",
+                str(temp_dir / "config.json"),
+                "--engine-runtime-mode",
+                "combined_queue_worker",
+            ],
+        )
+
+        assert result.exit_code == 0, result.output
+        assert save_path.exists()
+        with open(save_path) as f:
+            dockerfile = f.read()
+            assert "FROM langchain/langgraph-api:3.11" in dockerfile
+
+
+def test_dockerfile_command_distributed_with_explicit_base_image() -> None:
+    """Test distributed mode with explicit --base-image overrides executor default."""
+    runner = CliRunner()
+    config_content = {
+        "python_version": "3.11",
+        "graphs": {"agent": "agent.py:graph"},
+        "dependencies": ["."],
+    }
+
+    with temporary_config_folder(config_content) as temp_dir:
+        save_path = temp_dir / "Dockerfile"
+        agent_path = temp_dir / "agent.py"
+        agent_path.touch()
+
+        result = runner.invoke(
+            cli,
+            [
+                "dockerfile",
+                str(save_path),
+                "--config",
+                str(temp_dir / "config.json"),
+                "--engine-runtime-mode",
+                "distributed",
+                "--base-image",
+                "my-custom-executor:latest",
+            ],
+        )
+
+        assert result.exit_code == 0, result.output
+        assert save_path.exists()
+        with open(save_path) as f:
+            dockerfile = f.read()
+            assert "FROM my-custom-executor:latest" in dockerfile
+
+
+def test_prepare_args_and_stdin_distributed_mode() -> None:
+    """Test prepare_args_and_stdin with distributed mode includes all services."""
+    config_path = pathlib.Path(__file__).parent / "langgraph.json"
+    config = validate_config(
+        Config(dependencies=["."], graphs={"agent": "agent.py:graph"})
+    )
+    port = 8000
+
+    actual_args, actual_stdin = prepare_args_and_stdin(
+        capabilities=DEFAULT_DOCKER_CAPABILITIES,
+        config_path=config_path,
+        config=config,
+        docker_compose=None,
+        port=port,
+        watch=False,
+        engine_runtime_mode="distributed",
+    )
+
+    # API service should use langgraph-api base image
+    assert "FROM langchain/langgraph-api:" 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
+    assert "langgraph-orchestrator:" 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 "executor_entrypoint.sh" in actual_stdin

libs/cli/tests/unit_tests/test_config.py

@@ -13,6 +13,7 @@ from langgraph_cli.config import (
     _get_pip_cleanup_lines,
     config_to_compose,
     config_to_docker,
+    default_base_image,
     docker_tag,
     has_disallowed_build_command_content,
     validate_config,
@@ -1695,6 +1696,196 @@ def test_config_to_compose_with_api_version():
     assert "FROM langchain/langgraphjs-api:0.2.74-node20" in actual_compose_str
 
 
+def test_default_base_image_combined_mode():
+    """Test default_base_image returns langgraph-api for combined_queue_worker mode."""
+    config = validate_config(
+        {
+            "dependencies": ["."],
+            "graphs": {"agent": "./agent.py:graph"},
+        }
+    )
+    assert default_base_image(config) == "langchain/langgraph-api"
+    assert (
+        default_base_image(config, engine_runtime_mode="combined_queue_worker")
+        == "langchain/langgraph-api"
+    )
+
+
+def test_default_base_image_distributed_mode():
+    """Test default_base_image returns langgraph-executor for distributed mode."""
+    config = validate_config(
+        {
+            "dependencies": ["."],
+            "graphs": {"agent": "./agent.py:graph"},
+        }
+    )
+    assert (
+        default_base_image(config, engine_runtime_mode="distributed")
+        == "langchain/langgraph-executor"
+    )
+
+
+def test_default_base_image_distributed_with_explicit_base():
+    """Test default_base_image returns explicit base_image even in distributed mode."""
+    config = validate_config(
+        {
+            "dependencies": ["."],
+            "graphs": {"agent": "./agent.py:graph"},
+            "base_image": "my-custom-image:latest",
+        }
+    )
+    assert (
+        default_base_image(config, engine_runtime_mode="distributed")
+        == "my-custom-image:latest"
+    )
+
+
+def test_default_base_image_nodejs():
+    """Test default_base_image returns langgraphjs-api for Node.js config."""
+    config = validate_config(
+        {
+            "node_version": "20",
+            "graphs": {"agent": "./agent.js:graph"},
+        }
+    )
+    assert default_base_image(config) == "langchain/langgraphjs-api"
+
+
+def test_config_to_docker_executor_base_image():
+    """Test config_to_docker with executor base image for distributed mode."""
+    graphs = {"agent": "./agent.py:graph"}
+    config = validate_config({"dependencies": ["."], "graphs": graphs})
+    actual_docker_stdin, _ = config_to_docker(
+        PATH_TO_CONFIG,
+        config,
+        base_image="langchain/langgraph-executor",
+    )
+    assert "FROM langchain/langgraph-executor:3.11" in actual_docker_stdin
+    assert "LANGSERVE_GRAPHS=" in actual_docker_stdin
+
+
+def test_config_to_compose_distributed_mode():
+    """Test config_to_compose with engine_runtime_mode='distributed'."""
+    graphs = {"agent": "./agent.py:graph"}
+    actual_compose_stdin = config_to_compose(
+        PATH_TO_CONFIG,
+        validate_config({"dependencies": ["."], "graphs": graphs}),
+        "langchain/langgraph-api",
+        engine_runtime_mode="distributed",
+    )
+
+    # API service uses langchain/langgraph-api base image
+    assert "FROM langchain/langgraph-api:3.11" in actual_compose_stdin
+
+    # Orchestrator service is present
+    assert "langgraph-orchestrator:" 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 (
+        'entrypoint: ["sh", "/storage/executor_entrypoint.sh"]' in actual_compose_stdin
+    )
+
+    # Executor has required environment variables
+    assert "EXECUTOR_GRPC_PORT:" in actual_compose_stdin
+    assert "ENGINE_GRPC_ADDRESS:" in actual_compose_stdin
+    assert "LSD_GRPC_SERVER_ADDRESS:" in actual_compose_stdin
+    assert 'LANGGRAPH_HTTP: ""' in actual_compose_stdin
+    assert "REDIS_URI: redis://langgraph-redis:6379" in actual_compose_stdin
+
+
+def test_config_to_compose_distributed_mode_with_env_file():
+    """Test config_to_compose distributed mode propagates env_file to all services."""
+    graphs = {"agent": "./agent.py:graph"}
+    actual_compose_stdin = config_to_compose(
+        PATH_TO_CONFIG,
+        validate_config({"dependencies": ["."], "graphs": graphs, "env": ".env"}),
+        "langchain/langgraph-api",
+        engine_runtime_mode="distributed",
+    )
+
+    # env_file should appear multiple times: API, orchestrator, executor
+    env_file_count = actual_compose_stdin.count("env_file: .env")
+    assert env_file_count == 3, (
+        f"Expected env_file to appear 3 times (api, orchestrator, executor), "
+        f"got {env_file_count}"
+    )
+
+
+def test_config_to_compose_distributed_mode_generates_two_dockerfiles():
+    """Test that distributed mode generates separate Dockerfiles for API and executor."""
+    graphs = {"agent": "./agent.py:graph"}
+    actual_compose_stdin = config_to_compose(
+        PATH_TO_CONFIG,
+        validate_config({"dependencies": ["."], "graphs": graphs}),
+        "langchain/langgraph-api",
+        engine_runtime_mode="distributed",
+    )
+
+    # Should contain two different FROM lines
+    from_lines = [
+        line.strip()
+        for line in actual_compose_stdin.splitlines()
+        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]
+
+
+def test_config_to_compose_combined_mode_no_orchestrator():
+    """Test that combined_queue_worker mode does NOT generate orchestrator/executor."""
+    graphs = {"agent": "./agent.py:graph"}
+    actual_compose_stdin = config_to_compose(
+        PATH_TO_CONFIG,
+        validate_config({"dependencies": ["."], "graphs": graphs}),
+        "langchain/langgraph-api",
+        engine_runtime_mode="combined_queue_worker",
+    )
+    assert "langgraph-orchestrator:" not in actual_compose_stdin
+    assert "langgraph-executor:" not in actual_compose_stdin
+
+
+def test_config_to_compose_default_mode_no_orchestrator():
+    """Test that default mode (no engine_runtime_mode) has no orchestrator/executor."""
+    graphs = {"agent": "./agent.py:graph"}
+    actual_compose_stdin = config_to_compose(
+        PATH_TO_CONFIG,
+        validate_config({"dependencies": ["."], "graphs": graphs}),
+        "langchain/langgraph-api",
+    )
+    assert "langgraph-orchestrator:" not in actual_compose_stdin
+    assert "langgraph-executor:" not in actual_compose_stdin
+
+
+def test_config_to_compose_distributed_executor_gets_correct_paths():
+    """Test that executor Dockerfile gets correct host paths despite API Dockerfile
+    mutation. This validates the deep copy fix in config_to_compose -- without it,
+    the executor's config_to_docker call would see already-mutated container paths
+    from the API's config_to_docker call, causing FileNotFoundError."""
+    graphs = {"agent": "./agent.py:graph"}
+    actual_compose_stdin = config_to_compose(
+        PATH_TO_CONFIG,
+        validate_config({"dependencies": ["."], "graphs": graphs}),
+        "langchain/langgraph-api",
+        engine_runtime_mode="distributed",
+    )
+
+    # Both API and executor Dockerfiles should contain valid LANGSERVE_GRAPHS
+    # referencing container paths (not host paths). If the deep copy was missing,
+    # the executor Dockerfile would fail to generate or have wrong paths.
+    from_lines = [
+        line.strip()
+        for line in actual_compose_stdin.splitlines()
+        if "LANGSERVE_GRAPHS=" in line.strip()
+    ]
+    assert len(from_lines) == 2, (
+        f"Expected 2 LANGSERVE_GRAPHS lines (api + executor), got {len(from_lines)}"
+    )
+
+
 class TestHasDisallowedBuildCommandContent:
     """Tests for has_disallowed_build_command_content."""
 

libs/cli/tests/unit_tests/test_deploy_helpers.py

@@ -0,0 +1,226 @@
+import base64
+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:
+    def test_creates_config_json(self):
+        with _docker_config_for_token("us-docker.pkg.dev", "my-token") as cfg:
+            config_path = os.path.join(cfg, "config.json")
+            assert os.path.isfile(config_path)
+            with open(config_path) as f:
+                data = json.load(f)
+            expected_auth = base64.b64encode(b"oauth2accesstoken:my-token").decode()
+            assert data == {"auths": {"us-docker.pkg.dev": {"auth": expected_auth}}}
+
+    def test_tempdir_cleaned_up(self):
+        with _docker_config_for_token("registry.example.com", "tok") as cfg:
+            assert os.path.isdir(cfg)
+        assert not os.path.exists(cfg)
+
+    def test_different_registries(self):
+        with _docker_config_for_token("gcr.io", "token123") as cfg:
+            with open(os.path.join(cfg, "config.json")) as f:
+                data = json.load(f)
+            assert "gcr.io" in data["auths"]
+
+
+class TestNormalizeImageName:
+    def test_simple_name(self):
+        assert _normalize_image_name("myapp") == "myapp"
+
+    def test_uppercase_lowered(self):
+        assert _normalize_image_name("MyApp") == "myapp"
+
+    def test_special_chars_replaced(self):
+        assert _normalize_image_name("my app!@#v2") == "my-app-v2"
+
+    def test_dots_and_hyphens_kept(self):
+        assert _normalize_image_name("my-app.v2") == "my-app.v2"
+
+    def test_leading_trailing_stripped(self):
+        assert _normalize_image_name("--my-app..") == "my-app"
+
+    def test_empty_string_returns_app(self):
+        assert _normalize_image_name("") == "app"
+
+    def test_none_returns_app(self):
+        assert _normalize_image_name(None) == "app"
+
+    def test_all_invalid_chars_returns_app(self):
+        assert _normalize_image_name("!!!") == "app"
+
+
+class TestNormalizeImageTag:
+    def test_valid_tag(self):
+        assert _normalize_image_tag("v1.2.3") == "v1.2.3"
+
+    def test_empty_defaults_to_latest(self):
+        assert _normalize_image_tag("") == "latest"
+
+    def test_alphanumeric_and_special(self):
+        assert _normalize_image_tag("my_tag-1.0") == "my_tag-1.0"
+
+    def test_invalid_chars_raises(self):
+        with pytest.raises(click.UsageError, match="Image tag may only contain"):
+            _normalize_image_tag("v1.0:bad")
+
+    def test_spaces_raises(self):
+        with pytest.raises(click.UsageError, match="Image tag may only contain"):
+            _normalize_image_tag("has space")
+
+
+class TestParseEnvFromConfig:
+    def test_env_dict(self, tmp_path):
+        config_path = tmp_path / "langgraph.json"
+        config_path.touch()
+        result = _parse_env_from_config({"env": {"FOO": "bar", "NUM": 42}}, config_path)
+        assert result == {"FOO": "bar", "NUM": "42"}
+
+    def test_env_string_dotenv_file(self, tmp_path):
+        env_file = tmp_path / "my.env"
+        env_file.write_text("KEY1=val1\nKEY2=val2\n")
+        config_path = tmp_path / "langgraph.json"
+        config_path.touch()
+        result = _parse_env_from_config({"env": "my.env"}, config_path)
+        assert result == {"KEY1": "val1", "KEY2": "val2"}
+
+    def test_env_missing_falls_back_to_dotenv(self, tmp_path, monkeypatch):
+        env_file = tmp_path / ".env"
+        env_file.write_text("DEFAULT_KEY=default_val\n")
+        monkeypatch.chdir(tmp_path)
+        config_path = tmp_path / "langgraph.json"
+        config_path.touch()
+        result = _parse_env_from_config({}, config_path)
+        assert result == {"DEFAULT_KEY": "default_val"}
+
+    def test_env_empty_dict_falls_back_to_dotenv(self, tmp_path, monkeypatch):
+        """validate_config defaults env to {}, should still fall back to .env."""
+        env_file = tmp_path / ".env"
+        env_file.write_text("MY_KEY=my_val\n")
+        monkeypatch.chdir(tmp_path)
+        config_path = tmp_path / "langgraph.json"
+        config_path.touch()
+        result = _parse_env_from_config({"env": {}}, config_path)
+        assert result == {"MY_KEY": "my_val"}
+
+    def test_env_missing_no_dotenv_returns_empty(self, tmp_path, monkeypatch):
+        monkeypatch.chdir(tmp_path)
+        config_path = tmp_path / "langgraph.json"
+        config_path.touch()
+        result = _parse_env_from_config({}, config_path)
+        assert result == {}
+
+    def test_env_dotenv_filters_none_values(self, tmp_path):
+        # Lines like "KEY=" produce empty string, lines like "KEY" produce None
+        env_file = tmp_path / "test.env"
+        env_file.write_text("GOOD=value\nEMPTY=\n")
+        config_path = tmp_path / "langgraph.json"
+        config_path.touch()
+        result = _parse_env_from_config({"env": "test.env"}, config_path)
+        assert "GOOD" in result
+        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_docker.py

@@ -368,6 +368,61 @@ services:
     assert clean_empty_lines(actual_compose_str) == expected_compose_str
 
 
+def test_compose_distributed_mode_with_custom_db():
+    """Test compose with engine_runtime_mode='distributed' adds N_JOBS_PER_WORKER=0."""
+    port = 8123
+    custom_postgres_uri = "custom_postgres_uri"
+    actual_compose_str = compose(
+        DEFAULT_DOCKER_CAPABILITIES,
+        port=port,
+        postgres_uri=custom_postgres_uri,
+        engine_runtime_mode="distributed",
+    )
+    expected_compose_str = f"""services:
+    langgraph-redis:
+        image: redis:6
+        healthcheck:
+            test: redis-cli ping
+            interval: 5s
+            timeout: 1s
+            retries: 5
+    langgraph-api:
+        ports:
+            - "{port}:8000"
+        depends_on:
+            langgraph-redis:
+                condition: service_healthy
+        environment:
+            REDIS_URI: redis://langgraph-redis:6379
+            POSTGRES_URI: {custom_postgres_uri}
+            N_JOBS_PER_WORKER: "0\""""
+    assert clean_empty_lines(actual_compose_str) == expected_compose_str
+
+
+def test_compose_distributed_mode_with_default_db():
+    """Test compose distributed mode with default DB includes N_JOBS_PER_WORKER=0."""
+    port = 8123
+    actual_compose_str = compose(
+        DEFAULT_DOCKER_CAPABILITIES,
+        port=port,
+        engine_runtime_mode="distributed",
+    )
+    assert 'N_JOBS_PER_WORKER: "0"' in actual_compose_str
+    assert "langgraph-postgres:" in actual_compose_str
+    assert "langgraph-redis:" in actual_compose_str
+
+
+def test_compose_combined_mode_has_no_n_jobs():
+    """Test compose with default combined_queue_worker mode does NOT set N_JOBS_PER_WORKER."""
+    port = 8123
+    actual_compose_str = compose(
+        DEFAULT_DOCKER_CAPABILITIES,
+        port=port,
+        engine_runtime_mode="combined_queue_worker",
+    )
+    assert "N_JOBS_PER_WORKER" not in actual_compose_str
+
+
 @pytest.mark.parametrize(
     "input_str,expected",
     [

libs/cli/tests/unit_tests/test_host_backend.py

@@ -0,0 +1,222 @@
+import httpx
+import pytest
+
+from langgraph_cli.host_backend import HostBackendClient, HostBackendError
+
+
+@pytest.fixture
+def mock_transport():
+    return httpx.MockTransport(lambda req: httpx.Response(200, json={"ok": True}))
+
+
+@pytest.fixture
+def client(mock_transport):
+    c = HostBackendClient("https://api.example.com", "test-key")
+    c._client = httpx.Client(
+        base_url="https://api.example.com",
+        transport=mock_transport,
+        headers={"X-Api-Key": "test-key", "Accept": "application/json"},
+        timeout=30,
+    )
+    return c
+
+
+def test_constructor_strips_trailing_slash():
+    c = HostBackendClient("https://api.example.com/", "key")
+    assert str(c._client.base_url) == "https://api.example.com"
+
+
+def test_constructor_empty_url_raises():
+    with pytest.raises(Exception, match="Host backend URL is required"):
+        HostBackendClient("", "key")
+
+
+def test_request_sends_headers():
+    def handler(req: httpx.Request) -> httpx.Response:
+        assert req.headers["x-api-key"] == "test-key"
+        assert req.headers["accept"] == "application/json"
+        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._request("GET", "/test")
+    assert result == {"ok": True}
+
+
+def test_request_sends_json_payload():
+    def handler(req: httpx.Request) -> httpx.Response:
+        assert req.headers["content-type"] == "application/json"
+        assert req.content == b'{"key":"value"}'
+        return httpx.Response(200, json={"created": 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._request("POST", "/test", {"key": "value"})
+    assert result == {"created": True}
+
+
+def test_request_empty_body_returns_none():
+    transport = httpx.MockTransport(lambda req: httpx.Response(200, content=b""))
+    c = HostBackendClient("https://api.example.com", "test-key")
+    c._client = httpx.Client(
+        base_url="https://api.example.com",
+        transport=transport,
+        headers={"X-Api-Key": "test-key", "Accept": "application/json"},
+        timeout=30,
+    )
+    assert c._request("DELETE", "/test") is None
+
+
+def test_request_http_error_raises():
+    transport = httpx.MockTransport(lambda req: httpx.Response(404, text="not found"))
+    c = HostBackendClient("https://api.example.com", "test-key")
+    c._client = httpx.Client(
+        base_url="https://api.example.com",
+        transport=transport,
+        headers={"X-Api-Key": "test-key", "Accept": "application/json"},
+        timeout=30,
+    )
+    with pytest.raises(HostBackendError, match="404"):
+        c._request("GET", "/missing")
+
+
+def test_request_invalid_json_raises():
+    transport = httpx.MockTransport(
+        lambda req: httpx.Response(200, content=b"not json")
+    )
+    c = HostBackendClient("https://api.example.com", "test-key")
+    c._client = httpx.Client(
+        base_url="https://api.example.com",
+        transport=transport,
+        headers={"X-Api-Key": "test-key", "Accept": "application/json"},
+        timeout=30,
+    )
+    with pytest.raises(HostBackendError, match="Failed to decode"):
+        c._request("GET", "/bad-json")
+
+
+def test_request_transport_error_raises():
+    def handler(req: httpx.Request) -> httpx.Response:
+        raise httpx.ConnectError("connection refused")
+
+    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,
+    )
+    with pytest.raises(HostBackendError, match="connection refused"):
+        c._request("GET", "/test")
+
+
+def test_create_deployment(client):
+    result = client.create_deployment({"name": "my-deploy"})
+    assert result == {"ok": True}
+
+
+def test_get_deployment(client):
+    result = client.get_deployment("dep-123")
+    assert result == {"ok": True}
+
+
+def test_list_deployments(client):
+    result = client.list_deployments("my-app")
+    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}
+
+
+def test_update_deployment(client):
+    result = client.update_deployment(
+        "dep-123", "image:latest", secrets=[{"name": "KEY", "value": "val"}]
+    )
+    assert result == {"ok": True}
+
+
+def test_update_deployment_no_secrets(client):
+    result = client.update_deployment("dep-123", "image:latest")
+    assert result == {"ok": True}
+
+
+def test_list_revisions(client):
+    result = client.list_revisions("dep-123", limit=5)
+    assert result == {"ok": True}
+
+
+def test_get_revision(client):
+    result = client.get_revision("dep-123", "rev-456")
+    assert result == {"ok": True}
+
+
+def test_get_build_logs(client):
+    result = client.get_build_logs("proj-1", "rev-1", {"limit": 10})
+    assert result == {"ok": True}
+
+
+def test_get_deploy_logs_all_revisions():
+    def handler(req: httpx.Request) -> httpx.Response:
+        assert "/v1/projects/proj-1/deploy_logs" in str(req.url)
+        assert "/revisions/" not in str(req.url)
+        return httpx.Response(200, json={"logs": [{"message": "running"}]})
+
+    c = HostBackendClient("https://api.example.com", "key")
+    c._client = httpx.Client(
+        base_url="https://api.example.com",
+        transport=httpx.MockTransport(handler),
+        headers={"X-Api-Key": "key", "Accept": "application/json"},
+        timeout=30,
+    )
+    result = c.get_deploy_logs("proj-1", {"limit": 10})
+    assert result == {"logs": [{"message": "running"}]}
+
+
+def test_get_deploy_logs_specific_revision():
+    def handler(req: httpx.Request) -> httpx.Response:
+        assert "/v1/projects/proj-1/revisions/rev-2/deploy_logs" in str(req.url)
+        return httpx.Response(200, json={"logs": []})
+
+    c = HostBackendClient("https://api.example.com", "key")
+    c._client = httpx.Client(
+        base_url="https://api.example.com",
+        transport=httpx.MockTransport(handler),
+        headers={"X-Api-Key": "key", "Accept": "application/json"},
+        timeout=30,
+    )
+    result = c.get_deploy_logs("proj-1", {"limit": 10}, revision_id="rev-2")
+    assert result == {"logs": []}

libs/cli/tests/unit_tests/test_logs_helpers.py

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

libs/cli/tests/unit_tests/test_util.py

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

libs/cli/uv.lock

@@ -367,11 +367,11 @@ wheels = [
 
 [[package]]
 name = "codespell"
-version = "2.4.1"
+version = "2.4.2"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/15/e0/709453393c0ea77d007d907dd436b3ee262e28b30995ea1aa36c6ffbccaf/codespell-2.4.1.tar.gz", hash = "sha256:299fcdcb09d23e81e35a671bbe746d5ad7e8385972e65dbb833a2eaac33c01e5", size = 344740, upload-time = "2025-01-28T18:52:39.411Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/2d/9d/1d0903dff693160f893ca6abcabad545088e7a2ee0a6deae7c24e958be69/codespell-2.4.2.tar.gz", hash = "sha256:3c33be9ae34543807f088aeb4832dfad8cb2dae38da61cac0a7045dd376cfdf3", size = 352058, upload-time = "2026-03-05T18:10:42.936Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/42/a1/52fa05533e95fe45bcc09bcf8a503874b1c08f221a4e35608017e0938f55/codespell-2.4.2-py3-none-any.whl", hash = "sha256:97e0c1060cf46bd1d5db89a936c98db8c2b804e1fdd4b5c645e82a1ec6b1f886", size = 353715, upload-time = "2026-03-05T18:10:41.398Z" },
 ]
 
 [[package]]
@@ -983,14 +983,15 @@ name = "langgraph-cli"
 source = { editable = "." }
 dependencies = [
     { name = "click" },
+    { name = "httpx" },
     { name = "langgraph-sdk", marker = "python_full_version >= '3.11'" },
+    { name = "python-dotenv" },
 ]
 
 [package.optional-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]
@@ -1021,10 +1022,11 @@ test = [
 [package.metadata]
 requires-dist = [
     { name = "click", specifier = ">=8.1.7" },
+    { name = "httpx", specifier = ">=0.24.0" },
     { name = "langgraph-api", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.5.35,<0.8.0" },
     { name = "langgraph-runtime-inmem", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.7" },
     { name = "langgraph-sdk", marker = "python_full_version >= '3.11'", specifier = ">=0.1.0" },
-    { name = "python-dotenv", marker = "extra == 'inmem'", specifier = ">=0.8.0" },
+    { name = "python-dotenv", specifier = ">=0.8.0" },
 ]
 provides-extras = ["inmem"]
 
@@ -1086,15 +1088,15 @@ wheels = [
 
 [[package]]
 name = "langgraph-sdk"
-version = "0.3.9"
+version = "0.3.11"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "httpx", marker = "python_full_version >= '3.11'" },
     { name = "orjson", marker = "python_full_version >= '3.11'" },
 ]
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+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" }
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+    { url = "https://files.pythonhosted.org/packages/13/c8/b8d15d4b9a320a3f57a851030a371066b91dbd1420f097d3d0338da9adc9/langgraph_sdk-0.3.11-py3-none-any.whl", hash = "sha256:18905fd6248ade98b0995d859a98672d57c811fbfffc0d63d1c107a512351b26", size = 94887, upload-time = "2026-03-11T00:46:43.855Z" },
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 [[package]]
@@ -1794,11 +1796,11 @@ wheels = [
 
 [[package]]
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+version = "2.12.0"
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+    { url = "https://files.pythonhosted.org/packages/15/70/70f895f404d363d291dcf62c12c85fdd47619ad9674ac0f53364d035925a/pyjwt-2.12.0-py3-none-any.whl", hash = "sha256:9bb459d1bdd0387967d287f5656bf7ec2b9a26645d1961628cda1764e087fd6e", size = 29700, upload-time = "2026-03-12T17:15:29.257Z" },
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 [[package]]
@@ -2024,27 +2026,27 @@ wheels = [
 
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 ]
 
 [[package]]

libs/langgraph/langgraph/_internal/_constants.py

@@ -41,6 +41,9 @@ CONFIG_KEY_CACHE = sys.intern("__pregel_cache")
 # holds a `BaseCache` made available to subgraphs
 CONFIG_KEY_RESUMING = sys.intern("__pregel_resuming")
 # holds a boolean indicating if subgraphs should resume from a previous checkpoint
+CONFIG_KEY_REPLAY_STATE = sys.intern("__pregel_replay_state")
+# holds a ReplayState tracking the parent checkpoint_id upper bound and which
+# subgraph namespaces have already loaded their pre-replay checkpoint
 CONFIG_KEY_TASK_ID = sys.intern("__pregel_task_id")
 # holds the task ID for the current task
 CONFIG_KEY_THREAD_ID = sys.intern("thread_id")
@@ -98,6 +101,7 @@ RESERVED = {
     CONFIG_KEY_STREAM,
     CONFIG_KEY_CHECKPOINT_MAP,
     CONFIG_KEY_RESUMING,
+    CONFIG_KEY_REPLAY_STATE,
     CONFIG_KEY_TASK_ID,
     CONFIG_KEY_CHECKPOINT_MAP,
     CONFIG_KEY_CHECKPOINT_ID,

libs/langgraph/langgraph/_internal/_replay.py

@@ -0,0 +1,90 @@
+"""Replay state for subgraph checkpoint loading during time-travel."""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+from langgraph._internal._constants import NS_END
+
+if TYPE_CHECKING:
+    from langchain_core.runnables import RunnableConfig
+    from langgraph.checkpoint.base import BaseCheckpointSaver, CheckpointTuple
+
+
+class ReplayState:
+    """Tracks which subgraphs have already loaded their pre-replay checkpoint.
+
+    During a parent replay, each subgraph's first invocation should restore the
+    checkpoint from before the replay point. Subsequent invocations of the same
+    subgraph (e.g. in a loop) should use normal checkpoint loading so they pick
+    up freshly created checkpoints.
+
+    The single `ReplayState` instance is shared by reference across all derived
+    configs within one parent execution.
+    """
+
+    __slots__ = ("checkpoint_id", "_visited_ns")
+
+    def __init__(self, checkpoint_id: str) -> None:
+        self.checkpoint_id = checkpoint_id
+        # DO NOT CHANGE THIS VARIABLE – it may need to be rehydrated
+        # in other runtimes
+        self._visited_ns: set[str] = set()
+
+    def _is_first_visit(self, checkpoint_ns: str) -> bool:
+        """Return True the first time a subgraph namespace is seen.
+
+        The task-id suffix is stripped so that the same logical subgraph
+        (e.g. ``"sub_node"``) is recognized across loop iterations even
+        though each iteration has a different task id.
+        """
+        # "sub_node:task_id" -> "sub_node"
+        stable_ns = (
+            checkpoint_ns.rsplit(NS_END, 1)[0]
+            if NS_END in checkpoint_ns
+            else checkpoint_ns
+        )
+        if stable_ns in self._visited_ns:
+            return False
+        self._visited_ns.add(stable_ns)
+        return True
+
+    def get_checkpoint(
+        self,
+        checkpoint_ns: str,
+        checkpointer: BaseCheckpointSaver,
+        checkpoint_config: RunnableConfig,
+    ) -> CheckpointTuple | None:
+        """Load the right checkpoint for a subgraph during replay.
+
+        On the first call for a given subgraph namespace, returns the latest
+        checkpoint created *before* the replay point. On subsequent calls
+        (e.g. the same subgraph in a later loop iteration), falls back to
+        normal latest-checkpoint loading.
+        """
+        if self._is_first_visit(checkpoint_ns):
+            for saved in checkpointer.list(
+                checkpoint_config,
+                before={"configurable": {"checkpoint_id": self.checkpoint_id}},
+                limit=1,
+            ):
+                return saved
+            return None
+        return checkpointer.get_tuple(checkpoint_config)
+
+    async def aget_checkpoint(
+        self,
+        checkpoint_ns: str,
+        checkpointer: BaseCheckpointSaver,
+        checkpoint_config: RunnableConfig,
+    ) -> CheckpointTuple | None:
+        """Async version of `get_checkpoint`."""
+        if self._is_first_visit(checkpoint_ns):
+            async for saved in checkpointer.alist(
+                checkpoint_config,
+                before={"configurable": {"checkpoint_id": self.checkpoint_id}},
+                limit=1,
+            ):
+                return saved
+            return None
+        return await checkpointer.aget_tuple(checkpoint_config)

libs/langgraph/langgraph/graph/state.py

@@ -6,6 +6,7 @@ import typing
 import warnings
 from collections import defaultdict
 from collections.abc import Awaitable, Callable, Hashable, Sequence
+from dataclasses import is_dataclass
 from functools import partial
 from inspect import isclass, isfunction, ismethod, signature
 from types import FunctionType
@@ -14,6 +15,7 @@ from typing import (
     Any,
     Generic,
     Literal,
+    TypeVar,
     Union,
     cast,
     get_args,
@@ -1164,6 +1166,20 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
         for key, node in self.nodes.items():
             compiled.attach_node(key, node)
 
+        # Record output/state mappers for v2 stream coercion (pydantic/dataclass only)
+        compiled._output_mapper = _pick_mapper(
+            list(output_channels)
+            if isinstance(output_channels, list)
+            else [output_channels],
+            self.output_schema,
+        )
+        compiled._state_mapper = _pick_mapper(
+            list(stream_channels)
+            if isinstance(stream_channels, list)
+            else [stream_channels],
+            self.state_schema,
+        )
+
         for start, end in self.edges:
             compiled.attach_edge(start, end)
 
@@ -1183,6 +1199,8 @@ class CompiledStateGraph(
 ):
     builder: StateGraph[StateT, ContextT, InputT, OutputT]
     schema_to_mapper: dict[type[Any], Callable[[Any], Any] | None]
+    _output_mapper: Callable[[Any], Any] | None
+    _state_mapper: Callable[[Any], Any] | None
 
     def __init__(
         self,
@@ -1504,12 +1522,15 @@ def _pick_mapper(
 ) -> Callable[[Any], Any] | None:
     if state_keys == ["__root__"]:
         return None
-    if isclass(schema) and issubclass(schema, dict):
-        return None
-    return partial(_coerce_state, schema)
+    if isclass(schema) and (issubclass(schema, BaseModel) or is_dataclass(schema)):
+        return partial(_coerce_state, schema)
+    return None
 
 
-def _coerce_state(schema: type[Any], input: dict[str, Any]) -> dict[str, Any]:
+_S = TypeVar("_S")
+
+
+def _coerce_state(schema: type[_S], input: dict[str, Any]) -> _S:
     return schema(**input)
 
 

libs/langgraph/langgraph/pregel/_loop.py

@@ -42,6 +42,7 @@ from langgraph._internal._constants import (
     CONFIG_KEY_CHECKPOINT_ID,
     CONFIG_KEY_CHECKPOINT_MAP,
     CONFIG_KEY_CHECKPOINT_NS,
+    CONFIG_KEY_REPLAY_STATE,
     CONFIG_KEY_RESUME_MAP,
     CONFIG_KEY_RESUMING,
     CONFIG_KEY_SCRATCHPAD,
@@ -58,6 +59,7 @@ from langgraph._internal._constants import (
     RESUME,
     TASKS,
 )
+from langgraph._internal._replay import ReplayState
 from langgraph._internal._scratchpad import PregelScratchpad
 from langgraph._internal._typing import EMPTY_SEQ, MISSING
 from langgraph.channels.base import BaseChannel
@@ -152,7 +154,7 @@ class PregelLoop:
     input_keys: str | Sequence[str]
     output_keys: str | Sequence[str]
     stream_keys: str | Sequence[str]
-    skip_done_tasks: bool
+    is_replaying: bool
     is_nested: bool
     manager: None | AsyncParentRunManager | ParentRunManager
     interrupt_after: All | Sequence[str]
@@ -244,7 +246,7 @@ class PregelLoop:
         self.interrupt_before = interrupt_before
         self.manager = manager
         self.is_nested = CONFIG_KEY_TASK_ID in self.config.get(CONF, {})
-        self.skip_done_tasks = CONFIG_KEY_CHECKPOINT_ID not in config[CONF]
+        self.is_replaying = CONFIG_KEY_CHECKPOINT_ID in config[CONF]
         self._migrate_checkpoint = migrate_checkpoint
         self.trigger_to_nodes = trigger_to_nodes
         self.retry_policy = retry_policy
@@ -451,7 +453,7 @@ class PregelLoop:
             # save the new task
             self.tasks[pushed.id] = pushed
             # match any pending writes to the new task
-            if self.skip_done_tasks:
+            if not self.is_replaying:
                 self._match_writes({pushed.id: pushed})
             # return the new task, to be started if not run before
             return pushed
@@ -515,7 +517,7 @@ class PregelLoop:
             return False
 
         # if there are pending writes from a previous loop, apply them
-        if self.skip_done_tasks and self.checkpoint_pending_writes:
+        if not self.is_replaying and self.checkpoint_pending_writes:
             self._match_writes(self.tasks)
 
         # before execution, check if we should interrupt
@@ -557,8 +559,8 @@ class PregelLoop:
             )
         # clear pending writes
         self.checkpoint_pending_writes.clear()
-        # "not skip_done_tasks" only applies to first tick after resuming
-        self.skip_done_tasks = True
+        # only replay (re-execute) done tasks on the first tick
+        self.is_replaying = False
         # save checkpoint
         self._put_checkpoint({"source": "loop"})
         # after execution, check if we should interrupt
@@ -618,15 +620,21 @@ class PregelLoop:
     def _first(
         self, *, input_keys: str | Sequence[str], updated_channels: set[str] | None
     ) -> set[str] | None:
-        # resuming from previous checkpoint requires
-        # - finding a previous checkpoint
-        # - receiving None input (outer graph) or RESUMING flag (subgraph)
+        # Resuming from a previous checkpoint requires two things:
+        # 1. A prior checkpoint exists (channel_versions is non-empty)
+        # 2. The input signals continuation (not a fresh run with new input)
+        # For subgraphs, the parent explicitly sets CONFIG_KEY_RESUMING.
+        # For the outer graph, we infer from the input:
+        #   - None input: resume after interrupt (invoke(None, config))
+        #   - Command input: any Command operates on existing state
+        #   - Same run_id: re-entry into an ongoing run (e.g. stream reconnect)
         configurable = self.config.get(CONF, {})
+        input_is_command = isinstance(self.input, Command)
         is_resuming = bool(self.checkpoint["channel_versions"]) and bool(
             configurable.get(
                 CONFIG_KEY_RESUMING,
                 self.input is None
-                or isinstance(self.input, Command)
+                or input_is_command
                 or (
                     not self.is_nested
                     and self.config.get("metadata", {}).get("run_id")
@@ -635,9 +643,36 @@ class PregelLoop:
             )
         )
 
+        # When replaying from a specific checkpoint, drop cached RESUME
+        # 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)
+            )
+        ):
+            self.checkpoint_pending_writes = [
+                w for w in self.checkpoint_pending_writes if w[1] != RESUME
+            ]
+
         # map command to writes
-        if isinstance(self.input, Command):
-            if (resume := self.input.resume) is not None:
+        if input_is_command:
+            if (resume := cast(Command, self.input).resume) is not None:
                 if not self.checkpointer:
                     raise RuntimeError(
                         "Cannot use Command(resume=...) without checkpointer"
@@ -657,7 +692,7 @@ class PregelLoop:
 
             writes: defaultdict[str, list[tuple[str, Any]]] = defaultdict(list)
             # group writes by task ID
-            for tid, c, v in map_command(cmd=self.input):
+            for tid, c, v in map_command(cmd=cast(Command, self.input)):
                 if not (c == RESUME and resume_is_map):
                     writes[tid].append((c, v))
             if not writes and not resume_is_map:
@@ -723,10 +758,30 @@ class PregelLoop:
             self._put_checkpoint({"source": "input"})
         elif CONFIG_KEY_RESUMING not in configurable:
             raise EmptyInputError(f"Received no input for {input_keys}")
-        # update config
+        # Propagate resuming and replaying flags to subgraphs.
         if not self.is_nested:
+            # Pass the resolved before-bound checkpoint ID so subgraphs can
+            # find their corresponding checkpoint without re-fetching the
+            # parent. For forks (source=update), use the fork's parent
+            # checkpoint ID since the fork was created after the subgraph's
+            # checkpoints from the original execution.
+            replay_state: ReplayState | None = None
+            if self.is_replaying:
+                replay_checkpoint_id = self.checkpoint["id"]
+                if (
+                    self.checkpoint_metadata.get("source") == "update"
+                    and self.prev_checkpoint_config
+                ):
+                    replay_checkpoint_id = self.prev_checkpoint_config[CONF].get(
+                        CONFIG_KEY_CHECKPOINT_ID, replay_checkpoint_id
+                    )
+                replay_state = ReplayState(replay_checkpoint_id)
             self.config = patch_configurable(
-                self.config, {CONFIG_KEY_RESUMING: is_resuming}
+                self.config,
+                {
+                    CONFIG_KEY_RESUMING: is_resuming,
+                    CONFIG_KEY_REPLAY_STATE: replay_state,
+                },
             )
         # set flag
         self.status = "pending"
@@ -1081,10 +1136,31 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
     # context manager
 
     def __enter__(self) -> Self:
-        if self.checkpointer:
-            saved = self.checkpointer.get_tuple(self.checkpoint_config)
-        else:
+        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.
+            saved = replay_state.get_checkpoint(
+                self.config[CONF].get(CONFIG_KEY_CHECKPOINT_NS, ""),
+                self.checkpointer,
+                self.checkpoint_config,
+            )
+            # Clear RESUMING so _first re-applies input instead of resuming.
+            # This recreates ephemeral routing channels so nodes trigger
+            # naturally via version comparison.
+            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.
+            saved = self.checkpointer.get_tuple(self.checkpoint_config)
+
         if saved is None:
             saved = CheckpointTuple(
                 self.checkpoint_config, empty_checkpoint(), {"step": -2}, None, []
@@ -1109,7 +1185,6 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
             if saved.pending_writes is not None
             else []
         )
-
         self.submit = self.stack.enter_context(BackgroundExecutor(self.config))
         self.channels, self.managed = channels_from_checkpoint(
             self.specs, self.checkpoint
@@ -1260,10 +1335,31 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
     # context manager
 
     async def __aenter__(self) -> Self:
-        if self.checkpointer:
-            saved = await self.checkpointer.aget_tuple(self.checkpoint_config)
-        else:
+        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.
+            saved = await replay_state.aget_checkpoint(
+                self.config[CONF].get(CONFIG_KEY_CHECKPOINT_NS, ""),
+                self.checkpointer,
+                self.checkpoint_config,
+            )
+            # Clear RESUMING so _first re-applies input instead of resuming.
+            # This recreates ephemeral routing channels so nodes trigger
+            # naturally via version comparison.
+            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.
+            saved = await self.checkpointer.aget_tuple(self.checkpoint_config)
+
         if saved is None:
             saved = CheckpointTuple(
                 self.checkpoint_config, empty_checkpoint(), {"step": -2}, None, []
@@ -1288,7 +1384,6 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
             if saved.pending_writes is not None
             else []
         )
-
         self.submit = await self.stack.enter_async_context(
             AsyncBackgroundExecutor(self.config)
         )

libs/langgraph/langgraph/pregel/_retry.py

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

libs/langgraph/langgraph/pregel/debug.py

@@ -7,7 +7,6 @@ from uuid import UUID
 
 from langchain_core.runnables import RunnableConfig
 from langgraph.checkpoint.base import CheckpointMetadata, PendingWrite
-from typing_extensions import TypedDict
 
 from langgraph._internal._config import patch_checkpoint_map
 from langgraph._internal._constants import (
@@ -23,42 +22,14 @@ from langgraph._internal._typing import MISSING
 from langgraph.channels.base import BaseChannel
 from langgraph.constants import TAG_HIDDEN
 from langgraph.pregel._io import read_channels
-from langgraph.types import PregelExecutableTask, PregelTask, StateSnapshot
-
-__all__ = ("TaskPayload", "TaskResultPayload", "CheckpointTask", "CheckpointPayload")
-
-
-class TaskPayload(TypedDict):
-    id: str
-    name: str
-    input: Any
-    triggers: list[str]
-
-
-class TaskResultPayload(TypedDict):
-    id: str
-    name: str
-    error: str | None
-    interrupts: list[dict]
-    result: dict[str, Any]
-
-
-class CheckpointTask(TypedDict):
-    id: str
-    name: str
-    error: str | None
-    interrupts: list[dict]
-    state: StateSnapshot | RunnableConfig | None
-
-
-class CheckpointPayload(TypedDict):
-    config: RunnableConfig | None
-    metadata: CheckpointMetadata
-    values: dict[str, Any]
-    next: list[str]
-    parent_config: RunnableConfig | None
-    tasks: list[CheckpointTask]
-
+from langgraph.types import (
+    CheckpointPayload,
+    PregelExecutableTask,
+    PregelTask,
+    StateSnapshot,
+    TaskPayload,
+    TaskResultPayload,
+)
 
 TASK_NAMESPACE = UUID("6ba7b831-9dad-11d1-80b4-00c04fd430c8")
 

libs/langgraph/langgraph/pregel/main.py

@@ -22,8 +22,10 @@ from inspect import isclass
 from typing import (
     Any,
     Generic,
+    Literal,
     cast,
     get_type_hints,
+    overload,
 )
 from uuid import UUID, uuid5
 
@@ -121,7 +123,10 @@ from langgraph.pregel._checkpoint import (
 )
 from langgraph.pregel._draw import draw_graph
 from langgraph.pregel._io import map_input, read_channels
-from langgraph.pregel._loop import AsyncPregelLoop, SyncPregelLoop
+from langgraph.pregel._loop import (
+    AsyncPregelLoop,
+    SyncPregelLoop,
+)
 from langgraph.pregel._messages import StreamMessagesHandler
 from langgraph.pregel._read import DEFAULT_BOUND, PregelNode
 from langgraph.pregel._retry import RetryPolicy
@@ -131,18 +136,20 @@ from langgraph.pregel._validate import validate_graph, validate_keys
 from langgraph.pregel._write import ChannelWrite, ChannelWriteEntry
 from langgraph.pregel.debug import get_bolded_text, get_colored_text, tasks_w_writes
 from langgraph.pregel.protocol import PregelProtocol, StreamChunk, StreamProtocol
-from langgraph.runtime import DEFAULT_RUNTIME, Runtime
+from langgraph.runtime import DEFAULT_RUNTIME, ExecutionInfo, Runtime
 from langgraph.types import (
     All,
     CachePolicy,
     Checkpointer,
     Command,
     Durability,
+    GraphOutput,
     Interrupt,
     Send,
     StateSnapshot,
     StateUpdate,
     StreamMode,
+    StreamPart,
     ensure_valid_checkpointer,
 )
 from langgraph.typing import ContextT, InputT, OutputT, StateT
@@ -993,6 +1000,11 @@ class Pregel(
         for name, node in self.get_subgraphs(namespace=namespace, recurse=recurse):
             yield name, node
 
+    # Mappers for v2 stream coercion (pydantic/dataclass).
+    # Set by CompiledStateGraph; None for base Pregel.
+    _output_mapper: Callable[[Any], Any] | None = None
+    _state_mapper: Callable[[Any], Any] | None = None
+
     def _migrate_checkpoint(self, checkpoint: Checkpoint) -> None:
         """Migrate a saved checkpoint to new channel layout."""
         if checkpoint["v"] < 4 and checkpoint.get("pending_sends"):
@@ -2427,6 +2439,7 @@ class Pregel(
             durability,
         )
 
+    @overload
     def stream(
         self,
         input: InputT | Command | None,
@@ -2441,6 +2454,44 @@ class Pregel(
         durability: Durability | None = None,
         subgraphs: bool = False,
         debug: bool | None = None,
+        version: Literal["v2"],
+        **kwargs: Unpack[DeprecatedKwargs],
+    ) -> Iterator[StreamPart[StateT, OutputT]]: ...
+
+    @overload
+    def stream(
+        self,
+        input: InputT | Command | None,
+        config: RunnableConfig | None = None,
+        *,
+        context: ContextT | None = None,
+        stream_mode: StreamMode | Sequence[StreamMode] | None = None,
+        print_mode: StreamMode | Sequence[StreamMode] = (),
+        output_keys: str | Sequence[str] | None = None,
+        interrupt_before: All | Sequence[str] | None = None,
+        interrupt_after: All | Sequence[str] | None = None,
+        durability: Durability | None = None,
+        subgraphs: bool = False,
+        debug: bool | None = None,
+        version: Literal["v1"] = ...,
+        **kwargs: Unpack[DeprecatedKwargs],
+    ) -> Iterator[dict[str, Any] | Any]: ...
+
+    def stream(
+        self,
+        input: InputT | Command | None,
+        config: RunnableConfig | None = None,
+        *,
+        context: ContextT | None = None,
+        stream_mode: StreamMode | Sequence[StreamMode] | None = None,
+        print_mode: StreamMode | Sequence[StreamMode] = (),
+        output_keys: str | Sequence[str] | None = None,
+        interrupt_before: All | Sequence[str] | None = None,
+        interrupt_after: All | Sequence[str] | None = None,
+        durability: Durability | None = None,
+        subgraphs: bool = False,
+        debug: bool | None = None,
+        version: Literal["v1", "v2"] = "v1",
         **kwargs: Unpack[DeprecatedKwargs],
     ) -> Iterator[dict[str, Any] | Any]:
         """Stream graph steps for a single input.
@@ -2597,11 +2648,16 @@ 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)
             config[CONF][CONFIG_KEY_RUNTIME] = runtime
 
+            # resolve mappers for v2 stream coercion
+            _output_mapper = self._output_mapper if version == "v2" else None
+            _state_mapper = self._state_mapper if version == "v2" else None
+
             with SyncPregelLoop(
                 input,
                 stream=StreamProtocol(stream.put, stream_modes),
@@ -2674,7 +2730,14 @@ class Pregel(
                     ):
                         # emit output
                         yield from _output(
-                            stream_mode, print_mode, subgraphs, stream.get, queue.Empty
+                            stream_mode,
+                            print_mode,
+                            subgraphs,
+                            stream.get,
+                            queue.Empty,
+                            version,
+                            _output_mapper,
+                            _state_mapper,
                         )
                     loop.after_tick()
                     # wait for checkpoint
@@ -2682,7 +2745,14 @@ class Pregel(
                         loop._put_checkpoint_fut.result()
             # emit output
             yield from _output(
-                stream_mode, print_mode, subgraphs, stream.get, queue.Empty
+                stream_mode,
+                print_mode,
+                subgraphs,
+                stream.get,
+                queue.Empty,
+                version,
+                _output_mapper,
+                _state_mapper,
             )
             # handle exit
             if loop.status == "out_of_steps":
@@ -2701,6 +2771,44 @@ class Pregel(
             run_manager.on_chain_error(e)
             raise
 
+    @overload
+    def astream(
+        self,
+        input: InputT | Command | None,
+        config: RunnableConfig | None = None,
+        *,
+        context: ContextT | None = None,
+        stream_mode: StreamMode | Sequence[StreamMode] | None = None,
+        print_mode: StreamMode | Sequence[StreamMode] = (),
+        output_keys: str | Sequence[str] | None = None,
+        interrupt_before: All | Sequence[str] | None = None,
+        interrupt_after: All | Sequence[str] | None = None,
+        durability: Durability | None = None,
+        subgraphs: bool = False,
+        debug: bool | None = None,
+        version: Literal["v2"],
+        **kwargs: Unpack[DeprecatedKwargs],
+    ) -> AsyncIterator[StreamPart[StateT, OutputT]]: ...
+
+    @overload
+    def astream(
+        self,
+        input: InputT | Command | None,
+        config: RunnableConfig | None = None,
+        *,
+        context: ContextT | None = None,
+        stream_mode: StreamMode | Sequence[StreamMode] | None = None,
+        print_mode: StreamMode | Sequence[StreamMode] = (),
+        output_keys: str | Sequence[str] | None = None,
+        interrupt_before: All | Sequence[str] | None = None,
+        interrupt_after: All | Sequence[str] | None = None,
+        durability: Durability | None = None,
+        subgraphs: bool = False,
+        debug: bool | None = None,
+        version: Literal["v1"] = ...,
+        **kwargs: Unpack[DeprecatedKwargs],
+    ) -> AsyncIterator[dict[str, Any] | Any]: ...
+
     async def astream(
         self,
         input: InputT | Command | None,
@@ -2715,6 +2823,7 @@ class Pregel(
         durability: Durability | None = None,
         subgraphs: bool = False,
         debug: bool | None = None,
+        version: Literal["v1", "v2"] = "v1",
         **kwargs: Unpack[DeprecatedKwargs],
     ) -> AsyncIterator[dict[str, Any] | Any]:
         """Asynchronously stream graph steps for a single input.
@@ -2906,11 +3015,16 @@ 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)
             config[CONF][CONFIG_KEY_RUNTIME] = runtime
 
+            # resolve mappers for v2 stream coercion
+            _output_mapper = self._output_mapper if version == "v2" else None
+            _state_mapper = self._state_mapper if version == "v2" else None
+
             async with AsyncPregelLoop(
                 input,
                 stream=StreamProtocol(stream.put_nowait, stream_modes),
@@ -3007,6 +3121,9 @@ class Pregel(
                                 subgraphs,
                                 stream.get_nowait,
                                 asyncio.QueueEmpty,
+                                version,
+                                _output_mapper,
+                                _state_mapper,
                             ):
                                 yield o
                         loop.after_tick()
@@ -3025,6 +3142,9 @@ class Pregel(
                 subgraphs,
                 stream.get_nowait,
                 asyncio.QueueEmpty,
+                version,
+                _output_mapper,
+                _state_mapper,
             ):
                 yield o
             # handle exit
@@ -3044,6 +3164,41 @@ class Pregel(
             await asyncio.shield(run_manager.on_chain_error(e))
             raise
 
+    @overload
+    def invoke(
+        self,
+        input: InputT | Command | None,
+        config: RunnableConfig | None = None,
+        *,
+        context: ContextT | None = None,
+        stream_mode: Literal["values"] = ...,
+        print_mode: StreamMode | Sequence[StreamMode] = (),
+        output_keys: str | Sequence[str] | None = None,
+        interrupt_before: All | Sequence[str] | None = None,
+        interrupt_after: All | Sequence[str] | None = None,
+        durability: Durability | None = None,
+        version: Literal["v2"],
+        **kwargs: Any,
+    ) -> GraphOutput[OutputT]: ...
+
+    @overload
+    def invoke(
+        self,
+        input: InputT | Command | None,
+        config: RunnableConfig | None = None,
+        *,
+        context: ContextT | None = None,
+        stream_mode: StreamMode,
+        print_mode: StreamMode | Sequence[StreamMode] = (),
+        output_keys: str | Sequence[str] | None = None,
+        interrupt_before: All | Sequence[str] | None = None,
+        interrupt_after: All | Sequence[str] | None = None,
+        durability: Durability | None = None,
+        version: Literal["v2"],
+        **kwargs: Any,
+    ) -> list[StreamPart[StateT, OutputT]]: ...
+
+    @overload
     def invoke(
         self,
         input: InputT | Command | None,
@@ -3056,6 +3211,23 @@ class Pregel(
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
         durability: Durability | None = None,
+        version: Literal["v1"] = ...,
+        **kwargs: Any,
+    ) -> dict[str, Any] | Any: ...
+
+    def invoke(
+        self,
+        input: InputT | Command | None,
+        config: RunnableConfig | None = None,
+        *,
+        context: ContextT | None = None,
+        stream_mode: StreamMode = "values",
+        print_mode: StreamMode | Sequence[StreamMode] = (),
+        output_keys: str | Sequence[str] | None = None,
+        interrupt_before: All | Sequence[str] | None = None,
+        interrupt_after: All | Sequence[str] | None = None,
+        durability: Durability | None = None,
+        version: Literal["v1", "v2"] = "v1",
         **kwargs: Any,
     ) -> dict[str, Any] | Any:
         """Run the graph with a single input and config.
@@ -3079,6 +3251,9 @@ class Pregel(
                 - `"sync"`: Changes are persisted synchronously before the next step starts.
                 - `"async"`: Changes are persisted asynchronously while the next step executes.
                 - `"exit"`: Changes are persisted only when the graph exits.
+            version: The streaming format version. `"v1"` (default) returns the
+                traditional format, `"v2"` returns `StreamPart` typed dicts when
+                `stream_mode` is not `"values"`.
             **kwargs: Additional keyword arguments to pass to the graph run.
 
         Returns:
@@ -3091,39 +3266,64 @@ class Pregel(
         chunks: list[dict[str, Any] | Any] = []
         interrupts: list[Interrupt] = []
 
-        for chunk in self.stream(
-            input,
-            config,
-            context=context,
-            stream_mode=["updates", "values"]
-            if stream_mode == "values"
-            else stream_mode,
-            print_mode=print_mode,
-            output_keys=output_keys,
-            interrupt_before=interrupt_before,
-            interrupt_after=interrupt_after,
-            durability=durability,
-            **kwargs,
-        ):
-            if stream_mode == "values":
-                if len(chunk) == 2:
-                    mode, payload = cast(tuple[StreamMode, Any], chunk)
+        if version == "v2":
+            # v2: values stream parts carry interrupts directly
+            for chunk in self.stream(
+                input,
+                config,
+                context=context,
+                stream_mode="values" if stream_mode == "values" else stream_mode,
+                print_mode=print_mode,
+                output_keys=output_keys,
+                interrupt_before=interrupt_before,
+                interrupt_after=interrupt_after,
+                durability=durability,
+                version=version,
+                **kwargs,
+            ):
+                if stream_mode == "values":
+                    latest = chunk["data"]
+                    if chunk_ints := chunk.get("interrupts", ()):
+                        interrupts.extend(chunk_ints)  # type: ignore[arg-type]
                 else:
-                    _, mode, payload = cast(
-                        tuple[tuple[str, ...], StreamMode, Any], chunk
-                    )
-                if (
-                    mode == "updates"
-                    and isinstance(payload, dict)
-                    and (ints := payload.get(INTERRUPT)) is not None
-                ):
-                    interrupts.extend(ints)
-                elif mode == "values":
-                    latest = payload
-            else:
-                chunks.append(chunk)
+                    chunks.append(chunk)
+        else:
+            # v1: collect interrupts from updates stream
+            for chunk in self.stream(
+                input,
+                config,
+                context=context,
+                stream_mode=(
+                    ["updates", "values"] if stream_mode == "values" else stream_mode
+                ),
+                print_mode=print_mode,
+                output_keys=output_keys,
+                interrupt_before=interrupt_before,
+                interrupt_after=interrupt_after,
+                durability=durability,
+                **kwargs,
+            ):
+                if stream_mode == "values":
+                    if len(chunk) == 2:
+                        mode, payload = cast(tuple[StreamMode, Any], chunk)
+                    else:
+                        _, mode, payload = cast(
+                            tuple[tuple[str, ...], StreamMode, Any], chunk
+                        )
+                    if (
+                        mode == "updates"
+                        and isinstance(payload, dict)
+                        and (ints := payload.get(INTERRUPT)) is not None
+                    ):
+                        interrupts.extend(ints)
+                    elif mode == "values":
+                        latest = payload
+                else:
+                    chunks.append(chunk)
 
         if stream_mode == "values":
+            if version == "v2":
+                return GraphOutput(value=latest, interrupts=tuple(interrupts))
             if interrupts:
                 return (
                     {**latest, INTERRUPT: interrupts}
@@ -3134,6 +3334,57 @@ class Pregel(
         else:
             return chunks
 
+    @overload
+    async def ainvoke(
+        self,
+        input: InputT | Command | None,
+        config: RunnableConfig | None = None,
+        *,
+        context: ContextT | None = None,
+        stream_mode: Literal["values"] = ...,
+        print_mode: StreamMode | Sequence[StreamMode] = (),
+        output_keys: str | Sequence[str] | None = None,
+        interrupt_before: All | Sequence[str] | None = None,
+        interrupt_after: All | Sequence[str] | None = None,
+        durability: Durability | None = None,
+        version: Literal["v2"],
+        **kwargs: Any,
+    ) -> GraphOutput[OutputT]: ...
+
+    @overload
+    async def ainvoke(
+        self,
+        input: InputT | Command | None,
+        config: RunnableConfig | None = None,
+        *,
+        context: ContextT | None = None,
+        stream_mode: StreamMode,
+        print_mode: StreamMode | Sequence[StreamMode] = (),
+        output_keys: str | Sequence[str] | None = None,
+        interrupt_before: All | Sequence[str] | None = None,
+        interrupt_after: All | Sequence[str] | None = None,
+        durability: Durability | None = None,
+        version: Literal["v2"],
+        **kwargs: Any,
+    ) -> list[StreamPart[StateT, OutputT]]: ...
+
+    @overload
+    async def ainvoke(
+        self,
+        input: InputT | Command | None,
+        config: RunnableConfig | None = None,
+        *,
+        context: ContextT | None = None,
+        stream_mode: StreamMode = "values",
+        print_mode: StreamMode | Sequence[StreamMode] = (),
+        output_keys: str | Sequence[str] | None = None,
+        interrupt_before: All | Sequence[str] | None = None,
+        interrupt_after: All | Sequence[str] | None = None,
+        durability: Durability | None = None,
+        version: Literal["v1"] = ...,
+        **kwargs: Any,
+    ) -> dict[str, Any] | Any: ...
+
     async def ainvoke(
         self,
         input: InputT | Command | None,
@@ -3146,6 +3397,7 @@ class Pregel(
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
         durability: Durability | None = None,
+        version: Literal["v1", "v2"] = "v1",
         **kwargs: Any,
     ) -> dict[str, Any] | Any:
         """Asynchronously run the graph with a single input and config.
@@ -3169,6 +3421,9 @@ class Pregel(
                 - `"sync"`: Changes are persisted synchronously before the next step starts.
                 - `"async"`: Changes are persisted asynchronously while the next step executes.
                 - `"exit"`: Changes are persisted only when the graph exits.
+            version: The streaming format version. `"v1"` (default) returns the
+                traditional format, `"v2"` returns `StreamPart` typed dicts when
+                `stream_mode` is not `"values"`.
             **kwargs: Additional keyword arguments to pass to the graph run.
 
         Returns:
@@ -3181,39 +3436,64 @@ class Pregel(
         chunks: list[dict[str, Any] | Any] = []
         interrupts: list[Interrupt] = []
 
-        async for chunk in self.astream(
-            input,
-            config,
-            context=context,
-            stream_mode=["updates", "values"]
-            if stream_mode == "values"
-            else stream_mode,
-            print_mode=print_mode,
-            output_keys=output_keys,
-            interrupt_before=interrupt_before,
-            interrupt_after=interrupt_after,
-            durability=durability,
-            **kwargs,
-        ):
-            if stream_mode == "values":
-                if len(chunk) == 2:
-                    mode, payload = cast(tuple[StreamMode, Any], chunk)
+        if version == "v2":
+            # v2: values stream parts carry interrupts directly
+            async for chunk in self.astream(
+                input,
+                config,
+                context=context,
+                stream_mode="values" if stream_mode == "values" else stream_mode,
+                print_mode=print_mode,
+                output_keys=output_keys,
+                interrupt_before=interrupt_before,
+                interrupt_after=interrupt_after,
+                durability=durability,
+                version=version,
+                **kwargs,
+            ):
+                if stream_mode == "values":
+                    latest = chunk["data"]
+                    if chunk_ints := chunk.get("interrupts", ()):
+                        interrupts.extend(chunk_ints)  # type: ignore[arg-type]
                 else:
-                    _, mode, payload = cast(
-                        tuple[tuple[str, ...], StreamMode, Any], chunk
-                    )
-                if (
-                    mode == "updates"
-                    and isinstance(payload, dict)
-                    and (ints := payload.get(INTERRUPT)) is not None
-                ):
-                    interrupts.extend(ints)
-                elif mode == "values":
-                    latest = payload
-            else:
-                chunks.append(chunk)
+                    chunks.append(chunk)
+        else:
+            # v1: collect interrupts from updates stream
+            async for chunk in self.astream(
+                input,
+                config,
+                context=context,
+                stream_mode=(
+                    ["updates", "values"] if stream_mode == "values" else stream_mode
+                ),
+                print_mode=print_mode,
+                output_keys=output_keys,
+                interrupt_before=interrupt_before,
+                interrupt_after=interrupt_after,
+                durability=durability,
+                **kwargs,
+            ):
+                if stream_mode == "values":
+                    if len(chunk) == 2:
+                        mode, payload = cast(tuple[StreamMode, Any], chunk)
+                    else:
+                        _, mode, payload = cast(
+                            tuple[tuple[str, ...], StreamMode, Any], chunk
+                        )
+                    if (
+                        mode == "updates"
+                        and isinstance(payload, dict)
+                        and (ints := payload.get(INTERRUPT)) is not None
+                    ):
+                        interrupts.extend(ints)
+                    elif mode == "values":
+                        latest = payload
+                else:
+                    chunks.append(chunk)
 
         if stream_mode == "values":
+            if version == "v2":
+                return GraphOutput(value=latest, interrupts=tuple(interrupts))
             if interrupts:
                 return (
                     {**latest, INTERRUPT: interrupts}
@@ -3278,6 +3558,9 @@ def _output(
     stream_subgraphs: bool,
     getter: Callable[[], tuple[tuple[str, ...], str, Any]],
     empty_exc: type[Exception],
+    version: Literal["v1", "v2"] = "v1",
+    output_mapper: Callable[[Any], Any] | None = None,
+    state_mapper: Callable[[Any], Any] | None = None,
 ) -> Iterator:
     while True:
         try:
@@ -3305,7 +3588,23 @@ def _output(
                     )
                 )
         if mode in stream_mode:
-            if stream_subgraphs and isinstance(stream_mode, list):
+            if version == "v2":
+                if mode == "values":
+                    # pop __interrupt__ into typed field, coerce data
+                    ints: tuple[Interrupt, ...] = ()
+                    if isinstance(payload, dict):
+                        ints = payload.pop(INTERRUPT, ())
+                        if output_mapper:
+                            payload = output_mapper(payload)
+                    yield {"type": mode, "ns": ns, "data": payload, "interrupts": ints}
+                elif mode in ("checkpoints", "debug"):
+                    # coerce state values in checkpoint/debug payloads
+                    if state_mapper:
+                        _coerce_checkpoint_values(payload, state_mapper)
+                    yield {"type": mode, "ns": ns, "data": payload}
+                else:
+                    yield {"type": mode, "ns": ns, "data": payload}
+            elif stream_subgraphs and isinstance(stream_mode, list):
                 yield (ns, mode, payload)
             elif isinstance(stream_mode, list):
                 yield (mode, payload)
@@ -3315,6 +3614,31 @@ def _output(
                 yield payload
 
 
+def _coerce_checkpoint_values(payload: Any, mapper: Callable[[Any], Any]) -> None:
+    """Coerce `values` dicts inside checkpoint or debug payloads in-place.
+
+    Skips the initial checkpoint (where next contains ``__start__``) because
+    not all channels are populated yet and coercion would fail.
+    """
+    _START = "__start__"
+    # debug wrapper: {"type": "checkpoint", "payload": {"values": dict, ...}}
+    if (
+        isinstance(payload, dict)
+        and payload.get("type") == "checkpoint"
+        and isinstance(payload.get("payload"), dict)
+        and isinstance(payload["payload"].get("values"), dict)
+        and _START not in payload["payload"].get("next", ())
+    ):
+        payload["payload"]["values"] = mapper(payload["payload"]["values"])
+    # direct checkpoint payload: {"values": dict, ...}
+    elif (
+        isinstance(payload, dict)
+        and isinstance(payload.get("values"), dict)
+        and _START not in payload.get("next", ())
+    ):
+        payload["values"] = mapper(payload["values"])
+
+
 def _coerce_context(
     context_schema: type[ContextT] | None, context: Any
 ) -> ContextT | None:

libs/langgraph/langgraph/pregel/protocol.py

@@ -2,13 +2,21 @@ from __future__ import annotations
 
 from abc import abstractmethod
 from collections.abc import AsyncIterator, Callable, Iterator, Sequence
-from typing import Any, Generic, cast
+from typing import Any, Generic, Literal, cast, overload
 
 from langchain_core.runnables import Runnable, RunnableConfig
 from langchain_core.runnables.graph import Graph as DrawableGraph
 from typing_extensions import Self
 
-from langgraph.types import All, Command, StateSnapshot, StateUpdate, StreamMode
+from langgraph.types import (
+    All,
+    Command,
+    GraphOutput,
+    StateSnapshot,
+    StateUpdate,
+    StreamMode,
+    StreamPart,
+)
 from langgraph.typing import ContextT, InputT, OutputT, StateT
 
 __all__ = ("PregelProtocol", "StreamProtocol")
@@ -96,6 +104,7 @@ class PregelProtocol(Runnable[InputT, Any], Generic[StateT, ContextT, InputT, Ou
         as_node: str | None = None,
     ) -> RunnableConfig: ...
 
+    @overload
     @abstractmethod
     def stream(
         self,
@@ -107,8 +116,68 @@ class PregelProtocol(Runnable[InputT, Any], Generic[StateT, ContextT, InputT, Ou
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
         subgraphs: bool = False,
+        version: Literal["v2"],
+    ) -> Iterator[StreamPart[StateT, OutputT]]: ...
+
+    @overload
+    @abstractmethod
+    def stream(
+        self,
+        input: InputT | Command | None,
+        config: RunnableConfig | None = None,
+        *,
+        context: ContextT | None = None,
+        stream_mode: StreamMode | list[StreamMode] | None = None,
+        interrupt_before: All | Sequence[str] | None = None,
+        interrupt_after: All | Sequence[str] | None = None,
+        subgraphs: bool = False,
+        version: Literal["v1"] = ...,
     ) -> Iterator[dict[str, Any] | Any]: ...
 
+    @abstractmethod
+    def stream(
+        self,
+        input: InputT | Command | None,
+        config: RunnableConfig | None = None,
+        *,
+        context: ContextT | None = None,
+        stream_mode: StreamMode | list[StreamMode] | None = None,
+        interrupt_before: All | Sequence[str] | None = None,
+        interrupt_after: All | Sequence[str] | None = None,
+        subgraphs: bool = False,
+        version: Literal["v1", "v2"] = "v1",
+    ) -> Iterator[dict[str, Any] | Any]: ...
+
+    @overload
+    @abstractmethod
+    def astream(
+        self,
+        input: InputT | Command | None,
+        config: RunnableConfig | None = None,
+        *,
+        context: ContextT | None = None,
+        stream_mode: StreamMode | list[StreamMode] | None = None,
+        interrupt_before: All | Sequence[str] | None = None,
+        interrupt_after: All | Sequence[str] | None = None,
+        subgraphs: bool = False,
+        version: Literal["v2"],
+    ) -> AsyncIterator[StreamPart[StateT, OutputT]]: ...
+
+    @overload
+    @abstractmethod
+    def astream(
+        self,
+        input: InputT | Command | None,
+        config: RunnableConfig | None = None,
+        *,
+        context: ContextT | None = None,
+        stream_mode: StreamMode | list[StreamMode] | None = None,
+        interrupt_before: All | Sequence[str] | None = None,
+        interrupt_after: All | Sequence[str] | None = None,
+        subgraphs: bool = False,
+        version: Literal["v1"] = ...,
+    ) -> AsyncIterator[dict[str, Any] | Any]: ...
+
     @abstractmethod
     def astream(
         self,
@@ -120,8 +189,35 @@ class PregelProtocol(Runnable[InputT, Any], Generic[StateT, ContextT, InputT, Ou
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
         subgraphs: bool = False,
+        version: Literal["v1", "v2"] = "v1",
     ) -> AsyncIterator[dict[str, Any] | Any]: ...
 
+    @overload
+    @abstractmethod
+    def invoke(
+        self,
+        input: InputT | Command | None,
+        config: RunnableConfig | None = None,
+        *,
+        context: ContextT | None = None,
+        interrupt_before: All | Sequence[str] | None = None,
+        interrupt_after: All | Sequence[str] | None = None,
+        version: Literal["v2"],
+    ) -> GraphOutput[OutputT]: ...
+
+    @overload
+    @abstractmethod
+    def invoke(
+        self,
+        input: InputT | Command | None,
+        config: RunnableConfig | None = None,
+        *,
+        context: ContextT | None = None,
+        interrupt_before: All | Sequence[str] | None = None,
+        interrupt_after: All | Sequence[str] | None = None,
+        version: Literal["v1"] = ...,
+    ) -> dict[str, Any] | Any: ...
+
     @abstractmethod
     def invoke(
         self,
@@ -131,6 +227,33 @@ class PregelProtocol(Runnable[InputT, Any], Generic[StateT, ContextT, InputT, Ou
         context: ContextT | None = None,
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
+        version: Literal["v1", "v2"] = "v1",
+    ) -> dict[str, Any] | Any: ...
+
+    @overload
+    @abstractmethod
+    async def ainvoke(
+        self,
+        input: InputT | Command | None,
+        config: RunnableConfig | None = None,
+        *,
+        context: ContextT | None = None,
+        interrupt_before: All | Sequence[str] | None = None,
+        interrupt_after: All | Sequence[str] | None = None,
+        version: Literal["v2"],
+    ) -> GraphOutput[OutputT]: ...
+
+    @overload
+    @abstractmethod
+    async def ainvoke(
+        self,
+        input: InputT | Command | None,
+        config: RunnableConfig | None = None,
+        *,
+        context: ContextT | None = None,
+        interrupt_before: All | Sequence[str] | None = None,
+        interrupt_after: All | Sequence[str] | None = None,
+        version: Literal["v1"] = ...,
     ) -> dict[str, Any] | Any: ...
 
     @abstractmethod
@@ -142,6 +265,7 @@ class PregelProtocol(Runnable[InputT, Any], Generic[StateT, ContextT, InputT, Ou
         context: ContextT | None = None,
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
+        version: Literal["v1", "v2"] = "v1",
     ) -> dict[str, Any] | Any: ...
 
 

libs/langgraph/langgraph/pregel/remote.py

@@ -7,6 +7,7 @@ from typing import (
     Any,
     Literal,
     cast,
+    overload,
 )
 from uuid import UUID
 
@@ -30,6 +31,7 @@ from langgraph_sdk.client import (
 )
 from langgraph_sdk.schema import (
     Checkpoint,
+    Context,
     QueryParamTypes,
     ThreadState,
 )
@@ -57,10 +59,12 @@ from langgraph.pregel.protocol import PregelProtocol, StreamProtocol
 from langgraph.types import (
     All,
     Command,
+    GraphOutput,
     Interrupt,
     PregelTask,
     StateSnapshot,
     StreamMode,
+    StreamPart,
 )
 
 logger = logging.getLogger(__name__)
@@ -682,23 +686,59 @@ class RemoteGraph(PregelProtocol):
             updated_stream_modes.remove("events")
         return (updated_stream_modes, requested_stream_modes, req_single, stream)
 
+    @overload
     def stream(
         self,
         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,
         subgraphs: bool = False,
         headers: dict[str, str] | None = None,
         params: QueryParamTypes | None = None,
+        version: Literal["v2"],
+        **kwargs: Any,
+    ) -> Iterator[StreamPart]: ...
+
+    @overload
+    def stream(
+        self,
+        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,
+        subgraphs: bool = False,
+        headers: dict[str, str] | None = None,
+        params: QueryParamTypes | None = None,
+        version: Literal["v1"] = ...,
+        **kwargs: Any,
+    ) -> Iterator[dict[str, Any] | Any]: ...
+
+    def stream(
+        self,
+        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,
+        subgraphs: bool = False,
+        headers: dict[str, str] | None = None,
+        params: QueryParamTypes | None = None,
+        version: Literal["v1", "v2"] = "v1",
         **kwargs: Any,
     ) -> Iterator[dict[str, Any] | Any]:
         """Create a run and stream the results.
 
         This method calls `POST /threads/{thread_id}/runs/stream` if a `thread_id`
-        is speciffed in the `configurable` field of the config or
+        is specified in the `configurable` field of the config or
         `POST /runs/stream` otherwise.
 
         Args:
@@ -733,6 +773,7 @@ class RemoteGraph(PregelProtocol):
             input=input,
             command=command,
             config=sanitized_config,
+            context=context,
             stream_mode=stream_modes,
             interrupt_before=interrupt_before,
             interrupt_after=interrupt_after,
@@ -774,10 +815,18 @@ class RemoteGraph(PregelProtocol):
                 continue
 
             if chunk.event.startswith("messages"):
-                chunk = chunk._replace(data=tuple(chunk.data))  # type: ignore
+                chunk = chunk._replace(data=tuple(chunk.data))
 
             # emit chunk
-            if subgraphs:
+            if version == "v2":
+                ints: tuple[Interrupt, ...] = ()
+                if mode == "values" and isinstance(chunk.data, dict):
+                    ints = tuple(
+                        Interrupt(**i) if isinstance(i, dict) else i
+                        for i in chunk.data.pop(INTERRUPT, ())
+                    )
+                yield {"type": mode, "ns": ns, "data": chunk.data, "interrupts": ints}
+            elif subgraphs:
                 if NS_SEP in chunk.event:
                     mode, ns_ = chunk.event.split(NS_SEP, 1)
                     ns = tuple(ns_.split(NS_SEP))
@@ -792,23 +841,59 @@ class RemoteGraph(PregelProtocol):
             else:
                 yield chunk
 
-    async def astream(
+    @overload
+    def astream(
         self,
         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,
         subgraphs: bool = False,
         headers: dict[str, str] | None = None,
         params: QueryParamTypes | None = None,
+        version: Literal["v2"],
+        **kwargs: Any,
+    ) -> AsyncIterator[StreamPart]: ...
+
+    @overload
+    def astream(
+        self,
+        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,
+        subgraphs: bool = False,
+        headers: dict[str, str] | None = None,
+        params: QueryParamTypes | None = None,
+        version: Literal["v1"] = ...,
+        **kwargs: Any,
+    ) -> AsyncIterator[dict[str, Any] | Any]: ...
+
+    async def astream(
+        self,
+        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,
+        subgraphs: bool = False,
+        headers: dict[str, str] | None = None,
+        params: QueryParamTypes | None = None,
+        version: Literal["v1", "v2"] = "v1",
         **kwargs: Any,
     ) -> AsyncIterator[dict[str, Any] | Any]:
         """Create a run and stream the results.
 
         This method calls `POST /threads/{thread_id}/runs/stream` if a `thread_id`
-        is speciffed in the `configurable` field of the config or
+        is specified in the `configurable` field of the config or
         `POST /runs/stream` otherwise.
 
         Args:
@@ -843,6 +928,7 @@ class RemoteGraph(PregelProtocol):
             input=input,
             command=command,
             config=sanitized_config,
+            context=context,
             stream_mode=stream_modes,
             interrupt_before=interrupt_before,
             interrupt_after=interrupt_after,
@@ -884,10 +970,18 @@ class RemoteGraph(PregelProtocol):
                 continue
 
             if chunk.event.startswith("messages"):
-                chunk = chunk._replace(data=tuple(chunk.data))  # type: ignore
+                chunk = chunk._replace(data=tuple(chunk.data))
 
             # emit chunk
-            if subgraphs:
+            if version == "v2":
+                ints: tuple[Interrupt, ...] = ()
+                if mode == "values" and isinstance(chunk.data, dict):
+                    ints = tuple(
+                        Interrupt(**i) if isinstance(i, dict) else i
+                        for i in chunk.data.pop(INTERRUPT, ())
+                    )
+                yield {"type": mode, "ns": ns, "data": chunk.data, "interrupts": ints}
+            elif subgraphs:
                 if NS_SEP in chunk.event:
                     mode, ns_ = chunk.event.split(NS_SEP, 1)
                     ns = tuple(ns_.split(NS_SEP))
@@ -918,15 +1012,47 @@ class RemoteGraph(PregelProtocol):
     ) -> AsyncIterator[dict[str, Any]]:
         raise NotImplementedError
 
+    @overload
     def invoke(
         self,
         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,
         params: QueryParamTypes | None = None,
+        version: Literal["v2"],
+        **kwargs: Any,
+    ) -> GraphOutput[dict[str, Any]]: ...
+
+    @overload
+    def invoke(
+        self,
+        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,
+        params: QueryParamTypes | None = None,
+        version: Literal["v1"] = ...,
+        **kwargs: Any,
+    ) -> dict[str, Any] | Any: ...
+
+    def invoke(
+        self,
+        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,
+        params: QueryParamTypes | None = None,
+        version: Literal["v1", "v2"] = "v1",
         **kwargs: Any,
     ) -> dict[str, Any] | Any:
         """Create a run, wait until it finishes and return the final state.
@@ -937,37 +1063,78 @@ class RemoteGraph(PregelProtocol):
             interrupt_before: Interrupt the graph before these nodes.
             interrupt_after: Interrupt the graph after these nodes.
             headers: Additional headers to pass to the request.
+            version: The streaming format version. `"v1"` (default) returns the
+                traditional format, `"v2"` returns `StreamPart` typed dicts.
             **kwargs: Additional params to pass to RemoteGraph.stream.
 
         Returns:
             The output of the graph.
         """
-        for chunk in self.stream(
+        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,
             stream_mode="values",
             params=params,
+            version=version,
             **kwargs,
         ):
             pass
         try:
+            if version == "v2":
+                return GraphOutput(
+                    value=chunk["data"],
+                    interrupts=tuple(chunk.get("interrupts", ())),
+                )
             return chunk
         except UnboundLocalError:
             logger.warning("No events received from remote graph")
             return None
 
+    @overload
+    async def ainvoke(
+        self,
+        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,
+        params: QueryParamTypes | None = None,
+        version: Literal["v2"],
+        **kwargs: Any,
+    ) -> GraphOutput[dict[str, Any]]: ...
+
+    @overload
+    async def ainvoke(
+        self,
+        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,
+        params: QueryParamTypes | None = None,
+        version: Literal["v1"] = ...,
+        **kwargs: Any,
+    ) -> dict[str, Any] | Any: ...
+
     async def ainvoke(
         self,
         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,
         params: QueryParamTypes | None = None,
+        version: Literal["v1", "v2"] = "v1",
         **kwargs: Any,
     ) -> dict[str, Any] | Any:
         """Create a run, wait until it finishes and return the final state.
@@ -978,23 +1145,32 @@ class RemoteGraph(PregelProtocol):
             interrupt_before: Interrupt the graph before these nodes.
             interrupt_after: Interrupt the graph after these nodes.
             headers: Additional headers to pass to the request.
+            version: The streaming format version. `"v1"` (default) returns the
+                traditional format, `"v2"` returns `StreamPart` typed dicts.
             **kwargs: Additional params to pass to RemoteGraph.astream.
 
         Returns:
             The output of the graph.
         """
-        async for chunk in self.astream(
+        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,
             stream_mode="values",
             params=params,
+            version=version,
             **kwargs,
         ):
             pass
         try:
+            if version == "v2":
+                return GraphOutput(
+                    value=chunk["data"],
+                    interrupts=tuple(chunk.get("interrupts", ())),
+                )
             return chunk
         except UnboundLocalError:
             logger.warning("No events received from remote graph")

libs/langgraph/langgraph/runtime.py

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

libs/langgraph/langgraph/types.py

@@ -16,16 +16,25 @@ from typing import (
 )
 from warnings import warn
 
+from langchain_core.messages import AnyMessage
 from langchain_core.runnables import Runnable, RunnableConfig
 from langgraph.checkpoint.base import BaseCheckpointSaver, CheckpointMetadata
-from typing_extensions import Unpack, deprecated
+from typing_extensions import NotRequired, TypeAliasType, TypedDict, Unpack, deprecated
 from xxhash import xxh3_128_hexdigest
 
 from langgraph._internal._cache import default_cache_key
+from langgraph._internal._constants import INTERRUPT as _INTERRUPT_KEY
 from langgraph._internal._fields import get_cached_annotated_keys, get_update_as_tuples
 from langgraph._internal._retry import default_retry_on
 from langgraph._internal._typing import MISSING, DeprecatedKwargs
-from langgraph.warnings import LangGraphDeprecatedSinceV10
+from langgraph.warnings import LangGraphDeprecatedSinceV10, LangGraphDeprecatedSinceV11
+
+# Local TypeVars for generic stream TypedDicts.
+# We use separate TypeVars here (rather than importing from langgraph.typing)
+# because the typing module TypeVars have defaults that cause mypy issues
+# when used in standalone type aliases.
+StateT = TypeVar("StateT")
+OutputT = TypeVar("OutputT")
 
 if TYPE_CHECKING:
     from langgraph.pregel.protocol import PregelProtocol
@@ -44,6 +53,19 @@ __all__ = (
     "Checkpointer",
     "StreamMode",
     "StreamWriter",
+    "StreamPart",
+    "ValuesStreamPart",
+    "UpdatesStreamPart",
+    "MessagesStreamPart",
+    "CustomStreamPart",
+    "CheckpointStreamPart",
+    "TasksStreamPart",
+    "DebugStreamPart",
+    "TaskPayload",
+    "TaskResultPayload",
+    "CheckpointTask",
+    "CheckpointPayload",
+    "DebugPayload",
     "RetryPolicy",
     "CachePolicy",
     "Interrupt",
@@ -56,6 +78,7 @@ __all__ = (
     "Durability",
     "interrupt",
     "Overwrite",
+    "GraphOutput",
     "ensure_valid_checkpointer",
 )
 
@@ -113,6 +136,268 @@ StreamWriter = Callable[[Any], None]
 Always injected into nodes if requested as a keyword argument, but it's a no-op
 when not using `stream_mode="custom"`."""
 
+
+class TaskPayload(TypedDict):
+    """Payload for a task start event."""
+
+    id: str
+    """Unique identifier for this task."""
+    name: str
+    """Name of the node being executed."""
+    input: Any
+    """Input data passed to the task."""
+    triggers: list[str]
+    """List of triggers that caused this task to be executed (e.g. channel writes)."""
+
+
+class TaskResultPayload(TypedDict):
+    """Payload for a task result event."""
+
+    id: str
+    """Unique identifier for this task."""
+    name: str
+    """Name of the node that was executed."""
+    error: str | None
+    """Error message if the task failed, otherwise `None`."""
+    interrupts: list[dict]
+    """List of interrupts that occurred during task execution."""
+    result: dict[str, Any]
+    """Mapping of channel names to the values written by this task."""
+
+
+class CheckpointTask(TypedDict):
+    """A task entry within a `CheckpointPayload`.
+
+    The keys present depend on the task's state:
+
+    - **Error:** `id`, `name`, `error`, `state`
+    - **Has result:** `id`, `name`, `result`, `interrupts`, `state`
+    - **Pending:** `id`, `name`, `interrupts`, `state`
+    """
+
+    id: str
+    """Unique identifier for this task."""
+    name: str
+    """Name of the node being executed."""
+    error: NotRequired[str]
+    """Error message, present only if the task failed."""
+    result: NotRequired[Any]
+    """Result of the task, present only if the task completed successfully."""
+    interrupts: NotRequired[list[dict]]
+    """List of interrupts, present when the task has been interrupted or completed."""
+    state: StateSnapshot | RunnableConfig | None
+    """Snapshot of the subgraph state, or a `RunnableConfig` pointing to it. `None` if not a subgraph."""
+
+
+class CheckpointPayload(TypedDict, Generic[StateT]):
+    """Payload for a checkpoint event."""
+
+    config: RunnableConfig | None
+    """Configuration for this checkpoint, including the `thread_id` and `checkpoint_id`."""
+    metadata: CheckpointMetadata
+    """Metadata associated with this checkpoint (e.g. step number, source, writes)."""
+    values: StateT
+    """Current state values at the time of this checkpoint."""
+    next: list[str]
+    """Names of the nodes scheduled to execute next."""
+    parent_config: RunnableConfig | None
+    """Configuration of the parent checkpoint, or `None` if this is the first checkpoint."""
+    tasks: list[CheckpointTask]
+    """List of tasks associated with this checkpoint."""
+
+
+class _DebugCheckpointPayload(TypedDict, Generic[StateT]):
+    step: int
+    """The step number in the graph execution."""
+    timestamp: str
+    """ISO 8601 timestamp of when this event occurred."""
+    type: Literal["checkpoint"]
+    """Event type discriminator, always `"checkpoint"`."""
+    payload: CheckpointPayload[StateT]
+    """The checkpoint payload."""
+
+
+class _DebugTaskPayload(TypedDict):
+    step: int
+    """The step number in the graph execution."""
+    timestamp: str
+    """ISO 8601 timestamp of when this event occurred."""
+    type: Literal["task"]
+    """Event type discriminator, always `"task"`."""
+    payload: TaskPayload
+    """The task start payload."""
+
+
+class _DebugTaskResultPayload(TypedDict):
+    step: int
+    """The step number in the graph execution."""
+    timestamp: str
+    """ISO 8601 timestamp of when this event occurred."""
+    type: Literal["task_result"]
+    """Event type discriminator, always `"task_result"`."""
+    payload: TaskResultPayload
+    """The task result payload."""
+
+
+DebugPayload = TypeAliasType(
+    "DebugPayload",
+    _DebugCheckpointPayload[StateT] | _DebugTaskPayload | _DebugTaskResultPayload,
+    type_params=(StateT,),
+)
+"""Wrapper payload for debug events. Discriminate on `type`."""
+
+
+class ValuesStreamPart(TypedDict, Generic[OutputT]):
+    """Stream part emitted for `stream_mode="values"`.
+
+    `data` contains the full state after each step, as returned by `read_channels()`.
+    """
+
+    type: Literal["values"]
+    ns: tuple[str, ...]
+    data: OutputT
+    interrupts: tuple[Interrupt, ...]
+
+
+class UpdatesStreamPart(TypedDict):
+    """Stream part emitted for `stream_mode="updates"`.
+
+    `data` maps node names to their outputs. May also contain
+    `__interrupt__` (tuple of `Interrupt` dicts) and `__metadata__` keys.
+    """
+
+    type: Literal["updates"]
+    ns: tuple[str, ...]
+    data: dict[str, Any]
+
+
+class MessagesStreamPart(TypedDict):
+    """Stream part emitted for `stream_mode="messages"`.
+
+    `data` is a 2-tuple of `(message, metadata)` where `message` is a
+    `BaseMessage` (e.g. `AIMessageChunk`) and `metadata` is a dict containing
+    keys like `langgraph_step`, `langgraph_node`, `langgraph_triggers`, etc.
+    """
+
+    type: Literal["messages"]
+    ns: tuple[str, ...]
+    data: tuple[AnyMessage, dict[str, Any]]
+
+
+class CustomStreamPart(TypedDict):
+    """Stream part emitted for `stream_mode="custom"`.
+
+    `data` is whatever value was passed to `StreamWriter` inside a node.
+    """
+
+    type: Literal["custom"]
+    ns: tuple[str, ...]
+    data: Any
+
+
+class CheckpointStreamPart(TypedDict, Generic[StateT]):
+    """Stream part emitted for `stream_mode="checkpoints"`."""
+
+    type: Literal["checkpoints"]
+    ns: tuple[str, ...]
+    data: CheckpointPayload[StateT]
+
+
+class TasksStreamPart(TypedDict):
+    """Stream part emitted for `stream_mode="tasks"`.
+
+    For task start events, `data` is a `TaskPayload` with `id`, `name`,
+    `input`, and `triggers` keys.
+
+    For task result events, `data` is a `TaskResultPayload` with `id`,
+    `name`, `error`, `interrupts`, and `result` keys.
+    """
+
+    type: Literal["tasks"]
+    ns: tuple[str, ...]
+    data: TaskPayload | TaskResultPayload
+
+
+class DebugStreamPart(TypedDict, Generic[StateT]):
+    """Stream part emitted for `stream_mode="debug"`."""
+
+    type: Literal["debug"]
+    ns: tuple[str, ...]
+    data: DebugPayload[StateT]
+
+
+StreamPart = TypeAliasType(
+    "StreamPart",
+    ValuesStreamPart[OutputT]
+    | UpdatesStreamPart
+    | MessagesStreamPart
+    | CustomStreamPart
+    | CheckpointStreamPart[StateT]
+    | TasksStreamPart
+    | DebugStreamPart[StateT],
+    type_params=(StateT, OutputT),
+)
+"""A discriminated union of all v2 stream part types.
+
+Use `part["type"]` to narrow the type:
+
+```python
+async for part in graph.astream(input, version="v2"):
+    if part["type"] == "values":
+        part["data"]  # OutputT — full state (pydantic/dataclass/dict)
+    elif part["type"] == "messages":
+        part["data"]  # tuple[BaseMessage, dict] — (message, metadata)
+    elif part["type"] == "custom":
+        part["data"]  # Any — user-defined
+```
+"""
+
+
+@dataclass(frozen=True)
+class GraphOutput(Generic[OutputT]):
+    """Typed container returned by `invoke()` / `ainvoke()` with `version="v2"`.
+
+    Attributes:
+        value: The final output of the graph (dict, Pydantic model, dataclass, etc.).
+        interrupts: Any interrupts that occurred during execution.
+    """
+
+    value: OutputT
+    interrupts: tuple[Interrupt, ...] = ()
+
+    def __getitem__(self, key: str) -> Any:
+        """Backward compat: `result['__interrupt__']` and dict-key access."""
+        warn(
+            "Accessing GraphOutput via `result[key]` is deprecated. "
+            "Use `result.value` to access the output value directly, "
+            "or `result.interrupts` for interrupts.",
+            LangGraphDeprecatedSinceV11,
+            stacklevel=2,
+        )
+        if key == _INTERRUPT_KEY:
+            return self.interrupts
+        if isinstance(self.value, dict):
+            return self.value[key]
+        try:
+            return getattr(self.value, key)
+        except AttributeError:
+            raise KeyError(key)
+
+    def __contains__(self, key: object) -> bool:
+        warn(
+            "Accessing GraphOutput via `key in result` is deprecated. "
+            "Use `result.value` to access the output value directly, "
+            "or `result.interrupts` for interrupts.",
+            LangGraphDeprecatedSinceV11,
+            stacklevel=2,
+        )
+        if key == _INTERRUPT_KEY:
+            return bool(self.interrupts)
+        if isinstance(self.value, dict):
+            return key in self.value
+        return isinstance(key, str) and hasattr(self.value, key)
+
+
 _DC_KWARGS = {"kw_only": True, "slots": True, "frozen": True}
 
 

libs/langgraph/langgraph/warnings.py

@@ -6,6 +6,7 @@ __all__ = (
     "LangGraphDeprecationWarning",
     "LangGraphDeprecatedSinceV05",
     "LangGraphDeprecatedSinceV10",
+    "LangGraphDeprecatedSinceV11",
 )
 
 
@@ -59,3 +60,10 @@ class LangGraphDeprecatedSinceV10(LangGraphDeprecationWarning):
 
     def __init__(self, message: str, *args: object) -> None:
         super().__init__(message, *args, since=(1, 0), expected_removal=(2, 0))
+
+
+class LangGraphDeprecatedSinceV11(LangGraphDeprecationWarning):
+    """A specific `LangGraphDeprecationWarning` subclass defining functionality deprecated since LangGraph v1.1.0"""
+
+    def __init__(self, message: str, *args: object) -> None:
+        super().__init__(message, *args, since=(1, 1), expected_removal=(3, 0))

libs/langgraph/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph"
-version = "1.0.10"
+version = "1.1.3"
 description = "Building stateful, multi-actor applications with LLMs"
 authors = []
 requires-python = ">=3.10"

libs/langgraph/tests/test_deprecation.py

@@ -14,8 +14,12 @@ from langgraph.func import entrypoint, task
 from langgraph.graph import StateGraph
 from langgraph.graph.message import MessageGraph
 from langgraph.pregel import NodeBuilder, Pregel
-from langgraph.types import Interrupt, RetryPolicy
-from langgraph.warnings import LangGraphDeprecatedSinceV05, LangGraphDeprecatedSinceV10
+from langgraph.types import GraphOutput, Interrupt, RetryPolicy
+from langgraph.warnings import (
+    LangGraphDeprecatedSinceV05,
+    LangGraphDeprecatedSinceV10,
+    LangGraphDeprecatedSinceV11,
+)
 
 
 class PlainState(TypedDict): ...
@@ -197,6 +201,7 @@ def test_deprecated_import() -> None:
 @pytest.mark.filterwarnings(
     "ignore:`durability` has no effect when no checkpointer is present"
 )
+@pytest.mark.filterwarnings("ignore:Accessing GraphOutput via")
 def test_checkpoint_during_deprecation_state_graph() -> None:
     class CheckDurability(TypedDict):
         durability: NotRequired[str]
@@ -341,3 +346,34 @@ def test_message_graph_deprecation() -> None:
         match="MessageGraph is deprecated in LangGraph v1.0.0, to be removed in v2.0.0. Please use StateGraph with a `messages` key instead.",
     ):
         MessageGraph()
+
+
+def test_graph_output_getitem_deprecation() -> None:
+    output = GraphOutput(value={"foo": "bar"})
+
+    with pytest.warns(
+        LangGraphDeprecatedSinceV11,
+        match=r"Accessing GraphOutput via `result\[key\]` is deprecated",
+    ):
+        assert output["foo"] == "bar"
+
+
+def test_graph_output_contains_deprecation() -> None:
+    output = GraphOutput(value={"foo": "bar"})
+
+    with pytest.warns(
+        LangGraphDeprecatedSinceV11,
+        match=r"Accessing GraphOutput via `key in result` is deprecated",
+    ):
+        assert "foo" in output
+
+
+def test_graph_output_getitem_interrupt_deprecation() -> None:
+    interrupts = (Interrupt(value="q", id="abc"),)
+    output = GraphOutput(value={"foo": "bar"}, interrupts=interrupts)
+
+    with pytest.warns(
+        LangGraphDeprecatedSinceV11,
+        match=r"Accessing GraphOutput via `result\[key\]` is deprecated",
+    ):
+        assert output["__interrupt__"] == interrupts

libs/langgraph/tests/test_remote_graph.py

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

libs/langgraph/tests/test_retry.py

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

libs/langgraph/uv.lock

@@ -1348,7 +1348,7 @@ wheels = [
 
 [[package]]
 name = "langchain-core"
-version = "1.2.16"
+version = "1.2.19"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jsonpatch" },
@@ -1360,14 +1360,14 @@ dependencies = [
     { name = "typing-extensions" },
     { name = "uuid-utils" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/2e/a7/4c992456dae89a8704afec03e3c2a0149ccc5f29c1cbdd5f4aa77628e921/langchain_core-1.2.16.tar.gz", hash = "sha256:055a4bfe7d62f4ac45ed49fd759ee2e6bdd15abf998fbeea695fda5da2de6413", size = 835286, upload-time = "2026-02-25T16:27:30.551Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/ac/da/075720d37ebc668f48743bd540b047b2b08b8ba22b46d8f61166c5ad1d1c/langchain_core-1.2.19.tar.gz", hash = "sha256:87fa82c3eb4cc3d7a65f574cb447b5df09ec2131c8c2a0a02d4737ad02685438", size = 836647, upload-time = "2026-03-13T13:44:54.8Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/2d/a1/57d5feaa11dc2ebb40f3bc3d7bf4294b6703e152e56edea9d4c622475a6a/langchain_core-1.2.16-py3-none-any.whl", hash = "sha256:2768add9aa97232a7712580f678e0ba045ee1036c71fe471355be0434fcb6e30", size = 502219, upload-time = "2026-02-25T16:27:29.379Z" },
+    { url = "https://files.pythonhosted.org/packages/aa/cb/8704b2a22c0987627ed29464d23a45fb15e10a28fb482f4d84c3bddcbf27/langchain_core-1.2.19-py3-none-any.whl", hash = "sha256:6e74cb0fb443a8046ee298c05c99b67abe54cc57fcbc6d1cd3b0f2485ee47574", size = 503456, upload-time = "2026-03-13T13:44:53.241Z" },
 ]
 
 [[package]]
 name = "langgraph"
-version = "1.0.10"
+version = "1.1.3"
 source = { editable = "." }
 dependencies = [
     { name = "langchain-core" },
@@ -1596,7 +1596,7 @@ test = [
 
 [[package]]
 name = "langgraph-checkpoint-postgres"
-version = "3.0.4"
+version = "3.0.5"
 source = { editable = "../checkpoint-postgres" }
 dependencies = [
     { name = "langgraph-checkpoint" },
@@ -1689,23 +1689,25 @@ name = "langgraph-cli"
 source = { editable = "../cli" }
 dependencies = [
     { name = "click", marker = "python_full_version < '3.14'" },
+    { name = "httpx", marker = "python_full_version < '3.14'" },
     { name = "langgraph-sdk", marker = "python_full_version >= '3.11' and python_full_version < '3.14'" },
+    { name = "python-dotenv", marker = "python_full_version < '3.14'" },
 ]
 
 [package.optional-dependencies]
 inmem = [
     { name = "langgraph-api", marker = "python_full_version >= '3.11' and python_full_version < '3.14'" },
     { name = "langgraph-runtime-inmem", marker = "python_full_version >= '3.11' and python_full_version < '3.14'" },
-    { name = "python-dotenv", marker = "python_full_version < '3.14'" },
 ]
 
 [package.metadata]
 requires-dist = [
     { name = "click", specifier = ">=8.1.7" },
+    { name = "httpx", specifier = ">=0.24.0" },
     { name = "langgraph-api", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.5.35,<0.8.0" },
     { name = "langgraph-runtime-inmem", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.7" },
     { name = "langgraph-sdk", marker = "python_full_version >= '3.11'", specifier = ">=0.1.0" },
-    { name = "python-dotenv", marker = "extra == 'inmem'", specifier = ">=0.8.0" },
+    { name = "python-dotenv", specifier = ">=0.8.0" },
 ]
 provides-extras = ["inmem"]
 
@@ -1826,16 +1828,16 @@ dev = [
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },
     { name = "pytest-watch" },
-    { name = "ruff", specifier = "==0.15.1" },
+    { name = "ruff", specifier = "==0.15.6" },
     { name = "starlette" },
-    { name = "ty", specifier = "==0.0.17" },
+    { name = "ty", specifier = "==0.0.23" },
 ]
 lint = [
     { name = "codespell" },
     { name = "mypy", specifier = "==1.19.1" },
-    { name = "ruff", specifier = "==0.15.1" },
+    { name = "ruff", specifier = "==0.15.6" },
     { name = "starlette" },
-    { name = "ty", specifier = "==0.0.17" },
+    { name = "ty", specifier = "==0.0.23" },
 ]
 test = [
     { name = "pytest" },
@@ -2292,83 +2294,83 @@ wheels = [
 
 [[package]]
 name = "orjson"
-version = "3.11.5"
+version = "3.11.6"
 source = { registry = "https://pypi.org/simple" }
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+sdist = { url = "https://files.pythonhosted.org/packages/70/a3/4e09c61a5f0c521cba0bb433639610ae037437669f1a4cbc93799e731d78/orjson-3.11.6.tar.gz", hash = "sha256:0a54c72259f35299fd033042367df781c2f66d10252955ca1efb7db309b954cb", size = 6175856, upload-time = "2026-01-29T15:13:07.942Z" }
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libs/sdk-py/langgraph_sdk/__init__.py

@@ -3,6 +3,6 @@ from langgraph_sdk.client import get_client, get_sync_client
 from langgraph_sdk.encryption import Encryption
 from langgraph_sdk.encryption.types import EncryptionContext
 
-__version__ = "0.3.9"
+__version__ = "0.3.12"
 
 __all__ = ["Auth", "Encryption", "EncryptionContext", "get_client", "get_sync_client"]

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

@@ -4,10 +4,11 @@ from __future__ import annotations
 
 import warnings
 from collections.abc import Mapping, Sequence
-from datetime import datetime
+from datetime import datetime, tzinfo
 from typing import Any
 
 from langgraph_sdk._async.http import HttpClient
+from langgraph_sdk._shared.utilities import _resolve_timezone
 from langgraph_sdk.schema import (
     All,
     Config,
@@ -70,6 +71,7 @@ class CronClient:
         multitask_strategy: str | None = None,
         end_time: datetime | None = None,
         enabled: bool | None = None,
+        timezone: str | tzinfo | None = None,
         stream_mode: StreamMode | Sequence[StreamMode] | None = None,
         stream_subgraphs: bool | None = None,
         stream_resumable: bool | None = None,
@@ -84,7 +86,7 @@ class CronClient:
             assistant_id: The assistant ID or graph name to use for the cron job.
                 If using graph name, will default to first assistant created from that graph.
             schedule: The cron schedule to execute this job on.
-                Schedules are interpreted in UTC.
+                Schedules are interpreted in UTC unless a timezone is specified.
             input: The input to the graph.
             metadata: Metadata to assign to the cron job runs.
             config: The configuration for the assistant.
@@ -100,6 +102,7 @@ class CronClient:
                 Must be one of 'reject', 'interrupt', 'rollback', or 'enqueue'.
             end_time: The time to stop running the cron job. If not provided, the cron job will run indefinitely.
             enabled: Whether the cron job is enabled or not.
+            timezone: IANA timezone for the cron schedule. Accepts a string (e.g. 'America/New_York') or a ``datetime.tzinfo`` instance (e.g. ``ZoneInfo("America/New_York")``).
             stream_mode: The stream mode(s) to use.
             stream_subgraphs: Whether to stream output from subgraphs.
             stream_resumable: Whether to persist the stream chunks in order to resume the stream later.
@@ -152,6 +155,7 @@ class CronClient:
             "webhook": webhook,
             "end_time": end_time.isoformat() if end_time else None,
             "enabled": enabled,
+            "timezone": _resolve_timezone(timezone),
             "stream_mode": stream_mode,
             "stream_subgraphs": stream_subgraphs,
             "stream_resumable": stream_resumable,
@@ -184,6 +188,7 @@ class CronClient:
         multitask_strategy: str | None = None,
         end_time: datetime | None = None,
         enabled: bool | None = None,
+        timezone: str | tzinfo | None = None,
         stream_mode: StreamMode | Sequence[StreamMode] | None = None,
         stream_subgraphs: bool | None = None,
         stream_resumable: bool | None = None,
@@ -197,7 +202,7 @@ class CronClient:
             assistant_id: The assistant ID or graph name to use for the cron job.
                 If using graph name, will default to first assistant created from that graph.
             schedule: The cron schedule to execute this job on.
-                Schedules are interpreted in UTC.
+                Schedules are interpreted in UTC unless a timezone is specified.
             input: The input to the graph.
             metadata: Metadata to assign to the cron job runs.
             config: The configuration for the assistant.
@@ -215,6 +220,7 @@ class CronClient:
                 Must be one of 'reject', 'interrupt', 'rollback', or 'enqueue'.
             end_time: The time to stop running the cron job. If not provided, the cron job will run indefinitely.
             enabled: Whether the cron job is enabled or not.
+            timezone: IANA timezone for the cron schedule. Accepts a string (e.g. 'America/New_York') or a ``datetime.tzinfo`` instance (e.g. ``ZoneInfo("America/New_York")``).
             stream_mode: The stream mode(s) to use.
             stream_subgraphs: Whether to stream output from subgraphs.
             stream_resumable: Whether to persist the stream chunks in order to resume the stream later.
@@ -268,6 +274,7 @@ class CronClient:
             "on_run_completed": on_run_completed,
             "end_time": end_time.isoformat() if end_time else None,
             "enabled": enabled,
+            "timezone": _resolve_timezone(timezone),
             "stream_mode": stream_mode,
             "stream_subgraphs": stream_subgraphs,
             "stream_resumable": stream_resumable,
@@ -324,6 +331,7 @@ class CronClient:
         interrupt_after: All | list[str] | None = None,
         on_run_completed: OnCompletionBehavior | None = None,
         enabled: bool | None = None,
+        timezone: str | tzinfo | None = None,
         stream_mode: StreamMode | Sequence[StreamMode] | None = None,
         stream_subgraphs: bool | None = None,
         stream_resumable: bool | None = None,
@@ -336,7 +344,7 @@ class CronClient:
         Args:
             cron_id: The cron ID to update.
             schedule: The cron schedule to execute this job on.
-                Schedules are interpreted in UTC.
+                Schedules are interpreted in UTC unless a timezone is specified.
             end_time: The end date to stop running the cron.
             input: The input to the graph.
             metadata: Metadata to assign to the cron job runs.
@@ -350,6 +358,7 @@ class CronClient:
                 after execution. 'keep' creates a new thread for each execution but does not
                 clean them up.
             enabled: Enable or disable the cron job.
+            timezone: IANA timezone for the cron schedule. Accepts a string (e.g. 'America/New_York') or a ``datetime.tzinfo`` instance (e.g. ``ZoneInfo("America/New_York")``).
             stream_mode: The stream mode(s) to use.
             stream_subgraphs: Whether to stream output from subgraphs.
             stream_resumable: Whether to persist the stream chunks in order to resume the stream later.
@@ -384,6 +393,7 @@ class CronClient:
             "interrupt_after": interrupt_after,
             "on_run_completed": on_run_completed,
             "enabled": enabled,
+            "timezone": _resolve_timezone(timezone),
             "stream_mode": stream_mode,
             "stream_subgraphs": stream_subgraphs,
             "stream_resumable": stream_resumable,
@@ -464,7 +474,7 @@ class CronClient:
             ```
 
         """
-        payload = {
+        payload: dict[str, Any] = {
             "assistant_id": assistant_id,
             "thread_id": thread_id,
             "enabled": enabled,

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

@@ -5,12 +5,15 @@ from __future__ import annotations
 import builtins
 import warnings
 from collections.abc import AsyncIterator, Callable, Mapping, Sequence
-from typing import Any, overload
+from typing import Any, Literal, overload
 
 import httpx
 
 from langgraph_sdk._async.http import HttpClient
-from langgraph_sdk._shared.utilities import _get_run_metadata_from_response
+from langgraph_sdk._shared.utilities import (
+    _get_run_metadata_from_response,
+    _sse_to_v2_dict,
+)
 from langgraph_sdk.schema import (
     All,
     BulkCancelRunsStatus,
@@ -33,9 +36,21 @@ from langgraph_sdk.schema import (
     RunStatus,
     StreamMode,
     StreamPart,
+    StreamPartV2,
+    StreamVersion,
 )
 
 
+async def _wrap_stream_v2(
+    raw: AsyncIterator[StreamPart],
+) -> AsyncIterator[StreamPartV2]:
+    """Wrap a raw SSE stream, converting each event to a v2 dict."""
+    async for part in raw:
+        v2 = _sse_to_v2_dict(part.event, part.data)
+        if v2 is not None:
+            yield v2
+
+
 class RunsClient:
     """Client for managing runs in LangGraph.
 
@@ -81,6 +96,66 @@ class RunsClient:
         headers: Mapping[str, str] | None = None,
         params: QueryParamTypes | None = None,
         on_run_created: Callable[[RunCreateMetadata], None] | None = None,
+        version: Literal["v1"] = "v1",
+    ) -> AsyncIterator[StreamPart]: ...
+
+    @overload
+    def stream(
+        self,
+        thread_id: str,
+        assistant_id: str,
+        *,
+        input: Input | None = None,
+        command: Command | None = None,
+        stream_mode: StreamMode | Sequence[StreamMode] = "values",
+        stream_subgraphs: bool = False,
+        stream_resumable: bool = False,
+        metadata: Mapping[str, Any] | None = None,
+        config: Config | None = None,
+        context: Context | None = None,
+        checkpoint: Checkpoint | None = None,
+        checkpoint_id: str | None = None,
+        checkpoint_during: bool | None = None,
+        interrupt_before: All | Sequence[str] | None = None,
+        interrupt_after: All | Sequence[str] | None = None,
+        feedback_keys: Sequence[str] | None = None,
+        on_disconnect: DisconnectMode | None = None,
+        webhook: str | None = None,
+        multitask_strategy: MultitaskStrategy | None = None,
+        if_not_exists: IfNotExists | None = None,
+        after_seconds: int | None = None,
+        headers: Mapping[str, str] | None = None,
+        params: QueryParamTypes | None = None,
+        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
+        version: Literal["v2"],
+    ) -> AsyncIterator[StreamPartV2]: ...
+
+    @overload
+    def stream(
+        self,
+        thread_id: None,
+        assistant_id: str,
+        *,
+        input: Input | None = None,
+        command: Command | None = None,
+        stream_mode: StreamMode | Sequence[StreamMode] = "values",
+        stream_subgraphs: bool = False,
+        stream_resumable: bool = False,
+        metadata: Mapping[str, Any] | None = None,
+        config: Config | None = None,
+        checkpoint_during: bool | None = None,
+        interrupt_before: All | Sequence[str] | None = None,
+        interrupt_after: All | Sequence[str] | None = None,
+        feedback_keys: Sequence[str] | None = None,
+        on_disconnect: DisconnectMode | None = None,
+        on_completion: OnCompletionBehavior | None = None,
+        if_not_exists: IfNotExists | None = None,
+        webhook: str | None = None,
+        after_seconds: int | None = None,
+        headers: Mapping[str, str] | None = None,
+        params: QueryParamTypes | None = None,
+        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
+        version: Literal["v1"] = "v1",
     ) -> AsyncIterator[StreamPart]: ...
 
     @overload
@@ -108,7 +183,8 @@ class RunsClient:
         headers: Mapping[str, str] | None = None,
         params: QueryParamTypes | None = None,
         on_run_created: Callable[[RunCreateMetadata], None] | None = None,
-    ) -> AsyncIterator[StreamPart]: ...
+        version: Literal["v2"],
+    ) -> AsyncIterator[StreamPartV2]: ...
 
     def stream(
         self,
@@ -139,7 +215,8 @@ class RunsClient:
         params: QueryParamTypes | None = None,
         on_run_created: Callable[[RunCreateMetadata], None] | None = None,
         durability: Durability | None = None,
-    ) -> AsyncIterator[StreamPart]:
+        version: StreamVersion = "v1",
+    ) -> AsyncIterator[StreamPart | StreamPartV2]:
         """Create a run and stream the results.
 
         Args:
@@ -180,6 +257,8 @@ class RunsClient:
                 "async" means checkpoints are persisted async while next graph step executes, replaces checkpoint_during=True
                 "sync" means checkpoints are persisted sync after graph step executes, replaces checkpoint_during=False
                 "exit" means checkpoints are only persisted when the run exits, does not save intermediate steps
+            version: Stream format version. "v1" (default) returns raw SSE StreamPart
+                NamedTuples. "v2" returns typed dicts with `type`, `ns`, and `data` keys.
 
         Returns:
             Asynchronous iterator of stream results.
@@ -222,7 +301,7 @@ class RunsClient:
                 stacklevel=2,
             )
 
-        payload = {
+        payload: dict[str, Any] = {
             "input": input,
             "command": (
                 {k: v for k, v in command.items() if v is not None} if command else None
@@ -259,7 +338,7 @@ class RunsClient:
             if on_run_created and (metadata := _get_run_metadata_from_response(res)):
                 on_run_created(metadata)
 
-        return self.http.stream(
+        raw = self.http.stream(
             endpoint,
             "POST",
             json={k: v for k, v in payload.items() if v is not None},
@@ -267,6 +346,9 @@ class RunsClient:
             headers=headers,
             on_response=on_response if on_run_created else None,
         )
+        if version == "v2":
+            return _wrap_stream_v2(raw)
+        return raw
 
     @overload
     async def create(

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

@@ -134,7 +134,7 @@ class StoreClient:
                 raise ValueError(
                     f"Invalid namespace label '{label}'. Namespace labels cannot contain periods ('.')."
                 )
-        get_params = {"namespace": ".".join(namespace), "key": key}
+        get_params: dict[str, Any] = {"namespace": ".".join(namespace), "key": key}
         if refresh_ttl is not None:
             get_params["refresh_ttl"] = refresh_ttl
         if params:

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

@@ -6,13 +6,17 @@ import functools
 import os
 import re
 from collections.abc import Mapping
-from typing import Any, cast
+from datetime import tzinfo
+from typing import TYPE_CHECKING, Any, cast
 
 import httpx
 
 import langgraph_sdk
 from langgraph_sdk.schema import RunCreateMetadata
 
+if TYPE_CHECKING:
+    from zoneinfo import ZoneInfo
+
 RESERVED_HEADERS = ("x-api-key",)
 
 NOT_PROVIDED = cast(None, object())
@@ -107,6 +111,53 @@ def _get_run_metadata_from_response(
     return None
 
 
+def _sse_to_v2_dict(event: str, data: Any) -> dict[str, Any] | None:
+    """Convert an SSE event+data pair into a v2 stream part dict.
+
+    Returns None for ``end`` events (signals end of stream).
+    """
+    if event == "end":
+        return None
+    parts = event.split("|")
+    event_type = parts[0]
+    ns = parts[1:] if len(parts) > 1 else []
+    result: dict[str, Any] = {"type": event_type, "ns": ns, "data": data}
+    if event_type == "values" and isinstance(data, dict):
+        result["interrupts"] = data.pop("__interrupt__", [])
+    else:
+        result["interrupts"] = []
+    return result
+
+
+def _resolve_timezone(tz: str | tzinfo | ZoneInfo | None) -> str | None:
+    """Convert a timezone argument to an IANA timezone string.
+
+    Accepts:
+        - A string (returned as-is, assumed to be an IANA timezone name)
+        - A ``datetime.tzinfo`` instance (e.g. ``zoneinfo.ZoneInfo("America/New_York")``,
+          ``datetime.timezone.utc``). The ``key`` attribute is used if available,
+          otherwise ``tzname(None)`` is used.
+        - ``None`` (returned as ``None``)
+    """
+    if tz is None or isinstance(tz, str):
+        return tz
+    if isinstance(tz, tzinfo):
+        # ZoneInfo objects have a .key attribute with the IANA name
+        if hasattr(tz, "key"):
+            return tz.key  # type: ignore[union-attr]
+        # Fall back to tzname for fixed-offset timezones like datetime.timezone.utc
+        name = tz.tzname(None)
+        if name is not None:
+            return name
+        raise ValueError(
+            f"Cannot determine timezone name from {tz!r}. "
+            "Use a zoneinfo.ZoneInfo instance or pass a string like 'America/New_York'."
+        )
+    raise TypeError(
+        f"Expected str, datetime.tzinfo, or None for timezone, got {type(tz).__name__}"
+    )
+
+
 def _provided_vals(d: Mapping[str, Any]) -> dict[str, Any]:
     return {k: v for k, v in d.items() if v is not None}
 

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

@@ -4,9 +4,10 @@ from __future__ import annotations
 
 import warnings
 from collections.abc import Mapping, Sequence
-from datetime import datetime
+from datetime import datetime, tzinfo
 from typing import Any
 
+from langgraph_sdk._shared.utilities import _resolve_timezone
 from langgraph_sdk._sync.http import SyncHttpClient
 from langgraph_sdk.schema import (
     All,
@@ -64,6 +65,7 @@ class SyncCronClient:
         multitask_strategy: str | None = None,
         end_time: datetime | None = None,
         enabled: bool | None = None,
+        timezone: str | tzinfo | None = None,
         stream_mode: StreamMode | Sequence[StreamMode] | None = None,
         stream_subgraphs: bool | None = None,
         stream_resumable: bool | None = None,
@@ -78,7 +80,7 @@ class SyncCronClient:
             assistant_id: The assistant ID or graph name to use for the cron job.
                 If using graph name, will default to first assistant created from that graph.
             schedule: The cron schedule to execute this job on.
-                Schedules are interpreted in UTC.
+                Schedules are interpreted in UTC unless a timezone is specified.
             input: The input to the graph.
             metadata: Metadata to assign to the cron job runs.
             config: The configuration for the assistant.
@@ -92,6 +94,7 @@ class SyncCronClient:
                 Must be one of 'reject', 'interrupt', 'rollback', or 'enqueue'.
             end_time: The time to stop running the cron job. If not provided, the cron job will run indefinitely.
             enabled: Whether the cron job is enabled. By default, it is considered enabled.
+            timezone: IANA timezone for the cron schedule. Accepts a string (e.g. 'America/New_York') or a ``datetime.tzinfo`` instance (e.g. ``ZoneInfo("America/New_York")``).
             stream_mode: The stream mode(s) to use.
             stream_subgraphs: Whether to stream output from subgraphs.
             stream_resumable: Whether to persist the stream chunks in order to resume the stream later.
@@ -144,6 +147,7 @@ class SyncCronClient:
             "multitask_strategy": multitask_strategy,
             "end_time": end_time.isoformat() if end_time else None,
             "enabled": enabled,
+            "timezone": _resolve_timezone(timezone),
             "stream_mode": stream_mode,
             "stream_subgraphs": stream_subgraphs,
             "stream_resumable": stream_resumable,
@@ -174,6 +178,7 @@ class SyncCronClient:
         multitask_strategy: str | None = None,
         end_time: datetime | None = None,
         enabled: bool | None = None,
+        timezone: str | tzinfo | None = None,
         stream_mode: StreamMode | Sequence[StreamMode] | None = None,
         stream_subgraphs: bool | None = None,
         stream_resumable: bool | None = None,
@@ -187,7 +192,7 @@ class SyncCronClient:
             assistant_id: The assistant ID or graph name to use for the cron job.
                 If using graph name, will default to first assistant created from that graph.
             schedule: The cron schedule to execute this job on.
-                Schedules are interpreted in UTC.
+                Schedules are interpreted in UTC unless a timezone is specified.
             input: The input to the graph.
             metadata: Metadata to assign to the cron job runs.
             config: The configuration for the assistant.
@@ -205,6 +210,7 @@ class SyncCronClient:
                 Must be one of 'reject', 'interrupt', 'rollback', or 'enqueue'.
             end_time: The time to stop running the cron job. If not provided, the cron job will run indefinitely.
             enabled: Whether the cron job is enabled. By default, it is considered enabled.
+            timezone: IANA timezone for the cron schedule. Accepts a string (e.g. 'America/New_York') or a ``datetime.tzinfo`` instance (e.g. ``ZoneInfo("America/New_York")``).
             stream_mode: The stream mode(s) to use.
             stream_subgraphs: Whether to stream output from subgraphs.
             stream_resumable: Whether to persist the stream chunks in order to resume the stream later.
@@ -259,6 +265,7 @@ class SyncCronClient:
             "multitask_strategy": multitask_strategy,
             "end_time": end_time.isoformat() if end_time else None,
             "enabled": enabled,
+            "timezone": _resolve_timezone(timezone),
             "stream_mode": stream_mode,
             "stream_subgraphs": stream_subgraphs,
             "stream_resumable": stream_resumable,
@@ -313,6 +320,7 @@ class SyncCronClient:
         interrupt_after: All | list[str] | None = None,
         on_run_completed: OnCompletionBehavior | None = None,
         enabled: bool | None = None,
+        timezone: str | tzinfo | None = None,
         stream_mode: StreamMode | Sequence[StreamMode] | None = None,
         stream_subgraphs: bool | None = None,
         stream_resumable: bool | None = None,
@@ -325,7 +333,7 @@ class SyncCronClient:
         Args:
             cron_id: The cron ID to update.
             schedule: The cron schedule to execute this job on.
-                Schedules are interpreted in UTC.
+                Schedules are interpreted in UTC unless a timezone is specified.
             end_time: The end date to stop running the cron.
             input: The input to the graph.
             metadata: Metadata to assign to the cron job runs.
@@ -339,6 +347,7 @@ class SyncCronClient:
                 after execution. 'keep' creates a new thread for each execution but does not
                 clean them up.
             enabled: Enable or disable the cron job.
+            timezone: IANA timezone for the cron schedule. Accepts a string (e.g. 'America/New_York') or a ``datetime.tzinfo`` instance (e.g. ``ZoneInfo("America/New_York")``).
             stream_mode: The stream mode(s) to use.
             stream_subgraphs: Whether to stream output from subgraphs.
             stream_resumable: Whether to persist the stream chunks in order to resume the stream later.
@@ -373,6 +382,7 @@ class SyncCronClient:
             "interrupt_after": interrupt_after,
             "on_run_completed": on_run_completed,
             "enabled": enabled,
+            "timezone": _resolve_timezone(timezone),
             "stream_mode": stream_mode,
             "stream_subgraphs": stream_subgraphs,
             "stream_resumable": stream_resumable,
@@ -451,7 +461,7 @@ class SyncCronClient:
             ]
             ```
         """
-        payload = {
+        payload: dict[str, Any] = {
             "assistant_id": assistant_id,
             "thread_id": thread_id,
             "enabled": enabled,

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

@@ -5,11 +5,14 @@ from __future__ import annotations
 import builtins
 import warnings
 from collections.abc import Callable, Iterator, Mapping, Sequence
-from typing import Any, overload
+from typing import Any, Literal, overload
 
 import httpx
 
-from langgraph_sdk._shared.utilities import _get_run_metadata_from_response
+from langgraph_sdk._shared.utilities import (
+    _get_run_metadata_from_response,
+    _sse_to_v2_dict,
+)
 from langgraph_sdk._sync.http import SyncHttpClient
 from langgraph_sdk.schema import (
     All,
@@ -33,9 +36,21 @@ from langgraph_sdk.schema import (
     RunStatus,
     StreamMode,
     StreamPart,
+    StreamPartV2,
+    StreamVersion,
 )
 
 
+def _wrap_stream_v2_sync(
+    raw: Iterator[StreamPart],
+) -> Iterator[StreamPartV2]:
+    """Wrap a raw SSE stream, converting each event to a v2 dict."""
+    for part in raw:
+        v2 = _sse_to_v2_dict(part.event, part.data)
+        if v2 is not None:
+            yield v2
+
+
 class SyncRunsClient:
     """Synchronous client for managing runs in LangGraph.
 
@@ -80,6 +95,66 @@ class SyncRunsClient:
         headers: Mapping[str, str] | None = None,
         params: QueryParamTypes | None = None,
         on_run_created: Callable[[RunCreateMetadata], None] | None = None,
+        version: Literal["v1"] = "v1",
+    ) -> Iterator[StreamPart]: ...
+
+    @overload
+    def stream(
+        self,
+        thread_id: str,
+        assistant_id: str,
+        *,
+        input: Input | None = None,
+        command: Command | None = None,
+        stream_mode: StreamMode | Sequence[StreamMode] = "values",
+        stream_subgraphs: bool = False,
+        metadata: Mapping[str, Any] | None = None,
+        config: Config | None = None,
+        context: Context | None = None,
+        checkpoint: Checkpoint | None = None,
+        checkpoint_id: str | None = None,
+        checkpoint_during: bool | None = None,
+        interrupt_before: All | Sequence[str] | None = None,
+        interrupt_after: All | Sequence[str] | None = None,
+        feedback_keys: Sequence[str] | None = None,
+        on_disconnect: DisconnectMode | None = None,
+        webhook: str | None = None,
+        multitask_strategy: MultitaskStrategy | None = None,
+        if_not_exists: IfNotExists | None = None,
+        after_seconds: int | None = None,
+        headers: Mapping[str, str] | None = None,
+        params: QueryParamTypes | None = None,
+        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
+        version: Literal["v2"],
+    ) -> Iterator[StreamPartV2]: ...
+
+    @overload
+    def stream(
+        self,
+        thread_id: None,
+        assistant_id: str,
+        *,
+        input: Input | None = None,
+        command: Command | None = None,
+        stream_mode: StreamMode | Sequence[StreamMode] = "values",
+        stream_subgraphs: bool = False,
+        stream_resumable: bool = False,
+        metadata: Mapping[str, Any] | None = None,
+        config: Config | None = None,
+        context: Context | None = None,
+        checkpoint_during: bool | None = None,
+        interrupt_before: All | Sequence[str] | None = None,
+        interrupt_after: All | Sequence[str] | None = None,
+        feedback_keys: Sequence[str] | None = None,
+        on_disconnect: DisconnectMode | None = None,
+        on_completion: OnCompletionBehavior | None = None,
+        if_not_exists: IfNotExists | None = None,
+        webhook: str | None = None,
+        after_seconds: int | None = None,
+        headers: Mapping[str, str] | None = None,
+        params: QueryParamTypes | None = None,
+        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
+        version: Literal["v1"] = "v1",
     ) -> Iterator[StreamPart]: ...
 
     @overload
@@ -108,7 +183,8 @@ class SyncRunsClient:
         headers: Mapping[str, str] | None = None,
         params: QueryParamTypes | None = None,
         on_run_created: Callable[[RunCreateMetadata], None] | None = None,
-    ) -> Iterator[StreamPart]: ...
+        version: Literal["v2"],
+    ) -> Iterator[StreamPartV2]: ...
 
     def stream(
         self,
@@ -139,7 +215,8 @@ class SyncRunsClient:
         params: QueryParamTypes | None = None,
         on_run_created: Callable[[RunCreateMetadata], None] | None = None,
         durability: Durability | None = None,
-    ) -> Iterator[StreamPart]:
+        version: StreamVersion = "v1",
+    ) -> Iterator[StreamPart | StreamPartV2]:
         """Create a run and stream the results.
 
         Args:
@@ -179,7 +256,8 @@ class SyncRunsClient:
                 "async" means checkpoints are persisted async while next graph step executes, replaces checkpoint_during=True
                 "sync" means checkpoints are persisted sync after graph step executes, replaces checkpoint_during=False
                 "exit" means checkpoints are only persisted when the run exits, does not save intermediate steps
-
+            version: Stream format version. "v1" (default) returns raw SSE StreamPart
+                NamedTuples. "v2" returns typed dicts with `type`, `ns`, and `data` keys.
 
         Returns:
             Iterator of stream results.
@@ -218,7 +296,7 @@ class SyncRunsClient:
                 DeprecationWarning,
                 stacklevel=2,
             )
-        payload = {
+        payload: dict[str, Any] = {
             "input": input,
             "command": (
                 {k: v for k, v in command.items() if v is not None} if command else None
@@ -255,7 +333,7 @@ class SyncRunsClient:
             if on_run_created and (metadata := _get_run_metadata_from_response(res)):
                 on_run_created(metadata)
 
-        return self.http.stream(
+        raw = self.http.stream(
             endpoint,
             "POST",
             json={k: v for k, v in payload.items() if v is not None},
@@ -263,6 +341,9 @@ class SyncRunsClient:
             headers=headers,
             on_response=on_response if on_run_created else None,
         )
+        if version == "v2":
+            return _wrap_stream_v2_sync(raw)
+        return raw
 
     @overload
     def create(

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

@@ -134,7 +134,7 @@ class SyncStoreClient:
                     f"Invalid namespace label '{label}'. Namespace labels cannot contain periods ('.')."
                 )
 
-        query_params = {"key": key, "namespace": ".".join(namespace)}
+        query_params: dict[str, Any] = {"key": key, "namespace": ".".join(namespace)}
         if refresh_ttl is not None:
             query_params["refresh_ttl"] = refresh_ttl
         if params:

libs/sdk-py/langgraph_sdk/cache.py

@@ -0,0 +1,140 @@
+"""Key/value cache for use inside LangGraph deployments.
+
+Thin wrapper around ``langgraph_api.cache``.
+Values must be JSON-serializable (dicts, lists, strings, numbers, booleans,
+``None``).
+"""
+
+from __future__ import annotations
+
+from collections.abc import Awaitable, Callable
+from datetime import timedelta
+from typing import Any, Generic, Literal, TypeVar
+
+T = TypeVar("T")
+
+CacheStatus = Literal["miss", "fresh", "stale", "expired"]
+
+try:
+    from langgraph_api.cache import (  # type: ignore[unresolved-import]
+        cache_get as _cache_get,
+    )
+    from langgraph_api.cache import (  # type: ignore[unresolved-import]
+        cache_set as _cache_set,
+    )
+except ImportError:
+    _cache_get = None
+    _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",
+]
+
+
+async def cache_get(key: str) -> Any | None:
+    """Get a value from the cache.
+
+    Returns the deserialized value, or ``None`` if the key is missing or expired.
+
+    Requires Agent Server runtime version 0.7.29 or later.
+    """
+    if _cache_get is None:
+        raise RuntimeError(
+            "Cache is only available server-side within the LangGraph Agent Server "
+            "(https://docs.langchain.com/langsmith/deployments)."
+        )
+    return await _cache_get(key)
+
+
+async def cache_set(key: str, value: Any, *, ttl: timedelta | None = None) -> None:
+    """Set a value in the cache.
+
+    Args:
+        key: The cache key.
+        value: The value to cache (must be JSON-serializable).
+        ttl: Optional time-to-live. Capped at 1 day; ``None`` or zero
+            defaults to 1 day.
+
+    Requires Agent Server runtime version 0.7.29 or later.
+    """
+    if _cache_set is None:
+        raise RuntimeError(
+            "Cache is only available server-side within the LangGraph Agent Server "
+            "(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
+    )

libs/sdk-py/langgraph_sdk/schema.py

@@ -385,6 +385,8 @@ class Cron(TypedDict):
     """The end date to stop running the cron."""
     schedule: str
     """The schedule to run, cron format."""
+    timezone: str | None
+    """IANA timezone for the cron schedule (e.g. 'America/New_York'). Defaults to null, which is treated as UTC."""
     created_at: datetime
     """The time the cron was created."""
     updated_at: datetime
@@ -406,6 +408,8 @@ class CronUpdate(TypedDict, total=False):
 
     schedule: str
     """The cron schedule to execute this job on."""
+    timezone: str
+    """IANA timezone for the cron schedule (e.g. 'America/New_York')."""
     end_time: datetime
     """The end date to stop running the cron."""
     input: Input
@@ -482,6 +486,7 @@ CronSelectField = Literal[
     "thread_id",
     "end_time",
     "schedule",
+    "timezone",
     "created_at",
     "updated_at",
     "user_id",
@@ -588,6 +593,275 @@ class StreamPart(NamedTuple):
     """The ID of the event."""
 
 
+StreamVersion = Literal["v1", "v2"]
+"""Stream format version.
+
+- `"v1"`: Traditional format — raw SSE `StreamPart` NamedTuples.
+- `"v2"`: Each event is a typed dict with `type`, `ns`, and `data` keys.
+"""
+
+
+# --- Typed payload dicts (JSON-deserialized from the server) ---
+
+
+class TaskPayload(TypedDict):
+    """Payload for a task start event."""
+
+    id: str
+    """Unique identifier for this task."""
+    name: str
+    """Name of the node being executed."""
+    input: Any
+    """Input data passed to the task."""
+    triggers: list[str]
+    """List of triggers that caused this task to be executed (e.g. channel writes)."""
+
+
+class TaskResultPayload(TypedDict):
+    """Payload for a task result event."""
+
+    id: str
+    """Unique identifier for this task."""
+    name: str
+    """Name of the node that was executed."""
+    error: str | None
+    """Error message if the task failed, otherwise `None`."""
+    interrupts: list[dict[str, Any]]
+    """List of interrupts that occurred during task execution."""
+    result: dict[str, Any]
+    """Mapping of channel names to the values written by this task."""
+
+
+class CheckpointTaskPayload(TypedDict):
+    """A task entry within a `CheckpointPayload`.
+
+    The keys present depend on the task's state:
+
+    - **Error:** `id`, `name`, `error`, `state`
+    - **Has result:** `id`, `name`, `result`, `interrupts`, `state`
+    - **Pending:** `id`, `name`, `interrupts`, `state`
+    """
+
+    id: str
+    """Unique identifier for this task."""
+    name: str
+    """Name of the node being executed."""
+    error: NotRequired[str]
+    """Error message, present only if the task failed."""
+    result: NotRequired[Any]
+    """Result of the task, present only if the task completed successfully."""
+    interrupts: NotRequired[list[dict[str, Any]]]
+    """List of interrupts, present when the task has been interrupted or completed."""
+    state: dict[str, Any] | None
+    """Snapshot of the subgraph state. `None` if not a subgraph."""
+
+
+class CheckpointPayload(TypedDict):
+    """Payload for a checkpoint event."""
+
+    config: dict[str, Any] | None
+    """Configuration for this checkpoint, including the `thread_id` and `checkpoint_id`."""
+    metadata: dict[str, Any]
+    """Metadata associated with this checkpoint (e.g. step number, source, writes)."""
+    values: dict[str, Any]
+    """Current state values at the time of this checkpoint."""
+    next: list[str]
+    """Names of the nodes scheduled to execute next."""
+    parent_config: dict[str, Any] | None
+    """Configuration of the parent checkpoint, or `None` if this is the first checkpoint."""
+    tasks: list[CheckpointTaskPayload]
+    """List of tasks associated with this checkpoint."""
+
+
+class _DebugCheckpointPayload(TypedDict):
+    step: int
+    """The step number in the graph execution."""
+    timestamp: str
+    """ISO 8601 timestamp of when this event occurred."""
+    type: Literal["checkpoint"]
+    """Event type discriminator, always `"checkpoint"`."""
+    payload: CheckpointPayload
+    """The checkpoint payload."""
+
+
+class _DebugTaskPayload(TypedDict):
+    step: int
+    """The step number in the graph execution."""
+    timestamp: str
+    """ISO 8601 timestamp of when this event occurred."""
+    type: Literal["task"]
+    """Event type discriminator, always `"task"`."""
+    payload: TaskPayload
+    """The task start payload."""
+
+
+class _DebugTaskResultPayload(TypedDict):
+    step: int
+    """The step number in the graph execution."""
+    timestamp: str
+    """ISO 8601 timestamp of when this event occurred."""
+    type: Literal["task_result"]
+    """Event type discriminator, always `"task_result"`."""
+    payload: TaskResultPayload
+    """The task result payload."""
+
+
+DebugPayload = _DebugCheckpointPayload | _DebugTaskPayload | _DebugTaskResultPayload
+"""Wrapper payload for debug events. Discriminate on `type`."""
+
+
+class RunMetadataPayload(TypedDict):
+    """Payload for the `metadata` control event."""
+
+    run_id: str
+    """The unique identifier of the run."""
+
+
+# --- v2 stream part TypedDicts ---
+
+
+class ValuesStreamPart(TypedDict):
+    """Stream part emitted for `stream_mode="values"`."""
+
+    type: Literal["values"]
+    """Stream part type discriminator."""
+    ns: list[str]
+    """Namespace path of the emitting node (empty for root graph)."""
+    data: dict[str, Any]
+    """Full state values after the step."""
+    interrupts: list[dict[str, Any]]
+    """List of interrupts that occurred during this step."""
+
+
+class UpdatesStreamPart(TypedDict):
+    """Stream part emitted for `stream_mode="updates"`."""
+
+    type: Literal["updates"]
+    """Stream part type discriminator."""
+    ns: list[str]
+    """Namespace path of the emitting node (empty for root graph)."""
+    data: dict[str, Any]
+    """Mapping of node names to their outputs."""
+
+
+class MessagesPartialStreamPart(TypedDict):
+    """Stream part emitted for partial message chunks (`messages/partial`)."""
+
+    type: Literal["messages/partial"]
+    """Stream part type discriminator."""
+    ns: list[str]
+    """Namespace path of the emitting node (empty for root graph)."""
+    data: list[dict[str, Any]]
+    """List of partial message chunk dicts."""
+
+
+class MessagesCompleteStreamPart(TypedDict):
+    """Stream part emitted for complete messages (`messages/complete`)."""
+
+    type: Literal["messages/complete"]
+    """Stream part type discriminator."""
+    ns: list[str]
+    """Namespace path of the emitting node (empty for root graph)."""
+    data: list[dict[str, Any]]
+    """List of complete message dicts."""
+
+
+class MessagesMetadataStreamPart(TypedDict):
+    """Stream part emitted for message metadata (`messages/metadata`)."""
+
+    type: Literal["messages/metadata"]
+    """Stream part type discriminator."""
+    ns: list[str]
+    """Namespace path of the emitting node (empty for root graph)."""
+    data: dict[str, Any]
+    """Metadata dict for the message (e.g. `langgraph_step`, `langgraph_node`)."""
+
+
+class MessagesTupleStreamPart(TypedDict):
+    """Stream part emitted for `stream_mode="messages"` (raw message+metadata pair)."""
+
+    type: Literal["messages"]
+    """Stream part type discriminator."""
+    ns: list[str]
+    """Namespace path of the emitting node (empty for root graph)."""
+    data: list[dict[str, Any]]
+    """Two-element list of `[message_dict, metadata_dict]`."""
+
+
+class CustomStreamPart(TypedDict):
+    """Stream part emitted for `stream_mode="custom"`."""
+
+    type: Literal["custom"]
+    """Stream part type discriminator."""
+    ns: list[str]
+    """Namespace path of the emitting node (empty for root graph)."""
+    data: Any
+    """User-defined data passed to `StreamWriter` inside a node."""
+
+
+class CheckpointsStreamPart(TypedDict):
+    """Stream part emitted for `stream_mode="checkpoints"`."""
+
+    type: Literal["checkpoints"]
+    """Stream part type discriminator."""
+    ns: list[str]
+    """Namespace path of the emitting node (empty for root graph)."""
+    data: CheckpointPayload
+    """The checkpoint payload."""
+
+
+class TasksStreamPart(TypedDict):
+    """Stream part emitted for `stream_mode="tasks"`."""
+
+    type: Literal["tasks"]
+    """Stream part type discriminator."""
+    ns: list[str]
+    """Namespace path of the emitting node (empty for root graph)."""
+    data: TaskPayload | TaskResultPayload
+    """Task start or task result payload."""
+
+
+class DebugStreamPart(TypedDict):
+    """Stream part emitted for `stream_mode="debug"`."""
+
+    type: Literal["debug"]
+    """Stream part type discriminator."""
+    ns: list[str]
+    """Namespace path of the emitting node (empty for root graph)."""
+    data: DebugPayload
+    """The debug event payload."""
+
+
+class MetadataStreamPart(TypedDict):
+    """Control event with `run_id` and other run metadata."""
+
+    type: Literal["metadata"]
+    """Stream part type discriminator."""
+    ns: list[str]
+    """Namespace path (empty for root graph)."""
+    data: RunMetadataPayload
+    """The run metadata payload."""
+
+
+StreamPartV2 = (
+    ValuesStreamPart
+    | UpdatesStreamPart
+    | MessagesPartialStreamPart
+    | MessagesCompleteStreamPart
+    | MessagesMetadataStreamPart
+    | MessagesTupleStreamPart
+    | CustomStreamPart
+    | CheckpointsStreamPart
+    | TasksStreamPart
+    | DebugStreamPart
+    | MetadataStreamPart
+)
+"""Discriminated union of all v2 stream part types.
+
+Use `part["type"]` to narrow the type.
+"""
+
+
 class Send(TypedDict):
     """Represents a message to be sent to a specific node in the graph.
 

libs/sdk-py/pyproject.toml

@@ -30,10 +30,10 @@ test = [
     "pytest-watch",
 ]
 lint = [
-    "ruff==0.15.1",
+    "ruff==0.15.6",
     "codespell",
     "mypy==1.19.1",
-    "ty==0.0.17",
+    "ty==0.0.23",
     "starlette",
 ]
 dev = [

libs/sdk-py/tests/test_cache.py

@@ -0,0 +1,69 @@
+from datetime import timedelta
+from unittest.mock import AsyncMock
+
+import pytest
+
+import langgraph_sdk.cache as cache_module
+
+
+@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)

libs/sdk-py/tests/test_client_stream.py

@@ -2,18 +2,39 @@ from __future__ import annotations
 
 from collections.abc import Iterator, Sequence
 from pathlib import Path
+from typing import Any
 
 import httpx
 import pytest
+from typing_extensions import assert_type
 
+from langgraph_sdk._shared.utilities import _sse_to_v2_dict
 from langgraph_sdk.client import HttpClient, SyncHttpClient
-from langgraph_sdk.schema import StreamPart
+from langgraph_sdk.schema import (
+    CheckpointPayload,
+    CheckpointsStreamPart,
+    CustomStreamPart,
+    DebugPayload,
+    DebugStreamPart,
+    MetadataStreamPart,
+    RunMetadataPayload,
+    StreamPart,
+    StreamPartV2,
+    TaskPayload,
+    TaskResultPayload,
+    TasksStreamPart,
+    UpdatesStreamPart,
+    ValuesStreamPart,
+)
 from langgraph_sdk.sse import BytesLike, BytesLineDecoder, SSEDecoder
 
 with open(Path(__file__).parent / "fixtures" / "response.txt", "rb") as f:
     RESPONSE_PAYLOAD = f.read()
 
 
+# --- test helpers ---
+
+
 class AsyncListByteStream(httpx.AsyncByteStream):
     def __init__(self, chunks: Sequence[bytes], exc: Exception | None = None) -> None:
         self._chunks = list(chunks)
@@ -50,6 +71,24 @@ def iter_lines_raw(payload: list[bytes]) -> Iterator[BytesLike]:
     yield from decoder.flush()
 
 
+_V2_REQUIRED_KEYS = {"type", "ns", "data"}
+
+
+def _assert_v2_shape(part: Any) -> None:
+    """Assert a v2 stream part has the required keys and types."""
+    assert isinstance(part, dict), f"Expected dict, got {type(part)}"
+    assert part.keys() >= _V2_REQUIRED_KEYS, (
+        f"Missing keys: {_V2_REQUIRED_KEYS - part.keys()}"
+    )
+    assert isinstance(part["type"], str)
+    assert isinstance(part["ns"], list)
+    for elem in part["ns"]:
+        assert isinstance(elem, str)
+
+
+# --- SSE parsing ---
+
+
 def test_stream_sse():
     for groups in (
         [RESPONSE_PAYLOAD],
@@ -69,6 +108,9 @@ def test_stream_sse():
         assert len(parts) == 79
 
 
+# --- HTTP client streaming ---
+
+
 @pytest.mark.asyncio
 async def test_http_client_stream_flushes_trailing_event():
     payload = b'event: foo\ndata: {"bar": 1}\n'
@@ -92,6 +134,26 @@ async def test_http_client_stream_flushes_trailing_event():
     assert parts == [StreamPart(event="foo", data={"bar": 1})]
 
 
+def test_sync_http_client_stream_flushes_trailing_event():
+    payload = b'event: foo\ndata: {"bar": 1}\n'
+
+    def handler(request: httpx.Request) -> httpx.Response:
+        assert request.headers["accept"] == "text/event-stream"
+        assert request.headers["cache-control"] == "no-store"
+        return httpx.Response(
+            200,
+            headers={"Content-Type": "text/event-stream"},
+            content=payload,
+        )
+
+    transport = httpx.MockTransport(handler)
+    with httpx.Client(transport=transport, base_url="https://example.com") as client:
+        http_client = SyncHttpClient(client)
+        parts = list(http_client.stream("/stream", "GET"))
+
+    assert parts == [StreamPart(event="foo", data={"bar": 1})]
+
+
 def test_sync_http_client_stream_recovers_after_disconnect():
     reconnect_path = "/reconnect"
     first_chunks = [
@@ -228,21 +290,178 @@ async def test_http_client_stream_recovers_after_disconnect():
     ]
 
 
-def test_sync_http_client_stream_flushes_trailing_event():
-    payload = b'event: foo\ndata: {"bar": 1}\n'
+# --- _sse_to_v2_dict conversion ---
 
-    def handler(request: httpx.Request) -> httpx.Response:
-        assert request.headers["accept"] == "text/event-stream"
-        assert request.headers["cache-control"] == "no-store"
-        return httpx.Response(
-            200,
-            headers={"Content-Type": "text/event-stream"},
-            content=payload,
+
+def test_sse_to_v2_dict_basic() -> None:
+    result = _sse_to_v2_dict("values", {"messages": [{"role": "user"}]})
+    assert result is not None
+    _assert_v2_shape(result)
+    assert result == {
+        "type": "values",
+        "ns": [],
+        "data": {"messages": [{"role": "user"}]},
+        "interrupts": [],
+    }
+
+
+def test_sse_to_v2_dict_with_namespace() -> None:
+    result = _sse_to_v2_dict("updates|sub:abc", {"key": "val"})
+    assert result is not None
+    _assert_v2_shape(result)
+    assert result == {
+        "type": "updates",
+        "ns": ["sub:abc"],
+        "data": {"key": "val"},
+        "interrupts": [],
+    }
+
+
+def test_sse_to_v2_dict_with_multiple_ns() -> None:
+    result = _sse_to_v2_dict("custom|parent|child:123", "hello")
+    assert result is not None
+    _assert_v2_shape(result)
+    assert result == {
+        "type": "custom",
+        "ns": ["parent", "child:123"],
+        "data": "hello",
+        "interrupts": [],
+    }
+
+
+def test_sse_to_v2_dict_end_event() -> None:
+    assert _sse_to_v2_dict("end", None) is None
+
+
+def test_sse_to_v2_dict_metadata_event() -> None:
+    result = _sse_to_v2_dict("metadata", {"run_id": "abc-123"})
+    assert result is not None
+    _assert_v2_shape(result)
+    assert result == {
+        "type": "metadata",
+        "ns": [],
+        "data": {"run_id": "abc-123"},
+        "interrupts": [],
+    }
+
+
+def test_sse_to_v2_dict_messages_partial() -> None:
+    result = _sse_to_v2_dict("messages/partial", [{"type": "ai", "content": "hi"}])
+    assert result is not None
+    _assert_v2_shape(result)
+    assert result == {
+        "type": "messages/partial",
+        "ns": [],
+        "data": [{"type": "ai", "content": "hi"}],
+        "interrupts": [],
+    }
+
+
+def test_sse_to_v2_dict_values_with_interrupts() -> None:
+    data = {
+        "messages": [{"role": "user"}],
+        "__interrupt__": [{"value": "confirm?", "resumable": True}],
+    }
+    result = _sse_to_v2_dict("values", data)
+    assert result is not None
+    _assert_v2_shape(result)
+    assert result == {
+        "type": "values",
+        "ns": [],
+        "data": {"messages": [{"role": "user"}]},
+        "interrupts": [{"value": "confirm?", "resumable": True}],
+    }
+    # __interrupt__ should be popped from data
+    assert "__interrupt__" not in result["data"]
+
+
+# --- client-side v2 stream wrapping ---
+
+
+@pytest.mark.asyncio
+async def test_async_stream_v2_client_side_conversion() -> None:
+    from langgraph_sdk._async.runs import _wrap_stream_v2
+
+    async def mock_stream() -> Any:
+        yield StreamPart(event="metadata", data={"run_id": "r1"})
+        yield StreamPart(
+            event="values", data={"messages": [{"role": "user", "content": "hi"}]}
         )
+        yield StreamPart(event="updates|sub:abc", data={"node": {"out": 1}})
+        yield StreamPart(event="end", data=None)  # type: ignore[arg-type]
 
-    transport = httpx.MockTransport(handler)
-    with httpx.Client(transport=transport, base_url="https://example.com") as client:
-        http_client = SyncHttpClient(client)
-        parts = list(http_client.stream("/stream", "GET"))
+    parts: list[StreamPartV2] = [part async for part in _wrap_stream_v2(mock_stream())]
+    assert len(parts) == 3
+    for part in parts:
+        _assert_v2_shape(part)
+    assert parts[0] == {
+        "type": "metadata",
+        "ns": [],
+        "data": {"run_id": "r1"},
+        "interrupts": [],
+    }
+    assert parts[1] == {
+        "type": "values",
+        "ns": [],
+        "data": {"messages": [{"role": "user", "content": "hi"}]},
+        "interrupts": [],
+    }
+    assert parts[2] == {
+        "type": "updates",
+        "ns": ["sub:abc"],
+        "data": {"node": {"out": 1}},
+        "interrupts": [],
+    }
 
-    assert parts == [StreamPart(event="foo", data={"bar": 1})]
+
+def test_sync_stream_v2_client_side_conversion() -> None:
+    from langgraph_sdk._sync.runs import _wrap_stream_v2_sync
+
+    def mock_stream() -> Any:
+        yield StreamPart(event="metadata", data={"run_id": "r1"})
+        yield StreamPart(event="values", data={"state": "full"})
+        yield StreamPart(event="end", data=None)  # type: ignore[arg-type]
+
+    parts: list[StreamPartV2] = list(_wrap_stream_v2_sync(mock_stream()))
+    assert len(parts) == 2
+    for part in parts:
+        _assert_v2_shape(part)
+    assert parts[0] == {
+        "type": "metadata",
+        "ns": [],
+        "data": {"run_id": "r1"},
+        "interrupts": [],
+    }
+    assert parts[1] == {
+        "type": "values",
+        "ns": [],
+        "data": {"state": "full"},
+        "interrupts": [],
+    }
+
+
+# --- type narrowing compile-time checks ---
+
+
+def _check_v2_type_narrowing(part: StreamPartV2) -> None:
+    """Compile-time type narrowing checks — validates mypy narrows the union."""
+    if part["type"] == "values":
+        assert_type(part, ValuesStreamPart)
+        assert_type(part["data"], dict[str, Any])
+    elif part["type"] == "updates":
+        assert_type(part, UpdatesStreamPart)
+        assert_type(part["data"], dict[str, Any])
+    elif part["type"] == "custom":
+        assert_type(part, CustomStreamPart)
+    elif part["type"] == "checkpoints":
+        assert_type(part, CheckpointsStreamPart)
+        assert_type(part["data"], CheckpointPayload)
+    elif part["type"] == "tasks":
+        assert_type(part, TasksStreamPart)
+        assert_type(part["data"], TaskPayload | TaskResultPayload)
+    elif part["type"] == "debug":
+        assert_type(part, DebugStreamPart)
+        assert_type(part["data"], DebugPayload)
+    elif part["type"] == "metadata":
+        assert_type(part, MetadataStreamPart)
+        assert_type(part["data"], RunMetadataPayload)

libs/sdk-py/uv.lock

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