refactor: extract _track helper for available_channels sync in apply_writes

Replace 5 repeated inline blocks that sync available_channels with
a local _track() helper that checks is_available() and updates the
set, returning the availability bool for callers that also need to
update updated_channels.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

.github/workflows/_integration_test.yml

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

.github/workflows/ci.yml

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

.markdownlint.json

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

README.md

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

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

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

libs/checkpoint-conformance/uv.lock

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

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

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

libs/checkpoint-postgres/pyproject.toml

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

libs/checkpoint-postgres/tests/test_async_store.py

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

libs/checkpoint-postgres/uv.lock

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

libs/checkpoint/langgraph/store/base/batch.py

@@ -328,9 +328,6 @@ async def _run(
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 ) -> 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():
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@@ -338,9 +335,6 @@ async def _run(
                 items = [item]
                 try:
                     while item := aqueue.get_nowait():
-                        # don't insert if the future is done (e.g. cancelled)
-                        if item[0].done():
-                            continue
                         items.append(item)
                 except asyncio.QueueEmpty:
                     pass

libs/checkpoint/uv.lock

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+    { url = "https://files.pythonhosted.org/packages/c3/9c/d1db14469e32d98f3ca27079dbd30b7b44dbb5317d06ab36718dee3baf03/ruff-0.15.5-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:b30da330cbd03bed0c21420b6b953158f60c74c54c5f4c1dabbdf3a57bf355d2", size = 11304315, upload-time = "2026-03-05T20:06:10.867Z" },
-    { url = "https://files.pythonhosted.org/packages/6c/25/3fc9114abf979a41673ce877c08016f8e660ad6cf508c3957f537d2e9fa9/ruff-0.15.6-py3-none-win32.whl", hash = "sha256:bbf67d39832404812a2d23020dda68fee7f18ce15654e96fb1d3ad21a5fe436c", size = 10616872, upload-time = "2026-03-12T23:05:42.451Z" },
+    { url = "https://files.pythonhosted.org/packages/28/3a/950367aee7c69027f4f422059227b290ed780366b6aecee5de5039d50fa8/ruff-0.15.5-py3-none-win32.whl", hash = "sha256:732e5ee1f98ba5b3679029989a06ca39a950cced52143a0ea82a2102cb592b74", size = 10551676, upload-time = "2026-03-05T20:06:13.705Z" },
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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==1.1.2"
+  "langgraph==1.0.8"
 ]

libs/cli/examples/graph_prerelease_reqs/pyproject.toml

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

libs/cli/examples/graph_prerelease_reqs_fail/pyproject.toml

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

libs/cli/js-examples/package.json

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

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

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

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

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

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

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

libs/cli/langgraph_cli/__init__.py

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

libs/cli/langgraph_cli/config.py

@@ -1,4 +1,3 @@
-import copy
 import json
 import os
 import pathlib
@@ -1233,15 +1232,11 @@ def node_config_to_docker(
     return os.linesep.join(docker_file_contents), {}
 
 
-def default_base_image(
+def default_base_image(config: Config) -> str:
-    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"
 
 
@@ -1334,7 +1329,6 @@ 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)
 
@@ -1368,11 +1362,6 @@ 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,
@@ -1390,7 +1379,7 @@ def config_to_compose(
             additional_contexts:
 {additional_contexts_str}"""
 
-        result = f"""
+        return f"""
 {textwrap.indent(env_vars_str, "            ")}
         {env_file_str}
         pull_policy: build
@@ -1400,60 +1389,3 @@ 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

@@ -149,7 +149,6 @@ 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:
@@ -208,19 +207,15 @@ 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": api_environment,
+        "environment": {
+            "REDIS_URI": "redis://langgraph-redis:6379",
+            "POSTGRES_URI": postgres_uri,
+        },
     }
     if image:
         services["langgraph-api"]["image"] = image
@@ -260,7 +255,6 @@ 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(
@@ -272,7 +266,6 @@ 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

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

libs/cli/langgraph_cli/host_backend.py

@@ -1,143 +0,0 @@
-"""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

@@ -12,12 +12,8 @@ class Progress:
         while True:
             yield from "|/-\\"
 
-    def __init__(self, *, message="", elapsed: bool = False):
+    def __init__(self, *, message=""):
         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):
@@ -33,23 +29,9 @@ 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):
-        start = time.monotonic()
+        while self.message:
-        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)
@@ -68,22 +50,21 @@ class Progress:
 
             def set_message(message):
                 self.message = message
-                self._base_message = message or self._base_message
+                if not message:
+                    self.thread.join()
 
             return set_message
         else:
 
             def set_message(message):
-                if message:
+                sys.stderr.write(message + "\n")
-                    sys.stderr.write(message + "\n")
+                sys.stderr.flush()
-                    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

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

libs/cli/langgraph_cli/util.py

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

libs/cli/pyproject.toml

@@ -13,9 +13,7 @@ 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"
@@ -23,6 +21,7 @@ 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

@@ -9,7 +9,6 @@ from pathlib import Path
 
 from click.testing import CliRunner
 
-import langgraph_cli.cli as cli_module
 from langgraph_cli.cli import cli, prepare_args_and_stdin
 from langgraph_cli.config import Config, _get_pip_cleanup_lines, validate_config
 from langgraph_cli.docker import DEFAULT_POSTGRES_URI, DockerCapabilities, Version
@@ -288,238 +287,6 @@ def test_version_option() -> None:
     )
 
 
-def test_top_level_help_shows_deploy_subcommands() -> None:
-    runner = CliRunner()
-
-    result = runner.invoke(cli, ["--help"])
-
-    assert result.exit_code == 0, result.output
-    assert "deploy" in result.output
-    assert "deploy list" in result.output
-    assert "deploy delete" in result.output
-    assert "[Beta] List LangSmith Deployments." in result.output
-
-
-def test_top_level_help_truncates_command_descriptions_to_single_line() -> None:
-    runner = CliRunner()
-
-    result = runner.invoke(cli, ["--help"])
-
-    assert result.exit_code == 0, result.output
-    lines = result.output.splitlines()
-    deploy_line = next(line for line in lines if line.strip().startswith("deploy"))
-    deploy_list_line = next(
-        line for line in lines if line.strip().startswith("deploy list")
-    )
-
-    assert not lines[lines.index(deploy_line) + 1].startswith("               ")
-    assert "..." in deploy_line
-    assert "[Beta] List LangSmith Deployments." in deploy_list_line
-
-
-def test_deploy_list_command(monkeypatch) -> None:
-    runner = CliRunner()
-    captured: dict[str, str] = {}
-
-    class FakeClient:
-        def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
-            captured["host_url"] = host_url
-            captured["api_key"] = api_key
-            captured["tenant_id"] = tenant_id or ""
-
-        def list_deployments(self, name_contains: str = ""):
-            captured["name_contains"] = name_contains
-            return {
-                "resources": [
-                    {
-                        "id": "dep-123",
-                        "name": "alpha",
-                        "source_config": {"custom_url": "https://alpha.example.com"},
-                    },
-                    {
-                        "id": "dep-456",
-                        "name": "beta",
-                        "source_config": {"custom_url": "https://beta.example.com"},
-                    },
-                ]
-            }
-
-    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
-
-    result = runner.invoke(
-        cli,
-        [
-            "deploy",
-            "list",
-            "--api-key",
-            "test-key",
-            "--host-url",
-            "https://api.example.com",
-            "--name-contains",
-            "alp",
-        ],
-    )
-
-    assert result.exit_code == 0, result.output
-    assert captured == {
-        "host_url": "https://api.example.com",
-        "api_key": "test-key",
-        "tenant_id": "",
-        "name_contains": "alp",
-    }
-    assert "Deployment ID" in result.output
-    assert "Deployment Name" in result.output
-    assert "Deployment URL" in result.output
-    assert "dep-123" in result.output
-    assert "https://beta.example.com" in result.output
-
-
-def test_deploy_list_command_no_results(monkeypatch) -> None:
-    runner = CliRunner()
-
-    class FakeClient:
-        def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
-            pass
-
-        def list_deployments(self, name_contains: str = ""):
-            return {"resources": []}
-
-    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
-
-    result = runner.invoke(
-        cli,
-        [
-            "deploy",
-            "list",
-            "--api-key",
-            "test-key",
-            "--host-url",
-            "https://api.example.com",
-        ],
-    )
-
-    assert result.exit_code == 0, result.output
-    assert result.output.strip() == "No deployments found."
-
-
-def test_deploy_delete_command(monkeypatch) -> None:
-    runner = CliRunner()
-    captured: dict[str, str] = {}
-
-    class FakeClient:
-        def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
-            captured["host_url"] = host_url
-            captured["api_key"] = api_key
-            captured["tenant_id"] = tenant_id or ""
-
-        def delete_deployment(self, deployment_id: str):
-            captured["deployment_id"] = deployment_id
-            return None
-
-    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
-
-    result = runner.invoke(
-        cli,
-        [
-            "deploy",
-            "delete",
-            "--api-key",
-            "test-key",
-            "--host-url",
-            "https://api.example.com",
-            "dep-123",
-        ],
-        input="y\n",
-    )
-
-    assert result.exit_code == 0, result.output
-    assert captured == {
-        "host_url": "https://api.example.com",
-        "api_key": "test-key",
-        "tenant_id": "",
-        "deployment_id": "dep-123",
-    }
-    assert (
-        "Are you sure you want to delete deployment ID dep-123? (Y/n):" in result.output
-    )
-    assert result.output.strip().endswith("Deleted deployment dep-123.")
-
-
-def test_deploy_delete_command_cancelled(monkeypatch) -> None:
-    runner = CliRunner()
-    deleted = False
-
-    class FakeClient:
-        def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
-            pass
-
-        def delete_deployment(self, deployment_id: str):
-            nonlocal deleted
-            deleted = True
-            return None
-
-    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
-
-    result = runner.invoke(
-        cli,
-        [
-            "deploy",
-            "delete",
-            "--api-key",
-            "test-key",
-            "--host-url",
-            "https://api.example.com",
-            "dep-123",
-        ],
-        input="n\n",
-    )
-
-    assert result.exit_code == 1, result.output
-    assert not deleted
-    assert "Aborted!" in result.output
-
-
-def test_deploy_delete_command_force(monkeypatch) -> None:
-    runner = CliRunner()
-    captured: dict[str, str] = {}
-
-    class FakeClient:
-        def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
-            captured["host_url"] = host_url
-            captured["api_key"] = api_key
-            captured["tenant_id"] = tenant_id or ""
-
-        def delete_deployment(self, deployment_id: str):
-            captured["deployment_id"] = deployment_id
-            return None
-
-    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
-
-    result = runner.invoke(
-        cli,
-        [
-            "deploy",
-            "delete",
-            "--force",
-            "--api-key",
-            "test-key",
-            "--host-url",
-            "https://api.example.com",
-            "dep-123",
-        ],
-    )
-
-    assert result.exit_code == 0, result.output
-    assert "Are you sure you want to delete deployment ID dep-123?" not in result.output
-    assert captured == {
-        "host_url": "https://api.example.com",
-        "api_key": "test-key",
-        "tenant_id": "",
-        "deployment_id": "dep-123",
-    }
-    assert result.output.strip() == "Deleted deployment dep-123."
-
-
 def test_dockerfile_command_basic() -> None:
     """Test the 'dockerfile' command with basic configuration."""
     runner = CliRunner()
@@ -1055,139 +822,3 @@ 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

@@ -13,7 +13,6 @@ 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,
@@ -1696,196 +1695,6 @@ 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

@@ -1,226 +0,0 @@
-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

@@ -368,61 +368,6 @@ 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

@@ -1,222 +0,0 @@
-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

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

libs/cli/tests/unit_tests/test_util.py

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

libs/cli/uv.lock

@@ -983,15 +983,14 @@ 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]
@@ -1022,11 +1021,10 @@ 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", specifier = ">=0.8.0" },
+    { name = "python-dotenv", marker = "extra == 'inmem'", specifier = ">=0.8.0" },
 ]
 provides-extras = ["inmem"]
 
@@ -1088,15 +1086,15 @@ wheels = [
 
 [[package]]
 name = "langgraph-sdk"
-version = "0.3.11"
+version = "0.3.9"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "httpx", marker = "python_full_version >= '3.11'" },
     { name = "orjson", marker = "python_full_version >= '3.11'" },
 ]
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+sdist = { url = "https://files.pythonhosted.org/packages/3a/bd/ca8ae5c6a34be6d4f7aa86016e010ff96b3a939456041565797952e3014d/langgraph_sdk-0.3.9.tar.gz", hash = "sha256:8be8958529b3f6d493ec248fdb46e539362efda75784654a42a7091d22504e0e", size = 184287, upload-time = "2026-02-24T18:39:03.276Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/6a/4c/7a7510260fbda788efd13bf4650d3e7d80988118441ac811ec78e0aa03ac/langgraph_sdk-0.3.9-py3-none-any.whl", hash = "sha256:94654294250c920789b6ed0d8a70c0117fed5736b61efc24ff647157359453c5", size = 90511, upload-time = "2026-02-24T18:39:02.012Z" },
 ]
 
 [[package]]
@@ -1796,11 +1794,11 @@ wheels = [
 
 [[package]]
 name = "pyjwt"
-version = "2.12.0"
+version = "2.11.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/a8/10/e8192be5f38f3e8e7e046716de4cae33d56fd5ae08927a823bb916be36c1/pyjwt-2.12.0.tar.gz", hash = "sha256:2f62390b667cd8257de560b850bb5a883102a388829274147f1d724453f8fb02", size = 102511, upload-time = "2026-03-12T17:15:30.831Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/5c/5a/b46fa56bf322901eee5b0454a34343cdbdae202cd421775a8ee4e42fd519/pyjwt-2.11.0.tar.gz", hash = "sha256:35f95c1f0fbe5d5ba6e43f00271c275f7a1a4db1dab27bf708073b75318ea623", size = 98019, upload-time = "2026-01-30T19:59:55.694Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/6f/01/c26ce75ba460d5cd503da9e13b21a33804d38c2165dec7b716d06b13010c/pyjwt-2.11.0-py3-none-any.whl", hash = "sha256:94a6bde30eb5c8e04fee991062b534071fd1439ef58d2adc9ccb823e7bcd0469", size = 28224, upload-time = "2026-01-30T19:59:54.539Z" },
 ]
 
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 ]
 
 [[package]]

libs/langgraph/langgraph/_internal/_constants.py

@@ -41,9 +41,6 @@ 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")
@@ -101,7 +98,6 @@ 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

@@ -1,90 +0,0 @@
-"""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/message.py

@@ -191,14 +191,8 @@ def add_messages(
     if not isinstance(right, list):
         right = [right]  # type: ignore[assignment]
     # coerce to message
-    left = [
+    left = [message_chunk_to_message(m) for m in convert_to_messages(left)]
-        message_chunk_to_message(cast(BaseMessageChunk, m))
+    right = [message_chunk_to_message(m) for m in convert_to_messages(right)]
-        for m in convert_to_messages(left)
-    ]
-    right = [
-        message_chunk_to_message(cast(BaseMessageChunk, m))
-        for m in convert_to_messages(right)
-    ]
     # assign missing ids
     for m in left:
         if m.id is None:

libs/langgraph/langgraph/pregel/_algo.py

@@ -220,6 +220,7 @@ def apply_writes(
     tasks: Iterable[WritesProtocol],
     get_next_version: GetNextVersion | None,
     trigger_to_nodes: Mapping[str, Sequence[str]],
+    available_channels: set[str] | None = None,
 ) -> set[str]:
     """Apply writes from a set of tasks (usually the tasks from a Pregel step)
     to the checkpoint and channels, and return managed values writes to be applied
@@ -266,6 +267,18 @@ def apply_writes(
             None,
         )
 
+    # Sync available_channels with channel's actual availability state.
+    # Returns True if the channel is available (for callers that also need
+    # to update updated_channels).
+    def _track(chan: str) -> bool:
+        avail = channels[chan].is_available()
+        if available_channels is not None:
+            if avail:
+                available_channels.add(chan)
+            else:
+                available_channels.discard(chan)
+        return avail
+
     # Consume all channels that were read
     for chan in {
         chan
@@ -275,6 +288,7 @@ def apply_writes(
     }:
         if channels[chan].consume() and next_version is not None:
             checkpoint["channel_versions"][chan] = next_version
+        _track(chan)
 
     # Group writes by channel
     pending_writes_by_channel: dict[str, list[Any]] = defaultdict(list)
@@ -296,18 +310,28 @@ def apply_writes(
             if channels[chan].update(vals) and next_version is not None:
                 checkpoint["channel_versions"][chan] = next_version
                 # unavailable channels can't trigger tasks, so don't add them
-                if channels[chan].is_available():
+                if _track(chan):
                     updated_channels.add(chan)
+            else:
+                _track(chan)
 
     # Channels that weren't updated in this step are notified of a new step
     if bump_step:
-        for chan in channels:
+        candidates = (
-            if channels[chan].is_available() and chan not in updated_channels:
+            available_channels - updated_channels
-                if channels[chan].update(EMPTY_SEQ) and next_version is not None:
+            if available_channels is not None
-                    checkpoint["channel_versions"][chan] = next_version
+            else (
-                    # unavailable channels can't trigger tasks, so don't add them
+                chan
-                    if channels[chan].is_available():
+                for chan in channels
-                        updated_channels.add(chan)
+                if channels[chan].is_available() and chan not in updated_channels
+            )
+        )
+        for chan in candidates:
+            if channels[chan].update(EMPTY_SEQ) and next_version is not None:
+                checkpoint["channel_versions"][chan] = next_version
+                # unavailable channels can't trigger tasks, so don't add them
+                if _track(chan):
+                    updated_channels.add(chan)
 
     # If this is (tentatively) the last superstep, notify all channels of finish
     if bump_step and updated_channels.isdisjoint(trigger_to_nodes):
@@ -315,8 +339,10 @@ def apply_writes(
             if channels[chan].finish() and next_version is not None:
                 checkpoint["channel_versions"][chan] = next_version
                 # unavailable channels can't trigger tasks, so don't add them
-                if channels[chan].is_available():
+                if _track(chan):
                     updated_channels.add(chan)
+            else:
+                _track(chan)
 
     # Return managed values writes to be applied externally
     return updated_channels
@@ -494,7 +520,7 @@ PUSH_TRIGGER = (PUSH,)
 
 
 class _TaskIDFn(Protocol):
-    def __call__(self, namespace: bytes, *parts: str | bytes) -> str:
+    def __call__(self, namespace: bytes, *parts: str) -> str:
         pass
 
 
@@ -1165,32 +1191,37 @@ def _proc_input(
     return val
 
 
-def _uuid5_str(namespace: bytes, *parts: str | bytes) -> str:
+def _uuid5_str(namespace: bytes, *parts: str) -> str:
     """Generate a UUID from the SHA-1 hash of a namespace and str parts."""
 
     sha = sha1(namespace, usedforsecurity=False)
-    sha.update(b"".join(p.encode() if isinstance(p, str) else p for p in parts))
+    sha.update(b"".join(p.encode() for p in parts))
     hex = sha.hexdigest()
     return f"{hex[:8]}-{hex[8:12]}-{hex[12:16]}-{hex[16:20]}-{hex[20:32]}"
 
 
-def _xxhash_str(namespace: bytes, *parts: str | bytes) -> str:
+def _xxhash_str(namespace: bytes, *parts: str) -> str:
     """Generate a UUID from the XXH3 hash of a namespace and str parts."""
-    hex = xxh3_128_hexdigest(
+    hex = xxh3_128_hexdigest(namespace + b"".join(p.encode() for p in parts))
-        namespace + b"".join(p.encode() if isinstance(p, str) else p for p in parts)
-    )
     return f"{hex[:8]}-{hex[8:12]}-{hex[12:16]}-{hex[16:20]}-{hex[20:32]}"
 
 
-def task_path_str(tup: str | int | tuple) -> str:
+def task_path_str(tup: str | int | tuple | list) -> str:
     """Generate a string representation of the task path."""
-    return (
+    if isinstance(tup, (tuple, list)):
-        f"~{', '.join(task_path_str(x) for x in tup)}"
+        parts: list[str] = []
-        if isinstance(tup, (tuple, list))
+        for x in tup:
-        else f"{tup:010d}"
+            if isinstance(x, int):
-        if isinstance(tup, int)
+                parts.append(f"{x:010d}")
-        else str(tup)
+            elif isinstance(x, (tuple, list)):
-    )
+                parts.append(task_path_str(x))
+            else:
+                parts.append(str(x))
+        return f"~{', '.join(parts)}"
+    elif isinstance(tup, int):
+        return f"{tup:010d}"
+    else:
+        return str(tup)
 
 
 LAZY_ATOMIC_COUNTER_LOCK = threading.Lock()

libs/langgraph/langgraph/pregel/_loop.py

@@ -42,7 +42,6 @@ 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,
@@ -59,7 +58,6 @@ 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
@@ -154,7 +152,7 @@ class PregelLoop:
     input_keys: str | Sequence[str]
     output_keys: str | Sequence[str]
     stream_keys: str | Sequence[str]
-    is_replaying: bool
+    skip_done_tasks: bool
     is_nested: bool
     manager: None | AsyncParentRunManager | ParentRunManager
     interrupt_after: All | Sequence[str]
@@ -182,6 +180,7 @@ class PregelLoop:
     _migrate_checkpoint: Callable[[Checkpoint], None] | None
     submit: Submit
     channels: Mapping[str, BaseChannel]
+    _available_channels: set[str]
     managed: ManagedValueMapping
     checkpoint: Checkpoint
     checkpoint_id_saved: str
@@ -246,7 +245,7 @@ class PregelLoop:
         self.interrupt_before = interrupt_before
         self.manager = manager
         self.is_nested = CONFIG_KEY_TASK_ID in self.config.get(CONF, {})
-        self.is_replaying = CONFIG_KEY_CHECKPOINT_ID in config[CONF]
+        self.skip_done_tasks = CONFIG_KEY_CHECKPOINT_ID not in config[CONF]
         self._migrate_checkpoint = migrate_checkpoint
         self.trigger_to_nodes = trigger_to_nodes
         self.retry_policy = retry_policy
@@ -453,7 +452,7 @@ class PregelLoop:
             # save the new task
             self.tasks[pushed.id] = pushed
             # match any pending writes to the new task
-            if not self.is_replaying:
+            if self.skip_done_tasks:
                 self._match_writes({pushed.id: pushed})
             # return the new task, to be started if not run before
             return pushed
@@ -517,7 +516,7 @@ class PregelLoop:
             return False
 
         # if there are pending writes from a previous loop, apply them
-        if not self.is_replaying and self.checkpoint_pending_writes:
+        if self.skip_done_tasks and self.checkpoint_pending_writes:
             self._match_writes(self.tasks)
 
         # before execution, check if we should interrupt
@@ -547,6 +546,7 @@ class PregelLoop:
             self.tasks.values(),
             self.checkpointer_get_next_version,
             self.trigger_to_nodes,
+            available_channels=self._available_channels,
         )
         # produce values output
         if not self.updated_channels.isdisjoint(
@@ -559,8 +559,8 @@ class PregelLoop:
             )
         # clear pending writes
         self.checkpoint_pending_writes.clear()
-        # only replay (re-execute) done tasks on the first tick
+        # "not skip_done_tasks" only applies to first tick after resuming
-        self.is_replaying = False
+        self.skip_done_tasks = True
         # save checkpoint
         self._put_checkpoint({"source": "loop"})
         # after execution, check if we should interrupt
@@ -620,21 +620,15 @@ class PregelLoop:
     def _first(
         self, *, input_keys: str | Sequence[str], updated_channels: set[str] | None
     ) -> set[str] | None:
-        # Resuming from a previous checkpoint requires two things:
+        # resuming from previous checkpoint requires
-        # 1. A prior checkpoint exists (channel_versions is non-empty)
+        # - finding a previous checkpoint
-        # 2. The input signals continuation (not a fresh run with new input)
+        # - receiving None input (outer graph) or RESUMING flag (subgraph)
-        # 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 input_is_command
+                or isinstance(self.input, Command)
                 or (
                     not self.is_nested
                     and self.config.get("metadata", {}).get("run_id")
@@ -643,36 +637,9 @@ 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 input_is_command:
+        if isinstance(self.input, Command):
-            if (resume := cast(Command, self.input).resume) is not None:
+            if (resume := self.input.resume) is not None:
                 if not self.checkpointer:
                     raise RuntimeError(
                         "Cannot use Command(resume=...) without checkpointer"
@@ -692,7 +659,7 @@ class PregelLoop:
 
             writes: defaultdict[str, list[tuple[str, Any]]] = defaultdict(list)
             # group writes by task ID
-            for tid, c, v in map_command(cmd=cast(Command, self.input)):
+            for tid, c, v in map_command(cmd=self.input):
                 if not (c == RESUME and resume_is_map):
                     writes[tid].append((c, v))
             if not writes and not resume_is_map:
@@ -710,6 +677,7 @@ class PregelLoop:
                 [PregelTaskWrites((), INPUT, null_writes, [])],
                 self.checkpointer_get_next_version,
                 self.trigger_to_nodes,
+                available_channels=self._available_channels,
             )
             if updated_channels is not None:
                 updated_channels.update(null_updated_channels)
@@ -752,36 +720,17 @@ class PregelLoop:
                 ],
                 self.checkpointer_get_next_version,
                 self.trigger_to_nodes,
+                available_channels=self._available_channels,
             )
             # save input checkpoint
             self.updated_channels = updated_channels
             self._put_checkpoint({"source": "input"})
         elif CONFIG_KEY_RESUMING not in configurable:
             raise EmptyInputError(f"Received no input for {input_keys}")
-        # Propagate resuming and replaying flags to subgraphs.
+        # update config
         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,
+                self.config, {CONFIG_KEY_RESUMING: is_resuming}
-                {
-                    CONFIG_KEY_RESUMING: is_resuming,
-                    CONFIG_KEY_REPLAY_STATE: replay_state,
-                },
             )
         # set flag
         self.status = "pending"
@@ -899,6 +848,7 @@ class PregelLoop:
                     self.tasks.values(),
                     self.checkpointer_get_next_version,
                     self.trigger_to_nodes,
+                    available_channels=self._available_channels,
                 )
                 if not updated_channels.isdisjoint(
                     (self.output_keys,)
@@ -1136,31 +1086,10 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
     # context manager
 
     def __enter__(self) -> Self:
-        if not self.checkpointer:
+        if 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
+            saved = None
-            # 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, []
@@ -1185,10 +1114,14 @@ 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
         )
+        self._available_channels: set[str] = {
+            k for k, v in self.channels.items() if v.is_available()
+        }
         self.stack.push(self._suppress_interrupt)
         self.status = "input"
         self.step = self.checkpoint_metadata["step"] + 1
@@ -1335,31 +1268,10 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
     # context manager
 
     async def __aenter__(self) -> Self:
-        if not self.checkpointer:
+        if 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
+            saved = None
-            # 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, []
@@ -1384,12 +1296,16 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
             if saved.pending_writes is not None
             else []
         )
+
         self.submit = await self.stack.enter_async_context(
             AsyncBackgroundExecutor(self.config)
         )
         self.channels, self.managed = channels_from_checkpoint(
             self.specs, self.checkpoint
         )
+        self._available_channels: set[str] = {
+            k for k, v in self.channels.items() if v.is_available()
+        }
         self.stack.push(self._suppress_interrupt)
         self.status = "input"
         self.step = self.checkpoint_metadata["step"] + 1

libs/langgraph/langgraph/pregel/_retry.py

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

libs/langgraph/langgraph/pregel/main.py

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

libs/langgraph/langgraph/pregel/protocol.py

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

libs/langgraph/langgraph/pregel/remote.py

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

libs/langgraph/langgraph/runtime.py

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

libs/langgraph/langgraph/types.py

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

libs/langgraph/pyproject.toml

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

libs/langgraph/tests/test_remote_graph.py

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

libs/langgraph/tests/test_retry.py

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

libs/langgraph/tests/test_stream_v2.py

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

libs/langgraph/uv.lock

@@ -1348,7 +1348,7 @@ wheels = [
 
 [[package]]
 name = "langchain-core"
-version = "1.2.19"
+version = "1.2.17"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jsonpatch" },
@@ -1360,14 +1360,14 @@ dependencies = [
     { name = "typing-extensions" },
     { name = "uuid-utils" },
 ]
-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" }
+sdist = { url = "https://files.pythonhosted.org/packages/1d/93/36226f593df52b871fc24d494c274f3a6b2ac76763a2806e7d35611634a1/langchain_core-1.2.17.tar.gz", hash = "sha256:54aa267f3311e347fb2e50951fe08e53761cebfb999ab80e6748d70525bbe872", size = 836130, upload-time = "2026-03-02T22:47:55.846Z" }
 wheels = [
-    { 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" },
+    { url = "https://files.pythonhosted.org/packages/be/90/073f33ab383a62908eca7ea699586dfea280e77182176e33199c80ddf22a/langchain_core-1.2.17-py3-none-any.whl", hash = "sha256:bf6bd6ce503874e9c2da1669a69383e967c3de1ea808921d19a9a6bff1a9fbbe", size = 502727, upload-time = "2026-03-02T22:47:54.537Z" },
 ]
 
 [[package]]
 name = "langgraph"
-version = "1.1.3"
+version = "1.0.10"
 source = { editable = "." }
 dependencies = [
     { name = "langchain-core" },
@@ -1596,7 +1596,7 @@ test = [
 
 [[package]]
 name = "langgraph-checkpoint-postgres"
-version = "3.0.5"
+version = "3.0.4"
 source = { editable = "../checkpoint-postgres" }
 dependencies = [
     { name = "langgraph-checkpoint" },
@@ -1689,25 +1689,23 @@ 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", specifier = ">=0.8.0" },
+    { name = "python-dotenv", marker = "extra == 'inmem'", specifier = ">=0.8.0" },
 ]
 provides-extras = ["inmem"]
 
@@ -1828,16 +1826,16 @@ dev = [
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },
     { name = "pytest-watch" },
-    { name = "ruff", specifier = "==0.15.6" },
+    { name = "ruff", specifier = "==0.15.1" },
     { name = "starlette" },
-    { name = "ty", specifier = "==0.0.23" },
+    { name = "ty", specifier = "==0.0.17" },
 ]
 lint = [
     { name = "codespell" },
     { name = "mypy", specifier = "==1.19.1" },
-    { name = "ruff", specifier = "==0.15.6" },
+    { name = "ruff", specifier = "==0.15.1" },
     { name = "starlette" },
-    { name = "ty", specifier = "==0.0.23" },
+    { name = "ty", specifier = "==0.0.17" },
 ]
 test = [
     { name = "pytest" },
@@ -2294,83 +2292,83 @@ wheels = [
 
 [[package]]
 name = "orjson"
-version = "3.11.6"
+version = "3.11.5"
 source = { registry = "https://pypi.org/simple" }
-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" }
+sdist = { url = "https://files.pythonhosted.org/packages/04/b8/333fdb27840f3bf04022d21b654a35f58e15407183aeb16f3b41aa053446/orjson-3.11.5.tar.gz", hash = "sha256:82393ab47b4fe44ffd0a7659fa9cfaacc717eb617c93cde83795f14af5c2e9d5", size = 5972347, upload-time = "2025-12-06T15:55:39.458Z" }
 wheels = [
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 ]
 
 [[package]]

libs/prebuilt/langgraph/prebuilt/chat_agent_executor.py

@@ -638,15 +638,18 @@ def create_react_agent(
             messages = (
                 _get_state_value(state, "llm_input_messages")
             ) or _get_state_value(state, "messages")
-            error_msg = f"Expected input to call_model to have 'llm_input_messages' or 'messages' key, but got {state}"
         else:
             messages = _get_state_value(state, "messages")
-            error_msg = (
-                f"Expected input to call_model to have 'messages' key, but got {state}"
-            )
 
         if messages is None:
-            raise ValueError(error_msg)
+            if pre_model_hook is not None:
+                raise ValueError(
+                    f"Expected input to call_model to have 'llm_input_messages' or 'messages' key, but got {state}"
+                )
+            else:
+                raise ValueError(
+                    f"Expected input to call_model to have 'messages' key, but got {state}"
+                )
 
         _validate_chat_history(messages)
         # we're passing messages under `messages` key, as this is expected by the prompt

libs/prebuilt/uv.lock

@@ -249,7 +249,7 @@ wheels = [
 
 [[package]]
 name = "langchain-core"
-version = "1.2.19"
+version = "1.2.17"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jsonpatch" },
@@ -261,14 +261,14 @@ dependencies = [
     { name = "typing-extensions" },
     { name = "uuid-utils" },
 ]
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+    { url = "https://files.pythonhosted.org/packages/be/90/073f33ab383a62908eca7ea699586dfea280e77182176e33199c80ddf22a/langchain_core-1.2.17-py3-none-any.whl", hash = "sha256:bf6bd6ce503874e9c2da1669a69383e967c3de1ea808921d19a9a6bff1a9fbbe", size = 502727, upload-time = "2026-03-02T22:47:54.537Z" },
 ]
 
 [[package]]
 name = "langgraph"
-version = "1.1.3"
+version = "1.0.10"
 source = { editable = "../langgraph" }
 dependencies = [
     { name = "langchain-core" },
@@ -400,7 +400,7 @@ test = [
 
 [[package]]
 name = "langgraph-checkpoint-postgres"
-version = "3.0.5"
+version = "3.0.4"
 source = { editable = "../checkpoint-postgres" }
 dependencies = [
     { name = "langgraph-checkpoint" },
@@ -599,16 +599,16 @@ dev = [
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },
     { name = "pytest-watch" },
-    { name = "ruff", specifier = "==0.15.6" },
+    { name = "ruff", specifier = "==0.15.1" },
     { name = "starlette" },
-    { name = "ty", specifier = "==0.0.23" },
+    { name = "ty", specifier = "==0.0.17" },
 ]
 lint = [
     { name = "codespell" },
     { name = "mypy", specifier = "==1.19.1" },
-    { name = "ruff", specifier = "==0.15.6" },
+    { name = "ruff", specifier = "==0.15.1" },
     { name = "starlette" },
-    { name = "ty", specifier = "==0.0.23" },
+    { name = "ty", specifier = "==0.0.17" },
 ]
 test = [
     { name = "pytest" },
@@ -766,83 +766,83 @@ wheels = [
 
 [[package]]
 name = "orjson"
-version = "3.11.6"
+version = "3.11.5"
 source = { registry = "https://pypi.org/simple" }
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 ]
 
 [[package]]

libs/sdk-py/langgraph_sdk/__init__.py

@@ -3,6 +3,6 @@ from langgraph_sdk.client import get_client, get_sync_client
 from langgraph_sdk.encryption import Encryption
 from langgraph_sdk.encryption.types import EncryptionContext
 
-__version__ = "0.3.11"
+__version__ = "0.3.9"
 
 __all__ = ["Auth", "Encryption", "EncryptionContext", "get_client", "get_sync_client"]

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

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

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: dict[str, Any] = {"namespace": ".".join(namespace), "key": key}
+        get_params = {"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

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

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

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

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: dict[str, Any] = {"key": key, "namespace": ".".join(namespace)}
+        query_params = {"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

@@ -1,62 +0,0 @@
-"""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 datetime import timedelta
-from typing import Any
-
-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
-
-
-__all__ = [
-    "cache_get",
-    "cache_set",
-]
-
-
-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)

libs/sdk-py/langgraph_sdk/schema.py

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

libs/sdk-py/pyproject.toml

@@ -30,10 +30,10 @@ test = [
     "pytest-watch",
 ]
 lint = [
-    "ruff==0.15.6",
+    "ruff==0.15.1",
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