Update libs/langgraph/langgraph/graph/state.py

.github/scripts/check_sdk_methods.py

@@ -1,15 +1,10 @@
 import ast
 import os
 from itertools import filterfalse
-from typing import Dict, List, Tuple
+from typing import List, Tuple
 
 ROOT_PATH = os.path.abspath(os.path.join(__file__, "..", "..", ".."))
 CLIENT_PATH = os.path.join(ROOT_PATH, "libs", "sdk-py", "langgraph_sdk", "client.py")
-ASYNC_TO_SYNC_METHOD_MAP: Dict[str, str] = {
-    "aclose": "close",
-    "__aenter__": "__enter__",
-    "__aexit__": "__exit__",
-}
 
 
 def get_class_methods(node: ast.ClassDef) -> List[str]:
@@ -27,7 +22,7 @@ def find_classes(tree: ast.AST) -> List[Tuple[str, List[str]]]:
 
 def compare_sync_async_methods(sync_methods: List[str], async_methods: List[str]) -> List[str]:
     sync_set = set(sync_methods)
-    async_set = {ASYNC_TO_SYNC_METHOD_MAP.get(async_method, async_method) for async_method in async_methods}
+    async_set = set(async_methods)
     missing_in_sync = list(async_set - sync_set)
     missing_in_async = list(sync_set - async_set)
     return missing_in_sync + missing_in_async

.github/scripts/run_langgraph_cli_test.py

@@ -1,145 +1,107 @@
+import asyncio
+import json
+import os
 import pathlib
 import sys
-import time
-from urllib import request, error
-
 import langgraph_cli
-import langgraph_cli.config
 import langgraph_cli.docker
-from langgraph_cli.cli import prepare_args_and_stdin
-from langgraph_cli.constants import DEFAULT_PORT
+import langgraph_cli.config
+
 from langgraph_cli.exec import Runner, subp_exec
 from langgraph_cli.progress import Progress
+from langgraph_cli.constants import DEFAULT_PORT
 
 
-def test(config: pathlib.Path, port: int, tag: str, verbose: bool):
-    """Spin up API with Postgres/Redis via docker compose and wait until ready."""
+def test(
+    config: pathlib.Path,
+    port: int,
+    tag: str,
+    verbose: bool,
+):
     with Runner() as runner, Progress(message="Pulling...") as set:
-        # Detect docker/compose capabilities
+        # check docker available
         capabilities = langgraph_cli.docker.check_capabilities(runner)
-
-        # Validate config and prepare compose stdin/args using built image
+        # open config
         config_json = langgraph_cli.config.validate_config_file(config)
-        args, stdin = prepare_args_and_stdin(
-            capabilities=capabilities,
-            config_path=config,
-            config=config_json,
-            docker_compose=None,
-            port=port,
-            watch=False,
-            debugger_port=None,
-            debugger_base_url=f"http://127.0.0.1:{port}",
-            postgres_uri=None,
-            api_version=None,
-            image=tag,
-            base_image=None,
-        )
 
-        # Compose up with wait (implies detach), similar to `langgraph up --wait`
-        args_up = [*args, "up", "--remove-orphans", "--wait"]
+        set("Running...")
+        args = [
+            "run",
+            "--rm",
+            "-p",
+            f"{port}:8000",
+        ]
+        if isinstance(config_json["env"], str):
+            args.extend(
+                [
+                    "--env-file",
+                    str(config.parent / config_json["env"]),
+                ]
+            )
+        else:
+            for k, v in config_json["env"].items():
+                args.extend(
+                    [
+                        "-e",
+                        f"{k}={v}",
+                    ]
+                )
+        if capabilities.healthcheck_start_interval:
+            args.extend(
+                [
+                    "--health-interval",
+                    "5s",
+                    "--health-retries",
+                    "1",
+                    "--health-start-period",
+                    "10s",
+                    "--health-start-interval",
+                    "1s",
+                ]
+            )
+        else:
+            args.extend(
+                [
+                    "--health-interval",
+                    "5s",
+                    "--health-retries",
+                    "2",
+                ]
+            )
 
-        compose_cmd = ["docker", "compose"]
-        if capabilities.compose_type == "standalone":
-            compose_cmd = ["docker-compose"]
+        _task = None
+
+        def on_stdout(line: str):
+            nonlocal _task
+            if "GET /ok" in line or "Uvicorn running on" in line:
+                set("")
+                sys.stdout.write(
+                    f"""Ready!
+- API: http://localhost:{port}
+"""
+                )
+                sys.stdout.flush()
+                _task.cancel()
+                return True
+            return False
+
+        async def subp_exec_task(*args, **kwargs):
+            nonlocal _task
+            _task = asyncio.create_task(subp_exec(*args, **kwargs))
+            await _task
 
-        set("Starting...")
         try:
             runner.run(
-                subp_exec(
-                    *compose_cmd,
-                    *args_up,
-                    input=stdin,
+                subp_exec_task(
+                    "docker",
+                    *args,
+                    tag,
                     verbose=verbose,
+                    on_stdout=on_stdout,
                 )
             )
-        except Exception as e:  # noqa: BLE001
-            # On failure, show diagnostics then ensure clean teardown
-            sys.stderr.write(f"docker compose up failed: {e}\n")
-            try:
-                sys.stderr.write("\n== docker compose ps ==\n")
-                runner.run(subp_exec(*compose_cmd, *args, "ps", input=stdin, verbose=False))
-            except Exception:
-                pass
-            try:
-                sys.stderr.write("\n== docker compose logs (api) ==\n")
-                runner.run(
-                    subp_exec(
-                        *compose_cmd,
-                        *args,
-                        "logs",
-                        "langgraph-api",
-                        input=stdin,
-                        verbose=False,
-                    )
-                )
-            except Exception:
-                pass
-            finally:
-                try:
-                    runner.run(
-                        subp_exec(
-                            *compose_cmd,
-                            *args,
-                            "down",
-                            "-v",
-                            "--remove-orphans",
-                            input=stdin,
-                            verbose=False,
-                        )
-                    )
-                finally:
-                    raise
-
-        set("")
-        base_url = f"http://localhost:{port}"
-        ok_url = f"{base_url}/ok"
-        print(f"Waiting for {ok_url} to respond with 200...")
-        deadline = time.time() + 30
-        last_err: Exception | None = None
-        while time.time() < deadline:
-            try:
-                with request.urlopen(ok_url, timeout=2) as resp:
-                    if resp.status == 200:
-                        sys.stdout.write(
-                            f"""Ready!\n- API: {base_url}\n- /ok: 200 OK\n"""
-                        )
-                        sys.stdout.flush()
-                        break
-                    else:
-                        last_err = RuntimeError(f"Unexpected status: {resp.status}")
-                        print(f"Unexpected status: {resp.status}")
-            except error.URLError as e:
-                last_err = e
-            except Exception as e:  # noqa: BLE001
-                last_err = e
-            time.sleep(0.5)
-        else:
-            # Bring stack down before raising
-            args_down = [*args, "down", "-v", "--remove-orphans"]
-            try:
-                runner.run(
-                    subp_exec(
-                        *compose_cmd,
-                        *args_down,
-                        input=stdin,
-                        verbose=verbose,
-                    )
-                )
-            finally:
-                raise SystemExit(
-                    f"/ok did not return 202 within timeout. Last error: {last_err}"
-                )
-
-        # Clean up: bring compose stack down to free ports for next test
-        args_down = [*args, "down", "-v", "--remove-orphans"]
-        runner.run(
-            subp_exec(
-                *compose_cmd,
-                *args_down,
-                input=stdin,
-                verbose=verbose,
-            )
-        )
+        except asyncio.CancelledError:
+            pass
 
 
 if __name__ == "__main__":
@@ -148,6 +110,6 @@ if __name__ == "__main__":
     parser = argparse.ArgumentParser()
     parser.add_argument("-t", "--tag", type=str)
     parser.add_argument("-c", "--config", type=str, default="./langgraph.json")
-    parser.add_argument("-p", "--port", type=int, default=DEFAULT_PORT)
+    parser.add_argument("-p", "--port", default=DEFAULT_PORT)
     args = parser.parse_args()
     test(pathlib.Path(args.config), args.port, args.tag, verbose=True)

.github/workflows/_integration_test.yml

@@ -43,43 +43,28 @@ jobs:
       - name: Build and test service A
         if: steps.changed-files.outputs.all
         working-directory: libs/cli/examples
-        env:
-          LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
         run: |
           # The build-arg isn't used; just testing that we accept other args
-          langgraph build -t langgraph-test-a
-          cp .env.example .env
-          if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env; fi
+          langgraph build -t langgraph-test-a  --base-image "langchain/langgraph-trial"
+          cp .env.example .envg
           timeout 60 python ../../../.github/scripts/run_langgraph_cli_test.py -c langgraph.json -t langgraph-test-a
       - name: Build and test service B
         if: steps.changed-files.outputs.all
         working-directory: libs/cli/examples/graphs
-        env:
-          LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
         run: |
-          langgraph build -t langgraph-test-b
-          cp ../.env.example .env
-          if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env; fi
+          langgraph build -t langgraph-test-b  --base-image "langchain/langgraph-trial"
           timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-b
       - name: Build and test service C
         if: steps.changed-files.outputs.all
         working-directory: libs/cli/examples/graphs_reqs_a
-        env:
-          LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
         run: |
-          langgraph build -t langgraph-test-c
-          cp ../.env.example .env
-          if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env; fi
+          langgraph build -t langgraph-test-c  --base-image "langchain/langgraph-trial"
           timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-c
       - name: Build and test service D
         if: steps.changed-files.outputs.all
         working-directory: libs/cli/examples/graphs_reqs_b
-        env:
-          LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
         run: |
-          langgraph build -t langgraph-test-d
-          cp ../.env.example .env
-          if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env; fi
+          langgraph build -t langgraph-test-d  --base-image "langchain/langgraph-trial"
           timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-d
 
       - name: Build JS service
@@ -87,18 +72,3 @@ jobs:
         working-directory: libs/cli/js-examples
         run: |
           langgraph build -t langgraph-test-e
-
-      - name: Build JS monorepo service
-        if: steps.changed-files.outputs.all
-        working-directory: libs/cli/js-monorepo-example
-        run: |
-          langgraph build -t langgraph-test-f -c apps/agent/langgraph.json --build-command "yarn run turbo build" --install-command "yarn install"
-
-      - name: Build Python monorepo service
-        if: steps.changed-files.outputs.all
-        working-directory: libs/cli/python-monorepo-example
-        run: |
-          langgraph build -t langgraph-test-g -c apps/agent/langgraph.json
-          cp apps/agent/.env.example apps/agent/.env
-          if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> apps/agent/.env; fi
-          timeout 60 python ../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-g -c apps/agent/langgraph.json

.github/workflows/ci.yml

@@ -78,7 +78,6 @@ jobs:
             "libs/checkpoint-sqlite",
             "libs/checkpoint-postgres",
             "libs/prebuilt",
-            "libs/sdk-py",
           ]
     if: needs.changes.outputs.python == 'true' || needs.changes.outputs.deps == 'true'
     uses: ./.github/workflows/_test.yml

.github/workflows/release.yml

@@ -62,13 +62,7 @@ jobs:
         working-directory: ${{ inputs.working-directory }}
         run: |
           PKG_NAME=$(grep -m 1 "^name = " pyproject.toml | cut -d '"' -f 2)
-          if grep -q 'dynamic.*=.*\[.*"version".*\]' pyproject.toml; then
-            # handle dynamic versioning
-            DIR_NAME=$(echo "$PKG_NAME" | tr '-' '_')
-            VERSION=$(grep -m 1 '^__version__' "${DIR_NAME}/__init__.py" | cut -d '"' -f 2)
-          else
-            VERSION=$(grep -m 1 "^version = " pyproject.toml | cut -d '"' -f 2)
-          fi
+          VERSION=$(grep -m 1 "^version = " pyproject.toml | cut -d '"' -f 2)
           SHORT_PKG_NAME="$(echo "$PKG_NAME" | sed -e 's/langgraph//g' -e 's/-//g')"
           if [ -z $SHORT_PKG_NAME ]; then
             TAG="$VERSION"

docs/Makefile

@@ -18,9 +18,6 @@ build-prebuilt:
 build-docs: build-prebuilt
 	TARGET_LANGUAGE=python uv run python -m mkdocs build --clean -f mkdocs.yml --strict
 
-build-docs-js: build-prebuilt
-	TARGET_LANGUAGE=js uv run python -m mkdocs build --clean -f mkdocs.yml --strict
-
 llms-text:
 	uv run python -m _scripts.generate_llms_text docs/llms-full.txt
 

docs/_scripts/notebook_hooks.py

@@ -188,13 +188,13 @@ REDIRECT_MAP = {
     "cloud/deployment/custom_docker.md": "https://docs.langchain.com/langgraph-platform/custom-docker",
     "cloud/deployment/graph_rebuild.md": "https://docs.langchain.com/langgraph-platform/graph-rebuild",
     "concepts/langgraph_cloud.md": "https://docs.langchain.com/langgraph-platform/cloud",
-    "concepts/langgraph_self_hosted_data_plane.md": "https://docs.langchain.com/langgraph-platform/hybrid",
-    "concepts/langgraph_self_hosted_control_plane.md": "https://docs.langchain.com/langgraph-platform/self-hosted",
-    "concepts/langgraph_standalone_container.md": "https://docs.langchain.com/langgraph-platform/self-hosted#standalone-server",
+    "concepts/langgraph_self_hosted_data_plane.md": "https://docs.langchain.com/langgraph-platform/self-hosted-data-plane",
+    "concepts/langgraph_self_hosted_control_plane.md": "https://docs.langchain.com/langgraph-platform/self-hosted-control-plane",
+    "concepts/langgraph_standalone_container.md": "https://docs.langchain.com/langgraph-platform/standalone-container",
     "cloud/deployment/cloud.md": "https://docs.langchain.com/langgraph-platform/cloud",
-    "cloud/deployment/self_hosted_data_plane.md": "https://docs.langchain.com/langgraph-platform/deploy-hybrid",
-    "cloud/deployment/self_hosted_control_plane.md": "https://docs.langchain.com/langgraph-platform/deploy-self-hosted-full-platform",
-    "cloud/deployment/standalone_container.md": "https://docs.langchain.com/langgraph-platform/deploy-standalone-server",
+    "cloud/deployment/self_hosted_data_plane.md": "https://docs.langchain.com/langgraph-platform/deploy-self-hosted-data-plane",
+    "cloud/deployment/self_hosted_control_plane.md": "https://docs.langchain.com/langgraph-platform/deploy-self-hosted-control-plane",
+    "cloud/deployment/standalone_container.md": "https://docs.langchain.com/langgraph-platform/deploy-standalone-container",
     "concepts/server-mcp.md": "https://docs.langchain.com/langgraph-platform/server-mcp",
     "cloud/how-tos/human_in_the_loop_time_travel.md": "https://docs.langchain.com/langgraph-platform/human-in-the-loop-time-travel",
     "cloud/how-tos/add-human-in-the-loop.md": "https://docs.langchain.com/langgraph-platform/add-human-in-the-loop",

docs/docs/agents/agents.md

@@ -29,7 +29,7 @@ pip install -U langgraph "langchain[anthropic]"
 
 !!! info
 
-    `langchain[anthropic]` is installed so the agent can call the [model](https://python.langchain.com/docs/integrations/chat/).
+    LangChain is installed so the agent can call the [model](https://python.langchain.com/docs/integrations/chat/).
 
 :::
 
@@ -41,7 +41,7 @@ npm install @langchain/langgraph @langchain/core @langchain/anthropic
 
 !!! info
 
-    `@langchain/core` `@langchain/anthropic` are installed so the agent can call the [model](https://js.langchain.com/docs/integrations/chat/).
+    LangChain is installed so the agent can call the [model](https://js.langchain.com/docs/integrations/chat/).
 
 :::
 

docs/docs/agents/multi-agent.md

@@ -367,13 +367,13 @@ To implement handoffs with `createReactAgent`, you need to:
 
 3.  Define a parent graph that contains individual agents as nodes:
 
-    ```typescript
-    import { StateGraph, MessagesZodState } from "@langchain/langgraph";
-    const multiAgentGraph = new StateGraph(MessagesZodState)
-      .addNode("flight_assistant", flightAssistant)
-      .addNode("hotel_assistant", hotelAssistant)
-      // ...
-    ```
+        ```typescript
+        import { StateGraph, MessagesZodState } from "@langchain/langgraph";
+        const multiAgentGraph = new StateGraph(MessagesZodState)
+          .addNode("flight_assistant", flightAssistant)
+          .addNode("hotel_assistant", hotelAssistant)
+          // ...
+        ```
 
     :::
 
@@ -619,8 +619,7 @@ for await (const chunk of multiAgentGraph.stream({
 3. Name of the agent or node to hand off to.
 4. Take the agent's messages and **add** them to the parent's **state** as part of the handoff. The next agent will see the parent state.
 5. Indicate to LangGraph that we need to navigate to agent node in a **parent** multi-agent graph.
-
-:::
+   :::
 
 !!! Note
 

docs/docs/cloud/deployment/cloud.md

@@ -99,8 +99,8 @@ Starting from the `LangGraph Platform` view...
 1. In the top-right corner, select the gear icon (`Deployment Settings`).
 1. Update the `Git Branch` to the desired branch.
 1. Check/uncheck checkbox to `Automatically update deployment on push to branch`.
-1. Branch creation/deletion and tag creation/deletion events will not trigger an update. Only pushes to an existing branch will trigger an update.
-1. Pushes in quick succession to a branch will queue subsequent updates. Once a build completes, the most recent commit will begin building and the other queued builds will be skipped.
+    1. Branch creation/deletion and tag creation/deletion events will not trigger an update. Only pushes to an existing branch will trigger an update.
+    1. Pushes in quick succession to a branch will not trigger subsequent updates. In the future, this functionality may be changed/improved.
 
 ## Add or Remove GitHub Repositories
 

docs/docs/cloud/reference/cli.md

@@ -483,19 +483,19 @@ The LangGraph CLI requires a JSON configuration file that follows this [schema](
 
     RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 pip install --no-cache-dir -c /api/constraints.txt langchain_community langchain_anthropic langchain_openai wikipedia scikit-learn
 
-    ADD ./graphs /deps/outer-graphs/src
+    ADD ./graphs /deps/__outer_graphs/src
     RUN set -ex && \
         for line in '[project]' \
                     'name = "graphs"' \
                     'version = "0.1"' \
                     '[tool.setuptools.package-data]' \
                     '"*" = ["**/*"]'; do \
-            echo "$line" >> /deps/outer-graphs/pyproject.toml; \
+            echo "$line" >> /deps/__outer_graphs/pyproject.toml; \
         done
 
     RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 pip install --no-cache-dir -c /api/constraints.txt -e /deps/*
 
-    ENV LANGSERVE_GRAPHS='{"agent": "/deps/outer-graphs/src/agent.py:graph", "storm": "/deps/outer-graphs/src/storm.py:graph"}'
+    ENV LANGSERVE_GRAPHS='{"agent": "/deps/__outer_graphs/src/agent.py:graph", "storm": "/deps/__outer_graphs/src/storm.py:graph"}'
     ```
 
     ???+ note "Updating your langgraph.json file"

docs/docs/concepts/auth.md

@@ -35,8 +35,7 @@ LangGraph Platform provides different security defaults:
 - Can be customized with your auth handler
 
 !!! note "Custom auth"
-
-   Custom auth **is supported** for all plans in LangGraph Platform.
+Custom auth **is supported** for all plans in LangGraph Platform.
 
 ### Self-Hosted
 

docs/docs/concepts/durable_execution.md

@@ -51,51 +51,6 @@ For some examples of pitfalls to avoid, see the [Common Pitfalls](./functional_a
 how to structure your code using **tasks** to avoid these issues. The same principles apply to the @[StateGraph (Graph API)][StateGraph].
 :::
 
-## Durability modes
-
-LangGraph supports three durability modes that allow you to balance performance and data consistency based on your application's requirements. The durability modes, from least to most durable, are as follows:
-
-- [`"exit"`](#exit)
-- [`"async"`](#async)
-- [`"sync"`](#sync)
-
-A higher durability mode add more overhead to the workflow execution.
-
-!!! version-added "Added in v0.6.0"
-
-    Use the `durability` parameter instead of `checkpoint_during` (deprecated in v0.6.0) for persistence policy management:
-    
-    * `durability="async"` replaces `checkpoint_during=True`
-    * `durability="exit"` replaces `checkpoint_during=False`
-    
-    for persistence policy management, with the following mapping:
-
-    * `checkpoint_during=True` -> `durability="async"`
-    * `checkpoint_during=False` -> `durability="exit"`
-
-
-### `"exit"`
-Changes are persisted only when graph execution completes (either successfully or with an error). This provides the best performance for long-running graphs but means intermediate state is not saved, so you cannot recover from mid-execution failures or interrupt the graph execution.
-
-### `"async"`
-Changes are persisted asynchronously while the next step executes. This provides good performance and durability, but there's a small risk that checkpoints might not be written if the process crashes during execution.
-
-### `"sync"`
-Changes are persisted synchronously before the next step starts. This ensures that every checkpoint is written before continuing execution, providing high durability at the cost of some performance overhead.
-
-You can specify the durability mode when calling any graph execution method:
-
-:::python
-
-```python
-graph.stream(
-    {"input": "test"}, 
-    durability="sync"
-)
-```
-
-:::
-
 ## Using tasks in nodes
 
 If a [node](./low_level.md#nodes) contains multiple operations, you may find it easier to convert each operation into a **task** rather than refactor the operations into individual nodes.

docs/docs/concepts/low_level.md

@@ -88,6 +88,8 @@ Typically, all graph nodes communicate with a single schema. This means that the
 
 It is possible to have nodes write to private state channels inside the graph for internal node communication. We can simply define a private schema, `PrivateState`.
 
+See [this guide](../how-tos/graph-api.ipynb#pass-private-state-between-nodes) for more detail.
+
 It is also possible to define explicit input and output schemas for a graph. In these cases, we define an "internal" schema that contains _all_ keys relevant to graph operations. But, we also define `input` and `output` schemas that are sub-sets of the "internal" schema to constrain the input and output of the graph. See [this guide](../how-tos/graph-api.md#define-input-and-output-schemas) for more detail.
 
 Let's look at an example:
@@ -471,7 +473,7 @@ const builder = new StateGraph(State);
 
 :::
 
-Behind the scenes, functions are converted to [RunnableLambda](https://python.langchain.com/api_reference/core/runnables/langchain_core.runnables.base.RunnableLambda.html)s, which add batch and async support to your function, along with native tracing and debugging.
+Behind the scenes, functions are converted to [RunnableLambda](https://api.python.langchain.com/en/latest/runnables/langchain_core.runnables.base.RunnableLambda.html#langchain_core.runnables.base.RunnableLambda)s, which add batch and async support to your function, along with native tracing and debugging.
 
 If you add a node to a graph without specifying a name, it will be given a default name equivalent to the function name.
 
@@ -699,8 +701,7 @@ graph.addConditionalEdges("nodeA", routingFunction, {
 :::
 
 !!! tip
-
-    Use [`Command`](#command) instead of conditional edges if you want to combine state updates and routing in a single function.
+Use [`Command`](#command) instead of conditional edges if you want to combine state updates and routing in a single function.
 
 ### Entry Point
 
@@ -819,6 +820,7 @@ def my_node(state: State) -> Command[Literal["my_other_node"]]:
         return Command(update={"foo": "baz"}, goto="my_other_node")
 ```
 
+Check out this [how-to guide](../how-tos/graph-api.ipynb#combine-control-flow-and-state-updates-with-command) for an end-to-end example of how to use `Command`.
 :::
 
 :::js
@@ -858,6 +860,7 @@ builder.addNode("myNode", myNode, {
 });
 ```
 
+Check out this [how-to guide](../how-tos/graph-api.ipynb#combine-control-flow-and-state-updates-with-command) for an end-to-end example of how to use `Command`.
 :::
 
 !!! important
@@ -1040,7 +1043,7 @@ def node_a(state: State, runtime: Runtime[ContextSchema]):
     ...
 ```
 
-See [this guide](../how-tos/graph-api.md#add-runtime-configuration) for a full breakdown on configuration.
+See [this guide](../how-tos/graph-api.ipynb#add-runtime-configuration) for a full breakdown on configuration.
 :::
 
 :::js

docs/docs/concepts/mcp.md

@@ -6,14 +6,7 @@
 
 Install the `langchain-mcp-adapters` library to use MCP tools in LangGraph:
 
-:::python
 ```bash
 pip install langchain-mcp-adapters
 ```
-:::
 
-:::js
-```bash
-npm install @langchain/mcp-adapters
-```
-:::

docs/docs/concepts/persistence.md

@@ -315,8 +315,7 @@ In our example, the output of `get_state_history` will look like this:
         tasks=(),
     ),
     StateSnapshot(
-        values={'foo': 'a', 'bar': ['a']},
-        next=('node_b',),
+        values={'foo': 'a', 'bar': ['a']}, next=('node_b',),
         config={'configurable': {'thread_id': '1', 'checkpoint_ns': '', 'checkpoint_id': '1ef663ba-28f9-6ec4-8001-31981c2c39f8'}},
         metadata={'source': 'loop', 'writes': {'node_a': {'foo': 'a', 'bar': ['a']}}, 'step': 1},
         created_at='2024-08-29T19:19:38.819946+00:00',

docs/docs/concepts/plans.md

@@ -12,7 +12,7 @@ There are three different plans for using it.
 
 - **Developer**: All [LangSmith](https://smith.langchain.com/) users have access to this plan. You can sign up for this plan simply by creating a LangSmith account. This gives you access to the [local deployment](./deployment_options.md#free-deployment) option.
 - **Plus**: All [LangSmith](https://smith.langchain.com/) users with a [Plus account](https://docs.smith.langchain.com/administration/pricing) have access to this plan. You can sign up for this plan simply by upgrading your LangSmith account to the Plus plan type. This gives you access to the [Cloud](./deployment_options.md#cloud-saas) deployment option.
-- **Enterprise**: This is separate from LangSmith plans. You can sign up for this plan by [contacting our sales team](https://www.langchain.com/contact-sales). This gives you access to all [deployment options](./deployment_options.md).
+- **Enterprise**: This is separate from LangSmith plans. You can sign up for this plan by contacting sales@langchain.dev. This gives you access to all [deployment options](./deployment_options.md).
 
 
 ## Plan Details

docs/docs/how-tos/auth/custom_auth.md

@@ -145,7 +145,7 @@ def my_node(state, config):
 By default, if you add custom authorization on your resources, this will also apply to interactions made from the Studio. If you want, you can handle logged-in Studio users differently by checking [is_studio_user()](../../reference/functions/sdk_auth.isStudioUser.html).
 
 !!! note
-    `is_studio_user` was added in version 0.1.73 of the langgraph-sdk. If you're on an older version, you can still check whether `isinstance(ctx.user, StudioUser)`.
+`is_studio_user` was added in version 0.1.73 of the langgraph-sdk. If you're on an older version, you can still check whether `isinstance(ctx.user, StudioUser)`.
 
 ```python
 from langgraph_sdk.auth import is_studio_user, Auth

docs/docs/how-tos/multi_agent.md

@@ -22,7 +22,6 @@ To set up communication between the agents in a multi-agent system you can use [
 
 To implement handoffs, you can return `Command` objects from your agent nodes or tools:
 
-:::python
 ```python
 from typing import Annotated
 from langchain_core.tools import tool, InjectedToolCallId
@@ -58,7 +57,7 @@ def create_handoff_tool(*, agent_name: str, description: str | None = None):
     return handoff_tool
 ```
 
-1. Access the [state](../concepts/low_level.md#state) of the agent that is calling the handoff tool using the @[InjectedState] annotation. 
+1. Access the [state](../concepts/low_level.md#state) of the agent that is calling the handoff tool using the @[InjectedState][InjectedState] annotation. 
 2. The `Command` primitive allows specifying a state update and a node transition as a single operation, making it useful for implementing handoffs.
 3. Name of the agent or node to hand off to.
 4. Take the agent's messages and **add** them to the parent's **state** as part of the handoff. The next agent will see the parent state.
@@ -74,109 +73,25 @@ def create_handoff_tool(*, agent_name: str, description: str | None = None):
         commands = [tools_by_name[tool_call["name"]].invoke(tool_call) for tool_call in tool_calls]
         return commands
     ```
-:::
-
-:::js
-```typescript
-import { tool } from "@langchain/core/tools";
-import { Command, MessagesZodState } from "@langchain/langgraph";
-import { z } from "zod";
-
-function createHandoffTool({
-  agentName,
-  description,
-}: {
-  agentName: string;
-  description?: string;
-}) {
-  const name = `transfer_to_${agentName}`;
-  const toolDescription = description || `Transfer to ${agentName}`;
-
-  return tool(
-    async (_, config) => {
-      // (1)!
-      const state = config.state;
-      const toolCallId = config.toolCall.id;
-
-      const toolMessage = {
-        role: "tool" as const,
-        content: `Successfully transferred to ${agentName}`,
-        name: name,
-        tool_call_id: toolCallId,
-      };
-
-      return new Command({
-        // (3)!
-        goto: agentName,
-        // (4)!
-        update: { messages: [...state.messages, toolMessage] },
-        // (5)!
-        graph: Command.PARENT,
-      });
-    },
-    {
-      name,
-      description: toolDescription,
-      schema: z.object({}),
-    }
-  );
-}
-```
-
-1. Access the [state](../concepts/low_level.md#state) of the agent that is calling the handoff tool through the `config` parameter.
-2. The `Command` primitive allows specifying a state update and a node transition as a single operation, making it useful for implementing handoffs.
-3. Name of the agent or node to hand off to.
-4. Take the agent's messages and **add** them to the parent's **state** as part of the handoff. The next agent will see the parent state.
-5. Indicate to LangGraph that we need to navigate to agent node in a **parent** multi-agent graph.
-
-!!! tip
-
-    If you want to use tools that return `Command`, you can either use prebuilt @[`create_react_agent`][create_react_agent] / @[`ToolNode`][ToolNode] components, or implement your own tool-executing node that collects `Command` objects returned by the tools and returns a list of them, e.g.:
-    
-    ```typescript
-    const callTools = async (state) => {
-      // ...
-      const commands = await Promise.all(
-        toolCalls.map(toolCall => toolsByName[toolCall.name].invoke(toolCall))
-      );
-      return commands;
-    };
-    ```
-:::
 
 !!! Important
 
     This handoff implementation assumes that:
     
-    - each agent receives overall message history (across all agents) in the multi-agent system as its input. If you want more control over agent inputs, see [this section](#control-agent-inputs)
-    - each agent outputs its internal messages history to the overall message history of the multi-agent system. If you want more control over **how agent outputs are added**, wrap the agent in a separate node function:
+      - each agent receives overall message history (across all agents) in the multi-agent system as its input. If you want more control over agent inputs, see [this section](#control-agent-inputs)
+      - each agent outputs its internal messages history to the overall message history of the multi-agent system. If you want more control over **how agent outputs are added**, wrap the agent in a separate node function:
 
-      :::python
-      ```python
-      def call_hotel_assistant(state):
-          # return agent's final response,
-          # excluding inner monologue
-          response = hotel_assistant.invoke(state)
-          # highlight-next-line
-          return {"messages": response["messages"][-1]}
-      ```
-      :::
-
-      :::js
-      ```typescript
-      const callHotelAssistant = async (state) => {
-        // return agent's final response,
-        // excluding inner monologue
-        const response = await hotelAssistant.invoke(state);
-        // highlight-next-line
-        return { messages: [response.messages.at(-1)] };
-      };
-      ```
-      :::
+        ```python
+        def call_hotel_assistant(state):
+            # return agent's final response,
+            # excluding inner monologue
+            response = hotel_assistant.invoke(state)
+            # highlight-next-line
+            return {"messages": response["messages"][-1]}
+        ```
 
 ### Control agent inputs
 
-:::python
 You can use the @[`Send()`][Send] primitive to directly send data to the worker agents during the handoff. For example, you can request that the calling agent populate a task description for the next agent:
 
 ```python
@@ -214,63 +129,6 @@ def create_task_description_handoff_tool(
 
     return handoff_tool
 ```
-:::
-
-:::js
-You can use the @[`Send()`][Send] primitive to directly send data to the worker agents during the handoff. For example, you can request that the calling agent populate a task description for the next agent:
-
-```typescript
-import { tool } from "@langchain/core/tools";
-import { Command, Send, MessagesZodState } from "@langchain/langgraph";
-import { z } from "zod";
-
-function createTaskDescriptionHandoffTool({
-  agentName,
-  description,
-}: {
-  agentName: string;
-  description?: string;
-}) {
-  const name = `transfer_to_${agentName}`;
-  const toolDescription = description || `Ask ${agentName} for help.`;
-
-  return tool(
-    async (
-      { taskDescription },
-      config
-    ) => {
-      const state = config.state;
-      
-      const taskDescriptionMessage = {
-        role: "user" as const,
-        content: taskDescription,
-      };
-      const agentInput = {
-        ...state,
-        messages: [taskDescriptionMessage],
-      };
-      
-      return new Command({
-        // highlight-next-line
-        goto: [new Send(agentName, agentInput)],
-        graph: Command.PARENT,
-      });
-    },
-    {
-      name,
-      description: toolDescription,
-      schema: z.object({
-        taskDescription: z
-          .string()
-          .describe(
-            "Description of what the next agent should do, including all of the relevant context."
-          ),
-      }),
-    }
-  );
-}
-```
-:::
 
 See the multi-agent [supervisor](../tutorials/multi_agent/agent_supervisor.md#4-create-delegation-tasks) example for a full example of using @[`Send()`][Send] in handoffs.
 
@@ -278,7 +136,6 @@ See the multi-agent [supervisor](../tutorials/multi_agent/agent_supervisor.md#4-
 
 You can use handoffs in any agents built with LangGraph. We recommend using the prebuilt [agent](../agents/overview.md) or [`ToolNode`](./tool-calling.md#toolnode), as they natively support handoffs tools returning `Command`. Below is an example of how you can implement a multi-agent system for booking travel using handoffs:
 
-:::python
 ```python
 from langgraph.prebuilt import create_react_agent
 from langgraph.graph import StateGraph, START, MessagesState
@@ -319,65 +176,9 @@ multi_agent_graph = (
     .compile()
 )
 ```
-:::
-
-:::js
-```typescript
-import { createReactAgent } from "@langchain/langgraph/prebuilt";
-import { StateGraph, START, MessagesZodState } from "@langchain/langgraph";
-import { z } from "zod";
-
-function createHandoffTool({
-  agentName,
-  description,
-}: {
-  agentName: string;
-  description?: string;
-}) {
-  // same implementation as above
-  // ...
-  return new Command(/* ... */);
-}
-
-// Handoffs
-const transferToHotelAssistant = createHandoffTool({
-  agentName: "hotel_assistant",
-});
-const transferToFlightAssistant = createHandoffTool({
-  agentName: "flight_assistant",
-});
-
-// Define agents
-const flightAssistant = createReactAgent({
-  llm: model,
-  // highlight-next-line
-  tools: [/* ... */, transferToHotelAssistant],
-  // highlight-next-line
-  name: "flight_assistant",
-});
-
-const hotelAssistant = createReactAgent({
-  llm: model,
-  // highlight-next-line
-  tools: [/* ... */, transferToFlightAssistant],
-  // highlight-next-line
-  name: "hotel_assistant",
-});
-
-// Define multi-agent graph
-const multiAgentGraph = new StateGraph(MessagesZodState)
-  // highlight-next-line
-  .addNode("flight_assistant", flightAssistant)
-  // highlight-next-line
-  .addNode("hotel_assistant", hotelAssistant)
-  .addEdge(START, "flight_assistant")
-  .compile();
-```
-:::
 
 ??? example "Full example: Multi-agent system for booking travel"
 
-    :::python
     ```python
     from typing import Annotated
     from langchain_core.messages import convert_to_messages
@@ -522,183 +323,6 @@ const multiAgentGraph = new StateGraph(MessagesZodState)
     3. Name of the agent or node to hand off to.
     4. Take the agent's messages and **add** them to the parent's **state** as part of the handoff. The next agent will see the parent state.
     5. Indicate to LangGraph that we need to navigate to agent node in a **parent** multi-agent graph.
-    :::
-
-    :::js
-    ```typescript
-    import { tool } from "@langchain/core/tools";
-    import { createReactAgent } from "@langchain/langgraph/prebuilt";
-    import { StateGraph, START, MessagesZodState, Command } from "@langchain/langgraph";
-    import { ChatAnthropic } from "@langchain/anthropic";
-    import { isBaseMessage } from "@langchain/core/messages";
-    import { z } from "zod";
-
-    // We'll use a helper to render the streamed agent outputs nicely
-    const prettyPrintMessages = (update: Record<string, any>) => {
-      // Handle tuple case with namespace
-      if (Array.isArray(update)) {
-        const [ns, updateData] = update;
-        // Skip parent graph updates in the printouts
-        if (ns.length === 0) {
-          return;
-        }
-
-        const graphId = ns[ns.length - 1].split(":")[0];
-        console.log(`Update from subgraph ${graphId}:\n`);
-        update = updateData;
-      }
-
-      for (const [nodeName, updateValue] of Object.entries(update)) {
-        console.log(`Update from node ${nodeName}:\n`);
-
-        const messages = updateValue.messages || [];
-        for (const message of messages) {
-          if (isBaseMessage(message)) {
-            const textContent =
-              typeof message.content === "string"
-                ? message.content
-                : JSON.stringify(message.content);
-            console.log(`${message.getType()}: ${textContent}`);
-          }
-        }
-        console.log("\n");
-      }
-    };
-
-    function createHandoffTool({
-      agentName,
-      description,
-    }: {
-      agentName: string;
-      description?: string;
-    }) {
-      const name = `transfer_to_${agentName}`;
-      const toolDescription = description || `Transfer to ${agentName}`;
-
-      return tool(
-        async (_, config) => {
-          // highlight-next-line
-          const state = config.state; // (1)!
-          const toolCallId = config.toolCall.id;
-
-          const toolMessage = {
-            role: "tool" as const,
-            content: `Successfully transferred to ${agentName}`,
-            name: name,
-            tool_call_id: toolCallId,
-          };
-
-          return new Command({
-            // highlight-next-line
-            goto: agentName, // (3)!
-            // highlight-next-line
-            update: { messages: [...state.messages, toolMessage] }, // (4)!
-            // highlight-next-line
-            graph: Command.PARENT, // (5)!
-          });
-        },
-        {
-          name,
-          description: toolDescription,
-          schema: z.object({}),
-        }
-      );
-    }
-
-    // Handoffs
-    const transferToHotelAssistant = createHandoffTool({
-      agentName: "hotel_assistant",
-      description: "Transfer user to the hotel-booking assistant.",
-    });
-
-    const transferToFlightAssistant = createHandoffTool({
-      agentName: "flight_assistant",
-      description: "Transfer user to the flight-booking assistant.",
-    });
-
-    // Simple agent tools
-    const bookHotel = tool(
-      async ({ hotelName }) => {
-        return `Successfully booked a stay at ${hotelName}.`;
-      },
-      {
-        name: "book_hotel",
-        description: "Book a hotel",
-        schema: z.object({
-          hotelName: z.string(),
-        }),
-      }
-    );
-
-    const bookFlight = tool(
-      async ({ fromAirport, toAirport }) => {
-        return `Successfully booked a flight from ${fromAirport} to ${toAirport}.`;
-      },
-      {
-        name: "book_flight",
-        description: "Book a flight",
-        schema: z.object({
-          fromAirport: z.string(),
-          toAirport: z.string(),
-        }),
-      }
-    );
-
-    const model = new ChatAnthropic({
-      model: "claude-3-5-sonnet-latest",
-    });
-
-    // Define agents
-    const flightAssistant = createReactAgent({
-      llm: model,
-      // highlight-next-line
-      tools: [bookFlight, transferToHotelAssistant],
-      prompt: "You are a flight booking assistant",
-      // highlight-next-line
-      name: "flight_assistant",
-    });
-
-    const hotelAssistant = createReactAgent({
-      llm: model,
-      // highlight-next-line
-      tools: [bookHotel, transferToFlightAssistant],
-      prompt: "You are a hotel booking assistant",
-      // highlight-next-line
-      name: "hotel_assistant",
-    });
-
-    // Define multi-agent graph
-    const multiAgentGraph = new StateGraph(MessagesZodState)
-      .addNode("flight_assistant", flightAssistant)
-      .addNode("hotel_assistant", hotelAssistant)
-      .addEdge(START, "flight_assistant")
-      .compile();
-
-    // Run the multi-agent graph
-    const stream = await multiAgentGraph.stream(
-      {
-        messages: [
-          {
-            role: "user",
-            content: "book a flight from BOS to JFK and a stay at McKittrick Hotel",
-          },
-        ],
-      },
-      // highlight-next-line
-      { subgraphs: true }
-    );
-
-    for await (const chunk of stream) {
-      prettyPrintMessages(chunk);
-    }
-    ```
-
-    1. Access agent's state
-    2. The `Command` primitive allows specifying a state update and a node transition as a single operation, making it useful for implementing handoffs.
-    3. Name of the agent or node to hand off to.
-    4. Take the agent's messages and **add** them to the parent's **state** as part of the handoff. The next agent will see the parent state.
-    5. Indicate to LangGraph that we need to navigate to agent node in a **parent** multi-agent graph.
-    :::
 
 ## Multi-turn conversation
 
@@ -709,7 +333,6 @@ The agents can then be implemented as nodes in a graph that executes agent steps
 1. **Wait for user input** to continue the conversation, or  
 2. **Route to another agent** (or back to itself, such as in a loop) via a [handoff](#handoffs)
 
-:::python
 ```python
 def human(state) -> Command[Literal["agent", "another_agent"]]:
     """A node for collecting user input."""
@@ -737,44 +360,6 @@ def agent(state) -> Command[Literal["agent", "another_agent", "human"]]:
     else:
         return Command(goto="human") # Go to human node
 ```
-:::
-
-:::js
-```typescript
-import { interrupt, Command } from "@langchain/langgraph";
-
-function human(state: MessagesState): Command {
-  const userInput: string = interrupt("Ready for user input.");
-
-  // Determine the active agent
-  const activeAgent = /* ... */;
-
-  return new Command({
-    update: {
-      messages: [{
-        role: "human",
-        content: userInput,
-      }]
-    },
-    goto: activeAgent,
-  });
-}
-
-function agent(state: MessagesState): Command {
-  // The condition for routing/halting can be anything, e.g. LLM tool call / structured output, etc.
-  const goto = getNextAgent(/* ... */); // 'agent' / 'anotherAgent'
-
-  if (goto) {
-    return new Command({
-      goto,
-      update: { myStateKey: "myStateValue" }
-    });
-  }
-
-  return new Command({ goto: "human" });
-}
-```
-:::
 
 ??? example "Full example: multi-agent system for travel recommendations"
 
@@ -785,7 +370,6 @@ function agent(state: MessagesState): Command {
     * travel_advisor: can help with travel destination recommendations. Can ask hotel_advisor for help.
     * hotel_advisor: can help with hotel recommendations. Can ask travel_advisor for help.
 
-    :::python
     ```python
     from langchain_anthropic import ChatAnthropic
     from langgraph.graph import MessagesState, StateGraph, START
@@ -987,267 +571,10 @@ function agent(state: MessagesState): Command {
     
     Would you like more specific information about any of these activities or would you like to know about other options in the area?
     ```
-    :::
-
-    :::js
-    ```typescript
-    import { ChatAnthropic } from "@langchain/anthropic";
-    import { StateGraph, START, MessagesZodState, Command, interrupt, MemorySaver } from "@langchain/langgraph";
-    import { createReactAgent } from "@langchain/langgraph/prebuilt";
-    import { tool } from "@langchain/core/tools";
-    import { z } from "zod";
-
-    const model = new ChatAnthropic({ model: "claude-3-5-sonnet-latest" });
-
-    const MultiAgentState = MessagesZodState.extend({
-      lastActiveAgent: z.string().optional(),
-    });
-
-    // Define travel advisor tools
-    const getTravelRecommendations = tool(
-      async () => {
-        // Placeholder implementation
-        return "Based on current trends, I recommend visiting Japan, Portugal, or New Zealand.";
-      },
-      {
-        name: "get_travel_recommendations",
-        description: "Get current travel destination recommendations",
-        schema: z.object({}),
-      }
-    );
-
-    const makeHandoffTool = (agentName: string) => {
-      return tool(
-        async (_, config) => {
-          const state = config.state;
-          const toolCallId = config.toolCall.id;
-
-          const toolMessage = {
-            role: "tool" as const,
-            content: `Successfully transferred to ${agentName}`,
-            name: `transfer_to_${agentName}`,
-            tool_call_id: toolCallId,
-          };
-
-          return new Command({
-            goto: agentName,
-            update: { messages: [...state.messages, toolMessage] },
-            graph: Command.PARENT,
-          });
-        },
-        {
-          name: `transfer_to_${agentName}`,
-          description: `Transfer to ${agentName}`,
-          schema: z.object({}),
-        }
-      );
-    };
-
-    const travelAdvisorTools = [
-      getTravelRecommendations,
-      makeHandoffTool("hotel_advisor"),
-    ];
-
-    const travelAdvisor = createReactAgent({
-      llm: model,
-      tools: travelAdvisorTools,
-      prompt: [
-        "You are a general travel expert that can recommend travel destinations (e.g. countries, cities, etc). ",
-        "If you need hotel recommendations, ask 'hotel_advisor' for help. ",
-        "You MUST include human-readable response before transferring to another agent."
-      ].join("")
-    });
-
-    const callTravelAdvisor = async (
-      state: z.infer<typeof MultiAgentState>
-    ): Promise<Command> => {
-      const response = await travelAdvisor.invoke(state);
-      const update = { ...response, lastActiveAgent: "travel_advisor" };
-      return new Command({ update, goto: "human" });
-    };
-
-    // Define hotel advisor tools
-    const getHotelRecommendations = tool(
-      async () => {
-        // Placeholder implementation
-        return "I recommend the Ritz-Carlton for luxury stays or boutique hotels for unique experiences.";
-      },
-      {
-        name: "get_hotel_recommendations",
-        description: "Get hotel recommendations for destinations",
-        schema: z.object({}),
-      }
-    );
-
-    const hotelAdvisorTools = [
-      getHotelRecommendations,
-      makeHandoffTool("travel_advisor"),
-    ];
-
-    const hotelAdvisor = createReactAgent({
-      llm: model,
-      tools: hotelAdvisorTools,
-      prompt: [
-        "You are a hotel expert that can provide hotel recommendations for a given destination. ",
-        "If you need help picking travel destinations, ask 'travel_advisor' for help.",
-        "You MUST include human-readable response before transferring to another agent."
-      ].join("")
-    });
-
-    const callHotelAdvisor = async (
-      state: z.infer<typeof MultiAgentState>
-    ): Promise<Command> => {
-      const response = await hotelAdvisor.invoke(state);
-      const update = { ...response, lastActiveAgent: "hotel_advisor" };
-      return new Command({ update, goto: "human" });
-    };
-
-    const humanNode = async (
-      state: z.infer<typeof MultiAgentState>
-    ): Promise<Command> => {
-      const userInput: string = interrupt("Ready for user input.");
-      const activeAgent = state.lastActiveAgent || "travel_advisor";
-
-      return new Command({
-        update: {
-          messages: [
-            {
-              role: "human",
-              content: userInput,
-            }
-          ]
-        },
-        goto: activeAgent,
-      });
-    };
-
-    const builder = new StateGraph(MultiAgentState)
-      .addNode("travel_advisor", callTravelAdvisor)
-      .addNode("hotel_advisor", callHotelAdvisor)
-      .addNode("human", humanNode)
-      .addEdge(START, "travel_advisor");
-
-    const checkpointer = new MemorySaver();
-    const graph = builder.compile({ checkpointer });
-    ```
-    
-    Let's test a multi turn conversation with this application.
-
-    ```typescript
-    import { v4 as uuidv4 } from "uuid";
-    import { Command } from "@langchain/langgraph";
-
-    const threadConfig = { configurable: { thread_id: uuidv4() } };
-
-    const inputs = [
-      // 1st round of conversation
-      {
-        messages: [
-          { role: "user", content: "i wanna go somewhere warm in the caribbean" }
-        ]
-      },
-      // Since we're using `interrupt`, we'll need to resume using the Command primitive.
-      // 2nd round of conversation
-      new Command({
-        resume: "could you recommend a nice hotel in one of the areas and tell me which area it is."
-      }),
-      // 3rd round of conversation
-      new Command({
-        resume: "i like the first one. could you recommend something to do near the hotel?"
-      }),
-    ];
-
-    for (const [idx, userInput] of inputs.entries()) {
-      console.log();
-      console.log(`--- Conversation Turn ${idx + 1} ---`);
-      console.log();
-      console.log(`User: ${JSON.stringify(userInput)}`);
-      console.log();
-      
-      for await (const update of await graph.stream(
-        userInput,
-        { ...threadConfig, streamMode: "updates" }
-      )) {
-        for (const [nodeId, value] of Object.entries(update)) {
-          if (value?.messages?.length) {
-            const lastMessage = value.messages.at(-1);
-            if (lastMessage?.getType?.() === "ai") {
-              console.log(`${nodeId}: ${lastMessage.content}`);
-            }
-          }
-        }
-      }
-    }
-    ```
-    
-    ```
-    --- Conversation Turn 1 ---
-    
-    User: {"messages":[{"role":"user","content":"i wanna go somewhere warm in the caribbean"}]}
-    
-    travel_advisor: Based on the recommendations, Aruba would be an excellent choice for your Caribbean getaway! Aruba is known as "One Happy Island" and offers:
-    - Year-round warm weather with consistent temperatures around 82°F (28°C)
-    - Beautiful white sand beaches like Eagle Beach and Palm Beach
-    - Clear turquoise waters perfect for swimming and snorkeling
-    - Minimal rainfall and location outside the hurricane belt
-    - A blend of Caribbean and Dutch culture
-    - Great dining options and nightlife
-    - Various water sports and activities
-    
-    Would you like me to get some specific hotel recommendations in Aruba for your stay? I can transfer you to our hotel advisor who can help with accommodations.
-    
-    --- Conversation Turn 2 ---
-    
-    User: Command { resume: 'could you recommend a nice hotel in one of the areas and tell me which area it is.' }
-    
-    hotel_advisor: Based on the recommendations, I can suggest two excellent options:
-    
-    1. The Ritz-Carlton, Aruba - Located in Palm Beach
-    - This luxury resort is situated in the vibrant Palm Beach area
-    - Known for its exceptional service and amenities
-    - Perfect if you want to be close to dining, shopping, and entertainment
-    - Features multiple restaurants, a casino, and a world-class spa
-    - Located on a pristine stretch of Palm Beach
-    
-    2. Bucuti & Tara Beach Resort - Located in Eagle Beach
-    - An adults-only boutique resort on Eagle Beach
-    - Known for being more intimate and peaceful
-    - Award-winning for its sustainability practices
-    - Perfect for a romantic getaway or peaceful vacation
-    - Located on one of the most beautiful beaches in the Caribbean
-    
-    Would you like more specific information about either of these properties or their locations?
-    
-    --- Conversation Turn 3 ---
-    
-    User: Command { resume: 'i like the first one. could you recommend something to do near the hotel?' }
-    
-    travel_advisor: Near the Ritz-Carlton in Palm Beach, here are some highly recommended activities:
-    
-    1. Visit the Palm Beach Plaza Mall - Just a short walk from the hotel, featuring shopping, dining, and entertainment
-    2. Try your luck at the Stellaris Casino - It's right in the Ritz-Carlton
-    3. Take a sunset sailing cruise - Many depart from the nearby pier
-    4. Visit the California Lighthouse - A scenic landmark just north of Palm Beach
-    5. Enjoy water sports at Palm Beach:
-       - Jet skiing
-       - Parasailing
-       - Snorkeling
-       - Stand-up paddleboarding
-    
-    Would you like more specific information about any of these activities or would you like to know about other options in the area?
-    ```
-    :::
 
 ## Prebuilt implementations
 
 LangGraph comes with prebuilt implementations of two of the most popular multi-agent architectures:
 
-:::python
 - [supervisor](../agents/multi-agent.md#supervisor) — individual agents are coordinated by a central supervisor agent. The supervisor controls all communication flow and task delegation, making decisions about which agent to invoke based on the current context and task requirements. You can use [`langgraph-supervisor`](https://github.com/langchain-ai/langgraph-supervisor-py) library to create a supervisor multi-agent systems.
-- [swarm](../agents/multi-agent.md#supervisor) — agents dynamically hand off control to one another based on their specializations. The system remembers which agent was last active, ensuring that on subsequent interactions, the conversation resumes with that agent. You can use [`langgraph-swarm`](https://github.com/langchain-ai/langgraph-swarm-py) library to create a swarm multi-agent systems.
-:::
-
-:::js
-- [supervisor](../agents/multi-agent.md#supervisor) — individual agents are coordinated by a central supervisor agent. The supervisor controls all communication flow and task delegation, making decisions about which agent to invoke based on the current context and task requirements. You can use [`langgraph-supervisor`](https://github.com/langchain-ai/langgraph-supervisor-js) library to create a supervisor multi-agent systems.
-- [swarm](../agents/multi-agent.md#supervisor) — agents dynamically hand off control to one another based on their specializations. The system remembers which agent was last active, ensuring that on subsequent interactions, the conversation resumes with that agent. You can use [`langgraph-swarm`](https://github.com/langchain-ai/langgraph-swarm-js) library to create a swarm multi-agent systems.
-:::
+- [swarm](../agents/multi-agent.md#supervisor) — agents dynamically hand off control to one another based on their specializations. The system remembers which agent was last active, ensuring that on subsequent interactions, the conversation resumes with that agent. You can use [`langgraph-swarm`](https://github.com/langchain-ai/langgraph-swarm-py) library to create a swarm multi-agent systems. 

docs/docs/how-tos/subgraph.md

@@ -9,20 +9,11 @@ When adding subgraphs, you need to define how the parent graph and the subgraph
 
 ## Setup
 
-:::python
 ```bash
 pip install -U langgraph
 ```
-:::
-
-:::js
-```bash
-npm install @langchain/langgraph
-```
-:::
 
 !!! tip "Set up LangSmith for LangGraph development"
-
     Sign up for [LangSmith](https://smith.langchain.com) to quickly spot issues and improve the performance of your LangGraph projects. LangSmith lets you use trace data to debug, test, and monitor your LLM apps built with LangGraph — read more about how to get started [here](https://docs.smith.langchain.com).
 
 ## Shared state schemas
@@ -31,7 +22,6 @@ A common case is for the parent graph and subgraph to communicate over a shared
 
 If your subgraph shares state keys with the parent graph, you can follow these steps to add it to your graph:
 
-:::python
 1. Define the subgraph workflow (`subgraph_builder` in the example below) and compile it
 2. Pass compiled subgraph to the `.add_node` method when defining the parent graph workflow
 
@@ -59,41 +49,9 @@ builder.add_node("node_1", subgraph)
 builder.add_edge(START, "node_1")
 graph = builder.compile()
 ```
-:::
-
-:::js
-1. Define the subgraph workflow (`subgraphBuilder` in the example below) and compile it
-2. Pass compiled subgraph to the `.addNode` method when defining the parent graph workflow
-
-```typescript
-import { StateGraph, START } from "@langchain/langgraph";
-import { z } from "zod";
-
-const State = z.object({
-  foo: z.string(),
-});
-
-// Subgraph
-const subgraphBuilder = new StateGraph(State)
-  .addNode("subgraphNode1", (state) => {
-    return { foo: "hi! " + state.foo };
-  })
-  .addEdge(START, "subgraphNode1");
-
-const subgraph = subgraphBuilder.compile();
-
-// Parent graph
-const builder = new StateGraph(State)
-  .addNode("node1", subgraph)
-  .addEdge(START, "node1");
-
-const graph = builder.compile();
-```
-:::
 
 ??? example "Full example: shared state schemas"
 
-    :::python
     ```python
     from typing_extensions import TypedDict
     from langgraph.graph.state import StateGraph, START
@@ -143,61 +101,6 @@ const graph = builder.compile();
     {'node_1': {'foo': 'hi! foo'}}
     {'node_2': {'foo': 'hi! foobar'}}
     ```
-    :::
-
-    :::js
-    ```typescript
-    import { StateGraph, START } from "@langchain/langgraph";
-    import { z } from "zod";
-
-    // Define subgraph
-    const SubgraphState = z.object({
-      foo: z.string(),  // (1)! 
-      bar: z.string(),  // (2)!
-    });
-    
-    const subgraphBuilder = new StateGraph(SubgraphState)
-      .addNode("subgraphNode1", (state) => {
-        return { bar: "bar" };
-      })
-      .addNode("subgraphNode2", (state) => {
-        // note that this node is using a state key ('bar') that is only available in the subgraph
-        // and is sending update on the shared state key ('foo')
-        return { foo: state.foo + state.bar };
-      })
-      .addEdge(START, "subgraphNode1")
-      .addEdge("subgraphNode1", "subgraphNode2");
-    
-    const subgraph = subgraphBuilder.compile();
-    
-    // Define parent graph
-    const ParentState = z.object({
-      foo: z.string(),
-    });
-    
-    const builder = new StateGraph(ParentState)
-      .addNode("node1", (state) => {
-        return { foo: "hi! " + state.foo };
-      })
-      .addNode("node2", subgraph)
-      .addEdge(START, "node1")
-      .addEdge("node1", "node2");
-    
-    const graph = builder.compile();
-    
-    for await (const chunk of await graph.stream({ foo: "foo" })) {
-      console.log(chunk);
-    }
-    ```
-
-    3. This key is shared with the parent graph state
-    4. This key is private to the `SubgraphState` and is not visible to the parent graph
-    
-    ```
-    { node1: { foo: 'hi! foo' } }
-    { node2: { foo: 'hi! foobar' } }
-    ```
-    :::
 
 ## Different state schemas
 
@@ -205,7 +108,6 @@ For more complex systems you might want to define subgraphs that have a **comple
 
 If that's the case for your application, you need to define a node **function that invokes the subgraph**. This function needs to transform the input (parent) state to the subgraph state before invoking the subgraph, and transform the results back to the parent state before returning the state update from the node.
 
-:::python
 ```python
 from typing_extensions import TypedDict
 from langgraph.graph.state import StateGraph, START
@@ -240,48 +142,9 @@ graph = builder.compile()
 
 1. Transform the state to the subgraph state
 2. Transform response back to the parent state
-:::
-
-:::js
-```typescript
-import { StateGraph, START } from "@langchain/langgraph";
-import { z } from "zod";
-
-const SubgraphState = z.object({
-  bar: z.string(),
-});
-
-// Subgraph
-const subgraphBuilder = new StateGraph(SubgraphState)
-  .addNode("subgraphNode1", (state) => {
-    return { bar: "hi! " + state.bar };
-  })
-  .addEdge(START, "subgraphNode1");
-
-const subgraph = subgraphBuilder.compile();
-
-// Parent graph
-const State = z.object({
-  foo: z.string(),
-});
-
-const builder = new StateGraph(State)
-  .addNode("node1", async (state) => {
-    const subgraphOutput = await subgraph.invoke({ bar: state.foo }); // (1)!
-    return { foo: subgraphOutput.bar }; // (2)!
-  })
-  .addEdge(START, "node1");
-
-const graph = builder.compile();
-```
-
-1. Transform the state to the subgraph state
-2. Transform response back to the parent state
-:::
 
 ??? example "Full example: different state schemas"
 
-    :::python
     ```python
     from typing_extensions import TypedDict
     from langgraph.graph.state import StateGraph, START
@@ -337,74 +200,11 @@ const graph = builder.compile();
     (('node_2:9c36dd0f-151a-cb42-cbad-fa2f851f9ab7',), {'grandchild_2': {'bar': 'hi! foobaz'}})
     ((), {'node_2': {'foo': 'hi! foobaz'}})
     ```
-    :::
-
-    :::js
-    ```typescript
-    import { StateGraph, START } from "@langchain/langgraph";
-    import { z } from "zod";
-
-    // Define subgraph
-    const SubgraphState = z.object({
-      // note that none of these keys are shared with the parent graph state
-      bar: z.string(),
-      baz: z.string(),
-    });
-    
-    const subgraphBuilder = new StateGraph(SubgraphState)
-      .addNode("subgraphNode1", (state) => {
-        return { baz: "baz" };
-      })
-      .addNode("subgraphNode2", (state) => {
-        return { bar: state.bar + state.baz };
-      })
-      .addEdge(START, "subgraphNode1")
-      .addEdge("subgraphNode1", "subgraphNode2");
-    
-    const subgraph = subgraphBuilder.compile();
-    
-    // Define parent graph
-    const ParentState = z.object({
-      foo: z.string(),
-    });
-    
-    const builder = new StateGraph(ParentState)
-      .addNode("node1", (state) => {
-        return { foo: "hi! " + state.foo };
-      })
-      .addNode("node2", async (state) => {
-        const response = await subgraph.invoke({ bar: state.foo }); // (1)!
-        return { foo: response.bar }; // (2)!
-      })
-      .addEdge(START, "node1")
-      .addEdge("node1", "node2");
-    
-    const graph = builder.compile();
-    
-    for await (const chunk of await graph.stream(
-      { foo: "foo" }, 
-      { subgraphs: true }
-    )) {
-      console.log(chunk);
-    }
-    ```
-
-    3. Transform the state to the subgraph state
-    4. Transform response back to the parent state
-
-    ```
-    [[], { node1: { foo: 'hi! foo' } }]
-    [['node2:9c36dd0f-151a-cb42-cbad-fa2f851f9ab7'], { subgraphNode1: { baz: 'baz' } }]
-    [['node2:9c36dd0f-151a-cb42-cbad-fa2f851f9ab7'], { subgraphNode2: { bar: 'hi! foobaz' } }]
-    [[], { node2: { foo: 'hi! foobaz' } }]
-    ```
-    :::
 
 ??? example "Full example: different state schemas (two levels of subgraphs)"
 
     This is an example with two levels of subgraphs: parent -> child -> grandchild.
 
-    :::python
     ```python
     # Grandchild graph
     from typing_extensions import TypedDict
@@ -488,102 +288,14 @@ const graph = builder.compile();
     ((), {'child': {'my_key': 'hi Bob, how are you today?'}})
     ((), {'parent_2': {'my_key': 'hi Bob, how are you today? bye!'}})
     ```
-    :::
-
-    :::js
-    ```typescript
-    import { StateGraph, START, END } from "@langchain/langgraph";
-    import { z } from "zod";
-
-    // Grandchild graph
-    const GrandChildState = z.object({
-      myGrandchildKey: z.string(),
-    });
-    
-    const grandchild = new StateGraph(GrandChildState)
-      .addNode("grandchild1", (state) => {
-        // NOTE: child or parent keys will not be accessible here
-        return { myGrandchildKey: state.myGrandchildKey + ", how are you" };
-      })
-      .addEdge(START, "grandchild1")
-      .addEdge("grandchild1", END);
-    
-    const grandchildGraph = grandchild.compile();
-    
-    // Child graph
-    const ChildState = z.object({
-      myChildKey: z.string(),
-    });
-    
-    const child = new StateGraph(ChildState)
-      .addNode("child1", async (state) => {
-        // NOTE: parent or grandchild keys won't be accessible here
-        const grandchildGraphInput = { myGrandchildKey: state.myChildKey }; // (1)!
-        const grandchildGraphOutput = await grandchildGraph.invoke(grandchildGraphInput);
-        return { myChildKey: grandchildGraphOutput.myGrandchildKey + " today?" }; // (2)!
-      }) // (3)!
-      .addEdge(START, "child1")
-      .addEdge("child1", END);
-    
-    const childGraph = child.compile();
-    
-    // Parent graph
-    const ParentState = z.object({
-      myKey: z.string(),
-    });
-    
-    const parent = new StateGraph(ParentState)
-      .addNode("parent1", (state) => {
-        // NOTE: child or grandchild keys won't be accessible here
-        return { myKey: "hi " + state.myKey };
-      })
-      .addNode("child", async (state) => {
-        const childGraphInput = { myChildKey: state.myKey }; // (4)!
-        const childGraphOutput = await childGraph.invoke(childGraphInput);
-        return { myKey: childGraphOutput.myChildKey }; // (5)!
-      }) // (6)!
-      .addNode("parent2", (state) => {
-        return { myKey: state.myKey + " bye!" };
-      })
-      .addEdge(START, "parent1")
-      .addEdge("parent1", "child")
-      .addEdge("child", "parent2")
-      .addEdge("parent2", END);
-    
-    const parentGraph = parent.compile();
-    
-    for await (const chunk of await parentGraph.stream(
-      { myKey: "Bob" }, 
-      { subgraphs: true }
-    )) {
-      console.log(chunk);
-    }
-    ```
-
-    7. We're transforming the state from the child state channels (`myChildKey`) to the grandchild state channels (`myGrandchildKey`)
-    8. We're transforming the state from the grandchild state channels (`myGrandchildKey`) back to the child state channels (`myChildKey`)
-    9. We're passing a function here instead of just compiled graph (`grandchildGraph`)
-    10. We're transforming the state from the parent state channels (`myKey`) to the child state channels (`myChildKey`)
-    11. We're transforming the state from the child state channels (`myChildKey`) back to the parent state channels (`myKey`)
-    12. We're passing a function here instead of just a compiled graph (`childGraph`)
-
-    ```
-    [[], { parent1: { myKey: 'hi Bob' } }]
-    [['child:2e26e9ce-602f-862c-aa66-1ea5a4655e3b', 'child1:781bb3b1-3971-84ce-810b-acf819a03f9c'], { grandchild1: { myGrandchildKey: 'hi Bob, how are you' } }]
-    [['child:2e26e9ce-602f-862c-aa66-1ea5a4655e3b'], { child1: { myChildKey: 'hi Bob, how are you today?' } }]
-    [[], { child: { myKey: 'hi Bob, how are you today?' } }]
-    [[], { parent2: { myKey: 'hi Bob, how are you today? bye!' } }]
-    ```
-    :::
 
 ## Add persistence 
 
 You only need to **provide the checkpointer when compiling the parent graph**. LangGraph will automatically propagate the checkpointer to the child subgraphs.
 
-:::python
 ```python
 from langgraph.graph import START, StateGraph
-from langgraph.checkpoint.memory import MemorySaver
+from langgraph.checkpoint.memory import InMemorySaver
 from typing_extensions import TypedDict
 
 class State(TypedDict):
@@ -605,66 +317,20 @@ builder = StateGraph(State)
 builder.add_node("node_1", subgraph)
 builder.add_edge(START, "node_1")
 
-checkpointer = MemorySaver()
+checkpointer = InMemorySaver()
 graph = builder.compile(checkpointer=checkpointer)
 ```    
-:::
 
-:::js
-```typescript
-import { StateGraph, START, MemorySaver } from "@langchain/langgraph";
-import { z } from "zod";
+If you want the subgraph to **have its own memory**, you can compile it `with checkpointer=True`. This is useful in [multi-agent](../concepts/multi_agent.md) systems, if you want agents to keep track of their internal message histories:
 
-const State = z.object({
-  foo: z.string(),
-});
-
-// Subgraph
-const subgraphBuilder = new StateGraph(State)
-  .addNode("subgraphNode1", (state) => {
-    return { foo: state.foo + "bar" };
-  })
-  .addEdge(START, "subgraphNode1");
-
-const subgraph = subgraphBuilder.compile();
-
-// Parent graph
-const builder = new StateGraph(State)
-  .addNode("node1", subgraph)
-  .addEdge(START, "node1");
-
-const checkpointer = new MemorySaver();
-const graph = builder.compile({ checkpointer });
-```    
-:::
-
-If you want the subgraph to **have its own memory**, you can compile it with the appropriate checkpointer option. This is useful in [multi-agent](../concepts/multi_agent.md) systems, if you want agents to keep track of their internal message histories:
-
-:::python
 ```python
 subgraph_builder = StateGraph(...)
 subgraph = subgraph_builder.compile(checkpointer=True)
 ```
-:::
-
-:::js
-```typescript
-const subgraphBuilder = new StateGraph(...)
-const subgraph = subgraphBuilder.compile({ checkpointer: true });
-```
-:::
 
 ## View subgraph state
 
-When you enable [persistence](../concepts/persistence.md), you can [inspect the graph state](../concepts/persistence.md#checkpoints) (checkpoint) via the appropriate method. To view the subgraph state, you can use the subgraphs option.
-
-:::python
-You can inspect the graph state via `graph.get_state(config)`. To view the subgraph state, you can use `graph.get_state(config, subgraphs=True)`.
-:::
-
-:::js
-You can inspect the graph state via `graph.getState(config)`. To view the subgraph state, you can use `graph.getState(config, { subgraphs: true })`.
-:::
+When you enable [persistence](../concepts/persistence.md), you can [inspect the graph state](../concepts/persistence.md#checkpoints) (checkpoint) via `graph.get_state(config)`. To view the subgraph state, you can use `graph.get_state(config, subgraphs=True)`.
 
 !!! important "Available **only** when interrupted"
 
@@ -672,10 +338,9 @@ You can inspect the graph state via `graph.getState(config)`. To view the subgra
 
 ??? example "View interrupted subgraph state"
 
-    :::python
     ```python
     from langgraph.graph import START, StateGraph
-    from langgraph.checkpoint.memory import MemorySaver
+    from langgraph.checkpoint.memory import InMemorySaver
     from langgraph.types import interrupt, Command
     from typing_extensions import TypedDict
     
@@ -700,7 +365,7 @@ You can inspect the graph state via `graph.getState(config)`. To view the subgra
     builder.add_node("node_1", subgraph)
     builder.add_edge(START, "node_1")
     
-    checkpointer = MemorySaver()
+    checkpointer = InMemorySaver()
     graph = builder.compile(checkpointer=checkpointer)
     
     config = {"configurable": {"thread_id": "1"}}
@@ -714,53 +379,11 @@ You can inspect the graph state via `graph.getState(config)`. To view the subgra
     ```
     
     1. This will be available only when the subgraph is interrupted. Once you resume the graph, you won't be able to access the subgraph state.
-    :::
-
-    :::js
-    ```typescript
-    import { StateGraph, START, MemorySaver, interrupt, Command } from "@langchain/langgraph";
-    import { z } from "zod";
-    
-    const State = z.object({
-      foo: z.string(),
-    });
-    
-    // Subgraph
-    const subgraphBuilder = new StateGraph(State)
-      .addNode("subgraphNode1", (state) => {
-        const value = interrupt("Provide value:");
-        return { foo: state.foo + value };
-      })
-      .addEdge(START, "subgraphNode1");
-    
-    const subgraph = subgraphBuilder.compile();
-    
-    // Parent graph
-    const builder = new StateGraph(State)
-      .addNode("node1", subgraph)
-      .addEdge(START, "node1");
-    
-    const checkpointer = new MemorySaver();
-    const graph = builder.compile({ checkpointer });
-    
-    const config = { configurable: { thread_id: "1" } };
-    
-    await graph.invoke({ foo: "" }, config);
-    const parentState = await graph.getState(config);
-    const subgraphState = (await graph.getState(config, { subgraphs: true })).tasks[0].state; // (1)!
-    
-    // resume the subgraph
-    await graph.invoke(new Command({ resume: "bar" }), config);
-    ```
-    
-    2. This will be available only when the subgraph is interrupted. Once you resume the graph, you won't be able to access the subgraph state.
-    :::
 
 ## Stream subgraph outputs
 
-To include outputs from subgraphs in the streamed outputs, you can set the subgraphs option in the stream method of the parent graph. This will stream outputs from both the parent graph and any subgraphs.
+To include outputs from subgraphs in the streamed outputs, you can set `subgraphs=True` in the `.stream()` method of the parent graph. This will stream outputs from both the parent graph and any subgraphs.
 
-:::python
 ```python
 for chunk in graph.stream(
     {"foo": "foo"},
@@ -771,27 +394,9 @@ for chunk in graph.stream(
 ```
 
 1. Set `subgraphs=True` to stream outputs from subgraphs.
-:::
-
-:::js
-```typescript
-for await (const chunk of await graph.stream(
-  { foo: "foo" },
-  {
-    subgraphs: true, // (1)!
-    streamMode: "updates",
-  }
-)) {
-  console.log(chunk);
-}
-```
-
-1. Set `subgraphs: true` to stream outputs from subgraphs.
-:::
 
 ??? example "Stream from subgraphs"
 
-    :::python
     ```python
     from typing_extensions import TypedDict
     from langgraph.graph.state import StateGraph, START
@@ -845,66 +450,4 @@ for await (const chunk of await graph.stream(
     (('node_2:e58e5673-a661-ebb0-70d4-e298a7fc28b7',), {'subgraph_node_1': {'bar': 'bar'}})
     (('node_2:e58e5673-a661-ebb0-70d4-e298a7fc28b7',), {'subgraph_node_2': {'foo': 'hi! foobar'}})
     ((), {'node_2': {'foo': 'hi! foobar'}})
-    ```
-    :::
-
-    :::js
-    ```typescript
-    import { StateGraph, START } from "@langchain/langgraph";
-    import { z } from "zod";
-
-    // Define subgraph
-    const SubgraphState = z.object({
-      foo: z.string(),
-      bar: z.string(),
-    });
-    
-    const subgraphBuilder = new StateGraph(SubgraphState)
-      .addNode("subgraphNode1", (state) => {
-        return { bar: "bar" };
-      })
-      .addNode("subgraphNode2", (state) => {
-        // note that this node is using a state key ('bar') that is only available in the subgraph
-        // and is sending update on the shared state key ('foo')
-        return { foo: state.foo + state.bar };
-      })
-      .addEdge(START, "subgraphNode1")
-      .addEdge("subgraphNode1", "subgraphNode2");
-    
-    const subgraph = subgraphBuilder.compile();
-    
-    // Define parent graph
-    const ParentState = z.object({
-      foo: z.string(),
-    });
-    
-    const builder = new StateGraph(ParentState)
-      .addNode("node1", (state) => {
-        return { foo: "hi! " + state.foo };
-      })
-      .addNode("node2", subgraph)
-      .addEdge(START, "node1")
-      .addEdge("node1", "node2");
-    
-    const graph = builder.compile();
-
-    for await (const chunk of await graph.stream(
-      { foo: "foo" },
-      {
-        streamMode: "updates",
-        subgraphs: true, // (1)!
-      }
-    )) {
-      console.log(chunk);
-    }
-    ```
-  
-    2. Set `subgraphs: true` to stream outputs from subgraphs.
-
-    ```
-    [[], { node1: { foo: 'hi! foo' } }]
-    [['node2:e58e5673-a661-ebb0-70d4-e298a7fc28b7'], { subgraphNode1: { bar: 'bar' } }]
-    [['node2:e58e5673-a661-ebb0-70d4-e298a7fc28b7'], { subgraphNode2: { foo: 'hi! foobar' } }]
-    [[], { node2: { foo: 'hi! foobar' } }]
-    ```
-    :::
+    

docs/docs/tutorials/get-started/3-add-memory.md

@@ -17,7 +17,7 @@ Create a `MemorySaver` checkpointer:
 :::python
 
 ```python
-from langgraph.checkpoint.memory import InMemorySaver
+from langgraph.checkpoint.memory import MemorySaver
 
 memory = InMemorySaver()
 ```
@@ -447,4 +447,3 @@ const graph = new StateGraph(State)
 ## Next steps
 
 In the next tutorial, you will [add human-in-the-loop to the chatbot](./4-human-in-the-loop.md) to handle situations where it may need guidance or verification before proceeding.
-

docs/overrides/main.html

@@ -360,5 +360,5 @@ j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src=
 {% endblock %}
 
 {% block announce %}
-Our new LangChain Academy Course Deep Research with LangGraph is now live! <a href="https://academy.langchain.com/courses/deep-research-with-langgraph/?utm_medium=internal&utm_source=docs&utm_campaign=q3-2025_deep-research-course_co" target="_blank">Enroll for free</a>.
+<strong>LangGraph Platform docs have moved!</strong> Find the LangGraph Platform docs at the new <a href="https://docs.langchain.com/langgraph-platform" target="_blank">LangChain Docs</a> site.
 {% endblock %}

docs/uv.lock

@@ -2337,7 +2337,7 @@ wheels = [
 
 [[package]]
 name = "langgraph"
-version = "0.6.2"
+version = "0.6.1"
 source = { editable = "../libs/langgraph" }
 dependencies = [
     { name = "langchain-core" },
@@ -2524,7 +2524,6 @@ docs = [
     { name = "markdown-include" },
     { name = "mkdocs" },
     { name = "mkdocs-exclude" },
-    { name = "mkdocs-exclude-search" },
     { name = "mkdocs-git-committers-plugin-2" },
     { name = "mkdocs-include-markdown-plugin" },
     { name = "mkdocs-material", extra = ["imaging"] },
@@ -2596,7 +2595,6 @@ docs = [
     { name = "markdown-include" },
     { name = "mkdocs" },
     { name = "mkdocs-exclude" },
-    { name = "mkdocs-exclude-search" },
     { name = "mkdocs-git-committers-plugin-2" },
     { name = "mkdocs-include-markdown-plugin", specifier = ">=7.1.6" },
     { name = "mkdocs-material", extras = ["imaging"] },
@@ -2643,7 +2641,7 @@ test = [
 
 [[package]]
 name = "langgraph-prebuilt"
-version = "0.6.2"
+version = "0.6.1"
 source = { editable = "../libs/prebuilt" }
 dependencies = [
     { name = "langchain-core" },
@@ -3032,18 +3030,6 @@ dependencies = [
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/54/b5/3a8e289282c9e8d7003f8a2f53d673d4fdaa81d493dc6966092d9985b6fc/mkdocs-exclude-1.0.2.tar.gz", hash = "sha256:ba6fab3c80ddbe3fd31d3e579861fd3124513708271180a5f81846da8c7e2a51", size = 6751, upload-time = "2019-02-20T23:34:12.81Z" }
 
-[[package]]
-name = "mkdocs-exclude-search"
-version = "0.6.6"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "mkdocs" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/1d/52/8243589d294cf6091c1145896915fe50feea0e91d64d843942d0175770c2/mkdocs-exclude-search-0.6.6.tar.gz", hash = "sha256:3cdff1b9afdc1b227019cd1e124f401453235b92153d60c0e5e651a76be4f044", size = 9501, upload-time = "2023-12-03T22:58:21.259Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/3b/ef/9af45ffb1bdba684a0694922abae0bb771e9777aba005933f838b7f1bcea/mkdocs_exclude_search-0.6.6-py3-none-any.whl", hash = "sha256:2b4b941d1689808db533fe4a6afba75ce76c9bab8b21d4e31efc05fd8c4e0a4f", size = 7821, upload-time = "2023-12-03T22:58:19.355Z" },
-]
-
 [[package]]
 name = "mkdocs-get-deps"
 version = "0.2.0"

libs/checkpoint-postgres/uv.lock

@@ -329,7 +329,6 @@ dev = [
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },
     { name = "pytest-watcher" },
-    { name = "redis" },
     { name = "ruff" },
 ]
 

libs/checkpoint-sqlite/uv.lock

@@ -341,7 +341,6 @@ dev = [
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },
     { name = "pytest-watcher" },
-    { name = "redis" },
     { name = "ruff" },
 ]
 

libs/checkpoint/langgraph/cache/redis/__init__.py

@@ -1,144 +0,0 @@
-from __future__ import annotations
-
-from collections.abc import Mapping, Sequence
-from typing import Any
-
-from langgraph.cache.base import BaseCache, FullKey, Namespace, ValueT
-from langgraph.checkpoint.serde.base import SerializerProtocol
-
-
-class RedisCache(BaseCache[ValueT]):
-    """Redis-based cache implementation with TTL support."""
-
-    def __init__(
-        self,
-        redis: Any,
-        *,
-        serde: SerializerProtocol | None = None,
-        prefix: str = "langgraph:cache:",
-    ) -> None:
-        """Initialize the cache with a Redis client.
-
-        Args:
-            redis: Redis client instance (sync or async)
-            serde: Serializer to use for values
-            prefix: Key prefix for all cached values
-        """
-        super().__init__(serde=serde)
-        self.redis = redis
-        self.prefix = prefix
-
-    def _make_key(self, ns: Namespace, key: str) -> str:
-        """Create a Redis key from namespace and key."""
-        ns_str = ":".join(ns) if ns else ""
-        return f"{self.prefix}{ns_str}:{key}" if ns_str else f"{self.prefix}{key}"
-
-    def _parse_key(self, redis_key: str) -> tuple[Namespace, str]:
-        """Parse a Redis key back to namespace and key."""
-        if not redis_key.startswith(self.prefix):
-            raise ValueError(
-                f"Key {redis_key} does not start with prefix {self.prefix}"
-            )
-
-        remaining = redis_key[len(self.prefix) :]
-        if ":" in remaining:
-            parts = remaining.split(":")
-            key = parts[-1]
-            ns_parts = parts[:-1]
-            return (tuple(ns_parts), key)
-        else:
-            return (tuple(), remaining)
-
-    def get(self, keys: Sequence[FullKey]) -> dict[FullKey, ValueT]:
-        """Get the cached values for the given keys."""
-        if not keys:
-            return {}
-
-        # Build Redis keys
-        redis_keys = [self._make_key(ns, key) for ns, key in keys]
-
-        # Get values from Redis using MGET
-        try:
-            raw_values = self.redis.mget(redis_keys)
-        except Exception:
-            # If Redis is unavailable, return empty dict
-            return {}
-
-        values: dict[FullKey, ValueT] = {}
-        for i, raw_value in enumerate(raw_values):
-            if raw_value is not None:
-                try:
-                    # Deserialize the value
-                    encoding, data = raw_value.split(b":", 1)
-                    values[keys[i]] = self.serde.loads_typed((encoding.decode(), data))
-                except Exception:
-                    # Skip corrupted entries
-                    continue
-
-        return values
-
-    async def aget(self, keys: Sequence[FullKey]) -> dict[FullKey, ValueT]:
-        """Asynchronously get the cached values for the given keys."""
-        return self.get(keys)
-
-    def set(self, mapping: Mapping[FullKey, tuple[ValueT, int | None]]) -> None:
-        """Set the cached values for the given keys and TTLs."""
-        if not mapping:
-            return
-
-        # Use pipeline for efficient batch operations
-        pipe = self.redis.pipeline()
-
-        for (ns, key), (value, ttl) in mapping.items():
-            redis_key = self._make_key(ns, key)
-            encoding, data = self.serde.dumps_typed(value)
-
-            # Store as "encoding:data" format
-            serialized_value = f"{encoding}:".encode() + data
-
-            if ttl is not None:
-                pipe.setex(redis_key, ttl, serialized_value)
-            else:
-                pipe.set(redis_key, serialized_value)
-
-        try:
-            pipe.execute()
-        except Exception:
-            # Silently fail if Redis is unavailable
-            pass
-
-    async def aset(self, mapping: Mapping[FullKey, tuple[ValueT, int | None]]) -> None:
-        """Asynchronously set the cached values for the given keys and TTLs."""
-        self.set(mapping)
-
-    def clear(self, namespaces: Sequence[Namespace] | None = None) -> None:
-        """Delete the cached values for the given namespaces.
-        If no namespaces are provided, clear all cached values."""
-        try:
-            if namespaces is None:
-                # Clear all keys with our prefix
-                pattern = f"{self.prefix}*"
-                keys = self.redis.keys(pattern)
-                if keys:
-                    self.redis.delete(*keys)
-            else:
-                # Clear specific namespaces
-                keys_to_delete = []
-                for ns in namespaces:
-                    ns_str = ":".join(ns) if ns else ""
-                    pattern = (
-                        f"{self.prefix}{ns_str}:*" if ns_str else f"{self.prefix}*"
-                    )
-                    keys = self.redis.keys(pattern)
-                    keys_to_delete.extend(keys)
-
-                if keys_to_delete:
-                    self.redis.delete(*keys_to_delete)
-        except Exception:
-            # Silently fail if Redis is unavailable
-            pass
-
-    async def aclear(self, namespaces: Sequence[Namespace] | None = None) -> None:
-        """Asynchronously delete the cached values for the given namespaces.
-        If no namespaces are provided, clear all cached values."""
-        self.clear(namespaces)

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

@@ -81,9 +81,6 @@ class Checkpoint(TypedDict):
     This keeps track of the versions of the channels that each node has seen.
     Used to determine which nodes to execute next.
     """
-    updated_channels: list[str] | None
-    """The channels that were updated in this checkpoint.
-    """
 
 
 def copy_checkpoint(checkpoint: Checkpoint) -> Checkpoint:
@@ -95,7 +92,6 @@ def copy_checkpoint(checkpoint: Checkpoint) -> Checkpoint:
         channel_versions=checkpoint["channel_versions"].copy(),
         versions_seen={k: v.copy() for k, v in checkpoint["versions_seen"].items()},
         pending_sends=checkpoint.get("pending_sends", []).copy(),
-        updated_channels=checkpoint.get("updated_channels", None),
     )
 
 
@@ -441,7 +437,6 @@ def empty_checkpoint() -> Checkpoint:
         channel_versions={},
         versions_seen={},
         pending_sends=[],
-        updated_channels=None,
     )
 
 
@@ -475,5 +470,4 @@ def create_checkpoint(
         channel_versions=checkpoint["channel_versions"],
         versions_seen=checkpoint["versions_seen"],
         pending_sends=checkpoint.get("pending_sends", []),
-        updated_channels=None,
     )

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

@@ -64,21 +64,14 @@ class AsyncBatchedBaseStore(BaseStore):
         super().__init__()
         self._loop = asyncio.get_running_loop()
         self._aqueue: asyncio.Queue[tuple[asyncio.Future, Op]] = asyncio.Queue()
-        self._task: asyncio.Task | None = None
-        self._ensure_task()
+        self._task = self._loop.create_task(_run(self._aqueue, weakref.ref(self)))
 
     def __del__(self) -> None:
         try:
-            if self._task:
-                self._task.cancel()
+            self._task.cancel()
         except RuntimeError:
             pass
 
-    def _ensure_task(self) -> None:
-        """Ensure the background processing loop is running."""
-        if self._task is None or self._task.done():
-            self._task = self._loop.create_task(_run(self._aqueue, weakref.ref(self)))
-
     async def aget(
         self,
         namespace: tuple[str, ...],
@@ -86,7 +79,7 @@ class AsyncBatchedBaseStore(BaseStore):
         *,
         refresh_ttl: bool | None = None,
     ) -> Item | None:
-        self._ensure_task()
+        assert not self._task.done()
         fut = self._loop.create_future()
         self._aqueue.put_nowait(
             (
@@ -111,7 +104,7 @@ class AsyncBatchedBaseStore(BaseStore):
         offset: int = 0,
         refresh_ttl: bool | None = None,
     ) -> list[SearchItem]:
-        self._ensure_task()
+        assert not self._task.done()
         fut = self._loop.create_future()
         self._aqueue.put_nowait(
             (
@@ -137,7 +130,7 @@ class AsyncBatchedBaseStore(BaseStore):
         *,
         ttl: float | None | NotProvided = NOT_PROVIDED,
     ) -> None:
-        self._ensure_task()
+        assert not self._task.done()
         _validate_namespace(namespace)
         fut = self._loop.create_future()
         self._aqueue.put_nowait(
@@ -155,7 +148,7 @@ class AsyncBatchedBaseStore(BaseStore):
         namespace: tuple[str, ...],
         key: str,
     ) -> None:
-        self._ensure_task()
+        assert not self._task.done()
         fut = self._loop.create_future()
         self._aqueue.put_nowait((fut, PutOp(namespace, key, None)))
         return await fut
@@ -169,7 +162,7 @@ class AsyncBatchedBaseStore(BaseStore):
         limit: int = 100,
         offset: int = 0,
     ) -> list[tuple[str, ...]]:
-        self._ensure_task()
+        assert not self._task.done()
         fut = self._loop.create_future()
         match_conditions = []
         if prefix:

libs/checkpoint/pyproject.toml

@@ -32,7 +32,6 @@ dev = [
   "numpy",
   "pandas",
   "pandas-stubs>=2.2.2.240807",
-  "redis",
 ]
 
 [tool.hatch.build.targets.wheel]

libs/checkpoint/tests/test_redis_cache.py

@@ -1,309 +0,0 @@
-"""Unit tests for Redis cache implementation."""
-
-import time
-
-import pytest
-import redis
-
-from langgraph.cache.redis import RedisCache
-
-
-class TestRedisCache:
-    @pytest.fixture(autouse=True)
-    def setup(self):
-        """Set up test Redis client and cache."""
-        self.client = redis.Redis(
-            host="localhost", port=6379, db=0, decode_responses=False
-        )
-        try:
-            self.client.ping()
-        except redis.ConnectionError:
-            pytest.skip("Redis server not available")
-
-        self.cache = RedisCache(self.client, prefix="test:cache:")
-
-        # Clean up before each test
-        self.client.flushdb()
-
-    def teardown_method(self):
-        """Clean up after each test."""
-        try:
-            self.client.flushdb()
-        except Exception:
-            pass
-
-    def test_basic_set_and_get(self):
-        """Test basic set and get operations."""
-        keys = [(("graph", "node"), "key1")]
-        values = {keys[0]: ({"result": 42}, None)}
-
-        # Set value
-        self.cache.set(values)
-
-        # Get value
-        result = self.cache.get(keys)
-        assert len(result) == 1
-        assert result[keys[0]] == {"result": 42}
-
-    def test_batch_operations(self):
-        """Test batch set and get operations."""
-        keys = [
-            (("graph", "node1"), "key1"),
-            (("graph", "node2"), "key2"),
-            (("other", "node"), "key3"),
-        ]
-        values = {
-            keys[0]: ({"result": 1}, None),
-            keys[1]: ({"result": 2}, 60),  # With TTL
-            keys[2]: ({"result": 3}, None),
-        }
-
-        # Set values
-        self.cache.set(values)
-
-        # Get all values
-        result = self.cache.get(keys)
-        assert len(result) == 3
-        assert result[keys[0]] == {"result": 1}
-        assert result[keys[1]] == {"result": 2}
-        assert result[keys[2]] == {"result": 3}
-
-    def test_ttl_behavior(self):
-        """Test TTL (time-to-live) functionality."""
-        key = (("graph", "node"), "ttl_key")
-        values = {key: ({"data": "expires_soon"}, 1)}  # 1 second TTL
-
-        # Set with TTL
-        self.cache.set(values)
-
-        # Should be available immediately
-        result = self.cache.get([key])
-        assert len(result) == 1
-        assert result[key] == {"data": "expires_soon"}
-
-        # Wait for expiration
-        time.sleep(1.1)
-
-        # Should be expired
-        result = self.cache.get([key])
-        assert len(result) == 0
-
-    def test_namespace_isolation(self):
-        """Test that different namespaces are isolated."""
-        key1 = (("graph1", "node"), "same_key")
-        key2 = (("graph2", "node"), "same_key")
-
-        values = {key1: ({"graph": 1}, None), key2: ({"graph": 2}, None)}
-
-        self.cache.set(values)
-
-        result = self.cache.get([key1, key2])
-        assert result[key1] == {"graph": 1}
-        assert result[key2] == {"graph": 2}
-
-    def test_clear_all(self):
-        """Test clearing all cached values."""
-        keys = [(("graph", "node1"), "key1"), (("graph", "node2"), "key2")]
-        values = {keys[0]: ({"result": 1}, None), keys[1]: ({"result": 2}, None)}
-
-        self.cache.set(values)
-
-        # Verify data exists
-        result = self.cache.get(keys)
-        assert len(result) == 2
-
-        # Clear all
-        self.cache.clear()
-
-        # Verify data is gone
-        result = self.cache.get(keys)
-        assert len(result) == 0
-
-    def test_clear_by_namespace(self):
-        """Test clearing cached values by namespace."""
-        keys = [
-            (("graph1", "node"), "key1"),
-            (("graph2", "node"), "key2"),
-            (("graph1", "other"), "key3"),
-        ]
-        values = {
-            keys[0]: ({"result": 1}, None),
-            keys[1]: ({"result": 2}, None),
-            keys[2]: ({"result": 3}, None),
-        }
-
-        self.cache.set(values)
-
-        # Clear only graph1 namespace
-        self.cache.clear([("graph1", "node"), ("graph1", "other")])
-
-        # graph1 should be cleared, graph2 should remain
-        result = self.cache.get(keys)
-        assert len(result) == 1
-        assert result[keys[1]] == {"result": 2}
-
-    def test_empty_operations(self):
-        """Test behavior with empty keys/values."""
-        # Empty get
-        result = self.cache.get([])
-        assert result == {}
-
-        # Empty set
-        self.cache.set({})  # Should not raise error
-
-    def test_nonexistent_keys(self):
-        """Test getting keys that don't exist."""
-        keys = [(("graph", "node"), "nonexistent")]
-        result = self.cache.get(keys)
-        assert len(result) == 0
-
-    @pytest.mark.asyncio
-    async def test_async_operations(self):
-        """Test async set and get operations with sync Redis client."""
-        # Create sync Redis client and cache (like main integration tests)
-        client = redis.Redis(host="localhost", port=6379, db=1, decode_responses=False)
-        try:
-            client.ping()
-        except Exception:
-            pytest.skip("Redis not available")
-
-        cache = RedisCache(client, prefix="test:async:")
-
-        keys = [(("graph", "node"), "async_key")]
-        values = {keys[0]: ({"async": True}, None)}
-
-        # Async set (delegates to sync)
-        await cache.aset(values)
-
-        # Async get (delegates to sync)
-        result = await cache.aget(keys)
-        assert len(result) == 1
-        assert result[keys[0]] == {"async": True}
-
-        # Cleanup
-        client.flushdb()
-
-    @pytest.mark.asyncio
-    async def test_async_clear(self):
-        """Test async clear operations with sync Redis client."""
-        # Create sync Redis client and cache (like main integration tests)
-        client = redis.Redis(host="localhost", port=6379, db=1, decode_responses=False)
-        try:
-            client.ping()
-        except Exception:
-            pytest.skip("Redis not available")
-
-        cache = RedisCache(client, prefix="test:async:")
-
-        keys = [(("graph", "node"), "key")]
-        values = {keys[0]: ({"data": "test"}, None)}
-
-        await cache.aset(values)
-
-        # Verify data exists
-        result = await cache.aget(keys)
-        assert len(result) == 1
-
-        # Clear all (delegates to sync)
-        await cache.aclear()
-
-        # Verify data is gone
-        result = await cache.aget(keys)
-        assert len(result) == 0
-
-        # Cleanup
-        client.flushdb()
-
-    def test_redis_unavailable_get(self):
-        """Test behavior when Redis is unavailable during get operations."""
-        # Create cache with non-existent Redis server
-        bad_client = redis.Redis(
-            host="nonexistent", port=9999, socket_connect_timeout=0.1
-        )
-        cache = RedisCache(bad_client, prefix="test:cache:")
-
-        keys = [(("graph", "node"), "key")]
-        result = cache.get(keys)
-
-        # Should return empty dict when Redis unavailable
-        assert result == {}
-
-    def test_redis_unavailable_set(self):
-        """Test behavior when Redis is unavailable during set operations."""
-        # Create cache with non-existent Redis server
-        bad_client = redis.Redis(
-            host="nonexistent", port=9999, socket_connect_timeout=0.1
-        )
-        cache = RedisCache(bad_client, prefix="test:cache:")
-
-        keys = [(("graph", "node"), "key")]
-        values = {keys[0]: ({"data": "test"}, None)}
-
-        # Should not raise exception when Redis unavailable
-        cache.set(values)  # Should silently fail
-
-    @pytest.mark.asyncio
-    async def test_redis_unavailable_async(self):
-        """Test async behavior when Redis is unavailable."""
-        # Create sync cache with non-existent Redis server (like main integration tests)
-        bad_client = redis.Redis(
-            host="nonexistent", port=9999, socket_connect_timeout=0.1
-        )
-        cache = RedisCache(bad_client, prefix="test:cache:")
-
-        keys = [(("graph", "node"), "key")]
-        values = {keys[0]: ({"data": "test"}, None)}
-
-        # Should return empty dict for get (delegates to sync)
-        result = await cache.aget(keys)
-        assert result == {}
-
-        # Should not raise exception for set (delegates to sync)
-        await cache.aset(values)  # Should silently fail
-
-    def test_corrupted_data_handling(self):
-        """Test handling of corrupted data in Redis."""
-        # Set some valid data first
-        keys = [(("graph", "node"), "valid_key")]
-        values = {keys[0]: ({"data": "valid"}, None)}
-        self.cache.set(values)
-
-        # Manually insert corrupted data
-        corrupted_key = self.cache._make_key(("graph", "node"), "corrupted_key")
-        self.client.set(corrupted_key, b"invalid:data:format:too:many:colons")
-
-        # Should skip corrupted entry and return only valid ones
-        all_keys = [keys[0], (("graph", "node"), "corrupted_key")]
-        result = self.cache.get(all_keys)
-
-        assert len(result) == 1
-        assert result[keys[0]] == {"data": "valid"}
-
-    def test_key_parsing_edge_cases(self):
-        """Test key parsing with edge cases."""
-        # Test empty namespace
-        key1 = ((), "empty_ns")
-        values = {key1: ({"data": "empty_ns"}, None)}
-        self.cache.set(values)
-        result = self.cache.get([key1])
-        assert result[key1] == {"data": "empty_ns"}
-
-        # Test namespace with special characters
-        key2 = (("graph:with:colons", "node-with-dashes"), "key_with_underscores")
-        values = {key2: ({"data": "special_chars"}, None)}
-        self.cache.set(values)
-        result = self.cache.get([key2])
-        assert result[key2] == {"data": "special_chars"}
-
-    def test_large_data_serialization(self):
-        """Test handling of large data objects."""
-        # Create a large data structure
-        large_data = {"large_list": list(range(1000)), "nested": {"data": "x" * 1000}}
-        key = (("graph", "node"), "large_key")
-        values = {key: (large_data, None)}
-
-        self.cache.set(values)
-        result = self.cache.get([key])
-
-        assert len(result) == 1
-        assert result[key] == large_data

libs/checkpoint/tests/test_store.py

@@ -34,42 +34,6 @@ class MockAsyncBatchedStore(AsyncBatchedBaseStore):
         return self._store.batch(ops)
 
 
-async def test_async_batch_store_resilience() -> None:
-    """Test that AsyncBatchedBaseStore recovers gracefully from task cancellation."""
-    doc = {"foo": "bar"}
-    async_store = MockAsyncBatchedStore()
-
-    await async_store.aput(("foo", "langgraph", "foo"), "bar", doc)
-
-    # Store the original task reference
-    original_task = async_store._task
-    assert original_task is not None
-    assert not original_task.done()
-
-    # Cancel the background task
-    original_task.cancel()
-    await asyncio.sleep(0.01)
-    assert original_task.cancelled()
-
-    # Perform a new operation - this should trigger _ensure_task() to create a new task
-    result = await async_store.asearch(("foo", "langgraph", "foo"))
-    assert len(result) > 0
-    assert result[0].value == doc
-
-    # Verify a new task was created
-    new_task = async_store._task
-    assert new_task is not None
-    assert new_task is not original_task
-    assert not new_task.done()
-
-    # Test that operations continue to work with the new task
-    doc2 = {"baz": "qux"}
-    await async_store.aput(("test", "namespace"), "key", doc2)
-    result2 = await async_store.aget(("test", "namespace"), "key")
-    assert result2 is not None
-    assert result2.value == doc2
-
-
 def test_get_text_at_path() -> None:
     nested_data = {
         "name": "test",

libs/checkpoint/uv.lock

@@ -32,15 +32,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/a1/ee/48ca1a7c89ffec8b6a0c5d02b89c305671d5ffd8d3c94acf8b8c408575bb/anyio-4.9.0-py3-none-any.whl", hash = "sha256:9f76d541cad6e36af7beb62e978876f3b41e3e04f2c1fbf0884604c0a9c4d93c", size = 100916, upload-time = "2025-03-17T00:02:52.713Z" },
 ]
 
-[[package]]
-name = "async-timeout"
-version = "5.0.1"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/a5/ae/136395dfbfe00dfc94da3f3e136d0b13f394cba8f4841120e34226265780/async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3", size = 9274, upload-time = "2024-11-06T16:41:39.6Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/fe/ba/e2081de779ca30d473f21f5b30e0e737c438205440784c7dfc81efc2b029/async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c", size = 6233, upload-time = "2024-11-06T16:41:37.9Z" },
-]
-
 [[package]]
 name = "certifi"
 version = "2025.7.9"
@@ -354,7 +345,6 @@ dev = [
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },
     { name = "pytest-watcher" },
-    { name = "redis" },
     { name = "ruff" },
 ]
 
@@ -376,7 +366,6 @@ dev = [
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },
     { name = "pytest-watcher" },
-    { name = "redis" },
     { name = "ruff" },
 ]
 
@@ -1164,18 +1153,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/19/87/5124b1c1f2412bb95c59ec481eaf936cd32f0fe2a7b16b97b81c4c017a6a/PyYAML-6.0.2-cp39-cp39-win_amd64.whl", hash = "sha256:39693e1f8320ae4f43943590b49779ffb98acb81f788220ea932a6b6c51004d8", size = 162312, upload-time = "2024-08-06T20:33:49.073Z" },
 ]
 
-[[package]]
-name = "redis"
-version = "6.3.0"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "async-timeout", marker = "python_full_version < '3.11.3'" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/21/cd/030274634a1a052b708756016283ea3d84e91ae45f74d7f5dcf55d753a0f/redis-6.3.0.tar.gz", hash = "sha256:3000dbe532babfb0999cdab7b3e5744bcb23e51923febcfaeb52c8cfb29632ef", size = 4647275, upload-time = "2025-08-05T08:12:31.648Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/df/a7/2fe45801534a187543fc45d28b3844d84559c1589255bc2ece30d92dc205/redis-6.3.0-py3-none-any.whl", hash = "sha256:92f079d656ded871535e099080f70fab8e75273c0236797126ac60242d638e9b", size = 280018, upload-time = "2025-08-05T08:12:30.093Z" },
-]
-
 [[package]]
 name = "requests"
 version = "2.32.4"

libs/cli/Makefile

@@ -4,9 +4,8 @@
 # TESTING AND COVERAGE
 ######################
 
-TEST?= "tests/unit_tests"
 test:
-	uv run pytest $(TEST)
+	uv run pytest tests/unit_tests
 test-integration:
 	uv run pytest tests/integration_tests
 

libs/cli/examples/.env.example

@@ -1,3 +1,10 @@
 OPENAI_API_KEY=placeholder
 ANTHROPIC_API_KEY=placeholder
 TAVILY_API_KEY=placeholder
+LANGCHAIN_TRACING_V2=false
+LANGCHAIN_ENDPOINT=placeholder
+LANGCHAIN_API_KEY=placeholder
+LANGCHAIN_PROJECT=placeholder
+LANGGRAPH_AUTH_TYPE=noop
+LANGSMITH_AUTH_ENDPOINT=placeholder
+LANGSMITH_TENANT_ID=placeholder

libs/cli/generate_schema.py

@@ -163,7 +163,14 @@ def generate_schema():
 
     # Add enum constraint for python_version
     if "python_version" in python_schema["properties"]:
-        python_schema["properties"]["python_version"]["enum"] = ["3.11", "3.12", "3.13"]
+        python_schema["properties"]["python_version"]["enum"] = ["3.11", "3.12"]
+
+    # Add enum constraint for image_distro
+    if "image_distro" in python_schema["properties"]:
+        python_schema["properties"]["image_distro"]["anyOf"] = [
+            {"type": "string", "enum": ["debian", "wolfi"]},
+            {"type": "null"},
+        ]
 
     # Create Node.js schema with node_version
     node_schema = {

libs/cli/js-monorepo-example/.eslintrc.cjs

@@ -1,62 +0,0 @@
-module.exports = {
-  extends: [
-    "eslint:recommended",
-    "prettier",
-    "plugin:@typescript-eslint/recommended",
-  ],
-  parserOptions: {
-    ecmaVersion: 12,
-    parser: "@typescript-eslint/parser",
-    project: "./tsconfig.json",
-    sourceType: "module",
-  },
-  plugins: ["import", "@typescript-eslint", "no-instanceof"],
-  ignorePatterns: [
-    ".eslintrc.cjs",
-    "scripts",
-    "src/utils/lodash/*",
-    "node_modules",
-    "dist",
-    "dist-cjs",
-    "*.js",
-    "*.cjs",
-    "*.d.ts",
-  ],
-  rules: {
-    "no-process-env": 2,
-    "no-instanceof/no-instanceof": 2,
-    "@typescript-eslint/explicit-module-boundary-types": 0,
-    "@typescript-eslint/no-empty-function": 0,
-    "@typescript-eslint/no-shadow": 0,
-    "@typescript-eslint/no-empty-interface": 0,
-    "@typescript-eslint/no-use-before-define": ["error", "nofunc"],
-    "@typescript-eslint/no-unused-vars": ["warn", { args: "none" }],
-    "@typescript-eslint/no-floating-promises": "error",
-    "@typescript-eslint/no-misused-promises": "error",
-    camelcase: 0,
-    "class-methods-use-this": 0,
-    "import/extensions": [2, "ignorePackages"],
-    "import/no-extraneous-dependencies": [
-      "error",
-      { devDependencies: ["**/*.test.ts"] },
-    ],
-    "import/no-unresolved": 0,
-    "import/prefer-default-export": 0,
-    "keyword-spacing": "error",
-    "max-classes-per-file": 0,
-    "max-len": 0,
-    "no-await-in-loop": 0,
-    "no-bitwise": 0,
-    "no-console": 0,
-    "no-restricted-syntax": 0,
-    "no-shadow": 0,
-    "no-continue": 0,
-    "no-underscore-dangle": 0,
-    "no-use-before-define": 0,
-    "no-useless-constructor": 0,
-    "no-return-await": 0,
-    "consistent-return": 0,
-    "no-else-return": 0,
-    "new-cap": ["error", { properties: false, capIsNew: false }],
-  },
-};

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

@@ -1,7 +0,0 @@
-{
-  "node_version": "20",
-  "graphs": {
-    "agent": "./src/graph.ts:graph"
-  },
-  "env": "../../.env"
-}

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

@@ -1,18 +0,0 @@
-{
-  "name": "@js-monorepo-example/agent",
-  "version": "0.0.1",
-  "type": "module",
-  "main": "src/graph.ts",
-  "scripts": {
-    "build": "tsc",
-    "clean": "rm -rf dist"
-  },
-  "dependencies": {
-    "@js-monorepo-example/shared": "*",
-    "@langchain/core": "^0.3.2",
-    "@langchain/langgraph": "^0.2.5"
-  },
-  "devDependencies": {
-    "typescript": "^5.3.3"
-  }
-}

libs/cli/js-monorepo-example/apps/agent/src/graph.ts

@@ -1,47 +0,0 @@
-/**
- * Simple LangGraph.js example for monorepo testing
- */
-import { StateGraph } from "@langchain/langgraph";
-import { RunnableConfig } from "@langchain/core/runnables";
-import { StateAnnotation } from "./state.js";
-import { getGreeting } from "@js-monorepo-example/shared";
-
-/**
- * Simple node that uses the shared library
- */
-const callModel = async (
-  state: typeof StateAnnotation.State,
-  _config: RunnableConfig,
-): Promise<typeof StateAnnotation.Update> => {
-  // Use functions from the shared library
-  const greeting = getGreeting();
-
-  return {
-    messages: [
-      {
-        role: "assistant",
-        content: `${greeting}`,
-      },
-    ],
-  };
-};
-
-/**
- * Simple routing function
- */
-export const route = (
-  state: typeof StateAnnotation.State,
-): "__end__" | "callModel" => {
-  if (state.messages.length > 0) {
-    return "__end__";
-  }
-  return "callModel";
-};
-
-// Create the graph
-const builder = new StateGraph(StateAnnotation)
-  .addNode("callModel", callModel)
-  .addEdge("__start__", "callModel")
-  .addConditionalEdges("callModel", route);
-
-export const graph = builder.compile();

libs/cli/js-monorepo-example/apps/agent/src/state.ts

@@ -1,15 +0,0 @@
-import { BaseMessage, BaseMessageLike } from "@langchain/core/messages";
-import { Annotation, messagesStateReducer } from "@langchain/langgraph";
-
-/**
- * Simple state annotation for the agent
- */
-export const StateAnnotation = Annotation.Root({
-  /**
-   * Messages track the primary execution state of the agent.
-   */
-  messages: Annotation<BaseMessage[], BaseMessageLike[]>({
-    reducer: messagesStateReducer,
-    default: () => [],
-  }),
-});

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

@@ -1,9 +0,0 @@
-{
-  "extends": "../../tsconfig.json",
-  "compilerOptions": {
-    "outDir": "./dist",
-    "rootDir": "./src"
-  },
-  "include": ["src/**/*"],
-  "exclude": ["node_modules", "dist"]
-}

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

@@ -1,14 +0,0 @@
-{
-  "name": "@js-monorepo-example/shared",
-  "version": "0.0.1",
-  "type": "module",
-  "main": "dist/index.js",
-  "types": "dist/index.d.ts",
-  "scripts": {
-    "build": "tsc",
-    "clean": "rm -rf dist"
-  },
-  "devDependencies": {
-    "typescript": "^5.3.3"
-  }
-}

libs/cli/js-monorepo-example/libs/shared/src/index.ts

@@ -1,6 +0,0 @@
-/**
- * Simple utility functions for monorepo testing
- */
-export function getGreeting(): string {
-  return "Hello from shared library!";
-}

libs/cli/js-monorepo-example/libs/shared/tsconfig.json

@@ -1,9 +0,0 @@
-{
-  "extends": "../../tsconfig.json",
-  "compilerOptions": {
-    "outDir": "./dist",
-    "rootDir": "./src"
-  },
-  "include": ["src/**/*"],
-  "exclude": ["node_modules", "dist"]
-}

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

@@ -1,34 +0,0 @@
-{
-  "name": "js-monorepo-example",
-  "version": "0.0.1",
-  "packageManager": "yarn@1.22.22",
-  "description": "A simple monorepo example for LangGraph integration testing.",
-  "private": true,
-  "workspaces": [
-    "libs/*",
-    "apps/*"
-  ],
-  "type": "module",
-  "scripts": {
-    "build": "turbo build",
-    "clean": "turbo clean",
-    "test": "turbo test",
-    "format": "prettier --write .",
-    "lint": "eslint 'apps/**/*.ts' 'libs/**/*.ts'"
-  },
-  "devDependencies": {
-    "turbo": "^2.5.0",
-    "typescript": "^5.3.3",
-    "@tsconfig/recommended": "^1.0.7",
-    "@eslint/eslintrc": "^3.1.0",
-    "@eslint/js": "^9.9.1",
-    "eslint": "^8.41.0",
-    "eslint-config-prettier": "^8.8.0",
-    "eslint-plugin-import": "^2.27.5",
-    "eslint-plugin-no-instanceof": "^1.0.1",
-    "eslint-plugin-prettier": "^4.2.1",
-    "@typescript-eslint/eslint-plugin": "^5.59.8",
-    "@typescript-eslint/parser": "^5.59.8",
-    "prettier": "^3.3.3"
-  }
-}

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

@@ -1,16 +0,0 @@
-{
-  "extends": "@tsconfig/recommended",
-  "compilerOptions": {
-    "target": "ES2022",
-    "module": "ESNext",
-    "moduleResolution": "node",
-    "allowSyntheticDefaultImports": true,
-    "esModuleInterop": true,
-    "skipLibCheck": true,
-    "strict": true,
-    "declaration": true,
-    "outDir": "./dist"
-  },
-  "include": ["apps/**/*", "libs/**/*"],
-  "exclude": ["node_modules", "dist"]
-}

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

@@ -1,15 +0,0 @@
-{
-  "$schema": "https://turbo.build/schema.json",
-  "tasks": {
-    "build": {
-      "dependsOn": ["^build"],
-      "outputs": ["dist/**"]
-    },
-    "clean": {
-      "dependsOn": ["^clean"]
-    },
-    "test": {
-      "dependsOn": ["^test"]
-    }
-  }
-}

libs/cli/langgraph_cli/__init__.py

@@ -1 +0,0 @@
-__version__ = "0.4.1"

libs/cli/langgraph_cli/cli.py

@@ -303,8 +303,6 @@ def _build(
     pull: bool,
     tag: str,
     passthrough: Sequence[str] = (),
-    install_command: Optional[str] = None,
-    build_command: Optional[str] = None,
 ):
     # pull latest images
     if pull:
@@ -324,38 +322,22 @@ def _build(
         "-t",
         tag,
     ]
-    # determine build context: use current directory for JS projects, config parent for Python
-    is_js_project = config_json.get("node_version") and not config_json.get(
-        "python_version"
-    )
-    # build/install commands only apply to JS projects for now
-    # without install/build command, JS projects will follow the old behavior
-    if is_js_project and (build_command or install_command):
-        build_context = str(pathlib.Path.cwd())
-    else:
-        build_context = str(config.parent)
-
     # apply config
     stdin, additional_contexts = langgraph_cli.config.config_to_docker(
-        config,
-        config_json,
-        base_image,
-        api_version,
-        install_command,
-        build_command,
-        build_context,
+        config, config_json, base_image, api_version
     )
     # add additional_contexts
     if additional_contexts:
         for k, v in additional_contexts.items():
             args.extend(["--build-context", f"{k}={v}"])
+    # run docker build
     runner.run(
         subp_exec(
             "docker",
             "build",
             *args,
             *passthrough,
-            build_context,
+            str(config.parent),
             input=stdin,
             verbose=True,
         )
@@ -384,14 +366,6 @@ def _build(
     "\n    --base-image langchain/langgraph-server:0.2  # Pin to a minor version (Python)",
 )
 @OPT_API_VERSION
-@click.option(
-    "--install-command",
-    help="Custom install command to run from the build context root. If not provided, auto-detects based on package manager files.",
-)
-@click.option(
-    "--build-command",
-    help="Custom build command to run from the langgraph.json directory. If not provided, uses default build process.",
-)
 @click.argument("docker_build_args", nargs=-1, type=click.UNPROCESSED)
 @cli.command(
     help="📦 Build LangGraph API server Docker image.",
@@ -407,8 +381,6 @@ def build(
     api_version: Optional[str],
     pull: bool,
     tag: str,
-    install_command: Optional[str],
-    build_command: Optional[str],
 ):
     with Runner() as runner, Progress(message="Pulling...") as set:
         if shutil.which("docker") is None:
@@ -425,8 +397,6 @@ def build(
             pull,
             tag,
             docker_build_args,
-            install_command,
-            build_command,
         )
 
 

libs/cli/langgraph_cli/config.py

@@ -17,9 +17,6 @@ DEFAULT_PYTHON_VERSION = "3.11"
 DEFAULT_IMAGE_DISTRO = "debian"
 
 
-Distros = Literal["debian", "wolfi", "bullseye", "bookworm"]
-
-
 class TTLConfig(TypedDict, total=False):
     """Configuration for TTL (time-to-live) behavior in the store."""
 
@@ -357,8 +354,6 @@ class HttpConfig(TypedDict, total=False):
 
     You can include or exclude headers as configurable values to condition your
     agent's behavior or permissions on a request's headers."""
-    logging_headers: Optional[ConfigurableHeaderConfig]
-    """Optional. Defines which headers are excluded from logging."""
 
 
 class Config(TypedDict, total=False):
@@ -374,13 +369,6 @@ class Config(TypedDict, total=False):
     Must be >= 20 if provided.
     """
 
-    api_version: Optional[str]
-    """Optional. Which semantic version of the LangGraph API server to use.
-    
-    Defaults to latest. Check the
-    [changelog](https://docs.langchain.com/langgraph-platform/langgraph-server-changelog)
-    for more information."""
-
     _INTERNAL_docker_tag: Optional[str]
     """Optional. Internal use only.
     """
@@ -390,11 +378,10 @@ class Config(TypedDict, total=False):
     
     Defaults to langchain/langgraph-api or langchain/langgraphjs-api."""
 
-    image_distro: Optional[Distros]
+    image_distro: Optional[str]
     """Optional. Linux distribution for the base image.
     
-    Must be one of 'wolfi', 'debian', 'bullseye', or 'bookworm'.
-    If omitted, defaults to 'debian' ('latest').
+    Must be either 'debian' or 'wolfi'. If omitted, defaults to 'debian'.
     """
 
     pip_config_file: Optional[str]
@@ -600,28 +587,13 @@ def validate_config(config: Config) -> Config:
     )
 
     image_distro = config.get("image_distro", DEFAULT_IMAGE_DISTRO)
-    internal_docker_tag = config.get("_INTERNAL_docker_tag")
-    api_version = config.get("api_version")
-    if internal_docker_tag:
-        if api_version:
-            raise click.UsageError(
-                "Cannot specify both _INTERNAL_docker_tag and api_version."
-            )
-    if api_version:
-        try:
-            parts = tuple(map(int, api_version.split("-")[0].split(".")))
-            if len(parts) > 3:
-                raise ValueError(
-                    "Version must be major or major.minor or major.minor.patch."
-                )
-        except TypeError:
-            raise click.UsageError(f"Invalid version format: {api_version}") from None
 
     config = {
         "node_version": node_version,
         "python_version": python_version,
         "pip_config_file": config.get("pip_config_file"),
         "pip_installer": config.get("pip_installer", "auto"),
+        "_INTERNAL_docker_tag": config.get("_INTERNAL_docker_tag"),
         "base_image": config.get("base_image"),
         "image_distro": image_distro,
         "dependencies": config.get("dependencies", []),
@@ -636,10 +608,6 @@ def validate_config(config: Config) -> Config:
         "ui_config": config.get("ui_config"),
         "keep_pkg_tools": config.get("keep_pkg_tools"),
     }
-    if internal_docker_tag:
-        config["_INTERNAL_docker_tag"] = internal_docker_tag
-    if api_version:
-        config["api_version"] = api_version
 
     if config.get("node_version"):
         node_version = config["node_version"]
@@ -676,17 +644,17 @@ def validate_config(config: Config) -> Config:
                 "Add at least one dependency to 'dependencies' list."
             )
 
-    if not config.get("graphs"):
+    if not config["graphs"]:
         raise click.UsageError(
             "No graphs found in config. Add at least one graph to 'graphs' dictionary."
         )
 
     # Validate image_distro config
     if image_distro := config.get("image_distro"):
-        if image_distro not in Distros.__args__:
+        if image_distro not in ["debian", "wolfi"]:
             raise click.UsageError(
                 f"Invalid image_distro: '{image_distro}'. "
-                "Must be one of 'debian', 'bullseye', or 'bookworm'."
+                "Must be either 'debian' or 'wolfi'."
             )
 
     if pip_installer := config.get("pip_installer"):
@@ -913,10 +881,10 @@ def _assemble_local_deps(config_path: pathlib.Path, config: Config) -> LocalDeps
                         "Rename the directory to use it as flat-layout package."
                     )
                 check_reserved(resolved.name, local_dep)
-                container_path = f"/deps/outer-{resolved.name}/{resolved.name}"
+                container_path = f"/deps/__outer_{resolved.name}/{resolved.name}"
             else:
                 # src layout
-                container_path = f"/deps/outer-{resolved.name}/src"
+                container_path = f"/deps/__outer_{resolved.name}/src"
                 for file in files:
                     rfile = resolved / file
                     if (
@@ -1286,7 +1254,7 @@ def python_config_to_docker(
     if local_deps.pip_reqs:
         pip_reqs_str = os.linesep.join(
             (
-                f"COPY --from=outer-{reqpath.name} requirements.txt {destpath}"
+                f"COPY --from=__outer_{reqpath.name} requirements.txt {destpath}"
                 if reqpath.parent in local_deps.additional_contexts
                 else f"ADD {reqpath.relative_to(config_path.parent)} {destpath}"
             )
@@ -1305,7 +1273,7 @@ def python_config_to_docker(
     faux_pkgs_str = f"{os.linesep}{os.linesep}".join(
         (
             f"""# -- Adding non-package dependency {fullpath.name} --
-COPY --from=outer-{fullpath.name} . {destpath}"""
+COPY --from=__outer_{fullpath.name} . {destpath}"""
             if fullpath in local_deps.additional_contexts
             else f"""# -- Adding non-package dependency {fullpath.name} --
 ADD {relpath} {destpath}"""
@@ -1320,7 +1288,7 @@ RUN set -ex && \\
                 '[build-system]' \\
                 'requires = ["setuptools>=61"]' \\
                 'build-backend = "setuptools.build_meta"'; do \\
-        echo "$line" >> /deps/outer-{fullpath.name}/pyproject.toml; \\
+        echo "$line" >> /deps/__outer_{fullpath.name}/pyproject.toml; \\
     done
 # -- End of non-package dependency {fullpath.name} --"""
         for fullpath, (relpath, destpath) in local_deps.faux_pkgs.items()
@@ -1423,7 +1391,7 @@ ADD {relpath} /deps/{name}
         if p in local_deps.real_pkgs:
             name = local_deps.real_pkgs[p][1]
         elif p in local_deps.faux_pkgs:
-            name = f"outer-{p.name}"
+            name = f"__outer_{p.name}"
         else:
             raise RuntimeError(f"Unknown additional context: {p}")
         additional_contexts[name] = str(p)
@@ -1436,28 +1404,9 @@ def node_config_to_docker(
     config: Config,
     base_image: str,
     api_version: Optional[str] = None,
-    install_command: Optional[str] = None,
-    build_command: Optional[str] = None,
-    build_context: Optional[str] = None,
 ) -> tuple[str, dict[str, str]]:
-    # Calculate paths for monorepo support
-    if build_context:
-        relative_workdir = _calculate_relative_workdir(config_path, build_context)
-        container_name = pathlib.Path(build_context).name
-        if relative_workdir:
-            faux_path = f"/deps/{container_name}/{relative_workdir}"
-        else:
-            faux_path = f"/deps/{container_name}"
-    else:
-        # Backward compatibility: use the original behavior
-        faux_path = f"/deps/{config_path.parent.name}"
-
-    # Use custom install command or auto-detect
-    if install_command:
-        install_cmd = install_command
-    else:
-        install_cmd = _get_node_pm_install_cmd(config_path, config)
-
+    faux_path = f"/deps/{config_path.parent.name}"
+    install_cmd = _get_node_pm_install_cmd(config_path, config)
     image_str = docker_tag(config, base_image, api_version)
 
     env_vars: list[str] = []
@@ -1484,35 +1433,20 @@ def node_config_to_docker(
 
     env_vars.append(f"ENV LANGSERVE_GRAPHS='{json.dumps(config['graphs'])}'")
 
-    # For monorepo support, we need to handle install and build commands differently
-    if build_context:
-        # Monorepo case: install from root, build from config directory
-        container_root = f"/deps/{pathlib.Path(build_context).name}"
-        install_step = f"RUN cd {container_root} && {install_cmd}"
-
-        if build_command:
-            build_step = f"RUN cd {faux_path} && {build_command}"
-        else:
-            build_step = 'RUN (test ! -f /api/langgraph_api/js/build.mts && echo "Prebuild script not found, skipping") || tsx /api/langgraph_api/js/build.mts'
-    else:
-        # Original behavior: everything happens in the same directory
-        install_step = f"RUN cd {faux_path} && {install_cmd}"
-        build_step = 'RUN (test ! -f /api/langgraph_api/js/build.mts && echo "Prebuild script not found, skipping") || tsx /api/langgraph_api/js/build.mts'
-
     docker_file_contents = [
         f"FROM {image_str}",
         "",
         os.linesep.join(config["dockerfile_lines"]),
         "",
-        f"ADD . {faux_path if not build_context else container_root}",
+        f"ADD . {faux_path}",
         "",
-        install_step,
+        f"RUN cd {faux_path} && {install_cmd}",
         "",
         os.linesep.join(env_vars),
         "",
         f"WORKDIR {faux_path}",
         "",
-        build_step,
+        'RUN (test ! -f /api/langgraph_api/js/build.mts && echo "Prebuild script not found, skipping") || tsx /api/langgraph_api/js/build.mts',
     ]
 
     return os.linesep.join(docker_file_contents), {}
@@ -1531,7 +1465,6 @@ def docker_tag(
     base_image: Optional[str] = None,
     api_version: Optional[str] = None,
 ) -> str:
-    api_version = api_version or config.get("api_version")
     base_image = base_image or default_base_image(config)
 
     image_distro = config.get("image_distro")
@@ -1540,6 +1473,9 @@ def docker_tag(
     if config.get("_INTERNAL_docker_tag"):
         return f"{base_image}:{config['_INTERNAL_docker_tag']}"
 
+    if "/langgraph-server" in base_image:
+        return f"{base_image}-py{config['python_version']}"
+
     # Build the standard tag format
     language, version = None, None
     if config.get("node_version") and not config.get("python_version"):
@@ -1552,50 +1488,22 @@ def docker_tag(
     # Prepend API version if provided
     if api_version:
         full_tag = f"{api_version}-{language}{version_distro_tag}"
-    elif "/langgraph-server" in base_image and version_distro_tag not in base_image:
-        return f"{base_image}-{language}{version_distro_tag}"
     else:
         full_tag = version_distro_tag
 
     return f"{base_image}:{full_tag}"
 
 
-def _calculate_relative_workdir(config_path: pathlib.Path, build_context: str) -> str:
-    """Calculate the relative path from build context to langgraph.json directory."""
-    config_dir = config_path.parent.resolve()
-    build_context_path = pathlib.Path(build_context).resolve()
-
-    try:
-        relative_path = config_dir.relative_to(build_context_path)
-        return str(relative_path) if str(relative_path) != "." else ""
-    except ValueError as _:
-        raise ValueError(
-            f"Configuration file {config_path} is not under the build context {build_context}. "
-            f"Please run the command from a directory that contains your langgraph.json file, "
-        ) from None
-
-
 def config_to_docker(
     config_path: pathlib.Path,
     config: Config,
     base_image: Optional[str] = None,
     api_version: Optional[str] = None,
-    install_command: Optional[str] = None,
-    build_command: Optional[str] = None,
-    build_context: Optional[str] = None,
 ) -> tuple[str, dict[str, str]]:
     base_image = base_image or default_base_image(config)
 
     if config.get("node_version") and not config.get("python_version"):
-        return node_config_to_docker(
-            config_path,
-            config,
-            base_image,
-            api_version,
-            install_command,
-            build_command,
-            build_context,
-        )
+        return node_config_to_docker(config_path, config, base_image, api_version)
 
     return python_config_to_docker(config_path, config, base_image, api_version)
 

libs/cli/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph-cli"
-dynamic = ["version"]
+version = "0.3.6"
 description = "CLI for interacting with LangGraph API"
 authors = []
 requires-python = ">=3.9"
@@ -15,12 +15,11 @@ dependencies = [
     "click>=8.1.7",
     "langgraph-sdk>=0.1.0 ; python_version >= '3.11'",
 ]
-[tool.hatch.version]
-path = "langgraph_cli/__init__.py"
+
 [project.optional-dependencies]
 inmem = [
-    "langgraph-api>=0.3,<0.5.0 ; python_version >= '3.11'",
-    "langgraph-runtime-inmem>=0.7 ; python_version >= '3.11'",
+    "langgraph-api>=0.2.67,<0.3.0 ; python_version >= '3.11'",
+    "langgraph-runtime-inmem>=0.6.0 ; python_version >= '3.11'",
     "python-dotenv>=0.8.0",
 ]
 

libs/cli/python-monorepo-example/apps/agent/langgraph.json

@@ -1,7 +0,0 @@
-{
-  "dependencies": [".", "../../libs/shared", "../../libs/common"],
-  "graphs": {
-    "agent": "./src/agent/graph.py:graph"
-  },
-  "env": ".env"
-}

libs/cli/python-monorepo-example/apps/agent/pyproject.toml

@@ -1,19 +0,0 @@
-[project]
-name = "agent"
-version = "0.0.1"
-description = "Agent for the Python monorepo"
-authors = [
-    { name = "Developer", email = "dev@example.com" },
-]
-license = { text = "MIT" }
-requires-python = ">=3.11,<4.0"
-
-[build-system]
-requires = ["setuptools>=73.0.0", "wheel"]
-build-backend = "setuptools.build_meta"
-
-[tool.setuptools]
-packages = ["agent"]
-
-[tool.setuptools.package-dir]
-"agent" = "src/agent"

libs/cli/python-monorepo-example/apps/agent/src/agent/__init__.py

@@ -1 +0,0 @@
-"""Agent package."""

libs/cli/python-monorepo-example/apps/agent/src/agent/graph.py

@@ -1,40 +0,0 @@
-"""Simple LangGraph agent for monorepo testing."""
-
-from common import get_common_prefix
-from langchain_core.messages import AIMessage
-from langgraph.graph import END, START, StateGraph
-from shared import get_dummy_message
-
-from agent.state import State
-
-
-def call_model(state: State) -> dict:
-    """Simple node that uses the shared libraries."""
-    # Use functions from both shared packages
-    dummy_message = get_dummy_message()
-    prefix = get_common_prefix()
-
-    message = AIMessage(content=f"{prefix} Agent says: {dummy_message}")
-
-    return {"messages": [message]}
-
-
-def should_continue(state: State):
-    """Conditional edge - end after first message."""
-    messages = state["messages"]
-    if len(messages) > 0:
-        return END
-    return "call_model"
-
-
-# Build the graph
-workflow = StateGraph(State)
-
-# Add the node
-workflow.add_node("call_model", call_model)
-
-# Add edges
-workflow.add_edge(START, "call_model")
-workflow.add_conditional_edges("call_model", should_continue)
-
-graph = workflow.compile()

libs/cli/python-monorepo-example/apps/agent/src/agent/state.py

@@ -1,13 +0,0 @@
-"""State definition for the agent."""
-
-from collections.abc import Sequence
-from typing import Annotated, TypedDict
-
-from langchain_core.messages import BaseMessage
-from langgraph.graph.message import add_messages
-
-
-class State(TypedDict):
-    """The state of the agent."""
-
-    messages: Annotated[Sequence[BaseMessage], add_messages]

libs/cli/python-monorepo-example/libs/common/__init__.py

@@ -1,5 +0,0 @@
-"""Common helper functions package."""
-
-from .helpers import get_common_prefix
-
-__all__ = ["get_common_prefix"]

libs/cli/python-monorepo-example/libs/common/helpers.py

@@ -1,6 +0,0 @@
-"""Common helper functions."""
-
-
-def get_common_prefix() -> str:
-    """Get a common prefix for messages."""
-    return "[COMMON]"

libs/cli/python-monorepo-example/libs/shared/pyproject.toml

@@ -1,20 +0,0 @@
-[project]
-name = "shared"
-version = "0.0.1"
-description = "Shared utilities for the Python monorepo"
-authors = [
-    { name = "Developer", email = "dev@example.com" },
-]
-license = { text = "MIT" }
-requires-python = ">=3.11,<4.0"
-dependencies = []
-
-[build-system]
-requires = ["setuptools>=73.0.0", "wheel"]
-build-backend = "setuptools.build_meta"
-
-[tool.setuptools]
-packages = ["shared"]
-
-[tool.setuptools.package-dir]
-"shared" = "src/shared"

libs/cli/python-monorepo-example/libs/shared/src/shared/__init__.py

@@ -1,5 +0,0 @@
-"""Shared utilities package."""
-
-from .utils import get_dummy_message
-
-__all__ = ["get_dummy_message"]

libs/cli/python-monorepo-example/libs/shared/src/shared/utils.py

@@ -1,6 +0,0 @@
-"""Shared utility functions."""
-
-
-def get_dummy_message() -> str:
-    """Get a dummy message for testing."""
-    return "Hello from shared library!"

libs/cli/python-monorepo-example/pyproject.toml

@@ -1,46 +0,0 @@
-[project]
-name = "python-monorepo-example"
-version = "0.0.1"
-description = "A Python monorepo example with LangGraph agents and shared packages"
-authors = [
-    { name = "Developer", email = "dev@example.com" },
-]
-license = { text = "MIT" }
-requires-python = ">=3.11,<4.0"
-dependencies = [
-    "langgraph>=0.6.0,<0.7.0",
-    "langchain-core>=0.2.14",
-]
-
-[tool.uv.workspace]
-members = ["apps/*", "libs/shared"]
-
-[tool.uv.sources]
-shared = { workspace = true }
-
-[project.optional-dependencies]
-dev = ["mypy>=1.11.1", "ruff>=0.6.1"]
-
-[build-system]
-requires = ["setuptools>=73.0.0", "wheel"]
-build-backend = "setuptools.build_meta"
-
-[tool.ruff]
-lint.select = [
-    "E",    # pycodestyle
-    "F",    # pyflakes
-    "I",    # isort
-    "D",    # pydocstyle
-    "UP",
-]
-lint.ignore = [
-    "D100",  # Missing docstring in public module
-    "D101",  # Missing docstring in public class
-    "D102",  # Missing docstring in public method
-    "D103",  # Missing docstring in public function
-    "D104",  # Missing docstring in public package
-    "D105",  # Missing docstring in magic method
-]
-
-[tool.ruff.lint.pydocstyle]
-convention = "google"

libs/cli/schemas/schema.json

@@ -15,8 +15,7 @@
               "description": "Optional. Python version in 'major.minor' format (e.g. '3.11').\nMust be at least 3.11 or greater for this deployment to function properly.\n",
               "enum": [
                 "3.11",
-                "3.12",
-                "3.13"
+                "3.12"
               ]
             },
             "pip_config_file": {
@@ -41,17 +40,6 @@
               ],
               "description": "Optional. Internal use only.\n"
             },
-            "api_version": {
-              "anyOf": [
-                {
-                  "type": "string"
-                },
-                {
-                  "type": "null"
-                }
-              ],
-              "description": "Optional. Which semantic version of the LangGraph API server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
-            },
             "auth": {
               "anyOf": [
                 {
@@ -134,9 +122,8 @@
             "image_distro": {
               "anyOf": [
                 {
+                  "type": "string",
                   "enum": [
-                    "bookworm",
-                    "bullseye",
                     "debian",
                     "wolfi"
                   ]
@@ -145,7 +132,7 @@
                   "type": "null"
                 }
               ],
-              "description": "Optional. Linux distribution for the base image.\n\nMust be one of 'wolfi', 'debian', 'bullseye', or 'bookworm'.\nIf omitted, defaults to 'debian' ('latest').\n"
+              "description": "Optional. Linux distribution for the base image.\n\nMust be either 'debian' or 'wolfi'. If omitted, defaults to 'debian'.\n"
             },
             "keep_pkg_tools": {
               "anyOf": [
@@ -234,17 +221,6 @@
               ],
               "description": "Optional. Internal use only.\n"
             },
-            "api_version": {
-              "anyOf": [
-                {
-                  "type": "string"
-                },
-                {
-                  "type": "null"
-                }
-              ],
-              "description": "Optional. Which semantic version of the LangGraph API server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
-            },
             "auth": {
               "anyOf": [
                 {
@@ -337,7 +313,7 @@
                   "type": "null"
                 }
               ],
-              "description": "Optional. Linux distribution for the base image.\n\nMust be one of 'wolfi', 'debian', 'bullseye', or 'bookworm'.\nIf omitted, defaults to 'debian' ('latest').\n"
+              "description": "Optional. Linux distribution for the base image.\n\nMust be either 'debian' or 'wolfi'. If omitted, defaults to 'debian'.\n"
             },
             "keep_pkg_tools": {
               "anyOf": [
@@ -576,17 +552,6 @@
         "disable_threads": {
           "type": "boolean",
           "description": "Optional. If True, /threads routes are removed.\n\nDefault is False.\n"
-        },
-        "logging_headers": {
-          "anyOf": [
-            {
-              "$ref": "#/$defs/ConfigurableHeaderConfig"
-            },
-            {
-              "type": "null"
-            }
-          ],
-          "description": "Optional. Defines which headers are excluded from logging."
         }
       },
       "required": []

libs/cli/schemas/schema.v0.json

@@ -15,8 +15,7 @@
               "description": "Optional. Python version in 'major.minor' format (e.g. '3.11').\nMust be at least 3.11 or greater for this deployment to function properly.\n",
               "enum": [
                 "3.11",
-                "3.12",
-                "3.13"
+                "3.12"
               ]
             },
             "pip_config_file": {
@@ -41,17 +40,6 @@
               ],
               "description": "Optional. Internal use only.\n"
             },
-            "api_version": {
-              "anyOf": [
-                {
-                  "type": "string"
-                },
-                {
-                  "type": "null"
-                }
-              ],
-              "description": "Optional. Which semantic version of the LangGraph API server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
-            },
             "auth": {
               "anyOf": [
                 {
@@ -134,9 +122,8 @@
             "image_distro": {
               "anyOf": [
                 {
+                  "type": "string",
                   "enum": [
-                    "bookworm",
-                    "bullseye",
                     "debian",
                     "wolfi"
                   ]
@@ -145,7 +132,7 @@
                   "type": "null"
                 }
               ],
-              "description": "Optional. Linux distribution for the base image.\n\nMust be one of 'wolfi', 'debian', 'bullseye', or 'bookworm'.\nIf omitted, defaults to 'debian' ('latest').\n"
+              "description": "Optional. Linux distribution for the base image.\n\nMust be either 'debian' or 'wolfi'. If omitted, defaults to 'debian'.\n"
             },
             "keep_pkg_tools": {
               "anyOf": [
@@ -234,17 +221,6 @@
               ],
               "description": "Optional. Internal use only.\n"
             },
-            "api_version": {
-              "anyOf": [
-                {
-                  "type": "string"
-                },
-                {
-                  "type": "null"
-                }
-              ],
-              "description": "Optional. Which semantic version of the LangGraph API server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
-            },
             "auth": {
               "anyOf": [
                 {
@@ -337,7 +313,7 @@
                   "type": "null"
                 }
               ],
-              "description": "Optional. Linux distribution for the base image.\n\nMust be one of 'wolfi', 'debian', 'bullseye', or 'bookworm'.\nIf omitted, defaults to 'debian' ('latest').\n"
+              "description": "Optional. Linux distribution for the base image.\n\nMust be either 'debian' or 'wolfi'. If omitted, defaults to 'debian'.\n"
             },
             "keep_pkg_tools": {
               "anyOf": [
@@ -576,17 +552,6 @@
         "disable_threads": {
           "type": "boolean",
           "description": "Optional. If True, /threads routes are removed.\n\nDefault is False.\n"
-        },
-        "logging_headers": {
-          "anyOf": [
-            {
-              "$ref": "#/$defs/ConfigurableHeaderConfig"
-            },
-            {
-              "type": "null"
-            }
-          ],
-          "description": "Optional. Defines which headers are excluded from logging."
         }
       },
       "required": []

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

@@ -381,9 +381,7 @@ def test_dockerfile_command_with_base_image() -> None:
         assert save_path.exists()
         with open(save_path) as f:
             dockerfile = f.read()
-            assert re.match("FROM langchain/langgraph-server:0.2-py3.*", dockerfile), (
-                "\n".join(dockerfile.splitlines()[:3])
-            )
+            assert re.match("FROM langchain/langgraph-server:0.2-py3.*", dockerfile)
 
 
 def test_dockerfile_command_with_docker_compose() -> None:
@@ -570,7 +568,7 @@ def test_build_generate_proper_build_context():
                 catch_exceptions=True,
             )
 
-        build_context_pattern = re.compile(r"--build-context\s+([\w-]+)=([^\s]+)")
+        build_context_pattern = re.compile(r"--build-context\s+(\w+)=([^\s]+)")
 
         build_contexts = re.findall(build_context_pattern, result.output)
         assert len(build_contexts) == 2, (

libs/cli/tests/unit_tests/test_config.py

@@ -38,6 +38,7 @@ def test_validate_config():
     }
     actual_config = validate_config(expected_config)
     expected_config = {
+        "_INTERNAL_docker_tag": None,
         "base_image": None,
         "python_version": "3.11",
         "node_version": None,
@@ -60,6 +61,7 @@ def test_validate_config():
     # full config
     env = ".env"
     expected_config = {
+        "_INTERNAL_docker_tag": None,
         "base_image": None,
         "python_version": "3.12",
         "node_version": None,
@@ -188,6 +190,7 @@ def test_validate_config_image_distro():
             }
         )
     assert "Invalid image_distro: 'ubuntu'" in str(exc_info.value)
+    assert "Must be either 'debian' or 'wolfi'" in str(exc_info.value)
 
     with pytest.raises(click.UsageError) as exc_info:
         validate_config(
@@ -421,14 +424,14 @@ def test_config_to_docker_simple():
     expected_docker_stdin = f"""\
 FROM langchain/langgraph-api:3.11
 # -- Installing local requirements --
-COPY --from=outer-requirements.txt requirements.txt /deps/outer-graphs_reqs_a/graphs_reqs_a/requirements.txt
-RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -r /deps/outer-graphs_reqs_a/graphs_reqs_a/requirements.txt
+COPY --from=__outer_requirements.txt requirements.txt /deps/__outer_graphs_reqs_a/graphs_reqs_a/requirements.txt
+RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -r /deps/__outer_graphs_reqs_a/graphs_reqs_a/requirements.txt
 # -- End of local requirements install --
 # -- Adding local package ../../examples --
 COPY --from=examples . /deps/examples
 # -- End of local package ../../examples --
 # -- Adding non-package dependency unit_tests --
-ADD . /deps/outer-unit_tests/unit_tests
+ADD . /deps/__outer_unit_tests/unit_tests
 RUN set -ex && \\
     for line in '[project]' \\
                 'name = "unit_tests"' \\
@@ -438,11 +441,11 @@ RUN set -ex && \\
                 '[build-system]' \\
                 'requires = ["setuptools>=61"]' \\
                 'build-backend = "setuptools.build_meta"'; do \\
-        echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
+        echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
     done
 # -- End of non-package dependency unit_tests --
 # -- Adding non-package dependency graphs_reqs_a --
-COPY --from=outer-graphs_reqs_a . /deps/outer-graphs_reqs_a/graphs_reqs_a
+COPY --from=__outer_graphs_reqs_a . /deps/__outer_graphs_reqs_a/graphs_reqs_a
 RUN set -ex && \\
     for line in '[project]' \\
                 'name = "graphs_reqs_a"' \\
@@ -452,21 +455,21 @@ RUN set -ex && \\
                 '[build-system]' \\
                 'requires = ["setuptools>=61"]' \\
                 'build-backend = "setuptools.build_meta"'; do \\
-        echo "$line" >> /deps/outer-graphs_reqs_a/pyproject.toml; \\
+        echo "$line" >> /deps/__outer_graphs_reqs_a/pyproject.toml; \\
     done
 # -- End of non-package dependency graphs_reqs_a --
 # -- Installing all local dependencies --
 RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
 # -- End of local dependencies install --
 ENV LANGGRAPH_HTTP='{{"app": "/deps/examples/my_app.py:app"}}'
-ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
+ENV LANGSERVE_GRAPHS='{{"agent": "/deps/__outer_unit_tests/unit_tests/agent.py:graph"}}'
 {FORMATTED_CLEANUP_LINES}
-WORKDIR /deps/outer-unit_tests/unit_tests\
+WORKDIR /deps/__outer_unit_tests/unit_tests\
 """
     assert clean_empty_lines(actual_docker_stdin) == expected_docker_stdin
 
     assert additional_contexts == {
-        "outer-graphs_reqs_a": str(
+        "__outer_graphs_reqs_a": str(
             (pathlib.Path(__file__).parent / "../../examples/graphs_reqs_a").resolve()
         ),
         "examples": str((pathlib.Path(__file__).parent / "../../examples").resolve()),
@@ -484,7 +487,7 @@ def test_config_to_docker_outside_path():
         """\
 FROM langchain/langgraph-api:3.11
 # -- Adding non-package dependency unit_tests --
-ADD . /deps/outer-unit_tests/unit_tests
+ADD . /deps/__outer_unit_tests/unit_tests
 RUN set -ex && \\
     for line in '[project]' \\
                 'name = "unit_tests"' \\
@@ -494,11 +497,11 @@ RUN set -ex && \\
                 '[build-system]' \\
                 'requires = ["setuptools>=61"]' \\
                 'build-backend = "setuptools.build_meta"'; do \\
-        echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
+        echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
     done
 # -- End of non-package dependency unit_tests --
 # -- Adding non-package dependency tests --
-COPY --from=outer-tests . /deps/outer-tests/tests
+COPY --from=__outer_tests . /deps/__outer_tests/tests
 RUN set -ex && \\
     for line in '[project]' \\
                 'name = "tests"' \\
@@ -508,22 +511,22 @@ RUN set -ex && \\
                 '[build-system]' \\
                 'requires = ["setuptools>=61"]' \\
                 'build-backend = "setuptools.build_meta"'; do \\
-        echo "$line" >> /deps/outer-tests/pyproject.toml; \\
+        echo "$line" >> /deps/__outer_tests/pyproject.toml; \\
     done
 # -- End of non-package dependency tests --
 # -- Installing all local dependencies --
 RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
 # -- End of local dependencies install --
-ENV LANGSERVE_GRAPHS='{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}'
+ENV LANGSERVE_GRAPHS='{"agent": "/deps/__outer_unit_tests/unit_tests/agent.py:graph"}'
 """
         + FORMATTED_CLEANUP_LINES
         + """
-WORKDIR /deps/outer-unit_tests/unit_tests\
+WORKDIR /deps/__outer_unit_tests/unit_tests\
 """
     )
     assert clean_empty_lines(actual_docker_stdin) == expected_docker_stdin
     assert additional_contexts == {
-        "outer-tests": str(pathlib.Path(__file__).parent.parent.absolute()),
+        "__outer_tests": str(pathlib.Path(__file__).parent.parent.absolute()),
     }
 
 
@@ -545,7 +548,7 @@ def test_config_to_docker_pipconfig():
 FROM langchain/langgraph-api:3.11
 ADD pipconfig.txt /pipconfig.txt
 # -- Adding non-package dependency unit_tests --
-ADD . /deps/outer-unit_tests/unit_tests
+ADD . /deps/__outer_unit_tests/unit_tests
 RUN set -ex && \\
     for line in '[project]' \\
                 'name = "unit_tests"' \\
@@ -555,17 +558,17 @@ RUN set -ex && \\
                 '[build-system]' \\
                 'requires = ["setuptools>=61"]' \\
                 'build-backend = "setuptools.build_meta"'; do \\
-        echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
+        echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
     done
 # -- End of non-package dependency unit_tests --
 # -- Installing all local dependencies --
 RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
 # -- End of local dependencies install --
-ENV LANGSERVE_GRAPHS='{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}'
+ENV LANGSERVE_GRAPHS='{"agent": "/deps/__outer_unit_tests/unit_tests/agent.py:graph"}'
 """
         + FORMATTED_CLEANUP_LINES
         + """
-WORKDIR /deps/outer-unit_tests/unit_tests\
+WORKDIR /deps/__outer_unit_tests/unit_tests\
 """
     )
     assert clean_empty_lines(actual_docker_stdin) == expected_docker_stdin
@@ -607,7 +610,7 @@ def test_config_to_docker_local_deps():
     expected_docker_stdin = f"""\
 FROM langchain/langgraph-api-custom:3.11
 # -- Adding non-package dependency graphs --
-ADD ./graphs /deps/outer-graphs/src
+ADD ./graphs /deps/__outer_graphs/src
 RUN set -ex && \\
     for line in '[project]' \\
                 'name = "graphs"' \\
@@ -617,13 +620,13 @@ RUN set -ex && \\
                 '[build-system]' \\
                 'requires = ["setuptools>=61"]' \\
                 'build-backend = "setuptools.build_meta"'; do \\
-        echo "$line" >> /deps/outer-graphs/pyproject.toml; \\
+        echo "$line" >> /deps/__outer_graphs/pyproject.toml; \\
     done
 # -- End of non-package dependency graphs --
 # -- Installing all local dependencies --
 RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
 # -- End of local dependencies install --
-ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-graphs/src/agent.py:graph"}}'
+ENV LANGSERVE_GRAPHS='{{"agent": "/deps/__outer_graphs/src/agent.py:graph"}}'
 {FORMATTED_CLEANUP_LINES}\
 """
     assert clean_empty_lines(actual_docker_stdin) == expected_docker_stdin
@@ -691,7 +694,7 @@ ARG foo
 ADD pipconfig.txt /pipconfig.txt
 RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt langchain langchain_openai
 # -- Adding non-package dependency graphs --
-ADD ./graphs/ /deps/outer-graphs/src
+ADD ./graphs/ /deps/__outer_graphs/src
 RUN set -ex && \\
     for line in '[project]' \\
                 'name = "graphs"' \\
@@ -701,13 +704,13 @@ RUN set -ex && \\
                 '[build-system]' \\
                 'requires = ["setuptools>=61"]' \\
                 'build-backend = "setuptools.build_meta"'; do \\
-        echo "$line" >> /deps/outer-graphs/pyproject.toml; \\
+        echo "$line" >> /deps/__outer_graphs/pyproject.toml; \\
     done
 # -- End of non-package dependency graphs --
 # -- Installing all local dependencies --
 RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
 # -- End of local dependencies install --
-ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-graphs/src/agent.py:graph"}}'
+ENV LANGSERVE_GRAPHS='{{"agent": "/deps/__outer_graphs/src/agent.py:graph"}}'
 {FORMATTED_CLEANUP_LINES}"""
     assert clean_empty_lines(actual_docker_stdin) == expected_docker_stdin
     assert additional_contexts == {}
@@ -797,7 +800,7 @@ def test_config_to_docker_gen_ui_python():
     expected_docker_stdin = f"""FROM langchain/langgraph-api:3.11
 RUN /storage/install-node.sh
 # -- Adding non-package dependency unit_tests --
-ADD . /deps/outer-unit_tests/unit_tests
+ADD . /deps/__outer_unit_tests/unit_tests
 RUN set -ex && \\
     for line in '[project]' \\
                 'name = "unit_tests"' \\
@@ -807,7 +810,7 @@ RUN set -ex && \\
                 '[build-system]' \\
                 'requires = ["setuptools>=61"]' \\
                 'build-backend = "setuptools.build_meta"'; do \\
-        echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
+        echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
     done
 # -- End of non-package dependency unit_tests --
 # -- Installing all local dependencies --
@@ -815,13 +818,13 @@ RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/con
 # -- End of local dependencies install --
 ENV LANGGRAPH_UI='{{"agent": "./graphs/agent.ui.jsx"}}'
 ENV LANGGRAPH_UI_CONFIG='{{"shared": ["nuqs"]}}'
-ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
+ENV LANGSERVE_GRAPHS='{{"agent": "/deps/__outer_unit_tests/unit_tests/agent.py:graph"}}'
 # -- Installing JS dependencies --
 ENV NODE_VERSION=20
-RUN cd /deps/outer-unit_tests/unit_tests && npm i && tsx /api/langgraph_api/js/build.mts
+RUN cd /deps/__outer_unit_tests/unit_tests && npm i && tsx /api/langgraph_api/js/build.mts
 # -- End of JS dependencies install --
 {FORMATTED_CLEANUP_LINES}
-WORKDIR /deps/outer-unit_tests/unit_tests"""
+WORKDIR /deps/__outer_unit_tests/unit_tests"""
 
     assert clean_empty_lines(actual_docker_stdin) == expected_docker_stdin
     assert additional_contexts == {}
@@ -843,7 +846,7 @@ def test_config_to_docker_multiplatform():
     expected_docker_stdin = f"""FROM langchain/langgraph-api:3.11
 RUN /storage/install-node.sh
 # -- Adding non-package dependency unit_tests --
-ADD . /deps/outer-unit_tests/unit_tests
+ADD . /deps/__outer_unit_tests/unit_tests
 RUN set -ex && \\
     for line in '[project]' \\
                 'name = "unit_tests"' \\
@@ -853,19 +856,19 @@ RUN set -ex && \\
                 '[build-system]' \\
                 'requires = ["setuptools>=61"]' \\
                 'build-backend = "setuptools.build_meta"'; do \\
-        echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
+        echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
     done
 # -- End of non-package dependency unit_tests --
 # -- Installing all local dependencies --
 RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
 # -- End of local dependencies install --
-ENV LANGSERVE_GRAPHS='{{"python": "/deps/outer-unit_tests/unit_tests/multiplatform/python.py:graph", "js": "/deps/outer-unit_tests/unit_tests/multiplatform/js.mts:graph"}}'
+ENV LANGSERVE_GRAPHS='{{"python": "/deps/__outer_unit_tests/unit_tests/multiplatform/python.py:graph", "js": "/deps/__outer_unit_tests/unit_tests/multiplatform/js.mts:graph"}}'
 # -- Installing JS dependencies --
 ENV NODE_VERSION=22
-RUN cd /deps/outer-unit_tests/unit_tests && npm i && tsx /api/langgraph_api/js/build.mts
+RUN cd /deps/__outer_unit_tests/unit_tests && npm i && tsx /api/langgraph_api/js/build.mts
 # -- End of JS dependencies install --
 {FORMATTED_CLEANUP_LINES}
-WORKDIR /deps/outer-unit_tests/unit_tests"""
+WORKDIR /deps/__outer_unit_tests/unit_tests"""
 
     assert clean_empty_lines(actual_docker_stdin) == expected_docker_stdin
     assert additional_contexts == {}
@@ -984,7 +987,7 @@ def test_config_to_compose_simple_config():
             dockerfile_inline: |
                 FROM langchain/langgraph-api:3.11
                 # -- Adding non-package dependency unit_tests --
-                ADD . /deps/outer-unit_tests/unit_tests
+                ADD . /deps/__outer_unit_tests/unit_tests
                 RUN set -ex && \\
                     for line in '[project]' \\
                                 'name = "unit_tests"' \\
@@ -994,15 +997,15 @@ def test_config_to_compose_simple_config():
                                 '[build-system]' \\
                                 'requires = ["setuptools>=61"]' \\
                                 'build-backend = "setuptools.build_meta"'; do \\
-                        echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
+                        echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
                     done
                 # -- End of non-package dependency unit_tests --
                 # -- Installing all local dependencies --
                 RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
                 # -- End of local dependencies install --
-                ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
+                ENV LANGSERVE_GRAPHS='{{"agent": "/deps/__outer_unit_tests/unit_tests/agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}
-                WORKDIR /deps/outer-unit_tests/unit_tests
+                WORKDIR /deps/__outer_unit_tests/unit_tests
         """
     actual_compose_stdin = config_to_compose(
         PATH_TO_CONFIG,
@@ -1025,7 +1028,7 @@ def test_config_to_compose_env_vars():
             dockerfile_inline: |
                 FROM langchain/langgraph-api-custom:3.11
                 # -- Adding non-package dependency unit_tests --
-                ADD . /deps/outer-unit_tests/unit_tests
+                ADD . /deps/__outer_unit_tests/unit_tests
                 RUN set -ex && \\
                     for line in '[project]' \\
                                 'name = "unit_tests"' \\
@@ -1035,15 +1038,15 @@ def test_config_to_compose_env_vars():
                                 '[build-system]' \\
                                 'requires = ["setuptools>=61"]' \\
                                 'build-backend = "setuptools.build_meta"'; do \\
-                        echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
+                        echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
                     done
                 # -- End of non-package dependency unit_tests --
                 # -- Installing all local dependencies --
                 RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
                 # -- End of local dependencies install --
-                ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
+                ENV LANGSERVE_GRAPHS='{{"agent": "/deps/__outer_unit_tests/unit_tests/agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}
-                WORKDIR /deps/outer-unit_tests/unit_tests
+                WORKDIR /deps/__outer_unit_tests/unit_tests
         """
     openai_api_key = "key"
     actual_compose_stdin = config_to_compose(
@@ -1070,7 +1073,7 @@ def test_config_to_compose_env_file():
             dockerfile_inline: |
                 FROM langchain/langgraph-api:3.11
                 # -- Adding non-package dependency unit_tests --
-                ADD . /deps/outer-unit_tests/unit_tests
+                ADD . /deps/__outer_unit_tests/unit_tests
                 RUN set -ex && \\
                     for line in '[project]' \\
                                 'name = "unit_tests"' \\
@@ -1080,15 +1083,15 @@ def test_config_to_compose_env_file():
                                 '[build-system]' \\
                                 'requires = ["setuptools>=61"]' \\
                                 'build-backend = "setuptools.build_meta"'; do \\
-                        echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
+                        echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
                     done
                 # -- End of non-package dependency unit_tests --
                 # -- Installing all local dependencies --
                 RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
                 # -- End of local dependencies install --
-                ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
+                ENV LANGSERVE_GRAPHS='{{"agent": "/deps/__outer_unit_tests/unit_tests/agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}
-                WORKDIR /deps/outer-unit_tests/unit_tests
+                WORKDIR /deps/__outer_unit_tests/unit_tests
         """
     actual_compose_stdin = config_to_compose(
         PATH_TO_CONFIG,
@@ -1108,7 +1111,7 @@ def test_config_to_compose_watch():
             dockerfile_inline: |
                 FROM langchain/langgraph-api:3.11
                 # -- Adding non-package dependency unit_tests --
-                ADD . /deps/outer-unit_tests/unit_tests
+                ADD . /deps/__outer_unit_tests/unit_tests
                 RUN set -ex && \\
                     for line in '[project]' \\
                                 'name = "unit_tests"' \\
@@ -1118,15 +1121,15 @@ def test_config_to_compose_watch():
                                 '[build-system]' \\
                                 'requires = ["setuptools>=61"]' \\
                                 'build-backend = "setuptools.build_meta"'; do \\
-                        echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
+                        echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
                     done
                 # -- End of non-package dependency unit_tests --
                 # -- Installing all local dependencies --
                 RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
                 # -- End of local dependencies install --
-                ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
+                ENV LANGSERVE_GRAPHS='{{"agent": "/deps/__outer_unit_tests/unit_tests/agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}
-                WORKDIR /deps/outer-unit_tests/unit_tests
+                WORKDIR /deps/__outer_unit_tests/unit_tests
         
         develop:
             watch:
@@ -1155,7 +1158,7 @@ def test_config_to_compose_end_to_end():
             dockerfile_inline: |
                 FROM langchain/langgraph-api:3.11
                 # -- Adding non-package dependency unit_tests --
-                ADD . /deps/outer-unit_tests/unit_tests
+                ADD . /deps/__outer_unit_tests/unit_tests
                 RUN set -ex && \\
                     for line in '[project]' \\
                                 'name = "unit_tests"' \\
@@ -1165,15 +1168,15 @@ def test_config_to_compose_end_to_end():
                                 '[build-system]' \\
                                 'requires = ["setuptools>=61"]' \\
                                 'build-backend = "setuptools.build_meta"'; do \\
-                        echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
+                        echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
                     done
                 # -- End of non-package dependency unit_tests --
                 # -- Installing all local dependencies --
                 RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
                 # -- End of local dependencies install --
-                ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
+                ENV LANGSERVE_GRAPHS='{{"agent": "/deps/__outer_unit_tests/unit_tests/agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}
-                WORKDIR /deps/outer-unit_tests/unit_tests
+                WORKDIR /deps/__outer_unit_tests/unit_tests
         
         develop:
             watch:
@@ -1336,22 +1339,19 @@ def test_docker_tag_different_node_versions_with_distro():
         assert tag == expected_tag, f"Failed for Node.js {node_version}"
 
 
-@pytest.mark.parametrize("in_config", [False, True])
-def test_docker_tag_with_api_version(in_config: bool):
+def test_docker_tag_with_api_version():
     """Test docker_tag function with api_version parameter."""
 
     # Test 1: Python config with api_version and default distro
-    version = "0.2.74"
     config = validate_config(
         {
             "python_version": "3.11",
             "dependencies": ["."],
             "graphs": {"agent": "./agent.py:graph"},
-            "api_version": version if in_config else None,
         }
     )
-    tag = docker_tag(config, api_version=version if not in_config else None)
-    assert tag == f"langchain/langgraph-api:{version}-py3.11"
+    tag = docker_tag(config, api_version="0.2.74")
+    assert tag == "langchain/langgraph-api:0.2.74-py3.11"
 
     # Test 2: Python config with api_version and wolfi distro
     config = validate_config(
@@ -1360,22 +1360,20 @@ def test_docker_tag_with_api_version(in_config: bool):
             "dependencies": ["."],
             "graphs": {"agent": "./agent.py:graph"},
             "image_distro": "wolfi",
-            "api_version": version if in_config else None,
         }
     )
-    tag = docker_tag(config, api_version=version if not in_config else None)
-    assert tag == f"langchain/langgraph-api:{version}-py3.12-wolfi"
+    tag = docker_tag(config, api_version="0.2.74")
+    assert tag == "langchain/langgraph-api:0.2.74-py3.12-wolfi"
 
     # Test 3: Node.js config with api_version and default distro
     config = validate_config(
         {
             "node_version": "20",
             "graphs": {"agent": "./agent.js:graph"},
-            "api_version": version if in_config else None,
         }
     )
-    tag = docker_tag(config, api_version=version if not in_config else None)
-    assert tag == f"langchain/langgraphjs-api:{version}-node20"
+    tag = docker_tag(config, api_version="0.2.74")
+    assert tag == "langchain/langgraphjs-api:0.2.74-node20"
 
     # Test 4: Node.js config with api_version and wolfi distro
     config = validate_config(
@@ -1383,11 +1381,10 @@ def test_docker_tag_with_api_version(in_config: bool):
             "node_version": "20",
             "graphs": {"agent": "./agent.js:graph"},
             "image_distro": "wolfi",
-            "api_version": version if in_config else None,
         }
     )
-    tag = docker_tag(config, api_version=version if not in_config else None)
-    assert tag == f"langchain/langgraphjs-api:{version}-node20-wolfi"
+    tag = docker_tag(config, api_version="0.2.74")
+    assert tag == "langchain/langgraphjs-api:0.2.74-node20-wolfi"
 
     # Test 5: Custom base image with api_version
     config = validate_config(
@@ -1396,15 +1393,10 @@ def test_docker_tag_with_api_version(in_config: bool):
             "dependencies": ["."],
             "graphs": {"agent": "./agent.py:graph"},
             "base_image": "my-registry/custom-image",
-            "api_version": version if in_config else None,
         }
     )
-    tag = docker_tag(
-        config,
-        base_image="my-registry/custom-image",
-        api_version=version if not in_config else None,
-    )
-    assert tag == f"my-registry/custom-image:{version}-py3.11"
+    tag = docker_tag(config, base_image="my-registry/custom-image", api_version="1.0.0")
+    assert tag == "my-registry/custom-image:1.0.0-py3.11"
 
     # Test 6: api_version with different Python versions
     for python_version in ["3.11", "3.12", "3.13"]:
@@ -1413,11 +1405,10 @@ def test_docker_tag_with_api_version(in_config: bool):
                 "python_version": python_version,
                 "dependencies": ["."],
                 "graphs": {"agent": "./agent.py:graph"},
-                "api_version": version if in_config else None,
             }
         )
-        tag = docker_tag(config, api_version=version if not in_config else None)
-        assert tag == f"langchain/langgraph-api:{version}-py{python_version}"
+        tag = docker_tag(config, api_version="0.2.74")
+        assert tag == f"langchain/langgraph-api:0.2.74-py{python_version}"
 
     # Test 7: Without api_version should work as before
     config = validate_config(
@@ -1437,11 +1428,10 @@ def test_docker_tag_with_api_version(in_config: bool):
             "node_version": "20",
             "dependencies": ["."],
             "graphs": {"python": "./agent.py:graph", "js": "./agent.js:graph"},
-            "api_version": version if in_config else None,
         }
     )
-    tag = docker_tag(config, api_version=version if not in_config else None)
-    assert tag == f"langchain/langgraph-api:{version}-py3.11"
+    tag = docker_tag(config, api_version="0.2.74")
+    assert tag == "langchain/langgraph-api:0.2.74-py3.11"
 
     # Test 9: api_version with _INTERNAL_docker_tag should ignore api_version
     config = validate_config(
@@ -1461,15 +1451,12 @@ def test_docker_tag_with_api_version(in_config: bool):
             "python_version": "3.11",
             "dependencies": ["."],
             "graphs": {"agent": "./agent.py:graph"},
-            "api_version": version if in_config else None,
         }
     )
     tag = docker_tag(
-        config,
-        base_image="langchain/langgraph-server",
-        api_version=version if not in_config else None,
+        config, base_image="langchain/langgraph-server:0.2", api_version="0.2.74"
     )
-    assert tag == f"langchain/langgraph-server:{version}-py3.11"
+    assert tag == "langchain/langgraph-server:0.2-py3.11"
 
 
 def test_config_to_docker_with_api_version():

libs/cli/uv.lock

@@ -18,16 +18,16 @@ wheels = [
 
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-version = "4.10.0"
+version = "4.9.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
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     { name = "sniffio", marker = "python_full_version >= '3.11'" },
     { name = "typing-extensions", marker = "python_full_version >= '3.11' and python_full_version < '3.13'" },
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 [[package]]
@@ -53,11 +53,11 @@ wheels = [
 
 [[package]]
 name = "certifi"
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+version = "2025.7.14"
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 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/4f/52/34c6cf5bb9285074dc3531c437b3919e825d976fde097a7a73f79e726d03/certifi-2025.7.14-py3-none-any.whl", hash = "sha256:6b31f564a415d79ee77df69d757bb49a5bb53bd9f756cbbe24394ffd6fc1f4b2", size = 162722, upload-time = "2025-07-14T03:29:26.863Z" },
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 [[package]]
@@ -131,77 +131,76 @@ wheels = [
 
 [[package]]
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+version = "3.4.2"
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 ]

libs/langgraph/.claude/settings.local.json

@@ -5,9 +5,7 @@
       "Bash(python:*)",
       "Bash(grep:*)",
       "Bash(sed:*)",
-      "Bash(awk:*)",
-      "Bash(uv run mypy:*)",
-      "Bash(uv run:*)"
+      "Bash(awk:*)"
     ],
     "deny": []
   }

libs/langgraph/Makefile

@@ -37,11 +37,11 @@ coverage:
 		--cov-report xml \
 		--cov-report term-missing:skip-covered
 
-start-services:
-	docker compose -f tests/compose-postgres.yml -f tests/compose-redis.yml up -V --force-recreate --wait --remove-orphans
+start-postgres:
+	docker compose -f tests/compose-postgres.yml up -V --force-recreate --wait --remove-orphans
 
-stop-services:
-	docker compose -f tests/compose-postgres.yml -f tests/compose-redis.yml down -v
+stop-postgres:
+	docker compose -f tests/compose-postgres.yml down -v
 
 start-dev-server:
 	LOG_LEVEL=warning uv run langgraph dev --config tests/example_app/langgraph.json --no-browser & echo "$$!" > .devserver.pid
@@ -60,11 +60,11 @@ NO_DOCKER ?= $(sh command -v docker >/dev/null 2>&1 && echo "false" || echo "tru
 
 test:
 	if [ "$(NO_DOCKER)" = "false" ]; then \
-		make start-services &&\
+		make start-postgres &&\
 		make start-dev-server &&\
 		uv run pytest $(TEST); \
 		EXIT_CODE=$$?; \
-		make stop-services; \
+		make stop-postgres; \
 		make stop-dev-server; \
 		exit $$EXIT_CODE; \
 	else \
@@ -74,11 +74,11 @@ test:
 	fi
 
 test_parallel:
-	make start-services &&\
+	make start-postgres &&\
 	make start-dev-server &&\
 	uv run pytest -n auto --dist worksteal $(TEST); \
 	EXIT_CODE=$$?; \
-	make stop-services; \
+	make stop-postgres; \
 	make stop-dev-server; \
 	exit $$EXIT_CODE
 
@@ -93,11 +93,11 @@ MAXFAIL_ARGS := $(if $(MAXFAIL),--maxfail $(MAXFAIL),)
 XDIST_ARGS := $(if $(WORKERS),-x $(XDIST_ARGS),)
 
 test_watch:
-	make start-services &&\
+	make start-postgres &&\
 	make start-dev-server &&\
 	uv run ptw . -- --ff -vv $(XDIST_ARGS) $(MAXFAIL_ARGS) $(TEST); \
 	EXIT_CODE=$$?; \
-	make stop-services; \
+	make stop-postgres; \
 	make stop-dev-server; \
 	exit $$EXIT_CODE
 

libs/langgraph/langgraph/_internal/_runnable.py

@@ -4,7 +4,6 @@ import asyncio
 import enum
 import inspect
 import sys
-import warnings
 from collections.abc import (
     AsyncIterator,
     Awaitable,
@@ -304,16 +303,6 @@ class RunnableCallable(Runnable):
             if typ != (ANY_TYPE,) and p.annotation not in typ:
                 # A specific type is required, but the function annotation does
                 # not match the expected type.
-
-                # If this is a config parameter with incorrect typing, emit a warning
-                # because we used to support any type but are moving towards more correct typing
-                if kw == "config" and p.annotation != inspect.Parameter.empty:
-                    warnings.warn(
-                        f"The 'config' parameter should be typed as 'RunnableConfig' or "
-                        f"'RunnableConfig | None', not '{p.annotation}'. ",
-                        UserWarning,
-                        stacklevel=4,
-                    )
                 continue
 
             # If the kwarg is accepted by the function, store the key / runtime attribute to inject

libs/langgraph/langgraph/errors.py

@@ -91,7 +91,7 @@ class GraphInterrupt(GraphBubbleUp):
 
 @deprecated(
     "NodeInterrupt is deprecated. Please use `langgraph.types.interrupt` instead.",
-    category=None,
+    stacklevel=2,
 )
 class NodeInterrupt(GraphInterrupt):
     """Raised by a node to interrupt execution.

libs/langgraph/langgraph/graph/_branch.py

@@ -41,16 +41,16 @@ _Writer = Callable[
 
 
 def _get_branch_path_input_schema(
-    path: Callable[..., Hashable | Sequence[Hashable]]
-    | Callable[..., Awaitable[Hashable | Sequence[Hashable]]]
-    | Runnable[Any, Hashable | Sequence[Hashable]],
+    path: Callable[..., Hashable | list[Hashable]]
+    | Callable[..., Awaitable[Hashable | list[Hashable]]]
+    | Runnable[Any, Hashable | list[Hashable]],
 ) -> type[Any] | None:
     input = None
     # detect input schema annotation in the branch callable
     try:
         callable_: (
-            Callable[..., Hashable | Sequence[Hashable]]
-            | Callable[..., Awaitable[Hashable | Sequence[Hashable]]]
+            Callable[..., Hashable | list[Hashable]]
+            | Callable[..., Awaitable[Hashable | list[Hashable]]]
             | None
         ) = None
         if isinstance(path, (RunnableCallable, RunnableLambda)):

libs/langgraph/langgraph/graph/message.py

@@ -22,11 +22,10 @@ from langchain_core.messages import (
     convert_to_messages,
     message_chunk_to_message,
 )
-from typing_extensions import TypedDict, deprecated
+from typing_extensions import TypedDict
 
 from langgraph._internal._constants import CONF, CONFIG_KEY_SEND, NS_SEP
 from langgraph.graph.state import StateGraph
-from langgraph.warnings import LangGraphDeprecatedSinceV10
 
 __all__ = (
     "add_messages",
@@ -234,16 +233,9 @@ def add_messages(
     return merged
 
 
-@deprecated(
-    "MessageGraph is deprecated in LangGraph v1.0.0, to be removed in v2.0.0. Please use StateGraph with a `messages` key instead.",
-    category=None,
-)
 class MessageGraph(StateGraph):
     """A StateGraph where every node receives a list of messages as input and returns one or more messages as output.
 
-    !!! warning "Deprecation"
-        MessageGraph is deprecated in LangGraph v1.0.0, to be removed in v2.0.0. Please use StateGraph with a `messages` key instead.
-
     MessageGraph is a subclass of StateGraph whose entire state is a single, append-only* list of messages.
     Each node in a MessageGraph takes a list of messages as input and returns zero or more
     messages as output. The `add_messages` function is used to merge the output messages from each node
@@ -289,11 +281,6 @@ class MessageGraph(StateGraph):
     """
 
     def __init__(self) -> None:
-        warnings.warn(
-            "MessageGraph is deprecated in LangGraph v1.0.0, to be removed in v2.0.0. Please use StateGraph with a `messages` key instead.",
-            category=LangGraphDeprecatedSinceV10,
-            stacklevel=2,
-        )
         super().__init__(Annotated[list[AnyMessage], add_messages])  # type: ignore[arg-type]
 
 

libs/langgraph/langgraph/graph/state.py

@@ -128,6 +128,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
             Use this to expose immutable context data to your nodes, like user_id, db_conn, etc.
         input_schema: The schema class that defines the input to the graph.
         output_schema: The schema class that defines the output from the graph.
+        name: The default name to use when compiling the graph.
 
     !!! warning "`config_schema` Deprecated"
         The `config_schema` parameter is deprecated in v0.6.0 and support will be removed in v2.0.0.
@@ -177,7 +178,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
     managed: dict[str, ManagedValueSpec]
     schemas: dict[type[Any], dict[str, BaseChannel | ManagedValueSpec]]
     waiting_edges: set[tuple[tuple[str, ...], str]]
-
+    name: str = "LangGraph"
     compiled: bool
     state_schema: type[StateT]
     context_schema: type[ContextT] | None
@@ -607,9 +608,9 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
     def add_conditional_edges(
         self,
         source: str,
-        path: Callable[..., Hashable | Sequence[Hashable]]
-        | Callable[..., Awaitable[Hashable | Sequence[Hashable]]]
-        | Runnable[Any, Hashable | Sequence[Hashable]],
+        path: Callable[..., Hashable | list[Hashable]]
+        | Callable[..., Awaitable[Hashable | list[Hashable]]]
+        | Runnable[Any, Hashable | list[Hashable]],
         path_map: dict[Hashable, str] | list[str] | None = None,
     ) -> Self:
         """Add a conditional edge from the starting node to any number of destination nodes.
@@ -710,9 +711,9 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
 
     def set_conditional_entry_point(
         self,
-        path: Callable[..., Hashable | Sequence[Hashable]]
-        | Callable[..., Awaitable[Hashable | Sequence[Hashable]]]
-        | Runnable[Any, Hashable | Sequence[Hashable]],
+        path: Callable[..., Hashable | list[Hashable]]
+        | Callable[..., Awaitable[Hashable | list[Hashable]]]
+        | Runnable[Any, Hashable | list[Hashable]],
         path_map: dict[Hashable, str] | list[str] | None = None,
     ) -> Self:
         """Sets a conditional entry point in the graph.
@@ -874,7 +875,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
             debug=debug,
             store=store,
             cache=cache,
-            name=name or "LangGraph",
+            name=name or self.name,
         )
 
         compiled.attach_node(START, None)
@@ -1390,14 +1391,6 @@ def _is_field_managed_value(name: str, typ: type[Any]) -> ManagedValueSpec | Non
             if is_managed_value(decoration):
                 return decoration
 
-    # Handle Required, NotRequired, etc wrapped types by extracting the inner type
-    if (
-        get_origin(typ) is not None
-        and (args := get_args(typ))
-        and (inner_type := args[0])
-    ):
-        return _is_field_managed_value(name, inner_type)
-
     return None
 
 

libs/langgraph/langgraph/managed/base.py

@@ -8,7 +8,7 @@ from typing import (
 
 from typing_extensions import TypeGuard
 
-from langgraph._internal._scratchpad import PregelScratchpad
+from langgraph.pregel._scratchpad import PregelScratchpad
 
 V = TypeVar("V")
 U = TypeVar("U")

libs/langgraph/langgraph/managed/is_last_step.py

@@ -1,7 +1,7 @@
 from typing import Annotated
 
-from langgraph._internal._scratchpad import PregelScratchpad
 from langgraph.managed.base import ManagedValue
+from langgraph.pregel._scratchpad import PregelScratchpad
 
 __all__ = ("IsLastStep", "RemainingStepsManager")
 

libs/langgraph/langgraph/pregel/_algo.py

@@ -53,7 +53,6 @@ from langgraph._internal._constants import (
     RETURN,
     TASKS,
 )
-from langgraph._internal._scratchpad import PregelScratchpad
 from langgraph._internal._typing import EMPTY_SEQ, MISSING
 from langgraph.channels.base import BaseChannel
 from langgraph.channels.topic import Topic
@@ -70,6 +69,7 @@ from langgraph.pregel._call import get_runnable_for_task, identifier
 from langgraph.pregel._io import read_channels
 from langgraph.pregel._log import logger
 from langgraph.pregel._read import INPUT_CACHE_KEY_TYPE, PregelNode
+from langgraph.pregel._scratchpad import PregelScratchpad
 from langgraph.runtime import DEFAULT_RUNTIME, Runtime
 from langgraph.store.base import BaseStore
 from langgraph.types import (

libs/langgraph/langgraph/pregel/_checkpoint.py

@@ -29,7 +29,6 @@ def create_checkpoint(
     step: int,
     *,
     id: str | None = None,
-    updated_channels: set[str] | None = None,
 ) -> Checkpoint:
     """Create a checkpoint for the given channels."""
     ts = datetime.now(timezone.utc).isoformat()
@@ -50,7 +49,6 @@ def create_checkpoint(
         channel_values=values,
         channel_versions=checkpoint["channel_versions"],
         versions_seen=checkpoint["versions_seen"],
-        updated_channels=None if updated_channels is None else sorted(updated_channels),
     )
 
 
@@ -83,5 +81,4 @@ def copy_checkpoint(checkpoint: Checkpoint) -> Checkpoint:
         channel_values=checkpoint["channel_values"].copy(),
         channel_versions=checkpoint["channel_versions"].copy(),
         versions_seen={k: v.copy() for k, v in checkpoint["versions_seen"].items()},
-        updated_channels=checkpoint.get("updated_channels", None),
     )

libs/langgraph/langgraph/pregel/_loop.py

@@ -48,7 +48,6 @@ from langgraph._internal._constants import (
     PUSH,
     RESUME,
 )
-from langgraph._internal._scratchpad import PregelScratchpad
 from langgraph._internal._typing import EMPTY_SEQ, MISSING
 from langgraph.cache.base import BaseCache
 from langgraph.channels.base import BaseChannel
@@ -101,6 +100,7 @@ from langgraph.pregel._io import (
     read_channels,
 )
 from langgraph.pregel._read import PregelNode
+from langgraph.pregel._scratchpad import PregelScratchpad
 from langgraph.pregel._utils import get_new_channel_versions, is_xxh3_128_hexdigest
 from langgraph.pregel.debug import (
     map_debug_checkpoint,
@@ -568,9 +568,7 @@ class PregelLoop:
             if task := tasks.get(tid):
                 task.writes.append((k, v))
 
-    def _first(
-        self, *, input_keys: str | Sequence[str], updated_channels: set[str] | None
-    ) -> set[str] | None:
+    def _first(self, *, input_keys: str | Sequence[str]) -> set[str] | None:
         # resuming from previous checkpoint requires
         # - finding a previous checkpoint
         # - receiving None input (outer graph) or RESUMING flag (subgraph)
@@ -587,6 +585,8 @@ class PregelLoop:
                 ),
             )
         )
+        # this can be set only when there are input_writes
+        updated_channels: set[str] | None = None
 
         # map command to writes
         if isinstance(self.input, Command):
@@ -614,15 +614,13 @@ class PregelLoop:
         if null_writes := [
             w[1:] for w in self.checkpoint_pending_writes if w[0] == NULL_TASK_ID
         ]:
-            null_updated_channels = apply_writes(
+            apply_writes(
                 self.checkpoint,
                 self.channels,
                 [PregelTaskWrites((), INPUT, null_writes, [])],
                 self.checkpointer_get_next_version,
                 self.trigger_to_nodes,
             )
-            if updated_channels is not None:
-                updated_channels.update(null_updated_channels)
         # proceed past previous checkpoint
         if is_resuming:
             self.checkpoint["versions_seen"].setdefault(INTERRUPT, {})
@@ -650,7 +648,6 @@ class PregelLoop:
                 store=None,
                 checkpointer=None,
                 manager=None,
-                updated_channels=updated_channels,
             )
             # apply input writes
             updated_channels = apply_writes(
@@ -664,7 +661,6 @@ class PregelLoop:
                 self.trigger_to_nodes,
             )
             # 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}")
@@ -697,7 +693,6 @@ class PregelLoop:
             self.channels if do_checkpoint else None,
             self.step,
             id=self.checkpoint["id"] if exiting else None,
-            updated_channels=self.updated_channels,
         )
         # bail if no checkpointer
         if do_checkpoint and self._checkpointer_put_after_previous is not None:
@@ -1041,12 +1036,7 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
         self.step = self.checkpoint_metadata["step"] + 1
         self.stop = self.step + self.config["recursion_limit"] + 1
         self.checkpoint_previous_versions = self.checkpoint["channel_versions"].copy()
-        self.updated_channels = self._first(
-            input_keys=self.input_keys,
-            updated_channels=set(self.checkpoint.get("updated_channels"))  # type: ignore[arg-type]
-            if self.checkpoint.get("updated_channels")
-            else None,
-        )
+        self.updated_channels = self._first(input_keys=self.input_keys)
 
         return self
 
@@ -1222,12 +1212,7 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
         self.step = self.checkpoint_metadata["step"] + 1
         self.stop = self.step + self.config["recursion_limit"] + 1
         self.checkpoint_previous_versions = self.checkpoint["channel_versions"].copy()
-        self.updated_channels = self._first(
-            input_keys=self.input_keys,
-            updated_channels=set(self.checkpoint.get("updated_channels"))  # type: ignore[arg-type]
-            if self.checkpoint.get("updated_channels")
-            else None,
-        )
+        self.updated_channels = self._first(input_keys=self.input_keys)
 
         return self
 

libs/langgraph/langgraph/pregel/_messages.py

@@ -29,51 +29,16 @@ Meta = tuple[tuple[str, ...], dict[str, Any]]
 
 class StreamMessagesHandler(BaseCallbackHandler, _StreamingCallbackHandler):
     """A callback handler that implements stream_mode=messages.
-
-    Collects messages from:
-    (1) chat model stream events; and
-    (2) node outputs.
-    """
+    Collects messages from (1) chat model stream events and (2) node outputs."""
 
     run_inline = True
-    """We want this callback to run in the main thread to avoid order/locking issues."""
+    """We want this callback to run in the main thread, to avoid order/locking issues."""
 
-    def __init__(
-        self,
-        stream: Callable[[StreamChunk], None],
-        subgraphs: bool,
-        *,
-        parent_ns: tuple[str, ...] | None = None,
-    ) -> None:
-        """Configure the handler to stream messages from LLMs and nodes.
-
-        Args:
-            stream: A callable that takes a StreamChunk and emits it.
-            subgraphs: Whether to emit messages from subgraphs.
-            parent_ns: The namespace where the handler was created.
-                We keep track of this namespace to allow calls to subgraphs that
-                were explicitly requested as a stream with `messages` mode
-                configured.
-
-        Example:
-            parent_ns is used to handle scenarios where the subgraph is explicitly
-            streamed with `stream_mode="messages"`.
-
-            ```python
-            def parent_graph_node():
-                # This node is in the parent graph.
-                async for event in some_subgraph(..., stream_mode="messages"):
-                    do something with event # <-- these events will be emitted
-                return ...
-
-            parent_graph.invoke(subgraphs=False)
-            ```
-        """
+    def __init__(self, stream: Callable[[StreamChunk], None], subgraphs: bool):
         self.stream = stream
         self.subgraphs = subgraphs
         self.metadata: dict[UUID, Meta] = {}
         self.seen: set[int | str] = set()
-        self.parent_ns = parent_ns
 
     def _emit(self, meta: Meta, message: BaseMessage, *, dedupe: bool = False) -> None:
         if dedupe and message.id in self.seen:
@@ -135,7 +100,7 @@ class StreamMessagesHandler(BaseCallbackHandler, _StreamingCallbackHandler):
             ns = tuple(cast(str, metadata["langgraph_checkpoint_ns"]).split(NS_SEP))[
                 :-1
             ]
-            if not self.subgraphs and len(ns) > 0 and ns != self.parent_ns:
+            if not self.subgraphs and len(ns) > 0:
                 return
             if tags:
                 if filtered_tags := [t for t in tags if not t.startswith("seq:step")]:

libs/langgraph/langgraph/pregel/_runner.py

@@ -30,13 +30,13 @@ from langgraph._internal._constants import (
     RETURN,
 )
 from langgraph._internal._future import chain_future, run_coroutine_threadsafe
-from langgraph._internal._scratchpad import PregelScratchpad
 from langgraph._internal._typing import MISSING
 from langgraph.constants import TAG_HIDDEN
 from langgraph.errors import GraphBubbleUp, GraphInterrupt
 from langgraph.pregel._algo import Call
 from langgraph.pregel._executor import Submit
 from langgraph.pregel._retry import arun_with_retry, run_with_retry
+from langgraph.pregel._scratchpad import PregelScratchpad
 from langgraph.types import (
     CachePolicy,
     PregelExecutableTask,

libs/langgraph/langgraph/pregel/main.py

@@ -637,7 +637,8 @@ class Pregel(
         **deprecated_kwargs: Unpack[DeprecatedKwargs],
     ) -> None:
         if (
-            config_type := deprecated_kwargs.get("config_type", MISSING)
+            config_type := deprecated_kwargs.get("config_type"),
+            MISSING,
         ) is not MISSING:
             warnings.warn(
                 "`config_type` is deprecated and will be removed. Please use `context_schema` instead.",
@@ -784,8 +785,7 @@ class Pregel(
         return self
 
     @deprecated(
-        "`config_schema` is deprecated. Use `get_context_jsonschema` for the relevant schema instead.",
-        category=None,
+        "`config_schema` is deprecated. Use `get_context_jsonschema` for the relevant schema instead."
     )
     def config_schema(self, *, include: Sequence[str] | None = None) -> type[BaseModel]:
         warnings.warn(
@@ -810,8 +810,7 @@ class Pregel(
         return create_model(self.get_name("Config"), field_definitions=fields)
 
     @deprecated(
-        "`get_config_jsonschema` is deprecated. Use `get_context_jsonschema` instead.",
-        category=None,
+        "`get_config_jsonschema` is deprecated. Use `get_context_jsonschema` instead."
     )
     def get_config_jsonschema(
         self, *, include: Sequence[str] | None = None
@@ -2352,6 +2351,7 @@ class Pregel(
         interrupt_before: All | Sequence[str] | None,
         interrupt_after: All | Sequence[str] | None,
         durability: Durability | None = None,
+        checkpoint_during: bool | None = None,
     ) -> tuple[
         set[StreamMode],
         str | Sequence[str],
@@ -2399,6 +2399,15 @@ class Pregel(
             cache: BaseCache | None = config[CONF][CONFIG_KEY_CACHE]
         else:
             cache = self.cache
+        if checkpoint_during is not None:
+            if durability is not None:
+                raise ValueError(
+                    "Cannot use both `checkpoint_during` and `durability` parameters."
+                )
+            elif checkpoint_during:
+                durability = "async"
+            else:
+                durability = "exit"
         if durability is None:
             durability = config.get(CONF, {}).get(CONFIG_KEY_DURABILITY, "async")
         return (
@@ -2471,17 +2480,6 @@ class Pregel(
         Yields:
             The output of each step in the graph. The output shape depends on the stream_mode.
         """
-        if (checkpoint_during := kwargs.get("checkpoint_during")) is not None:
-            warnings.warn(
-                "`checkpoint_during` is deprecated and will be removed. Please use `durability` instead.",
-                category=LangGraphDeprecatedSinceV10,
-                stacklevel=2,
-            )
-            if durability is not None:
-                raise ValueError(
-                    "Cannot use both `checkpoint_during` and `durability` parameters. Please use `durability` instead."
-                )
-            durability = "async" if checkpoint_during else "exit"
 
         if stream_mode is None:
             # if being called as a node in another graph, default to values mode
@@ -2505,6 +2503,14 @@ class Pregel(
             run_id=config.get("run_id"),
         )
         try:
+            deprecated_checkpoint_during = cast(
+                Optional[bool], kwargs.get("checkpoint_during")
+            )
+            if deprecated_checkpoint_during is not None:
+                warnings.warn(
+                    "`checkpoint_during` is deprecated and will be removed. Please use `durability` instead.",
+                    category=LangGraphDeprecatedSinceV10,
+                )
             # assign defaults
             (
                 stream_modes,
@@ -2523,8 +2529,11 @@ class Pregel(
                 interrupt_before=interrupt_before,
                 interrupt_after=interrupt_after,
                 durability=durability,
+                checkpoint_during=deprecated_checkpoint_during,
             )
-            if checkpointer is None and durability is not None:
+            if checkpointer is None and (
+                durability is not None or deprecated_checkpoint_during is not None
+            ):
                 warnings.warn(
                     "`durability` has no effect when no checkpointer is present.",
                 )
@@ -2534,13 +2543,8 @@ class Pregel(
                 config[CONF][CONFIG_KEY_CHECKPOINT_NS] = recast_checkpoint_ns(ns)
             # set up messages stream mode
             if "messages" in stream_modes:
-                ns_ = cast(Optional[str], config[CONF].get(CONFIG_KEY_CHECKPOINT_NS))
                 run_manager.inheritable_handlers.append(
-                    StreamMessagesHandler(
-                        stream.put,
-                        subgraphs,
-                        parent_ns=tuple(ns_.split(NS_SEP)) if ns_ else None,
-                    )
+                    StreamMessagesHandler(stream.put, subgraphs)
                 )
 
             # set up custom stream mode
@@ -2566,7 +2570,7 @@ class Pregel(
                     pass
 
             # set durability mode for subgraphs
-            if durability is not None:
+            if durability is not None or deprecated_checkpoint_during is not None:
                 config[CONF][CONFIG_KEY_DURABILITY] = durability_
 
             runtime = Runtime(
@@ -2737,17 +2741,6 @@ class Pregel(
         Yields:
             The output of each step in the graph. The output shape depends on the stream_mode.
         """
-        if (checkpoint_during := kwargs.get("checkpoint_during")) is not None:
-            warnings.warn(
-                "`checkpoint_during` is deprecated and will be removed. Please use `durability` instead.",
-                category=LangGraphDeprecatedSinceV10,
-                stacklevel=2,
-            )
-            if durability is not None:
-                raise ValueError(
-                    "Cannot use both `checkpoint_during` and `durability` parameters. Please use `durability` instead."
-                )
-            durability = "async" if checkpoint_during else "exit"
 
         if stream_mode is None:
             # if being called as a node in another graph, default to values mode
@@ -2790,6 +2783,14 @@ class Pregel(
             else False
         )
         try:
+            deprecated_checkpoint_during = cast(
+                Optional[bool], kwargs.get("checkpoint_during")
+            )
+            if deprecated_checkpoint_during is not None:
+                warnings.warn(
+                    "`checkpoint_during` is deprecated and will be removed. Please use `durability` instead.",
+                    category=LangGraphDeprecatedSinceV10,
+                )
             # assign defaults
             (
                 stream_modes,
@@ -2808,8 +2809,11 @@ class Pregel(
                 interrupt_before=interrupt_before,
                 interrupt_after=interrupt_after,
                 durability=durability,
+                checkpoint_during=deprecated_checkpoint_during,
             )
-            if checkpointer is None and durability is not None:
+            if checkpointer is None and (
+                durability is not None or deprecated_checkpoint_during is not None
+            ):
                 warnings.warn(
                     "`durability` has no effect when no checkpointer is present.",
                 )
@@ -2819,14 +2823,8 @@ class Pregel(
                 config[CONF][CONFIG_KEY_CHECKPOINT_NS] = recast_checkpoint_ns(ns)
             # set up messages stream mode
             if "messages" in stream_modes:
-                # namespace can be None in a root level graph?
-                ns_ = cast(Optional[str], config[CONF].get(CONFIG_KEY_CHECKPOINT_NS))
                 run_manager.inheritable_handlers.append(
-                    StreamMessagesHandler(
-                        stream_put,
-                        subgraphs,
-                        parent_ns=tuple(ns_.split(NS_SEP)) if ns_ else None,
-                    )
+                    StreamMessagesHandler(stream_put, subgraphs)
                 )
 
             # set up custom stream mode
@@ -2867,7 +2865,7 @@ class Pregel(
                     pass
 
             # set durability mode for subgraphs
-            if durability is not None:
+            if durability is not None or deprecated_checkpoint_during is not None:
                 config[CONF][CONFIG_KEY_DURABILITY] = durability_
 
             runtime = Runtime(
@@ -2992,7 +2990,6 @@ class Pregel(
         output_keys: str | Sequence[str] | None = None,
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
-        durability: Durability | None = None,
         **kwargs: Any,
     ) -> dict[str, Any] | Any:
         """Run the graph with a single input and config.
@@ -3007,10 +3004,6 @@ class Pregel(
             output_keys: Optional. The output keys to retrieve from the graph run.
             interrupt_before: Optional. The nodes to interrupt the graph run before.
             interrupt_after: Optional. The nodes to interrupt the graph run after.
-            durability: The durability mode for the graph execution, defaults to "async". Options are:
-                - `"sync"`: Changes are persisted synchronously before the next step starts.
-                - `"async"`: Changes are persisted asynchronously while the next step executes.
-                - `"exit"`: Changes are persisted only when the graph exits.
             **kwargs: Additional keyword arguments to pass to the graph run.
 
         Returns:
@@ -3034,7 +3027,6 @@ class Pregel(
             output_keys=output_keys,
             interrupt_before=interrupt_before,
             interrupt_after=interrupt_after,
-            durability=durability,
             **kwargs,
         ):
             if stream_mode == "values":
@@ -3077,7 +3069,6 @@ class Pregel(
         output_keys: str | Sequence[str] | None = None,
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
-        durability: Durability | None = None,
         **kwargs: Any,
     ) -> dict[str, Any] | Any:
         """Asynchronously invoke the graph on a single input.
@@ -3092,10 +3083,6 @@ class Pregel(
             output_keys: Optional. The output keys to include in the result. Default is None.
             interrupt_before: Optional. The nodes to interrupt before. Default is None.
             interrupt_after: Optional. The nodes to interrupt after. Default is None.
-            durability: The durability mode for the graph execution, defaults to "async". Options are:
-                - `"sync"`: Changes are persisted synchronously before the next step starts.
-                - `"async"`: Changes are persisted asynchronously while the next step executes.
-                - `"exit"`: Changes are persisted only when the graph exits.
             **kwargs: Additional keyword arguments.
 
         Returns:
@@ -3120,7 +3107,6 @@ class Pregel(
             output_keys=output_keys,
             interrupt_before=interrupt_before,
             interrupt_after=interrupt_after,
-            durability=durability,
             **kwargs,
         ):
             if stream_mode == "values":

libs/langgraph/langgraph/pregel/remote.py

@@ -25,17 +25,9 @@ from langgraph_sdk.client import (
     get_client,
     get_sync_client,
 )
-from langgraph_sdk.schema import (
-    Checkpoint,
-    QueryParamTypes,
-    ThreadState,
-)
-from langgraph_sdk.schema import (
-    Command as CommandSDK,
-)
-from langgraph_sdk.schema import (
-    StreamMode as StreamModeSDK,
-)
+from langgraph_sdk.schema import Checkpoint, ThreadState
+from langgraph_sdk.schema import Command as CommandSDK
+from langgraph_sdk.schema import StreamMode as StreamModeSDK
 from typing_extensions import Self
 
 from langgraph._internal._config import merge_configs
@@ -216,8 +208,6 @@ class RemoteGraph(PregelProtocol):
         config: RunnableConfig | None = None,
         *,
         xray: int | bool = False,
-        headers: dict[str, str] | None = None,
-        params: QueryParamTypes | None = None,
     ) -> DrawableGraph:
         """Get graph by graph name.
 
@@ -236,8 +226,6 @@ class RemoteGraph(PregelProtocol):
         graph = sync_client.assistants.get_graph(
             assistant_id=self.assistant_id,
             xray=xray,
-            headers=headers,
-            params=params,
         )
         return DrawableGraph(
             nodes=self._get_drawable_nodes(graph),
@@ -249,8 +237,6 @@ class RemoteGraph(PregelProtocol):
         config: RunnableConfig | None = None,
         *,
         xray: int | bool = False,
-        headers: dict[str, str] | None = None,
-        params: QueryParamTypes | None = None,
     ) -> DrawableGraph:
         """Get graph by graph name.
 
@@ -269,8 +255,6 @@ class RemoteGraph(PregelProtocol):
         graph = await client.assistants.get_graph(
             assistant_id=self.assistant_id,
             xray=xray,
-            headers=headers,
-            params=params,
         )
         return DrawableGraph(
             nodes=self._get_drawable_nodes(graph),
@@ -392,12 +376,7 @@ class RemoteGraph(PregelProtocol):
         return sanitized
 
     def get_state(
-        self,
-        config: RunnableConfig,
-        *,
-        subgraphs: bool = False,
-        headers: dict[str, str] | None = None,
-        params: QueryParamTypes | None = None,
+        self, config: RunnableConfig, *, subgraphs: bool = False
     ) -> StateSnapshot:
         """Get the state of a thread.
 
@@ -409,8 +388,6 @@ class RemoteGraph(PregelProtocol):
             config: A `RunnableConfig` that includes `thread_id` in the
                 `configurable` field.
             subgraphs: Include subgraphs in the state.
-            headers: Optional custom headers to include with the request.
-            params: Optional query parameters to include with the request.
 
         Returns:
             The latest state of the thread.
@@ -422,18 +399,11 @@ class RemoteGraph(PregelProtocol):
             thread_id=merged_config["configurable"]["thread_id"],
             checkpoint=self._get_checkpoint(merged_config),
             subgraphs=subgraphs,
-            headers=headers,
-            params=params,
         )
         return self._create_state_snapshot(state)
 
     async def aget_state(
-        self,
-        config: RunnableConfig,
-        *,
-        subgraphs: bool = False,
-        headers: dict[str, str] | None = None,
-        params: QueryParamTypes | None = None,
+        self, config: RunnableConfig, *, subgraphs: bool = False
     ) -> StateSnapshot:
         """Get the state of a thread.
 
@@ -445,8 +415,6 @@ class RemoteGraph(PregelProtocol):
             config: A `RunnableConfig` that includes `thread_id` in the
                 `configurable` field.
             subgraphs: Include subgraphs in the state.
-            headers: Optional custom headers to include with the request.
-            params: Optional query parameters to include with the request.
 
         Returns:
             The latest state of the thread.
@@ -458,8 +426,6 @@ class RemoteGraph(PregelProtocol):
             thread_id=merged_config["configurable"]["thread_id"],
             checkpoint=self._get_checkpoint(merged_config),
             subgraphs=subgraphs,
-            headers=headers,
-            params=params,
         )
         return self._create_state_snapshot(state)
 
@@ -470,8 +436,6 @@ class RemoteGraph(PregelProtocol):
         filter: dict[str, Any] | None = None,
         before: RunnableConfig | None = None,
         limit: int | None = None,
-        headers: dict[str, str] | None = None,
-        params: QueryParamTypes | None = None,
     ) -> Iterator[StateSnapshot]:
         """Get the state history of a thread.
 
@@ -496,8 +460,6 @@ class RemoteGraph(PregelProtocol):
             before=self._get_checkpoint(before),
             metadata=filter,
             checkpoint=self._get_checkpoint(merged_config),
-            headers=headers,
-            params=params,
         )
         for state in states:
             yield self._create_state_snapshot(state)
@@ -509,8 +471,6 @@ class RemoteGraph(PregelProtocol):
         filter: dict[str, Any] | None = None,
         before: RunnableConfig | None = None,
         limit: int | None = None,
-        headers: dict[str, str] | None = None,
-        params: QueryParamTypes | None = None,
     ) -> AsyncIterator[StateSnapshot]:
         """Get the state history of a thread.
 
@@ -522,8 +482,6 @@ class RemoteGraph(PregelProtocol):
             filter: Metadata to filter on.
             before: A `RunnableConfig` that includes checkpoint metadata.
             limit: Max number of states to return.
-            headers: Optional custom headers to include with the request.
-            params: Optional query parameters to include with the request.
 
         Returns:
             States of the thread.
@@ -537,8 +495,6 @@ class RemoteGraph(PregelProtocol):
             before=self._get_checkpoint(before),
             metadata=filter,
             checkpoint=self._get_checkpoint(merged_config),
-            headers=headers,
-            params=params,
         )
         for state in states:
             yield self._create_state_snapshot(state)
@@ -562,9 +518,6 @@ class RemoteGraph(PregelProtocol):
         config: RunnableConfig,
         values: dict[str, Any] | Any | None,
         as_node: str | None = None,
-        *,
-        headers: dict[str, str] | None = None,
-        params: QueryParamTypes | None = None,
     ) -> RunnableConfig:
         """Update the state of a thread.
 
@@ -587,8 +540,6 @@ class RemoteGraph(PregelProtocol):
             values=values,
             as_node=as_node,
             checkpoint=self._get_checkpoint(merged_config),
-            headers=headers,
-            params=params,
         )
         return self._get_config(response["checkpoint"])
 
@@ -597,9 +548,6 @@ class RemoteGraph(PregelProtocol):
         config: RunnableConfig,
         values: dict[str, Any] | Any | None,
         as_node: str | None = None,
-        *,
-        headers: dict[str, str] | None = None,
-        params: QueryParamTypes | None = None,
     ) -> RunnableConfig:
         """Update the state of a thread.
 
@@ -622,8 +570,6 @@ class RemoteGraph(PregelProtocol):
             values=values,
             as_node=as_node,
             checkpoint=self._get_checkpoint(merged_config),
-            headers=headers,
-            params=params,
         )
         return self._get_config(response["checkpoint"])
 
@@ -688,7 +634,6 @@ class RemoteGraph(PregelProtocol):
         interrupt_after: All | Sequence[str] | None = None,
         subgraphs: bool = False,
         headers: dict[str, str] | None = None,
-        params: QueryParamTypes | None = None,
         **kwargs: Any,
     ) -> Iterator[dict[str, Any] | Any]:
         """Create a run and stream the results.
@@ -733,10 +678,9 @@ class RemoteGraph(PregelProtocol):
             interrupt_after=interrupt_after,
             stream_subgraphs=subgraphs or stream is not None,
             if_not_exists="create",
-            headers=(
-                _merge_tracing_headers(headers) if self.distributed_tracing else headers
-            ),
-            params=params,
+            headers=_merge_tracing_headers(headers)
+            if self.distributed_tracing
+            else headers,
             **kwargs,
         ):
             # split mode and ns
@@ -797,7 +741,6 @@ class RemoteGraph(PregelProtocol):
         interrupt_after: All | Sequence[str] | None = None,
         subgraphs: bool = False,
         headers: dict[str, str] | None = None,
-        params: QueryParamTypes | None = None,
         **kwargs: Any,
     ) -> AsyncIterator[dict[str, Any] | Any]:
         """Create a run and stream the results.
@@ -842,10 +785,9 @@ class RemoteGraph(PregelProtocol):
             interrupt_after=interrupt_after,
             stream_subgraphs=subgraphs or stream is not None,
             if_not_exists="create",
-            headers=(
-                _merge_tracing_headers(headers) if self.distributed_tracing else headers
-            ),
-            params=params,
+            headers=_merge_tracing_headers(headers)
+            if self.distributed_tracing
+            else headers,
             **kwargs,
         ):
             # split mode and ns
@@ -920,7 +862,6 @@ class RemoteGraph(PregelProtocol):
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
         headers: dict[str, str] | None = None,
-        params: QueryParamTypes | None = None,
         **kwargs: Any,
     ) -> dict[str, Any] | Any:
         """Create a run, wait until it finishes and return the final state.
@@ -943,7 +884,6 @@ class RemoteGraph(PregelProtocol):
             interrupt_after=interrupt_after,
             headers=headers,
             stream_mode="values",
-            params=params,
             **kwargs,
         ):
             pass
@@ -960,7 +900,6 @@ class RemoteGraph(PregelProtocol):
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
         headers: dict[str, str] | None = None,
-        params: QueryParamTypes | None = None,
         **kwargs: Any,
     ) -> dict[str, Any] | Any:
         """Create a run, wait until it finishes and return the final state.
@@ -983,7 +922,6 @@ class RemoteGraph(PregelProtocol):
             interrupt_after=interrupt_after,
             headers=headers,
             stream_mode="values",
-            params=params,
             **kwargs,
         ):
             pass
@@ -996,11 +934,11 @@ class RemoteGraph(PregelProtocol):
 def _merge_tracing_headers(headers: dict[str, str] | None) -> dict[str, str] | None:
     if rt := ls.get_current_run_tree():
         tracing_headers = rt.to_headers()
+        baggage = tracing_headers.pop("baggage")
         if headers:
             if "baggage" in headers:
-                tracing_headers["baggage"] = (
-                    f"{headers['baggage']},{tracing_headers['baggage']}"
-                )
+                baggage = headers["baggage"] + "," + baggage
+            tracing_headers["baggage"] = baggage
             headers.update(tracing_headers)
         else:
             headers = tracing_headers

libs/langgraph/langgraph/types.py

@@ -191,7 +191,10 @@ class Interrupt:
         return cls(value=value, id=xxh3_128_hexdigest(ns.encode()))
 
     @property
-    @deprecated("`interrupt_id` is deprecated. Use `id` instead.", category=None)
+    @deprecated(
+        "`interrupt_id` is deprecated. Use `id` instead.",
+        stacklevel=2,
+    )
     def interrupt_id(self) -> str:
         warn(
             "`interrupt_id` is deprecated. Use `id` instead.",
@@ -507,7 +510,6 @@ def interrupt(value: Any) -> Any:
     # find previous resume values
     if scratchpad.resume:
         if idx < len(scratchpad.resume):
-            conf[CONFIG_KEY_SEND]([(RESUME, scratchpad.resume)])
             return scratchpad.resume[idx]
     # find current resume value
     v = scratchpad.get_null_resume(True)

libs/langgraph/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph"
-version = "0.6.6"
+version = "0.6.2"
 description = "Building stateful, multi-actor applications with LLMs"
 authors = []
 requires-python = ">=3.9"
@@ -14,7 +14,7 @@ license-files = ['LICENSE']
 dependencies = [
     "langchain-core>=0.1",
     "langgraph-checkpoint>=2.1.0,<3.0.0",
-    "langgraph-sdk>=0.2.2,<0.3.0",
+    "langgraph-sdk>=0.2.0,<0.3.0",
     "langgraph-prebuilt>=0.6.0,<0.7.0",
     "xxhash>=3.5.0",
     "pydantic>=2.7.4",
@@ -49,7 +49,6 @@ dev = [
     "types-requests",
     "pycryptodome",
     "langgraph-cli[inmem]",
-    "redis",
 ]
 
 [tool.uv]

libs/langgraph/tests/__snapshots__/test_large_cases.ambr

@@ -175,10 +175,10 @@
   '''
 # ---
 # name: test_prebuilt_tool_chat
-  '{"$defs": {"BaseMessage": {"additionalProperties": true, "description": "Base abstract message class.\\n\\nMessages are the inputs and outputs of ChatModels.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content", "type"], "title": "BaseMessage", "type": "object"}}, "description": "The state of the agent.", "properties": {"messages": {"items": {"$ref": "#/$defs/BaseMessage"}, "title": "Messages", "type": "array"}, "remaining_steps": {"title": "Remaining Steps", "type": "integer"}}, "required": ["messages"], "title": "AgentState", "type": "object"}'
+  '{"$defs": {"BaseMessage": {"additionalProperties": true, "description": "Base abstract message class.\\n\\nMessages are the inputs and outputs of ChatModels.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content", "type"], "title": "BaseMessage", "type": "object"}}, "description": "The state of the agent.", "properties": {"messages": {"items": {"$ref": "#/$defs/BaseMessage"}, "title": "Messages", "type": "array"}, "is_last_step": {"title": "Is Last Step", "type": "boolean"}, "remaining_steps": {"title": "Remaining Steps", "type": "integer"}}, "required": ["messages", "is_last_step", "remaining_steps"], "title": "AgentState", "type": "object"}'
 # ---
 # name: test_prebuilt_tool_chat.1
-  '{"$defs": {"BaseMessage": {"additionalProperties": true, "description": "Base abstract message class.\\n\\nMessages are the inputs and outputs of ChatModels.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content", "type"], "title": "BaseMessage", "type": "object"}}, "description": "The state of the agent.", "properties": {"messages": {"items": {"$ref": "#/$defs/BaseMessage"}, "title": "Messages", "type": "array"}, "remaining_steps": {"title": "Remaining Steps", "type": "integer"}}, "required": ["messages"], "title": "AgentState", "type": "object"}'
+  '{"$defs": {"BaseMessage": {"additionalProperties": true, "description": "Base abstract message class.\\n\\nMessages are the inputs and outputs of ChatModels.", "properties": {"content": {"anyOf": [{"type": "string"}, {"items": {"anyOf": [{"type": "string"}, {"additionalProperties": true, "type": "object"}]}, "type": "array"}], "title": "Content"}, "additional_kwargs": {"additionalProperties": true, "title": "Additional Kwargs", "type": "object"}, "response_metadata": {"additionalProperties": true, "title": "Response Metadata", "type": "object"}, "type": {"title": "Type", "type": "string"}, "name": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Name"}, "id": {"anyOf": [{"type": "string"}, {"type": "null"}], "default": null, "title": "Id"}}, "required": ["content", "type"], "title": "BaseMessage", "type": "object"}}, "description": "The state of the agent.", "properties": {"messages": {"items": {"$ref": "#/$defs/BaseMessage"}, "title": "Messages", "type": "array"}, "is_last_step": {"title": "Is Last Step", "type": "boolean"}, "remaining_steps": {"title": "Remaining Steps", "type": "integer"}}, "required": ["messages", "is_last_step", "remaining_steps"], "title": "AgentState", "type": "object"}'
 # ---
 # name: test_prebuilt_tool_chat.2
   '''

libs/langgraph/tests/compose-redis.yml

@@ -1,16 +0,0 @@
-name: langgraph-tests
-services:
-  redis-test:
-    image: redis:7-alpine
-    ports:
-      - "6379:6379"
-    command: redis-server --maxmemory 256mb --maxmemory-policy allkeys-lru
-    healthcheck:
-      test: redis-cli ping
-      start_period: 10s
-      timeout: 1s
-      retries: 5
-      interval: 5s
-      start_interval: 1s
-    tmpfs:
-      - /data  # Use tmpfs for faster testing

libs/langgraph/tests/conftest.py

@@ -3,12 +3,10 @@ from collections.abc import AsyncIterator, Iterator
 from uuid import UUID
 
 import pytest
-import redis
 from pytest_mock import MockerFixture
 
 from langgraph.cache.base import BaseCache
 from langgraph.cache.memory import InMemoryCache
-from langgraph.cache.redis import RedisCache
 from langgraph.cache.sqlite import SqliteCache
 from langgraph.checkpoint.base import BaseCheckpointSaver
 from langgraph.store.base import BaseStore
@@ -57,34 +55,12 @@ def durability(request: pytest.FixtureRequest) -> Durability:
     return request.param
 
 
-@pytest.fixture(
-    scope="function",
-    params=["sqlite", "memory"] if NO_DOCKER else ["sqlite", "memory", "redis"],
-)
+@pytest.fixture(scope="function", params=["sqlite", "memory"])
 def cache(request: pytest.FixtureRequest) -> Iterator[BaseCache]:
     if request.param == "sqlite":
         yield SqliteCache(path=":memory:")
     elif request.param == "memory":
         yield InMemoryCache()
-    elif request.param == "redis":
-        # Get worker ID for parallel test isolation
-        worker_id = getattr(request.config, "workerinput", {}).get("workerid", "master")
-
-        redis_client = redis.Redis(
-            host="localhost", port=6379, db=0, decode_responses=False
-        )
-        # Use worker-specific prefix to avoid cache pollution between parallel tests
-        cache = RedisCache(redis_client, prefix=f"test:cache:{worker_id}:")
-        yield cache
-
-        try:
-            # Only clear keys with our specific prefix
-            pattern = f"test:cache:{worker_id}:*"
-            keys = redis_client.keys(pattern)
-            if keys:
-                redis_client.delete(*keys)
-        except Exception:
-            pass
     else:
         raise ValueError(f"Unknown cache type: {request.param}")
 

libs/langgraph/tests/test_checkpoint_migration.py

@@ -330,7 +330,6 @@ SAVED_CHECKPOINTS = {
                     "docs": ["doc1", "doc2", "doc3", "doc4"],
                     "answer": "doc1,doc2,doc3,doc4",
                 },
-                "updated_channels": None,
             },
             metadata={
                 "source": "loop",
@@ -391,7 +390,6 @@ SAVED_CHECKPOINTS = {
                     "docs": ["doc1", "doc2", "doc3", "doc4"],
                     "branch:to:qa": None,
                 },
-                "updated_channels": None,
             },
             metadata={
                 "source": "loop",
@@ -467,7 +465,6 @@ SAVED_CHECKPOINTS = {
                     "branch:to:retriever_one": None,
                     "docs": ["doc3", "doc4"],
                 },
-                "updated_channels": None,
             },
             metadata={
                 "source": "loop",
@@ -519,7 +516,6 @@ SAVED_CHECKPOINTS = {
                     "branch:to:analyzer_one": None,
                     "branch:to:retriever_two": None,
                 },
-                "updated_channels": None,
             },
             metadata={
                 "source": "loop",
@@ -574,7 +570,6 @@ SAVED_CHECKPOINTS = {
                     "query": "what is weather in sf",
                     "branch:to:rewrite_query": None,
                 },
-                "updated_channels": None,
             },
             metadata={
                 "source": "loop",
@@ -623,7 +618,6 @@ SAVED_CHECKPOINTS = {
                 },
                 "versions_seen": {"__input__": {}},
                 "channel_values": {"__start__": {"query": "what is weather in sf"}},
-                "updated_channels": None,
             },
             metadata={
                 "source": "input",

libs/langgraph/tests/test_deprecation.py

@@ -1,18 +1,11 @@
-from __future__ import annotations
-
-import warnings
-from typing import Any, Optional
-
 import pytest
-from langchain_core.runnables import RunnableConfig
 from pytest_mock import MockerFixture
-from typing_extensions import NotRequired, TypedDict
+from typing_extensions import TypedDict
 
 from langgraph.channels.last_value import LastValue
 from langgraph.errors import NodeInterrupt
 from langgraph.func import entrypoint, task
 from langgraph.graph import StateGraph
-from langgraph.graph.message import MessageGraph
 from langgraph.pregel import NodeBuilder, Pregel
 from langgraph.types import Interrupt, RetryPolicy
 from langgraph.warnings import LangGraphDeprecatedSinceV05, LangGraphDeprecatedSinceV10
@@ -101,6 +94,8 @@ def test_pregel_types_deprecation() -> None:
         from langgraph.pregel.types import StateSnapshot  # noqa: F401
 
 
+@pytest.mark.filterwarnings("ignore:`config_schema` is deprecated")
+@pytest.mark.filterwarnings("ignore:`get_config_jsonschema` is deprecated")
 def test_config_schema_deprecation() -> None:
     with pytest.warns(
         LangGraphDeprecatedSinceV10,
@@ -126,6 +121,7 @@ def test_config_schema_deprecation() -> None:
         graph.get_config_jsonschema()
 
 
+@pytest.mark.filterwarnings("ignore:`config_schema` is deprecated")
 def test_config_schema_deprecation_on_entrypoint() -> None:
     with pytest.warns(
         LangGraphDeprecatedSinceV10,
@@ -136,15 +132,10 @@ def test_config_schema_deprecation_on_entrypoint() -> None:
         def my_entrypoint(state: PlainState) -> PlainState:
             return state
 
-    with pytest.warns(
-        LangGraphDeprecatedSinceV10,
-        match="`config_schema` is deprecated. Use `get_context_jsonschema` for the relevant schema instead.",
-    ):
         assert my_entrypoint.context_schema == PlainState
         assert my_entrypoint.config_schema() is not None
 
 
-@pytest.mark.filterwarnings("ignore:`config_type` is deprecated")
 def test_config_type_deprecation_pregel(mocker: MockerFixture) -> None:
     add_one = mocker.Mock(side_effect=lambda x: x + 1)
     chain = NodeBuilder().subscribe_only("input").do(add_one).write_to("output")
@@ -168,6 +159,7 @@ def test_config_type_deprecation_pregel(mocker: MockerFixture) -> None:
         assert instance.context_schema == PlainState
 
 
+@pytest.mark.filterwarnings("ignore:`interrupt_id` is deprecated. Use `id` instead.")
 def test_interrupt_attributes_deprecation() -> None:
     interrupt = Interrupt(value="question", id="abc")
 
@@ -178,6 +170,7 @@ def test_interrupt_attributes_deprecation() -> None:
         interrupt.interrupt_id
 
 
+@pytest.mark.filterwarnings("ignore:NodeInterrupt is deprecated.")
 def test_node_interrupt_deprecation() -> None:
     with pytest.warns(
         LangGraphDeprecatedSinceV10,
@@ -192,152 +185,3 @@ def test_deprecated_import() -> None:
         match="Importing PREVIOUS from langgraph.constants is deprecated. This constant is now private and should not be used directly.",
     ):
         from langgraph.constants import PREVIOUS  # noqa: F401
-
-
-@pytest.mark.filterwarnings(
-    "ignore:`durability` has no effect when no checkpointer is present"
-)
-def test_checkpoint_during_deprecation_state_graph() -> None:
-    class CheckDurability(TypedDict):
-        durability: NotRequired[str]
-
-    def plain_node(state: CheckDurability, config: RunnableConfig) -> CheckDurability:
-        return {"durability": config["configurable"]["__pregel_durability"]}
-
-    builder = StateGraph(CheckDurability)
-    builder.add_node("plain_node", plain_node)
-    builder.set_entry_point("plain_node")
-    graph = builder.compile()
-
-    with pytest.warns(
-        LangGraphDeprecatedSinceV10,
-        match="`checkpoint_during` is deprecated and will be removed. Please use `durability` instead.",
-    ):
-        result = graph.invoke({}, checkpoint_during=True)
-        assert result["durability"] == "async"
-
-    with pytest.warns(
-        LangGraphDeprecatedSinceV10,
-        match="`checkpoint_during` is deprecated and will be removed. Please use `durability` instead.",
-    ):
-        result = graph.invoke({}, checkpoint_during=False)
-        assert result["durability"] == "exit"
-
-    with pytest.warns(
-        LangGraphDeprecatedSinceV10,
-        match="`checkpoint_during` is deprecated and will be removed. Please use `durability` instead.",
-    ):
-        for chunk in graph.stream({}, checkpoint_during=True):  # type: ignore[arg-type]
-            assert chunk["plain_node"]["durability"] == "async"
-
-    with pytest.warns(
-        LangGraphDeprecatedSinceV10,
-        match="`checkpoint_during` is deprecated and will be removed. Please use `durability` instead.",
-    ):
-        for chunk in graph.stream({}, checkpoint_during=False):  # type: ignore[arg-type]
-            assert chunk["plain_node"]["durability"] == "exit"
-
-
-def test_config_parameter_incorrect_typing() -> None:
-    """Test that a warning is raised when config parameter is typed incorrectly."""
-    builder = StateGraph(PlainState)
-
-    # Test sync function with config: dict
-    with pytest.warns(
-        UserWarning,
-        match="The 'config' parameter should be typed as 'RunnableConfig' or 'RunnableConfig | None', not '.*dict.*'. ",
-    ):
-
-        def sync_node_with_dict_config(state: PlainState, config: dict) -> PlainState:
-            return state
-
-        builder.add_node(sync_node_with_dict_config)
-
-    # Test async function with config: dict
-    with pytest.warns(
-        UserWarning,
-        match="The 'config' parameter should be typed as 'RunnableConfig' or 'RunnableConfig | None', not '.*dict.*'. ",
-    ):
-
-        async def async_node_with_dict_config(
-            state: PlainState, config: dict
-        ) -> PlainState:
-            return state
-
-        builder.add_node(async_node_with_dict_config)
-
-    # Test with other incorrect types
-    with pytest.warns(
-        UserWarning,
-        match="The 'config' parameter should be typed as 'RunnableConfig' or 'RunnableConfig | None', not '.*Any.*'. ",
-    ):
-
-        def sync_node_with_any_config(state: PlainState, config: Any) -> PlainState:
-            return state
-
-        builder.add_node(sync_node_with_any_config)
-
-    with pytest.warns(
-        UserWarning,
-        match="The 'config' parameter should be typed as 'RunnableConfig' or 'RunnableConfig | None', not '.*Any.*'. ",
-    ):
-
-        async def async_node_with_any_config(
-            state: PlainState, config: Any
-        ) -> PlainState:
-            return state
-
-        builder.add_node(async_node_with_any_config)
-
-    with warnings.catch_warnings(record=True) as w:
-
-        def node_with_correct_config(
-            state: PlainState, config: RunnableConfig
-        ) -> PlainState:
-            return state
-
-        builder.add_node(node_with_correct_config)
-
-        def node_with_optional_config(
-            state: PlainState,
-            config: Optional[RunnableConfig],  # noqa: UP045
-        ) -> PlainState:
-            return state
-
-        builder.add_node(node_with_optional_config)
-
-        def node_with_untyped_config(state: PlainState, config) -> PlainState:
-            return state
-
-        builder.add_node(node_with_untyped_config)
-
-        async def async_node_with_correct_config(
-            state: PlainState, config: RunnableConfig
-        ) -> PlainState:
-            return state
-
-        builder.add_node(async_node_with_correct_config)
-
-        async def async_node_with_optional_config(
-            state: PlainState,
-            config: Optional[RunnableConfig],  # noqa: UP045
-        ) -> PlainState:
-            return state
-
-        builder.add_node(async_node_with_optional_config)
-
-        async def async_node_with_untyped_config(
-            state: PlainState, config
-        ) -> PlainState:
-            return state
-
-        builder.add_node(async_node_with_untyped_config)
-        assert len(w) == 0
-
-
-def test_message_graph_deprecation() -> None:
-    with pytest.warns(
-        LangGraphDeprecatedSinceV10,
-        match="MessageGraph is deprecated in LangGraph v1.0.0, to be removed in v2.0.0. Please use StateGraph with a `messages` key instead.",
-    ):
-        MessageGraph()

libs/langgraph/tests/test_large_cases.py

@@ -6,9 +6,7 @@ from dataclasses import replace
 from typing import Annotated, Any, Literal, Optional, Union, cast
 
 import pytest
-from langchain_core.messages import AIMessage, AnyMessage, ToolCall
 from langchain_core.runnables import RunnableConfig, RunnableMap, RunnablePick
-from langchain_core.tools import tool
 from pytest_mock import MockerFixture
 from syrupy import SnapshotAssertion
 from typing_extensions import TypedDict
@@ -20,7 +18,7 @@ from langgraph.checkpoint.base import BaseCheckpointSaver
 from langgraph.checkpoint.memory import InMemorySaver
 from langgraph.constants import END, START
 from langgraph.graph import StateGraph
-from langgraph.graph.message import MessagesState, add_messages
+from langgraph.graph.message import MessageGraph, MessagesState, add_messages
 from langgraph.prebuilt.chat_agent_executor import create_react_agent
 from langgraph.prebuilt.tool_node import ToolNode
 from langgraph.pregel import NodeBuilder, Pregel
@@ -2443,7 +2441,7 @@ def test_message_graph(
             return "continue"
 
     # Define a new graph
-    workflow = StateGraph(state_schema=Annotated[list[AnyMessage], add_messages])  # type: ignore[arg-type]
+    workflow = MessageGraph()
 
     # Define the two nodes we will cycle between
     workflow.add_node("agent", model)
@@ -2489,7 +2487,7 @@ def test_message_graph(
         assert json.dumps(app.get_graph().to_json(), indent=2) == snapshot
         assert app.get_graph().draw_mermaid(with_styles=False) == snapshot
 
-    assert app.invoke([HumanMessage(content="what is weather in sf")]) == [
+    assert app.invoke(HumanMessage(content="what is weather in sf")) == [
         _AnyIdHumanMessage(
             content="what is weather in sf",
         ),
@@ -6437,6 +6435,10 @@ def test_weather_subgraph(
     from langchain_core.language_models.fake_chat_models import (
         FakeMessagesListChatModel,
     )
+    from langchain_core.messages import AIMessage, ToolCall
+    from langchain_core.tools import tool
+
+    from langgraph.graph import MessagesState
 
     # setup subgraph
 

libs/langgraph/tests/test_large_cases_async.py

@@ -11,7 +11,7 @@ from typing import (
 )
 
 import pytest
-from langchain_core.messages import AnyMessage, ToolCall
+from langchain_core.messages import ToolCall
 from langchain_core.runnables import RunnableConfig, RunnablePick
 from pytest_mock import MockerFixture
 from typing_extensions import TypedDict
@@ -21,7 +21,7 @@ from langgraph.channels.last_value import LastValue
 from langgraph.channels.untracked_value import UntrackedValue
 from langgraph.checkpoint.base import BaseCheckpointSaver
 from langgraph.constants import END, START
-from langgraph.graph.message import add_messages
+from langgraph.graph.message import MessageGraph, add_messages
 from langgraph.graph.state import StateGraph
 from langgraph.prebuilt.chat_agent_executor import create_react_agent
 from langgraph.prebuilt.tool_node import ToolNode
@@ -2117,7 +2117,7 @@ async def test_message_graph(async_checkpointer: BaseCheckpointSaver) -> None:
             return "continue"
 
     # Define a new graph
-    workflow = StateGraph(state_schema=Annotated[list[AnyMessage], add_messages])  # type: ignore[arg-type]
+    workflow = MessageGraph()
 
     # Define the two nodes we will cycle between
     workflow.add_node("agent", model)
@@ -2157,7 +2157,7 @@ async def test_message_graph(async_checkpointer: BaseCheckpointSaver) -> None:
     # meaning you can use it as you would any other runnable
     app = workflow.compile()
 
-    assert await app.ainvoke([HumanMessage(content="what is weather in sf")]) == [
+    assert await app.ainvoke(HumanMessage(content="what is weather in sf")) == [
         _AnyIdHumanMessage(
             content="what is weather in sf",
         ),

libs/langgraph/tests/test_managed_values.py

@@ -1,27 +0,0 @@
-from typing_extensions import NotRequired, Required, TypedDict
-
-from langgraph.graph import StateGraph
-from langgraph.managed import RemainingSteps
-
-
-class StatePlain(TypedDict):
-    remaining_steps: RemainingSteps
-
-
-class StateNotRequired(TypedDict):
-    remaining_steps: NotRequired[RemainingSteps]
-
-
-class StateRequired(TypedDict):
-    remaining_steps: Required[RemainingSteps]
-
-
-def test_managed_values_recognized() -> None:
-    graph = StateGraph(StatePlain)
-    assert "remaining_steps" in graph.managed
-
-    graph = StateGraph(StateNotRequired)
-    assert "remaining_steps" in graph.managed
-
-    graph = StateGraph(StateRequired)
-    assert "remaining_steps" in graph.managed

libs/langgraph/tests/test_pregel.py

@@ -16,7 +16,6 @@ from typing import Annotated, Any, Literal, Optional, Union, get_type_hints
 
 import pytest
 from langchain_core.language_models import GenericFakeChatModel
-from langchain_core.messages import AnyMessage
 from langchain_core.runnables import (
     RunnableConfig,
     RunnableLambda,
@@ -27,7 +26,7 @@ from langsmith import traceable
 from pydantic import BaseModel, ConfigDict, Field, ValidationError
 from pytest_mock import MockerFixture
 from syrupy import SnapshotAssertion
-from typing_extensions import NotRequired, TypedDict
+from typing_extensions import TypedDict
 
 from langgraph._internal._constants import CONFIG_KEY_NODE_FINISHED, ERROR, PULL
 from langgraph.cache.base import BaseCache
@@ -46,7 +45,7 @@ from langgraph.config import get_stream_writer
 from langgraph.errors import GraphRecursionError, InvalidUpdateError, ParentCommand
 from langgraph.func import entrypoint, task
 from langgraph.graph import END, START, StateGraph
-from langgraph.graph.message import MessagesState, add_messages
+from langgraph.graph.message import MessageGraph, MessagesState, add_messages
 from langgraph.prebuilt.tool_node import ToolNode
 from langgraph.pregel import (
     NodeBuilder,
@@ -968,7 +967,6 @@ def test_pending_writes_resume(
                 "branch:to:two": AnyVersion(),
             },
             "channel_values": {"value": 6},
-            "updated_channels": ["value"],
         },
         metadata={
             "parents": {},
@@ -1016,7 +1014,6 @@ def test_pending_writes_resume(
                 "branch:to:one": None,
                 "branch:to:two": None,
             },
-            "updated_channels": ["branch:to:one", "branch:to:two", "value"],
         },
         metadata={
             "parents": {},
@@ -1068,7 +1065,6 @@ def test_pending_writes_resume(
                 "__start__": AnyVersion(),
             },
             "channel_values": {"__start__": {"value": 1}},
-            "updated_channels": ["__start__"],
         },
         metadata={
             "parents": {},
@@ -3911,7 +3907,7 @@ def test_remove_message_via_state_update(
 ) -> None:
     from langchain_core.messages import AIMessage, HumanMessage, RemoveMessage
 
-    workflow = StateGraph(state_schema=Annotated[list[AnyMessage], add_messages])  # type: ignore[arg-type]
+    workflow = MessageGraph()
     workflow.add_node(
         "chatbot",
         lambda state: [
@@ -3944,7 +3940,7 @@ def test_remove_message_via_state_update(
 def test_remove_message_from_node():
     from langchain_core.messages import AIMessage, HumanMessage, RemoveMessage
 
-    workflow = StateGraph(state_schema=Annotated[list[AnyMessage], add_messages])  # type: ignore[arg-type]
+    workflow = MessageGraph()
     workflow.add_node(
         "chatbot",
         lambda state: [
@@ -4805,10 +4801,7 @@ def test_interrupt_subgraph(sync_checkpointer: BaseCheckpointSaver):
     assert graph.invoke(Command(resume="bar"), thread1)
 
 
-@pytest.mark.parametrize("resume_style", ["null", "map"])
-def test_interrupt_multiple(
-    sync_checkpointer: BaseCheckpointSaver, resume_style: Literal["null", "map"]
-):
+def test_interrupt_multiple(sync_checkpointer: BaseCheckpointSaver):
     class State(TypedDict):
         my_key: Annotated[str, operator.add]
 
@@ -4824,8 +4817,7 @@ def test_interrupt_multiple(
     graph = builder.compile(checkpointer=sync_checkpointer)
     thread1 = {"configurable": {"thread_id": "1"}}
 
-    result = [e for e in graph.stream({"my_key": "DE", "market": "DE"}, thread1)]
-    assert result == [
+    assert [e for e in graph.stream({"my_key": "DE", "market": "DE"}, thread1)] == [
         {
             "__interrupt__": (
                 Interrupt(
@@ -4836,19 +4828,12 @@ def test_interrupt_multiple(
         }
     ]
 
-    result = [
+    assert [
         event
         for event in graph.stream(
-            Command(
-                resume="answer 1"
-                if resume_style == "null"
-                else {result[0]["__interrupt__"][0].id: "answer 1"},
-                update={"my_key": " foofoo "},
-            ),
-            thread1,
+            Command(resume="answer 1", update={"my_key": " foofoo "}), thread1
         )
-    ]
-    assert result == [
+    ] == [
         {
             "__interrupt__": (
                 Interrupt(
@@ -4862,13 +4847,7 @@ def test_interrupt_multiple(
     assert [
         event
         for event in graph.stream(
-            Command(
-                resume="answer 2"
-                if resume_style == "null"
-                else {result[0]["__interrupt__"][0].id: "answer 2"}
-            ),
-            thread1,
-            stream_mode="values",
+            Command(resume="answer 2"), thread1, stream_mode="values"
         )
     ] == [
         {"my_key": "DE foofoo "},
@@ -8283,53 +8262,3 @@ def test_fork_and_update_task_results(sync_checkpointer: BaseCheckpointSaver) ->
             ],
         ],
     ]
-
-
-def test_subgraph_streaming_sync() -> None:
-    """Test subgraph streaming when used as a node in sync version"""
-
-    # Create a fake chat model that returns a simple response
-    model = GenericFakeChatModel(messages=iter(["The weather is sunny today."]))
-
-    # Create a subgraph that uses the fake chat model
-    def call_model_node(state: MessagesState, config: RunnableConfig) -> MessagesState:
-        """Node that calls the model with the last message."""
-        messages = state["messages"]
-        last_message = messages[-1].content if messages else ""
-        response = model.invoke([("user", last_message)], config)
-        return {"messages": [response]}
-
-    # Build the subgraph
-    subgraph = StateGraph(MessagesState)
-    subgraph.add_node("call_model", call_model_node)
-    subgraph.add_edge(START, "call_model")
-    compiled_subgraph = subgraph.compile()
-
-    class SomeCustomState(TypedDict):
-        last_chunk: NotRequired[str]
-        num_chunks: NotRequired[int]
-
-    # Will invoke a subgraph as a function
-    def parent_node(state: SomeCustomState, config: RunnableConfig) -> dict:
-        """Node that runs the subgraph."""
-        msgs = {"messages": [("user", "What is the weather in Tokyo?")]}
-        events = []
-        for event in compiled_subgraph.stream(msgs, config, stream_mode="messages"):
-            events.append(event)
-        ai_msg_chunks = [ai_msg_chunk for ai_msg_chunk, _ in events]
-        return {
-            "last_chunk": ai_msg_chunks[-1],
-            "num_chunks": len(ai_msg_chunks),
-        }
-
-    # Build the main workflow
-    workflow = StateGraph(SomeCustomState)
-    workflow.add_node("subgraph", parent_node)
-    workflow.add_edge(START, "subgraph")
-    compiled_workflow = workflow.compile()
-
-    # Test the basic functionality
-    result = compiled_workflow.invoke({})
-
-    assert result["last_chunk"].content == "today."
-    assert result["num_chunks"] == 9

libs/langgraph/tests/test_pregel_async.py

@@ -26,7 +26,7 @@ from langchain_core.utils.aiter import aclosing
 from pydantic import BaseModel, ConfigDict, Field, ValidationError
 from pytest_mock import MockerFixture
 from syrupy import SnapshotAssertion
-from typing_extensions import NotRequired, TypedDict
+from typing_extensions import TypedDict
 
 from langgraph._internal._constants import CONFIG_KEY_NODE_FINISHED, ERROR, PULL
 from langgraph.cache.base import BaseCache
@@ -1908,7 +1908,6 @@ async def test_pending_writes_resume(
                 "branch:to:two": AnyVersion(),
             },
             "channel_values": {"value": 6},
-            "updated_channels": ["value"],
         },
         metadata={
             "parents": {},
@@ -1956,7 +1955,6 @@ async def test_pending_writes_resume(
                 "branch:to:one": None,
                 "branch:to:two": None,
             },
-            "updated_channels": ["branch:to:one", "branch:to:two", "value"],
         },
         metadata={
             "parents": {},
@@ -2004,7 +2002,6 @@ async def test_pending_writes_resume(
                 "__start__": AnyVersion(),
             },
             "channel_values": {"__start__": {"value": 1}},
-            "updated_channels": ["__start__"],
         },
         metadata={
             "parents": {},
@@ -9053,57 +9050,3 @@ async def test_fork_and_update_task_results(
             ],
         ],
     ]
-
-
-async def test_subgraph_streaming_async() -> None:
-    """Test subgraph streaming when used as a node in async version"""
-
-    # Create a fake chat model that returns a simple response
-    model = GenericFakeChatModel(messages=iter(["The weather is sunny today."]))
-
-    # Create a subgraph that uses the fake chat model
-    async def call_model_node(
-        state: MessagesState, config: RunnableConfig
-    ) -> MessagesState:
-        """Node that calls the model with the last message."""
-        messages = state["messages"]
-        last_message = messages[-1].content if messages else ""
-        response = await model.ainvoke([("user", last_message)], config)
-        return {"messages": [response]}
-
-    # Build the subgraph
-    subgraph = StateGraph(MessagesState)
-    subgraph.add_node("call_model", call_model_node)
-    subgraph.add_edge(START, "call_model")
-    compiled_subgraph = subgraph.compile()
-
-    class SomeCustomState(TypedDict):
-        last_chunk: NotRequired[str]
-        num_chunks: NotRequired[int]
-
-    # Will invoke a subgraph as a function
-    async def parent_node(state: SomeCustomState, config: RunnableConfig) -> dict:
-        """Node that runs the subgraph."""
-        msgs = {"messages": [("user", "What is the weather in Tokyo?")]}
-        events = []
-        async for event in compiled_subgraph.astream(
-            msgs, config, stream_mode="messages"
-        ):
-            events.append(event)
-        ai_msg_chunks = [ai_msg_chunk for ai_msg_chunk, _ in events]
-        return {
-            "last_chunk": ai_msg_chunks[-1],
-            "num_chunks": len(ai_msg_chunks),
-        }
-
-    # Build the main workflow
-    workflow = StateGraph(SomeCustomState)
-    workflow.add_node("subgraph", parent_node)
-    workflow.add_edge(START, "subgraph")
-    compiled_workflow = workflow.compile()
-
-    # Test the basic functionality
-    result = await compiled_workflow.ainvoke({})
-
-    assert result["last_chunk"].content == "today."
-    assert result["num_chunks"] == 9