locking

.github/workflows/_integration_test.yml

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

.github/workflows/ci.yml

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

.gitignore

@@ -100,3 +100,10 @@ dmypy.json
 .turbo
 .editorconfig
 .scratch
+
+# macOS debug symbol bundles generated during local Rust builds
+saf-python-sdk/python/saf_python_sdk/*.dSYM/
+
+# Local PyO3 extension artifacts for saf-python-sdk
+saf-python-sdk/python/saf_python_sdk/langgraph_rust_core*.so
+saf-python-sdk/python/saf_python_sdk/langgraph_rust_core*.pyd

.markdownlint.json

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

README.md

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

advanced-graph-examples/Makefile

@@ -0,0 +1,6 @@
+PYTHON_VERSION ?= 3.13
+
+.PHONY: run-basic
+run-basic:
+	uv run --python $(PYTHON_VERSION) python examples/basic_run.py
+

advanced-graph-examples/README.md

@@ -0,0 +1,14 @@
+# advanced-graph-examples
+
+Examples for the published `saf-python-sdk` package.
+
+## Quick start
+
+```bash
+cd advanced-graph-examples
+uv sync
+uv run python examples/basic_run.py
+```
+
+> Note: current published wheel is for Python 3.13 on macOS arm64.
+

advanced-graph-examples/examples/basic_run.py

@@ -0,0 +1,36 @@
+from __future__ import annotations
+
+import asyncio
+from typing import TypedDict
+
+from saf_python_sdk import Command, Send
+from saf_python_sdk.advanced_graph import AdvancedStateGraph
+
+
+class MyState(TypedDict):
+    count: int
+    logs: list[str]
+
+
+async def start_node(state: MyState) -> Command:
+    state["logs"].append("start")
+    return Command(update=state, goto=Send("finish_node", "hello"))
+
+
+async def finish_node(input: str, state: MyState) -> Command:
+    state["logs"].append(f"finish:{input}")
+    state["count"] += 1
+    return Command(update=state)
+
+
+async def main() -> None:
+    graph = AdvancedStateGraph(MyState)
+    graph.add_entry_node(start_node)
+    graph.add_finish_node(finish_node)
+    result = await graph.compile().ainvoke({"count": 0, "logs": []})
+    print(result)
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
+

advanced-graph-examples/pyproject.toml

@@ -0,0 +1,12 @@
+[project]
+name = "advanced-graph-examples"
+version = "0.1.0"
+requires-python = ">=3.13,<3.14"
+dependencies = [
+    "saf-python-sdk>=0.1.1",
+]
+
+[tool.uv]
+dev-dependencies = []
+
+

advanced-graph-examples/uv.lock

@@ -0,0 +1,25 @@
+version = 1
+revision = 3
+requires-python = "==3.13.*"
+
+[[package]]
+name = "advanced-graph-examples"
+version = "0.1.0"
+source = { virtual = "." }
+dependencies = [
+    { name = "saf-python-sdk" },
+]
+
+[package.metadata]
+requires-dist = [{ name = "saf-python-sdk", specifier = ">=0.1.1" }]
+
+[package.metadata.requires-dev]
+dev = []
+
+[[package]]
+name = "saf-python-sdk"
+version = "0.1.2"
+source = { registry = "https://pypi.org/simple" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/c5/43/2a86cdc8a1fbb185b9ce4642f0e3676acc168d48ed2e68d4ead6ad57e95e/saf_python_sdk-0.1.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:9035ab6ede9884b5588925c47d5b8be2c1c107becf5d6f88e0ebb39f4e8fac3b", size = 517053, upload-time = "2026-03-16T23:49:25.661Z" },
+]

langgraph-go/advancedgraph/graph.go

@@ -0,0 +1,581 @@
+package advancedgraph
+
+import (
+	"encoding/json"
+	"fmt"
+	"reflect"
+	"runtime"
+	"strings"
+)
+
+type nodeExecutor func(ctx *Context, input any, state map[string]any) (Command, error)
+
+type nodeConfig struct {
+	lockedFields []string
+}
+
+type NodeOption interface {
+	applyToNodeConfig(*nodeConfig)
+}
+
+type NodeStateOption struct {
+	LockedFields []string
+}
+
+func (o NodeStateOption) applyToNodeConfig(cfg *nodeConfig) {
+	if cfg == nil {
+		return
+	}
+	cfg.lockedFields = append(cfg.lockedFields[:0], o.LockedFields...)
+}
+
+type AdvancedStateGraph[StateT any] struct {
+	nodes         map[string]nodeExecutor
+	nodeOptions   map[string]nodeConfig
+	asyncChannels []string
+	customStreams []string
+	entryPoint    string
+	finishPoint   string
+	stateType     reflect.Type
+}
+
+func NewAdvancedStateGraph[StateT any]() *AdvancedStateGraph[StateT] {
+	stateType := mustTypeOf[StateT]()
+	if stateType.Kind() != reflect.Struct {
+		panic(fmt.Sprintf("StateT must be a struct, got %s", stateType.String()))
+	}
+	return &AdvancedStateGraph[StateT]{
+		nodes:       make(map[string]nodeExecutor),
+		nodeOptions: make(map[string]nodeConfig),
+		stateType:   stateType,
+	}
+}
+
+// AddNode keeps `fn` as `any` because advanced graph nodes can have different
+// input argument types per node, while only `StateT` is globally constrained.
+// We validate and adapt node signatures at runtime in compileNodeExecutor.
+func (g *AdvancedStateGraph[StateT]) AddNode(fn any, nodeOption ...NodeOption) string {
+	name := NodeName(fn)
+	return g.AddNodeAs(name, fn, nodeOption...)
+}
+
+func (g *AdvancedStateGraph[StateT]) AddNodeAs(name string, fn any, nodeOption ...NodeOption) string {
+	if _, exists := g.nodes[name]; exists {
+		panic(fmt.Sprintf("node `%s` already exists", name))
+	}
+	exec, err := compileNodeExecutor(fn, g.stateType)
+	if err != nil {
+		panic(err)
+	}
+	g.nodes[name] = exec
+	g.nodeOptions[name] = resolveNodeConfig(nodeOption...)
+	return name
+}
+
+func (g *AdvancedStateGraph[StateT]) AddAsyncChannel(name string) {
+	g.asyncChannels = append(g.asyncChannels, name)
+}
+
+func (g *AdvancedStateGraph[StateT]) AddCustomOutputStream(name string) {
+	g.customStreams = append(g.customStreams, name)
+}
+
+func (g *AdvancedStateGraph[StateT]) AddEntryNode(fn any, nodeOption ...NodeOption) string {
+	name := NodeName(fn)
+	return g.AddEntryNodeAs(name, fn, nodeOption...)
+}
+
+func (g *AdvancedStateGraph[StateT]) AddEntryNodeAs(name string, fn any, nodeOption ...NodeOption) string {
+	name = g.AddNodeAs(name, fn, nodeOption...)
+	g.entryPoint = name
+	return name
+}
+
+func (g *AdvancedStateGraph[StateT]) AddFinishNode(fn any, nodeOption ...NodeOption) string {
+	name := NodeName(fn)
+	return g.AddFinishNodeAs(name, fn, nodeOption...)
+}
+
+func (g *AdvancedStateGraph[StateT]) AddFinishNodeAs(name string, fn any, nodeOption ...NodeOption) string {
+	name = g.AddNodeAs(name, fn, nodeOption...)
+	g.finishPoint = name
+	return name
+}
+
+func (g *AdvancedStateGraph[StateT]) Compile() *CompiledGraph[StateT] {
+	return &CompiledGraph[StateT]{
+		nodes:         g.nodes,
+		nodeOptions:   g.nodeOptions,
+		asyncChannels: g.asyncChannels,
+		customStreams: g.customStreams,
+		entryPoint:    g.entryPoint,
+		finishPoint:   g.finishPoint,
+		stateType:     g.stateType,
+	}
+}
+
+type CompiledGraph[StateT any] struct {
+	nodes         map[string]nodeExecutor
+	nodeOptions   map[string]nodeConfig
+	asyncChannels []string
+	customStreams []string
+	entryPoint    string
+	finishPoint   string
+	stateType     reflect.Type
+}
+
+type Context struct {
+	engine      *RustEngine
+	resumeEvent *WaitEvent
+	isResume    bool
+}
+
+func (c *Context) WaitFor(target WaitTarget) (WaitForResult, error) {
+	if target == nil {
+		return WaitForResult{}, fmt.Errorf("wait target cannot be nil")
+	}
+	if c.resumeEvent != nil {
+		event := *c.resumeEvent
+		c.resumeEvent = nil
+		return waitForResultFromRaw(target, event), nil
+	}
+	return WaitForResult{}, ErrWaitRequested{Target: target}
+}
+
+func (c *Context) IsResume() bool {
+	return c.isResume
+}
+
+func (c *Context) PublishToChannel(channel string, value any) error {
+	return c.engine.Publish(channel, value)
+}
+
+func (c *Context) SendCustomStreamEvent(streamName string, value any) error {
+	return c.engine.SendCustomStreamEvent(streamName, value)
+}
+
+type Handler[StateT any] struct {
+	engine       *RustEngine
+	done         chan resultOrErr[StateT]
+	streamReadyC chan struct{}
+}
+
+type resultOrErr[StateT any] struct {
+	state StateT
+	err   error
+}
+
+func (h *Handler[StateT]) PublishToChannel(channel string, value any) error {
+	return h.engine.Publish(channel, value)
+}
+
+func (h *Handler[StateT]) WaitForResult() (StateT, error) {
+	res := <-h.done
+	return res.state, res.err
+}
+
+func (h *Handler[StateT]) ReceiveStream(streamName string) (any, error) {
+	<-h.streamReadyC
+	event, hasEvent, err := h.engine.ReceiveStream(streamName)
+	if err != nil {
+		return nil, err
+	}
+	if !hasEvent {
+		return nil, nil
+	}
+	return event, nil
+}
+
+func (h *Handler[StateT]) CloseAllStreams() error {
+	<-h.streamReadyC
+	return h.engine.CloseAllStreams()
+}
+
+func (g *CompiledGraph[StateT]) Start(initialInput any, initialState StateT, streamMode ...string) (*Handler[StateT], error) {
+	resolvedStreamMode := ""
+	if len(streamMode) > 1 {
+		return nil, fmt.Errorf("start accepts at most one stream mode")
+	}
+	if len(streamMode) == 1 {
+		resolvedStreamMode = streamMode[0]
+	}
+	engine := NewRustEngine()
+	for _, ch := range g.asyncChannels {
+		if err := engine.AddAsyncChannel(ch); err != nil {
+			return nil, err
+		}
+	}
+	for _, streamName := range g.customStreams {
+		if err := engine.AddCustomOutputStream(streamName); err != nil {
+			return nil, err
+		}
+	}
+
+	handler := &Handler[StateT]{
+		engine:       engine,
+		done:         make(chan resultOrErr[StateT], 1),
+		streamReadyC: make(chan struct{}),
+	}
+	go func() {
+		defer engine.Close()
+		streamModeForRun := resolvedStreamMode
+		if resolvedStreamMode != "" {
+			if err := engine.StartStream(resolvedStreamMode); err != nil {
+				close(handler.streamReadyC)
+				handler.done <- resultOrErr[StateT]{err: err}
+				close(handler.done)
+				return
+			}
+			streamModeForRun = ""
+		}
+		close(handler.streamReadyC)
+		rawState, err := engine.RunGraph(
+			g.entryPoint,
+			g.finishPoint,
+			streamModeForRun,
+			initialState,
+			initialInput,
+			g.nodeLockedFields(),
+			func(node string, nodeInput any, fallbackState map[string]any) (Command, error) {
+				fn, ok := g.nodes[node]
+				if !ok {
+					return Command{}, fmt.Errorf("unknown node `%s`", node)
+				}
+				if fallbackState == nil {
+					return Command{}, fmt.Errorf("node `%s` expected map state argument", node)
+				}
+				resolvedInput, resumeEvent := unwrapResumeInput(nodeInput)
+				return fn(
+					&Context{
+						engine:      engine,
+						resumeEvent: resumeEvent,
+						isResume:    resumeEvent != nil,
+					},
+					resolvedInput,
+					fallbackState,
+				)
+			},
+		)
+		if err != nil {
+			handler.done <- resultOrErr[StateT]{err: err}
+			close(handler.done)
+			return
+		}
+		state, err := mapToState[StateT](rawState)
+		handler.done <- resultOrErr[StateT]{state: state, err: err}
+		close(handler.done)
+	}()
+	return handler, nil
+}
+
+func (g *CompiledGraph[StateT]) nodeLockedFields() map[string][]string {
+	result := make(map[string][]string, len(g.nodeOptions))
+	for nodeName, option := range g.nodeOptions {
+		if len(option.lockedFields) == 0 {
+			continue
+		}
+		fields := make([]string, 0, len(option.lockedFields))
+		for _, field := range option.lockedFields {
+			if field == "" {
+				continue
+			}
+			fields = append(fields, field)
+		}
+		if len(fields) > 0 {
+			result[nodeName] = fields
+		}
+	}
+	return result
+}
+
+func resolveNodeConfig(nodeOption ...NodeOption) nodeConfig {
+	cfg := nodeConfig{}
+	for _, option := range nodeOption {
+		if option == nil {
+			panic("node option cannot be nil")
+		}
+		option.applyToNodeConfig(&cfg)
+	}
+	return cfg
+}
+
+func NodeName(fn any) string {
+	rv := reflect.ValueOf(fn)
+	if !rv.IsValid() || rv.Kind() != reflect.Func {
+		panic("cannot infer node name from non-function value")
+	}
+	pc := rv.Pointer()
+	f := runtime.FuncForPC(pc)
+	if f == nil {
+		panic("cannot infer node name from nil function")
+	}
+	full := f.Name()
+	if strings.Contains(full, ".func") {
+		panic("anonymous functions are not allowed as nodes")
+	}
+	short := full
+	if i := strings.LastIndex(short, "/"); i >= 0 {
+		short = short[i+1:]
+	}
+	if i := strings.LastIndex(short, "."); i >= 0 {
+		short = short[i+1:]
+	}
+	short = strings.TrimSuffix(short, "-fm")
+	if short == "" || strings.Contains(short, "func") {
+		panic(fmt.Sprintf("cannot infer stable node name from `%s`", full))
+	}
+	return short
+}
+
+func compileNodeExecutor(fn any, expectedStateType reflect.Type) (nodeExecutor, error) {
+	rv := reflect.ValueOf(fn)
+	if !rv.IsValid() || rv.Kind() != reflect.Func {
+		return nil, fmt.Errorf("node must be a function")
+	}
+	rt := rv.Type()
+	if rt.NumIn() != 3 {
+		return nil, fmt.Errorf("node `%s` must accept exactly 3 args: (*Context, input, state)", NodeName(fn))
+	}
+	ctxType := reflect.TypeOf((*Context)(nil))
+	if rt.In(0) != ctxType {
+		return nil, fmt.Errorf("node `%s` first arg must be *Context", NodeName(fn))
+	}
+	if rt.NumOut() != 2 {
+		return nil, fmt.Errorf("node `%s` must return (Command, error)", NodeName(fn))
+	}
+	cmdType := reflect.TypeOf(Command{})
+	if rt.Out(0) != cmdType {
+		return nil, fmt.Errorf("node `%s` first return must be Command", NodeName(fn))
+	}
+	errType := reflect.TypeOf((*error)(nil)).Elem()
+	if !rt.Out(1).Implements(errType) {
+		return nil, fmt.Errorf("node `%s` second return must be error", NodeName(fn))
+	}
+
+	inputType := rt.In(1)
+	stateType := rt.In(2)
+	if stateType != expectedStateType {
+		return nil, fmt.Errorf(
+			"node `%s` state type mismatch: got %s, graph expects %s",
+			NodeName(fn),
+			stateType.String(),
+			expectedStateType.String(),
+		)
+	}
+	return func(ctx *Context, input any, state map[string]any) (Command, error) {
+		stateArg, err := convertStateArg(state, stateType)
+		if err != nil {
+			return Command{}, fmt.Errorf("node `%s` state decode failed: %w", NodeName(fn), err)
+		}
+		args := []reflect.Value{
+			reflect.ValueOf(ctx),
+			reflect.Zero(inputType),
+			stateArg,
+		}
+		if input != nil {
+			inVal := reflect.ValueOf(input)
+			if inVal.Type().AssignableTo(inputType) {
+				args[1] = inVal
+			} else if inVal.Type().ConvertibleTo(inputType) {
+				args[1] = inVal.Convert(inputType)
+			} else {
+				return Command{}, fmt.Errorf(
+					"node `%s` input type mismatch: got %T, want %s",
+					NodeName(fn),
+					input,
+					inputType.String(),
+				)
+			}
+		}
+		out := rv.Call(args)
+		cmd := out[0].Interface().(Command)
+		if cmd.Update != nil {
+			updateType := reflect.TypeOf(cmd.Update)
+			if updateType != stateType {
+				return Command{}, fmt.Errorf(
+					"node `%s` update type mismatch: got %s, graph expects %s",
+					NodeName(fn),
+					updateType.String(),
+					stateType.String(),
+				)
+			}
+		}
+		if out[1].IsNil() {
+			return cmd, nil
+		}
+		return cmd, out[1].Interface().(error)
+	}, nil
+}
+
+func convertStateArg(state map[string]any, stateType reflect.Type) (reflect.Value, error) {
+	if stateType == reflect.TypeOf(map[string]any{}) {
+		return reflect.ValueOf(state), nil
+	}
+	raw, err := json.Marshal(state)
+	if err != nil {
+		return reflect.Value{}, fmt.Errorf("marshal state: %w", err)
+	}
+	if stateType.Kind() == reflect.Ptr {
+		target := reflect.New(stateType.Elem())
+		if err := json.Unmarshal(raw, target.Interface()); err != nil {
+			return reflect.Value{}, fmt.Errorf("unmarshal state into %s: %w", stateType.String(), err)
+		}
+		return target, nil
+	}
+	target := reflect.New(stateType)
+	if err := json.Unmarshal(raw, target.Interface()); err != nil {
+		return reflect.Value{}, fmt.Errorf("unmarshal state into %s: %w", stateType.String(), err)
+	}
+	return target.Elem(), nil
+}
+
+func mapToState[StateT any](raw map[string]any) (StateT, error) {
+	var out StateT
+	if anyVal, ok := any(raw).(StateT); ok {
+		return anyVal, nil
+	}
+	payload, err := json.Marshal(raw)
+	if err != nil {
+		return out, fmt.Errorf("marshal state: %w", err)
+	}
+	if err := json.Unmarshal(payload, &out); err != nil {
+		return out, fmt.Errorf("unmarshal state: %w", err)
+	}
+	return out, nil
+}
+
+func mustTypeOf[T any]() reflect.Type {
+	var zero T
+	t := reflect.TypeOf(zero)
+	if t != nil {
+		return t
+	}
+	// Handles nil-able types where zero value has no dynamic type.
+	return reflect.TypeOf((*T)(nil)).Elem()
+}
+
+func unwrapResumeInput(input any) (any, *WaitEvent) {
+	wrapper, ok := input.(map[string]any)
+	if !ok {
+		return input, nil
+	}
+	rawArg, hasArg := wrapper["__lg_resume_arg__"]
+	rawEvent, hasEvent := wrapper["__lg_resume_event__"]
+	if !hasArg || !hasEvent {
+		return input, nil
+	}
+	eventPayload, err := json.Marshal(rawEvent)
+	if err != nil {
+		return rawArg, nil
+	}
+	var event WaitEvent
+	if err := json.Unmarshal(eventPayload, &event); err != nil {
+		return rawArg, nil
+	}
+	return rawArg, &event
+}
+
+func waitForResultFromRaw(target WaitTarget, event WaitEvent) WaitForResult {
+	conditions := target.waitConditions()
+	result := WaitForResult{
+		Conditions: make([]ConditionResult, len(conditions)),
+	}
+	if target.waitKind() == "all_of" {
+		for i, cond := range conditions {
+			if isTimerCondition(cond) {
+				result.Conditions[i] = ConditionResult{Met: true}
+			}
+		}
+	}
+
+	if event.Condition == "timer" {
+		for i, cond := range conditions {
+			if isTimerCondition(cond) {
+				result.Conditions[i] = ConditionResult{Met: true}
+				if target.waitKind() == "any_of" {
+					break
+				}
+			}
+		}
+		return result
+	}
+
+	if event.Condition != "channel" {
+		return result
+	}
+
+	if event.Channel == "__any_of__" || event.Channel == "__all_of__" {
+		var matched []struct {
+			Channel string `json:"channel"`
+			Value   any    `json:"value"`
+		}
+		_ = json.Unmarshal(event.Value, &matched)
+		cursor := 0
+		for i, cond := range conditions {
+			channelName, ok := channelNameOfCondition(cond)
+			if !ok || cursor >= len(matched) {
+				continue
+			}
+			if channelName == matched[cursor].Channel {
+				result.Conditions[i] = ConditionResult{
+					Met:         true,
+					ChannelName: channelName,
+					Values:      toValues(matched[cursor].Value),
+				}
+				cursor++
+			}
+		}
+		return result
+	}
+
+	var value any
+	_ = json.Unmarshal(event.Value, &value)
+	for i, cond := range conditions {
+		channelName, ok := channelNameOfCondition(cond)
+		if !ok {
+			continue
+		}
+		if channelName == event.Channel {
+			result.Conditions[i] = ConditionResult{
+				Met:         true,
+				ChannelName: channelName,
+				Values:      toValues(value),
+			}
+			break
+		}
+	}
+	return result
+}
+
+func isTimerCondition(cond WaitCondition) bool {
+	switch cond.(type) {
+	case TimerCondition, *TimerCondition:
+		return true
+	default:
+		return false
+	}
+}
+
+func channelNameOfCondition(cond WaitCondition) (string, bool) {
+	switch c := cond.(type) {
+	case ChannelCondition:
+		return c.Channel, true
+	case *ChannelCondition:
+		if c == nil {
+			return "", false
+		}
+		return c.Channel, true
+	default:
+		return "", false
+	}
+}
+
+func toValues(value any) []any {
+	if value == nil {
+		return []any{}
+	}
+	if vals, ok := value.([]any); ok {
+		return vals
+	}
+	return []any{value}
+}

langgraph-go/advancedgraph/rust_engine.go

@@ -0,0 +1,456 @@
+package advancedgraph
+
+/*
+#cgo CFLAGS: -I${SRCDIR}/../../rust-core/include
+#cgo LDFLAGS: -L${SRCDIR}/../../rust-core/target/debug -llanggraph_rust_core
+#include "langgraph_rust_core.h"
+#include <stdlib.h>
+extern char* goNodeCallback(unsigned long user_data, char* node, char* arg_json, char* state_json);
+static inline char* rc_run_graph_json_with_go_callback(
+    Engine* ptr,
+    const char* entry_point,
+    const char* finish_point,
+    const char* initial_state_json,
+    const char* initial_input_json,
+    const char* stream_mode,
+    const char* node_locked_fields_json,
+    unsigned long user_data
+) {
+    return rc_run_graph_json(
+        ptr,
+        entry_point,
+        finish_point,
+        initial_state_json,
+        initial_input_json,
+        stream_mode,
+        node_locked_fields_json,
+        user_data,
+        goNodeCallback
+    );
+}
+*/
+import "C"
+
+import (
+	"encoding/json"
+	"fmt"
+	"reflect"
+	"sync"
+	"sync/atomic"
+	"unsafe"
+)
+
+type RustEngine struct {
+	ptr *C.Engine
+}
+
+type runGraphCallbackCtx struct {
+	exec func(node string, nodeInput any, state map[string]any) (Command, error)
+}
+
+var (
+	callbackRegistryMu sync.RWMutex
+	callbackRegistry   = map[uint64]*runGraphCallbackCtx{}
+	callbackNextID     uint64
+)
+
+func registerRunGraphCallbackCtx(ctx *runGraphCallbackCtx) uint64 {
+	id := atomic.AddUint64(&callbackNextID, 1)
+	callbackRegistryMu.Lock()
+	callbackRegistry[id] = ctx
+	callbackRegistryMu.Unlock()
+	return id
+}
+
+func unregisterRunGraphCallbackCtx(id uint64) {
+	callbackRegistryMu.Lock()
+	delete(callbackRegistry, id)
+	callbackRegistryMu.Unlock()
+}
+
+func getRunGraphCallbackCtx(id uint64) (*runGraphCallbackCtx, bool) {
+	callbackRegistryMu.RLock()
+	ctx, ok := callbackRegistry[id]
+	callbackRegistryMu.RUnlock()
+	return ctx, ok
+}
+
+//export goNodeCallback
+func goNodeCallback(userData C.ulong, node *C.char, argJSON *C.char, stateJSON *C.char) *C.char {
+	ctx, ok := getRunGraphCallbackCtx(uint64(userData))
+	if !ok {
+		return cCallbackEnvelopeError("invalid callback context (possibly stale callback)")
+	}
+
+	nodeName := C.GoString(node)
+
+	var nodeInput any
+	if err := json.Unmarshal([]byte(C.GoString(argJSON)), &nodeInput); err != nil {
+		return cCallbackEnvelopeError(fmt.Sprintf("decode arg failed for `%s`: %v", nodeName, err))
+	}
+	var state map[string]any
+	if err := json.Unmarshal([]byte(C.GoString(stateJSON)), &state); err != nil {
+		return cCallbackEnvelopeError(fmt.Sprintf("decode state failed for `%s`: %v", nodeName, err))
+	}
+	nodeInput = coerceJSONValue(nodeInput)
+	stateAny := coerceJSONValue(state)
+	state, ok = stateAny.(map[string]any)
+	if !ok {
+		return cCallbackEnvelopeError(fmt.Sprintf("decoded state has unexpected type for `%s`", nodeName))
+	}
+
+	cmd, err := ctx.exec(nodeName, nodeInput, state)
+	if err != nil {
+		if waitReq, ok := AsErrWaitRequested(err); ok {
+			return cCallbackEnvelopeSuspend(waitReq.Target)
+		}
+		return cCallbackEnvelopeError(err.Error())
+	}
+
+	sends := make([]map[string]any, 0, len(cmd.Goto))
+	for _, send := range cmd.Goto {
+		targetNode, err := resolveSendTarget(send.Node)
+		if err != nil {
+			return cCallbackEnvelopeError(err.Error())
+		}
+		sends = append(sends, map[string]any{
+			"node": targetNode,
+			"arg":  send.NodeInput,
+		})
+	}
+	payload := map[string]any{
+		"update": cmd.Update,
+		"sends":  sends,
+	}
+	raw, err := json.Marshal(map[string]any{
+		"ok":      true,
+		"payload": payload,
+	})
+	if err != nil {
+		return cCallbackEnvelopeError(fmt.Sprintf("encode callback payload failed: %v", err))
+	}
+	return C.CString(string(raw))
+}
+
+func NewRustEngine() *RustEngine {
+	return &RustEngine{ptr: C.rc_engine_new()}
+}
+
+func (e *RustEngine) Close() {
+	if e.ptr != nil {
+		C.rc_engine_free(e.ptr)
+		e.ptr = nil
+	}
+}
+
+func (e *RustEngine) AddAsyncChannel(channel string) error {
+	cch := C.CString(channel)
+	defer C.free(unsafe.Pointer(cch))
+	resp := C.rc_add_async_channel(e.ptr, cch)
+	return parseRustStatus(resp)
+}
+
+func (e *RustEngine) AddCustomOutputStream(streamName string) error {
+	cname := C.CString(streamName)
+	defer C.free(unsafe.Pointer(cname))
+	resp := C.rc_add_custom_output_stream(e.ptr, cname)
+	return parseRustStatus(resp)
+}
+
+func (e *RustEngine) StartStream(streamMode string) error {
+	var cmode *C.char
+	if streamMode != "" {
+		cmode = C.CString(streamMode)
+		defer C.free(unsafe.Pointer(cmode))
+	}
+	resp := C.rc_start_stream(e.ptr, cmode)
+	return parseRustStatus(resp)
+}
+
+func (e *RustEngine) ReceiveStream(streamName string) (any, bool, error) {
+	cname := C.CString(streamName)
+	defer C.free(unsafe.Pointer(cname))
+	resp := C.rc_receive_stream_json(e.ptr, cname)
+	defer C.rc_string_free(resp)
+
+	raw := C.GoString(resp)
+	var status struct {
+		OK       bool            `json:"ok"`
+		Error    string          `json:"error"`
+		HasEvent bool            `json:"has_event"`
+		Event    json.RawMessage `json:"event"`
+	}
+	if err := json.Unmarshal([]byte(raw), &status); err != nil {
+		return nil, false, fmt.Errorf("decode rust stream response: %w", err)
+	}
+	if !status.OK {
+		return nil, false, fmt.Errorf("rust stream failed: %s", status.Error)
+	}
+	if !status.HasEvent {
+		return nil, false, nil
+	}
+	var event any
+	if err := json.Unmarshal(status.Event, &event); err != nil {
+		return nil, false, fmt.Errorf("decode stream event: %w", err)
+	}
+	return coerceJSONValue(event), true, nil
+}
+
+func (e *RustEngine) SendCustomStreamEvent(streamName string, value any) error {
+	payload, err := json.Marshal(value)
+	if err != nil {
+		return fmt.Errorf("marshal stream event: %w", err)
+	}
+	cname := C.CString(streamName)
+	cval := C.CString(string(payload))
+	defer C.free(unsafe.Pointer(cname))
+	defer C.free(unsafe.Pointer(cval))
+	resp := C.rc_send_custom_stream_event(e.ptr, cname, cval)
+	return parseRustStatus(resp)
+}
+
+func (e *RustEngine) CloseAllStreams() error {
+	resp := C.rc_close_all_streams(e.ptr)
+	return parseRustStatus(resp)
+}
+
+func (e *RustEngine) Publish(channel string, value any) error {
+	payload, err := json.Marshal(value)
+	if err != nil {
+		return fmt.Errorf("marshal publish value: %w", err)
+	}
+	cch := C.CString(channel)
+	cval := C.CString(string(payload))
+	defer C.free(unsafe.Pointer(cch))
+	defer C.free(unsafe.Pointer(cval))
+	resp := C.rc_publish_json(e.ptr, cch, cval)
+	return parseRustStatus(resp)
+}
+
+func (e *RustEngine) WaitAnyOf(cond AnyOfCondition) (WaitEvent, error) {
+	payload, err := json.Marshal(cond)
+	if err != nil {
+		return WaitEvent{}, fmt.Errorf("marshal any_of: %w", err)
+	}
+	cpayload := C.CString(string(payload))
+	defer C.free(unsafe.Pointer(cpayload))
+	resp := C.rc_wait_any_of_json(e.ptr, cpayload)
+	defer C.rc_string_free(resp)
+
+	raw := C.GoString(resp)
+	var status struct {
+		OK    bool            `json:"ok"`
+		Error string          `json:"error"`
+		Event json.RawMessage `json:"event"`
+	}
+	if err := json.Unmarshal([]byte(raw), &status); err != nil {
+		return WaitEvent{}, fmt.Errorf("decode rust wait response: %w", err)
+	}
+	if !status.OK {
+		return WaitEvent{}, fmt.Errorf("rust wait failed: %s", status.Error)
+	}
+	var event WaitEvent
+	if err := json.Unmarshal(status.Event, &event); err != nil {
+		return WaitEvent{}, fmt.Errorf("decode wait event: %w", err)
+	}
+	return event, nil
+}
+
+func (e *RustEngine) WaitAllOf(cond AllOfCondition) (WaitEvent, error) {
+	payload, err := json.Marshal(cond)
+	if err != nil {
+		return WaitEvent{}, fmt.Errorf("marshal all_of: %w", err)
+	}
+	cpayload := C.CString(string(payload))
+	defer C.free(unsafe.Pointer(cpayload))
+	resp := C.rc_wait_all_of_json(e.ptr, cpayload)
+	defer C.rc_string_free(resp)
+
+	raw := C.GoString(resp)
+	var status struct {
+		OK    bool            `json:"ok"`
+		Error string          `json:"error"`
+		Event json.RawMessage `json:"event"`
+	}
+	if err := json.Unmarshal([]byte(raw), &status); err != nil {
+		return WaitEvent{}, fmt.Errorf("decode rust wait response: %w", err)
+	}
+	if !status.OK {
+		return WaitEvent{}, fmt.Errorf("rust wait failed: %s", status.Error)
+	}
+	var event WaitEvent
+	if err := json.Unmarshal(status.Event, &event); err != nil {
+		return WaitEvent{}, fmt.Errorf("decode wait event: %w", err)
+	}
+	return event, nil
+}
+
+func (e *RustEngine) RunGraph(
+	entryPoint string,
+	finishPoint string,
+	streamMode string,
+	initialState any,
+	initialInput any,
+	nodeLockedFields map[string][]string,
+	exec func(node string, nodeInput any, state map[string]any) (Command, error),
+) (map[string]any, error) {
+	initialJSON, err := json.Marshal(initialState)
+	if err != nil {
+		return nil, fmt.Errorf("marshal initial state: %w", err)
+	}
+	initialInputJSON, err := json.Marshal(initialInput)
+	if err != nil {
+		return nil, fmt.Errorf("marshal initial input: %w", err)
+	}
+	lockedFieldsJSON, err := json.Marshal(nodeLockedFields)
+	if err != nil {
+		return nil, fmt.Errorf("marshal node locked fields: %w", err)
+	}
+	centry := C.CString(entryPoint)
+	cfinish := C.CString(finishPoint)
+	cinitial := C.CString(string(initialJSON))
+	cinitialInput := C.CString(string(initialInputJSON))
+	clockedFields := C.CString(string(lockedFieldsJSON))
+	var cstreamMode *C.char
+	if streamMode != "" {
+		cstreamMode = C.CString(streamMode)
+	}
+	defer C.free(unsafe.Pointer(centry))
+	defer C.free(unsafe.Pointer(cfinish))
+	defer C.free(unsafe.Pointer(cinitial))
+	defer C.free(unsafe.Pointer(cinitialInput))
+	defer C.free(unsafe.Pointer(clockedFields))
+	if cstreamMode != nil {
+		defer C.free(unsafe.Pointer(cstreamMode))
+	}
+
+	callbackID := registerRunGraphCallbackCtx(&runGraphCallbackCtx{exec: exec})
+	defer unregisterRunGraphCallbackCtx(callbackID)
+
+	resp := C.rc_run_graph_json_with_go_callback(
+		e.ptr,
+		centry,
+		cfinish,
+		cinitial,
+		cinitialInput,
+		cstreamMode,
+		clockedFields,
+		C.ulong(callbackID),
+	)
+	defer C.rc_string_free(resp)
+
+	raw := C.GoString(resp)
+	var status struct {
+		OK    bool           `json:"ok"`
+		Error string         `json:"error"`
+		State map[string]any `json:"state"`
+	}
+	if err := json.Unmarshal([]byte(raw), &status); err != nil {
+		return nil, fmt.Errorf("decode rust run response: %w", err)
+	}
+	if !status.OK {
+		return nil, fmt.Errorf("rust run failed: %s", status.Error)
+	}
+	coerced := coerceJSONValue(status.State)
+	typed, ok := coerced.(map[string]any)
+	if !ok {
+		return nil, fmt.Errorf("unexpected state type from rust run")
+	}
+	return typed, nil
+}
+
+func cCallbackEnvelopeError(message string) *C.char {
+	raw, _ := json.Marshal(map[string]any{
+		"ok":    false,
+		"error": message,
+	})
+	return C.CString(string(raw))
+}
+
+func cCallbackEnvelopeSuspend(target WaitTarget) *C.char {
+	if target == nil {
+		return cCallbackEnvelopeError("wait requested with nil target")
+	}
+	kind := target.waitKind()
+	if kind != "any_of" && kind != "all_of" {
+		return cCallbackEnvelopeError(fmt.Sprintf("unsupported wait target kind `%s`", kind))
+	}
+	var payload map[string]any
+	if kind == "any_of" {
+		payload = map[string]any{
+			"kind":   "any_of",
+			"any_of": AnyOfCondition{Conditions: target.waitConditions()},
+		}
+	} else {
+		payload = map[string]any{
+			"kind":   "all_of",
+			"all_of": AllOfCondition{Conditions: target.waitConditions()},
+		}
+	}
+	raw, _ := json.Marshal(map[string]any{
+		"ok":      true,
+		"suspend": payload,
+	})
+	return C.CString(string(raw))
+}
+
+func resolveSendTarget(target any) (string, error) {
+	if name, ok := target.(string); ok {
+		if name == "" {
+			return "", fmt.Errorf("send target cannot be empty string")
+		}
+		return name, nil
+	}
+	rv := reflect.ValueOf(target)
+	if rv.IsValid() && rv.Kind() == reflect.Func {
+		return NodeName(target), nil
+	}
+	return "", fmt.Errorf("unsupported send target type %T", target)
+}
+
+func coerceJSONValue(v any) any {
+	switch t := v.(type) {
+	case map[string]any:
+		out := make(map[string]any, len(t))
+		for k, val := range t {
+			out[k] = coerceJSONValue(val)
+		}
+		return out
+	case []any:
+		coerced := make([]any, len(t))
+		allStrings := true
+		for i, val := range t {
+			cv := coerceJSONValue(val)
+			coerced[i] = cv
+			if _, ok := cv.(string); !ok {
+				allStrings = false
+			}
+		}
+		if allStrings {
+			out := make([]string, len(coerced))
+			for i, item := range coerced {
+				out[i] = item.(string)
+			}
+			return out
+		}
+		return coerced
+	default:
+		return v
+	}
+}
+
+func parseRustStatus(resp *C.char) error {
+	defer C.rc_string_free(resp)
+	raw := C.GoString(resp)
+	var status struct {
+		OK    bool   `json:"ok"`
+		Error string `json:"error"`
+	}
+	if err := json.Unmarshal([]byte(raw), &status); err != nil {
+		return fmt.Errorf("decode rust response: %w", err)
+	}
+	if !status.OK {
+		return fmt.Errorf("rust error: %s", status.Error)
+	}
+	return nil
+}

langgraph-go/advancedgraph/types.go

@@ -0,0 +1,191 @@
+package advancedgraph
+
+import (
+	"encoding/json"
+	"errors"
+	"fmt"
+	"reflect"
+)
+
+type WaitCondition interface {
+	json.Marshaler
+}
+
+type ChannelCondition struct {
+	Channel string
+	Min     int
+	Max     int
+}
+
+type channelConditionJSON struct {
+	Kind    string `json:"kind"`
+	Channel string `json:"channel"`
+	Min     int    `json:"min"`
+	Max     int    `json:"max"`
+}
+
+func (c ChannelCondition) MarshalJSON() ([]byte, error) {
+	min := c.Min
+	if min <= 0 {
+		min = 1
+	}
+	return json.Marshal(channelConditionJSON{
+		Kind:    "channel",
+		Channel: c.Channel,
+		Min:     min,
+		Max:     c.Max,
+	})
+}
+
+type TimerCondition struct {
+	Seconds float64
+}
+
+type timerConditionJSON struct {
+	Kind    string  `json:"kind"`
+	Seconds float64 `json:"seconds"`
+}
+
+func (t TimerCondition) MarshalJSON() ([]byte, error) {
+	return json.Marshal(timerConditionJSON{
+		Kind:    "timer",
+		Seconds: t.Seconds,
+	})
+}
+
+type AnyOfCondition struct {
+	Conditions []WaitCondition
+}
+
+type AllOfCondition struct {
+	Conditions []WaitCondition
+}
+
+type WaitTarget interface {
+	waitKind() string
+	waitConditions() []WaitCondition
+}
+
+func (a AnyOfCondition) waitKind() string {
+	return "any_of"
+}
+
+func (a AnyOfCondition) waitConditions() []WaitCondition {
+	return a.Conditions
+}
+
+func (a AllOfCondition) waitKind() string {
+	return "all_of"
+}
+
+func (a AllOfCondition) waitConditions() []WaitCondition {
+	return a.Conditions
+}
+
+func AnyOf(conditions ...WaitCondition) AnyOfCondition {
+	return AnyOfCondition{Conditions: append([]WaitCondition{}, conditions...)}
+}
+
+func AllOf(conditions ...WaitCondition) AllOfCondition {
+	return AllOfCondition{Conditions: append([]WaitCondition{}, conditions...)}
+}
+
+func (a AnyOfCondition) MarshalJSON() ([]byte, error) {
+	result := struct {
+		Conditions []json.RawMessage `json:"conditions"`
+	}{
+		Conditions: make([]json.RawMessage, 0, len(a.Conditions)),
+	}
+	for i, cond := range a.Conditions {
+		if isNilWaitCondition(cond) {
+			return nil, fmt.Errorf("any_of condition[%d] is nil", i)
+		}
+		raw, err := cond.MarshalJSON()
+		if err != nil {
+			return nil, fmt.Errorf("encode any_of condition[%d]: %w", i, err)
+		}
+		result.Conditions = append(result.Conditions, json.RawMessage(raw))
+	}
+	return json.Marshal(result)
+}
+
+func (a AllOfCondition) MarshalJSON() ([]byte, error) {
+	result := struct {
+		Conditions []json.RawMessage `json:"conditions"`
+	}{
+		Conditions: make([]json.RawMessage, 0, len(a.Conditions)),
+	}
+	for i, cond := range a.Conditions {
+		if isNilWaitCondition(cond) {
+			return nil, fmt.Errorf("all_of condition[%d] is nil", i)
+		}
+		raw, err := cond.MarshalJSON()
+		if err != nil {
+			return nil, fmt.Errorf("encode all_of condition[%d]: %w", i, err)
+		}
+		result.Conditions = append(result.Conditions, json.RawMessage(raw))
+	}
+	return json.Marshal(result)
+}
+
+func isNilWaitCondition(cond WaitCondition) bool {
+	if cond == nil {
+		return true
+	}
+	v := reflect.ValueOf(cond)
+	switch v.Kind() {
+	case reflect.Ptr, reflect.Interface, reflect.Slice, reflect.Map, reflect.Func:
+		return v.IsNil()
+	default:
+		return false
+	}
+}
+
+type WaitEvent struct {
+	Condition string          `json:"condition"`
+	Channel   string          `json:"channel,omitempty"`
+	Value     json.RawMessage `json:"value,omitempty"`
+	Seconds   float64         `json:"seconds,omitempty"`
+}
+
+type ConditionResult struct {
+	Met         bool   `json:"met"`
+	ChannelName string `json:"channel_name,omitempty"`
+	Values      []any  `json:"values,omitempty"`
+}
+
+type WaitForResult struct {
+	Conditions []ConditionResult `json:"conditions"`
+}
+
+type Send struct {
+	Node      any
+	NodeInput any
+}
+
+type Command struct {
+	Update any
+	Goto   []Send
+}
+
+type ErrWaitRequested struct {
+	Target WaitTarget
+}
+
+func (e ErrWaitRequested) Error() string {
+	return "wait requested"
+}
+
+func AsErrWaitRequested(err error) (ErrWaitRequested, bool) {
+	var target ErrWaitRequested
+	if !errors.As(err, &target) {
+		return target, false
+	}
+	return target, true
+}
+
+func DecodeString(raw json.RawMessage) string {
+	var s string
+	_ = json.Unmarshal(raw, &s)
+	return s
+}

langgraph-go/go.mod

@@ -0,0 +1,3 @@
+module github.com/langchain-ai/langgraph/langgraph-go
+
+go 1.25

langgraph-go/stategraph/state_graph.go

@@ -0,0 +1,329 @@
+package stategraph
+
+import (
+	"encoding/json"
+	"errors"
+	"fmt"
+	"slices"
+
+	ag "github.com/langchain-ai/langgraph/langgraph-go/advancedgraph"
+)
+
+type StateNodeFunc[StateT any] func(ctx *Context, state StateT) (StateT, error)
+
+const (
+	internalBarrierChannel   = "__stategraph_barrier"
+	internalInterruptChannel = "__stategraph_interrupt"
+)
+
+type Context struct {
+	inner *ag.Context
+}
+
+func (c *Context) Interrupt(name string) (any, error) {
+	if name == "" {
+		return nil, fmt.Errorf("interrupt name cannot be empty")
+	}
+	event, err := c.inner.WaitFor(ag.AnyOf(ag.ChannelCondition{
+		Channel: internalInterruptChannel,
+		Min:     1,
+	}))
+	if err != nil {
+		if waitReq, ok := ag.AsErrWaitRequested(err); ok {
+			return nil, errInterruptRequested{
+				Name:      name,
+				Condition: waitReq.Target,
+			}
+		}
+		return nil, err
+	}
+	if len(event.Conditions) == 0 || !event.Conditions[0].Met {
+		return nil, nil
+	}
+	values := event.Conditions[0].Values
+	if len(values) == 0 {
+		return nil, nil
+	}
+	rawValue := values[0]
+	valueBytes, err := json.Marshal(rawValue)
+	if err != nil {
+		return nil, fmt.Errorf("encode interrupt `%s` value: %w", name, err)
+	}
+
+	var payload interruptPayload
+	if err := json.Unmarshal(valueBytes, &payload); err != nil {
+		var value any
+		if err := json.Unmarshal(valueBytes, &value); err != nil {
+			return nil, fmt.Errorf("decode interrupt `%s` value: %w", name, err)
+		}
+		return value, nil
+	}
+	if payload.Name != "" && payload.Name != name {
+		return nil, fmt.Errorf("interrupt name mismatch: expected `%s`, got `%s`", name, payload.Name)
+	}
+	if len(payload.Value) == 0 {
+		return nil, nil
+	}
+	var value any
+	if err := json.Unmarshal(payload.Value, &value); err != nil {
+		return nil, fmt.Errorf("decode interrupt `%s` payload: %w", name, err)
+	}
+	return value, nil
+}
+
+type errInterruptRequested struct {
+	Name      string
+	Condition ag.WaitTarget
+}
+
+func (e errInterruptRequested) Error() string {
+	if e.Name == "" {
+		return "interrupt requested"
+	}
+	return fmt.Sprintf("interrupt requested: %s", e.Name)
+}
+
+func asErrInterruptRequested(err error) (errInterruptRequested, bool) {
+	var target errInterruptRequested
+	if !errors.As(err, &target) {
+		return target, false
+	}
+	return target, true
+}
+
+type BasicStateGraph[StateT any] struct {
+	nodes map[string]StateNodeFunc[StateT]
+	edges map[string][]string
+}
+
+type interruptPayload struct {
+	Name  string          `json:"name"`
+	Value json.RawMessage `json:"value"`
+}
+
+func NewBasicStateGraph[StateT any]() *BasicStateGraph[StateT] {
+	return &BasicStateGraph[StateT]{
+		nodes: make(map[string]StateNodeFunc[StateT]),
+		edges: make(map[string][]string),
+	}
+}
+
+func (g *BasicStateGraph[StateT]) AddNode(fn StateNodeFunc[StateT]) string {
+	name := ag.NodeName(fn)
+	if _, exists := g.nodes[name]; exists {
+		panic(fmt.Sprintf("node `%s` already exists", name))
+	}
+	g.nodes[name] = fn
+	return name
+}
+
+func (g *BasicStateGraph[StateT]) AddEdge(from StateNodeFunc[StateT], to StateNodeFunc[StateT]) {
+	fromName := ag.NodeName(from)
+	toName := ag.NodeName(to)
+	if _, ok := g.nodes[fromName]; !ok {
+		panic(fmt.Sprintf("source node `%s` does not exist", fromName))
+	}
+	if _, ok := g.nodes[toName]; !ok {
+		panic(fmt.Sprintf("target node `%s` does not exist", toName))
+	}
+	g.edges[fromName] = append(g.edges[fromName], toName)
+}
+
+type CompiledBasicStateGraph[StateT any] struct {
+	inner *ag.CompiledGraph[StateT]
+}
+
+type Handler[StateT any] struct {
+	inner *ag.Handler[StateT]
+}
+
+func (h *Handler[StateT]) WaitForResult() (StateT, error) {
+	return h.inner.WaitForResult()
+}
+
+func (h *Handler[StateT]) Resume(name string, value any) error {
+	if name == "" {
+		return fmt.Errorf("interrupt name cannot be empty")
+	}
+	return h.inner.PublishToChannel(internalInterruptChannel, map[string]any{
+		"name":  name,
+		"value": value,
+	})
+}
+
+func (g *BasicStateGraph[StateT]) Compile() *CompiledBasicStateGraph[StateT] {
+	if len(g.nodes) == 0 {
+		panic("graph has no nodes")
+	}
+	levels, err := g.computeSupersteps()
+	if err != nil {
+		panic(err)
+	}
+	adv := ag.NewAdvancedStateGraph[StateT]()
+	adv.AddAsyncChannel(internalBarrierChannel)
+	adv.AddAsyncChannel(internalInterruptChannel)
+
+	const finalNodeName = "__stategraph_finish"
+	finalNode := func(_ *ag.Context, _ any, state StateT) (ag.Command, error) {
+		return ag.Command{Update: state}, nil
+	}
+	adv.AddFinishNodeAs(finalNodeName, finalNode)
+
+	for stepIdx, stepNodes := range levels {
+		for _, nodeName := range stepNodes {
+			userFn := g.nodes[nodeName]
+			nextBarrier := fmt.Sprintf("__stategraph_barrier_%d", stepIdx+1)
+			wrapper := func(ctx *ag.Context, _ any, state StateT) (ag.Command, error) {
+				updated, err := userFn(&Context{inner: ctx}, state)
+				if err != nil {
+					if interruptReq, ok := asErrInterruptRequested(err); ok {
+						cond := interruptReq.Condition
+						if cond == nil {
+							cond = ag.AnyOf(ag.ChannelCondition{
+								Channel: internalInterruptChannel,
+								Min:     1,
+							})
+						}
+						return ag.Command{}, ag.ErrWaitRequested{Target: cond}
+					}
+					return ag.Command{}, err
+				}
+				if err := ctx.PublishToChannel(internalBarrierChannel, map[string]any{
+					"step": stepIdx,
+				}); err != nil {
+					return ag.Command{}, err
+				}
+				return ag.Command{
+					Update: updated,
+					Goto:   []ag.Send{{Node: nextBarrier}},
+				}, nil
+			}
+			adv.AddNodeAs(fmt.Sprintf("__stategraph_node_%s", nodeName), wrapper)
+		}
+	}
+
+	lastBarrier := len(levels)
+	for barrierStep := 0; barrierStep <= lastBarrier; barrierStep++ {
+		barrierName := fmt.Sprintf("__stategraph_barrier_%d", barrierStep)
+		nextStep := barrierStep
+		barrier := func(ctx *ag.Context, _ any, state StateT) (ag.Command, error) {
+			if nextStep > 0 {
+				needed := len(levels[nextStep-1])
+				_, err := ctx.WaitFor(ag.AnyOf(ag.ChannelCondition{
+					Channel: internalBarrierChannel,
+					Min:     needed,
+				}))
+				if err != nil {
+					return ag.Command{}, err
+				}
+			}
+			if nextStep >= len(levels) {
+				return ag.Command{
+					Update: state,
+					Goto:   []ag.Send{{Node: finalNodeName}},
+				}, nil
+			}
+			sends := make([]ag.Send, 0, len(levels[nextStep]))
+			for _, nodeName := range levels[nextStep] {
+				sends = append(sends, ag.Send{
+					Node: fmt.Sprintf("__stategraph_node_%s", nodeName),
+				})
+			}
+			return ag.Command{
+				Update: state,
+				Goto:   sends,
+			}, nil
+		}
+		if barrierStep == 0 {
+			adv.AddEntryNodeAs(barrierName, barrier)
+		} else {
+			adv.AddNodeAs(barrierName, barrier)
+		}
+	}
+
+	return &CompiledBasicStateGraph[StateT]{
+		inner: adv.Compile(),
+	}
+}
+
+func (g *CompiledBasicStateGraph[StateT]) Start(initialState StateT) (*Handler[StateT], error) {
+	raw, err := g.inner.Start(nil, initialState)
+	if err != nil {
+		return nil, err
+	}
+	return &Handler[StateT]{inner: raw}, nil
+}
+
+func (g *CompiledBasicStateGraph[StateT]) Invoke(initialState StateT) (StateT, error) {
+	handler, err := g.Start(initialState)
+	if err != nil {
+		var zero StateT
+		return zero, err
+	}
+	return handler.WaitForResult()
+}
+
+func (g *BasicStateGraph[StateT]) computeSupersteps() ([][]string, error) {
+	indegree := make(map[string]int, len(g.nodes))
+	for name := range g.nodes {
+		indegree[name] = 0
+	}
+	for from, tos := range g.edges {
+		if _, ok := g.nodes[from]; !ok {
+			return nil, fmt.Errorf("edge source `%s` does not exist", from)
+		}
+		for _, to := range tos {
+			if _, ok := g.nodes[to]; !ok {
+				return nil, fmt.Errorf("edge target `%s` does not exist", to)
+			}
+			indegree[to]++
+		}
+	}
+
+	queue := make([]string, 0, len(g.nodes))
+	level := make(map[string]int, len(g.nodes))
+	for name, deg := range indegree {
+		if deg == 0 {
+			queue = append(queue, name)
+		}
+	}
+	if len(queue) == 0 {
+		return nil, fmt.Errorf("graph has no entry nodes (cycle suspected)")
+	}
+
+	processed := 0
+	for len(queue) > 0 {
+		curr := queue[0]
+		queue = queue[1:]
+		processed++
+		currLevel := level[curr]
+		for _, to := range g.edges[curr] {
+			if level[to] < currLevel+1 {
+				level[to] = currLevel + 1
+			}
+			indegree[to]--
+			if indegree[to] == 0 {
+				queue = append(queue, to)
+			}
+		}
+	}
+	if processed != len(g.nodes) {
+		return nil, fmt.Errorf("graph contains a cycle")
+	}
+
+	maxLevel := 0
+	for _, lv := range level {
+		if lv > maxLevel {
+			maxLevel = lv
+		}
+	}
+	levels := make([][]string, maxLevel+1)
+	for nodeName := range g.nodes {
+		lv := level[nodeName]
+		levels[lv] = append(levels[lv], nodeName)
+	}
+	for i := range levels {
+		slices.Sort(levels[i])
+	}
+	return levels, nil
+}

langgraph-go/stategraph/state_graph_test.go

@@ -0,0 +1,218 @@
+package stategraph_test
+
+import (
+	"fmt"
+	"sync"
+	"sync/atomic"
+	"testing"
+	"time"
+
+	sg "github.com/langchain-ai/langgraph/langgraph-go/stategraph"
+)
+
+type stateGraphState struct {
+	Noop bool `json:"noop"`
+}
+
+type orderRecorder struct {
+	mu     sync.Mutex
+	orders map[string]int32
+	seq    int32
+}
+
+func newOrderRecorder() *orderRecorder {
+	return &orderRecorder{orders: make(map[string]int32)}
+}
+
+func (f *orderRecorder) record(name string) {
+	idx := atomic.AddInt32(&f.seq, 1)
+	f.mu.Lock()
+	f.orders[name] = idx
+	f.mu.Unlock()
+}
+
+type orderGraph struct {
+	recorder *orderRecorder
+}
+
+func newOrderGraph() *orderGraph {
+	return &orderGraph{
+		recorder: newOrderRecorder(),
+	}
+}
+
+func (g *orderGraph) A(_ *sg.Context, state stateGraphState) (stateGraphState, error) {
+	g.recorder.record("A")
+	return state, nil
+}
+
+func (g *orderGraph) B1(_ *sg.Context, state stateGraphState) (stateGraphState, error) {
+	g.recorder.record("B1")
+	return state, nil
+}
+
+func (g *orderGraph) B2(_ *sg.Context, state stateGraphState) (stateGraphState, error) {
+	g.recorder.record("B2")
+	return state, nil
+}
+
+func (g *orderGraph) C1(_ *sg.Context, state stateGraphState) (stateGraphState, error) {
+	g.recorder.record("C1")
+	return state, nil
+}
+
+func (g *orderGraph) C2(_ *sg.Context, state stateGraphState) (stateGraphState, error) {
+	g.recorder.record("C2")
+	return state, nil
+}
+
+func (g *orderGraph) C3(_ *sg.Context, state stateGraphState) (stateGraphState, error) {
+	g.recorder.record("C3")
+	return state, nil
+}
+
+func (g *orderGraph) D(_ *sg.Context, state stateGraphState) (stateGraphState, error) {
+	g.recorder.record("D")
+	return state, nil
+}
+
+func TestBasicStateGraphWithoutInterrupt(t *testing.T) {
+	fixture := newOrderGraph()
+	graph := sg.NewBasicStateGraph[stateGraphState]()
+	graph.AddNode(fixture.A)
+	graph.AddNode(fixture.B1)
+	graph.AddNode(fixture.B2)
+	graph.AddNode(fixture.C1)
+	graph.AddNode(fixture.C2)
+	graph.AddNode(fixture.C3)
+	graph.AddNode(fixture.D)
+
+	graph.AddEdge(fixture.A, fixture.B1)
+	graph.AddEdge(fixture.A, fixture.B2)
+	graph.AddEdge(fixture.B1, fixture.C1)
+	graph.AddEdge(fixture.B1, fixture.C2)
+	graph.AddEdge(fixture.B2, fixture.C3)
+	graph.AddEdge(fixture.C1, fixture.D)
+	graph.AddEdge(fixture.C2, fixture.D)
+	graph.AddEdge(fixture.C3, fixture.D)
+
+	_, err := graph.Compile().Invoke(stateGraphState{})
+	if err != nil {
+		t.Fatalf("invoke failed: %v", err)
+	}
+
+	fixture.recorder.mu.Lock()
+	orders := make(map[string]int32, len(fixture.recorder.orders))
+	for k, v := range fixture.recorder.orders {
+		orders[k] = v
+	}
+	fixture.recorder.mu.Unlock()
+
+	for _, name := range []string{"A", "B1", "B2", "C1", "C2", "C3", "D"} {
+		if _, ok := orders[name]; !ok {
+			t.Fatalf("node %s did not execute; orders=%v", name, orders)
+		}
+	}
+	maxB := maxInt32(orders["B1"], orders["B2"])
+	minC := minInt32(orders["C1"], minInt32(orders["C2"], orders["C3"]))
+	maxC := maxInt32(orders["C1"], maxInt32(orders["C2"], orders["C3"]))
+	if !(orders["A"] < orders["B1"] && orders["A"] < orders["B2"]) {
+		t.Fatalf("A should run before B-step, orders=%v", orders)
+	}
+	if !(maxB < minC) {
+		t.Fatalf("B-step should finish before C-step, orders=%v", orders)
+	}
+	if !(maxC < orders["D"]) {
+		t.Fatalf("C-step should finish before D, orders=%v", orders)
+	}
+}
+
+type interruptState struct {
+	A bool `json:"a"`
+	B bool `json:"b"`
+}
+
+type interruptFixture struct{}
+
+func (f *interruptFixture) A(_ *sg.Context, state interruptState) (interruptState, error) {
+	state.A = true
+	return state, nil
+}
+
+func (f *interruptFixture) B(ctx *sg.Context, state interruptState) (interruptState, error) {
+	if !state.A {
+		return state, fmt.Errorf("B should observe A=true")
+	}
+	value, err := ctx.Interrupt("resume_channel")
+	if err != nil {
+		return state, err
+	}
+	s, ok := value.(string)
+	if !ok || s != "go" {
+		return state, fmt.Errorf("unexpected interrupt payload: %#v", value)
+	}
+	state.B = true
+	return state, nil
+}
+
+func TestBasicStateGraphWithInterrupt(t *testing.T) {
+	fixture := &interruptFixture{}
+	graph := sg.NewBasicStateGraph[interruptState]()
+	graph.AddNode(fixture.A)
+	graph.AddNode(fixture.B)
+	graph.AddEdge(fixture.A, fixture.B)
+
+	handler, err := graph.Compile().Start(interruptState{})
+	if err != nil {
+		t.Fatalf("start failed: %v", err)
+	}
+
+	doneCh := make(chan interruptState, 1)
+	errCh := make(chan error, 1)
+	go func() {
+		result, runErr := handler.WaitForResult()
+		if runErr != nil {
+			errCh <- runErr
+			return
+		}
+		doneCh <- result
+	}()
+
+	select {
+	case <-doneCh:
+		t.Fatalf("run should pause for interrupt, but completed early")
+	case err := <-errCh:
+		t.Fatalf("run should pause for interrupt, but failed early: %v", err)
+	case <-time.After(120 * time.Millisecond):
+		// expected: paused
+	}
+
+	if err := handler.Resume("resume_channel", "go"); err != nil {
+		t.Fatalf("resume interrupt failed: %v", err)
+	}
+
+	select {
+	case err := <-errCh:
+		t.Fatalf("run failed after interrupt: %v", err)
+	case result := <-doneCh:
+		if !(result.A && result.B) {
+			t.Fatalf("unexpected final state: %#v", result)
+		}
+	case <-time.After(2 * time.Second):
+		t.Fatalf("timeout waiting for resumed run completion")
+	}
+}
+
+func minInt32(a int32, b int32) int32 {
+	if a < b {
+		return a
+	}
+	return b
+}
+
+func maxInt32(a int32, b int32) int32 {
+	if a > b {
+		return a
+	}
+	return b
+}

langgraph-go/tests/sub_agents_test.go

@@ -0,0 +1,213 @@
+package tests
+
+import (
+	"slices"
+	"testing"
+	"time"
+
+	ag "github.com/langchain-ai/langgraph/langgraph-go/advancedgraph"
+)
+
+type decision struct {
+	Type     string
+	SubAgent string
+	Tool     string
+	Complete string
+}
+
+type mockLLM struct {
+	responses [][]decision
+	i         int
+}
+
+func (m *mockLLM) invoke() []decision {
+	if m.i >= len(m.responses) {
+		return []decision{}
+	}
+	resp := m.responses[m.i]
+	m.i++
+	return resp
+}
+
+type lunchWorkflow struct {
+	planner *mockLLM
+}
+
+type lunchState struct {
+	Input  string   `json:"input"`
+	Output []string `json:"output"`
+	Done   string   `json:"done"`
+}
+
+func (w *lunchWorkflow) llmNode(ctx *ag.Context, _ any, _ lunchState) (ag.Command, error) {
+	decisions := w.planner.invoke()
+	sends := make([]ag.Send, 0, 4)
+	for _, d := range decisions {
+		if d.Type == "end" {
+			return ag.Command{
+				Goto: []ag.Send{
+					{Node: w.orderFoodNode, NodeInput: d.Complete},
+				},
+			}, nil
+		}
+		if d.Type == "sub_agent" {
+			sends = append(sends, ag.Send{Node: w.subAgentNode, NodeInput: d.SubAgent})
+		}
+		if d.Type == "tool" {
+			sends = append(sends, ag.Send{Node: w.toolNode, NodeInput: d.Tool})
+		}
+	}
+	sends = append(sends, ag.Send{Node: w.waitNode})
+	return ag.Command{Goto: sends}, nil
+}
+
+func (w *lunchWorkflow) waitNode(ctx *ag.Context, _ any, state lunchState) (ag.Command, error) {
+	event, err := ctx.WaitFor(
+		ag.AnyOf(
+			ag.ChannelCondition{Channel: "tool_completion_channel"},
+			ag.ChannelCondition{Channel: "subagent_completion_channel"},
+			ag.ChannelCondition{Channel: "user_input_channel"},
+			ag.TimerCondition{Seconds: 1},
+		),
+	)
+	if err != nil {
+		return ag.Command{}, err
+	}
+
+	output := append([]string(nil), state.Output...)
+	hadChannel := false
+	for _, cond := range event.Conditions {
+		if !cond.Met || cond.ChannelName == "" {
+			continue
+		}
+		for _, raw := range cond.Values {
+			payload, _ := raw.(string)
+			switch cond.ChannelName {
+			case "tool_completion_channel":
+				output = append(output, "tool: "+payload)
+			case "subagent_completion_channel":
+				output = append(output, "sub_agent: "+payload)
+			case "user_input_channel":
+				output = append(output, "user_input: "+payload)
+			}
+		}
+		hadChannel = true
+	}
+	if hadChannel {
+		state.Output = output
+		return ag.Command{Goto: []ag.Send{{Node: w.llmNode}}, Update: state}, nil
+	}
+
+	output = append(output, "timer: no updates yet")
+	state.Output = output
+	return ag.Command{Goto: []ag.Send{{Node: w.waitNode}}, Update: state}, nil
+}
+
+func (w *lunchWorkflow) toolNode(ctx *ag.Context, input any, _ lunchState) (ag.Command, error) {
+	toolInput, _ := input.(string)
+	time.Sleep(100 * time.Millisecond)
+	err := ctx.PublishToChannel("tool_completion_channel", "tool completed for: "+toolInput)
+	return ag.Command{}, err
+}
+
+func (w *lunchWorkflow) subAgentNode(ctx *ag.Context, input any, _ lunchState) (ag.Command, error) {
+	subInput, _ := input.(string)
+	time.Sleep(5 * time.Second)
+	err := ctx.PublishToChannel(
+		"subagent_completion_channel",
+		"research sub agent completed for: "+subInput,
+	)
+	return ag.Command{}, err
+}
+
+func (w *lunchWorkflow) orderFoodNode(ctx *ag.Context, input any, state lunchState) (ag.Command, error) {
+	complete, _ := input.(string)
+	output := append([]string(nil), state.Output...)
+	output = append(output, "order_food: "+complete)
+	state.Output = output
+	state.Done = complete
+	return ag.Command{Update: state}, nil
+}
+
+func TestSubAgentsEquivalentFlow(t *testing.T) {
+	planner := &mockLLM{
+		responses: [][]decision{
+			{
+				{Type: "sub_agent", SubAgent: "research lunch options"},
+				{Type: "tool", Tool: "slack_tool"},
+			},
+			{},
+			{},
+			{{Type: "sub_agent", SubAgent: "find vegetarian fallback"}},
+			{{Type: "end", Complete: "order submitted"}},
+		},
+	}
+	workflow := &lunchWorkflow{
+		planner: planner,
+	}
+
+	graph := ag.NewAdvancedStateGraph[lunchState]()
+	graph.AddAsyncChannel("tool_completion_channel")
+	graph.AddAsyncChannel("subagent_completion_channel")
+	graph.AddAsyncChannel("user_input_channel")
+
+	graph.AddEntryNode(workflow.llmNode)
+	graph.AddNode(workflow.waitNode)
+	graph.AddNode(workflow.toolNode)
+	graph.AddNode(workflow.subAgentNode)
+	graph.AddFinishNode(workflow.orderFoodNode)
+
+	handler, err := graph.Compile().Start(
+		nil,
+		lunchState{
+			Input:  "help me get something for lunch",
+			Output: []string{},
+			Done:   "",
+		},
+	)
+	if err != nil {
+		t.Fatalf("start failed: %v", err)
+	}
+
+	time.Sleep(10 * time.Millisecond)
+	if err := handler.PublishToChannel("user_input_channel", "No spicy food please"); err != nil {
+		t.Fatalf("publish failed: %v", err)
+	}
+
+	result, err := handler.WaitForResult()
+	if err != nil {
+		t.Fatalf("result failed: %v", err)
+	}
+
+	output := result.Output
+	if len(output) == 0 {
+		t.Fatalf("output is empty, full result=%#v", result)
+	}
+	if result.Done != "order submitted" {
+		t.Fatalf("unexpected done: %v", result.Done)
+	}
+	if !slices.Contains(output, "user_input: No spicy food please") {
+		t.Fatalf("missing user input output: %#v", output)
+	}
+	if !slices.Contains(output, "tool: tool completed for: slack_tool") {
+		t.Fatalf("missing tool output: %#v", output)
+	}
+	if !slices.Contains(output, "sub_agent: research sub agent completed for: research lunch options") {
+		t.Fatalf("missing first sub-agent output: %#v", output)
+	}
+	if !slices.Contains(output, "sub_agent: research sub agent completed for: find vegetarian fallback") {
+		t.Fatalf("missing second sub-agent output: %#v", output)
+	}
+	timerCount := 0
+	for _, line := range output {
+		if line == "timer: no updates yet" {
+			timerCount++
+		}
+	}
+	if timerCount < 3 {
+		t.Fatalf("expected >=3 timer outputs, got %d, output=%#v", timerCount, output)
+	}
+	if output[len(output)-1] != "order_food: order submitted" {
+		t.Fatalf("unexpected last output: %#v", output[len(output)-1])
+	}
+}

langgraph-go/tests/test_primitives_test.go

@@ -0,0 +1,589 @@
+package tests
+
+import (
+	"fmt"
+	"sync"
+	"testing"
+	"time"
+
+	ag "github.com/langchain-ai/langgraph/langgraph-go/advancedgraph"
+)
+
+type primitiveWorkflow struct {
+	dbWriteCount int
+	intervalMu   sync.Mutex
+	intervals    map[string][2]time.Time
+}
+
+type primitiveState struct {
+	Count int      `json:"count"`
+	Logs  []string `json:"logs"`
+	Done  string   `json:"done"`
+}
+
+func (w *primitiveWorkflow) startNode(ctx *ag.Context, input int, state primitiveState) (ag.Command, error) {
+	state.Logs = append(state.Logs, fmt.Sprintf("start:%d", input))
+	return ag.Command{
+		Update: state,
+		Goto: []ag.Send{
+			{Node: w.middleNode, NodeInput: "from_start"},
+		},
+	}, nil
+}
+
+func (w *primitiveWorkflow) middleNode(ctx *ag.Context, input string, state primitiveState) (ag.Command, error) {
+	state.Logs = append(state.Logs, "middle:"+input)
+	return ag.Command{
+		Update: state,
+		Goto: []ag.Send{
+			{Node: w.finishNode, NodeInput: "from_middle"},
+		},
+	}, nil
+}
+
+func (w *primitiveWorkflow) finishNode(ctx *ag.Context, input string, state primitiveState) (ag.Command, error) {
+	state.Logs = append(state.Logs, "finish:"+input)
+	state.Done = input
+	return ag.Command{Update: state}, nil
+}
+
+func TestInputAndStatePrimitivesCompatible(t *testing.T) {
+	workflow := &primitiveWorkflow{}
+	graph := ag.NewAdvancedStateGraph[primitiveState]()
+
+	graph.AddEntryNode(workflow.startNode)
+	graph.AddNode(workflow.middleNode)
+	graph.AddFinishNode(workflow.finishNode)
+
+	handler, err := graph.Compile().Start(100, primitiveState{
+		Count: 1,
+		Logs:  []string{},
+		Done:  "",
+	})
+	if err != nil {
+		t.Fatalf("start failed: %v", err)
+	}
+
+	result, err := handler.WaitForResult()
+	if err != nil {
+		t.Fatalf("result failed: %v", err)
+	}
+	if result.Done != "from_middle" {
+		t.Fatalf("unexpected done: %v", result.Done)
+	}
+	if result.Count != 1 {
+		t.Fatalf("unexpected count: %v", result.Count)
+	}
+	if len(result.Logs) != 3 || result.Logs[0] != "start:100" || result.Logs[1] != "middle:from_start" || result.Logs[2] != "finish:from_middle" {
+		t.Fatalf("unexpected logs: %#v", result.Logs)
+	}
+}
+
+func (w *primitiveWorkflow) startNoFinishNode(ctx *ag.Context, _ any, state primitiveState) (ag.Command, error) {
+	state.Logs = append(state.Logs, "start")
+	return ag.Command{
+		Update: state,
+		Goto: []ag.Send{
+			{Node: w.middleNoFinishNode, NodeInput: "from_start"},
+		},
+	}, nil
+}
+
+func (w *primitiveWorkflow) middleNoFinishNode(ctx *ag.Context, input string, state primitiveState) (ag.Command, error) {
+	state.Logs = append(state.Logs, "middle:"+input)
+	state.Count += 1
+	state.Done = "stopped"
+	// No goto and no finish node configured: run should end automatically.
+	return ag.Command{Update: state}, nil
+}
+
+func TestRunEndsWithoutFinishNode(t *testing.T) {
+	workflow := &primitiveWorkflow{}
+	graph := ag.NewAdvancedStateGraph[primitiveState]()
+
+	graph.AddEntryNode(workflow.startNoFinishNode)
+	graph.AddNode(workflow.middleNoFinishNode)
+
+	handler, err := graph.Compile().Start(nil, primitiveState{
+		Count: 7,
+		Logs:  []string{},
+		Done:  "",
+	})
+	if err != nil {
+		t.Fatalf("start failed: %v", err)
+	}
+
+	result, err := handler.WaitForResult()
+	if err != nil {
+		t.Fatalf("result failed: %v", err)
+	}
+	if result.Done != "stopped" {
+		t.Fatalf("unexpected done: %v", result.Done)
+	}
+	if result.Count != 8 {
+		t.Fatalf("unexpected count: %v", result.Count)
+	}
+	if len(result.Logs) != 2 || result.Logs[0] != "start" || result.Logs[1] != "middle:from_start" {
+		t.Fatalf("unexpected logs: %#v", result.Logs)
+	}
+}
+
+func (w *primitiveWorkflow) startWaitBatchNode(ctx *ag.Context, _ any, state primitiveState) (ag.Command, error) {
+	if err := ctx.PublishToChannel("events", "a"); err != nil {
+		return ag.Command{}, err
+	}
+	if err := ctx.PublishToChannel("events", "b"); err != nil {
+		return ag.Command{}, err
+	}
+	if err := ctx.PublishToChannel("events", "c"); err != nil {
+		return ag.Command{}, err
+	}
+	return ag.Command{
+		Update: state,
+		Goto: []ag.Send{
+			{Node: w.waitBatchNode, NodeInput: nil},
+		},
+	}, nil
+}
+
+func (w *primitiveWorkflow) waitBatchNode(ctx *ag.Context, _ any, state primitiveState) (ag.Command, error) {
+	result, err := ctx.WaitFor(ag.AnyOf(ag.ChannelCondition{
+		Channel: "events",
+		Min:     2,
+		Max:     4,
+	}))
+	if err != nil {
+		return ag.Command{}, err
+	}
+	if len(result.Conditions) != 1 || !result.Conditions[0].Met {
+		return ag.Command{}, fmt.Errorf("expected one met condition")
+	}
+	values := make([]string, 0, len(result.Conditions[0].Values))
+	for _, v := range result.Conditions[0].Values {
+		s, _ := v.(string)
+		values = append(values, s)
+	}
+	state.Count = len(values)
+	state.Logs = values
+	state.Done = "ok"
+	return ag.Command{Update: state}, nil
+}
+
+func TestChannelWaitRespectsMaxM(t *testing.T) {
+	workflow := &primitiveWorkflow{}
+	graph := ag.NewAdvancedStateGraph[primitiveState]()
+	graph.AddAsyncChannel("events")
+	graph.AddEntryNode(workflow.startWaitBatchNode)
+	graph.AddFinishNode(workflow.waitBatchNode)
+
+	handler, err := graph.Compile().Start(nil, primitiveState{
+		Count: 0,
+		Logs:  []string{},
+		Done:  "",
+	})
+	if err != nil {
+		t.Fatalf("start failed: %v", err)
+	}
+
+	result, err := handler.WaitForResult()
+	if err != nil {
+		t.Fatalf("result failed: %v", err)
+	}
+	if result.Count != 3 {
+		t.Fatalf("unexpected count: %v", result.Count)
+	}
+	if len(result.Logs) != 3 || result.Logs[0] != "a" || result.Logs[1] != "b" || result.Logs[2] != "c" {
+		t.Fatalf("unexpected logs: %#v", result.Logs)
+	}
+	if result.Done != "ok" {
+		t.Fatalf("unexpected done: %v", result.Done)
+	}
+}
+
+func (w *primitiveWorkflow) startAnyOfTwoChannelsNode(ctx *ag.Context, _ any, state primitiveState) (ag.Command, error) {
+	if err := ctx.PublishToChannel("alpha", "a1"); err != nil {
+		return ag.Command{}, err
+	}
+	if err := ctx.PublishToChannel("beta", "b1"); err != nil {
+		return ag.Command{}, err
+	}
+	return ag.Command{
+		Update: state,
+		Goto: []ag.Send{
+			{Node: w.waitAnyOfTwoChannelsNode, NodeInput: nil},
+		},
+	}, nil
+}
+
+func (w *primitiveWorkflow) waitAnyOfTwoChannelsNode(ctx *ag.Context, _ any, state primitiveState) (ag.Command, error) {
+	first, err := ctx.WaitFor(ag.AnyOf(
+		ag.ChannelCondition{Channel: "alpha"},
+		ag.ChannelCondition{Channel: "beta"},
+	))
+	if err != nil {
+		return ag.Command{}, err
+	}
+	if len(first.Conditions) != 2 {
+		return ag.Command{}, fmt.Errorf("expected 2 condition results, got %d", len(first.Conditions))
+	}
+	if !first.Conditions[0].Met || first.Conditions[0].ChannelName != "alpha" || len(first.Conditions[0].Values) != 1 || first.Conditions[0].Values[0] != "a1" {
+		return ag.Command{}, fmt.Errorf("unexpected first condition result: %#v", first.Conditions[0])
+	}
+	if !first.Conditions[1].Met || first.Conditions[1].ChannelName != "beta" || len(first.Conditions[1].Values) != 1 || first.Conditions[1].Values[0] != "b1" {
+		return ag.Command{}, fmt.Errorf("unexpected second condition result: %#v", first.Conditions[1])
+	}
+	if err := ctx.PublishToChannel("beta", "b2"); err != nil {
+		return ag.Command{}, err
+	}
+	state.Count = 1
+	state.Logs = []string{
+		"matched=2",
+	}
+	return ag.Command{
+		Update: state,
+		Goto: []ag.Send{
+			{Node: w.verifyBetaAfterAnyOfNode, NodeInput: nil},
+		},
+	}, nil
+}
+
+func (w *primitiveWorkflow) verifyBetaAfterAnyOfNode(ctx *ag.Context, _ any, state primitiveState) (ag.Command, error) {
+	second, err := ctx.WaitFor(ag.AnyOf(
+		ag.ChannelCondition{Channel: "beta"},
+	))
+	if err != nil {
+		return ag.Command{}, err
+	}
+	if len(second.Conditions) != 1 || !second.Conditions[0].Met || second.Conditions[0].ChannelName != "beta" || len(second.Conditions[0].Values) != 1 {
+		return ag.Command{}, fmt.Errorf("unexpected beta condition result: %#v", second.Conditions)
+	}
+	payload, _ := second.Conditions[0].Values[0].(string)
+	state.Count = 2
+	state.Logs = append(state.Logs, fmt.Sprintf("beta=%s", payload))
+	state.Done = "ok"
+	return ag.Command{Update: state}, nil
+}
+
+func TestAnyOfConsumesAllReadyChannels(t *testing.T) {
+	workflow := &primitiveWorkflow{}
+	graph := ag.NewAdvancedStateGraph[primitiveState]()
+	graph.AddAsyncChannel("alpha")
+	graph.AddAsyncChannel("beta")
+	graph.AddEntryNode(workflow.startAnyOfTwoChannelsNode)
+	graph.AddNode(workflow.waitAnyOfTwoChannelsNode)
+	graph.AddFinishNode(workflow.verifyBetaAfterAnyOfNode)
+
+	handler, err := graph.Compile().Start(nil, primitiveState{
+		Count: 0,
+		Logs:  []string{},
+		Done:  "",
+	})
+	if err != nil {
+		t.Fatalf("start failed: %v", err)
+	}
+
+	result, err := handler.WaitForResult()
+	if err != nil {
+		t.Fatalf("result failed: %v", err)
+	}
+	if result.Count != 2 {
+		t.Fatalf("unexpected count: %v", result.Count)
+	}
+	if len(result.Logs) != 2 || result.Logs[0] != "matched=2" || result.Logs[1] != "beta=b2" {
+		t.Fatalf("unexpected logs: %#v", result.Logs)
+	}
+	if result.Done != "ok" {
+		t.Fatalf("unexpected done: %v", result.Done)
+	}
+}
+
+func (w *primitiveWorkflow) startAllOfTwoChannelsNode(ctx *ag.Context, _ any, state primitiveState) (ag.Command, error) {
+	if err := ctx.PublishToChannel("alpha", "a1"); err != nil {
+		return ag.Command{}, err
+	}
+	return ag.Command{
+		Update: state,
+		Goto: []ag.Send{
+			{Node: w.waitAllOfTwoChannelsNode, NodeInput: nil},
+		},
+	}, nil
+}
+
+func (w *primitiveWorkflow) waitAllOfTwoChannelsNode(ctx *ag.Context, _ any, state primitiveState) (ag.Command, error) {
+	result, err := ctx.WaitFor(ag.AllOf(
+		ag.ChannelCondition{Channel: "alpha"},
+		ag.ChannelCondition{Channel: "beta"},
+	))
+	if err != nil {
+		return ag.Command{}, err
+	}
+	if len(result.Conditions) != 2 {
+		return ag.Command{}, fmt.Errorf("expected 2 condition results, got %d", len(result.Conditions))
+	}
+	if !result.Conditions[0].Met || result.Conditions[0].ChannelName != "alpha" || len(result.Conditions[0].Values) != 1 || result.Conditions[0].Values[0] != "a1" {
+		return ag.Command{}, fmt.Errorf("unexpected alpha condition result: %#v", result.Conditions[0])
+	}
+	if !result.Conditions[1].Met || result.Conditions[1].ChannelName != "beta" || len(result.Conditions[1].Values) != 1 || result.Conditions[1].Values[0] != "b1" {
+		return ag.Command{}, fmt.Errorf("unexpected beta condition result: %#v", result.Conditions[1])
+	}
+	state.Count = 2
+	state.Logs = []string{"all_of_channels_ok"}
+	state.Done = "ok"
+	return ag.Command{Update: state}, nil
+}
+
+func TestAllOfWaitsUntilAllChannelsAreReady(t *testing.T) {
+	workflow := &primitiveWorkflow{}
+	graph := ag.NewAdvancedStateGraph[primitiveState]()
+	graph.AddAsyncChannel("alpha")
+	graph.AddAsyncChannel("beta")
+	graph.AddEntryNode(workflow.startAllOfTwoChannelsNode)
+	graph.AddFinishNode(workflow.waitAllOfTwoChannelsNode)
+
+	handler, err := graph.Compile().Start(nil, primitiveState{
+		Count: 0,
+		Logs:  []string{},
+		Done:  "",
+	})
+	if err != nil {
+		t.Fatalf("start failed: %v", err)
+	}
+	if err := handler.PublishToChannel("beta", "b1"); err != nil {
+		t.Fatalf("publish beta failed: %v", err)
+	}
+
+	result, err := handler.WaitForResult()
+	if err != nil {
+		t.Fatalf("result failed: %v", err)
+	}
+	if result.Count != 2 {
+		t.Fatalf("unexpected count: %v", result.Count)
+	}
+	if len(result.Logs) != 1 || result.Logs[0] != "all_of_channels_ok" {
+		t.Fatalf("unexpected logs: %#v", result.Logs)
+	}
+	if result.Done != "ok" {
+		t.Fatalf("unexpected done: %v", result.Done)
+	}
+}
+
+func (w *primitiveWorkflow) startAllOfChannelTimerNode(ctx *ag.Context, _ any, state primitiveState) (ag.Command, error) {
+	if err := ctx.PublishToChannel("alpha", "a1"); err != nil {
+		return ag.Command{}, err
+	}
+	return ag.Command{
+		Update: state,
+		Goto: []ag.Send{
+			{Node: w.waitAllOfChannelTimerNode, NodeInput: nil},
+		},
+	}, nil
+}
+
+func (w *primitiveWorkflow) waitAllOfChannelTimerNode(ctx *ag.Context, _ any, state primitiveState) (ag.Command, error) {
+	result, err := ctx.WaitFor(ag.AllOf(
+		ag.ChannelCondition{Channel: "alpha"},
+		ag.TimerCondition{Seconds: 0.05},
+	))
+	if err != nil {
+		return ag.Command{}, err
+	}
+	if len(result.Conditions) != 2 {
+		return ag.Command{}, fmt.Errorf("expected 2 condition results, got %d", len(result.Conditions))
+	}
+	if !result.Conditions[0].Met || result.Conditions[0].ChannelName != "alpha" || len(result.Conditions[0].Values) != 1 || result.Conditions[0].Values[0] != "a1" {
+		return ag.Command{}, fmt.Errorf("unexpected channel condition result: %#v", result.Conditions[0])
+	}
+	if !result.Conditions[1].Met {
+		return ag.Command{}, fmt.Errorf("timer condition should be met: %#v", result.Conditions[1])
+	}
+	state.Count = 1
+	state.Logs = []string{"all_of_channel_timer_ok"}
+	state.Done = "ok"
+	return ag.Command{Update: state}, nil
+}
+
+func TestAllOfChannelAndTimerMarksBothConditions(t *testing.T) {
+	workflow := &primitiveWorkflow{}
+	graph := ag.NewAdvancedStateGraph[primitiveState]()
+	graph.AddAsyncChannel("alpha")
+	graph.AddEntryNode(workflow.startAllOfChannelTimerNode)
+	graph.AddFinishNode(workflow.waitAllOfChannelTimerNode)
+
+	handler, err := graph.Compile().Start(nil, primitiveState{
+		Count: 0,
+		Logs:  []string{},
+		Done:  "",
+	})
+	if err != nil {
+		t.Fatalf("start failed: %v", err)
+	}
+
+	result, err := handler.WaitForResult()
+	if err != nil {
+		t.Fatalf("result failed: %v", err)
+	}
+	if result.Count != 1 {
+		t.Fatalf("unexpected count: %v", result.Count)
+	}
+	if len(result.Logs) != 1 || result.Logs[0] != "all_of_channel_timer_ok" {
+		t.Fatalf("unexpected logs: %#v", result.Logs)
+	}
+	if result.Done != "ok" {
+		t.Fatalf("unexpected done: %v", result.Done)
+	}
+}
+
+func (w *primitiveWorkflow) startResumeFlagNode(ctx *ag.Context, _ any, state primitiveState) (ag.Command, error) {
+	state.Logs = []string{}
+	state.Count = 0
+	return ag.Command{
+		Update: state,
+		Goto: []ag.Send{
+			{Node: w.resumeFlagNode, NodeInput: nil},
+		},
+	}, nil
+}
+
+func (w *primitiveWorkflow) resumeFlagNode(ctx *ag.Context, _ any, state primitiveState) (ag.Command, error) {
+	if !ctx.IsResume() {
+		// Simulate one-time side effect (e.g. DB write).
+		w.dbWriteCount += 1
+	}
+	if _, err := ctx.WaitFor(ag.AnyOf(ag.TimerCondition{Seconds: 0.02})); err != nil {
+		return ag.Command{}, err
+	}
+	state.Logs = append(state.Logs, fmt.Sprintf("resume=%v", ctx.IsResume()))
+	return ag.Command{
+		Update: state,
+		Goto: []ag.Send{
+			{Node: w.finishResumeFlagNode, NodeInput: nil},
+		},
+	}, nil
+}
+
+func (w *primitiveWorkflow) finishResumeFlagNode(_ *ag.Context, _ any, state primitiveState) (ag.Command, error) {
+	state.Done = "ok"
+	return ag.Command{Update: state}, nil
+}
+
+func TestIsResumeAvoidsDuplicateSideEffects(t *testing.T) {
+	workflow := &primitiveWorkflow{}
+	graph := ag.NewAdvancedStateGraph[primitiveState]()
+	graph.AddEntryNode(workflow.startResumeFlagNode)
+	graph.AddNode(workflow.resumeFlagNode)
+	graph.AddFinishNode(workflow.finishResumeFlagNode)
+
+	handler, err := graph.Compile().Start(nil, primitiveState{
+		Count: 0,
+		Logs:  []string{},
+		Done:  "",
+	})
+	if err != nil {
+		t.Fatalf("start failed: %v", err)
+	}
+
+	result, err := handler.WaitForResult()
+	if err != nil {
+		t.Fatalf("result failed: %v", err)
+	}
+	if workflow.dbWriteCount != 1 {
+		t.Fatalf("db write should happen once, got=%v", workflow.dbWriteCount)
+	}
+	if len(result.Logs) != 1 || result.Logs[0] != "resume=true" {
+		t.Fatalf("unexpected logs: %#v", result.Logs)
+	}
+	if result.Done != "ok" {
+		t.Fatalf("unexpected done: %v", result.Done)
+	}
+}
+
+func (w *primitiveWorkflow) startLockedWorkersNode(_ *ag.Context, _ any, state primitiveState) (ag.Command, error) {
+	w.intervalMu.Lock()
+	w.intervals = map[string][2]time.Time{}
+	w.intervalMu.Unlock()
+	return ag.Command{
+		Update: state,
+		Goto: []ag.Send{
+			{Node: w.lockedWorkerANode, NodeInput: nil},
+			{Node: w.lockedWorkerBNode, NodeInput: nil},
+			{Node: w.waitLockedWorkersNode, NodeInput: nil},
+		},
+	}, nil
+}
+
+func (w *primitiveWorkflow) lockedWorkerANode(ctx *ag.Context, _ any, state primitiveState) (ag.Command, error) {
+	start := time.Now()
+	time.Sleep(40 * time.Millisecond)
+	end := time.Now()
+	w.intervalMu.Lock()
+	w.intervals["a"] = [2]time.Time{start, end}
+	w.intervalMu.Unlock()
+	if err := ctx.PublishToChannel("done", "a"); err != nil {
+		return ag.Command{}, err
+	}
+	return ag.Command{Update: state}, nil
+}
+
+func (w *primitiveWorkflow) lockedWorkerBNode(ctx *ag.Context, _ any, state primitiveState) (ag.Command, error) {
+	start := time.Now()
+	time.Sleep(40 * time.Millisecond)
+	end := time.Now()
+	w.intervalMu.Lock()
+	w.intervals["b"] = [2]time.Time{start, end}
+	w.intervalMu.Unlock()
+	if err := ctx.PublishToChannel("done", "b"); err != nil {
+		return ag.Command{}, err
+	}
+	return ag.Command{Update: state}, nil
+}
+
+func (w *primitiveWorkflow) waitLockedWorkersNode(ctx *ag.Context, _ any, state primitiveState) (ag.Command, error) {
+	if _, err := ctx.WaitFor(ag.AnyOf(ag.ChannelCondition{Channel: "done", Min: 2})); err != nil {
+		return ag.Command{}, err
+	}
+	return ag.Command{
+		Update: state,
+		Goto:   []ag.Send{{Node: w.finishResumeFlagNode, NodeInput: nil}},
+	}, nil
+}
+
+func TestStateFieldLockingSerializesConflictingNodes(t *testing.T) {
+	workflow := &primitiveWorkflow{}
+	graph := ag.NewAdvancedStateGraph[primitiveState]()
+	graph.AddAsyncChannel("done")
+	graph.AddEntryNode(workflow.startLockedWorkersNode)
+	graph.AddNode(
+		workflow.lockedWorkerANode,
+		ag.NodeStateOption{LockedFields: []string{"counter"}},
+	)
+	graph.AddNode(
+		workflow.lockedWorkerBNode,
+		ag.NodeStateOption{LockedFields: []string{"counter"}},
+	)
+	graph.AddNode(workflow.waitLockedWorkersNode)
+	graph.AddFinishNode(workflow.finishResumeFlagNode)
+
+	handler, err := graph.Compile().Start(nil, primitiveState{
+		Count: 0,
+		Logs:  []string{},
+		Done:  "",
+	})
+	if err != nil {
+		t.Fatalf("start failed: %v", err)
+	}
+	if _, err := handler.WaitForResult(); err != nil {
+		t.Fatalf("result failed: %v", err)
+	}
+
+	workflow.intervalMu.Lock()
+	ia, okA := workflow.intervals["a"]
+	ib, okB := workflow.intervals["b"]
+	workflow.intervalMu.Unlock()
+	if !okA || !okB {
+		t.Fatalf("missing worker intervals: %#v", workflow.intervals)
+	}
+	serialized := !ia[1].After(ib[0]) || !ib[1].After(ia[0])
+	if !serialized {
+		t.Fatalf("expected serialized execution, got overlap: a=%v..%v b=%v..%v", ia[0], ia[1], ib[0], ib[1])
+	}
+}

langgraph-go/tests/test_state_type_validation_test.go

@@ -0,0 +1,54 @@
+package tests
+
+import (
+	"strings"
+	"testing"
+
+	ag "github.com/langchain-ai/langgraph/langgraph-go/advancedgraph"
+)
+
+func TestNewAdvancedStateGraphRejectsNonStructState(t *testing.T) {
+	defer func() {
+		if r := recover(); r == nil {
+			t.Fatalf("expected panic for non-struct StateT")
+		}
+	}()
+	_ = ag.NewAdvancedStateGraph[map[string]any]()
+}
+
+type stateTypeA struct {
+	X int `json:"x"`
+}
+
+type stateTypeB struct {
+	X int `json:"x"`
+}
+
+type wrongUpdateWorkflow struct{}
+
+func (w *wrongUpdateWorkflow) startNode(ctx *ag.Context, _ any, _ stateTypeA) (ag.Command, error) {
+	return ag.Command{Goto: []ag.Send{{Node: w.badNode}}}, nil
+}
+
+func (w *wrongUpdateWorkflow) badNode(ctx *ag.Context, _ any, _ stateTypeA) (ag.Command, error) {
+	return ag.Command{Update: stateTypeB{X: 1}}, nil
+}
+
+func TestNodeUpdateTypeMustMatchGraphStateType(t *testing.T) {
+	workflow := &wrongUpdateWorkflow{}
+	graph := ag.NewAdvancedStateGraph[stateTypeA]()
+	graph.AddEntryNode(workflow.startNode)
+	graph.AddFinishNode(workflow.badNode)
+
+	handler, err := graph.Compile().Start(nil, stateTypeA{X: 0})
+	if err != nil {
+		t.Fatalf("start failed: %v", err)
+	}
+	_, err = handler.WaitForResult()
+	if err == nil {
+		t.Fatalf("expected runtime error for wrong update type")
+	}
+	if !strings.Contains(err.Error(), "update type mismatch") {
+		t.Fatalf("unexpected error: %v", err)
+	}
+}

langgraph-go/tests/test_streaming_test.go

@@ -0,0 +1,117 @@
+package tests
+
+import (
+	"strings"
+	"testing"
+	"time"
+
+	ag "github.com/langchain-ai/langgraph/langgraph-go/advancedgraph"
+)
+
+type streamState struct {
+	Done bool `json:"done"`
+}
+
+type streamWorkflow struct{}
+
+func (w *streamWorkflow) startNode(ctx *ag.Context, _ any, state streamState) (ag.Command, error) {
+	if err := ctx.SendCustomStreamEvent("high", map[string]any{"step": "start", "value": 1}); err != nil {
+		return ag.Command{}, err
+	}
+	time.Sleep(80 * time.Millisecond)
+	if err := ctx.SendCustomStreamEvent("regular", map[string]any{"step": "start", "value": 2}); err != nil {
+		return ag.Command{}, err
+	}
+	return ag.Command{
+		Update: state,
+		Goto: []ag.Send{
+			{Node: w.finishNode},
+		},
+	}, nil
+}
+
+func (w *streamWorkflow) finishNode(ctx *ag.Context, _ any, state streamState) (ag.Command, error) {
+	state.Done = true
+	return ag.Command{Update: state}, nil
+}
+
+func TestCustomStreamReceiveAndClose(t *testing.T) {
+	workflow := &streamWorkflow{}
+	graph := ag.NewAdvancedStateGraph[streamState]()
+	graph.AddCustomOutputStream("high")
+	graph.AddCustomOutputStream("regular")
+	graph.AddEntryNode(workflow.startNode)
+	graph.AddFinishNode(workflow.finishNode)
+
+	handler, err := graph.Compile().Start(nil, streamState{Done: false}, "custom")
+	if err != nil {
+		t.Fatalf("start failed: %v", err)
+	}
+
+	event, err := handler.ReceiveStream("high")
+	if err != nil {
+		t.Fatalf("receive stream failed: %v", err)
+	}
+	if event == nil {
+		t.Fatalf("expected first stream event, got nil")
+	}
+	eventMap, ok := event.(map[string]any)
+	if !ok {
+		t.Fatalf("unexpected event type: %T", event)
+	}
+	if eventMap["step"] != "start" {
+		t.Fatalf("unexpected stream event payload: %#v", eventMap)
+	}
+
+	eventRegular, err := handler.ReceiveStream("regular")
+	if err != nil {
+		t.Fatalf("receive regular stream failed: %v", err)
+	}
+	eventRegularMap, ok := eventRegular.(map[string]any)
+	if !ok {
+		t.Fatalf("unexpected regular event type: %T", eventRegular)
+	}
+	if eventRegularMap["value"] != float64(2) {
+		t.Fatalf("unexpected regular stream payload: %#v", eventRegularMap)
+	}
+
+	if err := handler.CloseAllStreams(); err != nil {
+		t.Fatalf("close all streams failed: %v", err)
+	}
+
+	closedEvent, err := handler.ReceiveStream("high")
+	if err != nil {
+		t.Fatalf("receive stream after close failed: %v", err)
+	}
+	if closedEvent != nil {
+		t.Fatalf("expected nil stream event after close, got %#v", closedEvent)
+	}
+
+	result, err := handler.WaitForResult()
+	if err != nil {
+		t.Fatalf("result failed: %v", err)
+	}
+	if !result.Done {
+		t.Fatalf("expected final state done=true, got %#v", result)
+	}
+}
+
+func TestOnlyCustomStreamModeSupported(t *testing.T) {
+	workflow := &streamWorkflow{}
+	graph := ag.NewAdvancedStateGraph[streamState]()
+	graph.AddCustomOutputStream("regular")
+	graph.AddEntryNode(workflow.startNode)
+	graph.AddFinishNode(workflow.finishNode)
+
+	handler, err := graph.Compile().Start(nil, streamState{Done: false}, "values")
+	if err != nil {
+		t.Fatalf("start failed: %v", err)
+	}
+	_, runErr := handler.WaitForResult()
+	if runErr == nil {
+		t.Fatalf("expected run error for unsupported stream mode")
+	}
+	if !strings.Contains(runErr.Error(), "only `custom` is supported") {
+		t.Fatalf("unexpected error: %v", runErr)
+	}
+}

langgraph-go/tests/test_update_elision_test.go

@@ -0,0 +1,135 @@
+package tests
+
+import (
+	"reflect"
+	"testing"
+	"time"
+
+	ag "github.com/langchain-ai/langgraph/langgraph-go/advancedgraph"
+)
+
+type updateElisionState struct {
+	X  int             `json:"x"`
+	S  updateStruct    `json:"s"`
+	M  map[string]int  `json:"m"`
+	L  []int           `json:"l"`
+	PS *updateStruct   `json:"ps"`
+	PM *map[string]int `json:"pm"`
+	PL *[]int          `json:"pl"`
+}
+
+type updateStruct struct {
+	V int `json:"v"`
+}
+
+type updateElisionWorkflow struct{}
+
+func makeState(v int) updateElisionState {
+	m := map[string]int{"n": v}
+	l := []int{v}
+	return updateElisionState{
+		X:  v,
+		S:  updateStruct{V: v},
+		M:  map[string]int{"n": v},
+		L:  []int{v},
+		PS: &updateStruct{V: v},
+		PM: &m,
+		PL: &l,
+	}
+}
+
+func (w *updateElisionWorkflow) startNoopNode(ctx *ag.Context, _ any, _ updateElisionState) (ag.Command, error) {
+	return ag.Command{
+		Goto: []ag.Send{
+			{Node: w.fastNode},
+			{Node: w.slowNoopNode},
+		},
+	}, nil
+}
+
+func (w *updateElisionWorkflow) startChangedNode(ctx *ag.Context, _ any, _ updateElisionState) (ag.Command, error) {
+	return ag.Command{
+		Goto: []ag.Send{
+			{Node: w.fastNode},
+			{Node: w.slowChangedNode},
+		},
+	}, nil
+}
+
+func (w *updateElisionWorkflow) fastNode(ctx *ag.Context, _ any, state updateElisionState) (ag.Command, error) {
+	_ = state
+	return ag.Command{Update: makeState(1)}, nil
+}
+
+func (w *updateElisionWorkflow) slowNoopNode(ctx *ag.Context, _ any, state updateElisionState) (ag.Command, error) {
+	time.Sleep(100 * time.Millisecond)
+	// Returns same state as initial snapshot; without runtime elision this can overwrite newer updates.
+	return ag.Command{Update: state}, nil
+}
+
+func (w *updateElisionWorkflow) slowChangedNode(ctx *ag.Context, _ any, _ updateElisionState) (ag.Command, error) {
+	time.Sleep(100 * time.Millisecond)
+	// Real change should not be elided.
+	return ag.Command{Update: makeState(2)}, nil
+}
+
+func assertStateEquals(t *testing.T, got updateElisionState, expected updateElisionState) {
+	t.Helper()
+	if got.X != expected.X {
+		t.Fatalf("unexpected X: got=%d want=%d", got.X, expected.X)
+	}
+	if got.S != expected.S {
+		t.Fatalf("unexpected S: got=%#v want=%#v", got.S, expected.S)
+	}
+	if !reflect.DeepEqual(got.M, expected.M) {
+		t.Fatalf("unexpected M: got=%#v want=%#v", got.M, expected.M)
+	}
+	if !reflect.DeepEqual(got.L, expected.L) {
+		t.Fatalf("unexpected L: got=%#v want=%#v", got.L, expected.L)
+	}
+	if got.PS == nil || expected.PS == nil || *got.PS != *expected.PS {
+		t.Fatalf("unexpected PS: got=%#v want=%#v", got.PS, expected.PS)
+	}
+	if got.PM == nil || expected.PM == nil || !reflect.DeepEqual(*got.PM, *expected.PM) {
+		t.Fatalf("unexpected PM: got=%#v want=%#v", got.PM, expected.PM)
+	}
+	if got.PL == nil || expected.PL == nil || !reflect.DeepEqual(*got.PL, *expected.PL) {
+		t.Fatalf("unexpected PL: got=%#v want=%#v", got.PL, expected.PL)
+	}
+}
+
+func TestNoopSlowUpdateCanOverrideFastUpdate(t *testing.T) {
+	workflow := &updateElisionWorkflow{}
+	graph := ag.NewAdvancedStateGraph[updateElisionState]()
+	graph.AddEntryNode(workflow.startNoopNode)
+	graph.AddNode(workflow.fastNode)
+	graph.AddFinishNode(workflow.slowNoopNode)
+
+	handler, err := graph.Compile().Start(nil, makeState(0))
+	if err != nil {
+		t.Fatalf("start failed: %v", err)
+	}
+	result, err := handler.WaitForResult()
+	if err != nil {
+		t.Fatalf("result failed: %v", err)
+	}
+	assertStateEquals(t, result, makeState(0))
+}
+
+func TestChangedSlowUpdateOverridesFastUpdate(t *testing.T) {
+	workflow := &updateElisionWorkflow{}
+	graph := ag.NewAdvancedStateGraph[updateElisionState]()
+	graph.AddEntryNode(workflow.startChangedNode)
+	graph.AddNode(workflow.fastNode)
+	graph.AddFinishNode(workflow.slowChangedNode)
+
+	handler, err := graph.Compile().Start(nil, makeState(0))
+	if err != nil {
+		t.Fatalf("start failed: %v", err)
+	}
+	result, err := handler.WaitForResult()
+	if err != nil {
+		t.Fatalf("result failed: %v", err)
+	}
+	assertStateEquals(t, result, makeState(2))
+}

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

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

libs/checkpoint-conformance/uv.lock

@@ -250,15 +250,15 @@ wheels = [
 
 [[package]]
 name = "langgraph-checkpoint"
-version = "4.0.1"
+version = "4.0.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "langchain-core" },
     { name = "ormsgpack" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/b1/44/a8df45d1e8b4637e29789fa8bae1db022c953cc7ac80093cfc52e923547e/langgraph_checkpoint-4.0.1.tar.gz", hash = "sha256:b433123735df11ade28829e40ce25b9be614930cd50245ff2af60629234befd9", size = 158135, upload-time = "2026-02-27T21:06:16.092Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/98/76/55a18c59dedf39688d72c4b06af73a5e3ea0d1a01bc867b88fbf0659f203/langgraph_checkpoint-4.0.0.tar.gz", hash = "sha256:814d1bd050fac029476558d8e68d87bce9009a0262d04a2c14b918255954a624", size = 137320, upload-time = "2026-01-12T20:30:26.38Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/65/4c/09a4a0c42f5d2fc38d6c4d67884788eff7fd2cfdf367fdf7033de908b4c0/langgraph_checkpoint-4.0.1-py3-none-any.whl", hash = "sha256:e3adcd7a0e0166f3b48b8cf508ce0ea366e7420b5a73aa81289888727769b034", size = 50453, upload-time = "2026-02-27T21:06:14.293Z" },
+    { url = "https://files.pythonhosted.org/packages/4a/de/ddd53b7032e623f3c7bcdab2b44e8bf635e468f62e10e5ff1946f62c9356/langgraph_checkpoint-4.0.0-py3-none-any.whl", hash = "sha256:3fa9b2635a7c5ac28b338f631abf6a030c3b508b7b9ce17c22611513b589c784", size = 46329, upload-time = "2026-01-12T20:30:25.2Z" },
 ]
 
 [[package]]
@@ -746,27 +746,27 @@ wheels = [
 
 [[package]]
 name = "ruff"
-version = "0.15.6"
+version = "0.15.2"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/51/df/f8629c19c5318601d3121e230f74cbee7a3732339c52b21daa2b82ef9c7d/ruff-0.15.6.tar.gz", hash = "sha256:8394c7bb153a4e3811a4ecdacd4a8e6a4fa8097028119160dffecdcdf9b56ae4", size = 4597916, upload-time = "2026-03-12T23:05:47.51Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/06/04/eab13a954e763b0606f460443fcbf6bb5a0faf06890ea3754ff16523dce5/ruff-0.15.2.tar.gz", hash = "sha256:14b965afee0969e68bb871eba625343b8673375f457af4abe98553e8bbb98342", size = 4558148, upload-time = "2026-02-19T22:32:20.271Z" }
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 ]
 
 [[package]]

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

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

libs/checkpoint-postgres/pyproject.toml

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

libs/checkpoint-postgres/tests/test_async_store.py

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

libs/checkpoint-postgres/uv.lock

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

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

@@ -328,9 +328,6 @@ async def _run(
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 ) -> None:
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-        # don't run batch if the future is done (e.g. cancelled)
-        if item[0].done():
-            continue
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         if s := store():
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@@ -338,9 +335,6 @@ async def _run(
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-                        # don't insert if the future is done (e.g. cancelled)
-                        if item[0].done():
-                            continue
                         items.append(item)
                 except asyncio.QueueEmpty:
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 ]
 
 [[package]]

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

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

libs/cli/examples/graph_prerelease_reqs/pyproject.toml

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

libs/cli/examples/graph_prerelease_reqs_fail/pyproject.toml

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

libs/cli/js-examples/package.json

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

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

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

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

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

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

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

libs/cli/langgraph_cli/__init__.py

@@ -1 +1 @@
-__version__ = "0.4.19"
+__version__ = "0.4.15"

libs/cli/langgraph_cli/cli.py

@@ -13,7 +13,6 @@ import tempfile
 import time
 from collections.abc import Callable, Sequence
 from contextlib import contextmanager
-from datetime import datetime, timezone
 
 import click
 import click.exceptions
@@ -27,15 +26,10 @@ from langgraph_cli.config import Config
 from langgraph_cli.constants import DEFAULT_CONFIG, DEFAULT_PORT
 from langgraph_cli.docker import DockerCapabilities
 from langgraph_cli.exec import Runner, subp_exec
-from langgraph_cli.helpers import format_log_entry, level_fg, resolve_deployment_id
 from langgraph_cli.host_backend import HostBackendClient, HostBackendError
 from langgraph_cli.progress import Progress
 from langgraph_cli.templates import TEMPLATE_HELP_STRING, create_new
-from langgraph_cli.util import (
-    format_deployments_table,
-    format_revisions_table,
-    warn_non_wolfi_distro,
-)
+from langgraph_cli.util import warn_non_wolfi_distro
 from langgraph_cli.version import __version__
 
 RESERVED_ENV_VARS = frozenset(
@@ -293,33 +287,6 @@ OPT_API_VERSION = click.option(
     help="API server version to use for the base image. If unspecified, the latest version will be used.",
 )
 
-OPT_HOST_API_KEY = click.option(
-    "--api-key",
-    envvar="LANGGRAPH_HOST_API_KEY",
-    help=(
-        "API key. Can also be set via LANGGRAPH_HOST_API_KEY, "
-        "LANGSMITH_API_KEY, or LANGCHAIN_API_KEY environment variable or .env file."
-    ),
-)
-
-
-OPT_HOST_DEPLOYMENT_NAME = click.option(
-    "--name",
-    envvar=_DEPLOYMENT_NAME_ENV,
-    help=(
-        "Deployment name. Can also be set via LANGSMITH_DEPLOYMENT_NAME "
-        "environment variable or .env file. Defaults to current directory name "
-        "if --deployment-id is not provided."
-    ),
-)
-
-OPT_HOST_URL = click.option(
-    "--host-url",
-    envvar="LANGGRAPH_HOST_URL",
-    default="https://api.host.langchain.com",
-    hidden=True,
-)
-
 OPT_ENGINE_RUNTIME_MODE = click.option(
     "--engine-runtime-mode",
     type=click.Choice(["combined_queue_worker", "distributed"]),
@@ -328,84 +295,7 @@ OPT_ENGINE_RUNTIME_MODE = click.option(
 )
 
 
-class NestedHelpGroup(click.Group):
-    """Click group that shows one level of nested subcommands in top-level help."""
-
-    def format_commands(
-        self, ctx: click.Context, formatter: click.HelpFormatter
-    ) -> None:
-        command_entries: list[tuple[str, click.Command]] = []
-
-        def collect_commands(
-            group: click.Group, parent_ctx: click.Context, prefix: str = ""
-        ) -> None:
-            for command_name in group.list_commands(parent_ctx):
-                command = group.get_command(parent_ctx, command_name)
-                if command is None or command.hidden:
-                    continue
-                qualified_name = f"{prefix} {command_name}" if prefix else command_name
-                command_entries.append((qualified_name, command))
-                if isinstance(command, click.Group):
-                    sub_ctx = click.Context(
-                        command,
-                        info_name=qualified_name,
-                        parent=parent_ctx,
-                    )
-                    collect_commands(command, sub_ctx, qualified_name)
-
-        collect_commands(self, ctx)
-
-        # Compute the available width for help text up front so we can truncate
-        # descriptions before handing them to Click. That keeps each command on
-        # a single line instead of allowing wrapped descriptions.
-        command_width = max((len(name) for name, _ in command_entries), default=0)
-        help_width = max(formatter.width - command_width - 6, 10)
-        rows = [
-            (name, command.get_short_help_str(help_width))
-            for name, command in command_entries
-        ]
-
-        if rows:
-            # Render the flattened command list using Click's standard
-            # definition-list formatter so alignment stays consistent with the
-            # rest of the CLI help output.
-            with formatter.section("Commands"):
-                formatter.write_dl(rows)
-
-
-class DeployGroup(NestedHelpGroup):
-    """Group that treats leading '-' args as passthrough docker flags."""
-
-    def parse_args(self, ctx: click.Context, args: list[str]) -> list[str]:
-        """Treat leading option-like subcommand tokens as passthrough args.
-
-        Click stores the unresolved nested command token on the context after
-        ``Group.parse_args()`` runs, but the backing attribute changed across
-        supported Click versions. Click 8.1.x stores the value directly on
-        ``protected_args``, while Click 8.2+ stores it on ``_protected_args``
-        and exposes ``protected_args`` as a deprecated compatibility property.
-        Since this package allows ``click>=8.1.7``, we need to check both
-        names to support the full version range without relying on one
-        version-specific internal detail.
-        """
-        result = super().parse_args(ctx, args)
-        protected_args = ctx.__dict__.get("protected_args")
-        if protected_args is None:
-            protected_args = ctx.__dict__.get("_protected_args", [])
-        if protected_args and protected_args[0].startswith("-"):
-            # Click stores the would-be subcommand in _protected_args; if it looks
-            # like an option (e.g. --build-arg) treat it as passthrough docker
-            # args instead of insisting on a nested command.
-            ctx.args = [*protected_args, *ctx.args]
-            if "protected_args" in ctx.__dict__:
-                ctx.protected_args = []
-            elif "_protected_args" in ctx.__dict__:
-                ctx._protected_args = []
-            return ctx.args
-        return result
-
-
-@click.group(cls=NestedHelpGroup)
+@click.group()
 @click.version_option(version=__version__, prog_name="LangGraph CLI")
 def cli():
     pass
@@ -703,122 +593,84 @@ def build(
         )
 
 
-def _deploy_base_options(
-    func: Callable | None = None,
-    *,
-    include_docker_args: bool = True,
-    validate_config_path: bool = True,
-):
-    """Apply shared deploy flags.
-
-    The group shares most options but should not consume subcommands, so the
-    docker build args are only attached when requested.
-    """
-
-    def _apply(target: Callable) -> Callable:
-        decorators = [
-            OPT_HOST_API_KEY,
-            OPT_HOST_DEPLOYMENT_NAME,
-            click.option(
-                "--deployment-id",
-                help=(
-                    "ID of an existing deployment to update. If omitted, "
-                    "--name is used to find or create the deployment."
-                ),
-            ),
-            click.option(
-                "--deployment-type",
-                type=click.Choice(["dev", "prod"]),
-                default="dev",
-                show_default=True,
-                help="Deployment type (used when creating a new deployment).",
-            ),
-            click.option(
-                "--no-wait",
-                is_flag=True,
-                default=False,
-                help="Skip waiting for deployment status.",
-            ),
-            OPT_VERBOSE,
-            OPT_HOST_URL,
-            click.option("--image-name", hidden=True),
-            click.option(
-                "--tag",
-                "-t",
-                default="latest",
-                show_default=True,
-                help="Tag to use for the pushed deployment image.",
-            ),
-            click.option(
-                "--config",
-                "-c",
-                default=DEFAULT_CONFIG,
-                hidden=True,
-                type=click.Path(
-                    exists=validate_config_path,
-                    file_okay=True,
-                    dir_okay=False,
-                    resolve_path=True,
-                    path_type=pathlib.Path,
-                ),
-            ),
-            click.option("--pull/--no-pull", default=True, hidden=True),
-            click.option("--base-image", hidden=True),
-            click.option("--install-command", hidden=True),
-            click.option("--build-command", hidden=True),
-            click.option("--api-version", type=str, hidden=True),
-        ]
-        if include_docker_args:
-            # Only attach build args to the default command; on the group they
-            # would capture subcommand names like `list` before Click resolves
-            # them, making those subcommands unreachable.
-            decorators.append(
-                click.argument("docker_build_args", nargs=-1, type=click.UNPROCESSED)
-            )
-        for decorator in reversed(decorators):
-            target = decorator(target)
-        return target
-
-    return _apply(func) if func is not None else _apply
-
-
-@cli.group(
-    cls=DeployGroup,
+@click.option(
+    "--api-key",
+    envvar="LANGGRAPH_HOST_API_KEY",
     help=(
-        "[Beta] Build and deploy a LangGraph image to LangSmith Deployment.\n\n"
+        "API key. Can also be set via LANGGRAPH_HOST_API_KEY, "
+        "LANGSMITH_API_KEY, or LANGCHAIN_API_KEY environment variable or .env file."
+    ),
+)
+@click.option(
+    "--name",
+    envvar="LANGSMITH_DEPLOYMENT_NAME",
+    help=(
+        "Deployment name. Can also be set via LANGSMITH_DEPLOYMENT_NAME "
+        "environment variable or .env file. Defaults to current directory name "
+        "if --deployment-id is not provided."
+    ),
+)
+@click.option(
+    "--deployment-id",
+    help=(
+        "ID of an existing deployment to update. If omitted, "
+        "--name is used to find or create the deployment."
+    ),
+)
+@click.option(
+    "--deployment-type",
+    type=click.Choice(["dev", "prod"]),
+    default="dev",
+    show_default=True,
+    help="Deployment type (used when creating a new deployment).",
+)
+@click.option(
+    "--no-wait",
+    is_flag=True,
+    default=False,
+    help="Skip waiting for deployment status.",
+)
+@OPT_VERBOSE
+@click.option(
+    "--host-url",
+    envvar="LANGGRAPH_HOST_URL",
+    default="https://api.host.langchain.com",
+    hidden=True,
+)
+@click.option("--image-name", hidden=True)
+@click.option("--image-tag", default="latest", hidden=True)
+@click.option(
+    "--config",
+    "-c",
+    default=DEFAULT_CONFIG,
+    hidden=True,
+    type=click.Path(
+        exists=True,
+        file_okay=True,
+        dir_okay=False,
+        resolve_path=True,
+        path_type=pathlib.Path,
+    ),
+)
+@click.option("--pull/--no-pull", default=True, hidden=True)
+@click.option("--base-image", hidden=True)
+@click.option("--install-command", hidden=True)
+@click.option("--build-command", hidden=True)
+@click.option("--api-version", type=str, hidden=True)
+@click.argument("docker_build_args", nargs=-1, type=click.UNPROCESSED)
+@cli.command(
+    help=(
+        "[Beta] Build and deploy a LangGraph image to LangSmith Deployments.\n\n"
         "This command is in beta and under active development. "
         "Expect frequent updates and improvements.\n\n"
         "Run from the root of your LangGraph project (where langgraph.json "
         "is located). This command also accepts build flags (--base-image, "
-        "--config, --pull, etc.). See 'langgraph build --help' for details."
+        "--pull, etc.). See 'langgraph build --help' for details."
     ),
-    context_settings=dict(ignore_unknown_options=True, allow_extra_args=True),
-    invoke_without_command=True,  # allow `deploy` click group to execute without command
+    context_settings=dict(ignore_unknown_options=True),
 )
-@_deploy_base_options(include_docker_args=False, validate_config_path=False)
-@click.pass_context
 @log_command
-def deploy(ctx: click.Context, **_: object):
-    # We register deploy as both a group and a command here.
-    # if we detect no subcommand, we run _deploy (basically run langgraph deploy as a top level command)
-    # otherwise, we return None here and click will proceed to actually run the subcommand (list or delete)
-    if ctx.invoked_subcommand is not None:
-        return
-    docker_build_args = tuple(ctx.args)
-    ctx.args = []  # Prevent Click from re-processing passthrough args later.
-    return ctx.forward(_deploy, docker_build_args=docker_build_args)
-
-
-@deploy.group(
-    "revisions", cls=NestedHelpGroup, help="[Beta] Manage deployment revisions."
-)
-def deploy_revisions() -> None:
-    pass
-
-
-@_deploy_base_options()
-@click.command(context_settings=dict(ignore_unknown_options=True))
-def _deploy(
+def deploy(
     config: pathlib.Path,
     pull: bool,
     verbose: bool,
@@ -829,7 +681,7 @@ def _deploy(
     deployment_type: str,
     name: str | None,
     image_name: str | None,
-    tag: str,
+    image_tag: str,
     base_image: str | None,
     install_command: str | None,
     build_command: str | None,
@@ -846,6 +698,15 @@ def _deploy(
 
     env_vars = _parse_env_from_config(config_json, config)
 
+    if not api_key:
+        for key_name in _API_KEY_ENV_NAMES:
+            val = env_vars.get(key_name) or os.environ.get(key_name)
+            if val:
+                api_key = val
+                break
+    if not api_key:
+        api_key = click.prompt("Host API key", hide_input=True)
+
     if not deployment_id and not name:
         name = env_vars.get(_DEPLOYMENT_NAME_ENV)
     if not deployment_id and not name:
@@ -882,21 +743,55 @@ def _deploy(
         def log_step(message: str) -> None:
             click.secho(message, fg="cyan")
 
-        client = _create_host_backend_client(host_url, api_key, env_vars=env_vars)
+        client = HostBackendClient(host_url, api_key)
         step = 1
         needs_creation = False
 
         if deployment_id:
             log_step(f"{step}. Using deployment {deployment_id}")
-            _call_host_backend_with_optional_tenant(
-                client, lambda c: c.get_deployment(deployment_id)
-            )
+            try:
+                client.get_deployment(deployment_id)
+            except HostBackendError as err:
+                if (
+                    err.status_code == 403
+                    and "requires workspace specification" in err.message
+                ):
+                    click.secho(
+                        "Your API key is org-scoped and requires a workspace ID.",
+                        fg="yellow",
+                    )
+                    click.secho(
+                        "Find your workspace ID in LangSmith under Settings > Workspaces.",
+                        fg="yellow",
+                    )
+                    tenant_id = click.prompt("Workspace ID")
+                    client = HostBackendClient(host_url, api_key, tenant_id=tenant_id)
+                    client.get_deployment(deployment_id)
+                else:
+                    raise
             step += 1
         else:
             log_step(f"{step}. Looking up deployment '{name}'")
-            existing = _call_host_backend_with_optional_tenant(
-                client, lambda c: c.list_deployments(name_contains=name)
-            )
+            try:
+                existing = client.list_deployments(name_contains=name)
+            except HostBackendError as err:
+                if (
+                    err.status_code == 403
+                    and "requires workspace specification" in err.message
+                ):
+                    click.secho(
+                        "Your API key is org-scoped and requires a workspace ID.",
+                        fg="yellow",
+                    )
+                    click.secho(
+                        "Find your workspace ID in LangSmith under Settings > Workspaces.",
+                        fg="yellow",
+                    )
+                    tenant_id = click.prompt("Workspace ID")
+                    client = HostBackendClient(host_url, api_key, tenant_id=tenant_id)
+                    existing = client.list_deployments(name_contains=name)
+                else:
+                    raise
             found_id = None
             if isinstance(existing, dict):
                 for dep in existing.get("resources", []):
@@ -1010,7 +905,7 @@ def _deploy(
             normalized_registry = normalized_registry.split("//", 1)[1]
         repo_seed = image_name or name or config.parent.name
         repo_name = _normalize_image_name(repo_seed)
-        tag_value = _normalize_image_tag(tag)
+        tag_value = _normalize_image_tag(image_tag)
         remote_image = f"{normalized_registry}/{repo_name}:{tag_value}"
 
         registry_host = normalized_registry.split("/")[0]
@@ -1150,180 +1045,11 @@ def _deploy(
                 )
             else:
                 click.secho(
-                    "   Check status in the LangSmith Deployment dashboard.",
+                    "   Check status in the LangSmith Deployments dashboard.",
                     fg="yellow",
                 )
 
 
-def _create_host_backend_client(
-    host_url: str | None,
-    api_key: str | None,
-    env_vars: dict[str, str] | None = None,
-) -> HostBackendClient:
-    if env_vars is None:
-        env_vars = _parse_env_from_config({}, pathlib.Path.cwd() / DEFAULT_CONFIG)
-    resolved_api_key = api_key
-    if not resolved_api_key:
-        for key_name in _API_KEY_ENV_NAMES:
-            val = env_vars.get(key_name)
-            if val:
-                resolved_api_key = val
-                break
-            val = os.environ.get(key_name)
-            if val:
-                resolved_api_key = val
-                break
-    if not resolved_api_key:
-        click.secho(
-            "No LangSmith API key found. Create one at Settings > API Keys in LangSmith.",
-            fg="yellow",
-        )
-        resolved_api_key = click.prompt("Enter LangSmith API key", hide_input=True)
-    return HostBackendClient(host_url, resolved_api_key)
-
-
-def _call_host_backend_with_optional_tenant(
-    client: HostBackendClient,
-    operation: Callable[[HostBackendClient], object],
-) -> object:
-    """Run *operation*, prompting for a workspace ID on org-scoped 403s.
-
-    On success the original *client* is returned as-is.  If the user is
-    prompted for a workspace ID, the tenant header is set on *client*
-    in-place so all subsequent calls through the same instance are
-    tenant-aware.
-    """
-    prompted_for_tenant = False
-
-    while True:
-        try:
-            return operation(client)
-        except HostBackendError as err:
-            if (
-                not prompted_for_tenant
-                and err.status_code == 403
-                and "requires workspace specification" in err.message
-            ):
-                click.secho(
-                    "Your API key is org-scoped and requires a workspace ID.",
-                    fg="yellow",
-                )
-                click.secho(
-                    "Find your workspace ID in LangSmith under Settings > Workspaces.",
-                    fg="yellow",
-                )
-                client._client.headers["X-Tenant-ID"] = click.prompt("Workspace ID")
-                prompted_for_tenant = True
-                continue
-            if err.status_code == 403 and "not enabled" in err.message.lower():
-                from urllib.parse import urlparse
-
-                smith_host = "smith.langchain.com"
-                parsed = urlparse(client._base_url)
-                if (parsed.hostname or "").startswith("eu."):
-                    smith_host = "eu.smith.langchain.com"
-                raise HostBackendError(
-                    "LangSmith Deployment is not enabled for this organization. "
-                    f"Enable it at https://{smith_host}/host/deployments"
-                    " (ensure this matches the organization for your API key).",
-                    status_code=403,
-                ) from None
-            raise
-
-
-@OPT_HOST_API_KEY
-@OPT_HOST_URL
-@click.option(
-    "--name-contains",
-    default="",
-    help="Only show deployments whose names contain this value.",
-)
-@deploy.command("list", help="[Beta] List LangSmith Deployments.")
-def deploy_list(api_key: str | None, host_url: str | None, name_contains: str) -> None:
-    client = _create_host_backend_client(host_url, api_key)
-    response = _call_host_backend_with_optional_tenant(
-        client,
-        lambda c: c.list_deployments(name_contains=name_contains),
-    )
-    resources = response.get("resources", []) if isinstance(response, dict) else []
-    deployments = [item for item in resources if isinstance(item, dict)]
-    if not deployments:
-        click.echo("No deployments found.")
-        return
-    click.echo(format_deployments_table(deployments))
-
-
-@OPT_HOST_API_KEY
-@OPT_HOST_URL
-@click.option(
-    "--limit",
-    type=int,
-    default=10,
-    show_default=True,
-    help="Maximum number of revisions to return.",
-)
-@click.argument("deployment_id")
-@deploy_revisions.command(
-    "list",
-    help=(
-        "[Beta] List revisions for a LangSmith Deployment.\n\n"
-        "Use the `deploy list` command to list deployment IDs."
-    ),
-)
-def deploy_revisions_list(
-    api_key: str | None, host_url: str | None, limit: int, deployment_id: str
-) -> None:
-    client = _create_host_backend_client(host_url, api_key)
-    response = _call_host_backend_with_optional_tenant(
-        client,
-        lambda c: c.list_revisions(deployment_id, limit=limit),
-    )
-    resources = response.get("resources", []) if isinstance(response, dict) else []
-    revisions = [item for item in resources if isinstance(item, dict)]
-    if not revisions:
-        click.echo(f"No revisions found for deployment {deployment_id}.")
-        return
-    click.echo(format_revisions_table(revisions))
-
-
-@OPT_HOST_API_KEY
-@OPT_HOST_URL
-@click.option(
-    "--force",
-    is_flag=True,
-    default=False,
-    help="Delete without prompting for confirmation.",
-)
-@click.argument("deployment_id")
-@deploy.command(
-    "delete",
-    help=(
-        "[Beta] Delete a LangSmith Deployment.\n\n"
-        "Use the `deploy list` command to list deployment IDs."
-    ),
-)
-def deploy_delete(
-    api_key: str | None, host_url: str | None, force: bool, deployment_id: str
-) -> None:
-    if not force:
-        response = click.prompt(
-            click.style(
-                f"Are you sure you want to delete deployment ID {deployment_id}? (Y/n)",
-                fg="yellow",
-            ),
-            default="Y",
-            show_default=False,
-        )
-        if response.strip().lower() not in {"y", "yes"}:
-            raise click.Abort()
-    client = _create_host_backend_client(host_url, api_key)
-    _call_host_backend_with_optional_tenant(
-        client,
-        lambda c: c.delete_deployment(deployment_id),
-    )
-    click.secho(f"Deleted deployment {deployment_id}.", fg="green")
-
-
 def _normalize_image_name(value: str | None) -> str:
     """Sanitize a deployment/directory name into a valid Docker repository name.
 
@@ -1350,180 +1076,6 @@ def _normalize_image_tag(value: str) -> str:
     return value
 
 
-@OPT_HOST_API_KEY
-@OPT_HOST_DEPLOYMENT_NAME
-@click.option(
-    "--deployment-id",
-    help="Deployment ID. If omitted, --name is used to find the deployment.",
-)
-@click.option(
-    "--type",
-    "log_type",
-    type=click.Choice(["deploy", "build"]),
-    default="deploy",
-    show_default=True,
-    help=(
-        "Log stream to fetch: 'deploy' shows agent server runtime logs; "
-        "'build' shows build logs (for deployments built remotely)."
-    ),
-)
-@click.option(
-    "--revision-id",
-    help="Specific revision ID. For build logs, defaults to latest revision.",
-)
-@click.option(
-    "--level",
-    type=click.Choice(
-        ["DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"], case_sensitive=False
-    ),
-    help="Filter by log level.",
-)
-@click.option(
-    "--limit",
-    type=int,
-    default=100,
-    show_default=True,
-    help="Max log entries to fetch.",
-)
-@click.option(
-    "--query",
-    "-q",
-    help="Search string filter.",
-)
-@click.option(
-    "--start-time",
-    help="ISO8601 start time (e.g. 2026-03-08T00:00:00Z).",
-)
-@click.option(
-    "--end-time",
-    help="ISO8601 end time. (e.g. 2026-03-08T00:00:00Z)",
-)
-@click.option(
-    "--follow",
-    "-f",
-    is_flag=True,
-    default=False,
-    help="Continuously poll for new logs.",
-)
-@OPT_HOST_URL
-@deploy.command(
-    "logs",
-    help=(
-        "[Beta] Fetch LangSmith Deployment logs. Use 'deploy' for agent runtime "
-        "logs, or 'build' for remote build logs."
-    ),
-)
-@log_command
-def deploy_logs(
-    api_key: str | None,
-    name: str | None,
-    deployment_id: str | None,
-    log_type: str,
-    revision_id: str | None,
-    level: str | None,
-    limit: int,
-    query: str | None,
-    start_time: str | None,
-    end_time: str | None,
-    follow: bool,
-    host_url: str,
-):
-    env_vars = _parse_env_from_config({}, pathlib.Path.cwd() / DEFAULT_CONFIG)
-    client = _create_host_backend_client(host_url, api_key, env_vars=env_vars)
-    if not deployment_id and not name:
-        name = env_vars.get(_DEPLOYMENT_NAME_ENV)
-    dep_id = _call_host_backend_with_optional_tenant(
-        client, lambda c: resolve_deployment_id(c, deployment_id, name)
-    )
-
-    if log_type == "build" and not revision_id:
-        revisions_resp = client.list_revisions(dep_id, limit=1)
-        resources = (
-            revisions_resp.get("resources", [])
-            if isinstance(revisions_resp, dict)
-            else []
-        )
-        if not resources:
-            raise click.ClickException(
-                "No revisions found for this deployment. Cannot fetch build logs."
-            )
-        revision_id = str(resources[0]["id"])
-        click.secho(f"Using latest revision: {revision_id}", fg="cyan")
-
-    payload: dict = {"limit": limit, "order": "desc"}
-    if level:
-        payload["level"] = level.upper()
-    if query:
-        payload["query"] = query
-    if start_time:
-        payload["start_time"] = start_time
-    if end_time:
-        payload["end_time"] = end_time
-
-    def _fetch(request_payload: dict) -> list[dict]:
-        if log_type == "build":
-            resp = client.get_build_logs(dep_id, revision_id, request_payload)
-        else:
-            resp = client.get_deploy_logs(dep_id, request_payload, revision_id)
-
-        if isinstance(resp, dict):
-            return resp.get("logs", [])
-        return []
-
-    def _print_entries(entries: list[dict], *, reverse: bool = False) -> None:
-        iterable = reversed(entries) if reverse else entries
-        for entry in iterable:
-            line = format_log_entry(entry)
-            fg = level_fg(entry.get("level", ""))
-            click.secho(line, fg=fg)
-
-    def _fetch_and_print(request_payload: dict, *, reverse: bool = False) -> list[dict]:
-        entries = _fetch(request_payload)
-        _print_entries(entries, reverse=reverse)
-        return entries
-
-    def _fetch_and_print_new(request_payload: dict, seen_ids: set[str]) -> list[dict]:
-        entries = _fetch(request_payload)
-        new = [e for e in entries if e.get("id", "") not in seen_ids]
-        if new:
-            _print_entries(new)
-            seen_ids.update(e.get("id", "") for e in new)
-        return new
-
-    # initial log fetch will be newest -> oldest, so we need to reverse
-    entries = _fetch_and_print(payload, reverse=True)
-
-    if not follow:
-        if not entries:
-            click.secho("No log entries found.", fg="yellow")
-        return
-
-    payload["order"] = "asc"
-    seen_ids: set[str] = {e.get("id", "") for e in entries if e.get("id")}
-
-    def _update_start_time(ts) -> None:
-        if ts is None:
-            return
-        if isinstance(ts, (int, float)):
-            dt = datetime.fromtimestamp(ts / 1000, tz=timezone.utc)
-            payload["start_time"] = dt.isoformat()
-        else:
-            payload["start_time"] = str(ts)
-
-    if entries:
-        # entries are in descending order here, so index 0 is the newest log
-        _update_start_time(entries[0].get("timestamp"))
-
-    try:
-        while True:
-            time.sleep(2)
-            new_entries = _fetch_and_print_new(payload, seen_ids)
-            if new_entries:
-                _update_start_time(new_entries[-1].get("timestamp"))
-    except KeyboardInterrupt:
-        click.echo("\nStopped.")
-
-
 def _get_docker_ignore_content() -> str:
     """Return the content of a .dockerignore file.
 

libs/cli/langgraph_cli/config.py

@@ -287,18 +287,6 @@ def validate_config(config: Config) -> Config:
                     f"Invalid http.app format: '{http_conf['app']}'. "
                     "Must be in format './path/to/file.py:attribute_name'"
                 )
-        if "apps" in http_conf and http_conf["apps"]:
-            for prefix, app_path in http_conf["apps"].items():
-                if not prefix.startswith("/"):
-                    raise ValueError(
-                        f"Invalid http.apps prefix: '{prefix}'. Must start with '/'"
-                    )
-                if ":" not in app_path:
-                    raise ValueError(
-                        f"Invalid http.apps format for prefix '{prefix}': '{app_path}'. "
-                        "Must be in format './path/to/file:attribute_name' "
-                        "or 'package:attribute_name'"
-                    )
     if keep_pkg_tools := config.get("keep_pkg_tools"):
         if isinstance(keep_pkg_tools, list):
             for tool in keep_pkg_tools:
@@ -819,94 +807,6 @@ def _update_http_app_path(
         http_config["app"] = f"{module_str}:{attr_str}"
 
 
-_JS_EXTENSIONS = frozenset({".js", ".ts", ".mts", ".mjs", ".cts", ".cjs"})
-
-
-def _is_js_http_app(app_path: str) -> bool:
-    """Check if an http.apps entry is a JavaScript/TypeScript app or npm package."""
-    module_str = app_path.split(":")[0]
-    ext = os.path.splitext(module_str)[1]
-    if ext:
-        return ext in _JS_EXTENSIONS
-    # No extension and not a file path → npm package reference (JS)
-    if not module_str.startswith((".", "/")):
-        return True
-    return False
-
-
-def _has_js_http_apps(config: Config) -> bool:
-    """Check if any http.apps entries are JavaScript apps."""
-    http_config = config.get("http")
-    if not http_config:
-        return False
-    apps = http_config.get("apps")
-    if not apps:
-        return False
-    return any(_is_js_http_app(app_path) for app_path in apps.values())
-
-
-def _update_http_apps_paths(
-    config_path: pathlib.Path, config: Config, local_deps: LocalDeps
-) -> None:
-    """Update HTTP apps paths to point to the correct location in the Docker container.
-
-    Similar to _update_http_app_path, but handles the `http.apps` dictionary
-    which maps path prefixes to app module paths. Python app paths are rewritten
-    to container paths; npm package references are left unchanged.
-    """
-    if not (http_config := config.get("http")) or not (apps := http_config.get("apps")):
-        return
-
-    for prefix, app_str in apps.items():
-        module_str, _, attr_str = app_str.partition(":")
-        if not module_str or not attr_str:
-            message = (
-                'Import string "{import_str}" must be in format "<module>:<attribute>".'
-            )
-            raise ValueError(message.format(import_str=app_str))
-
-        # Skip npm package references (bare module names without path separators)
-        if (
-            not module_str.startswith((".", "/"))
-            and not os.path.splitext(module_str)[1]
-        ):
-            continue
-
-        if "/" in module_str or "\\" in module_str:
-            resolved = (config_path.parent / module_str).resolve()
-            if not resolved.exists():
-                raise FileNotFoundError(
-                    f"Could not find HTTP app module for prefix '{prefix}': {resolved}"
-                )
-            elif not resolved.is_file():
-                raise IsADirectoryError(
-                    f"HTTP app module must be a file for prefix '{prefix}': {resolved}"
-                )
-            else:
-                for path in local_deps.real_pkgs:
-                    if resolved.is_relative_to(path):
-                        container_path = (
-                            pathlib.Path("/deps")
-                            / path.name
-                            / resolved.relative_to(path)
-                        )
-                        module_str = container_path.as_posix()
-                        break
-                else:
-                    for faux_pkg, (_, destpath) in local_deps.faux_pkgs.items():
-                        if resolved.is_relative_to(faux_pkg):
-                            container_subpath = resolved.relative_to(faux_pkg)
-                            module_str = f"{destpath}/{container_subpath.as_posix()}"
-                            break
-                    else:
-                        raise ValueError(
-                            f"HTTP app module '{app_str}' for prefix '{prefix}' "
-                            "not found in 'dependencies' list. "
-                            "Add its containing package to 'dependencies' list."
-                        )
-            apps[prefix] = f"{module_str}:{attr_str}"
-
-
 def _get_node_pm_install_cmd(config_path: pathlib.Path, config: Config) -> str:
     def test_file(file_name):
         full_path = config_path.parent / file_name
@@ -1057,8 +957,6 @@ def python_config_to_docker(
     _update_checkpointer_path(config_path, config, local_deps)
     # Rewrite HTTP app path, so it points to the correct location in the Docker container
     _update_http_app_path(config_path, config, local_deps)
-    # Rewrite HTTP apps paths, so they point to the correct location in the Docker container
-    _update_http_apps_paths(config_path, config, local_deps)
 
     pip_pkgs_str = (
         f"RUN {local_reqs_pip_install} {' '.join(pypi_deps)}" if pypi_deps else ""
@@ -1119,11 +1017,9 @@ ADD {relpath} /deps/{name}
         for fullpath, (relpath, name) in local_deps.real_pkgs.items()
     )
 
-    has_js_apps = _has_js_http_apps(config)
     install_node_str: str = (
         "RUN /storage/install-node.sh"
-        if ((config.get("ui") or config.get("node_version")) and local_deps.working_dir)
-        or has_js_apps
+        if (config.get("ui") or config.get("node_version")) and local_deps.working_dir
         else ""
     )
 
@@ -1182,10 +1078,6 @@ ADD {relpath} /deps/{name}
                 "# -- End of JS dependencies install --",
             ]
         )
-    elif has_js_apps:
-        js_inst_str = (
-            f"ENV NODE_VERSION={config.get('node_version') or DEFAULT_NODE_VERSION}"
-        )
     image_str = docker_tag(config, base_image, api_version)
 
     # Prepare docker file contents

libs/cli/langgraph_cli/helpers.py

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

libs/cli/langgraph_cli/host_backend.py

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

libs/cli/langgraph_cli/schemas.py

@@ -446,25 +446,6 @@ class HttpConfig(TypedDict, total=False):
     Format: "path/to/module.py:app_var"
     If provided, it can override or extend the default routes.
     """
-    apps: dict[str, str] | None
-    """Optional. Record mapping path prefix to app module path.
-
-    Each key is a URL path prefix (e.g., "/dashboard"), and each value is an
-    import path in "file:export" format (e.g., "./dashboard.py:app").
-
-    Python apps (.py) are mounted in-process as FastAPI/Starlette sub-applications.
-    JS apps (.js, .ts, .mts, .mjs) are spawned as Node.js subprocess servers
-    with a reverse proxy forwarding requests from the main server.
-    npm package references (paths not starting with . or /) are resolved as
-    npm imports in the JS subprocess.
-
-    Example:
-        {
-            "/dashboard": "./dashboard.py:app",
-            "/ext": "./extension.js:app",
-            "/conduit": "some-npm-package:app"
-        }
-    """
     disable_assistants: bool
     """Optional. If `True`, /assistants routes are removed from the server.
     

libs/cli/langgraph_cli/templates.py

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

libs/cli/langgraph_cli/util.py

@@ -1,5 +1,3 @@
-from collections.abc import Sequence
-
 import click
 
 
@@ -25,67 +23,3 @@ def warn_non_wolfi_distro(config_json: dict) -> None:
             fg="yellow",
         )
         click.secho("")  # Empty line for better readability
-
-
-def _extract_deployment_url(deployment: dict[str, object]) -> str:
-    source_config = deployment.get("source_config")
-    if isinstance(source_config, dict):
-        custom_url = source_config.get("custom_url")
-        if isinstance(custom_url, str) and custom_url:
-            return custom_url
-    return "-"
-
-
-def format_deployments_table(deployments: Sequence[dict[str, object]]) -> str:
-    headers = ("Deployment ID", "Deployment Name", "Deployment URL")
-    rows = [
-        (
-            str(deployment.get("id", "-") or "-"),
-            str(deployment.get("name", "-") or "-"),
-            _extract_deployment_url(deployment),
-        )
-        for deployment in deployments
-    ]
-    widths = [
-        max(len(headers[index]), *(len(row[index]) for row in rows))
-        for index in range(len(headers))
-    ]
-
-    def format_row(row: Sequence[str]) -> str:
-        return "  ".join(value.ljust(widths[index]) for index, value in enumerate(row))
-
-    lines = [format_row(headers), format_row(tuple("-" * width for width in widths))]
-    lines.extend(format_row(row) for row in rows)
-    return "\n".join(lines)
-
-
-def format_revisions_table(revisions: Sequence[dict[str, object]]) -> str:
-    headers = ("Revision ID", "Status", "Created At")
-    latest_deployed_seen = False
-    rows = []
-    for revision in revisions:
-        status = str(revision.get("status", "-") or "-")
-        if status == "DEPLOYED":
-            if latest_deployed_seen:
-                status = "REPLACED"
-            else:
-                latest_deployed_seen = True
-        rows.append(
-            (
-                str(revision.get("id", "-") or "-"),
-                status,
-                str(revision.get("created_at", "-") or "-"),
-            )
-        )
-
-    widths = [
-        max(len(headers[index]), *(len(row[index]) for row in rows))
-        for index in range(len(headers))
-    ]
-
-    def format_row(row: Sequence[str]) -> str:
-        return "  ".join(value.ljust(widths[index]) for index, value in enumerate(row))
-
-    lines = [format_row(headers), format_row(tuple("-" * width for width in widths))]
-    lines.extend(format_row(row) for row in rows)
-    return "\n".join(lines)

libs/cli/schemas/schema.json

@@ -687,7 +687,7 @@
     },
     "EncryptionConfig": {
       "title": "EncryptionConfig",
-      "description": "Configuration for custom at-rest encryption logic.\n\n    Allows you to implement custom encryption for sensitive data stored in the database,\n    including metadata fields and checkpoint blobs.",
+      "description": "Configuration for custom at-rest encryption logic.\n\nAllows you to implement custom encryption for sensitive data stored in the database,\nincluding metadata fields and checkpoint blobs.",
       "type": "object",
       "properties": {
         "path": {
@@ -728,20 +728,6 @@
           "type": "string",
           "description": "Optional. Import path to a custom Starlette/FastAPI application to mount.\n"
         },
-        "apps": {
-          "anyOf": [
-            {
-              "type": "object",
-              "additionalProperties": {
-                "type": "string"
-              }
-            },
-            {
-              "type": "null"
-            }
-          ],
-          "description": "Optional. Record mapping path prefix to app module path.\n\nEach key is a URL path prefix (e.g., \"/dashboard\"), and each value is an\n\nPython apps (.py) are mounted in-process as FastAPI/Starlette sub-applications.\nJS apps (.js, .ts, .mts, .mjs) are spawned as Node.js subprocess servers\nwith a reverse proxy forwarding requests from the main server.\nnpm package references (paths not starting with . or /) are resolved as\nnpm imports in the JS subprocess.\n"
-        },
         "configurable_headers": {
           "anyOf": [
             {

libs/cli/schemas/schema.v0.json

@@ -687,7 +687,7 @@
     },
     "EncryptionConfig": {
       "title": "EncryptionConfig",
-      "description": "Configuration for custom at-rest encryption logic.\n\n    Allows you to implement custom encryption for sensitive data stored in the database,\n    including metadata fields and checkpoint blobs.",
+      "description": "Configuration for custom at-rest encryption logic.\n\nAllows you to implement custom encryption for sensitive data stored in the database,\nincluding metadata fields and checkpoint blobs.",
       "type": "object",
       "properties": {
         "path": {
@@ -728,20 +728,6 @@
           "type": "string",
           "description": "Optional. Import path to a custom Starlette/FastAPI application to mount.\n"
         },
-        "apps": {
-          "anyOf": [
-            {
-              "type": "object",
-              "additionalProperties": {
-                "type": "string"
-              }
-            },
-            {
-              "type": "null"
-            }
-          ],
-          "description": "Optional. Record mapping path prefix to app module path.\n\nEach key is a URL path prefix (e.g., \"/dashboard\"), and each value is an\n\nPython apps (.py) are mounted in-process as FastAPI/Starlette sub-applications.\nJS apps (.js, .ts, .mts, .mjs) are spawned as Node.js subprocess servers\nwith a reverse proxy forwarding requests from the main server.\nnpm package references (paths not starting with . or /) are resolved as\nnpm imports in the JS subprocess.\n"
-        },
         "configurable_headers": {
           "anyOf": [
             {

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

@@ -9,7 +9,6 @@ from pathlib import Path
 
 from click.testing import CliRunner
 
-import langgraph_cli.cli as cli_module
 from langgraph_cli.cli import cli, prepare_args_and_stdin
 from langgraph_cli.config import Config, _get_pip_cleanup_lines, validate_config
 from langgraph_cli.docker import DEFAULT_POSTGRES_URI, DockerCapabilities, Version
@@ -288,374 +287,6 @@ def test_version_option() -> None:
     )
 
 
-def test_top_level_help_shows_deploy_subcommands() -> None:
-    runner = CliRunner()
-
-    result = runner.invoke(cli, ["--help"])
-
-    assert result.exit_code == 0, result.output
-    assert "deploy" in result.output
-    assert "deploy list" in result.output
-    assert "deploy delete" in result.output
-    assert "deploy revisions" in result.output
-    assert "deploy revisions list" in result.output
-    assert "[Beta] List LangSmith Deployments." in result.output
-
-
-def test_top_level_help_truncates_command_descriptions_to_single_line() -> None:
-    runner = CliRunner()
-
-    result = runner.invoke(cli, ["--help"])
-
-    assert result.exit_code == 0, result.output
-    lines = result.output.splitlines()
-    deploy_line = next(line for line in lines if line.strip().startswith("deploy"))
-    deploy_list_line = next(
-        line for line in lines if line.strip().startswith("deploy list")
-    )
-
-    assert not lines[lines.index(deploy_line) + 1].startswith("               ")
-    assert "..." in deploy_line
-    assert "[Beta] List LangSmith Deployments." in deploy_list_line
-
-
-def test_deploy_list_command(monkeypatch) -> None:
-    runner = CliRunner()
-    captured: dict[str, str] = {}
-
-    class FakeClient:
-        def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
-            captured["host_url"] = host_url
-            captured["api_key"] = api_key
-            captured["tenant_id"] = tenant_id or ""
-
-        def list_deployments(self, name_contains: str = ""):
-            captured["name_contains"] = name_contains
-            return {
-                "resources": [
-                    {
-                        "id": "dep-123",
-                        "name": "alpha",
-                        "source_config": {"custom_url": "https://alpha.example.com"},
-                    },
-                    {
-                        "id": "dep-456",
-                        "name": "beta",
-                        "source_config": {"custom_url": "https://beta.example.com"},
-                    },
-                ]
-            }
-
-    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
-
-    result = runner.invoke(
-        cli,
-        [
-            "deploy",
-            "list",
-            "--api-key",
-            "test-key",
-            "--host-url",
-            "https://api.example.com",
-            "--name-contains",
-            "alp",
-        ],
-    )
-
-    assert result.exit_code == 0, result.output
-    assert captured == {
-        "host_url": "https://api.example.com",
-        "api_key": "test-key",
-        "tenant_id": "",
-        "name_contains": "alp",
-    }
-    assert "Deployment ID" in result.output
-    assert "Deployment Name" in result.output
-    assert "Deployment URL" in result.output
-    assert "dep-123" in result.output
-    assert "https://beta.example.com" in result.output
-
-
-def test_deploy_list_command_no_results(monkeypatch) -> None:
-    runner = CliRunner()
-
-    class FakeClient:
-        def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
-            pass
-
-        def list_deployments(self, name_contains: str = ""):
-            return {"resources": []}
-
-    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
-
-    result = runner.invoke(
-        cli,
-        [
-            "deploy",
-            "list",
-            "--api-key",
-            "test-key",
-            "--host-url",
-            "https://api.example.com",
-        ],
-    )
-
-    assert result.exit_code == 0, result.output
-    assert result.output.strip() == "No deployments found."
-
-
-def test_deploy_revisions_list_command(monkeypatch) -> None:
-    runner = CliRunner()
-    captured: dict[str, str] = {}
-
-    class FakeClient:
-        def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
-            captured["host_url"] = host_url
-            captured["api_key"] = api_key
-            captured["tenant_id"] = tenant_id or ""
-
-        def list_revisions(self, deployment_id: str, limit: int = 1):
-            captured["deployment_id"] = deployment_id
-            captured["limit"] = str(limit)
-            return {
-                "resources": [
-                    {
-                        "id": "rev-123",
-                        "status": "CREATING",
-                        "created_at": "2023-11-07T05:31:56Z",
-                    },
-                    {
-                        "id": "rev-456",
-                        "status": "DEPLOYED",
-                        "created_at": "2023-11-08T10:00:00Z",
-                    },
-                ]
-            }
-
-    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
-
-    result = runner.invoke(
-        cli,
-        [
-            "deploy",
-            "revisions",
-            "list",
-            "--api-key",
-            "test-key",
-            "--host-url",
-            "https://api.example.com",
-            "dep-123",
-        ],
-    )
-
-    assert result.exit_code == 0, result.output
-    assert captured == {
-        "host_url": "https://api.example.com",
-        "api_key": "test-key",
-        "tenant_id": "",
-        "deployment_id": "dep-123",
-        "limit": "10",
-    }
-    assert "Revision ID" in result.output
-    assert "Status" in result.output
-    assert "Created At" in result.output
-    assert "rev-123" in result.output
-    assert "2023-11-08T10:00:00Z" in result.output
-
-
-def test_deploy_revisions_list_command_no_results(monkeypatch) -> None:
-    runner = CliRunner()
-
-    class FakeClient:
-        def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
-            pass
-
-        def list_revisions(self, deployment_id: str, limit: int = 1):
-            return {"resources": []}
-
-    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
-
-    result = runner.invoke(
-        cli,
-        [
-            "deploy",
-            "revisions",
-            "list",
-            "--api-key",
-            "test-key",
-            "--host-url",
-            "https://api.example.com",
-            "dep-123",
-        ],
-    )
-
-    assert result.exit_code == 0, result.output
-    assert result.output.strip() == "No revisions found for deployment dep-123."
-
-
-def test_deploy_revisions_list_command_with_explicit_limit(monkeypatch) -> None:
-    runner = CliRunner()
-    captured: dict[str, str] = {}
-
-    class FakeClient:
-        def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
-            pass
-
-        def list_revisions(self, deployment_id: str, limit: int = 1):
-            captured["deployment_id"] = deployment_id
-            captured["limit"] = str(limit)
-            return {"resources": []}
-
-    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
-
-    result = runner.invoke(
-        cli,
-        [
-            "deploy",
-            "revisions",
-            "list",
-            "--api-key",
-            "test-key",
-            "--host-url",
-            "https://api.example.com",
-            "--limit",
-            "25",
-            "dep-123",
-        ],
-    )
-
-    assert result.exit_code == 0, result.output
-    assert captured == {"deployment_id": "dep-123", "limit": "25"}
-    assert result.output.strip() == "No revisions found for deployment dep-123."
-
-
-def test_deploy_revisions_list_missing_deployment_id_shows_usage() -> None:
-    runner = CliRunner()
-
-    result = runner.invoke(cli, ["deploy", "revisions", "list"])
-
-    assert result.exit_code == 2, result.output
-    assert "Missing argument 'DEPLOYMENT_ID'" in result.output
-
-
-def test_deploy_delete_command(monkeypatch) -> None:
-    runner = CliRunner()
-    captured: dict[str, str] = {}
-
-    class FakeClient:
-        def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
-            captured["host_url"] = host_url
-            captured["api_key"] = api_key
-            captured["tenant_id"] = tenant_id or ""
-
-        def delete_deployment(self, deployment_id: str):
-            captured["deployment_id"] = deployment_id
-            return None
-
-    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
-
-    result = runner.invoke(
-        cli,
-        [
-            "deploy",
-            "delete",
-            "--api-key",
-            "test-key",
-            "--host-url",
-            "https://api.example.com",
-            "dep-123",
-        ],
-        input="y\n",
-    )
-
-    assert result.exit_code == 0, result.output
-    assert captured == {
-        "host_url": "https://api.example.com",
-        "api_key": "test-key",
-        "tenant_id": "",
-        "deployment_id": "dep-123",
-    }
-    assert (
-        "Are you sure you want to delete deployment ID dep-123? (Y/n):" in result.output
-    )
-    assert result.output.strip().endswith("Deleted deployment dep-123.")
-
-
-def test_deploy_delete_command_cancelled(monkeypatch) -> None:
-    runner = CliRunner()
-    deleted = False
-
-    class FakeClient:
-        def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
-            pass
-
-        def delete_deployment(self, deployment_id: str):
-            nonlocal deleted
-            deleted = True
-            return None
-
-    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
-
-    result = runner.invoke(
-        cli,
-        [
-            "deploy",
-            "delete",
-            "--api-key",
-            "test-key",
-            "--host-url",
-            "https://api.example.com",
-            "dep-123",
-        ],
-        input="n\n",
-    )
-
-    assert result.exit_code == 1, result.output
-    assert not deleted
-    assert "Aborted!" in result.output
-
-
-def test_deploy_delete_command_force(monkeypatch) -> None:
-    runner = CliRunner()
-    captured: dict[str, str] = {}
-
-    class FakeClient:
-        def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
-            captured["host_url"] = host_url
-            captured["api_key"] = api_key
-            captured["tenant_id"] = tenant_id or ""
-
-        def delete_deployment(self, deployment_id: str):
-            captured["deployment_id"] = deployment_id
-            return None
-
-    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
-
-    result = runner.invoke(
-        cli,
-        [
-            "deploy",
-            "delete",
-            "--force",
-            "--api-key",
-            "test-key",
-            "--host-url",
-            "https://api.example.com",
-            "dep-123",
-        ],
-    )
-
-    assert result.exit_code == 0, result.output
-    assert "Are you sure you want to delete deployment ID dep-123?" not in result.output
-    assert captured == {
-        "host_url": "https://api.example.com",
-        "api_key": "test-key",
-        "tenant_id": "",
-        "deployment_id": "dep-123",
-    }
-    assert result.output.strip() == "Deleted deployment dep-123."
-
-
 def test_dockerfile_command_basic() -> None:
     """Test the 'dockerfile' command with basic configuration."""
     runner = CliRunner()

libs/cli/tests/unit_tests/test_config.py

@@ -11,8 +11,6 @@ import pytest
 from langgraph_cli.config import (
     _BUILD_TOOLS,
     _get_pip_cleanup_lines,
-    _has_js_http_apps,
-    _is_js_http_app,
     config_to_compose,
     config_to_docker,
     default_base_image,
@@ -152,148 +150,6 @@ def test_validate_config():
         )
 
 
-def test_validate_config_http_apps():
-    """Test validation of http.apps field."""
-    # Valid http.apps config
-    config = validate_config(
-        {
-            "python_version": "3.12",
-            "dependencies": ["."],
-            "graphs": {"agent": "./agent.py:graph"},
-            "http": {
-                "apps": {
-                    "/dashboard": "./dashboard.py:app",
-                    "/ext": "./extension.js:app",
-                    "/conduit": "some-npm-package:app",
-                }
-            },
-        }
-    )
-    assert config["http"]["apps"] == {
-        "/dashboard": "./dashboard.py:app",
-        "/ext": "./extension.js:app",
-        "/conduit": "some-npm-package:app",
-    }
-
-    # Valid with both app and apps
-    config = validate_config(
-        {
-            "python_version": "3.12",
-            "dependencies": ["."],
-            "graphs": {"agent": "./agent.py:graph"},
-            "http": {
-                "app": "./custom_routes.py:app",
-                "apps": {
-                    "/dashboard": "./dashboard.py:app",
-                },
-            },
-        }
-    )
-    assert config["http"]["app"] == "./custom_routes.py:app"
-    assert config["http"]["apps"] == {"/dashboard": "./dashboard.py:app"}
-
-    # Invalid prefix (doesn't start with /)
-    with pytest.raises(ValueError, match="Invalid http.apps prefix"):
-        validate_config(
-            {
-                "python_version": "3.12",
-                "dependencies": ["."],
-                "graphs": {"agent": "./agent.py:graph"},
-                "http": {"apps": {"dashboard": "./dashboard.py:app"}},
-            }
-        )
-
-    # Invalid app path (no colon separator)
-    with pytest.raises(ValueError, match="Invalid http.apps format"):
-        validate_config(
-            {
-                "python_version": "3.12",
-                "dependencies": ["."],
-                "graphs": {"agent": "./agent.py:graph"},
-                "http": {"apps": {"/dashboard": "./dashboard.py"}},
-            }
-        )
-
-    # Empty apps dict is fine (no-op)
-    config = validate_config(
-        {
-            "python_version": "3.12",
-            "dependencies": ["."],
-            "graphs": {"agent": "./agent.py:graph"},
-            "http": {"apps": {}},
-        }
-    )
-    assert config["http"]["apps"] == {}
-
-    # None apps is fine
-    config = validate_config(
-        {
-            "python_version": "3.12",
-            "dependencies": ["."],
-            "graphs": {"agent": "./agent.py:graph"},
-            "http": {"apps": None},
-        }
-    )
-    assert config["http"]["apps"] is None
-
-
-def test_is_js_http_app():
-    """Test _is_js_http_app detection logic."""
-    # Python files are not JS
-    assert not _is_js_http_app("./dashboard.py:app")
-    assert not _is_js_http_app("./app.pyx:app")
-
-    # JS/TS files are JS
-    assert _is_js_http_app("./extension.js:app")
-    assert _is_js_http_app("./extension.ts:app")
-    assert _is_js_http_app("./extension.mts:app")
-    assert _is_js_http_app("./extension.mjs:app")
-    assert _is_js_http_app("./extension.cts:app")
-    assert _is_js_http_app("./extension.cjs:app")
-
-    # npm package references (bare module names) are JS
-    assert _is_js_http_app("some-npm-package:app")
-    assert _is_js_http_app("@scope/package:app")
-
-    # File paths without extensions that start with . or / are not JS
-    assert not _is_js_http_app("./mymodule:app")
-
-
-def test_has_js_http_apps():
-    """Test _has_js_http_apps config detection."""
-    # No http config
-    assert not _has_js_http_apps({})
-
-    # No apps field
-    assert not _has_js_http_apps({"http": {}})
-
-    # Empty apps
-    assert not _has_js_http_apps({"http": {"apps": {}}})
-
-    # Python-only apps
-    assert not _has_js_http_apps(
-        {"http": {"apps": {"/dashboard": "./dashboard.py:app"}}}
-    )
-
-    # JS apps
-    assert _has_js_http_apps({"http": {"apps": {"/ext": "./extension.js:app"}}})
-
-    # npm package
-    assert _has_js_http_apps({"http": {"apps": {"/conduit": "some-npm-package:app"}}})
-
-    # Mixed
-    assert _has_js_http_apps(
-        {
-            "http": {
-                "apps": {
-                    "/dashboard": "./dashboard.py:app",
-                    "/ext": "./extension.js:app",
-                }
-            }
-        }
-    )
-
-
 def test_validate_config_image_distro():
     """Test validation of image_distro field."""
     # Valid image_distro values should work
@@ -635,111 +491,6 @@ WORKDIR /deps/outer-unit_tests/unit_tests\
     }
 
 
-def test_config_to_docker_with_http_apps_python():
-    """Test Docker generation with http.apps containing Python apps."""
-    graphs = {"agent": "./agent.py:graph"}
-    actual_docker_stdin, additional_contexts = config_to_docker(
-        PATH_TO_CONFIG,
-        validate_config(
-            {
-                "dependencies": [".", "../../examples"],
-                "graphs": graphs,
-                "http": {
-                    "apps": {
-                        "/dashboard": "../../examples/my_app.py:app",
-                    }
-                },
-            }
-        ),
-        base_image="langchain/langgraph-api",
-    )
-    # Python http.apps paths should be rewritten to container paths
-    assert "LANGGRAPH_HTTP" in actual_docker_stdin
-    assert "/deps/examples/my_app.py:app" in actual_docker_stdin
-    assert "/dashboard" in actual_docker_stdin
-    # No Node.js installation for Python-only apps
-    assert "install-node" not in actual_docker_stdin
-
-
-def test_config_to_docker_with_http_apps_js():
-    """Test Docker generation with http.apps containing JS apps triggers Node install."""
-    graphs = {"agent": "./agent.py:graph"}
-    # Use npm package references to avoid needing actual JS files on disk
-    actual_docker_stdin, _ = config_to_docker(
-        PATH_TO_CONFIG,
-        validate_config(
-            {
-                "dependencies": ["."],
-                "graphs": graphs,
-                "http": {
-                    "apps": {
-                        "/ext": "my-js-package:app",
-                    }
-                },
-            }
-        ),
-        base_image="langchain/langgraph-api",
-    )
-    # JS http.apps should trigger Node.js installation
-    assert "install-node" in actual_docker_stdin
-    assert "NODE_VERSION=20" in actual_docker_stdin
-    assert "LANGGRAPH_HTTP" in actual_docker_stdin
-
-
-def test_config_to_docker_with_http_apps_npm_package():
-    """Test Docker generation with http.apps containing npm package triggers Node install."""
-    graphs = {"agent": "./agent.py:graph"}
-    actual_docker_stdin, _ = config_to_docker(
-        PATH_TO_CONFIG,
-        validate_config(
-            {
-                "dependencies": ["."],
-                "graphs": graphs,
-                "http": {
-                    "apps": {
-                        "/conduit": "some-npm-package:app",
-                    }
-                },
-            }
-        ),
-        base_image="langchain/langgraph-api",
-    )
-    # npm package should trigger Node.js installation
-    assert "install-node" in actual_docker_stdin
-    assert "NODE_VERSION=20" in actual_docker_stdin
-    assert "LANGGRAPH_HTTP" in actual_docker_stdin
-    # npm package path should not be rewritten
-    assert "some-npm-package:app" in actual_docker_stdin
-
-
-def test_config_to_docker_with_http_apps_mixed():
-    """Test Docker generation with mixed Python and JS http.apps."""
-    graphs = {"agent": "./agent.py:graph"}
-    actual_docker_stdin, _ = config_to_docker(
-        PATH_TO_CONFIG,
-        validate_config(
-            {
-                "dependencies": [".", "../../examples"],
-                "graphs": graphs,
-                "http": {
-                    "app": "../../examples/my_app.py:app",
-                    "apps": {
-                        "/dashboard": "../../examples/my_app.py:app",
-                        "/conduit": "some-npm-package:app",
-                    },
-                },
-            }
-        ),
-        base_image="langchain/langgraph-api",
-    )
-    # Should have both Python path rewriting and Node.js installation
-    assert "install-node" in actual_docker_stdin
-    assert "NODE_VERSION=20" in actual_docker_stdin
-    assert "LANGGRAPH_HTTP" in actual_docker_stdin
-    # Python paths should be rewritten
-    assert "/deps/examples/my_app.py:app" in actual_docker_stdin
-
-
 def test_config_to_docker_outside_path():
     graphs = {"agent": "./agent.py:graph"}
     actual_docker_stdin, additional_contexts = config_to_docker(
@@ -2033,9 +1784,7 @@ def test_config_to_compose_distributed_mode():
     # Executor service is present with correct base image
     assert "langgraph-executor:" in actual_compose_stdin
     assert "FROM langchain/langgraph-executor:3.11" in actual_compose_stdin
-    assert (
-        'entrypoint: ["sh", "/storage/executor_entrypoint.sh"]' in actual_compose_stdin
-    )
+    assert 'entrypoint: ["sh", "/storage/executor_entrypoint.sh"]' in actual_compose_stdin
 
     # Executor has required environment variables
     assert "EXECUTOR_GRPC_PORT:" in actual_compose_stdin

libs/cli/tests/unit_tests/test_deploy_helpers.py

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

libs/cli/tests/unit_tests/test_host_backend.py

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

libs/cli/tests/unit_tests/test_logs_helpers.py

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

libs/cli/tests/unit_tests/test_util.py

@@ -1,12 +1,6 @@
 from unittest.mock import patch
 
-from langgraph_cli.util import (
-    _extract_deployment_url,
-    clean_empty_lines,
-    format_deployments_table,
-    format_revisions_table,
-    warn_non_wolfi_distro,
-)
+from langgraph_cli.util import clean_empty_lines, warn_non_wolfi_distro
 
 
 def test_clean_empty_lines():
@@ -192,67 +186,3 @@ def test_warn_non_wolfi_distro_does_not_modify_config():
     warn_non_wolfi_distro(config_copy)
 
     assert config_copy == original_config  # Config should remain unchanged
-
-
-def test_extract_deployment_url_uses_custom_url():
-    deployment = {"source_config": {"custom_url": "https://example.com/custom"}}
-    assert _extract_deployment_url(deployment) == "https://example.com/custom"
-
-
-def test_extract_deployment_url_defaults_to_dash():
-    assert _extract_deployment_url({"id": "dep-123"}) == "-"
-
-
-def test_format_deployments_table():
-    output = format_deployments_table(
-        [
-            {
-                "id": "dep-123",
-                "name": "alpha",
-                "source_config": {"custom_url": "https://alpha.example.com"},
-            },
-            {
-                "id": "dep-456",
-                "name": "beta",
-                "url": "https://beta.example.com",
-            },
-        ]
-    )
-    assert "Deployment ID" in output
-    assert "Deployment Name" in output
-    assert "Deployment URL" in output
-    assert "dep-123" in output
-    assert "alpha" in output
-    assert "https://alpha.example.com" in output
-    assert "dep-456" in output
-
-
-def test_format_revisions_table():
-    output = format_revisions_table(
-        [
-            {
-                "id": "rev-123",
-                "status": "DEPLOYED",
-                "created_at": "2023-11-09T10:00:00Z",
-            },
-            {
-                "id": "rev-456",
-                "status": "CREATING",
-                "created_at": "2023-11-07T05:31:56Z",
-            },
-            {
-                "id": "rev-789",
-                "status": "DEPLOYED",
-                "created_at": "2023-11-08T10:00:00Z",
-            },
-        ]
-    )
-    assert "Revision ID" in output
-    assert "Status" in output
-    assert "Created At" in output
-    assert "rev-123" in output
-    assert "CREATING" in output
-    assert "2023-11-07T05:31:56Z" in output
-    assert "rev-456" in output
-    assert "rev-789" in output
-    assert "REPLACED" in output

libs/cli/uv.lock

@@ -992,6 +992,7 @@ dependencies = [
 inmem = [
     { name = "langgraph-api", marker = "python_full_version >= '3.11'" },
     { name = "langgraph-runtime-inmem", marker = "python_full_version >= '3.11'" },
+    { name = "python-dotenv" },
 ]
 
 [package.dev-dependencies]
@@ -1088,15 +1089,15 @@ wheels = [
 
 [[package]]
 name = "langgraph-sdk"
-version = "0.3.11"
+version = "0.3.9"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "httpx", marker = "python_full_version >= '3.11'" },
     { name = "orjson", marker = "python_full_version >= '3.11'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/35/cd/a019f1b1e97c519f2425593f9bccd3ac463a18fb5d2111cff59ce1ef62fe/langgraph_sdk-0.3.11.tar.gz", hash = "sha256:3640134835d89d2c7c8bb7de73bd10673d4b282db3ff0e2fdaf1cee9e50cb1eb", size = 190387, upload-time = "2026-03-11T00:46:45.25Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/3a/bd/ca8ae5c6a34be6d4f7aa86016e010ff96b3a939456041565797952e3014d/langgraph_sdk-0.3.9.tar.gz", hash = "sha256:8be8958529b3f6d493ec248fdb46e539362efda75784654a42a7091d22504e0e", size = 184287, upload-time = "2026-02-24T18:39:03.276Z" }
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+    { url = "https://files.pythonhosted.org/packages/6a/4c/7a7510260fbda788efd13bf4650d3e7d80988118441ac811ec78e0aa03ac/langgraph_sdk-0.3.9-py3-none-any.whl", hash = "sha256:94654294250c920789b6ed0d8a70c0117fed5736b61efc24ff647157359453c5", size = 90511, upload-time = "2026-02-24T18:39:02.012Z" },
 ]
 
 [[package]]
@@ -1796,11 +1797,11 @@ wheels = [
 
 [[package]]
 name = "pyjwt"
-version = "2.12.0"
+version = "2.11.0"
 source = { registry = "https://pypi.org/simple" }
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+    { url = "https://files.pythonhosted.org/packages/6f/01/c26ce75ba460d5cd503da9e13b21a33804d38c2165dec7b716d06b13010c/pyjwt-2.11.0-py3-none-any.whl", hash = "sha256:94a6bde30eb5c8e04fee991062b534071fd1439ef58d2adc9ccb823e7bcd0469", size = 28224, upload-time = "2026-01-30T19:59:54.539Z" },
 ]
 
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 ]
 
 [[package]]

libs/langgraph/langgraph/pregel/_loop.py

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

libs/langgraph/langgraph/pregel/_retry.py

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

libs/langgraph/langgraph/pregel/main.py

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

libs/langgraph/langgraph/pregel/protocol.py

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

libs/langgraph/langgraph/pregel/remote.py

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

libs/langgraph/langgraph/runtime.py

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

libs/langgraph/langgraph/types.py

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

libs/langgraph/pyproject.toml

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

libs/langgraph/tests/test_remote_graph.py

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

libs/langgraph/tests/test_retry.py

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

libs/langgraph/tests/test_stream_v2.py

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

libs/langgraph/tests/test_time_travel.py

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

libs/langgraph/tests/test_time_travel_async.py

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

libs/langgraph/uv.lock

@@ -1348,7 +1348,7 @@ wheels = [
 
 [[package]]
 name = "langchain-core"
-version = "1.2.19"
+version = "1.2.17"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jsonpatch" },
@@ -1360,14 +1360,14 @@ dependencies = [
     { name = "typing-extensions" },
     { name = "uuid-utils" },
 ]
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 ]
 
 [[package]]
 name = "langgraph"
-version = "1.1.3"
+version = "1.1.0"
 source = { editable = "." }
 dependencies = [
     { name = "langchain-core" },
@@ -1596,7 +1596,7 @@ test = [
 
 [[package]]
 name = "langgraph-checkpoint-postgres"
-version = "3.0.5"
+version = "3.0.4"
 source = { editable = "../checkpoint-postgres" }
 dependencies = [
     { name = "langgraph-checkpoint" },
@@ -1828,16 +1828,16 @@ dev = [
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },
     { name = "pytest-watch" },
-    { name = "ruff", specifier = "==0.15.6" },
+    { name = "ruff", specifier = "==0.15.5" },
     { name = "starlette" },
-    { name = "ty", specifier = "==0.0.23" },
+    { name = "ty", specifier = "==0.0.21" },
 ]
 lint = [
     { name = "codespell" },
     { name = "mypy", specifier = "==1.19.1" },
-    { name = "ruff", specifier = "==0.15.6" },
+    { name = "ruff", specifier = "==0.15.5" },
     { name = "starlette" },
-    { name = "ty", specifier = "==0.0.23" },
+    { name = "ty", specifier = "==0.0.21" },
 ]
 test = [
     { name = "pytest" },
@@ -2294,83 +2294,83 @@ wheels = [
 
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 ]
 
 [[package]]

libs/sdk-py/langgraph_sdk/__init__.py

@@ -3,6 +3,6 @@ from langgraph_sdk.client import get_client, get_sync_client
 from langgraph_sdk.encryption import Encryption
 from langgraph_sdk.encryption.types import EncryptionContext
 
-__version__ = "0.3.12"
+__version__ = "0.3.10"
 
 __all__ = ["Auth", "Encryption", "EncryptionContext", "get_client", "get_sync_client"]

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

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

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

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

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

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

libs/sdk-py/langgraph_sdk/cache.py

@@ -7,13 +7,8 @@ Values must be JSON-serializable (dicts, lists, strings, numbers, booleans,
 
 from __future__ import annotations
 
-from collections.abc import Awaitable, Callable
 from datetime import timedelta
-from typing import Any, Generic, Literal, TypeVar
-
-T = TypeVar("T")
-
-CacheStatus = Literal["miss", "fresh", "stale", "expired"]
+from typing import Any
 
 try:
     from langgraph_api.cache import (  # type: ignore[unresolved-import]
@@ -27,29 +22,9 @@ except ImportError:
     _cache_set = None
 
 
-try:
-    from langgraph_api.cache import SWRResult  # type: ignore[unresolved-import]
-    from langgraph_api.cache import swr as _api_swr  # type: ignore[unresolved-import]
-
-except ImportError:
-    _api_swr = None
-
-    class SWRResult(Generic[T]):
-        """Result wrapper returned by :func:`swr`."""
-
-        value: T
-        status: CacheStatus
-
-        async def mutate(self, value: T = ...) -> T:  # type: ignore[assignment]
-            """Update or revalidate the cached value."""
-            ...
-
-
 __all__ = [
-    "SWRResult",
     "cache_get",
     "cache_set",
-    "swr",
 ]
 
 
@@ -85,56 +60,3 @@ async def cache_set(key: str, value: Any, *, ttl: timedelta | None = None) -> No
             "(https://docs.langchain.com/langsmith/deployments)."
         )
     await _cache_set(key, value, ttl)
-
-
-async def swr(
-    key: str,
-    loader: Callable[[], Awaitable[T]],
-    *,
-    fresh_for: timedelta | None = None,
-    max_age: timedelta | None = None,
-    model: type[T] | None = None,
-) -> SWRResult[T]:
-    """Load a cached value using stale-while-revalidate semantics.
-
-    This helper is server-side only and is intended for caching internal async
-    dependencies such as auth or metadata lookups.
-
-    Args:
-        key: Cache key.
-        loader: Async callable that fetches the value on miss/revalidation.
-        fresh_for: How long a cached value is considered fresh (no revalidation).
-            Defaults to ``timedelta(0)`` so every access triggers a background
-            revalidate while still returning the cached value instantly. Values
-            above :data:`MAX_CACHE_TTL` are clamped to the backend maximum.
-        max_age: Total lifetime of a cached entry. After this, the next access
-            blocks on the loader. Defaults to :data:`MAX_CACHE_TTL` (24 h by
-            default). Values above :data:`MAX_CACHE_TTL` are clamped to the
-            backend maximum.
-        model: Optional Pydantic model class. When provided, values are
-            serialized via ``model_dump(mode="json")`` before storage and
-            deserialized via ``model.model_validate()`` on read.
-
-    Returns:
-        An :class:`SWRResult` with ``.value``, ``.status``, and an async
-        ``.mutate()`` method.
-
-    Semantics:
-    - cache miss: await ``loader()``, store the value, return it
-    - fresh hit (age < fresh_for): return the cached value
-    - stale hit (fresh_for <= age < max_age): return the cached value
-      immediately and trigger a best-effort background refresh
-    - expired (age >= max_age): await ``loader()``, store the value, return it
-    """
-    if _api_swr is None:
-        raise RuntimeError(
-            "Cache is only available server-side within the LangGraph Agent Server "
-            "(https://docs.langchain.com/langsmith/deployments)."
-        )
-    if fresh_for is None:
-        fresh_for = timedelta(0)
-    if max_age is None:
-        max_age = timedelta(days=1)
-    return await _api_swr(
-        key, loader, fresh_for=fresh_for, max_age=max_age, model=model
-    )

libs/sdk-py/langgraph_sdk/schema.py

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

libs/sdk-py/pyproject.toml

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

libs/sdk-py/tests/test_cache.py

@@ -1,69 +0,0 @@
-from datetime import timedelta
-from unittest.mock import AsyncMock
-
-import pytest
-
-import langgraph_sdk.cache as cache_module
-
-
-@pytest.mark.asyncio
-async def test_swr_proxies_to_server_impl(monkeypatch):
-    loader = AsyncMock(return_value={"ok": True})
-    forwarded = {}
-
-    async def fake_swr(key, inner_loader, *, fresh_for, max_age, model):
-        forwarded["key"] = key
-        forwarded["fresh_for"] = fresh_for
-        forwarded["max_age"] = max_age
-        forwarded["model"] = model
-        return await inner_loader()
-
-    monkeypatch.setattr(cache_module, "_api_swr", fake_swr)
-
-    result = await cache_module.swr(
-        "test-key",
-        loader,
-        fresh_for=timedelta(seconds=1),
-        max_age=timedelta(seconds=10),
-    )
-
-    assert result == {"ok": True}
-    assert forwarded == {
-        "key": "test-key",
-        "fresh_for": timedelta(seconds=1),
-        "max_age": timedelta(seconds=10),
-        "model": None,
-    }
-    loader.assert_awaited_once()
-
-
-@pytest.mark.asyncio
-async def test_swr_requires_server_runtime(monkeypatch):
-    monkeypatch.setattr(cache_module, "_api_swr", None)
-
-    with pytest.raises(RuntimeError, match="Cache is only available server-side"):
-        await cache_module.swr(
-            "test-key",
-            AsyncMock(return_value="unused"),
-            fresh_for=timedelta(seconds=1),
-            max_age=timedelta(seconds=10),
-        )
-
-
-@pytest.mark.asyncio
-async def test_swr_defaults(monkeypatch):
-    """fresh_for defaults to 0, max_age defaults to 1 day."""
-    loader = AsyncMock(return_value="val")
-    forwarded = {}
-
-    async def fake_swr(_key, inner_loader, *, fresh_for, max_age, model):  # noqa: ARG001
-        forwarded["fresh_for"] = fresh_for
-        forwarded["max_age"] = max_age
-        return await inner_loader()
-
-    monkeypatch.setattr(cache_module, "_api_swr", fake_swr)
-
-    await cache_module.swr("k", loader)
-
-    assert forwarded["fresh_for"] == timedelta(0)
-    assert forwarded["max_age"] == timedelta(days=1)

libs/sdk-py/uv.lock

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rust-core/Cargo.toml

@@ -0,0 +1,21 @@
+[package]
+name = "langgraph_rust_core"
+version = "0.1.0"
+edition = "2021"
+
+[lib]
+name = "langgraph_rust_core"
+crate-type = ["cdylib", "rlib"]
+
+[features]
+default = ["python-bindings"]
+python-bindings = ["dep:pyo3"]
+
+[dependencies]
+pyo3 = { version = "0.23.5", features = ["extension-module"], optional = true }
+serde = { version = "1.0", features = ["derive"] }
+serde_json = "1.0"
+parking_lot = "0.12"
+libc = "0.2"
+tokio = { version = "1", features = ["macros", "rt-multi-thread", "sync", "time"] }
+

rust-core/include/langgraph_rust_core.h

@@ -0,0 +1,47 @@
+#ifndef LANGGRAPH_RUST_CORE_H
+#define LANGGRAPH_RUST_CORE_H
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+typedef struct Engine Engine;
+typedef char* (*rc_node_callback_t)(
+    unsigned long user_data,
+    char* node,
+    char* arg_json,
+    char* state_json
+);
+
+Engine* rc_engine_new(void);
+void rc_engine_free(Engine* ptr);
+
+char* rc_add_async_channel(Engine* ptr, const char* channel);
+char* rc_add_custom_output_stream(Engine* ptr, const char* stream_name);
+char* rc_publish_json(Engine* ptr, const char* channel, const char* value_json);
+char* rc_wait_any_of_json(Engine* ptr, const char* any_of_json);
+char* rc_wait_all_of_json(Engine* ptr, const char* all_of_json);
+char* rc_start_stream(Engine* ptr, const char* stream_mode);
+char* rc_receive_stream_json(Engine* ptr, const char* stream_name);
+char* rc_send_custom_stream_event(Engine* ptr, const char* stream_name, const char* value_json);
+char* rc_close_all_streams(Engine* ptr);
+char* rc_run_graph_json(
+    Engine* ptr,
+    const char* entry_point,
+    const char* finish_point,
+    const char* initial_state_json,
+    const char* initial_input_json,
+    const char* stream_mode,
+    const char* node_locked_fields_json,
+    unsigned long user_data,
+    rc_node_callback_t callback
+);
+
+void rc_string_free(char* ptr);
+
+#ifdef __cplusplus
+}
+#endif
+
+#endif
+

rust-core/src/lib.rs

@@ -0,0 +1,4 @@
+mod engine;
+mod lib_c;
+#[cfg(feature = "python-bindings")]
+mod lib_py;

rust-core/src/lib_c.rs

@@ -0,0 +1,452 @@
+use crate::engine::{
+    parse_callback_envelope_json, run_graph_json_with_callback, run_loop_block_on, run_loop_spawn,
+    AllOfCondition, AnyOfCondition, Engine, NodeOutcome,
+};
+use serde_json::Value;
+use std::collections::HashMap;
+use std::ffi::{CStr, CString};
+use std::os::raw::c_char;
+use std::sync::mpsc;
+
+type CNodeCallback = unsafe extern "C" fn(
+    user_data: libc::c_ulong,
+    node: *mut c_char,
+    arg_json: *mut c_char,
+    state_json: *mut c_char,
+) -> *mut c_char;
+
+fn cstr_to_str<'a>(ptr: *const c_char) -> Result<&'a str, String> {
+    if ptr.is_null() {
+        return Err("Received null pointer".to_string());
+    }
+    let cstr = unsafe { CStr::from_ptr(ptr) };
+    cstr.to_str()
+        .map_err(|e| format!("Invalid UTF-8 input string: {e}"))
+}
+
+fn into_c_ptr(s: String) -> *mut c_char {
+    match CString::new(s) {
+        Ok(c) => c.into_raw(),
+        Err(_) => CString::new("{\"error\":\"NUL byte in output\"}")
+            .expect("static string is valid")
+            .into_raw(),
+    }
+}
+
+#[no_mangle]
+pub extern "C" fn rc_engine_new() -> *mut Engine {
+    Box::into_raw(Box::new(Engine::new()))
+}
+
+#[no_mangle]
+/// # Safety
+/// `ptr` must be either null or a valid pointer returned by `rc_engine_new`.
+pub unsafe extern "C" fn rc_engine_free(ptr: *mut Engine) {
+    if ptr.is_null() {
+        return;
+    }
+    drop(Box::from_raw(ptr));
+}
+
+#[no_mangle]
+/// # Safety
+/// `ptr` must be either null or a valid pointer returned by this library.
+pub unsafe extern "C" fn rc_string_free(ptr: *mut c_char) {
+    if ptr.is_null() {
+        return;
+    }
+    drop(CString::from_raw(ptr));
+}
+
+#[no_mangle]
+/// # Safety
+/// `ptr` must be a valid engine pointer from `rc_engine_new`.
+/// `channel` must be a valid null-terminated UTF-8 string pointer.
+pub unsafe extern "C" fn rc_add_async_channel(
+    ptr: *mut Engine,
+    channel: *const c_char,
+) -> *mut c_char {
+    if ptr.is_null() {
+        return into_c_ptr("{\"ok\":false,\"error\":\"null engine pointer\"}".to_string());
+    }
+    let channel = match cstr_to_str(channel) {
+        Ok(v) => v,
+        Err(e) => return into_c_ptr(format!("{{\"ok\":false,\"error\":\"{e}\"}}")),
+    };
+    (*ptr).add_async_channel(channel);
+    into_c_ptr("{\"ok\":true}".to_string())
+}
+
+#[no_mangle]
+/// # Safety
+/// `ptr` must be a valid engine pointer from `rc_engine_new`.
+/// `channel` and `value_json` must be valid null-terminated UTF-8 string pointers.
+pub unsafe extern "C" fn rc_publish_json(
+    ptr: *mut Engine,
+    channel: *const c_char,
+    value_json: *const c_char,
+) -> *mut c_char {
+    if ptr.is_null() {
+        return into_c_ptr("{\"ok\":false,\"error\":\"null engine pointer\"}".to_string());
+    }
+    let channel = match cstr_to_str(channel) {
+        Ok(v) => v,
+        Err(e) => return into_c_ptr(format!("{{\"ok\":false,\"error\":\"{e}\"}}")),
+    };
+    let value_json = match cstr_to_str(value_json) {
+        Ok(v) => v,
+        Err(e) => return into_c_ptr(format!("{{\"ok\":false,\"error\":\"{e}\"}}")),
+    };
+    let value: Value = match serde_json::from_str(value_json) {
+        Ok(v) => v,
+        Err(e) => {
+            return into_c_ptr(format!(
+                "{{\"ok\":false,\"error\":\"invalid JSON value: {e}\"}}"
+            ))
+        }
+    };
+    let result = (*ptr).publish_json(channel, value);
+    match result {
+        Ok(()) => into_c_ptr("{\"ok\":true}".to_string()),
+        Err(e) => into_c_ptr(format!("{{\"ok\":false,\"error\":\"{e}\"}}")),
+    }
+}
+
+#[no_mangle]
+/// # Safety
+/// `ptr` must be a valid engine pointer from `rc_engine_new`.
+/// `any_of_json` must be a valid null-terminated UTF-8 string pointer.
+pub unsafe extern "C" fn rc_wait_any_of_json(
+    ptr: *mut Engine,
+    any_of_json: *const c_char,
+) -> *mut c_char {
+    if ptr.is_null() {
+        return into_c_ptr("{\"ok\":false,\"error\":\"null engine pointer\"}".to_string());
+    }
+    let any_of_json = match cstr_to_str(any_of_json) {
+        Ok(v) => v,
+        Err(e) => return into_c_ptr(format!("{{\"ok\":false,\"error\":\"{e}\"}}")),
+    };
+    let any_of: AnyOfCondition = match serde_json::from_str(any_of_json) {
+        Ok(v) => v,
+        Err(e) => {
+            return into_c_ptr(format!(
+                "{{\"ok\":false,\"error\":\"invalid any_of JSON: {e}\"}}"
+            ))
+        }
+    };
+    let result = run_loop_block_on((*ptr).wait_for_any_of_async(&any_of));
+    match result {
+        Ok(event) => match serde_json::to_string(&event) {
+            Ok(s) => into_c_ptr(format!("{{\"ok\":true,\"event\":{s}}}")),
+            Err(e) => into_c_ptr(format!("{{\"ok\":false,\"error\":\"{e}\"}}")),
+        },
+        Err(e) => into_c_ptr(format!("{{\"ok\":false,\"error\":\"{e}\"}}")),
+    }
+}
+
+#[no_mangle]
+/// # Safety
+/// `ptr` must be a valid engine pointer from `rc_engine_new`.
+/// `all_of_json` must be a valid null-terminated UTF-8 string pointer.
+pub unsafe extern "C" fn rc_wait_all_of_json(
+    ptr: *mut Engine,
+    all_of_json: *const c_char,
+) -> *mut c_char {
+    if ptr.is_null() {
+        return into_c_ptr("{\"ok\":false,\"error\":\"null engine pointer\"}".to_string());
+    }
+    let all_of_json = match cstr_to_str(all_of_json) {
+        Ok(v) => v,
+        Err(e) => return into_c_ptr(format!("{{\"ok\":false,\"error\":\"{e}\"}}")),
+    };
+    let all_of: AllOfCondition = match serde_json::from_str(all_of_json) {
+        Ok(v) => v,
+        Err(e) => {
+            return into_c_ptr(format!(
+                "{{\"ok\":false,\"error\":\"invalid all_of JSON: {e}\"}}"
+            ))
+        }
+    };
+    let result = run_loop_block_on((*ptr).wait_for_all_of_async(&all_of));
+    match result {
+        Ok(event) => match serde_json::to_string(&event) {
+            Ok(s) => into_c_ptr(format!("{{\"ok\":true,\"event\":{s}}}")),
+            Err(e) => into_c_ptr(format!("{{\"ok\":false,\"error\":\"{e}\"}}")),
+        },
+        Err(e) => into_c_ptr(format!("{{\"ok\":false,\"error\":\"{e}\"}}")),
+    }
+}
+
+#[no_mangle]
+/// # Safety
+/// `ptr` must be a valid engine pointer from `rc_engine_new`.
+/// `stream_name` must be a valid null-terminated UTF-8 string pointer.
+pub unsafe extern "C" fn rc_add_custom_output_stream(
+    ptr: *mut Engine,
+    stream_name: *const c_char,
+) -> *mut c_char {
+    if ptr.is_null() {
+        return into_c_ptr("{\"ok\":false,\"error\":\"null engine pointer\"}".to_string());
+    }
+    let stream_name = match cstr_to_str(stream_name) {
+        Ok(v) => v,
+        Err(e) => return into_c_ptr(format!("{{\"ok\":false,\"error\":\"{e}\"}}")),
+    };
+    match (*ptr).add_custom_output_stream(stream_name) {
+        Ok(()) => into_c_ptr("{\"ok\":true}".to_string()),
+        Err(e) => into_c_ptr(format!("{{\"ok\":false,\"error\":\"{e}\"}}")),
+    }
+}
+
+#[no_mangle]
+/// # Safety
+/// `ptr` must be a valid engine pointer from `rc_engine_new`.
+/// `stream_mode` must be null or a valid null-terminated UTF-8 string pointer.
+pub unsafe extern "C" fn rc_start_stream(
+    ptr: *mut Engine,
+    stream_mode: *const c_char,
+) -> *mut c_char {
+    if ptr.is_null() {
+        return into_c_ptr("{\"ok\":false,\"error\":\"null engine pointer\"}".to_string());
+    }
+    let mode = if stream_mode.is_null() {
+        None
+    } else {
+        match cstr_to_str(stream_mode) {
+            Ok(v) => Some(v),
+            Err(e) => return into_c_ptr(format!("{{\"ok\":false,\"error\":\"{e}\"}}")),
+        }
+    };
+    match (*ptr).start_stream(mode) {
+        Ok(()) => into_c_ptr("{\"ok\":true}".to_string()),
+        Err(e) => into_c_ptr(format!("{{\"ok\":false,\"error\":\"{e}\"}}")),
+    }
+}
+
+#[no_mangle]
+/// # Safety
+/// `ptr` must be a valid engine pointer from `rc_engine_new`.
+/// `stream_name` must be a valid null-terminated UTF-8 string pointer.
+pub unsafe extern "C" fn rc_receive_stream_json(
+    ptr: *mut Engine,
+    stream_name: *const c_char,
+) -> *mut c_char {
+    if ptr.is_null() {
+        return into_c_ptr("{\"ok\":false,\"error\":\"null engine pointer\"}".to_string());
+    }
+    let stream_name = match cstr_to_str(stream_name) {
+        Ok(v) => v,
+        Err(e) => return into_c_ptr(format!("{{\"ok\":false,\"error\":\"{e}\"}}")),
+    };
+    let event = run_loop_block_on((*ptr).receive_stream_async(stream_name));
+    match event {
+        Some(value) => match serde_json::to_string(&value) {
+            Ok(s) => into_c_ptr(format!("{{\"ok\":true,\"has_event\":true,\"event\":{s}}}")),
+            Err(e) => into_c_ptr(format!("{{\"ok\":false,\"error\":\"{e}\"}}")),
+        },
+        None => into_c_ptr("{\"ok\":true,\"has_event\":false}".to_string()),
+    }
+}
+
+#[no_mangle]
+/// # Safety
+/// `ptr` must be a valid engine pointer from `rc_engine_new`.
+/// `stream_name` must be a valid null-terminated UTF-8 string pointer.
+/// `value_json` must be a valid null-terminated UTF-8 string pointer.
+pub unsafe extern "C" fn rc_send_custom_stream_event(
+    ptr: *mut Engine,
+    stream_name: *const c_char,
+    value_json: *const c_char,
+) -> *mut c_char {
+    if ptr.is_null() {
+        return into_c_ptr("{\"ok\":false,\"error\":\"null engine pointer\"}".to_string());
+    }
+    let stream_name = match cstr_to_str(stream_name) {
+        Ok(v) => v,
+        Err(e) => return into_c_ptr(format!("{{\"ok\":false,\"error\":\"{e}\"}}")),
+    };
+    let value_json = match cstr_to_str(value_json) {
+        Ok(v) => v,
+        Err(e) => return into_c_ptr(format!("{{\"ok\":false,\"error\":\"{e}\"}}")),
+    };
+    let value: Value = match serde_json::from_str(value_json) {
+        Ok(v) => v,
+        Err(e) => {
+            return into_c_ptr(format!(
+                "{{\"ok\":false,\"error\":\"invalid JSON value: {e}\"}}"
+            ))
+        }
+    };
+    (*ptr).send_custom_stream_event(stream_name, value);
+    into_c_ptr("{\"ok\":true}".to_string())
+}
+
+#[no_mangle]
+/// # Safety
+/// `ptr` must be a valid engine pointer from `rc_engine_new`.
+pub unsafe extern "C" fn rc_close_all_streams(ptr: *mut Engine) -> *mut c_char {
+    if ptr.is_null() {
+        return into_c_ptr("{\"ok\":false,\"error\":\"null engine pointer\"}".to_string());
+    }
+    (*ptr).close_all_streams();
+    into_c_ptr("{\"ok\":true}".to_string())
+}
+
+#[no_mangle]
+/// # Safety
+/// `ptr` must be a valid engine pointer from `rc_engine_new`.
+/// `entry_point`, `finish_point`, and `initial_state_json` must be valid null-terminated UTF-8 pointers.
+/// `callback` must be a valid function pointer that returns a malloc-allocated C string.
+pub unsafe extern "C" fn rc_run_graph_json(
+    ptr: *mut Engine,
+    entry_point: *const c_char,
+    finish_point: *const c_char,
+    initial_state_json: *const c_char,
+    initial_input_json: *const c_char,
+    stream_mode: *const c_char,
+    node_locked_fields_json: *const c_char,
+    user_data: libc::c_ulong,
+    callback: Option<CNodeCallback>,
+) -> *mut c_char {
+    if ptr.is_null() {
+        return into_c_ptr("{\"ok\":false,\"error\":\"null engine pointer\"}".to_string());
+    }
+    let Some(callback) = callback else {
+        return into_c_ptr("{\"ok\":false,\"error\":\"null callback pointer\"}".to_string());
+    };
+    let entry_point = match cstr_to_str(entry_point) {
+        Ok(v) => v.to_string(),
+        Err(e) => return into_c_ptr(format!("{{\"ok\":false,\"error\":\"{e}\"}}")),
+    };
+    let finish_point = match cstr_to_str(finish_point) {
+        Ok(v) => v.to_string(),
+        Err(e) => return into_c_ptr(format!("{{\"ok\":false,\"error\":\"{e}\"}}")),
+    };
+    let initial_state_json = match cstr_to_str(initial_state_json) {
+        Ok(v) => v,
+        Err(e) => return into_c_ptr(format!("{{\"ok\":false,\"error\":\"{e}\"}}")),
+    };
+    let initial_state: Value = match serde_json::from_str(initial_state_json) {
+        Ok(v) => v,
+        Err(e) => {
+            return into_c_ptr(format!(
+                "{{\"ok\":false,\"error\":\"invalid initial_state JSON: {e}\"}}"
+            ))
+        }
+    };
+    let initial_input_json = match cstr_to_str(initial_input_json) {
+        Ok(v) => v,
+        Err(e) => return into_c_ptr(format!("{{\"ok\":false,\"error\":\"{e}\"}}")),
+    };
+    let initial_input: Value = match serde_json::from_str(initial_input_json) {
+        Ok(v) => v,
+        Err(e) => {
+            return into_c_ptr(format!(
+                "{{\"ok\":false,\"error\":\"invalid initial_input JSON: {e}\"}}"
+            ))
+        }
+    };
+    let stream_mode = if stream_mode.is_null() {
+        None
+    } else {
+        match cstr_to_str(stream_mode) {
+            Ok(v) => Some(v.to_string()),
+            Err(e) => return into_c_ptr(format!("{{\"ok\":false,\"error\":\"{e}\"}}")),
+        }
+    };
+    let node_locked_fields: HashMap<String, Vec<String>> = if node_locked_fields_json.is_null() {
+        HashMap::new()
+    } else {
+        let payload = match cstr_to_str(node_locked_fields_json) {
+            Ok(v) => v,
+            Err(e) => return into_c_ptr(format!("{{\"ok\":false,\"error\":\"{e}\"}}")),
+        };
+        match serde_json::from_str(payload) {
+            Ok(v) => v,
+            Err(e) => {
+                return into_c_ptr(format!(
+                    "{{\"ok\":false,\"error\":\"invalid node_locked_fields JSON: {e}\"}}"
+                ))
+            }
+        }
+    };
+
+    if let Some(mode) = stream_mode.as_deref() {
+        if let Err(e) = (*ptr).start_stream(Some(mode)) {
+            return into_c_ptr(format!("{{\"ok\":false,\"error\":\"{e}\"}}"));
+        }
+    }
+
+    let (tx, rx) = mpsc::channel::<Result<Value, String>>();
+    let user_data_bits = user_data;
+    let run_engine = (*ptr).clone();
+    let submit = run_loop_spawn(async move {
+        let callback_wrapper = move |node: String,
+                                     arg: Value,
+                                     state_snapshot: Value|
+              -> Result<NodeOutcome<Value, Value>, String> {
+            let node_c =
+                CString::new(node.clone()).map_err(|e| format!("invalid node name: {e}"))?;
+            let arg_json = serde_json::to_string(&arg)
+                .map_err(|e| format!("serialize arg for `{node}` failed: {e}"))?;
+            let state_json = serde_json::to_string(&state_snapshot)
+                .map_err(|e| format!("serialize state for `{node}` failed: {e}"))?;
+            let arg_c =
+                CString::new(arg_json).map_err(|e| format!("invalid arg JSON bytes: {e}"))?;
+            let state_c =
+                CString::new(state_json).map_err(|e| format!("invalid state JSON bytes: {e}"))?;
+            let out_ptr = unsafe {
+                callback(
+                    user_data_bits,
+                    node_c.as_ptr() as *mut c_char,
+                    arg_c.as_ptr() as *mut c_char,
+                    state_c.as_ptr() as *mut c_char,
+                )
+            };
+            if out_ptr.is_null() {
+                return Err(format!("callback returned null for `{node}`"));
+            }
+            let out_raw = unsafe { CStr::from_ptr(out_ptr) }
+                .to_string_lossy()
+                .into_owned();
+            unsafe {
+                libc::free(out_ptr.cast());
+            }
+            parse_callback_envelope_json(&out_raw, &node)
+        };
+        let out = run_graph_json_with_callback(
+            entry_point,
+            finish_point,
+            initial_state,
+            initial_input,
+            run_engine.clone(),
+            callback_wrapper,
+            node_locked_fields,
+        )
+        .await;
+        run_engine.close_all_streams();
+        let _ = tx.send(out);
+    });
+    if let Err(e) = submit {
+        return into_c_ptr(format!("{{\"ok\":false,\"error\":\"{e}\"}}"));
+    }
+
+    let run_result = match rx.recv() {
+        Ok(v) => v,
+        Err(e) => {
+            return into_c_ptr(format!(
+                "{{\"ok\":false,\"error\":\"run-loop recv failed: {e}\"}}"
+            ))
+        }
+    };
+    match run_result {
+        Ok(state) => match serde_json::to_string(&state) {
+            Ok(s) => into_c_ptr(format!("{{\"ok\":true,\"state\":{s}}}")),
+            Err(e) => into_c_ptr(format!(
+                "{{\"ok\":false,\"error\":\"serialize state failed: {e}\"}}"
+            )),
+        },
+        Err(e) => into_c_ptr(format!("{{\"ok\":false,\"error\":\"{e}\"}}")),
+    }
+}

rust-core/src/lib_py.rs

@@ -0,0 +1,394 @@
+#[cfg(feature = "python-bindings")]
+use crate::engine::{
+    run_graph_with_callback, run_loop_block_on, AllOfCondition, AnyOfCondition, Engine,
+    NodeExecResult, NodeOutcome, SendPayload, WaitCondition, WaitEvent, WaitRequest,
+};
+#[cfg(feature = "python-bindings")]
+use pyo3::exceptions::PyValueError;
+#[cfg(feature = "python-bindings")]
+use pyo3::prelude::*;
+#[cfg(feature = "python-bindings")]
+use pyo3::types::PyAny;
+#[cfg(feature = "python-bindings")]
+use pyo3::types::{PyDict, PyList, PyTuple};
+#[cfg(feature = "python-bindings")]
+use serde_json::Value;
+#[cfg(feature = "python-bindings")]
+use std::collections::HashMap;
+#[cfg(feature = "python-bindings")]
+use std::sync::Arc;
+
+#[cfg(feature = "python-bindings")]
+#[pyclass]
+struct PyRustEngine {
+    inner: Engine,
+}
+
+#[cfg(feature = "python-bindings")]
+#[pymethods]
+impl PyRustEngine {
+    #[new]
+    fn new() -> Self {
+        Self {
+            inner: Engine::new(),
+        }
+    }
+
+    fn add_async_channel(&self, name: &str) {
+        self.inner.add_async_channel(name);
+    }
+
+    fn add_custom_output_stream(&self, stream_name: &str) -> PyResult<()> {
+        self.inner
+            .add_custom_output_stream(stream_name)
+            .map_err(PyValueError::new_err)
+    }
+
+    fn publish_obj(&self, py: Python<'_>, channel: &str, value: Py<PyAny>) -> PyResult<()> {
+        let value_json = py_obj_to_json_string(py, &value.bind(py))?;
+        let parsed: Value = serde_json::from_str(&value_json)
+            .map_err(|e| PyValueError::new_err(format!("Invalid Python JSON value: {e}")))?;
+        self.inner
+            .publish_json(channel, parsed)
+            .map_err(PyValueError::new_err)
+    }
+
+    #[pyo3(signature = (channel, min, max=None))]
+    fn wait_channel(
+        &self,
+        py: Python<'_>,
+        channel: &str,
+        min: usize,
+        max: Option<usize>,
+    ) -> PyResult<Py<PyAny>> {
+        let cond = WaitCondition::Channel {
+            channel: channel.to_string(),
+            min,
+            max: max.unwrap_or(0),
+        };
+        let any_of = AnyOfCondition {
+            conditions: vec![cond],
+        };
+        let event = run_loop_block_on(self.inner.wait_for_any_of_async(&any_of))
+            .map_err(PyValueError::new_err)?;
+        let event_json = serde_json::to_string(&event)
+            .map_err(|e| PyValueError::new_err(format!("Serialize event failed: {e}")))?;
+        json_string_to_py_obj(py, &event_json)
+    }
+
+    fn wait_timer(&self, py: Python<'_>, seconds: f64) -> PyResult<Py<PyAny>> {
+        let cond = WaitCondition::Timer { seconds };
+        let any_of = AnyOfCondition {
+            conditions: vec![cond],
+        };
+        let event = run_loop_block_on(self.inner.wait_for_any_of_async(&any_of))
+            .map_err(PyValueError::new_err)?;
+        let event_json = serde_json::to_string(&event)
+            .map_err(|e| PyValueError::new_err(format!("Serialize event failed: {e}")))?;
+        json_string_to_py_obj(py, &event_json)
+    }
+
+    fn wait_any_of_obj(&self, py: Python<'_>, any_of_payload: Py<PyAny>) -> PyResult<Py<PyAny>> {
+        let payload_json = py_obj_to_json_string(py, &any_of_payload.bind(py))?;
+        let event_json = self._wait_any_of_json(&payload_json)?;
+        json_string_to_py_obj(py, &event_json)
+    }
+
+    fn wait_all_of_obj(&self, py: Python<'_>, all_of_payload: Py<PyAny>) -> PyResult<Py<PyAny>> {
+        let payload_json = py_obj_to_json_string(py, &all_of_payload.bind(py))?;
+        let event_json = self._wait_all_of_json(&payload_json)?;
+        json_string_to_py_obj(py, &event_json)
+    }
+
+    fn _wait_any_of_json(&self, any_of_json: &str) -> PyResult<String> {
+        let any_of: AnyOfCondition = serde_json::from_str(any_of_json)
+            .map_err(|e| PyValueError::new_err(format!("Invalid any_of JSON: {e}")))?;
+        let event = run_loop_block_on(self.inner.wait_for_any_of_async(&any_of))
+            .map_err(PyValueError::new_err)?;
+        serde_json::to_string(&event)
+            .map_err(|e| PyValueError::new_err(format!("Serialize event failed: {e}")))
+    }
+
+    fn _wait_all_of_json(&self, all_of_json: &str) -> PyResult<String> {
+        let all_of: AllOfCondition = serde_json::from_str(all_of_json)
+            .map_err(|e| PyValueError::new_err(format!("Invalid all_of JSON: {e}")))?;
+        let event = run_loop_block_on(self.inner.wait_for_all_of_async(&all_of))
+            .map_err(PyValueError::new_err)?;
+        serde_json::to_string(&event)
+            .map_err(|e| PyValueError::new_err(format!("Serialize event failed: {e}")))
+    }
+
+    fn wait_condition_json(&self, cond_json: &str) -> PyResult<String> {
+        let cond: WaitCondition = serde_json::from_str(cond_json)
+            .map_err(|e| PyValueError::new_err(format!("Invalid condition JSON: {e}")))?;
+        let any_of = AnyOfCondition {
+            conditions: vec![cond],
+        };
+        let event = run_loop_block_on(self.inner.wait_for_any_of_async(&any_of))
+            .map_err(PyValueError::new_err)?;
+        serde_json::to_string(&event)
+            .map_err(|e| PyValueError::new_err(format!("Serialize event failed: {e}")))
+    }
+
+    #[pyo3(signature = (stream_mode=None))]
+    fn start_stream(&self, stream_mode: Option<&str>) -> PyResult<()> {
+        self.inner
+            .start_stream(stream_mode)
+            .map_err(PyValueError::new_err)
+    }
+
+    fn receive_stream_obj(&self, py: Python<'_>, stream_name: &str) -> PyResult<Py<PyAny>> {
+        let event =
+            py.allow_threads(|| run_loop_block_on(self.inner.receive_stream_async(stream_name)));
+        match event {
+            Some(value) => {
+                let event_json = serde_json::to_string(&value)
+                    .map_err(|e| PyValueError::new_err(format!("Serialize event failed: {e}")))?;
+                json_string_to_py_obj(py, &event_json)
+            }
+            None => Ok(py.None()),
+        }
+    }
+
+    fn send_custom_stream_event_obj(
+        &self,
+        py: Python<'_>,
+        stream_name: &str,
+        value: Py<PyAny>,
+    ) -> PyResult<()> {
+        let value_json = py_obj_to_json_string(py, &value.bind(py))?;
+        let parsed: Value = serde_json::from_str(&value_json)
+            .map_err(|e| PyValueError::new_err(format!("Invalid Python JSON value: {e}")))?;
+        self.inner.send_custom_stream_event(stream_name, parsed);
+        Ok(())
+    }
+
+    fn close_all_streams(&self) {
+        self.inner.close_all_streams();
+    }
+
+    #[pyo3(signature = (entry_point, finish_point, initial_state, callback, stream_mode=None, node_locked_fields=None))]
+    fn run_graph_py(
+        &self,
+        py: Python<'_>,
+        entry_point: &str,
+        finish_point: &str,
+        initial_state: Py<PyAny>,
+        callback: Py<PyAny>,
+        stream_mode: Option<&str>,
+        node_locked_fields: Option<Py<PyAny>>,
+    ) -> PyResult<Py<PyAny>> {
+        if let Some(mode) = stream_mode {
+            self.inner
+                .start_stream(Some(mode))
+                .map_err(PyValueError::new_err)?;
+        }
+
+        let engine = self.inner.clone();
+        let callback = Arc::new(callback);
+        let entry_point = entry_point.to_string();
+        let finish_point = finish_point.to_string();
+        let initial_state = Arc::new(initial_state);
+        let initial_input = Arc::clone(&initial_state);
+        let locked_fields_by_node: HashMap<String, Vec<String>> =
+            if let Some(locked_fields_obj) = node_locked_fields {
+                let json_str = py_obj_to_json_string(py, &locked_fields_obj.bind(py))?;
+                serde_json::from_str(&json_str).map_err(|e| {
+                    PyValueError::new_err(format!("invalid node_locked_fields payload: {e}"))
+                })?
+            } else {
+                HashMap::new()
+            };
+
+        let run_result =
+            py.allow_threads(move || {
+                run_loop_block_on(run_graph_with_callback(
+                    entry_point,
+                    finish_point,
+                    initial_state,
+                    initial_input,
+                    engine.clone(),
+                    {
+                        let callback = Arc::clone(&callback);
+                    move |node: String,
+                          arg: Arc<Py<PyAny>>,
+                          state_snapshot: Arc<Py<PyAny>>|
+                          -> Result<NodeOutcome<Arc<Py<PyAny>>, Arc<Py<PyAny>>>, String> {
+                        Python::with_gil(|py| -> Result<NodeOutcome<Arc<Py<PyAny>>, Arc<Py<PyAny>>>, String> {
+                            let callback_bound = callback.as_ref().bind(py);
+                            let payload_obj = callback_bound
+                                .call1((
+                                    node.as_str(),
+                                    arg.as_ref().clone_ref(py),
+                                    state_snapshot.as_ref().clone_ref(py),
+                                ))
+                                .map_err(|e| format!("callback failed for node `{node}`: {e}"))?;
+                            parse_node_outcome_arc(py, &payload_obj).map_err(|e| {
+                                format!("invalid callback payload for `{node}`: {e}")
+                            })
+                        })
+                    }
+                    },
+                |state: &mut Arc<Py<PyAny>>, update: Option<Arc<Py<PyAny>>>| -> Result<(), String> {
+                        Python::with_gil(|py| -> Result<(), String> {
+                            if let Some(update) = update {
+                            apply_update_to_state(py, state.as_ref(), update.as_ref())
+                                    .map_err(|e| format!("state merge failed: {e}"))?;
+                            }
+                            Ok(())
+                        })
+                    },
+                |arg: Arc<Py<PyAny>>, event: WaitEvent| -> Result<Arc<Py<PyAny>>, String> {
+                    wrap_resume_arg(arg.as_ref(), &event).map(Arc::new)
+                    },
+                move |node: &str| locked_fields_by_node.get(node).cloned().unwrap_or_default(),
+                ))
+            });
+
+        self.inner.close_all_streams();
+        let out = run_result.map_err(PyValueError::new_err)?;
+        Ok(out.as_ref().clone_ref(py))
+    }
+}
+
+#[cfg(feature = "python-bindings")]
+fn parse_node_outcome_arc(
+    py: Python<'_>,
+    payload_obj: &Bound<'_, PyAny>,
+) -> Result<NodeOutcome<Arc<Py<PyAny>>, Arc<Py<PyAny>>>, String> {
+    let payload_dict = payload_obj
+        .downcast::<PyDict>()
+        .map_err(|_| "payload must be a dict".to_string())?;
+    let suspended_item = payload_dict
+        .get_item("suspend")
+        .map_err(|e| format!("failed to read suspend: {e}"))?;
+    if let Some(wait_obj) = suspended_item {
+        let wait_json = py_obj_to_json_string(py, &wait_obj)
+            .map_err(|e| format!("failed to encode suspend payload: {e}"))?;
+        let wait: WaitRequest = serde_json::from_str(&wait_json)
+            .map_err(|e| format!("invalid suspend payload: {e}"))?;
+        return Ok(NodeOutcome::Suspended { wait });
+    }
+
+    let update_item = payload_dict
+        .get_item("update")
+        .map_err(|e| format!("failed to read update: {e}"))?;
+    let update = match update_item {
+        Some(v) if !v.is_none() => Some(Arc::new(v.unbind())),
+        _ => None,
+    };
+
+    let sends_obj = payload_dict
+        .get_item("sends")
+        .map_err(|e| format!("failed to read sends: {e}"))?
+        .ok_or_else(|| "missing sends".to_string())?;
+    let sends_list = sends_obj
+        .downcast::<PyList>()
+        .map_err(|_| "sends must be a list".to_string())?;
+
+    let mut sends = Vec::with_capacity(sends_list.len());
+    for item in sends_list.iter() {
+        let send_dict = item
+            .downcast::<PyDict>()
+            .map_err(|_| "send item must be a dict".to_string())?;
+        let node_obj = send_dict
+            .get_item("node")
+            .map_err(|e| format!("failed to read send.node: {e}"))?
+            .ok_or_else(|| "send.node is required".to_string())?;
+        let node = node_obj
+            .extract::<String>()
+            .map_err(|e| format!("send.node must be string: {e}"))?;
+        let arg: Arc<Py<PyAny>> = match send_dict.get_item("arg") {
+            Ok(Some(v)) => Arc::new(v.unbind()),
+            Ok(None) => Arc::new(Python::with_gil(|py| py.None())),
+            Err(e) => return Err(format!("failed to read send.arg: {e}")),
+        };
+        sends.push(SendPayload { node, arg });
+    }
+
+    Ok(NodeOutcome::Completed(NodeExecResult { update, sends }))
+}
+
+#[cfg(feature = "python-bindings")]
+fn wrap_resume_arg(arg: &Py<PyAny>, event: &WaitEvent) -> Result<Py<PyAny>, String> {
+    Python::with_gil(|py| -> Result<Py<PyAny>, String> {
+        let wrapper = PyDict::new(py);
+        wrapper
+            .set_item("__lg_resume_arg__", arg.clone_ref(py))
+            .map_err(|e| format!("failed to set resume arg: {e}"))?;
+        let event_json = serde_json::to_string(event)
+            .map_err(|e| format!("failed to encode wait event: {e}"))?;
+        let event_obj = json_string_to_py_obj(py, &event_json)
+            .map_err(|e| format!("failed to parse event: {e}"))?;
+        wrapper
+            .set_item("__lg_resume_event__", event_obj.bind(py))
+            .map_err(|e| format!("failed to set resume event: {e}"))?;
+        Ok(wrapper.unbind().into_any())
+    })
+}
+
+#[cfg(feature = "python-bindings")]
+fn apply_update_to_state(py: Python<'_>, state: &Py<PyAny>, update: &Py<PyAny>) -> PyResult<()> {
+    let state_obj = state.bind(py);
+    let update_obj = update.bind(py);
+
+    if update_obj.is_none() {
+        return Ok(());
+    }
+    if state_obj.is_instance_of::<PyDict>() && update_obj.is_instance_of::<PyDict>() {
+        let state_dict = state_obj.downcast::<PyDict>()?;
+        let update_dict = update_obj.downcast::<PyDict>()?;
+        state_dict.call_method1("update", (update_dict,))?;
+        return Ok(());
+    }
+    if let Ok(tuple_like) = update_obj.downcast::<PyList>() {
+        apply_pair_updates(state_obj, tuple_like)?;
+        return Ok(());
+    }
+    if let Ok(tuple_like) = update_obj.downcast::<PyTuple>() {
+        let list = PyList::new(py, tuple_like)?;
+        apply_pair_updates(state_obj, &list)?;
+    }
+    Ok(())
+}
+
+#[cfg(feature = "python-bindings")]
+fn apply_pair_updates(state_obj: &Bound<'_, PyAny>, entries: &Bound<'_, PyList>) -> PyResult<()> {
+    if !state_obj.is_instance_of::<PyDict>() {
+        return Ok(());
+    }
+    let state_dict = state_obj.downcast::<PyDict>()?;
+    for entry in entries.iter() {
+        if let Ok(pair) = entry.downcast::<PyTuple>() {
+            if pair.len() == 2 {
+                let key_obj = pair.get_item(0)?;
+                if let Ok(key) = key_obj.extract::<String>() {
+                    let value_obj = pair.get_item(1)?;
+                    state_dict.set_item(key, value_obj)?;
+                }
+            }
+        }
+    }
+    Ok(())
+}
+
+#[cfg(feature = "python-bindings")]
+fn py_obj_to_json_string(py: Python<'_>, obj: &Bound<'_, PyAny>) -> PyResult<String> {
+    let json_mod = py.import("json")?;
+    let dumped = json_mod.call_method1("dumps", (obj,))?;
+    dumped.extract::<String>()
+}
+
+#[cfg(feature = "python-bindings")]
+fn json_string_to_py_obj(py: Python<'_>, value: &str) -> PyResult<Py<PyAny>> {
+    let json_mod = py.import("json")?;
+    let loaded = json_mod.call_method1("loads", (value,))?;
+    Ok(loaded.unbind())
+}
+
+#[cfg(feature = "python-bindings")]
+#[pymodule]
+fn langgraph_rust_core(m: &Bound<'_, PyModule>) -> PyResult<()> {
+    m.add_class::<PyRustEngine>()?;
+    Ok(())
+}

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+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "27ad5e34374e03cfffefc301becb44e9dc3c17584f414349ebe29ed26661822d"
+dependencies = [
+ "pin-project-lite",
+ "tokio-macros",
+]
+
+[[package]]
+name = "tokio-macros"
+version = "2.6.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "5c55a2eff8b69ce66c84f85e1da1c233edc36ceb85a2058d11b0d6a3c7e7569c"
+dependencies = [
+ "proc-macro2",
+ "quote",
+ "syn",
+]
+
+[[package]]
+name = "unicode-ident"
+version = "1.0.24"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "e6e4313cd5fcd3dad5cafa179702e2b244f760991f45397d14d4ebf38247da75"
+
+[[package]]
+name = "unindent"
+version = "0.2.4"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "7264e107f553ccae879d21fbea1d6724ac785e8c3bfc762137959b5802826ef3"
+
+[[package]]
+name = "windows-link"
+version = "0.2.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "f0805222e57f7521d6a62e36fa9163bc891acd422f971defe97d64e70d0a4fe5"
+
+[[package]]
+name = "zmij"
+version = "1.0.21"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "b8848ee67ecc8aedbaf3e4122217aff892639231befc6a1b58d29fff4c2cabaa"

saf-python-sdk/Cargo.toml

@@ -0,0 +1,22 @@
+[package]
+name = "langgraph_rust_core"
+version = "0.1.0"
+edition = "2021"
+
+[lib]
+name = "langgraph_rust_core"
+path = "../rust-core/src/lib.rs"
+crate-type = ["cdylib", "rlib"]
+
+[features]
+default = ["python-bindings"]
+python-bindings = ["dep:pyo3"]
+
+[dependencies]
+pyo3 = { version = "0.23.5", features = ["extension-module"], optional = true }
+serde = { version = "1.0", features = ["derive"] }
+serde_json = "1.0"
+parking_lot = "0.12"
+libc = "0.2"
+tokio = { version = "1", features = ["macros", "rt-multi-thread", "sync", "time"] }
+

saf-python-sdk/Makefile

@@ -0,0 +1,34 @@
+
+PYPI_REPOSITORY ?= pypi
+PYPI_TOKEN ?=
+PYTHON_VERSION ?= 3.13
+TEST_BASE = uv run --python $(PYTHON_VERSION) --reinstall-package saf-python-sdk --with pytest --with anyio --with typing_extensions --with pydantic --with langgraph pytest -q -s
+
+.PHONY: publish-to-pypi-saf-python-sdk all-tests test_primitives test_sub_agents test_update_elision test_run_pool_size test-benchmark
+publish-to-pypi-saf-python-sdk:
+	@test -n "$(PYPI_TOKEN)" || (echo "PYPI_TOKEN is required"; exit 1)
+	cd "$(CURDIR)" && \
+	PATH="$(HOME)/.cargo/bin:$$PATH" \
+	MATURIN_PYPI_TOKEN="$(PYPI_TOKEN)" \
+	uv run --with maturin maturin publish --repository $(PYPI_REPOSITORY) --non-interactive --skip-existing --no-sdist
+
+all-tests:
+	$(TEST_BASE) tests/advanced-graph/test_*.py
+
+test_primitives:
+	$(TEST_BASE) tests/advanced-graph/test_primitives.py
+
+test_sub_agents:
+	$(TEST_BASE) tests/advanced-graph/test_sub_agents.py
+
+test_update_elision:
+	$(TEST_BASE) tests/advanced-graph/test_update_elision.py
+
+test_run_pool_size:
+	$(TEST_BASE) tests/advanced-graph/test_run_pool_size.py
+
+test-benchmark:
+	# Increase per-process file descriptor limit for high-concurrency benchmark runs.
+	ulimit -n 65536 || true; \
+	uv run --python $(PYTHON_VERSION) --with anyio --with typing_extensions --with pydantic --with langgraph python tests/advanced-graph/benchmark_stategraph_vs_advancedgraph.py
+

saf-python-sdk/README.md

@@ -0,0 +1,16 @@
+# saf-python-sdk
+
+Standalone Python SDK for the `advanced_graph` runtime backed by the Rust engine.
+
+This package intentionally contains only:
+
+- `saf_python_sdk.advanced_graph` (Python API)
+- `langgraph_rust_core` (Rust execution engine via PyO3)
+
+It does not package the original `langgraph` `stategraph` stack.
+
+## Moved assets
+
+- Original advanced graph design doc: `evolve-extend-langgraph.md`
+- Original advanced graph tests: `tests/advanced-graph/`
+

saf-python-sdk/evolve-extend-langgraph.md

@@ -0,0 +1,127 @@
+# Evolve/Extend LangGraph with next level of orchestration
+
+## LangGraph Today: A Strong Foundation with Creative Innovation
+
+LangGraph is already an exceptional orchestration framework. It has introduced a number of creative features that no other workflow engine on the market has even attempted.
+
+**First-class streaming.** No workflow engine has ever integrated streaming as seamlessly as LangGraph. Streaming is not an afterthought bolted on top — it is woven into the core execution model, allowing every node, every tool call, and every LLM interaction to emit incremental output naturally.
+
+**Flexible durability modes.** LangGraph defaults to asynchronous execution and supports sync and "exit" modes as well. This is a significant departure from traditional workflow engines, which typically only offer synchronous execution. The ability to choose a durability mode gives developers fine-grained control over the trade-off between persistence guarantees and execution speed.
+
+**Reusable checkpoints.** The checkpoint system allows state to be captured at any point during graph execution and freely replayed, forked, or resumed later. This enables powerful patterns like time-travel debugging, human-in-the-loop approval flows, and long-running conversations that can be picked up exactly where they left off.
+
+**Double texting.** LangGraph natively handles the real-world scenario where a user sends a new message while a previous one is still being processed — a problem most orchestration frameworks simply ignore.
+
+Beyond these innovative features, LangGraph provides solid support for the foundational workflow execution patterns that developers rely on daily. Sequential execution, or loops and conditional branching. Basic parallelism is also well supported: when multiple LLM calls or tool invocations are independent of each other, they can run concurrently to avoid the latency cost of sequential execution, and their results are merged back into the shared state for downstream processing.
+
+LangGraph also offers a simple and intuitive mechanism for human-in-the-loop interactions, allowing a graph to pause execution and wait for user input before continuing.
+
+Combined with the broader LangChain ecosystem, these have made LangGraph a significant success in the market.
+
+## Emerging Gaps: What LangGraph Struggles to Support
+
+As adoption has grown and use cases have become more sophisticated, we have discovered an increasing number of scenarios and design patterns that LangGraph cannot support well today.
+
+**Complex sub-agent coordination.** A main agent often needs to manage multiple sub-agents, but the coordination involved is far more nuanced than simply launching a batch of sub-agents, waiting for all of them to finish, and then moving on. In practice, a main agent may launch a sub-agent, continue doing other work, spawn additional sub-agents later, wait selectively for certain results, retry with a different strategy if one sub-agent fails, or dynamically decide what to do next based on partial results that arrive at unpredictable times.
+
+LangGraph today lacks the coordination primitives to express this. The current parallelism model groups multiple nodes into a single superstep — all of them execute concurrently, but _all_ must complete before the graph can advance to the next step. There is no way for one node to proceed independently while others are still running, and no built-in mechanism for selective waiting, partial result handling, or dynamic task spawning mid-execution.
+
+Sub-agents also cannot simply be modeled as subgraphs, because subgraphs today execute within the same run. They cannot be scaled up independently — if a sub-agent is resource-intensive, there is no straightforward way to run it on a separate machine. Ideally, launching a sub-agent should be(or opt in) as simple as dispatching it for distributed execution across multiple machines.
+
+**Concurrent input and output (e.g. audio agents).** Audio agents also present a particularly clear example of a pattern LangGraph cannot express today. In a voice interaction, speech input and speech output may happen simultaneously — the agent should be able to process a previous utterance, continue receiving new audio input, and produce output all at the same time. These three activities should not be mutually exclusive.
+
+The closest workaround today is double texting, but it has a fundamental flaw: when a new audio input arrives, the previous one is interrupted and canceled rather than being allowed to gracefully complete. The workflow code itself should have the control to decide whether to stop running.
+
+LangGraph is, at its core, a general-purpose workflow engine. Although we focus primarily on agent development, none of the primitives it offers are exclusive to agents or dedicated solely to agentic use cases. Conversely, there is nothing that a general-purpose workflow engine provides that we can safely assume agent development will _never_ need.
+
+The difference is probably only priority. For example, durable timer where a step can sleep for hours, days or months before resuming. Traditional workflow engines — those built for general microservice orchestration(which doesn't need streaming) -- they may need durable timers. In the agent development world today, most agents are still relatively simple. There are not yet many scenarios that require a step to wait for hours or days before proceeding.
+
+## Deriving What's Needed from First Principles
+
+Before jumping to solutions, it is worth stepping back and asking a fundamental question: what is an orchestration engine, and what do users expect it to provide?
+
+At its most fundamental level, a workflow engine's value proposition is making a long-running process execute reliably. If a machine crashes, execution should smoothly fail over to another machine and resume from the last point where it was interrupted — not start over from the beginning. So we can reason about what is needed by asking: what would a developer do if they had to build a long-running process _without_ a workflow engine?
+
+Starting from the simple. A developer could write a simple `main` function — a single-threaded program, just like everyone writes when they first learn to code. It would have `if/else` branches, `for` loops, and maybe it would wait for command-line input. Many early agent use cases look exactly like this: execute a sequence of steps, make decisions along the way, loop when necessary.
+
+But if that machine crashes, you probably do not want the process to start over from scratch. You want it to resume from the last step that completed successfully. And if a step fails, you might want it to retry automatically before giving up.
+
+LangGraph handles this case very well.
+
+There is an important constraint worth calling out explicitly: LangGraph requires the developer to organize their code into **nodes**, which serve as the boundaries at which checkpoints can be taken. This is a constraint shared by every workflow engine — it is simply not feasible to persist a checkpoint after every single line of arbitrary code.
+
+### From Single-Threaded to Concurrent: Where the Model Breaks Down
+
+But as product requirements grow more complex, a single-threaded program is no longer sufficient. The process becomes multi-threaded or multi-process. And in a multi-threaded program, each thread executes independently — when one thread finishes a step and moves on to its next step, it does not need to wait for another thread to finish _its_ current step first.
+
+This is precisely why LangGraph's superstep restriction feels awkward in practice. In the superstep model, all concurrently executing nodes must complete before any of them can advance. But that is not how independent threads work. Each thread should be able to progress at its own pace, checkpoint its own state, and move to its next step without being blocked by unrelated work happening in parallel.
+
+Multiple threads and processes do, however, need to coordinate with each other. In concurrent programming, channels are an essential primitive precisely because they provide a safe, structured way for threads to communicate and synchronize without relying on shared mutable memory — avoiding data races and deadlocks. In some cases, threads may use locking for coordination, but the preferred approach is message passing through channels.
+
+NOTE: "channel" is overloaded term here as it's also an internal term within current LangGraph pregel algorithm.
+
+LangGraph already has a mechanism that is closely related: `interrupt`. A run can be interrupted, and then another run can resume it. If we look at this through the lens of channels, `interrupt` is essentially a **channel with size 0** — a synchronous rendezvous point where one side blocks until the other side is ready.
+
+The natural extension:
+
+1. **Variable-size channels.** The channel buffer size should be configurable — size 0 for synchronous handoff (like `interrupt` today), size N for buffered communication where the sender can proceed without waiting, and unbounded for fully asynchronous fire-and-forget messaging.
+2. **Channels across boundaries.** Channels should not be limited to communication between separate runs. Nodes within the same graph should also be able to send and receive through channels — mirroring the way both multi-process communication (between runs) and multi-thread communication (between nodes within a run) work in ordinary concurrent programs.
+3. **Node-level blocking, not run-level pausing.** When a node waits on a channel (i.e. `interrupt`), only that node should block — the rest of the graph should continue executing. Today, `interrupt` pauses the entire run. In a concurrent program, when one thread blocks on a channel read, the other threads keep running. The same should be true: an interrupt should suspend the individual node, not halt the whole run.
+
+## Summmary of all extension opportunity
+
+### P1: urgently needed
+#### Remove the Superstep Restriction
+
+Today, when multiple nodes execute in parallel, they are grouped into a superstep. All nodes in a superstep must complete before any downstream node can begin. This means that even if `b1` finishes quickly and its successor `b11` is ready to run, it must wait for `b2` to finish first.
+
+With the superstep restriction removed, each parallel branch progresses independently. As soon as a node completes, its downstream successor can begin immediately — regardless of what is happening in other branches.
+
+**Current behavior (superstep model):**
+
+```
+Step 1:  a
+Step 2:  b1, b2        ← both must finish before step 3
+Step 3:  b11, b22      ← both start together
+```
+
+Even if `b1` finishes in 1 second and `b2` takes 30 seconds, `b11` cannot start until `b2` is done.
+
+**Proposed behavior (independent branches):**
+
+```
+Branch 1:  a → b1 → b11 → ...
+Branch 2:  a → b2 → b22 → ...
+```
+
+Each branch advances at its own pace. `b1` finishing triggers `b11` immediately, without waiting for `b2`.
+
+No API change is needed from the user's perspective — the graph definition stays the same. The change is in the execution semantics: the engine no longer forces all parallel nodes to synchronize at each step boundary. Each branch is checkpointed independently, so if `b1 → b11` completes while `b2` is still running, `b11`'s result is already persisted.
+
+This is necessary for the next one -- Light-weight Interrupt: Only Block the Current Node. Because we want to let other nodes continue to run while a node is waiting on something.
+
+#### Light-weight Interrupt -- wait_for API: Only Block the Current Node Until Channel Has Enough Messages
+
+Today, `interrupt` pauses the entire run. Every node stops, and nothing can proceed until the interrupt is resolved externally. This is the right behavior for a simple single-threaded workflow, but it breaks down when multiple branches are executing concurrently — one branch needing input should not freeze all the others.
+
+The proposed change has three parts:
+
+1. **Named channels.** A graph can declare named channels as coordination points. These are distinct from the graph's state — they are message-passing primitives, not shared memory.
+2. **`wait_for` blocks only the current node.** When a node calls `wait_for`, it suspends itself and waits for messages on the specified channel. All other nodes in the graph continue executing normally.
+3. A channel can be published from both external and internal
+
+The `wait_for` call takes a channel name and optionally a count `N`, meaning "wait until N messages have arrived on this channel before resuming."
+
+**Prototype:**
+
+See [test_sub_agents.py](../libs/langgraph/tests/advanced-graph/test_sub_agents.py)
+
+### P2: likely needed
+#### subGraph redesign
+#### durable timers
+#### more flexiable waiting conditions on interrupts
+#### locking on state fields
+
+### P3: future needed or nice to have
+#### RPC
+

saf-python-sdk/pyproject.toml

@@ -0,0 +1,26 @@
+[build-system]
+requires = ["maturin>=1.7,<2"]
+build-backend = "maturin"
+
+[project]
+name = "saf-python-sdk"
+version = "0.1.4"
+description = "Standalone advanced graph runtime powered by Rust engine"
+readme = "README.md"
+requires-python = ">=3.10"
+license = "MIT"
+authors = [{ name = "LangGraph Contributors" }]
+classifiers = [
+    "Programming Language :: Python :: 3",
+    "Programming Language :: Python :: 3 :: Only",
+    "Programming Language :: Rust",
+    "License :: OSI Approved :: MIT License",
+    "Operating System :: OS Independent",
+]
+
+[tool.maturin]
+python-source = "python"
+module-name = "saf_python_sdk.langgraph_rust_core"
+bindings = "pyo3"
+features = ["python-bindings"]
+

saf-python-sdk/python/saf_python_sdk/__init__.py

@@ -0,0 +1,4 @@
+from .types import Command, Send
+
+__all__ = ["Command", "Send"]
+

saf-python-sdk/python/saf_python_sdk/advanced_graph/__init__.py

@@ -0,0 +1,36 @@
+from .state import (
+    AdvancedStateGraph,
+    AllOfCondition,
+    AnyOfCondition,
+    ChannelCondition,
+    ConditionResult,
+    CompiledGraphEngine,
+    Context,
+    GraphRunHandler,
+    NodeStateOption,
+    TimerCondition,
+    WaitForResult,
+    all_of,
+    any_of,
+    channel_condition,
+    timer_condition,
+)
+
+__all__ = [
+    "AdvancedStateGraph",
+    "CompiledGraphEngine",
+    "Context",
+    "GraphRunHandler",
+    "NodeStateOption",
+    "ChannelCondition",
+    "TimerCondition",
+    "AnyOfCondition",
+    "AllOfCondition",
+    "ConditionResult",
+    "WaitForResult",
+    "channel_condition",
+    "timer_condition",
+    "any_of",
+    "all_of",
+]
+

saf-python-sdk/python/saf_python_sdk/advanced_graph/state.py

@@ -0,0 +1,877 @@
+from __future__ import annotations
+
+import atexit
+import asyncio
+import inspect
+import os
+import threading
+from collections.abc import Callable, Coroutine, Sequence
+from concurrent.futures import ThreadPoolExecutor
+from dataclasses import dataclass
+from datetime import timedelta
+from typing import Any, Generic, TypeVar, cast
+
+from saf_python_sdk.langgraph_rust_core import PyRustEngine  # type: ignore[import-untyped]
+
+from saf_python_sdk.types import Command, Send
+
+StateT = TypeVar("StateT")
+
+
+@dataclass(frozen=True)
+class _ChannelSpec:
+    typ: Any
+
+
+@dataclass(frozen=True)
+class NodeStateOption:
+    locked_fields: tuple[str, ...] = ()
+
+
+@dataclass(frozen=True)
+class ChannelCondition:
+    channel: str
+    min: int = 1
+    max: int = 0
+
+
+@dataclass(frozen=True)
+class TimerCondition:
+    seconds: float
+
+
+@dataclass(frozen=True)
+class AnyOfCondition:
+    conditions: tuple[WaitCondition, ...]
+
+
+@dataclass(frozen=True)
+class AllOfCondition:
+    conditions: tuple[WaitCondition, ...]
+
+
+@dataclass(frozen=True)
+class ConditionResult:
+    met: bool
+    channel_name: str | None = None
+    values: list[Any] | None = None
+
+
+@dataclass(frozen=True)
+class WaitForResult:
+    conditions: list[ConditionResult]
+
+
+WaitCondition = ChannelCondition | TimerCondition
+
+_EXECUTOR_LOCK = threading.Lock()
+_EXECUTOR: ThreadPoolExecutor | None = None
+
+
+def _advanced_graph_executor() -> ThreadPoolExecutor:
+    global _EXECUTOR
+    with _EXECUTOR_LOCK:
+        if _EXECUTOR is None:
+            worker_count = int(os.getenv("LANGGRAPH_ADVANCED_GRAPH_PY_THREADS", "256"))
+            worker_count = max(worker_count, 1)
+            _EXECUTOR = ThreadPoolExecutor(
+                max_workers=worker_count,
+                thread_name_prefix="saf-advanced-py",
+            )
+            atexit.register(_shutdown_advanced_graph_executor)
+        return _EXECUTOR
+
+
+def _shutdown_advanced_graph_executor() -> None:
+    global _EXECUTOR
+    with _EXECUTOR_LOCK:
+        if _EXECUTOR is not None:
+            _EXECUTOR.shutdown(wait=False, cancel_futures=False)
+            _EXECUTOR = None
+
+
+class WaitRequested(Exception):
+    def __init__(self, payload: dict[str, Any]) -> None:
+        super().__init__("wait requested")
+        self.payload = payload
+
+
+class AdvancedStateGraph(Generic[StateT]):
+    """Experimental in-memory graph engine with async channels."""
+
+    def __init__(self, state_schema: type[StateT]) -> None:
+        self.state_schema = state_schema
+        self._nodes: dict[str, Callable[..., Any]] = {}
+        self._node_options: dict[str, NodeStateOption] = {}
+        self._async_channels: dict[str, _ChannelSpec] = {}
+        self._custom_output_streams: dict[str, _ChannelSpec] = {}
+        self._entry_point: str | None = None
+        self._finish_point: str | None = None
+
+    def add_node(
+        self,
+        name_or_node: str | Callable[..., Any],
+        node: Callable[..., Any] | None = None,
+        *,
+        state_option: dict[str, Any] | NodeStateOption | None = None,
+    ) -> str:
+        if node is None:
+            if not callable(name_or_node):
+                raise TypeError("add_node() expects a callable when name is omitted")
+            node_name = _infer_node_name(name_or_node)
+            node_fn = name_or_node
+        else:
+            if not isinstance(name_or_node, str):
+                raise TypeError("add_node() expects a string node name")
+            node_name = name_or_node
+            node_fn = node
+
+        if node_name in self._nodes:
+            raise ValueError(f"Node `{node_name}` already exists")
+        self._nodes[node_name] = node_fn
+        self._node_options[node_name] = _normalize_node_state_option(state_option)
+        return node_name
+
+    def add_async_channel(self, name: str, typ: Any) -> None:
+        if name in self._async_channels:
+            raise ValueError(f"Channel `{name}` already exists")
+        self._async_channels[name] = _ChannelSpec(typ=typ)
+
+    def add_custom_outout_stream(self, name: str, typ: Any) -> None:
+        if name in self._custom_output_streams:
+            raise ValueError(f"Custom output stream `{name}` already exists")
+        self._custom_output_streams[name] = _ChannelSpec(typ=typ)
+
+    # Alias with corrected spelling.
+    def add_custom_output_stream(self, name: str, typ: Any) -> None:
+        self.add_custom_outout_stream(name, typ)
+
+    def add_entry_node(
+        self,
+        node: Callable[..., Any],
+        *,
+        state_option: dict[str, Any] | NodeStateOption | None = None,
+    ) -> str:
+        node_name = self.add_node(node, state_option=state_option)
+        self._entry_point = self._resolve_node_name(node_name)
+        return node_name
+
+    def add_finish_node(
+        self,
+        node: Callable[..., Any],
+        *,
+        state_option: dict[str, Any] | NodeStateOption | None = None,
+    ) -> str:
+        node_name = self.add_node(node, state_option=state_option)
+        self._finish_point = self._resolve_node_name(node_name)
+        return node_name
+
+    def _resolve_node_name(self, name_or_node: str | Callable[..., Any]) -> str:
+        if isinstance(name_or_node, str):
+            return name_or_node
+        node_name = _infer_node_name(name_or_node)
+        if node_name not in self._nodes:
+            self._nodes[node_name] = name_or_node
+        return node_name
+
+    def compile(self) -> CompiledGraphEngine[StateT]:
+        if self._entry_point is None:
+            raise ValueError("Entry point is not set")
+        if self._entry_point not in self._nodes:
+            raise ValueError(f"Entry point node `{self._entry_point}` does not exist")
+        if self._finish_point is not None and self._finish_point not in self._nodes:
+            raise ValueError(f"Finish point node `{self._finish_point}` does not exist")
+        return CompiledGraphEngine(
+            nodes=dict(self._nodes),
+            node_options=dict(self._node_options),
+            async_channels=dict(self._async_channels),
+            custom_output_streams=dict(self._custom_output_streams),
+            entry_point=self._entry_point,
+            finish_point=self._finish_point,
+        )
+
+
+class CompiledGraphEngine(Generic[StateT]):
+    """Executable runtime for `AdvancedStateGraph`."""
+
+    def __init__(
+        self,
+        *,
+        nodes: dict[str, Callable[..., Any]],
+        node_options: dict[str, NodeStateOption],
+        async_channels: dict[str, _ChannelSpec],
+        custom_output_streams: dict[str, _ChannelSpec],
+        entry_point: str,
+        finish_point: str | None,
+    ) -> None:
+        self._nodes = nodes
+        self._node_options = node_options
+        self._async_channels = async_channels
+        self._custom_output_streams = custom_output_streams
+        self._entry_point = entry_point
+        self._finish_point = finish_point
+
+    async def ainvoke(self, initial_state: StateT) -> StateT:
+        handler = await self.astart(initial_state)
+        return await handler
+
+    async def astart(
+        self, initial_state: StateT, *, stream_mode: str | None = None
+    ) -> GraphRunHandler[StateT]:
+        run = _GraphEngineRun(
+            nodes=self._nodes,
+            async_channel_specs=self._async_channels,
+            custom_output_stream_specs=self._custom_output_streams,
+            node_options=self._node_options,
+            entry_point=self._entry_point,
+            finish_point=self._finish_point,
+            stream_mode=stream_mode,
+        )
+        task = asyncio.create_task(run.run(initial_state))
+        return GraphRunHandler(run=run, task=task)
+
+
+class Context:
+    """Per-run context injected into advanced graph nodes."""
+
+    def __init__(self, run: _GraphEngineRun) -> None:
+        self._run = run
+
+    async def wait_for(
+        self, target: WaitCondition | AnyOfCondition | AllOfCondition
+    ) -> WaitForResult:
+        resumed = self._run._consume_resume_event(target)
+        if resumed is not None:
+            return resumed
+        raise WaitRequested(_target_to_suspend_payload(target))
+
+    def is_resume(self) -> bool:
+        return self._run._is_resume_execution()
+
+    # Go-style alias.
+    def IsResume(self) -> bool:
+        return self.is_resume()
+
+    def publish_to_channel(self, channel: str, value: Any) -> None:
+        self._run.publish_nowait(channel, value)
+
+    async def apublish_to_channel(self, channel: str, value: Any) -> None:
+        await self._run.publish(channel, value)
+
+    def send_custom_stream_event(self, stream_name: str, value: Any) -> None:
+        self._run.send_custom_stream_event(stream_name, value)
+
+
+class GraphRunHandler(Generic[StateT]):
+    """Handle for an active in-memory run."""
+
+    def __init__(self, *, run: _GraphEngineRun, task: asyncio.Task[StateT]) -> None:
+        self._run = run
+        self._task = task
+
+    async def apublish_to_channel(self, channel: str, value: Any) -> None:
+        if self._task.done():
+            raise RuntimeError("Run has already completed")
+        await self._run.publish(channel, value)
+
+    async def receive_stream(self, stream_name: str) -> Any | None:
+        # Use a separate thread pool from graph execution to avoid deadlock
+        # when LANGGRAPH_ADVANCED_GRAPH_PY_THREADS is configured to 1.
+        return await asyncio.to_thread(self._run.receive_stream_sync, stream_name)
+
+    def close_all_streams(self) -> None:
+        self._run.close_all_streams_sync()
+
+    async def aresult(self) -> StateT:
+        return await self._task
+
+    def __await__(self) -> Any:
+        return self._task.__await__()
+
+
+class _GraphEngineRun:
+    def __init__(
+        self,
+        *,
+        nodes: dict[str, Callable[..., Any]],
+        async_channel_specs: dict[str, _ChannelSpec],
+        custom_output_stream_specs: dict[str, _ChannelSpec],
+        node_options: dict[str, NodeStateOption],
+        entry_point: str,
+        finish_point: str | None,
+        stream_mode: str | None,
+    ) -> None:
+        self._nodes = nodes
+        self._entry_point = entry_point
+        self._node_options = node_options
+        self._finish_point = finish_point
+        self._stream_mode = stream_mode
+        self._rust_engine = PyRustEngine()
+        for name in async_channel_specs:
+            self._rust_engine.add_async_channel(name)
+        for stream_name in custom_output_stream_specs:
+            self._rust_engine.add_custom_output_stream(stream_name)
+        self._stream_ready = threading.Event()
+        if self._stream_mode is None:
+            self._stream_ready.set()
+        self._tasks: set[asyncio.Task[list[Send]]] = set()
+        self._finished = False
+        self._state: Any = None
+        self._local = threading.local()
+        self.context = Context(self)
+
+    async def run(self, initial_state: StateT) -> StateT:
+        finish_point = self._finish_point or ""
+        if self._stream_mode is not None:
+            try:
+                self._rust_engine.start_stream(self._stream_mode)
+            finally:
+                self._stream_ready.set()
+        loop = asyncio.get_running_loop()
+        try:
+            result_obj = await loop.run_in_executor(
+                _advanced_graph_executor(),
+                self._rust_engine.run_graph_py,
+                self._entry_point,
+                finish_point,
+                initial_state,
+                self._execute_node_for_rust,
+                None,
+                _node_locked_fields_payload(self._node_options),
+            )
+        finally:
+            self._stream_ready.set()
+        self._state = result_obj
+        return cast(StateT, self._state)
+
+    async def publish(self, channel: str, value: Any) -> None:
+        loop = asyncio.get_running_loop()
+        await loop.run_in_executor(
+            _advanced_graph_executor(),
+            self._publish_sync,
+            channel,
+            value,
+        )
+
+    def publish_nowait(self, channel: str, value: Any) -> None:
+        self._publish_sync(channel, value)
+
+    async def wait_for(
+        self, target: WaitCondition | AnyOfCondition | AllOfCondition
+    ) -> WaitForResult:
+        if isinstance(target, ChannelCondition):
+            value = await self._wait_for_channel_values(
+                target.channel, min=target.min, max=target.max
+            )
+            return WaitForResult(
+                conditions=[
+                    ConditionResult(
+                        met=True,
+                        channel_name=target.channel,
+                        values=_normalize_channel_values(value),
+                    )
+                ]
+            )
+        if isinstance(target, TimerCondition):
+            loop = asyncio.get_running_loop()
+            await loop.run_in_executor(
+                _advanced_graph_executor(),
+                self._rust_engine.wait_timer,
+                target.seconds,
+            )
+            return WaitForResult(conditions=[ConditionResult(met=True)])
+        if isinstance(target, AnyOfCondition):
+            raw_event = await self._wait_for_any_of(target)
+            return _wait_for_result_from_any_of_event(target, raw_event)
+        if isinstance(target, AllOfCondition):
+            raw_event = await self._wait_for_all_of(target)
+            return _wait_for_result_from_all_of_event(target, raw_event)
+        raise ValueError(f"Unsupported wait condition type: {type(target)!r}")
+
+    async def _wait_for_channel_values(
+        self, channel: str, min: int, max: int = 0
+    ) -> Any:
+        if min < 1:
+            raise ValueError("wait_for count `min` must be >= 1")
+        if max < 0:
+            raise ValueError("wait_for max count `max` must be >= 0")
+        if max != 0 and max < min:
+            raise ValueError("wait_for max count `max` must be 0 or >= min")
+        loop = asyncio.get_running_loop()
+        event = await loop.run_in_executor(
+            _advanced_graph_executor(),
+            self._rust_engine.wait_channel,
+            channel,
+            min,
+            max,
+        )
+        return event["value"]
+
+    async def _wait_for_any_of(self, condition: AnyOfCondition) -> dict[str, Any]:
+        if not condition.conditions:
+            raise ValueError("any_of() requires at least one condition")
+        payload = {
+            "conditions": [_condition_to_rust(cond) for cond in condition.conditions]
+        }
+        loop = asyncio.get_running_loop()
+        return await loop.run_in_executor(
+            _advanced_graph_executor(),
+            self._rust_engine.wait_any_of_obj,
+            payload,
+        )
+
+    async def _wait_for_all_of(self, condition: AllOfCondition) -> dict[str, Any]:
+        if not condition.conditions:
+            raise ValueError("all_of() requires at least one condition")
+        payload = {
+            "conditions": [_condition_to_rust(cond) for cond in condition.conditions]
+        }
+        loop = asyncio.get_running_loop()
+        return await loop.run_in_executor(
+            _advanced_graph_executor(),
+            self._rust_engine.wait_all_of_obj,
+            payload,
+        )
+
+    def _publish_sync(self, channel: str, value: Any) -> None:
+        self._rust_engine.publish_obj(channel, value)
+
+    def send_custom_stream_event(self, stream_name: str, value: Any) -> None:
+        self._rust_engine.send_custom_stream_event_obj(stream_name, value)
+
+    def receive_stream_sync(self, stream_name: str) -> Any | None:
+        self._stream_ready.wait()
+        return self._rust_engine.receive_stream_obj(stream_name)
+
+    def close_all_streams_sync(self) -> None:
+        self._rust_engine.close_all_streams()
+
+    def _execute_node_for_rust(
+        self, node_name: str, node_input: Any, state: Any
+    ) -> dict[str, Any]:
+        node_input, resume_event = _unwrap_resume_input(node_input)
+        self._set_resume_event(resume_event)
+        self._set_is_resume(resume_event is not None)
+        if node_name not in self._nodes:
+            raise ValueError(f"Unknown node `{node_name}`")
+        node = self._nodes[node_name]
+        try:
+            result = _invoke_node(node, self.context, node_input, state)
+            if inspect.isawaitable(result):
+                result = self._run_awaitable_in_worker(
+                    cast(Coroutine[Any, Any, Any], result)
+                )
+        except WaitRequested as suspend:
+            return {"suspend": suspend.payload}
+        finally:
+            self._set_resume_event(None)
+            self._set_is_resume(False)
+
+        if isinstance(result, Command):
+            update = result.update
+            sends = _normalize_goto(result.goto, default_input=node_input)
+        else:
+            update = result
+            sends = _normalize_result_to_sends(result, default_input=node_input)
+
+        return {
+            "update": update,
+            "sends": [
+                {"node": _resolve_target_name(send.node), "arg": send.arg}
+                for send in sends
+            ],
+        }
+
+    def _set_resume_event(self, event: dict[str, Any] | None) -> None:
+        self._local.resume_event = event
+
+    def _set_is_resume(self, is_resume: bool) -> None:
+        self._local.is_resume = is_resume
+
+    def _is_resume_execution(self) -> bool:
+        return bool(getattr(self._local, "is_resume", False))
+
+    def _consume_resume_event(
+        self, target: WaitCondition | AnyOfCondition | AllOfCondition
+    ) -> WaitForResult | None:
+        event = cast(dict[str, Any] | None, getattr(self._local, "resume_event", None))
+        if event is None:
+            return None
+        self._local.resume_event = None
+        return _wait_for_result_from_resume_event(target, event)
+
+    def _run_awaitable_in_worker(self, awaitable: Coroutine[Any, Any, Any]) -> Any:
+        # Create and close a dedicated loop per execution to avoid
+        # interpreter-shutdown warnings from lingering thread-local loops.
+        return asyncio.run(awaitable)
+
+
+def _normalize_result_to_sends(result: Any, *, default_input: Any) -> list[Send]:
+    if result is None:
+        return []
+    if isinstance(result, Send):
+        return [result]
+    if callable(result):
+        return [Send(_infer_node_name(result), default_input)]
+    if isinstance(result, str):
+        return [Send(result, default_input)]
+    if isinstance(result, Sequence) and not isinstance(result, (str, bytes)):
+        sends: list[Send] = []
+        for item in result:
+            if isinstance(item, Send):
+                sends.append(item)
+            elif callable(item):
+                sends.append(Send(_infer_node_name(item), default_input))
+            elif isinstance(item, str):
+                sends.append(Send(item, default_input))
+        return sends
+    return []
+
+
+def _normalize_goto(goto: Any, *, default_input: Any) -> list[Send]:
+    if not goto:
+        return []
+    if isinstance(goto, Send):
+        return [goto]
+    if callable(goto):
+        return [Send(_infer_node_name(goto), default_input)]
+    if isinstance(goto, str):
+        return [Send(goto, default_input)]
+    if isinstance(goto, Sequence):
+        sends: list[Send] = []
+        for item in goto:
+            if isinstance(item, Send):
+                sends.append(item)
+            elif callable(item):
+                sends.append(Send(_infer_node_name(item), default_input))
+            elif isinstance(item, str):
+                sends.append(Send(item, default_input))
+        return sends
+    return []
+
+
+def _normalize_node_state_option(
+    state_option: dict[str, Any] | NodeStateOption | None,
+) -> NodeStateOption:
+    if state_option is None:
+        return NodeStateOption()
+    if isinstance(state_option, NodeStateOption):
+        return state_option
+    if not isinstance(state_option, dict):
+        raise TypeError("state_option must be a dict or NodeStateOption")
+    locked_fields_raw = state_option.get("locked_fields", ())
+    if locked_fields_raw is None:
+        return NodeStateOption()
+    if not isinstance(locked_fields_raw, Sequence) or isinstance(
+        locked_fields_raw, (str, bytes)
+    ):
+        raise TypeError("state_option['locked_fields'] must be a sequence of strings")
+    locked_fields: list[str] = []
+    for field in locked_fields_raw:
+        if not isinstance(field, str):
+            raise TypeError("locked field names must be strings")
+        if not field:
+            continue
+        locked_fields.append(field)
+    return NodeStateOption(locked_fields=tuple(locked_fields))
+
+
+def _node_locked_fields_payload(
+    node_options: dict[str, NodeStateOption],
+) -> dict[str, list[str]]:
+    payload: dict[str, list[str]] = {}
+    for node_name, option in node_options.items():
+        if not option.locked_fields:
+            continue
+        payload[node_name] = list(option.locked_fields)
+    return payload
+
+
+def channel_condition(channel: str, min: int = 1, max: int = 0) -> ChannelCondition:
+    if min < 1:
+        raise ValueError("channel_condition `min` must be >= 1")
+    if max < 0:
+        raise ValueError("channel_condition `max` must be >= 0")
+    if max != 0 and max < min:
+        raise ValueError("channel_condition `max` must be 0 or >= min")
+    return ChannelCondition(channel=channel, min=min, max=max)
+
+
+def timer_condition(
+    timeout: float | timedelta | None = None,
+    *,
+    seconds: float | None = None,
+    minutes: float | None = None,
+) -> TimerCondition:
+    if timeout is not None and (seconds is not None or minutes is not None):
+        raise ValueError(
+            "Provide either `timeout` or named `seconds`/`minutes`, not both"
+        )
+
+    if isinstance(timeout, timedelta):
+        resolved_seconds = timeout.total_seconds()
+    elif isinstance(timeout, (int, float)):
+        resolved_seconds = float(timeout)
+    else:
+        resolved_seconds = 0.0
+        if seconds is not None:
+            resolved_seconds += float(seconds)
+        if minutes is not None:
+            resolved_seconds += float(minutes) * 60.0
+
+    if resolved_seconds <= 0:
+        raise ValueError("timer_condition must be greater than 0 seconds")
+    return TimerCondition(seconds=resolved_seconds)
+
+
+def any_of(*conditions: WaitCondition) -> AnyOfCondition:
+    if not conditions:
+        raise ValueError("any_of() requires at least one condition")
+    return AnyOfCondition(conditions=tuple(conditions))
+
+
+def all_of(*conditions: WaitCondition) -> AllOfCondition:
+    if not conditions:
+        raise ValueError("all_of() requires at least one condition")
+    return AllOfCondition(conditions=tuple(conditions))
+
+
+def _normalize_channel_values(value: Any) -> list[Any]:
+    if isinstance(value, list):
+        return value
+    return [value]
+
+
+def _wait_for_result_from_resume_event(
+    target: WaitCondition | AnyOfCondition | AllOfCondition, event: dict[str, Any]
+) -> WaitForResult:
+    if isinstance(target, ChannelCondition):
+        return WaitForResult(
+            conditions=[
+                ConditionResult(
+                    met=True,
+                    channel_name=target.channel,
+                    values=_normalize_channel_values(event.get("value")),
+                )
+            ]
+        )
+    if isinstance(target, TimerCondition):
+        return WaitForResult(conditions=[ConditionResult(met=True)])
+    if isinstance(target, AllOfCondition):
+        return _wait_for_result_from_all_of_event(target, event)
+    return _wait_for_result_from_any_of_event(target, event)
+
+
+def _wait_for_result_from_any_of_event(
+    target: AnyOfCondition, event: dict[str, Any]
+) -> WaitForResult:
+    results = [ConditionResult(met=False) for _ in target.conditions]
+    condition = event.get("condition")
+
+    if condition == "timer":
+        for idx, cond in enumerate(target.conditions):
+            if isinstance(cond, TimerCondition):
+                results[idx] = ConditionResult(met=True)
+                break
+        return WaitForResult(conditions=results)
+
+    if condition != "channel":
+        return WaitForResult(conditions=results)
+
+    channel = cast(str | None, event.get("channel"))
+    value = event.get("value")
+
+    if channel == "__any_of__" and isinstance(value, list):
+        matched = list(value)
+        cursor = 0
+        for idx, cond in enumerate(target.conditions):
+            if not isinstance(cond, ChannelCondition):
+                continue
+            if cursor >= len(matched):
+                continue
+            item = matched[cursor]
+            if (
+                isinstance(item, dict)
+                and item.get("channel") == cond.channel
+                and "value" in item
+            ):
+                results[idx] = ConditionResult(
+                    met=True,
+                    channel_name=cond.channel,
+                    values=_normalize_channel_values(item.get("value")),
+                )
+                cursor += 1
+        return WaitForResult(conditions=results)
+
+    for idx, cond in enumerate(target.conditions):
+        if isinstance(cond, ChannelCondition) and cond.channel == channel:
+            results[idx] = ConditionResult(
+                met=True,
+                channel_name=cond.channel,
+                values=_normalize_channel_values(value),
+            )
+            break
+    return WaitForResult(conditions=results)
+
+
+def _wait_for_result_from_all_of_event(
+    target: AllOfCondition, event: dict[str, Any]
+) -> WaitForResult:
+    results = [ConditionResult(met=False) for _ in target.conditions]
+    condition = event.get("condition")
+
+    # all_of completion implies all timer conditions are satisfied.
+    for idx, cond in enumerate(target.conditions):
+        if isinstance(cond, TimerCondition):
+            results[idx] = ConditionResult(met=True)
+
+    if condition != "channel":
+        return WaitForResult(conditions=results)
+
+    channel = cast(str | None, event.get("channel"))
+    value = event.get("value")
+
+    if channel == "__all_of__" and isinstance(value, list):
+        matched_by_channel: dict[str, Any] = {}
+        for item in value:
+            if isinstance(item, dict) and isinstance(item.get("channel"), str):
+                matched_by_channel[cast(str, item["channel"])] = item.get("value")
+
+        for idx, cond in enumerate(target.conditions):
+            if not isinstance(cond, ChannelCondition):
+                continue
+            if cond.channel not in matched_by_channel:
+                continue
+            results[idx] = ConditionResult(
+                met=True,
+                channel_name=cond.channel,
+                values=_normalize_channel_values(matched_by_channel[cond.channel]),
+            )
+        return WaitForResult(conditions=results)
+
+    for idx, cond in enumerate(target.conditions):
+        if isinstance(cond, ChannelCondition) and cond.channel == channel:
+            results[idx] = ConditionResult(
+                met=True,
+                channel_name=cond.channel,
+                values=_normalize_channel_values(value),
+            )
+            break
+    return WaitForResult(conditions=results)
+
+
+def _condition_to_rust(condition: WaitCondition) -> dict[str, Any]:
+    if isinstance(condition, ChannelCondition):
+        return {
+            "kind": "channel",
+            "channel": condition.channel,
+            "min": condition.min,
+            "max": condition.max,
+        }
+    if isinstance(condition, TimerCondition):
+        return {"kind": "timer", "seconds": condition.seconds}
+    raise TypeError(f"Unsupported condition type: {type(condition)!r}")
+
+
+def _target_to_suspend_payload(
+    target: WaitCondition | AnyOfCondition | AllOfCondition,
+) -> dict[str, Any]:
+    if isinstance(target, AnyOfCondition):
+        return {
+            "kind": "any_of",
+            "any_of": {
+                "conditions": [_condition_to_rust(cond) for cond in target.conditions]
+            },
+        }
+    if isinstance(target, AllOfCondition):
+        return {
+            "kind": "all_of",
+            "all_of": {
+                "conditions": [_condition_to_rust(cond) for cond in target.conditions]
+            },
+        }
+    return {"kind": "condition", "condition": _condition_to_rust(target)}
+
+
+def _unwrap_resume_input(node_input: Any) -> tuple[Any, dict[str, Any] | None]:
+    if not isinstance(node_input, dict):
+        return node_input, None
+    if "__lg_resume_arg__" not in node_input or "__lg_resume_event__" not in node_input:
+        return node_input, None
+    resume_arg = node_input["__lg_resume_arg__"]
+    resume_event = node_input["__lg_resume_event__"]
+    if isinstance(resume_event, dict):
+        return resume_arg, resume_event
+    return resume_arg, None
+
+
+def _infer_node_name(node: Callable[..., Any]) -> str:
+    node_name = getattr(node, "__name__", "")
+    if not node_name or node_name == "<lambda>":
+        raise ValueError("Cannot infer node name from anonymous callable")
+    return node_name
+
+
+def _resolve_target_name(target: Any) -> str:
+    if isinstance(target, str):
+        return target
+    if callable(target):
+        return _infer_node_name(target)
+    raise ValueError(f"Unsupported node target type: {type(target)!r}")
+
+
+def _invoke_node(node: Callable[..., Any], ctx: Context, node_input: Any, state: Any) -> Any:
+    try:
+        params = list(inspect.signature(node).parameters.values())
+    except (TypeError, ValueError):
+        params = []
+
+    if not params:
+        return node()
+
+    names = [param.name.lower() for param in params]
+    has_ctx = [("ctx" in name or "context" in name) for name in names]
+    has_state = [("state" in name) for name in names]
+    has_input = [("input" in name) for name in names]
+
+    kwargs: dict[str, Any] = {}
+    unresolved = False
+    for idx, param in enumerate(params):
+        if has_ctx[idx]:
+            kwargs[param.name] = ctx
+        elif has_state[idx]:
+            kwargs[param.name] = state
+        elif has_input[idx]:
+            kwargs[param.name] = node_input
+        else:
+            unresolved = True
+
+    if kwargs and not unresolved:
+        return node(**kwargs)
+
+    if len(params) == 1:
+        if has_ctx[0]:
+            return node(ctx)
+        if has_state[0]:
+            return node(state)
+        return node(node_input)
+
+    if len(params) == 2:
+        if has_ctx[0] and has_state[1]:
+            return node(ctx, state)
+        if has_ctx[0] and has_input[1]:
+            return node(ctx, node_input)
+        if has_input[0] and has_state[1]:
+            return node(node_input, state)
+        if has_state[0] and has_input[1]:
+            return node(state, node_input)
+        if has_state[0]:
+            return node(state, node_input)
+        if has_state[1]:
+            return node(node_input, state)
+        if has_ctx[0]:
+            return node(ctx, node_input)
+        return node(node_input, state)
+
+    return node(ctx, node_input, state)
+

saf-python-sdk/python/saf_python_sdk/py.typed

@@ -0,0 +1 @@
+

saf-python-sdk/python/saf_python_sdk/types.py

@@ -0,0 +1,19 @@
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+from typing import Any, Generic, TypeVar
+
+N = TypeVar("N")
+
+
+@dataclass
+class Send(Generic[N]):
+    node: N
+    arg: Any = None
+
+
+@dataclass
+class Command:
+    update: Any = None
+    goto: Any = field(default=None)
+

saf-python-sdk/tests/advanced-graph/benchmark_stategraph_vs_advancedgraph.py

@@ -0,0 +1,314 @@
+from __future__ import annotations
+
+import asyncio
+import os
+import time
+from typing import Any
+
+# Configure advanced-graph runtime pools for this benchmark run.
+os.environ["LANGGRAPH_RUN_POOL_SIZE"] = "10"
+os.environ["LANGGRAPH_NODE_POOL_SIZE"] = "1000"
+
+from saf_python_sdk.advanced_graph import (
+    AdvancedStateGraph,
+    channel_condition,
+    timer_condition,
+)
+from saf_python_sdk.types import Command, Send
+from langgraph.graph import END, START, StateGraph
+
+RUNS = 100
+MIDDLE_COUNT = 10
+SLEEP_SECONDS = 2.0
+BLOCKING_SECONDS = 0.1
+STATE_BYTES = 10 * 1024
+
+
+def make_initial_state() -> dict[str, Any]:
+    return {"payload": "x" * STATE_BYTES, "done": False}
+
+
+def build_advanced_parallel() -> Any:
+    graph: AdvancedStateGraph[dict[str, Any]] = AdvancedStateGraph(dict)
+    done_channel = "__bench_done_channel"
+    graph.add_async_channel(done_channel, str)
+
+    async def start_node(state: dict[str, Any]) -> Command:
+        _ = state
+        sends = [Send(f"middle_{i}", None) for i in range(MIDDLE_COUNT)]
+        sends.append(Send("end_node", None))
+        return Command(goto=sends)
+
+    async def end_node(ctx: Any, state: dict[str, Any]) -> dict[str, Any]:
+        await ctx.wait_for(channel_condition(done_channel, min=MIDDLE_COUNT))
+        out = dict(state)
+        out["done"] = True
+        return out
+
+    graph.add_entry_node(start_node)
+    for i in range(MIDDLE_COUNT):
+
+        async def middle_node(ctx: Any, state: dict[str, Any], idx: int = i) -> None:
+            _ = idx
+            _ = state
+            await ctx.wait_for(timer_condition(seconds=SLEEP_SECONDS))
+            ctx.publish_to_channel(done_channel, "done")
+
+        graph.add_node(f"middle_{i}", middle_node)
+    graph.add_finish_node(end_node)
+    return graph.compile()
+
+
+def build_advanced_sequential() -> Any:
+    graph: AdvancedStateGraph[dict[str, Any]] = AdvancedStateGraph(dict)
+
+    async def start_node(state: dict[str, Any]) -> Command:
+        _ = state
+        return Command(goto=Send("middle_0", None))
+
+    async def end_node(state: dict[str, Any]) -> dict[str, Any]:
+        out = dict(state)
+        out["done"] = True
+        return out
+
+    graph.add_entry_node(start_node)
+
+    def make_middle(target: str):
+        async def middle_node(ctx: Any, state: dict[str, Any]) -> Command:
+            _ = state
+            await ctx.wait_for(timer_condition(seconds=SLEEP_SECONDS))
+            return Command(goto=Send(target, None))
+
+        return middle_node
+
+    for i in range(MIDDLE_COUNT):
+        next_name = "end_node" if i == MIDDLE_COUNT - 1 else f"middle_{i+1}"
+        graph.add_node(f"middle_{i}", make_middle(next_name))
+    graph.add_finish_node(end_node)
+    return graph.compile()
+
+
+def build_stategraph_parallel() -> Any:
+    graph = StateGraph(dict)
+
+    async def start_node(state: dict[str, Any]) -> None:
+        _ = state
+
+    async def end_node(state: dict[str, Any]) -> dict[str, Any]:
+        out = dict(state)
+        out["done"] = True
+        return out
+
+    graph.add_node("start_node", start_node)
+    for i in range(MIDDLE_COUNT):
+
+        async def middle_node(state: dict[str, Any], idx: int = i) -> None:
+            _ = idx
+            _ = state
+            await asyncio.sleep(SLEEP_SECONDS)
+
+        graph.add_node(f"middle_{i}", middle_node)
+    graph.add_node("end_node", end_node)
+
+    graph.add_edge(START, "start_node")
+    for i in range(MIDDLE_COUNT):
+        graph.add_edge("start_node", f"middle_{i}")
+        graph.add_edge(f"middle_{i}", "end_node")
+    graph.add_edge("end_node", END)
+    return graph.compile()
+
+
+def build_stategraph_sequential() -> Any:
+    graph = StateGraph(dict)
+
+    async def start_node(state: dict[str, Any]) -> None:
+        _ = state
+
+    async def end_node(state: dict[str, Any]) -> dict[str, Any]:
+        out = dict(state)
+        out["done"] = True
+        return out
+
+    graph.add_node("start_node", start_node)
+    for i in range(MIDDLE_COUNT):
+
+        async def middle_node(state: dict[str, Any], idx: int = i) -> None:
+            _ = idx
+            _ = state
+            await asyncio.sleep(SLEEP_SECONDS)
+
+        graph.add_node(f"middle_{i}", middle_node)
+    graph.add_node("end_node", end_node)
+
+    graph.add_edge(START, "start_node")
+    graph.add_edge("start_node", "middle_0")
+    for i in range(MIDDLE_COUNT - 1):
+        graph.add_edge(f"middle_{i}", f"middle_{i+1}")
+    graph.add_edge(f"middle_{MIDDLE_COUNT - 1}", "end_node")
+    graph.add_edge("end_node", END)
+    return graph.compile()
+
+
+def build_advanced_parallel_blocking() -> Any:
+    graph: AdvancedStateGraph[dict[str, Any]] = AdvancedStateGraph(dict)
+    done_channel = "__bench_done_channel_blocking"
+    graph.add_async_channel(done_channel, str)
+
+    async def start_node(state: dict[str, Any]) -> Command:
+        _ = state
+        sends = [Send(f"middle_blocking_{i}", None) for i in range(MIDDLE_COUNT)]
+        sends.append(Send("end_node_blocking", None))
+        return Command(goto=sends)
+
+    async def end_node_blocking(ctx: Any, state: dict[str, Any]) -> dict[str, Any]:
+        await ctx.wait_for(channel_condition(done_channel, min=MIDDLE_COUNT))
+        out = dict(state)
+        out["done"] = True
+        return out
+
+    graph.add_entry_node(start_node)
+    for i in range(MIDDLE_COUNT):
+
+        async def middle_blocking(
+            ctx: Any, state: dict[str, Any], idx: int = i
+        ) -> None:
+            _ = idx
+            _ = state
+            time.sleep(BLOCKING_SECONDS)
+            ctx.publish_to_channel(done_channel, "done")
+
+        graph.add_node(f"middle_blocking_{i}", middle_blocking)
+    graph.add_finish_node(end_node_blocking)
+    return graph.compile()
+
+
+def build_advanced_sequential_blocking() -> Any:
+    graph: AdvancedStateGraph[dict[str, Any]] = AdvancedStateGraph(dict)
+
+    async def start_node(state: dict[str, Any]) -> Command:
+        _ = state
+        return Command(goto=Send("middle_blocking_seq_0", None))
+
+    async def end_node_blocking_seq(state: dict[str, Any]) -> dict[str, Any]:
+        out = dict(state)
+        out["done"] = True
+        return out
+
+    graph.add_entry_node(start_node)
+
+    def make_middle(target: str):
+        async def middle_blocking_seq(state: dict[str, Any]) -> Command:
+            _ = state
+            time.sleep(BLOCKING_SECONDS)
+            return Command(goto=Send(target, None))
+
+        return middle_blocking_seq
+
+    for i in range(MIDDLE_COUNT):
+        next_name = (
+            "end_node_blocking_seq"
+            if i == MIDDLE_COUNT - 1
+            else f"middle_blocking_seq_{i+1}"
+        )
+        graph.add_node(f"middle_blocking_seq_{i}", make_middle(next_name))
+    graph.add_finish_node(end_node_blocking_seq)
+    return graph.compile()
+
+
+def build_stategraph_parallel_blocking() -> Any:
+    graph = StateGraph(dict)
+
+    async def start_node(state: dict[str, Any]) -> None:
+        _ = state
+
+    async def end_node(state: dict[str, Any]) -> dict[str, Any]:
+        out = dict(state)
+        out["done"] = True
+        return out
+
+    graph.add_node("start_node", start_node)
+    for i in range(MIDDLE_COUNT):
+
+        async def middle_blocking(state: dict[str, Any], idx: int = i) -> None:
+            _ = idx
+            _ = state
+            time.sleep(BLOCKING_SECONDS)
+
+        graph.add_node(f"middle_blocking_{i}", middle_blocking)
+    graph.add_node("end_node", end_node)
+
+    graph.add_edge(START, "start_node")
+    for i in range(MIDDLE_COUNT):
+        graph.add_edge("start_node", f"middle_blocking_{i}")
+        graph.add_edge(f"middle_blocking_{i}", "end_node")
+    graph.add_edge("end_node", END)
+    return graph.compile()
+
+
+def build_stategraph_sequential_blocking() -> Any:
+    graph = StateGraph(dict)
+
+    async def start_node(state: dict[str, Any]) -> None:
+        _ = state
+
+    async def end_node(state: dict[str, Any]) -> dict[str, Any]:
+        out = dict(state)
+        out["done"] = True
+        return out
+
+    graph.add_node("start_node", start_node)
+    for i in range(MIDDLE_COUNT):
+
+        async def middle_blocking_seq(state: dict[str, Any], idx: int = i) -> None:
+            _ = idx
+            _ = state
+            time.sleep(BLOCKING_SECONDS)
+
+        graph.add_node(f"middle_blocking_seq_{i}", middle_blocking_seq)
+    graph.add_node("end_node", end_node)
+
+    graph.add_edge(START, "start_node")
+    graph.add_edge("start_node", "middle_blocking_seq_0")
+    for i in range(MIDDLE_COUNT - 1):
+        graph.add_edge(
+            f"middle_blocking_seq_{i}",
+            f"middle_blocking_seq_{i+1}",
+        )
+    graph.add_edge(f"middle_blocking_seq_{MIDDLE_COUNT - 1}", "end_node")
+    graph.add_edge("end_node", END)
+    return graph.compile()
+
+
+async def run_benchmark(name: str, compiled: Any) -> float:
+    started = time.perf_counter()
+    tasks = [asyncio.create_task(compiled.ainvoke(make_initial_state())) for _ in range(RUNS)]
+    results = await asyncio.gather(*tasks)
+    elapsed = time.perf_counter() - started
+    if not all(item.get("done") is True for item in results):
+        raise RuntimeError(f"{name} produced unfinished runs")
+    return elapsed
+
+
+async def main() -> None:
+    suites = [
+        ("advanced-graph-parallel", build_advanced_parallel()),
+        ("advanced-graph-sequential", build_advanced_sequential()),
+        ("state-graph-parallel", build_stategraph_parallel()),
+        ("state-graph-sequential", build_stategraph_sequential()),
+        ("advanced-graph-parallel-blocking", build_advanced_parallel_blocking()),
+        ("advanced-graph-sequential-blocking", build_advanced_sequential_blocking()),
+        ("state-graph-parallel-blocking", build_stategraph_parallel_blocking()),
+        ("state-graph-sequential-blocking", build_stategraph_sequential_blocking()),
+    ]
+    print(
+        f"runs={RUNS}, middle_nodes={MIDDLE_COUNT}, sleep={SLEEP_SECONDS}s, "
+        f"blocking_sleep={BLOCKING_SECONDS}s, state_bytes={STATE_BYTES}"
+    )
+    for name, compiled in suites:
+        elapsed = await run_benchmark(name, compiled)
+        print(f"{name}: {elapsed:.3f}s")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
+

saf-python-sdk/tests/advanced-graph/test_primitives.py

@@ -0,0 +1,305 @@
+import asyncio
+import time
+import pytest
+from typing_extensions import TypedDict
+
+from saf_python_sdk.advanced_graph import (
+    AdvancedStateGraph,
+    Context,
+    all_of,
+    any_of,
+    channel_condition,
+    timer_condition,
+)
+from saf_python_sdk.types import Command, Send
+
+pytestmark = pytest.mark.anyio
+
+
+class PrimitiveState(TypedDict):
+    counter: int
+    logs: list[str]
+    done: str | None
+
+
+async def test_input_and_state_primitives_are_compatible() -> None:
+    graph = AdvancedStateGraph(PrimitiveState)
+
+    async def start_node(state: PrimitiveState) -> Command:
+        state["logs"].append(f"start:counter={state['counter']}")
+        return Command(goto=Send("middle_node", "from_start"))
+
+    async def middle_node(ctx: Context, tool_input: str, state: PrimitiveState) -> Command:
+        state["logs"].append(f"middle:input={tool_input}")
+        return Command(update=state, goto=Send("finish_node", "from_middle"))
+
+    async def finish_node(payload: str, state: PrimitiveState) -> dict[str, object]:
+        state["logs"].append(f"finish:input={payload}")
+        return {
+            "logs": state["logs"],
+            "counter": state["counter"],
+            "done": payload,
+        }
+
+    graph.add_entry_node(start_node)
+    graph.add_node(middle_node)
+    graph.add_finish_node(finish_node)
+
+    result = await graph.compile().ainvoke({"counter": 7, "logs": [], "done": None})
+    assert result["counter"] == 7
+    assert result["done"] == "from_middle"
+    assert result["logs"] == [
+        "start:counter=7",
+        "middle:input=from_start",
+        "finish:input=from_middle",
+    ]
+
+
+async def test_run_ends_without_finish_node() -> None:
+    graph = AdvancedStateGraph(PrimitiveState)
+
+    async def start_node(state: PrimitiveState) -> Command:
+        state["logs"].append("start")
+        return Command(update=state, goto=Send("middle_node", "from_start"))
+
+    async def middle_node(input: str, state: PrimitiveState) -> dict[str, object]:
+        state["logs"].append(f"middle:{input}")
+        return {"counter": state["counter"] + 1, "logs": state["logs"], "done": "stopped"}
+
+    graph.add_entry_node(start_node)
+    graph.add_node(middle_node)
+
+    result = await graph.compile().ainvoke({"counter": 7, "logs": [], "done": None})
+    assert result["counter"] == 8
+    assert result["done"] == "stopped"
+    assert result["logs"] == ["start", "middle:from_start"]
+
+
+async def test_channel_wait_respects_max_m() -> None:
+    graph = AdvancedStateGraph(PrimitiveState)
+    graph.add_async_channel("events", list[str])
+
+    async def start_node(ctx: Context, state: PrimitiveState) -> Command:
+        ctx.publish_to_channel("events", "a")
+        ctx.publish_to_channel("events", "b")
+        ctx.publish_to_channel("events", "c")
+        return Command(update=state, goto=Send("wait_node", None))
+
+    async def wait_node(ctx: Context, _input: None, state: PrimitiveState) -> dict[str, object]:
+        result = await ctx.wait_for(channel_condition("events", min=2, max=4))
+        values = result.conditions[0].values or []
+        assert isinstance(values, list)
+        return {"counter": len(values), "logs": values, "done": "ok"}
+
+    graph.add_entry_node(start_node)
+    graph.add_finish_node(wait_node)
+
+    result = await graph.compile().ainvoke({"counter": 0, "logs": [], "done": None})
+    assert result["counter"] == 3
+    assert result["logs"] == ["a", "b", "c"]
+    assert result["done"] == "ok"
+
+
+async def test_any_of_consumes_all_ready_channels() -> None:
+    graph = AdvancedStateGraph(PrimitiveState)
+    graph.add_async_channel("alpha", str)
+    graph.add_async_channel("beta", str)
+
+    async def start_node(ctx: Context, state: PrimitiveState) -> Command:
+        ctx.publish_to_channel("alpha", "a1")
+        ctx.publish_to_channel("beta", "b1")
+        return Command(update=state, goto=Send("wait_node", None))
+
+    async def wait_node(ctx: Context, _input: None, state: PrimitiveState) -> Command:
+        first = await ctx.wait_for(
+            any_of(channel_condition("alpha"), channel_condition("beta"))
+        )
+        assert len(first.conditions) == 2
+        assert first.conditions[0].met is True
+        assert first.conditions[0].channel_name == "alpha"
+        assert first.conditions[0].values == ["a1"]
+        assert first.conditions[1].met is True
+        assert first.conditions[1].channel_name == "beta"
+        assert first.conditions[1].values == ["b1"]
+        ctx.publish_to_channel("beta", "b2")
+        return Command(
+            update={"counter": 1, "logs": ["matched=2"], "done": None},
+            goto=Send("verify_node", None),
+        )
+
+    async def verify_node(
+        ctx: Context, _input: None, state: PrimitiveState
+    ) -> dict[str, object]:
+        second = await ctx.wait_for(channel_condition("beta"))
+        values = second.conditions[0].values or []
+        return {
+            "counter": 2,
+            "logs": [*state["logs"], f"beta={values[0]}"],
+            "done": "ok",
+        }
+
+    graph.add_entry_node(start_node)
+    graph.add_node(wait_node)
+    graph.add_finish_node(verify_node)
+
+    result = await graph.compile().ainvoke({"counter": 0, "logs": [], "done": None})
+    assert result["counter"] == 2
+    assert result["logs"] == [
+        "matched=2",
+        "beta=b2",
+    ]
+    assert result["done"] == "ok"
+
+
+async def test_all_of_waits_until_all_channels_are_ready() -> None:
+    graph = AdvancedStateGraph(PrimitiveState)
+    graph.add_async_channel("alpha", str)
+    graph.add_async_channel("beta", str)
+
+    async def start_node(ctx: Context, state: PrimitiveState) -> Command:
+        ctx.publish_to_channel("alpha", "a1")
+        return Command(
+            update=state,
+            goto=[Send("wait_node", None), Send("publish_beta_node", None)],
+        )
+
+    async def publish_beta_node(ctx: Context, _input: None, state: PrimitiveState) -> Command:
+        await ctx.wait_for(timer_condition(seconds=0.02))
+        ctx.publish_to_channel("beta", "b1")
+        return Command(update=state)
+
+    async def wait_node(ctx: Context, _input: None, state: PrimitiveState) -> dict[str, object]:
+        waited = await ctx.wait_for(
+            all_of(channel_condition("alpha"), channel_condition("beta"))
+        )
+        assert len(waited.conditions) == 2
+        assert waited.conditions[0].met is True
+        assert waited.conditions[0].channel_name == "alpha"
+        assert waited.conditions[0].values == ["a1"]
+        assert waited.conditions[1].met is True
+        assert waited.conditions[1].channel_name == "beta"
+        assert waited.conditions[1].values == ["b1"]
+        return {"counter": 1, "logs": ["all_of_channels"], "done": "ok"}
+
+    graph.add_entry_node(start_node)
+    graph.add_node(publish_beta_node)
+    graph.add_finish_node(wait_node)
+
+    result = await graph.compile().ainvoke({"counter": 0, "logs": [], "done": None})
+    assert result["counter"] == 1
+    assert result["logs"] == ["all_of_channels"]
+    assert result["done"] == "ok"
+
+
+async def test_all_of_channel_and_timer_marks_both_conditions() -> None:
+    graph = AdvancedStateGraph(PrimitiveState)
+    graph.add_async_channel("alpha", str)
+
+    async def start_node(ctx: Context, state: PrimitiveState) -> Command:
+        ctx.publish_to_channel("alpha", "a1")
+        return Command(update=state, goto=Send("wait_node", None))
+
+    async def wait_node(ctx: Context, _input: None, state: PrimitiveState) -> dict[str, object]:
+        waited = await ctx.wait_for(
+            all_of(channel_condition("alpha"), timer_condition(seconds=0.02))
+        )
+        assert len(waited.conditions) == 2
+        assert waited.conditions[0].met is True
+        assert waited.conditions[0].channel_name == "alpha"
+        assert waited.conditions[0].values == ["a1"]
+        assert waited.conditions[1].met is True
+        return {"counter": 1, "logs": ["all_of_channel_timer"], "done": "ok"}
+
+    graph.add_entry_node(start_node)
+    graph.add_finish_node(wait_node)
+
+    result = await graph.compile().ainvoke({"counter": 0, "logs": [], "done": None})
+    assert result["counter"] == 1
+    assert result["logs"] == ["all_of_channel_timer"]
+    assert result["done"] == "ok"
+
+
+async def test_is_resume_avoids_duplicate_side_effects() -> None:
+    graph = AdvancedStateGraph(PrimitiveState)
+    db_writes: list[str] = []
+
+    async def start_node(state: PrimitiveState) -> Command:
+        return Command(
+            update={"counter": 0, "logs": [], "done": None},
+            goto=Send("wait_node", None),
+        )
+
+    async def wait_node(ctx: Context, _input: None, state: PrimitiveState) -> Command:
+        if not ctx.IsResume():
+            # Simulate one-time side effect (e.g. database write).
+            db_writes.append("write")
+        await ctx.wait_for(timer_condition(seconds=0.02))
+        state["logs"].append(f"resume={ctx.IsResume()}")
+        return Command(update=state, goto=Send("finish_node", None))
+
+    async def finish_node(_input: None, state: PrimitiveState) -> dict[str, object]:
+        return {"counter": state["counter"], "logs": state["logs"], "done": "ok"}
+
+    graph.add_entry_node(start_node)
+    graph.add_node(wait_node)
+    graph.add_finish_node(finish_node)
+
+    result = await graph.compile().ainvoke({"counter": 0, "logs": [], "done": None})
+    assert db_writes == ["write"]
+    assert result["counter"] == 0
+    assert result["logs"] == ["resume=True"]
+    assert result["done"] == "ok"
+
+
+async def test_state_field_locking_serializes_conflicting_nodes() -> None:
+    graph = AdvancedStateGraph(PrimitiveState)
+    graph.add_async_channel("done", str)
+    intervals: dict[str, tuple[float, float]] = {}
+
+    async def start_node(state: PrimitiveState) -> Command:
+        return Command(
+            update=state,
+            goto=[
+                Send("worker_a", None),
+                Send("worker_b", None),
+                Send("wait_node", None),
+            ],
+        )
+
+    async def worker_a(ctx: Context, _input: None, state: PrimitiveState) -> Command:
+        started = time.perf_counter()
+        await asyncio.sleep(0.04)
+        ended = time.perf_counter()
+        intervals["a"] = (started, ended)
+        ctx.publish_to_channel("done", "a")
+        return Command(update=state)
+
+    async def worker_b(ctx: Context, _input: None, state: PrimitiveState) -> Command:
+        started = time.perf_counter()
+        await asyncio.sleep(0.04)
+        ended = time.perf_counter()
+        intervals["b"] = (started, ended)
+        ctx.publish_to_channel("done", "b")
+        return Command(update=state)
+
+    async def wait_node(ctx: Context, _input: None, state: PrimitiveState) -> Command:
+        await ctx.wait_for(channel_condition("done", min=2))
+        return Command(update=state, goto=Send("finish_node", None))
+
+    async def finish_node(_input: None, state: PrimitiveState) -> dict[str, object]:
+        return {"counter": state["counter"], "logs": state["logs"], "done": "ok"}
+
+    graph.add_entry_node(start_node)
+    graph.add_node(worker_a, state_option={"locked_fields": ["counter"]})
+    graph.add_node(worker_b, state_option={"locked_fields": ["counter"]})
+    graph.add_node(wait_node)
+    graph.add_finish_node(finish_node)
+
+    result = await graph.compile().ainvoke({"counter": 0, "logs": [], "done": None})
+    assert result["done"] == "ok"
+    assert "a" in intervals and "b" in intervals
+    a_start, a_end = intervals["a"]
+    b_start, b_end = intervals["b"]
+    serialized = (a_end <= b_start) or (b_end <= a_start)
+    assert serialized, f"expected serialized execution, got overlap: a={intervals['a']} b={intervals['b']}"
+

saf-python-sdk/tests/advanced-graph/test_run_pool_size.py

@@ -0,0 +1,56 @@
+import os
+import subprocess
+import sys
+
+
+def test_run_pool_size_one_still_allows_parallel_runs() -> None:
+    script = r"""
+import asyncio
+import time
+from typing_extensions import TypedDict
+from saf_python_sdk.advanced_graph import AdvancedStateGraph, Context, timer_condition
+from saf_python_sdk.types import Command, Send
+
+
+class RunState(TypedDict):
+    done: bool
+
+
+async def wait_node(ctx: Context, _: object, state: RunState) -> Command:
+    await ctx.wait_for(timer_condition(seconds=0.2))
+    return Command(goto=Send("finish_node", None), update=state)
+
+
+async def finish_node(_: object, state: RunState) -> dict[str, bool]:
+    return {"done": True}
+
+
+async def main() -> None:
+    graph = AdvancedStateGraph(RunState)
+    graph.add_entry_node(wait_node)
+    graph.add_finish_node(finish_node)
+    compiled = graph.compile()
+    started = time.perf_counter()
+    await asyncio.gather(
+        compiled.ainvoke({"done": False}),
+        compiled.ainvoke({"done": False}),
+    )
+    elapsed = time.perf_counter() - started
+    print(f"{elapsed:.6f}")
+
+
+asyncio.run(main())
+"""
+    env = os.environ.copy()
+    env["LANGGRAPH_RUN_POOL_SIZE"] = "1"
+    env.setdefault("LANGGRAPH_NODE_POOL_SIZE", "2")
+    completed = subprocess.run(
+        [sys.executable, "-c", script],
+        env=env,
+        capture_output=True,
+        text=True,
+        check=True,
+    )
+    elapsed = float(completed.stdout.strip().splitlines()[-1])
+    assert elapsed < 0.35, completed.stdout
+